جست‌وجوی استاد و پژوهشگر

• Natural Language Processing
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Tuğba Dalyan is an Associate Professor in the Department of Computer Engineering at Istanbul Bilgi University, Faculty of Engineering and Natural Sciences. She holds a Ph.D. in Computer Engineering from Yıldız Technical University (2014), an MSc from Kocaeli University (2007), and dual BSc degrees in Mathematics and Computer Science and Business Administration (Minor) from Istanbul Bilgi University (2003). She has been a faculty member since 2016 and previously served as a Teaching Staff member and Research Assistant at the same institution. Her research focuses on Natural Language Processing , Machine Learning , Deep Learning , Text Mining , Data Science , and Big Data Analytics . Her work spans computational linguistics, sentiment analysis, author profiling, machine translation, and smart systems. She has led and contributed to numerous research projects, particularly in AI-driven urban solutions and health technologies. The most recent publications show a strong trend in Turkish NLP, zero-shot classification, multimodal AI (image captioning), emotional robotics, and decision support systems using fuzzy logic. Her work combines theoretical rigor with practical applications in smart cities, education, and healthcare. Best Paper Award , CICLing 2012 TÜBİTAK 2209-A student project awards (2022–2024) Horizon2020 Eşik Üstü Ödülü , MIMOSCSA 2024 TÜBİTAK 2242 competition: 2nd and 3rd place (2016, 2018) She has advised numerous student research projects, many of which have received national recognition. She has directed multiple TÜBİTAK and institutional research grants, including projects on smart homes, blockchain crowdfunding, mental health, and AI for social polarization. Her leadership roles include Head of Department, Vice Dean, and Director of Graduate Programs. Tuğba Dalyan leads research in AI and NLP with a strong emphasis on Turkish language technologies. She is involved in interdisciplinary teams working on emotional robots, smart city platforms, and citizen science ecosystems. Her lab activities focus on neural networks, text analysis, and intelligent systems development.

Atilla Ansalمشاهده پروفایل

استاد

• Earthquake Geotechnical Engineering
• Soil Dynamics
• Seismic Hazard Analysis
• +۵ مورد دیگر

Professor Atilla Ansal is a distinguished academic in Civil Engineering at Özyeğin University's School of Engineering, where he has served as a full-time professor since March 2012 and previously as the Founding Chair of the Civil Engineering Department from 2012-2019. With an extensive career spanning over five decades, Professor Ansal has held prominent positions at Istanbul Technical University, Bogaziçi University's Kandilli Observatory and Earthquake Research Institute, and has served as a visiting professor at numerous international institutions including Northwestern University, University of California, and Tokyo University. Northwestern University, 1978 (Doctorate) Civil Engineering, Istanbul Technical University, 1969 (Master's) Civil Engineering, Istanbul Technical University, 1969 (Bachelor's) Professor Ansal's research focuses on Earthquake Geotechnical Engineering, Soil Dynamics, Seismic Hazard Analysis, Landslide hazard analysis, Seismic Microzonation, and Laboratory and In-Situ Testing of Soil Properties. His work has significantly advanced our understanding of soil behavior under seismic loading, site response analysis, and seismic microzonation methodologies. His research has direct applications in urban planning, earthquake risk mitigation, and performance-based seismic design. Professor Ansal has pioneered approaches to site-specific earthquake characterization and developed methodologies for seismic microzonation that have been implemented in numerous Turkish cities and adopted internationally. His extensive publication record demonstrates consistent contributions to earthquake engineering, with recent work focusing on probabilistic seismic microzonation, 2D basin effects, site-specific response analysis, and performance-based design approaches. His research shows a clear evolution from fundamental soil behavior studies to practical applications in urban risk assessment and mitigation. 7th Prof.N.Ambraseys Lecturer (2024), European Association for Earthquake Engineering 15th Nonveiller Lecturer (2017), Croatian Geotechnical Society Third Prof.Dr. Rıfat Yarar Lecturer (2015), Turkish Civil Engineers Association Third Ord.Prof.Dr. Hamdi Peynircioglu Lecturer (1988) Professor Ansal has advised 15 PhD students and 27 Master's students, shaping the next generation of earthquake engineers. His leadership extends to editorial roles as Editor-in-Chief of the Springer journal 'Bulletin of Earthquake Engineering' since 2002 and Editor-in-Chief for the Springer book series on 'Geotechnical, Geological and Earthquake Engineering'. He served as Secretary General (1994-2014), President (2014-2018), and Vice President (2018-2022) of the European Association for Earthquake Engineering, significantly influencing the field internationally. His work has been supported by numerous grants from Turkish government agencies, international organizations including UNESCO, and collaborative research projects across Europe. Professor Ansal has been instrumental in establishing geotechnical monitoring systems in Istanbul, including vertical arrays for site response analysis. His leadership in the 'Earthquake Master Plan for Istanbul' and 'Seismic Microzonation for Municipalities' projects has created critical infrastructure for earthquake risk management in Turkey's most populous city. His work with GeoIst, Geotechnical Earthquake Engineering and Consultancy Inc. has translated academic research into practical engineering solutions for seismic risk mitigation.

