جست‌وجوی استاد و پژوهشگر

Evangelos I. Kaisarمشاهده پروفایل

استاد

• Logistics and Transportation System Design
• Transportation System Security and Efficiency
• Traffic Modeling, Simulation and Safety
• +۲ مورد دیگر

Evangelos I. Kaisar is a Professor and Department Chair of the Department of Civil, Environmental and Geomatics Engineering at Florida Atlantic University . He also serves as the Executive Director of the Freight Mobility Research Institute (FMRI) and Multimodal Intelligent Transportation Systems Laboratory (MITSL) . His academic and research leadership includes mentoring graduate and undergraduate students, securing substantial federal and state funding, and advancing transportation resilience and logistics through applied research. Education: Ph.D. in Civil Engineering, University of Maryland at College Park M.S. in Civil Engineering, University of Maryland at College Park B.S. in Civil Engineering, University of Maryland at College Park Research Interests: Dr. Kaisar specializes in logistics and transportation system design , with a focus on transportation security and efficiency , traffic modeling, simulation, and safety , and freight logistics . His work integrates engineering principles with disaster risk reduction and public health considerations, addressing challenges in emergency preparedness and infrastructure resilience. Recent Publications Trends: His 2016 publications highlight critical aspects of transportation resilience, including reliability-based recovery center placement and the impact of infectious disease outbreaks on urban traffic systems. These studies emphasize data-driven approaches, emergency response optimization, and interdisciplinary applications to mitigate risks in freight and urban mobility. Grants and Funding: Dr. Kaisar has secured over $13.6 million in career research funding , including a USDOT Tier 1 University Transportation Center grant for FMRI ($10.5 million, 2016-2022). His portfolio includes projects on transit signal priority, port resiliency, and multi-hazard mitigation planning, supported by agencies like FDOT, DHS, FEMA, and the Federal Transit Administration. Labs and Research Sites: As Executive Director of FMRI and MITSL , Dr. Kaisar leads research initiatives in freight mobility, intelligent transportation systems, and disaster-resilient infrastructure. These labs serve as hubs for simulation modeling, logistics analysis, and applied innovation in urban and intermodal transportation. Advising and Mentorship: He has chaired 32 M.S. and 2 Ph.D. theses at FAU, with 26 M.S. graduates and 6 ongoing students. Dr. Kaisar has also supervised 16 students on thesis/dissertation committees, 5 in directed research, and 25 undergraduate volunteers. His international mentorship includes 10 students from institutions in the Netherlands, India, Brazil, and Chile.

• Stochastic systems
• Applied probability
• Queueing systems
• +۴ مورد دیگر

Ohad Perry is an Associate Professor in the Operations Research and Engineering Management (OREM) department at Southern Methodist University. His research focuses on stochastic systems, applied probability, and their applications in service systems, healthcare, and inventory management. He has contributed to the theoretical foundations of queueing systems and their practical implementations in healthcare and service industries. Education: B.Sc., Mathematics and Statistics, University of Haifa, 2004 (summa cum laude) M.S., Operations Research, Columbia University, 2005 Ph.D., Industrial Engineering and Operations Research, Columbia University, 2010 Research Interests: Perry’s work emphasizes performance analysis and control of stochastic systems, including queueing systems, healthcare operations optimization, and inventory management strategies. His methodologies integrate fluid and diffusion approximations, stochastic averaging principles, and heavy-traffic analysis. Grants and Advising: PI of NSF grants totaling over $1M, focusing on service systems, patient flow optimization, and queueing dependencies Advised students now at Tsinghua University, HKUST, Stanford, and Colorado School of Mines Labs/Teams: Collaborates with Northwestern Memorial Hospital and academic teams on healthcare capacity modeling and prehospital stroke diagnosis systems.

Hrvoje Novakمشاهده پروفایل

پژوهشگر

• Control Systems
• Machine Learning
• Energy Management
• +۶ مورد دیگر

Hrvoje Novak is a Leading Researcher at the Department of Control and Computer Engineering, University of Zagreb Faculty of Electrical Engineering and Computing. His work focuses on interdisciplinary research spanning energy systems optimization, precision agriculture, and advanced control methodologies. He has contributed to innovative solutions in predictive control for building energy management, railway traction systems, and water treatment infrastructure. His research integrates machine learning, IoT, and remote sensing technologies to address challenges in smart grids, crop health monitoring, and insect pest management. Key research areas include: Predictive control strategies for energy-efficient systems Machine learning applications in agricultural pest detection Data-driven modeling of urban traffic and infrastructure IoT-based plant development modeling systems Optimization of railway traction and energy storage systems His publications emphasize practical implementations such as hierarchical building energy management, flight mill analysis for invasive species, and grey-box modeling of water treatment plants. Novak collaborates across academic and industrial sectors to advance sustainable technologies.

