جست‌وجوی استاد و پژوهشگر

Meeko Oishiمشاهده پروفایل

استاد

• Autonomous Cyber-Physical Systems
• Human-Centered Control Systems
• Stochastic Reachability Analysis
• +۳ مورد دیگر

Dr. Meeko Oishi is a Professor in the Department of Electrical and Computer Engineering at the University of New Mexico. She holds a PhD in Mechanical Engineering from Stanford University (2004) with a minor in Electrical Engineering, and undergraduate degrees from Princeton University (BS, 1998). Her research focuses on ensuring safety in autonomous cyber-physical systems through stochastic reachability analysis, human-in-the-loop control, and probabilistic methods. Key areas include human-centric system design, motor control in Parkinson's disease, and resilient autonomous systems. Education: PhD, Mechanical Engineering, Stanford University, 2004 MS, Mechanical Engineering, Stanford University, 2000 BS, Mechanical Engineering, Princeton University, 1998 Research Interests: Stochastic reachability and optimal control Human-in-the-loop system design Non-parametric learning and control Cyber-physical system safety Applications in robotics, aerospace, and healthcare Awards & Recognition: NSF BRITE Fellow (2023-2028) Senior Faculty Research Excellence Award (UNM School of Engineering, 2020) NSF CAREER Award (2013) UNM Regents' Lecturer (2015-2018) Truman Fellowship (2005) Advising & Labs: Advises ~30 graduate and undergraduate students in control systems and autonomy Directs the Hybrid Systems and Controls Lab Leads NSF CPS Frontier on Cognitive Autonomy Key Collaborations: NSF RAISE Traineeship (Resilient AI for Autonomous Systems) Clinical testbeds for circadian rhythm research Industry partnerships with Sandia National Labs, AFRL, and aerospace firms

• Planetary Robotics
• Space Exploration
• Autonomous Systems
• +۳ مورد دیگر

Adriana Daca is a Postdoctoral Scholar Research Associate in the Department of Mechanical & Civil Engineering at California Institute of Technology (Caltech). Her research focuses on planetary robotics, autonomous systems, and extraterrestrial terrain mobility. She is actively involved in high-profile space missions such as the Caltech-led Apophis asteroid mission and the NASA CLPS PRISM1 lunar lander mission. Her work integrates mechanical engineering principles with advanced robotics to address challenges in reduced-gravity environments. Her research emphasizes experimental validation of mobility systems, including rover configurations and wheel-soil interaction in planetary regolith. She contributes to the development of autonomous testbeds like O_WLAT (Ocean Worlds Lander Autonomy Testbed), enabling advanced exploration paradigms for icy moons and other celestial bodies. Recent efforts include improving predictive models for rover performance in low-gravity settings through scaled experiments and machine learning techniques. Adriana's technical contributions span from conceptualizing robotic assembly solutions for ESPA-class spacecraft to optimizing landing site selection for lunar missions. Her work bridges theoretical models with practical engineering solutions for future space exploration missions.

Awais Aziz Shahمشاهده پروفایل

مدرس

• Software-Defined Networks (SDN)
• Network Function Virtualisation (NFV)
• Internet-of-Space Things
• +۵ مورد دیگر

Dr. Awais Aziz Shah is a Lecturer in the School of Computing Science at the University of Glasgow, affiliated with the Glasgow Systems Section (GLASS) and Netlab (Networked Systems Research Laboratory). His research focuses on Software-Defined Networks (SDN), Network Function Virtualization (NFV), and resilient network architectures. He holds a PhD from Politecnico di Bari, Italy, where his thesis involved SDN-based frameworks for VNF orchestration in optical networks. He has collaborated with industry partners like SMOptics and Experis, and worked as a Research Fellow on Scotland’s 5G testbed projects. His research interests span container networking, edge computing, anomaly detection, and cybersecurity. He leads projects like COCOON (Horizon Europe) for power grid cyber protection and ECO-INSIGHT (EPSRC) for sustainability-driven AI systems. He supervises PhD students in areas like NFV orchestration and virtual reality applications. He teaches Advanced Networked Systems, Networks and Operating Systems, and Secured Software Engineering courses. Key grants include ORBICULAR (EPSRC) for satellite image recognition and COCOON for smart grid cybersecurity. His work emphasizes practical solutions for low-latency, energy-efficient networks and resilient systems.

