Prof. Dr. Murat Hacıömeroğlu is a faculty member in the Department of Computer Engineering at Başkent University, primarily involved in the Artificial Intelligence Engineering Program . He holds a PhD in Computer Science from the University of East Anglia (2010), alongside a Master's (2006) and BSc (2002) in Computer Engineering from Başkent University. PhD: University of East Anglia, Computer Science (2010) MSc: Başkent University, Computer Engineering (2006) BSc: Başkent University, Computer Engineering (2002) His research and teaching focus on foundational and applied aspects of Computer Science , particularly Database Systems , Object-Oriented Programming , and Software Engineering . He contributes to the field of Artificial Intelligence Engineering through educational leadership and curriculum development. His academic work emphasizes Engineering Education and the theoretical underpinnings of modern computing systems. He teaches key courses such as Introduction to Computer Engineering , Object-Oriented Programming , and Database Systems , reflecting his expertise in core engineering disciplines and data management.
İclal Çetin Taş is an Assistant Professor in the Computer Engineering department at Başkent University. She holds a PhD (2019), Master's (2012), and Bachelor's (2009) in Electrical and Electronics Engineering from Çukurova University. Her research spans three core domains: Artificial Intelligence : Applications in predictive modeling, classification, and deep learning systems. Image Processing : Focus on medical imaging (brain tumors, dental X-rays), forgery detection, and aerial image analysis. Signal Processing : Techniques for noise reduction and signal decomposition in medical and technical contexts. Recent publications (2022–2025) demonstrate a strong emphasis on deep learning applied to interdisciplinary challenges. Key themes include healthcare (cancer diagnosis, dementia classification), sustainability (battery life estimation), agriculture (crop detection), and digital security (image forgery). Her work frequently employs convolutional neural networks (CNNs) and regression models. She advises Master's students on topics like deep learning, image analysis, and software quality, though specific student names are not listed.
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.
Eyüp Ertuğrul Karsak is a Professor in the Industrial Engineering department at Galatasaray University , Turkey. He holds the UNESCO Chair in Computer-Integrated Manufacturing and has served in numerous administrative roles including Dean (2008-2014), Vice Rector (2014-2015), and Rector (2015-2023) at the same institution. His academic journey began with B.S. and Ph.D. degrees from Istanbul Technical University , followed by an M.S. from the University of Southern California . As a Chartered Financial Analyst (CFA) , he uniquely bridges industrial engineering with financial decision-making frameworks. Doctorate: Industrial Engineering, Istanbul Technical University (1994) M.S.: Industrial and Systems Engineering, University of Southern California (1990) B.S.: Industrial Engineering, Istanbul Technical University (1989) His research focuses on Multi-Criteria Decision Making (MCDM) , Data Envelopment Analysis (DEA) , and Fuzzy Logic Applications to complex systems. This spans supplier selection, healthcare performance evaluation, educational metrics, and sustainable technology assessment. His work has been published in leading journals such as Expert Systems with Applications , Computers & Industrial Engineering , and Resources, Conservation and Recycling . Karsak’s scientific impact is evidenced by his inclusion in the world’s top scientists list (PLOS Biology 2019, Elsevier 2021). He has led 14 research projects and advised 21 graduate students , particularly in fuzzy MCDM applications. His methodological contributions include novel frameworks combining QFD , DEA , and nonlinear programming for resource allocation and performance measurement. UNESCO Chairholder in Computer-Integrated Manufacturing Ranked among world’s top scientists (PLOS Biology 2019, 2020; Elsevier 2021) His managerial experience includes leadership roles across academic governance and departmental operations. Publications demonstrate consistent application of quantitative methods to real-world challenges in manufacturing, healthcare, and education sectors. For detailed project descriptions and grant information, please refer to the full description section.
