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.

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.

María Eugenia Marín Martínez | Biological Network | Women Researcher Award

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Dr. María Eugenia Marín Martínez | Biological Network | Women Researcher Award

Infanta Cristina University Hospital | Spain

Dr. María Eugenia Marín Martínez is a distinguished specialist in Obstetrics and Gynecology with a Bachelor’s degree in Medicine from the University of Valladolid and extensive experience across leading hospitals in Madrid, including Puerta de Hierro Majadahonda University Hospital and Infanta Cristina University Hospital. Dedicated to advancing women’s health at every stage of life, she has been deeply involved in the prevention, diagnosis, and treatment of gynecological conditions. Her professional journey reflects a strong commitment to excellence, having contributed to the development of clinical protocols, particularly during the COVID-19 pandemic, and spearheaded pioneering work in the field of uterine fibroid management through radiofrequency ablation-performing over 200 procedures and establishing her center as a national and international reference. Dr. Marín is pursuing her doctoral thesis on radiofrequency ablation at the Autonomous University of Madrid, with expected defense in 2026. She actively participates in multidisciplinary committees on breastfeeding, gender violence, and chronic pelvic pain, and contributes to humanitarian medical missions in Cameroon. A dedicated educator and researcher, she has authored multiple peer-reviewed publications, book chapters, and clinical guides, while also directing international training courses in gynecological radiofrequency treatment. Through her leadership, innovation, and compassionate care, Dr. Marín continues to play a vital role in advancing obstetric safety, women’s health, and medical education in Spain and beyond.

Profiles: Scopus

Featured Publications

"Transvaginal radiofrequency ablation: a therapeutic option for managing symptomatic uterine fibroids in women with reproductive desires",Maria Eugenia Marin Martinez, F and S Reports, 2024.

Milton Mondal | Mathematical Modelling | Best Researcher Award

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Dr. Milton Mondal | Mathematical Modelling | Best Researcher Award

Amrita Vishwa Vidyapeetham, Coimbatore | India

Dr. Nikhil Sudhir Sathe (PhD), currently associated with Laboratory Animal Research Services (LARS), is a distinguished researcher with over 20 years of expertise in drug discovery and preclinical evaluation of new chemical entities. His extensive professional experience encompasses in vitro genotoxicology, cell and microbial culture (aerobic, anaerobic, and viral systems including rabies virus), and small laboratory animal studies. Throughout his career at Reliance Life Sciences, Vimta Labs, Dabur Research Centre, and Wockhardt Research Centre, Dr. Sathe has demonstrated exceptional proficiency in GLP-compliant laboratory practices, including bacterial reverse mutation, chromosomal aberration, micronucleus, ELISA, cytotoxicity, and microbial monitoring assays. His early research contributions involved innovative in vitro models for evaluating the efficacy of antimicrobial and cosmetic products. Academically, he holds a Master’s and Bachelor’s degree in Microbiology from Shivaji University, Kolhapur, both with distinction. Dr. Sathe has contributed significantly to scientific literature with publications in reputed journals such as Vaccine, Microbial Pathogenesis, Infectious Medicine, and BioMed, focusing on bacteriophage therapy and vaccine development against multidrug-resistant pathogens and SARS-CoV-2. His scholarly achievements are complemented by active participation in national conferences and workshops, reflecting his deep commitment to advancing microbiological and biomedical research.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Dynamics of a phytoplankton–zooplankton model with three-dimensional patch under the impacts of hydrodynamic conditions", M Mondal, CS Rao, T Zhang, Mathematics and Computers in Simulation, 2025.

"Bloom dynamics under the effects of periodic driving forces", M Mondal, T Zhang, Mathematical Biosciences, 2025.

"Mathematical Modelling and Analysis of Harmful Algal Bloom", M Mondal, Bulletin of the Australian Mathematical Society, 2024.

