Assoc. Prof. Dr. Ante Kasap | Biotechnology | Research Excellence Award Published on 24/03/202624/03/2026 by Technology Scientists Assoc. Prof. Dr. Ante Kasap | Biotechnology | Research Excellence Award University of Zagreb | Croatia Assoc. Prof. Dr. Ante Kasap, affiliated with the University of Zagreb Faculty of Agriculture, specializes in animal genetics and breeding, with a focused research trajectory on small ruminants, particularly Mediterranean sheep breeds. His work centers on genetic diversity, population structure, selection signatures, and wool trait analysis, contributing to advancements in livestock productivity and sustainable breeding strategies. With 31 publications, 372 citations, and an h-index of 10, he demonstrates a solid and growing academic impact. Kasap has collaborated with 55 international co-authors, reflecting strong engagement in global research networks and interdisciplinary cooperation. His recent studies highlight genomic approaches to improving breed performance and maintaining genetic variability, which are critical for long-term agricultural sustainability. The societal relevance of his research lies in its contribution to food security, rural development, and biodiversity conservation, particularly within Mediterranean agro-ecosystems, positioning his work within the broader framework of sustainable and resilient agricultural innovation. Citation Metrics (Scopus) 372 200 100 10 0 Citations 372 Documents 31 h-index 10 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View ResearchGate Profile Top 5 Featured Publications Heavy metal bioaccumulation by wild edible saprophytic and ectomycorrhizal mushrooms – I. Širić, 2016 Lead, cadmium and mercury contents and bioaccumulation potential of wild edible saprophytic and ectomycorrhizal mushrooms, Croatia – I. Širić, 2017 Study on birth weight and pre-weaning growth of Croatian multicolored goat kids. – B. Mioč, 2011 137Cs in mushrooms from Croatia sampled 15–30 years after Chernobyl – I. Tucaković, 2018 Heavy metals in edible mushroom Boletus reticulatus Schaeff. collected from Zrin mountain, Croatia – I. Širić, 2014
Prof. Dr. Jianquan Ouyang | Cyber Security | Research Excellence Award Published on 24/03/202624/03/2026 by Technology Scientists Prof. Dr. Jianquan Ouyang | Cyber Security | Research Excellence Award Xiangtan University | China Prof. Dr. Jianquan Ouyang is an emerging researcher in the fields of artificial intelligence, machine learning, and data-driven computational modeling, with a strong emphasis on natural language processing, diffusion models, and federated learning. Affiliated with Xiangtan University, he has authored 66 scholarly publications, receiving 258 citations and achieving an h-index of 8, reflecting consistent research impact. His recent work explores advanced techniques such as nested named entity recognition, transformer-based architectures, and physics-constrained generative models, demonstrating interdisciplinary integration across AI and scientific computing. Dr. Ouyang has collaborated with a broad network of over 90 co-authors, contributing to diverse applications including biomedical imaging, atmospheric simulation, and healthcare monitoring systems. His research advances scalable, fair, and interpretable AI systems, with societal relevance in improving medical diagnostics, environmental modeling, and intelligent data processing frameworks. Citation Metrics (Scopus) 258 200 100 10 0 Citations 258 Documents 66 h-index 8 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View ResearchGate Profile Top 5 Featured Publications Medical Images Sharing System Based on Blockchain and Smart Contract of Credit Scores – H. Tang, 2018 Ontology reasoning scheme for constructing meaningful sports video summarisation – J. Ouyang, 2013 SkeletonPose: Exploiting human skeleton constraint for 3D human pose estimation – S. Chen, 2022 Replay boundary detection in MPEG compressed video – J. Q. Ouyang, 2003 Traceback-Based Bloomfilter IPS in Defending SYN Flooding Attack – H. Tang, 2009
Prof. Qian Zhai | Geotechnics | Research Excellence Award Published on 20/03/202624/03/2026 by Technology Scientists Prof. Qian Zhai | Geotechnics | Research Excellence Award Southeast University | China Prof. Qian Zhai is a prominent researcher in geotechnical engineering, specializing in unsaturated soil mechanics, soil–water characteristic curves, and hydraulic conductivity modeling. He has authored 68 peer-reviewed publications, accumulating over 1,611 citations and achieving an h-index of 21, reflecting strong academic influence. His research focuses on developing advanced mathematical and computational models to analyze soil behavior under environmental factors such as rainfall and wetting processes. Notable contributions include innovative modeling techniques for bimodal soil-water characteristic curves, prediction of wetting-induced settlement in loess soils, and slope stability assessment. With collaborations involving more than 100 co-authors, Prof. Zhai maintains active engagement in international research networks. His work has significant practical relevance, contributing to improved foundation design, infrastructure resilience, and geotechnical risk mitigation, particularly in climate-sensitive regions, thereby demonstrating meaningful societal and engineering impact. Citation Metrics (Scopus) 1611 1000 500 100 0 Citations 1,611 Documents 68 h-index 21 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View ResearchGate Profile Top 5 Featured Publications Determination of soil–water characteristic curve variables – Q. Zhai, 2012 Estimation of permeability function from the soil–water characteristic curve – Q. Zhai, 2015 Estimation of unsaturated shear strength from soil–water characteristic curve – Q. Zhai, 2019 Estimation of wetting hydraulic conductivity function for unsaturated sandy soil – Q. Zhai, 2021 Estimation of unimodal water characteristic curve for gap-graded soil – A. Satyanaga, 2017
Ms. Yazhini M | Machine Learning | Editorial Board Member Published on 16/03/202616/03/2026 by Technology Scientists After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2271 Register Here