Alfredo Gardel Vicenteمشاهده پروفایل

استاد

• Electronics Engineering
• Intelligent Transport Systems
• Signal Processing
• +۷ مورد دیگر

Alfredo Gardel Vicente is a Full Professor in the Department of Electronics at the University of Alcalá. His primary research focuses on electronic engineering applied to intelligent spaces and transport, particularly in the GEINTRA research group. He holds a Doctorate from the University of Alcalá with a thesis on camera calibration in 2004, supervised by Dr. José Luis Lázaro Galilea and Dr. Jean-Marc Lavest. His research interests include visible light communication systems, indoor positioning using PSD sensors, FPGA-based remote laboratories, smart energy communities, and biomedical engineering applications. He has extensively published on topics such as vehicular VLC systems, edge computing for video surveillance, and cooperative demand response frameworks in smart grids. His work bridges hardware design and software solutions, emphasizing practical applications in intelligent transportation, healthcare, and education. Notable contributions include frameworks for STEM remote laboratories and algorithms for optimizing insulin delivery systems using low-power SoCs. Prof. Gardel Vicente actively explores interdisciplinary areas like forensic analysis of embedded systems and event-based sensing for cyber-physical systems. His research often integrates real-world testbeds to validate solutions in energy efficiency, positioning accuracy, and sensor networks.

Ramón Martínez Rodríguez-Osorioمشاهده پروفایل

استاد

• Satellite Communications
• Antenna Systems
• Signal Processing
• +۴ مورد دیگر

Ramón Martínez Rodríguez-Osorio is a Full Professor at the Polytechnic University of Madrid's School of Telecommunications Engineering, Department of Signals, Systems and Radiocommunications. Born in Madrid (1975), he holds a Telecommunications Engineering degree (1999) and completed doctoral studies at UPM. He has been actively involved in research since 1999, focusing on satellite communications, antenna array systems, and machine learning applications in communication networks. Education: Telecommunications Engineering Degree, Polytechnic University of Madrid (1999) PhD in Signals, Systems, and Radiocommunications (UPM) Research Interests: His work centers on satellite communication systems, including adaptive beamforming, antenna array calibration, and interference mitigation. He also explores machine learning for resource management in 5G/6G networks and hybrid beamforming algorithms for VHTS systems. Recent projects include constellation design for non-terrestrial networks and rain attenuation prediction using LSTM networks. Key Projects: European COST project and national/international grants (CICYT, FEDER, INDRA) FUTURE-RADIO, PROMETEO, STAR, and FAST initiatives Development of the HispaSim satellite link optimization tool Awards: Fundación Telefónica Award (2000) for best final degree project Teaching & Innovation: Contributed to hands-on educational projects like antenna design for CubeSats and MIMO-Testbed systems. Co-authored books on modeling/simulation for communication systems and 3G UMTS technologies. Supervised multiple academic activities including thesis and MOOC development. Labs & Teams: Leads research in the LEHA (Laboratorio de Enlace Hiperfrecuencia y Antenas) lab, focusing on satellite link analysis, antenna measurement systems, and 5G terminal testing. Collaborates with industry partners like INDRA on applied research.

Indrajit Rayمشاهده پروفایل

استاد

• Cybersecurity
• Critical Infrastructure Security
• Blockchain Technology
• +۳ مورد دیگر

Indrajit Ray is a Professor and Associate Chair in the Department of Computer Science at Colorado State University . His research focuses on securing critical infrastructures such as electrical grids, transportation systems, telecommunications, and public health against cyberattacks. He holds a Ph.D. in Information Technology from George Mason University. Education: Ph.D. in Information Technology, George Mason University Research Interests: Cybersecurity for critical infrastructure, blockchain-based solutions in healthcare, smart contracts for policy compliance, and resilient cyber-physical systems. His work addresses global cybersecurity challenges, including estimating annual cyberattack costs at up to $10.5 trillion by 2025. Key Contributions: Published widely on topics like secure firmware updates (S-RFUP), the PIT-Cerberus framework for device tamper prevention, and blockchain applications in health insurance fraud prevention. His research also explores AI-driven defense strategies and resiliency modeling for cyber-physical systems. Labs/Teams: Leads projects involving cybersecurity testbeds for industrial control systems and smart home IoT security. Collaborates on frameworks for distributed trust models and enterprise cyber resilience.