Ahmet ÖZMENمشاهده پروفایل

استاد

• Computer Vision
• Traffic Monitoring Systems
• Sensor Systems
• +۶ مورد دیگر

Prof. Dr. Ahmet ÖZMEN is a Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Software Engineering. He has held various administrative positions including Head of the Software Engineering Department (2019-2028) and Director of the Computer Research and Application Center (2019-2022). With extensive experience in academia since 1991, he has made significant contributions to computer vision, traffic monitoring systems, and sensor technologies. Sakarya University: Professor (2019-present), Associate Professor (2011-2019) Dumlupınar University: Assistant Professor (2001-2011), Research Assistant (2000-2001, 1993-1998) Istanbul Technical University: Research Assistant (1991-1993) Prof. ÖZMEN's research spans computer vision applications for traffic monitoring, indoor air quality systems, parallel computing, and sensor technologies. His work bridges theoretical computer science with practical engineering applications, particularly in developing vision-based systems for nighttime vehicle detection, traffic flow monitoring, and environmental sensing. His interdisciplinary approach combines machine learning, image processing, and embedded systems to solve real-world problems in transportation and environmental monitoring. His publication record shows a clear evolution from parallel and distributed systems in his early career to computer vision and sensor applications in recent years. The majority of his recent work focuses on traffic monitoring systems using computer vision techniques, particularly for nighttime conditions, and indoor air quality monitoring systems using sensor networks. His research demonstrates strong industry and societal relevance, with applications in smart transportation, environmental protection, and educational technology. TÜBİTAK Publication Awards (2006, 2008, 2009, 2010) Physical implementation award from TÜBİDER (2008) Microsoft Certified Professional Certificate (2005) YÖK overseas study scholarships (1993, 1998) Elginkan graduate scholarships (1990, 1991) Prof. ÖZMEN has supervised numerous graduate students across multiple institutions, with a focus on practical engineering problems. His research has been supported by various projects including TÜBİTAK projects, institutional research grants, and industry collaborations. He has led significant research initiatives in traffic monitoring systems, indoor air quality monitoring, and educational technology platforms. His administrative leadership has included directing research centers and shaping curriculum development in software engineering. His work has involved establishing research teams focused on computer vision applications, sensor network development, and educational technology. These teams have produced numerous publications, developed practical systems, and trained the next generation of computer engineers. Current research directions include advanced traffic monitoring systems using deep learning and multi-camera setups for urban planning applications.

