People | sekeh

Salimeh Yasaei Sekeh

Principal Investigator

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

Sepideh's Site

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 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

Francis Fernandez

Undergraduate Research Assistant

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

Affiliation: San Diego State University

Francis's Site

Thea Enache

Undergraduate Research Assistant

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

Affiliation: San Diego State University

Thea's Site

Saad Alrajhi

Undergraduate Research Assistant

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

Affiliation: San Diego State University

Saad's Site

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.