جست‌وجوی استاد و پژوهشگر

• Mobile Cloud Computing
• Mobile Middleware
• Mobile Ad-hoc Networks (MANET)
• +۴ مورد دیگر

Dan Emanoil Grigoras is a Senior Lecturer in the Department of Computer Science at University College Cork (UCC), Ireland. He holds a PhD from Politehnica University of Bucharest and previously served as a Professor at Technical University Iasi (2000-2001). His research focuses on mobile cloud computing, middleware systems, mobile ad-hoc networks (MANET), and smart city applications. He leads the Mobile and Cluster Computing Group at UCC, coordinating research on mobile middleware, cloud services, and sensing technologies for urban environments. Education: PhD in Computer Science, Politehnica University of Bucharest (1994) MSc in Electrical Engineering, Technical University Iasi (1981) BSc in Electrical Engineering, Technical University Iasi (1981) Research Interests: Mobile cloud architecture, context-aware systems, MANET protocols, smart city sensing, middleware frameworks, and distributed computing systems. Grigoras has led multiple research grants, including a €72,000 IRCSET-funded project on mobile cloud user experience (2012–2016) and an Enterprise Ireland-funded healthcare project. He initiated UCC's MSc in Software and Systems for Mobile Networks (2005–2011) and currently teaches advanced modules in middleware, mobile systems, and operating systems. Awards: Best Paper Award, CloudTech 2018 Cloud Challenge Award, IEEE/ACM Utility and Cloud Computing 2015 Grants & Advising: Current advising: 1 PhD student and 3 MSc students Research streams include MANET management via cloud services and context-aware middleware Labs & Affiliations: Member of the Mobile and Internet Systems Laboratory (MISL) Member of the Boole Centre for Research in Informatics (BCRI)

• Internet of Things
• 6G Software Architecture
• Machine Learning Systems
• +۵ مورد دیگر

Abhishek Kumar is a Researcher at the Center for Ubiquitous Computing, part of the Faculty of Information Technology and Electrical Engineering at the University of Oulu. He holds a PhD from the Department of Computer Science at the University of Helsinki (2018–2022). His research focuses on software-hardware co-integration in areas such as IoT, 6G, machine learning systems, energy efficiency, and environmental sensing, with a strong emphasis on trustworthy computing and UN Sustainable Development Goals (SDGs) like clean energy and sustainable cities. Teaching responsibilities include courses such as 521290S Distributed Systems (5 ECTS, 2025), High Performance Computing: Programming Parallel Supercomputers (3 ECTS, 2025), and Network Analysis and Graph Machine Learning (2 ECTS, 2025). Past courses include IoT and distributed systems modules from 2022 onward. He actively supervises 1 PhD student, 11 Master’s thesis students, and 4 independent studies, with prior supervision of 3 Bachelor’s, 4 Master’s, and 10 Advanced Practical Training students. Research collaborations span VTT, Ericsson Research, Alif Semiconductor, Aalto University, and University of Helsinki. He advises Soundxvision Oy, a Helsinki XR Center startup developing input modalities for XR headsets. Funding sources include the Finnish-American Research & Innovation Accelerator (FARIA), Indian-Finnish Consortia (FICORE), Nokia Foundation, and Walter Ahlström Foundation. His work bridges IoT, 6G, and AI to address environmental and societal challenges, leveraging software-defined systems and distributed computing paradigms. Recent publications explore metaverse integration, edge AI, and cybersecurity in emerging networks.

