جست‌وجوی استاد و پژوهشگر

• Robotics
• Control Systems
• Nonlinear Control
• +۵ مورد دیگر

Dr. Maarouf Saad is a Lecturer in the Department of Electrical Engineering at École de Technologie Supérieure (ÉTS), Université du Québec. He holds a B.Sc.A. and M.Sc.A. from Polytechnique Montréal and a Ph.D. from McGill University. His research spans robotics, control systems, and sustainable energy applications, with a focus on nonlinear control, UAVs, exoskeleton rehabilitation systems, and smart grid technologies. Education: B.Sc.A., M.Sc.A. (Polytechnique Montréal), Ph.D. (McGill) Research Units: GREPCI (Power Electronics), SYNCHROMEDIA (Telepresence), INIT Robots (Haptic Interfaces) His work integrates adaptive control algorithms with artificial intelligence in robotics, particularly for rehabilitation and aerospace systems. He has pioneered fixed-time sliding mode controllers for quadrotors and developed impedance-based methods for distribution system monitoring. In smart grids, he focuses on voltage stability analysis and distributed generation optimization. Key research trends include nonlinear control of electrohydraulic systems, modeling of flexible manipulators, and cooperative control strategies for multi-agent systems. His publications emphasize practical implementations in real-world scenarios, from autonomous airships to exoskeletons for upper-limb rehabilitation. Dr. Saad supervises numerous graduate students across diverse projects, including UAV control, cable robot rehabilitation systems, and energy management in hybrid microgrids. His collaborations extend to institutions like CAE Inc. and laboratories in telepresence and robotics.

Daniel Rothمشاهده پروفایل

استاد

• Artificial Intelligence
• Virtual Reality
• Augmented Reality
• +۶ مورد دیگر

Prof. Dr. Daniel Roth is a Professor of Machine Intelligence in Orthopedics at the TUM School of Medicine and Health at Technical University of Munich (TUM), appointed in September 2023. His research focuses on human-machine interfaces in medicine, including AI, virtual/augmented reality (XR) technologies for surgical assistance systems, disease diagnosis, and rehabilitation. Previously, he held a junior professorship in Human-Centered Computing and Extended Reality at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). Education: Bachelor's/Master's in Media and Imaging Technology (TH Köln) PhD in Computer Science (Julius-Maximilians-Universität Würzburg) Research Interests: Roth’s work integrates AI and extended reality to solve healthcare challenges. Key areas include: XR-based surgical training and teleconsultation systems AI-driven analysis of surgical workflows Embodiment in virtual environments for medical applications Accessibility technologies for visually impaired users Publications: Recent work emphasizes immersive medical visualization, telemedicine systems, and user embodiment in VR. Key themes include: XR applications in surgery and patient care 3D teleconsultation for emergency scenarios AI-enhanced anatomy visualization Awards: Best Demo Honorable Mention (IEEE VR, 2021) Best Poster Award (ISMAR, 2020) IEEE TVCG Best Journal Paper (2018) Grants & Teams: Active in interdisciplinary projects at Klinikum rechts der Isar. Collaborates with industry partners on AR/VR healthcare solutions. No formal advisee list is provided, but his work involves multi-disciplinary teams. Labs/Teams: Leads machine intelligence initiatives in TUM’s medical school, focusing on translational research between engineering and clinical practice.

• Model Predictive Control (MPC)
• Optimization Techniques
• Aerospace Engineering
• +۳ مورد دیگر

Eric Kerrigan is a Professor of Control and Optimization at Imperial College London's Department of Electrical and Electronic Engineering, part of the Faculty of Engineering. He holds a joint appointment in the Department of Aeronautics. His research focuses on Model Predictive Control (MPC), numerical optimization techniques, and their applications in aerospace, renewable energy, and information systems. Key projects include developing real-time optimization algorithms for embedded systems, co-design frameworks for closed-loop systems, and drag reduction in aerodynamics. He has supervised over 30 PhD students and post-doctoral researchers, many of whom have secured academic positions. Education: PhD in Control Engineering from the University of Cambridge and BSc in Electrical Engineering from the University of Cape Town. Research interests emphasize robust control methods, dynamic optimization, and interdisciplinary applications. Notable contributions include the ICLOCS (Imperial College Optimal Control Software) toolbox and frameworks for energy-efficient UAV communication networks. His work is funded by EPSRC, the European Commission, and industry partners like Siemens and ESA. Funding and collaborations include grants from the Royal Academy of Engineering and Royal Society, with consulting roles in industrial control systems. Editorial roles include Associate Editor for IEEE Transactions on Automatic Control and former Senior Editor for IEEE Transactions on Control Systems Technology . Labs and affiliations include the Control and Power Research Group, Energy Futures Lab, and Space Lab at Imperial College.

