جست‌وجوی استاد و پژوهشگر

Serkan Eryilmazمشاهده پروفایل

استاد

• Reliability Engineering
• Applied Probability
• Stochastic Modeling
• +۳ مورد دیگر

Prof. Serkan Eryilmaz is the current President of Atilim University (since 2023) and previously served as Vice President for Research (2017–2023). He holds a Ph.D. in Statistics from Ankara University (2002) and has held academic positions at Izmir University of Economics and Atilim University. His research focuses on reliability engineering, applied probability, stochastic modeling, and renewable energy systems. He is an Editorial Board member of Reliability Engineering and System Safety and an Area Editor of IISE Transactions . Education: Ph.D. in Statistics (Ankara University, 2002), M.Sc. in Statistics (Ankara University, 2000), B.Sc. in Statistics (Ankara University, 1999). Honors include TUBITAK Science Incentive Award (2017) and inclusion in 'The Most Influential Scientists in the World' (2021, 2020). Research Interests: Reliability analysis of systems, stochastic processes, probabilistic models in renewable energy, actuarial risk analysis, and applied probability. Recent work includes publications on δ-shock models, preventive replacement policies, and wind energy systems. Awards: TUBITAK grants (2017, 2006), top-ranked graduate (Ankara University, 1999), and international recognition for impactful research in reliability engineering. Advising & Grants: Supervised 7 PhD and 8 Master’s theses. Active in editorial roles and professional service, including co-chair of the System Reliability Technical Committee at the European Safety and Reliability Association. Labs/Teams: Leads research groups in reliability engineering and stochastic modeling at Atilim University, collaborating on projects involving renewable energy systems and probabilistic risk analysis.

Orhan Deniz GENÇAĞAمشاهده پروفایل

استادیار

• Signal and Image Processing
• Machine Learning
• Knowledge Discovery and Data Mining
• +۹ مورد دیگر

Orhan Deniz GENÇAĞA is an Assistant Professor in the Department of Electrical and Electronic Engineering at Antalya Bilim University since 2017. Prior to this, he held postdoctoral and research associate roles at SUNY Albany (2007), National Oceanic and Atmospheric Administration (NOAA) Center of CUNY (2009–2011), University of Texas Department of Space Sciences, and Carnegie Mellon University. His academic career spans interdisciplinary projects in signal processing, statistics, and systems modeling. Education: Ph.D. in Electrical and Electronic Engineering from Boğaziçi University M.S. in Electrical and Electronic Engineering from Boğaziçi University B.S. in Electrical and Electronic Engineering from Yıldız Teknik University Research Interests: GENÇAĞA’s work focuses on statistical signal processing, Bayesian inference, uncertainty modeling, causality, chaos theory, and remote sensing. His expertise extends to heavy-tailed processes, acoustic echo cancellation, source separation, and system identification, with applications in machine learning, information theory, and speech processing. Professional Roles and Affiliations: He chaired the IEEE Pittsburgh Signal Processing and Control Systems Societies, served as general chair for the First ECEA, and organized MaxEnt 2007. Additionally, he is a member of the editorial board of Entropy and an inventor in two US patents. Scientific Awards: NATO Research Fellowship

Orhan Akyılmazمشاهده پروفایل

استاد

• Geodesy
• Satellite Gravity Missions
• Water Resource Monitoring
• +۵ مورد دیگر

Orhan Akyılmaz serves as a Professor in the Department of Geomatics Engineering at Istanbul Technical University, Turkey, with continuous research activity since 2004. His work bridges geodetic science with environmental monitoring through satellite gravity missions and advanced computational methods. His research focuses on satellite gravity field modeling (GRACE/GRACE-FO missions), machine learning applications for hydrological monitoring, and geodetic algorithm development . Key contributions include deep learning-aided temporal downscaling of water storage data, high-resolution gravity field products, and optimized topographic correction algorithms using digital elevation models. His fingerprint reveals strong expertise in Fuzzy Inference Systems (100%), Earth Rotation Parameters (72%), and Quaternion-based transformations (66%). Recent publications (2022-2024) demonstrate a pronounced trend toward integrating deep learning with satellite geodesy to address water resource challenges, particularly in groundwater monitoring and gap-filling between satellite missions. His work consistently targets practical environmental applications while advancing computational geodesy. Scientific recognition includes: TUJK Bilim Ödülü (Science Award) from the Turkish National Union of Chambers of Survey Engineers (2011) He secured TÜBİTAK funding (2020-2023) for the project "Grace ve Çoklu-Görev Uydu Uzaktan Algılama Verileri ile Yüksek Çözünürlüklü Yeraltı Su Bütçesi İzleme Sistemi" (High-Resolution Underground Water Budget Monitoring System). His supervised work encompasses 8 students, though specific names aren't provided in source materials.

