Panos Promponas
Curriculum vitae

Panagiotis Promponas

Ph.D. candidate in Electrical and Computer Engineering at Yale University, advised by Leandros Tassiulas.

I am from Naxos, Greece. Before Yale I earned a five-year diploma in Electrical and Computer Engineering from the National Technical University of Athens, with a thesis on uplink power control advised by Symeon Papavassiliou, and stayed on as a research assistant working on game-theoretic network problems. Along the way I interned with Cisco Systems on compilers for distributed quantum computing and with Amazon on large-scale logistics optimization.

Full CV with publications (PDF) Email

Education

Aug 2020 to Dec 2026, expected
Ph.D. in Electrical & Computer Engineering Yale University, New Haven, CT. Advisor: Leandros Tassiulas. M.S. and M.Phil. in Electrical & Computer Engineering en route.
2013 to 2019
Diploma in Electrical & Computer Engineering National Technical University of Athens, Greece. Five-year diploma (integrated master’s level); specialization in Computer Science, Mathematics and Networks.

Experience

Aug 2020 to present
Graduate Research Assistant Yale Institute for Network Science and NSF Center for Quantum Networks (2020 to 2025), Yale University
  • Characterized the capacity region of quantum entanglement switches with limited memory and decoherence, and designed throughput-optimal scheduling and memory-allocation policies (IEEE JSAC 2024, IEEE Commun. Lett. 2023, IFIP Networking 2023, SIGMETRICS 2023 workshop).
  • Compared all-photonic and memory-equipped switch architectures through their rate–fidelity tradeoffs (QCNC 2026), and developed a capacity-driven framework for the design and operation of quantum networks built from such devices.
  • Modeled and analyzed large-scale classical networks, including sectorized wireless and sliced networks, designing frameworks that enlarge the throughput region, improve routing efficiency, and support incentive-compatible resource allocation (IEEE ToN 2025, MobiHoc 2023, INFOCOM 2023, CDC 2024).
Aug 2024 to Feb 2025
Applied Scientist Intern Amazon, Transportation Services
  • Designed a queueing-theoretic framework and digital-twin simulator for trailer operations, modeling facilities as a network of queues to optimize control policies and reduce trailer leasing and operating costs.
Jul to Aug 2024
Ph.D. Research Intern Cisco Systems
  • Designed a measurement-based distributed quantum computing framework that compiles quantum algorithms into two-qubit gates and measurements while minimizing network communication cost and required quantum memories.
May to Aug 2023
Ph.D. Research Intern Cisco Systems
  • Developed a gate-based distributed quantum computing compiler that translates a quantum circuit into physical operations native to multiple QPUs, jointly optimizing entanglement generation, routing, and teleportation to minimize expected execution time (IEEE ICC 2025, J. Quantum Computing 2025).
Apr 2019 to Aug 2020
Research Assistant Network Management and Optimal Design Laboratory, National Technical University of Athens
  • Modeled multi-user systems that share a common pool of resources using satisfaction games, introduced the minimum efficient satisfaction equilibrium, and designed distributed dynamics that provably converge to it and outperform Nash equilibria in common-pool and wireless resource-allocation use cases (IEEE TAC 2025, IEEE/ACM ToN 2021, IEEE TCNS 2021, WMNC 2019 Best Paper).

Teaching and mentoring

Jan to May 2022
Graduate Teaching Fellow EENG 310: Signals and Systems, Yale University
Summer 2025 to present
Arda Kara Research intern, Yale University. B.S. in Electrical and Electronics Engineering, Bilkent University (now M.S. student).
  • Ongoing work on a modular compiler for distributed quantum computing: separate components for network operation and routing, qubit mapping, and per-QPU compilation, coordinated by a discrete-event orchestrator so that compilation scales with the network.
Summer 2026 to present
Siddharth R. Chander Research intern, Yale University. B.S. student in Computer Science and Physics, Caltech.
  • Ongoing study of the resources that practically relevant quantum algorithms require and of how far current hardware is from providing them.
Summer 2026 to present
Raphael Bastos Research intern, Yale University. B.S. student in Computer Science, Penn State University.
  • Ongoing study of mathematical programming on quantum annealers, in a project carried out jointly with D-Wave: formulating smart-grid scheduling problems and solving them on D-Wave’s annealers.

Talks and presentations

Invited talk. “Rate-Fidelity Tradeoffs in All-Photonic and Memory-Equipped Quantum Switches.” Research seminar of the group of Patrick Eugster, Università della Svizzera italiana (USI), Lugano, Switzerland (online), May 2026.
“Compiler for Distributed Quantum Computing: A Reinforcement Learning Approach” and “Throughput Region of a Quantum Switch: Comparative Analysis under Different Regimes.” Quantum Networking Workshop: Modeling, Applications, Design (UMass Amherst, Yale, Argonne National Laboratory, and the Center for Quantum Networks), University of Massachusetts Amherst, June 2025.
Presented the first-authored conference papers listed on the publications page at INFOCOM 2023, IFIP Networking 2023, MobiHoc 2023, the SIGMETRICS 2023 workshop, ICC 2025, and QCNC 2026.
Research presentations at site visits of the NSF Center for Quantum Networks and of the Army Research Office MURI “Theory and Engineering of Large-Scale Distributed Entanglement.”

Honors and awards

Onassis Foundation Scholarship for graduate studies in Electrical Engineering (2023 to 2026).
A.G. Leventis Foundation Scholarship for graduate studies in Electrical Engineering (2021 to 2024).
Bodossaki Foundation Scholarship for graduate studies in Electrical Engineering (2021 to 2025).
Gerondelis Foundation Award for Academic Excellence (2020 to 2021).
NTUA Special Account for Research Funding Scholarship for Academic Excellence (2019 to 2020).
Space Hellas “Dimitris Manolopoulos” Scholarship for Academic Excellence (Dec. 2019).
Best Paper Award at the 12th IFIP Wireless and Mobile Networking Conference (WMNC 2019) for the paper “Redesigning Resource Management in Wireless Networks based on Games in Satisfaction Form” (Sept. 2019).
Three NTUA Thomaidion Awards for three publications on satisfaction equilibria and wireless resource management (2019 to 2022).

Academic service

Reviewer for IEEE JSAC, IEEE/ACM Transactions on Networking, IEEE Transactions on Communications, IEEE Transactions on Quantum Engineering, IEEE Communications Magazine, IEEE Access, WiOpt, MILCOM, and SPAWC.

Technical skills

Methods. Mathematical modeling, stochastic and queueing optimization, scheduling and resource allocation, reinforcement learning, game theory and mechanism design, approximation and heuristic algorithms.
Programming. Python, Java, C/C++, Julia, Matlab, R.
Tools. Qiskit, D-Wave Ocean SDK, Gym environments, Stable-Baselines3, PyTorch, TensorFlow, scikit-learn, SciPy, CVXPY, NetworkX, SimPy.
Software. CompilerDQC: open-source reinforcement-learning compiler and simulation environment for distributed quantum computing (Python, MIT license).

Languages

Greek. Native.
English. Fluent (C2; Certificate of Proficiency, Univ. of Michigan).