Dr. Bindu Verma

                                                           

Dr. Bindu Verma is a faculty member in the Department of Information Technology at Delhi Technological University( Formerly known as Delhi College of Engineering). She earned the Doctorate degree in Automated Intent Recognition using Hand Gesture and Face Expression Analysis from School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi. She has completed his M.Tech from Jawaharlal Nehru University in Computer Science in 2015.  Before joining Delhi Technological University, she has served as an Assistant Professor in the Department of CSE & IT, Jaypee Institute of Information Technology, Noida for more than three years. She has also worked as Software Engineer in Accenture India Pvt. Ltd. Banglore.

Dr. Bindu Verma is passionate to work in the area of computer vision, machine learning, human-computer interaction, intelligent systems, affective state monitoring. She had made substantial contributions to the field of human-computer interaction, emotion recognition, and intent recognition with many research articles published in reputative journals such as Elsevier, Springer including IEEE transaction. She also serve as a reviewer of many International Journals such as IET intelligent transport system, IEEE Transactions on Circuits and Systems for Video Technology, International Journal of Engineering Applications for Artificial Intelligence, Expert Systems, The Visual Computers, etc.

 

• Delhi Technological University, New Delhi, India  December 2020- Present  Assistant Professor
•  Jaypee Institute Of Information Technology, Noida August 2017- December 2020 Sr. Assistant Professor
• Accenture Private India Limited March 2013-– August 2013 Associate Software Engineer Worked as a Software Developer.

 

1. Programming Fundamentals

2. Computer Vision

3. Theory of Computation

4. Data Structures

5. Introduction to Mobile Application Development

6. Open Source Software Programming Lab

7. Software Development Fundamentals-1 & 2

8. Deep Learning

9. Advance Design Analysis

 

 

1. Member of IEEE Professional

2. Member of IEEE ITSS Society

3. ISTE Membership

4. CSI Membership

International Journals :

1.  Singh, Ranu, Bindu Verma, and Dinesh Kumar Vishwakarma. "Frequency–spatial guided deformable fusion for X-ray prohibited item detection." Journal of Real-Time Image Processing 23.3 (2026): 93. SCI: IF [4.5]
2. Tripathi, R., Verma, B. Ensemble learning with DDA loss for managing inter and intra class variation in hand gesture recognition. SIViP 20, 184 (2026). https://doi.org/10.1007/s11760-026-05205-9 SCI: IF [2.7]
3.  Agarwal, L., Verma, B. Towards explainable AI: multi-modal transformer for video-based image description generation. SIViP 20, 141 (2026). https://doi.org/10.1007/s11760-026-05233-5 SCI: IF [2.7]
4. Agarwal, Lakshita, and Bindu Verma. "Enriching image description generation through multi-modal fusion of VGG16, scene graphs and BiGRU." The Visual Computer (2025): 1-21. SCI: IF [3.4]
5. Tripathi, Reena, and Bindu Verma. "Tri-modal fusion for dynamic hand gesture recognition: Integrating RGB, depth, and skeleton data." Signal Processing: Image Communication (2025): 117440. SCI: IF [2.1]
6. Nidhi, Verma, B.. "In-the-wild facial emotion recognition using relation-aware geometric features and CapsNet." Computers and Electrical Engineering 128 (2025): 110685.
7. Nidhi, Verma, B. A lightweight convolutional swin transformer with cutmix augmentation and CBAM attention for compound emotion recognition. Appl Intell (2024). https://doi.org/10.1007/s10489-024-05598-5 [SCI: IF 5.3]
8. Tripathi, R., Verma, B. Motion feature estimation using bi-directional GRU for skeleton-based dynamic hand gesture recognition. SIViP (2024). https://doi.org/10.1007/s11760-024-03153-w [SCIE: IF 2.6]
9. Agarwal, L., Verma, B. From methods to datasets: A survey on Image-Caption Generators. Multimedia Tools Appl 83, 28077–28123 (2024). https://doi.org/10.1007/s11042-023-16560-x [SCIE: IF 3.6]
10. Tripathi, R., Verma, B. Survey on vision-based dynamic hand gesture recognition. Vis Comput (2023). https://doi.org/10.1007/s00371-023-03160-x [SCIE: IF 3.5]
11. Nidhi, Verma, B. From methods to datasets: a detailed study on facial emotion recognition. Appl Intell 53, 30219–30249 (2023). https://doi.org/10.1007/s10489-023-05052-y [SCI: IF 5.3]
12. Sharma, P., Arya, R., Verma, R., Verma, B. Conv-CapsNet: capsule based network for COVID-19 detection through X-Ray scans. Multimed Tools Appl 82, 28521–28545 (2023). https://doi.org/10.1007/s11042-023-14353-w [SCIE: IF 3.6]
13. H. Mittal and B. Verma, "CAT-CapsNet: A Convolutional and Attention Based Capsule Network to Detect the Driver’s Distraction," in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 9, pp. 9561-9570, Sept. 2023, doi: 10.1109/TITS.2023.3266113. [SCIE: IF 8.5]
14. Verma, B. (2022). A two stream convolutional neural network with bi-directional GRU model to classify dynamic hand gesture. Journal of Visual Communication and Image Representation, 87, 103554.[SCIE: IF 2.6]
15. Verma, B., Choudhary, A. Affective state recognition from hand gestures and facial expressions using Grassmann manifolds. Multimed Tools Appl 80, 14019–14040 (2021). https://doi.org/10.1007/s11042-020-10341-6 [SCIE: IF 3.6]
16. Verma, B., Choudhary, A. Grassmann manifold based dynamic hand gesture recognition using depth data. Multimed Tools Appl 79, 2213–2237 (2020). https://doi.org/10.1007/s11042-019-08266-w [SCIE: IF 3.6]
17. Verma, B., & Choudhary, A. (2018). Framework for dynamic hand gesture recognition using Grassmann manifold for intelligent vehicles. IET Intelligent Transport Systems, 12(7), 721-729. [SCIE: IF 3.2]

