Jinglin Li | Computer Science | Best Researcher Award

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Mr. Jinglin Li | Computer Science | Best Researcher Award

Engineer | China National Nuclear Corporation | China

Li Jinglin is a researcher specializing in intelligent systems, reinforcement learning, and energy-efficient technologies for industrial and service applications. He holds advanced degrees in Instrument Science and Technology, Electrical Engineering, and Vehicle Engineering with a focus on new energy systems. His research encompasses the development of intelligent interactive service technologies for elderly care, optimization of energy-harvesting wireless sensor networks, and multi-task scheduling for energy-secured unmanned vehicles. He has led projects on digital twin platform technologies and vertical displacement control of nuclear fusion plasma, applying deep reinforcement learning to enhance system performance and replace traditional control methods. Li has extensive experience in algorithm design, including MATLAB-based reinforcement learning, adaptive dynamic programming, and multi-level exploration deep Q-network scheduling, with applications in optimal microgrid transmission, mobile charging sequence scheduling, and network monitoring. His work has resulted in multiple first-author publications in high-impact journals covering reinforcement learning, wireless sensor networks, and energy management, as well as conference contributions in control and automation. Beyond his technical expertise, he demonstrates strong analytical, problem-solving, and team collaboration skills, with experience in summarizing complex research findings and implementing practical solutions. Li actively engages in academic presentations and has earned recognition for his research achievements. In addition to his research, he maintains leadership roles in university sports teams, reflecting his commitment to teamwork, discipline, and resilience. His professional approach combines a proactive mindset, logical thinking, and a dedication to advancing intelligent and sustainable technological solutions across both industrial and service domains.

Profile: Scopus

Featured Publications

Li, J. (2024). A deep reinforcement learning approach for online mobile charging scheduling with optimal quality of sensing coverage in wireless rechargeable sensor networks. Ad Hoc Networks, 156, 103431.

Li, J. (2024). A reinforcement learning based mobile charging sequence scheduling algorithm for optimal sensing coverage in wireless rechargeable sensor networks. Journal of Ambient Intelligence and Humanized Computing, 15(6), 2869–2881.

Li, J. (2023). Mobile charging sequence scheduling for optimal sensing coverage in wireless rechargeable sensor networks. Applied Sciences, 13(5), 2840.

Li, J. (2024). A reinforcement learning based mobile charging sequence scheduling algorithm for optimal stochastic event detection in wireless rechargeable sensor networks. IEEE Transactions on Network and Service Management.

Li, J. (2024). A swarm deep reinforcement learning based on-demand mobile charging-scheduling and charging-time control joint algorithm for optimal stochastic event detection in wireless rechargeable sensor networks. Expert Systems with Applications.

Workiye Getnet Abera | Engineering | Young Researcher Award

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Mr. Workiye Getnet Abera | Engineering | Young Researcher Award

Senior Lecturer and Researcher | Debre Tabor University | Ethiopia

Workiye Getnet Abera is a dedicated chemical engineer specializing in modeling, simulation, and optimization, with a strong research focus on biomass-based products, polymer chemistry, and sustainable materials. He has extensive academic experience as a lecturer and researcher, contributing to the advancement of chemical engineering education and leading research initiatives in process engineering and additive manufacturing. His industrial background includes hands-on training in large-scale production environments, where he gained valuable insights into chemical processes and operations. As an active scholar, he has authored several peer-reviewed publications in internationally recognized journals, with contributions spanning biolubricants, bioplastics, and food engineering innovations. His research output includes 5 published documents with 17 citations across 17 citing documents, reflecting the growing impact of his scientific contributions. In addition to his research, he plays a significant role in the scientific community as a reviewer for leading publishers such as Elsevier, Springer, and Taylor & Francis, and serves on the editorial boards of multiple academic journals. His work emphasizes sustainability, resource efficiency, and the development of environmentally friendly technologies, aiming to bridge the gap between industrial application and academic innovation. He is proficient in a wide range of technical software, including Aspen Plus, MATLAB, and ANSYS, and applies advanced optimization and material characterization techniques in his research. Through his teaching, publications, and professional service, he demonstrates a strong commitment to knowledge dissemination, sustainable engineering practices, and the promotion of innovative solutions that address global challenges in energy, materials, and food systems.

