Hui Wang | Network Resilience | Best Researcher Award

Published on by Network Science

Dr. Hui Wang | Network Resilience | Best Researcher Award

Southwest Jiaotong University | China

Dr. Hui Wang is an Associate Researcher at Southwest Jiaotong University, where he also earned his Doctoral degree after completing his Bachelor’s studies at the University of South China. His research focuses on intelligent control using deep reinforcement learning, data-efficient embodied AI that learns across physical and virtual environments, physics-informed modeling and simulation, and computer-vision-based perception and defect detection. He is proficient in Python (PyTorch/TensorFlow), MATLAB, and C, with extensive experience in data communication and hardware-in-the-loop systems. Dr. Wang has been recognized with major honors, including the Outstanding Doctoral Dissertation Award from Southwest Jiaotong University (2024) and the National Scholarship for Doctoral Degree (2023). He has led and contributed to several national-level research projects, notably developing a physics-informed simulation engine and resilient pantograph control algorithms for the National Natural Science Foundation of China, designing intelligent high-speed railway pantograph systems for the China Postdoctoral Science Foundation, and advancing deep reinforcement learning applications for high-speed rail as part of the Sichuan Science and Technology Plan. His earlier work includes pioneering machine-learning-based monitoring methods for railway catenary components, developing CNN-based detection models, unsupervised learning frameworks, and segmentation-assisted diagnosis tools.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Multi-modal imitation learning for arc detection in complex railway environments",  J Yan, Y Cheng, F Zhang, N Zhou, H Wang, B Jin, M Wang, W Zhang, IEEE Transactions on Instrumentation and Measurement, 2025.

"Research on multimodal techniques for arc detection in railway systems with limited data",  J Yan, Y Cheng, F Zhang, M Li, N Zhou, B Jin, H Wang, H Yang, W Zhang, Structural Health Monitoring, 14759217251336797, 2025.

"CSRM-MIM: A Self-Supervised Pre-training Method for Detecting Catenary Support Components in Electrified Railways", H Yang, Z Liu, N Ma, X Wang, W Liu, H Wang, D Zhan, Z Hu, IEEE Transactions on Transportation Electrification, 2025.

"Assessment of current collection performance of rail pantograph-catenary considering long suspension bridges", X Wang, Y Song, B Lu, H Wang, Z Liu, IEEE Transactions on Instrumentation and Measurement, 2025.

"FENet: A Physics‐Informed Dynamics Prediction Model of Pantograph‐Catenary Systems in Electric Railway", W Chu, H Wang, Y Song, Z Liu, 2025.

Ekrem Bektašević | Tunneling | Best Researcher Award

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Dr. Ekrem Bektašević | Tunneling | Best Researcher Award

University of Tuzla | Bosnia and Herzegovina

Dr. Ekrem Bektašević is an accomplished geotechnical and tunnelling engineer with over two decades of progressive responsibility across major infrastructure, mining, and highway-tunnel construction projects throughout Bosnia and Herzegovina. Beginning his career in 2002 as a Sales Coordinator and later as Head of Stone Fraction and Concrete Production, he advanced into highly specialized technical leadership roles, serving as Technical Manager, Site Manager, Deputy Director, Chief Supervising Engineer, and Chief Geotechnical/Tunnel Superintending Engineer for numerous high-impact projects under FIDIC standards. His expertise spans open-pit coal exploitation, geological exploration, quarry management, service-tunnel construction, underground mining works, and the construction of complex double-tube highway tunnels such as Zenica, Vranduk, Golubinja, and the Kobilja Glava Tunnel. Dr. Bektašević has led and supervised critical works for institutions including RMU Breza, JP Autoceste FBiH, Sarajevo Canton Road Directorate, BBM-Vareš, TIM-Z, and PPG Sarajevo, consistently overseeing quality control, geotechnical compliance, construction documentation, safety planning, contractor coordination, and supervision of large multidisciplinary teams. His long record of managing technically challenging NATM tunnelling operations, ensuring rigorous QA/QC implementation, and directing major civil-engineering undertakings positions him as a distinguished expert and leader in the field of geotechnics, tunnel engineering, and large-scale infrastructure development.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Research on the phenomenon of increasing borehole diameter at the installation of rod anchors in marl using wet technology compared to dry drilling procedure", S Filipović, E Bektašević, K Gutić, N Musa, N Sakić Global Journal of Engineering and Technology Advances, 2025.

