Dr. S. Vidhusha is an Associate Professor in the Department of Computer Science and Engineering at Shiv Nadar University Chennai, with over 15 years of experience in academia, including more than 11 years in research.

She received her Ph.D. in Cognitive Neuroscience from the Faculty of Information and Communication Engineering, Anna University, in 2020. Her research focuses on cognitive neuroscience, brain disorder studies, and medical image processing, with an emphasis on integrating computational techniques to better understand brain–behaviour relationships.

Her research interests also encompass computer vision and immersive technologies such as Virtual Reality (VR) and Augmented Reality (AR), along with the application of AI techniques to areas such as Glacial Lake Outburst Flood (GLOF) modelling.

In addition to her research, Dr. Vidhusha has been involved in international academic initiatives, including serving as a panel member in a Virtual Reality forum organized by the Software Sustainability Institute (SSI), UK. She has also contributed as an overseas project mentor for undergraduate students at Drexel University, Philadelphia, USA. She has also engaged in academic visits to institutions in the United States and Australia.

Her work reflects a steady commitment to teaching, interdisciplinary research, and mentoring students in their academic and professional growth.

Work Experience

Total Experience: 15+ Years
Research Experience: 11+ Years

• 08/22 – present – Assistant Professor, Computer Science and Engg., SNU Chennai.
• 05/12 – 07/22 – Assistant Professor, Dept of IT, SSN College of Engineering, Chennai.
• 08/11 – 04/12 – Assistant Professor, Dept of CSE, St. Joseph’s College of Engineering Chennai.

Publications

Journals

1. Vidhusha S., Karthika S., Sahana N., Sabari Srinivas A., Selvarajan S., Sivakumar N. R., and Yogarayan S., “Quantitative Investigation on Working Memory Patterns Through EEG Based on Visual Attention Task for Children With Learning Disability,” Frontiers in Systems Neuroscience, vol. 19, p. 1687354, 2026, doi: 10.3389/fnsys.2025.1687354.
2. Ashwinth Janarthanan and Vidhusha Srinivasan, “Multi-Objective Cluster Head-Based Energy Aware Routing Using Optimized Auto-Metric Graph Neural Network for Secured Data Aggregation in Wireless Sensor Networks,”
   International Journal of Communication Systems, vol. 37, no. 3, p. e5664, 2024, doi: 10.1002/dac.5664.
3. Ashwinth Janarthanan and Vidhusha Srinivasan, “Cycle-Consistent Generative Adversarial Network and Crypto Hash Signature Token-Based Blockchain Technology for Data Aggregation With Secured Routing in Wireless Sensor Networks,” International Journal of Communication Systems, Wiley, Nov. 2023, doi: 10.1002/dac.5675. (IF: 1.882, SCIE Indexed)
4. Vidhusha Srinivasan, N. Udayakumar, Hualou Liang, and Kavitha Anandan,
   “A Hybrid Approach for Analysis of Brain Lateralisation in Autistic Children Using Graph Theory Techniques and Deep Belief Networks,”
   International Journal of Business Excellence, pp. 40–64, Jun. 2022, doi: 10.1504/IJBET.2022.123258.
5. Vidhusha Srinivasan, N. Udayakumar, and Kavitha Anandan, “Influence of Primary Auditory Cortex in the Characterization of Autism Spectrum in Young Adults Using Brain Connectivity Parameters and Deep Belief Networks: An fMRI Study,” Current Medical Imaging, vol. 15, no. 1, 2019, doi: 10.2174/1573405615666191111142039.
6. Vidhusha S. and Kavitha A.,“Interhemispherical Investigations on the Functional Connectivity of Autistic Resting State fMRI,” International Journal of Cognitive Informatics and Natural Intelligence, vol. 10, no. 4, pp. 92–105, 2016.
7. Sree Sharmila T., Ramar K., and Vidhusha S., “Change Detection of Waterbody in Synthetic Aperture Radar Images,” International Journal of Image Processing, vol. 6, no. 4, pp. 233–242, Jul. 2012.

