Marwa El-Gazzar | Antibacterial Agents | Research Excellence Award Published on 29/01/202629/01/2026 by Cognitive Scientist Awards After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 5019 Register Here
Meihui Li | Music Therapy | Research Excellence Award Published on 29/01/202629/01/2026 by Cognitive Scientist Awards After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 5009 Register Here
Şeyda Dülgerler | Psychiatric Nursing | Research Excellence Award Published on 29/01/2026 by Cognitive Scientist Awards After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 4972 Register Here
Yeliz Aktaş | Psychiatry Nursing | Research Excellence Award Published on 29/01/2026 by Cognitive Scientist Awards After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 4971 Register Here
Mr. Chukwuemeka Augustine Amadi | Cybersecurity | Research Excellence Award Published on 29/01/202629/01/2026 by Cognitive Scientist Awards After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 4809 Register Here
Maria Dalamaga | Clinical Chemistry | Research Excellence Award Published on 27/01/202627/01/2026 by Cognitive Scientist Awards After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 4794 Register Here
Hsuan-Liang Lin | Neural Network | Research Excellence Award Published on 27/01/202627/01/2026 by Cognitive Scientist Awards Prof. Dr. Hsuan-Liang Lin | Neural Network | Research Excellence Award National Kaohsiung Normal University | Taiwan Prof. Dr. Hsuan-Liang Lin is an accomplished researcher specializing in welding technology, vehicle engineering, and advanced quality engineering methods. His work integrates plasma-MIG hybrid welding, materials joining, and manufacturing optimization using Taguchi methods, neural networks, and genetic algorithms. With 25 Scopus-indexed publications, 436 citations, and an h-index of 11, his research demonstrates strong academic impact and applied relevance. His studies are published in high-quality international journals, particularly in advanced manufacturing and materials engineering. Overall, his research profile reflects sustained scholarly productivity, technical innovation, and a strong contribution to industrial and engineering sciences. Citation Metrics (Scopus) 500 400 300 200 100 0 Citations 436 Documents 25 h-index 11 Citations Documents h-index View Scopus Profile Featured Publications Effects of parameters on welding performance of the Ti/Al butt-joint in advanced plasma-MIG hybrid welding – International Journal of Advanced Manufacturing Technology, 2024 Effects of plasma-MIG hybrid welding parameters on performance and hot cracking susceptibility of 5083 Al alloy butt-joint welds – International Journal of Advanced Manufacturing Technology, 2022
Prof. Dr. Hsuan-Liang Lin is an accomplished researcher specializing in welding technology, vehicle engineering, and advanced quality engineering methods. His work integrates plasma-MIG hybrid welding, materials joining, and manufacturing optimization using Taguchi methods, neural networks, and genetic algorithms. With 25 Scopus-indexed publications, 436 citations, and an h-index of 11, his research demonstrates strong academic impact and applied relevance. His studies are published in high-quality international journals, particularly in advanced manufacturing and materials engineering. Overall, his research profile reflects sustained scholarly productivity, technical innovation, and a strong contribution to industrial and engineering sciences.
B. Chitradevi | Image Processing | Research Excellence Award Published on 27/01/202627/01/2026 by Cognitive Scientist Awards Dr. B. Chitradevi | Image Processing | Research Excellence Award SRM Institute of Science & Technology, Tiruchirapalli Campus | India Dr. B. Chitradevi is an accomplished researcher and Assistant Professor in Computer Applications at SRM Institute of Science and Technology, with expertise spanning Image Processing, Data Mining, Cloud Computing, and Networks. Her research contributions include advancements in image denoising, steganography, synthetic aperture radar (SAR) image analysis, and predictive modeling using machine learning techniques such as Support Vector Machines and Vision Transformers. With a strong publication record, her work has been widely cited, reflecting her impact in both theoretical and applied computing. Dr. Chitradevi has also been recognized with multiple awards for teaching, research excellence, and leadership in innovation. Citation Metrics (Google Scholar) 250 200 150 100 50 0 Citations 237 Documents 20+ h-index 5 Citations Documents h-index View Google Scholar Profile Featured Publications An Overview on Image Processing Techniques – International Journal of Innovative Research in Computer and Communication Engineering, 2014 Data Hiding Using Least Significant Bit Steganography in Digital Images – Statistical Approaches in Multidisciplinary Research, 2017 Cloud-Based Smart Water Management System – International Conference on Sustainable Computing and Smart Systems, 2023 Diabetes Mellitus Prediction and Classification Using Firefly Optimization-Based Support Vector Machine – International Conference on Distributed Computing and Optimization, 2024 Conv-ViT: An Improved Discrete Convolution-Based Vision Transformer for Diabetic Retinopathy Detection – Franklin Open, 2025
Dr. B. Chitradevi is an accomplished researcher and Assistant Professor in Computer Applications at SRM Institute of Science and Technology, with expertise spanning Image Processing, Data Mining, Cloud Computing, and Networks. Her research contributions include advancements in image denoising, steganography, synthetic aperture radar (SAR) image analysis, and predictive modeling using machine learning techniques such as Support Vector Machines and Vision Transformers. With a strong publication record, her work has been widely cited, reflecting her impact in both theoretical and applied computing. Dr. Chitradevi has also been recognized with multiple awards for teaching, research excellence, and leadership in innovation.
