Dr. S. Vidhusha is an Assistant Professor in the Department of Computer Science and Engineering, at Shiv Nadar University Chennai. She has a teaching experience of 13+ years in the Academia. Prior joining SNUC, she has served for over 10 years as Assistant Professor in the Department of IT, SSN College of Engineering, Chennai. She has completed her Ph.D from Faculty of Information and Communication Engineering, Anna University, Chennai in the area of Cognitive Neuroscience in 2020. She has over 8 years of research experience the field of cognitive neuroscience, brain disorder studies and medical image processing. She had opportunities to visit countries like Australia & USA. During her visit to the United States, she had been to Drexel University, Philadelphia for exploring collaborative research prospects. She is an member in the international panel of VR experts at the Software Sustainable Institute, UK.

Work Experience

13+ years (Research : 8 yrs)

• 08/22- Till date -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

1. Ashwinth Janarthanan, Vidhusha Srinivasan “Multi-objective cluster headbased energy aware routing using optimized auto-metric graph neural network for secured data aggregation in Wireless Sensor Network”. Int J Commun Syst.2024; 37(3):e5664. doi:10.1002/dac.5664
2. Ashwinth Janarthanan, Vidhusha Srinivasan “Cycle-Consistent Generative Adversarial Network and Crypto Hash Signature Token-based Block chain Technology for Data Aggregation with Secured Routing in Wireless Sensor Networks”, in the International Journal of Communication Systems, Wiley, Nov 2023. IF: 1.882. Indexed by SCIE. DOI: https://doi.org/10.1002/dac.5675.
3. 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”, June 2022, pp 40-64. https://doi.org/10.1504/IJBET.2022.123258
4. Vidhusha Srinivasan, Udayakumar N 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”, CurrentMedicalImaging(2019)15(1):. https://doi.org/10.2174/1573405615666191111142039.
5. Vidhusha, S., Kavitha, A., “Interhemispherical Investigations on the Functional Connectivity of Autistic resting state fMRI”, International Journal of Cognitive Informatics and Natural Intelligence (IJCINI)., Vol 10, Issue 4., 92- 105, 2016. 6. Sree Sharmila T, Ramar K and Vidhusha S Change Detection of Waterbody in Synthetic Aperture Radar Images, In: International Journal of Image Processing (IJIP), Vol. 6, Issue 4, pp. 233-242, Jul 2012.

1.  Rathish M, Sabesh Raaj, Vidhusha S, Madhan Kumar P, “Touchless Doorbell using Face Detection” 8th International Conference on Computers, Communication and Signal Processing (ICCCSP), 2024, India.
2. S Chrisilla and Tharun R Ragav and S Vidhusha and A. Kavitha, “Investigating Cognitive Global Coordination in normal and autistic children using virtual reality environments – An EEG Study” 10th International IEEE/EMBS Conference on Neural Engineering (NER), 2021, Italy, pp. 1016-1019.
3. Viswath Narayanan R and Yaamini D Vidhusha S, Divya B, Kavitha A, “Cognitive Attention in Autism using Virtual Reality Learning Tool” 18th IEEE International Conference on Cognitive Informatics and Cognitive Computing, Polytechnic Milano, Italy, ICCI*CC 2019.
4. Vidhusha, A. Kavitha, “Investigations on task based functional connectivity patterns in High Functioning Autism “, Proceedings of the International Conference on Mechanics in Medicine and Biology (ICMMB 2017), AusMedtech, Melbourne, 24-25 May, 2017.
5. Sandhya, R. Anandha Sree, S. Vidhusha, A. Kavitha, “Speech Imagery based Vowel Classification using Brain Connectivity Estimators and Machine Learning Techniques”, Proceedings of the International Conference on Mechanics in Medicine and Biology (ICMMB 2017), AusMedtech, Melbourne, 24-25 May, 2017.
6. Vidhusha, A. Kavitha, “Evaluation of Functional Connectivity patterns in highfunctioning Autism using resting state fMRI” in the Proc. of 2nd International Conference on Biomedical Systems, Signals and Images (BSSI) at the Indian Institute of Technology, Madras (IIT-M), Feb 24-26, 2016.
7. Sandhya, C., Vidhusha, S., Gayathri, R. S., & Kavitha, A. “Assessment of functional connectivity in autistic brain fMRI”. In the Intl. Conf. on Cognitive Informatics & Cognitive Computing (ICCI* CC), 2015 at the Tsinghua University, Beijing, pp. 169-174,2015, IEEE Xplore.
8. Vidhusha, S., Kavitha A., “Analysis and evaluation of autistic brain MR images using Learning Vector Quantization and Support Vector Machines,” in Intl. Conf.on Industrial Instrumentation and Control (ICIC), at CoE, Pune,pp.911-916,2015,IEEE Xplore.
9. Pavithra Ramasamy, SavitaaVenkateswaran, S.Vidhusha, “An Efficient Transfer of EHRs on the Cloud using Decaying Window Principle” in the International Conference on Electrical, Computer and Communication Technologies (IEEE ICECCT 2015) at SVS college of Engineering, Coimbatore,pp 673-678, 2015, IEEE Xplore.
10. Vidhusha, T.Sree Sharmila, “A Performance Evaluation and Comparison of Edge Detection Techniques Using SAR Images”, Proceedings of the National Conference on Information and Software Engineering, held at AVIT, Chennai,February 2011. Awarded as, “Best Paper”.
11. Vidhusha, T.Sree Sharmila, “A Comparison of Maximum Likelihood Algorithm and Edge Detection Techniques using SAR Images”, Proceedings of the International Conference on Information and Communication systems, held at S.A. Engineering College, Chennai, March 2011.

Awards

• Recipient of “Young Woman Researcher” award in Cognitive Neuroscience at the 8th International Annual Women’s Summit organized by Venus International Foundation for the year 2023.
• Panel member at the VR forum in the Software Sustainability institute (SSI), UK in collaboration with Purdue University Northwest, Chicago, USA.
• Acting as BoS member in the Department of Science and Humanities, Sri Sairam Engineering College, Chennai.
• Served as an Overseas Project Mentor for Drexel iSTAR student project programme for the undergrad students at Drexel University, Philadelphia, USA.

Area of Research

• Cognitive Neuroscience
• Disorder Studies
• Machine Learning & Deep Learning Techniques
• Computational Intelligence
• Virtual Reality and Augmented Reality