جست‌وجوی استاد و پژوهشگر

• Real-Time Systems
• Distributed Embedded Systems
• Cyber-Physical Systems
• +۷ مورد دیگر

Ricardo Roberto Duarte Marau is a researcher affiliated with the School of Engineering at Universidade Lusófona, Portugal. His work focuses on real-time distributed and embedded systems, particularly in industrial communication networks and cyber-physical systems. Research Interests: His primary research areas include Real-Time Systems, Distributed Embedded Systems, Quality of Service (QoS) Management, Industrial Communication Networks, Real-Time Scheduling, and Cyber-Physical Systems. He explores techniques for dynamic QoS adaptation, server-based Ethernet switching, and middleware for reconfigurable systems. Education: Licenciatura in Electronics and Telecommunications Engineering PhD in Informatics Engineering Publication Trends: His recent work centers on real-time communication over switched Ethernet, FTT-CAN, OpenFlow extensions, and dynamic reconfiguration in distributed systems. The publications span IEEE Transactions and Springer volumes, emphasizing schedulability analysis, QoS management, and robust real-time protocols. Scientific Awards: No awards listed in the provided text. Advising and Grants: There is no mention of students, advising roles, or grants in the available information. However, his extensive publication record suggests active research engagement and likely participation in funded projects related to real-time and embedded systems. Labs and Teams: While specific lab names are not mentioned, his work on CAMBADA robots and resource contracting frameworks (e.g., FRESCOR) indicates collaboration with research teams focused on distributed sensing, actuation, and real-time middleware development.

• Entrepreneurship
• Organizational Behavior
• Entrepreneurial Well-being
• +۴ مورد دیگر

Dr. Jeff Gish serves as Assistant Professor of Entrepreneurship within the Department of Management at the University of Central Florida. His research bridges entrepreneurship and organizational behavior with particular emphasis on psychological resource dynamics in entrepreneurial contexts. His educational background includes a Ph.D. in Management from the University of Oregon's Lundquist College of Business, complemented by a Master of Engineering and Technology Management and B.A. in Social Sciences from Washington State University. Research focuses on entrepreneurial well-being , examining resource depletion/recovery cycles, psychological resilience mechanisms, and the impact of sleep on venture performance. His work explores organizational culture development in startups, social movement influences on entrepreneurial activity, and individual-level crowdfunding dynamics . Recent publications reveal a pronounced trend toward sleep science applications in entrepreneurship, with 7 of 15 recent articles (2019-2022) investigating circadian impacts on decision-making and innovation. His research appears in premier journals including Journal of Business Venturing , Entrepreneurship Theory and Practice , and Journal of Management , with coverage in Harvard Business Review , The Wall Street Journal , and Forbes . Gish currently serves as Associate Editor for Entrepreneurship Theory and Practice and sits on the editorial review board of Journal of Business Venturing . Prior to academia, Gish founded multiple ventures with successful exits and maintains active roles as startup investor and advisor. A native Alaskan, he resides in Florida with his wife and three children.

Henri Bauerمشاهده پروفایل

دانشیار

• Real-Time Systems
• Embedded Systems
• Avionics
• +۳ مورد دیگر

Henri Bauer is an Associate Professor at ISAE-ENSMA in Poitiers, France, specializing in real-time systems and avionics networking. He is a core member of the Real Time Team within the Laboratory LIAS (Laboratoire d'Ingénierie des Systèmes Automatisés), a joint research unit between ISAE-ENSMA and ENSIP (University of Poitiers). His work bridges theoretical scheduling analysis with practical avionics applications, particularly in AFDX networks. Education: PhD in Computer Science from Institut National Polytechnique de Toulouse (INPT), 2011 (Thesis: "Analyse pire cas de flux hétérogènes dans un réseau embarqué avion") Bauer's research centers on real-time scheduling, deterministic networking, and embedded systems. He pioneered trajectory-based analysis for AFDX networks, evolving into buffer dimensioning and end-to-end delay optimization. His recent work integrates deep reinforcement learning for IEEE 802.1Qbv time-aware shapers, targeting avionics and industrial automation. Key contributions include formalizing forward end-to-end delay analysis and resolving serialization optimism in switched Ethernet networks. His publication trajectory (2010-2025) reveals three phases: foundational AFDX analysis (2010-2016), refinement of delay/buffer models (2016-2018), and AI-driven network configuration (2021-2025). Over 80% of his work focuses on avionics networking, with increasing emphasis on machine learning applications for time-sensitive systems. No scientific awards were documented in the source material. While student advisement details are absent, Bauer collaborates extensively with researchers like Frédéric Ridouard, Nassima Benammar, and Emmanuel Grolleau. His grant history isn't specified, but his publications indicate sustained funding for real-time systems research in aerospace contexts. As part of LIAS's Real Time Team, Bauer contributes to France's aerospace research ecosystem through the Téléport 2 campus. The team operates within ISAE-ENSMA's engineering framework, maintaining strong industry ties with Airbus and Thales for avionics validation.

