جستجوی استاد راهنمای دانشگاهی

Professor Michael Pitt serves as the Director of Teaching and Learning at The Bartlett School of Sustainable Construction, University College London (UCL) . He is also a Professor of Facilities Management and has held academic positions at Liverpool John Moores University and Heriot Watt University. With over 200 publications, his work bridges academic research and industry applications in facilities management (FM) and sustainable construction. Academic Roles: Professor of Facilities Management (UCL), Reader, Lecturer International Collaborations: Visiting Professor at University of Malaya, Malaysia; partnerships with Malaysian Public Works Department (JKR) and CREAM (Malaysian Property Research Centre) Research Interests focus on facilities management, sustainability, and digital twin technology. Key areas include: Productivity and efficiency in workplace environments Sustainability strategies and performance measurement Digital twins for healthcare and infrastructure resilience Indoor environmental quality (IEQ) and occupant concentration Medical waste management in developing countries Climate-responsive building design for elderly populations Scientific Contributions include editorial leadership as Editor of the Journal of Facilities Management since 2001 and Fellow of the Royal Institution of Chartered Surveyors since 2000. His recent publications emphasize AI-driven asset management, blockchain-integrated healthcare systems, and climate adaptation strategies. Teaching encompasses modules on Service Operations Management and Principles of Facilities and Asset Management for the MSc in Digital Innovation in Built Asset Management at UCL.

• Facilities Management
• Sustainable Construction
• Digital Twins
• +۴ مورد دیگر

Dr. Debankur Mukherjee is the Leo and Louise Benatar Early Career Professor and Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. His research bridges applied probability, stochastic processes, and computer science with applications to data centers, cloud networks, and machine learning. Ph.D. in Stochastic Operations Research (Eindhoven University of Technology, 2018) M.Stat. in Mathematical Statistics and Probability (Indian Statistical Institute, 2014) B.Sc. in Statistics (University of Calcutta, 2012) His work focuses on load balancing in large-scale systems, stochastic process scaling limits , random graphs , and online sequential decision-making . He develops foundational theories for modern algorithms in cloud networks and data centers, including power-of-d load balancing and smoothed optimization . Google Scholar articles (2025-2023) highlight his contributions to mean-field models , distributed algorithms , and ML-augmented capacity scaling . Scientific awards include the ACM SIGMETRICS Rising Star Award (2025), Best Paper Award at ACM SIGMETRICS (2023), INFORMS JFIG Paper Competition Finalist (2022), Best Student Paper Award at ACM SIGMETRICS (2018), and Ph.D. thesis cum laude (2018). He serves on editorial boards of Stochastic Systems , Queueing Systems , and Stochastic Models . Dr. Mukherjee leads NSF-funded projects: $800k CPS grant (2023-2026) on data-driven robustness in dynamic teams and a $439k CIF grant (2021-2024) on cloud network load balancing. He mentors Ph.D. students in probability theory and stochastic processes. Affiliated with Georgia Tech's Algorithms, Combinatorics and Optimization (ACO) , Algorithms, Randomness and Complexity Center (ARC) , and Center for Machine Learning (ML@GT) , he contributes to conferences like ACM SIGMETRICS, IFIP Performance, and International Teletraffic Congress.

