جست‌وجوی استاد و پژوهشگر

Jonathan Jingsheng Shiمشاهده پروفایل

استاد

• Green Technologies
• Construction Operations Modeling
• Project Planning and Scheduling
• +۵ مورد دیگر

Jonathan Jingsheng Shi is a Professor and Holder of the Art E. Favre Industrial Construction Chair at Louisiana State University's Bert S. Turner Department of Construction Management. He has held academic roles since 1985, including professorships at the University of Florida, University of Nebraska-Lincoln, and Illinois Institute of Technology, with extensive industry collaborations. His research focuses on green technologies, construction operations modeling, energy efficiency, and ERP systems. Education: Ph.D., University of Alberta, Canada (1992–1995) M.Sc., Wuhan University, China (1982–1985) B.Sc., Wuhan University, China (1978–1982) Research Interests: Dr. Shi’s work integrates sustainability, data-driven construction processes, and advanced technologies. Key areas include energy-efficient building systems, project scheduling optimization, and neural networks for construction analysis. His projects often bridge academia and industry, emphasizing practical applications. Grants & Projects: "Building Energy Efficient Homes for America (BeeHa)" ($660,345 USD, US DOE) "Advanced Decentralized Water/Energy Network Design" ($1.25M, US EPA) "Highway Work Zone Safety Audit Guidelines" ($1M+, FHWA) His research has received over $8M in federal and industry funding, addressing critical issues in construction sustainability and safety. Advising & Collaboration: While no students are listed, his projects involve interdisciplinary teams with industry partners. He has co-led initiatives with organizations like the Illinois Department of Transportation and the US Department of Energy.

Timothy Ngمشاهده پروفایل

مدرس

• Formal Languages
• Automata Theory
• High-Performance Computing
• +۴ مورد دیگر

Timothy Ng is a Lecturer in the Department of Computer Science at the University of Chicago. He teaches courses in the introductory and theory sequences for the Computer Science major in the College, as well as the theory core for the Masters Program in Computer Science. His research focuses on formal languages, automata theory, and high-performance computing. He has a strong background in parallel scripting frameworks, distributed-memory systems, and compiler optimization techniques for extreme-scale applications. Ng holds a PhD from Queen’s University, where he was advised by Kai Salomaa and David Rappaport. He completed a postdoctoral fellowship at the Cheriton School of Computer Science, University of Waterloo, working with Lila Kari. His work emphasizes practical programming models for high-performance computing, including implicit parallelism and dataflow coordination in scientific computing environments. His research articles span topics like implicit parallel scripting, distributed-memory computing, and big data staging for scientific applications. His contributions include frameworks like Swift/T and Photon, which address scalability and efficiency in parallel environments.

• Ocean Acoustics
• Physical Oceanography
• Marine Sciences
• +۳ مورد دیگر

Dr. Olaf Boebel is a Researcher at the Alfred Wegener Institute's Physical Oceanography department in Bremerhaven, Germany. He leads the Ocean Acoustics Group and specializes in ocean acoustics and the physical oceanography of the Weddell Sea. His work integrates acoustic monitoring, physical oceanography, and climate science to study Southern Ocean dynamics, ice shelf interactions, and marine biodiversity. Affiliations: Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research Key Roles: Head of Ocean Acoustics Group, Principal Investigator for Weddell Sea expeditions His research focuses on understanding Weddell Gyre circulation, under-ice shelf eddies, and acoustic tracking of marine mammals. He has led major projects like the MOSAiC expedition and contributed to acoustic monitoring frameworks for global ocean observation networks. Boebel's work bridges observational data (e.g., moored instruments, Argo floats) with climate modeling to address pressing environmental questions. Publications emphasize integrating acoustic data from Southern Ocean moorings with satellite observations, advancing techniques for whale presence detection, and analyzing hydrographic patterns influencing nutrient distribution. His contributions are critical to the Weddell Gyre Upwelling and Dynamical Processes (WedUP) initiative and global ocean sound monitoring efforts.

