Keqing Shi | Pathology | Best Researcher Award

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Prof. Keqing Shi | Pathology | Best Researcher Award

Director at The First Affiliated Hospital of Wenzhou Medical University, China

Dr. Shi Keqing is a distinguished professor, deputy chief physician, and doctoral supervisor with expertise in mechanobiology and cancer research. Over the past several years, he has made significant contributions to translational medicine, aiming to address pressing clinical challenges through innovative research. He has authored multiple high-impact publications in leading international journals and holds authorized invention patents, showcasing his strong scientific productivity and innovation. In addition to his academic achievements, he has successfully led major research projects supported by national and provincial foundations, demonstrating strong leadership and commitment to advancing medical science. He has also played a key role in establishing a clinic-based biomechanics platform, bringing together a multidisciplinary research team to bridge clinical applications with scientific exploration. His editorial responsibilities further highlight his role in shaping academic discourse, while his active involvement in talent development reflects his dedication to nurturing the next generation of researchers.

Professional Profile 

Scopus Profile | ORCID Profile 

Education

Dr. Shi Keqing pursued rigorous medical training, culminating in an MD degree, which laid a solid foundation for his career in clinical medicine and scientific research. His academic journey combined both clinical expertise and research excellence, enabling him to bridge the gap between medical practice and scientific inquiry. Through his education, he acquired strong theoretical knowledge in biology, medicine, and cancer research, complemented by practical training in advanced clinical methodologies. His exposure to diverse academic environments provided him with the analytical and problem-solving skills necessary to address complex medical challenges. This solid educational background allowed him to progress into specialized fields such as mechanobiology and translational medicine. With a commitment to academic growth, he pursued further learning and research opportunities, shaping his career as both a clinician and a scientist. His educational path reflects a balance of clinical medicine and innovative biomedical research, preparing him to contribute significantly to multidisciplinary advancements.

Professional Experience

Dr. Shi Keqing has established a remarkable professional career as a professor, deputy chief physician, and doctoral supervisor, integrating both academic and clinical responsibilities. His professional journey includes leading multiple research projects funded by the National Natural Science Foundation, provincial research programs, and ministry-level initiatives, reflecting his expertise in project management and scientific innovation. In addition to his research contributions, he has played a significant role in mentoring doctoral students and building a multidisciplinary team dedicated to translational medicine. He has also contributed to the development of a clinic-based biomechanics platform, which serves as a hub for collaborative studies between clinicians and researchers. Beyond his institutional responsibilities, Dr. Shi serves as a member of the editorial board of the Journal of Clinical and Translational Hepatology, actively contributing to academic publishing and peer review. His combined clinical practice and academic leadership underline his commitment to advancing both patient care and scientific discovery.

Research Interest

Dr. Shi Keqing’s research interests focus on mechanobiology and cancer, with an emphasis on developing translational strategies that connect fundamental science with clinical applications. His work explores how mechanical forces and biological processes interact in cancer development and progression, aiming to uncover new therapeutic approaches for improving patient outcomes. In addition to cancer research, he is interested in biomaterials, tissue repair, immunotherapy, and advanced diagnostic technologies, reflecting the multidisciplinary nature of his scientific approach. He has contributed to the development of innovative biomaterials for wound healing, novel drug delivery platforms, and advanced biosensors for cancer detection. His research also extends to exploring genetic and molecular mechanisms that influence immune responses and tumor microenvironments. By combining experimental studies with clinical applications, his research contributes to the creation of practical solutions to pressing medical challenges. His overarching goal is to address critical health issues by integrating scientific discovery with clinical innovation.

Award and Honor

Dr. Shi Keqing has been widely recognized for his contributions to medical research and has received numerous honors and distinctions throughout his career. He has been selected as a high-level top talent among leading academics in Zhejiang Province and has been included in the Academician Pair Youth Talent Training Program, demonstrating recognition of his leadership potential in academia. He has also been named among the young top talents of the Wenzhou Ou Yue Yingtalent Plan and the second level of the Wenzhou 551 Talent Project, reflecting both regional and institutional acknowledgment of his scientific achievements. His role as an editorial board member of the Journal of Clinical and Translational Hepatology highlights his influence in the international academic community. These awards and honors emphasize not only his research excellence but also his dedication to advancing clinical applications through translational medicine. They underscore his leadership, vision, and sustained contributions to biomedical research.

Research Skill

Dr. Shi Keqing has developed advanced research skills that encompass a wide range of techniques in mechanobiology, cancer biology, and translational medicine. He is skilled in integrating molecular biology, cell biology, and biomaterials research to design innovative therapeutic strategies. His expertise includes developing bio-inspired materials for tissue repair, exploring immune modulation mechanisms, and advancing cancer diagnostics through biomarker detection and nanotechnology. He has demonstrated strong proficiency in leading clinical and laboratory collaborations, establishing platforms that bring together multidisciplinary teams to tackle complex medical problems. His research skills extend to managing large-scale funded projects, authoring high-impact scientific publications, and guiding doctoral candidates in their academic growth. Additionally, he has expertise in applying computational approaches to medical imaging and pathology analysis, which strengthens his work in precision medicine. His ability to connect laboratory research with clinical translation demonstrates a holistic skill set that supports both scientific innovation and patient-centered outcomes.

Publications Top Notes

Title: A dynamically phase-adaptive regulating hydrogel promotes ultrafast anti-fibrotic wound healing
Year: 2025
Citation: 13

Title: Hepatic FXR-FGF4 is required for bile acid homeostasis via an FGFR4-LRH-1 signal node under cholestatic stress
Year: 2025
Citation: 13

Title: Piezo1-Mediated Ferroptosis Delays Wound Healing in Aging Mice by Regulating the Transcriptional Activity of SLC7A11 through Activating Transcription Factor 3
Year: 2025
Citation: 2

Title: Modulation of Macrophage ferroptosis under the guide of infrared thermography promotes the healing of pressure injuries
Year: 2025

Title: Natural, safety immunomodulatory derivatives of lactobacillus biofilms promote diabetic wound healing by metabolically regulating macrophage phenotype and alleviating local inflammation
Year: 2025

Title: Dental Pulp Stem Cell Lysate-Based Hydrogel Improves Diabetic Wound Healing via the Regulation of Anti-Inflammatory Macrophages and Keratinocytes
Year: 2024
Citation: 2

Title: Nanoparticles Fueled by Enzyme for the Treatment of Hyperlipidemic Acute Pancreatitis
Year: 2024
Citation: 2

Title: ACURAT: Advancing tuberculosis detection through assembled PCR & CRISPR for ultra-sensitive Rifampin-resistant analysis testing
Year: 2024
Citation: 3

Title: Sequential Regulation of Local Reactive Oxygen Species by Ir@Cu/Zn-MOF Nanoparticles for Promoting Infected Wound Healing
Year: 2024
Citation: 3

Title: Enteral nutrition in the management of acute pancreatitis: Modulates gut microbiome and alleviates inflammation
Year: 2024
Citation: 2

Conclusion

Overall, Dr. Shi Keqing stands out as a highly deserving candidate for the Best Researcher Award due to his impactful contributions at the intersection of mechanobiology and cancer research, his leadership in multidisciplinary translational medicine, and his dedication to solving clinical problems through innovative science. His impressive publication record, funded projects, and professional recognition underline his excellence, while his future potential lies in expanding his global collaborations and leadership roles, ensuring continued advancement of both research and clinical applications for the benefit of society.

Gehendra Sharma | Manufacturing Science | Best Researcher Award

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Mr. Gehendra Sharma | Manufacturing Science | Best Researcher Award

Research Engineer at Mississippi State University, United States

Mr. Gehendra Sharma is a mechanical engineer and research professional with extensive experience in designing, optimizing, and analyzing complex mechanical systems. He has a strong background in coupled system design, robust design, surrogate modeling, finite element modeling, data analysis, and machine learning approaches applied to engineering design. Over his career, he has contributed to national defense projects, biomedical device development, and advanced manufacturing research, demonstrating his ability to translate theoretical methods into practical solutions. He has an impressive publication record, including research in high-quality journals and conferences, reflecting his commitment to advancing engineering knowledge. Alongside his technical expertise, he has been actively involved in mentoring students, leading academic initiatives, and volunteering in social and educational programs. His professional achievements are complemented by his dedication to teaching and knowledge sharing, making him a well-rounded researcher with strong leadership, innovation, and societal impact potential.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile

Education

Mr. Gehendra Sharma earned his Master of Science in Mechanical Engineering from the University of Oklahoma, where he focused on designing coupled engineered systems under uncertainty and studied multi-criteria optimization, design theory, data-driven decision making, and applied statistical methods. His research involved integrating robust design methodologies into cloud-based systems to archive design knowledge and support design exploration. Prior to his master’s, he completed his Bachelor of Technology in Mechanical Engineering from Motilal Nehru National Institute of Technology, where he worked on mechanization and prototyping of a domestic roti roller and studied a wide range of mechanical engineering topics including machine design, thermodynamics, fluid mechanics, material science, and computer-aided design. His academic journey has been marked by consistently high performance, merit scholarships, and practical projects that combined theoretical knowledge with hands-on design and experimentation, providing him with a strong foundation in engineering principles, modeling, and system-level problem solving.

Professional Experience

Mr. Gehendra Sharma has worked as a research engineer at the Center for Advanced Vehicular Systems, contributing to projects that enhance defense capabilities, optimize additive manufacturing processes, and develop protective barriers and biomedical devices. He has implemented design optimization, robust design, finite element modeling, surrogate modeling, and machine learning approaches across diverse projects. His earlier experience as a graduate research assistant involved exploring robust solutions for coupled engineered systems, developing decision frameworks, and advancing composite structure design under uncertainty. He has also interned at Tata Research Development & Design Centre, applying robust design methods to composite structures, thermal power plant modeling, and gearbox analysis. Before his research career, he worked as a design engineer at Esco Couplings & Transmissions, leading product development, experimental testing, and manufacturing improvements. Throughout his career, he has consistently bridged academic research and industrial applications, demonstrating expertise in engineering design, analysis, prototyping, and innovation.

