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Muhammet Tahir Güneşer is an Associate Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU). With a doctorate from Karabuk University (2015), master's from Istanbul University (2010), and bachelor's from ITU (1999), he specializes in electromagnetics, microwave engineering, and renewable energy systems. Education: Doctorate (Karabuk University, 2015), Master's (Istanbul University, 2010), Bachelor's (ITU, 1999) Research Interests span broad disciplines including: Electromagnetics Microwave Engineering Antenna Design Embedded Systems Renewable Energy Systems Wireless Communication His work focuses on microwave imaging, low-power sensor design, and energy-efficient communication systems, collaborating with ITU Electromagnetics Research Group and industry partners like Procenne Company. Key Projects include: 6G Mobility-Aware Augmented Reality Connected Drones Communication Portable Microwave Hyperthermia Devices Deep Learning for Inverse Problems He has contributed to various scientific initiatives involving ultralow-power sensors, cryptographically secure random number generators, and thermal modeling of underground cables.

• Electromagnetics
• Microwave Engineering
• Antenna Design
• +3 more

Ender Ciğeroğlu is a Professor and Vice Rector at the Middle East Technical University (METU), Department of Mechanical Engineering. He holds a Ph.D. from The Ohio State University (2007) and academic degrees from METU (B.Sc. 1999, M.Sc. 2002) and Ohio State University (M.Sc. 2006). His research focuses on nonlinear dynamics, friction contact modeling, and vibration analysis of mechanical systems, particularly gas turbine blades, gear dynamics, and micro/nano-scale structures. Education: B.Sc. Mechanical Engineering, METU, 1999 M.Sc. Mechanical Engineering, METU, 2002 M.Sc. Mechanical Engineering, Ohio State University, 2006 Ph.D. Mechanical Engineering, Ohio State University, 2007 Research Interests: Nonlinear vibration analysis of bladed disks and mistuning identification Friction damping mechanisms in turbine engines Gear dynamics and dynamic transmission error reduction Energy harvesting via nonlinear metastructures Fluid-structure coupling in rotor systems Key Projects: Developed BDamper software for bladed disk analysis used by Rolls-Royce and GUIde Consortium Recipient of TÜBİTAK grants for vibration isolation systems and bladed disk mistuning research Collaboration with Rolls-Royce for industry-focused turbine blade research Lab Activities: Director of Vibrations Laboratory focusing on turbine blade dynamics Hosts visiting researchers from international institutions Supervises over 30 graduate students in nonlinear dynamics and vibration control

• Nonlinear Dynamics
• Friction Contact Modeling
• Structural Dynamics
• +7 more

Mustafa İ. Gökler is a Professor at the Middle East Technical University (METU) in Ankara, Turkey. His affiliation is listed at the address: Üniversiteler, Dumlupınar Boulevard No:1, 06800 Çankaya/Ankara. He holds a B.Sc. and M.Sc. from METU (1979 and unspecified year, respectively), and a Ph.D. from the University of Birmingham (1983). B.Sc. - METU M.Sc. - METU Ph.D. - University of Birmingham, 1983 His research focuses on advanced manufacturing technologies, including CAD/CAM systems (Solid/Surface Modeling), Metal Forming processes (Die Design in Forging, Sheet Metal, Press Operations), and the Design of CNC Machine Tools and Jig/Fixture systems. His work also extends to Chuck and Clamping Assembly Design. No specific articles, grants, or awards are explicitly listed in the provided texts. His academic contributions are centered on mechanical engineering design and manufacturing methodologies.

