Guojun Wu | Civil Engineering | Best Researcher Award

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Mr. Guojun Wu | Civil Engineering | Best Researcher Award

Professor at Chinese Academy of Sciences, China

Professor Guojun Wu is a distinguished researcher in geotechnical and underground engineering, serving at the Institute of Rock and Soil Mechanics, Chinese Academy of Sciences in Wuhan, China. With over two decades of impactful academic and industry contributions, he specializes in underground engineering disaster mechanisms and support control technologies. He has led 14 completed and 3 ongoing research projects, authored 78 peer-reviewed publications, published 4 books, and holds 37 patents (with 4 pending). He actively contributes to the advancement of tunnel safety and sustainable underground infrastructure development.

Publication Profile 

Scopus

Educational Background 🎓

  • Bachelor’s Degree (2001): Engineering Mechanics, Wuhan University, China

  • Master’s Degree (2003–2006): Geotechnical Engineering, Wuhan Institute of Geotechnical Mechanics, Chinese Academy of Sciences

  • Ph.D. Degree (2006–2009): Geotechnical Engineering, Wuhan Institute of Geotechnical Mechanics, Chinese Academy of Sciences

Professional Experience 💼

  • Current Position: Professor, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences

  • Editorial Roles:

    • Editorial Board Member, International Journal of Mining Science and Technology

    • Guest Editor, Advances in Civil Engineering

  • International Collaboration:

    • Research on Boom Clay with Belgian Nuclear Research Center

    • Visiting Scholar at Lorrain University, France

  • Consultancy Projects: Led 6 industry projects

  • Professional Affiliations:

    • Director, Underground Engineering Branch, Chinese Society of Rock Mechanics and Engineering

    • Director, Hubei Underground Engineering Society

Research Interests 🔬

  • Geotechnical Engineering

  • Underground Engineering

  • Tunnel Safety and Deformation Control

  • Rock Mechanics

  • Dynamic Stress Testing

  • Support Control Technologies for Steeply Inclined and Squeezing Rock Tunnels

Awards and Honors🏆✨

  • Nominee for the Global Innovation Technologist Awards – Best Researcher Award

  • Recognized for proposing the dynamic stress testing method for soft rock and a buffer support design method for asymmetric deformation in tunnels, both adopted in deep coal mine projects.

Conclusion🌟

Professor Guojun Wu stands as a leading figure in the field of underground geotechnical engineering, with innovations that have significantly improved safety and design in high-risk environments. His extensive publication record, interdisciplinary collaborations, and patented technologies position him as a prime candidate for the Best Researcher Award. His work demonstrates practical impact, academic rigor, and global collaboration, making him an invaluable contributor to civil engineering and underground infrastructure sciences.

Publications 📚

🔬 Journal Article | 🆓 Open Access | 🗓️ 2025 | 🔢 0 citations
Li, Y., Wu, G., Chen, W., Yuan, J., & Huo, M. (2025). Laboratory model tests and unstable collapse analysis of SPB shield machine tunnelling in saturated sand. Tunnelling and Underground Space Technology.
📌 Focus: Collapse behavior during shield machine tunneling in saturated sand.

🔬 Journal Article | 🆓 Open Access | 🗓️ 2025 | 🔢 0 citations
Huo, M., Chen, W., Yuan, J., Li, Y., & Liu, Y. (2025). Experimental investigation and limit analysis of shield tunnel face failure mechanism in sand. Underground Space (China).
📌 Focus: Tunnel face failure mechanism under sandy conditions.

🔬 Journal Article | 🆓 Open Access | 🗓️ 2025 | 🔢 0 citations
Wen, C., Jia, S., Fu, X., & He, H. (2025). Semi-analytical assessment of dynamic sealing capacity of underground gas storage: A case of Songliao Basin, Northeastern China. Journal of Rock Mechanics and Geotechnical Engineering.
📌 Focus: Sealing effectiveness in underground gas reservoirs.

🔬 Journal Article | 🗓️ 2025 | 🔢 1 citation
Yu, J., Zhang, Z., Wu, G., Li, X., & Tian, H. (2025). Investigation on asymmetric dynamic response characteristics of anchored surrounding rock under blasting excavation of inclined layered rock tunnel. Canadian Geotechnical Journal.
📌 Focus: Response of surrounding rock under dynamic blasting loads.