Maciej Zawodniokمشاهده پروفایل

دانشیار

• Wireless sensor networks
• Wireless ad-hoc networks
• Passive RFID systems
• +۵ مورد دیگر

Dr. Maciej Zawodniok is an Associate Professor of Computer Engineering at the Missouri University of Science and Technology, part of the College of Engineering. He holds a Ph.D. in Computer Engineering from Missouri S&T (2006) and an M.Sc. in Computer Science from Silesian University of Technology, Poland (1999). His research focuses on adaptive and energy-efficient protocols for wireless networks, cyber-physical systems, and RFID systems. He is an investigator at the Intelligent Systems Center and serves as Assistant Director of the NSF I/UCRC on Intelligent Maintenance Systems. Education: Ph.D. in Computer Engineering, Missouri University of Science and Technology (2006) M.Sc. in Computer Science, Silesian University of Technology (1999) Research Interests: Wireless sensor networks RFID systems Energy-efficient protocols RF-based localization Cyber-physical systems Notable Awards: 2013 Outstanding Branch Counselor (IEEE St Louis Section & Region 5) 2013 Outstanding Teaching Commendation Award 2012 Outstanding New Advisor of the Year Award Advising & Grants: Dr. Zawodniok has led NSF-funded projects including the I/UCRC on Intelligent Maintenance Systems and research on memristors for RFID devices. His work emphasizes practical applications in manufacturing, disaster response, and smart grid systems. Collaborations include industry partners like Amplisine. Labs/Teams: Active in the AutoID Research Group and the Missouri S&T Motes project, focusing on wireless network testbeds and RFID innovations.

Murat Torlakمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• Antenna Systems
• +۷ مورد دیگر

Murat Torlak is a Professor in the Department of Electrical Engineering at the University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science. He holds a Ph.D. in Electrical Engineering from the University of Texas at Austin (1999), an M.S. from The University of Texas at Austin (1995), and a B.S. from Hacettepe University (1992). His research focuses on wireless communications, signal processing, MIMO systems, and automotive radar technologies. He has led projects on 4G/5G network optimization, spectrum sensing, and RF interference mitigation. Research interests include optimizing radio link protocols, cognitive radio networks, and antenna array design. Notable contributions include advancements in beamforming, MIMO testbed development, and real-time implementation of wireless systems. He has received grants totaling over $2M, including funding from NIH, NSF, and Texas Instruments. His work on automotive radar signal processing and mmWave imaging has been highlighted in news articles, emphasizing innovations in multi-user MIMO and global roaming technologies. Awards include the 2004 IEEE Outstanding Service Award and a 2001 Best Paper Award. His lab collaborates on projects like the 'Generic Autonomous Platform for Sensor Systems' (GAP4S) and cochlear implant stimulation systems. Grants: Over 15 funded projects, including NIH grants for cochlear implant research and Texas Instruments grants for OFDM systems. Awards: IEEE honors, NSF fellowships, and industry accolades. Projects: Developed MIMO-SAR mmWave imaging testbeds and advanced interference mitigation techniques.

Roy G.J. Damgraveمشاهده پروفایل

استادیار

• Virtual Reality
• Augmented Reality
• Synthetic Environments
• +۹ مورد دیگر

Roy G.J. Damgrave is an Assistant Professor at the Laboratory of Design, Production and Management, Faculty of Engineering Technology, University of Twente. His work integrates Virtual and Augmented Reality, Synthetic Environments, and digital twin technologies into product development and smart manufacturing processes. He is actively involved in both research and education, supervising student theses and contributing to curricula in Industrial Design Engineering and Mechanical Engineering. His research focuses on decision-making support for technology implementation in multi-stakeholder industrial settings, particularly within Industry 4.0. He manages the Virtual Reality and Smart Industry Lab, where immersive technologies are applied to enhance manufacturing, remote collaboration, and maintenance processes. His work contributes to UN Sustainable Development Goals related to industry, innovation, and infrastructure. Roy Damgrave's recent publications highlight trends in mixed reality applications for railway maintenance, digital twinning in SMEs, AR-based engineering education, and HMLV manufacturing insights. His work spans computer science, engineering, and human factors, emphasizing practical implementation and strategic integration of immersive technologies. Research Affiliate, International Academy for Production Engineering (CIRP) Member, Industrial Reality Hub Member, EuroXR Association Collaborator, Fraunhofer Project Center at University of Twente He actively supervises student projects and thesis work in engineering and design, though specific student names are not listed. His grants and funding sources are not explicitly mentioned, but his affiliations suggest involvement in collaborative and applied research initiatives. He is also engaged in educational innovation, testing new teaching methods in his courses. The Virtual Reality and Smart Industry Lab, which he manages, serves as a central hub for synthetic environment research, supporting prototyping, remote collaboration, and smart industry testbed development. This lab enables experimental validation of digital systems in real-world industrial contexts.