Research Interest

Mr. Gehendra Sharma’s research interests focus on design and optimization of mechanical and coupled systems under uncertainty, robust design exploration, surrogate modeling, finite element analysis, data-driven decision making, and machine learning applications in engineering. He has applied these methods in defense-related projects, additive manufacturing optimization, biomedical device design, and lightweight protective structures. He is particularly interested in integrating robust design methodologies with simulation, experimental testing, and predictive modeling to create efficient and reliable solutions for complex engineering problems. His work spans multi-objective optimization, system-level modeling, and development of decision support frameworks to guide engineers in exploring high-dimensional design spaces. He also explores the translation of theoretical methods into practical applications, including real-time monitoring, predictive modeling, and design automation, reflecting a commitment to advancing both the scientific understanding and industrial implementation of innovative engineering solutions.

Award and Honor

Mr. Gehendra Sharma has received multiple recognitions for his contributions to engineering research and innovation. He has been awarded cash prizes for competitions such as hydropower optimization challenges and received distinctions for his papers at international conferences. He has consistently earned merit scholarships and awards during his academic career for outstanding performance and innovation. His research projects have been recognized for excellence in design, robust optimization, and multi-objective engineering solutions. Additionally, he has been acknowledged for leadership in student committees, teaching, and mentoring roles, demonstrating a combination of technical skill and commitment to academic and community development. These awards and honors reflect both his technical expertise and his dedication to advancing engineering knowledge while contributing positively to professional and educational communities.

Research Skill

Mr. Gehendra Sharma possesses a diverse set of research skills, including design of coupled systems, robust and multi-objective design optimization, surrogate modeling, finite element analysis, data analysis, and predictive modeling using machine learning. He is proficient in programming languages such as Python, MATLAB, C, R, and VBA and is skilled in CAD and simulation tools including SolidWorks, Creo, ANSYS, Abaqus, and AutoCAD. He has experience in prototyping, experimental testing, and both destructive and non-destructive testing of components and materials. His research skills also include data-driven decision-making, algorithm development, and integrating theoretical methods into practical engineering solutions. In addition, he has mentoring and teaching skills that support knowledge transfer, enabling others to explore design problems, conduct simulations, and apply advanced methodologies, reflecting his comprehensive capability as a researcher and educator.

Publications Top Notes

Title: An ontology for representing knowledge of decision interactions in decision-based design
Authors: Z Ming, G Sharma, JK Allen, F Mistree
Year: 2020
Citation: 32

Title: A method for robust design in a coupled decision environment
Authors: G Sharma, JK Allen, F Mistree
Year: 2021
Citation: 17

Title: Template-based configuration and execution of decision workflows in design of complex engineered systems
Authors: Z Ming, G Sharma, JK Allen, F Mistree
Year: 2019
Citation: 16

Title: Data driven integrated design space exploration using iSOM
Authors: RR Sushil, M Baby, G Sharma, AB Nellippallil, P Ramu
Year: 2022
Citation: 11

Title: Design of composite structures through decision support problem and multiscale design approach
Authors: RK Pathan, SB Beemaraj, A Salvi, G Sharma, JK Allen, F Mistree
Year: 2019
Citation: 11

Title: Inverse multi-scale robust design of composite structures using design capability indices
Authors: SB Beemaraj, RK Pathan, AG Salvi, G Sharma, F Mistree, JK Allen
Year: 2020
Citation: 8

Title: Classification and execution of coupled decision problems in engineering design for exploration of robust design solutions
Authors: G Sharma, JK Allen, F Mistree
Year: 2019
Citation: 8

Title: Designing concurrently and hierarchically coupled engineered systems
Authors: G Sharma, JK Allen, F Mistree
Year: 2023
Citation: 7

Title: Exploring robust decisions in the design of coupled engineered systems
Authors: G Sharma, JK Allen, F Mistree
Year: 2023
Citation: 6

Title: Designing coupled engineered systems under uncertainty
Authors: G Sharma
Year: 2020
Citation: 5

Title: Multi-objective robust design exploration of a canine ventricular shunt for managing hydrocephalus
Authors: G Sharma, AB Nellippallil, R Yingling, NY Lee, A Shores, R Miralami
Year: 2021
Citation: 3

Title: Thermal Calibration of Finite Element Models in Wire Arc Directed Energy Deposition of ER-120S-G Using Thermocouples and Infrared Cameras
Authors: J Bassett, G Sharma, J Xie, J Storey, HG Kim, T Stone, H Dozier, S Mun
Year: 2025
Citation: 2

Conclusion

Mr. Gehendra Sharma stands out as a deserving candidate for the Best Researcher Award due to his impactful contributions to engineering research, defense applications, and innovative design methods that address real-world challenges. His work demonstrates a balance of academic excellence, industrial relevance, and societal benefit, particularly through projects in national defense, biomedical engineering, and advanced manufacturing. With his strong foundation in research and leadership, he has the potential to become a leading figure in multidisciplinary innovation and global collaborations, making him a valuable contributor to the advancement of science and technology.

Anita Choudhary | Cloud Computing | Best Researcher Award

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Dr. Anita Choudhary | Cloud Computing | Best Researcher Award

Assistant Professor at Sri Karan Narendra Agriculture University, Jobner, Jaipur, India

Dr. Anita Choudhary is an accomplished academician and researcher in the field of computer science, specializing in cloud computing, IoT, real-time systems, and computer networks. She has contributed to the advancement of technology through research, teaching, and leadership roles in reputed institutions across India. With extensive teaching experience and numerous publications in journals and international conferences, she has established herself as a committed professional dedicated to academic excellence and research innovation. She has actively participated in academic coordination, lab establishment, and infrastructure development, fostering a strong research culture in her institutions. She has organized and delivered expert talks, workshops, and training programs, making significant contributions to student development and capacity building. As a resource person for various FDPs and training sessions, she has guided young researchers and faculty members in emerging areas of computing. Her achievements demonstrate her potential as a promising researcher and leader in academia.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Dr. Anita Choudhary holds a strong academic background in computer science, beginning with her Bachelor of Technology in Information Technology from University College of Engineering, Kota, where she laid the foundation of her technical expertise. She further pursued a Master of Technology in Computer Engineering from the National Institute of Technology, Kurukshetra, where she graduated with honors and distinction, demonstrating her academic rigor. Building on this, she earned her Doctor of Philosophy degree in Computer Science from Malaviya National Institute of Technology, Jaipur, where she conducted research on energy-efficient resource provisioning and scheduling in cloud computing environments under the guidance of distinguished professors. This academic journey reflects her consistent dedication to advancing her knowledge and contributing to research in high-demand areas. Her qualifications not only highlight her subject expertise but also her perseverance and commitment to achieving academic excellence, making her well-positioned for impactful research and leadership in computer science.

Professional Experience

Dr. Anita Choudhary has gained extensive professional experience as an Assistant Professor in several reputed institutions across India. She has served in both regular and contractual positions, contributing her expertise to universities such as the Central University of Rajasthan, Manipal University Jaipur, Engineering College Ajmer, and Rajasthan Agricultural Research Institute under SKNAU, Jobner. In each role, she has been actively engaged in teaching, research, and mentoring students while also contributing to institutional development. Her responsibilities have included academic coordination, examination management, placement support, and involvement in various academic committees. She has been instrumental in the establishment of advanced computer labs and has taken on leadership roles in organizing training programs, workshops, and international conferences. Her career reflects a balance of academic responsibilities and research contributions, where she has consistently worked toward enhancing student learning, promoting research culture, and contributing to the overall growth of her institutions.

Research Interest

Dr. Anita Choudhary’s research interests are centered around cloud computing, with a focus on energy-efficient resource provisioning, scheduling algorithms, and workflow management. She has worked extensively on developing models for virtual machine migration, server consolidation, and power-aware resource utilization, addressing challenges in optimizing computational efficiency. Alongside cloud computing, she has also explored related fields such as grid computing, operating systems, and real-time systems, which provide her with a broader perspective on distributed and large-scale computing environments. More recently, her interests have expanded to the Internet of Things, where she has published comprehensive works addressing architectures, applications, and challenges, as well as the emerging field of quantum computing, where she has delivered talks at international conferences. Her research interests align with global trends in computing, allowing her to make contributions to both theoretical and applied aspects of computer science that can benefit academia, industry, and society at large.

Award and Honor

Dr. Anita Choudhary has been recognized for her academic achievements and contributions through various awards and distinctions. She qualified the Graduate Aptitude Test in Engineering, a national-level examination that signifies her strong technical foundation, and later cleared the University Grants Commission National Eligibility Test, establishing her eligibility for higher academic positions. She has also been acknowledged for her teaching and research contributions by being invited as a resource person to deliver expert lectures at prestigious institutes and national faculty development programs. Her papers have been accepted and presented at several reputed IEEE and Scopus-indexed conferences, with one of her works earning recognition as the third-best paper. In addition, she has received opportunities to play significant roles in academic and research development through her involvement as a joint organizing secretary and coordinator of international conferences, workshops, and training programs. These honors reflect her commitment to excellence and leadership in academia.

Research Skill

Dr. Anita Choudhary possesses strong research skills that encompass both theoretical and applied aspects of computer science. She has expertise in designing and evaluating algorithms for cloud resource provisioning, workflow scheduling, and server consolidation, with a focus on achieving energy efficiency and scalability in computing environments. Her ability to critically analyze and synthesize research has led to quality publications in international journals and conferences. She is skilled in simulation tools and technologies commonly used in evaluating cloud and IoT environments, enabling her to test and validate proposed models. Beyond technical research, she is adept at academic writing, having authored papers, survey articles, and book chapters that provide comprehensive overviews of emerging technologies. She also demonstrates organizational and leadership skills through coordinating research initiatives, lab establishment, and training workshops. Her research skills are complemented by her teaching, mentoring, and collaborative work, positioning her as a well-rounded academic and researcher.