• Internet of Things (IoT)
• Edge Computing
• eHealth Systems
• +۷ مورد دیگر

Dr. Menychtas Andreas is an Assistant Professor at the Department of Digital Systems, School of Informatics and Communications, University of Piraeus. He holds a PhD from the National Technical University of Athens (2009), specializing in service-oriented architectures. His teaching focuses on distributed computing, programming, and information systems development across multiple institutions including the University of Piraeus and Hellenic Open University. Research interests center on modern computing infrastructures, software development, and IoT applications, with particular emphasis on Edge Computing, smart cities, telemedicine, and machine learning. He has led over 20 European and national projects, publishing >100 articles with 1,900+ citations. Key areas include AR healthcare solutions, bias mitigation in AI, and secure medical IoT systems. Notable contributions include the MedSecurance project (medical IoT security), CrowdHEALTH platform (big data-driven public health policies), and AGILE framework (open-source edge computing). His work bridges theoretical research with practical implementations in wearable tech, telemedicine systems, and urban smart infrastructure. Grants and collaborations highlight extensive industry partnerships, with current focus on digital twins for healthcare robotics (AI4Work), AI-driven pandemic monitoring, and gamification in healthcare platforms. His lab develops innovative solutions at the intersection of AR, edge computing, and healthcare informatics.

• Machine Learning
• Data Systems
• Resource-Aware Computing
• +۵ مورد دیگر

Pinar Tözün is an Associate Professor and Head of the Data, Systems, and Robotics department at the IT University of Copenhagen. She leads multiple research groups, including the Resource-Aware Data Systems and Data-intensive Systems and Applications. Her roles also include academic responsibility for DASYA and involvement in the Center for Climate IT. Her research focuses on resource-aware computing, machine learning systems, heterogeneous hardware optimization, and sustainable data management. Key areas include workload characterization, GPU utilization, and benchmarking frameworks for edge devices and cloud systems. Dr. Tözün has led significant projects such as MOTH (Machine Learning on Tiny Hardware), RAD+ (Resource-Aware Data Science), and DAPHNE (Integrated Data Analysis Pipelines), funded by institutions like the Novo Nordisk Foundation and the European Commission. She has published extensively in top venues, including Proc. ACM Manag. Data and Dagstuhl Reports, with a focus on efficient machine learning pipelines and hardware-aware systems. Her work has been highlighted in media discussions on sustainable hardware and software practices. Tözün also actively participates in academic governance, serving on hiring committees and shaping future faculty recruitment in data-intensive systems.

Barbara Jo Whiteمشاهده پروفایل

استاد

• Artificial Intelligence
• Information Systems Education
• IT and Law
• +۵ مورد دیگر

Barbara Jo White is a Professor of Computer Information Systems at Western Carolina University's College of Business, within the School of Accounting, Finance, Information Systems, and Business Law. She holds a PhD in Business Administration from the University of Mississippi, an MBA in Management Information Systems from East Carolina University, and a BA in Journalism and Botany from the University of North Carolina at Chapel Hill. Her research interests span Artificial Intelligence (AI), Prompt Development Life Cycle (PDLC), IT and Law intersections, search engine imagery, and emerging technologies in education. She has pioneered initiatives like the World Map Project (1987–1989) while serving as a Peace Corps Volunteer in the Dominican Republic, creating global map murals in schools worldwide. She also founded the Sound To Sea Program (1992–2000), engaging 150,000 students in coastal environmental education. Her publications focus on AI ethics in education, data privacy compliance, interdisciplinary remote work during crises, and business analytics tools like Tableau. Her teaching emphasizes courses like CIS251 (Enterprise Information Systems), CIS353 (Database Theory), and BA304 (Multicultural Business Communication), blending technical rigor with global perspectives. She integrates real-world projects into curricula, such as geolocation-enabled mobile apps and IT governance frameworks. Dr. White’s career combines academic innovation with community engagement, spanning Peace Corps service, coastal environmental education, and global IT policy exploration. Her work highlights intersections between technology, ethics, and cross-cultural understanding.

