جست‌وجوی استاد و پژوهشگر

Mohamed Atiaمشاهده پروفایل

دانشیار

• Sensor Fusion
• Autonomous Systems
• Embedded Systems
• +۱۲ مورد دیگر

Mohamed Atia is an Associate Professor in the Department of Systems and Computer Engineering at Carleton University's Faculty of Engineering and Design. He conducts research in sensor fusion for autonomous systems, including robotics, autonomous vehicles, and the Internet of Things, with an emphasis on real-time embedded implementation. PhD, Electrical and Computer Engineering, Queen’s University (2013) M.Sc., Computer Systems, Ain Shams University (2006) B.S., Computer Systems, Ain Shams University (2000) His research focuses on sensor fusion , integrating data from heterogeneous sensors such as GNSS, IMU, Vision, Radar, and LiDAR under real-time constraints on embedded platforms like FPGAs and microcontrollers. He applies advanced signal processing, estimation theory, machine learning, and AI to solve challenges in state estimation, observability, fault tolerance, and concurrency management. Dr. Atia’s work has applications in intelligent vehicles, indoor navigation, mobile robotics, smart buildings, medical devices, and remote sensing . He leads a research lab focused on embedded multi-sensor systems, where students develop practical solutions for autonomous navigation and SLAM. His teaching emphasizes hands-on learning through labs and projects. He teaches undergraduate courses in computer systems, embedded systems, and signal processing, and a graduate course (SYSC 5807) on Advanced Topics in Computer Systems, specifically Sensor Fusion Systems . Scientific Awards: Alberta Innovate Association Award (2011) IEEE Excellence in PhD Research (2013) Mitacs Elevate Industrial Postdoc Award (2014) NSERC PDF Award (2015) Queen’s University Teaching Award (2016) Dr. Atia has advised graduate students such as Hamza Sadruddin and Alan Zhang , who have presented at IEEE Sensors and ION GNSS+ conferences, with Zhang winning Best Presentation. He has no listed grants in the provided text but has received prestigious fellowships. His research lab supports innovation in real-time embedded sensor fusion with links to industry and open-source tools.

Kang Zhaoمشاهده پروفایل

استاد

• Data Science
• Social Network Analysis
• Business Analytics
• +۱۲ مورد دیگر

Kang Zhao is the Leonard A. Hadley Professor in Business Analytics and Senior Associate Dean at the Tippie College of Business, University of Iowa. He holds a faculty appointment in the Department of Business Analytics and is affiliated with the Interdisciplinary Graduate Program in Informatics. He previously served as Department Executive Officer (2023–2025) and Faculty Director of the Master of Business Analytics program (2020–2023). His educational background includes: PhD in Information Sciences and Technology, Pennsylvania State University MS in Computer Science, Eastern Michigan University BE in Electrical and Information Engineering, Beijing Institute of Technology Dr. Zhao's research lies at the intersection of data science and network analytics, focusing on social and business networks. His work explores social influence, engagement, and health outcomes in online health communities; develops advanced recommendation systems for social media and live streaming platforms; applies 'people analytics' to scholarly and sports data; models information and behavior diffusion; and analyzes supply chain network resilience. His research has been featured in prominent media outlets such as MIT Technology Review, Forbes, BBC, and The Washington Post. The 15 most recent publications reflect a strong trend in applying graph neural networks, dynamic representation learning, and deep learning to model complex networked systems in health, finance, and social media. Key themes include user engagement prediction, misinformation diffusion, stock movement forecasting, and personalized recommendations using temporal and structural network data. His scientific achievements have been recognized with numerous awards: Top Cited Article, Journal of the Association for Information Science and Technology (2024, 2023) Journal of Operations Management Ambassador Award (2024) Charles A. Taff Research Excellence Award, Tippie College of Business (2023) Best Paper Award, INFORMS Workshop on Data Science (2017) Early Career Faculty Research Award, Tippie College of Business (2016) Dr. Zhao has successfully led multiple research grants as Principal or Co-Principal Investigator from the National Science Foundation (NSF), National Institutes of Health (NIH), and the Institute of Museum and Library Services. His projects span topics including gender gaps in academic science, smoking cessation networks, misinformation in health communities, and disaster resilience in public libraries. He actively mentors a cohort of PhD and master’s students, many of whom have secured positions in academia and leading industry firms. He also contributes to the academic community through editorial roles at top journals such as Decision Support Systems , Electronic Commerce Research and Applications , and Journal of the Association for Information Science and Technology . He leads the Data and Network Analytics Research Group at the University of Iowa, which focuses on cutting-edge research in network science, machine learning, and data mining applied to real-world social and business problems.