Mr. Jaideep Sharma | Quantum-Classical Models | Research Excellence Award Published on 16/03/202617/03/2026 by Technology Scientists Mr. Jaideep Sharma | Quantum-Classical Models | Research Excellence Award Microsoft India Pvt. Ltd. | India Mr. Jaideep Sharma is an emerging researcher in Computer Science and Engineering with a growing focus on advanced computational intelligence, particularly the integration of quantum and classical machine learning techniques. As an undergraduate student at the Indian Institute of Technology (BHU), Varanasi, he has demonstrated early research capability through his peer-reviewed publication titled “QGCNLP: Hybrid Quantum–Classical Graph Convolutional Network based Link Prediction” in an internationally recognized journal. His work highlights expertise in graph neural networks, link prediction, and hybrid quantum-classical frameworks, reflecting strong interdisciplinary knowledge. With one publication and collaborative research contributions alongside established scholars, he is steadily building his academic profile. His research addresses complex data-driven challenges with potential applications in social network analysis, recommendation systems, and bioinformatics. Overall, his work signifies a promising trajectory toward next-generation computing solutions, combining innovation, collaboration, and relevance to both scientific advancement and broader societal applications. View ORCID Profile View Google Scholar Profile Featured Publication QGCNLP: Hybrid Quantum–classical Graph Convolutional Network based Link Prediction – Nisha Singh, 2026
Mr. Jaideep Sharma is an emerging researcher in Computer Science and Engineering with a growing focus on advanced computational intelligence, particularly the integration of quantum and classical machine learning techniques. As an undergraduate student at the Indian Institute of Technology (BHU), Varanasi, he has demonstrated early research capability through his peer-reviewed publication titled “QGCNLP: Hybrid Quantum–Classical Graph Convolutional Network based Link Prediction” in an internationally recognized journal. His work highlights expertise in graph neural networks, link prediction, and hybrid quantum-classical frameworks, reflecting strong interdisciplinary knowledge. With one publication and collaborative research contributions alongside established scholars, he is steadily building his academic profile. His research addresses complex data-driven challenges with potential applications in social network analysis, recommendation systems, and bioinformatics. Overall, his work signifies a promising trajectory toward next-generation computing solutions, combining innovation, collaboration, and relevance to both scientific advancement and broader societal applications.
Dr. Hameed Ur Rehman | Photonics | Best Researcher Award Published on 16/03/202617/03/2026 by Technology Scientists Dr. Hameed Ur Rehman | Photonics | Best Researcher Award The Chinese University of Hong Kong | China Dr. Hameed Ur Rehman, affiliated with The Chinese University of Hong Kong, Shenzhen, is an emerging researcher specializing in semiconductor materials and optoelectronic device engineering, with a particular focus on advanced III-nitride materials for deep-ultraviolet (DUV) applications. His research primarily addresses challenges in carrier transport optimization and material efficiency in next-generation laser diodes, as evidenced by his recent work on P-type BGaN for 266.1 nm DUV laser systems. He has authored 11 peer-reviewed publications, accumulating 61 citations and achieving an h-index of 6, reflecting consistent scholarly impact within a competitive research domain. His collaborations with 26 co-authors indicate active engagement in interdisciplinary and international research networks. Through his contributions to micro- and nanostructure-based optoelectronic technologies, his work holds potential societal impact in areas such as sterilization, medical diagnostics, and environmental monitoring, aligning with global technological and sustainability priorities. Citation Metrics (Scopus) 61 40 20 10 0 Citations 61 Documents 11 h-index 6 Citations Documents h-index View Scopus Profile View ResearchGate Profile Top 5 Featured Publications Sensitivity of indium molar fraction in InGaN quantum wells for near-UV LEDs – Muhammad Nawaz Sharif, 2022 A State-of-the-Art Technique for Malware Detection Based on Deep Learning in IoT Environment – Muhammad Mumtaz Ali, 2022 Effect of AlGaN quantum barrier thickness on electron-hole overlapping in deep-ultraviolet laser diode – Hameed Ur Rehman, 2023 Performance analysis for 263 nm AlGaN DUV EELD by different EBL techniques – Hameed Ur Rehman, 2023 Investigation on the performance of deep ultraviolet edge emitting laser diodes using graded undoped AlGaN EBL – Hameed Ur Rehman, 2023
Dr. Hameed Ur Rehman, affiliated with The Chinese University of Hong Kong, Shenzhen, is an emerging researcher specializing in semiconductor materials and optoelectronic device engineering, with a particular focus on advanced III-nitride materials for deep-ultraviolet (DUV) applications. His research primarily addresses challenges in carrier transport optimization and material efficiency in next-generation laser diodes, as evidenced by his recent work on P-type BGaN for 266.1 nm DUV laser systems. He has authored 11 peer-reviewed publications, accumulating 61 citations and achieving an h-index of 6, reflecting consistent scholarly impact within a competitive research domain. His collaborations with 26 co-authors indicate active engagement in interdisciplinary and international research networks. Through his contributions to micro- and nanostructure-based optoelectronic technologies, his work holds potential societal impact in areas such as sterilization, medical diagnostics, and environmental monitoring, aligning with global technological and sustainability priorities.
Mr. Obinna Onodugo | Electric Machine | Editorial Board Member Published on 11/03/202611/03/2026 by Technology Scientists After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2267 Register Here
Ms. Yazhini M | Differential Equation | Young Scientist Award Published on 03/03/202603/03/2026 by Technology Scientists After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2263 Register Here
Prof. Xiaoyan Yu | Computer Vision | Research Excellence Award Published on 03/03/202603/03/2026 by Technology Scientists After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2260 Register Here
Assoc. Prof. Dr. Amedeo Amoresano | Magnetic Machines | Excellence in Research Award Published on 03/03/202610/04/2026 by Technology Scientists After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2259 Register Here