Profile: Scopus | Orcid

Featured Publications

Alemu, H., Labena, A. A., Fereja, B. M., Gebreyes, D. A., & Abera, W. G. (2025). Cobalt-polydopamine nanocomposite for efficient removal of Pb(II) and Cd(II) from water: Synthesis, characterization, and adsorption mechanisms. Desalination and Water Treatment. Advance online publication.

Gebreyes, D. A., Alemea, M. T., Robi, A. G., Abera, W. G., & Tenkolu, G. A. (2025). Synthesis, characterization, and optimization of antimicrobial biolubricant derived from Ocimum lamiifolium and lactic acid. Heliyon. Advance online publication.

Gebremedihin, L. B., & Abera, W. G. (2024). Quality assessment of gluten-free sorghum bread prepared with sourdough and the addition of sweet lupin flour. CYTA – Journal of Food. Advance online publication.

Abebe, T. G., & Abera, W. G. (2024). Effect of baking conditions on gluten-free biscuit quality made from groundnut oilseed cake protein isolate and teff flour blends. Cogent Food & Agriculture. Advance online publication.

Abera, W. G., Kasirajan, R., & Majamo, S. L. (2023). Synthesis and characterization of bioplastic film from banana (Musa Cavendish species) peel starch blending with banana pseudo-stem cellulosic fiber. Biomass Conversion and Biorefinery, 13, 7085–7097.

Tawakalitu Odubiyi | Engineering | Best Researcher Award

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Dr. Tawakalitu Odubiyi | Engineering | Best Researcher Award

Research Associate at INTI International University | Malaysia

Dr. Tawakalitu Odubiyi is a Teaching and Research Associate with over six years of international experience spanning Germany, Malaysia, the UK, Finland, South Africa, and Nigeria. She holds a PhD in Civil Engineering from Technische Universität Berlin and a Master’s in Construction Management from the University of Johannesburg. Her expertise lies in Quantity Surveying, Civil Engineering, and the application of Digital Twin and BIM technologies in the built environment.

Profile:

Academic Background

Dr. Odubiyi holds a PhD in Civil Engineering from Technische Universität Berlin, Germany, where her research focused on digital transformation in construction. She also earned a Master of Technology in Construction Management from the University of Johannesburg, South Africa. Her academic background reflects a strong foundation in both technical and managerial aspects of the built environment.

Professional Experience:

Dr. Odubiyi has gained diverse research and teaching experience through various academic and industrial positions. She is currently serving as an Independent Researcher at INTI International University in Malaysia, where she conducts empirical research and leads seminars on sustainable technologies. Previously, she worked as a Research Scientist at Technische Universität Berlin, contributing to projects on business models for Cloud BIM and Digital Twin solutions. Her industry experience includes roles as a BIM Consultant at Bentley Systems in London and a BIM Researcher at Trimble Inc. in Finland, where she developed strategic digital roadmaps and conducted case studies on cost estimation and contract administration. She also served as a Teaching Assistant at the University of Johannesburg and as a Mentor and Lecturer at TU Berlin, demonstrating a strong commitment to student support and academic leadership.

Research and Publications:

Dr. Odubiyi has authored 16 scholarly articles using a mix of qualitative, quantitative, and grounded theory approaches. She has actively presented her findings at international conferences and workshops. Her research focuses on digital transformation in construction, cost management innovation, and the role of BIM in contract and project administration.

Areas of Expertise:

Her core areas of expertise include Quantity Surveying, Construction Management, BIM integration, contract administration (FIDIC, NEC), and curriculum design. She is proficient in BIM tools such as Autodesk Revit, Navisworks, CostX, and Bentley iTwin. She is also experienced in research methodology, grant writing, and academic mentoring across cross-cultural and distance learning environments.

