Prof. Dinesh K. Vishwakarma

Dinesh Kumar Vishwakarma (M'16, SM'19) received Ph.D. degree in the field of Computer Vision and Machine Learning from Delhi Technological University, New Delhi, India, in 2016. He is currently a Professor with the Department of Information Technology, Delhi Technological University. His current research interests include Computer Vision, Deep/Machine Learning, Sentiment Analysis, Fake News Detection, Multimedia Data Analytics, and Crowd Behaviour Analysis. He received research excellence awards from Delhi Technological University in the years 2017-25. He has also been featured among the top 2% scientists in the world by Stanford University researchers from 2021 to the present. He is an Associate Editor of IEEE Transactions on Circuits Systems for Video Technology. He is a reviewer of various journals/transactions of the ACM, IEEE, Elsevier, and Springer. He is a senior member of IEEE, Member of ACM, and a lifetime member of ISTE.

• Professor and Head, Department of Information Technology, Delhi Technological University, Delhi, India.

• Chairperson, Departmental Research Committee, Information Technology

• Associate Editor, IEEE Transactions on Circuit Systems for Video Technology

• Chief Warden, Delhi Technological University, Delhi, India (October 2022-March 2025)

• Associate Dean (Student Discipline) (2018-2021)

• MIS Coordinator TEQIP-III, Delhi Technological University, Delhi, India. (2018-2020)

• Officer In-charge (General Administration), Delhi Technological University, Delhi, India. (June 2017 to September 2018).

• I/C, Examination (Secrecy), Delhi Technological University, Delhi, India. (April 2017 to September 2017).

• Assistant Director (International Affairs), Delhi Technological University, Delhi, India. (April 2017 to July 2017)

• Machine Learning
• Deep Learning
• Foundations of Machine Learning
• Deep Learning and Applications
• Image Analysis
• Computer Vision
• Data Science and Visualization

• IEEE Senior Member
• ACM Member
• ISTE Life time

Please visit

https://scholar.google.com/citations?user=TUsEwA8AAAAJ&hl=en

1. Gahalout, Anjali, and Dinesh Kumar Vishwakarma. "Person identity and gender Estimation using gait biometrics: A review." Modern Approaches in Machine Learning & Cognitive Science: A Walkthrough (2022): 377-392.
2. Vishwakarma, Dinesh Kumar, Jaya Gautam, and Kuldeep Singh. "A robust framework for the recognition of human action and activity using spatial distribution gradients and Gabor wavelet." In International Proceedings on Advances in Soft Computing, Intelligent Systems and Applications: ASISA 2016, pp. 103-113. Singapore: Springer Singapore, 2017.
3. Gahalout, Anjali, and Dinesh Kumar Vishwakarma. "Gender classification using gait energy Images and one shot learning." In Computer Vision and Robotics: Proceedings of CVR 2021, pp. 281-294. Singapore: Springer Singapore, 2022.
4. Kumar, Anukriti, Tanmay Singh, and Dinesh Kumar Vishwakarma. "Intelligent transport system: Classification of traffic signs using deep neural networks in real time." In International Conference on Advanced Production and Industrial Engineering, pp. 207-219. Singapore: Springer Nature Singapore, 2019.
5. Singh, Tej, and Dinesh Kumar Vishwakarma. "Human activity recognition in video benchmarks: A survey." Advances in Signal Processing and Communication: Select Proceedings of ICSC 2018 (2018): 247-259.
6. Vishwakarma, Dinesh Kumar, Jaya Gautam, and Kuldeep Singh. "A robust framework for the recognition of human action and activity using spatial distribution gradients and Gabor wavelet." In International Proceedings on Advances in Soft Computing, Intelligent Systems and Applications: ASISA 2016, pp. 103-113. Singapore: Springer Singapore, 2017.

