جست‌وجوی استاد و پژوهشگر

Ahmet Acarمشاهده پروفایل

دانشیار

• Cancer Biology
• Precision Medicine
• Drug Resistance Mechanisms
• +۳ مورد دیگر

Dr. Ahmet Acar is an Associate Professor at the Department of Biological Sciences, Middle East Technical University (METU), Ankara, Turkey. He leads the Cancer Precision Medicine and Drug Resistance Laboratory, focusing on understanding mechanisms of drug resistance in cancer. His research integrates experimental models, next-generation sequencing, and deep learning to address clinical challenges in cancer therapy. Dr. Acar holds a B.Sc. from METU's Biological Sciences department and a Ph.D. from the Cancer Research UK Manchester Institute. He completed postdoctoral training at the Institute of Cancer Research, London, and the University of Manchester. Research Interests: Drug resistance mechanisms, precision oncology, tumor microenvironment modeling, patient-derived organoids, computational pathology, and evolutionary cancer biology. His lab develops 2D/3D co-culture systems, PDO biobanks, and AI-driven histopathology tools to improve treatment strategies. Recent Work Trends: Recent publications emphasize tumor evolution modeling, matrix mechanics in drug resistance, and AI applications in histopathology. Collaborations with hospitals in Turkey and Europe support PDO biobank initiatives. His team explores evolutionary steering strategies to exploit collateral drug sensitivities. Labs/Teams: Precision Medicine and Drug Resistance Lab at METU focuses on interdisciplinary approaches combining wet-lab experiments with computational methods. Current projects include ex vivo tumor modeling and AI-driven diagnostic tools for oncology.

Taner Akbayمشاهده پروفایل

استاد

• Materials Engineering
• Metallurgical Engineering
• Physical Metallurgy
• +۶ مورد دیگر

Prof. Dr. Taner Akbay is a faculty member at Yeditepe University, Faculty of Engineering , Department of Materials Science and Nanotechnology Engineering. He has held academic positions at institutions including Kyushu University, Oita University, and Imperial College London. Education: PhD in Materials Engineering (1993, Imperial College London); Master’s (1989) and Bachelor’s (1986) degrees from Middle East Technical University. His research spans Materials Engineering , Metallurgy , and Solid Oxide Fuel Cells (SOFCs) , with a focus on oxide ion conductivity, laser surface treatment, and phase transformations. Recent work explores photocatalysis , anion intercalation , and CO2 reduction using computational and experimental approaches. Key article trends include SOFC optimization (2004–2009), strain effects on catalysts (2015–2020), and dual-carbon battery technology (2016–2020). His work bridges fundamental metallurgy and advanced energy materials . Scientific Awards: Postdoctoral Research Sponsorship Award (EPSRC, UK) JSPS Fellowship (Japan) Daiwa Adrian Prize (2016, UK) PhD Studentship at Imperial College (European Commission) He has supervised multiple PhD and Master’s theses, including projects on dual-carbon batteries , microwave absorption nanocomposites , and rare earth recovery . Administrative roles include Head of Department (2020–2021). Non-University Experience: Worked with Mitsubishi Materials Corporation (2001), Çolakoğlu Metalurji (2010), and National Research Council Canada (2009).

Umut Aydemirمشاهده پروفایل

دانشیار

• Boron-Based High-Tech Materials
• Laser Crystals
• Materials Displaying Unusual Properties
• +۱۰ مورد دیگر

Umut Aydemir is an Associate Professor at the Department of Chemistry, Koç University , where he also serves as Director of KUBAM (Koç University Boron Application and Research Center) . His research focuses on Boron-Based High-Tech Materials, 2D Materials, Electrocatalysis, Thermoelectric Energy Harvesting , and Hydrogen Storage . PhD in Chemistry (2012), Dresden University of Technology MSc in Materials Science and Engineering (2006), Koç University BSc in Chemistry and Physics (2004), Koç University Umut’s work addresses structure-property relationships in advanced materials, with a particular emphasis on boron-containing compounds , MXenes , and thermoelectric systems . His recent publications highlight innovations in electrocatalytic water splitting , hydrogen storage materials , and sustainable coating technologies . His research trends include: Development of metal diborides for water splitting Engineering MXene/polymer composites for corrosion resistance Novel approaches to thermoelectric materials like MgAgSb and Zintl phases Designing hydrogenated borophene for environmental applications Awarded the 2024 Koç University College of Science Outstanding Faculty Award and 2019 TÜBA Young Scientist Award , Umut leads high-impact projects in materials science. He advises graduate students in Nanocatalysis and Advanced Material Synthesis and contributes to interdisciplinary initiatives at KUBAM.

