جست‌وجوی استاد و پژوهشگر

Burak Kılıçمشاهده پروفایل

پژوهشگر

• Materials Science
• Smart Manufacturing
• Artificial Intelligence
• +۵ مورد دیگر

Burak Kılıç is a Ph.D. candidate in Mechanical Engineering at Istanbul Technical University and a full-time Research Assistant at Işık University's Faculty of Engineering and Natural Sciences. His work bridges materials science, smart manufacturing, and AI through projects in computer vision, IoT, and big data applications. Ph.D. Candidate, Mechanical Engineering, Istanbul Technical University (2022–Present) M.Sc., Materials and Manufacture, Istanbul Technical University (2016–2022) B.Sc., Mechanical Engineering, Bulent Ecevit University (2008–2014) His research focuses on AI-driven solutions for real-world engineering challenges, including: Medical image segmentation (Swin-Unet, PyTorch) Smart agriculture systems (IoT, ESP32, MQTT) Industrial quality inspection (U-Net, Apache NiFi/Kafka) Big data analytics for earthquake correlations Recent publications highlight his work on Swin-Unet for MRI segmentation, age regression models for neurodegenerative analysis, and AI-powered marble slicing optimization. He collaborates across disciplines to connect industry needs with innovative research. Scientific awards include: TensorFlow Developer Certificate (2023) Google Machine Learning Bootcamp (2023) IBM Big Data Certification (2023) PADI Advanced Open Water Diver (2023) He mentors students through GitHub repositories and course materials development, while contributing open-source tools like MOOZE for AI assistant management. His work remains active in AIoT and precision manufacturing domains.

Ali Karakusمشاهده پروفایل

دانشیار

• Computational fluid dynamics
• High-level continuous and discontinuous finite elements
• Multiphase flow
• +۵ مورد دیگر

Ali Karakus is an Associate Professor at Middle East Technical University (METU) and Deputy Head of Department. He obtained his Bachelor's degree (2005), Master's degree (2009), and PhD (2015) from METU. His research focuses on computational fluid dynamics, high-order numerical algorithms, and GPU-accelerated solvers for multiphysics problems. Specializes in high-performance scientific computing and finite element methods. Develops GPU-optimized solvers for compressible/incompressible flows, level-set reinitialization, and physics-informed neural networks. The Accelerated Multiphysics (AMiP) research group, led by Dr. Karakus, emphasizes discontinuous Galerkin approaches, adaptive mesh refinement , and Jacobian-free Newton-Krylov methods . His recent work integrates data-driven modeling with traditional fluid dynamics solvers. Notable scientific achievements include: 2024 Lecturer of the Year award from METU Parlar Foundation Collaborative publications on NekRS , a GPU-accelerated Navier-Stokes solver Selected as a groundbreaking paper in Parallel Computing journal Dr. Karakus has supervised multiple M.Sc. theses on topics including: High-order Boltzmann solutions for low Mach aerodynamics Physics-informed neural networks in CFD GPU-accelerated level-set reinitialization His publications demonstrate expertise in GPU parallelization , mesh deformation , and weakly compressible flow modeling .