جست‌وجوی استاد و پژوهشگر

Christophe Viavatteneمشاهده پروفایل

دانشیار

• Flood Risk Management
• Water and Environmental Sustainability
• Geographic Information Systems (GIS)
• +۴ مورد دیگر

Christophe Viavattene is an Associate Professor of Environmental Sustainability at Middlesex University , specializing in flood risk management and urban resilience. He has spent 17 years at the Flood Hazard Research Centre , leading interdisciplinary research across economic and physical sciences in water and flood risk. Research Focus: Flood vulnerability (coastal, urban, fluvial), GIS tools (INDRA model), Multi-Coloured Manual (MCM) methodology, mental health impacts of flooding, groundwater flood risk in arid regions, and air quality risk assessment. Teaching: Programme Leader for the MSc Sustainability and Environmental Management , teaching problem-based sustainability, GIS, and environmental monitoring. Key Collaborations: EU FP7 RISC-KIT, EU CONHAZ, Environment Agency UK projects. Recent Publications: Bayesian flood models, coastal hotspots analysis, and groundwater flood damage methodologies. His work bridges academic research with practical applications, including flood storage compensation frameworks and vulnerability indicator libraries.

• Climate Policy
• Long-Term Policy
• International Institutions
• +۳ مورد دیگر

Detlef F. Sprinz is a Senior Scientist at the Potsdam Institute for Climate Impact Research (PIK) and a Professor at the Faculty of Economics and Social Sciences of the University of Potsdam, Germany. During 2024-2025, he leads the project "AMaReNa - A Market for the Restoration of Nature" , focusing on carbon removals. His academic background includes a Ph.D. and M.A. in Political Science from the University of Michigan and an M.A. in Economics from the University of the Saarland. Research Interests: Climate policy at multiple levels, long-term policy design, evaluation of international/national institutions, European/international environmental policy, and modeling political decisions for sustainability. Notable Projects: Tandem Fellowship (2020-2022) for interdisciplinary course development, Visiting Researcher at University of Lund (2022-2023), and coordination of research at the Käte Hamburger Kolleg (2017). Publications emphasize climate cooperation under the Paris Agreement, effectiveness of environmental regimes, and predictive modeling for climate negotiations. His work spans empirical analyses of acid rain regulation, Kyoto Protocol implementation challenges, and bioenergy accounting errors. Scientific Awards & Memberships: Tandem Fellowship (German Stifterverband) Member, European Academy Co-founder, Ecologic Institute Teaching includes courses on global climate governance, political decision modeling, and environmental policy at the University of Michigan, Yale, University of Oslo, and University of Potsdam. He has contributed to IPCC’s Sixth Assessment Report as a Lead Author. Advisory Roles: Chairmanship of the European Environment Agency’s Scientific Committee (2009-2012), Senior Research Fellow at CICERO (2011-2013), and consultancy for governments, corporations, and think tanks.

• Software Engineering
• Deep Learning
• Human-Computer Interaction
• +۷ مورد دیگر

Prof. Dr. Chunyang Chen is a full professor in the Department of Computer Science at the Technical University of Munich (TUM) in Heilbronn, Germany, and an adjunct professor at Monash University, Australia. He is a core member of the Munich Data Science Institute, board member of Heilbronn Data Science Center, and fellow at Fortiss. His research spans Software Engineering, Deep Learning, and Human-Computer Interaction (HCI), focusing on AI/ML, NLP, and program analysis applications. PhD from Nanyang Technological University (NTU), Singapore His research explores three primary domains: AI-Driven Mobile App Development : Focused on requirement elicitation, UI design, code generation, and GUI testing using LLMs, NLP, and lightweight program analysis. Software Repository Mining : Involves library/API migration, collaborative editing, query reformulation, and thesaurus construction. Deep Learning Security : Examines robustness and security in mobile apps, including on-device model attacks, backdoor attacks, phishing attacks, and defense mechanisms. His recent publications highlight trends in LLM applications for software testing, bug replay, accessibility, and dataset construction. Awards include Best Paper Honorable Mention at CHI 2024, DECRA, ACM SIGSOFT Early Career Award, multiple Distinguished Paper Awards, and the Chinese Government Award for Outstanding Self-financed Students Abroad. PhD students: Shengcheng Yu, Yanqi Su, Mark Huasong Meng, Wenchao Gu, Zhen Tao, Kai Huang, Sidong Feng, Yujin Huang, Jian Gu Master/Bachelor students: Dustin Minh Duc Vu, Jason Siu, Ruiqi Dong, Minh Nguyen, An-Chieh Chang, Chao Wu, Yujin Huang, Ishan Joshi, Xinyan Li Chunyang Chen has supervised numerous students across institutions including TUM, Monash University, Chinese Academy of Sciences, ANU, and others. His teaching portfolio includes courses on Generative AI, software engineering, and programming foundations. He actively contributes to academic service as a guest editor, program committee member, and reviewer for top-tier conferences and journals.

