Rahmat Beheshti, PhD

Assistant Professor, University of Delaware
Department of Computer & Information Sciences
Epidemiology Program (Joint)
Data Science Institute
Research Faculty, Nemours Children’s Health

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 semi- or un-supervised deep learning methods for large 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 Artificial Intelligence since 2018 and recently offered Human-Centered AI and Data Mining courses.

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

CV
Publications

3 representative publications: 

  1. Flexible-Window Predictions on Electronic Health Records, Gupta et. al., IAAI 2022.
  2. Transformer-based Multi-target Regression on Electronic Health Records for Primordial Prevention of Cardiovascular Disease, Poulain et. al., IEEE-BIBM 2021.
  3. Concurrent imputation and prediction on EHR data using bi-directional GANs, Gupta et. al., ACM-BCB 2021.

It is hard to keep up with machines! My Google Scholar page contains an up-to-date, full list of publications.

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

Artificial Intelligence (CISC 481/681) – Fall (2018, 19, 20, 21, & 22) and Spring (2019, 20, 21, & 22).

Data mining (CISC 483) – Fall 2022 and Spring 2022.

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

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

Systems Science and ObesityMOOC on Coursera

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, 2022, 21, 20 & 14.
  • AAMAS – Autonomous Agents and Multi-Agent Systems, 2021, 19, 18, 17 & 16.
  • AMIA – American Medical Informatics Association, 2021, 20 & 19.
  • 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, 2022 & 21.
  • MLHC – Machine Learning for Healthcare, 2022 & 21.

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
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • 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
  • Lancet Digital Health
  • npj Digital Medicine
  • Pattern Recognition Letters
Contact

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

Office Hours: (Spring 2022) Thursdays 3:15 – 4:15 PM, or by email

Phone: 302-831-0072

Email: rbi@udel.edu