Hüseyin Uğur Yıldız
Portrait of Hüseyin Uğur Yıldız
TED University · Ankara, Türkiye

Hüseyin Uğur Yıldız

Associate Professor of Electrical & Electronics Engineering, TED University · IEEE Senior Member

I am an associate professor specializing in operations research and networked communication systems, developing optimization-based models for routing, resource allocation, and energy efficiency in wireless ad hoc, underwater acoustic, and drone-assisted networks. More recently, I combine mathematical optimization with machine learning and reinforcement learning, extending toward hybrid classical–quantum network routing under physical constraints such as entanglement lifetime and network reliability.

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SIMULATED SCENARIO
Legend
  • Normal transmission
  • Backup route (κ = 2)
  • Alarm transmission
  • Link degraded
  • Security threat
  • Eco threshold warning
  • Habitat observation
  • Seismic event
  • Offline sensor
  • Symbols not to scale · all data simulated
Event log
    LIVE T+00:00

    Interactive ocean digital twin — an underwater acoustic sensor network monitoring security, habitat, and seismic events on shared infrastructure. Simulated scenario; drag to orbit, click objects for details.
    830 citations 15 h-index 44 works Source: OpenAlex · updated Jul 1, 2026 · refreshed monthly

    News

    Older news
    • Journal paper published in Computer Standards & Interfaces: “Enhancing drone network resilience: Investigating strategies for k-connectivity restoration”.
    • Editorial published in Internet of Things (Elsevier), Special Issue on Mass Connectivity and Communication Paradigms for IoT.
    • Completed Reinforcement Learning Specialization (University of Alberta, Coursera).
    • Completed Deep Learning Specialization (DeepLearning.AI, Coursera).
    • Completed Machine Learning Specialization (DeepLearning.AI, Coursera).
    • Journal paper published in IEEE Sensors Journal: “Joint effects of void region size and sink architecture on underwater WSNs lifetime”.
    • Journal paper published in Ad Hoc Networks: “Exploring the tradeoff between energy dissipation, delay, and the number of backbones for broadcasting in wireless sensor networks through goal programming”.
    • Muhammed Çobanlar successfully defended his Ph.D. dissertation at TOBB University of Economics and Technology.
    • Journal paper published in IEEE Internet of Things Journal: “On the trade-off between network lifetime and k-connectivity-based reliability in UWSNs”.
    • Journal paper published in Ad Hoc Networks: “Reliability of linear WSNs: A complementary overview and analysis of impact of cascaded failures on network lifetime”.
    • Burak Emre Ün successfully defended his M.Sc. thesis at TOBB University of Economics and Technology.
    • Ceylan Aydın successfully defended her M.Sc. thesis at TOBB University of Economics and Technology.
    • Appointed Chair of the Electrical and Electronics Engineering Department, TED University.
    • Elevated to IEEE Senior Member grade.
    • Alper Özmen successfully defended his M.Sc. thesis at TOBB University of Economics and Technology.
    • Promoted to Associate Professor (Doçent) by the Interuniversity Council of Turkey (ÜAK).
    • Invited seminar at Georgia Institute of Technology: “Prolonging the Lifetime of Underwater Sensor Networks Under Sinkhole Attacks” (Host: Prof. Ian F. Akyildiz).
    • Invited talk at IEEE SIU 2019 – Special Session: “Maximization of Underwater Sensor Networks Lifetime via Fountain Codes”.
    • Invited seminar at ASELSAN Information and Communication Technologies Workshop: “Maximization of Underwater Sensor Networks Lifetime via Fountain Codes”.
    • Yıldız Karakurt successfully defended her M.Sc. thesis at TOBB University of Economics and Technology.
    • Çağla Tantur successfully defended her M.Sc. thesis at TOBB University of Economics and Technology.
    • Appointed as Assistant Professor in the Department of Electrical and Electronics Engineering at TED University.
    • Successfully defended my Ph.D. dissertation at TOBB University of Economics and Technology.

    Biography

    Huseyin Ugur Yildiz received the B.Sc. degree in Electrical and Electronics Engineering from Bilkent University, Ankara, Turkey, in 2009, and the M.Sc. and Ph.D. degrees from TOBB University of Economics and Technology, Ankara, in 2013 and 2016, respectively.

    Between 2010 and 2015, he worked at Turk Telekom, where he contributed to the design and operation of the Safer Internet Service, a nationwide content-filtering and parental-control platform used by more than five million subscribers. From 2015 to 2016, he was with Turkish Aerospace, where he was involved in the development and integration of communication and network architectures for ANKA unmanned aerial vehicle systems. He joined the Department of Electrical and Electronics Engineering at TED University in 2016, where he has been serving as an Associate Professor since 2021 and held the position of Department Chair from 2021 to 2024.

    He has authored over 40 peer-reviewed journal articles and conference papers, which have accumulated more than 1,000 citations. He received the IEEE Middle East and North Africa Communications Conference 2019 Best Paper Award and was elevated to IEEE Senior Member in 2021.

    Research focus

    Network technologies & systems

    • Ad hoc networks
    • Wireless sensor networks
    • Underwater acoustic sensor networks
    • Internet of Things
    • Drone networks
    • Smart grids

    Optimization & operations research

    • Linear programming
    • Mixed-integer programming
    • Constraint programming
    • Multi-objective optimization
    • Network flow programming
    • Meta-heuristics (SA/GA)

    Artificial intelligence & machine learning

    • Machine learning
    • Deep learning
    • Reinforcement learning
    • Neural networks
    • Proximal policy optimization
    • Graph neural networks

    Quantum networking

    • Entanglement routing

    Selected publications

    All 43 publications →

    Software

    Research program & software →

    On LinkedIn

    See all activity on LinkedIn →

    Prospective students

    I am interested in supervising highly motivated M.Sc. and Ph.D. students working at the intersection of operations research, mathematical optimization, and machine learning for next-generation networked systems, including wireless, underwater, and aerial communication networks. Interested candidates are encouraged to contact me via email with their CV, transcript, and a concise statement of research interests.