Peter Daleniusمشاهده پروفایل

مدرس

• Artificial Intelligence
• Computer Science Education
• Engineering Pedagogy
• +۲ مورد دیگر

Peter Dalenius is a Lecturer at Linköping University (LiU), affiliated with the Department of Computer and Information Science (IDA) and the Artificial Intelligence and Integrated Computer Systems (AIICS) division. He is also part of the Didacticum center, focusing on pedagogical innovation in university education. His work bridges computer science and educational methodologies, emphasizing problem-solving approaches in engineering education. Education Background: Specific academic qualifications are not detailed in the provided text, though his role indicates advanced academic preparation in computer science and education. Research Interests: Dalenius explores how educational frameworks and problem-solving strategies enhance engineering students' learning experiences, particularly in technology-driven fields. His 2009 publication highlights student conceptions of engineering practices through collaborative problem-solving scenarios. Labs/Teams: Associated with the AIICS division and Didacticum, contributing to interdisciplinary projects in AI, computer systems, and pedagogical excellence.

Christopher Turnerمشاهده پروفایل

مدرس ارشد

• Business Analytics
• Digital Manufacturing
• Industry 4.0
• +۵ مورد دیگر

Dr. Christopher Turner is a Senior Lecturer in Business Analytics with a focus on research in human-centric manufacturing, Industry 5.0 automation, and explainable AI. He is affiliated with the cross-University People-centred AI Institute and the IEEE Task Force on Process Mining. His work bridges advanced technologies like the Metaverse and machine learning with practical applications in logistics and maintenance systems. Education: MSc, MSc, PhD Research interests include business analytics, data mining, machine learning, digital manufacturing, and sustainable distributed manufacturing. Recent publications emphasize the integration of extended reality (XR) in production systems and frameworks for explainable AI. With over 100 peer-reviewed publications and 5,600 citations (H-index 30), his research has significant impact. Notable projects include the AUTONOM initiative (collaborating with Network Rail) and a Knowledge Transfer Partnership (KTP) with Basemap, developing logistics management software. Teaching responsibilities include the MSc module Operations Management and Digital Services within the Operations and Supply Chain in the Digital Era and Entrepreneurship programs.

Siqing Chenمشاهده پروفایل

مدرس ارشد

• Landscape Planning
• GIS Ecology
• Landscape Urbanism
• +۲ مورد دیگر

Dr. Siqing Chen is Senior Lecturer in Landscape Architecture at the Melbourne School of Design, University of Melbourne, specializing in GIS ecology and landscape planning. With professional experience in China and the United States, his research examines landscape planning for sustainable built environments, including ecological infrastructure, landscape urbanism, and carbon-neutral landscapes. He holds expertise in integrating geospatial analysis with sustainable design principles. Dr. Chen's research projects have been funded by government and industry partners, addressing cross-scale characterization of functional material systems and sustainable urban development. His teaching portfolio includes landscape planning studios, GIS applications, and ecosystem-based planning courses. Recent publications explore greenway governance in China, renewable energy landscape planning, and spatial analysis of ecosystem services.

