جست‌وجوی استاد و پژوهشگر

• Data Governance
• AI Ethics
• Data Protection
• +۴ مورد دیگر

Dr. Rob Brennan is an Assistant Professor in the School of Computer Science at University College Dublin. With 25 years of academic and industry experience, he specializes in data governance, AI ethics, and cybersecurity. His research integrates socio-technical systems analysis, data protection frameworks, and healthcare risk management. He leads the Value and Risk research challenge within the ADAPT Centre's Transparent Digital Governance initiative and coordinates projects like the ARK platform for risk governance. Education: BSc in Physics, Dublin City University MSc, Queen's University Belfast PhD in Governance, Dublin City University Professional Diploma in University Teaching and Learning, University College Dublin Research Interests: Data Governance & AI Accountability GDPR Compliance & Privacy Engineering Healthcare Risk Management Knowledge Graphs & Linked Data Cybersecurity & Incident Response Key Contributions: Co-PI of Science Foundation Ireland's Empower Data Governance project Coordinator of the €4M H2020 ALIGNED project on software/data engineering Developed the ARK platform for risk governance in healthcare and cybersecurity Grants & Awards: Best Paper Award at Extended Semantic Web Conference 2023 Principal Investigator for grants including the ARK-Virus platform (SFI-funded) Teaching & Mentorship: Coordinates courses on Cyber Risk Assessment, Incident Response, and Data Protection Supervises PhD students focusing on data governance and AI ethics Co-developed the MA in Data Protection and Privacy Law with Computing Professional Activities: Member of FAccT 2023 Program Committee Co-chair of the Irish Conference on Artificial Intelligence and Cognitive Science Contributor to international standards (OMG, IETF, 3GPP)

Vitor S. Martinsمشاهده پروفایل

استادیار

• Remote Sensing
• Water Quality
• Deep Learning
• +۵ مورد دیگر

Dr. Vitor S. Martins is an Assistant Professor in the Department of Agricultural and Biological Engineering at Mississippi State University (MSU). He leads the Geospatial Computing for Environmental Research (GCER) Lab , focusing on satellite remote sensing, deep learning, and environmental monitoring. His research integrates Earth observation data with AI to advance digital agriculture, water resource management, and climate resilience. Education: Ph.D., Agricultural and Biosystems Engineering, Iowa State University M.Sc., Remote Sensing, Brazilian Institute for Space Research (INPE) B.Sc., Agriculture and Environmental Engineering, Federal University of Viçosa Research Interests: Remote sensing of water quality and pollution Land cover/land use change mapping Satellite and aerial image processing Soil & water conservation engineering Deep learning for geospatial data analysis Climate change impacts on environmental systems Recent Research Trends (Articles): His work emphasizes algal bloom monitoring , crop type mapping , and global water transparency using advanced satellite platforms like Sentinel-2/3 and Landsat. He also develops frameworks for burned area mapping and soil spectral analysis , leveraging cloud computing and AI-driven models. Awards & Honors: 2019 Reverent P.T. Taiganides Award (Outstanding Ph.D. Student) 2019 Harold & Katherine Guy Fellowship (Soil & Water Conservation Research) 2012 CAPES-FIPSE International Exchange Award Lab & Collaborations: The GCER Lab collaborates with multiple institutions to promote AI solutions for agriculture and water management. Projects include developing AlgaeMap for Latin American water quality monitoring and creating scalable frameworks like FieldSeg for agricultural field extraction.

Narendra Goelمشاهده پروفایل

استاد

• Computational Modeling
• Computer Simulation
• Remote Sensing
• +۲ مورد دیگر

Narendra Goel is Professor of Computer Science at Wayne State University's James and Patricia Anderson College of Engineering. His research spans computational modeling of physical, biological, and engineering systems, with applications in computer graphics and remote sensing of vegetation. Research interests focus on: Simulation frameworks for ecological and biological systems Remote sensing algorithms for vegetation analysis Theoretical foundations of computer modeling Publications demonstrate long-standing expertise in radiative transfer modeling (2000-2004) and computational biology (1972-2013). Current teaching includes Introduction to Computer Science (CSC1000), Fundamental Structures in Computer Science (CSC1500), and Introduction to Theoretical Computer Science (CSC4500). Contact at aa2671@wayne.edu or Google Scholar profile.