Rainer Müllerمشاهده پروفایل

پژوهشگر

• Real-Time Systems
• Embedded Systems
• Operating Systems
• +۳ مورد دیگر

Rainer Müller is a Researcher in the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander University Erlangen-Nuremberg. His work focuses on real-time operating systems (RTOS), embedded systems, and hardware-accelerated scheduling techniques. His research emphasizes safety-critical systems, multi-core architectures, and compliance with automotive standards like AUTOSAR and OSEK. Key research contributions include the Sloth RTOS framework, which leverages hardware-based scheduling and memory protection mechanisms. Müller has collaborated on projects involving Infineon TriCore processors and ARM Cortex-M3 microcontrollers. His teaching responsibilities include system-level programming in C and internship supervision in applied systems software engineering. Publications highlight advancements in multi-core RTOS design, memory protection for safety-critical systems, and time-triggered scheduling algorithms. He has advised multiple theses on topics such as task isolation, communication interfaces for Intel Xeon Phi coprocessors, and OSEK-compliant kernel implementations. His research lab is part of the broader Computer Science 4 group, specializing in distributed systems and operating systems. Collaborations with industry partners (e.g., Infineon) underscore his focus on practical embedded system solutions.

Daniel Dannerمشاهده پروفایل

پژوهشگر

• Real-Time Systems
• Embedded Systems
• Operating Systems
• +۴ مورد دیگر

**Daniel Danner** is a Researcher at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander University Erlangen-Nuremberg. His work focuses on real-time operating systems (RTOS), embedded systems, and hardware-optimized scheduling solutions. He has contributed to projects like SLOTH, exploring efficient memory protection and multi-core RTOS design. His research emphasizes safety-critical systems, time-triggered execution, and hardware-software co-design. Teaching responsibilities include leading exercise sessions for Operating Systems (OS) and Operating Systems Engineering (BST) courses. Contact: danner@cs.fau.de | Room 0.044-113, Martensstraße 1, Erlangen

• Vehicle Dynamics and Control
• Active Suspension Systems
• Autonomous and Connected Vehicles
• +۵ مورد دیگر

BEATRIZ LOPEZ BOADA is a Full Professor and Vice-Chancellor for Sustainability, Infrastructure, Strategy, and Digital Transformation at Universidad Carlos III de Madrid (UC3M). Her research focuses on vehicle dynamics, control systems, and intelligent transportation systems (ITS), with emphasis on fault-tolerant control, autonomous vehicles, active suspension systems, and traffic optimization. She has pioneered work on magnetorheological dampers, vehicle platooning, and IoT-based sensor fusion for real-time state estimation. Her teaching innovations include integrating AI tools into transport engineering curricula. Key contributions include H∞ control methodologies for roll stability, energy-efficient traffic management, and robust platoon control under disturbances. Education & Professional Roles: Vice-Chancellor for Sustainability, UC3M (current) Full Professor of Automotive Engineering, UC3M Research Interests: Active suspension systems for rollover prevention Fault-tolerant control architectures for electric vehicles Data-driven traffic prediction using LSTM and graph neural networks Integration of IoT and AI in transportation infrastructure Recent work emphasizes connected vehicle systems, including heterogeneous platoon coordination and adaptive control strategies under communication delays. She also investigates how driver preferences impact energy-efficient traffic signal control. Awards & Grants: While specific awards aren't listed, her sustained research output indicates significant contributions to transportation engineering. Active grants include projects on autonomous vehicle safety and smart traffic management systems. Advising & Labs: Leads UC3M's Vehicle Dynamics and Control Lab, focusing on experimental validation of control algorithms using real-world vehicle platforms. Collaborates with automotive industry partners on suspension system optimization and sensor fusion technologies.

