جست‌وجوی استاد و پژوهشگر

Anne Kohnkeمشاهده پروفایل

دانشیار

• Cybersecurity
• Risk Management
• Digital Forensics
• +۶ مورد دیگر

Anne Kohnke is an Associate Professor of Cybersecurity at the University of Detroit Mercy, where she also serves as Director of the Detroit Mercy Center for Cybersecurity & Intelligence Studies and Principal Investigator for the NSA/DHS Center of Academic Excellence in Cyber Defense (CAE-CD) Program. She transitioned from a 25-year IT career as a Vice President/Chief Information Security Officer to academia in 2019, previously holding a tenured position at Lawrence Technological University. Her academic background includes a Ph.D. in Cybersecurity from Benedictine University and an MBA from Lawrence Technological University. Research focuses on cybersecurity education, cyber resilience, supply chain risk management, and the intersection of cybersecurity with law enforcement and critical infrastructure protection. Key roles include: Co-Chair of the national CAE-CD Community of Practice Member of Evidencing Competency Working Groups Peer-reviewer and mentor for CAE-CD programs Board Member of the Metro-Detroit Vehicle Cybersecurity Institute Recent projects include a grant-funded policing reform initiative with Detroit-area jurisdictions and collaborative work on cybersecurity curriculum standards with ACM/IEEE/AIS/IFIP. She has authored six books and numerous articles on cybersecurity education, risk management frameworks, and ethical cybersecurity practices. Her academic contributions emphasize bridging industry-academia gaps through practical curriculum development and promoting cyber resilience as a national imperative. She actively participates in national cybersecurity initiatives, including NIST framework implementation and critical infrastructure protection strategies.

• Data Science
• Pervasive Computing
• Cloud Computing
• +۷ مورد دیگر

Marco MAMEI is a Full Professor at the Department of Engineering Sciences and Methods (DISMI) of the University of Modena and Reggio Emilia. His research focuses on digital twins, pervasive computing, and smart city technologies. He leads projects like NOUS (European cloud services) and MODENA AUTOMOTIVE SMART AREA, emphasizing Industry 5.0 and human-centric manufacturing. MAMEI teaches courses on Data Science, Pervasive Computing, and Cloud Services in Management and Engineering programs. His work bridges IoT, edge computing, and AI to solve challenges in energy systems, urban mobility, and disaster management. Roles: Full Professor, DISMI Director Affiliations: NOUS Project Lead, MODENA AUTOMOTIVE SMART AREA Research spans: IoT/Edge/Cloud Continuum Digital Twin Entanglement Metrics (ODTE) AI-Driven Telecom Security Smart Grid Optimization Publications (2025): 8+ papers on digital twin applications, accessibility theory, energy forecasting, and pandemic modeling. Recent work emphasizes fluid computing architectures and federated learning in decentralized systems. Teaching includes: Data Science & Management Pervasive Computing Programming Fundamentals Student reception: Mondays 14-17.

Eduard Gröllerمشاهده پروفایل

استاد

• Visual Computing
• Scientific Visualization
• Volume Visualization
• +۵ مورد دیگر

Eduard Gröller is a Full Professor of Visualization at the Vienna University of Technology (TU Wien), leading the Research Unit of Computer Graphics and the Visualization Group within the Institute of Visual Computing & Human-Centered Technology (VC&HCT). He holds adjunct professorships at the University of Bergen, Norway, and chairs several academic committees. His academic journey began with a PhD in 1993 from TU Wien, followed by extensive contributions to visualization research. His research focuses on visual computing, scientific visualization, and medical imaging, with applications in energy modeling, climate analysis, and molecular biology. Gröller has pioneered methods like BEMTrace for BIM-based energy models and HORA 3D for flood risk visualization. He co-authored over 300 publications, including foundational work in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum . Gröller's awards include the IEEE VGTC Technical Achievement Award (2019), Eurographics 2015 Outstanding Technical Contributions Award, and Fellow of the Eurographics Association (2009). He actively contributes to conferences like EuroVis and IEEE Visualization as program chair and reviewer. His educational efforts span courses in visual computing, graphics, and data analysis, with a focus on immersive tools like ImNDT for material data exploration. Current projects include Climate-Sensitive Adaptive Planning for Resilient Cities, Visual Analytics in Radiation Therapy, and scalable web-based visualization techniques. He leads teams in VRVis, a research center for applied visualization, and collaborates internationally on medical imaging and environmental data challenges.