Thomas Rauschمشاهده پروفایل

مدرس

• Edge Computing
• Cloud Engineering
• Artificial Intelligence Systems
• +۳ مورد دیگر

Thomas Rausch is an External Researcher and former University Assistant at TU Wien's Distributed Systems Group (Faculty of Informatics). He holds a PhD in Computer Science (2021) and master's degree in Software Engineering from TU Wien (2016). His work focuses on edge computing, cloud engineering, and AI systems, with notable contributions to frameworks like LocalStack and CognitiveXR. Education: M.Sc. in Software Engineering & Internet Computing (2016), Ph.D. in Computer Science (2021 – TU Wien). Research Interests: Edge computing systems, distributed interactive systems, cognitive augmentation, and cloud-edge AI integration. He has pioneered privacy-preserving edge systems and serverless platforms for data-intensive workloads. Publications: Over 20 peer-reviewed articles on edge computing frameworks, privacy-aware systems, and large-scale AI operations. Recent work includes faas-sim (2023) and Mobility-Aware Serverless Adaptions (2022). Awards: SEC 2019 Best Demo Award, 2020 Netidee Grant, Finalist TU Wien Teaching Awards. Grants: Netidee Grant (2020), CPS/IoT Ecosystem collaboration (2019–present). Teams: Founded CognitiveXR (edge-AI platform) and co-founded LocalStack (serverless testing).

Kashinath Basuمشاهده پروفایل

مدرس ارشد

• Network Virtualization
• Cloud Computing
• AI/ML in Networking
• +۷ مورد دیگر

Dr. Kashinath Basu is a Senior Lecturer in Computer Science at Oxford Brookes University, affiliated with the School of Engineering, Computing and Mathematics. He holds a PhD in Computer Science and specializes in network virtualization, cloud computing, AI/ML for infrastructure management, and smart grid communication. His research explores SDN/NFV, cybersecurity frameworks, and quantum-resistant cryptography. Education: PhD in Computer Science, with academic and professional experience spanning over two decades. Research focuses on next-gen networks, cloud orchestration, and AI-driven security solutions. Current projects include softwarization of networks, smart grid communication protocols, and QoS-aware cloud services. Research interests span from foundational network architecture design to applied cybersecurity in smart cities. He has authored influential papers on topics like SD-WAN traffic prediction using ML, QoS-aware service selection in cloud environments, and control frameworks for smart grids. His work bridges theoretical network research with real-world infrastructure challenges. Professional contributions include editorial roles for journals like IEEE Transactions on Smart Grid and active participation in IEEE Working Groups on SDN/Quantum Communication. He has organized major conferences such as IEEE MobileCloud and ITNAC, reflecting his leadership in advancing network technologies. Labs/Teams: Member of the Cloud Computing and Cybersecurity Research Group, Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute, and the Dependable Systems Engineering Research Centre. Collaborates with industry partners on projects related to autonomous cyber defense and blockchain for smart city infrastructure.

Peter C Y Yauمشاهده پروفایل

استادیار

• Web Development
• Cloud Computing
• System Automation
• +۵ مورد دیگر

Dr. Peter C Y Yau Dr. Peter C Y Yau is an Assistant Professor in the School of Computing Science at the University of Glasgow's Singapore campus. He holds a DBA from the University of Newcastle, Australia, focusing on Financial Technology adoption, alongside an MA in Law and an MMgt in Financial Management. His research spans Web Development, Cloud Computing, IoT, Fintech, and Ethical AI in Education. Roles: Assistant Professor, Amazon AWS Cloud Ambassador, ABET Programs Evaluator Education: DBA (University of Newcastle), BSc (CUHK), MA Law (uLaw), MMgt (MGSM) Research & Teaching His work emphasizes applied learning, including an unmanned smart-tech lab in Hong Kong and Fintech projects using machine learning. He teaches courses like CSC3010 (Information Retrieval) and MEC3361 (Industrial IoT & Data Analytics). Publications & Awards Over 35 publications in journals/conferences since 2020. Notable awards include Microsoft MVP (2024). Active in editorial roles for the Journal of Artificial Intelligence and Big Data . Key Projects First unmanned smart-tech lab in Hong Kong for education Fintech automation project using social sentiment analysis GenDatr: probabilistic medical data visualization

