جست‌وجوی استاد و پژوهشگر

Burcu Akinciمشاهده پروفایل

استاد

• Construction Engineering and Management
• Building Information Modeling (BIM)
• Infrastructure Systems
• +۵ مورد دیگر

Dr. Burcu Akinci is the Paul Christiano Professor and Department Head of Civil and Environmental Engineering at Carnegie Mellon University (CMU), with a courtesy appointment in Electrical and Computer Engineering. She holds a BS from Middle East Technical University, an MBA from Bilkent University, and MS/PhD from Stanford University. Her research focuses on integrating BIM with 3D imaging/sensor data to create digital twins for construction and infrastructure management, emphasizing predictive operations and fault diagnosis in HVAC systems. She has secured over $16M in grants, authored 70+ journal papers, and pioneered methodologies for as-built BIM generation and infrastructure monitoring. Education : PhD 2000 - Stanford University (Civil & Environmental Engineering) MS 1995 - Stanford University MBA 1993 - Bilkent University BS 1991 - Middle East Technical University Research Interests : Dr. Akinci develops technologies to streamline construction and infrastructure operations through digital twins. Key areas include: BIM integration with IoT/sensor networks 3D imaging for asset management Fault detection in HVAC systems Autonomous environmental control for space habitats Predictive maintenance using AI Grants & Patents : $6M+ PI grants, $10M+ co-PI grants (federal/state/industry) 2 patents issued, 1 provisional patent Labs & Teams : Active in the Scott Institute for Energy Innovation, leading projects on smart buildings and infrastructure resilience.

• Transport and Logistics
• Spatial Data Analysis
• Road Safety
• +۶ مورد دیگر

Adrian Ellison is a Research Fellow at the Institute of Transport and Logistics Studies (ITLS) at the University of Sydney. He specializes in large dataset analysis, particularly spatial data, applied to transport and logistics challenges such as road safety and active travel. He teaches GIS for Transport and Logistics and manages the Travel Choice Simulation Laboratory (TRACSLab). His research includes developing web-based travel surveys and smartphone app integration. Ellison holds a PhD from the University of Sydney and has received the Eric Pas Dissertation Prize (2014). He has contributed to studies on electric vehicle feasibility, cycling infrastructure impacts, and driver behavior profiling. Education: BCom (Ryerson University), MCom/MLogMan, PhD (University of Sydney). Research focuses on spatial data analytics, big data applications in logistics, and road safety. His work intersects transportation, technology, and public health, with publications addressing pedestrian safety in smart cities, trip stop identification from smartphone data, and customer service analytics via social media. Grants include a 2020 project on Trust and Safety in Autonomous Mobility Systems. His awards highlight contributions to travel behavior research. Teaching includes courses on GIS and big data for transport researchers.

Christian Gawronمشاهده پروفایل

استاد

• Internet Technologies
• Software Engineering
• Natural Language Processing
• +۳ مورد دیگر

Prof. Dr. Christian Gawron is a Professor of Internet Technologies at the University of Applied Sciences Südwestfalen since 2019. He leads the Master's program in Applied Computer Science and has held roles as Department Head and Practice Group Leader at IBM Global Business Services (2014–2018), focusing on Watson AI, chatbots, and text mining. Previously, he was a Senior IT Architect at IBM (1999–2014), specializing in business process digitalization for the insurance sector. He earned his Dr. rer. nat. in 1999 with a dissertation on Simulation-Based Traffic Assignment , and held research roles at the Center for Applied Computer Science (ZAIK) and the Universities of Cologne and Bonn. His research spans internet technologies, software engineering, natural language processing (NLP), and traffic simulation. His academic journey includes a physics degree from the Universities of Cologne and Bonn (1989–1995). His work bridges theoretical computer science and practical AI applications, including projects like BERT-DE-NER for NLP and traffic simulation models for large networks. He advises students on theses and projects, emphasizing real-world applications of technology. Prof. Gawron’s research trends reflect a shift from foundational traffic simulation (1990s) to modern AI-driven solutions (2020s), with notable contributions to transformer models and toxic comment detection. His IBM experience underscores practical IT architecture and AI implementation. Consultations are arranged via Calendly or email. He is a prolific researcher, with key contributions in traffic flow theory (e.g., dynamic user equilibrium algorithms) and NLP (e.g., BERT-based models). His work frequently addresses interdisciplinary challenges, such as environmental impact modeling in traffic simulations (FVU cooperative, 1998). Advising & Grants: Supervised numerous theses in internet technologies and AI. Prior IBM projects included grants for AI-driven insurance process optimization and real-time traffic simulation infrastructure. Labs/Teams: Leads the Internet Technologies research group at FH Südwestfalen, collaborating with industry partners on AI and NLP applications.

