Umamahesh Srinivas

Education

• Ph.D., Electrical Engineering, Pennsylvania State University (2013)

  • Thesis: Discriminative models for robust image classification
    

  • Advisor: Prof. Vishal Monga

• M.S., Electrical Engineering, Pennsylvania State University (2009)

  • Thesis: Thermal image superresolution and higher order whitening of images
    

  • Advisor: Prof. Nirmal Bose

• B.Tech., Electronics & Communication Engineering, NITK Surathkal, India (2007)

Experience

• Apple Inc., Cupertino, CA

  • Distinguished Scientist (Mar. 2020 - present)

  • Senior Scientist (Oct. 2016 - Mar. 2020)

  • Senior Algorithm Research Engineer (Sep. 2013 - Oct. 2016)

• Research Intern, U.S. Army Research Laboratory, Adelphi, MD (Aug. 2012 - Dec. 2012)

• Research Intern, Qualcomm MEMS Research and Innovation Center, San Jose, CA (June 2010 - Aug. 2010)

Interests

• Signal processing and machine learning for wearable computing

• Statistical learning and computer vision

  • Probabilistic graphical models for robust image classification

  • Sparse representations for image analysis and classification: Theory and applications

• Computational color and imaging

  • Color image super-resolution

  • Halftoning in color displays

Honors

• Penn State College of Engineering 40 Under 40 Award, 2021

• IEEE Senior Member, 2019

• Top 10% Paper Award, IEEE International Conference on Image Processing, 2014

• Mikio Takagi Student Prize, IEEE International Geoscience and Remote Sensing Symposium, 2012

• Automatic Target Recognition Best Student Paper Award, SPIE Defense, Security and Sensing Symposium, 2012

Professional service

• Associate Editor, IEEE Signal Processing Letters, 2022-2025

• EECS member, Industrial and Professional Advisory Council, College of Engineering at Penn State, 2022-2025

• Reviewer

  • IEEE Transactions on: Signal Processing, Image Processing, Medical Imaging, Geoscience and Remote Sensing, Aerospace and Electronic Systems, Circuits and Systems for Video Technology, Neural Networks and Learning Systems

  • IEEE Signal Processing Letters, IEEE Geoscience and Remote Sensing Letters, IEEE Sensors Letters

  • IEEE Journal of Selected Topics in: Signal Processing, Applied Earth Observations and Remote Sensing

  • SPIE Journal of: Electronic Imaging, Applied Remote Sensing; EURASIP Journal on Image and Video Processing

  • Conferences: ICIP, ICASSP, MLSP, EUSIPCO

• Panelist, Senior Member Review Panel, IEEE Admission and Advancement Committee, 2021-22

• IEEE Judge, Santa Clara County Science Fair, 2023

Contact

• Email