"Analysis of surface deformations during excavation of a small overburden tunnel in weak rock masses", MN Bektašević E, Filipović S, Gutić K, Hodžić D Journal of the Faculty of Civil Engineering and Architecture, 2025.

"The role and importance of preventive safety measures at work during the productin and processing of technical stone at the quarry",E Bektašević, K Gutić, M Valjevac, N Sakić, Metallic and ninmetallic materials, 2025.

"Testing the integrity of reinforced concrete piles at the exit portal of the Kobilja Glava tunnel using a non-destructive method", E Bektašević, S Filipović, K Gutić, N Musa e-Zbornik, Electronic Collection of Papers of the Faculty of Civil Engineering, 2025.

"Challenges of Tunnel Support in Low Overburden Zones in Urban Areas-Case Study", E Bektašević, S Filipović, L Crnogorac, K Gutić, Z Požegić, R Tokalić, Applied Sciences, 2025.

Peter Ikechukwu Nwaichi | Technological Innovation | Best Researcher Award

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Dr. Peter Ikechukwu Nwaichi | Technological Innovation | Best Researcher Award

University of Malaysia, Pahang | Malaysia

Dr. Peter Ikechukwu Nwaichi is an accomplished professional with an MSc in Safety, Health, and Environment from Universiti Teknologi Malaysia and a PhD (in view), bringing strong academic depth to his diverse technical expertise. His research interests span Risk Assessment and Risk Management, Oil Well Analysis, Data Analysis, and Waste Management, reflecting a commitment to advancing safety and operational efficiency within industrial environments. Dr. Nwaichi has gained extensive hands-on experience through his work with Weafri Well Services Company, where he contributed to cementing, pumping, corrosion control, and coiled tubing operations. He has also served in key roles at ACM of Nigeria as a Safety Officer, Material Coordinator, and Designer, demonstrating versatility and a strong track record in ensuring safe, efficient, and sustainable work processes across the energy and industrial sectors.

Profiles: Google Scholar

Featured Publications

"Numerical simulation of microbial biohydrogen production under high-pressure, high-temperature conditions for enhanced recovery from depleted reservoirs", D Abutu, PI Nwaichi, C Umunnawuike, F Nyah, B Money, HW Yussof, Petroleum Research, 2025

"Nanoparticles transport in porous media during EOR operations: A Wide-Ranging review of mechanisms, mathematical models, influencing parameters, challenges, and prospects", EN Ngouangna, IB Dzulkarnain, MZ Jaafar, JO Oseh, FA Afolabi, Arabian Journal for Science and Engineering, 2025.

"Biohydrogen production for sustainable energy transition: a bibliometric and systematic review of the reaction mechanisms, challenges, knowledge gaps and emerging trends", C Umunnawuike, SQA Mahat, PI Nwaichi, B Money, A Agi Biomass and bioenergy, 2024.

"Recent advances and prospects on retarder application in oilwell cement: A review", PI Nwaichi, N Ridzuan, EO Nwaichi, C Umunnawuike, A Agi Geoenergy Science and Engineering 241, 2024.

"Comprehensive review on the role of salinity on oil recovery mechanisms during chemical flooding", F Nyah, N Ridzuan, PI Nwaichi, C Umunnawuike, A Agi Journal of Molecular Liquids 415, 2024.