Scott Brameمشاهده پروفایل

عضو هیئت علمی

• Environmental Geology
• GIS Applications
• Hydrogeology
• +۳ مورد دیگر

Scott Brame is a Research Assistant Professor at Clemson University's Department of Environmental Engineering and Earth Sciences. He specializes in applying spatial analysis techniques and GIS to address environmental and geological challenges. His work includes real-time spatial analysis applications, such as modeling constructed wetlands for water treatment, gas storage cavern feasibility, and aquifer systems. Brame holds an M.S. in Hydrogeology (Clemson University, 1993) and a B.S. in Geologic Engineering (New Mexico Tech, 1983). Education: M.S., Hydrogeology, Clemson University, 1993 B.S., Geologic Engineering, New Mexico Institute of Mining and Technology, 1983 His research interests span environmental geology, GIS applications, hydrogeology, and spatial modeling. He has developed innovative methods for integrating geocaching and virtual reality into geoscience education, enhancing experiential learning. His projects often involve collaborations with industry and government agencies, such as the U.S. Department of Energy, focusing on carbon storage and subsurface resource management. Publications highlight his contributions to education technology, environmental contamination analysis, and reservoir engineering. His work on PCB contamination in Lake Hartwell and gas storage cavern design showcases interdisciplinary applications of GIS and statistical methods. Awards: Vincent E. Nelson Memorial Award, AAPG Eastern Section (2004) Clemson University Board of Trustees Faculty Excellence Award (2006) Brame advises students through courses like GEOL 4210 GIS Applications in Geology and GEOL 4750 Summer Geology/Hydrogeology Field Camp . His research is supported by grants from the Gas Storage Technology Consortium and U.S. DOE, totaling over $6M in funding for geophysical monitoring technologies and subsurface storage innovations. His involvement with laboratory teams includes the HydroMechanics Research Group, focusing on CO2 storage monitoring and subsurface strain analysis. Future work emphasizes advancing optical fiber sensor technologies for real-time geophysical data collection.

Jennifer H. Ogleمشاهده پروفایل

استاد

• Transportation Safety
• Driver Behavior
• Instrumented Vehicle Studies
• +۵ مورد دیگر

Jennifer H. Ogle is a Professor and Chair of the Civil Engineering Department at Clemson University. She teaches courses in transportation engineering, including CE 3110 Transportation Engineering , CE 4110/6110 Roadway Geometric Design , and CE 8150 Traffic Safety Engineering . Her research focuses on transportation safety, driver behavior, crash reconstruction, and the application of GPS/GIS tools in transportation systems. Education: B.S., Civil Engineering, 1994, University of Tennessee M.S., Civil Engineering, 1996, University of Tennessee Ph.D., Civil Engineering, 2005, Georgia Tech Research Areas: Dr. Ogle’s work integrates transportation safety , instrumented vehicle studies , and intelligent vehicle systems , emphasizing safety-conscious planning and causal analysis of crashes. She leverages large datasets and geospatial evaluation tools to advance roadway design and traffic engineering solutions. Professional Contributions: Active in promoting women in engineering through USDOT and WTS International mentorship programs Faculty Director of Engage Dominica , an international education initiative Member of professional societies: American Society of Civil Engineers, Institute of Transportation Engineers (ITE), Society of Automotive Engineers (SAE), and Transportation Research Board (TRB) Honors: Champion of Change for Women in STEM (2012), awarded by President Obama

Luca Di Gasperoمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Combinatorial Optimization
• Metaheuristics
• +۱ مورد دیگر

Luca Di Gaspero is an Associate Professor of Information Technology at the University of Udine, specializing in metaheuristic optimization techniques. His research enhances combinatorial optimization through hybridization of algorithms for scheduling, routing, and industrial applications. Research spans artificial intelligence in optimization, scheduling algorithms for manufacturing/healthcare, and metaheuristic framework development. Recent publications focus on LLMs in optimization, parallel batch scheduling, and energy-efficient manufacturing. Key Contributions: Developed EasyLocal++ framework for local search algorithms Advanced multi-neighborhood simulated annealing techniques Applied metaheuristics to healthcare logistics and emergency services

