Dr. Ahmad Houkan | Deep learning | Best Researcher Award Published on 16/04/202616/04/2026 by Computer Vision Awards After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 8445 Register Here
Dr. Divya A | Image Processing and Enhancement | Research Excellence Award Published on 13/04/202613/04/2026 by Computer Vision Awards After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 8444 Register Here
Dr. Abhijit Das | Remote Sensing and Satellite Imagery Analysis | India Published on 13/04/202613/04/2026 by Computer Vision Awards After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 8443 Register Here
Assoc. Prof. Dr. Md. Jakir Hossen | Deep Learning for Computer Vision | Excellence in Research Award Published on 11/04/202611/04/2026 by Computer Vision Awards After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 8442 Register Here
Mr. Ehab Elhosary | Vision and Language | Research Excellence Award Published on 10/04/202610/04/2026 by Computer Vision Awards After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 8440 Register Here
Kun Chen | Machine Learning for Computer Vision | Research Excellence Award Published on 09/04/202609/04/2026 by Computer Vision Awards Mr. Kun Chen | Machine Learning for Computer Vision | Research Excellence Award East China Jiaotong University | China Mr. Kun Chen is a postgraduate researcher at East China Jiaotong University, specializing in machine learning and data mining. His research focuses on clustering analysis and semi-supervised learning, contributing to advancing intelligent data-driven systems. He co-authored the article A Novel Semi-Supervised Clustering Algorithm Based on Ridge Regression with Optimal Scaling, published in Neurocomputing, demonstrating strong analytical and methodological innovation. Despite being in the early stage of his academic career, he shows promising potential through international collaboration and impactful research contributions aimed at improving data interpretation and decision-making across scientific and engineering domains. Citation Metrics (ORCID) View ORCID Profile Featured Publications A novel semi-supervised clustering algorithm based on ridge regression with optimal scaling. – . Neurocomputing. (2026).
Rim Bakhat | Benchmark Datasets and Evaluation Methods | Research Excellence Award Published on 09/04/202610/04/2026 by Computer Vision Awards Dr. Rim Bakhat | Benchmark Datasets and Evaluation Methods | Research Excellence Award University of Malaga | Spain Dr. Rim Bakhat is a researcher in economic sciences and sustainable development at Abdel Malek Essaadi University, specializing in sustainable logistics, supply chain management, and multi-criteria decision-making (MCDM). She has authored numerous peer-reviewed publications, with over , demonstrating solid academic impact. Her work integrates advanced methodologies such as AHP, VIKOR, and fuzzy systems to address real-world challenges in energy, transport, and manufacturing sectors. She has collaborated internationally, notably on tourism sustainability and blockchain adoption studies. Her research contributes to improving decision-making processes and promoting sustainable practices in emerging economies, aligning with global sustainability and digital transformation goals. Citation Metrics (Scopus) 90 60 30 0 Citations 89 Documents 6 h-index 4 🟦 Citations 🟥 Documents 🟩 h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View ResearchGate Profile Featured Publications A fuzzy AHP-MAIRCA model for overtourism assessment: The case of Malaga province. – Sustainability, 13(11), 6394. (2021). Cited By: 45 An application of fuzzy integrated model in green supplier selection. – Mathematical Problems in Engineering, 2019, 4256359. (2019). Cited By: 44 Developing a novel grey integrated multi-criteria approach for enhancing the supplier selection procedure: A real-world case of textile company. – Decision Science Letters, 8(3), 211–224. (2019). Cited By: 26 Risk assessment of a wind turbine using an AHP-MABAC approach with grey system theory: A case study of Morocco. – Mathematical Problems in Engineering, 2020, 2496914. (2020). Cited By: 22 An integrated CRITIC-VIKOR model for overtourism assessment in Spain: Post-COVID-19 sustainable actions. – International Journal of Multicriteria Decision Making, 9(2), 87–107. (2022). Cited By: 11
Phani Kumar Chittala | Electrical Energy | Excellence in Research Published on 08/04/202610/04/2026 by Computer Vision Awards Dr. Phani Kumar Chittala | Electrical Energy | Excellence in Research Vishnu Institute of Technology, Bhimavaram | India Dr. Phani Kumar Chittala is a researcher in power systems engineering with expertise in renewable energy integration, power quality enhancement, and intelligent control techniques. His work focuses on solar PV systems, UPQC frameworks, and AI-driven optimization methods for modern electrical networks. He has authored numerous journal and conference publications, including contributions to Recent Advances in Electrical & Electronic Engineering and Journal of Circuits, Systems and Computers, with growing citation impact. His collaborations with international researchers reflect strong interdisciplinary