Assoc Prof Dr. Judit Bayer | Emerging Trends | Best Researcher Award

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Assoc Prof Dr. Judit Bayer | Emerging Trends | Best Researcher Award

Judit Bayer at Budapest Business University, Germany

Profiles

Scopus

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Summary

Assoc. Prof. Dr. Judit Anna Bayer is a leading expert in media law and policy research, focusing on disinformation, freedom of expression, and strategic litigation. With a strong commitment to academic excellence and practical impact, she contributes significantly to European legal frameworks.

Education

  • LLM, University of Münster (Expected 2024)
  • PhD, Eötvös Loránd University, Hungary (2005)
  • Certificate, Doctoral Support Program, Central European University (2002)
  • Legal Degree, Eötvös Loránd University, Hungary (1998)

💼 Professional Experience

  • Kantar Belgium: Participant, “Monitoring Framework for the Code of Practice on Disinformation” (2023-2024)
  • European Parliament: Project Leader, “The Fight Against Disinformation” (2021); “Disinformation Impact on Rule of Law” (2020-2021)
  • European Commission: Project Leader, “Strategic Lawsuits Against Public Participation (SLAPP)” (2020-2021)
  • University of Münster: Co-teaching AI, Human Rights, and Ethics (2020-present)
  • Budapest Business University: Associate Professor, Faculty of International Relations (2016-2020)

🔬 Research Interests

  • Disinformation and its impact on democracy
  • Media law and freedom of expression
  • Strategic litigation and public participation
  • AI and ethics in legal contexts

🛠️ Skills

  • Scientific project coordination
  • Policy research and consulting
  • Editing academic texts
  • Leadership in academic initiatives

 

Publications

The European response to Russian disinformation in the context of the war in Ukraine

  • Authors: Judit Bayer
  • Journal: Hungarian Journal of Legal Studies
  • Year: 2024

The place of content ranking algorithms on the AI risk spectrum

  • Authors: Judit Bayer
  • Journal: Telecommunications Policy
  • Year: 2024

Procedural rights as safeguard for human rights in platform regulation

  • Authors: Judit Bayer
  • Journal: Policy & Internet
  • Year: 2022

A Public Health Research Agenda for Managing Infodemics: Methods and Results of the First WHO Infodemiology Conference

  • Authors: Neville Calleja; AbdelHalim AbdAllah; Neetu Abad; Naglaa Ahmed; Dolores Albarracin; Elena Altieri; Julienne N Anoko; Ruben Arcos; Arina Anis Azlan; Judit Bayer et al.
  • Journal: JMIR Infodemiology
  • Year: 2021

High-impact hate speech by persons of authority: A lower threshold needed?

  • Authors: Judit Bayer
  • Journal: Hungarian Journal of Legal Studies
  • Year: 2021

Assist Prof Dr. Anna Szczerba-Turek | Surveillance | Research Impact Award

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Assist Prof Dr. Anna Szczerba-Turek | Surveillance | Research Impact Award

Anna Szczerba-Turek at University of Warmia and Mazury, Poland

Profiles

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Summary

Assist Prof Dr. Anna Szczerba-Turek is a dedicated researcher with expertise in microbiology, zoonotic diseases, and veterinary sciences. Based at the University of Warmia & Mazury since 2004, she has significantly contributed to the field with research on pathogenic Escherichia coli and its impact on wildlife and humans. Her recent studies focus on understanding zoonotic transmission, particularly Shiga toxin-producing strains. Alongside her research, she is highly active in peer reviewing manuscripts, reflecting her commitment to advancing the scientific community.

Education

Assist Prof Dr. Anna Szczerba-Turek earned her PhD in Epizootiology from the University of Warmia and Mazury in Olsztyn, Faculty of Veterinary Medicine, located in Olsztyn, Poland. Her doctoral studies spanned from October 1, 2004, to January 21, 2009. Prior to this, she obtained her MSc in Biotechnology from the Intercollegiate Faculty of Biotechnology of the University of Gdansk and the Medical University of Gdansk (IFB UG & MUG) in Gdańsk, Poland, where she studied from October 1, 1997, to June 17, 2002.

