جست‌وجوی استاد و پژوهشگر

• Medical Imaging
• Computed Tomography (CT)
• X-ray Simulation
• +۴ مورد دیگر

Dr. Franck Patrick Vidal is an Honorary Professor at Bangor University's School of Computing and Engineering, with additional affiliations at the Science and Technology Facilities Council. He holds a PhD in Computer Science and has extensive experience in medical imaging, visualization, and simulation. His research focuses on X-ray imaging, computed tomography (CT), and high-performance computing applications in medical physics. He has contributed to developing open-source tools like gVirtualXray for real-time X-ray simulations and has been involved in projects addressing large-scale emergency response visualization (RAMPVIS). Education includes a PhD from Bangor University (2008), a Master's from Teesside University (2002), and a Postgraduate Certificate in Higher Education (2016). He has held roles such as Senior Lecturer and Postdoctoral Research Fellow at institutions like Inria and CEA Saclay. His research interests span medical imaging technologies, optimization algorithms, and the application of artificial intelligence to healthcare. Notable awards include the 'Best Poster Presentation' and the 'David Duce Prize'.

Daniel Gillisمشاهده پروفایل

دانشیار

• Ecological and Public Health Risk Assessment
• Community-Engaged Software Design
• Bridging the Digital Divide
• +۷ مورد دیگر

Dr. Daniel Gillis is an Associate Professor in the School of Computer Science at the University of Guelph. He specializes in transdisciplinary research addressing ecological and public health challenges, community-engaged software design, and educational pedagogy. His work emphasizes collaboration across disciplines and communities, notably through projects like Farm to Fork (food security), ICON (transdisciplinary classroom), and the Wireless Mobile Mesh Network initiative to bridge Canada’s digital divide. Gillis holds a PhD in Statistics from the University of Guelph (2010) and has been recognized with awards including the Ontario Confederation of University Faculty Associations Teaching Award (2019) and a $2.13M MITACS grant (2018). Education & Employment: PhD in Statistics, University of Guelph (2010) Joined University of Guelph School of Computer Science in 2011 Research Themes: Agent-based modeling for ecological risk assessment Community-led tech solutions in Indigenous communities Transdisciplinary education frameworks (e.g., ICON program) Climate change adaptation via integrated monitoring systems (eNuk program) Grants & Awards: MITACS Accelerate Grant ($2.13M, 2018) Science Borealis 100 Voices recognition (2016) Teaching Excellence Award (2019) Advising & Partnerships: Collaborations with Public Health Agency of Canada, Statistics Canada, Inuit communities in Labrador Advisor for undergraduate and graduate research projects (e.g., phishing detection, land observation tools) Labs & Teams: ICON Transdisciplinary Classroom Wireless Mobile Mesh Network Research Group Rigolet Inuit Community Monitoring Initiative

Wayne Chris Henryمشاهده پروفایل

استادیار

• Cybersecurity
• Offensive Cybersecurity
• Software Reverse Engineering
• +۷ مورد دیگر

Lt Col Wayne Chris Henry is an Assistant Professor in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology (AFIT), part of Air University. He is actively engaged in teaching, research, and leadership in cybersecurity, particularly in space systems and offensive cyber operations. Education: Ph.D., Electrical Engineering, Air Force Institute of Technology, 2020 M.S., Computer Engineering, Air Force Institute of Technology, 2011 B.S., Computer Engineering, Pennsylvania State University, 2004 His research focuses on cutting-edge cybersecurity challenges, including software reverse engineering, vulnerability analysis, IoT/embedded security, and human-machine teaming. He emphasizes practical applications in military and space contexts, aiming to strengthen cyber resilience in critical infrastructure. The most recent articles show a strong trend in space system cybersecurity, secure data distribution (DDS-Cerberus), satellite intrusion detection, and offensive cyber techniques like ROP attacks and script smuggling. His work bridges theoretical analysis with operational defense strategies. Scientific Awards: 2023 Field Grade Officer of the Year - Air University 2023 Graduate School of Engineering Management Dean's Distinguished Professor Award 2022 Field Grade Officer of the Quarter - AFIT 2019 Inducted into Tau Beta Pi (Top 20% students) 2019 Inducted into Eta Kappa Nu (Top 33% students) He mentors numerous students and researchers, particularly through collaborative publications and leadership in AFIT's first Capture the Flag team. While specific grants are not listed, his extensive publication record in defense and cybersecurity suggests active involvement in funded research projects. He is also deeply involved in cybersecurity education and curriculum development for military professionals. Dr. Henry leads and contributes to research teams focused on space cybersecurity, software analysis, and cyber education. His lab work includes developing testbeds for satellite security, designing intrusion detection scenarios, and analyzing cyber threats in RF SATCOM and embedded environments.

