جستجوی استاد راهنمای دانشگاهی

Serkan Simsekمشاهده پروفایل

استاد

• Optics
• Photonics
• Electromagnetics
• +۱ مورد دیگر

Prof. Serkan Simsek is a Professor at the Department of Electronics and Communications Engineering, Faculty of Electrical and Electronics Engineering, Istanbul Technical University. He holds a PhD in Telecommunication Engineering from the same institution. His academic roles include serving as Vice Dean (2020-2023) and Program Coordinator of the ITU-NJIT Joint Degree Program. His research focuses on Optics, Photonics, Electromagnetics, and Microwave/Antenna Technologies. Education: PhD in Telecommunication Engineering (Istanbul Technical University, 2008), MSc in Electronics Engineering (Istanbul Technical University, 2003), and BSc in Electrical-Electronic Engineering (Istanbul University, 2001). Research interests span antenna design, electromagnetic bandgap structures, microwave imaging, and slow-wave structures. Notable projects include developing breast cancer imaging systems and optimizing antenna performance using metamaterials. He has been awarded the Leopold B. Felsen Award for Excellence in Electromagnetics (2009). His 14 advisees include students working on topics like 5G amplifiers, low-profile antennas, and ultrawideband arrays. Prof. Simsek contributes to academic administration and has coordinated multiple international joint degree programs. His lab focuses on advanced antenna systems and microwave engineering applications.

Engin Erzinمشاهده پروفایل

استاد

• Artificial Intelligence
• Multimedia Systems
• Computer Vision
• +۶ مورد دیگر

Engin Erzin is a Professor at Koç University's College of Engineering, leading the KUIS AI Lab and Multimedia, Vision and Graphics Lab . His research focuses on AI-driven human-centric systems, affective computing, and multimodal interaction analysis. He has contributed extensively to robotics, speech processing, and human-robot interaction through over 70 peer-reviewed publications since 2008. Research interests include: Affective computing and emotion recognition from speech/gestures Human-robot interaction and socially engaging agents Speech-driven animation and gesture synthesis Multimodal data fusion for interaction analysis Deep learning applications in robotics and biomedical engineering Recent work emphasizes: Developing adaptive pHRI controllers for manufacturing tasks Creating engagement measurement frameworks for human-machine interfaces Advancing Turkish speech recognition through self-supervised learning Designing multimodal databases for interaction studies Labs: KUIS AI Lab : Focuses on AI applications in robotics and human-computer interaction Multimedia Lab : Specializes in vision, graphics, and audiovisual analysis

• Computer vision
• Machine learning
• Statistical data analysis
• +۳ مورد دیگر

Ceyhun Burak Akgül is a Part-Time Lecturer specializing in Computer Vision, Machine Learning, and Statistical Data Analysis. His research focuses on interdisciplinary applications of visual data processing, including medical imaging and 3D object recognition. He maintains a personal website at cba-research.com and can be contacted at cb.akgul@gmail.com . His work spans topics such as image captioning, visual dictionaries, and symbolic feature detection. Key contributions include developing algorithms for action recognition using depth cameras and frameworks for leaf and object recognition. His research also integrates medical applications, such as analyzing Alzheimer’s patient movements and automated diagnosis using imaging data. Akgül’s publications frequently address challenges in 3D shape descriptors, feature selection, and interdisciplinary methodologies. His recent work includes exploring visual dictionaries and improving image processing techniques through model-driven approaches. His academic contributions are evident in journals like the Journal of Visual Communication and Image Representation, and he has participated in competitions like SHREC. Despite his extensive publication record, no formal awards or grants are explicitly mentioned in the provided data.

• Metamaterials
• Electromagnetic Theory
• Microwave Techniques
• +۳ مورد دیگر

Prof. Dr. Evren EKMEKÇİ is a Professor at the Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences, Süleyman Demirel University. He holds a licentiate degree from Süleyman Demirel University and a doctorate from Middle East Technical University. His academic career includes roles as Assistant Professor (2011-2017) and Associate Professor (2017-2022) before his current position since 2022. His research focuses on metamaterials, electromagnetic theory, microwave techniques, antenna design, microwave sensors, and dielectric resonators. Notable contributions include high-impact studies on metamaterial-based sensors and terahertz applications, with over 1272 citations and an h-index of 16 (Google Scholar). Key research trends in his articles include metamaterial design for sensing applications, dielectric resonator-based sensors, and electromagnetic absorption mechanisms. He has led projects such as 'Multi-functional metamaterial sensor design' (2014-2017) and 'Chemical liquid sensing with all-dielectric absorbers' (2019-2021). Prof. EKMEKÇİ has authored numerous peer-reviewed articles in journals like IEEE Sensors Journal and Applied Physics A. His work bridges theoretical electromagnetic principles with practical sensor and antenna innovations. He teaches courses on antennas, electromagnetic waves, and microwave techniques, contributing to both academic and applied engineering education.

