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Ahmet AcarView profile

Associate Professor

• Cancer Biology
• Precision Medicine
• Drug Resistance Mechanisms
• +3 more

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.

Ozcan OzturkView profile

Professor

• Heterogeneous Computing
• Hardware Accelerators
• GPU Computing
• +7 more

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.

Onur VarolView profile

Assistant Professor

• Computational Social Science
• Network Science
• Machine Learning
• +4 more

Onur Varol is an Assistant Professor at Sabanci University's Computer Science Department and leads the VIRAL Lab, which focuses on computational social science, network science, and machine learning. He has affiliations with the Center of Excellence for Data Analytics. His research spans social bot detection, misinformation analysis, and online behavior modeling.

Hüsnü DalView profile

Professor

• Computational micromechanics
• Multiscale and multifield problems
• Materials theory
• +3 more

Hüsnü Dal is a Professor at Middle East Technical University (METU) in Ankara, Turkey, specializing in computational mechanics of materials. His research bridges engineering and biomedical applications through advanced computational modeling techniques. Education: Bachelor's Degree, Middle East Technical University, 2001 Master's Degree, University of Stuttgart, 2005 PhD, Dresden University of Technology, 2011 Research Focus: Prof. Dal's work centers on computational micromechanics, multiscale and multifield problems, and materials theory. He investigates fracture in multiphysics media with applications in lithium-ion batteries and tissue mechanics, developing novel constitutive models for complex material behaviors under extreme conditions. His research integrates thermomechanical coupling, viscoplasticity, and data-driven approaches to solve engineering challenges in both synthetic polymers and biological systems. Publication Trends: Recent publications (2023-2025) reveal a dominant focus on data-driven constitutive modeling and phase-field fracture methods. His work spans rubber mechanics, polymeric foams, biological tissues, and battery materials, characterized by strong interdisciplinary connections between materials science, biomechanics, and computational engineering. Key themes include anisotropic hyperelasticity, thermo-viscoplastic fracture, and spatial property variations in additively manufactured materials.

Ali JaviliView profile

Associate Professor

• Computational Mechanics
• Material Science
• Nanomechanics
• +3 more

Dr. Ali Javili is an Associate Professor at Bilkent University's Department of Mechanical Engineering. He holds a Dr.-Ing. in Mechanics from the University of Erlangen-Nuremberg (2012), M.Sc. in Computational Engineering from Ruhr-University Bochum (2007), and B.Sc. in Mechanical Engineering from Sharif University of Technology (2003). His research focuses on computational multi-physics and multi-scale understanding of complex materials with emphasis on lower-dimensional energetics. Research interests span computational continuum mechanics, interfaces and interphases, instability analysis across scales, nanomechanics, fracture mechanics, surface elasticity theory, multi-scale formulation, multi-physics modeling, biomechanics, smart materials, metamaterials, peridynamics, and applied mathematics. Recent publications demonstrate advanced work in peridynamics, surface elasticity, nonlocal interfaces, and computational frameworks for material modeling. Articles consistently develop theoretical foundations and computational methods for complex material behaviors.

• Sensor Networks
• Pervasive Computing
• Middleware
• +5 more

Sanem Kabadayı is an Assistant Professor at the Department of Computer Engineering, Istanbul Technical University. Her research focuses on sensor networks, middleware frameworks, and pervasive computing. Research Interests Sensor Networks (Wireless, Ad-hoc, Heterogeneous) Pervasive and Ubiquitous Computing Middleware Design for Smart Environments Data Abstraction and Communication Paradigms Advisory Role Advisor for Yakup Kayatas' thesis on AI-assisted IoT agents for smart spaces (2025). Recent Research Trends Her 15 most recent publications (2006–2024) emphasize sensor network architectures, middleware innovations for programmable environments, and abstractions for heterogeneous sensor integration. Key themes include AI-driven IoT agents, positioning techniques in wireless networks, and virtual sensor frameworks.