Emmanuel Dogara Musa | Mineral Processing | Best Researcher Award

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Mr. Emmanuel Dogara Musa | Mineral Processing | Best Researcher Award

University of Tasmania | Australia

Emmanuel Dogara Musa is an experienced and results-driven metallurgist with over a decade of progressive expertise in mineral processing, extractive metallurgy, and metallurgical plant optimization. He is currently pursuing a PhD in Earth Sciences (Minerals Processing) at the University of Tasmania, where his research focuses on critical mineral processing of scheelite and the beneficiation of complex skarn ores at Tasmania Mines. With extensive hands-on experience in metallurgical testing, process modelling, and plant operations, he brings strong analytical capabilities and a deep commitment to sustainable resource development.

Profiles: Orcid

Featured Publications

"Coarse Froth Flotation to Optimise Scheelite Recovery",  Emmanuel Dogara Musa; Julie Hunt; Mohammadbagher Fathi; Owen P. Missen; Greg Doherty; Marcus Mollison, Minerals, 2025.

Yeggi Darnas | Climate Action | Best Researcher Award

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Mrs. Yeggi Darnas | Climate Action | Best Researcher Award

Bandung Institute of Technology | Indonesia

Yeggi Darnas is an environmental engineering professional with over 15 years of academic and practical experience specializing in solid waste management, water supply systems, and environmental documentation. His expertise spans waste management design and construction, training and mentoring programs, and academic studies for the establishment of UPTD Solid Waste units. He has contributed extensively to water supply projects, including Master Plans for Drinking Water Supply Systems, Detailed Engineering Designs (DED), and environmental assessments. His recent work includes designing a wastewater treatment plant for shrimp ponds in NTT (August–October 2024) and developing an Integrated Solid Waste Processing Facility for Central Bangka District, Bangka Belitung Province (September–December 2024). He was also invited by Itra to participate in the Tanween Mega Challenge: Enriching the Pilgrim’s Journey, held from November 29 to October 3, 2024, reflecting his growing recognition within the field.

Profiles: Scopus | Google Scholar

Featured Publications

"The effectiveness of cow manure in remediation of top soil contaminated by engine oil waste", H Yahya, AM Hamdan, T Marlina, Y Darnas, TM Ashari, Cleaner Waste Systems, 2025.

"Food waste reduction efforts in reducing greenhouse gas emissions and the impact of climate change: A review", Y Darnas, E Sembiring, B Rahardyan, Sustainable Chemistry for Climate Action, 2025.

"Comparative analysis of HHV and LHV values of biocoke fuel from palm oil mill solid waste ", A Gani, H Desvita, E Munawar, R Mamat, M Nizar, Y Darnas, RE Sarjono, Case Studies in Chemical and Environmental Engineering, 2024.

"Analysis of combustion characteristics and chemical properties for biocoke fuel", A Gani, M Faisal, H Desvita, MA Kinan, I Khair, Y Darnas, R Mamat, Energy Geoscience 5 (4), 2024.

"Konversi Limbah Biomassa Tandan Kosong Sawit menjadi Energi Panas", A Gani, M Faisal, M Nizar, Y Darnas, Jurnal Serambi Engineering 9 (1), 2024.

Haichen Zhou | Steelmaking | Best Researcher Award

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Dr. Haichen Zhou | Steelmaking | Best Researcher Award

China Iron & Steel Research Institute Group Co., Ltd. | China

Dr. Haichen Zhou received his Ph.D. from the University of Science and Technology Beijing (USTB) and currently serves as a Senior Quality Engineer and researcher at the Automation Research and Design Institute of Metallurgical Industry Co., Ltd., under the China Iron & Steel Research Institute Group. He is recognized for his expertise in inclusions control technology in liquid steel, steel slab quality control, and both physical and numerical simulation of metallurgical processes, as well as applications of artificial intelligence in metallurgy. Dr. Zhou has contributed significantly to the field through the publication of 15 research papers in leading metallurgical journals, including MMTB, ISIJ International, Steel Research International, Ironmaking & Steelmaking, and MRT.

