DeepBus: Machine learning based real time pothole detection system for smart transportation using IoT. - Kashish Bansal; Kashish Mittal; Gautam Ahuja; Ashima Singh; Sukhpal Singh Gill (Internet Technol. Lett., 2020)

ABScribe: Rapid Exploration of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models. - Mohi Reza; Nathan Laundry; Ilya Musabirov; Peter Dushniku; Zhi Yuan "Michael" Yu; Kashish Mittal; Tovi Grossman; Michael Liut; Anastasia Kuzminykh; Joseph Jay Williams (CoRR, 2023)

Group Testing for Accurate and Efficient Range-Based Near Neighbor Search : An Adaptive Binary Splitting Approach. - Kashish Mittal; Harsh Shah; Ajit Rajwade (CoRR, 2023)

ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models. - Mohi Reza; Nathan M. Laundry; Ilya Musabirov; Peter Dushniku; Zhi Yuan "Michael" Yu; Kashish Mittal; Tovi Grossman; Michael Liut; Anastasia Kuzminykh; Joseph Jay Williams (CHI, 2024)

BlendNet: An Assisted Digital Distribution Platform for Underserved Populations. - Apurv Mehra; Vishali Sairam; Kashish Mittal (COMPASS, 2024)

Comuniqa: Exploring Large Language Models For Improving English Speaking Skills. - Shikhar Sharma; Manas Mhasakar; Apurv Mehra; Utkarsh Venaik; Ujjwal Singhal; Dhruv Kumar 001; Kashish Mittal (COMPASS, 2024)

Group Testing for Accurate and Efficient Range-Based Near Neighbor Search for Plagiarism Detection. - Harsh Shah; Kashish Mittal; Ajit Rajwade 001 (ECCV (32), 2024)

Comuniqa : Exploring Large Language Models for improving speaking skills. - Manas Mhasakar; Shikhar Sharma; Apurv Mehra; Utkarsh Venaik; Ujjwal Singhal; Dhruv Kumar 001; Kashish Mittal (CoRR, 2024)

Private Benchmarking to Prevent Contamination and Improve Comparative Evaluation of LLMs. - Nishanth Chandran; Sunayana Sitaram; Divya Gupta 001; Rahul Sharma 001; Kashish Mittal; Manohar Swaminathan 001 (CoRR, 2024)

Sakshm AI: Advancing AI-Assisted Coding Education for Engineering Students in India Through Socratic Tutoring and Comprehensive Feedback. - Raj Gupta; Harshit Goyal; Dhruv Kumar 001; Apurv Mehra; Sanchit Sharma; Kashish Mittal; Jagat Sesh Challa (CoRR, 2025)