• Artificial Intelligence
• Data Science
• Cybersecurity
• +۳ مورد دیگر

Gulzar Alam is a Researcher at the School of Computing, Engineering and Intelligent Systems (CEIS) at Ulster University, affiliated with the AICC (Advanced Innovation and Collaborative Centre). His work focuses on interdisciplinary research at the intersection of artificial intelligence, cybersecurity, and data-driven decision-making. Key areas include ontology development for healthcare data, secure software testing methodologies, and smart city applications. Research interests span AI-driven solutions for environmental challenges (e.g., waste management, water treatment optimization), healthcare informatics (predictive analytics and explainable AI), and cybersecurity frameworks for remote work environments. He explores human activity recognition (HAR) through sensor data analysis and develops tools for dataset quality assessment in AI research. Recent publications highlight trends in AI applications across multiple domains, including real-time traffic crash prediction systems and energy-efficient cloud resource management. His cybersecurity work addresses evolving social engineering threats and industrial control system vulnerabilities. Alam collaborates with industry partners to translate research into practical tools such as the CAT (Cybersecurity Awareness Training) framework. While no formal student advisees or grant details are disclosed, his research emphasizes open data utilization and ethical AI practices. He is based at the Belfast campus in room BC-04-315, contributing to the university’s strategic focus on innovation-driven education and industry collaboration.

Earl Rusty Lee IIمشاهده پروفایل

دانشیار

• Transportation
• Infrastructure Systems
• Disasters
• +۱ مورد دیگر

Earl 'Rusty' Lee II is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Delaware and a core faculty member of the Disaster Research Center. He earned a B.S. in Nuclear Engineering (1978), an M.S. in Management (2004), and a Ph.D. in Decision Science and Engineering Systems (2006) from Rensselaer Polytechnic Institute. After retiring as a Commander from the U.S. Navy in 2002, he transitioned to academia, focusing on modeling transportation and interdependent infrastructure systems. His research explores: Transportation systems : Autonomous vehicle integration, traffic flow optimization, and energy consumption modeling. Infrastructure resilience : Disaster response frameworks, vulnerability assessments, and climate adaptation. Urban sustainability : Energy-transportation nexus, geospatial analysis, and policy development. His publications (2013–2020) predominantly address autonomous intersection management, CAV clustering, disaster resilience, and urban energy modeling, showcasing a focus on algorithmic solutions for sustainable infrastructure. Awards & Honors: 2020 College of Engineering Dean’s Award for Excellence in Service and Community Engagement 2017 Safety Coin from the Federal Highway Administration He directs the Delaware T2/LTAP Center, funded by the Federal Highway Administration and Delaware DOT, which facilitates technology transfer, workforce development, and safety initiatives for transportation agencies. The center engages students in real-world projects.

• Transportation Engineering
• Traffic Management
• Work Zone Analysis
• +۴ مورد دیگر

Rahim F Benekohal is a Professor in the Department of Civil and Environmental Engineering at the University of Illinois. His research focuses on transportation engineering, particularly in traffic management systems, work zone analysis, and intelligent transportation systems (ITS). He has expertise in signalized intersection optimization, connected and autonomous vehicles (CAV), and machine learning applications in transportation safety. His work integrates analytical models and simulation tools to assess traffic operations in complex scenarios such as low-volume highways, post-incident recovery, and railroad grade crossings. Recent studies address challenges in free-flow speed computation for work zones and compare adaptive signal systems to traditional time-based coordination plans. He collaborates on projects involving CAV integration and infrastructure resilience. Benekohal's publications highlight trends toward data-driven solutions for urban mobility, safety improvements, and infrastructure optimization. His research has been recognized through citations and readership metrics, with notable contributions to the Transportation Research Record and Future Transportation journals.

Monika Buscherمشاهده پروفایل

استاد

• Mobilities Research
• Digital Ethics
• Disaster Response
• +۳ مورد دیگر

Monika Buscher is a Professor of Sociology at Lancaster University , where she serves as Associate Director in the Centre for Mobilities Research . She co-edits the book series Changing Mobilities and leads interdisciplinary projects on decarbonising transport , disaster mobilities , and ethical IT innovation . Her research integrates phenomenology , ethnomethodology , and science and technology studies to explore the digital dimensions of mobile lives . Key focus areas include distributed collaboration , informational mobilities , and co-production of socio-technical futures , with methodologies combining mobile ethnography , design practices , and public sociology . Monika’s recent work addresses informationalization in emergency response , emphasizing social media engagement , data protection , and community-driven resilience . She has supervised PhDs on topics like Weibo crisis communication , slow cycling utopias , and locative art practices . Scientific Awards: Honorary Doctorate, Roskilde University, Denmark