AYSUN BARANSEL ISIRمشاهده پروفایل

استاد

• Forensic Medicine
• Child Abuse and Neglect
• Age Estimation in Forensic Contexts
• +۴ مورد دیگر

Professor AYSUN BARANSEL ISIR is a distinguished academic at Gaziantep University's Faculty of Medicine, Department of Internal Medicine, with a specialization in Forensic Medicine. She has held the position of Professor since 2016 and previously served as Associate Professor at both Gaziantep University and Ankara University. Her extensive academic career spans over two decades, beginning as a Research Assistant in 1998 at Gaziantep University. She also holds an appointment at Gazi University's Acupuncturia and Complementary Medicine Application and Research Center since 2021, reflecting her interdisciplinary expertise. Her educational background includes a Medical License from Erciyes University Faculty of Medicine (1989-1996) followed by Medical Specialization in Forensic Medicine at Gaziantep University (1998-2000). Her academic progression demonstrates consistent advancement from Research Assistant (1998-2003) to Doctor Lecturer (2004-2010), Associate Professor (2010-2016), and ultimately Professor (2016-present). Professor Baransel Isir's research spans multiple interdisciplinary domains at the intersection of forensic medicine, genetics, and child protection. Her work focuses on forensic age estimation methodologies, child abuse and neglect documentation, genetic markers related to substance abuse and criminal behavior, and medical malpractice in traditional and complementary medicine. She has made significant contributions to understanding the genetic basis of cannabis addiction through studies on CNR1 and DRD2 gene polymorphisms. Her research on child abuse has informed multidisciplinary team approaches for child protection in Turkey. Analysis of her recent publications reveals a strong focus on forensic genetics applications, particularly Y-chromosome STR analysis for human identification, and growing interest in the forensic implications of complementary medicine practices. Her work bridges traditional forensic medicine with emerging fields like genetic epidemiology and alternative medicine safety. Gökhan Eriş scientific incentive award (2012) from Adli Tıp Vakfı Best oral presentation award (2006) from Acil Tıp Uzmanları Derneği Professor Baransel Isir has supervised numerous graduate students through their thesis work, with a particular emphasis on forensic applications in child protection, age estimation methodologies, and medical malpractice cases. Her research projects have received funding from higher education institutions, including studies on new psychoactive substances and forensic toxicology. She has served in significant administrative roles including as Chair of the Department of Forensic Medicine (2017-2019) and President of the Domestic Clinical Research Ethics Committee (2018-present). She is actively involved in multiple professional organizations including serving as Vice President of ÇİİÖDER (Association for the Prevention of Child Abuse and Neglect), and as a member of the Association of Forensic Medicine Specialists. Her work extends to public education through media appearances discussing child abuse identification and prevention.

• Ionospheric Physics
• Radio Wave Propagation
• Space Weather
• +۲ مورد دیگر

Dr. Esat Güzel serves as an Associate Professor in the Department of Physics at Fırat University's Faculty of Science, where he has maintained continuous employment since September 3, 1993. His academic career spans over three decades with sustained research activity through 2025. His research focuses on Ionospheric Physics and Radio Wave Propagation , particularly examining electromagnetic wave behavior in mid-latitude ionosphere, HF radio wave characteristics, lightning-ionosphere interactions, and space weather impacts. Key investigation areas include electron temperature dynamics, Schumann resonance correlations, solar flare effects on VLF signals, and ionospheric modeling validation using IRI models. His work bridges theoretical electromagnetics with atmospheric physics through extensive analysis of wave propagation phenomena. While no formal awards are documented in the source material, his scholarly output demonstrates consistent contributions to ionospheric research through peer-reviewed publications in journals like Journal of Atmospheric and Solar-Terrestrial Physics and Il Nuovo Cimento C. His research methodology combines experimental measurements with theoretical modeling, particularly evident in studies of solar eclipse effects on radio propagation and lightning-induced electron precipitation events. Dr. Güzel's collaborative work appears across Turkish maritime education policy analysis and international space physics research. His recent 2025 publication indicates ongoing engagement with interdisciplinary applications of geospatial analysis in maritime safety compliance. Laboratory work likely involves VLF monitoring systems and ionospheric sounding equipment based on his published methodologies.