Profiles: Orcid

Featured Publications

"Optimisation of degradation strategy of transition steel slabs in continuous casting of thin size automotive panel", Haichen Zhou; Xiaoxuan Deng; Xin Wang; Haibo Li; Chenxi Ji; Caide Huang; Congcong Zhang; Yue Liu, Ironmaking & Steelmaking: Processes, Products and Applications, 2025.

"Mathematical Simulation and Industrial Implications of Swirling Gas-Solid Distributor in the Bottom-Blowing O2–CaO Steelmaking Converter Process", Haichen Zhou; Wenliang Dong; Haibo Li; Shunkuan Guan; Changliang Zhao; Chenxi Ji; Guohui Ding; Kai Dong, Metallurgical and Materials Transactions B, 2025.

"Development of Ca‐Containing Ferrosilicon Instead of Ca Treatment in High Silicon Steels during Ladle Refining", Haichen Zhou; Zhaojun Yang; Jingang Liu; Xiaoxuan Deng; Lei Zhou; Ning Hao; Haibo Li; Baisong Liu, Steel Research International, 2025.

"Mathematical modeling of the effect of SEN outport shape on the bubble size distribution in a wide slab caster mold", Haichen Zhou; Wenyuan He; Chenxi Ji; Xiaoshan Yang; Haibo Li; Wenliang Dong; Liubing Jia; Baisong Liu, JACC: Metallurgical Research & Technology, 2024.

"Optimization of Vortex Slag Entrainment during Ladle Teeming Process in the Continuous Casting of Automobile Outer Panel", Haichen Zhou; Haibo Li; Xiaoxuan Deng; Baisong Liu; Chenxi Ji; Bin Chen; Chong Wang; Changliang Zhao, Steel Research International, 2024.

Marco Cirillo | Interactive Analytics | Best Researcher Award

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Dr. Marco Cirillo | Interactive Analytics | Best Researcher Award

Non-Profit Polyambulance Foundation | Italy

Dr. Marco Cirillo is a distinguished cardiac surgeon whose career seamlessly bridges clinical excellence and experimental research. After completing classical studies, he graduated in Medicine and Surgery with highest honors  from the University of Bologna and specialized in Cardiac and Great Vessels Surgery. His career has encompassed leadership roles as Head of the Cardiac Surgery Unit in Bologna for six years and the Heart Failure Surgery Unit in Brescia for twelve years. With expertise spanning the full range of traditional cardiac surgery-including mitral repair, coronary bypass, valve replacement, and aortic arch procedures-Dr. Cirillo has performed over 8,000 surgeries as first surgeon. His innovative contributions include the KISS procedure for physiological left ventricular reconstruction, the “Arterial-source No-touch Aorta” technique for off-pump coronary revascularization, and the NINFEA method for annular stabilization in endocarditis. Renowned for his commitment to quality and risk management (JCI accreditation), he continues to advance the field through research on bioprostheses and ventricular assist systems, recognized internationally through publications and awards. In 2025, he earned a Master’s degree in Echocardiography from the University of Verona. Beyond medicine, his intellectual pursuits extend to writing, photography, and cosmology, where he recently published a paper exploring Darwinian natural evolution as applied to the development of the Universe.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Achilles and the Tortoise: Rethinking Evidence Generation in Cardiovascular Surgery and Interventional Cardiology", Marco Cirillo, Hearts, 2025.

"Abiotrophia defectiva and Granulicatella: A Literature Review on Prosthetic Joint Infection and a Case Report on defectiva PJI and Concurrent Native Valve Endocarditis", MCristina Seguiti; Edda Piacentini; Angelica Fraghì; Mattia Zappa; Elia Croce; Angelo Meloni; Marco Cirillo; Clarissa Ferrari; Chiara Zani; David Belli et al., Microorganisms, 2025.

