جست‌وجوی استاد و پژوهشگر

Nuala Floodمشاهده پروفایل

مدرس ارشد

• Urban Design
• Climate Change Adaptation
• Participatory Design
• +۴ مورد دیگر

Nuala Flood is a Senior Lecturer in the Sustainable Built Environment department at Queen’s University Belfast, combining architectural practice with pedagogical innovation. Her work focuses on participatory design methods, climate change adaptation, and urban regeneration. She leads the award-winning Public CoLab initiative, a week-long workshop fostering collaboration between students and communities to address spatial challenges in Northern Ireland. Key areas of expertise include ecotopian design fictions, temporary urban interventions, and codesign for climate resilience. Flood has pioneered climate literacy programs within her institution, integrating sustainability into architectural education curricula. She actively engages in interdisciplinary projects like the Future Island-Island initiative exploring coastal adaptation. Notable achievements include the 2022 Fulbright/Environmental Protection Agency Scholarship and multiple teaching awards. Research interests span urban interventionist practices, architectural pedagogy, and place-based climate solutions. Her publications address topics ranging from extreme heat risks in sports infrastructure to seaweed-based urban symbiosis. Flood has presented at global events such as the Reach’24 Arts & Sustainability Festival and contributed to media discussions on Belfast’s water quality and flood resilience. She supervises PhD research in codesign methodologies and participatory urbanism, reflecting her commitment to bridging academic inquiry with community-driven action. Education: Architectural practice background with ARB registration Grants: Co-investigator on the Future Island-Island project (2024–present) Labs/Teams: Public CoLab, Sustainable Built Environment research group Future Work: Scaling climate adaptation pedagogy, exploring bio-based materials

Juan Felipe Carrasquilla Álvarezمشاهده پروفایل

استادیار

• Condensed Matter Physics
• Quantum Computing
• Machine Learning
• +۳ مورد دیگر

Juan Felipe Carrasquilla Álvarez is an Assistant Professor in the Department of Physics at the University of Toronto. His research focuses on the intersection of condensed matter physics, quantum computing, and machine learning, emphasizing quantum many-body systems, quantum device validation, and phase identification. He holds affiliations with the Acceleration Consortium and the Centre for Quantum Information and Quantum Control at the University of Toronto, and is a Perimeter Institute Visiting Fellow. Education: PhD in Physics from SISSA (Italy), followed by postdoctoral fellowships at Georgetown University (2011-2013), the Perimeter Institute (2013-2016), and a stint as a Research Scientist at D-Wave Systems Inc. Earlier, he completed the Abdus Salam ICTP Diploma Programme (2005-2006). Research interests span quantum Monte Carlo simulations, machine learning-driven analysis of quantum systems, and applications to quantum computing validation. His work bridges theoretical physics with computational methods, addressing challenges in both classical and quantum computing paradigms. Notable contributions include developing neural network architectures for quantum state reconstruction, error mitigation in quantum simulations, and optimal control strategies for quantum thermal machines. His publications explore topics like topological order detection, shadow tomography, and hybrid quantum-classical algorithms. Awards/Fellowships: Perimeter Institute Postdoctoral Fellowship (2013-2016), Georgetown University Postdoctoral Fellowship (2011-2013), SISSA PhD Fellowship (2006-2010), and Abdus Salam ICTP Diploma Programme Fellowship (2005-2006). Advising/Grants: No formal advisee list provided. Active in interdisciplinary collaborations through affiliations with major quantum research consortia and institutions. Lab/Teams: Part of the Acceleration Consortium and the Centre for Quantum Information and Quantum Control, contributing to cutting-edge quantum computing and machine learning research.

• Occupational Health
• Work Engagement
• Health Promotion
• +۷ مورد دیگر

Marit Christensen is a Professor of Work and Organizational Psychology at the Norwegian University of Science and Technology (NTNU), Department of Psychology. She is affiliated with the Centre for Health Promotion Research and has led several Nordic and EU-funded projects, including the H2020 project 'H-work' focusing on mental health interventions in SMEs and public workplaces. Her research focuses on occupational health, work engagement, organizational interventions, and psychosocial working environment tools like the ARK program. She holds a doctoral degree from NTNU (2012) on work demands/resources and health. Key projects include developing the ARK program for university psychosocial environment mapping, leading the H2020 H-work initiative, and cross-cultural studies on healthy workplaces with UC Berkeley and the University of Sheffield. She collaborates with international institutions like the University of Tampere and Han University of Applied Sciences. Her research emphasizes mental health promotion, leadership impact, and work-life balance, particularly during crises like the pandemic. She has authored over 50 peer-reviewed articles and book chapters, focusing on burnout assessment (BAT tool), multilevel interventions, and workplace adaptation strategies. Her work addresses organizational challenges in healthcare sectors, academic environments, and SMEs, advocating for participatory health promotion strategies and evidence-based practices. She has contributed to policy recommendations for sustainable workplace interventions.