Savvas Chatzichristofisمشاهده پروفایل

استاد

• Artificial Intelligence
• Computer Vision
• Robotics
• +۶ مورد دیگر

Savvas Chatzichristofis is a Professor of Artificial Intelligence and Head of the Department of Computer Science at Neapolis University Paphos (NUP). He also serves as Vice-Rector of Research and Innovation, overseeing strategic R&D initiatives. His research focuses on AI, computer vision, robotics, and their applications in education, urban systems, and autonomous systems. Education: Holds a Diploma (M.Eng.) and Ph.D. in Computer Vision from Democritus University of Thrace. Previously served as a special scientist, visiting lecturer, and researcher at multiple institutions. Research Interests: AI-driven educational technologies Robotics in pedagogy and industry Autonomous systems (UAVs/AUVs) Blockchain for sustainability monitoring Machine learning optimization Notable Projects: NOPTILUS: Autonomous underwater/air vehicle navigation sfly: Swarm robotics for mapping EU-funded projects on smart cities and green bonds Publications span AI ethics, UAV efficiency, educational robotics, and blockchain frameworks, with over 50 peer-reviewed articles since 2011.

Paul Groganمشاهده پروفایل

دانشیار

• Engineering Design
• Systems Engineering
• Strategic Engineering
• +۶ مورد دیگر

Paul Grogan is an Associate Professor at Arizona State University (ASU) within the School of Computing and Augmented Intelligence, part of the Fulton Schools of Engineering. He has held previous academic positions at Stevens Institute of Technology and completed postdoctoral research at MIT. His expertise spans strategic engineering, collaborative systems design, and Earth-observing space missions. Grogan leads research on distributed and decentralized systems, focusing on applications in space exploration, terrestrial infrastructure, and resource management. His work integrates design science, economics, and information science to improve cross-organizational collaboration in engineering design. Education: Ph.D. Engineering Systems, Massachusetts Institute of Technology (2014) S.M. Aeronautics and Astronautics, MIT (2010) B.S. Engineering Mechanics, University of Wisconsin-Madison (2008) Research Interests: Grogan’s research emphasizes design theory , collaborative engineering , and modeling/simulation . His team develops frameworks for analyzing distributed systems, such as satellite constellations and infrastructure networks. Key areas include: Game-theoretic approaches to resource allocation Strategic decision-making in multi-stakeholder environments Simulation tools for space logistics and Earth science missions Awards: National Science Foundation CAREER Award (2020) NDSEG Fellowship (2010) Robert C. Byrd Honors Scholarship (2003) Advising & Grants: Grogan oversees research grants totaling over $5M, including NASA-funded projects on new observing strategies and Earth science missions. He advises graduate students and collaborates with organizations like SpaceNet and the Institute for Data, Systems, and Society . His lab (CODE Lab) develops tools like the Tradespace Analysis Tool for Constellations (TAT-C) . Labs & Teams: He directs the CODE Lab , focusing on collaborative design experiments, digital twins, and space system architecture. Ongoing projects include the New Observing Strategies Testbed (NOS-T) for Earth science mission simulation.

Andrew Scottمشاهده پروفایل

مدرس ارشد

• Operating Systems
• Systems Architecture
• Network Testbeds
• +۶ مورد دیگر

Andrew Scott is a Senior Lecturer in the School of Computing and Communications at Lancaster University, where he has been a member since the late 1980s. He initially worked in the Distributed Multimedia Research Group and established Lancaster's IPv6 group in 1997, which evolved into the Mobile IPv6 Systems Research Laboratory. His foundational work includes developing the university's web presence and regional wireless network (Cleo). His research spans operating systems, systems architecture, network testbeds, and protocols for mobile/ad-hoc systems, with specialization in embedded systems including mobile devices, sensor networks, and tele-health. Current projects focus on large-scale testbed deployments through EU initiatives like Intersection and ANA, alongside UK Level-0 networks. Recent publications demonstrate cross-disciplinary applications of his networking expertise, particularly in energy informatics for renewable systems integration. Andrew Scott's contributions have been recognized with significant awards: Microsoft Windows Embedded Academic Excellence Award (presented by Bill Gates) Lancaster University Prize for Commercialisation Microsoft MVP designation He leads major research initiatives including the EU Intersection project, EU ANA project on autonomic networking, GpENI, UK Level-0 networks, REPLICATE (2023-2024), and the Enable Ancillary Services project (2018-2021), while serving as evaluator for EU IST and UK EPSRC programs. Scott directs the Mobile IPv6 Systems Research Laboratory centered around industrial-scale network testbeds and continues to advance wireless infrastructure through Cleo network evolution.