• Medical Image Understanding
• Radiology Report Generation
• Deep Learning
• +۳ مورد دیگر

Chantal Pellegrini is a Lecturer and PhD student at the Chair of Computer Aided Medical Procedures (Prof. Navab) at Technical University of Munich (TUM). Her research focuses on Deep Learning applications in medical imaging, including explainable AI for radiology report generation and Vision-Language Models for clinical decision support. She actively contributes to the DHM, NARVIS Lab, and RobUSt research groups. Teaching responsibilities include courses such as 'Computer Aided Medical Procedures', 'Medical Augmented Reality', and 'Surgical Robotics'. She supervises student projects in medical AI and healthcare innovation, with recent projects involving multimodal report generation and graph pretraining for medical applications. Education: BSc/MSc Computer Science (TUM), current PhD student since 2022 Labs: DHM (German Heart Center), NARVIS Lab, RobUSt Robotics & Ultrasound Research Keywords: Medical Image Understanding, Radiology Reports, LLMs in Healthcare Her publications span surgical OR dataset development, reinforcement learning for clinical decisions, and explainable X-ray diagnosis systems. She mentors MA/BA students in medical AI and project management for healthcare applications.

Merry Maniمشاهده پروفایل

دانشیار

• Biomedical Imaging
• Signal Processing
• Image Reconstruction
• +۴ مورد دیگر

Dr. Merry Mani is an Associate Professor in Radiology and Imaging Sciences and Biomedical Engineering, specializing in biomedical imaging and signal processing. Her work focuses on advancing MRI-based imaging technologies to study neurological disorders such as Alzheimer's, Autism, and Epilepsy. She holds a Ph.D. in Electrical and Computer Engineering from the University of Rochester (2014) and completed a postdoctoral fellowship at the University of Iowa School of Medicine (2018). Her research combines biophysical modeling with machine learning to explore brain microstructures. Key achievements include the NNARSAD Young Investigator Grant and NIH-funded projects like 'Fast Multi-dimensional Diffusion MRI with Sparse Sampling'. Her lab develops cutting-edge reconstruction methods like qModeL and MUSSELS, prioritizing high spatio-temporal resolution imaging. Major contributions span diffusion MRI acquisition, model-based deep learning, and clinical applications in neurodegenerative diseases. Notable grants include NIH R01EB031169 for Alzheimer’s neurodegeneration studies and projects on rTMS for depression. Her work bridges imaging innovation with clinical impact, aiming to improve diagnosis and treatment through advanced imaging biomarkers.

Anna Bagnoliمشاهده پروفایل

مربی

• Methodological Innovation in Social Sciences
• Qualitative Research Methods
• Creative Methods
• +۷ مورد دیگر