Conferences Publications

1. Harshil Kumar, Sundharakumar K B and Vidhusha S, “SurPh-VR: An Immersive Virtual Reality Surgery Room for Exposure-Based Intervention of Surgery-Related Phobia,” International Seminar on Digital Dreamscapes, BITS Pilani, 2026.
2. Athithya, S. Karthika, Hariharan, Vidhusha S., “The Role of ML Algorithms in the Diagnosis of Neurodevelopmental Disorders: A Survey,”7th International Conference on Innovative Trends in Information Technology (ICITIIT), Kottayam, India, Mar. 27–28, 2026.
3. Vighnesh Kamath, Sabari Srinivas A., Vidhusha Srinivasan, and Ashwinth Janarthanan, “Transformer-Based 3D Corneal Surface Mapping from a Monocular Image,” 10th International Conference on Computer Vision and Image Processing (CVIP), IIT Ropar, India, Dec. 10–13, 2025.
4. Paul Steve Mithun B., Raghav Vijayanand, Sahana Priya S., Ashwinth Janarthanan, and Vidhusha Srinivasan, “Few-Shot Learning Using Prototypical Networks for Object Detection in Autonomous Vehicles,” 10th International Conference on Computer Vision and Image Processing (CVIP), IIT Ropar, India, Dec. 10–13, 2025.
5. Susarla Parthiv, Vivek Bala B., and Vidhusha S, “A Machine Learning-Based Ensemble Approach to Predict Remaining Useful Life of Aircraft Engines,”
   2nd International Conference on Pioneering Developments in Computer Science and Digital Technologies, NIT Delhi, India, Dec. 4, 2025, pp. 548–553, doi: 10.1109/IC2SDT68218.2025.11383619.
6. Sriram M. K., Shruti Thiagu, Rathish Manivannan, Harsha Vardhana Anand V., Ipsita Kar, Hemashree Ramesh Babu, Madhan Kumar P., and Vidhusha S,
   “An IoT-Based Glacial Dam Monitoring and Early Warning System,”
   3rd International Conference on Construction Materials and Structures, IIT Tirupati, India, Jul. 3–5, 2025.
7. Harsha Vardhana Anand V., Sriram M. K., Rathish Manivannan, Shruti Thiagu, Ipsita Kar, Hemashree Ramesh Babu, Madhan Kumar P., and Vidhusha S, “IoT-Based Glacial Lake Outburst Flood Risk Analysis and Warning System,” 5th International Conference on Computer Vision and Robotics (ICCVR), NIT Goa, India, Apr. 26, 2025.
8. Rishith Reddy V. S., Karthikeyan Srinivas Chintala, Amsaprabhaa M., and Vidhusha S, “A Vision-Based Gait Analysis and Fall Detection Using YOLOv11 Model,”
   International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Mar. 20–22, 2025.
9. Rathish Manivannan, Sabesh Raaj S., Vidhusha S, and Madhan Kumar P.,
   “Touchless Doorbell Using Face Detection,” 8th International Conference on Computer, Communication and Signal Processing (ICCCSP), Chennai, India, Mar. 21–22, 2024. (Best Paper Award)
10. Renuka G. and Vidhusha S, “Multifaceted Approaches for Facial Image Compression: A Review on State of Art Techniques and Applications,” 5th International Conference on Innovative Trends in Information Technology (ICITIIT), IIIT Kottayam, India, Mar. 15–16, 2024.
11. Chrisilla S., Tharun R. Ragav, Vidhusha S, and Kavitha A., “Investigating Cognitive Global Coordination in Normal and Autistic Children Using Virtual Reality Environments – An EEG Study,” 10th IEEE/EMBS Conference on Neural Engineering (NER), Italy, 2021, pp. 1016–1019.
12. Chrisilla S., Masciantonio A., Divya B., Vidhusha S, and Kavitha A.,
    “Effect of Virtual Reality on the EEG Sub-Band Frequency Powers of Autistic and Control Groups,” 6th International Conference on Biosignals, Images and Instrumentation (ICBSII), 2020.
13. Vidhusha S. and Kavitha A., “Inter-Hemispherical Investigations on Functional Connectivity in Controls and Autism Spectrum Using Resting State fMRI,”
    Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence, 2020.
14. Viswath Narayanan R., Yaamini D., Vidhusha S., Divya B., and Kavitha A.,
    “Cognitive Attention in Autism Using Virtual Reality Learning Tool,”
    18th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCICC)*, Italy, 2019.
15. Vidhusha S. and Kavitha A., “Investigations on Task-Based Functional Connectivity Patterns in High Functioning Autism,” International Conference on Mechanics in Medicine and Biology (ICMMB), Melbourne, Australia, May 24–25, 2017.
16. Sandhya C., Anandha Sree R., Vidhusha S., and Kavitha A., “Speech Imagery-Based Vowel Classification Using Brain Connectivity Estimators and Machine Learning Techniques,” International Conference on Mechanics in Medicine and Biology (ICMMB), Melbourne, Australia, May 24–25, 2017.
17. Vidhusha S. and Kavitha A., “Evaluation of Functional Connectivity Patterns in High-Functioning Autism Using Resting State fMRI,” 2nd International Conference on Biomedical Systems, Signals and Images (BSSI), IIT Madras, India, Feb. 24–26, 2016.
18. Sandhya C., Vidhusha S., Gayathri R. S., Sneha Priya B., and Kavitha A., “Assessment of Functional Connectivity in Autistic Brain fMRI,” IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCICC)*, Beijing, China, 2015, pp. 169–174.
19. Vidhusha S. and Kavitha A., “Analysis and Evaluation of Autistic Brain MR Images Using Learning Vector Quantization and Support Vector Machines,”
    International Conference on Industrial Instrumentation and Control (ICIC), Pune, India, 2015, pp. 911–916.
20. Pavithra Ramasamy, Savitaa Venkateswaran, and Vidhusha S., “An Efficient Transfer of EHRs on the Cloud Using Decaying Window Principle,”
    IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), Coimbatore, India, 2015, pp. 673–678.
21. Vidhusha S. and Sree Sharmila T., “A Performance Evaluation and Comparison of Edge Detection Techniques Using SAR Images,” National Conference on Information and Software Engineering, AVIT, Chennai, India, Feb. 2011. (Best Paper Award)
22. Vidhusha S. and Sree Sharmila T., “A Comparison of Maximum Likelihood Algorithm and Edge Detection Techniques Using SAR Images,”
    International Conference on Information and Communication Systems, S.A. Engineering College, Chennai, India, Mar. 2011.

Awards

• Recipient of the “Young Woman Researcher” Award in Cognitive Neuroscience, presented at the 8th International Annual Women’s Summit, Venus International Foundation (2023).
• Panel Member at the Virtual Reality (VR) Forum, organized by the Software Sustainability Institute (SSI), UK, in collaboration with Purdue University Northwest, Chicago, USA.
• Board of Studies (BoS) Member, Department of Science and Humanities, Sri Sairam Engineering College, Chennai.
• Overseas Project Mentor for the Drexel iSTAR Student Project Program, mentoring undergraduate students at Drexel University, Philadelphia, USA.

Area of Research

• Cognitive Neuroscience
• Computer Vision
• Virtual Reality (VR) & Augmented Reality (AR)
• Glacial Lake Outburst Floods (GLOFs)
• Disorder Studies