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Ali Osman ERView profile

Assistant Professor

• Machining
• Hard-to-Machining Materials
• Metal Matrix Composites
• +4 more

Dr. Ali Osman ER serves as an Assistant Professor in the Department of Mechanical Engineering at Kırıkkale University's Faculty of Engineering and Natural Sciences, specializing in advanced machining technologies and hard-to-machine materials. His academic journey began with third-place graduation from Kırıkkale University's Mechanical Engineering Department in 1999, followed by research assistantship and subsequent academic promotions. His educational background includes: B.S. in Mechanical Engineering (1999), Kırıkkale University (3rd rank) M.S. in Mechanical Engineering (2003), Kırıkkale University Ph.D. in Mechanical Engineering (2008), Kırıkkale University Postdoctoral Research (2014-2015), Purdue University Dr. ER's research focuses on cutting-edge manufacturing processes including laser-assisted turning of titanium composites, high-speed machining of hardened materials, and sustainable manufacturing techniques. His work bridges theoretical innovation with industrial applications, particularly in domestic manufacturing development. Current research trends show increasing emphasis on machine learning applications for machining optimization, hybrid composite material processing, and environmentally conscious manufacturing methods like Minimum Quantity Lubrication. His scientific recognition includes: TÜBİTAK Postdoctoral Research Scholarship (2014) As an academic leader, Dr. ER has served as Deputy Department Head (2012), Director of Kırıkkale University Hacılar Hüseyin Aytemiz Vocational School (2019-2024), and University Senator. He actively contributes to national manufacturing initiatives through consultancy for İmalET Community, technical expertise for Vocational Qualifications Authority, and evaluation roles for TÜBİTAK and Ministry of Industry. His science communication efforts include TÜBİTAK-organized school talks on National Technology Move. Dr. ER maintains active engagement with student communities through Mechanical Engineering Club and previously co-founded Kırıkkale University Mountaineering Club. His patent applications in Smart Kitchen Systems and Toy Production demonstrate practical technology transfer.

• Robotics
• Mechatronic System Design
• Computer Aided Design and Manufacturing
• +1 more

Cüneyd DEMİR is a full-time Lecturer at Ahi Evran University's Mucur Vocational School, Department of Computer Technologies. He has held this position since 2019 and was promoted to Doktor Öğretim Görevlisi (Lecturer with PhD) in 2024. His administrative roles include Department Head (2021-2023), Vice Director of the Vocational School (2021-present), and membership in university committees (Quality Board, Management Council). He holds a PhD in Industrial Design Engineering from Gazi University (2020-2024), an MSc in Defense Technologies from Kırıkkale University (2015-2017), an MSc in Occupational Health and Safety from Aksaray University (2019), and a BSc in Mechatronic Engineering from Gaziosmanpaşa University (2011-2015). His research focuses on Robotics , Mechatronic System Design , Computer-Aided Design/Manufacturing (CAD/CAM) , and Artificial Intelligence , with emphasis on unmanned ground vehicles (UGVs), defense systems, renewable energy integration, and AI-driven design methodologies. Publications primarily explore UGV design using machine learning, solar-powered autonomous systems, and material science for robotics. Recent works demonstrate strong trends in AI/neural network applications for defense technology and systematic design processes. He contributed to the TÜBA/TÜBİTAK-supported project: "Güneş Enerjisi İle Uçuş Süresi Artırılmış Otonom Model Uçak" (Solar-Powered Autonomous Model Aircraft with Extended Flight Duration, 2014-2015) as a researcher.

• Image Processing
• Artificial Intelligence
• Data Mining
• +3 more

Kadir Can BURÇAK is a full-time Lecturer at the Information Systems and Technologies department within the School of Engineering at Kirsehir Ahi Evran University . His work focuses on Computer Science and Engineering , particularly in the domains of image processing and artificial intelligence. Education : Not explicitly detailed in the provided data. Professional Experience : Lecturer (2015–present), Director of Research and Application Center (2015–present). Research Interests revolve around Artificial Intelligence , Image Processing , and Data Mining , with a strong emphasis on applying deep learning techniques to medical imaging tasks, particularly breast cancer diagnosis. His work explores convolutional neural networks , feature selection algorithms , and optimization methods for improving diagnostic accuracy. Recent Publications highlight his expertise in integrating deep learning with hybrid models for medical imaging analysis, including studies on histopathological image classification and gradient descent optimization in breast cancer detection. His book on ASP.NET Core 3+ demonstrates his technical contributions to software development. Citation Metrics : Google Scholar: 97 citations, h-index 2 UNIS Metrics: 49 citations, h-index 2 WoS: 2 broadcasting, h-index 2

• Wireless Communication
• Quantum Communication
• Robotics and Mechatronics Systems
• +11 more