Jenny Galesمشاهده پروفایل

دانشیار

• Hydrography
• Ocean Exploration
• Antarctic Continental Margin Processes
• +۴ مورد دیگر

Dr. Jenny Gales is an Associate Professor in Hydrography and Ocean Exploration at the University of Plymouth's School of Biological and Marine Sciences. She leads the BSc Ocean Exploration and Surveying program and serves as Deputy Lead for the MSc Hydrography program. Her research focuses on Antarctic continental margin processes, submarine landslides, glacial dynamics, and marine robotics applications. She has participated in major expeditions including IODP Expedition 374 to the Ross Sea and the Coordinated Canyon Experiment in collaboration with MBARI. Education includes a PhD at the British Antarctic Survey, postdoctoral work at the National Oceanography Centre, and academic exchanges at the Arctic University of Norway and Statoil ASA. Her technical expertise spans marine geophysics, bathymetry, and the use of ROVs/AUVs for seafloor mapping. Research interests emphasize ice-sheet stability, submarine canyon geomorphology, and sediment transport mechanisms. Recent work integrates seismic data, core samples, and oceanographic models to understand Antarctic margin evolution. Over 50 peer-reviewed articles address topics like turbidity currents, contourite drifts, and climate-driven sediment processes. Teaching responsibilities include modules on marine mapping, coastal surveying, and energy exploration. Supervised PhD student Maxine King completed a study on Ross Sea continental margin dynamics. Active in international collaborations, she contributes to the International Bathymetric Chart of the Southern Ocean (IBCSO) and has advised on offshore glacial reconstructions in Scotland. Her lab work involves advanced sensor networks and autonomous systems for deep-sea monitoring. Current projects include analyzing Antarctic submarine landslide triggers and preparing for upcoming expeditions to study ice-sheet margin interactions.

Marco Aldinucciمشاهده پروفایل

استاد

• Parallel Computing
• High-Performance Computing (HPC)
• Cloud Engineering
• +۷ مورد دیگر

Marco Aldinucci is a Full Professor and Head of the Parallel Computing group at the University of Torino's Computer Science Department. He leads the HPC Key Technologies and Tools (HPC-KTT) national lab under CINI, involving 38 Italian universities. His expertise spans parallel programming models, HPC systems, federated learning, and energy-efficient computing. Aldinucci has secured over €10M in EU research funding, contributed to frameworks like Fastflow and Streamflow, and pioneered initiatives like the HPC4AI lab and the CINI HPC-KTT lab. His research focuses on advancing exascale computing, cloud-HPC integration, and AI-driven medical solutions. Notable projects include the Gaia AVU-GSR solver for exascale systems and the DeepHealth Toolkit for medical AI. He has held governance roles in EuroHPC and chairs the Observatory on Trends and Applications of Supercomputing in Italy. Aldinucci’s publications (150+) address parallel algorithms, distributed learning, and sustainable HPC infrastructure. His work has been recognized with awards from HPC Advisory Council, NVIDIA, IBM, and Autodesk. Current initiatives include the Software & Integration lab at the Italian National HPC Centre (ICSC) and leadership in the OpenScience working group at Torino. His advising includes Iacopo Colonelli, whose thesis won CINI’s 2023 best award. He actively engages in EU projects, workflow systems, and standards for hybrid computing environments. Aldinucci’s labs and collaborations drive innovations in HPC portability, energy efficiency, and AI scalability.

• Energy Efficiency in Maritime Systems
• Renewable Energy Modeling
• Solar Power Forecasting
• +۳ مورد دیگر

Mohamed Abuella is a Research Fellow at Northumbria University's School of Engineering Physics and Mathematics, specializing in energy efficiency and renewable energy systems. His work bridges maritime engineering with data analytics and machine learning. Educational Background: PhD (expected 2099) His research focuses on Time-Series Analysis for maritime energy optimization, Renewable Energy Modeling (wind and solar), and Machine Learning Applications in power forecasting. Recent publications highlight advancements in sustainable shipping and solar/wind energy systems. Key trends in his recent articles include Explainable AI for maritime efficiency, Hybrid Forecasting Models for renewable energy, and Geospatial Analysis for vessel navigation. Notable collaborations span energy analytics and maritime technology domains.