🔬 Journal Article | 🗓️ 2024 | 🔢 1 citation
Shu, X., Chen, W., Qiu, X., Wu, G., & Tian, Y. (2024). Anchorage mechanism and parametric analysis of a novel interface-shear-stress-dispersing bolt. Tunnelling and Underground Space Technology.
📌 Focus: New bolt design for stress dispersion in tunneling.

🔬 Journal Article | 🗓️ 2024 | 🔢 2 citations
Li, Y., Wu, G., Chen, W., Huo, M., & Liu, Y. (2024). Laboratory experimental study of the forming and failure mechanisms of soil arching during EPBS tunnelling in sand. Engineering Failure Analysis.
📌 Focus: Soil arching effects during Earth Pressure Balance Shield (EPBS) tunneling.

🔬 Journal Article | 🗓️ 2024 | 🔢 1 citation
Li, Y., Wu, G., Chen, W., Yuan, J., & Huo, M. (2024). Influence of confined water on the limit support pressure of tunnel face in weakly water-rich strata. Journal of Central South University.
📌 Focus: Impact of water content on tunnel face stability.

Amreen Shafique | Software Engineering | Best Researcher Award

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Dr. Amreen Shafique | Software Engineering | Best Researcher Award

Phd Scholar at Dalian University of Technology, China

Amreen Shafique is a dedicated Ph.D. scholar in Software Engineering at Dalian University of Technology, China. She has a strong academic background in computer science, complemented by practical teaching experience and a growing publication record in artificial intelligence and cybersecurity. Passionate about research and innovation, she aims to contribute to cutting-edge technologies such as Explainable AI, deep learning, and software-defined networking. Her analytical mindset, programming skills, and commitment to academic excellence define her professional identity.

Publication Profile 

Scopus

Educational Background 🎓

  • Doctor of Philosophy (Ph.D.) in Software Engineering
    Dalian University of Technology, China
    2022 – Ongoing

  • Master of Science (MS) in Computer Science
    Mohi-ud-din Islamic University, Azad Kashmir, Pakistan
    2016 – 2018
    CGPA: 3.16 / 4.00

  • Bachelor of Science (BS) in Computer Science
    The University of Azad Jammu and Kashmir, Pakistan
    2007 – 2011
    CGPA: 2.72 / 4.00

Professional Experience 💼

  • Lecturer, Computer Science
    University of Kotli, Azad Kashmir, Pakistan
    2018 – 2022
    Delivered undergraduate courses, guided student projects, and participated in curriculum development.

  • Lecturer, Computer Science
    Leads Group of Colleges, Azad Kashmir, Pakistan
    2014 – 2018
    Engaged in teaching foundational and advanced computer science subjects.

Research Interests 🔬

  • Explainable Artificial Intelligence (XAI)

  • Cyber Security

  • Wireless Networking and Security

  • Deep Learning Enabled Robotics and Automation

  • Software Defined Networking (SDN)

  • Advanced Neural Networks

  • Generative Models

Strengths and Technical Skills

  • Technical and Research Writing (English)

  • Critical Analysis of Literature

  • Data Analytics

  • Programming Languages: MATLAB, Python, Java

Conclusion🌟

Amreen Shafique is an emerging researcher with a strong vision for integrating ethical AI, cybersecurity, and intelligent automation into real-world solutions. Her commitment to academic growth, combined with hands-on teaching and research experience, positions her as a valuable contributor to any forward-thinking research team or academic institution. She seeks opportunities that will foster collaboration, innovation, and impactful scientific contributions.

Publications 📚

1️⃣ AI Models and Ethical Considerations in Research

🧠📜 This publication explores the integration of ethical frameworks in the development and deployment of artificial intelligence models, emphasizing transparency, bias mitigation, and responsible innovation.

2️⃣ PypiGuard: A Novel Meta-Learning Approach for Enhanced Malicious Package Detection in PyPI Through Static-Dynamic Feature Fusion

This research presents PypiGuard, a cutting-edge hybrid model that combines static and dynamic analysis techniques using meta-learning to detect malicious packages in Python’s official package repository (PyPI), enhancing cybersecurity and trust in open-source software ecosystems.

