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Zeynep Akşin Karaesmen is a Professor in the Operations Management and Information Systems group at Koç University, where she has been since Fall 2002. She holds a PhD (1996) and MS (1994) in Operations Management from the Wharton School, University of Pennsylvania, and a BS in Industrial Engineering from Middle East Technical University (1990). Previously, she served as faculty at INSEAD and was a visiting scholar at Kellogg School of Management (2008-2009). Her research focuses on Service Operations Management Behavioral Operations Management Call Center and Healthcare Operations Stochastic Modeling Mathematical and Empirical Analysis Her recent publications analyze Call Center Delay Announcements Workforce Cross-Training Service System Design Human Capital Valuation Healthcare Capacity Planning Customer Retrial Behavior Scientific Awards TÜBA Social Sciences Incentive Award (2006) IBM Faculty Award (2011) Koç University Outstanding Faculty Member (2017) Wickham Skinner Best Paper Award (2016, 2nd Place) MSOM Service Management SIG Prize Finalist (2015) Best Paper Awards (multiple) She serves as Associate Editor for Management Science , Manufacturing & Service Operations Management , and other journals. Her teaching includes Operations Management (EMBA/MBA/undergraduate), Service Operations Management, and Supply Chain courses.

• Service Operations Management
• Behavioral Operations Management
• Call Center Operations
• +4 more

Neslihan Serap Şengör is a Professor at the Department of Electronics and Communication Engineering, Istanbul Technical University . Her work bridges Artificial Intelligence , Neuroscience , and Circuits and Systems Theory . Research areas include: Neuromorphic computing with Intel Loihi Basal ganglia and motor control modeling Spiking neural networks for hardware Cognitive process simulation Projects focus on: Hardware implementation of motor learning Computational models for Parkinson's disease Cortex structure simulation on neuromorphic chips Contact: sengorn@itu.edu.tr

• Artificial Intelligence
• Neuroscience
• Circuits and Systems Theory

Assoc. Prof. Dr. Yüksel Yurtay is an active faculty member at Sakarya University's Faculty of Computer and Information Sciences, Department of Data Science and Analytics. With a career spanning over three decades at the university since 1993, he has established himself as a prominent researcher and educator in the fields of data science, artificial intelligence, and business analytics. Education: Doctorate (2011-2020): Sakarya University, Institute of Business Administration/Production Management and Marketing, Thesis: "An empirical study on the impact of the dashboard on decision processes in the context of supply chain management" Master's (1996-1998): Sakarya University, Institute of Social Sciences/Production Management and Marketing, Thesis: "Activity based costing system and an application in electro-mechanical industry" Bachelor's (1987-1991): Anadolu University, Faculty of Arts and Sciences/Mathematics Dr. Yurtay's research focuses on the intersection of data science and business applications, with particular emphasis on dashboard systems, key performance indicators, and supply chain management. His work bridges theoretical computer science with practical business applications, developing innovative solutions for performance monitoring, decision support, and process optimization. His research portfolio demonstrates consistent productivity with publications spanning from 2018 through 2025, showing no signs of slowing down. Analysis of Dr. Yurtay's recent publications (2018-2025) reveals several key research trajectories: a strong focus on dashboard and KPI systems for business decision-making, growing interest in AI applications for emotion recognition (particularly in call center contexts), development of novel metaheuristic algorithms for optimization problems, and application of computer vision techniques for specialized detection tasks. His work consistently combines theoretical algorithm development with practical business applications. Dr. Yurtay has successfully secured research funding from prestigious sources including TÜBİTAK (project 1505) and industry partnerships with companies like Turkcell Global Bilgi. His current projects focus on real-time emotion recognition using deep learning and business process optimization. As an educator, Dr. Yurtay teaches core courses in numerical analysis, software engineering, computer engineering design, and data science. He has supervised graduate theses, including Akın YAŞAR's work on real estate photo quality evaluation using deep learning. His teaching portfolio reflects his expertise across both theoretical computer science and applied data analytics.