• Mechanical Engineering
• Finite Element Methods
• Materials Science
• +۷ مورد دیگر

Mine Uysal is a Researcher at Yıldız Technical University, Faculty of Mechanical Engineering, Department of Mechanical Engineering. Her academic journey includes a BSc (2005), MSc (2010), and PhD (2015) in Mechanical Engineering from Pamukkale University and Yıldız Technical University, respectively. She began postdoctoral research at the University of Kentucky (College of Engineering) in 2017. PhD, Mechanical Engineering (2015, Yıldız Technical University) MSc, Mechanical Engineering (2010, Pamukkale University) BSc, Mechanical Engineering (2005, Pamukkale University) Her research focuses on advanced materials behaviors, including functionally graded materials, polymers, adhesively bonded joints, and finite element modeling for engineering systems. Key areas include composite structures, thermal/mechanical loading effects, and sustainable manufacturing techniques like nanofluid-assisted machining. Scientific contributions include 15 recent articles spanning topics such as delamination analysis in bonded beams, sustainable machining optimization, buckling behavior of graded polymers, and fracture mechanics in composite materials. Her work integrates finite element methods with experimental validation for adhesive joints and sandwich structures. Collaborative projects include research funded by The Scientific and Technological Research Council of Turkey (TUBITAK) and international postdoctoral work at the University of Kentucky.

Ozcan Ozturkمشاهده پروفایل

استاد

• Heterogeneous Computing
• Hardware Accelerators
• GPU Computing
• +۷ مورد دیگر

Ozcan Ozturk is a Professor in the Computer Science and Engineering and Electronics Engineering programs at Sabancı University's Faculty of Engineering and Natural Sciences. Previously, he held professorships at Bilkent University and adjunct roles at North Carolina State University. His expertise spans heterogeneous computing, parallel systems, processor architecture, and compiler optimization. He earned his Ph.D. from Penn State University, with prior academic roles at the University of Florida and internships at Intel and Marvell. Education: Ph.D. in Computer Science and Engineering (2007), Pennsylvania State University M.S. in Computer Engineering (2002), University of Florida B.Sc. in Computer Engineering (2000), Bogazici University Research interests include accelerator technologies, GPU-based systems, multicore processors, and compiler optimizations. His work focuses on improving parallelization efficiency, energy optimization, and reliability in heterogeneous architectures. He leads funded projects like 'Machine Learning for Compiler Flags' and 'Graph Accelerator Design'. Notable awards include the Bilkent Teaching Award (2019), BAGEP (2018), and HiPEAC Paper Award (2016). He serves on editorial boards of IEEE and ACM journals and chairs major conferences like ASPLOS and ICS. Grants and collaborations include partnerships with Huawei, Intel, NVIDIA, and TÜBİTAK. He advises over 20 students and has supervised projects in safety-critical systems, FPGA accelerators, and compiler-directed optimizations. His lab develops domain-specific architectures, including RISC-V extensions for graph processing.

• Cybersecurity
• Maritime Sector
• Human Error Probability
• +۳ مورد دیگر

Gizem Kayişoğlu is an Assistant Professor in the Department of Maritime Transportation and Management Engineering at Istanbul Technical University. Her research focuses on cybersecurity challenges in maritime systems, human error probability, and risk assessment methodologies. She actively explores vulnerabilities in shipboard systems such as ECDIS, VDR, and radar while emphasizing regulatory compliance and maritime safety standards. Her work integrates frameworks like CORAS, Fuzzy FUCOM, and SLIM to address cybersecurity dynamics and human factors in maritime operations. Key collaborations involve analyzing ransomware threats, AIS system vulnerabilities, and port infrastructure protection through interdisciplinary approaches. Her articles highlight trends in maritime cybersecurity, including ransomware mitigation, cyber hygiene practices, and critical infrastructure protection. She has contributed to developing risk assessment tools and checklists tailored for maritime environments, emphasizing both technological and human aspects of safety. No scientific awards have been explicitly mentioned. She has not listed formal advisees, and her professional activities focus on advancing maritime cybersecurity through academic and applied research.