• Highways
• Road Materials
• Materials in Civil Engineering
• +۱۰ مورد دیگر

Kürşat Yıldız is an Associate Professor in the Department of Civil Engineering at the Faculty of Technology, Gazi University , where he has been serving since 2011. He also holds an Assistant Professor position at Gazi University's Institute of Science. His academic career is deeply rooted at Gazi University, where he completed all his degrees. His educational background includes: Doctorate (Dr.) in Construction Education, Gazi University, Institute of Science (2004–2009) Master's (MSc) in Construction Education, Gazi University, Institute of Science (2000–2003) Bachelor's in Construction Education, Faculty of Technical Education, Gazi University (1996–2000) Dr. Yıldız's research focuses on highway materials, asphalt and concrete technology, self-healing pavements, railway logistics, supply chain management, and sustainable construction . He integrates advanced methods such as machine learning, image processing, and multi-criteria decision-making (MCDM) into civil engineering applications. His recent publications highlight innovations in recycled asphalt prediction, microwave healing with fly ash, and logistics modeling . His scholarly contributions include over 80 publications, with a significant number in SCI-indexed journals. The trends in his recent articles show a strong emphasis on sustainable materials, smart infrastructure, and data-driven decision models in transportation and construction. His scientific recognition includes: REACHING AND REACHING Türkiye 2053 INTER-UNIVERSITY R&D IDEA COMPETITION (Ministry of Transport and Infrastructure, 2024) Publication Incentive (UBYT, 2022) International Scientific Publication Incentive Program (TUBITAK, 2021) He has supervised 11 theses and served as a consultant on various doctoral and master’s studies in areas such as railway logistics, asphalt performance, and traffic safety. He has led funded research projects, including those on self-healing asphalt and urban traffic impact assessments. Additionally, he has contributed to academic service through peer reviewing for journals such as Sustainability , Gazi University Journal of Science , and TÜBAV Science Journal , and has participated in scientific project evaluations for institutions like Bursa Technical University and Gazi University Technopark. Dr. Yıldız is actively involved in research groups and collaborations focusing on transportation systems, sustainable materials, and smart logistics , contributing to both national and international academic and industrial initiatives.

Zeynep Yasemin Kahyaمشاهده پروفایل

استاد

• Biomedical Signal Processing
• Lung Acoustics
• Respiratory Sound Analysis
• +۴ مورد دیگر

Professor Zeynep Yasemin Kahya is a distinguished academic in the Department of Electrical and Electronics Engineering at Boğaziçi University's Faculty of Engineering. With a career spanning over three decades at Boğaziçi University, she has progressed from Assistant Professor to her current position as Professor. She has held significant administrative roles including Department Chair (2012-2021) and Deputy General Secretary (2008-2012). Dr. Kahya's research focuses on biomedical signal processing, particularly lung acoustics and respiratory sound analysis. PhD in Biomedical Electronics, Boğaziçi University (1981-87) MS in Electrical Engineering, Yale University (1980-81) BS in Electrical Engineering & Physics, Boğaziçi University (1976-80) Professor Kahya's research interests center on biomedical signal processing with specific emphasis on lung acoustics, respiratory sound analysis, and digital stethoscope design. Her work combines advanced signal processing techniques like wavelet transforms with clinical applications for pulmonary disease diagnosis. She has pioneered methods for pulmonary sound classification, crackle and wheeze detection, and respiratory sound parameterization. Her laboratory, the Lung Acoustics Laboratory (LAL), develops "smart stethoscope" diagnostic systems based on respiratory sounds. Her publications demonstrate a consistent research trajectory in respiratory sound analysis, with recent work focusing on machine learning approaches for pulmonary disease diagnosis. Professor Kahya has successfully translated her research into practical applications, including patented technologies for auscultation data acquisition systems and founding Electrosalus Biyomedikal, a company commercializing smart stethoscope technology. TÜBİTAK high school, undergraduate, and doctoral scholarships (1973-84) Fellowships from MIT, Yale, Stanford, and Caltech for undergraduate studies (1976) Fellowships from Yale and Princeton for doctoral studies (1980) Multiple research grants from Boğaziçi University Research Fund TÜBİTAK TEYDEP grants for smart stethoscope development Professor Kahya has supervised numerous PhD and Master's students, many of whom have worked on projects related to respiratory sound analysis and biomedical instrumentation. She has led multiple research projects funded by Boğaziçi University and external agencies like TÜBİTAK. Her laboratory, the Lung Acoustics Laboratory (LAL), brings together students from various disciplines to work on hardware and software projects related to "smart stethoscope" diagnostic systems.

