جست‌وجوی استاد و پژوهشگر

Onur Ulgenمشاهده پروفایل

استاد

• Industrial Engineering
• Discrete-Event Simulation
• Manufacturing Systems
• +۵ مورد دیگر

Onur Ulgen is a Professor in the Industrial and Manufacturing Systems Engineering department at the University of Michigan-Dearborn , where he has held positions since at least 2011. His work focuses on applying simulation techniques to solve complex problems in manufacturing and industrial systems. Education Ph.D., Industrial Engineering , Texas Technological University M.S., Industrial Engineering , Texas Technological University B.S., Mechanical Engineering , Robert College Research Interests Professor Ulgen specializes in Discrete-Event Simulation (DES) applications across multiple domains. His work addresses Automotive Manufacturing challenges like assembly line optimization, selectivity bank modeling, and deadlock prevention. He also investigates Steel and Metal Manufacturing systems, high-speed production lines, and Medical Logistics resource allocation. Key subfields include production scheduling, software selection for industrial simulation, and integrated systems modeling. Recent Article Trends His publications from 2015 to 2007 demonstrate a sustained focus on simulation for Automotive , Aerospace , and Healthcare industries. Topics include capacity planning, material handling optimization, and simulation-based design validation. Specific methodologies emphasize discrete-event simulation , throughput analysis , and deadlock prevention in complex systems. Grants and Projects Ford Motor Company (2011-2012): Modeling selectivity buffers for conflicting constraints in vehicle assembly SAP America, Inc. (2000): Nonlinear demand forecasting and inventory management uncertainty SME Education Foundation (1996-1997): Manufacturing engineering support

Jean-Yves Le Boudecمشاهده پروفایل

استاد

• Network Calculus
• Time-Sensitive Networking
• Deterministic Networking
• +۷ مورد دیگر

Jean-Yves Le Boudec is a Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Computer and Communication Sciences and the Institute of Electrical Engineering. He has been a key figure in advancing the theory and application of network calculus and deterministic networking, contributing significantly to standards such as IEEE Time-Sensitive Networking (TSN) and IETF DetNet. His research focuses on network calculus , time-sensitive and deterministic networking , traffic regulation , worst-case delay analysis , and cyber-physical systems , with cross-cutting applications in smart grids , real-time communication , and network security . He has co-authored foundational texts on network calculus and developed theoretical frameworks for traffic regulators, service curves, and delay bounds in complex networked systems. The recent publications highlight a strong trend in analyzing and improving performance guarantees in deterministic networks, including scheduling mechanisms like Deficit Round-Robin and Cyclic Queuing and Forwarding, traffic shaping via interleaved regulators, and security against time-synchronization attacks in power systems. The work spans theoretical modeling using stochastic and min-plus/max-plus algebra, practical algorithm design, and application to critical infrastructure. IEEE Fellow Le Boudec has advised numerous researchers and PhD students, including Ehsan Mohammadpour, Ludovic Thomas, and Seyed Mohammadhossein Tabatabaee. His collaborative projects often involve grants related to European and Swiss research initiatives in networking and smart grid technologies. He leads a research group focused on networked systems at EPFL, contributing to both theoretical advances and real-world implementations in industrial and energy-critical networks. His lab work centers on modeling and verification of time-sensitive network behaviors, integrating formal methods with practical experimentation. The team investigates regulators, shapers, and synchronization mechanisms, aiming to ensure robustness, predictability, and security in next-generation communication infrastructures. Future work continues to explore the interplay between communication, control, and energy systems in highly reliable environments.