International Conferences:

1. Bindu Verma, and Ayesha Choudhary. “Unsupervised learning based static hand gesture recognition from RGB-D sensor.” In International Conference on Soft Computing and Pattern Recognition,pp. 304-314. Springer, Cham, 2016.
2. Bindu Verma, and Ayesha Choudhary. “Deep Learning Based Real-Time Driver Emotion Monitoring.” In IEEE International Conference on Vehicular Electronics and Safety (ICVES), pp.1-6., 2018.
3. Bindu Verma, and Ayesha Choudhary, “A Framework for Driver Emotion Recognition using Deep Learning and Grassmann Manifolds”, In 2018 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 1421-1426, 2018.
4. Gupta I, Garg N, Aggarwal A, Nepalia N, Verma B. Real-time driver's drowsiness monitoring based on dynamically varying threshold. In2018 Eleventh International Conference on Contemporary Computing (IC3) 2018 Aug 2 (pp. 1-6). IEEE.
5. Bindu Verma, and Ayesha Choudhary, Dynamic Hand Gesture Recognition using Convolutional Neural Network with RGB-D Fusion. InProceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing 2018 Dec 18 (pp. 1-8).

•  Coomendable Research Excellence Award DTU 2025 

•  Premier Research Excellence Award and  Coomendable Research Excellence Award DTU 2024 

• Coomendable Research Excellence Award DTU  2022, 2023

• Cleared UGC- Net in December 2013 and June 2014, December 2014 and June 2015. Certificate No: 141023605

• 2013: Cleared GATE Examination with 98.9 Percentile.