"Finger ischemia in a young lady: an unusual presentation of papillary fibroelastoma with intraventricular location", Matteo Pernigo; Elisabetta Dinatolo; Marco Cirillo; Zean Mhagna; Alida Filippini; Fabiana Cozza; Marco Berti; Roberto Bazzani; Tony Sabatini; Claudio Cuccia et al., Monaldi Archives for Chest Disease, 2023.

"Exploring Personal Protection During High-Risk PCI in a COVID-19 Patient", Marco Cirillo, JACC: Case Reports, 2020.

Farhad Hossain Sojib | Data Science | Best Researcher Award

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Mr. Farhad Hossain Sojib | Data Science | Best Researcher Award 

University of Hull | Bangladesh

Mr. Farhad Hossain Sojib is an engineer with a strong foundation in electronics and communication engineering and a growing specialization in data science and artificial intelligence. He is currently pursuing his M.Sc. in Artificial Intelligence and Data Science at the University of Hull, United Kingdom, following the completion of his B.Sc. in Engineering from Hajee Mohammad Danesh Science and Technology University, Bangladesh, where he conducted notable research on explainable AI in educational data mining and machine learning applications in 5G antenna optimization. With professional experience as an IELTS Instructor at Lexicon Plus, he has trained over 50 students, developed course materials, and mentored junior instructors. His leadership and organizational skills were further demonstrated through his role as a Program Committee Member at the IEEE Student Branch, HSTU, where he managed events, seminars, and competitions. Additionally, his internship at BRACNet Limited provided hands-on experience in ISP operations, ICT technologies, and server management. Farhad combines his technical expertise, research acumen, and collaborative mindset to contribute meaningfully to the fields of machine learning and data-driven innovation.

Profiles: Orcid 

Featured Publications

"The integration of explainable AI in Educational Data Mining for student academic performance prediction and support systems", Md. Mahmudul Islam; Farhad Hossain Sojib; Md. Fazle Hasan Mihad; Mahmudul Hasan; Mahfujur Rahman, Telematics and Informatics Reports, 2025.

"A Bioinformatics Approach to Uncover Hub Genes and Potential Drug Targets of Stroke, Heart-Disease, Hyperglycemia, and Hypertension", Md. Emran Biswas; M D. Fazle Hasan Mihad; Farhad Hossain Sojib; Mohammad Jubair Ahmmed; M D Galib Hasan; Md. Jobare Hossain; Md. Abul Basar; Md. Mehedi Islam; Md. Delowar Hossain; Md. Selim Hossain et al., 27th International Conference on Computer and Information Technology (ICCIT), 2024.

"An Explainable Educational Data Mining System for Predicting Student Academic Performance", Md. Mahmudul Islam; Farhad Hossain Sojib; Md. Fazle Hasan Mihad; Mahmudul Hasan; Mahfujur Rahman; FARHAD HOSSAIN SOJIB, 2024 IEEE International Conference on Signal Processing, Information, Communication and Systems, 2024.

Probal Banerjee | Biological Network | Best Researcher Award

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Dr. Probal Banerjee | Biological Network | Best Researcher Award

The College of Staten Island (City University of New York) | United States

Dr. Probal Banerjee is a distinguished biochemist and neuroscientist whose academic and research career spans over four decades of excellence in bioorganic chemistry, molecular neuroscience, and cancer research. He earned his B.Sc. in Chemistry (Hons) and M.Sc. in Organic Chemistry from Jadavpur University, Calcutta, followed by a Ph.D. in Bioorganic Chemistry from the Indian Institute of Science, Bangalore in 1984. He completed postdoctoral research at the University of Notre Dame in Biochemistry and Enzymology and at the University of Chicago in Molecular Neuroscience. Currently a Professor of Chemistry and Coordinator at the Center for Developmental Neuroscience, College of Staten Island, CUNY, Dr. Banerjee has made pioneering contributions to understanding neurodevelopmental signaling and immune-modulating cancer therapies. His numerous honors include the Children’s Research Foundation Grant (1989), Brain Research Foundation Award, and two Dolphin Awards for Academic Excellence and Teaching. A sought-after speaker, he has delivered invited lectures at leading institutions worldwide on topics ranging from serotonin signaling in brain development to multi-target cancer therapeutics. Dr. Banerjee is also an inventor with several patents on curcumin-based anticancer agents and therapeutic approaches for Fragile X Syndrome. His expertise is widely recognized through his service on multiple NIH grant review committees, reflecting his enduring impact on neuroscience, pharmacology, and translational cancer research.