Victoria Timeمشاهده پروفایل

استاد

• Risk Analysis
• Homeland Security
• Emergency Management
• +۲ مورد دیگر

Victoria Time is Professor of Sociology & Criminal Justice at Old Dominion University, specializing in risk analysis, homeland security, and emergency management. Her research develops computational frameworks for risk communication and assesses threats ranging from natural disasters to cybersecurity. Recent publications focus on AI-enhanced risk messaging (2025), climate impacts on supply chains (2022), and validation methodologies for hierarchical models (2019). Her work integrates software engineering with mixed-methods research to address complex security challenges.

• Social Network Analysis
• Artificial Intelligence
• Knowledge Graphs
• +۴ مورد دیگر

Irene Kilanioti is a Teaching Professor at the National Technical University of Athens (NTUA), affiliated with the Division of Communication, Electronic and Information Engineering under the School of Electrical and Computer Engineering. She holds a Ph.D. in Computer Science from the University of Cyprus and has extensive experience as a PostDoc researcher at Ludwig-Maximilians-Universität München. Her career includes roles as an informatics teacher in Greece and Germany, software engineer at Vodafone, and teaching assistant in tertiary education. Dr. Kilanioti specializes in knowledge graphs, social media analytics, sustainable development goals, and AI-driven education technologies. Education: B.Sc. in Informatics and Telecommunications (NKUA), M.Sc. in Advanced Information Systems (NKUA with best student award), Ph.D. in Computer Science (University of Cyprus). She completed German teaching licensure studies at Friedrich-Alexander-Universität (Erlangen) and holds a translator’s diploma from the Institute of Linguists (London). Fluent in English and German, she is a member of the Cyprus Scientific and Technical Chamber. Research focuses on knowledge graph optimization, social media misinformation detection, and IoT applications in transportation. Notable achievements include the Best Paper Award at the 2022 IEEE International Conference on Knowledge Graphs and contributions to IEEE/UL Standard 2933™ for Clinical IoT Interoperability. She co-leads the EU-funded cHiPSet initiative for big data simulation and serves as an editor for Frontiers in Digital Education. Awards include a Greek State Scholarship Foundation PhD grant (2012-2015) and the Best Student Award for her M.Sc. Her work bridges technical innovation with societal impact, spanning education technology, healthcare IoT, and global sustainable development.

Alison Heppenstallمشاهده پروفایل

استاد

• Geocomputation
• Agent-Based Modelling
• Urban Analytics
• +۷ مورد دیگر

Professor Alison Heppenstall is a leading academic in Geocomputation and Urban Studies at the University of Glasgow, specializing in AI/ML methods applied to geographical problems. Her roles include being a Professor of Geocomputation and an ESRC-Alan Turing Fellow. She holds affiliations with the Alan Turing Institute and the Leeds Institute for Data Analytics. Education: BA Archaeology (University of Durham), MSc and PhD in Geocomputation/AI (University of Leeds). Research focuses on agent-based modeling, microsimulation, uncertainty quantification, and urban digital twins. She develops AI tools for health policy, transport systems, and sustainable cities. Recent work includes studies on electric vehicle behaviors, housing market dynamics, and pandemic policy simulations. She co-leads the AI4CI Hub for smart cities and contributes to the SIPHER consortium on health policy modeling. Awards include the 2022 Computational Economics Prize and ESRC-Turing Fellowship. Her grants include EPSRC-funded projects on exascale computing and AI for collective intelligence. Advises PhD students in geocomputation and urban analytics. Leads the development of synthetic population datasets for health and policy analysis.