Bahattin KoçView profile

Professor

• 3D Bioprinting
• Additive Manufacturing
• Computational Geometry
• +3 more

Prof. Bahattin Koç is a Professor at Sabancı University's Faculty of Engineering and Natural Sciences, coordinating the Manufacturing Engineering Program. He holds a Ph.D. and has extensive experience in academia and industry, including roles at The State University of New York at Buffalo. His research focuses on 3D bioprinting, additive manufacturing, computational geometry, and nanotechnology-driven manufacturing processes. Research Interests: 3D bioprinting for tissue engineering, computational geometry for additive manufacturing, heterogeneous and multi-functional object modeling, nano-micro additive manufacturing, and hybrid manufacturing processes. His work integrates advanced design and manufacturing techniques to address challenges in biomedical and industrial applications. Grants and Funding: Secured significant grants including £815,625 from UK EPSRC (2018-2021), €1.4M from DiCoMI H2020 RISE (2018-2022), and $5M from the Turkish Ministry of Development. Projects include bone defect repair, bioprinting of patient-specific scaffolds, and advanced composite manufacturing. Students and Collaborations: Advised over 30 graduate students and researchers. Notable collaborations include work with Penn State University, University of Buffalo, and industry partners like TUSAS Engine Industries. He is a founding member of Sabancı University's Integrated Manufacturing Center and serves on TÜBİTAK advisory boards. Awards and Recognition: Co-inventor of patents such as the 'Method For Three Dimensional Printing Of Heterogeneous Structures' and 'Resorbable Laminated Repair Film'. Recognized for contributions to biofabrication and manufacturing innovation.

Zeynep Işıl KalaylıoğluView profile

Professor

• Bayesian Statistics
• Environmental Statistics
• Health Statistics
• +3 more

Prof. Zeynep Işıl Kalaylıoğlu is a Professor of Statistics at the Department of Statistics, Middle East Technical University (METU), Ankara, within the Faculty of Arts and Sciences. She holds a Ph.D. in Statistics from North Carolina State University (2002) and has held roles including Associate Professor (2014–2022), Assistant Professor (2009–2014), and researcher at the National Cancer Institute (2002–2007). She has served in administrative roles such as Assistant to the Department Head and member of METU’s Wind Energy Research Center and Faculty Board. Ph.D.: Statistics, North Carolina State University, 2002 M.S.: Statistics with Computational Engineering minor, North Carolina State University, 1999 B.S.: Statistics with Computer Engineering minor, Middle East Technical University, 1995 Her research focuses on Bayesian statistical methodologies for environmental and health phenomena. Key areas include spatial/temporal modeling of atmospheric and ecological variables, prediction of migratory patterns (e.g., wind direction, bird movements), and risk modeling for breast cancer using mammogram data. She develops flexible models for circular and extremal data, emphasizing applications in ecology, epidemiology, and environmental science. Her recent publications address topics like goodness-of-fit tests for statistical distributions, predictive model selection for circular data, and Bayesian approaches for missing covariates in generalized linear models. Current projects include mobile apps for olive harvest optimization and frost预警 systems, reflecting her commitment to applied statistical solutions. Labs/Teams: She leads the BayeZian Research Group, collaborating with METU’s Ecosystem Research Center on interdisciplinary projects. Her teaching expertise spans mathematical statistics, Bayesian theory, and statistical inference at undergraduate and graduate levels.

Murat AcarView profile

Professor

• Systems Biology
• Computational Biology
• Synthetic Biology
• +9 more

Murat Acar is a Professor in the Department of Medical Biology at the School of Basic Medical Sciences, Koç University. Previously, he served as a full-time faculty member at Yale University's Department of Molecular Cellular & Developmental Biology and Yale Systems Biology Institute from 2012 to 2022, where he was promoted to Associate Professor in 2017. Education: PhD in Physics, Massachusetts Institute of Technology (2007) Bachelor's in Physics, Boğaziçi University (2000) His research program focuses on Systems Biology , Computational Biology , and Synthetic Biology approaches to uncover genetic, epigenetic, and pharmaceutical modulators of cellular aging and organismal lifespan. The ACAR Lab integrates experimental systems biology with machine/deep learning methods, utilizing microfluidic technologies and single-cell RNA sequencing to investigate noise in gene expression, synthetic circuit design, and drug screening for aging-related pathways. Major Scientific Awards: NIH Director's New Innovator Award (2014) Ellison Medical Foundation New Scholar in Aging Award (2013) Yale Junior Faculty Fellowship (2014-2015) CBCD Fellow at Caltech (2007-2011) Professor Acar leads the ACAR Lab, which develops computational frameworks and experimental platforms to study cellular aging mechanisms through feedback regulation in gene networks and synthetic circuit implementations. His work bridges fundamental biological principles with translational applications for lifespan modulation.

