Yunjie Zhao | Biological Networks | Research Excellence Award

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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.

Raquel Martín García | Biological Network | Best Research Article Award

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Dr. Raquel Martín García | Biological Network | Best Research Article Award

Puerta de Hierro University Hospital Majadahonda | Spain

Dr. Raquel Martín García is a highly accomplished neurologist specializing in movement and sleep disorders, with extensive academic and clinical expertise. She earned her Degree in Medicine and Surgery (2010–2016) and is currently pursuing her Doctorate in Medicine and Surgery at the Autonomous University of Madrid. After completing her Neurology specialization at Puerta de Hierro University Hospital (2017–2021), she has since served as a Specialist Physician in the Movement Disorders Unit and the Sleep Unit at leading hospitals and research centers in Madrid, including the Sleep Research Institute and CISNe Comprehensive Sleep and Neuroscience Center. Dr. Martín García holds multiple postgraduate qualifications, including a Master’s in Movement Disorders, expert titles in Headaches and Neurosonology, and advanced certifications in cerebrovascular and hereditary neurological diseases. Her research contributions include several publications in prestigious international journals such as European Journal of Neurology, Brain Sciences, and Epilepsy & Behavior, as well as book chapters for Springer and the Oxford Handbook of Sleep and Sleep Disorders. She has actively presented her work at major neurology conferences, participated as a sub-investigator in numerous Phase II and III clinical trials on Parkinson’s disease and multiple sclerosis, and contributed to teaching and mentoring at the Autonomous University of Madrid. Recognized for her dedication to advancing neurological sciences, she received the STADA Fellowship from the AMN Movement Disorders Group in 2024.

Profiles: Scopus

Featured Publications

"Device-aided therapies (DATs) in Parkinson's disease (PD). The DATs-PD GETM Spanish Registry Protocol Study", Martín García R, Plos One, 2025.

Olalekan Akinsulie | Biological Network | Best Researcher Award

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Dr. Olalekan Akinsulie | Biological Network | Best Researcher Award

Washington State University | United States

Dr. Olalekan Akinsulie is a distinguished researcher with extensive expertise in immunology, molecular biology, and advanced analytical techniques. His proficiency spans tissue and cell culture, bacterial culture, antimicrobial resistance testing, and sophisticated single-cell analyses such as flow cytometry, cell sorting, immunomagnetic cell selection, and immunohistochemistry. He possesses strong molecular cloning skills, expertise in recombinant protein generation and purification through High Performance Liquid Chromatography (HPLC), and advanced competence in Liquid-Chromatography Mass Spectrometry (LC-MS/MS) for protein identification. Dr. Akinsulie is also highly skilled in DNA extraction, PCR-based gene expression analysis, and microscopic imaging using both light and electron microscopy. His research integrates Artificial Intelligence (AI) and bioinformatics tools for disease surveillance, epidemiology, and genomic data interpretation. With robust programming and data analytics skills in R, Python, and Minitab, he effectively develops statistical models and data visualizations. Complementing his scientific expertise, Dr. Akinsulie brings over two decades of experience with Microsoft Office tools, excelling in document management, data analysis, and professional presentations—reflecting his commitment to precision, innovation, and research excellence.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Serological and molecular epidemiology of West Nile, Japanese encephalitis, and tick-borne encephalitis viruses in Africa: a systematic review and meta-analysis'", RO Adesola, FA Ajibade, D Hossain, AB Onoja, ST Agbaje, OC Akinsulie, Discover Viruses, 2025.

"COVID-19 and cholera co-infection and comorbidity in Africa and Asia: a systematic review and meta-analysis", OC Akinsulie, Journal of Global Health Economics, 2025.

"Dermatophilosis: Current Advances and Future Directions", OG Banwo, OC Akinsulie, RO Adesola, OT Jeremiah, Acta Microbiologica Hellenica, 2025.

"Ticks and Tickborne Diseases in Global South Countries: Impact and Implications of Environmental Changes", S Shahzad, OC Akinsulie, I Idris, P Devnath, D Ajagbe, VA Aliyu, Frontiers in Tropical Diseases, 2025.

"Diphtheria in Nigeria: the participatory epidemiology we need", SC Ogunleye, MM Olorunshola, AT Aborode, OC Akinsulie IJS, Global Health, 2024.

Sajid Mehmood | Biological Networks | Best Researcher Award

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Dr. Sajid Mehmood | Biological Networks | Best Researcher Award

Indira Gandhi National Tribal University Amarkantak | India

Dr. Sajid Mehmood is an emerging researcher in the field of nanoscience and chemistry, currently pursuing his Ph.D. (2021–2024) at Indira Gandhi National Tribal University, Amarkantak, Madhya Pradesh — a Central University established by an Act of Parliament, Government of India. He holds an M.Sc. in Chemistry (2017–2019) from Hemvati Nandan Bahuguna Garhwal University, Uttarakhand, and a B.Sc. (2013–2017) from Govt. Degree College, Poonch, affiliated with the University of Jammu, Jammu & Kashmir. His academic excellence and research contributions have been recognized through prestigious honors, including qualifying the national-level GATE examination (2020), receiving the UGC University Fellowship (2021–2024), and earning the IRSD Excellence in Research and Development Award (2025). Dr. Mehmood’s research focuses on nanoparticle synthesis to develop advanced materials with precise structural properties for applications in healthcare, sustainable energy, and agriculture. His work encompasses nanoparticle synthesis using multiple methods, characterization for structural analysis, and exploring applications such as targeted drug delivery, environmental catalysis, sensors, and energy storage. Through his ongoing research, he aims to advance nanomaterial innovation to promote technological growth, sustainability, and national development.

Profiles: Google Scholar

Featured Publications

"A comprehensive review on microbial production and significant applications of multifunctional biomolecules: biosurfactants. N Sharma, YK Ahlawat, AJ Sharma, N Chamoli, M Thakur, A Sharma, Biodegradation, 2025"

"Microbial Enzymes in Industrial Biotechnology: Sources, Production and Significant Applications of Lipases. N Sharma, YK Ahlawat, N Stalin, S Mehmood, S Morya, A Malik, J Nellore, Journal of Industrial Microbiology and Biotechnology, 2025"

"Industrially Significant Extremophiles and Their Unexplored Habitats in Hot Water Springs N Sharma, YK Ahlawat, S Mehmood, AJ Sharma, P Thakur, A Malik, Geomicrobiology Journal, 2025"

"Molecular NiII Complexes as Bifunctional Electrocatalysts for O2 Evolution and Urea Electro‐Oxidation Reaction. N Kumar, L Wagh, S Mehmood, AK Das, TK Ghorai, ChemPlusChem, 2025"

"Effect of ZnMgO 2 nanoparticles used as a nanofertilizer: promoting the growth activities of rice seedlings. Environmental Science: Nano, S Mehmood, N Kumar, A Mansoori, M Mohan, A Kumar, TK Ghorai, 2024"

"Design and Development of Sustainable Cu2 (II)- and Mn2 (III)-Embedded Bifunctional Electrocatalysts: Enhanced Hydrogen and Oxygen Generation. N Kumar, L Wagh, S Mehmood, AK Das, TK Ghorai, Inorganic Chemistry 63, 2024"

"A new copper molybdate-doped aluminium phosphate nanocomposite heterostructure for photoreduction of aqueous 2-NA and 4-NA. TK Ghorai, S Chakraborty, N Satpute, S Mehmood, N Kumar, SK Sahu, Materials Advances, 2023"