Tamer Ölmezمشاهده پروفایل

استاد

• Biomedical Signal Processing
• Brain-Computer Interfaces
• Deep Learning
• +۷ مورد دیگر

Tamer Ölmez is a Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU), College of Engineering, where he conducts cutting-edge research in biomedical signal processing, brain-computer interfaces (BCI), and deep learning applications in medical systems. His work bridges engineering and neuroscience, with a strong focus on EEG-based motor imagery classification, medical image analysis, and embedded deep learning systems. His research interests include motor imagery EEG signal processing , brain-computer interfaces , feature extraction , deep neural networks , classification algorithms , and medical image analysis . He applies machine learning and signal processing techniques to improve diagnostic accuracy and system performance in neuroengineering and healthcare technologies. The recent publications highlight a consistent trend in leveraging divergence-based deep neural networks , convolutional neural networks , and small-sized models for efficient and accurate classification in BCI and medical imaging. His work emphasizes performance improvement with reduced channel counts, noise elimination, and real-time applicability in embedded systems. Scientific Awards: Excellent Oral Presentation Certificate, June 1, 2015 Advising and Grants: He is actively supervising 26 theses in progress, indicating a strong mentoring role. He has led multiple funded research projects, including those funded by ITU’s Technology Transfer Office (TTO) and Scientific Research Projects (BAP), such as 'Classification of Medical Images with Deep Learning Method in Embedded Systems' and 'New Approaches to Finding Optimal Protein Folding'. Labs and Research Teams: While specific lab names are not mentioned, his collaborative fingerprint and project leadership suggest he leads or is a key member of a research group focused on biomedical signal processing, neural networks, and intelligent systems at ITU.

• Human Genetics
• Genetic Mapping
• Inherited Disorders
• +۷ مورد دیگر

Professor Tayfun Özçelik serves as Dean of the Faculty of Science at Bilkent University, where he chairs the Department of Molecular Biology and Genetics. A distinguished human geneticist, his career spans foundational work in identifying genes for inherited disorders and pioneering DNA identification in Turkish judiciary systems. He has led diagnostic genetics laboratories at both Istanbul and Bilkent Universities. 1986: MD, İstanbul University Medical School Postdoctoral: Physiology (Munich), Human Genetics (Yale), Howard Hughes Medical Institute (Stanford) His research focuses on molecular characterization of inherited disorders including Prader-Willi syndrome, Charcot-Marie-Tooth disease, and Parkinson’s. Current projects examine complex phenotypes like obesity and polycystic ovarian syndrome through genetic mapping and reverse phenotyping in consanguineous families. Recent work explores type I IFN immunity in severe COVID-19 cases. Key scientific contributions include discoveries of SNRPN for PWS, PMP22 for CMT1A, and HTRA2 for Parkinson’s. His lab also identified genes VLDLR , WDR81 , and ATP8A2 linked to cerebellar hypoplasia. Scientific Awards TÜBİTAK Young Investigator Award (1996) Bayındır Medical Award (2006) TÜBİTAK Science Award (2012) Dr. Özçelik has advised numerous graduate students and collaborates internationally, particularly with Rockefeller University. His work extends to X chromosome inactivation patterns in autoimmune diseases and establishing genomic medicine infrastructure in Turkey.

• Nuclear Physics
• Biophysics
• Radiation Detection
• +۵ مورد دیگر

Professor SEFA ERTÜRK is a distinguished academic at Nigde Omer Halisdemir University, holding positions in both the Faculty of Medicine (Department of Basic Medical Sciences/Biophysics) and previously in the Faculty of Science and Letters (Physics Department/Nuclear Physics). With a career spanning over 25 years since earning his doctorate from the University of Liverpool in 1998, he has progressed through academic ranks from Research Assistant to full Professor. His educational background includes a Doctorate (1994-1998) and Master's degree (1993-1994) in Physics from the University of Liverpool, and a Bachelor's degree (1987-1991) in Physics from Çukurova University. His doctoral thesis focused on 'Gamma ray spectroscopy of 150Gd and 151Gd'. Professor ERTÜRK's research spans nuclear physics, biophysics, and medical imaging, with particular expertise in gamma spectroscopy, neutron detection, and radiation physics. His work bridges fundamental nuclear research with practical medical applications, especially in radiation detection systems for medical imaging. He has supervised numerous graduate students in areas ranging from nuclear waste management to detector development. Analysis of his recent publications reveals a strong focus on nuclear structure studies, particularly examining exotic nuclei, neutron-rich systems, and nuclear deformation phenomena. His work increasingly integrates advanced digital electronics (NUMEXO2) with traditional gamma detection systems (EXOGAM2), while maintaining parallel research in environmental radiation (radon detection) and radiation-absorbing materials (geopolymers). He has led and participated in numerous significant research projects including TÜBİTAK 1001 projects on portable medical imaging systems, EU-funded NEDA Neutron Detector Array projects, and research on the PARIS detector system. His current research includes developing portable integrated ultrasound and gamma imaging systems. Professor ERTÜRK has held substantial administrative roles including Department Chair (2020-), Head of Basic Medical Sciences Department (2021-), and previously served as Dean of Nigde University (2006-2009). His laboratory work focuses on nuclear detector development, particularly the NEDA (Neutron Detector Array) system and EXOGAM gamma spectrometer, often collaborating with international facilities like GANIL in France.