• Applied Probability
• Stochastic Processes
• Computer Science
• +۷ مورد دیگر

Wengang Mao serves as an Assistant Professor in Marine Engineering at Chalmers University of Technology, where his research focuses on enhancing the energy efficiency and safety of shipping operations through advanced computational methods and digitalization. His work bridges traditional marine engineering with cutting-edge artificial intelligence techniques to address contemporary challenges in maritime transportation. Dr. Mao's research interests center on four main areas: (1) Machine learning and AI applications for ship performance and response modeling; (2) Ship weather routing and voyage optimization for energy-efficient shipping; (3) Autonomous shipping technologies including route planning, optimal control, and smart navigation systems; and (4) Statistical modeling of hydrodynamic loads, fatigue safety, and environmental conditions. His interdisciplinary approach combines marine engineering fundamentals with data science to develop practical solutions for the maritime industry. Analysis of his recent publications reveals a strong trend toward integrating machine learning techniques with traditional marine engineering problems. His work demonstrates increasing focus on autonomous shipping systems, environmental sustainability through optimized routing, and advanced fatigue assessment methods for marine structures. The research spans both theoretical developments and practical applications, with particular emphasis on real-world validation using ship operational data. Dr. Mao has contributed significantly to the field through numerous collaborative projects, though specific grant information isn't detailed in the available text. His research has practical implications for ship operators seeking to reduce fuel consumption and emissions while maintaining safety standards in increasingly complex maritime environments. His work appears to be closely connected with maritime industry applications, particularly in the areas of voyage optimization systems and ship performance monitoring, suggesting strong industry-academia collaboration in his research activities.

• Machine Learning
• Artificial Intelligence
• Ship Performance Modeling
• +۷ مورد دیگر

Alexander Stolyar is Professor in the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana-Champaign , where he has taught courses on stochastic processes, queueing systems, and service engineering. Before joining Illinois in January 2017, he was the Timothy J. Wilmott Endowed Chair Professor at Lehigh University (2014–2017) and spent nearly two decades in industrial research at Bell Laboratories , Motorola, and AT&T Labs-Research. Stolyar’s research centers on stochastic modeling of large-scale communication, information, and service systems , including cloud data centers, communication networks, and call/contact centers. He develops mathematical frameworks for dynamic resource allocation, scheduling, congestion control, and distributed algorithms , leveraging tools from queueing theory, stochastic processes, fluid and diffusion limits, large deviations, and mean-field analysis . His recent publications (2021–2025) reveal sustained focus on asymptotic optimality in complex systems: designing lightweight algorithms that become provably optimal as system scale grows. Key themes include greedy and randomized policies for inventory systems with stochastic lead times , parallel-server systems with redundancy and cancel-on-completion , particle systems with mean-field interactions exhibiting traveling-wave behavior , and packing-constrained service systems motivated by cloud data-center operations . Scientific honors include election as INFORMS Fellow (2021) , the INFORMS Applied Probability Society Best Publication Award (2004) , and the ACM SIGMETRICS Best Simulation Paper Award (1996) . He serves or has served on the editorial boards of Queueing Systems (Editor, 2008–present), IEEE Transactions on Information Theory (2019–2021), Operations Research (2006–2011), Advances in Applied Probability / Journal of Applied Probability (2008–2015), and as Technical Program Committee member for leading conferences such as SIGMETRICS and IFIP Performance . Stolyar’s research has generated more than 30 U.S. patents spanning wireless network scheduling, cloud resource allocation, dynamic load balancing, and packet-data network control—many of which have been incorporated into commercial cellular and cloud systems. His work is supported by NSF and industry grants, and he has advised numerous PhD students and postdocs who now hold faculty and research positions worldwide.

• Stochastic Modeling of Communication, Information and Service Systems
• Queueing Theory
• Stochastic Processes
• +۹ مورد دیگر

Philip James is a researcher affiliated with Newcastle University (School of Engineering) and the University of Salford (School of Environment and Life Sciences). His work bridges computer science , urban infrastructure , and geospatial analytics . Key research themes include Internet of Things (IoT) , edge computing , smart city applications , and disaster management . Recent projects involve developing simulation frameworks like IoTSim-Edge and IoTSim-Osmosis for modeling IoT and edge environments. His publications show a strong focus on sensor networks , geospatial data , and urban resilience . He has contributed to advancing ontology-based systems for emergency response and smart transport solutions using CCTV and stereo cameras. Philip James collaborates extensively with researchers like Rajiv Ranjan , Stuart Barr , and Tejal Shah , working on applications ranging from landslide detection to social media analytics in crises .

