Jainendra Shukla
Contact Details
Profile
Jainendra Shukla, the founder, and director of the Human-Machine Interaction [HMI] research group at IIIT-Delhi, holds a distinguished Ph.D. with Industrial Doctorate and International Doctorate distinctions from Universitat Rovira i Virgili (URV), Spain. Earlier, he completed an M.Tech. in I.T. with a Robotics specialization at the Indian Institute of Information Technology, Allahabad (IIIT-A), and a B.E. in I.T. with First Class and Distinction from the University of Mumbai. He is enthusiastic about empowering machines with emotional intelligence and adaptive interaction ability that can improve the quality of life in health and social care. His research has been disseminated in several venues of international reputation, including CHI, UbiComp, and IEEE Transactions on Affective Computing. He has co-developed the first-ever MOOC course on Affective Computing for [NPTEL]. Currently, as the Principal Investigator, he is leading the European Education and Culture Executive Agency funded project, Capacity Building in Robotics & Autonomous Systems in India [IRAS-HUB]. He actively contributes as a reviewer for several esteemed publications including ACMMM, CHI, CSCW, HRI, ICMI, RO-MAN, IEEE Transactions on Affective Computing, IEEE Transactions on Biomedical Engineering, and International Journal of Social Robotics. Since January 2024, he has also been serving as an Associate Editor on the Editorial board of the IEEE Transactions on Affective Computing. His contributions have been recognized with distinguished research, research excellence, and teaching excellence awards from IIIT-Delhi. Additionally, he has been honored with a startup research grant from SERB, Government of India, and the prestigious Industrial Doctorate research grant from the Government of Spain.
Selected Publications:
» A. Sarkar, P. R. Behera, and J. Shukla, "Multi-Source Transfer Learning for Facial Emotion Recognition Using Multivariate Correlation Analysis" Scientific Reports, vol. 13, no. 1, p. 21004, 2023.
» V. Jain, M. Leekha, R. R. Shah, and J. Shukla, "Exploring Semi-Supervised Learning for Predicting Listener Backchannels" in Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, CHI’21, pp 1-12, May 8-13, Yokohama, Japan, 2021.
» D. Verma, S. Bhalla, D. Sahnan, J. Shukla, and A. Parnami, "Expressear: Sensing Fine-Grained Facial Expressions With Earables" Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., UbiComp/ISWC’21, vol. 5, September 21-26, 2021.
» J. Shukla, M. Barreda-Angeles, J. Oliver, G. Nandi, and D. Puig, "Feature Extraction and Selection for Emotion Recognition From Electrodermal Activit IEEE Transactions on Affective Computing, 12(4), 857-869, 2019.
» J. Shukla, J. Cristiano, J. Oliver, and D. Puig, "Robot Assisted Interventions for Individuals With Intellectual Disabilities: Impact on Users and Caregivers" International Journal of Social Robotics, vol. 11, no. 4, pp. 631–649, 2019.
Research Interests
Affective Computing
Human-Computer Interaction
Social Robotics
Teaching Interests
Affective Computing
Machine Learning
Social Robotics