💼 Professional Experience

  • University of Warmia & Mazury (2004–present)
    Researcher focused on microbiology, zoonotic diseases, and veterinary sciences.

🔬 Research Interests

  • Microbiology and Zoonotic Diseases
    Concentrating on Escherichia coli strains, particularly those with pathogenic potential like Shiga toxin-producing Escherichia coli (STEC) from wildlife such as wild boars, deer, and foxes.
  • Food Safety and Veterinary Sciences
    Evaluating the prevalence of zoonotic bacteria in livestock and companion animals, contributing to studies in food microbiology and antibiotic resistance

 

Publications

Prevalence of Aleutian Mink Disease Virus (AMDV) in Free-Ranging American Mink from Biebrza and Narew National Parks (Poland)—An Epidemiological Concern

  • Authors: Przywara, K., Siemionek, J., Jakubowski, T., Konczyk-Kmiecik, K., Szczerba-Turek, A.
  • Journal: Animals
  • Year: 2024

Shiga Toxin-Producing Escherichia coli in Faecal Samples from Wild Ruminants

  • Authors: Szczerba-Turek, A., Chierchia, F., Socha, P., Szweda, W.
  • Journal: Animals
  • Year: 2023

The Prevalence of Salmonella spp. in Two Arctic Fox (Alopex lagopus) Farms in Poland

  • Authors: Siemionek, J., Przywara, K., Szczerba-Turek, A.
  • Journal: Animals
  • Year: 2020

Fallow Deer (Dama dama) as a Reservoir of Shiga Toxin-Producing Escherichia coli (STEC)

  • Authors: Szczerba-Turek, A., Kordas, B.
  • Journal: Animals
  • Year: 2020

Shiga Toxin-Producing Escherichia coli Isolates from Red Deer (Cervus elaphus), Roe Deer (Capreolus capreolus) and Fallow Deer (Dama dama) in Poland

  • Authors: Szczerba-Turek, A., Siemionek, J., Socha, P., Lipczyńska-Ilczuk, K., Szweda, W.
  • Journal: Food Microbiology
  • Year: 2020

Ms. Feride Secil Yildirim | Deep Learning | Best Researcher Award

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Ms. Feride Secil Yildirim | Deep Learning | Best Researcher Award

Feride Secil Yildirim at Karadeniz Technical University, Turkey

Profiles

Orcid

Research Gate

Summary

Passionate about Geomatics Engineering, Ms. Feride Secil Yildirim is a PhD student at Karadeniz Technical University, specializing in photogrammetry and advanced deep learning techniques.

Education

  • Bachelor’s Degree (2017-2021): Geomatics Engineering, Karadeniz Technical University (Graduated with High Honors)
  • Master’s Degree (2022-2024): Geomatics Engineering, Karadeniz Technical University (Specialization in Photogrammetry)
  • Doctoral Studies (2024-Present): Geomatics Engineering, Karadeniz Technical University

💼 Professional Experience

Ms. Feride has completed four research projects and is currently involved in two ongoing projects, including a TÜBİTAK 1001/2024 initiative focused on developing a new algorithm for automatic adjustment of building boundary geometries from point cloud data. 

🔬 Research Interests

Her primary research interests encompass deep learning, image processing, and machine learning, with notable publications in Q1 journals, including her work on “FwSVM-Net: A Novel Deep Learning-Based Automatic Building Extraction from Aerial Images.” 🔍

 

Publication

FwSVM-Net: A novel deep learning-based automatic building extraction from aerial images

  • Authors: Feride Secil Yildirim, Fevzi Karsli, Murat Bahadir, Merve Yildirim
  • Journal: Journal of Building Engineering
  • Year: 2024

Dr. Shiliang Wang | Benchmark Datasets | Best Scholar Award

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Dr. Shiliang Wang | Benchmark Datasets | Best Scholar Award

Doctorate at Xi`an University of Architecture and Technology, China

Profile

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Summary

Dr. Wang Shiliang is an accomplished researcher and educator specializing in Performance-Driven Intelligent Generative Design for buildings. His work integrates machine learning, big data, and urban health, focusing on creating innovative solutions for architectural design. Dr. Wang has published impactful research and mentored award-winning student projects, earning recognition for his contributions to the architectural field.