Denis Kalkofenمشاهده پروفایل

دانشیار

• Virtual Reality
• Mixed Reality
• Augmented Reality
• +۵ مورد دیگر

Dr. Denis Kalkofen serves as an Associate Professor at the Institute of Computer Graphics and Vision (ICG) at Graz University of Technology, Austria. His academic journey began with a Dipl.-Ing. (2004) from the University of Magdeburg, followed by a Dr. techn. (2009) from Graz University of Technology. University of Magdeburg - Dipl.-Ing. (2004) Graz University of Technology - Dr. techn. (2009) University of Michigan, Ann Arbor - Virtual Reality Laboratory member Stanford University - Visiting Assistant Professor at Computational Imaging Laboratory (2019) University of South Australia - Visiting Researcher at Wearable Computer Laboratory (2019) Dr. Kalkofen's research centers on developing visualization, interaction, authoring, and display technologies for Virtual and Mixed Reality environments, with particular emphasis on combining computer graphics and computer vision techniques to create comprehensible and accessible VR/MR experiences. His work spans situated visualization (addressing label placement and X-ray visualization), photometric rendering (recovering lighting properties for realistic AR), and content creation automation (leveraging existing data sources for AR content). His publication trends over the past 15+ years demonstrate consistent leadership in AR/MR research, evolving from foundational work on visualization techniques to current cutting-edge research in neural rendering, neuroadaptive systems, and industrial AR applications. Recent work shows increased focus on practical industrial implementations, error management in AR assembly, and multimodal learning applications. Best paper award for 'enRoute: Dynamic path extraction from biological pathway maps' (2012) Best short paper for 'TutAR: Augmented Reality Tutorials for Hands-only Procedures' (2018) Best paper for 'Tools for Teaching Mining Students in Virtual Reality' (2020) Honorable Mention for Best Paper for 'Adaptive User-Perspective Rendering' (2017) Dr. Kalkofen leads Team Kalkofen at ICG, supervising researchers including Peter Mohr, Shohei Mori, David Mandl, and Ana Stanescu. His team has secured significant funding for projects related to AR/VR content creation, visualization techniques, and industrial applications. They maintain strong collaborations with institutions including Stanford University, University of South Australia, and University of Michigan. Team Kalkofen operates within the Institute of Computer Graphics and Vision at TU Graz, focusing on three main research thrusts: situated visualization for AR, photometric rendering for realistic MR, and automated content creation for professional AR applications. The team maintains active partnerships with industry and academic institutions worldwide, contributing to the advancement of practical AR/MR technologies.

Vatsal Maruمشاهده پروفایل

استادیار

• Applied Machine Learning
• Optimization Algorithms
• Scheduling Algorithms
• +۵ مورد دیگر

Vatsal Maru is an Assistant Professor of Instruction in the Department of Information Systems at the Jindal School of Management (JSOM), University of Texas at Dallas. His expertise lies at the intersection of applied machine learning, optimization algorithms, and industrial operations. He holds a PhD in Information Systems (2022), MS (2017), and BE (2013) from Wichita State University and Gujarat Technological University, respectively. His research focuses on leveraging AI and optimization techniques to address complex challenges in supply chain networks, scheduling systems, and cyber-physical frameworks. Key areas include real-time industrial operations, decentralized decision-making, and crisis-resilient logistics. Courses taught include Object-Oriented Programming in Python, Web Analytics, and MIS-related curricula. Maru’s recent work explores deep reinforcement learning applications for aircraft scheduling and vehicle routing optimization, alongside IoT-driven cyber-physical systems for smart manufacturing. His publications emphasize real-world problem-solving, such as improving pandemic-era supply chains and enhancing student outcomes via assessment frameworks. Active in professional organizations like the Society of Manufacturing Engineers and IISE, he bridges academic research with industrial practice. His contributions span over a decade of work in computational intelligence, optimization modeling, and systems design.

• Atmospheric Sciences
• Climatology
• Tropical Cyclones
• +۷ مورد دیگر

Dr. Yuriy Kuleshov is an Adjunct Professor in the School of Science at RMIT University, Australia. His research focuses on atmospheric sciences, climatology of tropical cyclones, and satellite remote sensing applications. He collaborates on projects addressing climate extremes, drought risk assessment, and multi-hazard risk mapping in Australia and the South-West Pacific. His teaching interests include climate change, seasonal climate prediction, and tropical cyclone dynamics. Key research areas include: Assessing tropical cyclone and coastal inundation hazards in Australia Improving satellite-gauge rainfall datasets for hydrological modeling Developing drought early warning systems using machine learning Evaluating vector-borne disease distribution linked to climatic factors Publications from 2022-2023 highlight advancements in: Multi-hazard risk assessment frameworks Statistical interpolation of remote sensing data Seasonal tropical cyclone forecasting techniques GIS-based flood resilience mapping Dr. Kuleshov is open to supervising PhD/Masters students in climate science, remote sensing applications, and disaster risk management. His work bridges environmental data analysis with practical solutions for climate resilience.

