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Tülin Yanık is an Associate Professor in the Department of Biological Sciences at Middle East Technical University (METU). Her research focuses on intracellular trafficking, processing, and secretion of neuropeptides and peptide hormones related to obesity, with recent work investigating hypothalamic appetite regulation, psychotic drugs, childhood obesity, Type-2 Diabetes, atherosclerosis, and nano-architectural approaches for neurons. She employs cell lines, animal models, and human subjects in her studies. Education: Postdoc at NIH (2003–2006), PhD/MSc/BSc from The George Washington University and Ege University. Key Research Themes: Neuropeptide regulation, metabolic disorders, neuropharmacology, and nanotechnology in biomedicine. Her publications highlight investigations into leptin, hypothalamic modulation by antipsychotics, and the role of melanocortin receptors in obesity. She explores nanomaterials for enhancing neural cell functions and mitochondrial effects of hyperlipidemia. Research also addresses maternal obesity’s impact on offspring pancreatic cells and synaptic integrity in neurological contexts. Labs/Teams: Her laboratory integrates molecular biology, pharmacology, and nanotechnology to address obesity, diabetes, and neurodegenerative mechanisms.

• Neuroscience
• Endocrinology
• Obesity Research
• +4 more

Selda Güney is an Assistant Professor in the Department of Electrical and Electronics Engineering at Başkent University's Faculty of Engineering. She holds a PhD (2013), Master's (2007), and Bachelor's (2004) in Electrical-Electronics Engineering from Karadeniz Technical University. Her professional experience includes roles as an R&D Engineer at DEKA Digital (2004-2005), Research Assistant at Karadeniz Technical University (2005-2013), and Assistant Professor at Başkent University (2013-present). Her research spans: Machine Learning : Applications in medical imaging, radar, and industrial systems Signal/Image Processing : Focus on real-time classification and fault detection Pattern Recognition : Electronic nose systems and biometric analysis Her recent publications demonstrate strong emphasis on deep learning applications in healthcare (chest X-ray classification, fracture detection) and industrial automation (real-time fault detection systems). Over 70% of her last 15 articles involve medical/industrial AI implementations using convolutional networks. Awards & Honors: TÜBİTAK Domestic PhD Scholarship IBEC ERASMUS Scholarship Research Leadership: Supervised 20+ graduate theses (e.g., radar data classification, medical image steganography) and led 9 R&D projects including: AI-based pathology classification in lung X-rays VR glove development Smart parking systems She is a member of IEEE and ISOCS, and teaches courses including Pattern Recognition, Signals and Systems.

• Machine Learning
• Signal Processing
• Image Processing
• +3 more

Bayram Bozhüyük is an Associate Professor and currently serves as Department Head at Gaziantep University's Faculty of Fine Arts, Department of Graphic Arts. With a career spanning over a decade at the university, he has established himself as a prominent academic in graphic design and visual communication. His educational background includes a Proficiency in Arts degree (2017-2020) from Hacettepe University's Institute of Fine Arts, a Master's degree (2012-2014) from Süleyman Demirel University's Institute of Fine Arts, and a Bachelor's degree (2001-2005) from Süleyman Demirel University's Faculty of Fine Arts, Graphic Design Department. Bozhüyük's research interests span a diverse range of topics within graphic design, with particular focus on historical graphic design elements , visual communication history , illustration , and the adaptation of traditional techniques to digital media . His work frequently examines the intersection of historical visual elements with contemporary design practices, exploring how medieval, Renaissance, and early modern graphic traditions inform current design approaches. His publication record demonstrates consistent scholarly output with 14 peer-reviewed articles published between 2020-2025, alongside 4 book chapters and 8 conference papers. The research trends show a strong emphasis on historical continuity in graphic design , with particular attention to how historical elements like medieval imagery, chromolithography techniques, and early comic book styles continue to influence contemporary visual communication. His work bridges art history with practical design applications, examining everything from food photography composition to digital comic book production. Bozhüyük has also contributed significantly through practical design work, having created numerous exhibition posters, catalogs, and visual identity projects for university events and cultural institutions. His teaching portfolio is extensive, covering advanced photography, illustration, digital game design, and various graphic design courses at both undergraduate and graduate levels. As an active member of the academic community, he serves on the Gaziantep City Council's Art Working Group and has edited the IDEART International Design and Art Journal. His practical experience extends beyond academia through his previous role as manager of Gaziantep Design House (2008-2013), where he directed advertising agency operations.

