Nitin Kulkarni

According to our database, Nitin Kulkarni authored at least 10 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Drive-Through 3D Vehicle Exterior Reconstruction via Dynamic-Scene SfM and Distortion-Aware Gaussian Splatting.

Nitin Kulkarni, Akhil Devarashetti, Charlie Cluss, Livio Forte, Philip Schneider, Chunming Qiao, Alina Vereshchaka

CoRR, March, 2026

2025

Spatiotemporal Wildfire Prediction and Reinforcement Learning for Helitack Suppression.

Shaurya Mathur, Shreyas Bellary Manjunath, Nitin Kulkarni, Alina Vereshchaka

Proceedings of the International Conference on Machine Learning and Applications, 2025

Attention-Based Offline Reinforcement Learning and Clustering for Interpretable Sepsis Treatment.

Punit Kumar, Vaibhav Saran, Divyesh Patel, Nitin Kulkarni, Alina Vereshchaka

Proceedings of the International Conference on Machine Learning and Applications, 2025

Rig-Aware 3D Reconstruction of Vehicle Undercarriages using Gaussian Splatting.

Nitin Kulkarni, Akhil Devarashetti, Charlie Cluss, Livio Forte, Dan Buckmaster, Philip Schneider, Chunming Qiao, Alina Vereshchaka

Proceedings of the International Conference on Machine Learning and Applications, 2025

2023

Dynamic Modeling and Forecasting of Epidemics Incorporating Age and Vaccination Status.

Nitin Kulkarni, Chunming Qiao, Alina Vereshchaka

Proceedings of the Social, Cultural, and Behavioral Modeling, 2023

2022

Optimizing Pharmaceutical and Non-pharmaceutical Interventions During Epidemics.

Nitin Kulkarni, Chunming Qiao, Alina Vereshchaka

Proceedings of the Social, Cultural, and Behavioral Modeling, 2022

2021

Impact of climate change on the distribution of Sal species.

Shambhu Nath Mishra, Hari Shankar Gupta, Nitin Kulkarni

Ecol. Informatics, 2021

Optimization of Mitigation Strategies During Epidemics Using Offline Reinforcement Learning.

Alina Vereshchaka, Nitin Kulkarni

Proceedings of the Social, Cultural, and Behavioral Modeling, 2021

2016

Formal verification of avionics self adaptive software: A case study.

Rajanikanth Nagaraj Kashi, Meenakshi D'Souza, S. Kumar Baghel, Nitin Kulkarni

Proceedings of the 9th India Software Engineering Conference, 2016

Incorporating adaptivity using learning in avionics self adaptive software: A case study.

Rajanikanth Nagaraj Kashi, Meenakshi D'Souza, S. Kumar Baghel, Nitin Kulkarni

Proceedings of the 2016 International Conference on Advances in Computing, 2016