Serkan Saritasمشاهده پروفایل

استادیار

• Information Security
• Networked Control
• Communication Theory
• +۳ مورد دیگر

Dr. Serkan Saritas is an Assistant Professor in the Department of Electrical and Electronics Engineering at Middle East Technical University (METU). He holds a Ph.D. from Bilkent University (2018) and completed postdoctoral research at KTH Royal Institute of Technology in Sweden (2018–2021). His research focuses on Networked Control Systems, Game Theory applications in security, Communication Theory, and Information Theory. He has authored numerous high-impact publications in top-tier venues such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory, and Automatica. Education: Ph.D. in Electrical and Electronics Engineering, Bilkent University (2013–2018) M.Sc. in Computer Engineering, Bilkent University (2010–2013) B.Sc. in Electrical and Electronics Engineering, Bilkent University (2005–2010) Research Interests: Game-Theoretic Security (e.g., adversarial attacks, authentication strategies) Networked Control Systems (resilience, fault tolerance) Information Theory (signaling games, estimation theory) Communication Theory (channel modeling, detection algorithms) Awards: Recipient of the IEEE Turkey PhD Thesis Award (2020), TÜBİTAK scholarships for graduate studies, and top national exam rankings (1st in ALES 2014, 2nd in ÖSS 2005). Teaching: Recently taught courses like EE348 (Logic Design) and EE494 (Engineering Design) at METU.

Mehmet Somelمشاهده پروفایل

استاد

• Evolutionary Genetics
• Archaeogenomics
• Molecular Biology of Aging
• +۳ مورد دیگر

Mehmet Somel is a Professor at the Department of Biological Sciences, Middle East Technical University (METU), Ankara, Turkey. He leads the METU/Hacettepe Archaeogenomics Laboratory and focuses on evolutionary genetics, archaeogenomics, and the molecular mechanisms of aging. His research integrates genomic and transcriptomic data to address questions about human evolution, domestication processes, and population dynamics. Education: Ph.D. in Evolutionary Anthropology, University of Leipzig / Max-Planck Institute (2008) M.Sc. in Biotechnology, Middle East Technical University (2003) B.Sc. in Biological Sciences, Middle East Technical University (2001) Research Interests: Dr. Somel’s work spans evolutionary genetics, archaeogenomics, and aging. Key areas include ancient DNA analysis of humans and domestic animals, population genomics of modern populations, and the molecular basis of brain aging. His laboratory contributes to understanding human demographic history and the genetic underpinnings of complex traits. Recent Research Trends: Recent studies focus on phylogenetic analysis of Mediterranean mouflons, pre-processing techniques for ancient genomes, and the population history of domestic sheep. His work bridges archaeology, genetics, and computational biology to reconstruct past human and animal populations. Labs/Teams: He directs the Ancient DNA Laboratory and collaborates with international teams on projects like the NEOGENE Project (ERC-funded) examining Neolithic demographic transitions in Anatolia.