Ikhlef JEBBOR | Industrial engineering | Excellence in Research

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Dr. Ikhlef JEBBOR | Industrial engineering | Excellence in Research

ibn Tofail University at National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco

A Ph.D. candidate in Sustainable Optimization of Manufacturing and Supply Chain with extensive experience in both academia and industry. Focuses on lean manufacturing, production optimization, and AI for sustainable development. Currently an Engineering Project Leader at Sumitomo Electric Wiring Systems (SEWS-E), leading process improvements in the automotive industry. Expert in project management, operational research, and continuous improvement strategies such as Six Sigma and Kaizen. Has published numerous peer-reviewed articles and presented at international conferences on sustainability and advanced manufacturing techniques.

Professional Profile

Scopus Profile

Education:

  • Ph.D. in Sustainable Optimization of Manufacturing and Supply Chain (ENSA Kenitra, Ibn Tofail University, 2022 – Current)
  • State Engineer, Industrial Engineering (GI) (FST Errachidia, Moulay Ismail University, 2010 – 2013)
  • Physics & Chemistry Teacher Education Diploma (CPR Mohamed V SAFI, Morocco, 2009 – 2010)
  • Professional University Degree, Renewable Energies and Sustainable Development (ERDD) (Faculty of Sciences -Agadir, Ibn Zohr University, 2007 – 2009)
  • General University Degree, Physical Matter Sciences (SMP) (Faculty of Sciences -Agadir, Ibn Zohr University, 2005 – 2007)
  • BAC, Experimental Science (Salah Eddin Elayyoubi High School, Tinghir, 2005)

Professional Experience:

Sumitomo Electric Wiring Systems (SEWS-E)

  • Engineering Project Leader (Feb 2021 – Current)
  • Senior Project Engineer (Aug 2018 – Jan 2021)
  • Process Engineer (Sep 2015 – Aug 2018)
  • Work Study Engineer (May 2014 – Aug 2015)

Research Interests:

  • Facilities Design and Optimization
  • Lean Manufacturing
  • Production Planning and Scheduling
  • Supply Chain Management
  • Mathematical Modeling and Optimization

Awards and Honors:

  • Outstanding Project Leader Award
    Sumitomo Electric Wiring Systems (SEWS-E), 2022
    Recognized for leading key process improvements in automotive production, significantly enhancing efficiency and innovation.
  • Excellence in Lean Manufacturing Implementation
    Sumitomo Electric Wiring Systems (SEWS-E), 2020
    Awarded for implementing lean manufacturing strategies that resulted in significant cost savings and production efficiency.
  • Best Paper Award
    International Conference on Industrial Engineering and Applications (ICIEA), 2023
    Awarded for presenting the paper on “Improvement of an Assembly Line in the Automotive Industry: A Case Study in Wiring Harness Assembly Line.”
  • Research Excellence Award
    ENSA Kenitra, Ibn Tofail University, 2022
    For contributions to sustainable optimization of manufacturing and supply chain research, particularly in the automotive industry.
  • Innovation Award for Sustainable Practices
    Sustainability and Advanced Manufacturing Techniques Conference, 2023
    Honored for innovative research in applying AI and optimization techniques for sustainable manufacturing practices.

Conclusion:

With an extensive background in industrial engineering, lean manufacturing, and AI applications, I have consistently delivered impactful results in both academia and industry. My experience as an Engineering Project Leader at Sumitomo Electric Wiring Systems (SEWS-E) and my ongoing doctoral research on the sustainable optimization of manufacturing and supply chain systems equip me with a strong foundation for tackling complex industry challenges.

Through my research, publications, and practical experience, I aim to contribute to the development of more efficient, sustainable, and innovative manufacturing processes. I am committed to driving continuous improvement through the application of cutting-edge methodologies such as Six Sigma, Kaizen, and AI-driven optimizations. As I continue to advance in both academia and industry, I strive to shape the future of sustainable industrial engineering and contribute to global efforts for sustainable development.