• CAD/CAM
• Metal Forming
• CNC Machine Tools Design
• +4 more

Reşit Soylu is a Professor at Middle East Technical University (METU) in Ankara, Turkey. His academic journey includes a B.Sc. and M.Sc. from METU (1979, 1982), followed by a Ph.D. in Mechanical Engineering from the University of Florida (1987). He specializes in Robotics, Mechanisms, Machine Dynamics, and Biomechanics, with notable contributions to experimental robotics, vision-based biomechanical analysis, and mechanism design. His research spans mechanical force generation, planar mechanisms, and equine locomotion analysis using advanced vision systems. He has also explored dental biomechanics and control systems for hybrid robots. His work emphasizes practical applications through test bed development and inertial parameter optimization. Education: Bachelor's Degree, Mechanical Engineering, METU, 1979 M.Sc., Mechanical Engineering, METU, 1982 Ph.D., Mechanical Engineering, University of Florida, 1987 Research Highlights: Prof. Soylu’s work bridges robotics and biomechanics, focusing on mechanisms’ dynamics, vibration analysis (e.g., horse-rider systems), and control strategies. He pioneered analytical synthesis techniques for linkages and contributed to flywheel energy storage optimization. His vision-based methodologies for equine motion analysis and dental biomechanics showcase interdisciplinary innovation. Advising & Grants: No specific advising or grant details are provided in the text.

• Robotics
• Mechanisms
• Machine Dynamics
• +3 more

Prof. Ahmet Cosar is a faculty member in the Department of Computer Engineering at the Middle East Technical University (METU), Ankara, Turkey. He holds a PhD in Computer Science from the University of Minnesota (1996), an MS in Computer Engineering from Bilkent University (1988), and a BS in Computer Engineering from METU (1986). His research focuses on distributed database design, query optimization, evolutionary algorithms, computer networks, and cloud computing. He leads the Intelligent Data Analysis Group (IDAG) and teaches courses such as CENG 240, CMPE 275, and CENG 280. Education: PhD, Computer Science, University of Minnesota, 1996 MS, Computer Engineering, Bilkent University, 1988 BS, Computer Engineering, METU, 1986 Research Interests: Query optimization in distributed databases Evolutionary algorithms (e.g., genetic algorithms, particle swarm optimization) Cloud computing and data warehouse design Machine learning applications in cybersecurity Wireless sensor networks and data fusion Publications: Over 50 peer-reviewed articles in journals like Computers & Industrial Engineering and Neurocomputing , focusing on optimization algorithms, cloud resource allocation, and machine learning techniques. Recent work includes island-parallel metaheuristics for graph coloring and reinforcement learning for adaptive interventions. Advising & Grants: Supervised over 30 graduate students (PhD and MS) in areas like evolutionary algorithms, cloud databases, and sensor networks. Active in research grants related to distributed systems and big data. Labs/Teams: Leads the Intelligent Data Analysis Group (IDAG), collaborating on projects in optimization, machine learning, and cloud computing.

• Distributed Database Design
• Query Optimization
• Evolutionary Algorithms
• +8 more

Selim Temizer is an Assistant Professor of Computer Science and Engineering at Nazarbayev University's School of Engineering and Digital Sciences (SEDS). Previously, he worked at Middle East Technical University (METU) for seven years before joining Nazarbayev University in August 2019. He holds a PhD and MS in Computer Science from MIT (2011 and 2001), and a BS in Computer Engineering from METU (1999, summa cum laude). His research focuses on artificial intelligence, robotics, autonomous systems, and dynamic collision avoidance for unmanned vehicles. Recent interests include machine learning applications in agriculture and algorithmic trading. He has developed simulation systems, navigation models, and contributed to POMDP-based collision avoidance frameworks for UAVs. Key projects include work on MIT's CSAIL (formerly AI Lab) under Professors Leslie Pack Kaelbling and Tomás Lozano-Pérez. Notable publications address collision avoidance algorithms for aircraft and POMDP applications in autonomous systems. He is also a software developer with expertise in parallel rendering, meta-language design, and embedded systems. His academic journey includes pioneering roles among Turkish students admitted to MIT's EECS program and being one of few Turkish MIT CS PhD holders. He teaches courses like Algorithmic Trading and maintains a portfolio of hobby projects in network topology design and graphics systems.