• Internet of Things (IoT)
• Geospatial Data Analysis
• Disaster Management
• +۵ مورد دیگر

Mirjam Lanzer is an academic researcher specialized in autonomous vehicle-pedestrian interaction, human-machine interface design, and intercultural transportation behavior studies. Her work primarily appears in ACM/IEEE conferences and interdisciplinary journals. Key research areas: eHMI design, pedestrian compliance, VR-based automotive testing Collaborates with researchers from TU Chemnitz (M. Baumann), Ulm University (Mark Colley), and University of Ulm (Enrico Rukzio) Recent publications (2020-2024) demonstrate focus on communication strategies for automated vehicles, cross-cultural behavioral analysis, and safety optimization through pedestrian interaction systems. Research spans both technical implementation and psychological impact assessment. 2024 work on PedSUMO extends simulation capabilities 2023 studies explore augmented reality interfaces 2021 papers address trust formation and takeover transitions

• Autonomous Vehicle Communication
• Human-Machine Interaction
• Pedestrian Behavior
• +۳ مورد دیگر

Yi Jiang, PhD, PE, is a Professor at the School of Construction Management at Purdue University, with a career spanning over two decades. His work focuses on transportation infrastructure , particularly in pavement management systems , bridge condition modeling , and highway safety analysis . He has led numerous research projects with agencies like INDOT and FHWA, including grants for friction test programs and energy-efficient roadway lighting . Purdue University: PhD in Civil Engineering Purdue University: MSCE in Civil Engineering University of Michigan: MS in Civil Engineering Tongji University: BSCE in Civil Engineering His research spans optimization methods , stochastic processes , and GPS/GIS applications , with recent emphasis on machine learning for crash prediction and friction performance modeling . Articles highlight collaborations with institutions in China, Canada, and the U.S., addressing challenges in truck platooning and bituminous material evaluation . Awards include the 2023 Thomas C. Keefer Medal and multiple AASHTO Sweet Sixteen Awards . Grants totaling over $1.5M support his work on deflectometer calibration , chip seal QA , and work zone user cost analysis .

• Optimization methods
• Stochastic process
• Bridge management systems
• +۸ مورد دیگر

Eric Cheng is a Professor in Electrical Engineering at the University of California Merced. His research focuses on wireless power transfer, autonomous driving systems, and energy management for electric vehicles. Key Research Areas: Wireless Power Transfer, Energy Efficiency, Smart Transportation Recent Work Trends: Autonomous vehicle optimization, magnetic coupling systems, and sustainable energy solutions for electric mobility Scientific Impact: Over 50 publications in high-frequency power systems, EV charging technologies, and resilient energy networks

• Wireless Power Transfer
• Autonomous Driving Systems
• Electric Vehicles
• +۳ مورد دیگر

Professor Christos Politis is a Chair in Digital Technologies at the School of Computer Science and Mathematics , Kingston University London, where he serves as Director of the Digital Information Research Centre (DIRC). His research focuses span Wireless Multimedia & Networking , Cognitive Radio , 5G/4G Networks , and Emergency Communication Systems , with significant contributions to Energy Efficiency , Security Protocols , and IoT Applications . He has led 23 academics 15 postdoctoral researchers Over 40 PhD students at DIRC. With over 200 publications and two patents , his work is funded by EU and UK programs (FP5/6/7, H2020, EPSRC, Innovate UK). He consults for governmental and commercial organizations in EU, UK, Canada, Greece, Qatar, China, and Malaysia , and holds a PhD and MSc in Electrical and Electronic Engineering from the University of Surrey, along with a BEng from the University of Athens. His academic journey includes roles at Ofcom, the University of Surrey, and placements in Greece. Recent publications highlight advancements in AI-driven ECG analysis , UAV-assisted post-disaster networks , V2X security , and smart energy systems . He is a senior member of the IEEE and a UK chartered engineer.