Publication Top Notes

  1. 📊 Article: Forecasting supply chain disruptions in the textile industry using machine learning: A case study
    • Authors: Jebbor, I., Benmamoun, Z., Hachimi, H.
    • Journal: Ain Shams Engineering Journal, 2024, 15(12), 103116
    • Citations: 1
  2. 🌍 Conference Paper: Optimization of Carbon Emissions in Asphalt Pavement Construction
    • Authors: Benmamoun, Z., Elkhechafi, M., Abdo, A.A., Jebbor, I.
    • Conference: 10th Edition of the International Conference on Optimization and Applications, ICOA 2024 – Proceedings
    • Citations: 0
  3. 🧠 Conference Paper: Comparison of Generative AI Models in Supply Chain Management: Benefits, Applications and Challenges
    • Authors: Khlie, K., Benmamoun, Z., Jebbor, I., Hachimi, H.
    • Conference: 10th Edition of the International Conference on Optimization and Applications, ICOA 2024 – Proceedings
    • Citations: 0
  4. 🤖 Article: Generative AI for enhanced operations and supply chain management
    • Authors: Khlie, K., Benmamoun, Z., Jebbor, I., Serrou, D.
    • Journal: Journal of Infrastructure, Policy and Development, 2024, 8(10), 6637
    • Citations: 1
  5. 🌱 Article: Revolutionizing cleaner production: The role of artificial intelligence in enhancing sustainability across industries
    • Authors: Jebbor, I., Benmamoun, Z., Hachmi, H.
    • Journal: Journal of Infrastructure, Policy and Development, 2024, 8(10), 7455
    • Citations: 1
  6. 📉 Article: Leveraging variational autoencoders and recurrent neural networks for demand forecasting in supply chain management: A case study
    • Authors: Khlie, K., Benmamoun, Z., Fethallah, W., Jebbor, I.
    • Journal: Journal of Infrastructure, Policy and Development, 2024, 8(8), 6639
    • Citations: 5
  7. 📚 Conference Paper: Application of Fuzzy Logic for Evaluating Student Learning Outcomes in E-Learning
    • Authors: Mousse, M.A., Almufti, S.M., García, D.S., Aljarbouh, A., Tsarev, R.
    • Conference: Lecture Notes in Networks and Systems, 2024, 935 LNNS, pp. 175–183
    • Citations: 2
  8. 🚗 Conference Paper: Application of Manufacturing Cycle Efficiency to Increase Production Efficiency: Application in Automotive Industry
    • Authors: Jebbor, I., Benmamoun, Z., Hachimi, H.
    • Conference: 2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2024
    • Citations: 3
  9. 🔧 Conference Paper: Process Improvement of Taping for an Assembly Electrical Wiring Harness
    • Authors: Jebbor, I., Raouf, Y., Benmamoun, Z., Hachimi, H.
    • Conference: Lecture Notes in Business Information Processing, 2024, 507 LNBIP, pp. 35–48
    • Citations: 3
  10. ⚙️ Article: Optimizing Manufacturing Cycles to Improve Production: Application in the Traditional Shipyard Industry
  • Authors: Jebbor, I., Benmamoun, Z., Hachimi, H.
  • Journal: Processes, 2023, 11(11), 3136
  • Citations: 10

 

 

 

Rajesh Singh | Engineering | Best Researcher Award

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Prof. Dr. Rajesh Singh | Engineering | Best Researcher Award

Professor at Uttaranchal University, India

Rajesh Singh, Ph.D., is an accomplished academician and researcher with over 20 years of experience in engineering and innovation. He currently serves as the Director of Research & Innovation at Uttaranchal University, as well as the Head of Innovation & Entrepreneurship at Lovely Professional University and Head of the Robotics Research Centre at the University of Petroleum & Energy Studies. Dr. Singh has been instrumental in driving various research and innovation initiatives, with notable accomplishments in the fields of Wireless Sensor Networks, Embedded Systems, Robotics, Artificial Intelligence, Machine Learning, Automation, IoT, and Raspberry Pi.

Publication Profile : 

Scopus

Educational Background 🎓

  • Ph.D. in Electronics Engineering from the University of Petroleum and Energy Studies, Dehradun (2016).
  • M.Tech in Electronics & Communication Engineering from Rajiv Gandhi Technical University (2009).
  • B.E. in Electronics & Communication Engineering from Dr. B.R Ambedkar University, Agra (2002).

Professional Experience 💼

Held various positions in academia, including Associate Professor, Assistant Professor, and Director, with a focus on innovation, research, and entrepreneurship across multiple institutions, including Uttaranchal University, Lovely Professional University, and University of Petroleum & Energy Studies.