Education

  • Bachelor’s Degree: Jinan University, Jinan (2009-2014)
  • Master’s Degree: Xi’an University of Architecture and Technology, Xi’an (2014-2017)
  • PhD Degree: Xi’an University of Architecture and Technology, Xi’an (2018-Present)

💼 Professional Experience

  • Published SCI and conference papers on climate-adaptive shading systems, thermal comfort, and urban-scale assessments
  • Authored three utility model patents, including innovations in ventilation systems and adjustable shading windows
  • Guided award-winning student architectural design projects in prestigious national and international competitions

  🏆Teaching Experience and Achievements

  • “Ancient City Pacemaker”: First Prize, UIA Hope Cup 2020 International Student Architectural Design Competition
  • “Desert Pearl”: First Prize, 2022 Tianhua Cup ART&TECH National Student Architectural Design Competition
  • “Inside and Outside the City Wall”: Excellent Award, 2022 10th “Tianzuo Award” International Student Architectural Design Competition
  • “Bypass Surgery: Heart Bridge”: Finalist, 2022 eVolo Skyscraper Competition

🔬 Research Interests

  • Machine Learning for architectural design
  • Intelligent Generation and performance-driven solutions
  • Big Data applications in urban health
  • Enhancing thermal comfort and cognitive performance in built environments

 

Publication

Coupled Impact of Points of Interest and Thermal Environment on Outdoor Human Behavior Using Visual Intelligence

  • Authors: Shiliang Wang, Qun Zhang, Peng Gao, Chenglin Wang, Jiang An, Lan Wang
  • Journal: Buildings
  • Year: 2024

Dr. Xiaochen Hao | Chemical Industry | Best Researcher Award

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Dr. Xiaochen Hao | Chemical Industry | Best Researcher Award

Doctorate at Yanshan University, China

Profiles

Scopus

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Research Gate

Summary

Dr. Xiaochen Hao is a distinguished professor in the Department of Instrument Science and Engineering at Yanshan University. Recognized as a young top-notch talent in Hebei Province, he has led multiple significant research projects, securing funding from the National Natural Science Foundation of China and other prestigious grants.

Education

Dr. Hao holds a doctoral degree in his field, demonstrating a strong academic foundation that supports his research initiatives.

💼 Professional Experience

  • Professor and doctoral supervisor, overseeing numerous funded research projects, including three National Natural Science Foundation projects and various local initiatives.
  • Led 18 collaborative projects with industry partners.

🔬 Research Interests

  • Instrumentation and automation
  • Energy efficiency in industrial processes
  • Predictive modeling and data analysis

 

Publications

Collaborative optimization decision making of cement grinding process operational indicators considering dual dynamic problem

  • Authors: Yonghang Li; Tianqi Yang; Xiaochen Hao; Jieguang Yang; Quanwei Sun
  • Journal: Applied Soft Computing
  • Year: 2024

Distributed optimization game algorithm to improve energy efficiency for multi-radio multi-channel wireless sensor network

  • Authors: Ning Yao; Bai Chen; Jiaojiao Wang; Liyuan Wang; Xiaochen Hao
  • Journal: Transactions of the Institute of Measurement and Control
  • Year: 2024

Feature Constrained Encoding Generative Adversarial Prediction Network for Quality Measurement Modeling Under Multitime Scales Data Imbalance In Process Industry

  • Authors: Gaolu Huang; Xiaochen Hao; Yifu Zhang; Jinbo Liu; Junze Jiao
  • Journal: IEEE Sensors Journal
  • Year: 2024

Monitoring method and application of transition process with nonstationary conditions based on stability factor partitioning and RSFA

  • Authors: Zhipeng Zhang; Libin Wei; Xiaochen Hao; Yunzhi Wang; Yuming Li; Jiahao Hu
  • Journal: Journal of Process Control
  • Year: 2024