• Data Analytics
• Cybersecurity
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Shahriar Kaisar is the Deputy Head of the Department of Accounting, Information Systems and Supply Chain at RMIT University, Australia. He holds a PhD from Monash University and a master's degree from the University of Saskatchewan. His research focuses on data analytics, cybersecurity, AI, health informatics, ad-hoc networks, and emerging technologies. Dr. Kaisar has held academic roles in Australia, Canada, and Bangladesh. Research Interests: His work spans generative AI in education, cyberthreat detection, health informatics, and decentralized networking. Notable projects include frameworks for cybersecurity in power grids and AI-driven decision-making systems. Teaching & Supervision: He supervises PhD students on topics like platform economy value creation and AI-driven cybersecurity. Taught courses include Digital Business Security, Practical Cybersecurity in Business, and Networking in Business. Awards: No specific awards are listed, but his work appears in top-tier journals such as Journal of Information Security and Applications and Future Generation Computer Systems . Collaborations: Active in global research networks, with a focus on interdisciplinary projects involving industry 5.0, sustainable cities (UN SDG 11), and smart infrastructure.

Mark van der Meijdeمشاهده پروفایل

استاد

• Earth Sciences
• Geophysics
• Satellite Geophysics
• +۶ مورد دیگر

Mark van der Meijde is a Full Professor of Geophysics at the University of Twente, leading the Department of Earth Systems Analysis (ITC-ESA). His research focuses on Earth structure imaging through satellite geophysical sensors, with expertise in crustal dynamics, seismic methods, and geohazard analysis. He holds an MSc from Utrecht University and a PhD from ETH Zurich. Research interests include satellite geophysics integration, seismic imaging, and applications in resource exploration and disaster risk reduction. Key contributions include the ECM24 global crust model and studies on crustal composition in Africa and the Mediterranean. He has supervised 14 academic works and contributed to datasets on geothermal manifestations and landslide monitoring. Notable awards include the 2017 ECIU European award for Innovation in Teaching and Learning. His work aligns with UN Sustainable Development Goals related to climate action and clean energy. Recent activities include organizing the NEEDS conference and presenting on crustal imaging techniques. Labs/Teams: Active in the Earth Systems Analysis department at ITC, leading projects on seismic tomography, unmanned geophysical sensing, and global crustal modeling.

Tomonari Furukawaمشاهده پروفایل

استاد

• Robotics
• Computational Mechanics
• Autonomous Systems
• +۳ مورد دیگر

Tomonari Furukawa is a Professor and Zinn Faculty Scholar at the University of Virginia, leading the VICTOR Lab. He holds a B.Eng. in Mechanical Engineering from Waseda University (1990), an M.Eng. in Mechatronic Engineering from the University of Sydney (1993), and a Ph.D. in Quantum Engineering and Systems Science from the University of Tokyo (1996). His research focuses on robotics, computational mechanics, autonomous systems, and advanced sensor technologies. He has published over 300 papers, contributed to editorial boards, and secured grants such as the U.S. DOD DURIP grants for advanced research infrastructure. His work spans topics like autonomous robotic mapping, sensor fusion, and real-time deformation measurement for automotive safety. He has developed systems for tire tread profiling, crash deformation analysis, and 3D road surface reconstruction. Furukawa’s methodologies often integrate Bayesian approaches, neural networks, and multi-sensor data fusion to solve complex engineering challenges. His contributions to the NSF I/UCRC Centre for Tire Research highlight his impact on applied mechanics. Recipient of multiple career and paper awards, Furukawa emphasizes translational research. His VICTOR Lab explores cutting-edge robotics, including compliant bipedal designs for disaster response (e.g., DARPA Robotics Challenge) and autonomous navigation systems. Current projects leverage AI and advanced vision systems for infrastructure monitoring and human-robot collaboration.