• Awarded Junior Research Fellowship and Senior Research Fellowship from UGC in 2015. Award No: F./2014-15/NFO-2014-15-OBC-UTT-6082 /(SA-III/Website)

• Awarded an Financial Assistance, International Travel Support(ITS) from Science and Engineering Research Board (SERB), File No: File Number: ITS/2018/003824

S.No.	Project Title	Role	Funding Agency	Budget	Status
1	Detection of Prohibited Objects from X-Ray Images for Airport Security	Principal Investigator (PI)	DTU Sponsored under Young Faculty Grant Scheme	5,00,000 (5 Lakhs INR)	Ongoing

NA

Ph.D Degree Awarded:

S.No.	Roll No.	Student Name	Thesis Title	Supervisor	Viva-Voce Date	Notification No.
1	2K20/PHDIT/02	Reena Tripathi	Dynamic Hand Gesture Recognition Framework for Human-Computer Interaction	Dr. Bindu Verma	9 Dec 2024	DTU/Results/Ph D./2024/716
2	2K21/PHDIT/05	Lakshita Agarwal	Design a Framework for Generation of Image Description using Deep Learning	Dr. Bindu Verma	14 Aug 2025	DTU/Results/Ph D./2025/822
3	2K21/PHDIT/04	Nidhi	Development of Framework for Facial Emotion Recognition	Dr. Bindu Verma	17 Dec 2024	DTU/Results/Ph D./2024/75

 

 

 

Ph.D. Ongoing:

 

S.No.	Roll No.	Student Name	Thesis Title/Broad Research Area	Supervisor	Co-Supervisor	Date of Admission
1.	24/PHDIT/504	Sonam Singh	Deep Fake Detection	Dr. Bindu Verma	Dr. Varsha Sisaudia	13th Jan 2025
2.	24/PHDIT/502	Prakhar Mishra	Design and Development of Vision-based Environmental Reasoning Segmentation Framework	Dr. Bindu Verma	-	14th Jan 2025
3.	25/PHDIT/07	Nishant	Design and Development of Image Super-Resolution Framework	Dr. Bindu Verma	Prof. Kapil Sharma	1st  Aug 2025
4.	25/PHDIT/08	Renu Kumari Jha	Environmental monitoring using Deep learning and Computer Vision	Dr. Bindu Verma	Dr. Ankit Yadav	1st  Aug 2025
5.	25/PHDIT/502	Khushi Jindal	Design and Development of Deep Learning Frameworks for Neuroimaging Analysis	Dr. Bindu Verma	-	9th Jan,2026
6.	26/PHDIT/002	Ranu Singh	Development of robust Deep Learning Frameworks for Prohibited Item Detection in X-ray Security Imagery	Prof. Dinesh Kumar Vishwakarma	Dr. Bindu Verma	24th  July 2026
7.	26/PHDIT/007	Muhammed Raihan P. S.	Assistive Tech	Dr. Shally Gupta	Dr. Bindu Verma	24th July 2026

 

 

 

 

 

 

 

 

 

 

 

 

M.Tech Project-II Completed:

Candidate Name	Roll No.	Degree	Dissertation Title
Kaustav Sen	2K21/ISY/12	Information Systems	Enhancing Heart Disease Prediction Performance with a Soft Voting Ensemble and Additional Techniques
Aarti Soni	2K21/ISY/1	Information Systems	Emotion Detection Using Separable CNN
Hemsagar Meher	2K22/ISY/8	Information Systems	Context Based Emotion Recognition Using EMOTIC Dataset
Shujaa Ahmad	2K22/ISY/18	Information Systems	Forgery Detection in Digital Image Using CNN
Manish Kumar	23/ITY/11	Information Technology	Face Forgery Detection Using Classical and Hybrid Quantum Deep Learning Models
Sujeet Kumar	23/ITY/13	Information Technology	A Comparative Study of Machine Learning and Deep Learning Models for Facial Emotion Recognition
Keshu Shukla	24/ITY/15	Information Systems	Structured Latent Space Exploration with Transformer Encoders for Diversified and Personalized Multi-Rater Medical Image Segmentation
Paras Chandra	24/ITY/13	Information Systems	ACERNet: Adaptive Color and Exposure Residual Network for Lightweight Low-Light Image Enhancement
Ishan Mangal	24/ITY/5	Information Systems	Efficiency-Driven Single Image Super-Resolution Using Attention-Enhanced Residual Feature Distillation Networks