• Information Visualization
• Visual Analytics
• Human-Computer Interaction
• +۸ مورد دیگر

Paolo Buono is Associate Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy. He holds a PhD in Computer Science with specialization in Visual Data Analysis. His research focuses on Information Visualization, Visual Analytics, Human-Computer Interaction, and Mobile Applications. Co-founder and CEO of LARE (2010), a university spinoff providing real-time surgical support through audio-video telestration Member (since 2002) and computer science coordinator at METEA Research Center for environmental protection Visiting scientist at AVIZ (France), University of Maryland (USA), and Fraunhofer IPSI (Germany) His work spans multiple application domains including: Cultural Heritage through interactive exploration systems Healthcare with smart therapeutic devices Environmental Monitoring via CET system IoT-based Smart Interactive Experiences He has contributed to: Dynamic hypergraph visualization techniques End-User Development frameworks (EUDroid) Usability evaluation methodologies Mobile health applications As project leader, he has coordinated: EU-funded VisMaster Coordination Action (2008-2010) Italian Ministry-funded LOGIN project (2014-2015) Apulia Region environmental projects His professional engagements include: Co-chair roles at INTERACT, AVI, IS-EUD conferences Program committee participation in VIS series and HCI conferences Member of ACM, IEEE, and SIGCHI Italy

Shane Halseمشاهده پروفایل

استادیار

• Crisis Response
• Social Media Technologies
• Emergency Communication
• +۳ مورد دیگر

Shane Halse is an Assistant Professor at the University of Cincinnati in the School of Information Technology , specializing in crisis response and social media technologies for emergency communication. PhD in Information Science and Technologies, Pennsylvania State University (2019) MSE in Software Engineering, Pennsylvania State University (2014) BSP in Psychology and BSEE in Electrical Engineering, University of Central Florida (2008, 2011) His research focuses on enhancing emergency responders' decision-making through social media data analysis , trust detection , and information filtering during disasters. He has contributed to frameworks for multimedia emergency protocols and hyperlocal data collection . Recent publications analyze crisis social media dynamics (e.g., retweetability, trust metrics, sensor data integration), reflecting his expertise in sociotechnical systems for disaster management. Grants include collaborations with the National Science Foundation and Texas Tech University on Next-Generation 911 training and technology. Key contributions appear in journals like Information, Communication & Society and conferences such as ISCRAM and Hawaii International Conference on System Sciences .

Ali Khosraviمشاهده پروفایل

استادیار

• Bioinspired Geotechnics
• Thermo-hydro-mechanical Processes
• Soil-Structure Interaction
• +۳ مورد دیگر

Ali Khosravi is an Assistant Professor in the Department of Civil and Environmental Engineering at Auburn University, specializing in bioinspired geotechnics and geomechanics. His work integrates advanced materials science, remote sensing, and computational modeling to address challenges in infrastructure resilience, climate change impacts, and sustainable geotechnical systems. He holds a Ph.D. from the University of Colorado Boulder and degrees from Sharif University of Technology. Research focuses include: Thermo-hydro-mechanical processes in soils and fractured rocks Soil-structure interaction for seismic and environmental applications Robotics-inspired probes for subsurface exploration Permafrost degradation under climate change Energy geosystems and geothermal applications Recent projects involve collaborating with the National Center for Additive Manufacturing Excellence (NCAME) to develop underground installation robots, assessing Arctic permafrost stability with multi-disciplinary teams, and using InSAR remote sensing to monitor infrastructure like levees and highways. His research bridges geotechnical engineering with emerging technologies like machine learning and bioinspired design. Grants and collaborations include Auburn Engineering’s Kiemyung University travel grant for international research partnerships. His lab focuses on innovative solutions for geohazards, energy efficiency, and smart infrastructure systems.