• Graphic Design
• Visual Communication Design
• Illustration
• +6 more

Tayfun Akgül is a Professor at Istanbul Technical University's Faculty of Electrical and Electronics Engineering, Department of Electronics and Communication Engineering. With academic affiliations spanning decades, he combines engineering rigor with innovative research in signal processing and underwater acoustics. His research focuses on advanced signal processing techniques, including Compressive sensing and cyclostationary analysis Underwater acoustic monitoring and sensor arrays Thermal imaging and infrared reflection modeling Biometric identification through facial attributes Seismic signal processing Recent publications demonstrate expertise in Propeller noise analysis in maritime environments Micro-Doppler helicopter signature detection Seismic activity precursor identification Novel fisheye camera human detection systems Awarded Most Successful Doctoral Thesis Award from TESID (2024) IEEE Top 10 Award (2013) he maintains active IEEE membership since 1992 and has led multiple high-impact projects including casualty detection systems and electric vehicle warning systems.

• Image Processing
• Signal Processing
• Audio and Speech Processing
• +5 more

Prof. Dr. Bilge Günsel is a distinguished Professor at the Electronics and Communication Engineering Department of Istanbul Technical University . With a career spanning over three decades, she has served in academic and administrative roles including Department Head (2007-2010) and Deputy Head (2005-2006). Her research focuses on Signal Processing , Image Processing , and Machine Learning , with recent work on dynamic convolutional neural networks and video object tracking. Education : PhD (1994) and BS (1985) from Istanbul Technical University in Electronics & Communication Engineering. Research Interests include: Dynamic CNNs for scene classification Video object tracking with deep learning Meta-learning approaches in object verification Transfer learning for crowd density estimation Recent Publications (2021-2024) demonstrate expertise in: Target-driven inference in video tracking Dynamic convolution techniques Instance segmentation integration Scientific Achievements : Scopus h-index of 18 Over 1252 citations Principal Investigator (PI) for two major BAP projects (2016-2019) Collaborations span Turkey and international institutions, with research outputs in partnership with IEEE and academic peers like Furkan Gurkan and Yavuz K. Hanoglu. She continues to lead cutting-edge research while maintaining active teaching and administrative duties.

• Signal Processing
• Image Processing
• Machine Learning
• +5 more

Dr. Ramazan Kozan is a full-time faculty member in the Department of General Surgery at Gazi University Faculty of Medicine since 2019. His primary affiliations include professional memberships in organizations such as the Turkish Surgical Society, Turkish Society of Colon and Rectal Surgery, and the National Endoscopic Laparoscopic Surgery Society. Colorectal Surgery Pelvic Floor Disorders Robotic & Laparoscopic Surgery da Vinci Robotic Console Surgeon His research focuses on surgical interventions for colorectal diseases, pelvic floor disorders, and robotic laparoscopic techniques. He has contributed to the validation of clinical tools and surgical outcomes in colorectal cancer, and his work includes experimental studies on surgical physiology and postoperative complications. The article trends highlight his expertise in colorectal surgery , minimally invasive techniques , and surgical responses to emerging infectious diseases like SARS-CoV-2. His work bridges clinical practice , experimental research , and cross-disciplinary collaboration in surgical innovation. FACS : Fellow of the American College of Surgeons (2023) FEBS-Coloproctology : European Board Qualification in Colorectal Surgery (2024) He has authored over 40 peer-reviewed publications and actively contributes to editorial and review processes in national surgical journals. His certifications include Endoscopy Training from the Turkish Surgical Society and da Vinci Robotic Console Surgeon accreditation.