Sandy Brownleeمشاهده پروفایل

مدرس ارشد

• Optimization
• Artificial Intelligence
• Metaheuristics
• +۷ مورد دیگر

Dr Sandy Brownlee is a Senior Lecturer in Computing Science and Mathematics at the University of Stirling, affiliated with the School of Natural Sciences. He leads the Data Science and Intelligent Systems research group and co-leads the AI Theme for SICSA. He is also a Visiting Fellow in Civil and Building Engineering at Loughborough University. His work focuses on explainable optimization techniques, metaheuristics (including evolutionary algorithms and estimation of distribution algorithms), fitness modeling, constraint handling, and decision support systems. Applications span civil engineering, healthcare, software engineering, and art. Education: BSc (Hons) in Computer Science (2005) and PhD in Multivariate Markov Networks for Fitness Modelling (2009), both from Robert Gordon University. Post-PhD roles included research at Loughborough University and industry experience in energy sector software engineering before joining Stirling in 2013. Research interests emphasize bridging optimization theory and real-world applications, with a focus on algorithm transparency and value-added insights. He has over 100 publications, including work on surrogate models, genetic improvement (GI), and XAI in evolutionary computation. Current roles include MSc program director for Artificial Intelligence and Big Data. His Erdos-Bacon number (8) reflects interdisciplinary reach, combining academic collaboration (3) with minor media appearances (5). He actively contributes to conferences, workshops, and public lectures on AI and optimization.

Iñaki Úcarمشاهده پروفایل

استادیار

• Machine Learning
• Computational Social Science
• High-Performance Computing
• +۳ مورد دیگر

Iñaki Úcar is an Assistant Professor at the Department of Statistics, University Carlos III de Madrid, and a Research Fellow at the university's Big Data Institute. He directs the Master in Computational Social Science program and is an advocate for open-source software, particularly contributing to R packages like simmer , units , and quantities . His expertise spans statistical software, high-performance computing, simulation, data visualization, and network analysis. He holds an MEng in Telecommunications Engineering and an MScEng in Communications from Universidad Pública de Navarra (2011-2013), followed by an MScEng and PhD in Telematic Engineering from University Carlos III de Madrid (2014-2018). His research focuses on ML interpretability, computational social science applications (e.g., misinformation, inequality), and network dynamics. Recent work includes analyzing gender gaps in academic productivity during the pandemic and developing polynomial-based neural network frameworks. His articles highlight interdisciplinary contributions to R tooling, neural network theory, and socio-technical systems analysis. He actively organizes the Statistics Reading Club and NICDA workshops. Despite no listed formal advisees, his open-source contributions and collaborative projects reflect strong academic engagement.

Eric Muhatiمشاهده پروفایل

مدرس

• Network Security
• Cyber-Physical Systems
• Secure IoT Systems
• +۵ مورد دیگر

Eric Muhati is an Instructor in the Department of Electrical Engineering and Computer Science at Oregon State University's College of Engineering. With a Ph.D. in Computer Science from Howard University (2021), his professional journey includes founding a software company and transitioning into academia. His research focuses on applying machine learning to cybersecurity challenges, including secure IoT systems, cyber-physical systems, and autonomous vehicular networks. Education: Ph.D. in Computer Science, Howard University, 2021 Research Interests: Muhati’s work addresses critical areas such as network security through machine learning, AI-driven threat prediction, and visualization of cyber-attack dynamics. His recent projects include anti-spoofing protocols, blockchain-IoT alliances, and geographically referenced cyber-defense simulations. He also explores cybersecurity challenges in industries like autonomous vehicles and small-to-medium enterprises in Kenya. Grants & Awards: No specific grants or awards listed. Labs & Collaborations: Active in Oregon State’s cybersecurity research groups, with ongoing projects on cyber agility prediction and secure edge computing frameworks.

Dominik Kremerمشاهده پروفایل

پژوهشگر

• Place-based GIS of health and wellbeing
• Geocommunication and Place-based Content Delivery
• Experiencing place in digital media
• +۳ مورد دیگر

Dr. Dominik Kremer is a Researcher and Research Technology Coordinator at the Leibniz Institute for Regional Geography (IfL) since July 2025. His roles include managing institute operations and advancing digital research infrastructure. Previously, he held postdoctoral positions at Friedrich-Alexander-Universität Erlangen and Otto-Friedrich-Universität Bamberg, alongside extensive experience as an IT consultant in geo-content delivery. His research focuses on geocommunication, place-based GIS analysis, and digital tools for education and heritage. Key projects include the GeoExplorer app for fieldwork and public trails, and SpaceLog for tracking green space experiences. He actively contributes to the Visual Regional Geographies initiative and the EEGA Science Campus. Kremer is deeply engaged in digital humanities, co-editing the book Geographical Research in the Digital Humanities and leading initiatives on theory and project management. He chairs committees in the German Society of Geography and the Digital Humanities community, advocating for interdisciplinary collaboration. His work bridges technology and human geography, emphasizing practical applications in education and public engagement. Recent projects explore mobile GIS for wellbeing studies and collaborative research methodologies like Scrum in academic contexts.