• Artificial Intelligence
• Machine Learning
• Data Science
• +8 more

Fulten Larlar serves as an Instructor and Exchange Programs Coordinator at Bilkent University's Faculty of Art, Design, and Architecture, teaching core courses including Introduction to Screenwriting (COMD 210), Media and Design Studio II (COMD 282), Directing Actors (COMD 442), and Visual Communication Projects (COMD 481/482) from her office in FC 207. Education: M.F.A. in Motion Pictures and Television, Academy of Art University, San Francisco (2004), earned with honors through a Fulbright Scholarship Research Focus: Her professional practice centers on narrative development across screenwriting, directing, and producing disciplines, with specialized expertise in story analysis for film scripts. This creative scholarship manifests through award-winning productions and industry collaborations that bridge academic instruction with professional filmmaking standards. Scientific Recognition: Eastman Kodak Best Screenplay Award for short film "The Currycomb" Fulbright Scholarship supporting graduate studies Professional Contributions: Larlar served as Story Consultant for Academy of Motion Picture Arts and Sciences Student Oscars Northeast finalist "Seeking the Sultan," Associate Producer for multi-award-winning documentary "Waiting for Arif," and co-producer of Olympic Cultural Olympiad-selected dance film "Calling the Minstrel." Her documentary "Devrim Eskisehir" inspired the feature film "Devrim Arabalari" and subsequent DVD release. Operational Context: As Exchange Programs Coordinator, she facilitates international academic mobility within the faculty while maintaining active industry engagement through professional screenplay analysis services.

• Screenwriting
• Directing
• Producing

Levent Arslan is a full-time Professor at Boğaziçi University, focusing on speech processing, machine learning, and artificial intelligence. His research interests include speaker recognition, voice conversion, robust speech recognition, and natural language processing. He has contributed extensively to the development of systems for spoken language identification, automated training, and customer experience analytics. His work bridges technical innovations with business applications, such as analyzing corporate strategies in industries like steel manufacturing. Research Highlights: Speaker verification, deep learning for intent detection, cross-cultural business ethics, and automated error correction in NLP. Key Contributions: Over 50 publications since 2001, spanning speech enhancement, voice conversion systems, and educational technology. His recent studies emphasize leveraging transformer models for domain adaptation and addressing data imbalance in NLP tasks. Arslan’s analytical frameworks are applied in call center operations, fraud detection, and enterprise success metrics analysis. While no explicit awards or grants are cited, his work reflects a strong focus on practical solutions for real-world challenges.

• Speaker Recognition
• Voice Conversion
• Robust Speech Recognition
• +5 more

A. Ercüment Çiçek is an Associate Professor at the Computer Engineering Department of Bilkent University and an Adjunct Faculty Member at Carnegie Mellon University's Computational Biology Department. He holds editorial roles, including Associate Editor for IEEE/ACM Transactions in Computational Biology and Bioinformatics. His research focuses on computational biology, machine learning applications in genomics, privacy in genomic data, and neurodevelopmental disorders. He has conducted visiting professorships at EPFL (2022-2023) and has been recognized with awards such as the Turkish Intelligence Foundation Akıngüç Award and the Bilkent University Aziz Sancar Incentive Award. Education includes a Ph.D. in Computer Science from Case Western Reserve University (2009-2013), M.Sc. from Sabancı University (2007-2009), and B.Sc. from Sabancı University (2003-2007). His academic journey includes fellowships like the Lane Fellowship at CMU and Fulbright Doctorate Fellowship. Research interests span machine learning for genomics, privacy-preserving data sharing, metabolic network analysis, and algorithm development for bioinformatics. Notable projects include SPADIS for SNP selection and HERCULES for long-read error correction. His work bridges computer science and biology, with applications in neurodevelopmental disorders and precision medicine. He has delivered keynotes and presentations globally, including at UCLA, EPFL, and RECOMB conferences. Teaching responsibilities include courses like Introduction to Machine Learning and Computational Systems Biology at Bilkent University. Active in interdisciplinary collaborations, he has led research teams and contributed to lab initiatives like the Laboratory for Neurodevelopmental Systems Biology. Awards: Turkish Intelligence Foundation Akıngüç Award 2025, Distinguished Teaching Award 2022, etc. Grants: Lane Fellowship, METU Parlar Foundation, etc. Labs: Collaborated with the Laboratory for Neurodevelopmental Systems Biology at EPFL and Lane Center for Computational Biology at CMU.

• Computational Biology
• Genomics
• Machine Learning
• +5 more

Barış Balcıoğlu is a Professor at the Faculty of Engineering and Natural Sciences, Sabancı University, Turkey since 2015. Formerly, he held academic positions at the Department of Mechanical & Industrial Engineering, University of Toronto (2003-2015), including Associate Professor (2009-2011) and Assistant Professor (2003-2009). He received his PhD in Industrial and Systems Engineering from Rutgers University (2003), MS (1996) and BS (1994) in Industrial Engineering from Bilkent University, Turkey.

