جستجوی استاد راهنمای دانشگاهی

Professor Eren Ozceylan is a faculty member at Gaziantep University, Faculty of Engineering, Industrial Engineering Department . He holds a PhD in Computer Engineering from Selcuk University (2013), an MSc in Industrial Engineering (2010), and a BSc in Industrial Engineering (2007). His research focuses span Supply Chain Management , Logistics and Transportation , Modeling and Optimization , and Humanitarian Logistics , with a strong emphasis on GIS-based spatial analysis , Fuzzy Logic , and Industry 4.0 technologies. Education: PhD (2013) in Computer Engineering, Selcuk University MSc (2010) in Industrial Engineering, Selcuk University BSc (2007) in Industrial Engineering, Selcuk University His work integrates Multicriteria Decision Analysis (MCDM) with Mathematical Programming , addressing challenges in Sustainable Supply Chains , Refugee Camp Location Planning , and Smart Manufacturing . Recent publications highlight applications of Blockchain for supplier selection, AI-assisted translation in logistics, and Drone-based inventory management . He has authored 25 book chapters and 125 peer-reviewed journal articles, often collaborating with researchers like Ibrahim Mirac Eliguzel, Suleyman Mete, and Cihan Cetinkaya. Scientific contributions include pioneering studies on Disassembly Line Balancing for end-of-life products, GIS-based Maximum Coverage Models for humanitarian depots, and Fuzzy AHP-WASPAS frameworks for electric vehicle charging stations. His work appears in high-impact journals such as Expert Systems with Applications , IEEE Transactions on Engineering Management , and Journal of Cleaner Production , with a focus on Q1/Q2 quartile journals and SCI/SSCI indexing . Professor Ozceylan's methodological toolkit includes Hybrid Metaheuristics (e.g., Discrete Crow Search, Beam Search), Entropy Weighting , and Spherical Fuzzy Sets . He has presented at 218 international/national conferences, addressing topics like Autonomous Systems , ERP Integration for Industry 4.0 , and AI in Last-Mile Delivery . His research bridges theoretical innovation with real-world applications in sectors ranging from Textiles to Public Transportation in Turkey-Syria border regions.

• Industrial Engineering
• Supply Chain Management
• Logistics and Transportation
• +۹ مورد دیگر

Sharan Srinivas serves as an Associate Professor with a joint appointment in the Department of Marketing and Department of Industrial & Systems Engineering at the University of Missouri-Columbia, while also holding Core Faculty status in the MU Institute for Data Science and Informatics. His academic credentials include: Ph.D in Industrial Engineering and Operations Research from Pennsylvania State University MEng in Industrial Engineering and Operations Research from Pennsylvania State University M.S. in Industrial and Systems Engineering from Binghamton University, State University of New York B.E. in Industrial Engineering from Anna University, India Dr. Srinivas's research integrates advanced analytics across four interconnected domains: AI-enabled operations engineering, prescriptive analytics and optimization, service systems modeling and management, and supply chain logistics. His methodological approach combines machine learning with optimization techniques to address complex operational challenges in healthcare, transportation, and consumer systems, frequently leveraging real-world industry data for validation. Funding for his work comes from major federal sources including the National Science Foundation (NSF), Department of Defense (DoD), and U.S. Economic Development Administration (EDA), alongside state and industry partnerships. He actively mentors PhD, MS, and undergraduate students through research projects and academic advising, incorporating Lean Six Sigma Black Belt methodologies into practical applications. As a Core Faculty member of the MU Institute for Data Science and Informatics, he drives cross-disciplinary collaboration in data-intensive research initiatives while teaching analytics courses across undergraduate, graduate, and MBA programs.