Nikhil Sudhir Sathe | Biological Networks | Best Researcher Award

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Dr. Nikhil Sudhir Sathe | Biological Networks | Best Researcher Award

Reliance Life Sciences Pvt Ltd | India

Dr. Nikhil Sudhir Sathe (PhD), currently associated with Laboratory Animal Research Services (LARS), is a distinguished researcher with over 20 years of expertise in drug discovery and preclinical evaluation of new chemical entities. His extensive professional experience encompasses in vitro genotoxicology, cell and microbial culture (aerobic, anaerobic, and viral systems including rabies virus), and small laboratory animal studies. Throughout his career at Reliance Life Sciences, Vimta Labs, Dabur Research Centre, and Wockhardt Research Centre, Dr. Sathe has demonstrated exceptional proficiency in GLP-compliant laboratory practices, including bacterial reverse mutation, chromosomal aberration, micronucleus, ELISA, cytotoxicity, and microbial monitoring assays. His early research contributions involved innovative in vitro models for evaluating the efficacy of antimicrobial and cosmetic products. Academically, he holds a Master’s and Bachelor’s degree in Microbiology from Shivaji University, Kolhapur, both with distinction. Dr. Sathe has contributed significantly to scientific literature with publications in reputed journals such as Vaccine, Microbial Pathogenesis, Infectious Medicine, and BioMed, focusing on bacteriophage therapy and vaccine development against multidrug-resistant pathogens and SARS-CoV-2. His scholarly achievements are complemented by active participation in national conferences and workshops, reflecting his deep commitment to advancing microbiological and biomedical research.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Unveiling Lytic Bacteriophages as Promising Biotherapeutics for the Control of Multidrug-Resistant Pseudomonas aeruginosa", CS Nikhil Sathe, Eugene Athan, Arnab Kapat, BioMed, 2025.

"Safety, immunogenicity and efficacy of Relcovax®, a dual receptor binding domain (RBD) and nucleocapsid (N) subunit protein vaccine candidate against SARS-CoV-2 virus", N Sathe, S Shaikh, M Bhavsar, L Parte, A Gadiparthi, S Kad, S Sensarma, Vaccine, 2024.

"Bacteriophage vB_kpnS-Kpn15: Unveiling its potential triumph against extended-spectrum beta-lactamase-producing Klebsiella pneumoniae-Unraveling efficacy through innovative", N Sathe, C Suphioglu, E Athan, A Kapat, Microbial Pathogenesis, 2024.

"Pseudomonas aeruginosa: Infections and novel approaches to treatment “Knowing the enemy” the threat of Pseudomonas aeruginosa and exploring novel approaches to treatment", N Sathe, P Beech, L Croft, C Suphioglu, A Kapat, E Athan, Infectious medicine 2, 2023.

"Development of a novel therapy using bacteriophages: An alternative to antibiotics", NS Sathe, Deakin University, 2023.

Vanissorn Vimonsatit | Construction | Best Research Article Award

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Dr. Vanissorn Vimonsatit | Construction | Best Research Article Award

Macquarie University | Australia

Dr. Vanissorn Vimonsatit is a distinguished structural engineer and researcher with a PhD in Structural Engineering from UNSW, an MEng from AIT, Thailand, and a BEng from Kasetsart University. A member of the Concrete Institute of Australia (CIA) and the American Concrete Institute (ACI), she has over a decade of professional engineering experience and a strong record of leadership in research and industry collaboration. Currently serving as the Community of Practice Manager for Sustainable Concrete, Engineered Solutions, and Asset Management at SmartCrete CRC, Dr. Vimonsatit also holds key international roles, including Director of the Bridge Engineering Institute (USA), Regional Representative for Australasia at ISEC, and Vice President of the ASEA-SEC Conference Series. Her research focuses on multiscale characterization of porous solids, low-carbon concrete development, and the integration of graphene and supplementary cementitious materials to enhance performance and sustainability. She has successfully led ARC-funded projects and multiple industry collaborations that have translated laboratory innovations—such as graphene-enhanced and mine tailing-based concretes-into pilot-scale demonstrations and commercial guidelines. A recipient of the CSIRO ON Prime Performance Award (2017), she has been instrumental in bridging the gap between research and practice, guiding projects from innovation to industrial adoption. As Lead Entrepreneur, she applies her expertise in stakeholder engagement, market validation, and technology transfer to advance sustainable, high-performance concrete solutions for the global construction industry.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"A Systematic Approach for Selection of Fit-for-Purpose Low-Carbon Concrete for Various Bridge Elements to Reduce the Net Embodied Carbon of a Bridge Project", HK Srivastava, V Vimonsatit, SM Clark, Infrastructures, 2025.

"Compressive strength, flexural strength, and slump of recycled aggregate fibre-reinforced fly ash concrete using explainable extreme gradient boosting machine learning model", A Abushanab, V Vimonsatit, Powder Technology, 2025.