Bamidele Adebisiمشاهده پروفایل

استاد

• Smart Grids
• Internet of Things (IoT)
• Smart Cities
• +۳ مورد دیگر

Professor Bamidele Adebisi is a Professor in Intelligent Infrastructure Systems and Head of the Smart Infrastructure and Industry Research (SIIR) Group at Manchester Metropolitan University's Department of Engineering. He has a PhD in Communication Systems from Lancaster University and holds roles such as Director of the African Hydrogen Partnership Trade Association and member of the Manchester Fuel Cell Innovation Centre. His research focuses on integrating sensing, communication, and data analytics into critical infrastructure like energy systems, transport, and smart cities. Awardees include the MBE for services to Knowledge Transfer and multiple industry collaboration awards. Education: B.Sc. Electrical Engineering (Ahmadu Bello University), M.Sc. and Ph.D. in Communication Systems (Lancaster University). Notable projects include leading the £29M EU-funded Triangulum smart cities project and the £10M CityVerve initiative. He has secured grants exceeding £45M across multi-country collaborations. Research interests span IoT, smart grids, peer-to-peer energy trading, and hydrogen energy. Board Member, African Hydrogen Partnership Visiting Professorships at University of Johannesburg and Afe Babalola University Editorial roles in IET Smart Cities, IEEE journals, and others Key contributions include innovations in cybersecurity for IoT, KTP award-winning projects, and academic leadership in smart infrastructure. His work bridges academia and industry, emphasizing sustainable energy and infrastructure solutions.

EMILIO RAFAEL DIAZ VARELAمشاهده پروفایل

استاد

• Ecological Planning
• Climate Change Impact
• Agroforestry Systems
• +۶ مورد دیگر

Emilio Rafael Díaz Varela is a Professor at the University of Santiago de Compostela, affiliated with the Department of Plant Production and Engineering within the Higher Polytechnic School of Engineering. He is part of research groups such as COMPASSES (Planning and Management in Complex Adaptive Socio-Ecological Systems), ECOAGRASOC (Agri-Food and Environmental Economics), and PROEPLA (Projects and Planning). His research focuses on ecological planning, climate change impacts on agroforestry systems, and sustainable management of socio-ecological landscapes. He holds a PhD from the University of Santiago de Compostela (2005), with a thesis on multiscale ecological planning using GIS for landscape sustainability. His work emphasizes spatial decision support systems, ecosystem services assessment, and stakeholder engagement in environmental governance. Key areas include the conservation of chestnut agroforestry systems, green infrastructure planning, and resilience in urban-rural interfaces. He has collaborated on projects addressing climate change adaptation, wildfire management, and communal forest governance in Galicia. Recent publications highlight his contributions to understanding climate-driven shifts in species distribution, optimizing forest productivity, and integrating local knowledge into landscape management. His research bridges ecological science with policy, aiming to balance environmental protection with socio-economic needs.

• Primatology
• Behavioral Ecology
• Tropical Ecosystems
• +۹ مورد دیگر

Professor Amanda Korstjens is a Professor of Behavioural Ecology at Bournemouth University's School of Life and Environmental Sciences. With over two decades of research experience, she has established herself as a leading expert in primatology and conservation biology, particularly focusing on tropical ecosystems and primate behavior. Her work bridges ecology, climate science, and conservation practice, with significant contributions to understanding how environmental changes impact primate populations across Africa and Southeast Asia. Her academic journey began with a PhD in Biology from Utrecht University (2001), where her dissertation focused on primate social systems in Taï National Park. This foundational work established her expertise in primate behavioral ecology and laid the groundwork for her subsequent research on red colobus monkeys and their mating systems. Professor Korstjens' research spans multiple critical areas in primatology and conservation science. She leads the LEAP (Landscape Ecology and Primatology) research program, which investigates how forest structure and disturbance affect primate distribution and behavior. Her work examines how climate change and human activities influence primate populations, with particular focus on red colobus monkeys and gibbons. She has pioneered the use of drone technology and microclimate measurements to understand how forest structure influences primate habitat use and responses to environmental change. Her research has significant implications for conservation strategies in the face of global climate change. Analysis of Professor Korstjens' recent publications reveals a strong interdisciplinary approach that integrates primatology with climate science and landscape ecology. Her work increasingly incorporates advanced technologies like UAVs (drones) and LiDAR for 3D forest mapping, combined with microclimate measurements to understand habitat quality at fine scales. There's a clear progression toward research with direct conservation applications, particularly through her work with the LEAP program in Sumatra, which examines how microclimate variations within forests create refuges for primates facing climate change. Associate Editor for Animal Behaviour (2017-2019) Editorial Board for Primates (2015-present) Invited Primate Species Specialist Group member of the IUCN Species Survival Committee (2017-2020) Topical Editor for Primate Biology - Copernicus Publications (2014-present) Professor Korstjens actively mentors the next generation of researchers, having supervised numerous PhD students including Emma Hankinson, Alexandria Young, Aralisa Citalli SHEDDEN-GONZALEZ, Helen Slater, Christopher Marsh, Kelly van Leeuwen, Lindsay Biermann, and Monika Knul. She has secured significant research funding from organizations including the Leverhulme Trust, People's Trust for Endangered Species, and the Primate Society of Great Britain. Her current research focuses on understanding how forest degradation affects primate populations in Sumatra and how microclimate variations can serve as refuges for primates facing climate change. She leads the LEAP (Landscape Ecology and Primatology) research program, an interdisciplinary initiative investigating the role of forest structure and disturbance on animal distribution and behavior in Sumatra, Indonesia. This program involves collaboration with researchers from multiple institutions including Liverpool John Moores University and the Sumatran Orangutan Conservation Programme. The LEAP program combines field observations with advanced remote sensing technologies to understand how primates respond to environmental changes, with direct applications for conservation planning.

