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Michael DohertyView profile

Associate Professor

• Database Applications
• Knowledge Management Systems
• Computer Graphics
• +3 more

Michael Doherty is an Associate Professor in the Department of Computer Science at Pacific University's School of Engineering and Computer Science. His research and teaching focus on Database Applications , Knowledge Management Systems , Computer Graphics , Simulation , Video Game Development , and Software Engineering . Ph.D. in Computer Science from University of Colorado at Boulder (1998) M.S. in Computer Science from University of Rhode Island (1992) B.S. in Electrical Engineering from University of Florida (1983) His publications center on database systems , knowledge management , and software engineering applications in technology transfer , telerobotics , and telecommunications . Key topics include ontologies , graphical transformation languages , and object-oriented database updates .

Arnd HartmannsView profile

Associate Professor

• Stochastic Timed Systems
• Hybrid Systems
• Probabilistic Model Checking
• +5 more

Arnd Hartmanns is an associate professor in the Formal Methods and Tools group at the University of Twente, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). Previously, he was a postdoc at both the University of Twente and Saarland University's Dependable Systems and Software group, where he also completed his Ph.D. in computer science in 2015. He has led multiple research projects including the NWO VIDI project 'Trustworthy Analysis of Stochastic Timed Systems (TruSTy)', the Interreg North Sea project 'STORM_SAFE', and coordinates the MSCA RISE project 'MISSION'. His primary research interests focus on modeling tools and formalisms for stochastic timed and hybrid systems, particularly the Modest framework. Hartmanns has been a strong advocate for reproducibility in Computer Science research through artifact evaluation initiatives, tool competitions like QComp, and standardized benchmark sets. His work bridges theoretical foundations with practical applications across various domains including network-on-chip systems, power grids, and space communication infrastructure. He has made significant contributions to probabilistic model checking, statistical verification techniques, and formal methods for system analysis. Hartmanns serves on numerous program committees, particularly focusing on artifact evaluation for conferences like TACAS, QEST, and FORMATS. His leadership in establishing reproducibility standards has influenced the formal methods community significantly. The trends in his recent publications show a strong emphasis on verified implementations of verification algorithms, statistical model checking techniques that go beyond standard approaches, and applications of formal methods to increasingly complex real-world systems. Scientific Recognition 2016 Best Dissertation Award by the GI/ITG Technical Committee for 'Measurement, Modelling and Evaluation of Computing Systems' Hartmanns has supervised numerous Master's and PhD students through his research projects, though specific names aren't listed in the provided information. His grant portfolio includes several major projects funded by NWO (VENI, VIDI, Open Competition) and European programs (MSCA RISE, Interreg North Sea). He is actively involved in developing educational materials for formal methods and has contributed to establishing benchmark sets that are now standard in the field. His work on the Modest modeling language and toolset has created an important infrastructure for quantitative verification research. The integration of formal verification with machine learning techniques, particularly in strategy learning and decision tree generation, represents one of his more recent research directions that connects formal methods with emerging AI approaches.

Mariëlle AartsView profile

Assistant Professor

• Human-Centered Lighting
• Daylight Studies
• Light and Health
• +4 more

Mariëlle Aarts serves as an Assistant Professor in the Department of the Built Environment at Eindhoven University of Technology (TU/e), specializing in human-centered lighting research. Her work spans multiple research groups including Building Lighting and the Intelligent Lighting Institute, with office location at Vertigo 6.11. She also chairs the Board at the Light and Health Research Foundation SOLG at TU/e, where she promotes awareness of light's impact on human health and connects researchers in this field. Her research focuses on the intersection of lighting with human wellbeing, particularly examining daylight, electrical lighting, comfort, and energy considerations within the built environment. Aarts maintains special expertise in lighting applications for working environments and elderly populations, recognizing the distinct requirements for these groups compared to general populations. Her work extends to therapeutic applications of light for affective disorders and lighting conditions in medical facilities. Analysis of her recent publications reveals a strong emphasis on translational lighting research connecting engineering principles with health outcomes. Her work spans building science, environmental psychology, and public health domains, with particular attention to methodological improvements in light measurement, the impact of light on vision development, and the psychological effects of natural versus artificial lighting patterns. Aarts demonstrates consistent collaboration across international research teams, particularly with colleagues at TNO and other European institutions. Chairman of the Board, Light and Health Research Foundation SOLG at TU/e Former researcher at TNO (2001) Member of the Daylight Committee of the Dutch Lighting Foundation Aarts teaches multiple courses including 'Advancing light for human functioning', 'Physics of light and lighting design', and 'Healthy & sustainable living environments'. Her educational activities emphasize the practical application of lighting principles for human benefit, connecting theoretical knowledge with real-world implementation. Her research laboratory environment includes the Intelligent Lighting Institute where she collaborates on projects examining lighting's physiological and psychological impacts.