"Inverse analysis for dynamic characteristics of a historic Masonry Pagoda using segmental low-amplitude earthquake vibrations", C Hansapinyo, C Buachart, C Sinsabvarodom, W Tantrapongsaton, Heritage Science, 2025.

"Micro-Modeling of Polymer–Masonry Wall Composites Under In-Plane Loading", H Hernoune, Y Ouldkhaoua, B Benabed, R Abousnina, V Vimonsatit, Journal of Composites Science, 2025.

"Design Interaction Diagrams for Shear Adequacy Using MCFT-Based Strength of AS 5100.5-Advantages of Using Monte Carlo Simulation", KW Wong, V Vimonsatit Preprints, 2025

Sharif Iraqu | Material Science | Best Researcher Award

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Dr. Sharif Iraqu | Material Science | Best Researcher Award

Indira Gandhi National Tribal University | India

Dr. Sharif Iraqu is a dedicated researcher and academician in the field of Chemistry, currently serving as a Guest Lecturer at the Department of Chemistry, Naveen Government Girls College, Pendra Road, Chhattisgarh. He completed his Ph.D. in Chemistry from Indira Gandhi National Tribal University (a Central University established by an Act of Parliament, Government of India), Amarkantak, Madhya Pradesh, with his doctoral thesis focusing on “Selectivity in metal ion sensing and dye degradation capabilities of chalcopyrite and cadmium sulfide nanoparticles.” He also holds an M.Sc. (2020) and B.Sc. (Hons.) (2018) in Chemistry from the same university. Dr. Iraqu has contributed as a Project Associate at Indira Gandhi National Tribal University under a project funded by the Inter-University Accelerator Centre (IUAC), Delhi, and has been recognized with prestigious fellowships, including the UGC-University Fellowship (2021–2023) and IUAC Project Fellowship (2023–2024). His research primarily centers on the synthesis and characterization of nanomaterials with enhanced functionalities for environmental applications, such as wastewater treatment and pollutant removal. His work encompasses photocatalytic dye degradation, heavy metal ion sensing, insecticide detection, and theoretical studies using Density Functional Theory (DFT) to explore molecular interactions and reactivity. Dr. Iraqu’s future research aims to design functional semiconductor nanomaterials and heterojunction architectures for efficient water purification, environmental remediation, and large-scale photocatalytic applications, bridging theoretical insights with experimental advancements for sustainable technological solutions.

Profiles: Orcid 

Featured Publications

"Bi-functional aqueous starch capped CdS quantum dots synthesis and their application as sensor of heavy metal-ions as well as photocatalytic dye degradation, Journal of Molecular Liquids, Sajiya Iraqui; Arati Dubey; Irudhayaraj Savarimuthu; Ajay Shankar; Adhish Jaiswal; Indra Bahadur; Imran Uddin; Faruq Mohammad, 2023"

Sagir Muhammad Ahmad | Network Security | Best Researcher Award

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Mr. Sagir Muhammad Ahmad | Network Security | Best Researcher Award

Cranfield University, Cranfield | United Kingdom

Mr. Sagir Muhammad Ahmad is an ambitious and dedicated researcher with strong expertise in simulation, mathematical modeling, and hardware security of IoT devices. He is currently pursuing a PhD in Transport Systems at Cranfield University, UK, focusing on “Trusted Drones for Infrastructure Testing.” His research aims to develop scalable, lightweight, and tamper-resilient trust mechanisms for drone swarms operating in decentralized and adversarial environments, integrating MATLAB/SIMULINK simulations and Python-based algorithms to ensure security, scalability, and defense against attack models. With a Distinction in MSc Engineering Management from the University of Greenwich, UK, and a BSc in Marine Engineering from the Arab Academy for Science, Technology and Maritime Transport, Egypt, he has built a strong multidisciplinary foundation. His academic achievements are complemented by professional experience with the Nigerian Ports Authority, where he served under the ICT Department, and hands-on sea training aboard the Aida 4 vessel in Alexandria, Egypt. Known for his hardworking, sociable nature and passion for collaboration across cultures, Mr. Ahmad aspires to contribute to academia and industry through innovative research and real-world engineering applications.