Christopher Carrمشاهده پروفایل

استاد مدعو

• Spatial analysis
• Remote sensing
• Lidar
• +۶ مورد دیگر

Dr. Christopher Carr is an Adjunct Research Assistant Professor in the Department of Geography at the University of Cincinnati. His career spans 30 years in engineering before transitioning to academia, earning a PhD in Geography (2014) from the University of Cincinnati. His research focuses on human-environmental impacts in both ancient and modern contexts. In modern contexts, he studies Recreation Ecology, particularly impacts from camping, hiking, and rock climbing. In ancient studies, he uses spatial analysis and remote sensing (e.g., LiDAR) to examine Maya settlements, agricultural systems, and water management in Central America and the American Southwest. Education: PhD in Geography, University of Cincinnati, 2014 MA in Geography, University of Cincinnati, 2007 MEng in Mechanical Engineering, Cornell University, 1975 BS in Mechanical Engineering, Cornell University, 1974 Research Interests: GIS and remote sensing applications in archaeology Maya water management systems Lidar analysis of ancient landscapes Recreation ecology and environmental impact assessment Settlement patterns and agricultural potential in pre-Columbian societies Grants & Awards: Appalachian Trail Conservancy Grant (2016-2017): $5,000 for visitor impact studies 2006 Robert Bruce McNee Award for Outstanding Graduate Achievement in Geography 2011 Best Social/Behavioral Science Poster for cliff vegetation impact research Advising & Labs: Leading the Yaxnohcah Archaeological Project (Mexico) Collaborating with UC Tikal Project and Virginia Tech's Recreation Ecology Group Developed courses on GPS and field mapping techniques Key Projects: Lidar-based analysis of Maya water storage features at Yaxnohcah GIS mapping of Tikal's ancient infrastructure Assessment of recreation impacts in national parks (e.g., Shenandoah, Haleakala)

• Machine Learning
• Artificial Intelligence
• Signal Processing
• +۴ مورد دیگر

Wei Cui is a Professor in the School of Automation Science and Engineering at South China University of Technology, with significant research contributions across artificial intelligence, signal processing, and remote sensing applications. Their work demonstrates strong interdisciplinary collaboration across engineering disciplines. Research interests span machine learning for multimodal data analysis, with particular expertise in fake news detection systems, transportation optimization, and remote sensing applications. Recent work shows increasing focus on robotics perception, quantum information processing, and healthcare technology applications. The research program integrates theoretical advances with practical implementations in real-world systems. Publication trends over the last three years reveal growing specialization in multimodal learning approaches, with approximately 40% of recent publications focusing on AI applications for social media analysis and disinformation detection, 25% on transportation and logistics optimization, 20% on remote sensing and environmental monitoring, and 15% on emerging applications in healthcare and robotics. Wei Cui's research has been supported through multiple collaborative projects addressing practical engineering challenges in urban infrastructure, healthcare logistics, and environmental monitoring systems. The work demonstrates strong industry-academia collaboration with practical implementations in power systems, transportation networks, and healthcare technologies. Current research directions include advancing multimodal perception systems for humanoid robots, developing more robust disinformation detection frameworks, and exploring quantum-inspired optimization techniques for complex engineering problems. The lab maintains active collaborations with researchers in China, the United States, and Europe across multiple engineering disciplines.

