A micropower analog hearing aid on low voltage CMOS digital process. - A. B. Bhattacharyya; Ram Singh Rana; S. K. Guha; Rajendar Bahl; Sneh Anand; M. J. Zarabi; P. A. Govindacharyulu; Vivek Gupta; Vivek Mohan; Jatin Roy; Amul Atri (VLSI Design, 1996)

Optimal day ahead scheduling of distributed EVs in a smart distribution network. - M. P. Anand; Vivek Mohan; Weerakorn Ongsakul; Reshma Suresh (ISGT Asia, 2015)

Online optimal power management considering electric vehicles, load curtailment and grid trade in a microgrid energy market. - Vivek Mohan; M. P. Reshma Suresh; Jai Govind Singh; Weerakorn Ongsakul; Boddeti Kalyan Kumar (ISGT Asia, 2015)

Elevating education of India's rural village girls through distance learning technology supported by sustainable electricity. - Malini L. M. Frey; Manoj Pokkiyarath; Renjith Mohan; N. B. Sai Shibu; Vidal Conejo Gracia; Vivek Mohan; Siddhan (GHTC, 2017)

Assessing village power grid problems for development of quality and stable supplemental sustainable energy. - Vivek Mohan; Vidal Conejo Garcia; Malini L. M. Frey; Maneesha Vinodini Ramesh; Aryadevi Remanidevi Devidas; N. B. Sai Shibu; Renjith Mohan; Manoj Pokkiyarath (GHTC, 2017)

Microgrid Energy Management Combining Sensitivities, Interval and Probabilistic Uncertainties of Renewable Generation and Loads. - Vivek Mohan; Reshma Suresh; Jai Govind Singh; Weerakorn Ongsakul; Nimal Madhu (IEEE J. Emerg. Sel. Topics Circuits Syst., 2017)

Probabilistic Evaluation of System Adequacy with Variations in Load Demand, Renewable Energy and Generator Topology. - Venkata Sai Aditya Gedda; Vivek Mohan; M. Jisma (TENCON, 2019)

A 75kb SRAM in 65nm CMOS for In-Memory Computing Based Neuromorphic Image Denoising. - Sumon Kumar Bose; Vivek Mohan; Arindam Basu (ISCAS, 2020)

EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary Neuromorphic Vision Sensors. - Deepak Singla; Vivek Mohan; Tarun Pulluri; Andrés Ussa; Bharath Ramesh 001; Arindam Basu (CoRR, 2020)

Future Engineering Curricula: Balancing Domain Competence with CPS Readiness. - Binoy B. Nair; D. S. Harish Ram; Manoj Kumar Panda; A. Jayanth Balaji; T. Gireesh Kumar; Vivek Mohan (IEEE Des. Test, 2020)

CRAM: Collocated SRAM and DRAM With In-Memory Computing-Based Denoising and Filling for Neuromorphic Vision Sensors in 65 nm CMOS. - Xueyong Zhang; Vivek Mohan; Arindam Basu (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

EBBINNOT: A Hardware-Efficient Hybrid Event-Frame Tracker for Stationary Dynamic Vision Sensors. - Vivek Mohan; Deepak Singla; Tarun Pulluri; Andrés Ussa; Pradeep Kumar Gopalakrishnan; Pao-Sheng Sun; Bharath Ramesh 001; Arindam Basu (IEEE Internet Things J., 2022)

Architectural Exploration of Neuromorphic Compression based Neural Sensing for Next-Gen Wireless implantable-BMI. - Vivek Mohan; Wee Peng Tay; Arindam Basu (ISCAS, 2023)

High Performance 5G Mobile SOC Productization with 4nm EUV Fin-FET Technology. - Jun Yuan; Jie Deng; Vicki Lin; Ying Chen; Joseph Chiu; Minghuei Lin; Jun Chen; Deedee Zhang; Yukai Chen; David Liu; Bo Yu; Hao Wang; et al. (VLSI Technology and Circuits, 2023)

Hybrid Event-Frame Neural Spike Detector for Neuromorphic Implantable BMI. - Vivek Mohan; Wee Peng Tay; Arindam Basu (ISCAS, 2024)

Techno-Economic Analysis of Decentralized Residential Microgrid With Optimal Prosumer Selection. - Jithin K. Jose; M. R. Sindhu; Vivek Mohan; Vinu Thomas (IEEE Access, 2024)

STPE: An Energy-Efficient Edge-Device Transformer Inference Processor with Multi-Mode Data-Compression Scheme. - Zhou Wang 005; Haochen Du; Vivek Mohan; Jiuren Zhou; Zhou Shu; Yanqing Xu; Baoyi Han; Xiaonan Tang; Shushan Qiao; Shouyi Yin; Anil A. Bharath; Emmanuel M. Drakakis (ISCAS, 2025)

Event-based Neural Spike Detection Using Spiking Neural Networks for Neuromorphic iBMI Systems. - Chanwook Hwang; Biyan Zhou; Ye Ke; Vivek Mohan; Jong Hwan Ko; Arindam Basu (ISCAS, 2025)

Architectural Exploration of Hybrid Neural Decoders for Neuromorphic Implantable BMI. - Vivek Mohan; Biyan Zhou; Zhou Wang 005; Anil A. Bharath; Emmanuel M. Drakakis; Arindam Basu (ISCAS, 2025)

GPE: A High-Performance Edge GNN Inference Processor with Multi-Parallelism Format-Variation Mechanism. - Zhou Wang 005; Haochen Du; Jiuren Zhou; Zhou Shu; Yanqing Xu; Vivek Mohan; Baoyi Han; Xiaonan Tang; Shushan Qiao; Shouyi Yin; Anil A. Bharath; Emmanuel M. Drakakis (ISCAS, 2025)

Interactive Panel Summaries of the 2024 Voice AI Symposium. - Jean-Christophe Bélisle-Pipon; James T. Anibal; Ruth Bahr; Steven Bedrick; Oita Coleman; David Dorr; Barbara J. Evans; Guy Fagherazzi; Alexander Gelbard; Satrajit Ghosh; Anita Ho; Christie Jackson; et al. (Frontiers Digit. Health, 2025)

Learning in Log-Domain: Subthreshold Analog AI Accelerator Based on Stochastic Gradient Descent. - Momen K. Tageldeen; Yacine Belgaid; Vivek Mohan; Zhou Wang 005; Emmanuel M. Drakakis (CoRR, 2025)