Professor
Department of Electronics and Telecommunication Engineering
Jadavpur University, Kolkata, India.
Homepage: https://sites.google.com/site/anandachowdhury/
Talk on Graph based Video Processing in the First IAPR TC-15 Online Seminar. Video Link here.
sksahu.etce.rs@jadavpuruniversity.in
Sushanta is working since November 2020 on some studies on Parkinsonian Disorders: A Deep Learning driven Medical Image Analysis Perspective.
arijitde.etce.rs@jadavpuruniversity.in
Arijit is working since September 2019 on various problems involving brain disorders that can be solved using computer aided neuroimaging. See research works here.
Homepage: https://arijitde92.github.io/
stkumbhare.etce.rs@jadavpuruniversity.in
Sevakram is working since August 2021 on "Solving Problems in Computer Vision with Information from Multiple Datasets".
jagannaths.etce.rs@jadavpuruniversity.in
Jagannath is working since July 2019 on Efficient Video Processing for security and Surveillance Applications.
anirban.duttachoudhury@gmail.com
Anirban is working since March 2017 on Graph based monitoring of Cardiac Health.
Successfully defended his doctoral thesis on October 2021. Worked on Processing and Analysis of Egocentric Videos.
Currently Assistant Professor at MNNIT Allahabad, India.
Successfully defended his doctoral thesis on August 2021. Worked on some problems in Computer Vision based Video Surveillance.
Currently Post-doc at Edge Hill University, UK
Successfully defended her doctoral thesis on October 2021. Worked on Computer Aided detection of Lung Cancer.
Currently Post-doc at University of Texas MD Anderson Cancer Center, USA
Worked on A Study on Multispectral Image & Video Fusion with Some Applications. Received doctoral degree in 2017.
Worked on A Study on Some Theoretical Variations of the kNN Algorithm. Received doctoral degree in 2016. Co-advisor was Dr. Koushik Ghosh.
Worked on Video Summarization for Multimedia Analysis. Received doctoral degree in 2015.
Working on Relative Saliency
Tapabrata Chakraborti (2013): Retinal Blood Vessel Detection (from Electrical Engineering, JU)