• Wireless Communications
• Information Theory
• Communication Networks
• +18 more

Cenk Gursoy is a Professor in the Department of Electrical Engineering and Computer Science at the College of Engineering and Computer Science, Syracuse University. He previously served as a faculty member at the University of Nebraska-Lincoln from 2004 to 2011. He holds a Ph.D. in Electrical Engineering from Princeton University and a B.S. from Bogazici University, Turkey. His research spans wireless communications, information theory, signal processing, and networking. Key areas include 5G/6G technologies, millimeter-wave communications, UAV-assisted networks, energy efficiency, intelligent reflecting surfaces, and machine learning for networking. He has made significant contributions to finite blocklength communications, QoS provisioning, and secure wireless transmissions. The recent publications highlight a strong trend in integrating machine learning—particularly deep reinforcement learning—into wireless resource allocation, network slicing, UAV trajectory planning, and anomaly detection. His work increasingly bridges theoretical information-theoretic models with practical implementations in emerging wireless systems such as RIS-aided networks, NOMA, and edge computing. NSF CAREER Award, 2006 2020 IEEE Region 1 Technological Innovation (Academic) Award IEEE Green Communications & Computing Technical Committee Best Journal Paper Award EURASIP Journal of Wireless Communications and Networking Best Paper Award IEEE PIMRC Best Paper Award Maude Hammond Fling Faculty Research Fellowship All-University Doctoral Prize (awarded twice to his students) Dr. Gursoy has advised over 20 Ph.D. and M.S. students, many of whom now hold positions at leading universities and tech companies. His research has been funded by multiple National Science Foundation grants as Principal or Co-Principal Investigator, focusing on fundamental limits of wireless systems, millimeter-wave networking, and green cloud platforms. He serves as an Area Editor for IEEE Transactions on Vehicular Technology and as an Editor for several other IEEE Transactions journals. He leads the Wireless Communications & Networking Lab and the Smart Vision Systems Lab at Syracuse University, fostering interdisciplinary research in smart networks, IoT, and intelligent sensing systems.

• Genetics
• Molecular Biology
• Bioinformatics
• +4 more

Sevinç AKÇAY is a Lecturer at the Department of Molecular Biology and Genetics in the Faculty of Arts and Sciences at Kırşehir Ahi Evran University , Turkey. She holds a PhD (2016) and MSc (2012) in Molecular Biology from the University of Pittsburgh , and a BSc (2008) in Biology from Ankara University . Research Focus: Genetics, Molecular Biology, and Bioinformatics, with emphasis on elastin gene mutations , cancer genomics , and computational disease modeling . Key Projects: Investigated Tiochlorosid and Malathion effects on cancer cell lines; led studies on epigenetic mechanisms and ferroptosis in cancer . Teaching: Offers courses in Genetic Engineering , Epigenetics , and CRISPR Technologies at both undergraduate and graduate levels. Collaborations: Works with international researchers like Zsolt Urban (University of Pittsburgh) and Emine Güven (Düzce University) on computational biology and genetic disorders.

Orhan TorulView profile

Associate Professor

• Macroeconomics
• Economic Inequality
• Political Economy
• +2 more

Orhan Torul is an Associate Professor of Economics at Boğaziçi University 's Department of Economics since April 2022, with prior roles as Assistant Professor (2013-2022) and Visiting Assistant Professor at University of Oslo (2017). His research focuses on macroeconomics, economic inequality, political economy, public policy, and applied econometrics , with significant contributions to understanding Turkey's inequality dynamics. He has received multiple awards including Boğaziçi University Outstanding Achievement in Research Award (2023) , Science Academy BAGEP Award (2023) , and Fulbright Visiting Scholars Fellowship (2021-2022) . Education Ph.D. in Economics (2013), University of Maryland, College Park M.A. in Economics (2011), University of Maryland, College Park M.A. in Economics (2009), Boğaziçi University B.S. in Business Administration (2006), Middle East Technical University His research has produced 15+ peer-reviewed publications analyzing Turkey's economic inequality patterns (income, wealth, consumption), intergenerational mobility, labor market heterogeneity, and policy implications. Key findings include Turkey having Europe's highest income inequality and second-highest global wealth inequality in 2014, with significant welfare costs equivalent to 25-43% permanent consumption loss. His computational work demonstrates the value of heterogeneous-agent models in capturing Turkey's economic reality. Scientific Contributions Developed modified Aiyagari model for Turkey's inequality analysis Documented sector-specific income trajectory patterns Quantified welfare costs of inequality Established link between minimum wage growth and inequality reduction Provided microfoundations for macroeconomic policy analysis Torul has secured multiple Boğaziçi University BAP research grants including Standard BAP Project #20050 (2024-2025) on wealth dynamics, Standard BAP Project #13920 (2018-2019) on intergenerational mobility, and Start-Up BAP Project #9081 (2014-2017) on inequality measurement. His work continues to inform Turkish policymaking through empirical analyses of labor income heterogeneity, consumption patterns, and wealth distribution.