Dr. Anna Bagnoli is a Tutor and Director of Studies for Human Social and Political Sciences (HSPS) at Wolfson College, University of Cambridge. She is affiliated with the Department of Sociology and contributes to methodological training in qualitative and visual research methods. Her research bridges social sciences and arts, focusing on identity processes, migration, and gender. Alma Mater: PhD from University of Cambridge (2001) Research: Methodological innovation, narrative analysis, migration of Southern Europeans Her methodological expertise includes creative arts-based methods , visual research , and autobiographical narratives . She has led projects like Picturing Identities and Wolfson’s Worlds , exploring migration, belonging, and cultural capital reconstruction. Anna’s recent publications emphasize gendered migration experiences , arts-based research , and identity construction through visual methods . Key topics include the interplay of migration with science career aspirations, narrative ethics, and longitudinal youth studies. Scientific Awards EC Marie Curie TMR Fellowship (1998-2000) ESRC Postdoctoral Fellowship (2002-2003) Nuffield Foundation Grant (2010) She supervises doctoral students in migration, gender, and narrative research, with a focus on participatory and arts-driven approaches. Anna is also involved in the Cambridge Migration Research Network (Cammigres).

Sarah Pinkمشاهده پروفایل

استاد

• Design Anthropology
• Emerging Technologies
• Automated Decision Making
• +۵ مورد دیگر

Sarah Pink is a leading Professor at Monash University , holding a joint appointment across the Faculty of Art, Design and Architecture and the Faculty of Information Technology . She serves as Director of the FUTURES Hub and Emerging Technologies Research Lab , focusing on human futures in digital and net zero transitions. PhD in Social Anthropology, University of Kent Honorary Doctorates from Malmö and Halmstad Universities Fellow, Academy of the Social Sciences in Australia Her research spans design anthropology, emerging technologies, automated decision making, and future mobilities . Recent work examines: AI ethics in clean energy Smart homes for seniors Automated mobility futures Selected 2025 article trends show focus on technological ethics, urban data systems, and human-machine interaction across 6 subfields including automated decision making and sensory design. Major awards: CIOB Award for Best International Paper (2016) Asia Pacific Eldercare Innovation Gold (2021) Good Design Awards (2023) As research director for Monash Grid Innovation Hub and Human-Centred Computing , she leads projects funded by Australian Research Council, EU, and national research councils across five countries. Her lab engages 20 active projects and 20+ industry partners globally.

G.K. Knopfمشاهده پروفایل

استاد

• Product Design & Advanced Manufacturing
• 3D Shape Reconstruction
• Laser Microfabrication
• +۵ مورد دیگر

Dr. G.K. Knopf is a Professor in the Department of Mechanical & Materials Engineering at Western University, Canada. He holds a Ph.D. (1991), M.Sc. (1987), and B.E. (1984) from the University of Saskatchewan. His work bridges product design, advanced manufacturing, and bio-inspired technologies. Research Focus: Dr. Knopf’s research spans 3D shape reconstruction , laser microfabrication , micro-optics , and bioelectronic imaging arrays . Recent projects emphasize light-driven actuators , flexible electronics , and graphene-based inks for printing circuits on unconventional substrates like silk and paper. Publications: Over 150 peer-reviewed works, including two edited CRC Press volumes ( Smart Biosensor Technology , Optical Nano and Micro Actuator Technology ). Key contributions involve non-lithographic fabrication , bacteriorhodopsin photodetectors , and self-organizing feature maps for data visualization. Awards/Patents: Co-inventor of two U.S. patents (6,542,249 for 3D surface measurement; 7,573,024 for bioelectronic imaging arrays). Teaching: Leads graduate courses in Medical Device Design and Optomechatronic Systems , as well as undergraduate Mechatronics and Medical Device Development courses.

Alec Wrightمشاهده پروفایل

پژوهشگر ارشد

• Audio Machine Learning
• Neural Networks
• Audio Signal Processing
• +۳ مورد دیگر

Alec Wright is a Chancellor’s Fellow in Audio Machine Learning at the University of Edinburgh, affiliated with the Edinburgh College of Art and the Music department. He focuses on applying machine learning to musical audio signal processing and synthesis, particularly through neural network-based audio effects modeling. Education: Doctor of Science (DSc) in Neural Modelling of Audio Effects, Aalto University (2023) Master of Science (MSc) in Acoustics and Music Technology, University of Edinburgh (2018) Master of Engineering (MEng) in Mechanical Engineering, University of Manchester (2014) His research explores neural network architectures for real-time audio processing, guitar amplifier emulation, and diffusion-based distortion restoration. Key methodologies include Recurrent Neural Networks (RNNs), neural ordinary differential equations, and synthetic data generation for foundation models. Recent publications highlight sample rate conversion techniques, interpolation filters, and nonlinear distortion modeling. These works span domains like signal processing, computational audio, and physical modeling synthesis. Scientific Awards: Chancellor’s Fellow, University of Edinburgh As an active researcher, he collaborates internationally and contributes to frameworks like Open-Amp for audio effect modeling. No formal student advising details are currently available.

