Ahmet Fatih Inci portrait

Ahmet Inci

Ph.D. Candidate
Electrical and Computer Engineering
Carnegie Mellon University

Email: ainci [AT] andrew [DOT] cmu [DOT] edu

Affiliation: [EnyAC] [OPAL]
  • I am a fourth year Ph.D. candidate at CMU, co-advised by Prof. Diana Marculescu and Prof. Gauri Joshi. Before joining CMU, I received my B.Sc. degree in Electronics Engineering at Sabanci University.

    My research interests include Systems for ML, HW/ML Model Co-Design, Hardware-Aware Neural Architecture Search, and recently Reinforcement Learning

    My current research focuses on designing efficient systems and ML models using HW/ML model co-design techniques and neural architecture search methods to achieve the best of both worlds. Recently, I have been working on scalable and efficient reinforcement learning training on CPU-GPU systems.



    Work Experience

    NVIDIA Research - Architecture Research Group in collobaration with AI Research
    May 2020 - August 2020
    Towards Scalable and Efficient Reinforcement Learning on CPU-GPU Systems

    ARM - ML Technology Group
    May 2019 - August 2019
    NASH: Neural Architecture Search for Heterogeneous Systems

    Cadence Design Systems - Virtuoso ML Team
    May 2018 - August 2018
    ML-based Recommendation System for EDA Tools