جست‌وجوی استاد و پژوهشگر

Erhun Kundakcıoğluمشاهده پروفایل

استاد

• Combinatorial Optimization
• Decision Analytics
• Supply Chain Management
• +۹ مورد دیگر

Erhun Kundakcıoğlu is a Professor in the Department of Industrial Engineering at Ozyegin University's Faculty of Engineering. He received his Ph.D. in Industrial and Systems Engineering from the University of Florida (2009) with a minor in Computer and Information Science and Engineering, following an M.S. in Industrial Engineering at Sabancı University (2004) and B.S. at Bilkent University (2002). He served as Assistant Professor at University of Houston (2009-2013) and Director/Distinguished Scientist at Optym (2019-2021). Ph.D.: Industrial and Systems Engineering, University of Florida (2009) M.S.: Industrial Engineering, Sabancı University (2004) B.S.: Industrial Engineering, Bilkent University (2002) His research focuses on combinatorial optimization and decision making under uncertainty , with applications in healthcare analytics , sustainable energy systems , supply chain management , and data science . He has developed optimization models for inventory control, lot sizing, and routing problems under uncertain demand/supply conditions, particularly in healthcare and humanitarian contexts. His work with the Datart Lab integrates mathematical programming into practical solutions for industry partners. Recent publications highlight his expertise in disaster relief inventory simulation, healthcare inventory management, and time series decomposition optimization. He supervises active graduate students including Deniz N. Yoltay (Ph.D.) and Buket İpek Akbal (M.S.). Early Career Award, TUBITAK Teaching Excellence Award, University of Houston Florida Chapter Scholarship, HIMSS Foundation As Associate Editor for the Journal of Global Optimization , Optimization Letters , and SN Operations Research Forum , he contributes to academic discourse in optimization and analytics. His consulting firm Datart R&D Management Consulting bridges academic research with industry applications in Turkey and abroad.

• Phytopathology
• Wheat Rust Diseases
• Fungal Plant Pathogens
• +۳ مورد دیگر

Assoc. Prof. Dr. Kadir AKAN is a full-time faculty member at Kırşehir Ahi Evran University's Faculty of Agriculture, Department of Plant Protection. His primary research focuses on phytopathology, with emphasis on wheat rust diseases (yellow rust, leaf rust), fungal pathogen management, and disease resistance breeding in cereals. He utilizes advanced techniques like hyperspectral imaging for disease monitoring and leads sustainable wheat production projects. Education includes: PhD in Plant Protection, Ankara University (2011) MSc in Plant Protection, Ankara University (2004) BSc in Plant Protection, Ankara University (1999) His research bridges traditional pathology with precision agriculture technologies. Recent publications (2023-2025) demonstrate strong focus on: Hyperspectral remote sensing for rust disease detection Nutrient-pathogen interactions (iron/zinc effects on rust severity) Genetic diversity assessments in crops Virulence monitoring of Puccinia pathogens He actively advises graduate students with 11 current advisees working on disease resistance, weed management, and molecular diagnostics. As project leader, he coordinates 46 research initiatives including TÜBİTAK-funded programs on fungal disease management in wheat. He also serves as Bologna/Erasmus coordinator, enhancing international academic integration.

ENİS ARSLANمشاهده پروفایل

استادیار

• Natural Language Processing
• Image Processing
• Artificial Intelligence
• +۴ مورد دیگر

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.

• Industrial Engineering
• Operations Research
• Supply Chain Management
• +۳ مورد دیگر

Durdu Hakan Utku is an Associate Professor in the Department of Industrial Engineering at Ankara Yildirim Beyazit University. His research focuses on optimization techniques, supply chain management, and ergonomic design across diverse industries. Key Research Areas : Inventory optimization, production scheduling, energy systems, and hazardous waste management. Methodologies : Mixed-integer programming, simulation modeling, and stochastic approaches using tools like GAMS and ARENA. Publication Trends : Recent works emphasize mathematical models for minimizing logistics costs, ergonomic improvements in educational facilities, and multi-modal supply chain strategies for natural gas. Keywords include industrial engineering, operations research, and environmental sustainability. Collaborations : Co-authored studies with researchers like Fatih Kasimoğlu and Betül Soyöz, applying optimization frameworks to real-world problems in Turkey.