• Multi-Robot Systems
• Robotics
• Cooperative Robotics
• +۷ مورد دیگر

Luís Henrique Ramilo Mota is an Assistant Professor in the Department of Information Science and Technology (ISTA) at ISCTE – Instituto Universitário de Lisboa. His research lies at the intersection of robotics, multi-agent systems, and artificial intelligence, with a strong focus on cooperative robotics and robotic soccer applications. His primary research interests include: Multi-Robot Coordination Setplays-based Planning Ontology Engineering for Agent Systems Semantic Web Technologies RoboCup Simulation and Mixed Reality Distributed Autonomous Systems Mota’s recent scholarly work centers on developing flexible coordination mechanisms for robotic teams, particularly through the Setplays framework, enabling robust and dynamic behavior in competitive environments like RoboCup. His publications span high-impact journals such as Data and Knowledge Engineering and Mechatronics , as well as top-tier conferences including AAMAS and IEEE RAM. His research integrates software architecture, communication protocols, and AI planning to solve real-world coordination challenges in autonomous systems. Scientific Contributions: Developed the Setplay framework for multi-robot coordination Contributed to ontology modeling for multi-agent systems (O3F) Authored multiple RoboCup team description papers for FC Portugal Pioneered work on open, fault-tolerant robotic architectures Advising and Collaborative Research: While no formal students are listed, Mota has collaborated extensively with researchers such as Luís Paulo Reis, Nuno Lau, and Fernando Almeida on robotic soccer and semantic web projects. His work often involves team-based research initiatives, particularly within the RoboCup community, where he contributes to both simulation and physical visualization leagues. Laboratories and Research Teams: Mota is actively involved with the FC Portugal RoboCup team, contributing to both the 2D simulation and mixed reality competitions. His work supports the development of cooperative strategies and communication frameworks in multi-agent robotic systems.

Popirlan Claudiu Ionutمشاهده پروفایل

مدرس

• Artificial Intelligence
• Mobile Agents
• Multiagent Systems
• +۶ مورد دیگر

Dr. Popirlan Claudiu Ionut is a Lecturer in the Computer Science Department at the Faculty of Exact Sciences, University of Craiova, Romania. He has been actively involved in academic and research activities since 2004, progressing from Assistant Lecturer to Assistant Professor and currently serving as a Lecturer. He holds a Ph.D. in Computer Science from the University of Pitesti and has extensive teaching experience in advanced programming, databases, GIS, and software engineering. His educational background includes: Ph.D. in Computer Science, University of Pitesti (2005–2009) Master in Artificial Intelligence, University of Craiova (2003–2004) B.Sc. in Computer Science, University of Craiova (1999–2003) Secondary Education, Fratii Buzesti National College (1995–1999) Dr. Popirlan's research is centered on Artificial Intelligence, with a strong emphasis on Mobile Agents and Multiagent Systems. His work explores knowledge representation, processing, and management using agent-based architectures, with applications in robotics, contact centers, and virtual organizations. He has also contributed to web-based 3D visualization and modeling in mechanical engineering. His technical expertise spans Java technologies, databases, and software engineering. The analysis of his recent publications reveals a consistent focus on mobile agents for knowledge processing, distributed systems, and intelligent control. Themes include agent architectures, knowledge base management, pathfinding algorithms, and simulation systems, indicating a deep and sustained research trajectory in autonomous and intelligent software systems. He has received research grants such as TD CNCSIS and CNCSIS IDEI, where he served as director and team member respectively, focusing on mobile agents and knowledge management. His editorial roles include Scientific Referent for INFO-PRACTIC and Editorial Secretary for the Annals of the University of Craiova. Dr. Popirlan is an active member of the academic community, affiliated with IEEE, IEEE Computer Society, ACM, IBM Academic Initiative, Microsoft Faculty Connection, and the Romanian Mathematical Society. He is also part of the Research Center of Artificial Intelligence in Craiova.

