Yufei Li | Technological Networks | Research Excellence Award

Prof. Yufei Li | Technological Networks | Research Excellence Award

Tongji University | China

Prof. Yufei Li is a Chief Physician and Associate Professor at Shanghai East Hospital Affiliated to Tongji University, a nationally recognized Grade III comprehensive hospital ranked among the top 5% of public hospitals in China. With extensive clinical and academic experience, Prof. Li specializes in surgical planning, high-quality operative care, and the training and supervision of junior physicians to ensure medical safety and excellence. He also serves as Chief Physician of the Medical Cosmetic Center and Head of the Medical Cosmetic Team at Tongji Hospital Affiliated to Tongji University, the only Grade 3A general hospital in Putuo District. In this role, he has led the establishment of a professional hair transplantation team and advanced a wide range of medical cosmetic procedures, including facial reconstruction, fat filling, and breast augmentation. Prof. Li holds a Doctorate in Clinical Medicine from Southern Medical University and advanced degrees in plastic surgery and clinical medicine from leading medical universities in China.

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Xixu Peng | Biological Network | Research Excellence Award

Prof. Xixu Peng | Biological Network | Research Excellence Award

Hunan University of Science and Technology | China

Prof. Xixu Peng is a distinguished academic and researcher in the field of plant sciences at Hunan University of Science and Technology. He earned his Bachelor’s degree in Biological Education from the College of Life Sciences at Hunan University of Science and Technology (1995–1999) and later completed his Master’s degree in Ecology at Hunan Agricultural University (2002–2005). To further enhance his international research exposure, he served as a Visiting Scholar at The Ohio State University, USA, within the Department of Horticulture and Crop Science and the Center for Applied Plant Sciences (2016–2017). Prof. Peng began his academic career as a Teaching Assistant in 2005 and progressed through the ranks of Lecturer and Associate Professor before being promoted to Professor in 2022. He currently serves as the Head of the Master’s Program in Biological Education. His research focuses on plant resistance physiology and molecular biology, plant–microbe interactions, and the identification and detection of phytopathogenic fungi.

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Anastasia Soultati | Technological Networks | Research Excellence Award

Dr. Anastasia Soultati | Technological Networks | Research Excellence Award

National Centre for Scientific Research (NCSR) “Demokritos” | Greece

Dr. Anastasia Soultati is an Associate Researcher specializing in perovskite, organic, and hybrid optoelectronic materials, with a strong focus on photovoltaic devices, neuromorphic components, and photonic applications. She is currently affiliated with the Department of Electrical and Computer Engineering at Hellenic Mediterranean University, Greece, and Ajman University, UAE. Her research spans bifacial and transparent perovskite photovoltaics for greenhouse and building integration, perovskite-based memristors for neuromorphic computing, and advanced perovskite laser devices. Dr. Soultati has extensive experience in project management, device fabrication, and materials characterization, including thin films, crystals, and photosensitive materials. She has led and contributed to multiple national and international research projects, supported by competitive personal funding and postdoctoral fellowships, addressing sustainable energy, green semiconductor processing, smart packaging, and climate-resilient materials.

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Featured Publications

Strain Relaxation and Multidentate Anchoring in n-type Perovskite Transistors and Logic Circuits
– Nature Electronics, 2024 · 25 Citations
Aggregation-Driven Photoinduced α-C(sp3)-H Bond Hydroxylation/C(sp3)-C(sp3) Coupling of Boron Dipyrromethene Dye in Water Reported by Near-Infrared Emission
– Journal of the American Chemical Society, 2024 · 3 Citations · Open Access
Plasmonic Enhanced OLED Efficiency upon Silver–Polyoxometalate Core-Shell Nanoparticle Integration into the Hole Injection/Transport Layer
– Scientific Reports, 2024 · 3 Citations
Highly Robust Double Memristive Device Based on Perovskite/Molybdenum Oxide-Sulfide Compound Heterojunction System
– Advanced Electronic Materials, 2025 · 1 Citation
Sulfur-Doped ZnO as Cathode Interlayer for Efficient Inverted Organic Solar Cells
– Materials, 2025 · 1 Citation

