Assist Prof Dr. Xincheng Wang | Industrial | Best Researcher Award

Publications

External Shocks, R&D Investment, and Firms’ First-Time Digital Innovation

  • Author: Xincheng Wang, Mijia Gong, Tianyu Gong
    Journal: IEEE Transactions on Engineering Management
    Year: 2024

Digital-enabled supply chain innovation and CO2 emissions: The contingent role of first-tier supplier’s structural holes

  • Author: Xincheng Wang, Tianyu Gong
    Journal: Technological Forecasting and Social Change
    Year: 2024

Breaking out of the pandemic: How can firms match internal competence with external resources to shape operational resilience?

  • Author: Yuan Li, Xincheng Wang, Tianyu Gong, Haifeng Wang
    Journal: Journal of Operations Management
    Year: 2023

Government digital initiatives and firm digital innovation: Evidence from China

  • Author: Xincheng Wang, Yuan Li, Longwei Tian, Ye Hou
    Journal: Technovation
    Year: 2023

Environmental dynamism and cooperative innovation: the moderating role of state ownership and institutional development

  • Author: Xincheng Wang, Jide Sun, Longwei Tian, Wenjia Guo, Tianyu Gu
    Journal: The Journal of Technology Transfer
    Year: 2021

Ms. Jixue Zhang | Surveillance and Security | Best Researcher Award

Ms. Jixue Zhang | Surveillance and Security | Best Researcher Award

Jixue Zhang at Shenyang University of Chemical Technology, China

Profiles

Orcid

📌 Summary

Ms. Jixue Zhang is a dedicated graduate student at Shenyang University of Chemical Technology, specializing in network security. She has contributed significantly to intrusion detection and vehicle networking attack detection, with notable research publications and intellectual property achievements.

🎓 Education

  • B.Sc., Shandong Jiaotong University
  • M.Sc. (Ongoing), Shenyang University of Chemical Technology

💼 Professional Experience

  • Published SCI paper in The Computer Journal
  • Two granted patents & one software copyright
  • Active participant in security technology projects

🔍 Research Interests

  • Network Security
  • Intrusion Detection
  • Abnormal Traffic Detection
  • Security Protocol Optimization

 

Publication

Internet of Vehicles Intrusion Detection Method Based on CFS-COA Feature Selection and Spatio-Temporal Feature Extraction

  • Authors: Zhongjun Yang, Jixue Zhang, Beimin Su, Jorge Blasco Alís
    Journal: The Computer Journal
    Year: 2024

Prof. Nema Salem | Image Processing | Best Researcher Award

Prof. Nema Salem | Image Processing | Best Researcher Award

Professor at Effat University, Saudi Arabia

👨‍🎓 Profiles

Scopus

Orcid

Google Scholar

🎓 Early Academic Pursuits

Prof. Nema Salem’s academic journey began with a strong foundation in engineering and medical imaging. She earned her B.Sc. with honors in 1987 and later obtained her M.Sc. in 1990 from Alexandria University (AU), Egypt, specializing in mitral valve diagnosis. She further pursued her Ph.D. in “Classification of Breast Tumors by Acutance Measure and Shape Factors” through a joint program between the University of Calgary, Canada, and AU in 1996. Her early research laid the groundwork for advancements in medical diagnostics, particularly in breast cancer detection, setting the stage for a distinguished academic and research career.

🏆 Professional Endeavors

Prof. Salem’s professional trajectory spans multiple prestigious institutions. Since 1987, she has held progressive academic roles at AU, the Asian Institute of Technology (AIT), Hadramout University in Yemen, and Effat University in Saudi Arabia, where she has been an Assistant Professor since 2008. She has also served as the Chair of the Electrical and Computer Engineering Department at Effat University, contributing to curriculum development and accreditation processes such as NCAAA and ABET. Her leadership extends beyond academia, as she has organized international competitions like the IET GCC Robotics Challenge and the World Robot Olympiad, promoting innovation among young engineers.

