Dr. Harsha Vikas Patil

Dr. Harsha Vikas Patil

Editorial Board Member

Name: Dr. Harsha Vikas Patil

Affiliation:
Assistant Professor
MAEER'S MIT Arts, Commerce and Science College
Alandi, Pune, Maharashtra, India

Address:
MAEER'S MIT Arts, Commerce and Science College
Alandi - Moshi Road, Opposite Gajanan Maharaj Sansthan
Alandi, Pune – 412105
Maharashtra, India

Email: ✉️ [email protected]

Academic Profiles:

Professional Overview

Dr. Harsha Vikas Patil is an accomplished academician and researcher in the field of Computer Science with over 13 years of teaching experience. She is currently serving as an Assistant Professor in the Department of Computer Application at MAEER’s MIT Arts, Commerce and Science College, Alandi (D), Pune. She holds a Ph.D. in Computer Science and has qualified the UGC-NET, demonstrating her strong academic foundation and commitment to excellence in teaching and research. Dr. Patil has extensive experience teaching both undergraduate and postgraduate students, covering subjects such as Artificial Intelligence, Machine Learning, Deep Learning, Internet of Things (IoT), Cybersecurity, and Python Programming. Her research interests span diverse and emerging areas including AI for Smart Cities, Intelligent Transport Systems, Blockchain, Cybersecurity, Smart Agriculture, Autonomous Driving, and Supply Chain Optimization. She has also contributed to innovative research in EV market forecasting, behavioral analytics, and AI-driven automation. Dr. Harsha has published more than fifty research papers in reputed national and international journals and conferences, including those indexed in SCOPUS, Web of Science, and ABDC. She has also contributed book chapters in areas such as data analytics, AI-based personalization, and digital transformation. In addition, she actively serves as a reviewer for prestigious IEEE, Springer, and other indexed journals and conferences. She has participated in various faculty development programs and specialized training in research methodology, deep learning, cybersecurity, and NEP implementation, ensuring her academic contributions remain aligned with current technological advancements. Dr. Harsha Patil is dedicated to fostering innovation, promoting research excellence, and equipping students with future-ready skills in the rapidly evolving field of computing.

Research Interests

  • Artificial Intelligence and Machine Learning
  • Deep Learning and Predictive Analytics
  • Internet of Things (IoT)
  • Blockchain Technology and Cybersecurity
  • Data Science and Big Data Analytics
  • Smart Agriculture and Intelligent Systems
  • Computer Vision and Facial Emotion Recognition

Teaching Areas

  • Machine Learning and Artificial Intelligence
  • Deep Learning
  • Data Science using Python
  • Internet of Things (IoT)
  • Computer Networks
  • Computer Graphics
  • Compiler Construction
  • Software Engineering
  • Linux Operating Systems
  • Python Programming
  • Advanced C Programming
  • Network Programming

Research and Scholarly Contributions

  • Published more than 50 research papers in international journals and conference proceedings.
  • Research contributions in Artificial Intelligence, Machine Learning, Blockchain, IoT, Cybersecurity, Smart Agriculture, Electric Vehicles, Supply Chain Optimization, and Financial Technologies.
  • Author of multiple book chapters in emerging areas of Artificial Intelligence, Data Analytics, Digital Transformation, and Sustainable Computing.
  • Presented research papers at national and international conferences.

Reviewer Experience

  • IEEE International Conference on Blockchain and Distributed System Security (ICBDS)
  • International Conference on Intelligent Computing and Communication (ICICC)
  • International Conference on Data Engineering and Applications (ICDEA)
  • Journal of Scientific Research and Report
  • Journal of Engineering Research and Reports
  • Journal of Control and Cybernetics
  • Asian Journal of Research in Computer Science
  • Archives of Current Research International
  • International Conference on Sustainable Computing and Artificial Intelligence (ICSCAI)
  • Multiple IEEE and Springer international conferences

Academic Service and Leadership

  • Faculty Coordinator, Google Developer Group (GDG) on Campus, MIT ACSC.
  • LIC Expert Committee Member, Savitribai Phule Pune University (SPPU).
  • Editorial Board Member, International Research for Engineering and Management Journal.
  • Active participant in faculty development programmes, research methodology training, and higher education quality initiatives.

Selected Publications

  • Leveraging Machine Learning Analytics for Intelligent Transport System Optimization in Smart Cities
  • Advanced Machine Learning Models for Predicting Electric Vehicle Sales
  • AI Driven Dynamic Prediction System for Stock Market Trends using Multimodal Data
  • Artificial Intelligence in Cybersecurity: Enhancing Threat Detection and Prevention
  • Secure and Efficient Blockchain-Based Data Sharing Framework for IoT Networks
  • Python in the Evolution of AI: A Comparative Study of Emerging Technologies
  • Harnessing IoT for Smart Agriculture: A Comprehensive Exploration
  • Robust and Efficient Object Detection in Environmental Challenges Using Data Augmentation

Education

Ph.D. (Computer Science & Applications) – Shri JJT University, Rajasthan
UGC-NET Qualified – Computer Science
M.Sc. (Computer Science) – North Maharashtra University
B.Sc. (Computer Science) – North Maharashtra University

Last Updated: 02 June 2026