Find Academic Supervisors

• Telecommunications
• Autonomous Systems
• Aeronautical Systems
• +7 more

Professor Saba Al-Rubaye is a leading academic in Telecommunications and Autonomous Systems at Cranfield University's Faculty of Engineering and Applied Science. She holds the Chair in Telecommunications and Autonomous Systems and is affiliated with the UK Telecoms Innovation Network. Her expertise spans 6G technologies, autonomous systems, and smart air mobility. With over 20 years of experience, she has published over 100 peer-reviewed papers and secured significant grants from Innovate UK, EPSRC, and international bodies. Research Interests: Her work focuses on 5G/6G communications, autonomous systems, UAV security, and non-terrestrial networks (NTNs). Her research emphasizes integrating satellite and terrestrial networks for UAV operations, secure authentication protocols, and digital twin applications in aviation. Recent projects include Project RISE and Advanced Air Mobility Ecosystems Phase III, totaling £9.5M in funding. Recent Publications: Her 2024 work on 6G handover algorithms and 2025 studies on AI-driven decision-making highlight her contributions to future aviation connectivity. Key themes include seamless UAV communication, interference mitigation, and blockchain security in UAV networks. Awards: She has won multiple IEEE best paper awards (2011, 2015, 2020–2024) for her contributions to UAV communications and vehicular networks. Her leadership extends to organizing workshops at IEEE ICC and PIMRC conferences. Grants & Projects: Principal Investigator/Co-I in £9.5M Future Flight Challenge projects, including Phase III Advanced Air Mobility Ecosystems and UAS Authentication System (£500k). Collaborations include Virgin Atlantic, NATS, and Thales. Labs & Teams: Leads the Advanced 5G for Transport Delivery initiative and the Digital Aviation Connectivity & Security project. Her research group actively explores 6G NTN integration and secure UAV frameworks.

• Applied Econometrics
• Urban Economics
• Labor Economics
• +3 more

Bryan S. Weber is an Associate Professor at the College of Staten Island (CUNY) and holds a faculty position at the CUNY Graduate Center. He is also a Research Fellow at the University of Economics, Ho Chi Minh City. His research focuses on applied econometrics, urban economics, transportation, labor economics, and digital entertainment. He teaches courses such as Econometrics, Big Data Analytics, and Behavioral Economics. His work integrates machine learning and statistical methods to address real-world policy questions, particularly in urban and labor market contexts. He serves as an Associate Editor for Evaluation Review and Journal of Asian Business and Economics , and has contributed to peer review and editorial work in academic publishing. His research interests include analyzing the impacts of transportation policies, digital platforms, and public policies on urban crime, labor markets, and economic behavior. Notable projects include studies on the effects of tax hikes on ridership, the implications of ferry transit for urban safety, and machine-learning-driven analyses of firm responses to crises like the pandemic. His work often bridges theoretical economic models with applied data science, leveraging tools like causal inference and experimental design. Bryan is actively involved in academic software development, as seen in his GitHub contributions, including the CUNYAIModule project focused on AI for StarCraft gameplay. This demonstrates his interest in applying economic principles to adversarial environments and algorithmic decision-making. His interdisciplinary approach spans economics, data science, and policy analysis, with a strong emphasis on reproducibility and empirical rigor.

• Building Information Modeling (BIM)
• Digital Twins
• Construction Management
• +3 more

Eilif Hjelseth is a Professor at the Department of Civil and Environmental Engineering, Norwegian University of Science and Technology (NTNU), with a focus on Building Information Modeling (BIM), Digital Twins, and Construction Technology. His work spans digital transformation in the AECO industry, automated compliance checking, and sustainable construction practices. Role: Professor, Department of Civil and Environmental Engineering University: Norwegian University of Science and Technology (NTNU) Research: BIM, Digital Twins, Construction Automation, Sustainable Development, Semantic Modeling Outreach: Authored multiple textbooks and reports on VDC implementation and BIM standards His recent publications emphasize digital twin frameworks , semantic data integration , and automation in construction , particularly through cross-validation, knowledge graphs, and circular economy applications. While specific educational details or grants aren't mentioned, his work demonstrates extensive collaboration with researchers across Norway and Europe on digitalization challenges. Key trends in his 2024–2025 articles include cross-domain BIM integration , deep learning for component classification , and standardization of digital product passports . Earlier works (2012–2020) established foundational concepts in BIM model checking, lifecycle costing, and regulatory digitization.

