Padmanabhan Pillai is affiliated with Intel in the United States and conducts research primarily in computer science. Their work spans multiple subfields including computer vision and pattern recognition, computer networks and communications, cognitive neuroscience, artificial intelligence, and social psychology.
The scientist's research topics focus extensively on IoT and edge/fog computing, context-aware activity recognition systems, visual attention and saliency detection, image and video quality assessment, neural and behavioral psychology studies, ergonomics and musculoskeletal disorders, as well as tactile and sensory interactions.
Notable recent papers authored or co-authored by Padmanabhan Pillai include:
The researcher has frequently collaborated with a number of co-authors, including Mahadev Satyanarayanan, Roger Iyengar, Junjue Wang, Shilpa George, and Haithem Turki.
Padmanabhan Pillai's publications are commonly found in venues such as IEEE Pervasive Computing, PLoS ONE, IEEE Transactions on Emerging Topics in Computing, Software Practice and Experience, and IEEE Micro.
Padmanabhan Pillai;Kang G. Shin
Kiryong Ha;Zhuo Chen;Wenlu Hu;Wolfgang Richter
Mahadev Satyanarayanan;Pieter Simoens;Yu Xiao;Padmanabhan Pillai
Moo-Ryong Ra;Anmol Sheth;Lily Mummert;Padmanabhan Pillai
Hai Huang;Padmanabhan Pillai;Kang G. Shin
Zhuo Chen;Wenlu Hu;Junjue Wang;Siyan Zhao
Pieter Simoens;Yu Xiao;Padmanabhan Pillai;Zhuo Chen
Mahadev Satyanarayanan;Zhuo Chen;Kiryong Ha;Wenlu Hu
Kiryong Ha;Padmanabhan Pillai;Wolfgang Richter;Yoshihisa Abe
Junjue Wang;Ziqiang Feng;Zhuo Chen;Shilpa George
Wenlu Hu;Ying Gao;Kiryong Ha;Junjue Wang
Kiryong Ha;P. Pillai;G. Lewis;S. Simanta
Jason Campbell;Phillip B. Gibbons;Suman Nath;Padmanabhan Pillai
Yu Xiao;Pieter Simoens;Padmanabhan Pillai;Kiryong Ha
Junjue Wang;Brandon Amos;Anupam Das;Padmanabhan Pillai
M.P. Ashley-Rollman;S.C. Goldstein;P. Lee;T.C. Mowry
Kiryong Ha;Yoshihisa Abe;Thomas Eiszler;Zhuo Chen
B.T. Kirby;B. Aksak;J.D. Campbell;J.F. Hoburg
M. De Rosa;S. Goldstein;P. Lee;J. Campbell
Angela H. Jiang;Daniel L.-K. Wong;Christopher Canel;Lilia Tang
Angela H. Jiang;Daniel L. K. Wong;Giulio Zhou;David G. Andersen
If you think any of the details on this page are incorrect, let us know.
Exploring computer science in the USA opens up several flexible learning and career options. Many students choose associates degree online programs for an affordable way to start building foundational tech skills. These pathways can provide quick entry into IT roles or act as stepping stones to advanced study.
For those seeking a more intensive credential, the most in demand masters degrees can help professionals specialize in high-growth fields like data science or cybersecurity. Some schools even offer fastest online master's degree programs that allow students to graduate in just 12-18 months.
If you’re eager to upskill quickly, consider short certificate programs that pay well. These focused certifications can boost your resume and help you qualify for entry-level technology jobs in a matter of months. Whether you start with an associate’s degree or fast-track your advancement with a master’s or certificate, online options offer flexibility to shape your career path.
Texas Tech University
University of Minnesota
University of Pittsburgh
University of Washington
The University of Texas Health Science Center at Houston
University of Padua
Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences
University of Massachusetts Amherst
University of Sydney
Roma Tre University
University of Florence
University of California, Berkeley
Stanford University
Curtin University
EDHEC Business School
Tarbiat Modares University