• Surgery
• Colorectal Surgery
• Proctology
• +3 more

Mehmet Çayören is a Professor at Istanbul Technical University in the Department of Electronics and Communication Engineering. His research focuses on applying microwave imaging techniques to medical diagnostics, particularly for early detection of breast cancer. He leads the development of the SAFE (Screening and Early Detection) microwave imaging system, which has shown promising results in clinical investigations. His work bridges electrical engineering, biomedical applications, and machine learning for improved cancer screening. Dr. Çayören's research interests span multiple domains within electromagnetic applications for medical imaging: Microwave imaging systems for breast cancer detection and screening Determination of dielectric properties of biological tissues Development of open-ended coaxial probe techniques for material characterization Application of machine learning algorithms (XGBoost, SVM) to enhance medical imaging Monitoring of intracerebral hemorrhage using microwave imaging Development of tissue-mimicking phantoms for medical device validation His recent publications demonstrate a strong trend toward integrating advanced machine learning techniques with microwave imaging systems to improve diagnostic accuracy. The SAFE platform represents a significant advancement in non-invasive breast cancer screening, particularly for dense breast tissue where traditional mammography has limitations. His work also extends to neurological applications, with research on microwave-based monitoring of brain hemorrhages. Scientific awards received by Dr. Çayören include: Teknoloji Ödülü (Technology Award) in 2014 Dr. Çayören has supervised 24 students and leads multiple research projects funded by various sources including TUBITAK. His current projects focus on microwave imaging systems for breast cancer screening, monitoring of intracerebral hemorrhage, and hardware design for microwave imaging systems. He collaborates extensively with medical professionals to validate his imaging systems in clinical settings. Dr. Çayören leads a research group focused on microwave imaging applications in medicine. His team develops both hardware systems (like the SAFE platform) and advanced signal processing algorithms to improve medical diagnostics. The group maintains close collaborations with hospitals for clinical validation of their imaging systems.

• Microwave Imaging
• Dielectric Properties
• Antenna Engineering
• +5 more

Semih Doğu is an Assistant Professor at the Department of Electronics and Communication Engineering , Faculty of Electrical and Electronics Engineering , Istanbul Technical University . His research focuses on Electromagnetic Theory , Microwave Imaging , Inverse Scattering Problems , and Antenna Design . Doctorate: Istanbul Technical University (2023) Master's: Istanbul Technical University (2017) Bachelor's: Yıldız Technical University (2015) His research interests emphasize microwave-based diagnostics, including: Microwave imaging for breast cancer detection Antenna optimization for medical and security applications Inverse problem solving in electromagnetic systems Through-the-wall imaging for surveillance Semih Doğu's recent publications demonstrate his expertise in: Neural networks for temperature monitoring in hyperthermia Ku/Ka-band antenna designs for satellite systems Microwave salinity sensing Algorithm development for improved imaging accuracy He contributes to the ITU Electromagnetics Research Group , participating in projects like: Microwave Brain and Breast Imaging Device Development Compressed Sensing for Energy-Efficient Communication Microwave Tissue Analysis

• Electromagnetic Theory
• Microwave Imaging
• Inverse Scattering Problems
• +3 more

Oğuz Haşlakoğlu is an Associate Professor in the Department of Architecture at Istanbul Technical University . His research spans interdisciplinary art, aesthetics, visual design, and art philosophy, with a focus on the intersection of classical thought and modern artistic practices. His scholarly work explores themes such as the role of museums in canon formation, new materialism, design ethics, and the ontological processes of art creation. He has led projects like Sanat ve Kültür and Revolving Fund Romantizmin 20 Yüzyıl Avangart Sanatına Etkileri , reflecting his engagement with both theoretical and applied research. Education : MFA in Painting from Mimar Sinan Fine Arts University (2004–2005), MA in Philosophy (1995–1999), MA in Painting (1991–1994), and BFA in Painting (1986–1991). Administrative Roles : Department Head at Istanbul Technical University (2016), Dean at Istanbul Aydın University (2011–2012), and leadership roles in committees at Akdeniz University and UNESCO AIAP Turkey National Committee. His academic contributions include membership in institutions like the I.T.U. Bilim-Toplum Application-Research Center and the Yapay Zekâ ve Veri Bilimi Uygulama ve Araştırma Merkezi . His email is haslakoglu@itu.edu.tr .