ÖZGÜR GÖLGEمشاهده پروفایل

استاد

• Food Safety
• Food Microbiology
• Milk and Dairy Products Technology
• +۶ مورد دیگر

Özgür Gölge is a Professor at the Department of Gastronomy and Culinary Arts, Faculty of Tourism, Alanya Alaaddin Keykubat University. With a career spanning over two decades, he has held academic positions including Associate Professor (2019–2024) and Doctor Lecturer (2017–2019) at the same institution. Education includes a Doctorate in Food Engineering from Çukurova University (2009–2003), Master's in Food Engineering (2002–1998), and Bachelor's in Food Engineering (1997–1993). His research focuses on Pesticide residue analysis in fruits, vegetables, and dairy Mycotoxin monitoring in cereals and traditional foods Development of QuEChERS and chromatographic methods Food safety in tourism businesses Hygiene practices in culinary operations Recent publications highlight trends in Pesticide contamination in baby foods (2025) Multi-residue detection in apples and mandarins (2023–2024) Mycotoxin exposure through bread and rice (2016) Non-thermal treatment effects on juice safety (2020) Scientific achievements include Second Place in 2023 Social Sciences Academic Achievement Award Leadership in national projects on maximum residue limits (2006–2011) TÜBİTAK and DPT-funded research Administrative roles encompass Erasmus Coordinator (2022–present) Head of Department (2019–2022) Vocational School Director (2019–2022)

• Air Pollution Control
• Biogas Purification
• Water and Wastewater Treatment
• +۳ مورد دیگر

Dr. Yağmur Meltem Aydın Kızılkaya serves as an Assistant Professor in the Department of Environmental Engineering within the Faculty of Engineering at Pamukkale University, Denizli, Turkey. Her teaching portfolio includes undergraduate courses such as Occupational Health and Safety, Statistics, Environmental Microbiology Lab, and Disinfection Technologies, alongside postgraduate courses in Sustainable Textile Production and Waste Management and Climate Change and Sustainable Management. Her research spans air pollution control, biogas purification, water and wastewater treatment, textile waste management, and nanotechnology applications. Notable projects involve adsorptive removal of siloxanes from biogas, ozone-based eco-friendly bleaching of hemp fiber, and comprehensive studies on biogenic volatile organic compound emissions from Turkish forest ecosystems. Analysis of her 8 journal articles (2013-2023) reveals a consistent emphasis on sustainable environmental technologies. Her work integrates chemical engineering principles with environmental challenges, particularly targeting industrial waste streams in textiles and biogas production, while contributing to national emission inventories for air quality management. Dr. Aydın Kızılkaya has secured multiple research grants, including as Executive of a TÜBİTAK 1002 project (2019-2021) on siloxane removal and as Researcher in several Pamukkale University BAP projects (2018-2023) focusing on lithium recovery from geothermal waters and sustainable textile fiber processing. Although student advisement is not documented in the provided text, her active grant involvement underscores her research leadership.

Burcu ÇARKLI YAVUZمشاهده پروفایل

استادیار

• Data Mining
• Bioinformatics
• Artificial Intelligence
• +۳ مورد دیگر

Burcu ÇARKLI YAVUZ serves as an Assistant Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Information Systems Engineering. Her academic career spans over a decade with continuous contributions since 2013, including current administrative roles as Dean's Assistant (2023-2024) and Department Vice Chair (2021-2023). Education: PhD in Computer and Information Engineering (2019), Sakarya University - Thesis: 'Hemoglobin Protein Secondary Structure Prediction by Improved Clonal Selection Algorithm' MS in Computer and Information Engineering (2010), Sakarya University - Thesis: 'A Data Mining Application with Apriori Algorithm in the Healthcare Sector' BSc in Mathematics-Computer Programming (2005), Istanbul Cultural University Her research integrates artificial intelligence with critical applications across healthcare and renewable energy. Specializing in data mining and bioinformatics, she develops novel algorithms for protein structure prediction, medical diagnostics, and photovoltaic system optimization. Current work focuses on Marine Predators Algorithm applications for perinatal mental health screening and adaptive MPPT techniques for solar energy systems, demonstrating interdisciplinary impact from biomedical engineering to climate change mitigation. Publication analysis reveals three dominant research thrusts: (1) AI-driven healthcare solutions (depression/anxiety detection, diabetes diagnosis), (2) Photovoltaic optimization (MPPT algorithms, flicker analysis), and (3) Bioinformatics (protein structure prediction using clonal selection). Her work consistently bridges theoretical algorithm development with practical implementations, evidenced by industry collaborations like the 2023 'Electric Vehicle Regulation-Compliant Sound Alert Systems' project. Teaching responsibilities include graduate and undergraduate courses in Deep Learning, Python Programming, Operations Research, and Introduction to AI. She has supervised numerous graduation projects and taught specialized courses like 'Big Data Technologies' in collaboration with Havelsan. Her editorial service for IEEE Access (2018-2020) and conference organization roles demonstrate academic leadership beyond teaching and research.

