Kira Phan | Machine Learning | Research Excellence Award

Published on by Sciencefather

Ms. Kira Phan | Machine Learning | Research Excellence Award

Ms. Kira Phan | Machine Learning | California State University, San Bernardino | United States

Ms. Kira Phan is an emerging researcher and undergraduate scholar affiliated with the College of Natural Sciences at California State University, San Bernardino, where she is building a strong academic and research foundation in computational and data-driven sciences. She is currently pursuing undergraduate studies with a focus on applied computing, data analysis, and interdisciplinary scientific inquiry, demonstrating early commitment to research-oriented learning. Her academic journey is marked by active involvement in scholarly research, including meaningful participation in internationally co-authored studies that have resulted in peer-reviewed publication, an achievement that reflects both technical competence and academic maturity at an early career stage. Ms. Kira Phan has contributed to a Scopus-indexed journal article published in Computers (ISSN 2073-431X), where she applied machine learning techniques to the classification of textual medical notes, highlighting her capability in handling real-world healthcare data and complex analytical frameworks. Her research interests are centered on machine learning, medical text analytics, healthcare informatics, and artificial intelligence applications for clinical decision support, aligning closely with high-impact and globally relevant research domains. She has developed research skills in machine learning model evaluation, natural language processing, data preprocessing, collaborative research methodologies, and academic writing for international journals.

View ORCID Profile

Featured Publications:


Comparative Study of Machine Learning Models for Textual Medical Note Classification

Medical Informatics / Artificial Intelligence / Natural Language Processing

This study evaluates and compares multiple machine learning and NLP models for the classification of unstructured clinical text, highlighting performance trade-offs, feature representations, and implications for automated healthcare decision support.

 

Vishal Gupta | Artificial Intelligence | Best Researcher Award

Published on by Sciencefather

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.

 

Prerna Chaudhary | Machine Learning | Best Researcher Award

Published on by Sciencefather

Ms. Prerna Chaudhary | Machine Learning | Best Researcher Award

Ms. Prerna Chaudhary | Machine Learning | PhD student at IIT DELHI | India

Ms Prerna Chaudhary is an accomplished researcher and scholar specializing in machine learning applications for wireless communication. She earned her Ph.D. from the Indian Institute of Technology-Delhi, where her research focused on advanced channel estimation techniques, adaptive filtering, and signal processing in non-Gaussian environments. Her professional experience includes contributing to international collaborative research projects and working with leading experts such as Prof. Manav R. Bhatnagar and B.R. Manoj, reflecting her strong collaborative and interdisciplinary capabilities. Ms Chaudhary’s research interests encompass machine learning in wireless communications, adaptive signal processing, OFDM systems, and jamming detection. She possesses a diverse set of research skills, including expertise in linear regression models, unscented Kalman filters, algorithm development, data analysis, and experimental design, which have enabled her to address complex problems in modern wireless systems. Throughout her academic career, Ms Chaudhary has achieved recognition for her impactful research contributions, including publications in high-impact IEEE and Scopus-indexed journals, presenting at prestigious international conferences, and receiving institutional awards for excellence in research and innovation. Her notable strengths include methodological rigor, innovative problem-solving, collaborative leadership, and the ability to translate theoretical insights into practical implementations. Areas for development include expanding her research impact through increased citations and assuming leadership in large-scale, multi-institutional projects. Ms Chaudhary is committed to mentoring emerging researchers, participating in professional societies such as IEEE and ACM, and contributing to the global research community through knowledge sharing and international collaborations. Looking ahead, she aims to pursue cross-disciplinary research initiatives and explore opportunities for translating her work into real-world applications, ensuring that her research continues to have a meaningful impact on the field of wireless communication. Ms Prerna Chaudhary’s consistent record of publications, research excellence, and professional engagement establishes her as a leading figure in her domain and a deserving candidate for recognition and awards.

Academic Profile: Google Scholar

Featured Publications:

  1. Chaudhary, P., Chauhan, I., Manoj, B. R., & Bhatnagar, M. R. (2024). Linear Regression-Based Channel Estimation for Non-Gaussian Noise. IEEE 99th Vehicular Technology Conference (VTC2024-Spring). Citation: 2

  2. Chaudhary, P., Manoj, B. R., Chauhan, I., & Bhatnagar, M. R. (2025). Channel Estimation using Linear Regression with Bernoulli-Gaussian Noise.

  3. Srivastava, S., Chaudhary, P., & Bhatnagar, M. R. (2024). Comparative Analysis of Machine Learning Algorithms for Pulse Jammer Detection. IEEE International Conference on Advanced Networks and …. Citation: 0

  4. Chaudhary, P., Manoj, B. R., Patidar, V. K., & Bhatnagar, M. R. (2024). Adaptive Unscented Kalman Filter for Time Varying Channel Estimation in OFDM Systems. IEEE International Conference on Advanced Networks and ….