Tor OiamoView profile

Associate Professor

• Environmental Health
• Exposure Assessment
• Urban Environmental Studies
• +3 more

Tor Oiamo is an Associate Professor in the Department of Geography and Environmental Studies at Toronto Metropolitan University. He leads the Exposure Science and Environmental Health (EXPOSCEN) Lab, which focuses on linking environmental factors like noise and air quality to health outcomes. His research emphasizes exposure assessment through environmental models, population metrics, and simulation systems to evaluate urban changes' health impacts. Collaborations with Health Canada and Toronto Public Health inform policy-oriented environmental decision-making. He teaches courses on environmental decision-making, sustainable development, demography, and environmental health. Research interests include environmental determinants of health, particularly in vulnerable urban populations, and the intersection of urban design with health equity. His work combines geographical analysis with epidemiological methods to address systemic risks from multiple environmental exposures. Recent articles highlight trends in noise pollution's effects on cardiovascular health, neurological disorders, and sleep disturbances, alongside studies on urban green spaces and air quality modeling. He has also explored the spatial distribution of health risks, such as restaurant inspection results and breast cancer clustering hypotheses. While no formal awards are listed, his contributions to environmental health research are evident through his extensive publication record and collaborative projects. Advising efforts are not detailed, but his research involves large-scale cohort studies like the Ontario Population Health and Environment Cohort (ONPHEC). The EXPOSCEN Lab serves as a hub for integrating urban modeling frameworks (e.g., SMARTPLANS) to assess sustainability and health outcomes in Canadian cities.

• FPGA Acceleration
• Machine Learning
• Biomedical Informatics
• +7 more

Vasileios Tsoukas is a Ph.D. candidate and researcher at the University of Thessaly, actively contributing to the Intelligent Systems Research Laboratory (iSL) in Lamia. His work focuses on FPGA acceleration architectures and algorithms for machine learning applications in healthcare, logistics, and environmental monitoring. BSc in Computer Engineering, Technological Educational Institute of the Peloponnese MSc in Informatics with Security Applications, Big Data and Simulation, University of Thessaly His research bridges hardware acceleration (FPGA) and TinyML to address computational power constraints in portable devices. Applications include medical diagnostics, robotics, bioinformatics, and fraud detection, targeting real-world challenges in telemedicine, smart agriculture, and supply chain security. Recent publications highlight his expertise in TinyML for implantable neurostimulation systems, telemedicine governance, gas leakage detection, and blockchain integration in food supply chains. His work emphasizes low-power, high-accuracy solutions for constrained environments. Vasileios is affiliated with the Intelligent Systems Research Laboratory (iSL), where he develops edge computing systems and contributes to interdisciplinary projects in healthcare and logistics.

• Technology Credit Scoring
• Operational Research
• Data Mining
• +5 more

So Young Sohn is a distinguished Professor at Korea University's College of Business, Department of Management Engineering, with over two decades of impactful research in technology management and operations research. Her scholarly contributions have established her as a leading expert in technology credit scoring, data mining applications, and technology convergence analysis. Dr. Sohn's research interests span technology credit scoring for SMEs, operational research methodologies, data mining techniques, machine learning applications in business contexts, technology convergence patterns, patent analysis, and SME financing mechanisms. Her work bridges theoretical rigor with practical business applications, particularly focusing on Korean case studies that have broader international relevance. She has pioneered innovative approaches using knowledge graphs, multiplex networks, and deep learning techniques to solve complex business problems. Her publication portfolio reveals consistent research trends toward increasingly sophisticated analytical methods, evolving from traditional statistical models to advanced machine learning and network science approaches. Recent work demonstrates particular focus on technology convergence, digital therapeutics, and AI applications in business decision-making. The interdisciplinary nature of her research spans business analytics, engineering, healthcare, and environmental science. Dr. Sohn has received recognition through numerous high-impact publications in premier journals including Expert Systems with Applications, European Journal of Operational Research, Scientometrics, and IEEE Transactions. Her research has been consistently funded through competitive grants focusing on technology management and innovation. As an academic mentor, Dr. Sohn has advised numerous doctoral students who have gone on to productive research careers, with many continuing to collaborate with her on ongoing projects. Her research team has secured substantial funding for projects related to technology credit scoring, technology convergence analysis, and predictive analytics applications. Dr. Sohn leads a dynamic research laboratory focused on technology analytics and decision support systems, collaborating with industry partners and government agencies to translate research findings into practical business solutions. Her current work emphasizes sustainable technology development and AI-driven decision support systems for complex business environments.