• Bioinformatics
• Time Series Analysis
• Machine Learning
• +3 more

Patrick Schäfer is a Researcher at the Institute of Computer Science, Humboldt University of Berlin. His work focuses on time series analytics, bioinformatics, and data series management. He contributes to unsupervised learning algorithms and temporal data mining. Affiliation: Institute of Computer Science, Faculty of Mathematics and Natural Sciences, Humboldt University of Berlin Email: Patrick.Schaefer@hu-berlin.de Phone: 030 2093-41287 Address: Unter den Linden 6, 10099 Berlin Research Interests His research spans time series classification , segmentation algorithms , and bioinformatics data management . He develops tools for unsupervised analysis of multidimensional temporal data, focusing on motif detection, similarity search, and efficient indexing. Key Themes : Parameter-free temporal data analysis High-dimensional time series similarity search Unsupervised motif discovery Human activity segmentation benchmarks Integration of time series analytics with molecular simulations

Kevin NolanView profile

Researcher

• Fluid Dynamics
• Aerosol Transmission
• Medical Engineering
• +5 more

Dr Kevin Nolan is a Researcher at the UCD School of Mechanical and Materials Engineering , University College Dublin, specializing in fluid dynamics , aerosol transmission , and medical engineering . His work spans surgical safety , renewable energy systems , and microfluidic technologies , with a focus on real-world applications like infection control and wind turbine aerodynamics . Recent research includes modeling surgical smoke leakage , developing standards for face coverings , and analyzing wind turbine blade erosion using advanced fluid dynamic techniques. Collaborations with Mater Hospital , Cisco Systems , and NUI Galway highlight the interdisciplinary impact of his work. Key contributions: Schlieren optical technique for visualizing airflow, European standard development for community face coverings Current projects involve IoT-based air quality monitoring , 3D facial mapping for mask design , and reducing dead spots in air purification Publications address gas leaks in laparoscopy , reusable cloth mask efficacy , and flow friction dynamics , with a strong emphasis on computational fluid dynamics (CFD) and practical mitigation strategies across medical and engineering domains.

Luciano OstView profile

Senior Lecturer

• Embedded Systems
• Hardware/Software Co-design
• Cybersecurity
• +7 more

Luciano Ost is a Senior Lecturer and Programme Director of the Computer and Electronic Engineering (CEE) Programme at the University of Leicester. He holds a Ph.D. in Computer Science from Pontifical Catholic University of Rio Grande do Sul (PUCRS), Brazil (2010). His research focuses on enhancing reliability, security, and performance of embedded and life-critical systems through innovative hardware/software co-design approaches. Key areas include fault tolerance in neural networks, radiation effects on embedded systems, and real-time control systems. Prior to Leicester, he worked at the University of Montpellier II (France) as an assistant professor and research assistant. He has authored/co-authored over 100 papers and two books, with notable contributions to soft error reliability assessment frameworks (e.g., SOFIA, gem5-FIM) and embedded system security solutions like BIDS for in-vehicle networks. His research spans topics like FPGA-accelerated intrusion detection (BNN-based), radiation resilience in IoT edge devices, and compiler optimization impacts on multicore reliability. He has conducted extensive studies using Geant4 simulations and virtual platforms for fault injection analysis.