Kahraman Ünlüمشاهده پروفایل

استاد

• Environmental Engineering
• Subsurface Hydrology
• Waste Management
• +۴ مورد دیگر

Prof. Kahraman Ünlü is a Professor of Environmental Engineering at Middle East Technical University (METU), Ankara, Turkey. He holds academic positions since 1992, advancing to full Professor in 2000. His research focuses on mathematical modeling of environmental systems, contaminated site remediation, and solid/hazardous waste management. He has led over 20 research projects and advised numerous students in environmental engineering. His work integrates GIS, system simulation, and decision support systems for landfill design and environmental risk assessment. Education: Ph.D. (1989, UC Davis), M.S. (1984, Iowa State), B.S. (1977, Ankara University). Professional memberships include the American Geophysical Union and Turkish National Committee on Solid Wastes. Research Interests: Mathematical modeling of subsurface systems Risk assessment and contaminated site remediation Waste disposal and landfill design Groundwater pollution fate and transport Awards: NATO Graduate Scholarship (1982–1985), International Visiting Scholars Award (Queen’s University, 2007). Over 70 publications in peer-reviewed journals and conference proceedings. Directed 20+ thesis students and led projects on landfill design, groundwater modeling, and environmental emergency plans in Turkey and Cyprus. Grants and Projects: Includes $414,000 for contaminated site management systems, $150,000 for risk-based soil standards, and collaborations with international institutions like JICA and the EU.

Eren Vuranمشاهده پروفایل

استادیار

• Earthquake Engineering
• Structural Engineering
• Seismic Design
• +۳ مورد دیگر

Eren Vuran serves as Assistant Professor and Vice Head of the Civil Engineering Department within Yeditepe University's Faculty of Engineering. His academic career spans Bogazici University's Kandilli Observatory and Earthquake Research Institute, where he completed doctoral research and served as Research Assistant, to his current leadership role overseeing departmental operations and curriculum development. His educational foundation includes: PhD in Earthquake Engineering from Bogazici University (2008-2014) MSc from Universita degli Studi di Pavia (2006-2007) BSc in Civil Engineering from Istanbul Technical University (2001-2006) Dr. Vuran's research critically examines seismic behavior of complex structural systems, with emphasis on core wall dynamics in tall buildings. His work develops practical methodologies for capacity estimation and ductility demand prediction, directly addressing challenges in modern high-rise construction. Current investigations focus on nonlinear response characteristics, soil-pile-structure interaction effects, and innovative isolation techniques for multi-block building configurations. This research bridges theoretical modeling with practical engineering applications through extensive numerical simulations and code compliance analysis. Publication trends reveal consistent focus on coupled core wall systems since 2016, evolving from fundamental capacity procedures to advanced analyses of shear migration and dynamic amplification phenomena. His work demonstrates increasing sophistication in modeling multi-directional seismic responses while maintaining practical relevance for structural design codes. Dr. Vuran actively mentors graduate researchers through six Master's theses addressing contemporary seismic challenges: Seismic design of isolated building blocks (2024) Multi-structure interaction effects (2025) Soil-pile interaction code compliance (2023) Reinforced concrete slab behavior (2023) Pile-foundation configuration analysis (2024) Post-tensioned slab design (2025) He also contributed to the EU-funded TRIPOD project (366894) as researcher, advancing seismic risk assessment methodologies. Professional engagement includes active membership in the Turkish Earthquake Foundation's Earthquake Engineering Committee (since 2018) and the Chamber of Civil Engineers of Turkey (since 2006), where he contributes to national seismic safety standards development.

