๐ Education
Doctor of Philosophy in Computer Science
Center for Diabetes Technology
Advisors: Prof. Heman Shakeri and Prof. Hadi Daneshmand
Advisors: Prof. Heman Shakeri and Prof. Hadi Daneshmand
Master of Science in Computer Science, en route
Bachelor of Science in Computer Engineering
GPA: 3.671 / 4.000
Ranked 4th among Computer Engineering students
Ranked 4th among Computer Engineering students
๐ฌ Research Interests
Core areas of focus and expertise
Deep Learning
Clinical Machine Learning
Physiological Time-Series Modeling
AI for Healthcare
๐ Selected Publications
Peer-reviewed articles, conferences, and preprints
When Language Models Misread Physiology: Confounding and Uncertainty in T1D CGM Forecasting
Diabetes Technology & Therapeutics
Conference Abstract
The Stationarity Bias: Stratified Stress-Testing for Time-Series Imputation in Regulated Dynamical Systems
arXiv
arXiv
Mitigating Exposure Bias in Risk-Aware Time Series Forecasting with Soft Tokens
IFAC World Congress 2026
Accepted
Scalable Cosmic AI Inference using Cloud Serverless Computing with FMI
International Journal of High Performance Computing Applications
Accepted
AstroMAE: Redshift Prediction Using a Masked Autoencoder with a Novel Fine-Tuning Architecture
20th IEEE International Conference on e-Science
Accepted
๐งช Research Experience
Researcher
Examining imputation methods for Type 1 Diabetes (T1D) data and developing physiology-aware time-series forecasting models.
Researcher
Worked on foundation models for astrophysics datasets.
Research Collaborator
Contributed to preliminary work on integrating swarm intelligence optimization with the LIME explainability algorithm.
Researcher
Preprocessed, analyzed, and modeled medical datasets for predictive analytics.
Researcher
Worked on a swarm optimization algorithm variant for tuning hyperparameters of deep neural network models.
๐จโ๐ซ Teaching, Mentoring & Service
Reviewer, IEEE EMBC 2026
Teaching Assistant, Computational Intelligence
Supported 40+ students through course discussions, assignments, and problem-solving sessions.
Teaching Assistant, Algorithm Design
Guided 30+ students in virtual classes and helped with assignments and algorithmic problem-solving.
Teaching Assistant, Artificial Intelligence and Expert Systems
Led virtual problem-solving sessions and provided academic support for 30+ students.
Teaching Assistant, Advanced Programming
Graded programming assignments and supported 30+ students with course exercises.
๐ป Technical Skills
Programming
Python
MATLAB
C
C++
C#
Java
Machine Learning & Data Science
PyTorch
TensorFlow
NumPy
Pandas
๐ Languages
Persian
Native
English
Professional Working Proficiency
๐ฅ References
Heman Shakeri
Assistant Professor
Department of Data Science
University of Virginia
hs9hd@virginia.eduHadi Daneshmand
Assistant Professor
Department of Computer Science
University of Virginia
dhadi@virginia.eduAbdollah Kavousi-Fard
Associate Professor
Department of Electrical and Electronic Engineering
Shiraz University of Technology
kavousi@sutech.ac.ir