Michael KochView profile

Professor

• Robotics
• Additive Manufacturing
• Materials Science
• +3 more

Prof. Michael Koch is a Professor at Technische Hochschule Nürnberg, specializing in interdisciplinary research at the intersection of robotics, materials science, and industrial engineering. His work focuses on advancing additive manufacturing, robotics integration, and computational simulation in manufacturing processes. He holds a Dr.-Ing. and Dipl.-Wirt.-Ing., reflecting his expertise in engineering and applied sciences. Research interests include 3D printing optimization, cyber-physical systems, and safety analysis of materials under mechanical stress. He has contributed to innovations in robotics programming via augmented reality and developed frameworks for automated manufacturing processes. His studies on biomedical applications, such as ovarian cancer modeling, demonstrate a cross-disciplinary approach. Key projects involve robot-guided CT scanning for automotive industry 4.0, part orientation evaluation for additive manufacturing (Poeam), and safety protocols for explosives (PBX). His work emphasizes integrating real-world geometry data into simulations to improve accuracy and efficiency. Prof. Koch’s publications span over three decades, with a focus on manufacturing, robotics, and materials science. He has pioneered methods for energy-efficient CO2 capture systems and explored microstructural changes in materials under dynamic loading.

Dejan FilipovicView profile

Professor

• Antenna Theory
• RF Engineering
• Microwave Engineering
• +5 more

Dejan Filipovic is a Professor and holds the Hudson Moore Jr. Chair in Engineering at the University of Colorado Boulder, where he leads the Antenna Research Group (ARG) in the Department of Electrical, Computer, and Energy Engineering. His research focuses on advanced antenna systems for applications including communications, radar, and electronic warfare, with particular emphasis on antenna theory and design. Professor Filipovic's research specializes in antenna theory and design with emphasis on applications of electrically small antennas (ESAs) , simultaneous transmit and receive (STAR) , and wideband microwave and millimeter wave communication systems. His work addresses challenging problems in electronic warfare front-ends, spectrum sensing, and direction finding applications, often incorporating innovative fabrication techniques including 3D printing for rapid prototyping. Analysis of Professor Filipovic's recent publications reveals a consistent focus on wideband antenna systems spanning from HF through millimeter-wave frequencies (0.5-110 GHz). His research group demonstrates expertise in retrodirective and direction-finding arrays , full-duplex communication systems , and the application of additive manufacturing to antenna design. A notable trend is the integration of machine learning techniques to enhance traditional antenna system performance, particularly in direction finding applications. Key scientific recognition includes: NSF Graduate Fellowship Award (awarded to students in his group) Honorable Mention by the NSF Graduate Research Fellowship committee Silver medal in Student Paper Competition at the 2021 ACES Conference Excellence in Outreach Award for departmental and community contributions Professor Filipovic has mentored numerous graduate students to completion of their degrees, with recent thesis defenses including Gabriel A. (MSc on Deployable Electrically Small Folded Cylindrical Helix HF Antenna), Dong-Chan Son (PhD on Wideband, Highly Directional Antennas), and Songyi (PhD on Unconventional Arrays for HF and Other Applications). His research group maintains strong industry and defense connections, as evidenced by visits from notable figures such as Dr. Heidi Shyu, Under Secretary of Defense for Research and Engineering. The ARG laboratory operates a sophisticated research facility featuring an NSI 700S-30 Spherical near-field/far-field measurement system (1-110 GHz), multiple vector network analyzers including Agilent PNAx with OML extensions, and advanced 3D printing capabilities for rapid antenna prototyping. Current research projects include the Signal Processing Electronic Attack RF (SPEAR) Front-End, Flexible and Modular RF Systems for Space Constrained Decoys, and Circulator In Aperture (CIA) research.

Casey BowmanView profile

Associate Professor

• Traffic Simulation
• Discrete Event Simulation
• Machine Learning
• +3 more

Dr. Casey Bowman is an Associate Professor in the Mathematics department at the University of North Georgia (UNG). He specializes in traffic simulation, machine learning, and big data analytics. His research focuses on integrating microscopic discrete-event simulation with real-world data to model transportation systems and optimize traffic flow. Bowman's work often bridges theoretical models with practical applications, such as calibrating vehicular traffic simulations and developing hybrid approaches combining simulation with machine learning for traffic forecasting. He holds a PhD in a related field (details unspecified) and has published extensively on topics like sensor data-driven traffic optimization and open-source big data frameworks. His research has been published in journals and conferences, including works on traffic light synchronization and service network analysis. Bowman is reachable at casey.bowman@ung.edu and can be found at the Faculty Center, 736, Oconee campus.