Dr. Cenk Andiç is a Research Assistant at Istanbul Technical University's Department of Electrical Engineering. His work bridges Electrical Energy and Power Systems with Artificial Intelligence , focusing on optimization techniques for energy management and control systems. PhD in Electrical and Electronics Engineering (Düzce University) Integrated PhD program completion in 2024 Key research areas include: Automatic Voltage Regulation Load Frequency Control Dynamic Economic Load Dispatch Energy Optimization in Transportation Renewable Energy Integration Metaheuristic Optimization Algorithms Recent publications demonstrate a trend toward bio-inspired algorithms like Mountain Gazelle Optimizer , Puma Optimizer , and Sea Horse Optimizer for power system stability and renewable integration challenges. His work spans theoretical control systems to practical implementations in photovoltaic-thermal hybrid systems and data centres. Scientific recognition includes: 2023 Publication Award (Istanbul Technical University) 2024 Best Paper Award 2023 Cenk Andic Prize YÖK 100/2000 Scholarship He actively participates in international collaborations and serves as Principal Investigator for the 2025 project Improving Load Frequency Control in Interconnected Power Systems with Sled Dog Optimization Algorithm . Contact: andic18@itu.edu.tr
Dr. Serdar Arslan is a Lecturer at the Department of Computer Engineering at Cankaya University. He holds a PhD in Computer Engineering from Middle East Technical University (METU), with a thesis on multidimensional data indexing. His academic background includes a Master's (2005) and Bachelor's (2001) in Computer Engineering from METU and Hacettepe University, respectively. His research focuses on database systems, machine learning, multimedia data indexing, and forecasting models. Education: Bachelor of Engineering, Computer Engineering, Hacettepe University (2001) Master of Science, Computer Engineering, METU (2005) Doctor of Philosophy, Computer Engineering, METU (2018) Research Interests: Machine Learning applications in healthcare forecasting and financial markets Advanced indexing techniques for multimedia databases (e.g., MM-FOOD structure) Natural language processing for stance detection in political discourse Hybrid forecasting models combining LSTM and Prophet algorithms Domain-specific NLP for product name extraction in Turkish text Publications: His recent work emphasizes machine learning-driven solutions for complex systems, including pandemic modeling, cryptocurrency analysis, and conflict discourse analysis. His earlier contributions focused on multimedia indexing and image retrieval systems using MPEG-7 standards. The 2025 paper on OSINT architecture frameworks highlights his expanding focus on cybersecurity and system design. Labs/Teams: While no specific lab is mentioned, his GitHub repositories (e.g., Forecasting, NLP projects) suggest active involvement in collaborative research projects related to his domains.
Gülay YALÇIN is an Assistant Professor at Abdullah Gul University since 2016. Prior to this, she held a post-doctoral position at the Barcelona Supercomputing Center (BSC) from 2014-2015 and was a researcher there from 2009-2014. She obtained her Ph.D. from Universitat Politècnica de Catalunya in 2014, focusing on Computer Architecture. Her academic background also includes an M.S. from TOBB University (2007) and a B.S. from Hacettepe University (2003), both in Computer Engineering. Education: Ph.D.: Universitat Politècnica de Catalunya, Department of Computer Architecture (2008-2014) M.S.: TOBB University of Economics and Technology, Computer Engineering (2007) B.S.: Hacettepe University, Computer Engineering (2003) Research Interests: Computer Architecture Reliable Computer Design Fault Detection and Recovery Parallel Computer Architectures Hardware Transactional Memory Low-Power Designs Her work emphasizes improving system reliability through innovative fault tolerance mechanisms and energy-efficient computing solutions. Scientific Awards: ParaDIME Project Shortlisted for the 2016 Innovation Radar Prize Advising and Projects: Supervised: Albert Njoroge Kahira (M.S. Candidate) on "Designing Reliable Microarchitectures According to Application Requirements" Project Roles: Researcher in ParaDIME (2012-2015) and Velox (2008-2011)
Professor Konuralp Girgin is a distinguished academic in the Department of Civil Engineering at Istanbul Technical University, where he has served as a Professor since 2014, following his promotion from Associate Professor (2007-2014) and Assistant Professor (1999-2007) positions. His academic journey at ITU began with his doctoral studies in Civil Engineering completed in 1989, followed by work as a Research Assistant from 1988-1999. His educational background includes: Doctorate (PhD) in Civil Engineering from Istanbul Technical University (1989-1996) Master's Degree in Structural Engineering from Istanbul Technical University (1987-1989) Licence in Civil Engineering from Istanbul Technical University (1982-1986) Professor Girgin's research focuses on structural mechanics, with particular expertise in reinforced concrete structures, earthquake engineering, and structural analysis methods. His work bridges theoretical developments with practical applications in civil engineering, especially in the areas of structural safety assessment and seismic design. He has made significant contributions to understanding slenderness effects in reinforced concrete frames, torsional behavior of structures, and buckling analysis of complex structural systems. His publication record demonstrates expertise across multiple sub-disciplines of structural engineering, with particular strength in finite element methods, structural stability, and seismic performance evaluation. Among his notable recognitions: Outstanding Reviewer Award from Elsevier Journals (2017) Prof. Dr. Dr. hc. Önder Öztunalı Science Award from Istanbul Culture University (2007) Professor Girgin has supervised numerous graduate students, with 30 theses in progress noted in his profile. His research has been supported by significant projects including TUBITAK-funded initiatives on collapse safety of structures, earthquake resistance design, and more recently, software development for fiber-reinforced concrete applications. He has contributed to important technical reports that have influenced Turkish building codes and standards. His scholarly activities extend to professional service, including membership in TMMOB-IMO since 1986, and active participation in multiple international research collaborations such as the LESSLOSS project on risk mitigation for earthquakes and landslides.