• Artificial Intelligence
• Robotics
• Autonomous Systems
• +4 more

Dr. Hamzah Syed is an Assistant Professor of Statistical Genetics and Bioinformatics at Koç University's School of Medicine. He leads research integrating statistical methods and machine learning into multi-omics studies, particularly targeting cancer and neurodegenerative diseases like ALS. His work focuses on overcoming drug resistance mechanisms in cancers such as prostate cancer and triple-negative breast cancer through epigenetic and genomic approaches. Dr. Syed holds a PhD in Biostatistics from the University of Liverpool and conducted postdoctoral research at University College London (UCL), specializing in rare disease datasets and bioinformatics tools. He is the principal investigator on a CIHR-funded project exploring microbiomic biomarkers for ALS and has secured over ten TÜBİTAK grants. His research portfolio includes developing computational platforms like EPIKOL for epigenetic vulnerability screening and MOPower for multi-omics power analysis. He manages clinical and multi-omic data for Koç University's high-performance computing infrastructure, ensuring robust data integration across medical research projects. Key research themes include drug resistance in solid tumors, epigenetic regulation in glioblastoma, and applying phenome-wide association studies (PheWAS) to understand disease mechanisms. His work bridges statistical rigor with translational applications, aiming to advance precision medicine strategies.

• Statistical Genetics
• Bioinformatics
• Multi-Omics Studies
• +3 more

Ali Özkahraman is a Researcher (M.Sc. Eng.) at the Department of Electronics and Communication Engineering, Faculty of Electrical and Electronics Engineering, Istanbul Technical University (ITU). He holds a B.Sc. from Eastern Mediterranean University (2011) and a Ph.D. from ITU (2018). His primary role involves teaching and research in electrical engineering disciplines. Education: B.Sc. in Electrical Engineering (2011, Eastern Mediterranean University), Ph.D. in Electrical & Electronics Engineering (2018, ITU) His research focuses on Embedded Systems , Machine Learning , and Image Processing . He has taught multiple courses, including Introduction to Logic Design , Basics of Electrical Circuits , and laboratory modules in electronics and circuits. He is affiliated with ITU's academic community through his teaching duties and lab coordination. No awards or grants are explicitly mentioned in the provided texts. His professional contributions are centered on undergraduate education and applied engineering research.

• Embedded Systems
• Machine Learning
• Image Processing
• +3 more

Mert Gür is an Associate Professor at Istanbul Technical University's Department of Mechanical Engineering, specializing in computational biophysics and molecular dynamics research. His work bridges mechanical engineering principles with biological systems, focusing on protein dynamics, molecular motors, and computational approaches to biomedical problems. His research interests span Molecular Dynamics , Computational Biophysics , Dynein Motor Proteins , and the application of Artificial Intelligence in Medicine . Gür's work combines mechanical engineering approaches with biological systems to understand protein mechanics, molecular motors, and drug binding mechanisms. His recent publications demonstrate a strong focus on integrating computational methods with experimental structural biology techniques like cryo-EM. Analysis of his recent publications reveals a research trajectory that increasingly incorporates artificial intelligence methodologies into traditional biophysics problems, particularly in medical applications. His work spans fundamental molecular mechanics of motor proteins like dynein to applied medical AI systems, showing remarkable breadth while maintaining a strong foundation in mechanical principles applied to biological systems. 2247-A Ulusal Lider Araştırmacılar Programı (2022) Bilim Akademisi Genç Bilim İnsanları Ödül Programı (BAGEP) (2022) NaturePublishing Group Award (2010) Üstün Başarılı Genç Bilim İnsanı Ödülü (GEBİP) (2016) Dr. Gür has successfully led eight research projects since 2015, including multiple TUBITAK-funded projects focusing on dynein motor proteins, molecular simulations, and medical applications. His supervised work includes ten students, indicating an active mentoring role. His current projects (2022-2025) continue to explore the molecular mechanics of dynein proteins using advanced computational techniques.