Technical and Professional Skills:

Dr. Odubiyi is skilled in Agile methodologies and tools including Salesforce CRM, Confluence, Jira, Kanban, and BPMN. She has applied these in both academic project management and industry collaborations.

Awards and Recognition:

Dr. Odubiyi has received several prestigious awards, including the Marie Curie Horizon Fellowship from the European Union (2020), the Global Excellence Scholarship from the University of Johannesburg (2019), and the National Research Fellow Bursary (2018). In 2023, she received Community Impact Recognition from the Young Quantity Surveyors of Nigeria for her contributions to the profession.

Citation:

Cited by
All: 141
Since 2020: 132

h-index
All: 8
Since 2020: 8

i10-index
All: 7
Since 2020: 7

Publication Top Notes:

  • Using neural network model to estimate the rental price of residential properties
    2019
    21 citations

  • Strengths, weaknesses, opportunities and threats of virtual team in Nigerian construction industry
    2016
    21 citations

  • Information and communication technology application challenges in the construction industry: A narrative review
    2019
    14 citations

  • A concise review of the evolution of information and communication technologies for engineering innovations
    2021
    13 citations

  • Impact of security on rental price of residential properties: evidence from South Africa
    2019
    13 citations

  • Barriers to implementing quality management system in the Industry 4.0 era
    2019
    12 citations

  • Strategies for building information modelling adoption in the South African construction industry
    2019
    12 citations

  • Impact of Green features on rental value of residential properties: evidence from South Africa
    2024
    8 citations

  • Assessing South African construction worker’s knowledge of modern technologies for effective material management
    2021
    6 citations

  • Evaluation of the use of modern technologies for effective material management in South African construction industry
    2019
    5 citations

  • Bridging the gap between academic and practice Quantity Surveying in Nigerian construction industry
    2019
    5 citations

  • Roles and effects of utilizing recent technologies on material management for construction work in South Africa
    2019
    4 citations

  • Forecasting rental values of residential properties: a neural network model approach
    2020
    3 citations

  • A model validation and predicting the rental values of residential properties using logistic regression model
    2020
    2 citations

  • Information and Communication Technologies for construction services in South Africa: A PROCSA Scope
    2021
    1 citation

  • An Evaluation of Information and Communication Technology Application in South African Construction Industry
    2019
    1 citation

Belal Hamed | Computer Science | Best Researcher Award

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Dr. Belal Hamed | Computer Science | Best Researcher Award

Assistant Lecturer at Department of Computer Science, Faculty of Science, Minia University, Egypt

Belal Ahmed Mohammed Hamed is an Assistant Lecturer at the Department of Computer Science, Faculty of Science, Minia University, and at the Department of Artificial Intelligence, Minia National University, Egypt. He holds a master’s degree in Computer Science, with research expertise in bioinformatics, machine learning, and graph-based disease prediction models. His work focuses on developing advanced algorithms for pattern recognition in DNA sequences and medical data analysis. He has published in Scopus and SCI-indexed journals, and contributed to six research projects, including two funded ones. He also serves as a reviewer for journals such as Scientific Reports and The Journal of Supercomputing. His notable contributions include a high-accuracy Graph Convolutional Network model for Alzheimer’s gene prediction.

Profile:

Academic Background:

Belal holds a Master’s degree in Computer Science. His academic training and research work are rooted in computer science, with a focus on interdisciplinary applications in healthcare and genomics.

Research Areas:

  • Bioinformatics

  • Machine Learning

  • SNP-based Disease Prediction

  • Graph Neural Networks

  • DNA Pattern Matching Algorithms

Research Contributions:

Belal developed a deep learning model that integrates SNP data and Graph Convolutional Networks (GCNs) to predict gene-disease associations, specifically in Alzheimer’s disease. The model achieved 98.04% accuracy and AUROC of 0.996, identifying both known and novel genes. His framework is adaptable for use in other diseases, supporting personalized medicine and clinical research.

