Associate Professor at Faculty of Engineering And Technology, India
Dr. Utkarsha Pacharaney is a dedicated academician and researcher currently serving as the Dean Academics and Head of the Department of Artificial Intelligence and Data Science at the Faculty of Engineering and Technology, Datta Meghe Institute of Higher Education and Research, Wardha. With over two decades of teaching experience and a strong background in electronics and telecommunication, Dr. Pacharaney has consistently contributed to the academic and research community. She is known for her multidisciplinary approach that integrates artificial intelligence with healthcare and communication systems, and she continues to inspire students and colleagues through her leadership and commitment to academic excellence.
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Education
Dr. Pacharaney pursued her higher education in the field of electronics and telecommunication, earning both her Master of Engineering (M.E.) in 2011 and Doctor of Philosophy (Ph.D.) in 2020 from the University of Mumbai. Her educational background laid a robust foundation for her subsequent contributions in AI, machine learning, and wireless communications. Her academic training has been crucial in guiding her research and pedagogical strategies, allowing her to bridge theoretical knowledge with practical implementation.
Experience
With 23 years of teaching experience and an additional year in industry, Dr. Pacharaney brings a well-rounded perspective to engineering education. She began her career as a software programmer at BSEL Information System Limited in Vashi, before transitioning into academia where she has thrived. Over the years, she has handled a broad spectrum of undergraduate and postgraduate courses, including Computer Communication Networks, Digital Communication, Wireless Communication, Optical Fiber Communication, and Artificial Intelligence. Additionally, she has been instrumental in designing Ph.D. coursework in Research Methodology, reflecting her commitment to cultivating research aptitude among doctoral candidates.
Research Interest
Dr. Pacharaney’s research interests span Artificial Intelligence and Healthcare, Machine Learning, Wireless Communication, and Sensor Networks. Her interdisciplinary approach aims to harness the power of emerging technologies to address pressing real-world problems, particularly in healthcare. She has contributed significantly to the development of intelligent systems that leverage AI for predictive analytics and decision-making. Her interest in wireless and sensor technologies complements her AI research, especially in the context of smart health monitoring and IoT-enabled applications.
Award
Dr. Pacharaney has made significant contributions that make her a strong contender for academic excellence awards. She has mentored students in prestigious hackathons such as HackSprint v3.0 organized by the College of Engineering, Pune, and delivered expert sessions in national AICTE-ISTE sponsored programs. She has also conducted major faculty development programs and workshops in artificial intelligence and machine learning. Her leadership and mentorship have had a measurable impact on the academic growth of institutions and individuals alike.
Publication
Dr. Pacharaney has an impressive publication record with a total of 72 publications, including 14 journal articles and 52 conference papers. Some notable publications include:
“Smart Healthcare Monitoring System using IoT and Machine Learning” (2020), International Journal of Advanced Computer Science, cited by 22 articles.
“A Survey on Wireless Sensor Networks and Applications” (2019), IET Communications, cited by 18 articles.
“An Intelligent Medical Decision Support System Using AI Techniques” (2021), IEEE Access, cited by 25 articles.
“Integration of AI in Biomedical Signal Processing” (2022), Hindawi Journal of Healthcare Engineering, cited by 15 articles.
“Edge Computing and AI for Real-Time Health Analytics” (2021), IEEE Sensor Letters, cited by 12 articles.
“Predictive Modeling for Cardiovascular Disease” (2019), Journal of Biomedical Informatics, cited by 20 articles.
“AI-Driven Data Analysis for Pandemic Response” (2020), Inderscience International Journal of Data Science, cited by 17 articles.
Conclusion
Dr. Utkarsha Pacharaney exemplifies the ideal candidate for the “Research for Advancing Patient Care through Research Award.” Her extensive academic background, sustained research in AI and biomedical domains, and her leadership in fostering interdisciplinary knowledge make her exceptionally well-suited to receive this honor. Her work not only bridges the gap between technology and medicine but also demonstrates a longstanding commitment to advancing patient care through research and innovation.