Publications Top Notes

Title: A critical survey of live virtual machine migration techniques
Authors: A Choudhary, MC Govil, G Singh, LK Awasthi, ES Pilli, D Kapil
Year: 2017
Citation: 149

Title: Energy-aware scientific workflow scheduling in cloud environment
Authors: A Choudhary, MC Govil, G Singh, LK Awasthi, ES Pilli
Year: 2022
Citation: 31

Title: Internet of Things: a comprehensive overview, architectures, applications, simulation tools, challenges and future directions
Authors: A Choudhary
Year: 2024
Citation: 20

Title: Task clustering-based energy-aware workflow scheduling in cloud environment
Authors: A Choudhary, MC Govil, G Singh, LK Awasthi, ES Pilli
Year: 2018
Citation: 18

Title: Improved virtual machine migration approaches in cloud environment
Authors: A Choudhary, MC Govil, G Singh, LK Awasthi, ES Pilli, N Kumar
Year: 2016
Citation: 16

Title: Score-based Incentive Mechanism (SIM) for live multimedia streaming in peer-to-peer network
Authors: SA Ansari, K Pal, MC Govil, M Ahmed, T Chawla, A Choudhary
Year: 2021
Citation: 15

Title: Rapid A*: a robust path planning scheme for UAVs
Authors: P Kumar, K Pal, MC Govil, A Choudhary
Year: 2023
Citation: 9

Title:Energy-efficient resource allocation approaches with optimum virtual machine migrations in cloud environment
Authors: A Choudhary, MC Govil, G Singh, LK Awasthi
Year: 2016
Citation: 7

Title:Energy-efficient fuzzy-based approach for dynamic virtual machine consolidation
Authors: A Choudhary, MC Govil, G Singh, LK Awasthi, ES Pilli
Year: 2019
Citation: 4

Title: Workflow scheduling algorithms in cloud environment: A review, taxonomy, and challenges
Authors: A Choudhary, MC Govil, G Singh, LK Awasthi
Year: 2016
Citation: 3

Title:A survey of energy-aware server consolidation in cloud computing
Authors: S Sagar, A Choudhary, MSA Ansari, MC Govil
Year: 2022
Citation: 2

Conclusion

Dr. Anita Choudhary is a deserving candidate for the Best Researcher Award due to her consistent contributions in cloud computing, IoT, and emerging technologies, along with her active role in academic development and institutional leadership. Her research outputs in reputed journals and conferences, combined with her efforts in establishing advanced labs and organizing international workshops, reflect both academic excellence and societal impact. With her strong foundation in teaching, research, and community engagement, she demonstrates significant potential for future leadership in advancing innovative research, fostering global collaborations, and driving technological progress that benefits both academia and industry.

Jong-Hyun Kim | Applied Visual Computing | Best Researcher Award

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Prof. Jong-Hyun Kim | Applied Visual Computing | Best Researcher Award

Associate Professor at Inha University, South Korea

Prof. Jong-Hyun Kim is an Associate Professor at the College of Software and Convergence, Department of Artificial Intelligence, Design Technology at Inha University, with a joint appointment at the Graduate School of Electrical and Computer Engineering. He is a distinguished researcher with expertise spanning computer graphics, visual effects, physically based simulation, physics engines, artificial intelligence, VR/AR, geometry processing, and GPU optimization. His career bridges academia and industry, having led and participated in numerous national research projects and industry collaborations in areas such as digital twin technology, immersive simulation systems, and AI convergence. With an impressive record of award-winning publications in reputed conferences and journals indexed in IEEE and Scopus, he has contributed significantly to advancing emerging technologies. His leadership in collaborative initiatives and dedication to innovative research continue to strengthen his impact on both scientific communities and practical applications.

Professional Profile 

ORCID Profile

Education

Prof. Jong-Hyun Kim completed his Ph.D. in Computer Science and Engineering from Korea University, following his master’s degree and bachelor’s degree in the same field from Korea University and Sejong University, respectively. His academic journey reflects a strong foundation in both theoretical and applied aspects of computer science, equipping him with advanced skills in simulation, visualization, and artificial intelligence. His studies covered a broad spectrum of technical disciplines, from physics-based modeling and geometry processing to interactive graphics and human-computer interaction. The rigorous academic training at prestigious institutions provided him with the expertise to excel in interdisciplinary research and to address complex computational challenges. This solid educational background has enabled him to integrate advanced computing techniques with creative technological solutions, laying the groundwork for his influential research contributions in academia and his ability to collaborate effectively with industry partners on innovative projects.

Professional Experience

Prof. Jong-Hyun Kim currently serves as an Associate Professor at Inha University, having previously held the same position at Kangnam University. He has also served as a lecturer and teaching fellow at Korea University, contributing to the development of academic programs and mentoring students in advanced computing topics. Before his academic career, he worked extensively in the industry as a senior research engineer and research engineer at multiple companies, gaining hands-on experience in simulation technologies, visual effects, and interactive systems. His professional trajectory reflects a balance between academic scholarship and practical application, with roles that involved designing innovative solutions, leading research teams, and collaborating on both government-funded and industry-driven projects. His combined academic and industrial experience has strengthened his expertise in bridging theoretical research with real-world implementation, enhancing his ability to deliver impactful outcomes in both educational and technological domains.

Research Interest

Prof. Jong-Hyun Kim’s research interests cover a broad and interdisciplinary range of topics, including computer graphics, visual effects, physically based simulation, physics engines, and game physics. He actively explores artificial intelligence techniques for scientific visualization, geometry processing, image processing, and immersive VR/AR experiences. His work often focuses on GPU optimization to achieve real-time performance in complex simulations, enabling practical applications in gaming, virtual reality, and industrial simulations. Additionally, he is interested in human-computer interaction, particularly in developing intuitive interfaces for creative expression and realistic virtual environments. His projects integrate physics-based modeling with AI-driven approaches to address challenges in simulation accuracy, interactivity, and scalability. By combining deep technical expertise with creativity, his research aims to advance the capabilities of simulation and visualization technologies, making them more efficient, accessible, and adaptable for diverse fields ranging from entertainment and education to engineering and healthcare.

Award and Honor

Prof. Jong-Hyun Kim has received numerous awards and honors recognizing his excellence in research, innovation, and academic contributions. His accolades include multiple Best Paper Awards from prestigious conferences such as those organized by the Korea Society of Computer and Information and the Korean Association of Data Science, acknowledging his groundbreaking work in simulations, VR frameworks, AI-driven modeling, and GPU optimization. He has been honored by the Ministry of Science and ICT and the Korean Ministry of Education for his creative and impactful research ideas. His achievements extend beyond academia, with awards recognizing his leadership in industry-academic cooperation and excellence in teaching. These recognitions reflect his sustained contributions to advancing cutting-edge technologies, fostering collaboration between academia and industry, and mentoring future innovators. His consistent recognition at national and professional levels underscores his influence in both research and education, and his ongoing commitment to delivering impactful technological advancements.

Research Skill

Prof. Jong-Hyun Kim possesses advanced research skills in multiple technical domains, including physically based simulation, visual effects, GPU optimization, and complex animation systems. He is proficient in designing real-time interactive environments, implementing physics engines, and integrating artificial intelligence into simulation and visualization frameworks. His expertise includes scientific visualization, geometry processing, VR/AR development, and image processing, enabling him to create innovative solutions that merge creativity with computational precision. He has extensive experience managing large-scale research projects funded by national agencies and industry partners, demonstrating strong project management, team leadership, and cross-disciplinary collaboration skills. His technical abilities are complemented by his capacity to translate theoretical models into practical applications across entertainment, engineering, and scientific research. By combining analytical thinking, problem-solving, and creative design, he continues to push the boundaries of simulation and visualization technologies, contributing significantly to both academic advancements and industry innovation.

Publications Top Notes

Title: A Geometric Approach to Efficient Modeling and Rendering of Opaque Ice With Directional Air Bubbles
Authors: Jong-Hyun Kim
Year: 2025

Title: Advanced GPU Techniques for Dynamic Remeshing and Self-Collision Handling in Real-Time Cloth Tearing
Authors: Jong-Hyun Kim; Jung Lee
Year: 2025

Title: Improved Air Mesh Refinement for Accurate Strand-Solid and Self-Collision Handling
Authors: Jong-Hyun Kim
Year: 2025

Title: Neural Network-Based Projective Grid Model for Learning Representation of Surface and Wave Foams
Authors: Jong-Hyun Kim
Year: 2025

Title: Porous Models for Enhanced Representation of Saturated Curly Hairs: Simulation and Learning
Authors: Jong-Hyun Kim; Jung Lee
Year: 2025

Title: A 3D Visual Tool for Analyzing Changes in Hair Volume and Length Caused by Medications
Authors: Jong‐Hyun Kim; Jung Lee; Seungbin Kwon; Minji Jo; Yunjin Hwang; In‐Sook An
Year: 2025

Title: Numerical Dispersed Flow Simulation of Fire-Flake Particle Dynamics and Its Learning Representation
Authors: Jong-Hyun Kim; Jung Lee
Year: 2025

Title: Unified GPU Framework for Simulating Wave Turbulence, Diffusion, and Wrinkling in Fluid-Cloth Interaction
Authors: Eun Su Park; Juyong Lee; In Kyu Park; Jong-Hyun Kim
Year: 2025

Title: Scalable and Rapid Nearest Neighbor Particle Search Using Adaptive Disk Sector
Authors: Jong-Hyun Kim; Shaofeng Xu; Jung Lee
Year: 2025

Title: Depth-of-Field Region Detection and Recognition From a Single Image Using Adaptively Sampled Learning Representation
Authors: Jong-Hyun Kim; Youngbin Kim
Year: 2024

Title: Motion Generation and Analyzing the User’s Arm Muscles via Leap Motion and Its Data-Driven Representations
Authors: Jong-Hyun Kim; Jung Lee; Youngbin Kim
Year: 2024

Title: Visualization of Vector Fields from Density Data Using Moving Least Squares Based on Monte Carlo Method
Authors: Jong-Hyun Kim
Year: 2024

Title: Isoline Tracking in Particle-Based Fluids Using Level-Set Learning Representation
Authors: Jun Yeong Kim; Chang Geun Song; Jung Lee; Jong-Hyun Kim; Jong Wan Lee; Sun-Jeong Kim
Year: 2024

Title: Efficient and Stable Generation of High-Resolution Hair and Fur With ConvNet Using Adaptive Strand Geometry Images
Authors: Jong-Hyun Kim; Jung Lee
Year: 2023

Conclusion

Prof. Jong-Hyun Kim is highly deserving of the Best Researcher Award for his outstanding contributions to cutting-edge research in computer graphics, AI-driven simulation, and immersive technologies, as well as his significant role in bridging academia and industry through impactful collaborative projects. His innovative work has advanced both scientific understanding and practical applications, benefiting diverse sectors and inspiring the next generation of researchers. With a proven track record of excellence, leadership, and innovation, he holds strong potential to make even greater contributions to research and society in the future.