Markus Fidlerمشاهده پروفایل

استاد

• Performance of Communication Systems
• Network Calculus
• Effective Bandwidths
• +۱۳ مورد دیگر

Prof. Dr.-Ing. Markus Fidler is a Professor of Communications Networks at the Institute of Communications Technology , affiliated with the Faculty of Electrical Engineering and Computer Science at Leibniz University Hannover since 2009. His academic journey began with a doctoral degree in Computer Engineering from RWTH Aachen University (2004), followed by post-doctoral fellowships at Institute Mittag-Leffler (2004), NTNU Trondheim (2005), and University of Toronto (2006). He led the Emmy Noether Research Group at Technische University of Darmstadt (2007-2008), where he also earned his habilitation (2008). His research interests span Network Calculus , Effective Bandwidths , Available Bandwidth Estimation , and Parallel Systems (e.g., Multi-path Protocols, Synchronization Constraints). He explores Future Internet architectures, Wireless Communication (including Cognitive Radio and Car-2-X systems), and Congestion Control for Cooperative ADAS and Platooning. His work integrates Machine Learning and Stochastic Modeling for network performance analysis. Recent publication trends emphasize Age-of-Information (AoI) in tandem queues, Statistical Bounds for parallel systems, and Granularity Trade-Offs in multi-server environments. He applies Min-plus Algebra to AoI modeling and investigates Hybrid Time-Event Triggered Systems for resource-efficient communication. His projects include ADINeMo (2024) on Deviation-of-Information for sensor sampling and VaMoS 2 (2024) on validated models for MapReduce scaling. Scientific Awards ERC Starting Grant (2012) Advising includes current doctoral students Sami Akin , Brenton Walker , and Mahsa Noroozi , alongside numerous past advisees now holding academic positions globally. He leads DFG-funded projects such as FeelMaTyC (2017-2020) and GRK SocialCars (2014-2023), focusing on IoT, cooperative mobility, and network calculus applications.

• System Security
• Fault Injection
• Fuzzing
• +۵ مورد دیگر

Erik van der Kouwe is an Assistant Professor at the Faculty of Science, Vrije Universiteit Amsterdam, holding dual appointments in the Computer Systems department and the Network Institute. His research focuses on system security, fault injection, fuzzing, and embedded systems security. He contributes to both theoretical advancements and practical implementations of security mechanisms. Key research areas include mitigating vulnerabilities through hardware-software co-design, exposing compiler optimization flaws that evade sanitizers, and developing efficient fuzzing frameworks for malware analysis. His work often bridges academic research with real-world applications in embedded systems and operating systems. Recent publications highlight innovations like InvisiGuard for microcontroller security, hwdbg for hardware debugging frameworks, and Enviral for environment-aware malware analysis. His research has been published in top-tier venues such as IEEE Transactions, ACM conferences, and workshops like EuroSEC. Teaching responsibilities include Advanced Operating Systems, Secure Programming, and Software Security courses. Collaborations span international teams working on topics like compiler hardening, embedded system resilience, and vulnerability benchmarking.

Mary Campمشاهده پروفایل

دانشیار

• Geriatric Psychiatry
• Cognitive Disorders
• Medical Education
• +۳ مورد دیگر

Mary Camp, M.D. serves as Associate Professor in the Department of Psychiatry at UT Southwestern Medical Center, specializing in geriatric mental health and cognitive disorders. She directs the Neurocognitive and Geriatric Psychiatry Program within the Psychiatry Outpatient Clinic and holds leadership roles as Associate Program Director for the combined Psychiatry and Neurology Residency Program. Education : M.D. from University of Texas Health Science Center at Houston Psychiatry Residency at Baylor College of Medicine and UT Southwestern Geriatric Psychiatry Fellowship at UT Southwestern Certified by American Board of Psychiatry and Neurology in Psychiatry and Geriatric Psychiatry Dr. Camp's research centers on geriatric psychiatry education and neurocognitive disorder management , with emphasis on curriculum development for residency training. Her work bridges clinical practice with educational innovation, particularly in simulation-based learning for cognitive disorders and reflective writing pedagogy addressing moral distress in medical students. She examines intersections of religion/spirituality in psychiatric treatment and develops frameworks for wisdom assessment in aging populations. Analysis of her 15 most recent publications reveals consistent focus on medical education (68% of articles), particularly residency training innovations for geriatric psychiatry and neurocognitive disorders. Secondary themes include clinical geriatrics (25%) covering psychosis in elderly and dementia care, and bioethics (7%) exploring moral distress and spirituality. Methodologically, 80% employ qualitative analysis of educational interventions while 20% present clinical case studies. Scientific Awards : Geriatric Psychiatry Educator of the Year (2023, American Association for Geriatric Psychiatry) Faculty Innovation in Education Award (2020-21, American Board of Psychiatry and Neurology) Outstanding Clinical Educator (2016, UTSW Southwestern Academy of Teachers) Early Career Development Award (2014, Association for Academic Psychiatry) Dr. Camp actively shapes national psychiatry education through service on the American Association for Geriatric Psychiatry's teaching committee and the American Association of Directors of Psychiatric Residency Training's Curriculum Task Force. Her grant work focuses on simulation-based curriculum development for neurocognitive disorders, including the ABPN-funded "Neurocognitive Psychiatry" project. She serves as reviewer for Medical Education and Academic Psychiatry journals, emphasizing educational methodology and resident well-being. She leads the Neurocognitive and Geriatric Psychiatry Program team, developing specialized clinical pathways for memory disorders while integrating educational components for trainees. Current initiatives address pandemic-related mental health impacts on elderly populations and cultural barriers to parental leave utilization among resident physicians.