• Human-Robot Interaction
• Machine Learning
• Robotics
• +۳ مورد دیگر

Parag Khanna is a Doctoral Student at the Division of Robotics, Perception and Learning , KTH Royal Institute of Technology. His work focuses on Human-Robot Interaction (HRI) , particularly in developing adaptive techniques for robot-human handovers. University: KTH Royal Institute of Technology Department: Robotics, Perception and Learning Khanna's research explores physical and social aspects of HRI . He studies human-human handovers to improve robotic grip release strategies and object weight adaptation. His work also delves into non-touch modalities like EEG and gaze tracking for intention detection. His recent publications highlight advancements in data-driven control , failure explanations , and multimodal datasets for HRI. Notable works include the REFLEX Dataset and studies on adaptive grip release in human-robot collaborations. Key Research Areas: Human-Robot Handovers Machine Learning for Robotics EEG and Gaze-Based Intention Detection Failure Communication in Social HRI Khanna is affiliated with the Digital Futures - Advanced Adaptive Intelligent Systems project, aiming to empower elderly and disabled individuals through autonomous robotics.

Tolga Aydinliyimمشاهده پروفایل

دانشیار

• Operations Management
• Operations Research
• Quantitative Modeling
• +۵ مورد دیگر

Tolga Aydinliyim is an Associate Professor of Operations and Decision Analytics at the Zicklin School of Business, Baruch College, within the City University of New York (CUNY) system. He serves in the Narendra Paul Loomba Department of Management and has held significant leadership roles including Coordinator of the Operations and Decision Analytics area since 2020 and previously served as the Management area Coordinator of the Zicklin PhD Program from 2018-2020. He was also the founding coordinator of the OMEGA research seminar series from 2015-2021. His educational background includes a PhD in Operations Research from Case Western Reserve University (2007) and a BS in Industrial Engineering from Middle East Technical University in Ankara, Turkey (2003). Professor Aydinliyim's research spans several critical areas in operations management with particular focus on the operations-marketing-economics interface, retail operations, revenue management and pricing, closed-loop supply chain management, and capacity allocation in supply chains and healthcare settings. His work addresses practical challenges in sustainable operations, consumer return behaviors, inventory disclosure strategies, and green product design. He approaches these topics through quantitative modeling and empirical analysis, developing frameworks that help organizations optimize their operational decisions while considering market dynamics and consumer behavior. His publication portfolio demonstrates consistent contributions to premier operations management journals. Recent work focuses on closed-loop supply chains, healthcare capacity allocation during crises, strategic consumer behavior regarding product returns, and the impact of inventory disclosure in online retailing. His research shows a clear progression from foundational work in subcontracting and capacity allocation toward more contemporary issues in sustainable operations, omnichannel retailing, and the intersection of operations with marketing and economics. 2021 M&SOM Meritorious Service Award Multiple Summer Research Support grants from Manufacturing 21 Lundquist College of Business Summer Research Support (multiple years) Center for Sustainable Business Practices Summer Research Award Dean's High Honor List at Middle East Technical University Full Tuition plus Stipend for Top 100 students in Turkey Professor Aydinliyim has secured multiple research grants from PSC-CUNY including projects on healthcare capacity rationing, green product line design, closed-loop supply chains, and omnichannel partnerships for managing product returns. He serves as an Associate Editor for Decision Sciences and OMEGA journals, and has held numerous editorial and conference committee positions including track organizer for major conferences like POMS and DSI. His service extends to reviewing for numerous prestigious journals across operations research and management science. He has established the OMEGA research seminar series which served as an important platform for scholarly exchange in operations management from 2015-2021. His research collaborations span multiple institutions and include partnerships with researchers from various disciplines addressing complex operational challenges in retail, healthcare, and sustainable supply chains.

Meng Yuanمشاهده پروفایل

استادیار

• Energy Systems Engineering
• Smart Energy Systems
• District Heating Systems
• +۶ مورد دیگر