Bram Droppersمشاهده پروفایل

پژوهشگر

• Climate Change
• Water Resource Management
• Hydrological Modeling
• +۴ مورد دیگر

Bram Droppers is a Researcher and ICT developer at the Department of Physical Geography, Utrecht University. His work focuses on modeling hydrological systems to address water scarcity, climate adaptation, and sustainable agriculture. He holds a PhD in Earth and Environmental Sciences from Wageningen University (2022), with prior degrees from the same institution (BSc 2014, MSc 2017). His research emphasizes large-scale hydrological models like PCR-GLOBWB and VIC, integrating them with agricultural models and applying deep learning techniques to improve accuracy and computational efficiency. His expertise spans Human Impact on Global Water Systems, Integrated Water Management, and Climate Modeling. Key themes include the interplay between socio-economic factors, climate change, and water resources. He has developed frameworks to assess water constraints on crop production and pioneered high-resolution global hydrological modeling approaches. Recent work explores deep-learning surrogates for process-based models to enhance scalability. Publications highlight analyses of water scarcity hotspots in Pakistan, California, and global basins, alongside model improvements for irrigation management and lake system dynamics. His research supports Sustainable Development Goals, particularly in balancing agricultural productivity with ecosystem protection. Current projects aim to refine global hydrological models for hyper-resolution applications and multi-model ensemble approaches. Bram’s career includes roles as ICT Manager and developer, ensuring technical infrastructure supports his research. He has secured grants through Wageningen’s WIMEK institute and collaborates internationally on initiatives like the ISIMIP Lake Sector. His work bridges computational innovation with environmental sustainability, addressing critical water challenges at planetary scales.

• Cloud Computing
• Distributed Systems
• IoT Service Composition
• +۳ مورد دیگر

Dr. Abdessalam Elhabbash is a Lecturer in Distributed Systems at the Department of Computing and Communications, Lancaster University. His research focuses on IoT service composition, cloud computing, and self-adaptive systems. He is affiliated with the Lancaster Intelligent, Robotic and Autonomous Systems (LIRA) Centre and leads research groups such as LIRA - Environmental Modelling and LIRA - Extreme Environments. His work emphasizes ontological architectures for system composition, cloud migration optimization, and AI-driven IoT frameworks like the IoT Whisperer and TRANSITIVE. Elhabbash advises PhD student Qianhui Lin. He is contactable at a.elhabbash@lancaster.ac.uk. Research interests include: IoT service composition using large language models (LLMs) Multi-cloud performance optimization and pricing strategies Autonomous system design through ontological frameworks Predictive maintenance in Industry 4.0 environments Recent publications highlight advancements in cloud migration tools (PricingTheCloud), edge computing architectures (HolonCraft), and self-aware system development. His work bridges theoretical foundations with practical applications in smart home automation and industrial IoT. Labs/Teams: Active member of LIRA's environmental and extreme environment groups, focusing on resilient distributed systems in challenging conditions.

Philip Jacksonمشاهده پروفایل

استاد

• Machine Audition
• Audio-Visual Machine Learning
• Spatial Audio
• +۹ مورد دیگر

Philip Jackson is a Professor in Machine Audition at the University of Surrey's Centre for Vision, Speech and Signal Processing (CVSSP) within the School of Computer Science and Electronic Engineering. His research focuses on audio-visual machine learning, spatial audio technologies, object-based media production, and responsible AI applications. He has over 200 publications and an h-index of 30, contributing to projects like Nephthys, BALTHASAR, and SAVEE. He served as an associate editor for Computer Speech and Language and reviewer for major journals like IEEE/ACM Transactions on Audio, Speech and Language Processing. Key research interests include sound localization, audio-visual tracking, reverberation modeling, and ethical implications of AI in media. His work spans datasets such as Tragic Talkers, SurrRoom, and ForecasterFlexOBM, advancing immersive audio-visual systems and personalized media experiences. Notable projects include spatial audio reproduction for VR, parametric room acoustics, and citizen council research on algorithmic transparency. He has advised over 20 PhD/Master’s students and collaborates with industry on applications like the Catalan Pavilion's Venice Biennale installation. His grants include UK postdoctoral fellowships and leadership in EU-funded initiatives like UDRC2 and QESTRAL.