• Transport Modeling
• Transport Simulation
• Traffic Systems
• +۳ مورد دیگر

Gunnar Flötteröd is an Adjunct Associate Professor at Linköping University's Department of Science and Technology (ITN), affiliated with the Communications and Transport Systems division. He holds a visiting faculty role at BOKU University's Institute of Transport Studies in Austria. His research focuses on transport modeling and simulation, including maritime logistics, pedestrian dynamics, and urban mobility systems. He contributes to the Swedish National Road and Transport Research Institute and teaches on-demand PhD courses in transport modeling at Linköping University. His work bridges model development and real-world applications, covering both demand and supply-side aspects of transport systems. Recent publications address coastal bathymetry estimation using AIS data and multidirectional pedestrian network flows. Flötteröd collaborates with interdisciplinary teams in logistics and communication systems research. No specific grants or advising roles are detailed in the provided materials.

Judith Rosenowمشاهده پروفایل

استاد

• Air Traffic Management
• Aerospace Engineering
• Environmental Impact Assessment
• +۳ مورد دیگر

Dr. Judith Rosenow is a Professor and Chair of Air Transport Technology and Logistics at Technische Universität Dresden. She specializes in air traffic optimization, climate impact of aviation, and trajectory planning. Her research integrates multi-criteria optimization, uncertainty management, and environmental considerations. Rosenow leads projects like ICATO (contrail avoidance) and ProfiFuel (fuel-efficient trajectories), and collaborates internationally on air traffic flow management. Recognized as an elected member of the Saxon Academy of Sciences' Young Forum, she contributes to interdisciplinary scientific exchange. She teaches courses on flight planning, terminal processes, and aerodynamics, and oversees student thesis distribution and TU Delft's MINOR program. Her work bridges academic research with practical applications in air traffic systems. Education: Dr.-Ing. habil. (Habilitation) in Engineering Research Focus: Trajectory optimization, contrail mitigation, airspace efficiency, and climate impacts Projects: Principal Investigator for Graduiertenkolleg AirMetro Topic 7 Micro Climate; leads ICATO, ProfiFuel, Utopia II, and UBIQUITOUS initiatives Scientific Contributions: Over 38 peer-reviewed articles since 2016, covering trajectory prediction, delay propagation, and climate modeling. Key contributions include stochastic trajectory optimization frameworks and contrail lifecycle validation. Awards: Member of the Saxon Academy of Sciences' Young Forum (2023).

Mohamed Shehataمشاهده پروفایل

استاد

• Sliding Mode Control
• Power Electronics
• Electric Drives
• +۷ مورد دیگر

Mohamed Shehata is the Acting Dean of Academics and Chair of the College of Engineering at Capitol Technology University. He holds a PhD in Electrical Engineering from Purdue University (1989) and has over 35 years of experience in academia, specializing in curriculum development, lab design, and research in power electronics and control systems. BS: Electrical Power Engineering, Helwan University (1980) MS: Electrical Engineering (Power Electronics), Purdue University (1985) PhD: Electrical Engineering (Power Electronics), Purdue University (1989) His research focuses on sliding mode control for power converters, power systems, and electric drives, with applications in renewable energy and robotics. Recent publications highlight interdisciplinary work in semiconductor lasers, FPGA-based satellite control, wind energy systems, and intelligent power converter management. Dr. Shehata has secured a $225,000 grant (2014) for laser diode driver research at KAUST and established industry partnerships (e.g., Cummins Inc.) to enhance student internships and lab infrastructure. He pioneered the first diesel engine lab in Saudi Arabia and led ABET accreditation efforts. He has supervised student teams in robotics, IEEE chapters, and Formula SAE competitions, emphasizing STEM outreach and academic leadership. His lab development portfolio includes renewable energy, photonic, and industrial control labs across Egypt, Saudi Arabia, and the UAE.

Jamal El-Denمشاهده پروفایل

مدرس ارشد

• Knowledge Management
• Positive Psychology
• Group Support Systems
• +۶ مورد دیگر

Dr. Jamal El-Den is a Senior Lecturer in Information Systems at Charles Darwin University's Faculty of Science and Technology. He holds a PhD in Information Systems from the University of Technology Sydney. His research focuses on Knowledge Management, Positive Psychology, Group Support Systems, Organizational Productivity, and the transformative role of Social Media in Education. He has successfully graduated three PhD students and currently supervises two more. His work bridges theoretical frameworks with practical applications in areas like AI-driven education, sustainable digital learning, and healthcare informatics. Dr. El-Den is actively engaged in interdisciplinary research, exploring topics such as energy-efficient 6G networks and smart urban systems. His publications span over 20 years, demonstrating a commitment to advancing Information Systems across diverse domains. Education: PhD in Information Systems (UTS Sydney). Key research interests include AI-enabled reskilling, sustainable digital learning, and the intersection of technology with organizational well-being. He has contributed to frameworks for social media adoption in educational and enterprise contexts, emphasizing cooperative learning and knowledge sharing. Notable research contributions include studies on diabetic retinopathy diagnosis via deep learning, stochastic models for technology adoption, and security compliance through positive psychology interventions. His work often addresses real-world challenges in education, healthcare, and urban planning, reflecting a dedication to socially impactful research.