engagement. His research advances resilient and efficient energy systems, contributing to sustainable power infrastructure and improved grid performance in real-world applications. Citation Metrics (Scopus) 60 40 20 0 Citations 50 Documents 12 h-index 3 🟦 Citations 🟥 Documents 🟩 h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View ResearchGate Profile Featured Publications Power quality improvement for a hybrid renewable farm using UPQC. – In Proceedings of the International Conference on Artificial Intelligence and Smart Systems (ICAIS 2021). IEEE. (2021). Citefd By: 36 WITHDRAWN: A high gain multi-port bidirectional converter with reduced voltage stress. – Materials Today: Proceedings. (2021). Cited By: 10 A new topology for power factor correction using resonant converters. – International Journal of Soft Computing and Engineering, 3(4). (2013). Cited By: 9 An adaptive regulatory approach to improve the power quality in solar PV-integrated low-voltage utility grid. – Journal of Circuits, Systems and Computers, 31(17), 2250301. (2022). Cited By: 8 Assessment of power quality enhancement in a grid-tied PV network via ANN-based UPQC. – Recent Advances in Electrical & Electronic Engineering, 17(5). (2024). Cited By: 4
Ahmad Zamil | Marketing | Editorial Board Member Published on 04/04/202604/04/2026 by Computer Vision Awards Prof. Ahmad Zamil | Marketing | Editorial Board Member Prince Sattam bin Abdulaziz University | Saudi Arabia Prof. Ahmad Zamil is a distinguished researcher in marketing, management, and digital transformation, with a strong focus on AI-driven business solutions, e-commerce, and consumer behavior. He has authored over peer-reviewed publications in leading journals indexed by Elsevier, Springer, and Frontiers. His work demonstrates extensive international collaboration across the Middle East, Europe, and Asia. With significant contributions to sustainable development, digital marketing, and smart technologies, his research has influenced both academic scholarship and industry practices, particularly in advancing data-driven decision-making and innovation in emerging economies. Citation Metrics (Scopus) 600 400 200 0 Citations 596 Documents 64 h-index 15 🟦 Citations 🟥 Documents 🟩 h-index View Scopus Profile View ORCID Profile View Google Scholar Profile Featured Publications The effect of leadership styles on employees’ innovative work behavior. –Management Science Letters, 11(1), 239–246. (2021). Cited By: 178 The impact of health service quality on patients’ satisfaction over private and public hospitals in Jordan: A comparative study. – International Journal of Marketing Studies, 4(1), 123–137. (2012). Cited By: 116 The impact of word of mouth (WOM) on the purchasing decision of the Jordanian consumer. – Research Journal of International Studies, 20(20), 24–29. (2011). Cited By: 106 Benefits of implementing occupational health and safety management systems for the sustainable construction industry: A systematic literature review. – Sustainability, 15(17), 12697.. (2023). Cited By: 96 Live stream marketing and consumers’ purchase intention: An IT affordance perspective using the S-O-R paradigm. – Frontiers in Psychology, 14, 1069050. (2023). Cited By: 91
Muhammad Bilal | Computer Vision for Robotics and Autonomous Systems | Editorial Board Member Published on 01/04/202601/04/2026 by Computer Vision Awards Assoc. Prof. Dr. Muhammad Bilal | Computer Vision for Robotics and Autonomous Systems | Editorial Board Member Gunagzhou Nanfang College | China Dr. Muhammad Bilal is an Associate Professor at Nanfang College, China, specializing in artificial intelligence, machine learning, and underwater acoustic communication. His research focuses on bio-inspired covert communication, low probability detection systems, and AI-driven signal processing, with applications in marine technology, cybersecurity, and healthcare. He has authored numerous peer-reviewed publications in leading international journals and conferences. Dr. Bilal actively collaborates with global research communities and serves as a reviewer for reputed journals. His work advances secure communication systems and contributes to the development of sustainable and intelligent ocean technologies with broad societal impact. Citation Metrics (Scopus) 600 400 200 0 Citations 381 Documents 41 h-index 11 🟦 Citations 🟥 Documents 🟩 h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View ResearchGate Profile Featured Publications Biologically inspired covert underwater acoustic communication—A review. –Physical Communication, 30, 107–114. (2018). Cited By: 55 A frequency hopping pattern inspired bionic underwater acoustic communication. – Physical Communication, 46, 101288. (2021). Cited By: 43 Dolphin sounds-inspired covert underwater acoustic communication and micro-modem. – Sensors, 17(11), 2447. (2017). Cited By: 38 Bionic Morse coding mimicking humpback whale song for covert underwater communication. – Applied Sciences, 10(1), 186.. (2020). Cited By: 35 Deep-neural-network-based receiver design for downlink non-orthogonal multiple-access underwater acoustic communication. – Journal of Marine Science and Engineering, 11(11), 2184. (2023). Cited By: 25