Tuğrul TAŞCIمشاهده پروفایل

استادیار

• Artificial Intelligence
• Natural Language Processing
• Computer Vision
• +۳ مورد دیگر

Tuğrul TAŞCI serves as an Assistant Professor in the Department of Information Systems Engineering at Sakarya University's Faculty of Computer and Information Sciences, where he has maintained continuous academic service since 2001. His career progression includes Research Assistant positions across multiple university units before advancing to his current faculty role in 2016. His academic credentials include: Doctorate in Computer and Information Engineering (2014) from Sakarya University Institute of Science, thesis: Real-Time Motion Tracking with Particle Filtering Based on Data Fusing Master's degree in Computer and Information Engineering (2004) with thesis: Design of an Integrated Web-Based Distance Education System Bachelor's degree in Computer Engineering (2001) with thesis: Course Scheduling with Genetic Algorithms Dr. TAŞCI's research centers on Artificial Intelligence applications, particularly Natural Language Processing for Arabic text and Computer Vision . His work integrates particle filtering , data fusion , and optimization algorithms (e.g., Artificial Bee Colony, Firefly) to solve problems in text summarization, motion tracking, and image processing. Recent publications demonstrate expansion into deep learning for industrial defect detection and time series analysis. Analysis of his 2019-2024 publications reveals three dominant research trajectories: (1) Arabic NLP with focus on extractive summarization using PageRank and word embeddings, (2) Computer vision systems for motion tracking and text detection leveraging particle filters and curvature features, and (3) Hybrid optimization techniques applied to diverse domains from emergency management to customer churn prediction. Current academic advising activities and research grant details are not publicly documented in available sources. Similarly, no institutional laboratories or research teams are explicitly associated with his profile in the provided materials.

Abdulaziz Kayaمشاهده پروفایل

دانشیار

• Polymer Science
• Chemical Engineering
• Surface Chemistry
• +۳ مورد دیگر

Associate Professor Abdulaziz Kaya has served at Gaziantep University's Faculty of Engineering in the Department of Metallurgy and Materials Engineering since 2012. He earned his PhD in 2009 from Virginia Polytechnic Institute (USA) after completing undergraduate studies at Koç University (Turkey) from 1997-2002. Research Focus: Polymer Science and Surface Chemistry Adsorption Processes for Dye Removal Hydrogen Generation from Aluminum Waste Polysaccharide Self-Assembly on Cellulose Scientific Contributions: - Authored 11 peer-reviewed articles in journals like Cellulose , Biomacromolecules , and Biomass Conversion and Biorefinery - Published two book chapters on plastic additives (2023) and cellulosic surface modeling (2009) - Led four national research projects, including dye removal technologies and hydrogen production - Supervised four graduate theses on topics including walnut shell biosorbents and hydrogen generation Awards: 2014 First Prize in Protective & Military Textiles (Uludağ Textile Exporters' Association)

Serkan Özbayمشاهده پروفایل

دانشیار

• Electrical and Electronics Engineering
• Signal Processing
• Computer Vision
• +۴ مورد دیگر

Serkan Özbay serves as an Associate Professor in the Department of Electrical and Electronics Engineering at Gaziantep University's Faculty of Engineering, Turkey. With academic appointments since 2003, he progressed from Lecturer to his current position (2024), maintaining continuous affiliation with the institution where he also completed all his degrees. His career demonstrates deep institutional integration and vertical advancement within the same department. His academic credentials were entirely earned at Gaziantep University: Doctorate (2007-2015): Institute of Science, Electrical and Electronic Engineering Master's (2003-2006): Institute of Science, Electrical and Electronics Engineering (Thesis) Licence (1997-2002): Faculty of Engineering, Electrical and Electronics Engineering Özbay's research centers on signal processing and machine learning applications, with significant contributions to computer vision for medical diagnostics (sinus segmentation, lung cancer detection) and security systems (image/video forgery analysis). His work bridges theoretical algorithms with practical implementations in edge computing and biomedical devices, evidenced by projects like real-time fall detection systems and metamaterial antennas. Recent publications show intensified focus on deep learning since 2020, particularly convolutional neural networks for medical imaging and object tracking. His publication trajectory reveals strategic interdisciplinary expansion: early work (2007-2015) concentrated on spectrum sensing and wireless communications, while post-2020 output pivoted toward AI-driven medical applications and digital forensics. Approximately 70% of his 22 publications (2019-2023) involve deep learning implementations, with strong institutional collaboration patterns—85% co-authored with Gaziantep University researchers. Journal publications predominantly appear in Q2-Q4 SCI-indexed engineering journals, while conference papers target international venues in computer vision and biomedical engineering. As an academic advisor, Özbay has supervised 16 graduate theses (1 PhD, 15 Master's) between 2017-2025, with 11 completed in 2020-2023 alone. Current advisees include students developing Raspberry Pi-based plate recognition systems and real-time fall detection solutions. He additionally mentors 15 undergraduate students in senior design projects annually, as evidenced by 2024 EEE498/499 project meetings. Administrative leadership includes Deputy Head of Department (2016), Erasmus Coordinator (2015-2016), and Institute Board membership (2020-2023).

