Mr. Ashutosh Pandey

Information Technology

Phone:0
Email: ashutoshpandey@dtu.ac.in

Qualifications

B.Tech(CSE), M. Tech(CSE), Ph.D(Pursuing)

Areas of Interest

Vision-and-language Model, Vision-and-language Navigation, Deep Learning, Computer Vision, NLP

Ashutosh Pandey is pursuing Ph.D. degree from the Delhi Technological University, India since January 2021. He is currently working as an assistant professor in the Department of Information Technology at DTU. He is presently engaged in research within the domain of the Vision-and-language Model (CLIP, BLIP) in Vision-and-language Navigation, which entails guiding an embodied agent through visually complex environments based on verbal instructions. This integrates visual perception, language comprehension, and decision-making. The challenge lies in the agent’s ability to process and reason with visual and textual data to navigate effectively. Ashutosh received his B.Tech degree in 2013 from the Institute of Electronics and Telecommunication Engineers, Delhi, India, and his M.Tech degree in 2016 from Guru Gobind Singh Indraprastha University, Delhi, India.

Experience

Assistant Professor, SRMIST, Delhi, India.                                                      Aug 2019 - Dec 2019 Lectured on Computer Science courses, engaged in curriculum development, and supervised research.

Assistant Professor, GNIOT, Greater Noida, India.                                        Aug 2018 - July 2019 Taught undergraduate courses, conducted research, and guided student projects in Computer Science.

Assistant Professor,  PIET, Panipat, India.                                                    Aug 2016 - July 2017 Delivered lectures, contributed to the department’s research initiatives, and mentored students.

Research Publications (Journal papers)

  1. Rewat Sachdeva, Raghav Gakhar, Sharad Awasthi, Kavinder Singh, Ashutosh Pandey, Anil Singh Parihar, “Uncertainty and Noise Aware Decision Making for Autonomous Vehicles - A Bayesian Approach”  Published in  IEEE Transactions on Vehicular Technology, 2024 (Impact Factor: 3.6), (Pub: IEEE).
  2. Kavinder Singh, Ashutosh Pandey, Akshat Agarwal, Mohit Kumar Agarwal, Aditya Shankar and Anil Singh Parihar. " FRN: Fusion and recalibration network for low-light image enhancement " Published in Multimedia Tools and Applications, 2023 (Impact Factor: 3.6), (Pub: Springer).

Research Publications (Conference papers)

Shruti Gupta, Ashutosh Pandey, Vikram Bali “A Review on Sentiment Analysis”, International Conference on Communication, Computing and Networking (ICCCN 2017), ICCCN-17-178, 715-720, March 2017.

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Last Updated : 2025-05-01 09:15:27