Nitish Gupta

2244, EB-2

890 Oval Dr

Raleigh, NC 27606

With over 4 years of industry experience and 3 years in academia, my research focuses on the development and optimization of safety-critical autonomous systems, such as autonomous vehicles and industrial robot manipulators. I am particularly interested in end-to-end system modeling to ensure each module responds in a timely and reliable manner, utilizing safe control algorithms. Currently, I am exploring the fields of reinforcement learning and real-time systems at RTIS Lab at NC State University.

Previously, I worked as a Research Scientist at Unknot.id, Florida and a Research Engineer II at NHK International Corporation, Michigan. I also served as a research assistant at the Connected and Autonomous Vehicle Research Lab (CAVREL) at UCF.

In my free time, I enjoy taking on exciting new projects, gardening, playing chess, reading books and blogs, and traveling.

News

May 9, 2023	[Hands-on] Ranked 1st in total # of laps, and 3rd in time-trials in the CPS-IoT Week 2023 F1tenth competition.
Dec 1, 2022	[Paper] Industry Challenge paper accepted at RTSS 2022.
Jun 30, 2022	[Hands-on] Ranked 2nd in the USA, 4th in time-trial and 5th in head-to-head internationally in the ICRA 2022 F1tenth competition.
Apr 28, 2022	[In the news] Spectrum News Article: Engineering students advance smart car technology as UCF tests driverless shuttles
Feb 11, 2022	[In the news] Knightly News Video New Autonomous Vehicle team revs up at UCF. (Article 1) (Article 2) (Article 3)

Selected Publications

RTSS

Optimizing Real-Time Performances for Timed-Loop Racing under F1TENTH

Nitish Gupta, Kurt Wilson, and Zhishan Guo

arXiv e-prints, Dec 2022
CAVS

Real-Time Hardware-In-the-Loop Emulation Framework for DSRC-Based Connected Vehicle Applications

Ghayoor Shah, Rodolfo Valiente, Nitish Gupta, and 4 more authors

Sep 2019

Abs

The rapid growth of connected and automated vehicle (CAV) solutions have made a significant impact on the safety of intelligent transportation systems. However, similar to any other emerging technology, thorough testing and evaluation studies are of paramount importance for the effectiveness of these solutions. Due to the safety-critical nature of this problem, large-scale real-world field tests do not seem to be a feasible and practical option. Thus, employing simulation and emulation approaches are preferred in the development phase of the safety-related applications in CAVs. Such methodologies not only mitigate the high cost of deploying large number of real vehicles, but also enable researchers to exhaustively perform repeatable tests in various scenarios. Software simulation of very large-scale vehicular scenarios is mostly a time consuming task and as a matter of fact, any simulation environment would include abstractions in order to model the real-world system. In contrast to the simulation-based solutions, network emulators are able to produce more realistic test environments. In this work, we propose a high-fidelity hardware-in-the-loop remote vehicle emulator (RVE) framework in order to create testing environments for vehicle-to-vehicle (V2V) communication. We put particular emphasis on the real-time communication simulation module (RTCSim) within RVE. The proposed RTCSim is able to run accurately in real-time fashion in contrast to other existing systems, which can potentially boost the development and validation of V2V systems.

Service

1. Reviewed several conference and journal papers from top venues such as, RTSS, RTAS, DAC, TNNLS, TCRTS, TIST, RTNS, HDIS, ICIST, RTCSA, ICICIP, ICESS, MetroCAD, Field Robotics, and others.

2. Served as Program Committee member for 2nd Workshop on Opportunities and Challenges with Autonomous Racing at ICRA 2022.