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 Machine Learning and Health AI 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 and immediate impact on individuals’ health. On the technical side, our focus has been on semi- and self-supervised deep learning methods using large time-series datasets, and on the application side, our team has primarily worked on the problems related to obesity and diabetes. At UD, I have taught Artificial Intelligence, Human-Centered AI, Data Mining, and Advanced Deep Learning.

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

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Education

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

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

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

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

Teaching

Advanced Deep Learning (CISC 889) – Spring (2023 and 24).

Artificial Intelligence (CISC 481/681) – Fall (2018, 19, 20, 21, 22, 23, & 24) 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 Obesity – MOOC on Coursera

Service

Panelist

  • CRA Undergraduate Research Awards Committee, 2022, 23, 24.
  • NSF Smart Health Panel, 2024.
  • German Academic Exchange Service (DAAD), 2024.
  • NSF SBIR/STTR Panel, 2020.
  • NSF III SMALL Panel, 2020.
  • Government of Canada’s Strategic Science Fund, 2022.
  • 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, 2024, 22, 21, 20 & 14.
  • AAMAS – Autonomous Agents and Multi-Agent Systems, 2021, 19, 18, 17 & 16.
  • AMIA – American Medical Informatics Association, 2019 onwards.
  • BCB – Bioinformatics, Computational Biology, and Health Informatics, 2021 onwards.
  • 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 onwards.
  • MLHC – Machine Learning for Healthcare, 2021 onwards.
  • ML4H – Machine Learning for Health 2024.

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
  • Patterns
  • Symmetry
Contact

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

Office Hours: (Fall 2024) Tue/Thr 5:15-6:00 PM, or by email

Phone: 302-831-0072

Email: rbi@udel.edu