About

Hello, I am Dikshant Sagar, a first-year Computer Science PhD student at the Donald Bren School of Information and Computer Sciences at the University of California, Irvine advised by Dr. Pierre Baldi. I earned my master’s degree in Computer Science from California State University, Los Angeles and my bachelor’s degree in Computer Science from IIIT Delhi in India. My research interests revolve around Machine Learning, Deep Learning and Artificial Intelligence, particularly their applications in Healthcare and Biomedicine. I have worked as a research assistant at the Machine Learning and Sensing Lab, Cal State LA under Dr. Navid Amini, at the Computational Molecular Biology(COMB) Lab, Cal State LA under Dr. Negin Forouzesh and at the Signal and Biomedical Image Processing(SBI) Lab, IIIT Delhi under Dr. Anubha Gupta.

Recent News

  • Paper titled “Enhancing Drug Discovery via Physics-Guided Deep Generative Models” has been accepted at the Computational Structural Bioinformatics Workshop 2024, Boston, MA. (November, 2024)

  • Extended paper titled “Detection of Large Vessel Occlusion in Ischemic Stroke Patients using Deep Residual Distilled Convolutional Networks” got accepted to the International Journal of Semantic Computing. (June 2024)

  • Paper titled “Clinical Features Predicting COVID-19 Severity Risk at the Time of Hospitalization” was published in the Cureus Journal of Medical Science. (March 2024)

  • Received the Outstanding Graduate Student Award 2024 at California State University, Los Angeles.

  • Received the Outstanding Oral Presentation Award at the California State University, Los Angeles Annual Student Symposium on Research, Scholarship, and Creative Activities (RSCA 2024).

  • Paper titled “Deep Residual Distilled Convolutional Learning For Detection of Large Vessel Occlusion in Ischemic Stroke Patients” got accepted at the 1st IEEE‬‭ International‬‭ Conference‬‭ on‬‭ Artificial‬‭ Intelligence,‬‭ Medicine,‬‭ Health‬‭ and‬‭ Care‬‭ (AIMHC‬‭ 2024),‬‭ Laguna‬ Hills, California. (February 2024)

  • Paper titled “Deep Learning Based GABA Edited-MRS Signal Reconstruction” got accepted at the 18th International Symposium on Visual Computing (ISVC 2023), Lake Tahoe, NV. (September 2023)

  • Received the Cal State LA Graduate Scholarship 2023. (September 2023)

  • Paper titled “Physics-Guided Deep Generative Model for New Ligand Discovery” won the best paper finalist award at the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB 2023), Houston, TX. (September 2023)

  • Paper titled “Physics-Guided Deep Generative Model for New Ligand Discovery” got accepted at the 16th Computational Structural Bioinformatics Workshop (CSBW 2023) at the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB 2023), Houston, TX. (August 2023)

  • Received the CSUPERB Faculty-Student Research Collaboration Grant 2023. (July 2023)

  • Received the CSUPERB Student Research Travel Grant 2023. (May 2023)