Professor TUĞRUL ÇAVDAR is a distinguished academic at Karadeniz Technical University's Faculty of Engineering, Department of Computer Engineering, where he has served as a full Professor since 2024. Previously, he held positions as Associate Professor (2018-2024), Assistant Professor (2007-2018), and Lecturer (2005-2007). He also served as a visiting Assistant Professor at Northeastern University's Electrical & Computer Engineering department from 2012-2013. Currently, he serves as Head of Department at Karadeniz Technical University since 2010, and as Erasmus Program Institutional Coordinator since 2013. Dr. Çavdar completed his Doctorate (1997-2003), Postgraduate (1994-1997), and Undergraduate (1990-1994) studies all in Electronic Engineering at Karadeniz Technical University. His research spans multiple cutting-edge domains including Wireless Communication, Quantum Communication, Robotics and Mechatronics Systems, Humanoid Robots, Quantum Cryptography, Computer Networks, and Artificial Intelligence applications. His work bridges theoretical foundations with practical implementations in next-generation communication systems. His publication portfolio demonstrates a clear progression from traditional communication systems toward quantum and AI-enhanced networking solutions. Early works focused on wireless communication algorithms and robotics, while his recent publications emphasize quantum communication, machine learning applications in networking, and IoT security. His research shows strong interdisciplinary connections between computer engineering, quantum mechanics, and artificial intelligence. 170 H-Index (WoS) 351 H-Index (Scopus) 496 H-Index (Scholar) 3 H-Index (TrDizin) 4 H-Index (Sobiad) Professor Çavdar has supervised 11 theses including 5 doctoral and 6 master's students. He has secured numerous research grants from TÜBİTAK and other funding bodies, with recent projects focusing on quantum communication, AI optimization in composite materials, and autonomous systems. He serves as Editor for the Turkish Journal of Electrical Engineering & Computer Sciences and has been actively involved in reviewing for multiple international journals. His leadership extends to serving on assistant professorship appointment committees for various Turkish universities.

• Computer Science
• Cybersecurity
• Artificial Intelligence
• +3 more

Selim Yilmaz is a faculty member at the Faculty of Engineering , Mugla Sıtkı Koçman University , serving in the Department of Software Engineering . With a PhD in Computer Engineering from Hacettepe University, he teaches courses including Deep Learning, Advanced Programming, and Information Security. His editorial roles span journals like PLOS ONE and Expert Systems With Applications . Research Interests : Selim Yilmaz focuses on Cybersecurity for Internet of Things Evolutionary Computation Machine Learning Applications Network Protocol Optimization Heuristic Algorithm Development Publication Trends reveal expertise in intrusion detection systems (IDS) for IoT environments, federated learning approaches, and evolutionary algorithm applications. His work spans interdisciplinary domains from dental diagnostics to industrial security. Scientific Contributions include Editorial board memberships (2016-2024) 11+ international conference presentations Key projects: CoCoIDS collaborative IDS framework Development of Electric Fish Optimization algorithm

Ali Cengiz BeğenView profile

Professor

• IP Video Systems
• Network Support for Real-Time Media
• Video Transport
• +3 more

Ali Cengiz Beğen is a Professor in the Computer Science Department at Ozyegin University in Istanbul. He is also the founder of Networked Media , a technology consulting firm specializing in IP video systems. His career includes technical leadership roles at Comcast and Cisco , where he developed advanced video delivery solutions. Education: PhD in Electrical and Computer Engineering (Georgia Tech, 2006), BSc in Electrical Engineering (Bilkent University, 2001) Research Interests focus on network support for real-time media , including optimized content encoding, low-latency live streaming, and protocol innovation for IP video. His work bridges academic research with industry standards like ISO/IEC JTC1/SC29 (MPEG/JPEG), where he serves as Head of the Turkish National Body . Current projects explore Media-over-QUIC transport , multi-CDN streaming , and reinforcement learning for adaptive streaming. His scientific contributions include 40+ US patents and publications in IEEE Transactions on Multimedia , IETF RFCs, and ACM SIGMM. Awards highlight his impact: Emmy® Award for Technology and Engineering (2020) ACM SIGMM Test of Time Award (2021) SVTA Industry Fellow (2021) ACM Distinguished Member (2020) IEEE Senior Member (2019) Microsoft Bandwidth Estimation Grand Challenge Runner-up (2021) Professional Service includes IEEE Communications Society Distinguished Lecturer (2016-2020) and keynotes at conferences like IEEE ICME and SVTA Webinars . He actively consults for media-tech companies and law firms on video transport standards.