Imrana Amir | Biological Networks | Excellence in Research Award

Dr. Imrana Amir | Biological Networks | Excellence in Research Award

Department of Zoology University of Mianwali Punjab | Pakistan

Dr. Imrana Amir is an accomplished zoologist and fisheries scientist currently serving as an Assistant Professor in the Department of Zoology at the University of Mianwali, Pakistan. She holds a PhD in Fisheries and Aquaculture from Quaid-i-Azam University, Islamabad, and has extensive research and teaching experience in aquatic biology, fisheries management, and life sciences. Dr. Amir has worked as an IPFP/Postdoctoral Fellow at the University of Okara and has international research exposure as a Visiting PhD Scholar at The Ohio State University, USA, and as a Charles Wallace Visiting Fellow at the University of Glasgow, UK. She has actively contributed to academic capacity building through national faculty development programs and by organizing numerous seminars, conferences, and hands-on training workshops in fisheries, wildlife conservation, and data analysis. Her work reflects strong commitment to research, education, and scientific collaboration.

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Featured Publications

Amjed Ali | Social Networks | Research Excellence Award

Mr. Amjed Ali | Social Networks | Research Excellence Award

Capital University of Science and Technology | Pakistan

Mr. Amjed Ali is an accomplished education management professional with over 12 years of progressive experience in student administration, program development, and stakeholder engagement across large vocational and higher education environments. He has a proven ability to lead multi-site teams, manage complex projects, and drive continuous improvement in student services and academic operations. His expertise spans curriculum design, policy implementation, and accreditation processes, with a strong record of collaboration with international partners such as UNDP, GIZ, the World Bank, and leading Chinese universities. Serving as the institutional focal person for international collaborations and accreditations, he represents organizations with global partners including the International Road Transport Union (IRU) and City & Guilds UK. He is experienced in preparing strategic briefs and presentations for senior leadership and actively contributes to high-level policy and decision-making forums, being widely recognized for his strategic leadership, analytical insight, and commitment to delivering high-quality student experiences through efficient and compliant administrative systems.

Profiles: Orcid

"Space-time processing for inflight broadband connectivity: critical analysis, challenges, and future directions", Frontiers of Information Technology & Electronic Engineering, Amjed Ali; Noor Muhammad Khan, 2025.

 

Karim Abbasian | Photonics | Research Excellence Award

Dr. Karim Abbasian | Photonics | Research Excellence Award

University of Tabriz | Iran

Dr. Karim Abbasian earned his PhD in Optical Integrated Circuit Design from the Faculty of Electrical and Computer Engineering at the University of Tabriz, with a thesis titled “Electromagnetically Induced Transparency (EIT) for Realization of All-Optical Systems.” He also holds an MSc in Electronic Engineering from the Faculty of Electrical Engineering at Tarbiat Modarres University, where he completed his thesis on “On-Line Recognition of Handwritten Farsi Characters,” and a BSc in Electronic Engineering from the Technical and Engineering Faculty of the University of Urumieh. Over his distinguished career, Dr. Abbasian has held multiple leadership roles, including Rector of the University of Bonab (2017–2019), Manager of Technical Affairs and Civil Projects at the University of Tabriz (2015–2017), Vice Dean of the School of Engineering Emerging Technologies (2014–2015), Dean of Faculty at University of Bonab (2002–2005), and Vice Dean of Faculty at University of Bonab (1999–2002). He has been recognized multiple times for his contributions to research and teaching, receiving distinguished researcher awards in 2009, 2011, and 2014, a distinguished teacher award in 2010, and several employment grades for both research and management excellence throughout his career.

Profiles: Scopus | Google Scholar

"Surface plasmon resonance detection of anti-cancer drug flutamide by graphitic carbon nitride/chitosan nanocomposite", H Nasiri, K Abbasian, Scientific Reports 15 (1), 2025.