• Stochastic Models
• Production/Inventory Systems
• Analysis of Queueing Systems
• +2 more

Prof. Dr. Sona Mardikyan is a faculty member at Bogazici University, specializing in quantitative methods and information systems. Her educational background includes a B.S. in Control and Computer Engineering from Istanbul Technical University, an M.A. in Industrial Engineering from Bogazici University, and a Ph.D. in Business Administration (Quantitative Techniques) from Istanbul University. She teaches courses such as Statistics, Data Mining, Multivariate Statistical Methods, and Information Systems Technologies. Her research focuses on Information Systems , Multivariate Statistics , Data Mining , and e-Learning . She investigates technology adoption patterns, social media analytics, educational technology impacts, and e-commerce optimization, often using advanced statistical modeling and AI techniques. Her publications emphasize emerging technological trends, including AI-driven customer analytics, social media metrics, IoT scientometrics, and digital transformation in education and business. A consistent focus on empirical validation and real-world applications characterizes her work. Awards: Best Paper Award at the 5th International Management Information Systems Conference (2018) for research on call center efficiency using text mining. She actively mentors academic projects and contributes to international conferences, though specific student advisees and grants are not detailed in the source material.

• Information Systems
• Multivariate Statistics
• Data Mining
• +1 more

Professor Aslı Sencer is a faculty member in the Department of Industrial Engineering at Bogazici University's College of Engineering. She holds a Ph.D. in Industrial Engineering from Bogazici University, an M.A. from Bilkent University, and a B.S. from Middle East Technical University (ODTÜ). Her research focuses on Supply Chain Management , Digital Transformation , Analytical Decision Making , Business Process Management , and Decision Support Systems . Her recent publications explore sustainability metrics in supply chains, blockchain applications for logistics collaboration, and simulation-based optimization across air cargo, call centers, and production systems. She has contributed to international journals such as Environment, Development and Sustainability , Simulation , and Logistics . Current Position: Professor, Department of Industrial Engineering, Bogazici University Education: ODTÜ (B.S.), Bilkent University (M.A.), Bogazici University (Ph.D.) Courses Taught: Supply Chain Management, Business Process Management, Decision Support Systems

• Supply Chain Management
• Digital Transformation
• Analytical Decision Making
• +2 more

Zuhal Tanrıkulu is a Professor in the field of Management Information Systems, with a multidisciplinary background in Electronics and Communication Engineering, Control and Computer Engineering, and Business Administration. She has taught courses spanning enterprise information systems, global IS success metrics, soft computing applications, and graduate seminars. Research Focus: Her work centers on information systems development, systems success/failure analysis, e-learning technologies, and health information systems. Recent publications emphasize password security algorithms, mobile learning sustainability, and data mining applications. Publication Trends: Over the past decade, her research spans cybersecurity, digital transformation, and educational technology. Key subfields include network security protocols, business model innovation, and intelligent system integration in service processes.

• Information Systems Development
• Information Systems Management
• Systems Success and Failure
• +3 more

Assoc. Prof. Dr. Seda Yanık Özbay is an academic at Istanbul Technical University (ITU), affiliated with the Department of Industrial Engineering and the Department of Business Administration within the College of Engineering. She holds a PhD in Industrial Engineering from ITU and has extensive professional experience spanning academia and industry. Education: PhD in Industrial Engineering, Istanbul Technical University (2006–2011) Master’s in Engineering Management (Thesis), ITU (2002–2004) Bachelor’s in Industrial Engineering, ITU (1995–1999) Research Focus: Her work integrates machine learning, optimization, and decision science with applications in healthcare systems, sustainable logistics, transportation engineering, and educational technology. Notable areas include AI-driven disease diagnosis, supply chain optimization, and stakeholder-oriented decision frameworks for distance education. Recent publications emphasize ensemble methods in medical diagnostics and multi-criteria approaches to public transportation design. Articles Trends: Her 2020–2024 work showcases growth in AI applications (e.g., coronary disease prediction) and sustainability-focused solutions (e.g., micro-credentials in e-learning). Collaborations often bridge technical domains like neural networks with societal challenges in healthcare and education. Awards: No specific awards listed. Advising & Grants: While advising details are not explicitly stated, her publications reflect collaborative research with graduate students and industry partners. Research activities include grants related to logistics optimization and smart transportation systems. Labs/Teams: Engaged in interdisciplinary groups at ITU’s Industrial Engineering Department, focusing on operations research and applied AI solutions.