• AI-enabled operations engineering
• prescriptive analytics and optimization
• service systems modeling and management
• +۱ مورد دیگر

Rolf Drechsler is a Full Professor and Head of the Group of Computer Architecture at the University of Bremen's Institute of Computer Science since 2001, and Director of the Cyber-Physical Systems Group at DFKI Bremen since 2011. He holds an adjunct professorship at the Indian Statistical Institute and has been affiliated with Duke University. Education: Diploma (1992) and Dr. phil. nat. (1995) in Computer Science from Goethe University Frankfurt Academic Leadership: Dean of Mathematics and Computer Science Faculty (2018-2025), Vice Rector for Research (2008-2013) His research focuses on formal verification , RISC-V architectures , and quantum/in-memory computing . Recent work explores LLM integration in hardware testing and polynomial-based verification techniques. Publications from 2024-2025 span IEEE Transactions , DATE , and DAC , emphasizing automated verification , quantum circuit mapping , and LLM-driven testbench generation . Scientific Awards IEEE/ACM Best Paper Awards (2013, 2018) Berninghausen-Preis for Innovative Teaching (2018) IEEE Fellow (2015) Founder Award for Solvertec (2013) He has served on program committees for DAC, ICCAD, DATE, and founded graduate schools in Embedded Systems and System Design under Germany's Excellence Initiative.

• Formal Verification
• Quantum Computing
• RISC-V Architecture
• +۴ مورد دیگر

Adriano José Conceição Tavares is an Associate Professor at the School of Engineering, University of Minho, Portugal. He serves as a Senior Researcher at Centro ALGORITMI, where he is affiliated with both the IE R&D Group and the ESRG R&D Lab. His academic credentials include a PhD in Industrial Electronics from the University of Minho, a Master of Science in Information Technology from the University of Coimbra, and an undergraduate degree in Informatics from the University of Coimbra. Professor Tavares specializes in embedded systems with particular expertise in: Embedded systems modeling and design System software design System-on-chip design Real-time operating systems Hardware acceleration and FPGA design Virtualization for embedded systems IoT frameworks and protocols His publication record demonstrates a strong research trajectory in hardware-software co-design, with recent work showing an increasing integration of machine learning techniques into embedded systems. His publications span theoretical frameworks to practical implementations addressing real-time performance, resource constraints, and security challenges. Among his scholarly metrics: h-index of 18 126 publications with 1148 citations 20 publications in Q1/Q2 journals Author of a book on microcontroller programming Professor Tavares has supervised students including Miguel Ângelo Fernandes Silva and has established international collaborations through the Erasmus Program with institutions in China, Iran, Thailand, Jordan, and Cambodia. He teaches advanced courses on embedded and real-time systems modeling, compiler design, system-on-chip design, real-time operating system design, and advanced computer architectures at University of Minho.

• Embedded Systems
• Real-Time Systems
• System-on-Chip Design
• +۷ مورد دیگر

Filipa Barros is an Assistant Professor at the Faculty of Human Sciences of the Catholic University of Portugal. She is also an integrated member of the Católica Research Center for Psychological, Family and Social Wellbeing (CRC-W) and a collaborator member of the William James Center for Research, specifically with the Social Cognition and Body Odors Team. Her research focuses on social cognition processes, emotional processing, and visual/olfactory processing in both the general population and individuals on the autism spectrum. She employs multidisciplinary approaches combining psychological assessment, physiological measurements, and innovative technologies like bio-radar systems for emotion recognition. Analysis of her publication record reveals a strong trajectory in understanding the relationship between autism traits, anxiety, and sensory processing, particularly olfaction. Her work increasingly incorporates technological innovations for emotion recognition, showing an interdisciplinary approach that bridges psychology, neuroscience, and biomedical engineering. Barros maintains active clinical practice as a member of the Order of Portuguese Psychologists since 2017, working as a clinical psychologist in private practice. She also contributes to community initiatives as a mediator for school success in the project 'Mediators for School Success' developed by the Associação Empresários pela Inclusão Social. Her educational background includes a PhD in Psychology from the University of Aveiro, providing the foundation for her current research in psychological assessment, autism spectrum disorders, and emotion processing.

• Social Cognition
• Emotional Processing
• Visual Processing
• +۵ مورد دیگر