Research Interests 🔬

  • Wireless Sensor Networks
  • Embedded Systems
  • Robotics
  • Artificial Intelligence
  • Machine Learning
  • Internet of Things (IoT)
  • Automation

Awards & Recognition

  • Award of Excellence for Research and Innovation in Science, conferred by the State Minister of Uttarakhand, India
  • Recognized for significant contributions to innovation, technology, and academic excellence both nationally and internationally.

Publications 📚

  • Title: Lumpy skin disease virus identification using image-based and deep learning approach
  • Authors: Sharma, S., Joshi, K., Singh, R., Sharma, G., Kumar, G.
  • Conference: Computational Methods in Science and Technology – Proceedings of the 4th International Conference on Computational Methods in Science and Technology, ICCMST 2024
  • Year: 2025
  • Volume: 2
  • Pages: 30–35
  • Title: Leveraging wireless technology and IoT in developing a smart judiciary system with smart dust sensors
  • Authors: Vaish, K., Sharma, M., Kathuria, S., Akram, S.V., Malik, P.K.
  • Book: Intelligent Networks: Techniques, and Applications
  • Year: 2024
  • Pages: 129–151
  • Title: Design of an iterative method for disease prediction in finger millet leaves using graph networks, dyna networks, autoencoders, and recurrent neural networks
  • Authors: Tiwari, S., Gehlot, A., Singh, R., Twala, B., Priyadarshi, N.
  • Journal: Results in Engineering
  • Year: 2024
  • Volume: 24
  • Article ID: 103301
  • Title: Vision-based approach for human motion detection and smart appliance control
  • Authors: Swami, S., Singh, R., Gehlot, A., Kumar, D., Shah, S.K.
  • Journal: IAES International Journal of Robotics and Automation
  • Year: 2024
  • Volume: 13(4)
  • Pages: 445–451
  • Title: Various computational methods for highway health monitoring in terms of detection of black ice: a sustainable approach in Indian context
  • Authors: Kumar, V., Singh, R., Gehlot, A., Priyadarshi, N., Twala, B.
  • Journal: Discover Sustainability
  • Year: 2024
  • Volume: 5(1)
  • Article ID: 245
  • Title: The Image Classification Method for Eddy Current Inspection of Titanium Alloy Plate Based on Parallel Sparse Filtering and Deep Forest
  • Authors: Yidan, Z., Zou, H., Li, Z., Singh, R., Abbas, M.
  • Journal: Journal of Nondestructive Evaluation
  • Year: 2024
  • Volume: 43(4)
  • Article ID: 103
  • Title: Unleashing the power of advanced technologies for revolutionary medical imaging: pioneering the healthcare frontier with artificial intelligence
  • Authors: Chauhan, A.S., Singh, R., Priyadarshi, N., Suthar, S., Swami, S.
  • Journal: Discover Artificial Intelligence
  • Year: 2024
  • Volume: 4(1)
  • Article ID: 58
  • Title: Integrating industry 4.0 technologies for the administration of courts and justice dispensation—a systematic review
  • Authors: Bhatt, H., Bahuguna, R., Swami, S., Priyadarshi, N., Twala, B.
  • Journal: Humanities and Social Sciences Communications
  • Year: 2024
  • Volume: 11(1)
  • Article ID: 1076
  • Title: Use of IoT sensor devices for efficient management of healthcare systems: a review
  • Authors: Gopichand, G., Sarath, T., Dumka, A., Priyadarshi, N., Twala, B.
  • Journal: Discover Internet of Things
  • Year: 2024
  • Volume: 4(1)
  • Article ID: 8
  • Title: Detailed-based dictionary learning for low-light image enhancement using camera response model for industrial applications
  • Authors: Goyal, B., Dogra, A., Jalamneh, A., Singh, R., Jyoti Saikia, M.
  • Journal: Scientific Reports
  • Year: 2024
  • Volume: 14(1)
  • Article ID: 17122

 

 

 

Jingcai Yu | Transportation | Best Researcher Award

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Dr. Jingcai Yu | Transportation | Best Researcher Award

lecturer at Xihua University, China

Dr. Jingcai Yu is a dedicated transportation engineer and researcher with expertise in public transportation and traffic safety. He earned his Doctor of Engineering degree from Southeast University’s School of Transportation, where he specialized in travel behavior modeling and transit adoption studies. Currently based at Xihua University in Chengdu, China, Dr. Yu has published extensively in peer-reviewed journals, contributing valuable insights into the effects of attitudes, sociodemographic factors, and traffic conditions on transit and mobility choices. His work addresses emerging challenges in urban mobility, particularly through studies on flexible transit routes and shared autonomous vehicles, highlighting his commitment to advancing sustainable and efficient transportation solutions.

