Vishal Gupta | Artificial Intelligence | Best Researcher Award

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Dr. Vishal Gupta | Artificial Intelligence | Best Researcher Award

Dr. Vishal Gupta | Artificial Intelligence | Assistant Professor at CGC University, Mohali | India

Dr. Vishal Gupta is an accomplished researcher and academician specializing in Web Accessibility, Assistive Technologies, Website Usability, and AI-driven web evaluation frameworks. He earned his Ph.D. from Guru Nanak Dev University, where he developed expertise in accessibility evaluation and applied computing techniques. Dr. Gupta has extensive professional experience in higher education and research, currently serving at Chandigarh Group of Colleges, where he leads research initiatives and mentors students in computer science and web accessibility projects. His research interests focus on enhancing web usability, accessibility compliance for educational and healthcare institutions, and integrating artificial intelligence for industrial and security frameworks. Dr. Gupta possesses strong research skills in website quality assessment, bi-level decision tree methodologies, AI-based vulnerability analysis, and accessibility evaluation metrics, supported by a solid record of international publications and collaborations. He has collaborated with esteemed colleagues such as Hardeep Singh, Parminder Kaur, and I. Kaur on multidisciplinary projects, reflecting his ability to lead and contribute to global research initiatives. Dr. Gupta has actively participated in professional organizations including IEEE and ACM, contributing to conferences, peer reviews, and academic committees, highlighting his leadership and community engagement. His work has been recognized with multiple awards and honors for excellence in research, innovation, and contributions to accessibility studies, reflecting his impact in the academic community. Strengths include his consistent publication record, strong interdisciplinary collaboration, and practical implementation of research findings in real-world settings. Areas for improvement involve exploring larger-scale international projects and further integrating emerging technologies into web accessibility studies. Suggestions for future work include policy-level impact analysis, open-source accessibility frameworks, and AI-enhanced methodologies for inclusive digital platforms. Dr. Gupta’s dedication, scholarly rigor, and innovative approach position him as a leader in his field with promising potential for future research contributions and societal impact, making him a highly suitable candidate for recognition in research and academic excellence.

Academic Profile: ORCID | Google Scholar

Featured Publications:

  1. Gupta, V., & Singh, H. (2021). Web Content Accessibility Evaluation of Universities’ Websites-A Case Study for Universities of Punjab State in India. 8th International Conference on Computing for Sustainable Global Development, 9 citations.

  2. Gupta, V., & Singh, H. (2022). Website Readability, Accessibility, and Site Security: A Survey of University Websites in Punjab. International Journal of Mechanical Engineering, 7(6), 1-9, 3 citations.

  3. Gupta, V., Singh, H., & Kaur, P. (2024). Accessibility Evaluation of Hospital Websites in India. International Journal of Computer Applications & Information Technology, 14, 1 citation.

  4. Gupta, V., Kaur, I., Singh, S., Kumar, V., & Kaur, P. (2025). Artificial Intelligence-empowered Industrial Framework for Extreme Vulnerability Analysis. Future Generation Computer Systems, 108127, citation data not available.

  5. Gupta, V., Kaur, P., & Singh, H. (2024). Bi-Level Decision Tree Approach for Web Quality Assessment. IEEE Access, citation data not available.

 

Valentin Mollov | Computer Science | Best Researcher Award

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Dr. Valentin Mollov | Computer Science | Best Researcher Award

Dr. Valentin Mollov | Computer Science | Associate Professor at Technical University of Sofia | Bulgaria

Dr. Valentin S. Mollov is a male researcher at the Technical University of Sofia whose education includes a Ph.D. in Electrical and Computer Engineering awarded from the same university; he has built professional experience through roles in both academic teaching and research, supervising graduate students and collaborating with international institutions on projects relating to sensor systems, data security, and embedded architectures. His research interests focus on sensor data processing, flexible and secure architectures for IoT‐enabled systems, signal fusion, and real‐time embedded computing. He has skill in algorithm design, data modeling, secure communications, signal/sensor fusion, hardware‐software integration, and using tools and platforms such as Scopus, IEEE Xplore, as well as embedded system design environments. Dr. Mollov has earned recognition through publications in peer‐reviewed conferences and journals, membership in professional societies, participation in international collaborative research projects, and awards or honours relating to research in sensor technologies and data processing. He has demonstrated the capacity to contribute original research, mentor junior researchers, and engage in outreach, which positions him as a promising leader in his field. Overall, Dr. Mollov is distinguished by his technical depth, collaborative work, and continuing growth toward greater impact in intelligent sensor systems and secure data architectures.

Academic Profile: Scopus

Featured Publications:

Mollov, V. S. (2023). Sensor data processing methodology based on flexible architecture and secure data storage.