Dr. Sethuraman "Panch" Panchanathan

picture of CUbiC member

Dr. Sethuraman "Panch" Panchanathan


Executive Vice President, ASU Knowledge Enterprise Development; Chief Research and Innovation Officer; 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.

Panchanathan was the founding director of the School of Computing and Informatics and was instrumental in founding the Biomedical Informatics Department at ASU. He also served as the chair of the Computer Science and Engineering Department. He founded the Center for Cognitive Ubiquitous Computing (CUbiC) at ASU. CUbiC’s flagship project iCARE, for individuals who are blind and visually impaired, won the Governor’s Innovator of the Year-Academia Award in November 2004.

In 2014, Panchanathan was appointed by President Barack Obama to the U.S. National Science Board (NSB) and is Chair of the Committee on Strategy. He was appointed by former U.S. Secretary of Commerce Penny Pritzker to the National Advisory Council on Innovation and Entrepreneurship (NACIE).

Panchanathan is a Fellow of the National Academy of Inventors (NAI), the American Association for the Advancement of Science (AAAS) and the Canadian Academy of Engineering. He is also Fellow of the Institute of Electrical and Electronics Engineers (IEEE), and the Society of Optical Engineering (SPIE). He is currently serving as the Chair of the Council on Research (CoR) within the Association of Public and Land-grant Universities (APLU). Panchanathan was the editor-in-chief of the IEEE Multimedia Magazine and is also an editor/associate editor of many other journals and transactions.

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. Panchanathan has published over 440 papers in refereed journals and conferences and has mentored over 100 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, program committee member of numerous conferences, organizer of special sessions in several conferences and an invited speaker, panel member in conferences, universities and industry.


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…