Eren Yildiz

I hold a Ph.D. degree from the Department of Computer Engineering at Ege University, specializing in embedded systems. Specifically, I am interested in exploring the realm of batteryless sensor devices that harvest power from ambient energy sources like RF, solar, and vibration. Throughout my Ph.D. thesis, I have dedicated my efforts to investigating system support for these devices, particularly focusing on intermitting programming and developing novel runtime techniques and hardware advancements. The primary objectives of my research are to enhance the programmability, energy efficiency, and overall performance of batteryless devices.

Research Interests

• Intermittent Computing
• Embedded Runtime Software
• Low-power Computing
• Energy Harvesting Systems
• Hardware Design
• Embedded AI
• Deep Learning

Education

• Ph.D., Ege University Computer Engineering Department, 2023.

  Thesis title: System Support for Efficient Operation of Batteryless Sensor.

• Visiting Researcher, Northwestern University Computer Science Department, 2021-2022.

  Research title: Adaptive Federated Power Management for Batteryless Sensors.

• M.Sc, Mersin University Electrical Electronics Engineering Department, 2018.

  Thesis title: Cyberbullying Detection And Classification With Artificial Intelligence Algorithms In Social Network.

• B.Eng, Mersin University Electrical Electronics Engineering, 2014.

• B.Eng, Universitat Politecnica de Valencia Electronics Engineering (Erasmus Ex- change Student), 2011-2012.

Professional Experience

• Research Assistant, Recep Tayyip Erdogan University, Computer Engineering Department, Rize, Turkiye, 2023-Present

• Research Assistant, Ege University Computer Engineering Department, Izmir, Turkiye, 2018-2023.

• Visiting Researcher, Northwestern University Computer Science Department,Chicago, USA, 2021-2022.

• R&D Engineer, Emtech Information Technologies, Mersin, Turkiye, 2015-2017.

Publications

• Fast-Inf: Ultra-Fast Embedded Intelligence on the Batteryless Edge, SenSys 2024.
• Memory-efficient Energy-adaptive Inference of Pre-Trained Models on Batteryless Embedded Systems, EWSN 2024.
• On Tracking Time with Better Resolution and Range in Batteryless Systems, ENSsys 2024.
• Bootstrapping health wearables powered by Intra-Body Power Transfer, BSN 2024.
• Adaptable Runtime Monitoring for Intermittent Systems, EuroSys 2024.
• Enabling Efficient Intermittent Computing on Brand New Microcontrollers via Tracking Programmable Voltage Thresholds, ENSsys 2023.
• Efficient and Safe I/O Operations for Intermittent Systems, EuroSys 2023.
• Immortal Threads: Multithreaded Event-driven Intermittent Computing on Ultra-Low-Power Microcontrollers, 6th USENIX Symposium on Operating Systems Design and Implementation (OSDI 22).
• ETAP: Energy-aware Timing Analysis of Intermittent Programs, ACM Transactions on Embedded Computing Systems (TECS).
• Persistent Timekeeping Using Harvested Power Measurements, Sensys'21 - ENSsys workshop.
• Defragmenting Energy Storage in Batteryless Sensing Devices, ENSsys 2020.
• On the accuracy of network synchronization using persistent hourglass clocks, ENSsys 2019.
• Automatic Detection of Cyberbullying in FORMSPRING. Me, Myspace and Youtube Social Networks, Turkish Journal of Engineering, 2019.
• Performance Analysis of Artificial Neural Network Based Classfiers for Cyberbulling Detection, UBMK 2018.
• The effects of attribute selection in artificial neural network based classifiers on cyberbullying detection, UBMK 2018.

Awards and Honors

• 2214-A - International Research Fellowship Programme for PhD Students Scholarship, TUBİTAK (Turkish Research Foundation), 2020, 20000$.

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