جست‌وجوی استاد و پژوهشگر

Banu İYİSANمشاهده پروفایل

دانشیار

• Nanobiotechnology
• Nanobiomaterials
• Polymers
• +۸ مورد دیگر

Banu İyisan is an Associate Professor at Boğaziçi University's Institute of Biomedical Engineering, where she founded and leads the Biofunctional Nanomaterials Design Laboratory (BIND Lab). Her research group became a Max Planck Partner Group in 2023 through collaboration with the Max Planck Institute for Polymer Research. She holds a PhD in Chemistry from Technical University of Dresden (2016), an MSc in Chemical Engineering from Istanbul Technical University (2011), and a BSc in Chemical Engineering from the same institution (2009), including an Erasmus study period at Technical University of Munich. Her multidisciplinary research integrates nanobiotechnology, polymer science, and biomaterials engineering to develop advanced nanocarriers for biomedical applications. Primary focus areas include: Design of stimuli-responsive nanocapsules for targeted drug delivery Development of multimodal nanoparticles for cancer theranostics Protein-nanoparticle interactions and their impact on therapeutic efficacy Light-activated nanotherapeutic systems Hybrid polymer-lipid nanostructures for enhanced drug encapsulation Her publication portfolio demonstrates consistent focus on advanced nanocarrier systems for biomedical applications, with recent work emphasizing multimodal functionality, smart drug release mechanisms, and clinical translation of nanotechnologies. Trends show increasing complexity in nanocarrier design and expanded applications in oncology and diagnostic imaging. Awards and recognition include: Max Planck Partner Group leadership (2023) She leads several major research initiatives as Principal Investigator: Light-Driven Multimodal Nanocarriers (Max Planck Partnership, 2023-2028) Smart Biopolymer-Coated Gold Nanorods (YÖK ADEP, 2025-2027) Smart Nanocapsules for Breast Cancer Therapy (TUBITAK 2247, 2022-2025) Multimodal Polymersomes for Image-Guided Delivery (TUBITAK-DAAD, 2025-2027) The BIND Lab conducts experimental research in functional nanomaterials, focusing on synthesis, characterization, and biomedical validation of nanocarriers. Current work involves collaborations on magnetic particle imaging systems and photothermal therapy platforms.

Fatma Gulen Iskenderمشاهده پروفایل

استاد

• Biotechnology
• Water and Wastewater Treatment
• Environmental Engineering
• +۴ مورد دیگر

Prof. Dr. Fatma Gulen Iskender is a Professor at the Department of Environmental Engineering of Istanbul Technical University (ITU) , within the Faculty of Civil Engineering . She has held this position since 2007, following promotions from Associate Professor (2001–2007) and Research Assistant (1986–2001). Her work focuses on Biotechnology , Water and Wastewater Treatment , and Sustainability . She has extensive experience in Life Cycle Assessment (LCA) , Advanced Oxidation Processes , and environmental toxicity reduction . Her research includes evaluating water treatment plants' environmental impacts, textile industry wastewater management, and occupational health and safety in manufacturing. She contributes to UN Sustainable Development Goals related to clean water (SDG 6) and responsible consumption (SDG 12). Her research outputs span 37+ publications , with notable works on water treatment plant LCA, ozonation of textile auxiliaries, and toxicity assessment of pharmaceutical effluents. She is affiliated with organizations like TÜBİTAK-ARBIS, Istanbul University Community Medicine, and the Istanbul Women Entrepreneurs Council. Her work emphasizes practical solutions for industrial pollution and sustainable infrastructure.

• 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.

Mine Çağlarمشاهده پروفایل

استاد

• Probability
• Stochastic Processes

Mine Çağlar is a Professor in the Department of Mathematics at Koç University, specializing in probability theory and stochastic processes with applications in mathematical finance and risk analysis. Her work addresses fundamental problems in Markov additive processes, Lévy processes, and Brownian motion, contributing to both theoretical advances and practical financial modeling. Her academic credentials include: PhD in Statistics and Operations Research from Princeton University (1997) Master’s in Industrial Engineering from Bilkent University (1991) B.A. in Industrial Engineering from Middle East Technical University (1989) Professor Çağlar’s research centers on extreme event analysis in stochastic processes, particularly maximum drawdown, maximum loss, and optimal stopping problems. She investigates path properties of spectrally negative Lévy processes and develops mathematical frameworks for degenerate market models. Her work bridges abstract probability theory with real-world financial applications, including risk management and hedging strategies. Recent publications demonstrate sustained innovation in stochastic analysis, with a focus on long-time behavior of complex processes and boundary-crossing phenomena. Analysis of her 15 most recent publications (2018–2024) reveals a cohesive research trajectory emphasizing Markov additive processes (40% of articles), Lévy process extremes (30%), and financial applications (20%). Key methodological trends include path decomposition techniques, Monge-Ampère equations on Wiener space, and stochastic flow modeling. Her work increasingly integrates fluid dynamics concepts like Çinlar models for turbulence simulation, reflecting interdisciplinary expansion into applied mathematics. Her scholarly recognition includes: Hayri Körezlioğlu Research Award (2013) Parlar Foundation Research Incentive Award (2005)

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.