🔬 Contributions and Research Focus

Prof. Salem’s research portfolio is marked by interdisciplinary contributions in medical imaging, artificial intelligence, control systems, and renewable energy. She has pioneered AI-driven applications, including ECG analysis, skin lesion segmentation, and glaucoma detection, enhancing the accuracy of medical diagnostics. Additionally, she has played a crucial role in renewable energy advancements, optimizing solar power generation and thermoelectric systems. Her expertise in robotics and control engineering is evident in her work on PID and LQR controllers for performance enhancement in automation and energy-efficient designs.

🌍 Impact and Influence

Prof. Salem’s influence extends beyond her research, as she actively mentors students, supervises master’s and Ph.D. theses, and collaborates with international researchers. Her dedication to fostering innovation has resulted in students winning prestigious awards, including a bronze medal at the 49th International Exhibition in Geneva. She has also contributed significantly to the academic community through her editorial roles and peer-reviewing for high-impact journals. Her recognition includes the Queen Effat Award for Teaching Excellence (2019-2020, 2022-2023) and a UK Fellowship for teaching excellence, affirming her commitment to quality education and research.

📚 Academic Citations and Publications

Prof. Salem’s research is well-documented in reputable journals and conferences. She has published extensively in IEEE Transactions on Medical Imaging, PLOS ONE, Sensors, and IEEE Access, with a strong presence in high-impact publications. Her work is widely cited, reflecting its significance in medical imaging, artificial intelligence, and renewable energy. Her research contributions are accessible via Google Scholar and the AD Scientific Index 2024, demonstrating her academic reach and influence.

💡 Technical Skills and Expertise

Prof. Salem possesses a diverse technical skill set, encompassing AI-driven signal and image processing, robotics, logic design, and renewable energy optimization. She has expertise in developing machine learning models for medical diagnostics, implementing control strategies for automation, and designing CMOS-based circuits. Her ability to integrate interdisciplinary approaches has made her a sought-after researcher in multiple domains, from biomedical engineering to energy-efficient systems.

📖 Teaching and Mentorship

With over three decades of teaching experience, Prof. Salem has played a pivotal role in shaping the next generation of engineers. She has designed and delivered courses in signal processing, artificial intelligence, control systems, and electronics. Her student-centered approach has been recognized through multiple teaching awards. She actively engages in student mentorship, encouraging innovative research projects and guiding them to success in international competitions and academic publishing.

🔮 Legacy and Future Contributions

Prof. Salem’s legacy is defined by her relentless pursuit of innovation and knowledge dissemination. Her research continues to push the boundaries of technology, particularly in AI-driven healthcare and renewable energy systems. She remains committed to mentoring students, expanding research collaborations, and advancing engineering education. Through her leadership, she aims to drive impactful change in medical diagnostics, sustainable energy, and robotics, ensuring a lasting influence in academia and industry.

 

Publications

Artificially Intelligent Detection of Retinal Pigment Sign Using P3S-Net for Retinitis Pigmentosa Analysis

  • Authors: Syed Muhammad Ali Imran, Abida Hussain, Nema Salem, Muhammad Arsalan
    Journal: Results in Engineering
    Year: 2025

Causal Speech Enhancement Using Dynamical-Weighted Loss and Attention Encoder-Decoder Recurrent Neural Network

  • Authors: Fahad Khalil Peracha, Abdullah M. Mutawa, Muhammad Irfan Khattak, Nema Salem, Nasir Saleem
    Journal: PLOS ONE
    Year: 2023

Artificial Intelligence-Based Detection of Human Embryo Components for Assisted Reproduction by In Vitro Fertilization

  • Authors: Abeer Mushtaq, Maria Mumtaz, Ali Raza, Nema Salem, Muhammad Naveed Yasir
    Journal: Sensors
    Year: 2022

Automated Diagnosis of Leukemia: A Comprehensive Review

  • Authors: Afshan Shah, Syed Saud Naqvi, Khuram Naveed, Nema Salem, Mohammad A. U. Khan, Khurram S. Alimgeer
    Journal: IEEE Access
    Year: 2021

DAVS-NET: Dense Aggregation Vessel Segmentation Network for Retinal Vasculature Detection in Fundus Images

  • Authors: Mohsin Raza, Khuram Naveed, Awais Akram, Nema Salem, Amir Afaq, Hussain Ahmad Madni, Mohammad A. U. Khan, Mui-zzud-din
    Journal: PLOS ONE
    Year: 2021