1. Intelligent monitoring of crops for effective productivity, Application Date : 17/06/202, Application Number : 202111027020, Publication Date : 24/02/2023. Inventors: Dinesh Kumar Vishwakarma, Chhavi Dhiman and Ankit Yadav. Status: Published
2. System to generate recommendations for structural damage in infrastructure, Application Date : 23/05/2025, Application Number : 202511049869, Publication Date : 13/06/2025. Inventor(s): Abhishek Verma, Dinesh Kumar Vishwakarma, Sumit Kumar Sharma, Virender Ranga. Status: Published
3. Computer vision-based system for autonomous identification of economic value of agricultural commodities, Application Date :04/10/2024, Application Number : 202411075266, Publication Date : 27/12/2024. Inventor(s): Abhishek Verma, Dinesh Kumar Vishwakarma, Sumit Kumar Sharma, Virender Ranga. Status: Published
4. System and method for detecting fire prone areas using an unmanned aerial vehicle, Application Date : 30/09/2024, Application Number : 202411073844, Application Number : 202411073844, Inventor(s): Abhishek Verma, Dinesh Kumar Vishwakarma, Sumit Kumar Sharma, Virender Ranga. Status: Published
5. System and method for monitoring sea ice formations in real-time, Application Date : 04/04/2025, Application Number : 202511033470, Publication Date :25/04/2025, Inventor(s): Abhishek Verma, Dinesh Kumar Vishwakarma, Sumit Kumar Sharma, Virender Ranga. Status: Published
6. System and method for autonomous aerial rescue operations, Application Date : 11/11/2024, Application Number : 202411086817, Publication Date :24/01/2025 Inventor(s): Abhishek Verma, Dinesh Kumar Vishwakarma, Sumit Kumar Sharma, Virender Ranga. Status: Published

• Received a "Gold Cumulative Citation Award" in 2023

• Received a "Yearly Citation Award" in 2023

• Received a "Highly Cited Paper and Yearly Citation Award" in 2023

• Featured in the top 2% scientist of the world (Artificial Intelligence and Image Processing, 2024)

• Featured in the top 2% scientist of the world ( Artificial Intelligence and Image Processing, 2023)

• Featured in the top 2% scientist of the world (Artificial Intelligence and Image Processing, 2022)

• Received Best Paper Award in the International Conference on Applied Intelligence and Sustainable Computing (ICAISC-2023)

• Received Best Paper Award in the International Conference in Advances in Power, Signal, and Information Technology (APSIT 2023) 

• Featured in the top 2% of scientists of the world (2411, Artificial Intelligence and Image Processing).

• Received a "Highly Cited Paper and Yearly Citation Award" in 2022

• Received a "Premium and Commendable Research Award" in 2022

• Received a "Premium and Commendable Research Award" in 2021

• Received Best Paper Award in the International Research Conference on Iot Cloud and Data Science (RCICD 2020)

• Received a "Premium and Commendable Research Award" in 2020

• Received a "Commendable Research Award" in 2019

• Received a "Commendable Research Award" in 2018

• Received a "Premium Research Award" in 2017

Ph.D. Under Progress

S.No.	Name of Scholar	Broad Area	Admitted Year	Status
1.	Ms. Geetanjali Bhola	Human activity recognition for PwD	2021	Under Progress
2.	Mr. Sumit Sharma	Role of IoT in Agriculture	2023	Under Progress
3.	Mr. Sajal Agarwal	Investigating the Exposure of Large Language Models (LLMs) to Adversarial Attacks	2024	Under Progress
4.	Ms. Bhawana Verma	AI for multimodal sentiment recognition using deep learning techniques	2023	Under Progress
5.	Ms. Ruchika Parswan	Governance of AI in healthcare sector	2023	Under Progress
6.	Mr. Prashant Verma	Quantum Computing and its application in Machine Learning	2024	Under Progress

Ph.D. Awarded

S.No.	Name of Scholar	Thesis Title	Duration	Status
1.	Dr. Chhavi Dhiman	Identification of Human Actions in Video Sequences	2016-2019	Awarded
2.	Dr. Tej Singh	Human Action and Activity Recognition using Video Sequences	2016-2020	Awarded
3.	Dr. Ashima Yadav	Contextual frameworks for sentiment analysis	2017-2021	Awarded
4.	Dr. Priyanka Meel	Analysis of Information Pollution on Web and Social Media	2018-2021	Awarded
5.	Dr. Deepika Varshney	Detection and Analysis of Fraudulent Content on Web Platforms	2019-2022	Awarded
6.	Dr. Gaurav Tripathi	Crowd Behavior Analysis Using Deep Learning Techniques	2016-2022	Awarded
7.	Dr. Ankit Yadav	Design and Development of Framework to Detect Malicious Manipulations in Multimedia Data	2019-2024	Awarded
8.	Ms. Anusha Chhabra	Design and development of framework for detection of hate content	2020-2024	Awarded
9.	Mr. Deepak Dagar	Development of framework for deepfake detection in multimedia data	2020-2024	Awarded
10.	Mr. Ashish Bajaj	Design of Framework for Adversarial Attacks & Defenses in Classification Models	2021-2024	Awarded
11.	Ms. Ananya Pandey	Design of framework for sentiment analysis using deep learning	2021-2024	Awarded
12.	Dr. Abhishek Verma	Design and Development of AI-Based Frameworks for Environmental and Geospatial Data Analysis	2022-2025	Awarded