جست‌وجوی استاد و پژوهشگر

• Machine Theory and Dynamics
• Mechanical Vibrations and Noise
• Mechatronics

Dr. Zeynep Ekicioğlu-Küzeci is an Assistant Professor in the Department of Mechanical Engineering at Kırşehir Ahi Evran University's Faculty of Engineering and Architecture. She holds a PhD from Yıldız Technical University (2020), an MSc from Istanbul Technical University (2011), and a BSc from Kocaeli University (2008). Her academic career includes positions as a Research Assistant at Yıldız Technical University (2009-2013) and Ahi Evran University (2013-2022) before assuming her current role. Research Focus: Her primary research explores three interconnected domains: 1) Machine Theory and Dynamics , focusing on mechanical system behavior; 2) Mechanical Vibrations and Noise , examining damping and control; and 3) Mechatronics , integrating mechanical systems with electronics and control. Her work frequently involves hydro-piezoelectric systems, smart agriculture automation, and energy harvesting technologies. Publication Trends: Her 15 most recent publications (2016-2025) demonstrate evolving research in piezoelectric material applications, vibration analysis in fluid-structure systems, and microcontroller-based agricultural automation. Later works increasingly incorporate renewable energy assessment and AI applications in smart farming. Awards: Department Second Place Award, Kocaeli University (2008) Supervision and Projects: She currently advises Master's student Ayhan Umucu on piezoelectric energy harvesting. Her research leadership includes: Smart Greenhouse Automation with Image Processing (2025-2026, Lead Researcher) Piezoelectric Energy Harvesting Applications (2024-2025, Advisor) Microcontroller-Based Lighting Control in Greenhouses (2022-2023, Lead Researcher)

Mélisande Albertمشاهده پروفایل

دانشیار

• Non-parametric tests of independence
• Resampling methods
• Point processes
• +۶ مورد دیگر

Mélisande Albert is an Associate Professor in Mathematics at INSA Toulouse, working in the Department of Mathematical Engineering and Modeling (GMM). She is also a member of the Toulouse Institute of Mathematics (IMT) at Paul Sabatier University (UPS). Her educational background includes: PhD in Mathematics from University of Nice Sophia Antipolis (2015), with thesis titled "Tests of independence by bootstrap and permutation: an asymptotic and non-asymptotic study. Application to Neurosciences" Master's degree in Mathematics, specialization Research (2012) Admission to the External Agrégation of Mathematics (2011, rank: 47/288) Bachelor's degree in Mathematics from University of Nice Sophia Antipolis (2009) Dr. Albert's research focuses on developing and analyzing statistical methods for independence testing and resampling techniques. Her work bridges theoretical statistics with practical applications, particularly in neuroscience. She investigates non-parametric tests of independence using bootstrap and permutation approaches, studies concentration inequalities for randomly permuted sums, and applies these methods to analyze spike train data in neuroscience to detect neural synchrony. Her research spans from theoretical foundations to practical implementations, with contributions to both statistical theory and neuroscience applications. Her scientific achievements include: Marie-Jeanne Laurent-Duhamel Award from the French Society of Statistics (SFdS) for her doctoral thesis Dr. Albert serves as a reviewer for the Journal of Machine Learning Research and Computation Statistics and Data Analysis. She has supervised student projects at INSA Toulouse and has been involved in the ANR Project SansSouci (2018-2020). She is an elected member of the French Statistical Society Mathematical Statistics group committee. She is an active member of the Statistics and Optimization team and the Mathematics and Biology research group at the Institute of Mathematics of Toulouse (IMT). She has co-organized several scientific events including the weekly Statistical Seminar at IMT (2018-2022), the Journées de Statistique Mathématique at the Henri Poincaré Institute in Paris (2018), and the "Post-selection inference and multiple testing" Workshop in Toulouse (2018).

