Surendrabikram Thapa — Co-Founder
I graduated with an M.S. (Thesis) in CS from Virginia Tech (VT). During my time at VT, I collaborated with various faculty members across VT-CS, VT-ECE, and VTTI. Before Virginia Tech, I had the privilege of being associated with premier research labs and institutes such as CERN and UTS.My work spans the fields of Computer Vision (CV) and NLP. As a dynamic researcher, I excel at grasping concepts and applying them in real-world conditions. In the domain of CV, I have contributed to projects focusing on the remote assessment of physiological signals, GAN-based deidentification, image reconstruction, and inpainting. Additionally, I have developed object detection and tracking algorithms for both 2D and 3D environments, including a comprehensive assessment of the robustness of such algorithms in diverse real-world settings simulated using various degradation techniques. On the NLP front, I have analyzed scientific documents to understand their application in the transportation domain and the extent of this usage. Similarly, my work has addressed various issues in computational social sciences and healthcare using NLP techniques. I have also explored the use of NLP in analyzing financial sentiment and ESG impacts. Leveraging my experience in NLP and CV, I have engaged in multimodal applications, such as the multimodal content analysis on social media platforms.Furthermore, I have analyzed psychophysiological measures in drivers using data from wearable sensors and detected early signs of neuropsychological diseases using NLP and MRI data. My research has been published in various reputed journals (e.g., IEEE Access, Neural Networks, IJCHS, SNAM, JMIR Medical Informatics, IEEE TCSS, ACM TALLIP) and presented at conferences (e.g., NAACL, ICWSM, ECAI, SIGIR, ASONAM, BigData, WISE, LREC-COLING, IEEE IV, NeurIPS, CVPR, ACL, EMNLP, ICDM, ECCV, WebConf, ICWSM, etc.)Recently, my focus has also been on understanding and enhancing the capabilities of large language models (LLMs) and large vision language models (LVLMs). These works have led to publications in various journals and conferences, including JMIR Med. Inform., ABME, IEEE Access, IEEE IV, WISE, ASONAM, and conferences like AAAI, EMNLP, NAACL, NeurIPS, ACL, and LREC-COLING. I am eagerly exploring new opportunities in NLP, CV, LLMs, and data science (open to relocation, US permanent resident—no sponsorship needed).-Python, Tensorflow, PyTorch, SQL, OpenCV, Docker, LLM, version control, LLMs, etc.Contact: https://www.therealthapa.com (Email ID in contact tab)!P.S. All views are personal.
Stackforce AI infers this person is a Machine Learning and Computer Vision expert with a focus on Healthcare and Transportation.
Location: San Francisco, California, United States
Experience: 7 yrs 1 mo
Skills
- Machine Learning
- Computer Vision
- Leadership
- Natural Language Processing (nlp)
- Data Analytics
Career Highlights
- Published research in top-tier journals and conferences.
- Developed scalable AI models for real-world applications.
- Co-founded initiative to teach machine learning to underprivileged students.
Work Experience
Virginia Tech
Research Faculty Member (2 yrs 10 mos)
Virginia Tech Transportation Institute
Graduate Research Assistant (2 yrs)
Virginia Tech Bradley Department of Electrical & Computer Engineering
Graduate Research Assistant (1 yr 11 mos)
ML Initiative
Co-Founder (5 yrs 2 mos)
CSIR-CEERI
Research Intern (5 mos)
CERN
Openlab Summer Intern (7 mos)
Delhi Technological University (Formerly DCE)
Undergraduate Researcher, Machine Learning Research Lab (9 mos)
Student Research Assistant at Software Testing Lab (1 yr 4 mos)
University of Technology Sydney
Research Assistant (Remote) (1 yr 9 mos)
Visiting Scholar (3 mos)
Education
Master of Science - MS (Thesis) at Virginia Tech
Graduate Certificate in Data Analytics at Virginia Tech College of Engineering
Bachelor of Technology - BTech at Delhi Technological University (Formerly DCE)