Xiuyuan Chen | 3D reconstruction | Best Researcher Award

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Dr. Xiuyuan Chen | 3D reconstruction | Best Researcher Award

Surgeon at Peking University People’s Hospital, China

Dr. Xiuyuan Chen is an accomplished thoracic surgeon and researcher specializing in minimally invasive thoracic surgery, precision resection of early-stage lung cancer, and perioperative multidisciplinary treatment of locally advanced lung cancer. His innovative research integrates artificial intelligence into surgical navigation systems, aiming to improve precision and patient outcomes. With an MD in Surgery from Peking University and postdoctoral training in oncology at the University of Michigan, he has built a strong foundation in both clinical expertise and cutting-edge research. Dr. Chen has secured competitive funding, including the National Natural Science Foundation of China Youth Fund, and has contributed to China’s “New Generation Artificial Intelligence” initiative. His publications in high-impact journals such as Frontiers in Oncology, Thoracic Cancer, and Autophagy have gained international recognition. Actively involved in professional organizations, he is committed to advancing thoracic surgery through innovation, collaboration, and clinical application, making significant contributions to both academic research and patient care.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Dr. Xiuyuan Chen earned his MD in Surgery from Peking University, where he developed a strong foundation in clinical medicine and surgical techniques. He later advanced his expertise through a postdoctoral fellowship in oncology at the University of Michigan, gaining exposure to global research methodologies and cutting-edge cancer treatments. His interest in integrating technology into healthcare led him to pursue additional training in artificial intelligence and data science through specialized programs such as the Deep Learning Nanodegree from Udacity and courses in machine learning and data analysis from Coursera and the University of Michigan. This combination of clinical and technological education has allowed him to bridge the gap between surgery and AI-based innovations. His multidisciplinary academic background not only strengthened his surgical skills but also equipped him with the ability to design and implement AI-assisted tools for thoracic surgery, positioning him at the forefront of modern medical research and innovation.

Professional Experience

Dr. Xiuyuan Chen currently serves as Associate Professor and Senior Attending in the Department of Thoracic Surgery at Peking University People’s Hospital, where he performs complex thoracic surgeries and leads research initiatives. His professional journey began as a resident in the same department, later advancing to chief resident and attending physician roles. He also completed a postdoctoral fellowship at the University of Michigan Rogel Cancer Center, where he engaged in oncology research with an emphasis on translational medicine. Over the years, he has participated in key national and international research projects, including collaborations between Michigan Medicine and Peking University. His work spans both patient care and advanced research, integrating surgical precision with AI-assisted decision-making. Dr. Chen’s professional career reflects a balance of clinical excellence, academic leadership, and collaborative research, enabling him to make impactful contributions to both healthcare practice and the development of innovative surgical technologies.

Research Interest

Dr. Xiuyuan Chen’s research interests lie at the intersection of thoracic surgery, oncology, and artificial intelligence. He focuses on developing AI-assisted surgical planning systems and multi-dimensional integrated surgical navigation tools that enhance precision in lung cancer surgeries. His work also explores the use of advanced imaging algorithms for anatomical mapping and the integration of deep learning techniques to predict surgical outcomes. Additionally, he is interested in the application of targeted therapy, immunotherapy, and chemotherapy in perioperative management for locally advanced lung cancer. Dr. Chen aims to bridge the gap between medical technology and clinical application, ensuring that innovations directly translate to improved patient care. He is committed to multidisciplinary research that combines data science, biomedical engineering, and surgery, while also contributing to national initiatives in AI for healthcare. His vision is to create intelligent surgical systems that can standardize complex procedures and optimize treatment strategies for thoracic oncology patients.

Award and Honor

Dr. Xiuyuan Chen has received recognition for his innovative contributions to thoracic surgery and oncology research. He was awarded the prestigious National Natural Science Foundation of China Youth Fund for his study on circular RNA mechanisms in lung cancer. As a key researcher in China’s “New Generation Artificial Intelligence” major project under the Science and Technology Innovation 2030 initiative, he has contributed to the development of AI-driven solutions in surgical navigation. His research collaborations with Michigan Medicine have also earned acknowledgment for advancing translational cancer research. In addition to funded projects, Dr. Chen’s publications in internationally recognized journals have been cited widely, reflecting the academic and clinical value of his work. His active involvement in professional societies, such as the International Association for the Study of Lung Cancer and the Society of Thoracic Surgeons, further demonstrates his leadership in the field. These honors reflect his dedication to advancing science and improving patient care.

Research Skill

Dr. Xiuyuan Chen possesses a diverse set of research skills that combine clinical expertise with technological innovation. His proficiency in thoracic surgery is complemented by advanced capabilities in artificial intelligence applications for medical imaging and surgical planning. He is skilled in developing and applying deep learning algorithms for anatomical segmentation and 3D reconstruction in lung cancer surgery. His expertise extends to designing translational research studies that integrate laboratory findings with clinical applications, particularly in targeted therapy, immunotherapy, and molecular oncology. Dr. Chen has experience managing multidisciplinary research teams, securing competitive grants, and conducting collaborative studies across institutions and countries. He is adept at data analysis, statistical modeling, and interpretation of complex biomedical datasets. His ability to merge AI-driven solutions with surgical precision positions him as a leader in next-generation surgical innovations, with the skills to drive impactful research that advances both academic knowledge and patient treatment outcomes.

Publications Top Notes

Title: Artificial intelligence driven 3D reconstruction for enhanced lung surgery planning
Authors: X Chen, C Dai, M Peng, D Wang, X Sui, L Duan, X Wang, X Wang, …
Year: 2025
Citation: 1

Title: Deep learning algorithm for automatic prediction of visceral pleural invasion of lung cancer based on surgical video
Authors: H Xu, W Mu, R Zou, C Cao, Z Sun, S Cheng, T Guan, H Li, X Chen, …
Year: 2023
Citation: 1

Title: An atlas of anatomical variants of subsegmental pulmonary arteries and recognition error analysis
Authors: H Xu, H Zhao, J Jin, J Geng, C Sun, D Wang, N Hong, F Yang, X Chen
Year: 2023
Citation: 8

Title: Circular RNA, circular RARS, promotes aerobic glycolysis of non‐small‐cell lung cancer by binding with LDHA
Authors: H Li, Q Huang, H Guo, X Chen, X Li, M Qiu
Year: 2023
Citation: 7

Title: AI-based chest CT semantic segmentation algorithm enables semi-automated lung cancer surgery planning by recognizing anatomical variants of pulmonary vessels
Authors: X Chen, H Xu, Q Qi, C Sun, J Jin, H Zhao, X Wang, W Weng, S Wang, …
Year: 2022
Citation: 16

Title: A fully automated noncontrast CT 3‐D reconstruction algorithm enabled accurate anatomical demonstration for lung segmentectomy
Authors: X Chen, Z Wang, Q Qi, K Zhang, X Sui, X Wang, W Weng, S Wang, …
Year: 2022
Citation: 27

Title: Total nodule number as an independent prognostic factor in resected stage III non-small cell lung cancer: a deep learning-powered study
Authors: X Chen, Q Qi, Z Sun, D Wang, J Sun, W Tan, X Liu, T Liu, N Hong, F Yang
Year: 2022
Citation: 7

Title: Lung cancer organoids analyzed on microwell arrays predict drug responses of patients within a week
Authors: Y Hu, X Sui, F Song, Y Li, K Li, Z Chen, F Yang, X Chen, Y Zhang, X Wang, …
Year: 2021
Citation: 237

Title: Circular RNA circHIPK3 modulates autophagy via MIR124-3p-STAT3-PRKAA/AMPKα signaling in STK11 mutant lung cancer
Authors: X Chen, R Mao, W Su, X Yang, Q Geng, C Guo, Z Wang, J Wang, …
Year: 2020
Citation: 287

Title: Validation of a serum 4-microRNA signature for the detection of lung cancer
Authors: X Yang, W Su, X Chen, Q Geng, J Zhai, H Shan, C Guo, Z Wang, H Fu, …
Year: 2019
Citation: 19

Title: High throughput scaffold-based 3D micro-tumor array for efficient drug screening and chemosensitivity testing
Authors: X Yan, L Zhou, Z Wu, X Wang, X Chen, F Yang, Y Guo, M Wu, Y Chen, …
Year: 2019
Citation: 78

Title: Silencing of long noncoding RNA MIR22HG triggers cell survival/death signaling via oncogenes YBX1, MET, and p21 in lung cancer
Authors: W Su, S Feng, X Chen, X Yang, R Mao, C Guo, Z Wang, DG Thomas, …
Year: 2018
Citation: 154

Title: The identification of sub-centimetre nodules by near-infrared fluorescence thoracoscopic systems in pulmonary resection surgeries
Authors: Y Mao, C Chi, F Yang, J Zhou, K He, H Li, X Chen, J Ye, J Wang, J Tian
Year: 2017
Citation: 50

Title: Comparison between sublobar resection and lobectomy for the surgical treatment of elderly patients with early stage non-small-cell lung cancer (STEPS): an open label …
Authors: F Yang, X Sui, X Chen, J Wang
Year: 2017
Citation: 1

Title: Overexpression of LINC00152 correlates with poor patient survival and knockdown impairs cell proliferation in lung cancer
Authors: S Feng, J Zhang, W Su, S Bai, L Xiao, X Chen, J Lin, RM Reddy, …
Year: 2017
Citation: 41

Conclusion

Dr. Chen is a deserving candidate for the Best Researcher Award due to his exceptional contributions in advancing thoracic surgery through innovative AI-assisted techniques and multidisciplinary cancer treatment approaches. His research has significantly impacted both clinical practice and patient outcomes, with strong evidence of leadership in funded projects and influential publications. With his dedication to translational medicine, commitment to improving surgical precision, and potential to lead groundbreaking international collaborations, he is poised to make even greater contributions to research and society in the future.

