Surbhi Madan

Department of Computer Science and Engineering, LASSI Lab, Indian Institute of Technology Ropar, Punjab-140001, India
Mail Id: surbhi.19csz0011@iitrpr.ac.in

I am a postdoc researcher at National Institute of Informatics, Tokyo, Japan with Yamagishi Lab, NII Group. I completed my Ph.D. at LASII Group, Department of Computer Science & Engineering, Indian Institute of Technology Ropar, India, under the supervision of Prof. Abhinav Dhall and Prof. Ramanathan Subramanian. Before joining Ph.D., I have completed my master’s degree from National Institute of Technology, Hamirpur. My research focused on Affective Computing, Human-Computer Interaction, Physiological Sensing, Computer Vision and Applied Deep Learning.

🔥 News

Feb 2026: Served as a peer reviewer for the journal Discover Artificial Intelligence .
Feb 2026: Served as a peer reviewer for the journal Scientific Reports.
Feb 2026: Served as a reviewer for three papers at IEEE FG 2026 .
Feb 2026: Served as a peer reviewer for the journal IEEE Transactions on Multimedia.
Jan 2026: Accepted invitation to serve as a reviewer for ECCV 2026.
Jan 2026: Received a certificate of recognition for paper review contributions at IEEE Mutimedia.
Dec 2025: Served as a peer reviewer for the journal IEEE Transactions on Affective Computing.
Nov 2025: Contributed to the review process of ACM ICMI 2025.
Oct 2025: Accepted invitation to serve as a reviewer for CVPR 2026.
Oct 2025: Our paper titled CSGaze: Context-aware Social Gaze Prediction is accepted for the publication in ICVGIP 2025 to be held at IIT Mandi from December 17.
Oct 2025: Became a reviewer of IEEE Transactions of Affective Computing Journal.
Sep 2025: Awarded funding under Sythetiq Vision Japan to attend IEEE International Joint Conference on Biometrics (IJCB) 2025 at OSaka Japan.
Aug 2025: Became a reviewer of 1M-Deepfakes Detection Challenge of the 33^rd ACM International Conference on Multimedia (MM 2025).
July 2025: Defended Ph.D. Dissertation successfully on 10 July 2025.
June 2025: Our paper title GEMS: GROUP EMOTION PROFILING THROUGH MULTIMODAL SITUATIONAL UNDERSTANDING is accepted for the publication at IEEE MLSP 2025.
June 2025: Submitted the reviews for a paper at International Journal of Artificial Intelligence in Education.

CVIP 2025.

Feb 2025: Our paper titled "Multiview Attention Fusion for Explainable Body Language Behavior Recognition" has been accepted for publication at IEEE Transactions on Affective Computing .
Jan 2025: Our paper title "EEG-based Cognitive Load Estimation of Acoustic Parameters for Data Sonification" is published at IEEE Transactions on Cognitive and Developmental Systems .
Dec 2024: Received travel Grant to attend The Fifth Indian Symposium on Machine Learning (IndoML) hosted by the BITS Pilani Goa Campus from December 21-23, 2024.
Nov 2024: Our paper titled "Explainable human-centered traits from head motion and facial expression dynamics " is accepted for the publication at PLOS ONE Journal.
Aug 2024: A paper titled 'Towards Engagement Prediction: A Cross-Modality Dual-Pipeline Approach using Visual and Audio Features' got accepted at The 32^nd ACM International Conference on Multimedia (MM'24) 28 Oct-01 Nov 2024, Melbourne, Australia.
June 2024: Became a reviewer of the 9^th International Conference on Computer Vision and Image Processing (CVIP 2024).
Dec 2023: Played a role as a volunteer at the 14^th The Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) conference 2023 from 15 - 17 December at IIT Ropar, India.
July 2023: Our paper titled as MAGIC-TBR: Multiview Attention Fusion for Transformer-based Bodily Behavior Recognition in Group Settings" has been accepted for ACM Multimedia 2023 Multimedia Grand Challenges Track.
Dec 2019: Started pursuing Ph.D. at LASII Lab, Computer Science & Engineering Department IIT Ropar advised by Prof. Abhinav Dhall and Prof. Ramanathan Subramanian.

Education

Indian Institute of Technology, Ropar, Punjab, India

Ph.D.

Computer Science and Engineering

CGPA: 9.0
Supervisor: Prof. Abhinav Dhall and Prof. Ramanathan Subramanian

December 2019 - July 2025

National Institute of Technology, Hamirpur, Himachal Pradesh, India

M.Tech.