Irem Dikmenمشاهده پروفایل

استاد

• Construction Project Risk Management
• Climate Risk and Resilience in Built Environment
• Digital Construction Technologies
• +۵ مورد دیگر

Professor Irem Dikmen is a leading academic in Construction Engineering and Management at the University of Reading, where she serves as School Director of Internationalisation in the Chancellor's Building. Her research integrates engineering, management, and information sciences to advance construction project risk management, particularly focusing on climate resilience, digital technologies, and social value in infrastructure systems. PhD, MSc, and BSc in Civil Engineering from Middle East Technical University Her work leverages systems thinking, artificial intelligence, and digital tools to develop decision-support frameworks for megaprojects and climate adaptation. Recent publications highlight innovations in NLP contract analysis, energy performance ontologies, and risk visualization techniques. She supervises students on topics spanning IoT lifecycle management, ESG risks, and NLP defect detection. Key collaborations include the Climate and Finance Research Cluster and Walker Institute , with contributions to digital construction technologies and sustainability risk assessment. Teaching modules include Construction Risk Management, Economics, and Business Organisation.

Eric Slessarevمشاهده پروفایل

استادیار

• Soil Science
• Biogeochemistry
• Carbon Sequestration
• +۳ مورد دیگر

Eric Slessarev is an Assistant Professor at Yale University , affiliated with the Department of Ecology and Evolutionary Biology and the Yale Center for Natural Carbon Capture. His research focuses on soil biogeochemistry, particularly how soil properties influence carbon and nutrient cycling in terrestrial ecosystems, with applications to climate change mitigation strategies like enhanced rock weathering and perennial grass cultivation. Teaches Ecology of Landforms and General Ecology Labs located at KGL 318 (research) and KGL 417 (office) His recent publications highlight interdisciplinary approaches to understanding mineral-organic matter interactions, microbial controls on carbon cycling, and policy implications for soil-based carbon removal strategies. Key methodologies include global data synthesis, isotope tracing, and experimental manipulation of soil-plant systems across depth profiles. Notably, his 2025 work demonstrates drought impacts on carbon persistence, microbial harnessing for CO2 removal, and economic modeling of reversible carbon storage. 2024 studies explore deep-rooted plant effects on carbon fractions, calcium's role in mollisol formation, and policy optimization for carbon sequestration.

• Land Use and Transportation Planning
• Travel Behavior and Built Environment
• Sustainability and Climate Adaptation
• +۵ مورد دیگر

Guang Tian, Ph.D. , is an Assistant Professor of City and Metropolitan Planning at the University of Utah and a faculty member at the Scientific Computing and Imaging Institute . His research bridges land use-transportation planning , travel behavior , and urban data science , with a focus on sustainability , climate adaptation , and equitable transit-oriented development . He previously founded the Center for Equitable Transit-Oriented Communities at the University of New Orleans as an Associate Professor. Education : Ph.D. in City & Metropolitan Planning (University of Utah, 2016) Professional Affiliations : Faculty, Scientific Computing and Imaging Institute (2025–present) His research leverages machine learning and GIS to analyze VMT reduction , active transportation , and the built environment’s impact on mobility . Key findings include the superior performance of random forest models over traditional methods in predicting mode choice and the role of polycentric urban structures in reducing auto dependency. Scientific Awards : Rising Scholar Award (2024, Association of Collegiate Schools of Planning) Grants include funding from the US Department of Transportation for equitable transit communities and multiple Louisiana Transportation Research Center projects on VMT modeling, rail infrastructure, and truck parking efficiency. His teaching centers on GIS applications in urban planning and transportation analysis.

