جستجوی استاد راهنمای دانشگاهی

• Virtual Reality (VR)
• Human-Computer Interaction
• Haptic Feedback Systems
• +۷ مورد دیگر

Roope Raisamo is a Professor in the Department of Computing Sciences at Tampere University, part of the Faculty of Information Technology and Communication Sciences. His research focuses on advanced human-computer interaction, virtual/augmented reality systems, haptic feedback technologies, and their applications in medical, automotive, and assistive technology domains. He leads multidisciplinary projects involving collaboration with industry partners like car manufacturers and healthcare institutions. Key areas of expertise include: (1) Design of immersive XR environments with multimodal feedback integration, (2) Haptic actuator development using smart materials like magnetorheological fluids, (3) Ergonomic interfaces for autonomous vehicles, and (4) Accessibility solutions for seniors and disabled populations. His work bridges theoretical HCI research with practical applications seen in surgical training systems, automotive UIs, and wearable communication aids. Raisamo's research outputs from 2023-2025 show strong focus on: - Sensory augmentation in food perception through XR (2025) - Medical VR applications for surgical planning and tumor visualization (2024-2025) - Haptic-mediating technologies for automotive and industrial interfaces (2023-2025) He has pioneered the use of embedded haptic waveguides in steering wheel interfaces and developed novel textile-based AAC systems for non-verbal communication. Current projects include exploring the medical metaverse for collaborative surgical planning and creating AI-enhanced research tools like TAUCHI-GPT.

Hanno Friedrichمشاهده پروفایل

دانشیار

• Freight Transport Modelling
• Transport Economics
• Risk Management in Logistics
• +۶ مورد دیگر

Prof. Dr. Hanno Friedrich is an Associate Professor of Freight Transportation - Modelling and Policy at Kühne Logistics University (KLU) in Hamburg, Germany. He holds a Diplom-Wirtschaftsingenieur from the Karlsruhe Institute of Technology (KIT) and a Ph.D. in Economics from KIT (2010), focusing on logistics simulation in food retailing. Prior to academia, he worked at McKinsey & Company (2004-2010) and served as a Junior Professor at TU Darmstadt (2011). Affiliations: Kühne Logistics University, World Conference on Transport Research Society (SIG B5), European Transport Conference (Freight & Logistics Committee) Education: PhD in Economics (KIT, 2010), Diplom-Wirtschaftsingenieur (KIT, 2003), ERASMUS exchange at EM Lyon (2001-2003) Research Interests: His work focuses on freight transport demand modelling, food logistics resilience, risk management in supply chains, and intermodal transport networks. Notable projects include FoodDecide (digital food safety tools), HeGeL (German logistics hypernetworks), and SEAK (food supply chain disruptions). Recent Trends: Articles emphasize spatial analysis of organic food demand, machine learning for ETA predictions in intermodal transport, and computational methods for tracing foodborne outbreaks. Recent work explores regional food self-sufficiency and electric mobility in commercial transport. Grants/Projects: Over 15 projects funded by BMBF, BMVI, and EU, including NutriSafe (blockchain in food logistics) and SMECS (ETA forecasting for seaports). Labs/Teams: Leads research groups in food supply chain resilience, freight transport policy, and intermodal logistics innovation at KLU.

• Supply Chain Management
• Industry 4.0/5.0 Applications
• Supply Chain Resilience
• +۷ مورد دیگر