• Fine Arts
• Interdisciplinary Art
• Art Philosophy
• +5 more

Abdullah Karaman is a Professor at the Department of Geophysical Engineering, Istanbul Technical University (ITU). His research focuses on geophysical modeling, subsidence due to longwall mining, hydrothermal systems, and seismic data analysis. He leads projects on geothermal applications using particle swarm optimization and collaborates internationally. Dr. Karaman has supervised 8 ongoing theses and has authored/co-authored over 17 publications since 1997. His work spans geophysical exploration, environmental geohazards, and subsurface imaging techniques. Education: Master of Science in Geophysics (1989) Research Interests: Hydrothermal system characterization using magnetotelluric methods Seismic inversion and diffraction imaging Geophysical monitoring of coal mine subsidence Optimization algorithms in geophysical data analysis Awards: None explicitly mentioned. Grants & Projects: Geothermal Applications of Particle Swarm Optimization Modeling Technique (2016–2021) Kordil Engineering Company: Geophysical consulting for international projects (2021) His lab focuses on integrating geophysical techniques with machine learning for high-resolution subsurface imaging.

• Geophysical Engineering
• Hydrothermal Systems
• Seismic Data Analysis
• +3 more

Prof. Dr. Gencer Elkılıç is a Full-time Professor at the Department of Western Languages and Literatures within the Faculty of Arts and Sciences at Kafkas University , Turkey. With a career spanning over two decades at the same institution since 2001, he has held administrative roles including Dean, Department Chair, and Director of Vocational Schools. His academic journey began with a PhD in English Language Teaching from Atatürk University (2000), preceded by an MA in Teaching English as a Foreign Language (1995) and BA in Foreign Language Education (1990).

• Language Usage Science
• Phonology
• Morphology

Bülent Haznedar is an Associate Professor in the Department of Computer Engineering at Gaziantep University's Faculty of Engineering, a position he has held since 2024. Previously, he served as Doctor Lecturer at Gaziantep University (2021-2024) and held academic positions at Hasan Kalyoncu University (2013-2021) and Erciyes University (2011-2013), where he progressed from Lecturer to Department Head. His educational qualifications include: Doctorate in Computer Engineering from Erciyes University (2011-2017) Master's degree in Computer Engineering from Erciyes University (2007-2010, with thesis) Licence degree in Computer Engineering from Erciyes University (2003-2007) Dr. Haznedar's research centers on Artificial Intelligence and Machine Learning applications, with significant contributions in hydrological modeling (streamflow forecasting using hybrid ANFIS algorithms), renewable energy (solar radiation optimization), medical diagnostics (thyroid nodule classification and cancer detection), and cultural heritage informatics (3D point cloud segmentation for historical buildings). His work consistently integrates fuzzy logic systems with metaheuristic optimization techniques to solve complex prediction problems. Analysis of his 29 journal articles (2016-2024) reveals a dominant focus on Adaptive Neuro-Fuzzy Inference Systems enhanced by evolutionary algorithms (PSO, GA, ABC) across hydrology and medical domains, with recent expansion into sustainable energy and heritage preservation. His publications show increasing interdisciplinary collaboration, particularly in TUBITAK-funded projects. His scientific recognition includes: TUBITAK Publication Encouragement Awards (2018, 2023) TUBITAK PhD Scholarship (2011) TUBITAK Master's Scholarship (2008) Dr. Haznedar has supervised eight master's theses on AI applications in streamflow forecasting, energy prediction, cancer classification, and heritage modeling. His research is supported by seven projects, most notably the TUBITAK 1001 project (2019-2023) developing Heritage Building Information Modeling for Turkey's cultural heritage restoration. He also contributed to TUBITAK's Digital Prosthesis Workshop initiative. While specific laboratory affiliations aren't detailed, his leadership in the TUBITAK cultural heritage project indicates active collaboration with multidisciplinary teams spanning engineering, computer science, and heritage conservation disciplines.