Errikos MelissinosView profile

Assistant Professor

• Macroeconomics
• Finance
• Monetary Economics
• +3 more

Errikos Melissinos is an Assistant Professor of Finance at Özyeğin University's Faculty of Business. He holds a PhD in Economics from Goethe University Frankfurt, an MA in Economics and Finance from the Barcelona School of Economics, and a Bachelor's in Law from the University of Athens. His research focuses on monetary economics, asset pricing, and computational methods, with special emphasis on real term premia in consumption-based models and solution methods for complex economic models. Prior to his current position, he worked at the Leibniz Institute for Financial Research SAFE and the Deutsche Bundesbank. His research explores topics such as stochastic volatility effects on bond premia, perturbation methods for recursive utility models, and multidimensional skill learning in labor markets. Current work in progress includes analysis of stock market participation and equity premium puzzles, as well as regional Phillips curve dynamics. Teaching responsibilities include courses in Finance (FIN202), Investments (FIN301), and International Finance (FIN401). No scientific awards are explicitly mentioned, though his active research output indicates potential for future recognition. He has no listed advisees/students or grant information in the provided materials. His work frequently intersects with computational techniques applied to macro-finance problems, reflecting a strong methodological focus complementing his theoretical contributions.

Fatih KocabaşView profile

Associate Professor

• Medical Genetics
• Stem Cell Research
• Molecular Biology
• +2 more

Assoc. Prof. Dr. Fatih Kocabaş is a leading academic in the Department of Genetics and Bioengineering at Yeditepe University's Faculty of Engineering . With a PhD in Medical Biology from the University of Texas Southwestern Medical Center (2012), he specializes in hematopoietic stem cell metabolism, cardiac regeneration, and MEIS1 protein functions. Education: PhD (2007-2012), University of Texas Southwestern Medical Center; BSc (2001-2006), Middle East Technical University; MSc (2017), Anadolu University His research bridges Medical Genetics , Regenerative Medicine , and Molecular Biology , with a focus on small molecule-induced stem cell expansion, CRISPR/Cas9 applications, and metabolic regulation in stem/progenitor cells. Google Scholar articles (2010-2025) highlight his work on MEIS1 inhibition , FOXO3-mTOR interactions , and CAS9 modulators . Key awards include the Marie Curie Eşik Üstü Ödülü , TÜBİTAK grants , and Gilead Sciences International Hematology Award . He has supervised 10+ theses on topics like fibroblast expansion technologies , hematopoietic stem cell gene editing , and MEIS1 inhibitors .

• Modeling and Optimization
• Supply Chain Management
• Operations Research
• +3 more

Assoc. Prof. Dr. Barış Keçeci is an Associate Professor in the Industrial Engineering program at Başkent University. He earned his PhD in Industrial Engineering from Gazi University (2014), Master's Degree from Başkent University (2008), and BSc from Gazi University (2002). Research interests include Modeling and Optimization, Supply Chain Management, Operations Research, Decision Science, and Multi-Criteria Decision Making, with a focus on logistics and transportation systems. His work often integrates advanced algorithms like fuzzy logic and neural networks for solving complex optimization problems. Recent publications emphasize variants of the Traveling Salesman Problem (e.g., with hotel selection, clustered trips), vehicle routing with simultaneous pickup/delivery, and applications of hesitant fuzzy models. These studies span sectors like defense industry, tourism, and shared mobility systems. Advising includes Master's theses on topics such as pandemic-era educational quality, intelligent transportation systems, and ERP software selection. Notable advisees include Neslişah Albayrak Melis Boran Cemal Aykut Gencel Nelişah Albayrak İpek Damla Akpinar Pelin Akyıl Kurt