• Computational Design
• Architectural Education
• Artificial Intelligence in Architecture
• +۹ مورد دیگر

Assoc. Prof. Dr. Sema Alaçam Doğan has been affiliated with Istanbul Technical University since 2014, serving as an Associate Professor in the Department of Architecture . She has held administrative roles including Deputy Head of Department and Erasmus Coordinator. Education : PhD in Informatics in Architectural Design (2008-2014), MS in Informatics in Architectural Design (2005-2008), and BS in Architecture (1999-2005) from Istanbul Technical University. Her research explores Computational Design , Artificial Intelligence in Architecture , and Sustainable Material Innovation . She investigates digital tools for heritage preservation, daylight optimization in BIM, and cognitive development in architecture students. Recent publications analyze AI-assisted design literacy , machine learning for Sinan mosques , and environmental comfort in Harran houses . Her work integrates algorithmic frameworks with sustainable practices. Scientific awards include multiple ITU Publication and Performance Awards (2021-2024), FABFEST Prizes , and the 2024 Artemis Educator Award from NASA. Active projects like "Physical Computation in Architectural Drawing" and "Robotic Fabrication with Recycled Wind Turbine Blades" demonstrate her leadership in computational and sustainable research.

• Water and Wastewater Treatment
• Environmental Biotechnology
• Adsorption Processes
• +۳ مورد دیگر

Ferhan Çeçen is a Professor at the Institute of Environmental Sciences, Bogazici University, Istanbul, where she has maintained an active research and teaching role since 1999. Her career spans over three decades of contributions to environmental engineering with particular emphasis on advanced water treatment technologies and pollutant behavior in biological systems. Her academic foundation includes: B.S. in Chemical Engineering from Bogazici University (1984) M.S. in Environmental Engineering from Istanbul Technical University (1993) Ph.D. in Environmental Engineering from Istanbul Technical University (1990) Her research program centers on Water and Wastewater Treatment, Environmental Biotechnology, Adsorption Processes, and the Effects of Hazardous Substances on Biological Treatment. She has pioneered investigations into extracellular polymeric substances (EPS) dynamics, nanomaterial impacts on microbial communities, and the integration of adsorption with biological treatment for micropollutant removal. Her work bridges fundamental microbiological mechanisms with practical engineering applications for sustainable water resource management. Analysis of her publication record reveals consistent focus on pharmaceutical biodegradation mechanisms, nanosilver toxicity in activated sludge systems, and granular activated carbon applications for emerging contaminants. Her research demonstrates sophisticated integration of experimental biodegradation studies with predictive modeling frameworks, particularly BIOWIN models, to address complex challenges in modern wastewater treatment. She has secured significant research funding through Bogazici University's Scientific Research Projects Fund (BAP) and TÜBİTAK, directing projects including "Removal of Micropollutants From Drinking Water by Granular Activated Carbon" (2019-present), "Effect of nanosilver on biological treatment systems" (2015-2016), and "Microbial products and metal inhibition in biological systems" (2012-2015), demonstrating sustained leadership in addressing critical water quality challenges.

İbrahim Akdumanمشاهده پروفایل

استاد

• Image Processing
• Communication
• Microwave Imaging
• +۳ مورد دیگر

Prof. Dr. İbrahim Akduman is a Professor at the Department of Electronics and Communication Engineering , Istanbul Technical University , specializing in microwave imaging and biomedical applications. His research spans antenna engineering, dielectric property analysis, and microwave hyperthermia systems.

M. Tolga Akçuraمشاهده پروفایل

استاد

• Marketing Strategy
• Brand Valuation
• Consumer Behavior
• +۷ مورد دیگر

Professor Tolga Akçura is a distinguished faculty member at Özyeğin University's Faculty of Business, Department of Business Administration. With over 25 years of academic experience, he has developed and taught courses on marketing strategy, marketing analytics, and marketing research at prestigious institutions including Carnegie Mellon University, Purdue University, and Long Island University. At Özyeğin University, he teaches Marketing Strategy, Integrated Marketing Communication Strategies, Innovation, Business Model Development, and Advanced Topics in Marketing for undergraduate, graduate, and executive students. Professor Akçura holds a B.Sc. in Industrial Engineering from Boğaziçi University (1990), an MA in Business Administration from Boğaziçi University (1996), an MBA from Carnegie Mellon University (1998), and a Ph.D. in Quantitative Marketing from Carnegie Mellon University (2000). Before joining academia, he worked for Procter & Gamble across multiple European locations including Brussels, London, Manchester, and Istanbul. His research focuses on the intersection of Information Technology and Marketing, Brand Valuation, Consumer Learning Behavior, Structural Choice Models, Brand Equity dynamics, and Competitive Pricing Strategies. Professor Akçura has made significant contributions to marketing science through his extensive publication record in top-tier journals. His recent scholarly work demonstrates a strong trend toward digital marketing, AI applications in marketing analytics, healthcare marketing, and the strategic implications of data-driven decision making. His publications span from foundational work on brand equity to cutting-edge research on patient-generated health data and deep learning applications in campaign participation prediction. William W. Cooper Award (awarded twice for publications in Management Science and Marketing Science) Professor Akçura has successfully bridged academic research with practical business applications through his role as founder of eBrandValue A.Ş. and as a Y-Combinator alum (YCW15). He is an active member of professional organizations including the Institute for Operations Research and Management Science, American Marketing Association, and Direct Marketing Institute. His industry experience complements his academic work, providing students with valuable real-world insights into marketing strategy and implementation.

