People | sekeh

Salimeh Yasaei Sekeh

Principal Investigator

Mahsa Mozafary

Ph.D. Student

Research Interests: Latent space representation in deep learning, Transfer Learning, analyzing the working of CNNs, and efficient memory usage in CNNS.

Affiliation: University of Maine

Co-advisor: Dr Chaofan Chen

Mahsa's Site

Josh Andle

Ph.D. Candidate

Research Interests: Deep Neural Network Compression, Continual Learning, Multi-agent tracking, Human Trajectory, Analysis the working of RNN

Affiliation: University of Maine
Internships: Cisco (Summer 2023)

Josh's Site

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

Sepideh's Site

Soheil Gharatappeh

Ph.D. Candidate

Research Interests: Network compression based on prior Knowledge, Uncertainty Quantification, Video-based learning in adverse weather condition, Deep Multimodal Sensor Fusion

Affiliation: University of Maine

Co-advisor: Dr Vikas Dhiman

Soheil's Site

Mary Wisell

4+1 Master Student

Research Interests: Continual Learning, Robustness, DNN Application in Biology

Affiliation: University of Maine

Summer Internship at PTC - Kepware, 2023

Mary's Site

Aditi Naiknaware

Master Student

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

Affiliation: San Diego State University

Aditi's Site

Francis Fernandez

Undergraduate Research Assistant

Research Interests: Object Detection for Smart Transportation (Joint w/ STAR Lab)

Affiliation: San Diego State University

Francis's Site

Sara Abhyankar

San Diego High-School Student

Research Interests: Neural Network (MLP), CNN

Sara's Site

Alumni

Graduate Students

Jovon Craig, Master Project Tilte: 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.