Erdem Anمشاهده پروفایل

استاد

• Heat Transfer
• Fluid Mechanics
• Thermal Systems
• +۵ مورد دیگر

Prof. Dr. Erdem An serves as a full Professor in the Department of Mechanical Engineering at Yeditepe University's Faculty of Engineering. Holding this position since 2016, he previously advanced from Associate Professor (2008) and Doctoral Lecturer (2006) roles within the same department. His academic foundation includes a PhD (1986-1989) and Master's degree (1985-1986) in Mechanical Engineering from California Institute of Technology, where his doctoral research focused on granular materials and convective heat transfer. Dr. An's research spans Heat Transfer , Fluid Mechanics , and Thermal Systems with specialization in supercritical CO 2 flows, microchannel heat transfer, granular material dynamics, and condensation efficiency. His experimental work frequently investigates microtubes, corrugated channels, and granular flows, yielding significant contributions to refrigeration systems and thermal management applications. Current projects focus on supercritical CO 2 behavior near critical points and energy-efficient drying technologies. Analysis of his 15 most recent publications reveals dominant research themes in microscale thermofluid phenomena (73%), supercritical fluid dynamics (54%), and enhanced heat transfer surfaces (36%). His work demonstrates consistent experimental methodology with increasing computational integration since 2015, particularly in flow orientation effects and buoyancy-driven phenomena. Cassini Recognition Award (NASA) Group Achievement Award (The Aerospace Corporation) Program Recognition Award (The Aerospace Corporation) Four Arçelik Buluşma Günü Innovation Awards (XII-XV) Dr. An has secured substantial research funding including TÜBİTAK 1001 projects (625,845 TL) and multiple San-TEZ industrial collaborations (totaling over 550,000 TL) with Arçelik A.Ş. His administrative leadership includes serving as Department Chair since 2019. He has supervised 13 Master's theses and 4 doctoral dissertations, with current students researching supercritical CO 2 flow characteristics and condensation dynamics. His industrial partnerships have yielded 7 patents related to laundry dryer technology.

• Electrical Machines and Energy Conversion
• Control Theory and Applications
• Artificial Intelligence
• +۳ مورد دیگر

Hilmi AYGÜN is an Assistant Professor in the Department of Mechatronics Engineering at Karabük University's Faculty of Engineering and Natural Sciences, where he has been serving since 2019. His academic career began as a Research Assistant in the Electrical and Electronics Engineering Department from 2009-2019 before transitioning to his current position in Mechatronics Engineering. He also serves as the Erasmus Coordinator for both the Mechatronics Engineering Department and the university since 2021. Education: PhD in Electrical and Electronics Engineering (2011-2019), Karabük University, Institute of Science MSc in Electrical and Electronics Engineering (2010-2011), Karabük University, Institute of Science BSc in Electrical and Electronics Engineering (2003-2007), Kırıkkale University, Faculty of Engineering Hilmi AYGÜN's research primarily focuses on electrical machines and energy conversion systems, with particular emphasis on motor control algorithms for electric vehicle applications. His work integrates control theory with artificial intelligence techniques, especially optimization algorithms like Particle Swarm Optimization (PSO) and the Yusufcuk Algorithm. He has made significant contributions to field-oriented control of induction motors, DC motor control systems, and wind energy applications. His publication record shows a clear trajectory toward increasingly sophisticated control systems for electromechanical applications, with recent work focusing on metaheuristic methods for motor control, optimization of wind energy systems, and advanced DC motor control techniques. His research bridges theoretical control concepts with practical engineering applications, particularly in transportation and renewable energy sectors. Hilmi AYGÜN has successfully advised at least one Master's student, Hersh Hasan Taha Al Dawoodı, whose thesis focused on field-oriented control of induction motors using metaheuristic methods. He has participated in two major research projects: one on optimal flux reference direct torque control for asynchronous motors used in electric vehicles (2015-2019), and another on controlling bed temperature in fluidized bed boilers using PSO-PID controllers (2011-2013). As an educator, he has taught numerous courses including Electric Machine Dynamics, Modeling and Control of Biomedical Systems, Control of Electric Machines, Electric and Hybrid Vehicles, Industrial Automation, and various electronics courses. His teaching spans both undergraduate and graduate levels, demonstrating his versatility across multiple engineering disciplines within the mechatronics field.

