CV
Education
- Ph.D. in Agricultural and Biological Engineering, University of Florida, Herbert Wertheim College of Engineering, 2021-2025 (Expected)
- Focus: Digital Twins, Machine Learning
- Certificates: Biological Systems Modeling, Engineering Project Management
- M.S. in Electrical and Computer Engineering, University of Florida, Herbert Wertheim College of Engineering, 2019-2021
- B.S. in Electrical and Electronics Engineering, Izmir University of Economics, 2013-2018
Technical Skills
- Programming Languages
- ML/AI Frameworks
- PyTorch, TensorFlow, Scikit-learn, OpenCV
- Data Science & Tools
- NumPy, Pandas, Matplotlib, NVIDIA Omniverse, COMSOL Multiphysics
- Cloud/Infrastructure
- GitHub, Google Colab, HiPerGator HPC
- Areas of Expertise
- Machine Learning, Computer Vision, Digital Twins, IoT Systems, CFD Modeling
Research & Development Experience
- 2021-Present: Graduate Research Assistant
- University of Florida, Department of Agricultural and Biological Engineering
- Projects:
- Lead development of Digital Twin systems using NVIDIA Omniverse platform
- Implemented novel continuous temperature monitoring method for refrigerated fresh produce using sensor fusion and computer vision algorithms
- Developed CFD models using COMSOL Multiphysics for heat transfer analysis and ML-based surrogate CFD models for general-time digital twin integration of physics-based models
- Published research in leading journals including Postharvest Biology and Technology
- Presented research at multiple conferences such as ASABE AIM, Digital Twin Consortium Quarterly Meetings
Leadership & Mentorship
- Supervised multiple graduate and undergraduate researchers
- Co-host of UF ABE Biocomplexity Engineering Seminar Series
- Managed interdisciplinary teams on various research projects
Professional Affiliations
- Digital Twin Consortium (DTC)
- American Society of Agricultural and Biological Engineers (ASABE)
- Institute of Food Technologists (IFT)