• Molecular Dynamics
• Computational Biophysics
• Protein Dynamics
• +5 more

Ozlem Keskin is a Professor in the Department of Chemical and Biological Engineering at Koc University, where she also serves as Associate Dean of the College of Engineering and Director of the Graduate School of Sciences & Engineering. Her research focuses on bioinformatics and computational biology, particularly protein-protein interactions and the human interactome. She leads a TUBITAK-funded project constructing the human interactome and develops algorithms for 3D modeling of cellular interactions. Her laboratory (Cosbi Lab) specializes in computational approaches to protein interactions, structural bioinformatics, and drug discovery. Research interests include protein interaction networks, structural coverage of the human interactome, conformational diversity in signaling pathways, and applications in neurodegenerative and cardiovascular diseases. She applies machine learning techniques to problems in protein interface prediction and validation. Recent publications (2023-2025) demonstrate extensive work on protein-protein interfaces, viral-host interactions, cancer signaling pathways, and microbiome alterations. Her team develops computational resources like PPInterface and DiPPI datasets and creates methods such as DeepAllo for allosteric site prediction. She maintains collaborations with clinical researchers on immunodeficiencies, neurodegenerative disorders, and women's health.

• Bioinformatics
• Computational Biology
• Protein-Protein Interactions
• +3 more

Muhammed Enes Atik is an Assistant Professor in the Department of Geomatics Engineering at Istanbul Technical University (ITU), affiliated with the Faculty of Civil Engineering. His academic roles include teaching and research supervision. He holds a PhD (2018), MSc (2016), and BSc (2011) in Geomatics Engineering from ITU. His research focuses on remote sensing, deep learning applications in geospatial data, UAV-based photogrammetry, and point cloud processing. Education: PhD in Geomatics Engineering, Istanbul Technical University, 2011–2018 MSc in Geomatics Engineering, Istanbul Technical University, 2016–2018 BSc in Geomatics Engineering, Istanbul Technical University, 2011–2016 Research Interests: Enes Atik specializes in integrating deep learning techniques with geomatics engineering to enhance photogrammetric applications, UAV data analysis, and point cloud segmentation. His work bridges remote sensing, GIS, and computer vision to address challenges in urban planning, disaster management, and infrastructure monitoring. Key areas include: 3D modeling and semantic segmentation of point clouds Optimization of UAV-based photogrammetric workflows Machine learning for remote sensing image classification Flood susceptibility analysis using GIS and AHP Cultural heritage documentation via laser scanning and photogrammetry Awards: IEEE GRSS Türkiye Thesis Competition Award (2022) Muhammed Enes Atik Prize for Student Excellence (2021) 3-Minute Thesis Competition Award (IEEE GRSS, 2024) Grants & Projects: Principal Investigator: 'Deep Learning-Based Disparity Map Estimation and DEM Generation from UAV Imagery' (2023–2025) Co-Investigator: '3D Modeling of Historical Instruments' (2021–2023) Lead Researcher: 'Flood Simulation Using Game Engines' (2024–ongoing) Teaching: Enes Atik instructs courses in programming fundamentals, photogrammetry, geomatics projects, and laser data engineering at both undergraduate and graduate levels.

• Geomatics Engineering
• Remote Sensing
• Deep Learning
• +4 more

İpek Yalçın Eniş is an Associate Professor at Istanbul Technical University in the Department of Textile Engineering. Her research spans biomaterials, sustainable textile technologies, and polymer science. Composite Material Design Vascular Graft Development Microfiber Pollution Mitigation Textile Waste Recycling Recent publications highlight her work on electrospun vascular grafts, biodegradation analysis of polymer scaffolds, and eco-friendly acoustic panels derived from textile waste. These studies emphasize mechanical property optimization, morphological characterization, and environmental sustainability. Her projects address critical challenges in microfiber release reduction, sustainable composite development, and biomedical textile innovation. She received the Publication Award in 2023 for her contributions.