• Forest Hydrology
• Global Change
• Environmental Science
• +۳ مورد دیگر

Ge Sun is an Adjunct Professor in the Department of Forestry and Environmental Resources at North Carolina State University, affiliated with the USDA. His expertise focuses on forest hydrology and global change, with research emphasizing ecosystem responses to climate variability, water-carbon interactions, and wetland degradation. Sun’s work integrates remote sensing, ecohydrological modeling, and field data to address critical environmental challenges such as water resource management, carbon sequestration, and forest resilience under global change. His research spans diverse ecosystems including southeastern US forests, Himalayan watersheds, and coastal wetlands, with a particular emphasis on quantifying hydrological processes, methane emissions, and the impacts of urbanization/afforestation on water and carbon cycles. Sun collaborates with interdisciplinary teams to develop decision-support tools for climate-smart forestry and sustainable water management. Key contributions include modeling inter-basin water transfers, evaluating forest restoration benefits for water yield, and advancing methods for gap-filling soil respiration data in wetlands. His publications highlight the importance of structural diversity in carbon storage, the coupling of ecosystem productivity and evapotranspiration, and the vulnerability of coastal wetlands to sea-level rise. Awards and recognitions are unspecified, though his extensive publication record and USDA affiliation suggest active engagement in federal research initiatives. Sun’s advising and grants focus on ecohydrological modeling, with projects supported by agencies like the USDA Forest Service and NOAA. He leads efforts in the Center for Geospatial Analytics and collaborates with experimental forests such as Coweeta and the Southern Appalachian Mountains.

Jennifer Palmerمشاهده پروفایل

دانشیار

• Humanitarian Health
• Social Science in Health
• Neglected Tropical Diseases
• +۷ مورد دیگر

Dr. Jennifer Palmer is an Associate Professor in the Department of Global Health and Development at the London School of Hygiene & Tropical Medicine (LSHTM). She is affiliated with the Faculty of Public Health and Policy and is a founding director of LSHTM's Health in Humanitarian Crises Centre. She holds a PhD and MSc in Control of Infectious Diseases from LSHTM, and a BSc in Microbiology & Immunology from McGill University. Her research focuses on health programming in humanitarian crises across East, Central, and West Africa, particularly South Sudan and Uganda. Her research spans infectious disease control (especially cutaneous leishmaniasis, Buruli ulcer, leprosy, and human African trypanosomiasis), refugee health, gender-based violence, mortality estimation in crises, and social dimensions of epidemic response. She leads key initiatives including the Social Science in Humanitarian Action Platform and the Skin Health African Research Programme. Palmer's publications demonstrate a strong focus on humanitarian health systems, social science applications in crises, and neglected tropical diseases. Her recent work addresses health governance in conflict zones, refugee health worker integration, skin NTD interventions, GBV coordination, and community-based surveillance systems. She teaches extensively on the MSc Control of Infectious Diseases program and modules covering conflict and health, humanitarian program management, and neglected tropical diseases. Dr. Palmer supervises doctoral research on humanitarian coordination, epidemic decision-making, and health worker roles in crisis settings.

• AI at the Edge
• Low Power Embedded Systems
• Reliable and Secure Computing
• +۸ مورد دیگر

Emanuel Popovici is a Senior Lecturer in Electrical and Electronic Engineering at University College Cork (UCC), Ireland. He holds a Dipl. Ing. in Computer Engineering from the University Politehnica Timisoara, Romania, and a PhD in Microelectronics from UCC. His research focuses on AI at the edge, low-power embedded systems, and secure computing, with applications in healthcare, energy, and IoT. Notable projects include award-winning work in neonatal EEG monitoring, smart beehive systems, and energy-efficient wireless nodes. He has authored over 250 papers and received prestigious awards like the Qualcomm Faculty Award (2024) and three IEEE/IBM Smarter Planet Challenge titles. Education: Dipl. Ing. in Computer Engineering, University Politehnica Timisoara (Hardware Design focus) PhD in Microelectronics, UCC (National Microelectronics Research Centre) Research interests span AI-driven hardware, secure communications, and interdisciplinary collaborations across engineering, medicine, and environmental science. His work emphasizes practical solutions for real-world challenges, such as energy-efficient sensor networks and medical diagnostic tools. Scientific achievements include over 50 awards, including the Reed and Mallick Medal (2020) for urban planning contributions. His lab pioneered innovations like the neonatal EEG sonification system and blockchain-based IoT security frameworks. Collaborative projects span disciplines like anatomy, medicine, physics, and business. His group's work on ultra-low-power wireless nodes and FPGA-based cryptographic processors highlights their focus on energy efficiency and reliability.