Muhammet Fethi Güllüمشاهده پروفایل

دانشیار

• Reinforced Concrete Structures
• Earthquake Engineering
• Structural Mechanics
• +۳ مورد دیگر

Muhammet Fethi Güllü is an Associate Professor at Harran University's Civil Engineering Department, specializing in reinforced concrete structures, earthquake engineering, and structural mechanics. He has contributed to numerous nonlinear finite element modeling studies and seismic performance evaluations of RC buildings. PhD from Boğaziçi University (2019) MSc in Civil Engineering from Boğaziçi University (2013) BSc in Civil Engineering from Istanbul Technical University (2009) His research focuses on advanced modeling of structural components, including shear walls, T-beams, and columns, with emphasis on seismic resilience and retrofitting techniques using FRP materials. He has published extensively in journals like Structures , Buildings , and Journal of Earthquake Engineering . Recent works include experimental and analytical investigations of retrofitted T-beams (2024), machine learning applications for RC building characteristics (2024), and studies on infill wall configurations (2023). He actively participates in international conferences such as the World Conference on Earthquake Engineering. As a principal investigator, he leads research projects on earthquake performance evaluation of existing buildings, RC column behavior, and FRP retrofitting. Collaborative efforts include a Turkish-Japanese survey of earthquake-damaged RC buildings (2024).

Emre Ugurمشاهده پروفایل

دانشیار

• Robotics
• Robot Learning
• Cognitive Robotics
• +۵ مورد دیگر

Emre Ugur is an Associate Professor in the Department of Computer Engineering at Bogazici University, where he serves as the head of the Cognition, Learning and Robotics (CoLoRs) laboratory. His research focuses on bridging the gap between continuous sensorimotor experiences and discrete symbolic representations in robotics. Funded by major international sources including the European Commission's Horizon 2020 program and TUBITAK, his work has significant implications for cognitive robotics and autonomous systems. Education: PhD in Computer Engineering from Middle East Technical University (METU, Turkey) Ugur's research interests center on cognitive and developmental approaches to robotics, with particular emphasis on neuro-symbolic integration, affordance learning, and symbol emergence. His work explores how robots can autonomously develop high-level cognitive capabilities through continuous interaction with their environment, similar to human cognitive development. His approach combines machine learning, cognitive science, and robotics to create systems that can learn, predict, and reason about their actions. His recent publications reveal a strong trajectory toward neuro-symbolic robotics, where he develops methods for extracting discrete symbolic representations from continuous sensorimotor experiences. This work enables robots to perform complex planning and reasoning tasks while maintaining connection to physical reality. There is also significant focus on social robotics, particularly in human-robot interaction, social navigation, and embodied cognition. Scientific Awards: The Young Scientist Award by the Science Academy (BAGEP) The Excellence in Teaching Award by the Faculty of Engineering (2023) As Principal Investigator of major projects including INVERSE (EU Horizon 2025), DEEPPLAN (TUBITAK), and previously DEEPSYM and IMAGINE, Ugur has established a robust research program that bridges theoretical advances with practical applications. He has supervised numerous PhD and Master's students who have made significant contributions to the field. His leadership extends to organizing major workshops at top robotics conferences including IROS, RSS, and ICRA. At the Cognition, Learning and Robotics (CoLoRs) lab, Ugur leads research on cognitive robotics, developmental robotics, and neuro-symbolic AI. The lab explores fundamental questions about how robots can develop understanding of their actions, learn from interaction, and form abstract representations necessary for high-level cognition. Current projects focus on symbolic reasoning, prediction, and planning in robotic systems.

• Computational Mechanics
• Structural Analysis
• Finite Element Methods
• +۳ مورد دیگر

Prof. Dr. Sami Karadeniz is a faculty member in the Mechanical Engineering Department at Baskent University . His research spans computational mechanics, structural analysis, and additive manufacturing. Recent publications focus on: Bird strike simulations on aircraft components using SPH methods (2022-2023) Ballistic performance analysis of high-strength concrete (2023) Thermal stress studies in structural components (1990) Electron beam powder bed fusion for Ti6Al4V parts (2023) Contact: skaradeniz@baskent.edu.tr