• Control and System Engineering
• Robotics and Mechatronics Systems
• Mechanical Vibrations
• +۳ مورد دیگر

Assoc. Prof. İBRAHİM SİNA KUSEYRİ is affiliated with Marmara University's Faculty of Engineering, Department of Machine Theory, System Dynamics and Control. His academic journey includes a Doctorate from Boğaziçi University (2011) and undergraduate studies at the same institution (1984). He also holds a postgraduate degree from Gazi University (1990). Research focuses on control systems engineering with emphasis on robotics, mechatronics, and mechanical vibrations. Key projects include haptic minimal invasive surgery robots (TUBITAK, 2016-2018) and wireless machine condition monitoring (KOSGEB, 2014-2015). His work spans ship stabilization systems, rotor dynamics, and industrial vibration control solutions. Publications emphasize advanced control methodologies applied to mechanical systems, including H-infinity control strategies, adaptive vibration suppression, and MIMO control architectures. He has supervised 3 master's theses on topics ranging from active suspension systems to crane anti-swing control. Professional experience includes serving as Head of Department at Marmara University's Institute for Graduate Studies (2022-present) and managing his company Mekatek Bakım Teknolojisi Ltd. Şti. since 1991.

İBRAHİM TEKİNمشاهده پروفایل

دانشیار

• Inverse Problems
• Mathematical Modelling
• Partial Differential Equations
• +۳ مورد دیگر

İBRAHİM TEKİN is an Associate Professor at Alanya Alaaddin Keykubat University's RAFET KAYIŞ FACULTY OF ENGINEERING, Department of Fundamental Engineering Sciences. Previously, he held positions at Bursa Technical University and Gebze Technical University. He earned his B.Sc., M.Sc., and Ph.D. in Mathematics from Gebze Technical University between 2004 and 2016. His research focuses on inverse problems, mathematical modeling, partial differential equations, and inverse scattering. Key areas include time-dependent coefficient identification in fractional PDEs, nonlinear hyperbolic systems, and scattering theory applications in wave dynamics. He has published extensively in journals like Journal of Computational and Applied Mathematics and Mathematical Methods in the Applied Sciences . Administratively, he served as Vice President of the Department at Bursa Technical University (2019–2017) and Head of the Department of Mathematics (2020). He teaches applied mathematics courses and has supervised numerous research projects in inverse problem methodologies. His work bridges theoretical mathematics with engineering applications, addressing challenges in diffusion processes, wave equations, and fractional calculus. Current research trends emphasize high-order PDEs and numerical methods for inverse problem solutions.

Onur Alptürkمشاهده پروفایل

دانشیار

• Polymer Chemistry
• Drug Delivery Systems
• Nanocarrier Design
• +۴ مورد دیگر

Onur Alptürk serves as an Associate Professor ( Docent ) in the Department of Chemistry at Istanbul Technical University, where he leads a research group focused on advanced polymer-based drug delivery systems. His work bridges synthetic polymer chemistry with biomedical applications, particularly in cancer therapeutics and antimicrobial technologies. His primary research interests include poly(2-oxazoline) chemistry , peptide-conjugated nanocarriers , and core-shell hybrid nanoparticles . Current investigations emphasize developing folate receptor-targeted imaging agents, PDL1-inhibiting peptidomimetics for immunotherapy, and antimicrobial peptide hydrogels for wound dressings. His methodology combines controlled polymerization techniques with bioconjugation strategies to create stimuli-responsive delivery systems. Alptürk has secured 9 competitive research grants as Principal Investigator, including projects on PET imaging agents (2020-2021), antimicrobial wound dressings (2024-2025), and cancer-targeted nanocarriers (2019-2022). His supervised works portfolio spans 19 academic contributions, though specific student names aren't publicly listed. His laboratory specializes in polymer characterization techniques including NMR, GPC, DLS, and TEM for nanoparticle analysis.

• 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.