Multi-index control strategy from cement calcination denitration system: a model predictive control method for combined control of nitrogen oxide and ammonia escape

  • Authors: Xiaochen Hao; Xinqiang Wang; Xing Wang; Yukun Ji
  • Journal: Environmental Science and Pollution Research
  • Year: 2024

Mr. Guiru Zhang | Electrochemistry | Best Researcher Award

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Mr. Guiru Zhang | Electrochemistry | Best Researcher Award

Guiru Zhang at Shanghai Jiaotong University, China

Profiles

Scopus

Google Scholar

Research Gate

Summary

Mr. Guiru Zhang is a PhD student at the Fuel Cell Research Institute of Shanghai Jiao Tong University, specializing in electrocatalysis for energy conversion. His work integrates experimental research with theoretical computations to advance the development of electro-catalysts.

Education

  • PhD, Fuel Cell Research Institute, Shanghai Jiao Tong University
  • Bachelor’s degree, East China University of Science and Technology
  • Bachelor’s degree, Nanjing Forestry University

🔍 Research Experience

  • Designed and developed a monolithic catalyst and microreactor for methanol steam reforming.
  • Synthesized 2,5-Dimethylfuran from 5-Hydroxymethylfurfural on Ru/C catalyst.
  • Published research in Nature Communications, Nano Research, and Applied Catalysis.

🏆 Awards and Honors

  • First Prize, 2021 “Challenge Cup” National College Students Competition
  • Second Prize, 2021 “Internet +” Entrepreneurship Competition
  • National Encouragement Scholarship (twice)

🔬 Research Interests

  • Electrocatalysis and energy conversion processes
  • Development of advanced electro-catalysts for fuel cells
  • Integration of experimental and computational methods in catalyst research

 

Publications

Second-Shell N Dopants Regulate Acidic O2 Reduction Pathways on Isolated Pt Sites

  • Authors: Baoxin Ni, Peng Shen, Guiru Zhang, Jiajun Zhao, Honghe Ding, Yifan Ye, Zhouying Yue, Hui Yang, Hao Wei, Kun Jiang
  • Journal: Journal of the American Chemical Society
  • Year: 2024

Artificial synthesis of polyesters at ambient condition via consecutive CO2 electrolysis and fermentation

  • Authors: Guiru Zhang, Ning Ji, Shiheng Lyu, Baoxin Ni, Peng Shen, Ke Ye, Yuting Wang, Xuheng Jiang, Hai Zhang, Xi Liu, Yongcheng Wang, Kun Jiang
  • Journal: Nano Research
  • Year: 2024

Single-atom Ni-N4 for enhanced electrochemical sensing

  • Authors: Zhuhui Qin, Bo Tang, Guiru Zhang, Chongqing Zhu, Kun Jiang, Bowei Zhang, Fu-Zhen Xuan
  • Journal: Nano Research
  • Year: 2024

Electrifying HCOOH synthesis from CO2 building blocks over Cu–Bi nanorod arrays

  • Authors: Guiru Zhang, Bing Tan, Dong Hyeon Mok, Huiya Liu, Baoxin Ni, Gui Zhao, Ke Ye, Shengjuan Huo, Xiaohe Miao, Zheng Liang, Xi Liu, Liwei Chen, Zemin Zhang, Wen-Bin Cai, Seoin Back, Kun Jiang
  • Journal: Proceedings of the National Academy of Sciences
  • Year: 2024

Correlating Oxidation State and Surface Ligand Motifs with the Selectivity of CO2 Photoreduction to C2 Products

  • Authors: Baoxin Ni, Guiru Zhang, Huiming Wang, Yulin Min, Kun Jiang, Hexing Li
  • Journal: Angewandte Chemie
  • Year: 2023

Dr. Suprit Dilip Saoji | Biomedical | Best Researcher Award

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Dr. Suprit Dilip Saoji | Biomedical | Best Researcher Award

Doctorate at Dr Reddys Laboratories Ltd, India

Profiles

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Google Scholar

Summary

Dr. Suprit Dilip Saoji is a highly accomplished pharmaceutical professional with nearly a decade of experience in the pharmaceutical industry. He specializes in product ideation, selection, and lifecycle management, expertly guiding products from concept to successful launch. His strong skills in market research, financial analysis, and stakeholder management enable him to make informed strategic decisions that drive growth in both regulatory and emerging markets.