Dimitrios NikolopoulosView profile

Professor

• High-Performance Computing
• Systems Runtime Systems
• Memory Management
• +6 more

Dimitrios Nikolopoulos is the John W. Hancock Professor of Engineering at Virginia Tech's College of Engineering, within the Department of Computer Science. His research focuses on high-performance computing, systems runtime systems, memory management, and edge computing. He holds a Chartered Engineer (CEng) certification. Education: M.Eng., University of Patras, Greece (1996) M.Sc., University of Patras, Greece (1997) Ph.D., University of Patras, Greece (2000) Research Interests: His work spans transprecision computing, parallel programming paradigms, efficient inference frameworks for large language models (LLMs), and energy-efficient server ecosystems. Recent efforts emphasize optimizing edge computing systems, GPU resource sharing, and adaptive memory management in cloud-edge environments. Recent Trends in Publications: Recent studies highlight advancements in edge-serving frameworks (e.g., SLED), multi-agent systems for HPC code optimization (MARCO), and novel approaches to GPU and memory resource utilization in constrained settings. Themes include reducing latency, improving scalability, and integrating AI-driven techniques into HPC workflows. Grants & Advising: Details on current grants and advisees are not explicitly listed in the provided materials. Labs/Teams: His research is conducted through collaborative groups within Virginia Tech's Department of Computer Science, focusing on systems, parallel computing, and AI/ML infrastructure.

Ronak R. MohantyView profile

Academic

• Human-Computer Interaction
• Extended Reality (XR)
• Haptic Technology
• +3 more

Dr. Ronak R. Mohanty is a Research Scientist in the Department of Industrial and Systems Engineering at the University of Wisconsin-Madison , specializing in Human-Computer Interaction and Applied Perception . His work focuses on human-centric design principles to develop innovative Extended Reality (XR) and haptic technologies for applications in health technology, orthopedic surgery training, and XR learning. He has contributed to cutting-edge research at Meta Reality Labs , particularly in haptics-based wearable devices and human augmentation technologies. Primary Affiliation: University of Wisconsin-Madison Department: Industrial and Systems Engineering Ronak R. Mohanty’s research spans multisensory experience design, with a focus on haptic rehabilitation , augmented reality (AR) for triage training, and spatial audio accessibility solutions. His work bridges academic and industrial domains, emphasizing inclusivity and precision in XR systems. Scientific publications highlight trends in XR technology , haptics , medical simulations , and assistive interfaces . His studies explore motor strategies in virtual spaces, bone-drilling analytics, and speech-driven 3D modeling, reflecting interdisciplinary expertise in human augmentation and user-centered design . Contact: ronak.mohanty@wisc.edu

• Cybersecurity
• Parallel Simulation
• Discrete Event Simulation
• +4 more

David Malcolm Nicol is a Herman M. Dieckamp Endowed Chair and Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. He holds multiple directorships, including Director of the Information Trust Institute, Director of Research at the Illinois Advanced Research Center at Singapore (Illinois ARCS), and Director of the Dieckamp Center for Reliable, Secure, and Trustworthy Systems within the Coordinated Science Lab. He is also affiliated with the Siebel School of Computing and Data Science and the Grainger College of Engineering. His research focuses on cybersecurity, parallel and discrete event simulation, industrial control systems security, smart grid networks, and dependable systems. He has contributed to areas such as message authentication in control systems, vulnerability analysis, and efficient simulation techniques for highly reliable systems. He has received the prestigious IEEE Fellow award in 2003 for his contributions to the field. His work spans collaborations in cybersecurity and infrastructure security, with notable publications in journals like Empirical Software Engineering and ACM Transactions on Cyber-Physical Systems . David Nicol has actively participated in academic activities, including an oral presentation on Cyber Threats in the Age of COVID-19 in June 2020. His research is anchored in labs such as the Information Trust Institute and the Coordinated Science Lab, emphasizing practical solutions for secure and trustworthy systems.