Sohrab Pirhadi | Machine Learning | Research Excellence Award Published on 27/01/202627/01/2026 by Cognitive Scientist Awards Mr. Sohrab Pirhadi | Machine Learning | Research Excellence Award Institute for Advanced Studies in Basic Sciences | Iran Mr. Sohrab Pirhadi is a data scientist and machine learning researcher specializing in natural language processing, deep learning, and high-dimensional data analysis. His work focuses on optimizing machine learning models for tasks such as sentence-level relation extraction and ensemble learning, with applications in food authentication, sparse data analysis, and interpretable AI. He has contributed to developing computational methods for species identification in meat products using spectroscopy and chemometrics, and has published in journals including Results in Chemistry and IEEE conference proceedings. His research emphasizes scalable, explainable, and application-driven AI solutions bridging theory with real-world challenges. Citation Metrics (Google Scholar) 20 15 10 5 0 Citations 11 Documents 8 h-index 3 View Google Scholar Profile View Scopus Profile Featured Publications Species Identification in Sausage Samples Using Near-Infrared Spectroscopy and Linear Discriminant Analysis – Discover Sustainability, 2025 Identification of Animal Species in Meat Products Using Chemometrics-Based HPLC: A Systematic Review – Journal of Biochemicals and Phytomedicine, 2024 Developing Infrared Spectroscopy Methods for Identification of Food Fraud and Authenticity: A Review – Journal of Biochemicals and Phytomedicine, 2024 Classification of Meat Species in Sausage Products Using FTIR Spectroscopy and Multivariate Analysis – Results in Chemistry, 2025 Finding the Sweet Spot: An Empirical Study on Dataset Size, Performance, and Efficiency in Relation Extraction – CSICC Conference, 2025
Mr. Sohrab Pirhadi is a data scientist and machine learning researcher specializing in natural language processing, deep learning, and high-dimensional data analysis. His work focuses on optimizing machine learning models for tasks such as sentence-level relation extraction and ensemble learning, with applications in food authentication, sparse data analysis, and interpretable AI. He has contributed to developing computational methods for species identification in meat products using spectroscopy and chemometrics, and has published in journals including Results in Chemistry and IEEE conference proceedings. His research emphasizes scalable, explainable, and application-driven AI solutions bridging theory with real-world challenges.
Joanna Dąbrowska | Veterinary | Research Excellence Award Published on 27/01/202627/01/2026 by Cognitive Scientist Awards Dr. Joanna Dąbrowska | Veterinary | Research Excellence Award National Veterinary Research Institute| Poland Dr. Joanna Dąbrowska is a leading veterinary scientist specializing in molecular parasitology, diagnostic assay development, and multi-omics analysis of protozoan and helminth pathogens affecting animals and public health. Her research focuses on Tritrichomonas foetus, Cryptosporidium spp., Toxoplasma gondii, and Anisakis species, with strong contributions to genomic, transcriptomic, and proteomic profiling for improved disease detection and control. She has authored 32 peer-reviewed publications, achieved 475 citations, and holds an h-index of 13, reflecting significant scholarly impact. Her research profile demonstrates excellence in translational veterinary research, innovative diagnostic method development, and leadership in competitive national and international research projects. Citation Metrics (Scopus) 500 400 300 200 100 0 Citations 475 Documents 32 h-index 13 Citations Documents h-index View Scopus Profile Featured Publications A Multi-Omics Perspective on Tritrichomonas foetus: From Genomics to Future Directions – International Journal of Molecular Sciences, 2024 Investigating Cryptosporidium spp. Using Genomic, Proteomic and Transcriptomic Techniques: Current Progress and Future Directions – Current Research in Parasitology & Vector-Borne Diseases, 2024 Molecular confirmation of the systemic toxoplasmosis in cat – Annals of Agricultural and Environmental Medicine, 2023 Whole genome sequencing of a feline strain of Tritrichomonas foetus reveals massive genetic differences to bovine and porcine isolates – International Journal for Parasitology, 2020 Comparison Study of Four Extraction Methods Combined with PCR and LAMP for Feline Tritrichomonas foetus Detection in Fecal Samples – Pathogens, 2022
Dr. Joanna Dąbrowska is a leading veterinary scientist specializing in molecular parasitology, diagnostic assay development, and multi-omics analysis of protozoan and helminth pathogens affecting animals and public health. Her research focuses on Tritrichomonas foetus, Cryptosporidium spp., Toxoplasma gondii, and Anisakis species, with strong contributions to genomic, transcriptomic, and proteomic profiling for improved disease detection and control. She has authored 32 peer-reviewed publications, achieved 475 citations, and holds an h-index of 13, reflecting significant scholarly impact. Her research profile demonstrates excellence in translational veterinary research, innovative diagnostic method development, and leadership in competitive national and international research projects.