Conference Papers:
Fairness and Efficiency in Online Class Matching
S.C. Jahan, M.T. Hajiaghayi, M. Sharifi, S. Shin, M. Springer
NeurIPS 2024
Dynamic Metric Embedding into lp Space
K. Banihashem, M.T. Hajiaghayi, D.R. Kowalski, J. Olkowski, M. Springer
ICML 2024
Almost Envy-Free Allocations of Goods or Chores with Entitlements
M.T. Hajiaghayi, M. Springer, H. Yami
AAAI 2024
Fair Polylog Approximate Low-Cost Hierarchical Clustering
J.P. Dickerson, M.T. Hajiaghayi, M. Knittel, M. Springer
NeurIPS 2023
An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits
K. Banihashem, M.T. Hajiaghayi, S. Shin, M. Springer
NeurIPS 2023
Generalized Reductions: Making any Hierarchical Clustering Fair and Balance with Low Cost
J.P. Dickerson, M.T. Hajiaghayi, M. Knittel, M. Springer
ICML 2023
Analysis of a Learning Based Algorithm for Budget Pacing
M.T. Hajiaghayi, M. Springer
AAMAS 2023
Optimal Sparse Recovery with Decision Stumps
K. Banihashem, M.T. Hajiaghayi, M. Springer
AAAI 2023
Online Algorithms for the Santa Claus Problem
M.T. Hajiaghayi, M.R. Khani, D. Panigrahi, M. Springer
NeurIPS 2022
Workshop Papers:
Positive Mining from LLM Seeds: A Semi-Supervised Graph Based Approach to Train Rare Events Classifiers
S. Tavakkol, L. Chen, M. Springer, A. Schantz, B. Bratanič, V. Cohen-Addad, M.H. Bateni
KDD 2025 - Machine Learning on Graphs in the Era of Generative Artificial Intelligence
Journal Papers:
A Mathematical Model-Derived Disposition Index without Insulin Validated in Youth with Obesity
J. Ha, J. Kim, M. Springer, A. Chhabra, S. Chung, A. Sumner, A. Sherman, S. Arslanian
The Journal of Clinical Endocrinology & Metabolism
J. Ha, S. Chung, M. Springer, J. Kim, P. Chen, A. Chhabra, M. Cree, C. Behn, A. Sumner, S. Arslanian, A. Sherman
American Journal of Physiology--Endocrinology, and Metabolism
A Machine-Learning Approach for Predicting Impaired Consciousness in Absence Epilepsy
M. Springer, A. Khalaf, P. Vincent, J.H. Ryu, Y. Abukhadra, S. Beniczky, T. Glauser, H. Krestel, H. Blumenfeld
Annals of Clinical and Translational Neurology
R. Li, J.H. Ryu, P. Vincent, M. Springer, D. Kluger, E. A. Levinsohn, Y. Chen, H. Chen, H. Blumenfeld
NeuroImage
Invited Talks:
Fair Polylog Approximate Low-Cost Hierarchical Clustering
Northwestern Junior Theorists Workshop, December 2024
Distorting the Vote: How Metric Spaces Shape Elections
UMD JAMS Seminar, November 2024
Online Class Fair Matching
Max Planck Institute for Informatics - Algorithms and Complexity Seminar, October 2024
Invited Workshops / Seminars:
Algorithmic Foundations for Emerging Computing Technologies
Simons Institute for the Theory of Computing, Fall 2025
AI Policy Summer School
Brown University - Center for Technological Responsibility, Reimagination & Redesign, July 2025
Ranked Choice Voting Modeling Workshop
Cornell University - Data & Democracy Lab, June 2025
Seminar on Fair Division: Algorithms, Solution Concepts and Applications
Dagstuhl Seminar 24401, September 2024
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Awards & Honors:
Herbert A. Hauptman Fellowship (2025)
NSF Graduate Research Fellowship (2022 - 2025)
UMD Outstanding Graduate Research Assistant Award (2024 - 2025)
AAAS Mass Media Fellowship (2024)
Nokia Bell Labs Outstanding Innovation Award (2022)
Aziz Osborne Gold Medal in Teaching Excellence (2021 - 2022)
UMD Dean's Fellowship (2020)