Profiles: Orcid

Featured Publications

"Building Trust in Autonomous Aerial Systems: A Review of Hardware-Rooted Trust Mechanisms"

Ivan Marović | Project Management | Best Researcher Award

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Dr. Ivan Marović | Project Management | Best Researcher Award

University of Rijeka, Faculty of Civil Engineering | Croatia

Dr. Ivan Marović, a distinguished academic at the University of Rijeka, Faculty of Civil Engineering, has dedicated over twenty years to advancing research and education in the field of civil engineering, progressing from research assistant to full professor. His expertise lies in Project Management, particularly in management information systems, multi-criteria decision analysis, and soft computing methods. A recipient of numerous prestigious awards-including the Best Doctoral Thesis Award from the Croatian Association of Civil Engineers, the Vera Johanides Award from the Croatian Academy of Technical Sciences, the UNIRI Foundation Award for young interdisciplinary scientists, several scientific and teaching awards from UNIRI and GRADRI, and the Global Peer Review Award (Clarivate Analytics) for ranking among the top 1% of reviewers globally in Environment and Ecology as well as Cross-Field-Dr. Marović has made remarkable contributions to both academia and research innovation. His current and past research projects span critical areas such as climate change adaptation for coastal structures, performance management in construction using soft computing, artificial intelligence applications in project planning, and sustainable urban management. Notable projects include COS, GAIA COFUND, PerfMAN, CRESCO Adria, and DSC4SUM, among others, all under the aegis of prestigious funding schemes such as Horizon Europe, INTERREG V-A Italy–Croatia, and the University of Rijeka’s Experienced Researchers Grant Scheme. Through his interdisciplinary research and leadership, Dr. Marović continues to shape innovative methodologies that enhance the resilience, efficiency, and sustainability of civil engineering practices.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Application of multi-criteria decision-making methods in the selection of a sustainable solution in urban planning"

"Hybrid urban block: The end outcome of the city's filling and extension"

"The Role of the Built Environment in Achieving Sustainable Development: A Life Cycle Cost Perspective"

"Making Informed Choices: AHP and SAW for Optimal Formwork System Selection"

"Understanding and Quantifying the Impact of Adverse Weather on Construction Productivity"

Kumail Abbas | Technological Networks | Best Researcher Award

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Dr. Kumail Abbas | Technological Networks | Best Researcher Award

Chulalongkorn University | Thailand

Dr. Kumail Abbas is a veterinary scientist and researcher specializing in precision livestock farming, animal health, and welfare technologies. He is currently pursuing his Doctor of Philosophy in Veterinary Science and Technology at Chulalongkorn University, Thailand, where his doctoral research focuses on employing artificial intelligence to track and monitor dairy cow behaviour during the transition period to predict postpartum disorders. As a Visiting Researcher at the Bristol Vet School, University of Bristol, and University of Salford (UK), Dr. Abbas contributes to the British Dairy Cattle Welfare Strategy (2023–2028) through AI-based behavioural monitoring and data-driven welfare benchmarking. He holds a Master’s in Bioscience Technology from Chung Yuan Christian University, Taiwan, where he investigated the neurophysiological and toxicological effects of ractopamine in zebrafish models, and a Doctor of Veterinary Medicine (DVM) from the University of Veterinary and Animal Sciences, Lahore, Pakistan. His professional experience spans academia, industry, and farm management, including roles as Graduate Research Assistant at Chung Yuan Christian University, Product Information Officer at Prix Pharmaceutica (Pvt.) Ltd., and Assistant Farm Manager at Kasur Dairies Pvt. Ltd., where he developed strong expertise in animal reproduction, health management, and sustainable dairy operations. Dr. Abbas’s research integrates AI, deep learning, and animal behaviour analysis to promote sustainable livestock production. He has received multiple awards and grants, including the Second Century Fund (C2F) Doctoral Fellowship, the 90th Anniversary Ratchadaphisek Somphot Endowment Fund, and the Biotech Excellent Award for academic excellence. His work has been published in international journals and presented at global conferences, reflecting his commitment to advancing innovation in animal science, digital agriculture, and welfare-oriented livestock technologies.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Impacts of early postpartum behavioral patterns on the fertility and milk production of tropical dairy cows"

"Behavioral Adaptations in Tropical Dairy Cows: Insights into Calving Day Predictions"

"Ractopamine at the Center of Decades-Long Scientific and Legal Disputes: A Lesson on Benefits, Safety Issues, and Conflicts"

"Evaluation of Effects of Ractopamine on Cardiovascular, Respiratory, and Locomotory Physiology in Animal Model Zebrafish Larvae"

"Sex determination by CHD (Chromo helicase DNA binding) gene in local rock pigeons (Columba livia) from Lahore, Pakistan"