جست‌وجوی استاد و پژوهشگر

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.

Paul M. Vaalerمشاهده پروفایل

استاد

• Migrant remittances and entrepreneurship
• Sovereign risk and credit rating agencies
• Political business cycles in emerging democracies
• +۳ مورد دیگر

Paul M. Vaaler is the John and Bruce Mooty Chair in Law & Business with joint appointments at the University of Minnesota's Carlson School of Management (Department of Strategic Management & Entrepreneurship) and Law School. He holds a PhD from University of Minnesota (1997), JD from Harvard Law (1988), MA from Oxford as a Rhodes Scholar (1985), and BA from Carleton College (1983). His research integrates business, law, and policy with focus areas including: Migrant remittances and venture investment in developing economies Sovereign risk assessment and credit rating agencies Political business cycles in emerging democracies Technology industry performance dynamics Data privacy regulation impacts Vaaler's publications demonstrate consistent focus on international business policy, with recent work examining data breach laws, diaspora institutions, and discriminatory market practices. His methodological approach combines empirical analysis of institutional impacts with practical policy implications. Honors include: Academy of International Business Fellow (2020-Present) Fulbright Scholar to South Africa (2019-2020) Sanjaya Lall Visiting Professorship at Oxford (2012) Rhodes Scholarship for Oxford studies He holds editorial leadership roles including Co-Editor-in-Chief of SSRN's Global Business Issues journal and Senior Editor for Journal of International Business Policy . From 2015-2019, he provided business commentary for WCCO Radio.

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.

Burhaneddin Sandikciمشاهده پروفایل

دانشیار

• Decision-Making Under Uncertainty
• Medical Decision Making
• Healthcare Operations
• +۳ مورد دیگر

Burhaneddin Sandikci is an Associate Professor of Operations Management at the Booth School of Business, University of Chicago . His research focuses on decision-making under uncertainty in medical decision-making and healthcare operations , using advanced methodologies such as Markov decision processes , stochastic programming , and simulation . His recent work includes: Equilibrium analysis of marginal organ transplantation to address shortages. Modeling breast cancer screening with supplemental tests for high-risk patients. Developing parallel bounding methods for multistage stochastic programs . His publications appear in top-tier journals like Operations Research , Management Science , and Hepatology . He has received prestigious awards including the IIE Pritsker Doctoral Dissertation Award and INFORMS Bonder Scholarship . His research bridges operations management with healthcare policy , impacting organ allocation, transplant outcomes, and hospital capacity optimization.

• Printmaking
• 3D Printing
• Digital Art Technologies
• +۵ مورد دیگر

Stephen Hoskins is Professor of Fine Print and Founder of the Centre for Fine Print Research (CFPR) at the University of the West of England, Bristol, based at the Bower Ashton Campus within the College of Arts, Creative Industries and Education. His academic career spans decades of pioneering work bridging traditional printmaking techniques with cutting-edge digital technologies. Hoskins' research philosophy centers on the physical artifact, primarily predicated in print, with a focus on the relationship between technology and making from a practitioner perspective. His primary research areas include the potential of 3D printing and related digital technologies for the arts, and the tactile surface of printed artifacts and its consequences for digital technology. He has developed a unique position of understanding digital and new media technologies while always relating them to physical output and creativity. His publications reveal a consistent focus on the intersection of historical printmaking techniques with contemporary digital fabrication methods, particularly exploring the tactile qualities of printed surfaces, ceramic applications of 3D printing, and the sustainability of art-making practices. The research trajectory shows increasing sophistication in merging 19th century photomechanical processes with 21st century digital technologies. Hoskins has maintained an exceptional record of industry collaboration, working with major partners including Hewlett Packard (for whom he held a sponsored Professorial Chair from 2004 to 2014), Renishaw PLC, Burleigh Pottery, Denby Pottery, Dycem, and Viridis3D. His approach emphasizes interdisciplinary understanding and practical application of research findings. As a practicing printmaker and author of three books including '3D Printing for Artists, Designers and Makers' (Bloomsbury), 'Water based Screenprinting,' and 'Inks,' plus over 40 peer-reviewed papers and three patents, Hoskins has established himself as a leading authority in the field of fine print research and digital fabrication for artists.