Dr. Abhijeet Ghadge is an Associate Professor of Supply Chain Management and Co-Director of the Open Programme in Supply Chain Management at Cranfield School of Management, Cranfield University. He holds a PhD from Loughborough University and degrees from IIT Kharagpur and Aeronautical Society of India. His research focuses on Industry 4.0/5.0 applications, supply chain resilience, and digital transformation in logistics. He has published extensively in journals like IJOPM, IJPE, and SCMIJ, and actively collaborates with industry leaders such as Rolls-Royce and DHL. Education: PhD in Operations and Supply Chain Management, Loughborough University MTech in Industrial Engineering and Management, IIT Kharagpur BEng in Aeronautical Engineering, Aeronautical Society of India Research interests emphasize digital twin implementation, blockchain in food and pharmaceutical supply chains, and climate change impact mitigation. He serves on editorial boards of journals like International Journal of Logistics Management and Computers & Industrial Engineering, and advises organizations like the Logistics Research Network and UK Critical Imports Council. Recent projects include an Innovate UK-funded IoT-Blockchain platform for maritime shipping and a study on post-Brexit supply chain strategies. His work addresses critical risks like cybersecurity, counterfeit goods, and pandemic disruptions. Awards include Fellowship from the Higher Education Academy and membership in CILT (UK). Grants and collaborations total over £1.5M, with interdisciplinary projects involving SMEs and global firms. His advisory role in the Critical Imports Council underscores his leadership in national supply chain resilience initiatives. Labs/Teams: Leads research in Cranfield’s Centre for Logistics, Procurement, and Supply Chain Management, focusing on resilience, Industry 4.0 integration, and sustainable practices.

Noelle Beckmanمشاهده پروفایل

دانشیار

• Seed Dispersal
• Seedscape Ecology
• Theoretical Ecology
• +۹ مورد دیگر

Noelle Beckman is an Associate Professor in the Department of Biology and Ecology Center at Utah State University, with affiliations in Climate Adaptation Science and Mathematical Biology Programs. She earned her PhD in Ecology, Evolution, & Behavior from the University of Minnesota, Twin Cities (2010) and conducted postdoctoral work at MBI and SESYNC. As Co-Director of Graduate Studies, she mentors students in theoretical ecology, seed dispersal, and global change impacts. Education: PhD (2010, University of Minnesota), BS (2002, Washington and Lee University), Teaching Scholar Certificate (2020, USU) Her research focuses on seedscape ecology , integrating empirical and quantitative methods to study seed dispersal mechanisms, plant-animal interactions, and consequences of global change. Key themes include tropical forest dynamics, spatial ecology, and functional traits. She leads interdisciplinary projects on seed dispersal networks and socio-environmental synthesis, with recent work on phytochemical diversity in Psychotria species. 2024-2025 publications highlight seed dispersal resilience in fragmented habitats and allometric perspectives on extinction impacts. Earlier studies span plant-soil feedback, frugivory by carnivorans, and human demographic patterns in paleo-ecology. Collaborations involve institutions like Smithsonian Tropical Research Institute and National Socio-Environmental Synthesis Center. Scientific Awards: College of Science Outstanding Graduate Mentor (2023), NSF Fellowships (2015, 2012, 2005), SESYNC Short-Term Visitor (2020), DC Faculty Fellow (2019) She advises graduate students in tropical ecosystem modeling, phytochemistry, and socio-environmental systems. Her lab group includes postdoctoral researchers and technicians, with active projects on seed dispersal under climate change and assisted migration strategies.

Ignacio Arganda Carrerasمشاهده پروفایل

دانشیار

• Biomedical Computer Vision
• Deep Learning
• Medical Imaging Analysis
• +۳ مورد دیگر

Ignacio Arganda Carreras is an Associate Professor at the Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU) and an Ikerbasque Research Associate, affiliated with the Donostia International Physics Center (DIPC). His research focuses on biomedical computer vision, with a strong emphasis on deep learning applications in microscopy and medical imaging. Key areas include bioimage analysis pipelines, domain adaptation for cross-modal image segmentation, and AI-driven solutions for healthcare diagnostics. He has contributed extensively to open-source tools like BiaPy, CartoCell, and DL4MicEverywhere, which advance accessibility to deep learning in bioimaging. His work bridges computational methods with biological and medical challenges, addressing issues like 3D object detection, super-resolution imaging, and automated classification in microscopy and clinical settings. Research highlights include developing the MitoEM and Nucmm datasets for mitochondria and neuronal nuclei segmentation, as well as innovative applications in wound healing modeling and aquaculture monitoring. His methodologies emphasize reproducibility, generalization, and mitigation of overfitting in deep learning models.