Dr. Zhiyou Long | Traffic and Transportation Analysis | Best Researcher Award

Publications

Deep learning–based data anomaly detection for highway slope structural health monitoring: A comparative study

  • Authors: Shi Dong, Zhiyou Long, Shiyuan Zhang, Jianwei Wang, Chen Zuo, Chao Yang, Jinyi Jiang, Zhiwei Cui, Zhaolong Wan
    Journal: Transportation Geotechnics
    Year: 2025

Bibliometric Insights into the Implications of Urban Built Environment on Travel Behavior

  • Authors: Chao Gao, Xinyi Lai, Shasha Li, Zhiwei Cui, Zhiyou Long
    Journal: ISPRS International Journal of Geo-Information
    Year: 2023

An Integrated Method for Tunnel Health Monitoring Data Analysis and Early Warning: Savitzky–Golay Smoothing and Wavelet Transform Denoising Processing

  • Authors: Ning Zhao, Jincheng Wei, Zhiyou Long, Chao Yang, Jiefu Bi, Zhaolong Wan, Shi Dong
    Journal: Sensors
    Year: 2023

How does COVID-19 pandemic impact cities’ logistics performance? An evidence from China’s highway freight transport

  • Authors: Zhiwei Cui, Xin Fu, Jianwei Wang, Yongjie Qiang, Ying Jiang, Zhiyou Long
    Journal: Transport Policy
    Year: 2022

Analyzing Spatiotemporal Daily Travel Source Carbon Emissions Based on Taxi Trajectory Data

  • Authors: Maopeng Sun, Chenlei Xue, Yanqiu Cheng, Ling Zhao, Zhiyou Long
    Journal: IEEE Access
    Year: 2021

Dr. Richard Arias-Hernandez | Education | Academic Advancement Award

Dr. Richard Arias-Hernandez | Education | Academic Advancement Award

Doctorate at The University of British Columbia, Canada

👨‍🎓 Profiles

google Scholar

Publications

Designing visual analytic tools for emergency operation centers: a qualitative approach

  • Author: Richard Arias-Hernandez, Brian Fisher
  • Journal: International Journal of Information Systems for Crisis Response and Management (IJISCRAM)
  • Year: 2014

Individual differences and translational science in the design of human-centered visualizations

  • Author: Tera Marie Green, Richard Arias-Hernandez, Brian Fisher
  • Journal: Handbook of Human Centric Visualization
  • Year: 2014

Exceptional Engineering: Challenges and Opportunities for Socially Just Engineering in Non-governmental Organizations in Colombia

  • Author: Richard Arias-Hernandez
  • Journal: Engineering Education for Social Justice: Critical Explorations and Opportunities
  • Year: 2013

From cognitive amplifiers to cognitive prostheses: Understandings of the material basis of cognition in visual analytics

  • Author: Richard Arias-Hernandez, Tera M Green, Brian Fisher
  • Journal: Interdisciplinary science reviews
  • Year: 2012

The borders of engineers without borders: A self-assessment of Ingenieros Sin Fronteras Colombia

  • Author: Andrés Felipe Valderrama Pineda, Richard Arias-Hernández, María C Ramírez, Astrid Bejarano, Juan C Silva
  • Journal: International Journal of Engineering, Social Justice, and Peace
  • Year: 2012

Dr. Jianbang Liu | Augmented Reality | Best Faculty Award

Dr. Jianbang Liu | Augmented Reality | Best Faculty Award

Doctorate at Xinyu University, China

👨‍🎓 Profiles

Scopus

Orcid

Publications

Assessing the impact and development of immersive VR technology in education: Insights from telepresence, emotion, and cognition

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Ah-Lian Kor, Kok Weng Ng, Meng Chun Lam
    Journal: Technological Forecasting and Social Change
    Year: 2025

Personalized emotion analysis based on fuzzy multi-modal transformer model

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng, Ah-Lian Kor
    Journal: Applied Intelligence
    Year: 2025

The Emotional State Transition Model Empowered by Genetic Hybridization Technology on Human–Robot Interaction

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng, Ah-Lian Kor
    Journal: IEEE Access
    Year: 2024

Emotion assessment and application in human–computer interaction interface based on backpropagation neural network and artificial bee colony algorithm