Abdullah Hilmi Lavمشاهده پروفایل

استاد

• Transportation Planning
• Transportation and Traffic
• Transportation Structures Engineering
• +۷ مورد دیگر

Prof. Dr. Abdullah Hilmi Lav is a faculty member at Istanbul Technical University in the Department of Civil Engineering . His research focuses on Transportation Planning , Bituminous Materials , and Transportation Structures Engineering . He can be contacted via email at lav@itu.edu.tr . PhD from University of Technology, Sydney (1993) Research interests include pavement engineering, sustainable highway materials, and transportation safety measures. His recent work has explored CO2 emission mitigation in highway systems and recycled waste applications in asphalt layers. Key article trends show expertise in: Flexible pavement optimization Environmental impact reduction Speed hump design and safety Alternative binder materials (sulphur, fly ash) Structural stabilization techniques With an h-index of 14 and over 595 Scopus citations, his work spans experimental testing, simulation modeling, and sustainability-focused infrastructure solutions.

Güllü Kızıltaşمشاهده پروفایل

دانشیار

• Ceramic-Polymer Composites
• Meta Materials
• Bone Tissue Engineering
• +۴ مورد دیگر

Associate Professor Güllü Kızıltaş is affiliated with Sabancı University's Mechatronics Program within the Faculty of Engineering and Natural Sciences (FENS). His expertise spans computational design, advanced material fabrication, and multi-disciplinary optimization. He holds a PhD in Mechanical Engineering and has conducted postdoctoral research at the University of Michigan. His work focuses on ceramic-polymer composites for biomedical and engineering applications, topology optimization, and novel fabrication techniques. Research Interests: Computational modeling of composite materials Meta-material design and applications Bone tissue engineering via advanced composites Multi-Disciplinary Design Optimization (MDO) for electromechanical systems Awards & Recognition: Young Scientist Award (Turkish Academy of Sciences, 2008) CAREER Award (TUBITAK, 2007-2010) Marie Curie Reintegration Grant (EU, 2006) His research is supported by collaborations with SUNUM's infrastructure, including NANOSKOP and advanced fabrication labs. He contributes to international organizations like ASME and IEEE.

• Environmental Chemistry
• Water Pollution Control
• Water Resources Management
• +۴ مورد دیگر

Prof. Dr. Nuray Işık Kabdaşlı is a Professor at the Department of Environmental Engineering, Faculty of Civil Engineering, Istanbul Technical University (ITU). She holds a PhD in Environmental Engineering from ITU (1990-1995) and has been a faculty member since 1988. Her research focuses on Environmental Chemistry, Water Pollution Control, and Water Resources Management. She has held administrative roles such as Vice President of the Department (1998-1999) and was a Visiting Professor at Cranfield University (2003). Her work emphasizes advanced oxidation processes, electrochemical water treatment, and nutrient recovery from wastewater. Notable awards include the TUBITAK Science Incentive Award (2001). She is a member of organizations like the Turkish National Committee for Water Pollution Research and Control and the International Association on Water Quality. Her recent publications address AI-driven electrochemical remediation, sustainable wastewater strategies, and viral wastewater surveillance. Research spans electrocoagulation, struvite precipitation, and AOPs for organic pollutant degradation. Her contributions bridge cutting-edge technologies with environmental sustainability.

• Irrigation
• Water Conservation
• Agricultural Engineering
• +۶ مورد دیگر

GÜLÇİN ECE ASLAN is an Assistant Professor at Akdeniz University's Faculty of Agriculture in the Department of Agricultural Structures and Irrigation. She has been affiliated with Akdeniz University since 2009, initially as a Research Assistant (2009-2018) before assuming her current faculty position. Her academic journey includes a PhD (2009-2018) and MSc (2009-2012) from Akdeniz University in Agricultural Structures and Irrigation, and a BSc in Soil Science from Canakkale Onsekiz Mart University (2004-2008). Her research focuses on sustainable water management in agriculture, with expertise in: Salinity stress monitoring using spectroradiometric techniques Irrigation optimization for Mediterranean crops Water conservation strategies in arid regions Remote sensing applications in precision agriculture Groundwater quality and contamination analysis She leads research on crop responses to abiotic stresses, particularly in tomatoes, stevia, and cucumbers, employing hyperspectral and VNIR spectroscopy for non-destructive plant health assessment. Her publications demonstrate a consistent focus on water-stress physiology, with 80% of articles analyzing salinity/drought impacts on crops. Recent work shows a shift toward sustainability metrics and economic assessments in greenhouse agriculture. She has supervised 6 graduate theses and secured international funding including Horizon 2020 projects like SafeH20 Farm ($2023-2026) and IGUESSMED ($2020-2024) focused on IoT-based irrigation and pollution reduction.