Daniel Redheadمشاهده پروفایل

استادیار

• Anthropology
• Evolutionary Biology
• Psychology
• +۵ مورد دیگر

Roles and Affiliations: Daniel Redhead is an Assistant Professor at the University of Groningen (since 2023) within the Department of Sociology and the Inter-university Center for Social Science Theory and Methodology (ICS). He concurrently serves as a Guest Researcher at the Max Planck Institute for Evolutionary Anthropology's Department of Human Behavior, Ecology and Culture. Previously, he held roles including Group Leader (2020–2023) and Postdoctoral Research Fellow (2018–2020) at the same institute, and Visiting Researcher at the University of Illinois at Urbana-Champaign (2017–2018). Education: PhD in Psychology (2015–2018), University of Essex Masters by Research (MA) in Anthropology (2014–2015), Durham University BA (Hons) in Archaeology and Anthropology (2011–2014), Durham University Research Interests: Redhead focuses on cultural evolution, human behavioral ecology, social hierarchy, and social network analysis . His work examines how social structures, cooperation, and inequality emerge in diverse contexts—from rural Colombian communities to foraging societies in the Congo Basin. He employs advanced statistical methods and computational models to analyze complex social systems. Articles Trends: His recent publications emphasize methodological innovations (e.g., Bayesian network analysis, STRAND software), cross-cultural studies of cooperation and status, and interdisciplinary approaches bridging anthropology, evolutionary biology, and sociology. Awards: Human Behavior & Evolution Society Margo Wilson Award (2024) NSF HNDS Program Co-PI Grant ($400,000, 2022) Leakey Foundation Research Grant (2025) Teaching & Grants: Redhead teaches courses on Solidarity & Social Contexts and Methodology & Data Collection at the University of Groningen. He actively secures grants as PI/Co-I, including multi-million-dollar NSF and ESRC funding.

• Computational Chemistry
• Inorganic Chemistry
• Transition Metal Complexes
• +۳ مورد دیگر

Miloš K. Milčić is an Associate Professor at the Department of General and Inorganic Chemistry, Faculty of Chemistry, University of Belgrade. He holds a Ph.D. in Chemistry from the same institution and has been affiliated with the Faculty since 1999. His research focuses on computational chemistry, transition metal complexes, and molecular interactions, with a particular emphasis on crystal engineering and quantum chemical modeling. He has contributed to projects funded by the European Commission, Science Fund of Serbia, and international bodies. Education: Bachelor’s in Chemistry (1992–1998), Faculty of Chemistry, University of Belgrade Master’s in Chemistry (1998–2002), Faculty of Chemistry, University of Belgrade PhD in Chemistry (2002–2006), Faculty of Chemistry, University of Belgrade Research interests include computational studies of transition metal complexes, cation-π interactions, hydrogen bonding in porphyrin systems, and molecular modeling of catalytic materials. His work bridges theoretical chemistry and experimental crystallography, addressing fundamental questions in inorganic and organometallic chemistry. Key projects: IMPTOX (2021–2025): Investigating microplastic toxicity funded by Horizon 2020 TMMagCat (2022–2025): Designing molecular magnets funded by Serbia’s Science Fund ALG2MEAT (2023–2025): Algal extracts for cell-based meat funded by the Good Food Institute He has served as Vice Dean for Academic Affairs (2010–2013) and on committees for admissions and publishing. His work has been recognized through ORCID (0000-0002-0082-5278) and Scopus (ID 6507079694).