Meng Yuan is an Assistant Professor in the Department of Sustainability and Planning at The Technical Faculty of IT and Design, Aalborg University, Denmark. With a strong focus on sustainable energy systems, Dr. Yuan contributes significantly to the university's research profile in green energy solutions and climate change mitigation. Dr. Yuan's research interests center on Smart Energy Systems, with particular expertise in renewable energy integration, district heating systems, and the development of advanced energy system models. Their work spans techno-economic and environmental analysis of low-carbon technologies at local, regional, and national scales, contributing directly to multiple UN Sustainable Development Goals, particularly those related to affordable and clean energy, industry innovation, and climate action. The publication record shows a strong focus on renewable energy transition pathways, with particular emphasis on hydrogen technologies, district heating optimization, and energy storage solutions. Dr. Yuan's research demonstrates a consistent trajectory toward increasingly complex energy system modeling and analysis, with recent work exploring sector coupling and cross-border energy solutions. "Best Paper Award" at the 1st African Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), May 2025 "Best Presenter" at the 10th International Conference on Low Carbon Asia (ICLCA), September 2024 Beijing Outstanding Graduates Award, June 2022 China National Scholarship at PhD level, 2020 Top 10 Outstanding Student Award at CUPB, 2020 As an active researcher, Dr. Yuan serves as an Ethics editor for Energy (Elsevier) and Sustainable Energy Technologies and Assessments (Elsevier), and has participated in numerous peer review activities. Current research projects include CARMA-Green Fuels Cross Mission Carbon Management, INNO-CCUS INFRASTRUCTURES, and ActRes: Agency for resilience – Making people and energy systems fit for climate change and crises, demonstrating significant engagement with both European and international research initiatives.

• Grid Computing
• Parallel Computing
• Cloud Computing
• +۴ مورد دیگر

Vladimír Siládi, PhD, serves as Assistant Professor and Head of the Department of Computer Science at Matej Bel University in Banská Bystrica, Slovakia, where he has held academic positions since 1995. His current roles include Project Coordinator for the Virtual University initiative and Registration Authority for SlovakGrid, with prior experience as a part-time Assistant Professor at Slovak University of Technology. Educational Background: PhD in Computer Science, Slovak University of Technology in Bratislava (1997-2007) Master's in Theology, Comenius University in Bratislava (2003-2008) Master's in Secondary Education and Teaching (cum laude) and PaedDr. (EdD), Matej Bel University (1988-1993, 2005) High School Diploma, GMN Banská Štiavnica (1984-1988) His research centers on Grid Computing architectures , parallel processing techniques , and security frameworks for distributed systems . Specialized expertise includes GPU-accelerated algorithms for NP-hard problems, trust models in ad hoc grid environments, and cloud-based educational platforms. His interdisciplinary work bridges computer science with environmental modeling and psychological applications through virtual reality systems. Publication analysis reveals a consistent focus on computational optimization across 12 major works (2006-2014), with recent contributions emphasizing trust intersection models for decentralized grids (2012-2013) and cloud-based educational infrastructure (2013). Earlier works established foundations in GPU-accelerated network topology optimization and genetic algorithms for irregular systems (2006-2010). Scientific Awards: No awards documented in source materials Project leadership includes the Virtual University of Matej Bel University (ITMS 26110230077) coordinating 85 team members across 280 courses, plus TEMPUS-FLACE distance learning development (1998-2000). His registration authority role for SlovakGrid since 2009 supports national research infrastructure. Departmental leadership involves managing the Computer Science team while teaching core courses in algorithms, grid technologies, and GPU programming, maintaining consultation hours for student engagement.

Francisco Castroمشاهده پروفایل

استادیار

• Auctions
• Market Design
• Online Display Advertising
• +۳ مورد دیگر

Francisco Castro is an Assistant Professor at the UCLA Anderson School of Management since 2020. His research bridges operations management and market design , focusing on spatial and incentive dynamics in digital marketplaces. Prior to UCLA, he served as a Postdoctoral Research Scientist at Uber , where he developed models for ride-hailing platforms and supply chain resilience during crises. Ph.D., Decision, Risk and Operations (2020, Columbia Business School) M.S., Mathematical Engineering (2014, University of Chile) B.S., Engineering Sciences (2013, University of Chile) Castro’s research explores optimal pricing policies and incentive-compatible contracts in platforms like Uber. His work on surge pricing frameworks (Management Science, 2021) and spatial capacity planning (Operations Research, 2021) has implications for ride-hailing, delivery logistics, and high-dimensional market design challenges. Recent projects address autonomous vehicle integration and spatial inequality risks in platform economies. His publications span journals like Operations Research , Games and Economic Behavior , and Management Science , with working papers examining matching queues , two-sided marketplace dynamics , and AI-driven market design . Castro emphasizes translating these insights into MBA curriculum , preparing students for post-pandemic economic shifts through creative problem-solving and data-driven decision frameworks .