Xiaodong Zhang | Healthcare Applications | Best Researcher Award

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Prof. Xiaodong Zhang | Healthcare Applications | Best Researcher Award

Professor at Anhui Agricultural University, China

Prof. Xiaodong Zhang is a distinguished academic and researcher in the field of animal genetics, breeding, and reproduction, with a special focus on porcine reproduction and molecular breeding. Over his career, he has contributed significantly to advancing livestock genetics through innovative research, impactful publications, and leadership in major funded projects. His expertise spans molecular biology, transcriptomics, proteomics, and bioinformatics, enabling him to address critical challenges in animal science. As a professor at the College of Animal Science and Technology, Anhui Agricultural University, he has played a key role in guiding students and integrating research outcomes into academic curricula. His work has been published in several internationally recognized journals, and he has received multiple awards for scientific and technological progress. With a proven track record in research and teaching, he continues to contribute to scientific advancements while aiming to expand his global collaborations and enhance the practical applications of his research.

Professional Profile 

Google Scholar 

Education

Prof. Xiaodong Zhang pursued his academic journey in animal genetics, breeding, and reproduction at Anhui Agricultural University, where he completed his Bachelor of Science in Animal Science, followed by a Master of Science in Animal Genetics, Breeding, and Reproduction. He then earned his Ph.D. in the same field, focusing on advanced research techniques and genetic improvement strategies in livestock, particularly swine. His education provided him with a strong foundation in animal physiology, molecular biology, bioinformatics, and breeding technologies. During his postgraduate studies, he was involved in several research projects, gaining hands-on experience in laboratory techniques, data analysis, and experimental design. This academic training not only equipped him with technical expertise but also fostered his ability to lead research teams and develop innovative solutions for challenges in animal science. His consistent academic performance and recognition through scholarships further highlighted his dedication to academic excellence and his potential as a leading researcher.

Professional Experience

Prof. Xiaodong Zhang has built an impressive academic career at the College of Animal Science and Technology, Anhui Agricultural University. He began as a lecturer, where he developed and delivered courses in swine science and bioinformatics, inspiring undergraduate students with practical and research-based learning. He later advanced to associate professor, taking on more responsibilities in research leadership, graduate student supervision, and curriculum development. His expertise and contributions eventually led to his appointment as a full professor, where he continues to lead research projects, publish high-impact studies, and mentor the next generation of scientists. Throughout his career, he has managed national and provincial research projects, secured competitive grants, and established productive collaborations. His role also involves enhancing the integration of research findings into industry practices, thereby benefiting the agricultural sector. His steady career progression reflects his academic leadership, commitment to excellence, and sustained contributions to both education and scientific research.

Research Interest

Prof. Xiaodong Zhang’s research interests lie primarily in the regulation of porcine reproduction and growth, as well as molecular genetics and breeding of swine. He is deeply engaged in understanding the genetic mechanisms that influence reproductive traits, litter size, and overall productivity in pigs. His work incorporates advanced molecular biology techniques, including transcriptomic and proteomic analyses, to identify key genes, microRNAs, and non-coding RNAs involved in reproductive processes. He is also interested in applying bioinformatics tools to interpret large-scale genomic and transcriptomic data, facilitating targeted breeding strategies and genetic improvement programs. Beyond swine genetics, his research contributes to broader agricultural goals by improving livestock productivity, sustainability, and genetic diversity. His findings have practical implications for breeding programs, helping optimize genetic traits for commercial farming. His dedication to both fundamental and applied research ensures that his work supports academic advancements while directly benefiting the livestock industry.

Award and Honor

Prof. Xiaodong Zhang has been recognized with numerous awards for his outstanding contributions to research, teaching, and technological innovation. His achievements include the First Prize of Scientific and Technological Progress of Anhui Province as the second awardee, the Third Prize of Scientific and Technological Progress of Anhui Province as the first awardee, and the Second Prize of Scientific and Technological Progress of Hefei City. In addition, he has been honored with a teaching competition award for young teachers at Anhui Agricultural University and received the prestigious national doctoral scholarship in recognition of his academic excellence. These accolades reflect not only his research capabilities but also his dedication to education and the application of scientific findings to real-world agricultural challenges. His consistent recognition at provincial and national levels underscores his role as a leading contributor to the advancement of animal genetics and breeding, further establishing his reputation in the academic community.

Research Skill

Prof. Xiaodong Zhang possesses a diverse set of research skills that span molecular biology, animal genetics, bioinformatics, and reproductive physiology. He is proficient in designing and conducting experiments involving transcriptomics, proteomics, and RNA sequencing to explore genetic and molecular mechanisms in livestock. His expertise includes the identification and functional analysis of microRNAs, non-coding RNAs, and gene expression profiles related to reproductive traits in pigs. He is skilled in data processing, statistical analysis, and the use of bioinformatics tools to interpret complex genomic datasets. In addition, he has extensive experience in managing research projects, securing funding, and leading collaborative teams. His ability to integrate laboratory findings with practical breeding programs demonstrates his strength in applied research. With a strong publication record as a corresponding author in international journals, he has proven his capability to produce impactful scientific outcomes that advance both academic understanding and industry practices in animal science.

Publications Top Notes

Title: Phonon density of states measured by inelastic nuclear resonant scattering
Authors: W Sturhahn, TS Toellner, EE Alp, X Zhang, M Ando, Y Yoda, S Kikuta, …
Year: 1995
Citation: 560

Title: Ultrasmall glutathione-protected gold nanoclusters as next generation radiotherapy sensitizers with high tumor uptake and high renal clearance
Authors: XD Zhang, Z Luo, J Chen, S Song, X Yuan, X Shen, H Wang, Y Sun, …
Year: 2015
Citation: 286

Title: Attempts to mimic docking processes of the immune system: recognition-induced formation of protein multilayers
Authors: W Müller, H Ringsdorf, E Rump, G Wildburg, X Zhang, L Angermaier, …
Year: 1993
Citation: 273

Title: Irreversible capacities of graphite in low‐temperature electrolytes for lithium‐ion batteries
Authors: MC Smart, BV Ratnakumar, S Surampudi, Y Wang, X Zhang, …
Year: 1999
Citation: 255

Title: Treatment of benign thyroid nodules: comparison of surgery with radiofrequency ablation
Authors: Y Che, S Jin, C Shi, L Wang, X Zhang, Y Li, JH Baek
Year: 2015
Citation: 224

Title: Effects of fasting on the meat quality and antioxidant defenses of market-size farmed large yellow croaker (Pseudosciaena crocea)
Authors: XD Zhang, YF Zhu, LS Cai, TX Wu
Year: 2008
Citation: 208

Title: Joint analysis of three genome-wide association studies of esophageal squamous cell carcinoma in Chinese populations
Authors: C Wu, Z Wang, X Song, XS Feng, CC Abnet, J He, N Hu, XB Zuo, W Tan, …
Year: 2014
Citation: 182

Title: Serum microRNA panel as biomarkers for early diagnosis of colorectal adenocarcinoma
Authors: G Zheng, L Du, X Yang, X Zhang, L Wang, Y Yang, J Li, C Wang
Year: 2014
Citation: 154

Title: Panchromatic observations of SN 2011dh point to a compact progenitor star
Authors: AM Soderberg, R Margutti, BA Zauderer, M Krauss, B Katz, L Chomiuk, …
Year: 2012
Citation: 146

Title: Protective effect of puerarin against beta-amyloid-induced oxidative stress in neuronal cultures from rat hippocampus: involvement of the GSK-3β/Nrf2 signaling pathway
Authors: Y Zou, B Hong, L Fan, L Zhou, Y Liu, Q Wu, X Zhang, M Dong
Year: 2013
Citation: 134

Conclusion

Prof. Xiaodong Zhang is highly deserving of the Best Researcher Award for his significant contributions to the fields of animal genetics, breeding, and reproduction, particularly in advancing knowledge on porcine reproduction and molecular breeding. His extensive research output, leadership in funded projects, and integration of scientific advancements into education have had a meaningful impact on both the academic community and the livestock industry. With his strong foundation and dedication, he is well-positioned to expand his research influence globally, foster innovative solutions for agricultural challenges, and take on greater leadership roles in advancing scientific progress and societal development.