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Ah-Lian Kor, Kok Weng Ng
    Journal: Expert Systems with Applications
    Year: 2023

Performance Evaluation of HMI based on AHP and GRT for GUI

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng
    Journal: 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
    Year: 2022

Ms. Joy Shen | Applications of Computer Vision | Best Researcher Award

Ms. Joy Shen | Applications of Computer Vision | Best Researcher Award

Joy Shen at University of Maryland at College Park, United States

Profiles

Scopus

Orcid

📚 Summary

Ms. Joy Shen is a Ph.D. candidate in Reliability Engineering at the University of Maryland, with expertise in probabilistic risk assessments (PRA) and reliability analysis, particularly for nuclear power systems. She currently works as a Reliability Engineer at NIST, where she develops Bayesian networks and conducts risk-based analyses to improve safety and operational efficiency in nuclear reactors.

Education

  • Ph.D. in Reliability Engineering (Expected May 2025), University of Maryland
  • MSc. in Reliability Engineering (May 2023), University of Maryland
  • B.Sc. in Mechanical Engineering with Nuclear Engineering Minor (Aug 2018), University of Maryland

👩‍🏫 Work Experience

  • Reliability Engineer | NIST, Gaithersburg, MD (Feb 2024 – Present)
    Developed Bayesian network models for safety-related systems in NIST’s research reactor. Analyzed degradation and assisted with relicensing efforts for long-term operations.
  • Mechanical Engineer | NIST, Gaithersburg, MD (Aug 2019 – Aug 2023)
    Performed CFD analysis and developed CAD models for the design of a new neutron source.

🔬 Research Experience

  • Graduate Research Assistant | University of Maryland, College Park, MD
    Conducted pioneering research in external flood PRAs using Monte Carlo augmented Bayesian networks. Investigated nuclear power plant risks and contributed to the U.S. NRC’s efforts to assess system vulnerabilities during external floods.
  • Associate Researcher | NIST, Gaithersburg, MD
    Conducted neutron energy spectrum measurements, proving the viability of Cf-250 as a calibration source for radiation instrumentation.

🛠 Skills and Certifications

  • CAD: Solidworks, Autodesk Inventor
  • Programming: MATLAB, Python, IGOR
  • Accident Analysis: MCNP, RELAP5, TRACE, SNAP
  • Probabilistic Tools: SAPHIRE, GeNIE, Minitab
  • Certifications: 10 CFR 50.59 Training, Procedure Professionals Association (PPA)

🔍 Research Interests

Ms. Joy’s research interests focus on probabilistic risk assessments (PRA), Bayesian networks, nuclear reactor safety, and external flood risk assessments. She is passionate about enhancing the reliability and safety of critical infrastructure through advanced analytical models.

 

Publications

A Monte Carlo augmented Bayesian network approach for external flood PRAs

  • Authors: Shen, J., Bensi, M., Modarres, M.
  • Year: 2025

A Hybrid, Bayesian Network-Based PRA Methodology for External Flood Probabilistic Risk Assessments at Nuclear Power Plants

  • Authors: Shen, J., Frantzis, C., Marandi, S., Bensi, M., Modarres, M.
  • Year: 2023

Synthesis of Insights Regarding Current PRA Technologies for Risk-Informed Decision Making

  • Authors: Shen, J., Marandi, S., Bensi, M., Modarres, M.
  • Year: 2023

Assist Prof Dr. Em-on Chaiprateep | Healthcare Applications | Best Researcher Award

Assist Prof Dr. Em-on Chaiprateep | Healthcare Applications | Best Researcher Award

Em-on Chaiprateep at Faculty of Integrative Medicine, Thailand

Profiles

Orcid

Google Scholar

📚 Summary

Dr. Em-on Chaiprateep is an Assistant Professor at the Faculty of Integrative Medicine, Rajamangala University of Technology Thanyaburi, Thailand. With extensive experience in pharmaceutical sciences, clinical research, and regulatory affairs, her expertise spans dermal drug delivery, traditional medicine, and integrative healthcare. She has contributed significantly to academia through teaching, research, and leadership roles.