• Computer Networks
• IoT
• Edge Computing
• +۶ مورد دیگر

James Hardy is a Senior Lecturer in Computer Networks at the College of Science and Engineering. His research focuses on optimizing network systems, with particular emphasis on IoT healthcare applications, edge computing, social media data analysis, and energy efficiency in next-generation networks. He has contributed to frameworks like Mobilouds and algorithms for service matching in IoT environments. His work spans diverse areas including traffic congestion reduction through queueing theory applications, URI encoding schemes for IPv6, and cloud computing infrastructure optimization. Recent publications highlight advancements in real-time streaming scheduling and user-interest-driven content discovery in peer-to-peer networks. Hardy's research demonstrates a strong interdisciplinary approach, blending computer science fundamentals with practical applications in healthcare, transportation, and urban systems. His output includes over 700 views and 290 downloads across his publications, reflecting significant academic impact.

Günter Bärwolffمشاهده پروفایل

استاد

• Applied Mathematics
• Numerical Analysis
• Fluid Dynamics
• +۵ مورد دیگر

Günter Bärwolff is a retired Professor of Applied Mathematics at the Department of Mathematics, Technische Universität Berlin. Though retired, he continues to engage in academic activities and research. His work focuses on numerical methods for partial differential equations, computational fluid dynamics, and mathematical modeling of crystal growth and fluid flows. He has authored influential textbooks such as Numerik für Ingenieure, Physiker und Informatiker and Numerik in der Physik, Ingenieurwissenschaft und Informatik , the latter co-authored with Caren Tischendorf. His research interests span applied mathematics, numerical analysis, and their applications in engineering and natural sciences. Key areas include finite volume methods, direct numerical simulation (DNS), control of turbulent flows, and optimization of fluid dynamics problems. He has also contributed to pedestrian dynamics modeling using hybrid macroscopic approaches and cellular automata techniques. Bärwolff has been actively involved in international conferences and collaborations, presenting on topics such as crystal melt modeling with magnetic fields, boundary control of Navier-Stokes equations, and multi-destination crowd simulation. His work bridges theoretical developments with practical applications in areas like semiconductor crystal growth and public transport management. Despite retirement, his research continues to address challenges in computational science and engineering.

Arne Straussمشاهده پروفایل

استاد

• Sustainable Transport
• Air Traffic Emissions
• Transport Innovations
• +۳ مورد دیگر

Prof. Arne Strauss holds the Mercator Endowed Chair of Demand Management & Sustainable Transport at WHU – Otto Beisheim School of Management. His research focuses on reducing air traffic emissions, optimizing transport systems, and developing decision support tools. He teaches the Sustainable Urban Transport course at the BSc level. Key research areas include demand-capacity balancing, cross-border air traffic management, and environmental sustainability in logistics. Recent work addresses challenges in e-fulfillment, dynamic customer contacting, and algorithmic solutions for transshipment and routing. Strauss contributes to journals like Transportation Research Part A and has authored over 30 peer-reviewed articles. His expertise bridges operational research methodologies with real-world applications in aviation and urban transport systems.

• Intelligent Transportation Systems
• Machine Learning
• Computer Networks
• +۳ مورد دیگر

Zongtao Duan is an active researcher with a focus on intelligent transportation systems, cybersecurity, and machine learning applications. His work spans areas including traffic flow prediction, silent data corruption detection, vehicular networks security, and deep learning architectures for autonomous systems. He collaborates frequently with colleagues like Lei Tang and Junchi Ma, publishing in top-tier journals such as IEEE Transactions on Intelligent Transportation Systems and Future Generation Computer Systems. His research emphasizes practical solutions for urban mobility challenges, including ridesharing optimization and railway congestion control, while also addressing foundational issues in hardware reliability and error propagation modeling. Recent contributions include advancements in multimodal retrieval systems and knowledge graph applications in scientific data management. Zongtao has contributed to over 40 peer-reviewed publications since 2004, with notable work in 2025 exploring SDC evaluation frameworks and scenario-based testing for autonomous vehicle safety. His interdisciplinary approach bridges computer science, transportation engineering, and cybersecurity to address real-world technical challenges.