• Marketing Analytics
• Electronic Commerce
• Online Advertising
• +۱۱ مورد دیگر

Prof. Dr. Bernd Skiera holds the first chair for electronic commerce in Germany at Goethe University Frankfurt am Main since 1999. He serves on the board of efl - The Data Science Institute and the Schmalenbach Society, while representing Germany at the European Marketing Community (EMAC). Chair of Marketing, Goethe University Frankfurt am Main Board member, efl - The Data Science Institute National representative, European Marketing Community (EMAC) His research focuses on MarTech/SalesTech integration, customer value management, online advertising analytics, data-driven pricing models, and the economic implications of internet privacy regulations. He leads the ERC Advanced Grant project on cookie usage restrictions' economic consequences. Recent publications examine dynamic pricing in digital markets, competition visualization using big data, and AI applications in marketing analytics. The ERC Advanced Grant research has produced empirical analyses of GDPR impacts on advertising ecosystems. 2015 Journal of Marketing Best Paper Award 2013 International Journal of Research in Marketing Best Paper Award Multiple MSI/H. Paul Root Award recognitions He has mentored 17 doctoral students who became professors globally, including at London Business School and LMU Munich. His work bridges marketing analytics with financial valuation through customer equity modeling.

Malgorzata Blicharskaمشاهده پروفایل

مدرس ارشد

• Sustainable Development
• Climate Change Governance
• Ecosystem Services
• +۶ مورد دیگر

Malgorzata Blicharska is a Senior Lecturer in Sustainable Development at Uppsala University, affiliated with the Department of Geosciences and the Institute for Research on Conflicts of Interest in Sustainable Social Transformation. Her work spans multiple research domains focused on sustainable natural resource management and policy implementation. Dr. Blicharska's research focuses on sustainable development with expertise in ecosystem services, biodiversity conservation, climate change governance, and the Water-Energy-Food-Ecosystem (WEFE) nexus. She integrates social science perspectives with environmental management, examining policy implementation and stakeholder engagement in conservation initiatives. Her work includes extensive research on urban ponds, recreational fisheries, and nature-based solutions, particularly focusing on ponds and wetlands as key components of sustainable landscape management. Her recent publications reveal a strong emphasis on transdisciplinary approaches to environmental challenges, with growing focus on nature-based solutions, drought vulnerability in forested regions, and governance aspects of implementing the WEFE nexus concept. Her work increasingly addresses justice dimensions in environmental management and stakeholder engagement in policy implementation. LANDPATHS: Swedish Environmental Protection Agency-funded program on multifunctional landscapes (coordinator) PONDERFUL: Horizon 2020 project on pond biodiversity and ecosystem services (WP lead) NEXOGENESIS: Horizon 2020 project on WEFE nexus policy integration (WP lead) Wet-Kit: Swedish Environmental Protection Agency project on wetland optimization PUDDLE-JUMP: Formas-funded project on small artificial waterbodies

• Machine Learning Ethics
• Philosophy of Science
• Interpretability in AI
• +۵ مورد دیگر

Thomas Grote is a Research Fellow at the University of Tübingen's Ethics and Philosophy Lab within the Cluster of Excellence 'Machine Learning: New Perspectives for Science'. His research focuses on philosophical and ethical dimensions of artificial intelligence, particularly interpretability, fairness, and reliability in medical and social contexts. He co-supervises the Carl-Zeiss-Stiftung-funded project 'Certification and Foundations of Safe Machine Learning Systems in Healthcare' and co-organizes the 'Philosophy of Science Meets Machine Learning' conference series. Research Focus Grote's interdisciplinary work bridges philosophy of science and applied AI ethics. Key areas include: Methodological foundations of AI ethics and epistemology Clinical reliability and safety of ML systems Fairness metrics in sociotechnical healthcare systems Interpretability requirements for medical AI Computational psychiatry and evolving mental health frameworks His recent publications demonstrate strong emphasis on healthcare applications, with critical analyses of reliability in foundation models, ethical paradigms for LLMs, and rethinking evaluation methodologies at the epistemology-ethics interface.