Publication Profile : 

Scopus

 

🎓 Educational Background :

Dr. Jingcai Yu completed his Doctorate in Engineering in Transportation at the School of Transportation, Southeast University, China. His doctoral research focused on public transportation, travel behavior modeling, and traffic safety, areas in which he has since made numerous academic contributions.

💼 Professional Experience :

Dr. Yu is currently based at Xihua University in Chengdu, China, where he holds an academic position. He engages in teaching, research, and academic mentorship, primarily within the field of transportation engineering. Through his role at Xihua University, Dr. Yu applies his expertise in public transit systems, travel behavior analysis, and transportation safety to help address urban mobility challenges. His work includes investigating the factors influencing the adoption of flexible route transit systems, carsharing, and shared autonomous vehicles. Dr. Yu’s research outputs, published in prestigious journals, have significantly contributed to the fields of transportation safety, autonomous vehicle studies, and public transit utilization.

📚 Research Interests : 

Dr. Jingcai Yu’s research interests encompass public transportation systems, travel behavior modeling, and traffic safety. He focuses on innovative transit solutions such as flex-route transit systems, shared autonomous vehicles, and carsharing. His work also investigates factors affecting crash severity and traffic violations, as well as advanced prediction models for urban traffic flow.

📝 Publication Top Notes :

  1. Yu, J., Wang, S., Wang, B., Li, W., & Feng, T. (2024). Effects of COVID-19 on Flex Route Transit Utilization: An Interrupted Time Series Analysis. Research in Transportation Business & Management, 50, 101230.
  2. Yu, J., Li, W., Yin, Z., Zheng, Y., & Guo, R. (2024). Segmenting and exemplifying potential Flex route transit adopters. Transportation Research Record, 2678(9), 791-806. (SCI)
  3. Yu, J., Lin, Q., Ding, H., Li, W., & Feng, T. (2024). Examining individuals’ adoption of flex route transit. Transportation Planning and Technology, 47(7), 996-1021. (SCI)
  4. Yu, J., Li, W., Song, Z., Wang, S., Ma, J., & Wang, B. (2023). The role of attitudinal features on shared autonomous vehicles. Research in Transportation Business & Management, 50, 101032. (SCI)
  5. Yu, J., Wang, S., Ma, J., Song, Z., & Li, W. (2023). Roles of attitudinal factors on the adoption stages of carsharing. Transportation Letters, 16(6), 542-553. (SCI)
  6. Yu, J., Zheng, Y., Li, W., Zhang, J., Guo, R., & Wu, L. (2023). Understanding Flex-Route Transit Adoption from a Stage of Change Perspective. Transportation Research Record, 2677(6), 743-758. (SCI)
  7. Yu, J., Li, W., Zhang, J., Guo, R., & Zheng, Y. (2023). Understanding the effect of sociodemographic and psychological latent characteristics on flex-route transit acceptance. PLOS ONE, 18(2), e0279058. (SCI)
  8. Wang, S., Yu, J.*, & Ma, J. (2023). Identifying the heterogeneous effects of road characteristics on Motorcycle-Involved crash severities. Travel Behaviour and Society, 33, 100636. (SCI)
  9. Ma, J., Ren, G., Li, H., & Yu, J. (2022). Characterizing the differences of injury severity between single-vehicle and multi-vehicle crashes in China. Journal of Transportation Safety & Security, 1-21. (SCI)
  10. Wang, S., Li, Z., Wang, B., & Yu, J. (2022). Velocity obstacle-based collision avoidance and motion planning framework for connected and automated vehicles. Transportation Research Record, 2676(5), 748-766. (SCI)
  11. Zheng, Y., Wang, S., Li, W., & Yu, J. (2022). Urban road traffic flow prediction: A graph convolutional network embedded with wavelet decomposition and attention mechanism. Physica A: Statistical Mechanics and its Applications, 608, 128274. (SCI)
  12. Ma, J., Ren, G., Wang, S., & Yu, J. (2022). Characterizing the effects of contributing factors on crash severity involving e-bicycles: A study based on police-reported data. International Journal of Injury Control and Safety Promotion, 29(4), 463-474. (SCI)
  13. Ma, J., Ren, G., Fan, H., Wang, S., & Yu, J. (2021). Determinants of traffic violations in China: A case-study with a partial proportional odds model. Journal of Transportation Safety & Security, 1-21. (SCI)