Semih Doğuمشاهده پروفایل

استادیار

• Electromagnetic Theory
• Microwave Imaging
• Inverse Scattering Problems
• +۳ مورد دیگر

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

Özgür B. Akanمشاهده پروفایل

استاد

• Nanoscale Communications
• Molecular Communications
• Next-generation Wireless Communications
• +۷ مورد دیگر

Özgür B. Akan is a Professor at the Department of Electrical and Electronics Engineering at Koç University, Istanbul, Turkey. He directs the Next-generation and Wireless Communications Laboratory (NWCL). Previously, he served as Associate Director and Director of the Graduate School of Sciences and Engineering at Koç University (2013–2016). His expertise spans nanoscale and molecular communications, IoT, 5G networks, satellite communications, and signal processing. Education: Ph.D., Electrical and Computer Engineering, Georgia Institute of Technology (2004) M.Sc., Electrical and Electronics Engineering, Middle East Technical University (2002) B.Sc., Electrical and Electronics Engineering, Bilkent University (1999) Research Interests: Prof. Akan focuses on advancing wireless communication technologies, including molecular communication for nanonetworks, IoT-enabled systems, and 5G/6G architectures. He explores distributed sensing, social networking applications, and satellite communication systems. His work integrates signal processing and information theory to solve challenges in modern communication networks. Awards & Honors: IEEE Fellow (2020) AXA Chair in Molecular Information and Communication Technologies (2020-2025) ERC Consolidator Grant (2014-2019) Over 15 prestigious awards from institutions like TUBITAK, IBM, and The Science Academy Leadership & Service: He has held editorial roles for journals such as IEEE Transactions on Communications and IET Communications. He co-chaired major conferences like IEEE INFOCOM 2017 and ACM MobiCom 2012. Currently, he serves as Vice President of the IEEE Communications Society – Turkey Section. Labs & Teams: Leads the Next-generation and Wireless Communications Laboratory (NWCL), focusing on cutting-edge research in wireless and molecular communication systems.

Tülin Yanıkمشاهده پروفایل

دانشیار

• Neuroscience
• Endocrinology
• Obesity Research
• +۴ مورد دیگر

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.

• Information Security and Reliability
• Cyber Security
• Artificial Intelligence
• +۱۳ مورد دیگر

Prof. Dr. Murat Dener is a full Professor in the Department of Information Security Engineering at the Institute of Science and Technology, Gazi University, where he also serves as the Head of Department since 2020. He has been continuously affiliated with Gazi University since 2005, progressing from Research Assistant to full Professor in 2023. He is also a Member of the Gazi University Rectorate Quality Commission and a Researcher at the High Performance Computational Neuroscience Laboratory at the Neuroscience and Neurotechnology Excellence Joint Application and Research Center. His educational background includes a BSc, MSc, and PhD, all from Gazi University, with his doctoral studies partially conducted at Georgia Tech University, USA. He completed English language training at Georgia State University and has participated in multiple EU-funded international projects across Greece, Portugal, Belgium, Germany, and Kazakhstan. His research focuses on cutting-edge areas such as cyber security, artificial intelligence, internet of things, blockchain, big data analytics, and computational neuroscience. His work bridges theoretical research with practical innovation, exemplified by the development of Turkey’s first domestically produced wireless sensor node, "WiSeN", through a company he founded in 2014. The analysis of his recent publications reveals a strong trend toward integrating AI and deep learning into cyber defense, secure IoT systems, blockchain applications, and computational neuroscience. His work emphasizes real-world applicability, security, scalability, and innovation in smart city and critical infrastructure technologies. Academic Achievement Award, Georgia State University (2011) Second Prize, Gazi University Business Idea Competition (2014) Turkish First Prize, Junior Chamber International 'Ten Successful Young People of Turkey' (2014) World Top 20 Finalist, Junior Chamber International (Japan, 2014) First Prize, Young Entrepreneurship Category, Liyakat Association (2015) First Prize, Smart Buildings and Environment, TET R&D Project Market (2018) Prof. Dener actively advises master’s and doctoral students and has led numerous national and international research projects, including EU-funded collaborations. His leadership extends to editorial and peer-review roles in multiple journals. He is deeply involved in academic quality improvement as a member of the Rectorate Quality Commission and leads advanced research in computational neuroscience using high-performance computing platforms. He founded a technology company in 2014 under the Technopreneurship Capital Support Program, producing the first Turkish-made wireless sensor node (WiSeN), which led to several national innovation awards. His lab work centers on the High Performance Computational Neuroscience Laboratory, where he contributes to neurotechnology research, combining AI and neuroscience for brain-computer interface applications.

Selda Güneyمشاهده پروفایل

استادیار

• Machine Learning
• Signal Processing
• Image Processing
• +۳ مورد دیگر

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.

Tayfun Akgülمشاهده پروفایل

استاد

• Image Processing
• Signal Processing
• Audio and Speech Processing
• +۵ مورد دیگر

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.

• Signal Processing
• Image Processing
• Machine Learning
• +۵ مورد دیگر

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.

• Microwave Imaging
• Dielectric Properties
• Antenna Engineering
• +۵ مورد دیگر

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.