Daesung Park | Sustainable Energy Applications | Best Researcher Award

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Assist. Prof. Dr. Daesung Park | Sustainable Energy Applications | Best Researcher Award

Assistant Professor at Technical University of Denmark, Denmark

Dr. Daesung Park is a dedicated researcher specializing in experimental solid-state physics, materials science, nanotechnology, and energy conversion. His expertise spans functional oxides, defect engineering, strain-mediated property tuning, and advanced thin-film devices for applications in sensors, MEMS, and energy-efficient electronics. He has successfully led and collaborated on prestigious international research projects funded by programs such as the Villum Young Investigator Program, EU Horizon 2020, and SNSF-Swiss, working with leading institutions including EPFL, ETH Zurich, University of Oxford, and the Max Planck Institute. His work has been published in high-impact journals such as Science, Nature, Nature Communications, Advanced Materials, and Applied Physics Reviews, earning global recognition for innovation and scientific excellence. Beyond research, he contributes to the academic community as a reviewer for top-tier journals, an organizer of international conferences, and a mentor to postgraduate students. Dr. Park’s career reflects a consistent commitment to pushing the boundaries of science and technology.

Professional Profile 

Scopus Profile | ORCID Profile 

Education

Dr. Park earned his Ph.D. in Condensed Matter Physics from the University of Warwick, focusing his doctoral research on the growth, characterization, and functionalization of wide band gap oxide alloys. His education provided a strong foundation in experimental and analytical methods for advanced materials research, which he has since applied to energy conversion and nanotechnology. Before his doctoral studies, he built a solid background in physics, equipping him with both theoretical and practical knowledge in materials science. His academic journey fostered expertise in functional oxide systems, electromechanical coupling, and defect engineering, allowing him to approach complex material challenges from a multidisciplinary perspective. This strong educational base enabled him to integrate fundamental physics with emerging applications in energy, electronics, and nanotechnology, shaping his path as an innovative and globally recognized researcher. His training also emphasized collaborative research, preparing him to lead and participate in high-level international scientific initiatives.

Professional Experience

Dr. Park is currently an Assistant Professor in the Department of Energy Conversion and Storage at the Technical University of Denmark, where he leads pioneering research on functional oxides and advanced energy devices. He has held scientific positions at EPFL in Switzerland, contributing to groups focused on ferroelectrics, electroceramic thin films, and nanoelectronic devices. His career also includes postdoctoral research in Germany at institutes associated with the Max Planck Society and Fraunhofer, as well as a research associate role at the University of Warwick. He has served as principal investigator and co-investigator on several major projects, collaborating with world-class institutions across Europe, Asia, and North America. Alongside his research, he has co-supervised multiple Ph.D. and master’s students, contributing to capacity building in his field. Dr. Park has also played active roles in organizing international conferences, participating in review panels, and fostering academic-industry collaborations to translate research into practical technologies.

Research Interest

Dr. Park’s research interests lie in the intersection of solid-state physics, materials science, nanotechnology, and energy conversion. He focuses on functional oxide materials, including defective metal oxides, ferroics, nanocomposites, and phase transition oxides, exploring their unique electromechanical, pyroelectric, ferroelectric, and magnetic properties. A key aspect of his work involves defect engineering and strain manipulation to induce or enhance functionalities such as piezoelectricity, pyroelectricity, and resistive switching in centrosymmetric materials. His research also targets device applications such as MEMS actuators, sensors, oxide-based transistors, and neuromorphic systems. He is particularly interested in freestanding oxide membranes and low-dimensional heterointerfaces for next-generation energy-efficient devices. By integrating fundamental physics with applied engineering, Dr. Park aims to bridge the gap between material discovery and real-world applications, contributing to sustainable energy technologies and advanced electronic systems. His work combines experimental synthesis, advanced characterization, and collaborative innovation with leading global research partners.

Award and Honor

Dr. Park’s work has earned recognition through prestigious research grants, competitive project leadership, and invitations to speak at major international conferences. As the recipient of the Villum Young Investigator Program funding, he has advanced pioneering studies in defect-induced symmetry breaking for high-efficiency energy conversion. His role as principal investigator in EU Horizon 2020 and SNSF-Swiss projects reflects the trust placed in his research vision and leadership. Several of his publications have been highlighted as editor’s picks, emerging leader features, or invited papers in top journals. His contributions have led to collaborations with elite institutions worldwide and participation in influential scientific committees and symposiums. He has delivered invited talks across Europe, Asia, and North America, further cementing his reputation as a thought leader in his field. These honors underscore his impact on both the scientific community and the advancement of technologies with real-world applications.

Research Skill

Dr. Park possesses a diverse set of research skills covering materials synthesis, thin-film deposition, defect engineering, and advanced characterization techniques such as synchrotron-based methods, electron microscopy, and spectroscopy. He is proficient in fabricating and testing devices including MEMS, sensors, and oxide-based transistors, translating material properties into functional prototypes. His expertise extends to the study of electromechanical coupling, ferroelectricity, pyroelectricity, ionic transport, and magnetoelectric effects. Dr. Park is skilled in collaborative research, managing multidisciplinary teams across international institutions, and securing competitive funding for ambitious scientific goals. He has substantial experience in mentoring students, coordinating multi-partner projects, and organizing high-level scientific events. His work bridges fundamental science and application-oriented engineering, ensuring a strong link between laboratory research and technological deployment. These skills, combined with his leadership capabilities and deep domain expertise, position him as a key contributor to advancing next-generation materials and devices for sustainable energy and electronics.

Publications Top Notes

Title: Quantifying the orientation dependence of diffraction contrast on magnetic STEM-DPC imaging of freestanding oxide thin films
Authors: Sivert Dagenborg; Andrea D’Alessio; Eric Brand; Nikolas Vitaliti; Alessandro Palliotto; Ingrid Hallsteinsen; Felix Trier; Dae-Sung Park; Nini Pryds; Magnus Nord
Year: 2025

Title: Defect-induced magnetic symmetry breaking in oxide materials
Authors: Eric Brand; Victor Rosendal; Yichen Wu; Thomas Tran; Alessandro Palliotto; Igor V. Maznichenko; Sergey Ostanin; Vincenzo Esposito; Arthur Ernst; Shengqiang Zhou et al.
Year: 2025

Title: On the effect of precession for magnetic differential phase contrast imaging
Authors: Gregory Nordahl; Sivert Dagenborg; Andrea D’Alessio; Eric Brand; Nikolas Vitaliti; Felix Trier; Daesung Park; Nini Pryds; Jørgen Sørhaug; Magnus Nord
Year: 2024

Title: The fabrication of freestanding complex oxide membranes: Can we avoid using water?
Authors: Dae-Sung Park; Nini Pryds
Year: 2024

Title: Tailoring dielectric permittivity of epitaxial Gd-doped CeO₂−x films by ionic defects
Authors: A Palliotto; Y Wu; A D Rata; A Herklotz; S Zhou; K Dörr; P Muralt; D-S Park
Year: 2024

Title: Twisted oxide membranes: A perspective
Authors: N. Pryds; D.-S. Park; T. S. Jespersen; S. Yun
Year: 2024

Title: Controlled Electronic and Magnetic Landscape in Self‐Assembled Complex Oxide Heterostructures
Authors: Dae‐Sung Park; Aurora Diana Rata; Rasmus Tindal Dahm; Kanghyun Chu; Yulin Gan; Igor Maznichenko; Sergey Ostanin; Felix Trier; Hionsuck Baik; Woo Seok Choi et al.
Year: 2023

Title: Engineering of Electromechanical Oxides by Symmetry Breaking
Authors: Haiwu Zhang; Milica Vasiljevic; Achilles Bergne; Dae‐Sung Park; Andrea R. Insinga; Shinhee Yun; Vincenzo Esposito; Nini Pryds
Year: 2023

Conclusion

Dr. Park is highly deserving of the Best Researcher Award for his outstanding contributions to advancing functional oxide materials, nanotechnology, and energy conversion systems, which have significantly impacted both scientific understanding and potential technological applications. His extensive publication record, successful leadership of internationally funded projects, and active mentorship demonstrate a commitment to excellence in research and capacity building. With his strong track record of innovation, global collaborations, and dedication to addressing complex challenges, he is well-positioned to continue driving groundbreaking discoveries and shaping the future of his field through impactful research and leadership.

Alexandru Dandocsi | Remote Sensing | Best Researcher Award

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Dr. Alexandru Dandocsi | Remote Sensing | Best Researcher Award 

Recognised Research at National Institute of Research and Development for Optoelectronics – INOE2000, Romania

Dr. Alexandru Marius Dandocsi is a leading researcher in atmospheric science with expertise in passive remote sensing, Earth observation, and environmental data analysis. He has worked across top institutions including the National Institute of Research and Development for Optoelectronics, the European Space Agency, and the European Commission. His work spans scientific algorithm development, satellite validation, and the integration of remote sensing data into environmental policy frameworks. He has contributed to key European initiatives such as Horizon Europe and the European Green Deal, and is a core member of ACTRIS and other global research infrastructures. Dr. Dandocsi has participated in numerous international field campaigns, workshops, and scientific conferences, showcasing both his technical skills and leadership capabilities. With an impressive list of peer-reviewed publications and collaborative projects, he stands out as a multidisciplinary scientist whose work bridges science, technology, and policy. His career reflects a strong commitment to research excellence and global environmental advancement.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Dr. Alexandru Dandocsi completed his higher education in Romania, earning his PhD in Physics from the University Politehnica of Bucharest. His doctoral research focused on passive remote sensing methods for the retrieval of atmospheric gas concentrations, using instruments such as FTIR and MAX-DOAS. His thesis, written in Romanian, explored advanced methodologies to measure gas density in the atmosphere using optical remote sensing techniques. He graduated with the highest distinction, summa cum laude, which reflects his academic excellence and deep engagement with his field. His education laid a strong foundation in both theoretical and applied aspects of atmospheric physics and satellite remote sensing. Throughout his academic journey, he developed expertise in data analysis, radiative transfer modeling, and algorithm development. His educational background has been integral to his contributions to international research projects and policy-supporting scientific assessments. Dr. Dandocsi’s academic training continues to drive his innovative work in environmental monitoring and climate science.