Noah Rhodesمشاهده پروفایل

پژوهشگر ارشد

• Power Grid Optimization
• Mathematical Optimization
• Energy Security
• +۲ مورد دیگر

Noah Rhodes is a CNLS Postdoctoral Associate at Los Alamos National Laboratory's Center for Nonlinear Studies (CNLS), working within the Theoretical Division (T-Division). His research focuses on mathematical optimization applications for power grid challenges, particularly infrastructure flexibility and wildfire risk mitigation. Office contact: TA-3, Building 1690, Room 123; email: nrhodes@lanl.gov. Educational background includes: B.S. in Electrical Engineering, University of Wisconsin-Madison (2019) Ph.D. Minor in Energy Analysis and Policy, University of Wisconsin-Madison (2022) Ph.D. in Electrical Engineering, University of Wisconsin-Madison (2024) Rhodes' research centers on enhancing power grid resilience through optimization techniques, with emphasis on reducing infrastructure needs and managing wildfire-related outages. His work bridges theoretical mathematics with practical energy security challenges, developing frameworks for public safety power shutoffs and grid restoration under extreme conditions. His 2021-2025 publications reveal a trajectory from foundational grid restoration algorithms toward integrated environmental considerations. Recent work combines carbon intensity analysis with grid operations while advancing open-source tools (PowerModelsRestoration.jl, ElectricityEmissions.jl) for academic and utility applications. Key trends include stochastic optimization for emergency response and topology-aware power flow formulations. No scientific awards are listed in the provided materials. No student advisement or grant information is documented in the source text. Rhodes operates within CNLS—a hub for nonlinear science research at LANL—which fosters interdisciplinary collaboration on complex systems. His work interfaces with T-Division's theoretical frameworks while addressing real-world energy infrastructure vulnerabilities through computational modeling and optimization.

Franz Christopher Kunzeمشاهده پروفایل

پژوهشگر

• Industrial Automation
• Alarm Management Systems
• Causal Analysis
• +۳ مورد دیگر

Franz Christopher Kunze is a Researcher at the Department of Automation Technology, Faculty of Electrical Engineering and Information Technology, Ruhr-Universität Bochum. His work focuses on developing advanced alarm management systems for industrial processes using causal directed graphs and machine learning techniques. He collaborates with TU Munich on the DFG-funded CausAlITI project, aiming to improve root-cause analysis during industrial alarm floods. Research interests include causal analysis of alarm patterns, adaptive system modeling, and operator-centric visualization. He teaches courses like Process Automation and Programming for ETIT/ITE students, and supervises bachelor's theses in alarm system development. His publications (2023–2025) address alarm flood dynamics, causal graph applications, and automated model generation using LLMs. Current work emphasizes real-time alarm processing and uncertainty management in industrial systems.

Yavuz Akpınarمشاهده پروفایل

استاد

• Educational Technology
• Instructional Design
• Interactive Learning Environments
• +۵ مورد دیگر

Prof. Yavuz Akpınar at Boğaziçi University is a leading academic in Educational Technology and Interactive Learning Environments . His career spans over two decades of research and development in technology-enhanced education. Ph.D. : Design and Validation of Interactive Learning Environments (University of Leeds, UK) M.A. : Graphical Environments for Understanding School Science (University of Leeds, UK) B.S. : Measurement and Evaluation in Education (Hacettepe University, Türkiye) His research focuses on serious games , computer-based learning , and multimedia pedagogy , with particular emphasis on self-regulated learning and programming education in K-12 contexts. Recent publications highlight a consistent focus on serious game design , flipped classroom modalities , and argumentation-based learning tools . His work bridges STEM education and educational technology validation . Professor Akpınar's email address is akpinar@bogazici.edu.tr .