Publications & Impact:

  • 4 research papers in SCI/Scopus-indexed journals (Springer Nature, Wiley)

  • Google Scholar Citations: 73

  • h-index: 3

Research & Projects:

  • Participated in 6 research projects, including 2 funded

  • Contributed to 1 industry-academic collaboration in medical data analysis

Editorial Roles:

  • Reviewer for The Journal of Supercomputing, Scientific Reports, and Medical Data Mining Journal

  • Young Scientist – Medical Data Mining Journal

Collaborations:

Active in interdisciplinary research teams, particularly in genomics and artificial intelligence.

Publication Top Notes:

Xifeng Xie | Engineering | Best Researcher Award

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Prof. Xifeng Xie | Engineering | Best Researcher Award

Professor of Electrical Engineering at Southwest Jiaotong University, China

Prof. Xifeng Xie is a Professor at the School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China. He holds B.S. and M.S. degrees in Electrical Engineering from the same university and is currently pursuing a Ph.D. in Energy and Power Engineering. Since 2006, he has been actively engaged in academia and industry, with a professorship at Guangxi Vocational College of Water Resources and Electric Power since 2019. His research focuses on battery chargers, power electronic converters, and reactive power compensators. He has published 8 SCI/Scopus-indexed journal articles, authored 2 books, holds 7 patents, and has led several funded research and industry projects. Prof. Xie’s innovations—such as an isolated resonant voltage balancing circuit—have significantly improved system efficiency and reduced operational costs. He is also a reviewer for Hongshui River Magazine and a member of the Chinese Society for Electrical Engineering.

Profile:

🏛️ Institution & Designation:

Professor, School of Electrical Engineering
Southwest Jiaotong University, Chengdu, China

🎓 Academic Background:

Prof. Xie earned his B.S. and M.S. in Electrical Engineering from Southwest Jiaotong University in 2002 and 2006. He is currently pursuing a Ph.D. in Energy and Power Engineering at the same institution.

👨‍🏫 Professional Journey:

Since 2006, he has served at Guangxi Vocational College of Water Resources and Electric Power and became a full professor in 2019.

⚡ Research Areas:

His research focuses on:

  • 🔋 Battery chargers

  • 🔌 Power electronic converters

  • ⚙️ Reactive power compensators

🧠 Key Contributions:

He has developed an isolated resonant voltage balancing circuit and dead-time compensation strategy, leading to:

  • 🔽 Current unbalance reduced to 2.6%

  • ⚡ Power factor improved to 0.997

  • 🚀 Efficiency increased to 98.2%

  • 💰 Reduced component count and system costs

📊 Research & Innovation:

  • 🧪 Research Projects: 3 completed/ongoing

  • 🏭 Industry Projects: 5

  • 📖 Books Published: 2 (ISBN)

  • 🧾 Patents: 7 (published/under process)

  • 📚 Journals (SCI/Scopus): 8

  • ✍️ Editorial Role: Reviewer, Hongshui River Magazine

🌐 Collaborations & Memberships:

  • 🤝 Collaborator with the National Natural Science Foundation of China

  • 🎓 Distinguished Scholar Program of Guangxi Higher Education Institutions

  • 🔧 Member, Chinese Society for Electrical Engineering

Publication Top Notes:

  1. The Constant Power Transmission Control for Suppressing DC-Link Voltage Ripple Effect of Single-Phase AC–DC–AC Converter
    IEEE Transactions on Power Electronics, August 2025.
    DOI: 10.1109/TPEL.2025.3556470
    Authors: Minyang Zou, Linghui Meng, Jianglin Nie, Jiajin Li, Linzhe Li, Xiao Lv, Cheng Zhang, Xifeng Xie, Zeliang Shu

  2. Predictive Control Method with Conduction Mode Detection to Suppress Input Current Distortion of Three-Level Power Factor Correction
    IET Electric Power Applications, November 2024.
    DOI: 10.1049/elp2.12491
    Authors: Xifeng Xie, Zeliang Shu, Rongxin Chen, Jianghong Yin, Chunxiang Ling