• Wireless Multimedia & Networking
• Cognitive Radio
• 5G/4G Networks
• +۷ مورد دیگر

Mikael Nilsson is a Senior Lecturer and key member of the Faculty of Engineering (LTH) at Lund University , Sweden. He is affiliated with the Centre for Mathematical Sciences and serves as Programme Director for the international master's program in Machine Learning, Systems and Control since 2019. Education : M.Sc.E.E. and Ph.D. in Applied Signal Processing (2007) from Blekinge Institute of Technology Research Focus : Developing novel Machine Learning models with emphasis on Deep Neural Network Designs Applications in Computer Vision (3D object estimation, traffic safety, radiation therapy) Applied research in Engineering Health and Natural & Artificial Cognition profile areas Recent Research Outputs (2022-2023): Medical imaging segmentation for cancer therapy (Radiation Oncology) Urban traffic surveillance systems (IEEE ITSC) 3D shape estimation from monocular vision Multi-view pose estimation via segmentation masks Yield forecasting using satellite-ground data fusion Key Collaborations : Swedish Government Agency for Innovation Systems (Vinnova) - DAIDESS project (2023-2026) Interdisciplinary work in Engineering Health and Medical Imaging Industrial collaboration with Axis Communications AB (2016-2019)

• Machine Learning
• Computer Vision
• Deep Learning
• +۴ مورد دیگر

Jani Romanoff is a Professor in the Department of Energy and Mechanical Engineering at Aalto University's School of Engineering, specializing in thin-walled structures across marine, architectural, and microelectronic applications. His research uniquely integrates multi-scale mechanics to develop sustainable material solutions for visible structures like ships and bridges, as well as microscopic applications in microelectronics. Professor Romanoff's work centers on the mechanics of thin-walled structures, with a distinctive focus on length-scale interactions often overlooked in conventional engineering. This approach enables innovative sustainable material utilization across diverse applications, from passenger ship design to microelectronic components. His expertise spans marine technology, structural mechanics, fatigue analysis, and vibration dynamics, with significant contributions to lightweight structural design and sustainable engineering practices. Analysis of his 15 most recent publications (2023-2025) reveals a dominant focus on cruise ship engineering, particularly laminated glass units, passenger satisfaction, and structural integrity of thin-walled components. Key trends include computational modeling of welding distortions, application of machine learning for deformation prediction, and sustainability-driven design optimization. His work consistently bridges theoretical mechanics with practical marine applications, emphasizing environmental impact reduction through material efficiency. Professor Romanoff's accolades include: Aalto Education Impact Award (2018) for establishing the Marine Technology study program SNAME Honorable Mention for Vice Admiral EL Cochrane Award (2018) for research on steel sandwich panel joints Aalto School of Engineering Teaching Award (2012) for Shipbuilder's Portfolio and Toolbox Special Recognition Award for Research Excellence (2014) As leader of the Marine and Arctic Technology research group, he directs collaborative international projects focused on structural innovation in marine engineering. His work integrates teaching with cutting-edge research, evidenced by multiple education awards and active supervision of student projects in marine technology. The Marine and Arctic Technology research group under Professor Romanoff pioneers advanced structural analysis techniques for extreme environments, with current projects addressing green transition in cruise shipping, multi-scale modeling of composite structures, and human-centered design of passenger vessels. The group maintains strong industry partnerships with major shipbuilders and classification societies.

• Thin-walled Structures
• Marine Technology
• Structural Mechanics
• +۵ مورد دیگر

Raghupathy "Siva" Sivakumar is a Professor at the School of Electrical and Computer Engineering at Georgia Tech and serves as the Vice President of Commercialization and Chief Commercialization Officer . He leads the Networking and Mobile Computing (GNAN) Research Group and is actively involved in entrepreneurship through initiatives like CREATE-X. Education: Ph.D. in Computer Science (University of Illinois at Urbana-Champaign, 2000) M.S. in Computer Science (University of Illinois at Urbana-Champaign, 1998) B.E. in Computer Science (Anna University, 1996) Research Interests span wireless networking, mobile computing, brain-computer interfaces, IoT, and nanonetworks. His work focuses on integrating sensing and communication in wireless systems, energy-efficient protocols, and leveraging neural signals for enhanced machine learning. Scientific Awards Fellow of the IEEE Georgia Tech Curriculum Innovation Award (2019) School of ECE Distinguished Faculty Achievement Award (2016) Georgia Tech Research Innovation Award (2015) David J. Kuck Awards (2001, 1998) University Gold Medal from Anna University (1996) Commercialization Efforts include founding startups (StarMobile/Asankya) and leading Georgia Tech’s Office of Commercialization, which unifies technology licensing, prototyping, and startup launch support.