• Physiotherapy
• Rehabilitation
• Musculoskeletal Disorders
• +۴ مورد دیگر

Dr. Lecturer Mehmet CANLI is a full-time academic at Kırşehir Ahi Evran University , affiliated with the School of Physical Therapy and Rehabilitation and Department of Physiotherapy and Rehabilitation . His research focuses on musculoskeletal disorders, chronic pain management, and machine learning applications in rehabilitation, with significant contributions to assessment tools like the K-Force® Grip Dynamometer and Modified Four Square Step Test. PhD in Physiotherapy and Rehabilitation (2025, Kırşehir Ahi Evran University) MSc in Physiotherapy and Rehabilitation (2021, Kırşehir Ahi Evran University) BSc in Physiotherapy and Rehabilitation (2018, Kırşehir Ahi Evran University) His work bridges clinical practice with data-driven approaches, particularly in carpal tunnel syndrome, scoliosis, and geriatric balance improvement. Recent articles emphasize validity/reliability of diagnostic tools and predictive modeling via machine learning. Scientific Awards 2024 Young Scientist Award (1st), Kırşehir Ahi Evran University 2023 Young Scientist Award (1st), Kırşehir Ahi Evran University 2022 Young Scientist Award (3rd), Kırşehir Ahi Evran University Collaborates extensively with researchers like İsmail Ceylan and Şafak Kuzu , contributing to 94 publications with 58 citations. He teaches courses including Clinical Application V and Geriatric Rehabilitation .

• Integrated Water Management
• Agricultural Water Efficiency
• Climate Change Impact on Water Resources
• +۵ مورد دیگر

Prof. Dr. Yeşim AHİ is a distinguished academic at Ankara University Water Management Institute and Tekirdağ Namık Kemal University Faculty of Agriculture , specializing in Integrated Water Management , Agricultural Water Efficiency , and Climate Change Impact on Water Resources . She has held faculty positions since 2000, including Professor (2017-2024) and Associate Professor (2007-2013). Education : PhD, Master’s, and Bachelor’s in Agricultural Structures and Irrigation from Trakya University and Ankara University Her research focuses on Artificial Intelligence in Agricultural Water Management , Treated Wastewater in Agriculture , and Plant-Water-Soil-Atmosphere Relations . Recent work includes AI-based reservoir evaporation forecasting and wastewater reuse analysis in Mediterranean agriculture. She has published extensively on irrigation systems, water productivity, and climate change adaptation. Dr. Ahi’s scientific awards include the ERASMUS-Hungary Postgraduate Teaching Scholarship (2009) , Tekirdağ Governorship Certificate of Appreciation (2008) , and the Namık Kemal Academic Performance Award (2007) . She has supervised 14 PhD and Master’s theses and participated in 15+ international projects, including EU Interreg Next Med’s TAMIRAG and TÜBİTAK initiatives. She leads the Life Cycle Analysis Training Program on Water Management (2022) and serves on scientific committees for conferences like the European Water Resources Association (EWRA) World Congresses . Her teaching contributions span courses on Water Efficiency , Irrigation Technologies , and Plant-Water-Soil Relations .

• Hydrological Modeling
• Statistical Hydrology
• Hydroclimatology
• +۶ مورد دیگر

Assoc. Prof. Dr. Alper Serdar Anli is an academic at Ankara University, Faculty of Agriculture, Department of Agricultural Structures and Irrigation. His career spans over two decades, including roles as Research Assistant (2002–) and Vice Dean of the Faculty of Agriculture (2020–2023). His research focuses on hydrological modeling, drought and flood analysis, agrometeorology, and sustainable irrigation systems. Doctorate: Ankara University (2009) - Regional Frequency Analysis of Rainfall Using L-Moments Master's: Ankara University (2003) - Hydrological Drought via SPEI Bachelor's: Ankara University (2000) - Agricultural Structures and Irrigation Dr. Anli’s research explores climate change impacts on water resources, hydrological drought risk modeling, and innovative irrigation techniques. His work integrates statistical hydrology (L-moments, SPEI, RDI) with GIS and data mining for regional climate analysis. He has contributed to drought prediction frameworks and sustainable agricultural water use in semi-arid regions. His recent publications address flood frequency analysis in Susurluk Basin (2025), climate-resilient irrigation practices (2024), and regional drought modeling using SPEI (2023). Scholarships from MASHAV (Israel) and ICTP (Italy) supported his international training. He has supervised postgraduate theses on drought indices and water management. MASHAV Scholarship (2005) Abdus Salam ICTP Scholarship (2008) Dr. Anli’s managerial roles include Vice Director of Water Management Institute (2018–) and leadership positions in his department and faculty. His interdisciplinary work bridges agricultural engineering, hydroclimatology, and sustainable development goals.