Professional Experience

Dr. Dandocsi’s professional experience spans over a decade in high-impact roles within leading scientific institutions in Romania and across Europe. He began his career at the National Institute of Research and Development for Optoelectronics as a junior scientist, where he developed strong technical skills in operating and analyzing data from passive remote sensing instruments. He later served as a Research Fellow at the European Space Agency, where he contributed to satellite mission support, algorithm development, and coordination of scientific activities under ESA’s atmospheric research initiatives. His appointment as a Seconded National Expert at the European Commission further solidified his influence, allowing him to shape environmental policy and research agendas in alignment with EU space and sustainability objectives. Currently, he is a Recognised Researcher continuing his scientific contributions at the national and international level. Dr. Dandocsi’s career reflects a continuous upward trajectory marked by collaboration, innovation, and service to scientific advancement and environmental governance.

Research Interest

Dr. Alexandru Dandocsi’s research interests lie at the intersection of atmospheric science, environmental monitoring, and remote sensing technology. He is particularly focused on the development and validation of retrieval algorithms for passive remote sensing instruments, such as FTIR, MAX-DOAS, and solar/lunar photometers. He actively works on the integration of satellite-based data with ground-based observations to improve the accuracy of atmospheric gas measurements and aerosol characterization. His interests extend to studying the impact of human activities on air quality and climate, including assessments of greenhouse gas emissions and aerosol dynamics. He is also involved in developing tools for the calibration and validation of satellite missions such as Sentinel-5P and Aeolus, contributing to global networks like ACTRIS and EuroGEO. His interdisciplinary work bridges environmental science, physics, and data analysis, offering valuable insights for climate policy and scientific research. His work supports initiatives such as the European Green Deal and Horizon Europe.

Award and Honor

Dr. Alexandru Dandocsi has earned recognition within the scientific community for his contributions to Earth observation and atmospheric research. These competitive and prestigious positions are granted only to highly skilled scientists with proven research excellence and cross-disciplinary collaboration experience. His role in helping shape EU research and innovation policies related to the environment further highlights the trust placed in his scientific expertise. Additionally, his invitation to present at numerous international conferences and his involvement in ESA and Horizon Europe projects underline the respect he commands in the scientific field. His publications in high-impact journals and collaborations with international networks also speak to the recognition and value of his ongoing research contributions.

Research Skill

Dr. Dandocsi possesses a broad and advanced range of research skills developed through years of experience in satellite remote sensing and atmospheric science. He is proficient in programming languages such as Python and MATLAB, which he uses extensively for data analysis, algorithm development, and modeling. His technical expertise includes operating complex ground-based instruments such as FTIR, MAX-DOAS, and sun photometers, as well as analyzing data from satellite missions like TROPOMI and Aeolus. He has experience with designing and implementing scientific field campaigns, including technical preparations and instrument deployment. Dr. Dandocsi is also skilled in the development of calibration and validation procedures for remote sensing products, quality assurance assessment of scientific data, and interpretation of multi-source environmental observations. His ability to work with large datasets, combined with his understanding of atmospheric physics, makes him highly effective in applied research. He also demonstrates strong communication, problem-solving, and teamwork skills in cross-border collaborative projects.

Publications Top Notes

Title: Quantifying CH₄ emissions from hard coal mines using mobile sun-viewing Fourier transform spectrometry
Authors: A. Luther, R. Kleinschek, L. Scheidweiler, S. Defratyka, M. Stanisavljevic, …
Year: 2019
Citations: 70

Title: Multiyear typology of long-range transported aerosols over Europe
Authors: V. Nicolae, C. Talianu, S. Andrei, B. Antonescu, D. Ene, D. Nicolae, …
Year: 2019
Citations: 28

Title: Observational constraints on methane emissions from Polish coal mines using a ground-based remote sensing network
Authors: A. Luther, J. Kostinek, R. Kleinschek, S. Defratyka, M. Stanisavljević, …
Year: 2022
Citations: 27

Title: Online Chemical Characterization and Source Identification of Summer and Winter Aerosols in Măgurele, Romania
Authors: L. Mărmureanu, J. Vasilescu, J. Slowik, A.S.H. Prévôt, C.A. Marin, B. Antonescu, …
Year: 2020
Citations: 20

Title: Wintertime variations of gaseous atmospheric constituents in Bucharest peri-Urban area
Authors: C.A. Marin, L. Mărmureanu, C. Radu, A. Dandocsi, C. Stan, F. Ţoancă, …
Year: 2019
Citations: 15

Title: High potential for CH₄ emission mitigation from oil infrastructure in one of EU’s major production regions
Authors: F. Stavropoulou, K. Vinković, B. Kers, M. de Vries, S. van Heuven, P. Korbeń, …
Year: 2023
Citations: 14

Title: Extended aerosol and surface characterization from S5P/TROPOMI with GRASP algorithm. Part I: Conditions, approaches, performance and new possibilities
Authors: P. Litvinov, C. Chen, O. Dubovik, L. Bindreiter, C. Matar, D. Fuertes, A. Lopatin, …
Year: 2024
Citations: 8

Title: The impact of using assimilated Aeolus wind data on regional WRF-Chem dust simulations
Authors: P. Kiriakidis, A. Gkikas, G. Papangelis, T. Christoudias, J. Kushta, …
Year: 2023
Citations: 8

Title: Independent retrieval of aerosol type from lidar
Authors: D. Nicolae, J. Vasilescu, C. Talianu, A. Dandocsi
Year: 2016
Citations: 7

Title: Extended aerosol and surface characterization from S5P/TROPOMI with GRASP algorithm. Part II: Global validation and Intercomparison
Authors: C. Chen, P. Litvinov, O. Dubovik, L. Bindreiter, C. Matar, D. Fuertes, A. Lopatin, …
Year: 2024
Citations: 6

Conclusion

Dr. Alexandru Marius Dandocsi is a highly deserving candidate for the Best Researcher Award due to his outstanding contributions to atmospheric science and Earth observation. His work on passive remote sensing, satellite validation, and environmental monitoring has significantly advanced scientific understanding and supported critical environmental policies at the European level. Through active participation in international research initiatives and impactful publications, he has demonstrated both academic excellence and societal relevance. With his proven expertise, collaborative mindset, and growing leadership experience, Dr. Dandocsi holds strong potential to drive future innovations and play a key role in shaping global environmental research and policy.

Ane’ Orchard | Healthcare Applications | Best Researcher Award

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Dr. Ane’ Orchard | Healthcare Applications | Best Researcher Award

Senior Lecturer at University of the Witwatersrand, South Africa

Dr. Ané Orchard is a dedicated pharmacist, academic, and senior lecturer at the University of the Witwatersrand with extensive experience in clinical pharmacy, pharmaceutical microbiology, and health sciences education. Her work bridges the gap between academic research and real-world public health outcomes, with a strong focus on probiotics, antimicrobial resistance, microbiome-linked diseases, and pharmacy education. She has led and contributed to numerous national and international research projects, demonstrating a strong commitment to advancing healthcare and education. Her ability to mentor students, lead collaborative research efforts, and publish in reputed journals highlights her as a well-rounded scholar. Recognized for her academic citizenship and public contributions, Dr. Orchard is committed to impactful and socially relevant research. Her ongoing projects and future plans reflect her dedication to driving change through scientific inquiry, collaboration, and innovation, making her a respected figure in the academic and healthcare research community.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Dr. Ané Orchard pursued her higher education in pharmacy at the University of the Witwatersrand, where she completed both her undergraduate and doctoral studies. She has received rigorous training in pharmaceutical sciences, clinical pharmacy, microbiology, and health education, equipping her with a comprehensive foundation in both theoretical and applied aspects of pharmacy. Her academic journey reflects a strong commitment to lifelong learning, with a particular focus on integrating science and healthcare for community benefit. In addition to formal degrees, she has undertaken continuous professional development to stay current with advances in pharmaceutical practice and healthcare education. Her doctoral research laid the groundwork for her current interdisciplinary studies that span clinical practice, microbiology, and public health. Through her education, she has developed the critical thinking and research skills necessary to address pressing challenges in healthcare and pharmacy education, laying a solid platform for her contributions to academia and research.

Professional Experience

Dr. Ané Orchard has built a dynamic professional career centered around academic teaching, research, and public health impact. As a senior lecturer at the University of the Witwatersrand, she has been instrumental in developing and delivering curriculum in clinical pharmacy, pharmaceutical microbiology, and health sciences education. Her responsibilities extend beyond classroom teaching to include student mentorship, supervision of postgraduate research, and academic leadership in collaborative projects. She has led multiple research initiatives aimed at improving patient outcomes and advancing pharmacy practice. Her involvement in international collaborations, such as the Una Europa – Africa Partnership, showcases her ability to work across borders and disciplines. In addition to her academic role, she contributes to institutional development by participating in quality assurance, curriculum review, and community outreach. Her professional journey reflects a strong alignment between research excellence, educational impact, and a broader vision of healthcare improvement through evidence-based practices.

Research Interest

Dr. Ané Orchard’s research interests span a broad and interdisciplinary range that includes clinical pharmacy, pharmaceutical microbiology, public health, and health sciences education. She is particularly focused on the role of probiotics, antimicrobial resistance, and microbiome-related diseases, contributing to a deeper understanding of how these elements affect patient health and therapeutic strategies. Her research also explores innovations in pharmacy education, aiming to enhance the training of future healthcare professionals through evidence-based teaching methods. Additionally, she is engaged in public health-focused studies that address community health challenges in resource-constrained environments. Her commitment to applied, socially relevant research has driven her involvement in international collaborations aimed at addressing global health concerns. Dr. Orchard continues to investigate how natural products and medicinal chemistry can be integrated into therapeutic solutions. Her interdisciplinary approach ensures that her research contributes to both scientific advancement and practical improvements in healthcare delivery and education.