• IoT
• Smart Cities
• Digital Twins
• +5 more

Anwar Hossain is an Associate Professor at the School of Computing, part of the Faculty of Arts and Science at Queen's University. His research focuses on IoT, smart cities, healthcare technology, and machine learning applications. He has contributed to advancements in digital twins, edge computing, and railway defect detection using AI-driven methodologies. His work integrates ethical considerations with technical innovation, particularly in healthcare systems and infrastructure maintenance. Research interests span interdisciplinary areas such as multimodal AI for behavioral therapy, generative models for defect analysis, and privacy-preserving data aggregation in smart environments. His publications highlight trends in predictive healthcare systems, IoT-enabled infrastructure monitoring, and cognitive frameworks for urban systems. Notable contributions include frameworks for intelligent edge processing in smart cities and digital twin applications for mental well-being. His articles emphasize practical solutions for challenges in public health, railway safety, and urban sustainability. While no awards are explicitly listed, his extensive publication record reflects academic and industry relevance. Dr. Hossain collaborates on projects involving healthcare CPS (Cyber-Physical Systems), IoT security, and adaptive algorithm recommendation. His work bridges theoretical research with real-world implementations, contributing to both academic discourse and technological innovation in his field.

• Computer Networks
• Telecommunications
• Machine Learning
• +4 more

Živko Bojović is affiliated with Singidunum University, holding a doctoral degree in Telecommunications and Signal Processing from the University of Novi Sad. His career includes roles as an engineer and manager in telecommunications companies like Telekom Srbija and PTT Serbia. He has extensive experience in academic publishing, with monographs on network technologies and textbooks on software-defined networking (SDN) and IoT applications. His research focuses on cybersecurity, machine learning applications in healthcare, smart government systems, and network virtualization. Education: PhD in Telecommunications (2011), Postgraduate studies in Telecommunications (2000-2001), Bachelor’s in Electronics with Telecommunications (1986-1992). He also completed high school in Peć with a mathematical focus. Research Interests: He explores advanced networking technologies including SDN, 5G/6G networks, IoT security, and educational technology innovations. His work bridges theoretical advancements with practical implementations in healthcare diagnostics and public sector digitization. Recent studies include applying machine learning to predict thrombosis and thyroid cancer metastasis, reflecting his interdisciplinary approach. His articles collectively highlight trends in smart systems (e.g., government services, energy grids) and network security, with frequent contributions to journals like Computer Applications in Engineering Education and Journal of Network and Systems Management . The Wiley Top Cited Article award (2020-2021) recognizes his impactful work on rapid transition to distance learning during crises. Prof. Bojović holds IEEE membership and sits on editorial boards for journals like Inventi Impact: Software Engineering . He actively participates in EU Horizon projects focusing on 6G privacy and smart city analytics.

Daniel GöhringView profile

Professor

• Autonomous Vehicles
• Mobile Robotics
• Computer Vision
• +6 more

Prof. Daniel Göhring is a professor in the Department of Computer Science at the Free University of Berlin, leading the Autonomous Cars Lab and part of the Dahlem Center for Machine Learning and Robotics. His research emphasizes robotic perception, object tracking, and real-time planning under computational constraints, with a focus on autonomous vehicles and cooperative systems. Education: Bachelor's/Master's in Robotics (exact program unspecified) PhD in Computer Science at Humboldt University Berlin Postdoctoral Research at International Computer Science Institute (ICSI), Berkeley, CA Research Interests: Daniel's work integrates machine learning and sensor technologies like LiDAR and cameras to address challenges in autonomous driving. Key areas include SLAM algorithms, trajectory prediction, cooperative perception, and real-time systems. He explores how limited sensor data and computational resources can be optimized for dynamic traffic environments. Grants and Projects: Leader of the Autonomous Cars Lab Involved in EU-funded projects such as H2020 HIVEOPOLIS and KIS-M (AI-based mobility systems) Past projects include CRTX (recycling optimization), Open.Make (open hardware), RoboFish (biological swarm analysis), and SAFARI Awards: Best Poster Award at IAAS Workshop 2024 Best Paper Award at ICAIR-CACRE 2019 Teaching: He has taught courses such as Image Processing, Robotics, and Advanced Robotics. Recent semesters include modules on self-supervised learning, autonomous vehicle research, and continuous learning software projects. Labs and Teams: Daniel heads the Autonomous Cars Lab and collaborates with the BioRobotics Lab, focusing on interdisciplinary projects like 'Robots Communicating with Fish' and 'Open Hardware for FAIR Robotics.'

