People
Multiple research openings available for undergraduate and graduate students.
Lab Director
Dr. Panagiotis (Panos P.) Markopoulos
Associate Professor and Margie and Bill Klesse Endowed Professor, Department of Electrical and Computer Engineering and Department of Computer Science, UTSA
Core Faculty Member, School of Data Science, UTSA
Core Faculty Member, MATRIX: The UTSA AI Consortium for Human Well-Being
E-mail: panagiotis.markopoulos@utsa.edu
PhD Students
Suraj Rao Badela
PhD in Electrical Engineering, UTSA, 2020 - present.
surajrao.bandela@utsa.edu
Rakib Ul Haque
PhD in Electrical Engineering, UTSA, 2023 - present.
E-mail: RakibUl.Haque@my.utsa.edu
Tien Nguyen
PhD in Electrical Engineering, UTSA, 2023 - present.
tien.nguyen3@my.utsa.edu
Manish Sharma
PhD in Imaging Science, RIT, 2020 - present
Since 2022, co-advised with Dr. E. Saber, RIT
Research: Efficient deep learning for object detection; deep learning fusion; low-rank NN structures.
E-mail: ms8515 [at] rit [dot] edu
Ian Tomeo
PhD in Electrical and Computer Engineering, RIT, 2019 - present
Since 2022, co-advised with Dr. A. Savakis, RIT
Research: Learning from limited data; tensor-based data fusion; quantum machine learning
E-mail: itomeo001 [at] gmail [dot] com
MS & Undergraduate Students
Ben Young
BS in Electrical Engineering, Honors, UTSA; Klesse Undergrad ML Scholar, 2023.
Research (Honors Thesis): Deep learning fusion.
Graduated / Alumni
(from RIT and UTSA)
PhD Alumni
Dr. Mayur Dhanaraj
PhD in Electrical and Computer Engineering, RIT, 2022.
Dissertation: Dynamic Algorithms and Asymptotic Theory for Lp-norm Data Analysis
Current position: Applied Scientist II, Amazon.
Dr. Dimitris G. Chachlakis
PhD in Electrical and Computer Engineering, RIT, 2021. RIT-Wide Doctoral Dissertation Award, 2023.
Dissertation: Theory and Algorithms for Reliable Multimodal Data Analysis, Machine Learning, and Signal Processing
Current position: Senior R&D Engineer, Digimarc.
Dr. Yilong Liang
PhD in Imaging Science, RIT, 2019.
Dissertation: Object Detection in High Resolution Aerial Images and Hyperspectral Remote Sensing Images
Current position: Image and Video Quality Engineer, Apple.
MS & Undergrad Alumni
I. Omer (GRA), MS EE, UTSA, 2023. Research on tensor method implementations in python.
B. Young (Klesse ML Undergraduate Research Scholar), BS EE, UTSA, 2023. Research on multimodal data fusion.
R. Adhikari (Klesse ML Undergraduate Research Scholar), BS CS, UTSA, 2023. Research on unsupervised machine learning.
K. Shivani (RIT Honors Scholar), BS EE, RIT, 2021. Research on combinatorics and clustering.
M. Krol (GRA; MS thesis), BSMS EE, RIT, 2022. MS thesis title: “Low-Rank Clustering via LP1-PCA.”
D. Le (GRA; MS thesis), BSMS EE, RIT, 2022. MS thesis title: “Robust L1-norm Singular-Value Decomposition and Estimation.”
T. Sarkar (MS paper), MS EE, RIT, 2020. MS paper title: “An overview of tensor methods for data fusion.”
A. Quirk (MS paper), MS EE, RIT, 2019. MS paper title: “Joint frame synchronization and channel estimation with sparse signal recovery using simulink.”
I. Tomeo (MS thesis), MS EE, RIT, 2019. MS thesis title: “Covariance estimation from limited data: State-of-the-art, algorithm implementation, and application to wireless communications.”
A. Ganapathi (MS paper), MS EE, RIT, 2019. MS paper title: “Methods for topology estimation and localization based on RF signaling.”
K. Bichave (MS paper), MS EE, RIT, 2019. MS paper title: “CNN pruning using tensor decomposition.”
C. Agbalessi (RIT Honors Scholar), BS EE, RIT, 2019. Research on machine learning for motion recognition from radar measurements.
O. Brewer, BS EE (RIT Honors), RIT, 2018. Research on machine learning for gait recognition with IMUs.
R. French, MS EE (MS paper), RIT, 2018. MS paper title: “Studying spread-spectrum multiplexing with software defined radios.”
M. Dhanaraj (MS thesis), MS EE, RIT, 2018. MS thesis title: “Incremental and adaptive L1-norm principal component analysis: Novel algorithms and applications in signal processing and computer vision.”
C. Modak (MS paper), MS EE, RIT, 2018. MS paper title: “Review and implementation of methods for spectrum sensing.”
A. Adhikari (MS paper), MS EE, RIT, 2018. MS paper title: “Software-defined-radio implementation of spread-spectrum user multiplexing.”
E. Ljuca (UG Researcher), BS EE, RIT, 2017. Research on K-means clustering.
D. Bowers (MS paper), BSMS EE, RIT, 2017. MS paper title: “Distributed localization of RF-nodes with orchestrated signaling.”
A. Desai (MS paper), MSEE, RIT, 2016. MS paper title: “A guide to software defined radio: State-of-the-art platforms, important applications, and testbed development.”
P. Kothawade (MS paper), MS EE, RIT, 2016. MS paper title: “A survey of methods and algorithms for L1-norm principal component analysis.”
S. Koliparthi (MS paper), MS EE, RIT, 2016. MS paper title: “A review of online PCA.”
K. Thu (MS paper), MS EE, RIT, 2016. MS paper title: “On short-data beamforming.”
© Copyright 2023 Panagiotis Markopoulos