Improved relay auto-tuning method for unstable TITO systems. - Nikita Saxena; M. Chidambaram (ETFA, 2016)

Efficient downscaling of satellite oceanographic data with convolutional neural networks. - Nikita Saxena (ACM SIGSPATIAL Special, 2020)

Learning to Detect: A Semi Supervised Multi-relational Graph Convolutional Network for Uncovering Key Actors on Hackforums. - Nikita Saxena; Vinti Agarwal (IEEE BigData, 2021)

Auto-Tuning of Identified Highly Sensitive Parameters for ANAMMOX System: Advanced Modeling Approach. - Alam Nawaz; Nikita Saxena; Amarpreet Singh Arora; Choa Mun Yun; Moonyong Lee (IEEE Trans. Ind. Informatics, 2021)

AI-ML applications in bioprocessing: ML as an enabler of real time quality prediction in continuous manufacturing of mAbs. - Nikita Saxena; Garima Thakur; Naveen G. Jesubalan; Amey Kulkarni; Vinesh B. Yezhuvath; Anurag S. Rathore (Comput. Chem. Eng., 2022)

Intelligent Human-Machine Interface: An Agile Operation and Decision Support for an ANAMMOX SBR System at a Pilot-Scale Wastewater Treatment Plant. - Alam Nawaz; Amarpreet Singh Arora; Wahid Ali; Nikita Saxena; Mohd Shariq Khan; Choa Mun Yun; Moonyong Lee (IEEE Trans. Ind. Informatics, 2022)

Holistic process control framework for smart biomanufacturing: A deep learning driven approach. - Nikita Saxena; Shantanu Banerjee; Naveen G. Jesubalan; Amey Kulkarni; Keshari Gupta; Anurag S. Rathore (Comput. Chem. Eng., 2024)

Agricultural Landscape Understanding At Country-Scale. - Radhika Dua; Nikita Saxena; Aditi Agarwal; Alex Wilson; Gaurav Singh; Hoang Tran; Ishan Deshpande; Amandeep Kaur; Gaurav Aggarwal; Chandan Nath; Arnab Basu; Vishal Batchu; et al. (CoRR, 2024)

Multi-Fidelity Active Learning with GFlowNets. - Alex Hernández-García; Nikita Saxena; Moksh Jain; Cheng-Hao Liu; Yoshua Bengio (Trans. Mach. Learn. Res., 2024)

Farm-Level, In-Season Crop Identification for India. - Ishan Deshpande; Amandeep Kaur Reehal; Chandan Nath; Renu Singh; Aayush Patel; Aishwarya Jayagopal; Gaurav Singh; Gaurav Aggarwal; Amit Agarwal; Prathmesh Bele; Sridhar Reddy; Tanya Warrier; et al. (CoRR, 2025)