• Photonics
• Quantum Optics
• Nonlinear Optics
• +۵ مورد دیگر

Ayhan Demircan is an Adjunct Professor at the Leibniz School of Optics and Photonics in Leibniz University Hannover. He leads the Micro and Nano Photonics task group and contributes to institutions including the Institute of Quantum Optics , Ultrafast Laser Laboratory , and Hannover Centre for Optical Technologies (HOT) . His work spans photonics, quantum optics, and nonlinear dynamics, with applications in terahertz technology, soliton physics, and optical modeling. Research Interests: Photonics, quantum optics, terahertz radiation, soliton dynamics, nanophotonics, and computational modeling of optical systems. Key Institutions: Leibniz School of Optics and Photonics, Institute of Quantum Optics, HOT, and PhoenixD Cluster of Excellence. Technical Expertise: Develops Python-based tools for nonlinear Schrödinger equations, optical parametric oscillators, and ultrafast laser systems. Contact: demircan@iqo.uni-hannover.de

Jaeyoung Haمشاهده پروفایل

استادیار

• Mental Health and Wellbeing
• Restorative Environments
• Social and Environmental Justice
• +۷ مورد دیگر

Jaeyoung Ha is an Assistant Professor in Landscape Architecture at Virginia Tech's School of Design. His research focuses on the intersection of environments and human well-being, leveraging immersive visualization technologies, and advancing climate resilience strategies. Ph.D. in Environmental Design and Planning, Kansas State University Master of Landscape Architecture (MLA), Seoul National University Bachelor of Science in Landscape Architecture, Pusan National University Mental Well-being: Investigates how landscapes influence psychological restoration through biodiversity and spatial patterns, employing VR experiments and observational studies. Immersive Visualization: Pioneers AR/VR applications in landscape education and design decision-making. Climate Resilience: Conducts interdisciplinary research on green infrastructure and urban heat island mitigation. His 15 most recent publications span 2017–2025, with recurring themes of mental health assessment , 3D urban morphology , multisensory landscape evaluation , and ecosystem services quantification . Articles combine theoretical exploration and data-driven methodologies across diverse urban contexts.

Alexandra-Andreea Mironescuمشاهده پروفایل

مدرس

• Logistics
• Supply Chain Management
• Operations Management
• +۵ مورد دیگر

Alexandra-Andreea Mironescu serves as a Lecturer at the Faculty of Management-Marketing, Romanian-American University in Bucharest, with dual expertise in academic instruction and operational logistics management. She concurrently holds the position of Logistics Manager for Europe and Asia, overseeing intermodal transport (maritime, rail, road, air) and 3PL warehousing operations across B2B/B2C segments. Bachelor's in Management, Bucharest Academy of Economic Studies (2006) Bachelor's in Law, Romanian-American University (2006) Master's in Business Management, Romanian-American University (2008) Her research specializes in logistics systems optimization, focusing on process modeling for integrated software implementations (SFA-CRM-ERP-WMS), SKU database auditing, and operational flow analysis. She investigates critical challenges in digitalized reporting automation and predictability within global supply chains, emphasizing practical technological applications for efficiency gains. With 16 years of teaching experience across Romania, Lithuania, Czech Republic, Poland, and Hungary, she delivers specialized courses in Supply Chain Management, Logistics Operations, and Human Capital. Her pedagogy integrates 14 years of field logistics experience to reduce student workplace onboarding time, prioritizing immediate skill applicability and career advancement through professional retraining frameworks.