"Exhaled Breath Analysis (EBA): A Comprehensive Review of Non-Invasive Diagnostic Techniques for Disease Detection", S Mortazavi, S Makouei, K Abbasian, S Danishvar, Photonics 12 (9), 2025.

"Ultrasensitive detection of amlodipine using plasmonic optical fiber sensors enhanced with graphene oxide and chitosan nanocomposite", FT Sedeeq, H Nasiri, K Abbasian, H Khodaei, Scientific Reports 15 (1), 2025.

"Nitrite detection in food samples by surface plasmon resonance in graphitic-carbon nitride/Chitosan nanocomposite", H Nasiri, M Baheri-Fard, K Abbasian, H Khodaei, H, Alipour-Banaei Microchemical Journal, 2025.

"Nitrite detection with trapping in rGO/Fe2O3 composite based on surface plasmon resonance", H Nasiri, K Abbasian, A Nilghaz, Inorganic Chemistry Communications 176, 2025.

Yunjie Zhao | Biological Networks | Research Excellence Award

Prof. Yunjie Zhao | Biological Networks | Research Excellence Award

Central China Normal University | China

Prof. Yunjie Zhao is a distinguished biophysicist who earned his Ph.D. in Biophysics from Huazhong University of Science and Technology in 2012, where he conducted pioneering research on computational prediction of non-coding RNA structures under the mentorship of Prof. Yi Xiao, following his B.S. in Physics from the same institution. He advanced his expertise as a Postdoctoral Research Scientist at The George Washington University with Prof. Chen Zeng, contributing significantly to de novo protein design and bionetwork modeling. Since 2016, he has been a faculty member at Central China Normal University, becoming a full Professor in 2019, and has taught a wide range of courses including Machine Learning, Biophysics, Bioinformatics, Computational Biology, and Physics. Prof. Zhao is an active member of several professional societies, including the Chinese Physical Society and the Biophysical Society of China, and previously the American Physical Society. He serves as an editorial board member for leading journals such as Briefings in Bioinformatics, iScience, Pharmaceuticals, Life, Biomolecules, International Journal of Molecular Sciences, and Scientific Reports, and is a frequent reviewer for top-tier publications including Nature Biotechnology, Nature Reviews Genetics, Nature Machine Intelligence, Nature Communications, and Physical Review Letters. His research contributions are further reflected in multiple granted patents spanning protein–ligand binding site prediction, RNA contact prediction, plant lectin polymerization peptide inhibitors, and protein drug binding pocket prediction, underscoring his impactful contributions to computational biology and biophysics.

Profiles: Scopus | Google Scholar

Featured Publications

"RNA-protein interaction prediction using network-guided deep learning", H Liu, Y Jian, C Zeng, Y Zhao, Communications Biology 8 (1), 2025.

"Advances and Mechanisms of RNA–Ligand Interaction Predictions", C Zhuo, C Zeng, H Liu, H Wang, Y Peng, Y Zhao Life 15 (1), 2025.

"Decoding the effects of mutation on protein interactions using machine learning", W Xu, A Li, Y Zhao, Y Peng, Biophysics Reviews 6 (1), 2025.

"Advances in Methods for Accurate Prediction of RNA–Small Molecule Binding Sites: From Isolated to AI-Integrated Strategies", J Gao, C Zhuo, C Zeng, H Liu, Y Zhao, Pharmaceuticals 18 (10), 2025.

"Ab initio HIV-1 Tat–TAR interactions study using hybrid scoring-enhanced molecular modeling across subtypes", C Zeng, H Wang, J Gao, H Liu, C Zhuo, Y Zhao, Physical Chemistry Chemical Physics 27 (27), 2025.

Peter Ikechukwu Nwaichi | Technological Innovation | Best Researcher Award

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.

Farhad Hossain Sojib | Data Science | Best Researcher Award

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.

Tanyo Tanev | Machine Learning | Best Researcher Award

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.