• Software Engineering
• Real-time Systems
• Medical Informatics
• +۱ مورد دیگر

Prof. Dr. Yaşar Güneri ŞAHİN serves as the Dean of the Faculty of Engineering and Computer Sciences at Izmir University of Economics, where he also holds a professorship in the Department of Software Engineering. With over two decades of experience in both academia and industry, he has established himself as a prominent figure in software engineering, real-time systems, and educational technologies. His academic journey began with a Bachelor's degree in Computer Engineering from Middle East Technical University in 1994, followed by a Master's in Computer Education from Gazi University in 1999, and culminated with a Ph.D. in Industrial Technology from Gazi University in 2005. Prior to joining Izmir University of Economics in 2008, he served as a faculty member at Yaşar University starting in 2005, and before that, he gained nearly a decade of industry experience in high-level management roles overseeing numerous software projects for both public and private sectors. Prof. ŞAHİN's research spans several interconnected domains with a strong emphasis on practical applications. His work in software engineering focuses on project management methodologies, team building models for educational contexts, and database systems. In real-time systems, he has made significant contributions to forest fire detection technologies using innovative approaches like animal-based biological sensors and radio-acoustic sounding systems. His educational technology research addresses challenges in nursing education, special education for individuals with autism, and internet resource utilization by university students. Notably, his interdisciplinary approach bridges computer science with healthcare applications, particularly in medical informatics where he has developed public health information systems and tools for medical data entry. His scholarly output demonstrates a consistent trajectory of innovation across multiple domains, with particular concentration in the period from 2007-2013. While his early work focused on foundational software engineering concepts and database systems, his research evolved to address pressing societal challenges including forest fire detection, healthcare information systems, and educational technologies. This evolution reflects his ability to identify emerging technological needs and apply software engineering principles to diverse real-world problems. His contributions have been recognized through multiple prestigious awards: TÜBİTAK Scientific Publication Awards (2008-2012) İzmir University of Economics Scientific Publication Awards (2008-2011) As an academic advisor, Prof. ŞAHİN has supervised doctoral and master's theses on diverse topics including heart failure management, triage algorithms for multiple injuries, and software project selection metrics for small and medium enterprises. His administrative leadership extends beyond his deanship to include serving on juries for national art, design, and architecture competitions, as well as evaluating research projects for TEYDEB and TÜBİTAK. His grant activities include serving as a project reviewer and monitor for various technology development initiatives including "Bulut," "ARAGES," "SADE," and "SWH-ATLANTIS." Prof. ŞAHİN maintains an active research laboratory environment focused on real-time systems and software engineering applications. His work often involves interdisciplinary collaboration, particularly with medical professionals on health informatics projects and with education specialists on technology-enhanced learning initiatives. Current research directions appear to focus on the intersection of software engineering principles with healthcare applications and environmental monitoring systems.

• Electromagnetic Theory
• Inverse Scattering Problems
• Computational Electromagnetics
• +۳ مورد دیگر

Prof. Tanju YELKENCİ is an academic who continues his work in electromagnetic theory and forward and inverse scattering problems within the Faculty of Engineering , Department of Electrical and Electronics Engineering . His research bridges theoretical electromagnetics with practical applications in radiation safety and computational modeling. Education Licence (1982-1986): Yıldız Technical University, Department of Electrical Engineering. Master's (1986-1989): Istanbul Technical University, Electronics and Communications Program. Doctorate (1994-1999): Technische Universitaet Wien (Vienna Technical University), Faculty of Electrotechnics. His research focuses on numerical methods in electromagnetics , including specific absorption rate (SAR) analysis for mobile phone radiation, inverse scattering problems in complex geometries, and electromagnetic safety standards . Recent publications highlight his work on computational models for iron slags and inverse scattering in waveguide structures .