Nicola Bellomoمشاهده پروفایل

استاد

• Mathematical Physics
• Applied Mathematics
• Complex Systems
• +۵ مورد دیگر

Nicola Bellomo is a Distinguished Professor at the University of Granada and holds the title of Professor Emeritus at the Polytechnic University of Torino. He specializes in Mathematical Physics and Applied Mathematics, focusing on complex systems and their modeling. His academic roles include editorial leadership as Editor-in-Chief of the Mathematical Models and Methods in Applied Sciences and EMS Surveys in Mathematical Sciences . Research Interests: His work spans mathematical frameworks for complex systems, including active particles methods, immune competition modeling, vehicular traffic dynamics, crowd behavior analysis, and swarm theory. He has pioneered interdisciplinary approaches to biological and social systems, with notable contributions to tumor dynamics and pandemic modeling. Scientific Awards: Recognized as a Highly Cited Mathematician since 2014 and honored with the Third Level Honor by the Italian President. He delivered prestigious lectures such as the Shank Lecture (2009) at Vanderbilt University and a special lecture at an Oberwolfach workshop (2014). Advising & Grants: Led EU-funded projects like SAFECITI (crowd safety) and EVACUATE (evacuation systems). Collaborated through ERASMUS MUNDUS and FP7 initiatives addressing genetic diseases, social conflicts, and health research. Served as work-package leader in multiple EU projects (2008–2017). Affiliations & Boards: Former President of the Italian Society of Industrial and Applied Mathematics (SIMAI, 2009–2016). Current President of Gruppo2003. Member of scientific boards for INdAM and G.N.F.M., and academic senate roles at Politecnico di Torino. Europe coordinator for oncology-related research networks (2000–2008).

Manuel Ricardoمشاهده پروفایل

استاد

• Mobile Communications Networks
• Quality of Service
• Radio Resource Management
• +۵ مورد دیگر

Manuel Alberto Pereira Ricardo is a Full Professor at the Faculty of Engineering of the University of Porto (FEUP), teaching courses on Mobile Communications and Computer Networks. He holds the position of TEC4 Coordinator at INESC TEC since January 1, 1996, where he has progressed through roles including Wireless Networks area coordinator, Center for Telecommunications and Multimedia director, and Board of Directors member. His research focuses on mobile communications networks, quality of service, radio resource management, network congestion control, and performance assessment. Licenciatura, M.Sc., and Ph.D. (2000) in Electrical and Computer Engineering (Telecommunications) from FEUP Manuel's recent research trends include 6G technology , O-RAN architecture , and autonomous UAV positioning . He has contributed to vision-aided Radio Access Networks (RANs), reinforcement learning (RL) frameworks for unmanned aerial vehicle (UAV) positioning, and open interface-based mobile RAN control systems. Publications emphasize millimeter-wave communication, network automation, and environment-aware connectivity solutions. He has supervised numerous graduate theses on topics spanning mobile network topology control , underwater radio communications , 5G private networks , vision-aided airborne communications , and O-RAN-based autonomous control . At INESC TEC, he leads telecommunications initiatives and has participated in over 30 research projects with 150+ publications.