• Digital Forensics
• Cybersecurity
• Incident Response
• +۵ مورد دیگر

Professor Vasilis Katos is a Professor in Cyber Security at Bournemouth University, specializing in digital forensics, incident response, and intellectual property security. With over 160 publications and extensive industry experience as an Information Security Consultant, he serves as an expert witness in criminal courts in both the UK and Greece. His research has significant impact in digital forensics for intellectual property infringement investigations through collaborations with the EU Intellectual Property Office (EUIPO) and UNICRI. Professor Katos holds a Diploma in Electrical Engineering from Democritus University of Thrace, an MBA from Keele University, and a PhD in Computer Science (network security and cryptography) from Aston University. He is a certified Computer Hacking Forensic Investigator (CHFI) with extensive practical experience in cybersecurity. His research primarily focuses on digital forensics and incident response, with recent emphasis on intellectual property infringement investigations, IoT security, blockchain applications, and traffic prediction systems. His work bridges academic research with practical security applications, particularly in intellectual property protection and smart city security frameworks. Professor Katos has coordinated significant research projects including Illegal IPTV in the European Union and IP Infringement on online trading platforms, funded by the EUIPO Observatory. His extensive publication record shows strong trends in digital forensics, cybersecurity for intellectual property protection, IoT security, and increasingly in smart city security frameworks. The research demonstrates a progression from foundational cybersecurity work to specialized applications in intellectual property protection and circular economy security models, with recent incorporation of AI and machine learning techniques for threat intelligence and traffic prediction. Certified Computer Hacking Forensic Investigator (CHFI) Editorial Board Member of Computers & Security Journal Professor Katos has successfully supervised multiple PhD students including Amalia Damianou (Digital Forensics in Smart, Circular Cities), Christos Iliou (Machine Learning Based Detection and Evasion Techniques for Advanced Web Bots), and Mohammed Al Qurashi (Intrusion Detection for IoT). He has secured significant research funding including the ECHO project (European network of Cybersecurity centres), IDEAL-CITIES, and multiple EUIPO-funded initiatives focusing on intellectual property protection. His work connects with the Centre for Intellectual Property Policy & Management (CIPPM) at Bournemouth University, where he contributes to research on intellectual property in emerging technologies. Professor Katos maintains active collaborations with international organizations including UNICRI and the EU Intellectual Property Office, focusing on practical applications of digital forensics in intellectual property protection.

Maurizio Bevilacquaمشاهده پروفایل

استاد

• Industrial Engineering
• Digital Twin Technology
• Industry 4.0
• +۴ مورد دیگر

Maurizio Bevilacqua serves as a Full Professor in the Department of Industrial Engineering and Mathematical Sciences at the University of Ancona (Università Politecnica delle Marche). His academic focus falls under the scientific sector IIND-05/A - Impianti industriali meccanici (Mechanical Industrial Plants). Based at the university's Engineering faculty located at Via Brecce Bianche in Ancona, Italy, Professor Bevilacqua maintains an active research profile with numerous publications spanning industrial engineering, digital transformation, and smart manufacturing technologies. Professor Bevilacqua's research interests center on cutting-edge industrial engineering topics including Digital Twin technology, Industry 4.0 implementation, smart retrofitting of industrial machinery, maintenance engineering, and robotics applications in manufacturing. His work demonstrates particular expertise in applying these technologies to challenging sectors such as oil and gas, food manufacturing, and maritime transportation. His research bridges theoretical innovation with practical industrial applications, as evidenced by his numerous case studies across different manufacturing sectors. An analysis of his recent publications (2023-2025) reveals a strong emphasis on digital transformation in industrial settings, with particular focus on Digital Twin implementations across various sectors. His work shows a progression from foundational Industry 4.0 concepts toward more sophisticated applications including Digital Triplet frameworks and human-machine integration approaches that anticipate Industry 5.0 paradigms. Many of his studies combine multiple advanced techniques such as machine learning, fuzzy cognitive maps, and association rule mining to solve complex industrial problems. Professor Bevilacqua's research demonstrates strong industry collaboration, with numerous case studies conducted in real industrial settings across multiple sectors including oil and gas, food manufacturing, and maritime transportation. While specific grant information isn't provided in the available materials, his extensive publication record suggests active participation in research projects that bridge academic theory with practical industrial implementation. His work frequently addresses challenges related to legacy system modernization, operational resilience, and sustainable manufacturing practices. Though specific laboratory affiliations aren't detailed in the available information, Professor Bevilacqua's research appears to focus on industrial applications of digital technologies, suggesting collaboration with industrial partners and possibly university research centers focused on manufacturing innovation, robotics, and industrial IoT. His work on smart retrofitting solutions indicates involvement with projects that transform conventional machinery into intelligent systems capable of integration within modern digital manufacturing ecosystems.

