Abhishek Dubey

Abhishek Dubey

Associate Professor of Computer Science, Electrical Engineering and Computer Engineering

Vanderbilt University

Dr. Abhishek Dubey is an Associate Professor of Computer Engineering, Electrical Engineering and Computer Science at Vanderbilt University, Senior Research Scientist at the Institute for Software-Integrated Systems. He is also the co-founder and chief science officer of Mobius Ai, Inc - an early stage company aiming to revolutionize the field of fleet management. Their reconfigurable AI platform is designed to enhance operational efficiency, promote sustainability, and reduce uncertainties across a variety of sectors, including public transportation, logistics, and delivery services.

At Vanderbilt University, Abhishek directs the SCOPElab at the Institute for Software Integrated Systems. His broad research interest is in the design and operation of decision procedures for societal-scale Cyber-physical Systems (CPS) with a focus on public transit systems, emergency response systems, and power grids. For these systems, his lab investigates the principled non-myopic optimization methods that not only consider the system operations but also consider resilience, performance, and assurance. He currently leads smart and connected community research efforts focusing on design and optimization of public transit systems in Chattanooga, TN and Nashville, TN through his group smarttransit.ai and the emergency response system optimization through his group statresp.ai.

He has published more than 200 research articles and has an h-index of 36. Key research results include the design of hierarchical decision procedures for responding to motor vehicle crashes, the design of efficient public transit operations and the design of transactive energy systems. His other contributions include middleware for online fault-detection and recovery in software-intensive distributed systems and a robust software model for building cyber-physical applications, along with spatial and temporal separation among different system components, which guarantees fault isolation. Abhishek received the NSF Career award in 2023. His work has been funded by NSF, NASA, DOE, and ARPA-E. AFRL, DARPA, Nissan, Siemens, Cisco, and IBM. Abhishek completed his Ph.D. in Electrical Engineering from Vanderbilt University in 2009. He received his Masters in Electrical Engineering from Vanderbilt University in August 2005 and completed his undergraduate studies in Electrical Engineering from the Indian Institute of Technology, Banaras Hindu University, India, in May 2001.

Research Areas

Artificial Intelligence

Decision Making Under Uncertainty

Cyber-Physical Systems

Public Transit, Emergency Response Systems, Power Grids

Resilience

Fault-tolerance, Anomaly detection, Mitigation

Impact and Highlights

  • Abhishek is the general co-chair of ICCPS 2024.
  • Abhishek was awarded the NSF Career grant in January 2023.
  • Abhishek is the Program Co-Chair of ICCPS 2023 and General Chair of SmartComp 2023, two premier conferences in the areas of smart and connected communities and cyber-physical systems.
  • The Adviser framework based on the microtransit algorithms developed by our team won the IJCAI 2022 Social Good Best Paper Award. The project is being piloted in Nigeria to help with vaccination program.
  • The research on incident prediction and proactive stationing was identified as a as a high value project in the Safety, Security, and Emergencies category by the AASHTO Research Advisory Committee. The highlight of the work was the analysis of showing approximately 40 percent reduction in incident response time on Tennessee highways. It was presented at TRB 2023 as a poster.
  • Abhishek was named as the Research Champion Innovator by Google Cloud for 2023.
  • The results from our work on transithub was transferred to Metropolitan Transit Authority of Nashville.
  • Technical co-chair of the Connected Nashville Strategy Document in 2018.
  • Led Nashville projects at the Global Cities Team Challenge organized by the National Institute of Standards and Technology (NIST) between 2015 and 2017. The projects received funding from National Science Foundation and included collaborative work with Nashville Metropolitan Transit Authority (MTA) and Nashville Fire Department.
  • Abhishek was selected as one of the Research Innovators in 2022 by Google Cloud.
  • Led the Gulch Traffic Density Assessment Project in collaboration with Nashville Planning Department between 2017 and 2018.
  • Our research with Nashville through initiatives such as Transit Hub has lead to an ongoing collaboration between Nashville and Vanderbilt University. The first event was hosted in January 2022
  • Our paper on Anomaly based Incident Detection in Large Scale Smart Transportation Systems was selected as the best paper nominee award at the 13th ACM/IEEE International Conference on Cyber-Physical Systems.

Patents

  • Forecasting Energy Consumption in a Mixed Transit Fleet. Abhishek Dubey, Michael Wilbur, Ayan Mukhopadhyay, Aron Laszka. USA Provisional Patent Application, 2021. Full Application is Under Review.
  • Data-Driven Forecasting of Cascading Effects of in Networked Systems. Provisional Patent 2019.

Software

  • Smart Transit - Software as a service cloud platform for transit agencies focusing on energy and schedule optimization.
  • Statresp - Software as a service cloud platform for state department of transportation and city emergency departments focusing on resource allocation, optimization and dispatch.
  • CoSMoS - open source ARINC-653 compliant operating system.
  • MODICUM - online market software for enabling computational outsourcing for batch computations in smart cities.
  • Resilient Information Architecture Platform for Smart Grid, now a Linux foundation project.
  • ARINC-653 emulator for Linux and the first open source operating system implementation for Future Airborne Capability Environment (FACE).
  • Modular middleware for integrating blockchain and CPS called SolidWorx.
  • CHARIOT, a reasoning engine for online reconfiguration of cyber physical systems.
  • ReSonAte, A Runtime Risk Assessment Framework for Autonomous Systems
  • TRANSAX - a middleware for transactive energy systems.
  • F6MDK, a full stack implementation of a containerized application system for fractionated satellites.

Experience

 
 
 
 
 
Founder
Mobiusai.tech
December 2022 – Present Nashville, TN
Focusing on Transit System Optimization Software
 
 
 
 
 
Associate Professor of Computer Science, Computer Engineering and Electrical Engineering
August 2022 – Present Nashville, TN
 
 
 
 
 
Senior Research Scientist
August 2016 – Present Nashville, TN
 
 
 
 
 
Expert
April 2022 – Present Nashville, TN
Expert for smart and connected community and CIVIC programs
 
 
 
 
 
Assistant Professor of Computer Science, Computer Engineering and Electrical Engineering
August 2016 – August 2022 Nashville, TN
 
 
 
 
 
Research Scientist
May 2009 – August 2016 Nashville, TN
 
 
 
 
 
Software Engineer
IBM
June 2001 – August 2003 Gurgaon, India

Education

 
 
 
 
 
Ph.D. Electrical Engineering
Vanderbilt University
August 2003 – May 2009 Nashville, TN
Using Model-Based Techniques for Improving Performance and Reliability in High-Performance Scientific Computing.
 
 
 
 
 
M.S. Electrical Engineering
Vanderbilt University
August 2003 – May 2005 Nashville, TN
Metamodel Based Language and Computation Platform for Algorithmic Analysis of Hybrid Systems.
 
 
 
 
 
Bachelor of Technology, Electrical Engineering (With Honors)
Indian Institute of Technology, Banaras Hindu University
August 1997 – May 2001 Varanasi, India

Recent Publications

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(2024). Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes. 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

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(2024). Decision Making in Non-Stationary Environments with Policy-Augmented Search. 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

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(2024). Forecasting and Mitigating Disruptions in Public Bus Transit Services. 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

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(2024). Reinforcement-Learning-Based Proactive Control for Enabling Power Grid Resilience to Wildfire. IEEE Transactions on Industrial Informatics.

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(2023). Designing a Human-Centered AI Tool for Proactive Incident Detection Using Crowdsourced Data Sources to Support Emergency Response. Digit. Gov.: Res. Pract..

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Contact

Contact me at first dot last name at vanderbilt edu