• Wireless Networking
• Mobile Computing
• Brain-Computer Interfaces
• +۳ مورد دیگر

Andrew Sorensen is an Associate Professor in the Department of Civil & Environmental Engineering at Utah State University. His academic career spans structural engineering, with a focus on reliability analysis of historic and distressed structures. M.B.A. in Business Analytics, Southern Utah University (2023) Ph.D. in Architectural Engineering (Structural Engineering), University of Nebraska-Lincoln (2009) B.S. in Architectural Engineering (Structural Engineering), University of Wyoming (2002) Research interests include structural reliability, vehicle-impact analysis of reinforced concrete bridge piers, partial-depth bridge deck repair techniques, and the application of ultra-high-performance concrete (UHPC). His work addresses durability, sustainability, and multi-hazard performance in infrastructure systems. Recent publications emphasize finite element modeling of concrete barriers, sequential loading effects on bridge piers, and optimization of repair methodologies. Awards include the 2023 USU Outstanding Undergraduate Faculty Mentor of the Year and the 2021 Joe Caliendo Teacher of the Year. Co-authored works span experimental testing, statistical analysis, and machine learning applications in concrete material performance.

• Structural Reliability
• Historic Structures
• Distressed Structures
• +۵ مورد دیگر

Dr. Sherif M. Gaweesh is an Assistant Professor in the Department of Civil Engineering at the University of North Dakota's College of Engineering and Mines. With over 17 years of practical and research experience in transportation engineering, his work focuses on traffic safety, connected/autonomous vehicles, and intelligent transportation systems (ITS). He holds professional certifications as a Licensed Professional Engineer (PE) and Road Safety Professional (RSP1). Ph.D. in Transportation Engineering, University of Wyoming (2018) M.Sc. in Transportation Engineering, Shoubra Faculty of Engineering, Banha University (2013) B.Sc. in Civil Engineering, Shoubra Faculty of Engineering, Banha University (2006) Dr. Gaweesh's research spans crash modeling , AI applications , surrogate safety measures , and big data analytics in transportation contexts. His recent publications demonstrate expertise in analyzing hazardous materials transport risks, autonomous vehicle disengagement patterns, and weather-responsive traffic management systems. Scientific recognitions include: 2022 High Value Research Project Winner 2022 Safety, Security, and Emergencies Category Recognition 2018 ITE CO/WY Section 'Student of the Year'

• Traffic Safety
• Intelligent Transportation Systems (ITS)
• Connected and Autonomous Vehicles
• +۵ مورد دیگر

Tor-Morten Grønli serves as Associate Professor in Digital Innovation at the University of Oslo's Department of Informatics (IFI), holding a PhD in Computer Science from Brunel University, London. His research bridges theoretical computer science with practical applications in intelligent systems. Specializing in Internet of Things, machine learning, and software architecture , his work demonstrates particular expertise in transport systems and healthcare applications. Recent publications reveal a strong focus on blockchain integration, federated learning for edge networks, and mobile sensor applications - with notable contributions to public transport optimization and medical IoT security. His 15 most recent articles (2023-2025) show consistent publication in high-impact venues including IEEE Transactions and Springer conference proceedings, with recurring themes of secure distributed systems and intelligent transport solutions . Collaborations span international institutions with frequent co-authorship patterns indicating stable research partnerships. Contact information is maintained through the university's standard email format ( tormor@ifi.uio.no ), reflecting active institutional affiliation. No specific research grants or laboratory facilities are detailed in the provided materials, though the publication record suggests ongoing funded research activity.

• Internet of Things
• Machine Learning
• Software Architecture
• +۴ مورد دیگر