On Non-Randomness of the Permutation after RC4 Key Scheduling. - Goutam Paul 001; Subhamoy Maitra; Rohit Srivastava (IACR Cryptol. ePrint Arch., 2007)

Portable simulation/emulation stimulus on an industrial-strength SoC. - Francisco Torres; Rohit Srivastava; Javier Ruiz; Charles H.-P. Wen; Mrinal Bose; Jayanta Bhadra (ITC, 2009)

SoC Time to Market Improvement through Device Driver Reuse: An Industrial Experience. - Rohit Srivastava; Nandini Mudgil; Gaurav Gupta; Hemanta Mondal (ISED, 2012)

CPK Based IO AC Timing Closure to Reduce Yield Loss and Test Time. - Sandip Ghosh; Rohit Srivastava (VDAT, 2013)

Automatic Test Bench Generation and Connection in Modern Verification Environments: Methodology and Tool. - Rohit Srivastava; Gaurav Gupta; Sarvesh Patankar; Nandini Mudgil (VDAT, 2013)

Development and testing of portable fluorescence reader (PorFloR™). - Vivek Borse; Abhaysinha Satish Patil; Rohit Srivastava (COMSNETS, 2017)

Kick LL: A Smartwatch for Monitoring Respiration and Heart Rate using Photoplethysmography. - Orlando S. Hoilett; Ashlyn M. Twibell; Rohit Srivastava; Jacqueline C. Linnes (EMBC, 2018)

Case Study: SoC Performance Verification and Static Verification of RTL Parameters. - Prokash Ghosh; Rohit Srivastava (MTV, 2019)

Deep Learning for Interictal Epileptiform Spike Detection from scalp EEG frequency sub bands. - Thangavel Prasanth; John Thomas; R. Yuvaraj 001; Jing Jing; Sydney S. Cash; Rima Chaudhari; Yee-Leng Tan; Rahul Rathakrishnan; Rohit Srivastava; Vinay Saini; M. Brandon Westover; Justin Dauwels (EMBC, 2020)

Score-Level Multimodal Biometric Authentication of Humans Using Retina, Fingerprint, and Fingervein. - Rohit Srivastava (Int. J. Appl. Evol. Comput., 2020)

A Study of Five Models Based on Non-clinical Data for the Prediction of Diabetes Onset in Medically Under-Served Populations. - Rohit Srivastava; Sandeep Kumar; Vivudh Fore; Ravi Tomar (ICACDS (2), 2021)

Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features. - Wei Yan Peh; John Thomas; Elham Bagheri; Rima Chaudhari; Sagar Karia; Rahul Rathakrishnan; Vinay Saini; Nilesh Shah; Rohit Srivastava; Yee-Leng Tan; Justin Dauwels (Int. J. Neural Syst., 2021)

Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis. - Thangavel Prasanth; John Thomas; Wei Yan Peh; Jin Jing; Yuvaraj Rajamanickam; Sydney S. Cash; Rima Chaudhari; Sagar Karia; Rahul Rathakrishnan; Vinay Saini; Nilesh Shah; Rohit Srivastava; et al. (Int. J. Neural Syst., 2021)

Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study. - John Thomas; Thangavel Prasanth; Wei Yan Peh; Jin Jing; Yuvaraj Rajamanickam; Sydney S. Cash; Rima Chaudhari; Sagar Karia; Rahul Rathakrishnan; Vinay Saini; Nilesh Shah; Rohit Srivastava; et al. (Int. J. Neural Syst., 2021)

Image Watermarking Approach Using a Hybrid Domain Based on Performance Parameter Analysis. - Rohit Srivastava; Ravi Tomar; Maanak Gupta; Anuj Kumar Yadav; Jaehong Park (Inf., 2021)

Match-Level Fusion of Finger-Knuckle Print and Iris for Human Identity Validation Using Neuro-Fuzzy Classifier. - Rohit Srivastava; Ved Prakash Bhardwaj; Mohamed Tahar Ben Othman; Mukesh Pushkarna; Anushree; Arushi Mangla; Mohit Bajaj; Ateeq Ur Rehman 002; Muhammad Shafiq 002; Habib Hamam (Sensors, 2022)

Influence of Defect Engineering in Nanocrystalline CeO2 for Therapeutics of Reactive Oxygen Species-mediated Disorders. - Sayoni Sarkar; Rohit Srivastava; Ajit R. Kulkarni (EMBC, 2023)