Hanjun Kimمشاهده پروفایل

پژوهشگر

• Compiler Design
• Machine Learning
• Parallel Computing
• +۳ مورد دیگر

Hanjun Kim is a researcher at Yonsei University, focusing on compiler design, machine learning optimization, and hardware-aware programming techniques. His work bridges theoretical research with practical implementations in embedded systems and security domains. Research Interests Compiler-driven optimization for PIM (Processing-in-Memory) architectures Homomorphic encryption compiler design Parallel computing for DNN/LLM inference Network function program analysis Recent research trends include: application of compiler techniques to optimize resource utilization in heterogeneous computing environments, particularly for AI workloads and secure computation. His publications demonstrate expertise in tackling performance bottlenecks through architectural and compiler co-design. Conference Service 2025 SPLASH OOPSLA Review Committee 2025 LCTES Program Committee 2024 CGO Program Committee 2023 LCTES Program Committee 2022 CGO Organization Committee 2020 LCTES Program Committee

• Computer Architecture
• High-Performance Computing
• Multicore and Manycore Systems
• +۷ مورد دیگر

Miquel Moreto Planas is a Senior Lecturer in the Department of Computer Architecture at the Barcelona School of Informatics, Universitat Politècnica de Catalunya (UPC). He is also affiliated with the Barcelona Supercomputing Center (BSC-CNS), a leading institution in high-performance computing. His academic profile is deeply rooted in computer architecture and high-performance computing, with a strong emphasis on practical and theoretical advancements in multicore systems, memory management, and hardware acceleration. His research interests span a wide range of topics including computer architecture, high-performance computing, multicore and manycore systems, cache and memory management, hardware acceleration for genomics and AI, RISC-V processor design, processing-in-memory, interconnection networks, and real-time systems. These interests are reflected in his extensive publication record and collaborative projects. The most recent articles highlight a significant trend toward interdisciplinary research, particularly the application of advanced computer architecture techniques to bioinformatics and healthcare. Key themes include the acceleration of genomic sequence alignment using novel hardware such as processing-in-memory, the development of benchmarks for ARM-based HPC systems in genomics, and the creation of AI-based 3D decision support tools for neurosurgical applications. His work also continues to advance core computer architecture topics like cache management, power-aware resource allocation in heterogeneous systems, and the design of secure, post-quantum cryptographic hardware based on RISC-V. Fulbright Award 2011 HiPEAC Paper Award HiPEAC Paper Award 2024 HiPEAC Paper Award Moreto has been a principal investigator or key contributor to multiple competitive R&D+i projects, such as the STRATUM project for neurosurgical tools, REDIOH for open hardware, and the Laboratorio Zettaescala de Barcelona. He has advised several doctoral students, including López, G., Kostalampros, I., and Haghi, A., and is a core member of the CAP (High Performance Computing) research group at UPC. His work is characterized by strong collaborations with leading researchers like Mateo Valero, Eduard Ayguadé, and Jesús Labarta, often bridging the gap between UPC and BSC-CNS. His laboratory and team affiliations are centered around the CAP group and the Barcelona Supercomputing Center, where he contributes to cutting-edge research in high-performance and embedded computer architectures. His recent work on the BIMSA accelerator and the STRATUM project demonstrates a clear future direction toward applying high-performance computing solutions to critical problems in genomics and medicine.

• Cloud Computing
• Peer-to-Peer Systems
• Distributed Networks
• +۱۲ مورد دیگر

Felix Urs Erich Freitag is an Associate Professor in the Department of Computer Architecture at the Barcelona School of Informatics (FIB), Universitat Politècnica de Catalunya (UPC). He is a key member of the CNDS - Computer Networks and Distributed Systems research group, where he actively contributes to projects in cloud computing, peer-to-peer systems, and IoT networking. His primary research interests include Cloud Computing , Peer-to-Peer (P2P) Systems , Internet of Things (IoT) , LoRa Mesh Networks , Federated Learning , Edge Computing , and Blockchain for IoT . His work spans from fundamental networking protocols to applied research on decentralized systems and sustainable digital technologies. He has also contributed to educational innovation through open project-based learning methodologies. Dr. Freitag's recent publications highlight a strong focus on integrating AI with low-power IoT networks, particularly using LoRa technology for federated learning and secure, decentralized identity solutions. His work demonstrates a clear trend towards enabling intelligent, trustworthy, and resource-efficient distributed systems at the network edge. Scientific Awards: 1er Premi UPC de Ciència Oberta 2024 He has been involved in significant research and innovation projects, including European H2020 and Horizon Europe initiatives, often in collaboration with colleagues like Leandro Navarro and Roque Meseguer. His research is supported by competitive grants focused on digital, industry, and space technologies. He also contributes to educational innovation projects and has supervised student theses, fostering a collaborative research environment within the UPC. His work is associated with the development of experimental testbeds and software libraries for LoRa mesh networks and federated learning, indicating a hands-on approach to building and validating distributed systems.