Ilkka Nissiläمشاهده پروفایل

پژوهشگر

• Biomedical Optics
• Neuroimaging
• Optical Tomography
• +۷ مورد دیگر

Ilkka Nissilä, Ph.D., is a Staff Scientist at the Department of Neuroscience and Biomedical Engineering , Aalto University. With a career spanning over two decades, his work focuses on diffuse optical tomography , near-infrared spectroscopy , and neonatal brain imaging . He served as a Principal Investigator for the Academy of Finland-funded project Multimodal neuroimaging of children (2016–2018) and has collaborated internationally through visiting researcher appointments. Education : Doctoral Degree in Engineering, Helsinki University of Technology (2004) Master's Degree in Engineering, Helsinki University of Technology (1998) Research Themes : Biomedical optics and optical tomography for brain imaging Neurovascular coupling and hemodynamic responses Developmental neuroscience in infants/children Emotional and sensory processing in early life Algorithm development for image reconstruction Integration of NIRS with TMS/MEG/EEG Article Trends : Recent work combines deep learning with diffuse optical tomography for improved brain imaging Studies maternal mental health impacts on child brain development Advances frequency-domain data utilization and 3D anatomical modeling in neonatal studies Activities : Visiting Researcher (2001–2008) at multiple foreign institutions Conference Presentations Media Impact : 2023: AI-Mind General Assembly participation 2022: Co-developed a skin-stroking device for alcohol cravings 2019: Maternal anxiety effects on infant brain covered in Finnish media Collaborations : International partnerships in biomedical optics Interdisciplinary work with pediatric and psychiatric researchers

• Medical Imaging
• Computer Vision
• Mixed Reality
• +۷ مورد دیگر

Andrzej Skalski serves as a Professor and Deputy Head of the Department of Metrology and Electronics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków. He actively participates in the Biomedical Engineering Discipline Council and maintains his primary workplace in Building B-1, Room 206, with contact via skalski@agh.edu.pl. His research spans Medical Imaging, Computer Vision, and Mixed Reality applications in healthcare, with concentrated expertise in medical image segmentation, surgical navigation systems, and 3D visualization techniques. Recent work demonstrates innovative integration of deep learning for vascular structure analysis, development of cloud-based diagnostic platforms like DECODE, and implementation of extended reality solutions for surgical precision and anatomy education. His scholarship bridges engineering principles with clinical practice to solve complex biomedical challenges. Analysis of his 2024-2026 publications reveals dominant trends in markerless surgical navigation, noninvasive vascular disease management, and educational technology for anatomy instruction. Key thematic clusters include: (1) Deep learning-driven segmentation of vascular and fracture structures in CT/X-ray data, (2) Mixed reality frameworks for surgical guidance and biopsy procedures, and (3) Systematic evaluations of digital versus traditional methods in medical education. These works consistently emphasize clinical applicability and technological innovation. Dr. Skalski leads collaborative initiatives including the DECODE platform for peripheral artery disease management and the PENGWIN 2024 Challenge for pelvic fracture segmentation benchmarking. His leadership in the Biomedical Engineering Discipline Council underscores institutional influence, while his extensive publication record indicates active supervision of graduate researchers despite no explicit student listings in available records. Current projects focus on WebGL-based medical visualization and mixed reality surgical navigation systems.

• Computer Sciences
• Computer Graphics
• Engineering and Technology
• +۳ مورد دیگر

ÖMER ÇAKIR is a Lecturer at the College of Engineering , Karadeniz Technical University , Department of Computer Engineering. His work spans computer graphics, software engineering, and signal processing. Education: Undergraduate (2001) and Postgraduate (2004) in Computer Engineering at Karadeniz Technical University. Academic Positions: Lecturer (2002–Present), Research Assistant (2001–2002). Research focuses on Computer Graphics , Signal Processing , and Optimization Algorithms . His conference papers address topics like virtual surgery simulations , fractured object reassembly , and TDOA-based localization . Key publication trends include parallel computing , 3D reconstruction , and PSO optimization . He has contributed to 13 peer-reviewed conferences. His contact email is cakiro@ktu.edu.tr , and he teaches BİLGİSAYAR GRAFİKLERİ-I and DATA STRUCTURES .

Gil Bubمشاهده پروفایل

دانشیار

• Cardiovascular Research
• Cardiac Dynamics
• Imaging Techniques
• +۳ مورد دیگر

Gil Bub is an Associate Professor in the Department of Physiology at McGill University, focusing on cardiovascular research and cardiac dynamics. His lab develops advanced imaging and computational methods for studying excitable cell networks in heart and brain tissues. Current research involves high-speed microscopy technologies (Temporal Pixel Multiplexing, RAP imaging, remote focusing) and optogenetic techniques to control and image cardiac excitation patterns. Teaching includes the course Mathematical Models in Biology (BIOL 309) , with supplementary tools like cellular automata and logistic map iterators. Research themes explore excitable media, spiral wave dynamics, and real-time optical control of cardiac tissue. The lab combines bioengineered myocyte sheets, co-cultures, and whole-heart models with novel microscopy and simulation programs. Instrumentation projects include ultra-fast sensors, three-photon microscope prototypes, and parallel imaging systems for high-throughput screening. Optogenetics work collaborates with Emilia Entcheva's COOL lab to sensitize tissues to light control, enabling precise manipulation of wave patterns and rhythms. Lab members include postdocs, PhD/MSc students, and undergraduate trainees. Prior students have pursued careers in academia, medicine, and industry. Collaborators span institutions including Oxford, UBC, and industry partners like Cordin Scientific Imaging.