Thomas Statherosمشاهده پروفایل

استادیار

• Autonomous Systems
• Aerospace Engineering
• Avionics
• +۴ مورد دیگر

Thomas Statheros is an Assistant Professor in Aerospace Engineering (Avionics, Autonomy, and Safety) at Coventry University, affiliated with the Research Centre for Future Transport and Cities (CFTC). He leads the Critical Autonomy and Safety Laboratory (CAUSLab) and contributes to British Standards Institution (BSI) standards for autonomy and safety. With over 23 years of experience in industrial and academic research, he specializes in Autonomous Systems, AI, Embedded Systems, and Avionics Design, collaborating with aerospace, automotive, and marine industries. He has designed safety-critical systems for projects like the LEMV airship and helicopter weather radar control panels, adhering to standards like DO-178B and ARP4754. His research focuses on Autonomous Systems Architecture, eVTOL aircraft, Avionics, and Safety-Critical Systems. Recent work includes developing efficient certification processes for aerospace and automotive industries, as well as designing verification/validation frameworks using simulators like Gazebo/Omniverse. He has led projects such as the EV-LIFT (Innovate UK), contributing £389K to Coventry University’s research on electric vehicle safety and performance. Key research trends in his articles include advancements in eVTOL design methodologies, battery health monitoring via optical sensors, and secure communication systems for non-terrestrial networks. His work bridges academic innovation with industrial application, emphasizing real-world testing and certification challenges. Teaching contributions include pioneering requirement-based verification in avionics modules and supervising over 35 undergraduate/postgraduate projects on autonomy, control systems, and safety-critical engineering. Collaborative efforts span industries and academic institutions, with notable partnerships in the UK, Europe, and the US. Current initiatives aim to address sustainability in aerospace and automotive sectors through hydrogen production and energy-efficient technologies.

Varga Balázsمشاهده پروفایل

پژوهشگر ارشد

• Road Traffic Modeling and Control
• Machine Learning-Based Traffic Estimation
• Transportation Systems
• +۳ مورد دیگر

Dr. Balázs Varga is a Research Fellow at the Department of Control for Transportation and Vehicle Systems, Budapest University of Technology and Economics. He holds an MSc in Vehicle Engineering (2015) and a PhD in Transportation and Vehicle Sciences (2021). His career includes roles at SZTAKI (part-time student, 2012-2014), Chalmers University of Technology (Project Assistant, 2015), AVL Hungary (Software and Function Developer, 2016-2018), and BME (PhD student, 2017-2021; Project Assistant, 2018-2021). Languages: English, German Teaching: Programming (BSc), Control Theory (BSc), Traffic Modelling, Simulation and Control (MSc/PhD) His research focuses on road traffic modeling and control, leveraging AI methods for traffic flow prediction and adaptive urban traffic management. He contributes to the 2020-2024 national project developing dynamic traffic control systems integrated with digital data sources.

Yong Hoon Kimمشاهده پروفایل

دانشیار

• Connected and autonomous vehicles (CAVs)
• Intelligent transportation systems (ITS)
• Advanced traveler information systems
• +۲ مورد دیگر

Yong Hoon Kim is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Windsor, Canada. He specializes in intelligent transportation systems with a focus on connected and autonomous vehicles (CAVs), traffic flow modeling, and cybersecurity in transportation networks. Education : BSc & MSc in Civil Engineering from University of Seoul, South Korea PhD in Civil Engineering from Purdue University, West Lafayette, IN, USA Research Interests : Connected and autonomous vehicles (CAVs) integration in urban environments Intelligent transportation systems (ITS) and traffic flow optimization Cybersecurity challenges in vehicle-to-vehicle communication networks Mobility data privacy and advanced traveler information systems Recent Publication Trends : His recent work (2023) explores vehicle malware modeling, collision-free traffic simulation, and mobility data analysis, while earlier studies focus on CAV infrastructure planning and V2V communication dynamics.