• Machine Learning
• Bioinformatics
• Medical Imaging
• +۵ مورد دیگر

Paul J. Kennedy is a Professor at the University of Technology Sydney's Centre for Artificial Intelligence. He holds a PhD from the same institution (1999). His research focuses on machine learning applications in healthcare, bioinformatics, medical imaging, and data mining. Key areas include developing algorithms for genomic data analysis, healthcare pathway modeling, and edge-cloud frameworks for omics data. Education: PhD in Artificial Intelligence (1999, UTS). Research interests span machine learning, health informatics, and data compression. Notable work includes studies on administrative health records, lung nodule detection, and virtual reality-based cancer cohort analysis. He has co-authored over 100 publications across journals like BMC Bioinformatics, IEEE Transactions, and Artificial Intelligence in Medicine. Advising: Collaborates extensively with students/researchers but no explicit student list provided. Grants and labs: Active in interdisciplinary projects involving medical and computational teams, though specific grants are not detailed here.

Hojjat Adeliمشاهده پروفایل

استاد

• Structural engineering
• Computational neuroscience
• Civil engineering
• +۷ مورد دیگر

Hojjat Adeli is an Academy Professor at The Ohio State University (OSU) with courtesy appointments in the Departments of Neurology, Neuroscience, and Biomedical Informatics. He has held the Abba G. Lichtenstein Professorship in Infrastructure Engineering (2003-2013) and served as Editor-in-Chief of Computer-Aided Civil and Infrastructure Engineering for 25 years. Academy Professor, OSU (2018–present) Professor of Neurology, Neuroscience, and Biomedical Informatics (by courtesy, since 2015-2002) His research interests span interdisciplinary domains at the intersection of engineering and neuroscience, focusing on: Computational neuroscience and neurocomputing Biomedical signal processing (particularly EEG-based diagnostics) Machine learning and computational intelligence applications Smart infrastructure systems and structural engineering Optimization algorithms in civil and biomedical contexts His research trends demonstrate a synergy between: Neural network development for medical diagnostics Wavelet and chaos theory in epilepsy detection Computational intelligence for structural engineering Hybrid models integrating fuzzy logic and genetic algorithms Scientific awards and honors include: Multiple IEEE Fellowships and AAAS Fellow Thomson Reuters Highly Cited Researcher in Engineering and Computer Science Hojjat Adeli Awards for Neural Systems and Innovation in Computing Elections to international academies in Poland, Lithuania, and Spain Scott Award for Engineering Education and Distinguished Member ASCE

Abbas Edalatمشاهده پروفایل

استاد

• Computer Science
• Mathematics
• Exact Computation
• +۷ مورد دیگر

Abbas Edalat is a Professor of Computer Science and Mathematics at Imperial College London, and an Adjunct Professor at the Institute for Research in Fundamental Sciences, Tehran. He leads two research groups: Algorithmic Human Development and Continuous Data-Types and Exact Computation. His work spans computational mathematics, psychotherapy models, and exact real-number computation. Notably, he received the LICS 2017 Test-of-Time Award for foundational contributions to logic in computer science. Research interests include self-attachment psychotherapy, computational differential calculus, topology, and bisimulation in probabilistic systems. He has pioneered exact computation frameworks for real numbers, geometry, and dynamical systems, with applications in neuroscience and artificial intelligence. Professional activities include keynote talks at conferences like IJCNN and workshops on psychotherapy in Iran and the UK. Teaching includes advanced courses on dynamical systems, quantum computing, and computational techniques. He advises PhD students globally and chairs initiatives like the Science and Arts Foundation to expand educational access in developing nations. His interdisciplinary work bridges mathematics, computer science, and clinical psychology.

