F-LaaS: A Control-Flow-Attack Immune License-as-a-Service Model. - Sandeep Kumar; Diksha Moolchandani; Takatsugu Ono; Smruti R. Sarangi (SCC, 2019)

A Machine to Machine Framework for the Charging of Electric Autonomous Vehicles. - Ziyad Elbanna; Ilya Afanasyev 001; Luiz Jonatã Pires de Araújo; Rasheed Hussain; Mansur Khazeev; Joseph Lamptey; Manuel Mazzara; Swati Megha; Diksha Moolchandani; Dragos Strugar (AINA Workshops, 2020)

Performance Prediction for Multi-Application Concurrency on GPUs. - Diksha Moolchandani; Sudhanshu Gupta 002; Anshul Kumar; Smruti R. Sarangi (ISPASS, 2020)

VisSched: An Auction-Based Scheduler for Vision Workloads on Heterogeneous Processors. - Diksha Moolchandani; Anshul Kumar; José F. Martínez; Smruti R. Sarangi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Game Theory-Based Parameter-Tuning for Path Planning of UAVs. - Diksha Moolchandani; Geesara Prathap; Ilya Afanasyev 001; Anshul Kumar; Manuel Mazzara; Smruti R. Sarangi (VLSID, 2021)

Accelerating CNN Inference on ASICs: A Survey. - Diksha Moolchandani; Anshul Kumar; Smruti R. Sarangi (J. Syst. Archit., 2021)

PredStereo: An Accurate Real-time Stereo Vision System. - Diksha Moolchandani; Nivedita Shrivastava; Anshul Kumar; Smruti R. Sarangi (WACV, 2022)

Hardware-assisted mechanisms to enforce control flow integrity: A comprehensive survey. - Sandeep Kumar; Diksha Moolchandani; Smruti R. Sarangi (J. Syst. Archit., 2022)

Performance and Power Prediction for Concurrent Execution on GPUs. - Diksha Moolchandani; Anshul Kumar; Smruti R. Sarangi (ACM Trans. Archit. Code Optim., 2022)

Game Theory-Based Parameter Tuning for Energy-Efficient Path Planning on Modern UAVs. - Diksha Moolchandani; Kishore Yadav; Geesara Kulathunga; Ilya Afanasyev 001; Anshul Kumar; Manuel Mazzara; Smruti Sarangi (ACM Trans. Cyber Phys. Syst., 2022)

AMPeD: An Analytical Model for Performance in Distributed Training of Transformers. - Diksha Moolchandani; Joyjit Kundu; Frederik Ruelens; Peter Vrancx; Timon Evenblij; Manu Perumkunnil (ISPASS, 2023)

Analyzing GPU Energy Consumption in Data Movement and Storage. - Paul Delestrac; Jonathan Miquel; Debjyoti Bhattacharjee; Diksha Moolchandani; Francky Catthoor; Lionel Torres; David Novo (ASAP, 2024)

Multi-Level Analysis of GPU Utilization in ML Training Workloads. - Paul Delestrac; Debjyoti Bhattacharjee; Simei Yang; Diksha Moolchandani; Francky Catthoor; Lionel Torres; David Novo (DATE, 2024)

A Survey of End-to-End Modeling for Distributed DNN Training: Workloads, Simulators, and TCO. - Jonas Svedas; Hannah Watson; Nathan Laubeuf; Diksha Moolchandani; Abubakr Nada; Arjun Singh; Dwaipayan Biswas; James Myers; Debjyoti Bhattacharjee (CoRR, 2025)