Zahid Islamمشاهده پروفایل

استاد

• Data Mining
• Cyber Security
• Machine Learning
• +۸ مورد دیگر

Zahid Islam is a Professor of Computer Science and Associate Dean (Research) at Charles Sturt University's Faculty of Business, Justice and Behavioural Sciences (FoBJBS). He leads the Data Science and Engineering Research Unit (DSERU) and the Cyber Security CRC initiatives. His research focuses on Data Mining, Cyber Security, Privacy-Preserving Techniques, and Machine Learning applications in real-world domains such as healthcare and agriculture. Key roles include: Associate Dean (Research), FoBJBS (since 2023) Director, DSERU (2019–2023) Theme Lead & Academic Lead, Cyber Security CRC (2021–2023) Research interests span: Data Mining: Classification, Clustering, Federated Learning, Missing Value Analysis Cyber Security: Malware Detection, Adversarial Attacks, IoT Security Applications: Healthcare, Agriculture, Smart Farming, Supply Chain Recent work includes developing frameworks for ransomware detection (RADAR dataset), collaborative learning in healthcare (CL3), and privacy-preserving techniques like UD-LDP. His cyber security research has earned the 2021 Cyber Security Researcher of the Year Award (AISA). Key grants include: $5M+ external funding for cybersecurity projects AI for Mental Health Support (2025) Adaptive Federated Learning Grant (2024) Labs/Groups: Data Mining Research Group (DaMRG), Machine Vision and Digital Health (MaViDH), Cyber Security Research Group (CSRG)

• Self-Supervised Learning
• Unsupervised Representation Learning
• Computer Vision
• +۱۳ مورد دیگر

Aiden Durrant is a Lecturer in the School of Natural and Computing Sciences at the University of Aberdeen, actively contributing to research and teaching in computing science. He is affiliated with the South China Normal University Joint Institute and is accepting PhD students in Computing Science. His research spans machine learning, computer vision, and AI, with a focus on self-supervised and geometric representation learning. BSc (Hons) and MPhil in Computer Science, University of Lincoln PhD in Computing Science, University of Aberdeen Aiden Durrant’s research centers on self-supervised learning and the geometric structuring of learned representations. He investigates how to learn high-quality image representations without human-annotated labels, focusing on preserving semantic and hierarchical knowledge through hyperbolic and hyperspherical geometries. His work extends to multi-modal learning and has practical applications in environmental monitoring, agriculture, nuclear reactor safety, and climate change. He has developed novel architectures such as HMSN (Hyperbolic Self-Supervised Learning) and S-JEA (Stacked Joint Embedding Architectures) to improve representation quality. His recent publications (2023–2025) demonstrate a strong trend in foundation models, self-supervised learning, and deep learning for environmental and industrial applications. Key themes include crevasse mapping in glaciology, segment anything models for drone imagery, and hyperbolic clustering for semantic hierarchies. His earlier work (2019–2022) focused on nuclear reactor anomaly detection using deep learning and time-series analysis, contributing to the CORTEX Horizon 2020 project. Scientific Awards: PhD Poster Award, FISA - 9th European Commission conference on Euratom research and training in safety of reactor systems (2019) Durrant has secured competitive funding, including a 2024 SUSTAIN CDT Studentship (PI) and an Aberdeen Internal Pump-Priming grant (Co-PI), supporting research in AI for glacier mapping and sustainable crop breeding. He supervises PhD students and has co-led teaching modules in Machine Learning, Data Mining, and Research Methods at both undergraduate and postgraduate levels. He also contributes nationally as Deputy Director of the SICSA Graduate Academy, supporting research training across all 14 Scottish computer science departments. He is actively involved in interdisciplinary collaborations, particularly in agri-food data sharing, environmental sustainability, and healthcare AI, often working with cross-institutional teams. His external memberships include BMVA and leadership in organizing the BMVA 2025 Summer School.

Fabian Grabenhorstمشاهده پروفایل

دانشیار

• Neurophysiology of Reward
• Decision-Making Processes
• Amygdala Function
• +۴ مورد دیگر

Professor Fabian Grabenhorst is an Associate Professor at the University of Oxford's Department of Experimental Psychology and a Tutorial Fellow at Jesus College. His academic background includes a DPhil in Experimental Psychology from Oxford, post-doctoral work in neurophysiology at Cambridge, and a Wellcome Trust Sir Henry Dale Fellowship. He leads a research group investigating the neurophysiological mechanisms of reward processing, decision-making, and social cognition, with a focus on the amygdala's role in these processes. His research employs single-neuron recordings, functional neuroimaging, and computational modeling to study how sensory, nutrient, and social factors influence decision-making. Key areas of investigation include the amygdala's role in simulating social partners' decisions, nutrient-based economic value, and oral texture perception. Selected publications highlight his work on amygdala neurons' dynamic coding of reward attributes, social risk processing, and the neural basis of saving strategies. He has received the Wellcome Trust Sir Henry Dale Fellowship, reflecting his contributions to neuroscience and decision-making research. Professor Grabenhorst teaches experimental psychology and neuroscience at Jesus College, focusing on courses in Psychology, Psychology-Philosophy-Linguistics, and Experimental Psychology. His research group's interdisciplinary approach bridges neuroscience, psychology, and economics to understand fundamental brain mechanisms guiding human behavior.