• Data Science & Analytics
• Data Mining
• Computational Statistics
• +۵ مورد دیگر

Inci Batmaz is a Professor of Statistics at the Middle East Technical University (METU) in Ankara, Turkey. She holds a dual Ph.D. in Computer Engineering (Ege University, Turkey) and a Dissertation from Carnegie-Mellon University (USA) as a Fulbright Scholar. Her academic career includes roles such as Chair of the Department of Statistics (2012–2015), Graduate Program Coordinator, and membership in various institutional boards. She has been affiliated with the Financial Mathematics Program at METU's Institute of Applied Mathematics since 2003. Her research focuses on Data Science & Analytics, Data Mining, Computational Statistics, Machine Learning, and Environmental Statistics. She has published extensively in top journals and edited volumes, including Recent Advances in Statistics (2007) and contributed to climate change studies, financial modeling, and simulation metamodeling. Dr. Batmaz has been recognized with multiple awards, including METU Publication Awards (2007–2016), TÜBİTAK Fellowships, and the Netherlands National Research Foundation Grant (2002). Her work bridges statistical methodology with real-world applications in climate science, finance, and industrial quality improvement.

FESİH KESKİNمشاهده پروفایل

استادیار

• Signal Processing
• Antenna Array Design
• Direction of Arrival Estimation
• +۵ مورد دیگر

Asst. Prof. Dr. FESİH KESKİN is affiliated with the Faculty of Engineering at Iğdır University , where he holds a position in the Department of Electrical and Electronics Engineering . His research focuses on signal processing, antenna array design, and robotic systems integration with telecommunications. He earned his PhD from Eskişehir Technical University (2014-2021), MSc from Anadolu University (2011-2014), and BSc from Fırat University (2005-2009). Key research areas include direction of arrival (DOA) estimation , 3D antenna array configurations , and machine learning applications in agriculture and energy systems. His work on volumetric array designs addresses challenges in azimuth/elevation angle estimation under array imperfections. Recent studies also explore Industry 4.0 automation and solar energy storage solutions. Notable contributions include: Development of UAV swarm-based 3D antenna arrays for isotropic DOA estimation XGBoost-driven frameworks for driving cycle generation Integration of deep learning architectures for fruit detection systems No awards or patents are listed in his profile. He maintains active collaboration networks in telecommunications and robotics domains.

Guvenc Arslanمشاهده پروفایل

استاد

• Statistics
• Machine Learning
• Data Mining
• +۴ مورد دیگر

Guvenc Arslan serves as a Professor in the Department of Statistics within the Faculty of Engineering and Natural Sciences, focusing on advanced statistical methodologies and machine learning applications. His work bridges theoretical statistics with real-world problem solving across diverse domains. His core research interests include: Machine Learning and Classification Algorithms Statistical Clustering Methods Applied Statistics in Healthcare and Earth Sciences Data Mining and Pattern Recognition Fuzzy Logic and Bayesian Methods Parameter Estimation and Distribution Theory Analysis of his 15 most recent publications (2024-2015) reveals consistent innovation in classification techniques, particularly for medical diagnostics (e.g., COVID-19, cryotherapy) and environmental monitoring (e.g., earthquake engineering, satellite data analysis). His methodology frequently integrates support vector machines, k-means clustering, and fuzzy Bayesian approaches to address complex data challenges. Dr. Arslan's scholarly contributions extend to software development, including a JAVA implementation for multivariate statistical testing, demonstrating his commitment to practical tool creation alongside theoretical advancement. His research maintains strong connections to both medical applications and geospatial engineering problems.

