Formal BIO-sketch
Subh Bhattacharya is currently a Computer Vision Scientist at Adobe Systems Inc. based in Seattle, WA; where
he investigates creative solutions that cater to video editing. He spent sometime
of his professional career being a Research Scientist at Siemens Research based in Princeton, New Jersey; where
he was invastigating problems pertinent to heavy engineering industries and
healthcare. Prior to Siemens, he was a Post Doctoral Research Scientist working
with
Prof. Shih-Fu Chang at the Digital Video and Multimedia Lab in Columbia University. He graduated from Center for Research in Computer Vision
at the University of Central Florida with a
PhD in Computer Engineering in Summer of 2013, under the joint supervision of
Prof. Mubarak Shah
and Dr. Rahul Sukthankar.
Since 2008, he has been working on broad areas of
Computer Vision such as Large Scale content based Video Analysis, Visual
Surveillance and Aesthetic understanding of images and videos. He has more than
20
publications in peer-reviewed journals and conferences in Computer Vision
and Multimedia, some of which have been awarded or received nominations for Best
papers.
In the past, he has collaborated effectively with organizations such as IBM Research, HBO, SRI Sarnoff, Lockheed Martin under several US govt. and private grants, both in capacity of small and large teams. Also, he has interned in Microsoft Research and Intel Labs working on challenging computer vision problems ranging from enhancing perceptive video quality using near infrared signals to modeling behaviors of honey-bees, during the course of his PhD curriculum. Prior to his PhD, he worked for 5 years in research and development positions in technology firms based in India such as IBM, Infosys etc., focusing on High- performance Computing and Systems Virtualization, and also interned in Indian Statistical Institute with Prof. Bhabatosh Chanda on an Image Compression project.
In the past, he has collaborated effectively with organizations such as IBM Research, HBO, SRI Sarnoff, Lockheed Martin under several US govt. and private grants, both in capacity of small and large teams. Also, he has interned in Microsoft Research and Intel Labs working on challenging computer vision problems ranging from enhancing perceptive video quality using near infrared signals to modeling behaviors of honey-bees, during the course of his PhD curriculum. Prior to his PhD, he worked for 5 years in research and development positions in technology firms based in India such as IBM, Infosys etc., focusing on High- performance Computing and Systems Virtualization, and also interned in Indian Statistical Institute with Prof. Bhabatosh Chanda on an Image Compression project.
Personal
He likes to spend most of his non-research time, playing with his n-2011 year
old son (n=current year) in the outdoors, fiddling with Open Source software
such as the Linux operating system, Computer
Vision Library (OpenCV), Video encoders (FFMPEG). Besides Linux and Open source, he is
an outdoor adventure enthusiast and he enjoys camping, snorkeling, scuba diving,
rod fishing, snowboarding, mountain biking, canoeing, white-water rafting and
rock-climbing. In indoors, he likes listening to Alternative Rock,
Classic/Heartland Rock and some specific heavy metal bands.