ProfessorsProfessors of Rochester Institute of TechnologyAbhishek Vashist

Abhishek Vashist

Rochester Institute of Technology

H-index: 8

North America-United States

About Abhishek Vashist

Abhishek Vashist, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Rochester Institute of Technology, specializes in the field of CPU/SoC Design, Machine Learning, Wireless Interconnects.

His recent articles reflect a diverse array of research interests and contributions to the field:

Evaluation of 60 GHz Wireless Connectivity for an Automated Warehouse Suitable for Industry 4.0

DQN Based Exit Selection in Multi-Exit Deep Neural Networks for Applications Targeting Situation Awareness

Evaluation of Wireless Connectivity in an Automated Warehouse at 60 GHz

Smart and Intelligent Automation for Industry 4.0 Using Millimeter-Wave and Deep Reinforcement Learning

KF-Loc: A Kalman filter and machine learning integrated localization system using consumer-grade millimeter-wave hardware

AWARe-Wi: A jamming-aware reconfigurable wireless interconnection using adversarial learning for multichip systems

Security frameworks for intra and inter-chip wireless interconnection networks

Autonomous Vehicles and Machines Conference, at IS&T Electronic Imaging

Abhishek Vashist Information

University	Rochester Institute of Technology
Position	PhD Candidate
Citations(all)	173
Citations(since 2020)	170
Cited By	60
hIndex(all)	8
hIndex(since 2020)	8
i10Index(all)	6
i10Index(since 2020)	6
Email	Access Email
University Profile Page	Rochester Institute of Technology
Google Scholar	View Google Scholar Profile

Abhishek Vashist Skills & Research Interests

CPU/SoC Design

Machine Learning

Wireless Interconnects

Top articles of Abhishek Vashist

Title	Journal	Author(s)	Publication Date
Evaluation of 60 GHz Wireless Connectivity for an Automated Warehouse Suitable for Industry 4.0	Information	Rahul Gulia Abhishek Vashist Amlan Ganguly Clark Hochgraf Michael E Kuhl	2023/9/15
DQN Based Exit Selection in Multi-Exit Deep Neural Networks for Applications Targeting Situation Awareness		Abhishek Vashist Sharan Vidash Vidya Shanmugham Amlan Ganguly Sai Manoj PD	2022/1/7
Evaluation of Wireless Connectivity in an Automated Warehouse at 60 GHz		Rahul Singh Gulia Sayed Ashraf Mamun Abhishek Vashist Amlan Ganguly Clark Hochgraf ...	2022/1/7
Smart and Intelligent Automation for Industry 4.0 Using Millimeter-Wave and Deep Reinforcement Learning		Abhishek Vashist	2022
KF-Loc: A Kalman filter and machine learning integrated localization system using consumer-grade millimeter-wave hardware	IEEE Consumer Electronics Magazine	Abhishek Vashist Maojia Patrick Li Amlan Ganguly Sai Manoj PD Clark Hochgraf ...	2021/7/30
AWARe-Wi: A jamming-aware reconfigurable wireless interconnection using adversarial learning for multichip systems	Sustainable Computing: Informatics and Systems	M Meraj Ahmed Amlan Ganguly Abhishek Vashist Sai Manoj Pudukotai Dinakarrao	2021/3/1
Security frameworks for intra and inter-chip wireless interconnection networks		M Meraj Ahmed Abhishek Vashist Andrew Keats Amlan Ganguly Sai Manoj Pudukotai Dinakarrao	2021/1/22
Autonomous Vehicles and Machines Conference, at IS&T Electronic Imaging		Darshan Bhanushali Robert Relyea Karan Manghi Abhishek Vashist Clark Hochgraf ...	2020
Improving multimodal localization through self-supervision		Robert Relyea Darshan Bhanushali Karan Manghi Abhishek Vashist Clark Hochgraf ...	2020
LiDAR-camera fusion for 3D object detection		Darshan Bhanushali Robert Relyea Karan Manghi Abhishek Vashist Clark Hochgraf ...	2020
Architecting a secure wireless interconnect for multichip communication: An ML approach		MMeraj Ahmed Abhishek Vashist Sai Manoj Pudukotai Dinakarrao Amlan Ganguly	2020/12/15
Indoor Wireless Localization Using Consumer-Grade 60 GHz Equipment with Machine Learning for Intelligent Material Handling		Abhishek Vashist Darshan Ramesh Bhanushali Robert Relyea Clark Hochgraf Amlan Ganguly ...	2020/1/4