• Textile Engineering
• Biomaterials
• Polymer Science
• +3 more

Tayfun Uyanık is an Assistant Professor at Istanbul Technical University's Department of Marine Engineering. His research focuses on advancing energy efficiency and sustainable technologies in maritime systems, including shipboard microgrids, renewable energy integration, and data-driven operational optimization for vessels. He actively publishes on maritime risk assessment methodologies and fuel consumption modeling. Uyanık's research explores: Energy management frameworks for port electrification and cold ironing Machine learning applications for ship system optimization and safety Risk assessment in polar navigation and machinery operations Renewable energy integration in maritime infrastructure His recent articles demonstrate strong emphasis on: Data-driven approaches for ship energy systems (appearing in 9 of 15 recent publications) Maritime decarbonization strategies (6 publications) Safety and risk modeling in navigation (5 publications) He currently leads a research project: Gemi Elektrik Şebekelerinde Bataryalar için Dijital İkiz Yöntemi Araştırması (2024-2025), investigating digital twin applications for ship battery systems.

• Marine Engineering
• Energy Efficiency
• Shipboard Microgrid
• +3 more

Gazi Koçak serves as an Assistant Professor in the Department of Marine Engineering at Istanbul Technical University, Istanbul. His research focuses on energy efficiency optimization, machine learning applications for marine systems, and advancing marine engineering education. With an active publication record including two 2024 journal articles and an h-index of 6 (Scopus), he contributes significantly to maritime technology innovation. His research spans energy efficiency analysis of ship power plants, condition monitoring of marine diesel engines using machine learning, marine refrigeration systems, and mechatronics integration in engineering curricula. Key themes address EEXI compliance, exergy efficiency at partial loads, fault diagnosis algorithms, and bridge navigation monitoring—critical for modern environmental and safety standards in shipping. Recent publications (2022-2024) demonstrate a strong shift toward data-driven methodologies, combining traditional marine engineering with AI techniques for predictive maintenance and operational efficiency. This includes motion heatmap generation for bridge watches and machine learning-based fault diagnosis systems. Kocak has led two major research projects: 'Condition Monitoring of Ship Machinery with Machine Learning Method' (2018-2021) and 'Machine Learning Method for Bridge Watch Officer Behavior Analysis' (2019-2022). He has supervised two research works, reflecting active mentorship in marine engineering, though specific student names and grant details remain undisclosed.

• Marine Engineering
• Energy Efficiency
• Marine Diesel Engines
• +5 more

Prof. Dr. Abdullah Fişne is a Professor at the Department of Mining Engineering at Istanbul Technical University (ITU). He holds a PhD in Mining Engineering from ITU and has been affiliated with the university since 2001 as a Research Assistant, advancing to Assistant Professor in 2010, then Associate Professor in 2015, and his current Professor rank. His expertise spans mining methods, mine safety, and ventilation engineering. He has led over 25 projects focusing on mine ventilation optimization, coal seam gas content analysis, and AI-driven mining systems. Notable awards include the 2008 Mining Doctorate Award and the 2002 Best Master’s Thesis Award. Education: PhD (2008), MSc (2002), BSc (1999) in Mining Engineering from ITU Research Interests: Prof. Fişne specializes in coal seam gas dynamics, mine fire safety, and underground ventilation systems. His work emphasizes practical solutions for spontaneous combustion prevention and gas content prediction using machine learning. Recent studies include asphaltite vein analysis and methane adsorption in the Soma Basin. Publications: His 32+ articles span gas content determination methods, ventilation system optimization, and coal outburst risk assessment. Recent trends focus on data-driven approaches and AI applications in mining safety. Grants/Projects: Lead investigator for projects like Çukuralan Gold Mine Ventilation System Optimization (2023–2024) and AI-Based Mining Operation Systems (2021). Awards: Recognized for contributions to mining safety and academic excellence. Labs/Teams: Active in ITU’s Mining Engineering Lab, collaborating on ventilation and gas management technologies.

• Mining Methods and Systems
• Mine Ventilation Engineering
• Coal Seam Gas Content Analysis
• +3 more