Computer Science and Engineering

CGPA: 8.89
Supervisor: Prof. Rajeev Kumar

August 2014 - June 2016

Uttar Pradesh Technical University Lucknow, Uttar Pradesh, India

B.Tech.

Computer Science and Engineering

PERCENTAGE: 78.15

Work Experience

Project Researcher (PostDoc)

National Institute of Informatics (NII), Tokyo, Japan

Aug 2025 - Present

Assistant Professor

Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India

July 2016 - November 2019

Research Interests

Affective Computing and Cognitive Science
Machine Learning, Deep Learning, and Computer Vision
Multimodal Information Analysis
Human Computer Interaction (HCI)
Vision Language Models (VLMs)

Publications

📝 Journal

1.			Surbhi Madan, Monika Gahalawat, Tanaya Guha, Roland Goecke, and Ramanathan Subramanian, "Explainable Human-centered Traits from Head Motion and Facial Expression Dynamics" PLOS ONE. [SCI, Q1, IF=2.9]
2.			Gulshan Sharma, Surbhi Madan, Maneesh Bilalpur, Abhinav Dhall, and Ramanathan Subramanian, "EEG-based Cognitive Load Estimation of Acoustic Attributes for Data Sonification" IEEE Transactions on Cognitive and Developmental Systems. [SCI, Q1, IF=5.0]
3.			Surbhi Madan, Rishabn Jain, Ramanathan Subramanian, and Abhinav Dhall, "Multiview Attention Fusion for Explainable Body Language Behavior Recognition" IEEE Transactions on Affective Computing. [SCI, Q1, IF=9.6]

📝 Conferences

1.			Surbhi Madan, Shreya Ghosh, Ramanathan Subramanian, Abhinav Dhall, and Tom Gedeon, "CSGaze: Context-aware Social Gaze Prediction", The 16th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) Dec 17 - 20, 2025, IIT Mandi, Himachal Pradesh, India. [Accepted]
2.			A. Kataria Surbhi Madan, Shreya Ghosh, Tom Gedeon, and Abhinav Dhall, "GEMS: group emotion profiling through multimodal situational understanding", 35th IEEE International Workshop on Machine Learning for Signal Processing (IEEE MLSP 2025) Aug 31 - Sep 3, 2025 , Istanbul, Turkey. [CORE B \| ERA B]
3.			Surbhi Madan, Shreya Ghosh, Lownish Rai Sookha Sookha, Mudasir Ahmad Ganaie, Ramanathan Subramanian, Abhinav Dhall, and Tom Gedeon, "MIP- GAF: A MLLM-annotated Benchmark for Most Important Person Localization and Group Context Understanding", Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025), Feb 28 – Mar 4, 2025, Tucson, Arizona. [CORE A \| Qualis B1]
4.			Deepak Kumar, Surbhi Madan, Pradeep Singh, Abhinav Dhall, and Balasubramanian Raman, "Towards Engagement Prediction: A Cross-Modality Dual-Pipeline Approach using Visual and Audio Features", 32nd ACM International Conference on Multimedia (MM'24) 28 Oct-01 Nov 2024, Melbourne, Australia. *[CORE A \| ERA A]**
5.			Surbhi Madan, Rishabh Jain, Gulshan Sharma, Ramanathan Subramanian, and Abhinav Dhall, "MAGIC-TBR: Multiview Attention Fusion for Transformer-based Bodily Behavior Recognition in Group Setting", Proceedings of the 31st ACM International Conference on Multimedia (MM’23), pp. 9526-9530, October 29 - November 3, 2023, Ottawa, Canada. *[CORE A \| ERA A]**
6.			Surbhi Madan, Monika Gahalawat, Tanaya Guha, and Ramanathan Subramanian, "Head matters: explainable human- centered trait prediction from head motion dynamics", Proceedings of the 23rd ACM International Conference on Multimodal Interaction (ICMI 2021), pp. 435-443, October 18-22, 2021, Montreal, Canada. [CORE B \| Qualis A2]
7.			Surbhi Madan, Deepak Kumar, and Anamika Agnihotri. "Privacy-Preserving Data Aggregation in Wireless Sensor." 2018 International Conference on System Modeling & Advancement in Research Trends (SMART 2018).

Achievements

Qualified GATE Computer Science in 2013, 2014.
Qualified UGC-NET (Computer Science) in Dec 2018.

Professional Membership

Member of IEEE (Institute of Electrical and Electronics Engineers)
Professional member of ACM (Association for Computing Machinery)
Associate member of IEI ( The Institution of Engineers (India) )

Contact

Yamagishi Lab
National Institute of Informatics 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430
Mail ID: madan@nii.ac.jp OR surbhi.19csz0011@iitrpr.ac.in