Anulipt Chandanمشاهده پروفایل

مدرس

• Blockchain Technology
• Sustainability
• Renewable Energy
• +۶ مورد دیگر

Dr. Anulipt Chandan is a Lecturer in the School of Civil and Mechanical Engineering at Curtin University, located on the Curtin Perth campus. He holds a PhD in Sustainable Engineering, M.Tech in Electrical Engineering, and B.Tech in Electronics Engineering. His roles include contributing to the Faculty of Science and Engineering and serving in the Office of the Provost. Dr. Chandan's research focuses on interdisciplinary areas including blockchain technology, sustainability in energy systems, smart grid innovations, supply chain traceability, and materials science. His work bridges electrical engineering with emerging technologies, addressing challenges in renewable energy integration, failure analysis of materials, and achieving UN Sustainable Development Goals (SDGs) through blockchain applications. His publications span from materials science studies on alloy steels and nanocrystalline structures to blockchain frameworks for supply chain transparency and energy management systems. He has taught courses such as 'Renewable Energy Principles,' 'Sustainability and Renewable Energy,' and 'Ethics and Sustainability in Engineering.' Dr. Chandan’s research emphasizes practical solutions for global sustainability challenges, leveraging his expertise in both technical and socio-economic dimensions of innovation.

Armen Kemanianمشاهده پروفایل

استاد

• Agricultural Ecosystems
• Soil Carbon and Nitrogen Cycling
• Plant Water Uptake
• +۵ مورد دیگر

Armen Kemanian is a Professor of Plant Science at Pennsylvania State University's College of Agricultural Sciences and an Institute of Energy and the Environment (IEE) Fellow. His research focuses on understanding and managing agricultural and natural ecosystems across multiple scales, integrating soil processes, plant-water dynamics, and decision support systems. He leads projects like the Cycles agroecosystem model, which links fundamental research with societal challenges in food production, climate change, and environmental sustainability. Key areas of research include soil carbon/nitrogen cycling, agroecosystem modeling, and bioenergy crop systems. He has developed decision tools for farmers and policymakers, addressing issues like N2O emissions, water quality policies, and cover crop management. Recent work includes modeling plant stress thresholds, agrivoltaic systems, and crop resilience under climate change. Notable achievements include being named an IEE Fellow and receiving USDA grants. His work has been featured in journals like Nature Communications and Environmental Research Letters. He collaborates on interdisciplinary projects involving AI-driven modeling and policy impact assessments. Key publications span topics from soil moisture thresholds to bioenergy sustainability, with a focus on translating science into actionable tools for agriculture and environmental stewardship.

Wesley Goatleyمشاهده پروفایل

مدرس ارشد

• Critical Data Aesthetics
• Artificial Intelligence and Society
• Geopolitics of Technology
• +۷ مورد دیگر

Wesley Goatley is an Acting Programme Director of Interaction Design and Visual Communication at the London College of Communication (LCC), part of University of the Arts London. With a doctorate in Creative and Critical Practice from the University of Sussex, he is a critical artist and researcher whose work examines Artificial Intelligence technologies and their relations to society, geopolitics, and the climate crisis. Goatley's research interests focus on critical data aesthetics, the sociopolitical implications of AI, and speculative futures. His work investigates how art practice can intervene and explore AI technologies, emphasizing their ecological impact and the myths they represent. He creates installations, performances, and films that expose the hidden mechanisms of AI listening, smart devices, and surveillance technologies, often using deconstructed synthetic voices to highlight their non-human nature. His artistic outputs form a cohesive body of work that critically examines the relationship between humans and AI. Through soundtracked speculative fiction, interactive installations, and performance art, Goatley explores alternative futures where AI is banned, forgotten, phased-out, or surpassed. His works consistently address themes of climate crisis, e-waste, surveillance, and the geopolitical forces behind seemingly friendly consumer technologies. EMARE/EMAP residency prize with Impakt Festival (2017) Goatley has presented his work internationally at venues including Eyebeam in New York, Berghain in Berlin, The Nam June Paik Art Center in Seoul, and the Victoria & Albert Museum in London. His installations have been commissioned by organizations including Tactical Tech Berlin, Science Gallery London, and the Bridging Responsible AI Divides (BRAID) Programme. He has also consulted for organizations such as BBC R&D and the University of the Creative Arts, London. Goatley maintains an active presence in the critical AI community, having given talks at international events such as Milan Design Week, Global Art Forum Singapore, CTM Festival Berlin, and the European Data Forum in Eindhoven. His work bridges artistic practice with critical theory, creating tangible experiences that make abstract technological systems visible and critique-able.