Serkan Ateşمشاهده پروفایل

دانشیار

• Solid-State Quantum Optics
• Nanophotonics
• Quantum Technology Applications
• +۲ مورد دیگر

Serkan Ateş is an Associate Professor at the Department of Physics, Izmir Institute of Technology, Turkey. He received his undergraduate degree in Physics from the same institution and earned his MSc and PhD in Physics from the University of Stuttgart, Germany. Undergraduate: Physics, Izmir Institute of Technology MSc & PhD: Physics, University of Stuttgart His research focuses on solid-state quantum optics , nanophotonics , and quantum technology applications , particularly leveraging defects in hexagonal boron nitride for quantum key distribution and single-photon emitter studies. His recent work explores polarization dynamics and non-resonant cavity coupling for quantum communication advancements. His publications highlight trends in: Quantum key distribution using 2D materials Single-photon emitter spectroscopy Non-Markovian quantum dynamics Photon statistics in microcavity systems Resonant quantum dot interactions Frequency conversion for quantum networks Notable awards include: Outstanding Young Scientist Award (GEBİP) from Turkish Academy of Sciences (TÜBA) Science Academy Young Scientist (BAGEP) Award

• Stochastic Processes
• Decision Making
• Quality Management

Demet Özgür Ünlüakın is an Assistant Professor at the Faculty of Engineering and Natural Sciences , Işık Üniversitesi , specializing in Industrial Engineering . She holds a Ph.D., Master's, and Bachelor's degree in Industrial Engineering from Boğaziçi Üniversitesi. Education Ph.D. (1997-2007): Boğaziçi Üniversitesi, Fen Bilimleri Enstitüsü/Endüstri Mühendisliği Master's (1995-1997): Boğaziçi Üniversitesi, Fen Bilimleri Enstitüsü/Endüstri Mühendisliği B.S. (1991-1995): Boğaziçi Üniversitesi, Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü Her research focuses include Stochastic Processes , Decision Making , and Quality Management , particularly in the context of maintenance optimization , dynamic Bayesian networks , and multi-component systems . She has supervised several Master's theses at Işık Üniversitesi and Boğaziçi Üniversitesi. Scientific awards are not explicitly mentioned in the provided data. Advised Students ŞİMAL EKİN DEMİRAL (2024 Thesis: Opportunistic maintenance of complex systems using dynamic Bayesian networks) İPEK KIVANÇ (2020 Thesis: Maintenance optimization of multiple component systems using probabilistic graphical models) BUSENUR TÜRKALİ (2020 Thesis: Evaluation of alternative maintenance strategies on a complex system in thermal power systems) AYŞE KARACAÖRENLİ (2019 Thesis: Analysis of different maintenance policies on a multi-component system using dynamic Bayesian networks) MUSTAFA BURAK AKTEL (2018 Thesis: Maintenance policy analysis of gate systems in hydroelectric power plants) MO'TASEM ABUSHANAP (2014 Thesis: Proactive maintenance of thermal power plants under limited observations) UMUT KÜÇÜKDURMAZ (2014 Thesis: Effects of recent IVR applications on call center performance in banking sector) ELİF ANILGAN (2012 Thesis: Statistical analysis and capacity planning of a third-level neonatal unit) Her projects include ICT-enabled Bee Foraging Sites and Beekeeper Routes Optimization and Opportunistic Maintenance using Dynamic Probabilistic Networks . She teaches courses such as Engineering Statistics , Quality Planning and Control , and Stochastic Processes .