Dimitris Kavroudakisمشاهده پروفایل

دانشیار

• Spatial Analysis
• Geographical Information Systems (GIS)
• Agent-Based Modeling
• +۷ مورد دیگر

Dr. Dimitris Kavroudakis is an Associate Professor of Geographical Analysis at the University of the Aegean , Department of Geography, Mytilene, Greece. He holds a PhD in Geography (Sheffield, UK), an MSc in GIS (Leeds, UK), and a BSc in Geography (University of the Aegean), with prior studies in Computer Information Systems (American College of Greece). His research spans advanced spatial analysis, agent-based modeling, network analysis, and GIS development, with a focus on smart cities, environmental monitoring, and socioeconomic inequality mapping. Academic Background PhD in Geography, University of Sheffield, UK MSc in GIS, University of Leeds, UK BSc in Geography, University of the Aegean, Greece Diploma in Computer Information Systems, American College of Greece His research integrates spatial data mining , spatial optimization , and agent-based modeling to address challenges in urban planning, environmental monitoring, and public health. Notable projects include CRISTINA (spatial analysis of pandemic spread), SDEM (smart environmental monitoring devices in public buildings), and LIFE TERRACESCAPE (restoration of Mediterranean landscapes). He employs open-source tools (e.g., QGIS, R) and hardware (Raspberry-PI) to advance sustainable solutions. Dr. Kavroudakis has contributed to 15 recent publications covering topics such as virtual reality in geoeducation, multiscale environmental monitoring, and precision pest management. His work emphasizes methodological innovation in spatial statistics, network analysis, and IoT data integration for smart city applications. Recent Projects CRISTINA : Spatial modeling of global pandemic dynamics SDEM : IoT-based environmental monitoring in public buildings LIFE TERRACESCAPE : Landscape restoration using geospatial methods SDG Indicators : Municipal contributions to UN Sustainable Development Goals Smart City Ecosystems : Cloud-based urban planning tools Geospatial Big Data : Novel analytics for environmental and social datasets He provides consultancy services in geographical information systems, spatial modeling, and smart city development. His expertise includes policy development, project evaluation, and training workshops for professionals in GIS and remote sensing. He also develops open-source software, including R libraries ( goal ) and QGIS plugins for spatial analysis and UAV mission planning.

• Archaeology
• Indigenous Studies
• Colonial History
• +۴ مورد دیگر

Prof Bryce Barker is a Professor of Anthropology at the University of Southern Queensland's School of Humanities and Communication. His affiliation with the Centre for Heritage and Culture Research underscores his commitment to interdisciplinary research. Holding a BA and PhD from the University of Queensland, Barker specializes in Indigenous archaeology, colonial frontier dynamics, and material culture analysis. His research focuses on reconstructing Indigenous histories through archaeological inquiry, particularly examining the legacy of the Queensland Native Mounted Police, coastal foraging strategies, and rock art interpretation. His work frequently integrates environmental, historical, and anthropological perspectives to address questions of cultural continuity and colonial impact. Recent studies highlight his contributions to understanding Holocene settlement patterns in Papua New Guinea, the material evidence of frontier conflicts, and the analysis of stone artifacts and cultural landscapes. His publications demonstrate a strong emphasis on decolonizing methodologies and community-engaged archaeology. Barker’s research outputs reflect a rigorous engagement with both theoretical and applied archaeology, bridging academic insights with heritage management practices.

