Rahmat Beheshti, PhD

Assistant Professor
Department of Computer & Information Sciences
Epidemiology Program (Joint)
Data Science Institute
University of Delaware

I work in the area of Applied Machine Learning and Health Data Science and direct the healthy lAIfe lab at UD. Having finished my PhD in Computer Science and my postdoc in Public Health, I work on advanced machine learning problems with clear implications on individuals’ health. On the technical side, our focus has been on analyzing large and noisy time-series datasets, and on the application side, our team has primarily worked on the problems related to obesity and diabetes. I have been teaching the Artificial Intelligence course (CISC 481/681) since 2018 and am offering the Human-Centered AI course in Spring 2021.

Future Students –  I am looking for you! Read more.

CV
Recent
  • Two new preprints – “Obesity Prediction using EHR Data: A deep learning approach with interpretable elements,” and “Time-series Imputation and Prediction with Bi-Directional Generative Adversarial Networks”.
  • Robert Wood Johnson Foundation “Health Data for Action” award received, Link.
  • COBRE (Centers of Biomedical Research Excellence) award received to study the links of obesity and CVD (P20GM113125-04).
Education

Postdoc Trainee – Johns Hopkins Bloomberg School of Public Health, 2015-18.

Ph.D. – Computer Science, University of Central Florida, 2011-15 (Dissertation).

M.Sc. – Artificial Intelligence, Iran University of Science and Technology, 2008-11.

B.Sc. – Computer Software Engineering, Kharazmi University (fun fact), 2004-08.

Teaching

Spring 2021 – Human-Centered AI (CISC 889).

Fall (2018, 19, and 20), Spring (2019, 20, and 21) – Artificial Intelligence (CISC 481/681)

Summer 2016 and 15 – Complex Systems & Obesity (340.738.11), Johns Hopkins Bloomberg School of Public Health

MOOC on Coursera – Systems Science and Obesity

Service

Panelist

  • NSF SBIR/STTR Panel, 2020.
  • NSF III SMALL Panel, 2020.
  • Swiss National Science Foundation (SNSF) panel for the COVID-19 call 

Program Committee

(PC members in top-tier CS conferences generally review 5-10 full papers in each round.)

  • AAAI – Association for the Advancement of Artificial Intelligence, 2021, 20 & 14.
  • AAMAS – Autonomous Agents and Multi-Agent Systems, 2021, 19, 18, 17 & 16.
  • BCB – Bioinformatics, Computational Biology, and Health Informatics, 2021.
  • IJCAI – International Joint Conferences on Artificial Intelligence, 2020, 19, 17 & 15.
  • CCS – Conference on Complex Systems, 2020, 19, 18 & 17.
  • CHIL – Conference on Health, Inference, and Learning, 2021.
  • MLHC – Machine Learning for Healthcare, 2021. 

Reviewer 

  • American Journal of Epidemiology
  • Appetite
  • BMC Medical Informatics and Decision Making
  • International Journal of Behavioral Nutrition and Physical Activity
  • International Journal of Medical Informatics
  • Journal of AI and Society
  • Journal of Autonomous Agents and Multi-Agent Systems
  • Journal of Physical Activity & Health
  • Journal of Medical Internet Research
  • Journal of Nutrition
  • Pattern Recognition Letters
Contact

Office: 414 Smith Hall, 18 Amstel Ave, Newark, DE 19716

Office Hours: (Fall 2020) Thursdays 3:15 – 4:15 PM, or by email

Phone: 302-831-0072

Email: rbi@udel.edu