• Industrial Engineering
• Stochastic Processes
• Quality Management
• +۱ مورد دیگر

Sonya Javadi is an Assistant Professor in the Department of Industrial Engineering at Işık University 's Faculty of Engineering and Natural Sciences. Her academic work focuses on stochastic processes, quality control, and supply chain management. Fields of Study: Industrial Engineering, Stochastic Processes, Quality Management Teaching: Courses in Stochastic Models, Supply Chain Management, Game Theory, and Network Theory Her research spans stochastic modeling , supply chain logistics , and quality control systems . Recent work includes analyzing pandemic impacts on urban supply chains and developing optimal stopping strategies for inventory management. She has advised students on predictive maintenance simulations and contributes to advancing industrial engineering methodology through control chart innovations.

• Liver Pathology
• Liver Transplantation Pathology
• Hepatopancreatobiliary Pathology
• +۴ مورد دیگر

Ayşe Armutlu, M.D. is an Attending Physician and Specialist in the Department of Pathology at Koç University since 2016. She completed her medical education and pathology residency at Gazi University Faculty of Medicine (2002–2014) and advanced training in liver pathology at Indiana University (2018). Her clinical focus includes Liver Pathology , Hepatopancreatobiliary Pathology , and Uropathology . Medical Doctorate , Gazi University School of Medicine (2002–2009) Medical Pathology Residency , Gazi University Department of Medical Pathology (2009–2014) Observer in Pathology , Indiana University Department of Pathology (2018) Her research spans prostate cancer staging , pancreatic tumor subtyping , and hepatic pathology , with over 20 publications since 2016. Key studies include PSMA PET/CT applications , duct-centric Whipple specimen analysis , and metaplastic pancreatic carcinomas . While no scientific awards are explicitly documented, her work emphasizes imaging-pathology integration and novel diagnostic protocols . She has no known part-time affiliations and no appointments are listed in the scraped data.

Sukru Kitisمشاهده پروفایل

استادیار

• Medical Electronics
• Biomedical Signal Processing
• EEG and ECG Analysis
• +۵ مورد دیگر

Assistant Professor Sukru Kitis is a dedicated academic at Kütahya Dumlupınar University's Simav Faculty of Technology, Department of Electrical-Electronics Engineering. With over 15 years of academic experience, he has progressed from Instructor (2009-2019) to Doctor Lecturer (2019-present), currently serving as Deputy Head of Department since 2022. His academic journey includes a Bachelor's and Master's in Electrical-Electronics Engineering from Niğde University, followed by a PhD from Sakarya University. His educational background includes: 1999-2004: Bachelor's in Electrical-Electronics Engineering, Niğde University 2004-2007: Master's in Electrical-Electronics Engineering, Niğde University 2008-2019: PhD in Electrical-Electronics Engineering, Sakarya University Professor Kitis's research spans two primary domains with significant interdisciplinary connections: biomedical engineering and renewable energy systems. His biomedical work focuses on advanced signal processing techniques for EEG and ECG analysis, novel filter design for medical applications, and increasingly, machine learning approaches to medical diagnostics including thyroid cancer examination, obesity stage detection, and neurological disorder assessment. His energy research centers on geothermal heating system automation, solar energy applications, and innovative vehicle design using alternative energy sources. These research strands converge in his recent work on providing energy for biomedical devices using renewable resources. His publication record demonstrates strategic evolution from circuit design and biomedical instrumentation (2012-2017) toward data-driven healthcare solutions (2018-2025), while maintaining parallel expertise in sustainable energy systems. This dual focus creates unique opportunities for students interested in the intersection of healthcare technology and sustainable engineering. Professor Kitis has received recognition for his scholarly contributions, most notably the Best Paper award in 2017. His research impact extends through: 93 publications including journal articles and conference proceedings 3 major research projects related to forest fire monitoring, electric vehicle design, and geothermal system automation 2 scientific awards including Best Paper 2017 As an educator and mentor, Professor Kitis supervises numerous graduate students working on cutting-edge projects at the intersection of electrical engineering, biomedical applications, and renewable energy. His administrative roles as Department Head (2019-2021) and current Deputy Head of Department demonstrate leadership within his academic community while maintaining active research and teaching responsibilities. His lab environment emphasizes practical application of theoretical concepts, with students working on real-world problems in medical device development, energy system optimization, and data-driven healthcare solutions. The interdisciplinary nature of his research creates a dynamic environment where electrical engineering principles meet medical and environmental challenges.