About me

I am a Ph.D. student in the Department of Computer and Information Science at the University of Pennsylvania, advised by René Vidal. I am also affiliated with the GRASP Laboratory.

My research interests lie at the theoretical foundations of deep learning and AI, (multi-agent) optimization and theoretical computer science.

Before coming to the States, I graduated with a Diploma in Electrical and Computer Engineering from Greece, where I worked with Dimitris Fotakis and Pavlos Efraimidis on the intersection of opinion dynamics and theoretical computer science.

[ CV ] [ ] [ ] [ ] [ ]

News

  • One paper accepted at ICLR 2026!
  • Visiting Simons NYC for Deep Learning Theory. Happy to connect and discuss research!
  • Presenting SEG-RR at JHU's MINDS Seminar.

    • Selected Honors & Awards

  • International Mathematics Competition (IMC)
    Bronze Medal
  • IEEExtreme 13.0 Collegiate Programming Competition
    top 10% worldwide
  • South Eastern European Mathematical Olympiad (SEEMOUS)
    Bronze Medal (2x)

    • Publications & Research

  • Shuffling the Data, Stretching the Step-size: Sharper Bias In Constant Step-size SGD
    Konstantinos Emmanouilidis, Emmanouil V. Vlatakis, Renè Vidal
    In the 14th International Conference of Learning Representations (ICLR 2026),
    [Paper]
  • SSD: A Sparse Semantic Defense Against Semantic Adversarial Attacks to Image Classifiers
    Nghia Nguyen, Darshan Thaker, Konstantinos Emmanouilidis, Tianjiao Ding, Renè Vidal
    [Paper]
  • Certifiably Robust Classifiers: Bridging the Gap Between Theory and Practice
    Konstantinos Emmanouilidis, Nghia Nguyen, Tianjiao Ding, Nicolas Loizou, Renè Vidal
    [Paper]
  • Stochastic Extragradient with Random Reshuffling: Improved Convergence for VIs
    Konstantinos Emmanouilidis, Renè Vidal, Nicolas Loizou
    In the 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024),
    [Arxiv], [Code]
  • Opinion Dynamics in Graphs with Hidden Links
    Undergraduate Thesis, w/ Dimitris Fotakis, Pavlos Efraimidis

    • Professional Service

  • Reviewer: ICML 2026, AISTATS 2025, 2026, ICLR 2026, JMRL
  • Organizer: Workshop on Machine Learning and Optimization, IEEE CISS 2023
  • Volunteer: Deepmath 2024