Anand Veeraragavanمشاهده پروفایل

استاد

• Hypersonics
• Supersonic Combustion
• Advanced Optical Diagnostics
• +۳ مورد دیگر

Professor Anand Veeraragavan is a leading expert in hypersonics and combustion at the University of Queensland's School of Mechanical and Mining Engineering. As Centre Director of the Centre for Hypersonics and Associate Editor of the AIAA Journal of Spacecraft and Rockets, he drives international research initiatives and technical standards. B.Tech (IIT-Madras), MS/PhD (University of Maryland) Co-Director, Centre for Hypersonics Mid-Career Advance Queensland Research Fellow (2017-2020) His research spans supersonic combustion of hydrocarbons, hypersonic aerothermodynamics , advanced optical diagnostics (PLIF, FLDI), and microcombustion power systems . Current projects focus on Boundary Layer Transition (BOLT II) simulations and scramjet cavity optimization for supersonic combustion. Recent publications emphasize fuel injection dynamics in hypersonic flows, cavity flameholding mechanisms, and thermal management for scramjets. His team develops 3D numerical models and experimental diagnostics for shock-turbulence interactions. Best Thesis Award, University of Maryland (2009) Associate Editor, AIAA Journal of Spacecraft and Rockets (2021-present) Advance Queensland Mid-Career Fellowship (2017-2020) Supervising PhD researchers on topics including cavity flame holders, hypersonic boundary layer transition, and turbulent transport mechanisms. Collaborations with UQ's Centre for Hypersonics, MIT, and GE Energy inform his work.

René Vidalمشاهده پروفایل

استاد

• Machine Learning
• Computer Vision
• Biomedical Data Science
• +۳ مورد دیگر

René Vidal is the Rachleff & Penn Integrates Knowledge (PIK) University Professor at the University of Pennsylvania, with appointments in the Departments of Electrical and Systems Engineering, Radiology, Computer and Information Science, and Statistics and Data Science. He also serves as Director of the Center for Innovation in Data Engineering and Science (IDEAS) and the NSF-Simons Collaboration on the Mathematical Foundations of Deep Learning (THEORINET). A dual faculty member at Johns Hopkins University in Biomedical Engineering, Computer Science, and other departments, Vidal is an Amazon Scholar and Affiliated Chief Scientist at NORCE. PhD, Electrical Engineering and Computer Sciences, University of California, Berkeley (2003) M.S., Electrical Engineering, University of California, Berkeley (2000) B.S. (valedictorian), Electrical Engineering, Pontificia Universidad Catolica de Chile (1997) His research spans the mathematical foundations of deep learning, focusing on non-convex optimization , learning dynamics , and overparametrization . Key contributions include Sparse Subspace Clustering , Kernel GPCA , and Low-Rank Matrix Factorization , with applications in autism diagnosis , robotic surgery , and cardiac imaging . Recent work explores continual learning , adversarial robustness , and trustworthy AI in biomedical contexts. His 15 most recent publications highlight advances in medical imaging , language models , and robust computer vision , spanning topics from chest X-ray analysis to motor imitation tasks in autism . Articles like Geometric Analysis of Nonlinear Manifold Clustering underscore his theoretical contributions, while works on KDA: Knowledge-Distilled Attacker and Conformal Information Pursuit address practical AI safety and interpretability. Scientific accolades include: 2022 ACM Fellow 2021 IEEE McCluskey Technical Achievement Award 2017 Jean D’Alembert Fellowship 2012 J.K. Aggarwal Prize 2009 Sloan Research Fellow 2005 NSF CAREER Award His lab mentors 11 current PhD students across Johns Hopkins and University of Pennsylvania , with alumni contributing to institutions like Meta , Amazon , and GE Research . Vidal’s interdisciplinary work bridges mathematics , engineering , and healthcare , supported by grants from the DoD , NSF , and ONR .