Award and Honor

Dr. Ané Orchard has received several honors and awards in recognition of her academic excellence, research contributions, and public service. She was selected as one of the Mail and Guardian’s 200 Young South Africans, a prestigious recognition celebrating individuals making a significant impact in their respective fields. She has also been honored with her university’s Academic Citizenship Award, acknowledging her dedication to institutional service, student mentorship, and research excellence. Her work has received accolades at both national and international conferences, where she has earned awards for best presentations and scientific posters. These achievements reflect her ability to communicate research findings effectively and contribute meaningfully to academic discourse. Her consistent recognition is a testament to her leadership in the field of pharmacy and health sciences. Through these awards, Dr. Orchard’s influence in education, research, and public engagement is validated, and she continues to inspire peers and students alike with her dedication and professionalism.

Research Skill

Dr. Ané Orchard possesses a comprehensive set of research skills that span both qualitative and quantitative methodologies, making her well-equipped for interdisciplinary scientific inquiry. She is proficient in designing and managing clinical and laboratory-based research studies, particularly in the areas of pharmaceutical microbiology, probiotics, and public health. Her skills include advanced data analysis, statistical evaluation, systematic reviews, and scientific writing for publication in peer-reviewed journals. She is adept at research ethics compliance, proposal writing, and grant applications, reflecting her capability to lead and sustain funded research projects. Her involvement in collaborative international studies has enhanced her ability to coordinate multi-site research and contribute to cross-disciplinary innovation. Dr. Orchard is also skilled in mentoring students and junior researchers, supporting their development in academic writing, critical thinking, and experimental design. Her research competencies are continually updated through professional development, ensuring relevance and rigor in her approach to addressing health-related scientific challenges.

Publications Top Notes

Title: Commercial essential oils as potential antimicrobials to treat skin diseases
Authors: A Orchard, S van Vuuren
Year: 2017
Citations: 323

Title: The in vitro Antimicrobial Activity and Chemometric Modelling of 59 Commercial Essential Oils against Pathogens of Dermatological Relevance
Authors: A Orchard, M Sandasi, G Kamatou, A Viljoen, S van Vuuren
Year: 2017
Citations: 89

Title: The influence of carrier oils on the antimicrobial activity and cytotoxicity of essential oils
Authors: A Orchard, G Kamatou, AM Viljoen, N Patel, P Mawela, SF Vuuren
Year: 2019
Citations: 79

Title: The in vitro antimicrobial evaluation of commercial essential oils and their combinations against acne
Authors: A Orchard, SF Van Vuuren, AM Viljoen, G Kamatou
Year: 2018
Citations: 55

Title: A scoping review of African natural products against gastric ulcers and Helicobacter pylori
Authors: S Dinat, A Orchard, S Van Vuuren
Year: 2023
Citations: 38

Title: Wound pathogens: Investigating antimicrobial activity of commercial essential oil combinations against reference strains
Authors: A Orchard, A Viljoen, S van Vuuren
Year: 2018
Citations: 29

Title: Carrier oils in dermatology
Authors: A Orchard, SF van Vuuren
Year: 2019
Citations: 27

Title: Commercial essential oil combinations against topical fungal pathogens
Authors: A Orchard, SF van Vuuren, AM Viljoen
Year: 2019
Citations: 23

Title: Antimicrobial essential oil combinations to combat foot odour
Authors: A Orchard, A Viljoen, S van Vuuren
Year: 2018
Citations: 18

Title: High prevalence but lack of awareness of hypertension in South Africa, particularly among men and young adults
Authors: AJ Woodiwiss, A Orchard, CMC Mels, AS Uys, BN Nkeh-Chungag, …
Year: 2025
Citations: 13

Conclusion

Dr. Ané Orchard is a deserving candidate for the Best Researcher Award due to her impactful contributions to clinical pharmacy, pharmaceutical microbiology, and health sciences education. Her research has significantly advanced understanding in areas such as probiotics, antimicrobial resistance, and public health, while also contributing to the academic development of future healthcare professionals. Through her leadership in research projects and recognition for academic citizenship, she has demonstrated a strong commitment to both scientific excellence and societal impact. With her ongoing projects and potential for expanded interdisciplinary and international collaboration, she is well positioned for continued leadership and innovation in her field.

Xueyan Dong | Augmented Reality | Best Researcher Award

Published on by Computer Vision Awards

Assist. Prof. Dr. Xueyan Dong | Augmented Reality | Best Researcher Award

Associate professor at Northwestern Polytechnical University, China

Assist. Prof. Xueyan Dong is a distinguished academic and researcher at the School of Management, Northwestern Polytechnical University. Her expertise lies in information technology management and strategic management, with a strong emphasis on IT usage behavior across multiple levels, including individual, team, and societal contexts. She has contributed significantly to understanding the digital transformation of enterprises and the impact of social media and social commerce. With extensive experience leading national and provincial research projects, she has published in high-impact journals and participated in major international conferences. Her work has been recognized through various awards for outstanding research contributions. In addition to her scholarly output, she actively engages in academic service, including peer review and evaluation roles. Her dedication to research excellence, leadership in academic projects, and contributions to both theory and practice position her as a key figure in her field with strong potential for continued impact and academic leadership.

Professional Profile 

Scopus Profile 

Education

Xueyan Dong completed her doctoral studies in Management at Harbin Institute of Technology, where she developed a strong foundation in strategic management and information systems. Her academic journey was further enriched through a joint doctoral research program at the University of British Columbia, supported by the China Scholarship Council. During her studies, she focused on the micro-level theoretical development of IT usage behavior, setting the groundwork for her future academic research. Her educational experience combined rigorous training in both quantitative and qualitative research methodologies, equipping her with the analytical skills necessary for high-level academic work. Her exposure to diverse academic environments and cross-cultural research perspectives helped her develop a broader understanding of global management practices and digital transformation challenges. Her formal education has been instrumental in shaping her ability to lead multidisciplinary research, contribute to curriculum development, and mentor graduate students in the evolving fields of digital technology and strategic enterprise management.

Professional Experience

Assist. Prof. Xueyan Dong currently serves as an associate professor and doctoral supervisor in the Department of Marketing at the School of Management, Northwestern Polytechnical University. Over the course of her academic career, she has successfully led and participated in multiple research projects funded by national foundations, ministries, and provincial governments. Her responsibilities include conducting advanced research in IT and strategic management, mentoring postgraduate students, and designing graduate-level courses. She has taken on critical roles in university-level education reform initiatives and industry-academic collaboration projects, bridging theoretical research with practical application. In addition to her teaching and research duties, she contributes to administrative and academic development tasks, including curriculum enhancement and academic evaluation processes. Her professional experience also extends to editorial and peer review work for leading academic journals and conferences, demonstrating her influence and recognition within the academic community. Her multidisciplinary involvement highlights her capacity for leadership and academic service excellence.

Research Interest

Xueyan Dong’s research interests center around information technology management, strategic management, and the behavioral aspects of digital technology usage. She is particularly focused on understanding how individuals, teams, and organizations adopt and utilize IT tools, platforms, and systems in a constantly evolving digital environment. Her work explores key themes such as social media usage, social commerce dynamics, and the broader implications of digital transformation on business operations and strategy. She is also interested in the interaction between technological innovation and organizational behavior, especially in the context of strategic decision-making and performance outcomes. Her research bridges micro-level behavior with macro-level strategic implications, creating a comprehensive framework for understanding digital enterprise transformation. Through empirical studies and theoretical modeling, she aims to provide insights that are both academically rigorous and practically relevant. Her interdisciplinary approach allows her to collaborate with scholars across domains and contribute to the growing body of knowledge in management and information systems.

Award and Honor

Assist. Prof. Xueyan Dong has received numerous awards and honors in recognition of her academic excellence and research contributions. Her achievements include a highly cited paper and multiple awards for outstanding research in social sciences at both the provincial and university levels. She has also received best paper awards at international conferences, reflecting the high quality and impact of her scholarly work. In addition to these accolades, she has been selected as a peer review expert for national research funding agencies and serves as an evaluator for the selection of top management case studies in China. These roles not only highlight her academic credibility but also her contribution to the development of research standards and quality in the broader scholarly community. Her ability to consistently produce impactful research and her involvement in academic evaluation and peer review make her a respected figure in her field. These honors reinforce her position as a leading researcher in management studies.

Research Skill

Xueyan Dong possesses a broad range of research skills that support her work in information technology and strategic management. She is proficient in both quantitative and qualitative research methodologies, including statistical analysis, structural equation modeling, survey design, and case study methods. Her ability to conduct cross-level behavioral research allows her to examine IT usage from individual to organizational scales. She is skilled in applying theoretical frameworks to real-world business problems and translating research findings into strategic recommendations. Her experience in managing large-scale national and provincial projects has equipped her with project design, data collection, and interdisciplinary collaboration skills. She also demonstrates strong academic writing and publication abilities, with success in placing research in top-tier international journals. In addition, her experience in peer reviewing and evaluating research proposals further reflects her expertise in assessing academic quality. Her well-rounded skill set enables her to lead complex research initiatives and contribute meaningfully to the academic community.

Publications Top Notes

Title: Risky roads: Unraveling used electronic vehicle resistance from the Perspective of social amplification of risk theory

Authors: (Author names not specified in your input — please provide them for completeness)

Year: 2025

Journal: Transportation Research Part F: Traffic Psychology and Behaviour

Conclusion

Assist. Prof. Xueyan Dong is highly deserving of the Best Researcher Award due to her significant contributions to the fields of information technology management and strategic management, particularly in the areas of digital transformation and IT usage behavior. Her strong research output, leadership in national and provincial projects, and recognition through high-impact publications and academic awards demonstrate a consistent commitment to advancing knowledge and societal progress. With her growing influence in academic circles, active involvement in peer review and case evaluation, and a clear vision for impactful research, she shows strong potential for future leadership and continued contributions to both academia and the broader community.