Education

  • Doctor of Philosophy (Ph.D.) – Philipps-Universität Marburg, Germany (2021–present)
    Research: Essential influences on dermal penetration efficacy of active compounds
  • Master’s in Pharmacy, Food Chemistry & Medical Nutrition – Chulalongkorn University, Thailand (2008–2011)
  • Bachelor’s in Pharmacy, Pharmaceutical Clinic – Silpakorn University, Thailand (2002–2006)

👩‍🏫 Work Experience

  • Rajamangala University of Technology Thanyaburi (2015–Present)
    • Assistant to the Dean for Research (2024–Present)
    • Assistant Professor, Faculty of Integrative Medicine (2018–Present)
    • Lecturer, Faculty of Integrative Medicine (2015–2018)
    • Head of Regulatory Affairs Pharmacist (Traditional Medicine)
  • Eastern Asia University (2011–2014) – Lecturer, Assistant to the Dean for Academic Affairs
  • Ramathibodi Hospital (2008–2011, 2006–2007) – Research Assistant in clinical trials
  • Phyathai II Hospital (2007–2008) – Hospital Pharmacist

🔬 Research Interests

  • Dermal drug delivery and penetration efficacy
  • Traditional and integrative medicine
  • Pharmaceutical formulation and regulatory affairs
  • Patient counseling and medication compliance

💡Skills

  • Technical Skills: SPSS, Epi-data, PowerPoint, Excel, Word
  • Research & Data Analysis: Clinical trials, pharmaceutical formulation, statistical analysis
  • Regulatory Affairs: Traditional medicine, pharmaceutical compliance
  • Teaching & Mentorship: Pharmacy education, student research supervision

 

Publications

Microneedle-Assisted Delivery of Curcumin: Evaluating the Effects of Needle Length and Formulation

  • Authors: Em-on Chaiprateep, Soma Sengupta, Cornelia M Keck
  • Journal: Micromachines
  • Year: 2024

Influence of Dose, Particle Size and Concentration on Dermal Penetration Efficacy of Curcumin

  • Authors: Em-on Chaiprateep, Sabrina Wiemann, Ralph W Eckert, Christian Raab, Soma Sengupta, Cornelia M Keck
  • Journal: Pharmaceutics
  • Year: 2023

Optimization of water-based ultrasonic-microwave assisted extraction (UMAE) of bioactive compounds from Garcinia mangostana pericarp

  • Authors: Juthaporn Kwansang, Chung-Jen Chen, Em-on Chaiprateep
  • Journal: Journal of Complementary and Integrative Medicine
  • Year: 2022

Influence of mechanical skin treatments on dermal penetration efficacy of active ingredients

  • Authors: Cornelia M Keck, Em-on Chaiprateep, Henriette Dietrich, Soma Sengupta
  • Journal: Pharmaceutics
  • Year: 2022

Optimization ultrasonic–microwave-assisted extraction of phenolic compounds from Clinacanthus nutans using response surface methodology

  • Authors: Siriphatr Chamutpong, Chung-Jen Chen, Em-on Chaiprateep
  • Journal: Journal of Advanced Pharmaceutical Technology & Research
  • Year: 2021

Dr. Bo Kou | Traffic and Transportation Analysis | Best Researcher Award

Publications

Rutting prediction model of asphalt pavement based on RIOHTrack full-scale ring road

  • Author: Bo Kou, Jinde Cao, Wei Huang, Tao Ma, Zhanzhong Shi
    Journal: Measurement
    Year: 2025

Generalization ability of rutting prediction model for asphalt pavement based on RIOHTrack full-scale track

  • Author: Bo Kou, Jinde Cao, Dongqiang Liu, Zhanzhong Shi
    Journal: Conference Proceedings
    Year: 2024

The rutting model of semi-rigid asphalt pavement based on RIOHTRACK full-scale track

  • Author: Bo Kou, Jinde Cao, Wei Huang, Tao Ma
    Journal: Mathematical Biosciences and Engineering
    Year: 2023

Asymptotic synchronization of fractional‐order non‐identical complex dynamical networks with parameter uncertainties

  • Author: Subramaniyan Aadhithiyan, Ramachandran Raja, Bo Kou, Govindaraj Selvam, Michal Niezabitowski, Chee Peng Lim, Jinde Cao
    Journal: Mathematical Methods in the Applied Sciences
    Year: 2022