Dr. Sethuraman "Panch" Panchanathan

picture of CUbiC member

Dr. Sethuraman "Panch" Panchanathan


Executive Vice President, ASU Knowledge Enterprise; Chief Research and Innovation Officer; Founding Director, Center for Cognitive Ubiquitous Computing (CUbiC); Foundation Chair in Computing and Informatics


Computer Science and Engineering



Research Profile

Sethuraman “Panch” Panchanathan leads the knowledge enterprise development at Arizona State University, which advances research, innovation, strategic partnerships, entrepreneurship, global and economic development at ASU.  His leadership has led to many accomplishments at ASU including quintupling research performance over the last decade (to over $618M in 2018) placing it as the fastest-growing research university in the United States. ASU has also been ranked as the most innovative university in the nation by U.S. News & World Report for the last five years, ahead of Stanford and MIT.

In 2014, Dr. Panchanathan was appointed by the U.S. President to the U.S. National Science Board (NSB) for a six-year term. He is the first American of Indian origin to be appointed to the NSB. He served as Chair of the Committee on Strategy and currently serves on the External Engagement and National S&E Policy committees of NSB. Additionally, he was appointed by the former U.S. Secretary of Commerce to the National Advisory Council on Innovation and Entrepreneurship (NACIE).  Dr. Panchanathan is Vice President for Strategic Initiatives and Membership of the National Academy of Inventors.  He is currently the Chair of the Council on Research (CoR) of the Association of Public and Land-grant Universities (APLU).  He is also the Co-Chair of the Extreme Innovation Taskforce of the Global Federation of Competitiveness Councils. (GFCC). Dr. Panchanathan was appointed Arizona Governor Doug Ducey’s Senior Advisor for Science & Technology in 2018.

Dr. Panchanathan is a Fellow of the NAI, American Association for the Advancement of Science (AAAS), the Canadian Academy of Engineering (CAE), the Institute of Electrical and Electronics Engineers (IEEE) and the Society of Optical Engineering (SPIE).  He was the editor-in-chief of the IEEE Multimedia Magazine, and is also an editor/associate editor of several international journals and transactions.

Dr. Panchanathan’s research interests are in the areas of human-centered multimedia computing, haptic user interfaces, person-centered tools and ubiquitous computing technologies for enhancing the quality of life for individuals with disabilities, machine learning for multimedia applications, medical image processing, and media processor designs. Dr. Panchanathan has published more than 450 papers in refereed journals and conferences and has mentored more than 150 graduate students, post-docs, research engineers and research scientists who occupy leading positions in academia and industry. He has been a chair of many conferences, a program committee member of numerous conferences, an organizer of special sessions in several conferences and an invited speaker and panel member in conferences, universities and industry symposiums.


Ranking Predictors of Complications following a Drug Eluting Stent Procedure using Support Vector Machines
R. Gouripeddi, V. Balasubramanian, J. Harris, A. Bhaskaran, R. Siegel, S. Panchanathan,
Support Vector Machine Based Conformal Predictors for Risk of Complications Following a Coronary Drug Eluting Stent Procedure
V. Balasubramanian, R. Gouripeddi, J. Vermillion, A. Bhaskaran, R.M. Siegal, S. Panchanathan,
The Evolution of the iCARE Reader
T. Hedgpeth, J. Black, S. Panchanathan,
Measuring Movement Expertise in Surgical Tasks
K. Kahol, N.C. Krishnan, V. Balasubramanian, S. Panchanathan,
Biased manifold embedding for person-independent head pose
V.N. Balasubramanian, S. Panchanathan,


The rapid escalation of technology and the widespread emergence of modern technological equipments have resulted in the generation of large quantities of digital data. This has expanded the possibilities of solving real world problems using computational learning…

Automated verification of human identity is indispensable in security and surveillance systems and also in applications involving assistive technology. Uni-modal systems relying on a single modality for authentication suffer from several limitations. Multi-modal systems…

The Dyadic Interaction Assistant, part of the larger Social Interaction Assistant research project, consists of a webcam on a pan-tilt mechanism used to track human faces, regardless of whether the person is directly facing the camera. Additionally, the video collected…

In CUbiC under the iCare project at Arizona State University, in partnership with Arizona's Rehabilitation Services Administration, we are developing a digital library system for delivering textbooks and other course materials to postsecondary education students, who are…

Development and refinement of surgical skills are critical and time consuming components of the training curriculum of novice surgeons. Traditional methods for surgical training and evaluation are known to be long-drawn processes in which interns and junior residents…