• Water and Wastewater Treatment
• Environmental Biotechnology
• Adsorption Processes
• +۵ مورد دیگر

Ferhan Çeçen is a Professor at the Institute of Environmental Sciences, Boğaziçi University (Istanbul, Turkey). He has held academic positions since 1990, including Professor since 1999, and has conducted research in environmental engineering and biotechnology. His expertise includes water/wastewater treatment, environmental biotechnology, and adsorption processes. Education: Ph.D. in Environmental Engineering, Istanbul Technical University (1990) M.S. in Environmental Engineering, Istanbul Technical University (1993) B.S. in Chemical Engineering, Boğaziçi University (1984) Research Interests: Prof. Çeçen focuses on advanced water treatment technologies, including nanosilver effects on biological systems, biodegradation of pharmaceuticals, and adsorption using activated carbon. His work emphasizes practical solutions for hazardous pollutant mitigation in biological treatment systems. Key areas include: Environmental biotechnology applications Biodegradation kinetics and modeling Activated carbon integration in wastewater systems Toxicology of nanomaterials in water treatment Recent Projects (2015–2023): He leads projects funded by Boğaziçi University BAP and TÜBİTAK, including studies on micropollutant removal via granular activated carbon, nanosilver effects on biological systems, and biodegradation of pharmaceuticals. These projects address emerging contaminants and sustainable treatment methods. Grants and Advising: His grants include BAP-funded research on micropollutant adsorption and TÜBİTAK support for microbial product inhibition studies. He has advised numerous graduate students on environmental engineering topics, though specific student names are not listed in the provided texts. Labs and Teams: His research group collaborates on experimental and computational studies, focusing on lab/pilot-scale testing of water treatment innovations. Key facilities include Boğaziçi University's environmental engineering labs and partnerships with institutions like Munich Technical University.

Vedat AKGİRAYمشاهده پروفایل

استاد

• Financial Markets
• Mathematical Finance
• Corporate Governance
• +۵ مورد دیگر

Vedat AKGİRAY is a Professor at Bogazici University's Department of Management. His academic journey began with a PhD from Syracuse University, and he has been a prominent figure in financial markets and mathematical finance research. Teaching Areas : Derivatives, Portfolio Management, Probability Research Focus : Financial Markets, Mathematical Finance, Corporate Governance, Emerging Markets Finance His work spans empirical finance, capital markets regulation, and institutional investment strategies. Recent publications analyze pension funds, bond risk premia, and corporate governance frameworks in emerging economies. Key trends in his publications include: Term structure estimation in developed/emerging markets Role of institutional investors in financial stability Policy implications for capital markets in Southeast Europe Responsible investment models via PPP frameworks Behavioral risk management in financial institutions Comparative analysis of pension fund systems

Hamza Salih Erdenمشاهده پروفایل

دانشیار

• Data Center Energy Efficiency
• Computational Fluid Dynamics
• Thermal Management
• +۳ مورد دیگر

Hamza Salih Erden is an Associate Professor (Docent) at the Informatics Institute of Istanbul Technical University in Turkey. His research focuses on energy optimization in data centers, thermal management systems, and computational fluid dynamics applications. With over 34 research outputs and an h-index of 12, he leads projects in energy-grid integration and carbon-aware load management. Research Focus Dr. Erden's work centers on improving energy efficiency in technological infrastructure through: Advanced cooling techniques for data centers Integration of thermal energy storage systems Computational fluid dynamics modeling Demand-response optimization for smart grids AI-driven monitoring of energy systems Publication Trends Recent works (2022-2025) demonstrate strong focus on sustainable energy technologies, particularly optimization of data center operations through thermal management innovations, integration of renewable energy solutions, and AI applications for system monitoring. Economic assessments of energy-saving techniques feature prominently. Awards and Recognition Technical Paper Award (2016) Multiple International Scientific Publication Incentive Awards (2017-2021) Poster Award (2012) Graduate Student Grant (2007) Projects and Funding Leads multiple energy research projects including: Carbon-aware load management in data centers (2025) Grid-integrated energy system modeling for data centers (2021-2023) CFD analysis of CRAH bypass methods (2018-2020) Economizer applications in Turkish data centers (2016-2017)