Florian T. Pokornyمشاهده پروفایل

دانشیار

• Robotics
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Florian T. Pokorny is an Associate Professor in Machine Learning at the Division of Robotics, Perception and Learning (RPL), Department of Electrical Engineering and Computer Science (EECS), KTH Royal Institute of Technology. He coordinates research projects such as the Horizon Europe-funded SoftEnable and the WASP-funded Intelligent Cloud Robotics for Real-Time Manipulation at Scale . His research focuses on data-driven methods for robotic manipulation, including transfer learning, cloud robotics, and caging-based manipulation of rigid and deformable objects. Education: PhD in Mathematics, University of Edinburgh (supervisor: Michael Singer) MSc in Advanced Study in Mathematics (Part III), University of Cambridge BSc in Mathematics, University of Edinburgh Research Interests: His work emphasizes scalable robotic manipulation, leveraging deep learning and geometric/topological methods. Key areas include training data requirements, transfer learning, and cloud robotics paradigms for manipulation at scale. Recent projects explore energy margin analysis, caging-guided morphology optimization, and robust policy learning. Publications: His recent work spans topics like caging-based manipulation, federated learning, and cloud robotics infrastructure. Notable contributions include CageCoOpt (manipulation robustness), CloudGripper (open-source testbed), and RealCraft (zero-shot video editing). Awards & Grants: Funded by WASP, Horizon Europe, and the Knut and Alice Wallenberg Foundation. His group hosts the CloudGripper platform and collaborates on benchmarks like DLO@Scale. Advising & Labs: Supervises multiple PhD students and research engineers. Alumni include Robert Gieselmann (Amazon Robotics), Yiannis Karayiannidis (Chalmers University), and Anastasiia Varava (Postdoc at KTH). Active in organizing workshops like RoDGE (IROS 2025) and ICRA 2025 robotics learning events.

• Robotics
• Additive Manufacturing
• Medical Diagnostics
• +۳ مورد دیگر

Dr. Panos S. Shiakolas is a tenured Associate Professor in the Department of Mechanical and Aerospace Engineering at The University of Texas at Arlington . He earned a PhD in Mechanical Engineering (1992) and BS/MS at The University of Texas at Austin (1986/1988). His career spans robotics, additive manufacturing, medical diagnostics, and control systems, with a focus on micro-devices for medical applications and human-robot interaction . He has mentored numerous students in competitive design contests and developed educational testbeds for robotics and control systems. Research Emphasis : 1) Micro-scale biomedical devices for diagnostics/prognostics in confined anatomical spaces; 2) Additive manufacturing process monitoring; 3) Human-robot interaction for assistive prosthetics; 4) Engineering education pedagogy. His publications cover robotic calibration, laser micromachining, medical device design, and finite element analysis. Awards include multiple Research Excellence Awards at UTA, best paper recognitions, and industry-sponsored design competition wins. He holds memberships in ASME and the National Academy of Inventors .

• Plasma Technology
• Photovoltaics
• Renewable Energy Systems
• +۳ مورد دیگر

Christoph Ellert is a Full Professor at HES-SO Valais-Wallis, part of the School of Engineering and Technology and IT Department. He holds a PhD in Physics from the University of Freiburg (1995), followed by postdoctoral research at the National Research Council Ottawa (Canada) and CEA Grenoble/Paris (France). His expertise spans plasma technology, photovoltaics, and renewable energy systems. Research Focus: Ellert leads projects on plasma-enhanced thin film deposition, DC microgrids for renewable energy integration, green hydrogen production, and plasma-based food decontamination. Key innovations include a novel DC microgrid with predictive energy management, plasma reactors for solar thermal applications, and cold plasma systems for sterilizing food powders. Projects: Developed a semi-autonomous DC-microgrid with 700V bus, integrating PV, battery storage, and electrolysis (2017-2019) Launched a plasma-based food powder sterilization system (2014-2015) Pioneered PECVD methods for hematite thin films (2014-2015) Advanced electrolyzer design for industrial scaling (2022) Lab Infrastructure: Ellert oversees facilities at HES-SO Valais-Wallis including a plasma deposition lab, DC microgrid testbed, and biogas upgrading demonstrator. Collaborates with academia (EPFL, HEIA-FR) and industry partners (Oerlikon Solar, Studer Innotec).