At the Neuroengineering and Rehabilitation (NER) Lab in the School of Biomedical Engineering at IIT (BHU), my research focuses on integrating cutting-edge technologies to enhance rehabilitation and healthcare solutions. Our primary areas of interest include:

1. Tactile Sensors and Neuromorphic Sensing: We are pioneering the development of advanced tactile sensors and neuromorphic sensing technologies for prosthetic devices, utilizing artificial intelligence (AI) and machine learning (ML) to create responsive and adaptive systems that provide an enhanced sense of touch.
2. Virtual and Augmented Reality for Neurorehabilitation: Our lab is dedicated to designing and evaluating innovative human-machine interfaces using virtual and augmented reality. These technologies facilitate various motor learning tasks in neurorehabilitation, offering engaging and effective solutions for patient recovery.
3. Physiological Signal Monitoring: We leverage AI and ML techniques for the monitoring and processing of physiological signals, aiming to personalize rehabilitation strategies. This approach enhances patient outcomes by tailoring interventions to individual needs and progress.
4. Biomedical Signal Processing: Our research also explores the application of AI and ML in biomedical signal processing for disease diagnosis and prognosis. By developing sophisticated algorithms, we aim to improve the accuracy and reliability of diagnostic processes in healthcare.

Publications

[1] Barigala, V. K., Swarubini, P. J., Ganapathy, N., Karthik, P. A., Kumar, D., & Ronickom, J. F. A. (2025). Evaluating the effectiveness of machine learning in identifying the optimal facial electromyography location for emotion detection. Biomedical Signal Processing and Control, 100, 107012.

[2] Bhavsar, P., Shah, P., Sinha, S., & Kumar, D. (2024). Musical Neurofeedback Advancements, Feedback Modalities, and Applications: A Systematic Review. Applied Psychophysiology and Biofeedback, 1-17.

[3] Kumar B. V., Kumar S. P.,  Kumar G, P., Swarubini PJ, Mythili A, Nagarajan G, Karthick PA, Kumar, D., Jac Fredo AR (2023). Identifying the Optimal Location of Facial EMG for Emotion Detection Using Logistic Regression. Healthcare Transformation with Informatics and Artificial Intelligence, 305, 81.

[4] Al Rumon, M. A., Ravichandran, V., Veeturi, S., Owens, J., Kumar, D., Solanki, D., & Mankodiya, K. (2023, October). ElboSense: A Novel Capacitive Strain Sensor for Textile-Based Elbow Movement Monitoring. In 2023 IEEE 19th International Conference on Body Sensor Networks (BSN) (pp. 1-4). IEEE, MIT Media Lab, Boston, USA

[5] Sharma, K., Dash, A., & Kumar, D. (2023, January). Investigating the effect of eeg channel selection on inter-subject emotion classification. In 2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 312-316). IEEE.

[6] Veeturi S., Mankodiya, K., Solanki, D., Kumar, D. (2023). TexSense: Textile-based Biosensing System for Biopotential Signals. In IEEE SMARTCOMP 2023.

[7] Natarajan, A., Fredo, J., Kumar, D. (2022). Vision-Guided Autonomous Robotic System for Pick and Place Tasks in Healthcare Settings. In XXII International Conference on Mechanics in Medicine and Biology.

[8] Kumar, D., Nakagawa-Silva, A., Soares, A. B. & Thakor, N. V. (2021). Neuromorphic Tactile Sensing and Encoding. In: Thakor, N. V. (eds) Handbook of Neuroengineering. Springer, Singapore.

[9]  Parvizi-Fard, A., Amiri, M., Kumar, D., Iskarous, M. M., & Thakor, N. V. (2021). A functional spiking neuronal network for tactile sensing pathway to process edge orientation. Nature Scientific reports, 11(1), 1-16.

[10] Kumar, D., Ghosh, R., Silva, A. N., Soares, A. B. & Thakor, N. V. (2020). Neuromorphic Approach to Tactile Edge Orientation Estimation using Spatiotemporal Similarity. Neurocomputing, 407, 246-258.[6] Wang, K., Yang, S., Kumar, D. and Thakor, NV. (2020). Hybrid Frame-Event Solution for Vision-Based Grasp and Pose Detection of Objects. In IEEE International Conference on Automation Science and Engineering (CASE). 2020.

[11] Kumar, D., Sinha, N., Dutta, A., & Lahiri, U. (2019). Virtual reality-based balance training system augmented with operant conditioning paradigm. Biomedical engineering online,18(1), 1-23. 

[12] Sankar, S., Brown, A., Balamurugan, D., Nguyen, H., Iskarous, M., Simcox, T., Kumar, D., Nakagawa, A. and Thakor, N. (2019, October). Texture Discrimination using a Flexible Tactile Sensor Array on a Soft Biomimetic Finger. In 18th IEEE Sensors, SENSORS 2019 (p. 8956704). Institute of Electrical and Electronics Engineers Inc. 

[13] Kumar, D., Gonjalez, A., Das, A., Dutta, A., Fraisse, P., Hayashibe, M., & Lahiri, U. (2017). Virtual Reality based Center of Mass Assisted Balance Training System. Frontiers in Bioengineering and Biotechnology,5, 85.

[14] Verma, S., Kumar, D., Kumawat, A., Dutta, A., & Lahiri, U. (2017). A Low-cost Adaptive Balance Training Platform for Stroke Patients: A Usability Study. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25(7), 933-944.

