Nitish Nagesh

According to our database, Nitish Nagesh authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

Memisis: Orchestrating and Evaluating Synthetic Data for Tabular Health Datasets.

Nitish Nagesh, Mahdi Bagheri, Arshia Harish Puthran, Pengbao Zhou, Muhjaazee Love, Aadi Sharma, Ian Harris, Amir M. Rahmani

CoRR, May, 2026

Evaluating Causal Discovery Algorithms for Path-Specific Fairness and Utility in Healthcare.

Nitish Nagesh, Elahe Khatibi, Thomas Hughes, Mahdi Bagheri, Pratik Gajane, Amir M. Rahmani

CoRR, March, 2026

2025

Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025.

Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor

CoRR, October, 2025

FairTabGen: Unifying Counterfactual and Causal Fairness in Synthetic Tabular Data Generation.

Nitish Nagesh, Salar Shakibhamedan, Mahdi Bagheri, Ziyu Wang, Nima TaheriNejad, Axel Jantsch, Amir M. Rahmani

CoRR, August, 2025

FairCauseSyn: Towards Causally Fair LLM-Augmented Synthetic Data Generation.

Nitish Nagesh, Ziyu Wang, Amir M. Rahmani

CoRR, June, 2025

2024

ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework.

Zhongqi Yang, Elahe Khatibi, Nitish Nagesh, Mahyar Abbasian, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani

CoRR, 2024

Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients.

Mahyar Abbasian, Zhongqi Yang, Elahe Khatibi, Pengfei Zhang, Nitish Nagesh, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

Towards Deep Personal Lifestyle Models Using Multimodal N-of-1 Data.

Nitish Nagesh, Iman Azimi, Tom Andriola, Amir M. Rahmani, Ramesh C. Jain

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

2022

World Food Atlas for Food Navigation.

Ali Rostami, Nitish Nagesh, Amir M. Rahmani, Ramesh C. Jain

Proceedings of the 7th International Workshop on Multimedia Assisted Dietary Management, 2022

2020

RelIoT: Reliability Simulator for IoT Networks.

Kazim Ergun, Xiaofan Yu, Nitish Nagesh, Ludmila Cherkasova, Pietro Mercati, Raid Ayoub, Tajana Rosing

Proceedings of the Internet of Things - ICIOT 2020, 2020

Simulating Reliability of IoT Networks with RelIoT.

Kazim Ergun, Xiaofan Yu, Nitish Nagesh, Ludmila Cherkasova, Pietro Mercati, Raid Ayoub, Tajana Rosing

Proceedings of the 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks, 2020