Arif Tanju ErdemView profile

Professor

• Digital Video Processing
• Computer Graphics
• Computer Vision
• +2 more

Arif Tanju Erdem serves as Professor of Computer Science and Vice Rector for Academic Affairs at Ozyegin University, Istanbul. He joined the university in 2009 after 18 years at Eastman Kodak Research Laboratories and as CTO of Momentum, A.S., a digital media technologies company he co-founded. His leadership roles include Dean of the School of Engineering (2014-2018) and Head of Computer Science Department (2012-2014). His academic credentials feature: Ph.D. in Electrical Engineering, University of Rochester (1990) M.S. in Electrical Engineering, University of Rochester (1988) Dual B.S. degrees in Electrical & Electronics Engineering and Physics, Boğaziçi University (1986) Erdem's research centers on digital video processing and computer graphics with expanding applications in computer vision and machine learning. His foundational work in bispectrum analysis and video compression evolved into modern applications including face recognition systems, augmented reality tracking, and sensor fusion. Current investigations focus on overcoming data labeling challenges in biometric systems and developing robust motion tracking solutions for immersive technologies. Analysis of his recent publications (2012-2023) reveals three dominant research trajectories: (1) Advancements in face recognition using curriculum and semi-supervised learning techniques, (2) Precision sensor fusion for augmented reality through IMU-camera calibration and occlusion handling, and (3) Educational technology innovations through gamified learning systems. His work consistently bridges theoretical signal processing with practical implementations in medical monitoring, entertainment, and education. Professional service highlights include ISO-MPEG committee membership (1991-1998), IEEE Signal Processing Society leadership roles across Rochester, Turkey, and Region 8 chapters, and editorial contributions to Signal Processing: Image Communication. He has organized major conferences including the 3DTV Conference (2011) and IEEE Turkey Signal Processing Conference (2012).

Furkan KıraçView profile

Assistant Professor

• Artificial Intelligence
• Computer Vision
• Machine Learning
• +3 more

Furkan Kıraç is an Assistant Professor in the Computer Science Department at Özyeğin University, specializing in Computer Vision and Machine Learning . He previously served as a Part-Time Instructor at the same university (2012-2013) and as a Research Assistant at Boğaziçi University (2009-2013). Education: PhD in Computer Engineering, Boğaziçi University (2013) MS in Systems and Control Engineering, Boğaziçi University (2002) BS in Mechanical Engineering, Boğaziçi University (2000) His research focuses on real-time hand pose estimation , deep learning , and computer vision applications in industrial automation. Recent publications highlight his work on pedestrian tracking, spatio-temporal mapping, and image processing pipelines for test oracle automation. Notable achievements include founding two computer vision companies ( Proksima and Fortibase ) and receiving awards at SIU conferences (2004, 2005, 2012). He has contributed to projects funded by TÜBİTAK and the Scientific and Technical Research Council of Turkey. Scientific Awards: 3rd place in best demo award (SIU 2012) Best application paper award (SIU 2012) 3rd degree in Turkish National Science Competition (1994, 1995) Gold/Silver/Bronze medals in National Computer Science Olympiads

Vladimir TolstykhView profile

Professor

• Computer Science
• Software Engineering
• Artificial Intelligence
• +3 more

Prof. Dr. Vladimir Tolstykh is a faculty member in the Computer Engineering department at the Faculty of Engineering . His academic profile primarily focuses on core areas of computer science and engineering disciplines.

Vehbi BÖLATView profile

Lecturer

• Computer Engineering
• Artificial Intelligence
• Machine Learning
• +3 more

Vehbi BÖLAT is a Lecturer in the Computer Engineering department at the Faculty of Engineering. He holds a doctoral degree and is actively engaged in academic work, focusing on key areas within computer engineering.

KÜBRA UYARView profile

Lecturer

• Artificial Intelligence
• Computer Vision
• Medical Image Analysis
• +2 more

KÜBRA UYAR is a Lecturer at Alanya Alaaddin Keykubat University's Rafet Kayış Faculty of Engineering, Department of Computer Engineering. She previously worked as a Research Assistant at Selçuk University's Faculty of Technology (2022-2023) and continues her academic contributions in image processing and artificial intelligence. PhD in Computer Engineering (2022), Selçuk University MSc in Computer Engineering (2017), Selçuk University BSc in Computer Engineering (2014), Melikşah University Double Major in Mathematics (2014), Melikşah University Her research focuses on Artificial Intelligence , Computer Vision , and Medical Image Analysis , with a strong emphasis on Machine Learning and Image Processing . Current work includes developing explainable AI models for retinopathy diagnosis and optimizing CNN architectures for biomedical applications. Recent publications highlight trends in Deep Learning for agriculture (chestnut classification), Medical Imaging (retinopathy, leukocyte detection), and Optimization (CNN hyperparameters, B-spline algorithms). Her work bridges Computer Science with Healthcare and Industrial Applications . Key projects include the Data-Intensive and Computer Vision Research Laboratory Infrastructure Project (2020-2021) and the Selçuk University Weather Monitoring System (2018-2020), both funded by higher education institutions.