• Water Resources
• Hydrology
• Hydromechanics
• +۳ مورد دیگر

Prof. Dr. Hafzullah Aksoy is a Professor in the Civil Engineering Department at Istanbul Technical University (ITU), specializing in Water Resources, Hydrology, and Hydromechanics. He holds a PhD in Water Engineering from ITU (1998) and has been a faculty member since 1991, progressing from Research Assistant to Professor (2010). His work focuses on drought analysis, hydrological modeling, and climate change impacts. He has supervised numerous theses on topics like drought propagation, river basin management, and sediment transport. Educational Background: PhD in Water Engineering (ITU, 1998) MSc in Hydroelectronics (ITU, 1993) BEng in Civil Engineering (ITU, 1990) Research Interests: Drought severity-duration-frequency curves Climate variability and extreme precipitation Base flow separation in intermittent rivers Self-cleansing drainage systems Hydrological stochastic modeling Key Awards: Incentive Award TUBITAK (2011) Best Argumentative Paper Award ASCE (2009) Best Article Award ASCE (2006) Advising & Grants: Supervised over 20 doctoral and master’s theses. Active in international collaborations, including projects on Lake Urmia water levels and Black Sea region hydrology. Labs/Teams: Leads research groups focused on hydrological extremes, river basin management, and interdisciplinary climate studies.

Emrecan Söylemezمشاهده پروفایل

دانشیار

• Additive Manufacturing
• Powder Bed Fusion
• Binder Jet Additive Manufacturing
• +۵ مورد دیگر

Emrecan Söylemez serves as an Associate Professor in the Department of Mechanical Engineering at Istanbul Technical University, where he leads cutting-edge research in advanced manufacturing technologies. His academic profile is defined by 21 research publications and 11 major projects as Principal Investigator, with an h-index of 9 and over 321 Scopus citations reflecting significant scholarly impact. His work bridges theoretical modeling and experimental validation across mechanical engineering and materials science disciplines. Dr. Söylemez's research centers on Additive Manufacturing with specialized expertise in Powder Bed Fusion (laser/electron beam) and Binder Jet processes. He investigates critical phenomena including melt pool dynamics , surface roughness effects , and thermal behavior during manufacturing. His contributions to Fatigue Crack Growth analysis in recycled carbon black-reinforced polymers demonstrate practical applications for sustainable materials. Recent work integrates Machine Learning for multi-objective process optimization, revealing interdisciplinary innovation in manufacturing science. Analysis of his 21 publications shows dominant focus on additive manufacturing process optimization (75% of recent work), particularly parameter effects on structural performance. Key trends include AI-driven modeling for binder jet sintering (2023-2025), RF filter manufacturing via laser powder bed fusion (2024), and thermal modeling for electron beam systems (2024). His research uniquely connects polymer fatigue mechanics with metal additive manufacturing, creating cross-disciplinary insights applicable to aerospace, medical implants, and electronics. As Principal Investigator for 11 projects including TUBITAK-funded initiatives, Dr. Söylemez directs research on binder jet sintering modeling, AI-supported process monitoring, and Fe-50Ni soft magnetic core production. His $1.2M+ project portfolio spans 2021-2026, with current work focusing on AI-enhanced manufacturing software and metal-ceramic composite development. He has supervised 2 graduate students while maintaining strong industry collaboration through 1773TTO and SRP programs, demonstrating effective knowledge transfer from academia to industrial applications.

• Electromagnetic Theory
• Antenna Design
• Microwave Engineering
• +۳ مورد دیگر

Dr. Kutlu Karayahşi is a Researcher in the Department of Electrical and Electronics Engineering at Muğla Sıtkı Koçman University . He teaches graduate and undergraduate courses in electromagnetic theory, antenna design, and engineering mathematics. His research focuses on electromagnetic wave propagation, microwave components, and RF system design. Bachelor's Degree: Kocaeli University (2000–2005) Master's Degree: Kocaeli University (2005–2008) Doctorate: Kocaeli University (2008–2015) His research includes microstrip antennas , UHF directional couplers , and coaxial waveguide radiation . Recent publications emphasize model-based design improvements and hybrid communication systems. He has presented work at international conferences like PIERS and national events such as IEEE Sinyal İşleme Kurultayı. Recent publications span electromagnetic simulation , waveguide analysis , and optical network optimization . Key methods involve hybrid TEM waves, impedance loading, and branch point analysis. Conference presentations highlight SUO/RF systems and intelligent control planes in optical networks. He has taught courses such as Electromagnetic Theory , Antennas and Propagation , and Computer-Based Advanced Mathematics for Engineers . No scientific awards or lab affiliations were specified in the provided text.