• Electrical Engineering
• Computer Engineering
• Wireless Sensor Networks
• +۵ مورد دیگر

Mahmut Tenruh is an Associate Professor at Muğla Sıtkı Koçman University, Faculty of Engineering, Department of Electrical and Electronics Engineering. He holds a bachelor's degree from Gazi University and a Ph.D. from the University of Sussex. His research focuses on wireless sensor networks, CAN protocols, embedded systems, and renewable energy applications. 2024: Performance analysis of photovoltaic systems in Yemen 2021: Robotics control systems and intelligent vehicle suspension design 2019: Time-triggered CAN FD protocol for real-time distributed control 2015-2014: Network modeling, solar data tracking, and scheduling optimization His work has been cited 23 times across various publications. He has supervised over 20 graduate theses and led multiple TÜBİTAK-funded projects, including remote pool control systems and wireless security solutions. TÜBİTAK Scientific Award (2011) Muğla Sıtkı Koçman University Scientific Award (2011)

• Artificial Intelligence
• Distributed Computing
• Energy Communities
• +۳ مورد دیگر

Rafael Duarte Pereira da Silva is a Research Fellow at the Research Group on Engineering and Intelligent Computing for Innovation and Development (GECAD) within the School of Engineering of the Polytechnic Institute of Porto. He is currently pursuing his doctoral degree in Artificial Intelligence and Intelligent Systems Engineering while developing AI-driven solutions for energy communities and smart buildings. His academic background includes: Master's degree in Artificial Intelligence Engineering (2025) from the Polytechnic Institute of Porto, with a dissertation on "Distributed Intelligent Management of Citizen Communities" (grade: 19/20). Bachelor's degree in Computer Engineering (2022) from the Polytechnic Institute of Porto, featuring a green computing project for smart building energy management. Currently enrolled in a doctoral program in Artificial Intelligence and Intelligent Systems Engineering (since 2025). Rafael's research spans Artificial Intelligence, Distributed Computing, and Energy Communities, focusing on human-centric intelligent systems for resource optimization. He develops virtual energy communities using IoT devices and AI models to enable dynamic interaction with community members while managing distributed resources. His work emphasizes sustainability through green computing principles and integration of renewable energy sources in smart infrastructure. His 2024-2025 publications reveal a cohesive research trajectory centered on the Caravels framework for decentralized energy management. Key themes include container-based infrastructure for community resource sharing, peer-to-peer energy trading with storage optimization, and AI-driven demand response systems. His work bridges theoretical AI models with practical IoT implementations, particularly in energy forecasting and HVAC control, demonstrating significant contributions to sustainable consumption in smart buildings and community-scale energy systems. Advising Co-supervised three undergraduate thesis projects at the Polytechnic Institute of Porto on IoT notification systems, Linux-based single-board computer configuration, and open-source IoT devices for smart buildings. Grants and Projects Sa4CPS: Secure situational awareness for critical cyber-physical systems (COMPETE2030-FEDER and ITEA) NGS: New Generation Storage (PRR initiative) TIoCPS: Trustworthy and Smart Communities of Cyber-Physical Systems (P2020 and ITEA programs) As an active GECAD member, Rafael contributes to server infrastructure management and organizes scientific events, including public demonstrations that secured the group's "Excellent" FCT evaluation rating. He has coordinated annual team energizing events for two consecutive years and participated in developing virtual energy community systems that showcase GECAD's research impact in distributed computing and IoT integration.