• Social Psychology
• Community Psychology
• Civic and Political Participation
• +5 more

Elvira Cicognani is a Full Professor of Social Psychology at the University of Bologna's Department of Psychology 'Renzo Canestrari', where she also serves as Department Head. She specializes in civic and political participation, community psychology, and youth citizenship development. Her current Horizon Europe project SINCRONY (2024-2027) focuses on intersectional inclusion in youth deliberation and participation. Previously, she led the EU-funded CATCH-EyoU project (2015-2018). Educated at the University of Bologna (Bachelor, 1986), University of Wisconsin-Madison (Teaching Assistantship, 1987–1988), and University of Sussex (Erasmus, 1989), she completed her PhD in Social Psychology at the University of Padua (1995). Her research bridges theory and practice through participatory action research methodologies. Her work emphasizes school-based interventions to foster civic engagement, with notable contributions to understanding global citizenship, youth participation in EU contexts, and health promotion partnerships. She coordinates multidisciplinary teams in projects involving 9+ international partners, focusing on policy-relevant outcomes and impact assessments. Key Projects: SINCRONY (2024–2027), CATCH-EyoU (2015–2018), ASSETSCOM (2016–2018) Teaching: Master's courses in Community Health Promotion and Bachelor's courses in Community Interventions with Adolescents Institutional Roles: Director of the Department of Psychology (2021–2024), Member of University Senate Research Centers: Founding Director of the Laboratory of Community Psychology (2006–2013) and current Director of CESCOM (Center for Community Empowerment)

Brighton NyagadzaView profile

Lecturer

• Digital Marketing
• Sustainable Supply Chain Management
• Circular Economy
• +7 more

Brighton Nyagadza is a Lecturer in Digital Marketing at York St John University's London Campus. Previously, he served as Chairperson of the Department of Marketing at Marondera University of Agricultural Sciences and Technology (MUAST), Zimbabwe. His academic work focuses on digital marketing, sustainable supply chains, circular economy strategies, and technology-driven entrepreneurship in African contexts. He holds a PhD in Marketing from Midlands State University, Zimbabwe, and has published extensively in journals such as the Journal of Digital Media & Policy and European Journal of Innovation Management . Dr. Nyagadza serves on editorial boards, including the Journal of Digital Media & Policy , and has acted as an External Examiner for institutions like the University of the Witwatersrand (South Africa) and Africa University (Zimbabwe). His research explores digital transformation, frugal innovation, and the intersection of technology with economic and social development in emerging markets. His research interests include digital marketing strategies, circular economy frameworks, sustainable agricultural marketing, and the impact of technological advancements on SMEs. He has contributed to over 30 peer-reviewed articles and three Scopus-indexed books, addressing topics like AI-driven marketing, agritourism, and pandemic impacts on livelihoods. Dr. Nyagadza’s work emphasizes practical solutions for African economies, bridging theoretical insights with real-world applications. His recent articles highlight themes like algorithmic optimization for air quality prediction, the role of digital technologies in post-pandemic recovery, and strategies for fostering innovation in resource-constrained environments. He advocates for inclusive growth through education, innovation, and policy reforms. As a postgraduate research supervisor, he mentors students exploring digital marketing, sustainability, and entrepreneurship in global contexts.