• Environmental Engineering
• Water Resources Management
• Climate Change
• +۳ مورد دیگر

ÇİGGDEM COŞKUN DİLCAN serves as a Lecturer in the Department of Water Management at Ankara University's Institute of Water Management since 2013, specializing in environmental engineering with a focus on water-energy-climate interdependencies and artificial intelligence applications for sustainable resource management. Her academic qualifications include: Doctorate in Environmental Engineering from Hacettepe University (2015-2023) Postgraduate degree in Environmental Engineering from Dokuz Eylul University (2009-2012) Undergraduate degree in Environmental Engineering from Dokuz Eylul University (2004-2009) Dr. Dilcan's research centers on Environmental Engineering and Water Resources Management, with particular expertise in Climate Change adaptation, Artificial Intelligence modeling, and Sustainable Resource Management within the water-energy-climate nexus. Her work develops innovative computational approaches for forecasting reservoir evaporation, optimizing water consumption in energy systems, and assessing water quality under changing climatic conditions, contributing significantly to sustainable water governance frameworks. Analysis of her 15 most recent publications (2017-2025) reveals a consistent research trajectory focused on nexus modeling, where she pioneers artificial intelligence applications—particularly neural networks—for water resources forecasting. Key thematic clusters include climate adaptation in reservoir management (6 publications), water-energy interdependencies in power generation (4 publications), water quality assessment methodologies (3 publications), and infrastructure efficiency in distribution networks (2 publications), demonstrating increasing integration of machine learning techniques across environmental domains. Her scientific recognition includes: Tübitak Ubyt Publication Incentive Award (2023) for high-impact reservoir evaporation research Nexusnet Cost Action Conference Grant Award (2023) for thermal powerplant water consumption methodology Dr. Dilcan actively contributes to research funding initiatives as a key participant in TÜBİTAK projects including wastewater rehabilitation for rice farming (2022-2025) and Water Risks Research Projects (2022-2023), while maintaining rigorous peer review service for journals like Water Resources Management. She currently engages with the Nexusnet Excellentia Community (2024-2025), advancing international collaboration on water-energy-land-food systems under climatic instability. Her professional activities extend to conference organization, including scientific committee participation in the 1st International Engineering-Natural Sciences and Health Technologies Conference (MDST2024), reflecting her growing leadership in interdisciplinary environmental research communities.

Mehtap Aralمشاهده پروفایل

مدرس

• Translation Studies
• Interpreting
• Court Interpreting
• +۷ مورد دیگر

Mehtap Aral is a Lecturer at the Department of Western Languages and Literatures, affiliated with the Faculty of Humanities and Social Sciences. Her research focuses on translation and interpreting, particularly in the intersections of artificial intelligence, emotional intelligence, court interpreting, and migration-related language services.

ADNAN AKTEPEمشاهده پروفایل

استاد

• Industrial Engineering
• Data Mining
• Machine Learning
• +۵ مورد دیگر

Adnan AKTEPE is a Professor at Kırıkkale University, Faculty of Engineering and Natural Sciences, Department of Industrial Engineering. He holds a PhD in Industrial Engineering from Gazi University and has been affiliated with Kırıkkale University since 2009. His research focuses on data-driven industrial systems, integrating machine learning, fuzzy logic, and structural equation modeling. BSc in Industrial Engineering, Marmara University (2007) MSc in Industrial Engineering, Kırıkkale University (2011) PhD in Industrial Engineering, Gazi University (2015) His work bridges digital technologies (e.g., blockchain, AI) with industrial and service quality optimization. Recent publications emphasize predictive maintenance, customer segmentation, and fuzzy logic applications in manufacturing and healthcare. Articles highlight cross-disciplinary approaches combining operational efficiency, data mining, and smart systems. Scientific contributions include methodological frameworks for service performance indices, lean manufacturing analysis, and reinforcement learning in scheduling. Awards and professional roles are mentioned but unspecified in the source text.

• Information Philosophy
• Ethics
• Artificial Intelligence Ethics
• +۵ مورد دیگر

Nesibe KANTAR is a Lecturer at the Faculty of Arts and Sciences, Kırşehir Ahi Evran University, Turkey, with postdoctoral experience at De Montfort University (UK, 2023). Her academic journey includes a PhD in Philosophy (Ankara Yıldırım Beyazıt University, 2018-2021), a Master's in Management Information Systems (Hoca Ahmet Yesevi University, 2010-2011), and a Bachelor's in Management Information Systems (2005-2009). Research Interests : Information Philosophy, Ethics, 21st/20th Century Philosophy, AI Ethics, Cybernetics. Her recent publications in Information Philosophy focus on ethical frameworks for AI, societal impacts of information technology, and philosophical foundations of cybernetic systems. Key themes include Flourishing Ethics, epistemological challenges in AI, and reconciling ethical theories for digital governance. She explores the redefinition of human nature in the information age and techno-ethical intersections in Islamic philosophy. Awards : Best PhD Thesis Award (2022) from the Turkish Philosophy Association. She contributes to academic editing, serving as an editor for Yapay Zekâ Felsefesi Üzerine Güncel Tartışmalar (2025). Her professional roles include teaching courses on AI Philosophy, Ethics, and History of Philosophy at both undergraduate and graduate levels.

