Comparative Study of Regression Models and Deep Learning Models for Insurance Cost Prediction. - Aditya Shinde; Purva Raut (ISDA (1), 2018)

System Statistics Learning-Based IoT Security: Feasibility and Suitability. - Fangyu Li; Aditya Shinde; Yang Shi 004; Jin Ye 001; Xiang-Yang Li 001; Wen-Zhan Song 001 (IEEE Internet Things J., 2019)

Enhanced Cyber-Physical Security in Internet of Things Through Energy Auditing. - Fangyu Li; Yang Shi 004; Aditya Shinde; Jin Ye 001; Wen-Zhan Song 001 (IEEE Internet Things J., 2019)

Active Deception using Factored Interactive POMDPs to Recognize Cyber Attacker's Intent. - Aditya Shinde; Prashant Doshi; Omid Setayeshfar (CoRR, 2020)

Cyber Attack Intent Recognition and Active Deception using Factored Interactive POMDPs. - Aditya Shinde; Prashant Doshi; Omid Setayeshfar (AAMAS, 2021)

Diabetic retinopathy using image processing and deep learning. - Debabrata Swain; Sanket Sanjay Bijawe; Prasanna Prasad Akolkar; Aditya Shinde; Mihir Vijay Mahajani (Int. J. Comput. Sci. Math., 2021)

Experimental Investigation of CT Scan Imaging Based COVID-19 Detection with Deep Learning Techniques. - Aditya Shinde; Anu Bajaj; Ajith Abraham (ISDA (4), 2022)

NodeMCU Based Weather Monitoring System. - Rohi Bindal; Aniruddha Yadav; Prajjwal Dewanzan; Aditya Shinde; Yuvraj Salaria; Shubhangi Deokar (ICCST, 2023)

Modeling Cognitive Biases in Decision-theoretic Planning for Active Cyber Deception. - Aditya Shinde; Prashant Doshi (AAMAS, 2024)

Modeling Behavioral Preferences of Cyber Adversaries Using Inverse Reinforcement Learning. - Aditya Shinde; Prashant Doshi (CoRR, 2025)