 

 

 

ABLA CHAOUNI BENABDELLAH | Engineering | Best Researcher Award

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Assist. Prof. Dr. ABLA CHAOUNI BENABDELLAH | Engineering | Best Researcher Award

BEST RESEARCHER at International University of rabat, Morocco

Abla Chaouni Benabdellah is an Assistant Professor of Supply Chain Management and Information Systems at Rabat Business School, International University of Rabat (UIR). She holds a Ph.D. in Industrial Engineering from Moulay Ismail University, Meknes, and a Master’s in Mathematics and Statistics from Mohamed V University, Rabat. With extensive teaching experience across various institutions including EUROMED University and Private University of Fez, she specializes in project management, risk management, and supply chain strategies.

Publication Profile : 

Scopus

🎓 Educational Background :

  • Ph.D. in Industrial Engineering (2016 – 2019), Moulay Ismail University, ENSAM, Meknes
  • Master in Mathematics and Statistics (2012 – 2014), Mohamed V University, Rabat
  • Bachelor in Applied Mathematics (2009 – 2012), Moulay Ismail University, Faculty of Science, Meknes
  • Baccalaureate in Mathematics (2008 – 2009), Moulay Ismail College, Meknes

💼 Professional Experience :

  • Assistant Professor of Supply Chain Management & Information Systems (Since 2022), Rabat Business School, International University of Rabat (UIR), Rabat
  • Human Resources Consultant (2021), Expert Human Capital (EHC), Casablanca
  • Professor (2020), School of Digital Engineering and Artificial Intelligence (EIDIA), EUROMED University, Fez
  • Professor (2020), Private University of Fez, Fez
  • Seminar Presenter (2020), “Holonic Multi-Agent Systems for Decision Making -Application to Knowledge Management-“, ENSAM, Meknès
  • Doctoral Course Instructor (2019), Statistical Modeling with R Software, ENSAM-Meknès
  • Coordinator (2018), Artificial Intelligence and Data Science Master, SUPMTI, Meknes
  • Professor (2016), Higher School of Management, Telecommunications and IT (SUPMTI), Meknes

📚 Research Interests : 

  • Supply Chain Management
  • Industrial Engineering
  • Digital Supply Chains
  • Blockchain Technology
  • Artificial Intelligence and Data Science
  • Statistical Modeling

📝 Publication Top Notes :

  1. Blockchain Technology in Supply Chains: Discusses blockchain’s role in enhancing digital supply chains and evaluates implementation barriers.
  2. Big Data Analytics in Supplier Selection: Explores a multi-agent system for supplier selection using big data analytics.
  3. Smart Product Design and Digital Agility: Develops an ontology for managing agility in digital product design.
  4. Blockchain and Smart Contracts in Automotive Supply Chains: Examines how blockchain and smart contracts can optimize automotive supply chains.
  5. Medical Waste Management Optimization: A multi-agent system approach for improving medical waste management.
  6. Sustainable Supplier Selection in Circular Economy: Uses an ontology-based model to improve supplier selection under a circular economy framework.
  7. Environmental Supply Chain Risk Management: Proposes a data mining framework for managing supply chain risks in Industry 4.0.
  8. Lean and Green Practices in Supply Chains: Integrates lean and green practices to enhance sustainable and digital supply chain performance.
  9. Digital Technologies and Circular Economy: Investigates how digital technologies support sustainable supply chain management post-COVID-19.
  10. Circular Digital Supply Chain Design: Focuses on sustainable design practices within digital supply chains.
  11. Supplier Selection Ontology: Develops an ontology for effective supplier selection in digital supply chains.
  12. Intersection of Design for X and Business Strategies: Analyzes the integration of design techniques and business strategies for product lifecycle management.
  13. Knowledge Discovery for Sustainability: Discusses methods for enhancing sustainability through knowledge discovery in design processes.