• Condensed Matter Physics
• Material Physics
• Renewable Energy

Prof. Dr. Osman ÖRNEK is a faculty member at the Faculty of Engineering and Architecture of Kırşehir Ahi Evran University , where he has served as a Professor since 2025. Previously, he held roles including Associate Professor (2019–2025) and Assistant Professor (2013–2019) at the same institution. His academic journey includes a PhD in Physics from Gebze Institute of Technology (2008–2012), an MSc in Physics from Dumlupınar University (1994–1996), and a BA in Mathematics and Science Education from Atatürk University (1983–1987). Research Interests : ÖRNEK specializes in Condensed Matter Physics , Material Physics , and Renewable Energy . His work focuses on theoretical and computational investigations of structural, electronic, elastic, and thermodynamic properties of advanced materials such as Heusler alloys, perovskites, and hydrogen storage compounds. Key areas include density functional theory (DFT) , ab initio simulations , and material stability under extreme conditions . Publication Trends : His recent studies analyze materials for hydrogen storage (LiBH4, Li(BH)3), solar cell applications (TiO2 thin films), and spintronic devices (CsYO3 perovskite). He explores Heusler alloys (MgVPt2, Mn2Cr1−xVxSi) and anti-perovskite compounds (LaZrO3) using computational methods to predict properties like elastic constants , phonon spectra , and electronic band structures . Scientific Awards : Taktir (2007) - Sakarya University Academic Leadership : ÖRNEK supervised 10 master’s theses on topics ranging from hydrogen storage materials to Heusler alloys . He contributed to projects such as Metal Doped TiO2 Thin Films for Organic Solar Cells and Ab Initio Study of Ir3Ta Alloys . He co-edited international books including Physics in International Research (2024) and Renewable Energy Materials (2023).

• Alloy Development
• Biomaterials
• Casting Technologies
• +۳ مورد دیگر

Sercan BASİT is an Assistant Professor at Kırşehir Ahi Evran University's Faculty of Engineering and Architecture, Department of Mechanical Engineering. He holds a PhD in Metallurgical and Materials Engineering from Yıldız Technical University (2020) and has been active in research areas such as alloy development, biomaterials, and casting technologies. Education: BSc: Metallurgical and Materials Engineering, Yıldız Technical University (2012) MSc: Production, Yıldız Technical University (2015) PhD: Production, Yıldız Technical University (2020) His research focuses on biodegradable metallic materials, solidification processes, and sustainable recycling technologies. He leads national and international projects in these domains and is a member of the BIOMATAM research group at Yıldız Technical University. His recent publications explore the role of static electrical fields in eutectic alloy solidification, biodegradable zinc-based alloys for biomedical applications, and data-driven methods for copper recovery. These works span materials science, solidification physics, and sustainable metallurgy. Scientific Awards: Best Paper Award (2023), The Academy of Romanian Scientists He has advised multiple Master's students and contributed to projects funded by TUBITAK and university initiatives. His work bridges fundamental solidification studies with applied research in additive manufacturing and eco-friendly material recovery.

• Electromagnetic
• Microwave and Antenna Technologies
• Artificial Intelligence
• +۱ مورد دیگر

Erhan KURT is a Lecturer at the Faculty of Engineering and Architecture , Kırşehir Ahi Evran University , since 2024. Previously, he worked as a Research Assistant at Nuh Naci Yazgan University from 2012 to 2024. PhD in Electrical and Electronics Engineering, Erciyes University (2023) MSc in Electronic Engineering, Erciyes University (2014) BSc in Electrical and Electronics Engineering, Erciyes University (2011) His research focuses on Electromagnetic Field Analysis , Microwave Engineering , and Artificial Intelligence Applications in antenna design. He has contributed to optimization algorithms for antenna array synthesis, sidelobe suppression, and pattern nulling. A review of his 15 most recent articles reveals trends in Antenna Array Optimization using bio-inspired algorithms (e.g., Ant Lion, Salp Swarm, Differential Evolution) and applications of AI in microwave engineering. Key subfields include Computational Electromagnetics , Beamforming , and Algorithmic Antenna Design . He has collaborated extensively with researchers such as Kerim Güney , Suad Başbuğ , and Mustafa Türkmen on interdisciplinary projects involving signal processing and antenna systems.

