Uttama Lahiri received the Ph.D. degree from Vanderbilt University, USA, preceded by M.Tech. degree from Indian Institute of Technology, Kharagpur, India. Currently, she is an Associate Professor in Electrical Engineering, IIT Gandhinagar. Prior to joining IIT Gandhinagar, she had over 10 years of industrial experience in data handling, signal acquisition, signal processing and hardware-software interface. Her research interests are in the areas of automated rehabilitation techniques for movement disorders, design of diagnostic tools and techniques, and Virtual Reality based Human Computer Interaction. She works on sensory integration while using Eye Tracking and Physiology based modeling techniques.
- Verma, S; Kumar, D; Kumawat, A; Dutta, A and Lahiri, U (2017). A Low-cost Adaptive Balance Training Platform for Stroke Patients: A Usability Study. IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 25, no. 7, pp. 935-944, July 2017 DOI:10.1109/TNSRE.2017.2667406.
- Kumar, Deepesh; Dutta, Anirban; Das, Abhijit and Lahiri, Uttama (2016) “Smarteye: developing a novel eye tracking system for quantitative assessment of oculomotor abnormalities”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, DOI:10.1109/TNSRE.2016.2518222, no. 99, Jan. 2016.
- Kumar, Deepesh; Das, Abhijit; Lahiri, Uttama and Dutta, Anirban (2016) “A human-machine-interface integrating low-cost sensors with a neuromuscular electrical stimulation system for post-stroke balance rehabilitation”, Journal of Visualized Experiments, DOI: 10.3791/52394, no. 110, Apr. 2016.
- Kumar, D., Dutta, A., Das, A., and Lahiri, U. (2016). “Engagement sensitive visual stimulation,” European Journal of Translational Myology, 26(2), 2016.
- Kumar, D., Verma, S., Bhattacharya, S., and Lahiri, U. (2016). Audio-visual stimulation in conjunction with functional electrical stimulation to address upper limb and lower limb movement disorder. European Journal of Translational Myology, 26(2), 2016.
- Kumar, D., Dutta, A. Das, A., and Lahiri, U. (2016). A step towards developing a gaze-based screening tool for neurological disorders. International Journal of Stroke, vol. 11, no. 3 (Supplement), pp. 35-35, Oct. 2016.
- Dutta, Anirban; Kumar, Deepesh; Lahiri, Uttama; Das, Abhijit and Padma, M. V. (2015) “Post-stroke balance rehabilitation under an adaptive multi-level electrotherapy: clinical hypothesis and computational framework”, Neuroscience and Biomedical Engineering, DOI:10.2174/2213385203666150213231656, vol. 3, no. 2, Apr. 2015.
- Dutta, Anirban; Lahiri,Uttama; Das, Abhijit; Nitsche, Michael A. and Guiraud, David (2014) “Post-stroke balance rehabilitation under multi-level electrotherapy: a conceptual review,” Frontiers in Neuroscience, DOI: 10.3389/fnins.2014.00403, vol. 8, Dec. 2014.
- Dutta, A., Kumar, D., Lahiri, U., Das, A., and Padma, M. V. (2014). Post-stroke engagement sensitive balance rehabilitation under an adaptive multi-level electrotherapy: clinical hypothesis and computational framework. Neuroscience and Biomedical Engineering, 2(2), 68-80, 2014.
- Patent filed (Appln.No.: 3959/MUM/2014) on “Eye Tracking System” in December 2014. Then PCT application filed (Appln.No.: PCT/IN2015/000448) on “Smarteye System for Visuomotor Dysfunction Diagnosis and its Operant Conditioning” in December 2015.
- Patent filed (Appln.No.:3911/MUM/2014) on “Multi-parameter Patient Monitoring System” in December 2014.
- Patent filed (Appln. No.: 201621015918) on “A Walking Aid System for a Parkinson’s Disease Affected Person” in May 2016.
- Post Stroke tele-neurohabilitation using an operant conditioning paradigm under volitionally driven transcutaneous neuromuscular electrical stimulation.
Sponsoring Agency: Department of Science and Technology-INRIA.
- Intelligent Adaptive Reality based Stoke Rehabilitation Platform for Elderly.
Sponsoring Agency: Department of Science and Technology.
- Integrating Robotic Gait Training System with Virtual Reality for Gait Rehabilitation – a novel approach in Neurorehabilitation.
Sponsoring Agency: Department of Science and Technology-A STAR
- MindEye:A low-cost, portable, easy-to-use, eye-tracking device integrated with computerized cognitive tests for early diagnosis of Dementia at community level using big-data analytics in cloud under a highly affordable Software-As-A-Service model.
Sponsoring Agency: BIRAC