Tushar Mahore
Assistant Professor, ICEM, Pune · PhD Student, Symbiosis Institute of Technology
Department of AI & Data Science
Indira College of Engineering and Management
Pune, Maharashtra, India
I am an Assistant Professor in the Department of Artificial Intelligence and Data Science at Indira College of Engineering and Management (ICEM), Pune, and a PhD student at Symbiosis Institute of Technology (SIT), Pune.
My research lies at the intersection of Natural Language Processing, Crisis Informatics, and Edge Computing. I am currently building edge-deployable NLP pipelines that generate real-time situation summaries from social media during disasters — designed to work entirely offline, without cloud dependency.
I teach courses in Artificial Intelligence and Data Science under the SPPU pattern, with a focus on helping students build intuition for neural architectures and modern ML systems.
Research Interests: NLP · Abstractive Summarization · Retrieval-Augmented Generation · Crisis Informatics · Edge AI
news
| Apr 23, 2026 | Completed AI Fluency: Framework & Foundations — Certificate of Completion from Anthropic. |
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| Apr 17, 2026 | Completed One Week FDP on Integrating Machine Learning and AI for Scalable IoT Solutions, organized by Vishwakarma Institute of Technology, Pune, in association with IEEE Consumer Technology Society (CTSoc, Pune Chapter). Apr 13–17, 2026. |
| Feb 01, 2026 | Joined Indira College of Engineering and Management (ICEM), Pune as Assistant Professor in the Department of AI & Data Science. |
| Jan 01, 2026 | Book chapter published — An Explainable Hybrid TabTransformer–Random Forest Model for Biometric Security in IoMT Healthcare Systems, Academic Press, 2026. |
| Jan 01, 2025 | Journal paper published — Detection of Multi-class Skin Cancer using SGD Augmentation Model and Activation Mapping, Journal of Innovative Image Processing, Vol. 7(4), 2025. |
latest posts
| Apr 10, 2026 | Building a RAG Pipeline from Scratch with Python |
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| Mar 25, 2026 | Backpropagation from Scratch with NumPy |
| Mar 10, 2026 | Text Classification for Cyberbullying Detection: A Practical NLP Walkthrough |
selected publications
- Academic PressAn explainable hybrid TabTransformer–Random Forest model for biometric security in IoMT Healthcare systemsIn Recent Advances in Computational Intelligence Applications for Biometrics and Biomedical Devices, 2026
- JIIPDetection of Multi-class Skin Cancer using Stochastic Gradient Descent Augmentation Model and Activation MappingJournal of Innovative Image Processing, 2025
- IEEECyberbullying Classification Using a Natural Language Processing and Machine Learning TechniquesIn 2024 International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET), 2024