Looking for undergrad, grad students and postdocs for the following topics:
- *****Smart Farming – Robotics and AI for Selective weeding (hassas çapalama)
- Federated Learning
- Reinforcement Learning for any application
- Modeling reinforcement learning of human brain by considering two different reward sources: dopamine and serotonin.
- Digital modeling of neuron pools for robustness and efficiency of information coding via randomness and distributedness.
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RESEARCH AREA:
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SOME PROJECTS, THESIS and PAPERS:
Projects: Sustainable Urbanization with Innovative Technologies (SUIT) – TUBITAK 1004 Project, 2022- Graphical Modeling of Neural Signals – Newton Grant, 2020- Thesis: PERFORMANCE COMPARISON OF CLASSICAL AND QUANTUM MACHINE LEARNING ALGORITHMS, MS Thesis, Gorkem Arin, 2023- ENHANCING THE DETECTION ABILITY OF OPEN-WORLD OBJECT DETECTORS BY LEVERAGING UNATTENDED INFORMATIVE DATA, PhD, Gulin Tufekci, 2021- Papers: U. Cakal, Maryada, C. Wu, G. Indiveri, I. Ulusoy and D. Muir, “Gradient-descent hardware-aware training and deployment for mixed-signal Neuromorphic processors”, Neuromorphic Computing and Engineering, 2024, under review I. Ulusoy and S. Baghaee, “User comfort and energy efficiency in HVAC systems by Q-learning,” 2018 26th Signal Processing and Communications Applications Conference (SIU) , Izmir, Turkey, 2018 S. Geduk and I. Ulusoy, “A practical analysis of sample complexity for structure learning of discrete dynamic Bayesian networks,” Optimization , vol.71, no.10, pp.2935-2962, 2022 G. Algan and I. Ulusoy, “MetaLabelNet: Learning to Generate Soft-Labels From Noisy-Labels,” IEEE Transactions on Image Processing , vol.31, pp.4352-4362, 2022 G. Algan and I. Ulusoy, “Image classification with deep learning in the presence of noisy labels: A survey,” Knowledge-Based Systems , vol.215, 2021 G. Tüfekci et al. , “Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders,” 17th European Conference on Computer Vision, ECCV 2022 , vol.13806 LNCS, Tel-Aviv-Yafo, Israel, pp.549-559, 2022 |