Cahit AYTEKİN is an Assistant Professor at the Faculty of Education, Kırşehir Ahi Evran University , specializing in Mathematics Education . With a PhD in Primary Education from Hacettepe University (2016) and a master's in Mathematics (2018), his academic career spans roles such as Vocational School Director (2021–present) and Dean's Assistant (2017–2021). His research focuses on mathematics education, teacher training, and technology integration. Education : PhD (Primary Education, Hacettepe University, 2016); MSc (Mathematics, Kırşehir Ahi Evran University, 2018); MSc (Mathematics Education, Abant İzzet Baysal University, 2012); BSc (Mathematics and Science Education, Kocaeli University, 2008); BSc (Computer Engineering, Kırşehir Ahi Evran University, 2020). His research interests include: Mathematics Education Educational Technology (GeoGebra, augmented reality tools) Gifted Student Pedagogy Student Estimation Skills Math Anxiety Interventions Publications highlight his work on technology-enhanced learning, gifted education, and teacher training, with studies on GeoGebra's impact and parental expectations in mathematics education. He has advised 12 master's theses and led projects like 'Mathematics Teacher Candidates' Computer-Assisted Teaching' . Collaborations with researchers like Serdal Baltacı and Avni Yıldız reflect his interdisciplinary approach.
Mustafa Reşit TAVUS is a Lecturer at Kaman Vocational School, Department of Computer Technologies, Kırşehir Ahi Evran University. He has held full-time academic positions since 2018, previously serving as a Research Assistant at Gümüşhane University (2013-2015) and Ondokuz Mayıs University (2015-2018). Master's Degree: Computer Engineering, Ondokuz Mayıs University (2013-2016) Bachelor's Degree: Computer Education and Instructional Technologies, Ahi Evran University (2011-2013) His research focuses on computational methods in spectroscopy, signal processing for biomedical applications, and machine learning in agriculture and media. Recent work includes EPR spectra analysis using image processing and UAV-based plant counting via k-NN classifiers. Trends in his publications highlight interdisciplinary applications of machine learning, algorithm development for spectral and signal analysis, and integration of computational techniques in medical diagnostics and agricultural monitoring. He has collaborated with researchers such as Bünyamin Karabulut, Yunus Çelik, and Erdal Kılıç.
Gizem Gümüşçekiçci is a Research Assistant at Işık University , affiliated with the Faculty of Engineering and Natural Sciences in the Department of Computer Engineering . Her work focuses on Artificial Intelligence , Software Engineering , and Computer Networks . Education : Master's in Computer Engineering (Full Scholarship, ongoing since 2021), Bachelor's in Computer Engineering (75% Scholarship, 2016-2021) Her research integrates Natural Language Processing and Deep Learning , covering areas like Turkish Embedding Models , Sarcasm Detection , and Sign Language Accessibility . Recent publications highlight applications in sentiment analysis, diffusion models, and social network security. No scientific awards are explicitly mentioned in the provided texts.
Cihat Cetinkaya is a Professor in the Department of Software Engineering at Mugla Sitki Kocman University. He holds a PhD in Information Technologies from Ege University and has supervised research on deep learning applications in medical imaging and network optimization for video streaming. Bachelor's: Pamukkale University - Computer Engineering Master's: Ege University - Information Technologies Doctorate: Ege University - Information Technologies His research focuses on Software-Defined Networking (SDN) , Dynamic Adaptive Streaming over HTTP (DASH) , and Machine Learning applications in network management and medical imaging. He has pioneered SDN-based architectures for secure IoT systems and optimized DASH streaming via dynamic routing and MPTCP integration. Key trends in his publications include blockchain network optimization , SDN-driven quality of service (QoS) , and deep learning for radiograph analysis . He has developed tools like NetSim for network simulation and contributed to 5G UPF design via XDP programming. Scientific Awards: Distinguished Paper Award (2017) Student Travel Grant Award (2016) Best Paper Award (2014) As Head of the Department of Software Engineering since 2021, he has taught courses in Software Ethics , Software Testing , and Software-defined Networking . He serves on academic incentive committees and international project evaluation panels.