Amanda Gallinatمشاهده پروفایل

استادیار مهمان

• Climate Change Ecology
• Phenology
• Plant-Animal Interactions
• +۳ مورد دیگر

Amanda Gallinat is a Visiting Assistant Professor of Environmental Studies at Colby College, focusing on ecology and environmental science. Her research integrates natural history, community interactions, and global environmental change, with an emphasis on phenology—the timing of seasonal biological events. She uses field observations, historical records, and citizen science data to study climate change impacts on plant and bird phenology. Her teaching includes courses such as Ecology (BI271), Applied Ecology (ES270), and Phenology: Ecology of the Seasons (ES335). She emphasizes hands-on learning and the application of ecological principles to real-world challenges. Research interests span climate change effects on phenology, plant-animal interactions, and the use of historical datasets (e.g., Henry David Thoreau's records) in ecological studies. Her work highlights the importance of phenological shifts in understanding species adaptation and conservation. Key articles explore macrophenology patterns, invasive species' roles in bird-plant interactions under climate change, and the ethical implications of conservation practices during crises like the pandemic. Her methodologies often combine herbarium specimens, citizen science, and advanced ecological modeling. Amanda's research bridges ecological theory and applied conservation, emphasizing interdisciplinary approaches to address global environmental challenges.

Weaver D.R. Weinbaumمشاهده پروفایل

استاد مدعو

• Philosophy of Mind
• Cognitive Science
• Metaphysics
• +۱۵ مورد دیگر

Weaver D.R. Weinbaum is an Adjunct Professor at the School of Thinking, Vrije Universiteit Brussel (VUB), and a researcher at the Center Leo Apostel (CLEA). His work spans interdisciplinary domains including Philosophy of Mind, Cognitive Science, Metaphysics, Complex Systems, and Cybernetics. He holds a PhD in Interdisciplinary Studies (2018) and an M.Sc. in Electronics and Computer Engineering (1989). Research Interests: His research focuses on the philosophy of individuation and self-organization, enactive cognition, the Global Brain, and the intersection of postmodernist thought with Tantric and Shamanic practices. He explores how sociotechnological systems evolve and how open-ended intelligence can be synthesized through self-organizing networks. Key Publications: His recent articles (2018) examine freedom through epistemic gaps, the potential of Internet-mediated governance, and post-human intelligence frameworks. Earlier works (2013-2016) address scalable cognition, synthetic intelligence, and metaphysical foundations rooted in Deleuze and Simondon. Scientific Contributions: He has no explicitly listed awards but has co-authored foundational works in complex systems and cognition. His theories integrate philosophy, cybernetics, and evolutionary dynamics to address systemic fragility and antifragility.

• Time Series Analysis
• Extreme Value Theory
• Financial Modelling
• +۵ مورد دیگر

Thomas Fung is a Senior Lecturer in Statistics at Macquarie University's School of Mathematical and Physical Sciences, serving as Director of Education and Deputy Course Director for the BSc program. He holds a PhD and B.Sc (Advanced Mathematics) from the University of Sydney. His research focuses on integer-valued time series analysis, extreme value theory, and financial modelling, addressing complex data issues like zero-inflation and heavy-tailedness. He teaches courses such as STAT1378 (Coding & Communication in Statistics) and actively supervises postgraduate students on projects like semiparametric models and climate data analysis. Key research projects include flexible models for count time series and improving financial time series analysis via Variance-Gamma processes. His work has been published in journals like Statistics and Probability Letters and Earth and Space Science . Awards include the 2023 Faculty of Science and Engineering Excellent Award for Educational Leadership and multiple Teaching Development Grants. He serves on editorial boards for the Australian and New Zealand Journal of Statistics and R Journal , and holds leadership roles in professional societies like the Statistical Society of Australia NSW Branch. His interdisciplinary collaborations span environmental science, public health, and criminology, reflecting his broad statistical expertise.

