Dr. Ajitesh Srivastava
Research Assistant Professor
Ming Hsieh Department of Computer and Electrical Engineering
Associate Director, Center for AI in Society
University of Southern California,
EEB 226, 3740 McClintock Ave, Los Angeles, CA 90089-2562.
ajiteshs [AT] usc [DOT] edu
Research Interests: Machine Learning, Modeling, and Graph Algorithms applied to epidemics, social good, and social networks.
I am looking for motivated Ph.D. students in these areas. If you are interested in working with me, please contact me with your resume and a short paragraph on your research interests.
My resume that has been updated at least once in the last 153 years. My Erdős Number is 3. My Einstein Number is 5.
Recent News
[Dec 2023] Our paper on Nowcasting Temporal Trends Using Indirect Surveys has been accepted at AAAI 2024. It won the 2nd best paper award in the Social Impact track.
[Aug 2023] I co-organized the 6th epiDAMIK workshop at KDD 2024 and hosted a panel on "Opportunities for Data-driven Methods in the Post-COVID-Emergency Era."
[July 2023] I have been awarded three awards: (1) $196k by NSF to understand the impact of population heterogeneities on epidemics. (2) $175k by CSTE to provide forecasts and develop ensembles for COVID-19. (3) $1M by ARO to develop Graph Neural Networks to understand drivers of suicidal ideation (PI: Dr. Eric Rice and collaborators at UNLV and the University of Denver).
[Feb 2023] Our paper on Autism detection using Graph Neural Networks has been accepted at ICASSP 2023.
[Oct 2022] My student Satwant Singh won the first prize for Graduate Student Best Poster award at the 11th Annual Research Festival of the Ming Hsieh Department of Electrical and Computer Engineering.
[Oct 2022] Our paper on Shape-based Representation and Evaluation has been accepted at IEEE BigData 2022 and selected for Student Travel Award.
Research Overview
Here is a word cloud of the titles of my paper. For the full list of my publications, please see my Google Scholar page. To explore them interactively, check my Publication page.
My research interests include Machine Learning, Modeling, and Graph Algorithms applied to epidemics, social good, and social networks. Please check my Research Highlights for my recent work.
In the past, I have worked on information diffusion, parallel computing, FPGA acceleration, and smartgrids. If you are a student interested in working with me, please send me your resume and a half-page research proposal on what you would like to pursue.
Teaching
[Fall 2023] EE155L: Introduction to Computer Programming for Electrical Engineers (co-instructor Prof. Sandeep Gupta)
[Spring 2023] EE 638: Applications of Machine Learning for Medical Data and Smart Systems [syllabus]
[Spring 2022] EE638: Applications of Machine Learning for Medical Data (co-instructor Prof. Cauligi Raghavendra)
[Fall 2021] EE155L: Introduction to Computer Programming for Electrical Engineers (co-instructor Prof. Sandeep Gupta)
For my standup comedy page, please visit: https://sites.google.com/view/ajcomedy/home