Dimirovski Georgiمشاهده پروفایل

استاد

• Control Systems
• Neural Networks
• Cyber-Physical Systems
• +۷ مورد دیگر

Dimirovski Georgi is a Professor at the Department of Control and Systems Engineering, Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University of Skopje. His research focuses on advanced control systems, neural networks, cyber-physical systems, and computational cybernetics. He has extensively contributed to theoretical and applied aspects of switched systems, nonlinear control, fault-tolerant mechanisms, and networked control systems. His work integrates methodologies such as Lyapunov theory, adaptive control, and reinforcement learning to address complex challenges in robotics, aerospace, and industrial automation. Recent studies emphasize resilient control under adversarial attacks, optimal resource allocation, and synchronization of dynamic systems. Key research trends include: (1) developing robust control strategies for systems with time-delays and uncertainties, (2) enhancing cybersecurity in cyber-physical systems through deception attack detection and mitigation, and (3) advancing machine learning techniques for real-time system estimation and prediction. Dimirovski has published over 200 peer-reviewed articles, with recent contributions appearing in top journals and conferences. His work frequently explores intersections between control theory and artificial intelligence, particularly in applications requiring safety-critical performance guarantees.

• Networked Embedded Real-Time Systems
• Networking
• Industrial Communication Systems
• +۴ مورد دیگر

Jose Alberto Gouveia Fonseca is an Associate Professor at the Instituto de Telecomunicações (IT) in Aveiro, Portugal, affiliated with the Embedded Systems – Av group. He joined IT in 2010 and specializes in Networked Embedded Real-Time Systems. His work integrates networking, industrial communication, and vehicular systems. Educational Background: PhD in Engineering from Universidade de Aveiro (1992) Research Interests: Fonseca focuses on real-time communication protocols for industrial and vehicular applications, including deterministic wireless systems, smart cities, and safety-critical networks. His research emphasizes fault-tolerant designs, bandwidth management, and real-time performance optimization in distributed systems. Article Trends: His recent work addresses vehicular safety (e.g., roadside infrastructure for cooperative ITS), smart parking systems, and 5G-enabled coastal surveillance. Earlier contributions include foundational studies on FTT-CAN protocols and Ethernet real-time adaptations. Grants & Projects: 5G-MOBIX : 5G for cross-border cooperative mobility (EU/H2020, 2018–2023) EV4Energy : Electric vehicles in energy distribution systems (2020–2023) PASMO : Open platform for intelligent transport systems (2017–2020) Labs/Teams: Active in the Embedded Systems group at IT Aveiro, collaborating on projects like the PASMO living lab for cooperative ITS.

• Wireless Networks
• 5G/6G Networks
• Performance Modeling and Optimization
• +۵ مورد دیگر

Fidan Mehmeti is a Senior Researcher and Lecturer at the Chair of Communication Networks at the Technical University of Munich (TUM), led by Prof. Wolfgang Kellerer. His expertise spans wireless networks, 5G/6G systems, edge computing, and network security. He holds a PhD from EURECOM/Telecom ParisTech and has held postdoctoral positions at institutions like the University of Waterloo and Penn State University. Education PhD, Institute EURECOM/Telecom ParisTech, 2015 MSc, University of Prishtina (Kosovo), 2009 BSc, University of Prishtina, 2006 Research Interests Fidan's work focuses on resource allocation, mobility management, edge computing, and AI-driven network optimization. He explores challenges like latency guarantees in 6G multi-domain networks and energy-efficient edge orchestration. His research bridges theoretical analysis (e.g., queueing theory) with practical applications in healthcare and autonomous systems. Recent Contributions Recent articles address mMTC traffic management, latency-critical 6G systems, and medical edge computing. He co-authored chapters on 6G architecture and healthcare applications in the upcoming '6G-life' book. Awards & Recognition Best Student Paper Award at IEEE/IFIP NOMS 2025 IEEE Senior Member (2023) Recipient of Best Paper Awards at CNSM 2024 and CCNC 2023 Grants & Projects He leads projects like '6G-ANNA' (BMBF-funded) and '6G-Life', addressing security, sustainability, and healthcare integration. Collaborations with industry partners like Nokia highlight applied research. Teaching Teaches courses on network modeling, optimization, and data networking at TUM. Recent offerings include 'Analysis, Modeling, and Simulation of Communication Networks' and 'Communication Networks Modeling and Optimization'.