• Plant Morphology and Anatomy
• Plant Systematics
• Genetics
• +۵ مورد دیگر

Prof. Dr. Hakan Sepet is a faculty member at Kırşehir Ahi Evran University, Faculty of Engineering and Architecture, Department of Environmental Engineering, since 2024. He previously held academic roles at Ahi Evran University from 2013 to 2024, including Associate Professor (2018) and Assistant Professor (2013). His educational background includes a Ph.D. in Biology from Celâl Bayar University (2012), an MSc in Botany from Fırat University (2007), and a BSc in Biology from Fırat University (2003). Education : Ph.D. in Biology, Celâl Bayar University (2012) MSc in Botany, Fırat University (2007) BSc in Biology, Fırat University (2003) Research Interests : Hakan Sepet specializes in plant morphology, anatomy, systematics, genetics, and ecology. His work focuses on cytogenetic effects of heavy metals (e.g., cadmium, lead, uranium) on plant species like Lens culinaris , Triticum aestivum , and Vicia faba . He also explores machine learning applications in plant taxonomy, drone-based ecological monitoring, and environmental stress impacts on plant cells. His recent projects include analyzing tree crown detection via computer vision and studying antimicrobial properties of shape-memory alloys. Article Trends : His publications emphasize plant cytogenetics, environmental toxicology, and computational methods in ecological research. Key themes include heavy metal stress, chromosome analysis, machine learning integration, and drone technology for ecological surveys. Thesis Supervision : He has supervised multiple Master's theses on topics like plant morphology (e.g., Phlomis species), environmental stress analysis, and microbial interactions in plant systems.

• Signal Processing
• Machine Learning
• Communication
• +۳ مورد دیگر

Memduh KÖSE is a Lecturer in the Department of Electrical-Electronics Engineering at the Faculty of Engineering and Architecture, Kirsehir Ahi Evran University, Turkey. He has been working there since 2019 as a full-time faculty member after previously holding positions at Ahi Evran University's Computer Science Application and Research Center and Ankara University's Faculty of Engineering. His academic background includes: PhD in Electrical and Electronics Engineering from Ankara University (2019) Master's degree in Electrical and Electronics Engineering from Ankara University (2000) BSc in Electronics Engineering from Ankara University (1996) Dr. KÖSE's research spans multiple interdisciplinary areas at the intersection of signal processing, machine learning, and communication technologies. His work demonstrates a strong focus on practical applications of theoretical concepts, particularly in RF fingerprinting for wireless device identification and electronic nose systems for food quality assessment. He has made significant contributions to transient signal analysis, change point detection, and the application of machine learning techniques to solve real-world problems in food safety and wireless security. His research methodology often combines hardware implementation (frequently using Arduino platforms) with advanced data analysis techniques. His publication record shows a clear evolution from foundational work in signal processing and wireless communication toward increasingly applied research with direct industrial and consumer applications, particularly in food quality assessment systems. Recent publications (2024-2025) demonstrate a strong emphasis on machine learning applications for food safety, including electronic nose systems for chicken eggs, essential oils, stuffed mussels, and anchovies. Dr. KÖSE has successfully supervised five master's students, with thesis topics ranging from deep learning applications to security systems using facial recognition. He has been involved in seven research projects funded by higher education institutions and TÜBİTAK, focusing on Arduino-based sensor systems for food quality assessment, water quality monitoring, and IoT security. His teaching portfolio includes courses on probability and statistics, circuit analysis, and modeling and simulation methods, demonstrating both theoretical and practical expertise across the electrical and electronics engineering curriculum.

• Hydrobiology
• Limnology

Okan Yazicioğlu is an Associate Professor at the Vocational School of Technical Sciences , Kırşehir Ahi Evran University , Turkey. He holds a PhD in Biology from Ondokuz Mayıs University (2014), an MSc in Biology from Gazi University (2006), and a BA in Biology from Ondokuz Mayıs University (2002). Education: PhD: Biology, Ondokuz Mayıs University, 2008-2014 MSc: Biology (Thesis), Gazi University, 2003-2006 BA: Biology, Ondokuz Mayıs University, 1998-2002 Research Interests focus on Hydrobiology and Limnology , particularly aquatic ecosystem dynamics, fish biometry, and environmental impact assessments. His recent work examines invasive fish species in reservoirs, skeletal and otolith biometry, and ecological modeling using machine learning. Notable Projects include studies on invasive species in Iskenderun Bay and Hirfanlı Dam Lake, alongside collaborations with researchers like Ramazan Yazıcı and Savas Yılmaz. He has published extensively on topics such as Wels Catfish diet , Pike otolith relationships , and heavy-metal pollution effects .