• Human-Computer Interaction
• Computer-Supported Cooperative Work (CSCW)
• Cultural Heritage Technologies
• +۵ مورد دیگر

Luigina Ciolfi is a Professor of Human Computer Interaction in the School of Applied Psychology at University College Cork (UCC), Ireland. She is a Co-Principal Investigator at Lero, the Science Foundation Ireland Research Centre for Software. Her academic journey includes roles at Sheffield Hallam University, University of Limerick, and visiting positions at Maynooth University and University of Rome Tor Vergata. She holds a Laurea (summa cum laude) from the University of Siena and a PhD from the University of Limerick, both in Human-Computer Interaction. Her research focuses on human experiences with digital technologies in collaborative contexts, particularly in cultural heritage and work practices. She contributes to fields like CSCW, participatory design, and qualitative methodologies. Ciolfi has led over €8M in research grants, authored/co-authored numerous books and journal articles, and served on editorial boards and international committees. She is a Senior Member of the ACM and an ACM Distinguished Speaker (2021-2024). Her current roles include Vice-Head of the School of Applied Psychology and Chair of UCC's Academic Council Research and Innovation Committee. She leads the Digital Cultures, New Media, and Cultural Analytics research cluster under the Future Humanities Institute. Ciolfi’s work emphasizes ethical and inclusive technology design, with projects addressing cultural heritage, nomadic work practices, and digital wellbeing.

Donat Fähمشاهده پروفایل

استاد

• Seismology
• Geophysics
• Earthquake Engineering
• +۷ مورد دیگر

Prof. Donat Fäh is a faculty member at ETH Zurich's Institute of Geophysics, part of the Swiss Seismological Service (SED). His work focuses on advancing seismic hazard assessment and site response modeling in Switzerland and beyond. He leads interdisciplinary projects integrating geophysical surveys, machine learning, and empirical data to refine risk models for urban areas like Basel and Lucerne. Key contributions include developing the ERM-CH23 national earthquake risk framework and improving methodologies for nonlinear soil behavior analysis using KiK-net data from Japan. His research emphasizes high-resolution amplification mapping, subsurface characterization via ambient vibrations, and understanding glacial and subaqueous slope dynamics. Research interests span seismic site effects, soil mechanics, landslide stability monitoring, and the application of advanced geophysical inversion techniques. He collaborates internationally to enhance earthquake risk communication and building code compliance, particularly in low seismicity regions. Current efforts include refining 3D geophysical models for urban settings and exploring Bayesian methods for subsurface structure identification. His work bridges fundamental geophysical research with practical engineering solutions for infrastructure resilience. Advising and grants: No formal advisees or grant details are explicitly listed in the provided texts. His collaborative projects, however, suggest involvement in large-scale initiatives such as URBASIS and the Swiss strong-motion network modernization. Labs and teams: Prof. Fäh is affiliated with the Swiss Seismological Service (SED) and actively contributes to ETH Zurich’s seismic monitoring infrastructure. His team collaborates with institutions in Japan (KiK-net network) and applies cutting-edge geophysical techniques to study subglacial environments and lakebed geotechnics.

David Dowlingمشاهده پروفایل

استاد

• Digital Journalism
• Podcasting
• Narrative Journalism
• +۵ مورد دیگر

David Dowling is a Professor at the University of Iowa’s School of Journalism and Mass Communication, part of the College of Liberal Arts and Sciences. He holds the role of Executive Editor of the Journal of Communication Inquiry since August 2024. With a Ph.D. from the University of Colorado (1995), his research focuses on digital media, podcasting, narrative journalism, and the evolution of media industries. His work explores topics like immersive storytelling, audio journalism, and the cultural impact of digital publishing. Dowling is the author or editor of 12 books, including Podcast Journalism: The Promise and Perils of Audio Reporting (2024) and A Delicate Aggression: Savagery and Survival in the Iowa Writers’ Workshop (2019). His research has been featured in outlets like The New Yorker and London School of Economics Newsroom Report . His research interests span digital longform journalism, podcasting’s role in news dissemination, and the intersection of media with social activism. He has received multiple accolades, including the 2019 and 2020 Best Article Awards in Journal of Radio & Audio Media for groundbreaking studies on immersive audio storytelling and podcast-driven cultural narratives. Dowling teaches courses in journalism studies, digital gaming culture, and qualitative research methods, fostering the next generation of media scholars and practitioners. His recent work emphasizes participatory journalism, environmental literary journalism, and the co-evolution of journalism with public relations in branded content. His articles analyze topics ranging from transnational crime reporting in podcasts to the activism embedded in digital storytelling formats like immersive documentaries and gamified news platforms.

