--- title: "Mr. Harish Nivruttee Mahale" url: https://www.aimsr.edu.in/faculty/mr-harish-nivruttee-mahale/ type: page date: 2026-09-07 modified: 2026-09-08 markdown_url: https://www.aimsr.edu.in/faculty/mr-harish-nivruttee-mahale.md author: "aimsr" --- # Mr. Harish Nivruttee Mahale ## Faculty - [Home](https://www.aimsr.edu.in) ![](/images/faculty_images/Harish%20Passport.webp) ## 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 Book Chapters **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 **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.