Erivelton Nepomucenoمشاهده پروفایل

دانشیار

• Computer Arithmetic
• Chaotic Cryptography
• Green Computing
• +۶ مورد دیگر

Erivelton Nepomuceno is an Associate Professor at Maynooth University's Faculty of Science & Engineering , affiliated with the Hamilton Institute and Centre for Ocean Energy Research . He holds a PhD in Electrical Engineering from UFMG (2005) and has held visiting positions at Imperial College London, Saint Petersburg Electrotechnical University, and City, University of London. Educational Background BEng, UFSJ (2001) PhD, UFMG (2005) Research Interests Computer Arithmetic Chaotic Cryptography Green Computing Ocean Energy Sustainable Circuits and Systems System Identification His recent publications focus on computational chaos, reinforcement learning applications, and sustainable energy systems. His work bridges chaos theory , cybersecurity , and renewables , with a strong emphasis on energy transition and finite-precision arithmetic challenges. Scientific recognitions include Senior Member of IEEE and Chair-Elect of IEEE Technical Committee on Nonlinear Circuits and Systems . He has served as Deputy Editor-in-Chief for multiple IEEE journals and currently holds associate editor roles. Erivelton supervises 5 active PhD students and has advised 7 PhD completions. His funded projects include studies on hybrid wind-wave energy control (€587,975.18), green computing (€3,700), and chaotic system simulation (€7,500). He leads the Hamilton Institute's research group on computational chaos and sustainable systems.

Christopher E. Wilmerمشاهده پروفایل

دانشیار

• Computational Materials Discovery
• Energy
• Hypothetical Materials
• +۷ مورد دیگر

Christopher E. Wilmer is an Associate Professor at the Swanson School of Engineering , University of Pittsburgh, specializing in computational materials discovery for energy applications. His work focuses on Metal-Organic Frameworks (MOFs) in gas separation, thermal conductivity, and sensor array design. PhD, Chemical & Biological Engineering, Northwestern University (2013) BASc, Engineering Science, University of Toronto (2007) Wilmer's research integrates computational modeling with hypothetical materials to advance carbon capture , gas sensing , and thermal transport in nanoporous systems. He pioneered genetic algorithms for MOF sensor optimization and studies defect impacts in MOFs like UiO-66. His 15 most recent publications (2024-2021) span Materials Science , Chemical Engineering , and Environmental Technology , emphasizing MOFs for CO2 capture , electronic nose development , and thermal property engineering . Key journals include Journal of Materials Chemistry A , ACS Sensors , and Chemical Science . Scientific honors include Forbes 30-under-30 , ACS Excellence Award , and NSF Visualization Challenge . He has advised co-authors on MOF-based projects but no formal students are listed in the provided data. Wilmer's cyber-physical systems work intersects with infrastructure security , as noted in his faculty profile. He developed MOFUN , an open-source Python tool for molecular design, and contributed to E-waste fraud modeling and light-harvesting MOFs .

Michal Zbigniew Pomianowskiمشاهده پروفایل

دانشیار

• Energy Engineering
• District Heating Systems
• Building Energy Performance
• +۴ مورد دیگر

Michal Zbigniew Pomianowski is an Associate Professor at the Department of Construction, Urban and Environmental Engineering, Faculty of Engineering and Science, Aalborg University. His primary research focus lies in energy systems within buildings, with specific expertise in district heating, thermal comfort, and energy performance optimization. Research Group for Energy in Buildings Key projects: PRELUDE, EDYCE, IDCS His work spans energy informatics, building physics, and sustainable urban infrastructure. Recent publications emphasize fault detection in district heating systems, thermal comfort analysis, and real-time energy optimization. Scientific awards include the prestigious Årets underviser (Year's Teacher) in 2018. He contributes to energy datasets, serves as principal investigator in multiple projects, and actively participates in international conferences like AIVC and Applied Energy.