Hy Truong Sonمشاهده پروفایل

استادیار

• Artificial Intelligence
• Deep Learning
• Drug Discovery
• +۶ مورد دیگر

Dr. Hy Truong Son is an Assistant Professor in the Department of Computer Science at the University of Alabama at Birmingham (UAB), affiliated with the College of Arts and Sciences. He holds a Ph.D. in Computer Science from the University of Chicago and has prior experience as a Lecturer and Postdoctoral Fellow at the Halicioglu Data Science Institute, UC San Diego. His research focuses on AI-driven solutions for science and engineering, particularly deep learning applications in drug discovery, repurposing, and biomedical problem-solving through his HySonLab group. Dr. Son’s educational background includes a Ph.D. from the University of Chicago, emphasizing foundational training in computer science. His postdoctoral work at UC San Diego further solidified his expertise in data science and interdisciplinary AI applications. Research interests span AI for drug discovery, generative AI, multimodal learning, and healthcare technologies. His lab’s work integrates AI with molecular biology, medical imaging, and wearable sensor data to address challenges in precision medicine and environmental science. Notable projects include DrugPipe for drug repurposing and SilVar-Med for explainable medical imaging analysis. His recent publications highlight advancements in generative models, speech synthesis, protein design, and scalable graph neural networks. These works reflect a focus on bridging AI with real-world biomedical and engineering applications. While no awards are explicitly listed, his prolific publication record and active lab indicate significant contributions to the field. He advises students and engineers in his team, fostering collaborative research environments. Ongoing projects include wearable device datasets for mental health and multimodal biomedical knowledge graph development. Dr. Son’s HySonLab group emphasizes translational research, aiming to deploy AI solutions in clinical and scientific settings. Current efforts include optimizing molecular interactions via large language models and enhancing drug discovery pipelines through interdisciplinary computational methods.

Wesley C. Zechمشاهده پروفایل

استاد

• Construction Engineering
• Erosion and Sediment Control
• Project Management
• +۴ مورد دیگر

Wesley C. Zech is a Professor in the Department of Civil, Construction, and Environmental Engineering at the University of Alabama at Birmingham (UAB). He also serves as the Director of the Online Master's in Engineering in Construction Engineering Management. Previously, he held the position of Brasfield and Gorrie Professor of Construction Engineering and Management at Auburn University. His research focuses on construction engineering methodologies, erosion and sediment control, project management, safety, and the application of unmanned aerial systems (UAVs) in construction site inspections. Dr. Zech earned his B.S., M.E., and Ph.D. in Civil Engineering from the University at Buffalo. His professional experience includes collaboration with state transportation departments (e.g., Alabama and Ohio DOTs) to develop practical erosion control solutions. He pioneered the Auburn University Erosion and Sediment Control Testing Facility, which evaluates full-scale performance of erosion control practices like silt fences, ditch checks, and sediment basins. His current research emphasizes sediment barrier system performance, UAV-based site inspections, and rainfall simulator design for erosion control evaluation. He has published extensively on topics including construction safety, work zone safety, and geospatial analysis of occupational injuries. His teaching spans construction equipment, project management, and sustainable design. Zech’s contributions include developing methodologies for liquidated damages calculation in construction contracts and optimizing road user cost analyses. His work bridges academic research and industry application, with a focus on environmental sustainability and safety in construction practices.

• Artificial Intelligence
• Geospatial Data Science
• Knowledge Graphs
• +۵ مورد دیگر

Professor Manolis Koubarakis is a faculty member at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His research focuses on geospatial data science, knowledge graphs, entity resolution, and AI applications in Earth observation. He leads projects like ExtremeEarth and Plato, advancing semantic data cube systems and geospatial question answering engines. His work bridges AI and geospatial technologies, with contributions to frameworks like pyJedAI and Strabo 2 for managing big geospatial data. Research Interests include: Geospatial Question Answering Systems Entity Resolution and Entity Linking Ontology-Based Data Access (OBDA) Knowledge Graph Construction and Applications Earth Observation Data Analytics AI for Geoinformatics Notable Projects: ExtremeEarth: Combines Copernicus satellite data with machine learning for environmental analytics. Plato: Semantic data cube system enabling advanced querying of multidimensional datasets. GeoQA2: A geospatial question answering engine evaluated on large benchmarks. JedAI Family: Tools for scalable entity resolution in structured/semi-structured data. His publications span 20+ years, with recent emphasis on: AI-driven Earth observation systems Geospatial RDF benchmarking 3D geospatial interlinking Large language models for legal and health content delivery