Ali Adjorluمشاهده پروفایل

استادیار

• Virtual Reality (VR)
• Autism Spectrum Disorder (ASD)
• Educational Technology
• +۴ مورد دیگر

Ali Adjorlu is an Assistant Professor at Aalborg University's Department of Architecture, Design and Media Technology. His research focuses on innovative applications of Virtual Reality (VR) to support marginalized populations, particularly children with Autism Spectrum Disorder (ASD), hearing impairments, and social anxiety. He leads the Multisensory Experience Laboratory and collaborates on interdisciplinary projects such as the GAMESS initiative, which develops game-based learning tools for social skills training in ASD education. His work bridges technology, education, and healthcare, emphasizing accessibility and user-centric design. Key collaborations include: Co-supervision of the Haptic Feedback for Hearing Impaired PhD project (2022–2025) Leadership in the GAMESS project (2022–2024), addressing ASD social skills through gamified VR Partnerships with Cirkus Summarum and Danish National Children’s Choir for inclusive VR applications Research interests include: VR interventions for ASD life skill training (e.g., public transportation, communication) Music therapy in immersive environments Hearing conservation and auditory training for cochlear implant users Accessibility frameworks for neurodiverse and disabled populations His publications highlight VR's potential in education, healthcare, and social inclusion, with notable contributions to conferences like IEEE VR and SMC. He actively engages with public media to disseminate research outcomes, appearing in articles about VR therapy for autism and hearing impairment interventions. Adjorlu’s work also explores: VR-based empathy training for parents of hearing-impaired children Collaborative music interfaces for ALS patients Remote UX evaluation methodologies for assistive technologies His research has led to practical tools like Earnormous (a hearing health VR game) and DecibelDefender (concert safety training), demonstrating real-world impact. He emphasizes iterative design processes involving end-users to ensure interventions are both effective and accessible.

Siraj Shaikhمشاهده پروفایل

استاد

• Cybersecurity
• Systems Engineering
• Cyber-Physical Systems
• +۲ مورد دیگر

Professor Siraj Shaikh is a Professor in Systems Security at Swansea University (UK) with joint appointment as Visiting Professor at Nebrija University (Spain). His research specializes in cybersecurity for automotive and transport systems, focusing on cyber-physical systems security. He co-founded CyberOwl, a maritime security analytics company. His research explores the intersection of cybersecurity, systems engineering and computer science, particularly addressing security challenges in connected vehicles and transportation infrastructure. Current work examines threat modeling, risk assessment frameworks, and security validation methods for automotive systems. Professor Shaikh's publications demonstrate consistent focus on automotive cybersecurity, evolving from fundamental security frameworks to specialized applications in vehicular networks and hardware security. Recent work shows increased emphasis on practical implementations and supply chain security. Honors include: Royal Academy of Engineering Industry Fellowship (hosted at HORIBA MIRA) His research has been funded by EPSRC, ESRC, Lloyds Register Foundation, DSTL, British Council and Royal Academy of Engineering. He has authored the book Formal Methods for Software Engineering (Springer, 2022) and leads the Systems Security research group.

Mohammad Naser Sabet Jahromiمشاهده پروفایل

استادیار

• Explainable Artificial Intelligence
• Biometrics
• Machine Learning
• +۴ مورد دیگر

Mohammad Naser Sabet Jahromi is an Assistant Professor at the Department of Architecture, Design and Media Technology, Aalborg University, Denmark. He is affiliated with the Visual Analysis and Perception Centre for AI Ethics, Law and Policy. His research focuses on explainable AI (XAI), biometrics, machine learning, and ethical AI applications in legal and medical domains. He actively participates in interdisciplinary projects like REPAI: Responsible AI for Value Creation (2023-2027), which explores AI ethics, computational discourse analysis, and value-driven AI systems. His educational background is not explicitly detailed in the provided text, but his research trajectory indicates strong expertise in computer science and AI systems. Key research interests include interpretable machine learning models, privacy-preserving biometric systems, and AI applications in asylum adjudication and educational assessment. Recent work emphasizes developing XAI frameworks like SIDU-TXT for NLP, verifying machine unlearning mechanisms, and automating large-classroom assessments. His projects bridge technical AI advancements with societal implications through collaborations with legal and ethical scholars. Notable contributions include datasets evaluating XAI methods in medicine and methodologies for transparent AI decision-making. He has participated in conferences such as ICPR 2024 and JURISIN 2023, showcasing interdisciplinary research impact.