• Mathematics Education
• Statistics
• Applied Statistics
• +۴ مورد دیگر

Associate Professor RECEP BİNDAK is a faculty member at Gaziantep University's Faculty of Education, Department of Mathematics and Science Education. With a Doctorate in Mathematics from Dicle University (2004), he has built an extensive academic career spanning over two decades, including positions at Mardin Artuklu University and Gaziantep University's Technical Sciences Vocational School. His educational background includes a Doctorate (2000-2004) from Dicle University's Institute of Sciences in Mathematics, a Master's degree (1994-1997) from Yuzuncuyil University's Institute of Sciences in Mathematics, and a Bachelor's degree (1987-1991) in Mathematics Teaching from Dicle University's Faculty of Education. BINDAK's research focuses on mathematics education, statistics, and educational psychology, with particular emphasis on mathematical self-efficacy, problem-solving attitudes, measurement techniques, and quantitative research methods. His work bridges theoretical statistical concepts with practical educational applications, making significant contributions to both fields. He has published extensively on topics ranging from mathematical justification skills in middle school students to psychometric properties of Likert scales and teacher burnout predictors. His recent publications (2018-2024) reveal a strong trend toward interdisciplinary research combining mathematics education with psychological factors affecting student performance. The majority of his work centers on middle school mathematics education, examining variables like self-efficacy, problem-solving attitudes, and mathematical justification skills. He also maintains active research in statistical methodology, particularly in bootstrap methods and nonparametric techniques, demonstrating his dual expertise in both educational theory and quantitative analysis. TUBITAK Publication Incentive Award (2011) TUBITAK Publication Incentive Award (2012) Professor BINDAK has supervised 22 graduate theses (1 doctoral and 21 master's), reflecting his commitment to mentoring the next generation of researchers. His students have explored diverse topics within mathematics education, including mathematical connection self-efficacy, geometric justification skills, and the relationship between school climate and teacher burnout. His teaching portfolio spans doctoral, master's, undergraduate, and associate degree levels, with courses focused on statistics, probability, data analysis, and mathematical research methods. As evidenced by his extensive publication record and thesis supervision, Professor BINDAK maintains an active research laboratory focused on quantitative educational research, with particular attention to measurement theory, statistical methodology in education, and mathematics learning processes. His work continues to influence both educational practice and research methodology in Turkey's academic community.

Eric Thraneمشاهده پروفایل

استاد

• Gravitational Waves
• Astrophysics
• Cosmology
• +۵ مورد دیگر

Eric Thrane is a Professor at Monash University's School of Physics and Astronomy, specializing in gravitational wave astronomy, astrophysics, and cosmology. His work combines data from gravitational wave observatories like LIGO with electromagnetic telescope observations to study compact binaries, neutron stars, and black holes. Institution: Monash University (School of Physics and Astronomy) Research Themes: Gravitational waves, cosmology, Bayesian inference, dark matter detection Thrane's recent research focuses on gravitational wave transient analysis, including GW231123 , black hole mass-spin correlations, and nanohertz gravitational wave detection via pulsar timing arrays. He develops advanced Bayesian frameworks like GammaBayes for dark matter searches and Bilby for gravitational wave inference. His group publishes extensively in journals like Physical Review D , Monthly Notices of the RAS , and Nature Astronomy . Collaborations span LIGO, Virgo, OzGrav, and the Cherenkov Telescope Array. Thrane leads major grants including a $460K ARC Discovery Project and contributes to $37M OzGrav 2 center. Awards: Special Breakthrough Prize in Fundamental Physics (2016), ARC Future Fellowship (2015) Outreach: Featured in ABC National Breakfast, Catalyst, and The Conversation

• Signal Processing
• Detection Theory
• Modulation Classification
• +۴ مورد دیگر

Berkan Dulek is a Professor at the Department of Electrical and Electronics Engineering at Hacettepe University since December 2021. His research focuses on Signal Processing , Detection Theory , and Communication Systems , with applications in Wireless Sensor Networks and Machine Learning . PhD, Electrical and Electronics Engineering, Bilkent University (2012) MS, Electrical and Electronics Engineering, Bilkent University (2006) BS, Electrical and Electronics Engineering, Bilkent University (2003) His work explores optimal signal design, modulation classification, and distributed detection under various constraints (power, secrecy, noise uncertainty). Recent publications address behavioral utility in detection systems, Fano-type bounds in hypothesis testing, and mutual information-based quantizer design . He also investigates power adaptation strategies and stochastic signaling in non-Gaussian noise environments . Key trends in his research include: Optimization of detection and estimation systems under prior uncertainty Machine Learning applications for modulation classification Communication Security via secrecy constraints Information Theory fundamentals in quantizer design Berkan has received multiple awards including the METU Prof. Dr. Mustafa N. Parlar Research Encouragement Award (2020) and TUBITAK Grant No: 215E118 (2019) . He holds a U.S. Patent (9,491,716) in communication control systems.