Lutz EcksteinView profile

Professor

• Automotive Engineering
• Automated Driving Systems
• Vehicle Dynamics
• +4 more

Univ.-Prof. Dr.-Ing. Lutz Eckstein is the Head of the Institute of Automotive Engineering (ika) at RWTH Aachen University and a leading expert in automotive engineering. He concurrently serves as President of the VDI Association of German Engineers, President of the VDI Scientific Advisory Board for the Federal Ministry of Digital and Transport (BMDV), and Scientific Director of the NRW Competence Network for Automated and Connected Mobility. His professional background includes senior roles at BMW and DaimlerChrysler, focusing on vehicle safety, driver assistance systems, and ergonomics. Eckstein holds a Doctorate from the University of Stuttgart (2000) and received the Artur Fischer Prize (1995) for academic excellence. His research interests span automated driving systems, human-machine interfaces, scenario-based testing, and mobility infrastructure. He leads high-profile projects like UNICARagil and coordinates the Mobility and Transport profile at RWTH Aachen. Over 80 patents and publications reflect his contributions to automotive innovation, including advancements in sensor fusion, digital twins, and cooperative intelligent transport systems (C-ITS). His recent work emphasizes safety assurance for automated vehicles, scenario databases, and scalable simulation frameworks. Eckstein's interdisciplinary approach bridges academia and industry, driving transformative solutions for future mobility challenges.

Caspar A.S. PouwView profile

Research Fellow

• Pedestrian Dynamics
• Crowd Flow Modeling
• Fluid Dynamics
• +3 more

Caspar A.S. Pouw is a Research Fellow in the Department of Applied Physics and Science Education at Eindhoven University of Technology (TU/e). He holds a dual role as a Postdoc researcher and Data Scientist at ProRail. His work focuses on advancing human crowd flow monitoring, modeling, and nudging technologies, particularly within the HTCrowd project. Pouw’s research integrates fluid dynamics principles to analyze pedestrian behavior in crowded environments, aiming to enhance safety and efficiency in urban spaces. Educated at TU/e, he earned his Master’s in Applied Physics (specializing in Fluids and Flows) and a Bachelor’s in Combustion Science. He has taught courses on sociophysics, covering crowd dynamics analysis, modeling, and nudging strategies. His contributions align with UN Sustainable Development Goals related to safe cities and resilient infrastructure. Recent research emphasizes data-driven modeling of pedestrian dynamics, psychological influences on train boarding efficiency, and real-time monitoring systems. His work bridges physics, computer science, and urban planning, with applications in transportation and public safety. Collaborations include ProRail and interdisciplinary teams at TU/e. Pouw’s datasets and software tools, such as those for pedestrian trajectory analysis, are openly available. His media coverage highlights innovations in crowd management post-COVID-19. Future work involves expanding predictive models for crowd behavior and optimizing transport infrastructure design.

Stefano MarelliView profile

Lecturer

• Uncertainty Quantification
• Scientific Software Design
• Surrogate Modeling
• +5 more

Dr. Stefano Marelli is a Lecturer at ETH Zürich's Department of Civil, Environmental and Geomatic Engineering, affiliated with the Risk, Safety, and Uncertainty Quantification Chair. He holds a MSc in Physics (University of Milano Bicocca, 2006) and a PhD in Applied and Environmental Geophysics (ETH Zurich, 2011). His research focuses on uncertainty quantification (UQ), surrogate modeling, reliability analysis, and Bayesian inversion, with applications in engineering, astrophysics, and economics. He leads the development of UQLab, a general-purpose UQ software framework, and collaborates on interdisciplinary projects like HIPERWIND. Key research areas include high-dimensional UQ, stochastic simulators, and surrogate modeling for dynamical systems. Recent work emphasizes multifidelity methods, Bayesian tomography, and noise-aware reliability analysis. He teaches structural reliability and risk analysis at ETH and contributes to international UQ training programs. Education: MSc Physics (Milano Bicocca, 2006); PhD in Geophysics (ETH Zurich, 2011) Roles: Senior Scientist (2018–present); Postdoc (2012–2018) Software: UQLab, UQ [py] Lab Collaborations: Cross-disciplinary projects in astrophysics, mechanical engineering, and remote sensing His articles (2020–2025) highlight advancements in surrogate modeling, Bayesian inversion, and UQ applications. Notable contributions include frameworks for noisy data analysis, time-variant reliability, and industrial fragility assessment.