Nadia Amorosoمشاهده پروفایل

دانشیار

• Landscape Architecture
• Data Visualization
• Creative Mapping
• +۵ مورد دیگر

Nadia Amoroso is an Associate Professor in the Department of Landscape Architecture at the University of Guelph, affiliated with the School of Environmental Design and Rural Development. She holds a PhD from University College London and degrees from the University of Toronto. Her research focuses on visual communication in landscape architecture, digital design, data visualization, and GeoDesign, with emphasis on creative mapping and urban data analysis. She co-founded DataAppeal, a company developing 3D GIS tools for accessible data visualization. Amoroso leads the Digital Design Research Hub (DDRH), exploring hybrid design methods combining traditional and digital techniques. She has authored influential books like The Exposed City: Mapping the Urban Invisibles and Representing Landscapes series. Awards include the CFI-JELF Award (2018) and CELA Communications Award (2018). Her teaching spans design visualization, digital technologies, and environmental representation. She advises student projects like the award-winning Winter Stations installation, blending climate change themes with public art. Education : PhD Architectural Design, University College London (2010) MUD Urban Design, University of Toronto (2002) BLA Landscape Architecture, University of Toronto (2000) Research Interests : Data visualization & creative mapping GeoDesign and spatial analysis 3D datascaping for urban planning Digital design pedagogy Visualization of environmental data Grants & Projects : Canada Foundation for Innovation funding for DDRH (2018) Winter Stations Competition win (2018) DataAppeal software development Affiliations : Ontario Association of Landscape Architects American Society of Landscape Architects Council of Educators in Landscape Architecture Labs/Teams : Leads the Digital Design Research Hub (DDRH) at U of Guelph, fostering experimental digital design practices.

Ang Liمشاهده پروفایل

استادیار

• Hematology
• Oncology
• Clinical Epidemiology
• +۱۲ مورد دیگر

Dr. Ang Li, M.D., M.S., is an Assistant Professor in the Department of Medicine – Hematology & Oncology at Baylor College of Medicine, and a member of the Dan L Duncan Comprehensive Cancer Center in Houston, Texas. He is a physician-scientist specializing in non-malignant hematology, with a clinical and research focus on coagulation disorders, cancer-associated thrombosis, and thrombotic microangiopathy. His educational background includes: M.D. from Baylor College of Medicine (2012) Residency at Massachusetts General Hospital (2015) Fellowship at University of Washington/Fred Hutchinson Cancer Research Center (2018) M.S. in Public Health from University of Washington (2019) Dr. Li leads the Li Lab, which conducts clinical epidemiology and health services research using big data from electronic health records and administrative claims databases. His research focuses on risk prediction modeling for venous thromboembolism in cancer and transplant patients, health disparities in thrombosis care, and biomarker validation in transplant-associated TMA. He has developed and validated tools such as the EHR-CAT risk model and the HIGH-2-LOW score. His recent publications demonstrate a strong trend in using large-scale data to improve thrombosis risk stratification, address health inequities, and evaluate therapeutic interventions across diverse populations. His work spans epidemiology, comparative effectiveness, cost analysis, and machine learning applications in hematology. Dr. Li has received significant recognition, including: 2024 ASH Junior Faculty Scholar Award 2023 ASH Abstract Achievement Awards for multiple trainees in his lab He is principal or co-investigator on multiple grants from NIH/NHLBI, CPRIT, CDC, and AIM-AHEAD, supporting research in thrombosis prediction, health disparities, and AI-driven equity initiatives. He mentors a multidisciplinary team of post-doctoral fellows, medical residents, biostatisticians, and software engineers. His lab actively collaborates with national organizations and presents regularly at major hematology conferences such as the American Society of Hematology annual meeting. Dr. Li’s lab, the Li Lab, is engaged in several key projects including prospective validation of TA-TMA biomarkers, epidemiology of cancer-associated thrombosis, and AI/ML applications to address disparities in underserved cancer populations.