ENİS ARSLANView profile

Assistant Professor

• Natural Language Processing
• Image Processing
• Artificial Intelligence
• +4 more

ENİS ARSLAN is an Assistant Professor at the Department of Computer Engineering, Faculty of Engineering, Çanakkale Onsekiz Mart University. His research spans Natural Language Processing, Image Processing, Artificial Intelligence, and Remote Sensing. Ph.D. in Computer Engineering from Çukurova University (2020) Master's in Computer and Information Sciences from Doğuş University (2013) Master's in Business Administration from Beykent University (2009) B.Sc. in Computer Engineering from Yıldız Technical University (2001) His work focuses on UAV-based 3D documentation of cultural heritage, flood mapping with machine learning, and Turkish morphological disambiguation. He has contributed to journals like ACM Transactions on Asian and Low-Resource Language Information Processing and Environmental Monitoring and Assessment . His projects include Tübitak-funded initiatives on smart tracking systems and UAV applications in geospatial analysis. He has taught courses in software development and computational linguistics.

• Biomedical
• Biophotonics
• Image Processing
• +2 more

Şeyma Yektar serves as a Researcher at Uskudar University, teaching undergraduate computer science courses including Data Structures and Software Engineering to over 150 students per course while actively participating in university governance through seven administrative commissions such as the Bologna Commission and Accreditation Reporting committees. She earned her BSc in Biomedical Engineering from Yıldız Technical University (2022) and is currently completing her MSc in the same discipline at Boğaziçi University, having graduated from Sakarya Science High School in 2017. Her research integrates computational methods with biomedical applications, specializing in Biophotonics, Medical Imaging, and Machine Learning for diagnostic innovation. Current projects involve genetic variant analysis and nanoparticle-based photothermal therapy development. Recent publications reveal a strong interdisciplinary trajectory, combining computational biology with nanomedicine to address challenges in genetic disorder diagnostics and cancer treatment technologies through both in silico modeling and experimental approaches.

• Machine Learning
• Artificial Intelligence
• Natural Language Processing
• +3 more

Mehmet Salih KURT is a Lecturer in the Department of Computer Software within the Faculty of Engineering at Hakkari University. His academic work focuses on machine learning applications in natural language processing, web technologies, and healthcare diagnostics. Hakkari University, Faculty of Engineering, Department of Computer Software Research Interests : Dr. KURT's research spans Artificial Intelligence with emphasis on Text Classification , Deep Learning for web content analysis, and Machine Learning in medical diagnosis. His work addresses societal challenges like hate speech detection and health informatics. Publication Trends : Recent publications demonstrate expertise in applying Support Vector Machines and Neural Networks to multidisciplinary problems, including social media moderation and diabetes prediction. Common themes include algorithm optimization and real-world implementation. Contact : Email: mehmetsalihkurt@hakkari.edu.tr Phone: +90 (438) 212-12-12 | Internal: 6132

Nejat YUMUŞAKView profile

Professor

• Artificial Intelligence
• Machine Learning
• Bioinformatics
• +5 more

Prof. Nejat YUMUŞAK is a full Professor in the Department of Computer Engineering at Sakarya University's Faculty of Computer and Information Sciences, where he has built his academic career since 1995. His progression includes roles as Research Assistant (1993-1998), Assistant Professor (1998-2004), Associate Professor (2005-2011), and Professor (2011-present). Education PhD in Electrical-Electronics Engineering, Sakarya University (1995-1998) Thesis: Analysis of Power System Circuit Elements Using Artificial Neural Networks MSc in Electrical-Electronics Engineering, Dumlupinar University (1994-1995) Thesis: Calculation and Measurement of Transformer Parameters at High Frequencies BSc in Electrical-Electronics Engineering, Istanbul Technical University (1989-1993) Research Focus Prof. YUMUŞAK's research integrates artificial intelligence with multidisciplinary applications. Primary domains include: Bioinformatics & Medical AI : Developing deep learning models for COVID-19 mutation prediction, leukemia classification via blood smear analysis, and gastrointestinal anomaly detection using endoscopic data. Signal Processing & Security : Advancing acoustic event detection for security systems and vulnerability testing through intelligent fuzzing techniques. Optimization & Industrial Applications : Creating metaheuristic algorithms (e.g., enhanced Wild Horse Optimizer) for energy efficiency and Industry 4.0 digitalization. Publication Trends His recent articles (2022-2025) demonstrate strong emphasis on transformer architectures for virology, ensemble methods for medical diagnostics, and CNN/LSTM networks for genomic and acoustic data analysis. Over 50% of recent works focus on healthcare applications, particularly cancer and pandemic-related prediction models. Contact & Recognition Contact via nyumusak@sakarya.edu.tr or phone (0264) 264 58 94. His work has received 793 citations (Web of Science) with an H-index of 14.