Education

  • Post Graduate Diploma in Patent Law
    Nalsar University of Law, Hyderabad (2021-2022)
  • Ph.D. in Pharmaceutical Sciences
    Nagpur University, Nagpur (2013-2015)
  • Master of Pharmacy (Pharmaceutics)
    Amravati University, Amravati (2009-2011)
  • Bachelor of Pharmacy
    Amravati University, Amravati (2005-2009)

💼 Professional Experience

  • Dr. Reddy’s Laboratories (Jun 2023 – Present)
    Product Ideation & Selection Specialist

    • Drives product ideation and stakeholder management, crafts strategic product roadmaps, and conducts market analyses to identify opportunities for new pharmaceutical products.
  • Slayback Pharma (Sept 2020 – Jun 2023)
    Manager, Formulation Development

    • Developed patented formulations for anti-cancer therapies and executed pilot bio-studies, showcasing a strong innovation drive.
  • Granules India Ltd (May 2019 – Sept 2020)
    Assistant Manager, Formulation Development

    • Successfully managed scale-up and market readiness for several pharmaceutical products in international markets.
  • Alkem Laboratories (Feb 2016 – May 2019)
    Senior Scientist, Formulation Development

    • Led the development of extended-release formulations, achieving USFDA approval during his tenure.

🔬 Research Interests

Dr. Saoji is particularly interested in innovative drug delivery systems and formulation strategies for chronic conditions like cancer and neuropathic pain. His research aims to bridge the gap between scientific feasibility and market demand, enhancing therapeutic outcomes. 

 

Publications

Eco synthesized chitosan/zinc oxide nanocomposites as the next generation of nano-delivery for antibacterial, antioxidant, antidiabetic potential, and chronic wound repair

  • Authors: Diksha Halarnekar, Muniappan Ayyanar, Peramaiyan Gangapriya, Mohan Kalaskar, Vivek Redasani, Nilambari Gurav, Sameer Nadaf, Suprit Saoji, Nilesh Rarokar, Shailendra Gurav
  • Journal: International Journal of Biological Macromolecules
  • Year: 2023

Preparation and formula optimization of cephalexin loaded transferosomal gel by QbD to enhance the transdermal delivery: in vitro, ex vivo and in vivo study

  • Authors: Nilesh R Rarokar, Suprit D Saoji, Nishika V Deole, Madhuri Gaikwad, Abhijeet Pandey, Chinnaperumal Kamaraj, Suresh V Chinni, Vetriselvan Subramaniyan, Gopinath Ramachawolran, Sanket Dharashivkar
  • Journal: Journal of Drug Delivery Science and Technology
  • Year: 2023

Magnetic nanosystem a tool for targeted delivery and diagnostic application: Current challenges and recent advancement

  • Authors: Nilesh Rarokar, Sakshi Yadav, Suprit Saoji, Pratiksha Bramhe, Rishab Agade, Shailendra Gurav, Pramod Khedekar, Vetriselvan Subramaniyan, Ling Shing Wong, Vinoth Kumarasamy
  • Journal: International Journal of Pharmaceutics: X
  • Year: 2024

Ethnological validation of Ashwagandha (Withania somnifera L. Dunal) ghrita as ‘Vajikarana Rasayana’: In-silico, in-vitro and in-vivo approach

  • Authors: Shailendra Gurav, Manish Wanjari, Ritesh Bhole, Nishikant Raut, Satyendra Prasad, Suprit Saoji, Rupesh Chikhale, Pukar Khanal, Amit Pant, Muniappan Ayyanar, Nilambari Gurav
  • Journal: Journal of Ethnopharmacology
  • Year: 2023

Ethnological validation of Ashwagandha (Withania somnifera L. Dunal) ghrita as ‘Vajikarana Rasayana’: In-silico, in-vitro and in-vivo approach