• Sustainable Machining Processes
• Tool Wear Monitoring
• Surface Roughness Optimization
• +۳ مورد دیگر

Doç. Dr. Muhammed Aras is an Associate Professor in the Department of Mechanical Engineering at Baskent University (Başkent Üniversitesi), with a research focus on sustainable machining processes, tool wear monitoring, and surface roughness optimization. His work spans advanced manufacturing technologies, energy storage systems, and biomedical device design. PhD in Manufacturing Engineering (2018), Gazi Üniversitesi MSc in Mechanical Education (2013), Gazi Üniversitesi BSc in Mechanical Engineering (2010), Tabriz Islamic Azad University Research interests include sustainable machining (dry/hard turning, cooling-lubrication strategies), tool wear analysis (CBN, ceramic and coated inserts), and surface integrity optimization using AI-based methods (firefly algorithm, TOPSIS, Grey Relational Analysis). His 15 most recent articles (2017-2024) examine topics like: Surface roughness prediction in dry hard turning Energy storage technology viability assessments Cutting parameter optimization for various steels Acoustic/vibration monitoring in machining He has received scientific awards including the Teşvik Ödülü (Encouragement Award, 2015). His patent on an automatic orthognathic surgery articulator and book chapters on tool monitoring systems demonstrate his multidisciplinary impact.

• Computer Learning
• Fuzzy Sets and Systems
• Decision Support Systems
• +۳ مورد دیگر

Prof. Sadettin Emre Alptekin is a full Professor of Industrial Engineering at Galatasaray University, Faculty of Engineering and Technology, where he also serves as Vice Dean. Since joining the university as a research assistant in 2000, he has steadily advanced through the academic ranks, becoming an Assistant Professor (2006–2010), Associate Professor (2010–2023), and finally Professor in 2023. Education: PhD (Dr), Industrial Engineering, Istanbul Technical University, Institute of Science and Technology, 2001–2006 MSc, Industrial Engineering, Galatasaray University, Faculty of Engineering and Technology, 1999–2001 BSc, Industrial Engineering, Istanbul Technical University, Faculty of Management, 1995–1999 Languages: Advanced English (C1), Upper-Intermediate French (B2), Advanced German (C1) Research Interests: Prof. Alptekin’s research focuses on Computer Learning , Fuzzy Sets and Systems , and Decision Support Systems . His work integrates artificial intelligence, machine learning, and soft-computing techniques to solve complex industrial and managerial problems in areas such as supply chain management, quality function deployment, blockchain adoption, and mental-health prediction. Publication Trends: Across more than 50 refereed publications, Prof. Alptekin has consistently explored hybrid intelligent models that combine fuzzy logic, machine learning, and multi-criteria decision-making. Recent articles emphasize deep-learning-based anomaly detection in industrial time-series data, blockchain adoption in supply chains, and machine-learning applications in subjective well-being and mental-health modeling. Scientific Awards & Honors: No specific awards or medals are listed in the provided documents. Research Leadership & Funding: Since 2008 he has been the principal investigator (executive) of 12 nationally funded projects, covering topics such as Industry 4.0 sub-system design, Internet of Things applications, artificial neural networks in organizational decision-making, big-data analytics, and strategic decision processes. Graduate Advising: He has formally supervised at least 8 master’s theses and numerous undergraduate projects. Representative thesis titles include Gaussian-process-regression-based man-hour prediction, machine-learning-driven human-behavior modeling, recommender-system design for e-commerce, thyroid-nodule diagnosis from scintigraphic images, software-effort estimation via neural networks, spreadsheet heuristics for joint-replenishment problems, cross-selling decision systems in insurance, and profitability analyses of Turkish banks under disinflation. Laboratories & Teams: While no dedicated laboratory name is disclosed, his continuous role as Vice Dean and principal investigator implies active leadership of the Industrial Engineering department’s research clusters in intelligent systems and decision support technologies.