Dana Porterمشاهده پروفایل

استاد

• Agricultural Water Management
• Agricultural Irrigation
• Salinity Management
• +۳ مورد دیگر

Dana Porter is a Professor, Extension Program Leader, and Associate Department Head at Texas A&M University, affiliated with the College of Agriculture & Life Sciences and the College of Engineering. She holds a B.S. (1987), M.S. (1989) in Agricultural Engineering from Texas A&M, and a Ph.D. in Agricultural and Biological Engineering from Mississippi State University (1993). Her research focuses on sustainable agricultural water management, including irrigation optimization, salinity control, and precision agriculture technologies. She leads efforts to integrate sensor networks, machine learning, and climate models to enhance water efficiency and crop productivity in arid regions like the Texas High Plains. Her work emphasizes bridging scientific advancements with practical agricultural practices through extension programs and technology transfer initiatives. Key contributions include improving SWAT model applications for watershed management, developing irrigation scheduling tools, and exploring genotype-based adaptation strategies for climate resilience. She collaborates with interdisciplinary teams to address challenges in water governance, land-use change impacts, and big data integration in agriculture. Porter’s outreach efforts focus on educating stakeholders on sustainable practices, including water conservation, sensor-based irrigation, and subsurface drip irrigation systems. Her leadership in Texas A&M AgriLife Extension ensures research findings translate into actionable solutions for farmers and policymakers.

Patricia Wolfمشاهده پروفایل

استاد

• Innovation Management
• Foresight and Future Studies
• Artificial Intelligence in Society
• +۷ مورد دیگر

Patricia Wolf is a Professor in the Department of Business & Management at the University of Southern Denmark (SDU), Faculty of Business and Social Sciences. She is affiliated with multiple interdisciplinary research centers, including the Centre for Integrative Innovation Management (C*I2M), the SDU SCC Elite Center PACA, and the SDU Climate Cluster, reflecting her broad impact across innovation, climate futures, and societal transformation. Her research focuses on innovation management, foresight methodologies, artificial intelligence in social contexts, knowledge management, and climate futures. She explores how organizations and societies can envision and enact sustainable futures, particularly through participatory and creative methods such as scenario development, flash fiction, and citizen science. The 15 most recent publications reveal a strong trend toward integrating AI, climate imagination, and participatory futures, with increasing emphasis on emotional dimensions like climate anxiety and hopeful envisioning. Her work bridges theory and practice, often involving collaborations with SMEs, educational institutions, and environmental organizations to co-create actionable strategies. Innovative Teaching Award 2024 John Bessant Best Paper Award (2023 and 2021) SCC Fast track - uddelingsrunde november 2024 Patricia Wolf has secured significant grant funding for projects such as FUSION, PACA, and CFF, where she serves as Principal Investigator or Co-PI. These projects focus on mobilizing youth, educators, and communities to engage in climate future fiction and responsible innovation. She has supervised PhD students and contributed to curriculum development in innovation and foresight education. Her teaching includes courses on innovation management, knowledge management, and organizational processes. She leads and participates in interdisciplinary teams across SDU, including collaborations with the Department of Sports Science, the Climate Cluster, and external partners in Denmark and Germany. Her labs and research groups emphasize co-creation, narrative methods, and future-oriented design, fostering a culture of integrative and socially responsible innovation.

• Sustainability
• Energy Policy
• Indonesia Energy Systems
• +۵ مورد دیگر

J.N. Quist is a Professor in the Department of Energy and Industry at TU Delft's School of Technology, Policy and Management. His research focuses on sustainability transitions, energy policy, and participatory methods like backcasting. He has published over 128 peer-reviewed articles and led projects in Indonesia, the Netherlands, and globally. Research Interests - Socio-technical transitions in energy systems - Circular economy governance - Climate adaptation strategies - Renewable energy economics - Gamification for sustainability planning Recent Work Recent publications analyze hydrogen transitions in the Netherlands, power dynamics in circular economies, and Indonesia's renewable energy potential. His methods emphasize participatory approaches and multi-system analysis. Awards - Best Poster Award (2023) - Runner-Up Best Poster Award (2022) Grants & Activities - Editorial roles for journals like Journal of Cleaner Production - Collaboration with international researchers across 3 continents - Supervised 1 doctoral project Key Projects - GIS-based renewable energy potential assessments in Indonesia - Backcasting methodology development (GAMEBACK framework) - Circular economy transition studies in business parks