Profiles: Orcid 

Featured Publications

"Novel Taxol-Derivative, STO-1, Induces Selective Anti-Tumor Immunity and Sustained Remission of Glioblastoma Without Triggering Autoimmune Reactions", Shubhasmita Mohapatra; Adrian Guerrero; Neha Rahman; Khondoker Takia Zaman; Jing Wu; Callistus Onyeagba; Chanyue Hu; Matteo Pellegrini; Jayaram Vankudoth; Seiya Kitamura et al., Cells, 2025.

"One-Pot Synthesis of Phenylboronic Acid-Based Microgels for Tunable Gate of Glucose-Responsive Insulin Release at Physiological pH", Prashun G. Roy; Jiangtao Zhang; Koushik Bhattacharya; Probal Banerjee; Jing Shen; Shuiqin Zhou, Molecules, 2025.

"Biocompatible Anisole-Nonlinear PEG Core–Shell Nanogels for High Loading Capacity, Excellent Stability, and Controlled Release of Curcumin", Jing Shen; Jiangtao Zhang; Weitai Wu; Probal Banerjee; Shuiqin Zhou, Gels 2023.

"The G Protein-Coupled Serotonin 1A Receptor Augments Protein Kinase Cε-Mediated Neurogenesis in Neonatal Mouse Hippocampus-PKCε-Mediated Signaling in the Early Hippocampus", Sreyashi Samaddar; Sudarshana Purkayastha; Souleymane Diallo; Subramanyam J. Tantry; Ryan Schroder; Pranavan Chanthrakumar; Michael J. Flory; Probal Banerjee, International Journal of Molecular Sciences 2022.

"Phytosomal curcumin causes natural killer cell-dependent repolarization of glioblastoma (GBM) tumor-associated microglia/macrophages and elimination of GBM and GBM stem cells", Sumit Mukherjee; Angela Fried; Rahman Hussaini; Richard White; Juliet Baidoo; Sri Yalamanchi; Probal Banerjee, Journal of Experimental & Clinical Cancer Research, 2018.

Tanyo Tanev | Machine Learning | Best Researcher Award

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Mr. Tanyo Tanev | Machine Learning | Best Researcher Award

Technical University of Sofia | Bulgaria

Tanyo Tanev appears to be a highly suitable candidate for the Best Researcher Award. His exceptional blend of technical expertise, academic pursuit, and professional achievements in the renewable energy and electrical engineering domains clearly demonstrates research excellence and innovation. As a Ph.D. candidate at the Technical University of Sofia, he has published five scientific papers and is working on additional studies focused on photovoltaic (PV) power plants and the application of machine learning and deep learning models in energy systems-fields of growing global importance. Professionally, he has led the design and development of large-scale PV power plants worldwide, managing complex engineering, optimization, and data-driven simulation tasks. His strong background in Autocad, PVcase, PVsyst, Python, and AI frameworks like TensorFlow and Keras, combined with managerial experience and creative problem-solving, highlights his research-driven approach to technological advancement. Tanyo’s ability to merge academic knowledge with practical innovation, leadership in renewable energy projects, and continuous pursuit of scientific progress make him an outstanding contender for the Best Researcher Award.

Profiles: Scopus

Featured Publications

"Modeling of Battery Storage of Photovoltaic Power Plants Using Machine Learning Methods", T. Tanev and R. Stanev, Energies, 2025.