Michelle Jungbluthمشاهده پروفایل

استاد مدعو

• Biological Oceanography
• Molecular Biology
• Marine Ecology
• +۷ مورد دیگر

Michelle Jungbluth is an Adjunct Professor of Biology at San Francisco State University (SFSU), specializing in Biological Oceanography and Molecular Biology. She leads the Jungbluth Lab at the Estuary & Ocean Science Center, focusing on marine ecosystems, microbial diversity, and the application of advanced molecular techniques like environmental DNA (eDNA) and genomics. Her work integrates interdisciplinary collaborations, including studies on deep-sea exploration, microbial extremophiles, and AI-driven environmental solutions. Her research emphasizes food web dynamics, wetland restoration, and biodiversity assessment in marine and estuarine environments. Key projects include collaborations with Dr. Wim Kimmerer on zooplankton studies, Dr. Karen Crow on manta ray distribution via eDNA, and UC Davis on sevengill shark diets. She also develops data standards for genomic and environmental research through initiatives like the MIEM guidelines and FAIR-aligned data frameworks. Research interests span astrobiology, deep biosphere exploration, and synthetic biology applications for environmental challenges. The lab supports M.S. students in Integrative Biology or Computer Science, and volunteers in field and lab settings. Funding sources include grants from agencies like NSF and NOAA, supporting projects on microbial ecology, deep-sea biodiversity, and AI in environmental science. Notable achievements include pioneering eDNA methodologies, characterizing abyssal larval communities, and advancing genomic standards. Her lab’s work contributes to both fundamental understanding of marine systems and applied solutions for ecosystem resilience and conservation.

Moira Zellnerمشاهده پروفایل

استاد

• Urban Planning
• Environmental Policy
• Complex Systems Modeling
• +۵ مورد دیگر

Moira Zellner is a Professor of Public Policy and Urban Affairs at Northeastern University’s College of Social Sciences and Humanities. She serves as Director of the MS in Urban Informatics Program and Director of Participatory Modeling and Data Science. Previously, she was an Associate Professor at the University of Illinois at Chicago, where she led the Urban Data Visualization Lab. Her work bridges urban planning, environmental science, and complexity theory, focusing on participatory modeling for collaborative policy design and sustainability transitions. She teaches courses on agent-based modeling, environmental decision-making, and participatory modeling for knowledge co-production. Her research emphasizes stakeholder engagement in complex socio-ecological systems, including green infrastructure planning, water quality management, and climate resilience. She has pioneered tools like conversational assistants for data visualization and innovative approaches to census outreach. Zellner’s academic contributions span interdisciplinary journals and conferences, addressing urban-rural linkages, sustainability science, and transdisciplinary collaboration. Zellner holds a PhD in Urban and Regional Planning from the University of Michigan. She has advised international organizations, government agencies, and NGOs, advocating for equitable urban policies. Her professional service includes roles as a journal reviewer and scientific advisor, reflecting her commitment to bridging academia and practice. Key research themes include: participatory modeling methodologies, socio-environmental systems modeling, urban informatics, and the application of complexity theory to public policy. Recent work explores spatial planning for nature-based solutions, leveraging technology for inclusive civic engagement, and advancing computational tools for decision-making.