  • Authors: Shailendra Gurav, Manish Wanjari, Ritesh Bhole, Nishikant Raut, Satyendra Prasad, Suprit Saoji, Rupesh Chikhale, Pukar Khanal, Amit Pant, Muniappan Ayyanar, Nilambari Gurav
  • Journal: Journal of Ethnopharmacology
  • Year: 2023

Prof Dr. Jong-Chen Chen | Robotic Rehabilitation | Best Researcher Award

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Prof Dr. Jong-Chen Chen | Robotic Rehabilitation | Best Researcher Award

Jong-Chen Chen at National Yunlin University of Science and Technology, Taiwan

Profiles

Scopus

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Summary

Prof. Dr. Jong-Chen Chen is a prominent researcher and Full Professor in the Department of Information Management at National Yunlin University of Science and Technology, Taiwan, with a focus on innovative applications of neuromolecular models in robotics and computation.

Education

  • M.S. in Computer Science and Electrical Engineering
    University of Texas at Arlington (1986)
  • Ph.D. in Computer Science
    Wayne State University (1993)

💼 Professional Experience

Full Professor
Department of Information Management, National Yunlin University of Science and Technology (2000 – Present)

🔬 Research Interests

  • Evolvable Hardware
  • Brain-like Computer Simulation
  • Ecosystem Simulation
  • Bio-computing & Artificial Life
  • Molecular Electronics
  • Evolutionary Computation & Genetic Programming
  • Pattern Recognition

 

Publications

Application of Artificial Neuromolecular System in Robotic Arm Control to Assist Progressive Rehabilitation for Upper Extremity Stroke Patients

  • Authors: Jongchen Chen; Hao-Ming Cheng
  • Journal: Actuators
  • Year: 2024

Applying an Artificial Neuromolecular System to the Application of Robotic Arm Motion Control in Assisting the Rehabilitation of Stroke Patients—An Artificial World Approach

  • Authors: Jong-Chen Chen; Hao-Ming Cheng
  • Journal: Biomimetics
  • Year: 2023

Bridging the Finger-Action Gap between Hand Patients and Healthy People in Daily Life

  • Authors: Chen, Jong-Chen
  • Journal: Biomimetics
  • Year: 2023

Using Artificial Neuro-Molecular System in Robotic Arm Motion Control-Taking Simulation of Rehabilitation as an Example

  • Authors: Chen, Jong-Chen
  • Journal: Sensors
  • Year: 2022

Effectiveness of Companion Robot Care for Dementia: A Systematic Review and Meta-Analysis

  • Authors: Li-Chin Lu; Shao-Huan Lan; Yen-Ping Hsieh; Long-Yau Lin; Shou-Jen Lan; Jong-Chen Chen
  • Journal: Innovation in Aging
  • Year: 2021

Dr. Ruiteng Zhang | Augmented Reality | Best Researcher Award

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Dr. Ruiteng Zhang | Augmented Reality | Best Researcher Award

Doctorate at Tianjin University, China

Profiles

Scopus

Google Scholar

Summary

Dr. Ruiteng Zhang is currently a Ph.D. student at Tianjin University, specializing in speech signal processing and domain adaptation. With six years of research experience, he has published eight first-author papers in top journals and conferences such as IEEE TASLP, ICASSP, and Interspeech.

Education

  • Ph.D. in Speech Signal Processing, Tianjin University
    Focus: Domain adaptation, speaker recognition, and speech anti-spoofing.

💼 Professional Experience

Reviewer for renowned journals and conferences, including Speech Communication, ICASSP, and NeurIPS.