• Work Organization
• Labor Flexibility
• Social Innovation
• +۱۲ مورد دیگر

Jan de Leede is an Assistant Professor in the Department of Industrial Engineering & Business Information Systems at the University of Twente. His research focuses on labor flexibility, hybrid work, team-based organization, social innovation, and innovative work behavior. He has published extensively since 1993, with recent work addressing contemporary work challenges such as reduced working hours, employee well-being, and organizational resilience. His research interests center on transforming traditional work models through innovation and flexibility. Key areas include hybrid working , employee engagement , innovation energy , and work-time reduction . He applies case study methodologies to explore real-world implementations in universities and healthcare, emphasizing the role of HRM and team dynamics. The analysis of his recent publications reveals a strong trend toward applied social sciences in organizational contexts. His work bridges industrial engineering with human-centric design, focusing on employee well-being , innovative behavior , and adaptive work systems . Themes like 6-hour workdays , mental load , and flexible workforce management dominate his recent output, reflecting societal shifts in work culture. He has received the Liberty Mutual Best Paper Award in 2011, recognizing impactful research in occupational safety and health. Other honors include media recognition and invited talks at national and international forums. Jan de Leede actively contributes to academic and public discourse through invited talks, conference participation, and media commentary. His external role as Partner at ModernWorkx (2008–2023) demonstrates applied engagement in shaping modern work practices. He has supervised research and contributed to policy-oriented reports, particularly on risk management and well-being in higher education and SMEs. His work is closely linked to practical implementation, often involving collaboration with universities of applied sciences and public organizations. Research projects emphasize team cohesion, operational HRM, and systemic innovation, forming a network of applied social innovation in Dutch and European contexts.

Gökhan Alcanمشاهده پروفایل

استادیار

• Robotics
• Machine Learning
• Control Theory
• +۵ مورد دیگر

Gökhan Alcan is an Assistant Professor in Robotics and Machine Learning at the Automation Technology and Mechanical Engineering Unit of Tampere University, Finland. He leads the Advanced Learning, Control and AutomatioN (ALCAN) Research Group, focusing on safe model predictive control, constrained optimal control theory, reinforcement learning, and their applications to dynamical systems. His research addresses challenges in robotic manipulation, safe navigation, and human-robot collaboration through projects like the Aurora initiative on automated and connected machines. Education: B.Sc., M.Sc., and Ph.D. in Mechatronics Engineering from Sabanci University (2008–2019). Postdoctoral research at Sabanci University (2019) and Aalto University (2020–2024). Research Interests: Robotics, control theory, system identification, autonomous systems, and machine learning applied to robotic manipulation, autonomous vehicles, and safety-critical systems. Notable work includes trajectory optimization for hybrid systems, magnetic manipulation for medical applications, and sim-to-real gap analysis in cloth manipulation. Awards: Third Place in Aalto Open Science Award 2023, Elginkan Foundation Technology Award (2016), and multiple scholarships. Advised Ph.D. student David Blanco Mulero, who defended his thesis on robotic manipulation of deformable objects. Labs/Teams: ALCAN Research Group, former roles in Aalto University's Intelligent Robotics Group and Sabanci University's Control, Vision, and Robotics (CVR) Group.

Hamed Badihiمشاهده پروفایل

استادیار

• Condition Monitoring
• Fault-Tolerant Control
• Attack-Resilient Control
• +۳ مورد دیگر

Hamed Badihi is an Assistant Professor in Automation Technology and Dependable Systems at Tampere University , part of the Faculty of Engineering and Natural Sciences. He leads the Dependability and Automation Research in Cyber-Physical Systems (DARES) Group within the Dependable Systems Cyber Laboratories . His research focuses on critical aspects of condition monitoring, fault-tolerant control, and attack-resilient control to advance sustainable, dependable cyber-physical systems. Research Interests include: Cybersecurity for industrial control systems Fault-tolerant control mechanisms Resilient control strategies for renewable energy systems Condition monitoring of wind turbines and microgrids Recent Contributions emphasize hybrid approaches combining machine learning and control theory for cyber-attack detection and system resilience in wind farms and microgrids. His work addresses challenges like real-time fault diagnosis and adaptive control under adversarial or environmental perturbations. Awards & Roles : Senior Member of IEEE, editor for International Transactions on Electrical Energy Systems , Advances in Fuzzy Systems , and Processes journals. Active in EU projects like StreamSTEP . Labs & Teams : Directs the DARES Group, collaborating on initiatives like the Dependable Systems Cyber Laboratories to pioneer innovations in cyber-physical system dependability.

