Aditya Institute of Management Studies and Research

...previously known as Aditya Institute of Management Studies and Research (AIMSR)
Linguistic Minority Institute (Hindi)
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Faculty

Mr. Harish Nivruttee Mahale

Visiting Faculty - Aditya Institute of Management Studies and Research
Qualification: PhD, MBA
Experience: (Industry/Academic): 12 Years of Academic Experience
Subjects and Specialization:
  • Data Science
  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Generative AI
  • Natural Language Processing (NLP)
  • Computer Vision
  • Reinforcement Learning
  • Robotics and Autonomous Systems
  • Big Data Analytics
  • Data Analytics
  • Python for Data Science
  • Statistical Methods for Data Science
  • Internet of Things (IoT)
  • AI Applications
  • Advanced Database Management System.
Teaching Philosophy
My teaching philosophy is centred on experiential, application-oriented and technology-driven learning. I believe that students learn best when theoretical concepts are connected with real-world problems, practical projects and industry-relevant applications. My approach combines conceptual clarity, hands-on experimentation, case-based learning, collaborative activities and emerging technologies such as Artificial Intelligence, Machine Learning and Generative AI. I encourage students to develop analytical thinking, problem-solving abilities, creativity and a continuous-learning mindset. As technology evolves rapidly, I aim to prepare learners not merely to use existing technologies but to understand, evaluate and responsibly innovate with them.
Research
Journal Publication
  • A New Frontier in Language Learning: Exploring Generative AI Solutions
  • Safe and Explainable Reinforcement Learning Frameworks for Autonomous Robotics Applications
  • Hierarchical Reinforcement Learning for Multi-Agent Coordination in Complex Robotic Environments
  • Recent Trends in IT
Book Chapters
  • Modelling of 6G-Based WSN-IoT Scenarios Using Machine Learning
Development Programme
Faculty Development Programme (FDP)
  • Attended 10 Faculty Development Programmes covering Artificial Intelligence, Emotional Intelligence (EQ), Robotics, Machine Learning, emerging technologies and related contemporary areas. These programmes have contributed to continuous professional development and the integration of emerging technologies and innovative pedagogical practices into teaching and academic activities.
Hackathons / Events Organised
Actively involved in organising and coordinating academic and technology-oriented events, including hackathons, workshops, seminars, technical activities and student innovation initiatives. Has taken leadership responsibilities as an event coordinator and chairperson, facilitating student participation, interdisciplinary collaboration, problem-solving and innovation-oriented activities.
Any other
  • Serving as a Board of Studies Member for MCA, BS –  Artificial Intelligence & Data Science (AI & DS), and BS – Cloud Computing, contributing to curriculum development, academic planning, and enhancement of industry-relevant education.
  • Involved in facilitating industry-oriented learning through industrial visits, practical exposure, technology-focused activities and interaction with industry professionals, with an emphasis on bridging the gap between academic learning and real-world applications.
  • Member, Board of Studies / Academic Committee, KES Shroff College of Arts and Commerce — 2022–2024.
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