• Artificial Intelligence
• Machine Learning
• Fuzzy Logic
• +5 more

Seda Keskin Avcı serves as Professor in the Chemical and Biological Engineering Department at Koç University, Istanbul, directing the Nanomaterials, Energy, and Molecular Modeling Research Group (NEMO). Appointed in 2010 and promoted to full professor in 2018, she holds the distinction of being Türkiye's youngest female professor in chemical engineering. Her research bridges computational modeling with experimental validation to develop advanced materials for sustainable energy solutions. Education: PhD, Georgia Institute of Technology (2009) MSc, Boğaziçi University (2006) BS, Boğaziçi University (2004) Professor Keskin's research focuses on AI-accelerated design of metal-organic frameworks (MOFs) and covalent organic frameworks (COFs) for gas separation and carbon capture. She pioneers integration of molecular simulations with machine learning to predict material properties, specializing in ionic liquid composites and flexible frameworks. Her work targets critical energy challenges including CO 2 /N 2 separation, hydrogen purification, and acetylene/ethylene processing through computational-guided material discovery. Analysis of her 2024-2025 publications reveals a decisive shift toward artificial intelligence integration in materials science, with 80% of recent work combining machine learning with molecular simulations. Key themes include high-throughput screening of MOF/COF databases, development of IL-MOF composites for enhanced selectivity, and exploration of framework flexibility effects. This interdisciplinary approach has established new methodologies for accelerating materials discovery cycles in porous media research. Scientific Awards: ERC Starting Grant (2017) ERC Consolidator Grant (2023) Outstanding Women in Chemical Engineering by Chemical Engineering Research and Design TÜBİTAK Incentive Award (2013) TÜBA Gebip Award (2012) Professor Keskin leads the NEMO research group with significant funding including two landmark ERC grants - Türkiye's first for a female engineer in this field. Her group operates at the intersection of computational chemistry and chemical engineering, developing open-source simulation frameworks while maintaining strong industry partnerships for membrane technology commercialization. Current projects focus on scaling AI-designed materials for industrial carbon capture applications. The Nanomaterials, Energy, and Molecular Modeling Research Group (NEMO) operates advanced computational infrastructure for molecular dynamics simulations and machine learning training. The group maintains collaborative ties with Georgia Tech, MIT, and European research consortia while actively developing experimental validation capabilities for computationally predicted materials through Koç University's nanotechnology center.

• Material Science
• Energy
• Artificial intelligence-guided material design and discovery
• +2 more

Emine Ülkü Sarıtaş is an Associate Professor at the Department of Electrical and Electronics Engineering and the National Magnetic Resonance Research Center (UMRAM) at Bilkent University, Ankara, Turkey. She serves as the Associate Director of UMRAM and chairs the IEEE Turkey Section Women in Engineering since 2016. Her research focuses on novel biomedical imaging techniques, particularly magnetic resonance imaging (MRI) and magnetic particle imaging (MPI).

• Biomedical Imaging
• Magnetic Resonance Imaging (MRI)
• Magnetic Particle Imaging (MPI)
• +3 more

Dr. Faris Serdar TAŞEL is an Assistant Professor at Cankaya University's Faculty of Engineering and Architecture, Department of Computer Engineering. He holds a Ph.D. in Medical Informatics from Middle East Technical University (2016) and has expertise in Computer Vision and Image Processing. His research focuses on medical image analysis, particularly mitochondria segmentation from electron microscope tomography. Education: B.Sc. in Computer Engineering, Cankaya University (2004) M.Sc. in Computer Engineering (3D Reconstruction Using Stereo Images), Cankaya University (2008) Ph.D. in Medical Informatics (Detection and Segmentation of Mitochondria from Electron Microscope Tomography Images), Middle East Technical University (2016) Research Interests: Combining computer vision techniques with medical imaging challenges, including 3D reconstruction, medical image processing, and automated analysis tools for biological structures like mitochondria. His work bridges engineering and biomedical sciences to develop practical software solutions for microscopic image analysis. Awards: 2016-2017 METU Thesis of the Year Award for doctoral research Labs/Teams: Active in medical image processing research groups, focusing on developing tools like MitoSeg for mitochondrial analysis in electron microscopy.

• Computer Vision
• Image Processing
• Medical Informatics
• +3 more