Steven Seth Harrodمشاهده پروفایل

دانشیار

• Railway Engineering
• Operations Management
• Transportation Systems
• +۴ مورد دیگر

Steven Seth Harrod is an Associate Professor at the Department of Engineering Technology and Didactics Production, Transportation and Planning at the Technical University of Denmark (DTU). His work focuses on railway engineering, operations management, and sustainable transportation systems contributing to UN SDGs related to infrastructure and education. He holds a PhD in Operations Management from the University of Cincinnati (2007), MSc degrees in Quantitative Analysis (University of Cincinnati) and Transportation (MIT), and a BSc in Mechanical Engineering from Trinity College Hartford. Research interests include railway scheduling, delay propagation modeling, predictive maintenance of rail infrastructure, and Industry 4.0 applications in transportation. His recent work explores covariate-dependent Markov processes for rail defect prediction and digitalization challenges in European rail systems. He supervises PhD projects on data-driven maintenance strategies and leads initiatives like the Green Mobility Shift (GMS) project. Recipient of the 2016 INFORMS Railway Application Section Student Paper Award for contributions to operations research in rail systems. Active in professional networks including INFORMS and collaborates on projects funded by Danish industry partners. Advises on railway dispatch systems (ODIN project) and mega-project accountability frameworks (CAMP initiative).

Christelle K. Viaurouxمشاهده پروفایل

دانشیار

• Data Analysis
• Econometrics
• Applied Microeconomics
• +۱ مورد دیگر

Christelle K. Viauroux is an Associate Professor in the Department of Economics at the University of Maryland, Baltimore County (UMBC). She holds a Ph.D. from the Toulouse School of Economics in France. Research Interests: Data Analysis, Econometrics, Applied Microeconomics, and Applied Game Theory. Publications: Focus on education economics, human capital, financial wellbeing, urban congestion, and matching theory. Recent work explores inequality in higher education and parental support mechanisms. Contact: Office in the Public Policy Building, Room 336; email: ckviauro@umbc.edu .

• Computer Science
• Electrical Engineering
• Robotics
• +۷ مورد دیگر

Pengfei Li is a prolific researcher affiliated with multiple academic institutions, including Harbin Medical University, Yale University, Beihang University, Zhejiang University, and others. His work spans interdisciplinary domains such as machine learning, robotics, remote sensing, and biomedical engineering. Research interests focus on Machine learning and deep learning for industrial and medical applications Signal processing and sensor technologies Remote sensing and geospatial data analysis Robotic control systems and exoskeleton design Code search and software engineering optimization His recent publications highlight trends in FPGA-based real-time systems, multimodal machine learning, and AI-driven diagnostics. While awards and student advising details are absent in the provided data, his contributions to IEEE journals and conferences underscore his expertise in algorithm design and applied informatics.

• Agricultural Engineering
• Precision Agriculture
• Remote Sensing
• +۷ مورد دیگر

Troy Jensen is an Associate Professor at the School of Agriculture and Environmental Science , University of Southern Queensland. He is affiliated with the Centre for Agricultural Engineering and held a Fulbright Scholar position funded by the Kinghorn Foundation in 2023, alongside a Visiting Professorship at the University of Florida during the same year. Education: He holds a BEng (1983), MEng (1991), and PhD (2009) from the University of Southern Queensland. Research Interests: His expertise spans agricultural machinery, precision agriculture, remote sensing, controlled traffic farming, UAVs, and technology innovation . Specific focuses include sugarcane yield monitoring, soil tillage mechanics, and energy-efficient farming practices. He has pioneered work in UAV-based crop monitoring, discrete element modeling for soil analysis, and sustainable machinery design. Grants & Projects: Notable projects include: Australian Government’s Site-Specific Tools for Herbicide Management (2023) Cotton Seed Distributors’ Cotton Picker Extensions (2023) New Columbo Mobility Plan for Thailand-Australia engineering collaboration (2022) Supervision: He currently supervises doctoral students on topics like sugarcane replanting automation and pest monitoring technologies. Completed projects include studies on nutrient management in Nicaraguan sugarcane and soil compaction from cotton harvesting. Labs/Teams: His work is embedded within interdisciplinary teams at the Centre for Agricultural Engineering, focusing on mechanization, precision agriculture, and sustainable farming systems.