Catherine Linardمشاهده پروفایل

استاد

• Spatial Epidemiology
• Health Geography
• Human Population Mapping
• +۵ مورد دیگر

Catherine Linard is a Professor in the Department of Geography at the University of Namur, affiliated with the Institute of Life-Earth-Environment. She specializes in spatial epidemiology, integrating GIS, remote sensing, and statistical modeling to study vector-borne and zoonotic diseases such as malaria, dengue, and avian influenza. Her work focuses on human population distribution, urban expansion in Africa, and the health implications of demographic shifts. She co-leads the WorldPop project, producing high-resolution population maps for African countries. Education: BSc in Geography, Université Catholique de Louvain (2003) MSc in Geography, Université Catholique de Louvain (2005) PhD in Sciences (Geography), Université Catholique de Louvain (2009) Research Interests: Spatial epidemiology, health geography, human population mapping, GIS applications, and disease modeling. Her current projects include predicting viral transmission in Rwanda, malaria risk mapping in Senegal, and flood crisis management using Earth observation data. Projects: WorldPop consortium (global population mapping) FLOWS project (flood crisis management) PRD-ZoonVir (wildlife-human viral transmission) Grants & Awards: Wiener-Anspach Foundation postdoctoral fellowship, FNRS/BELSPO funding, and leadership roles in international research networks. Labs/Teams: Spatial Epidemiology Lab (SpELL), WorldPop consortium, and interdisciplinary teams addressing urban health and environmental crises.

• Internet of Things
• Wireless Sensor Networks
• Human-in-the-Loop Systems
• +۶ مورد دیگر

Jorge Sá Silva is a Professor at the Department of Informatics Engineering within the Faculty of Sciences and Technology at the University of Coimbra, Portugal. With a prolific publication record spanning over two decades, he has established himself as a leading researcher in Internet of Things, Cyber-Physical Systems, and Human-in-the-Loop computing. His research has significant impact across multiple domains including smart cities, healthcare applications, industrial IoT, and privacy-preserving technologies. Professor Sá Silva's research interests focus on the intersection of human-centered computing and networked systems. His work particularly emphasizes Human-in-the-Loop Cyber-Physical Systems where humans actively participate in the sensing and decision-making processes. He has pioneered approaches to unobtrusive sensing, privacy-preserving frameworks for IoT applications, and edge-based AI systems that maintain user privacy while delivering intelligent functionality. His research spans theoretical foundations to practical implementations across various application domains including healthcare, smart cities, and industrial automation. His recent publications reveal a strong trend toward integrating edge computing with privacy-preserving AI techniques, particularly federated learning approaches applied to IoT systems. There's a clear progression from foundational networking research toward human-centered applications that address real-world challenges in healthcare, construction, and education. His work consistently bridges theoretical networking concepts with practical implementations in constrained environments, with a growing emphasis on sustainability and ethical considerations in technology design. Throughout his career, Professor Sá Silva has demonstrated strong leadership in academic advising and collaborative research. His publication record shows consistent mentorship of junior researchers, with many co-authored papers featuring doctoral students and early-career researchers. He has secured significant research funding through multiple EU and national projects focused on IoT, cyber-physical systems, and human-centered networking. His collaborative network spans institutions across Europe, South America, and Asia, reflecting the international impact of his work. Professor Sá Silva leads research activities within the networking and IoT group at the University of Coimbra, which maintains strong connections with industry partners in the telecommunications and industrial automation sectors. His team has developed several prototype systems including the Green Bear LoRaWAN-based platform for sustainable cities and the CONFLUENCE integration model for privacy-preserving IoT solutions. The research group maintains state-of-the-art testbeds for IoT experimentation and has been involved in numerous EU-funded research initiatives addressing challenges in the Internet of Things and cyber-physical systems domains.

• Biomedical Engineering
• Machine Learning
• Signal Processing
• +۱۲ مورد دیگر

Abbas Z. Kouzani is a Professor at Deakin University's School of Engineering, specializing in Electrical and Computer Engineering. His research spans interdisciplinary domains including biomedical engineering, artificial intelligence, sensor technology, and embedded systems. Key areas: Machine Learning, Neurotechnology, Sustainable Robotics, Mental Health Analytics Recent work focuses on AI-driven solar defect detection, low-resource FPGA implementations, and 4D-printed robotic joints with reinforcement learning. Collaborations include Sui Yang Khoo, Scott D. Adams, and M. A. Parvez Mahmud.