top of page
082119_Salimeh Yasaei-Sekeh_12.jpg

Salimeh Yasaei Sekeh

Principal Investigator

​

​

Sepideh.png

Sepideh  Neshatfar

Ph.D. Candidate

 

Research Interests: Graph Compression, Robustness in Graph Neural Network, Adversarial Machine Learning, Deep Multimodal Sensor Fusion

​

Affiliation: University of Maine

Co-advisor: Dr Chaofan Chen

Wisell Headshot.jpg

Mary Wisell

PhD Student

​

Research Interests: LLMs for OOD Detection and Domain Generalization
 

Affiliation: JDP SDSU-UCI

Summer Internship at IDEXX - Summer 2025

Mary's Site
Aditi.jpg

Aditi Naiknaware

Master Student 

 

 

Research Interests: Domain Adaptation, Out-of-Distribution Detection, Temporal Shift, Robust Deep Learning for Brain Activation Patterns.

Affiliation: San Diego State University

Aditi's Site
FernandezFrancis-102YB.jpg

Francis Fernandez

Undergraduate Research Assistant

 

 

Research Interests: Vision-Language Models, Object Detection for Smart Transportation (Joint w/ STAR Lab)

Affiliation: San Diego State University

Thea.png

Thea Enache

Undergraduate Research Assistant

 

Research Interests: Transformers for biology, Domain Adaptation for Drug Discovery


Affiliation: San Diego State University

Thea's Site
Saad.jpg

Saad Alrajhi

Undergraduate Research Assistant

 

Research Interests: Transformers for biology, Domain Adaptation for Drug Discovery


Affiliation: San Diego State University

Sara Abhyankar.jpeg

Sara Abhyankar

High School Student 

Scripps Ranch High School (San Diego Unified School District)

​

Research Interests: Neural Network (MLP), CNN

Sara's Site

Alumni

​

        Graduate Students
 

  • Josh Andel, PhD Thesis Title: Investigating Deep Neural Network Behavior During Continual Learning, April 2025

  • Soheil Gharatappeh, PhD Thesis Title: Efficient Strategies for Learning Tasks Based on Information Transfer, April 2025

  • Mahsa Mozafarinia, PhD Project Title: Generative Models for Continual Task Learning, September 20222-January 2025. 

  • Mary Wisell, PhD student at UCI-SDSU, Master Project Title: A Novel Framework for Sequential Multi-Source Transfer Learning: From Theory to Cancer Detection, April 2025

  • Jovon Craig, Master Project Title: A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness, July 2023. 

  • Madan R. Ganesh, Bosch AI - Pittsburg, PhD Thesis Title: Compression and Curriculum Strategies for Efficient Learning in  Deep Neural Networks, July 2022.

  • Nicholas Soucy, IDEXX - Portland, Master Thesis Title: Performance Enhancement of Hyperspectral Semantic Segmentation Leveraging Ensemble Networks, November 2022. 

    Graduate Interns

  • Aayush Manandhar, Ph.D. student, Summer 2023, Research: Transfer Learning

    Undergraduate Students

  • Rhiannon Gould: Undergraduate Research Assistant, March 2022-August 2024.

  • Nicholas Jacobs: Undergraduate Research Assistant, University of Maine, Next PhD student at University of Utah

  • Jona Fejzoy: Undergraduate Research Assistant - Visitor from Northeastern University, 2023-2024

  • Daniel Shobayo: Undergraduate Research Assistant - Visitor from Mass-Boston, 2023

  • Aidan Dominian: Undergraduate Research Assistant - Visitor from Northeastern University, 2023-2024

  • Ian stebbins: Undergraduate Research Assistant - Visitor from Bowdoin College, Summer 2022

  • Thomas Gause: Undergraduate Research Assistant, February 2021 - December 2021

  • Dawsin Blanchard: Undergraduate Research Assistant, February 2020 - August 2020

  • Alex Feren, Undergraduate Research Assistant, January 2020 - March 2020

  • Klei Bendo, Undergraduate Research Assistant, January 2020 - March 2020

    High School Students

  • Brianna Auspland: Portland High School (Upward Bound program), May 2024-August 2024

  • Lana Friess, Bangor High School, March 2023 - September 2023

  • Simon Socolow, Orono High School, May 2020 - January 2021​, Williams College. 

​

 

sdsu-logo.jpeg

San Diego State University

Computer Science Department

© 2020

bottom of page