Surendrabikram Thapa
About Me
I am a research faculty at Virginia Tech, Blacksburg, USA. I mostly work on problems related to deep learning. I got my master's degree from the Department of Computer Science, Virginia Tech. I was a visiting scholar at the University of Technology Sydney (UTS), Australia in 2019 where I worked on designing an AI predictive model for the early detection of Alzheimer's disease. I worked with CERN, Switzerland in collaboration with UNITAR and Intel in 2020.
My research areas revolve around machine learning and deep learning with a primary focus on data science for health care, computer vision, and Natural Language Processing.
I am also a member of the Sanghani Center for Artificial Intelligence and Data Analytics, Virginia Tech.
Organizing a tutorial session at AHFE 2022!
For more details on the tutorial, please visit our tutorial website! AHFE -> July 24-28, 2022, New York!
Paper accepted at 66th Annual meeting of HFES!
Paper titled "Deidentification of Drivers’ Face Videos: Scope and Challenges in Human Factors Research" accepted!
Full length paper accepted at IJHCS (Elsevier)!
Paper accepted at International Journal of Human-Computer Studies (Elsevier)! DOI: 10.1016/j.ijhcs.2021.102761
Starting working as a DEI subcommittee member at RIDE, VTTI!
Started as a DEI subcommittee member for the Division of Freight, Transit, and Heavy Vehicle Safety, VTTI.
Started working as graduate student ambassador!
Supporting the Office of recruitment, diversity, and inclusion to make grad school accessible and inclusive.
Started working as a research assistant with VTTI!
I started to work under the guidance of Dr. Abhijit Sarkar on various projects relating to transportation.
Starting working as a research assistant at ECE Department, VT!
I started to work under the guidance of Prof. Dr. Lynn Abbott on an NSF-funded project relating to bioinformatics.
Started my MS CS at Virginia Tech!
I am grateful to my recommenders, friends, and mentors who helped me throughout the journey.
I completed my B. Tech (Software Engineering)!
I am thankful to Delhi Technological University! Grateful to MEA, India for sponsoring my study.
Paper accepted at IJCNN 2021 (CORE A Ranked Conference)
The work was done with the University of Technology Sydney, Australia on neurolinguistics.
Received a grant of CHF 500 (Equivalent to USD 560)
I received the grant for successful publication of the work that I did with CERN and UNOSAT in summer of 2020.
Paper accepted at 27th ICONIP 2020 (CORE A ranked conference)
The work was done with the University of Technology Sydney, Australia on neurolinguistics.
Paper accepted at 8th IEEE R10 Humanitarian Technology Conference
The work presents feature selection based twin SVM for the diagnosis of Parkinson's Disease
Started internship cum fellowship with CSIR-CEERI Pilani, Rajasthan, India on Edge AI
I was selected to work on a 6-month long project on Edge AI.
Received IEEE Computational Intelligence Society Grant for paper accepted at IJCNN 2020
Awarded full registration grant that is provided to selected students who are first authors.
Selected for CERN openlab Summer Student Programme at CERN, Switzerland 2020
I was selected out of 1840 applicants for the prestigious CERN openlab program.
This is the work done during my association with UTS, Australia as Visiting Scholar.
I was honorarily appointed as a visiting scholar in UTS, Australia (May to Aug 2019).