🔬 Research Interests

  • Speech signal processing
  • Speaker recognition
  • Domain adaptation
  • Speech anti-spoofing with unsupervised adaptation algorithm

 

Publications

Multi-modal co-learning for silent speech recognition based on ultrasound tongue images

  • Authors: Minghao Guo, Jianguo Wei, Ruiteng Zhang, Yu Zhao, Qiang Fang
  • Journal: Speech Communication
  • Year: 2024

Unsupervised Adaptive Speaker Recognition by Coupling-Regularized Optimal Transport

  • Authors: Ruiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin, Lin Zhang, Junhai Xu
  • Journal: IEEE/ACM Transactions on Audio, Speech, and Language Processing
  • Year: 2024

TMS: Temporal multi-scale in time-delay neural network for speaker verification

  • Authors: Ruiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin, Lin Zhang, Junhai Xu, Jianwu Dang
  • Journal: Applied Intelligence
  • Year: 2023

Self-supervised learning based domain regularization for mask-wearing speaker verification

  • Authors: Ruiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin, Lin Zhang, Yantao Ji, Junhai Xu
  • Journal: Speech Communication
  • Year: 2023

ARET: Aggregated Residual Extended Time-Delay Neural Networks for Speaker Verification.

  • Authors: Ruiteng Zhang, Jianguo Wei, Wenhuan Lu, Longbiao Wang, Meng Liu, Lin Zhang, Jiayu Jin, Junhai Xu
  • Journal: Interspeech
  • Year: 2020

Assoc Prof Dr. Shiwei Liu | Industrial | Best Researcher Award

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Assoc Prof Dr. Shiwei Liu | Industrial | Best Researcher Award

Shiwei Liu at Huazhong Agricultural University, China

Profiles

Scopus

Orcid

Education

  • Ph.D. in Mechanical Engineering – Huazhong University of Science and Technology (HUST), 2019
  • M.E. in Measurement Technology and Instrumentation – HUST, 2016
  • B.E. in Mechanical Design Manufacturing and Automation – Hubei University of Technology, 2014

💼 Professional Experience

Assoc Prof Dr. Shiwei Liu has extensive professional experience in the field of engineering and research. He has been an Associate Professor and Doctoral Supervisor at Huazhong Agricultural University since April 2022, leading the Intelligent Nondestructive Testing and Digital Equipment Group. Prior to this role, he served as a Postdoctoral Research Fellow at Huazhong University of Science and Technology from June 2019 to March 2022, focusing on advanced nondestructive testing methodologies. Liu earned his Ph.D. in Mechanical Engineering from HUST in 2019, along with a Master’s degree in Measurement Technology and Instrumentation. His academic foundation includes a Bachelor’s degree in Mechanical Design Manufacturing and Automation from Hubei University of Technology. Throughout his career, he has made significant contributions to research, teaching, and the development of innovative technologies.

🔬 Research Interests

  • Nondestructive testing (NDT) techniques
  • Structural health monitoring
  • Advanced sensor development
  • AI algorithms and pattern recognition

🏆 Honors & Awards

  • Best Researcher Award, International Research Awards on High Energy Physics and Computational Science, 2024
  • Best Paper Award, ICMSD 2023
  • National Scholarship for Doctoral Candidates, Ministry of Education of China, 2018

 

Publications

Wavelet structuring element-based morphological filtering method in wire rope inspection signal denoising

  • Authors: Liu, S., Shan, L., Liu, Y., Sun, Y., He, L.
  • Journal: Structural Health Monitoring
  • Year: 2024

Magnetic focusing sensor and its characterizations of defect non-destructive testing for ferromagnetic steel plate

  • Authors: Liu, S., Hua, X., Liu, Y., Lin, W., Wang, Q.
  • Journal: NDT and E International
  • Year: 2024

Nondestructive testing of runny salted egg yolk based on improved ConvNeXt-T

  • Authors: Chen, H., Chang, Y., Chen, Y., Liu, S., Wang, Q.
  • Journal: Journal of Food Science
  • Year: 2024

Brownian motion based multi-objective particle swarm optimization methodology and application in binary classification

  • Authors: Liu, S., Liu, Y., Wang, Q., Sun, Y., He, L.
  • Journal: Applied Soft Computing
  • Year: 2024

Hybrid Conditional Kernel SVM for Wire Rope Defect Recognition

  • Authors: Liu, S., Liu, Y., Shan, L., Sun, Y., He, L.
  • Journal: IEEE Transactions on Industrial Informatics
  • Year: 2024