Stephanie Weirichمشاهده پروفایل

استاد

• Programming Languages
• Dependent Types
• Type Systems
• +۳ مورد دیگر

Stephanie Weirich is the ENIAC President's Distinguished Professor in the Department of Computer and Information Science at the University of Pennsylvania's School of Engineering and Applied Science. Her research focuses on programming languages, with emphasis on dependent types, formal verification, and functional programming semantics. She leads Penn's Programming Languages Group (PLClub) and teaches courses including Advanced Programming (CIS 5520) and Programming Languages and Techniques (CIS 120). Research Areas: Her work spans theoretical foundations and practical implementations, including type systems for security, mechanized program verification, cost analysis for lazy evaluation, and language-based techniques for probabilistic programming. Recent projects explore indistinguishability in dependent types and effects systems for resource-aware computation. Honors: SIGPLAN Robin Milner Young Researcher Award (2016) NSF CAREER Award (2004) Microsoft Outstanding Collaborator (2016) Most Influential Paper Award, ICFP (2016) DARPA Computer Science Study Panel (2007-2008) Advising: Mentored 15+ PhD graduates including Richard Eisenberg (2016 Reynolds Award winner) and Vilhelm Sjöberg. Current students work on stratified type theory and mechanized logical relations. Secured grants from NSF and DARPA for research in dependently typed systems. Collaborations: Leads the PLClub research group; collaborates with industry (Microsoft) on Haskell extensions and verification tools like Hs-to-Coq.

Michael Dinitzمشاهده پروفایل

دانشیار

• Theoretical Computer Science
• Approximation Algorithms
• Online Algorithms
• +۵ مورد دیگر

Michael Dinitz is an Associate Professor in the Department of Computer Science at Johns Hopkins University with a secondary appointment in the Department of Applied Mathematics and Statistics . He is a member of the Algorithms and Complexity group and the Mathematical Institute for Data Science . His research focuses on Theoretical Computer Science , with emphasis on approximation algorithms , online algorithms , and distributed algorithms , particularly in applications to computer networking , distributed systems , and machine learning . His recent work involves differential privacy , dynamic networks , and resilient network design . His publications cover diverse topics in graph theory , privacy-preserving algorithms , and online optimization , with a focus on practical applications of theoretical results. He has received multiple NSF grants including a CRII award and Algorithms in the Field funding, and was honored with the Professor Joel Dean Excellence in Teaching Award . He advises a research group with PhD, MSE, and undergraduate students , and serves on program committees for leading theory conferences like FOCS , STOC , and ICALP . Education PhD in Computer Science, Carnegie Mellon University (2010), advised by Anupam Gupta AB in Computer Science, Princeton University (2005), advised by Sanjeev Arora Grants & Awards NSF CRII Grant (2015) NSF Algorithms in the Field Grant (2016) Multiple NSF Algorithmic Foundations grants (2019, 2022, 2025) NSF Graduate Research Fellowship (2005-2010) ARCS Foundation Scholarship (2005-2010) Best Paper Awards at ICDCS (2014) and DISC (2017)

• Sourcing Strategy
• E-Procurement
• Supply Chain Flexibility
• +۵ مورد دیگر

Santosh Mahapatra serves as Professor in the Operations & Information Systems Department at Clarkson University's Reh School of Business, teaching core courses including Quality Management, Logistics Strategy, Strategic Sourcing, and Environmental Supply Chain Management. Education: Ph.D. from Michigan State University Research Focus: His work bridges theoretical operations management with practical sustainability challenges, emphasizing Sourcing Strategy, E-Procurement, Supply Chain Flexibility, Environmental Management, and Remanufacturing. Key contributions address carbon footprint reduction, closed-loop operations, and risk-averse procurement in complex supply networks. Publication Trends: Recent research (2021-2024) reveals intensified focus on environmental sustainability, with significant output on closed-loop supply chains, carbon management, and luxury sector supplier development. His methodology combines empirical data analysis with mathematical modeling to solve real-world operational dilemmas.