• Cybersecurity
• Game Theory
• Quantum Cryptography
• +۵ مورد دیگر

Stefan Rass is a Professor at the Institute of Networks and Security within the Faculty of Engineering & Natural Sciences at Johannes Kepler University Linz (JKU), where he leads the LIT Secure and Correct Systems Lab. As Principal Investigator for FFG-funded projects including reSilienz (digital supply chain resilience, 2023–2025) and ITPUK (AI signature verification, 2022–2024), he bridges theoretical game theory with practical cybersecurity solutions for critical infrastructures and robotics systems. His research spans game-theoretic security models (patrolling games, defense-in-depth strategies), quantum cryptography (QKD network architectures), and cyber deception frameworks like Honeyquest for measuring honeypot effectiveness. Recent work addresses robotics security benchmarking (RobotPerf), cryptographic instruction chaining for control flow protection, and risk assessment methodologies for interdependent infrastructures. His mathematical decision-making approach integrates bounded rationality and stochastic modeling to solve real-world security challenges. Professor Rass actively shapes the field through program committee roles (ARES 2023), peer reviews, and invited talks on security transparency. His current projects focus on cost-benefit-aware monitoring for cyber-physical systems and quantum key distribution standardization, reflecting Austria’s strategic priorities in digital resilience. The LIT Secure and Correct Systems Lab under his direction develops foundational theories while deploying tools for industrial applications, particularly in critical infrastructure protection and secure robotics workflows.

Xiaoyan Hongمشاهده پروفایل

دانشیار

• Distributed Systems
• Internet of Things (IoT)
• Wireless Communications
• +۴ مورد دیگر

Dr. Xiaoyan Hong is an Associate Professor in the Department of Computer Science at The University of Alabama's College of Engineering. Her research focuses on mobile/wireless networks, vehicular networks, and delay-tolerant systems. Ph.D., Computer Science, University of California-Los Angeles (2003) M.S., Computer Science, Zhejiang University (2000) Research spans Internet of Things (IoT) , Connected Vehicles , and Underwater Wireless Networks . Key projects include NSF-funded underwater robot communication infrastructure and smart traffic light systems. Recent work explores Named Data Networking (NDN) in vehicular environments, Task Synchronization for autonomous vehicles, and V2I Communication for traffic optimization. NSF Research Experience for Undergraduates (REU) grant recipient $1.5M NSF grant for underwater robotics networking Her research integrates with multiple engineering centers, including the Center for Advanced Vehicle Technologies and Center for Transportation Operations .

Konstantinos Kantelisمشاهده پروفایل

استادیار

• Biological Nanonetworks
• Electromagnetic Nanogrids
• Hybrid Nanonetworks
• +۵ مورد دیگر

Konstantinos Kantelis is an Assistant Professor at the Department of Informatics, Aristotle University of Thessaloniki, specializing in Biological Nanonetworks. He holds a PhD in Nanonetworks and has extensive professional experience as a Software Engineer/Manager at Piraeus Bank (2007-2023), preceded by system administration roles at Marfin-Egnatia Bank (2007-2014). Education: PhD in Nanonetworks (2018), Department of Informatics, Aristotle University of Thessaloniki MSc in Nanotechnology and Nanosciences (2012), Department of Physics, Aristotle University of Thessaloniki MSc in Computer Systems Technology (2006), Department of Informatics and Telecommunications, National University of Athens BSc in Mathematics (2003), Department of Mathematics, Aristotle University of Thessaloniki His research focuses on Biological Nanonetworks, Electromagnetic Nanogrids, and energy-efficient wireless communication protocols for IoT systems. He has contributed to projects like Maestro, IntelTriage, and AYGEIAS, developing protocols for LoRaWAN networks and WDM backbone resilience. Recent publications address spatial scheduling in LoRaWAN, earthquake-tolerant routing, and reinforcement learning-assisted protocols. His work bridges nanoscale communication theory with practical IoT implementations, emphasizing energy efficiency and reliability. As an educator, he teaches graduate courses in Communication Networks, Advanced Topics in Biological Nanonetworks, and Applied Mathematics, alongside postgraduate courses in Networks and Internet (2019-2021).