Muhammed TAN is an Assistant Professor at Kastamonu University's Faculty of Engineering and Architecture , Department of Electrical and Electronics Engineering. He has been active in academic roles since 2010, with a focus on Artificial Intelligence , Semiconductors , and Nanotechnology . Doctorate in Electrical and Computer Engineering (2012–2018) from University of California, Davis Master's in Physics (2010–2013) from Fatih University Bachelor's in Physics (2005–2010) from Fatih University His research spans nanomaterials for energy applications, machine learning in engineering systems, and semiconductor characterization . Recent work combines deep learning with thermal energy storage optimization and Python-based modeling of nanofluids. Key collaborations include Professor Yüksel Köseoğlu (2011–2013) and Charles E. Hunt (2016). Publications show significant impact in Materials Science and Electrical Engineering , with 655 citations and h-index 4. 2012 : MEB Overseas Education Scholarship 2011 : TÜBİTAK Master's Scholarship Teaches courses like Artificial Neural Networks , Power System Analysis , and Electric Vehicle Technology . Active in international research projects related to field-emission lighting and nanostructured materials .
Deniz BALTA serves as an Assistant Professor in the Department of Software Engineering at Sakarya University's Faculty of Computer and Information Sciences, a position held since 2020. His academic background includes a Doctorate (2012-2019) and Master's degree (2010-2012) from Sakarya University's Institute of Science in Computer and Information Engineering, with doctoral research on fuzzy logic-based indoor air quality monitoring systems and master's work on security infrastructure for service-oriented architectures. He completed his Licence degree (2005-2010) in Computer Engineering at Eskişehir Osmangazi University. His research spans Machine Learning (feature selection, K-Nearest Neighbors, Marine Predators Algorithm), Computer Vision (pose-based monitoring, face anti-spoofing), Biometrics (two-factor facial authentication), and Health Informatics (anxiety, depression, and perinatal period applications), with strong emphasis on Computer Security for critical infrastructure. Prior to his current role, he served as a Research Assistant in the Department of Computer Engineering at the same faculty from 2010 to 2020.
Musa BALTA is an Assistant Professor in the Department of Cyber Security Engineering at Sakarya University's Faculty of Computer and Information Sciences. He maintains an active research and teaching career focusing on cybersecurity, computer networks, and artificial intelligence applications in critical infrastructure protection. His educational background includes a Doctorate (2012), Master's Degree (2009-2016), and License (2004-2009), all from Sakarya University in Computer and Information Engineering/Computer Engineering. His doctoral thesis focused on SDN-based VANET architecture for urban traffic management systems. Dr. BALTA's research spans several critical areas including cybersecurity for critical infrastructure (particularly water and energy systems), software-defined networking, vehicular ad-hoc networks, and fuzzy logic applications in traffic management. His work demonstrates a consistent focus on applying artificial intelligence techniques to solve real-world problems in network security and transportation systems. He has developed secure testbed infrastructures for both energy and water management systems, highlighting his contribution to critical infrastructure protection. His publication record shows a clear trajectory from network topology discovery (early career) to sophisticated applications of AI in critical infrastructure security (recent work). The most recent publications focus on image-based security techniques for water infrastructure, advanced testbed development for energy systems, and continued work on intelligent traffic management solutions. EFQM Excellence Award Dr. BALTA teaches various computer engineering courses including Logic Circuits, Computer Engineering Design, Internet Engineering, Network Programming, and Network Security. His current course load demonstrates expertise across foundational computer engineering topics and specialized security courses. He has supervised graduation projects and appears to be involved in several research projects related to critical infrastructure security, including projects titled 'Artificial Intelligence and Big Data Supported Water Quality Monitoring and Anomaly Detection System for Water Management Systems,' 'Integrated Security Management Platform Design and Application for Meter Management Systems in Software Defined Smart Grids,' and 'Development of Cybersecurity Capabilities for Energy Critical Infrastructure (SYNERGY) Project.' His research group appears to focus on critical infrastructure protection, with particular emphasis on developing testbed infrastructures for both energy (CENTER Energy) and water (CENTER Water) systems. This work positions his team at the intersection of cybersecurity, industrial control systems, and critical national infrastructure protection.