• Sustainability
• Multisensory Design
• Performance-Based Architecture
• +3 more

Dr. Pantea Alambeigi is a Senior Lecturer in Architecture at Swinburne University of Technology's School of Design and Architecture. She specializes in sustainability, multisensory design, and performance-based architecture, focusing on the interplay between human perception and the built environment through acoustics and daylighting. Her research integrates computational tools and data-driven methodologies to enhance architectural design strategies. Her interdisciplinary work explores 'Seamless Architecture' by combining emerging technologies with environmental factors and human behavior. She teaches undergraduate and graduate courses in design studios, construction, and sustainability, and supervises PhD candidates on topics like multisensory stimuli in indoor spaces and digital tools for BIM workflows. Alambeigi has secured grants including the ARC Training Centre for Next-Gen Architectural Manufacturing (2024–2029) and a National Association of Steel-framed Housing contract on sustainable design. Her work has been recognized with the Best Paper Award at the 2016 CAADRIA conference. Key research outputs include studies on acoustic shadows, wind-induced noise in drywall systems, and virtual soundscapes of the Sagrada Família Basilica. Her contributions span architectural acoustics, data visualization, and biomimicry in engineering, reflecting her commitment to human-centric design innovation.

Meltem AksoyView profile

Associate Professor

• Sustainable Urban Development
• Social Housing Practices
• User Participation in Design
• +7 more

Meltem Aksoy is an Associate Professor at the Department of Architecture, Istanbul Technical University. Her academic work spans urbanization processes, social housing practices, and digital design technologies, with a particular focus on user participation and ecological sustainability in the built environment. Current affiliation: Department of Architecture, Istanbul Technical University Research themes: Composite cities, informal settlements, parametric design, ambient intelligence Her research explores: Intersections of digital technologies and spatial perception Methodologies for participatory social housing Computational approaches to architectural decision-making Temporal-spatial dynamics in contemporary urbanization Recent publications demonstrate trends in: AI-assisted design negotiation frameworks Fuzzy logic applications in architectural performance Critical analyses of composite urban structures Evolution of home-street relationships She has supervised 33 graduate theses spanning topics from: Architectural essay films Political space narratives Smart facade technologies Urban data representation

Benjamin EnnemoserView profile

Assistant Professor

• Architectural Design
• Artificial Intelligence
• Urban Planning
• +3 more

Benjamin Ennemoser is an Assistant Professor in the Department of Architecture, specializing in the intersection of artificial intelligence, urban design, and architectural theory. His work explores how computational methods and machine learning can transform architectural practices, urban planning, and spatial justice. He focuses on topics such as AI-driven design processes, generative models for urban systems, and the ethical implications of technology in built environments. Research interests include: Artificial intelligence applications in architectural form generation Machine learning for urban spatial analysis Sustainable housing typologies and aging-in-place design Critical theory of technology's role in architecture Recent work emphasizes interdisciplinary approaches to: Manifold interpolation techniques for design optimization 3D GAN applications in multi-scale architectural datasets Machine learning frameworks for equitable urban systems (ML-City) No scientific awards or grants are explicitly listed in the provided information. His current research includes collaborations on digital fabrication methods and AI-driven urban justice initiatives.

Heng CaiView profile

Assistant Professor

• Geographic Information Science
• Disaster Resilience
• Socio-Environmental Sustainability
• +3 more

Dr. Heng Cai is an Assistant Professor at Texas A&M University, leading the GIScience for Resilience (GIResilience) Research Group. Her work focuses on geographic information science, disaster resilience, socio-environmental sustainability, and environmental health. She develops geospatial data mining and decision-support tools to model human-environment interactions under climate change and natural hazards. Education: Ph.D. in Environmental Science (Louisiana State University), M.S. in Geographic Information Science (Chinese Academy of Sciences), B.E. in Surveying and Mapping (China University of Geosciences). Research interests include geospatial data science, hazard modeling, and resilience assessment. Her group has pioneered studies on land loss prediction in coastal Louisiana, social media analysis for disaster response, and cyberGIS platforms like PRIME. Recent work emphasizes climate adaptation strategies and urban resilience frameworks. Publications span interdisciplinary journals like Remote Sensing , Annals of the American Association of Geographers , and International Journal of Digital Earth . She actively collaborates with NASA and disaster management agencies, securing grants for projects like HeatSMART and U-CARE. Labs/Teams: GIResilience Group (www.gis-resilience.info) focuses on innovative geospatial solutions for societal resilience. She mentors undergraduate and graduate students in GIS programming, webGIS, and geodatabase applications.