Federico Lauroمشاهده پروفایل

دانشیار

• Marine Microbial Ecology
• Environmental Genomics
• Biogeochemical Cycling
• +۴ مورد دیگر

Assoc Prof Federico Lauro is a marine microbial ecologist formally affiliated with Nanyang Technological University (NTU) through its Asian School of the Environment. His research focuses on microbial communities in marine environments, particularly in the Indian Ocean, leveraging environmental genomics and innovative technologies to study ecological connectivity and microbial adaptation. He leads the Singapore Laboratory for Integrative Microbial Ecology (S.L.I.M.E. Lab), which investigates topics ranging from deep-sea corrosion mechanisms to the application of environmental DNA (eDNA) in paleoenvironmental studies. Lauro holds a PhD from the Scripps Institution of Oceanography and has pioneered interdisciplinary approaches combining microbiology with engineering. Notably, he previously collaborated with Singapore Centre for Environmental Life Sciences Engineering (SCELSE) and Nanyang Environment & Water Research Institute (NEWRI). Despite his academic achievements, he is no longer with NTU. Beyond academia, Lauro is an accomplished sailor with international championships and extensive oceanic racing experience. Education: Bachelor's Degree from University of Padua, Italy PhD from Scripps Institution of Oceanography (UC San Diego) Research Interests: Marine microbiome dynamics under environmental stressors Microbial contributions to biogeochemical cycles Development of genomic tools for microbial ecology analysis Applications of eDNA in paleoenvironmental reconstruction Labs/Teams: Leads the S.L.I.M.E. Lab at NTU, collaborating with interdisciplinary centers like SCELSE and NEWRI to address environmental challenges through microbial solutions.

• Earth Observation
• Remote Sensing
• Hydrological Modelling
• +۶ مورد دیگر

Dr. Mahdiyeh Razeghi is a Lecturer in Surveying and Spatial Science at the University of Southern Queensland (UniSQ), affiliated with the School of Surveying and Built Environment. Her research focuses on integrating Earth observation satellites (e.g., GRACE, GNSS, InSAR) with hydro-climate models to study water resources, land deformation, groundwater depletion, and climate change impacts. She holds a PhD from the University of Newcastle (2020) and has held roles including Research Fellow at the Australian National University (ANU) and Postdoctoral Fellow at ANU's Research School of Earth Sciences. Her expertise spans satellite gravimetry, GNSS-IR for soil moisture, drought resilience, and groundwater storage estimation. Key projects include the Great Artesian Basin (GAB) study with Geoscience Australia and innovative methodologies published in AGU’s Eos magazine. She is affiliated with the Centre for Sustainable Agricultural Systems and the Institute for Resilient Regions, emphasizing agricultural drought adaptation. Research outputs include over 20 peer-reviewed articles since 2011, with recent work addressing Australia’s flood events, coal seam gas impacts on groundwater, and GRACE Follow-On mission analyses. Her work bridges geodesy, environmental remote sensing, and climate-driven water sustainability, with industry applications in rural resilience strategies. Professional memberships include the European Geosciences Union (EGU) and American Geophysical Union (AGU). Her teaching interests align with digital twins and GNSS technologies, reflecting her commitment to advancing geospatial education and applied research.

Roberto Tognettiمشاهده پروفایل

استاد

• Forest ecophysiology
• Climate-smart forestry
• Tree growth
• +۴ مورد دیگر

Roberto Tognetti is a Full Professor at the Free University of Bolzano within the Faculty of Agricultural, Environmental and Food Sciences. His research bridges forest ecophysiology and ecosystem-level processes to address climate change impacts on mountain forests. MSc in Forest Science, University of Florence PhD in Plant Ecophysiology, Trinity College Dublin His work focuses on forest ecophysiology , tree growth dynamics , and climate-smart forestry . He studies how trees interact with environmental disturbances, integrating biological mechanisms and ecosystem functions across spatial-temporal scales. Current projects emphasize forest restoration in degraded areas and sustainable management of mountain forests. Recent publications highlight his contributions to: Understanding climate-growth relationships in European beech Assessing resilience in mixed-species forests Developing remote sensing tools for biodiversity monitoring Modeling carbon fluxes in coniferous ecosystems He has led initiatives like the EFI Project Centre on Mountain Forests (MOUNTFOR) and the COST Action CA15226 Climate-Smart Forestry , shaping pan-European sustainable management frameworks.