Efstathia Buraمشاهده پروفایل

استاد

• Dimension Reduction in Regression
• High-Dimensional Statistics
• Multivariate Analysis
• +۵ مورد دیگر

Efstathia Bura is a Professor heading the Applied Statistics Research Unit (ASTAT) within the Institute of Statistics and Mathematical Methods in Economics at TU Wien's Faculty of Mathematics and Geoinformation. Her research focuses on dimension reduction techniques in regression and classification, high-dimensional statistics, and their applications in biostatistics, econometrics, and legal statistics. She leads projects like ProbInG (WWTF-funded) and the SecInt Doctoral College on statistical verification of cyber-physical systems. Her work integrates advanced statistical methodologies with interdisciplinary applications, emphasizing practical solutions for complex data challenges. Current projects explore probabilistic program analysis, security properties in cyber-physical systems, and dynamic econometric modeling. She collaborates internationally, with notable contributions to statistical theory and applications in law, healthcare, and telecommunications. Key research themes include time-varying regression models, sufficient dimension reduction for mixed predictors, and fusion of statistical methods with machine learning. Her publications bridge theoretical advancements and real-world problem-solving, reflecting her role as a leading academic in modern applied statistics. Her team includes postdocs and assistants working on WWTF and SecInt grants, focusing on probabilistic systems and statistical verification. While no formal student advisees are listed, her collaborative projects engage junior researchers in cutting-edge statistical research.

Moray Newlandsمشاهده پروفایل

استاد

• Low Carbon Concrete
• Sustainability
• Recycling of Materials
• +۵ مورد دیگر

Dr. Moray Newlands is a Reader in Civil Engineering and Associate Dean for Enterprise and Economic Transformation at the University of Dundee's School of Science and Engineering. He holds a PhD in Concrete Technology from the same institution. His research focuses on low-carbon concrete, sustainable materials, and renewable energy infrastructure, with an emphasis on reducing construction costs through innovative methods like additive manufacturing. He leads European standardization efforts for concrete durability testing and organizes the Dundee Concrete Conference. Newlands has secured funding from UK Research Councils, Innovate UK, and industry partners, contributing to over 65 publications and two key awards. Education: Doctor of Philosophy (2001), University of Dundee Master of Science (1996), University of Dundee Bachelor of Engineering (1996), University of Dundee Research Interests: Concrete sustainability, recycled materials, durability assessment methods, marine energy systems, and infrastructure benchmarking. His work aligns with UN SDGs on climate action and affordable clean energy. Awards: Magazine of Concrete Research Paper of the Year (2012) Scottish Knowledge Exchange Award (2018) Enterprise & Grants: Leads KTP projects on construction innovation and offshore wind infrastructure. Oversees industry partnerships through the School’s Enterprise & Economic Transformation strategy. Labs & Networks: Conducts research in the Concrete Technology Unit, collaborates with European standards committees (CEN TC51), and chairs international conferences. Active in Horizon Europe-funded low-carbon initiatives.

• Sustainable Development
• Low-Carbon Technologies
• Energy and Building Technology
• +۱۳ مورد دیگر

Dr. Behrang Vand Alimohammadisagvand is a Lecturer at the School of Computing, Engineering and the Built Environment, Edinburgh Napier University. His research focuses on sustainable energy systems, building performance, and smart energy management, with strong international collaboration across Iran, China, Finland, and the UK. B.Sc. and M.Sc. in Mechanical and Energy Engineering Ph.D. in Energy and Building Technology His research interests include sustainable development, low-carbon technologies, energy policy, thermal comfort in buildings, and energy management systems at multiple scales. He actively investigates model predictive control (MPC), demand response, energy sharing in communities, and low-temperature heating networks. His work bridges theoretical modeling and practical implementation in real-world buildings. Dr. Vand's recent publications highlight trends in integrated energy management , smart grid optimization , and decarbonization of building heating systems . His articles emphasize mathematical modeling, simulation, and control strategies to improve energy efficiency and reduce carbon emissions in the built environment. He supervises doctoral students working on smart IoT systems and low-temperature heat networks. His research is supported by funders such as the Academy of Finland and Energy Technology Partnership. Active supervisor for PhD project on smart IoT systems with real-time deep learning (since 2022) Director of Studies for PhD on heating Scottish public buildings with low-temperature networks (2018–2024) He is affiliated with the Institute for Sustainable Construction and contributes to the research theme Culture and Communities . His work aligns with global efforts toward net-zero emissions and sustainable urban development.