Hans Hanssonمشاهده پروفایل

استاد

• Real-Time Systems
• Cybersecurity
• Industrial Control Systems
• +۶ مورد دیگر

Hans Hansson is a Professor at Mälardalen University since 1997, leading the Mälardalen Real-Time Research Centre (MRTC) and the strategic profile area Trusted Smart Systems (TSS). He holds multiple degrees from Uppsala University, including an MSc in Engineering Physics and a Doctor of Technology in Computer Systems. His research focuses on real-time systems, cybersecurity, industrial control systems, and safety-critical systems. He has advised over 20 PhD students, five of whom became university professors. Hans has secured over 500 MSEK in external funding from national and European grants. His work spans fault-tolerant systems, embedded software verification, and compositional safety analysis in complex systems. Key projects include the development of the Pkl language for operational design domains, security frameworks for industrial IoT systems (e.g., ICSSIM testbeds), and real-time storage solutions for fog computing. He also chairs the PROGRESS Centre for Predictable Embedded Software Systems. Publications emphasize cybersecurity in industrial systems, safety-critical software design, and real-time scheduling in time-triggered networks. His research bridges theory and practice, addressing challenges in autonomous systems, mining automation, and Industry 4.0.

• Electrical Machines
• Energy Storage Systems
• Power Electronics
• +۳ مورد دیگر

Dr. Nan Zhao serves as Senior Lecturer in Electrical Engineering at Lancaster University's School of Engineering, UK, since 2022. Previously, he held positions as Assistant Professor at University College Dublin (2018-2022) and Sessional Lecturer at McMaster University (2017-2018), where he earned his PhD in Electrical Engineering in 2017. His research spans electrical power engineering with core focus areas including energy storage systems , renewable integration (solar, wind, wave), electric machines , and EV powertrain systems . Current projects involve AI-driven ocean energy arrays and high-performance wave energy conversion systems. His publication record demonstrates deep engagement with power system stability challenges in renewable-dense grids, particularly through virtual synchronous generators and transportable storage solutions. Key editorial activities include contributions to Electronics Letters and IET Renewable Power Generation . His research group actively recruits PhD students and postdocs, with Renqi Guo currently listed as a PhD student. Primary research collaborations occur through the Energy TALOS group. Notable scientific contributions include: Hybrid synchronous condenser-virtual generator systems for microgrid stability (2025) Statistical deadband estimation for transportable energy storage (2025) Novel wave energy conversion grid integration techniques (2024) Dr. Zhao maintains active industry engagement through research on practical grid integration challenges, with recent work addressing frequency response services, curtailment reduction, and cyber-physical grid resilience. His lab focuses on translating theoretical power electronics advances into deployable renewable energy solutions.

Kurt Rothermelمشاهده پروفایل

استاد

• Distributed Systems
• Time-Sensitive Networking
• Networked Control Systems
• +۷ مورد دیگر

Prof. Kurt Rothermel is a faculty member at the University of Stuttgart, specifically affiliated with the Institute for Parallel and Distributed Systems (IPVS) within the Faculty of Computer Science, Electrical Engineering, and Information Technology. His research focuses on distributed systems with particular expertise in time-sensitive networking, networked control systems, and complex event processing. Prof. Rothermel's research interests span multiple areas in distributed computing and networking: Distributed Systems and Networked Control Systems Time-Sensitive Networking and Deterministic Networking Quality of Service (QoS) Management and Optimization Complex Event Processing and Stream Analytics Edge Computing and Real-Time Video Analytics Digital Twin Systems and Proximity-based Services His recent publications (2022-2025) demonstrate a strong focus on time-sensitive networking, with numerous papers addressing scheduling algorithms, conflict graph creation, and latency management for time-triggered communication. There's also significant work on load shedding techniques for resource-constrained environments, particularly for real-time video analytics at the edge. His research increasingly incorporates digital twin systems and explores novel approaches for distributed mobile simulation, as evidenced by his "Persival" framework for handling 3D meshes on AR devices. Prof. Rothermel has made substantial contributions to the field of complex event processing, developing multiple shedding strategies (gspice, hSPICE, pspice) to manage resource constraints while maintaining utility. His work bridges theoretical networking concepts with practical applications in industrial settings, particularly evident in his research on networked control systems and time-sensitive software-defined networks.