• Artificial Intelligence
• Neural Networks
• Machine Learning
• +۱۲ مورد دیگر

Burak Berk Üstündağ is a Professor in the Department of Computer Engineering at the Faculty of Computer and Informatics, Istanbul Technical University (ITU). He has been a key academic figure at ITU since the 1990s, progressing through the ranks from Research Assistant to full Professor, a position he attained in 2019. He has also held significant administrative roles, including Director of the Application and Research Center and membership in the ITU Informatics Institute Management Board. PhD, Control and Computer Engineering, Istanbul Technical University (2000) MSc, Control and Computer Engineering, Istanbul Technical University (1994) BSc, Electrical Engineering, Istanbul Technical University (1991) His research is deeply rooted in Artificial Intelligence , with a focus on Neural Networks , Wavelet-based models , and machine learning applications in environmental, agricultural, and maritime domains. He has developed frameworks like PECNET for multivariate time series forecasting and has pioneered work in cognitive communication systems, particularly for underwater and agricultural monitoring. His work bridges theoretical AI models with real-world applications in precision agriculture, water quality monitoring, and ionospheric forecasting. The most recent articles show a strong trend in applying deep learning (LSTM, DNNs) and hybrid models (Wavelet-NN) to complex, real-time systems. His research spans environmental data science , smart agriculture , underwater acoustics , and cognitive risk management . He emphasizes performance, real-time operation, and intelligence quantification in AI systems. His scientific awards include: Outstanding Young Scientist of the Year (2004) Junior Chamber International - Year's Professional Award (2003) Yılın Meslek Ödülü (2002) Service Award from Air Force Academy (2000) Gelişimine Katkı Ödülü from ITU (1996) Prof. Üstündağ has actively supervised research and led multiple projects as Principal Investigator, including national and institutional grants in AI-driven software systems, social media robots, real-time cognitive risk management, and elderly support devices. He has advised students in AI, neural networks, and intelligent systems, though specific names are not listed. His lab activities are centered around the Software Development Laboratory and cognitive systems research under various funded projects.

• Artificial Intelligence
• Robotics
• Cognitive Robotics
• +۱۲ مورد دیگر

Sanem Sarıel Uzer is a Professor at Istanbul Technical University (ITU) in the Department of Artificial Intelligence and Data Engineering, part of the College of Computer and Informatics. She has been a faculty member at ITU since 2007, progressing from Instructor to Associate Professor in 2016 and achieving full Professor status in 2024. She is the founder and coordinator of the ITU Artificial Intelligence and Robotics Laboratory and leads multiple research initiatives in cognitive robotics, planning, and machine learning. Ph.D. in Computer Engineering, Istanbul Technical University (2002–2007) M.Sc. in Computer Engineering, Istanbul Technical University (1999–2002) B.Sc. in Control and Computer Engineering, Istanbul Technical University (1995–1999) Her research focuses on artificial intelligence, robotics, and machine learning, particularly in enabling cognitive systems and robots to reason, plan, and learn in complex environments. She investigates lifelong learning methods, multi-robot team strategies, and safe robot manipulation using deep reinforcement learning. Her recent work emphasizes failure anticipation, multimodal detection, and knowledge distillation to improve robot safety and autonomy. The trend in her recent publications (2023–2024) shows a strong focus on enhancing the safety and reliability of robotic manipulation through AI techniques such as deep reinforcement learning, adversarial learning, and multimodal perception. Her work spans both theoretical algorithm development and practical applications in service and industrial robotics. Scientific Awards: Siemens Turkey Excellence Award (2004) TÜBİTAK 13th Technology Award – Best Product (2018) TÜBİTAK 13th Technology Award – University-Industry Collaboration Mention (2018) Best Visual Presentation Award, IEEE SIU (2016) ITU Project Performance Award (2020) TÜBİTAK Ufuk 2020 (2019) Necdet Eraslan Project Competition Mention (2007) She has supervised numerous students in RoboCup competitions and led multiple funded research projects, including two TÜBİTAK projects on lifelong learning for cognitive robots and the development of the open-source Violet system for robot vision. She has also served as a consultant on AI projects with companies like Triodor, Artı Teknoloji, and Analitik Bilişim. Her grants include funding from TÜBİTAK, ITU Scientific Research Projects, and the Ministry of Science, Industry and Technology. She leads the ITU Artificial Intelligence and Robotics Laboratory and is actively involved in national and international collaborations, including with Georgia Tech, University of Pennsylvania, and University of South Florida. She also contributes to professional communities such as IEEE, AAAI, RoboCup, and EUCog.