• Machine Learning
• Healthcare Systems
• Logistics and Supply Chain Management
• +4 more

Burcu ÇETİNKAYA serves as a Lecturer in the Office Services and Secretarial Services department at the Vocational School of Social Sciences, where she contributes to vocational training programs focused on administrative and secretarial competencies including call center operations. Her academic role emphasizes practical skill development within this specialized educational context. Her research profile centers on business and administrative sciences, with core interests spanning: Business Administration Office Management systems Secretarial Science methodologies Customer Service optimization Call Center Operations frameworks Administrative Systems design Professional activity records indicate supervision of one master's thesis, though specific student details remain unlisted. The absence of publications and scientific awards is notable, with all metric categories (citations, h-index, etc.) registering zero values in institutional records.

• Business Administration
• Office Management
• Secretarial Science
• +3 more

Oğuz Balcı is a Lecturer at Gaziantep University's Nizip Vocational School within the Department of Economics and Administration Programs, a position he has held since 2009. He also served as Head of Department during the 2012-2013 academic year. His educational background includes: Master of Business Administration (with thesis), Institute of Social Sciences, Gaziantep University (2006-2008) Dr. Balcı's research and teaching expertise centers on Production Management, Business Administration, and Operations Management, with significant industry experience informing his practical approach. His curriculum covers core business disciplines including General Business, Business Management, Call Center Applications, and Computerized Accounting Software across multiple academic years. Prior to academia, he held key management positions: Production Manager, Sherbetci Embroidery Confection Inc. (1999-2003) - Production Planning Assistant Store Manager, Eroğlu Clothing Industry Trade Inc. (2003-2005) - Personnel Coordination Store Manager, Erk.Paz.San.Tic.AŞ. (2006-2008) Import Export Specialist, Gaziantep Chamber of Industry (1994-1995)

• Production Management
• Business Administration
• Operations Management
• +2 more

Prof. Dr. İlker Tari is a distinguished academic in Mechanical Engineering, currently serving as a Professor at FMV Işık University , Istanbul, Turkey. Previously, he held a Professor position at Middle East Technical University (METU) from 1998-2022 and served as Visiting Professor at Technische Univ. München (2010-2012). His research focuses on Solar Energy Applications , Thermal Energy Storage , and Computational Heat Transfer . Education: PhD, Mechanical Engineering - Northeastern University (1998) SM, Nuclear Engineering - MIT (1994) MS, Nuclear Engineering - University of Michigan (1991-1994) BS, Nuclear Energy Engineering - Hacettepe University (1983-1987) Research Interests: His work specializes in: Solar Energy Systems for industrial applications and hybrid storage Thermal Management of electronics and fuel cells Radiative Transfer modeling in particulate media Fluidized Bed Technologies for energy storage Computational Fluid Dynamics (CFD) and DEM methods 3D Printing Applications in mechanical systems Scientific Contributions: Recent publications focus on: Advanced solar cooling systems Hybrid energy storage with phase change materials Mechanical properties of particle beds CFD-DEM integration for thermal modeling Optimization of industrial solar hybridization Renewable energy system analysis Student Supervision: Has supervised over 40 graduate theses including: Furkan Enes Yıldırım - 2025 Deniz Değirmenci - 2022 Ender ÖZDEN - 2015 Mehdi MEHRTASH - 2017 Özgür BAYER - 2009 Ömer EMRE ORHAN - 2007 Key Projects: EU H2020 INSHIP (2017-2020) TUBITAK 217M062 Solar Dryer (2017-2020) EU H2020 SFERA-III (2019-2023) EU H2020 SolarTwins (2020-2023) ECOSun Solar-ERANET (2020-2023) InnoSolPower CSP-ERANET (2021-2024) Professional Affiliations: President, International Center for Heat and Mass Transfer (2019) Member, Turkish Cogeneration Association (2021) Member, Turkish Thermal Science and Technology Association (2018) Member, American Society of Thermal and Fluids Engineers (2015)

• Solar Energy
• Renewable Energy Systems
• Thermal Energy Storage
• +7 more