[15] González, A., Das, A., Kumar, D., Dutta, A., Lahiri, U., Fraisse, P. & Hayashibe, M. (2017). Use of the Personalized Mass Center for Balance Assessment. In memories of the National Congress of Biomedical Engineering (CNIB2017), (pp. 273-276).

[16] Kodappully, M., Kumar, D., & Lahiri, U. (2017, July). A step towards smart health: A pelvic wearable device for gait health quantification. In IEEE Region 10 Symposium (TENSYMP), 2017(pp. 1-5). IEEE.

[17] Kumar, D., Dutta, A., Das, A., & Lahiri, U. (2016). Smarteye: developing a novel eye tracking system for quantitative assessment of oculomotor abnormalities. IEEE Transactions on neural systems and rehabilitation engineering, 24(10), 1051-1059.

[18] Kumar, D., Das, A., Lahiri, U., & Dutta, A. (2016). A human-machine-interface integrating low-cost sensors with a neuromuscular electrical stimulation system for post-stroke balance rehabilitation. JoVE (Journal of Visualized Experiments), (110), e52394-e52394.

[19] Kumar, D., Dutta, A., Das, A., & Lahiri, U. (2016). Engagement sensitive visual stimulation. European journal of translational myology, 26(2).

[20] Kumar, D., Verma, S., Bhattacharya, S., & 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).

[21] Kumar, D., Das, A., Dutta, A., & Lahiri, U. (2016) “A Step Towards Developing a Gaze-based Screening Tool for Neurological Disorder,” In 10th World Stroke Congress, 26th -29th October, Hyderabad, India.

[22] Kumar, D., Aggarwal, G., Sehgal, R., Das, A., Lahiri, U., & Dutta, A. (2015, April). Engagement-sensitive interactive neuromuscular electrical therapy system for post-stroke balance rehabilitation-a concept study. In Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on (pp. 190-193). IEEE

[23] Dutta, A., Kumar, D., Lahiri, U., Das, A., & Padma, M. V. (2014). Poststroke engagement-sensitive balance rehabilitation under an adaptive multi-level electrotherapy: clinical hypothesis and computational framework. Neuroscience and Biomedical Engineering, 2(2), 68-80.

[24] Kumar, D., Tripathy, R. K., & Acharya, A. (2014). Least square support vector machine based Multiclass classification of EEG signals. WSEAS Transactions on Signal Processing, 10, 86-94.

[25] Kumar, D., Goyal, Y., Nair, S., Chauhan, A., & Lahiri, U. (2014, August). Design of a physiologically informed virtual reality based interactive platform for individuals with upper limb impairment. In Robot and Human Interactive Communication, 2014 RO-MAN: The 23rd IEEE International Symposium on (pp. 112-117). IEEE.

[26] Gautam, G., & Kumar, D. (2013, April). Biometric system from heart sound using wavelet based feature set. In Communications and Signal Processing (ICCSP), 2013 International Conference on (pp. 551-555). IEEE

• Biomechanics (BM302)
• Microprocessor and Microcontroller (BM311)
• Rehabilitation Engineering (BM521)
• Biomaterials (BM204)
• Electronic Measurement and Instrumentation for Biomedical Applications (BM301)
• Radiation Biology and It's Biomedical Applications (BM512)
• Introduction to Biomedical Engineering (BM101)

Actively looking for motivated Ph.D./Masters/Undergraduate/Interns students to work on the i) Development of spiking neural network architecture for neuromorphic tactile sensing, ii) Finite element modeling and fabrication of flexible tactile sensor iii) Virtual reality-based human-machine-interaction for physical rehabilitation, iv) Biomedical signal processing for diagnosis/prognosis of health condition.
If you are interested in any of the above-mentioned research areas or any related research field then drop me an email with your resume.

• 23rd International Symposium on Robot and Human Interactive Communication, Edinburgh, Scotland, 2014
• 7th International IEEE EMBS Neural Engineering Conference, Montpellier, France, 2015
• 20th Conference of the International Functional Electrical Stimulation Society, IFESS, La Grande-Motte, France, 2016
• 10th World Stroke Congress, Hyderabad, India, 2016
• 11th Indian National Stroke Conference, Amritsar, India, 2017

Invited Talks:

[1] Delivered expert lecture at a workshop titled "Applications of Signal Processing for the Development of Wearables for Disabled and Elderly" at the Indian Institute of Technology Patna, 16th March 2024.

[2] Expert lecture at Science and Engineering Research Board, High-End Workshops (“KARYASHALA”) on AI-based Approaches in addressing Issues related to Cognitive Health, Department of Electrical Engineering, Indian Institute of Technology Gandhinagar, 15-21 Nov 2022.

[3] Expert lecture at Science and Engineering Research Board, High-End Workshops (“KARYASHALA”) on Application of Machine Learning in Audio Signal Processing, ABP- Indian Institute of Information Technology and Management Gwalior, 5-11 Sept 2022.

Editorial Tasks:

• Guest Editor of Frontiers in Psychiatry Journal.
• Review Editor for Frontiers in Medical Technology
• Reviewer of several Journals such as “Research on Biomedical Engineering”, “Cognitive Neurodynamic”, “IEEE Transaction on Neural System and Rehabilitation”, “Disability and Rehabilitation: Assistive Technology”, etc.   

Professional Membership:

• IEEE member
• IEEE Engineering in Medicine and Biology Society Membership
• IEEE Signal Processing Society Membership