Bedi Cenk Balçıkمشاهده پروفایل

مدرس

• Biomechanics
• Materials Science
• Biomedical Engineering
• +۳ مورد دیگر

Dr. Öğr. Üyesi Bedi Cenk Balçık, Baskent University Faculty of Engineering, Department of Mechanical Engineering, Ankara, Turkey. He holds a PhD in Engineering Sciences (2002) from Middle East Technical University (METU), with MSc (1996) and BSc (1993) in Mechanical Engineering from the same institution. Doktora: Mühendislik Bilimleri, Orta Doğu Teknik Üniversitesi (2002) Yüksek Lisans: Mühendislik Bilimleri, Orta Doğu Teknik Üniversitesi (1996) Lisans: Makine Mühendisliği, Orta Doğu Teknik Üniversitesi (1993) His research focuses on Biomechanics , Biomedical Engineering , and Advanced Materials Analysis , particularly in orthopedic applications, implant material testing, and finite element modeling. He has contributed to studies on tendon healing, fracture fixation techniques, and biomaterials for bone repair. Recent publications highlight his work in biomechanical testing of surgical fixation methods (2024-2003), biomaterials research for dental and orthopedic applications (2018-2012), and finite element analysis in structural engineering (2006). His work spans animal models , clinical material testing , and computational simulation . Dr. Balçık teaches courses including Materials Science (MAK 205) , Finite Element Analysis (MAK 413) , and Computer-Aided Design (SAP 507/MAK 536) . His office is located in Room D311, Faculty of Engineering, with contact number +90 (312) 246 66 66 Ext. 4128.

Mehmet Kizilمشاهده پروفایل

دانشیار

• Mine Planning and Design
• Mining Systems
• Production Analysis and Improvement
• +۷ مورد دیگر

Associate Professor Mehmet Kizil is the Mining Engineering Program Leader at the School of Mechanical and Mining Engineering, The University of Queensland. With a career spanning 25+ years, he holds a Bachelor of Mining Engineering (1986) from Dokuz Eylul University (Turkey) and PhD (1993) from the University of Nottingham (UK). His affiliations include being an affiliate of Future Autonomous Systems and Technologies and active participation in Mining Education Australia. School of Mechanical and Mining Engineering Australian Research Council (ACARP, CRCTiME, MRIWA, SIMTARS, industry partners) Research interests focus on mine planning/design, production optimization, computer/virtual reality applications, and mine ventilation systems. His 2025-2024 publications highlight innovations in FMIPCC systems, methane dispersion modeling, digital twins for mineral processing, and sustainable underground mining. Notable scientific achievements include being recognized as Higher Education Academy Senior Fellow (2018) and receiving national teaching awards. His work with industry partners (Newcrest, Rio Tinto, BHP, Xstrata, Anglo American, Origin Energy, Iluka Resources) has secured over $3M in research funding.

Jamie Owen-DeSchryverمشاهده پروفایل

استاد

• Clinical Psychology
• Autism Spectrum Disorder
• Educational Interventions
• +۳ مورد دیگر

Jamie Owen-DeSchryver is a Professor in the Psychology Department at Grand Valley State University, specializing in Clinical Psychology with a focus on Autism Spectrum Disorder (ASD). Holding a PhD from SUNY Stony Brook, they combine academic research with practical applications in educational settings. Education: B.A. from Kalamazoo College M.A. from Johns Hopkins University Ph.D. from State University of New York at Stony Brook Their research centers on implementing educational and behavioral interventions for individuals with ASD across developmental stages, from preschool to college. Current projects include the Statewide Autism Resources and Training (START) initiative, funded by MDE/OSEP, where they develop materials and provide technical assistance to schools in Michigan. Recent publications highlight expertise in video modeling, visual supports, self-management systems, peer supports, and opportunities-to-respond techniques. They also mentor graduate students in school psychology on intervention strategies for K-12 students with diverse needs, including ADHD, learning disabilities, and anxiety disorders. Contact: Office: 1319 Au Sable Hall Phone: (616) 331-8703 Email: owendesj@gvsu.edu