• Acoustic Pollution
• Low-Cost Noise Sensors
• Digital Signal Processing
• +۱ مورد دیگر

Guillermo Quintero Perez is a Senior Lecturer at the Department of Mechanical Engineering , Technical University of Catalonia . His work focuses on acoustic pollution , low-cost noise sensors , digital signal processing , and noise mapping . He collaborates with researchers like Jordi Romeu and Andreu Balastegui on urban noise monitoring projects. Research Interests : Developing low-cost noise sensors for scalable urban monitoring Optimizing noise mapping through mobile sampling and data stratification Applying digital signal processing to environmental acoustics Investigating sound insulation properties of metamaterial structures Publications : His recent work (2024) includes studies on broadband noise reduction in acoustic windows and compliance testing for low-power sensors. Earlier contributions (2023-2017) explore statistical models for noise estimation, cluster analysis for temporal stratification, and sensor network deployment.

Shuai Zhaoمشاهده پروفایل

استادیار

• Power Electronics
• Reliability Engineering
• Machine Learning
• +۴ مورد دیگر

Shuai Zhao is an Assistant Professor at the AAU Energy Department, Faculty of Engineering and Science, Aalborg University. His research focuses on applying machine learning and artificial intelligence techniques to enhance reliability and condition monitoring in power electronic systems, with specific interests in lifetime estimation, fault diagnosis, and health management of critical components like capacitors and semiconductor devices. Institution: Aalborg University School: Faculty of Engineering and Science Department: AAU Energy Email: szh@energy.aau.dk His research spans multiple domains including: Physics-informed machine learning for power converter systems Remaining useful life prediction with hybrid Bayesian deep learning Thermal transient analysis and stress emulation methods IoT-enabled monitoring schemes for semiconductor devices Neural network applications in lithium-ion battery prognostics Recent publications show a strong trend toward integrating domain-specific physics with machine learning frameworks to address real-world challenges in: Power electronics reliability under operational stress Anomaly detection in multivariate time-series data Robust fault diagnosis for railway traction systems Temperature estimation in electric vehicle motors Imbalanced data handling in diagnostic systems Capacitance degradation modeling under environmental factors Current projects demonstrate collaboration with leading institutions on: AI-assisted long-term maintenance strategies Physics-informed neural network architectures Smart agricultural monitoring systems via IoT platforms Advanced particle filter methods for life prediction

Mitra Baratchiمشاهده پروفایل

دانشیار

• Spatio-Temporal Data Analysis
• Machine Learning
• Mobility Data Modeling
• +۵ مورد دیگر

Mitra Baratchi is an Associate Professor at the Leiden Institute of Advanced Computer Science (LIACS) , Leiden University. She leads the Spatio-temporal data Analysis and Reasoning (STAR) research group, co-leads the Automated Design of Algorithms (ADA) group, and founded the Special Interest Group on Spatio-Temporal Data Mining (SIG-SDTM) . PhD from University of Twente (Mobility Data) Master’s/Bachelor’s in Computer Engineering, Iran Research Interests focus on automated pattern extraction from spatio-temporal data across urban, environmental, and industrial domains. Key applications include: Automated Machine Learning (AutoML) for Earth Observations Time-Series Forecasting for public health (e.g., pandemic modeling) Urban Mobility Optimization with ESA, Honda, and municipalities Reliable Vehicular Communication Systems Smart Garments for Health Risk Detection Geocast Protocols for Internet-wide Communication Grant Highlights include €120K NWO-Aspasia, €2.9M Marie Skłodowska-Curie, €350K NWO-KLEIN, and €135K Center for BOLD Cities funding. She has supervised 12 PhD students and 4 current Master’s students since 2011, with notable best paper award at WWIC'16. Teaching includes Machine Learning (2020-present) and Urban Computing (2018-present) at Leiden, plus past courses in Data Visualization, Software Engineering, and Research Methods.

Sha Towersمشاهده پروفایل

استاد

• Book Arts
• Calligraphy
• Artists' Books
• +۵ مورد دیگر

Sha Towers serves as Associate Dean of Research and Engagement and Librarian at Baylor University, providing administrative leadership across University Libraries in public services, research, space planning, and user engagement. He leads the division of Research & Engagement, overseeing the liaison librarian program, instruction and information literacy, data and digital scholarship, public services for Moody and Jones Libraries, and the Arts and Special Collections Research Center. BA (Music), Baylor University MA (Music), Baylor University MLIS (Academic Libraries), University of Texas at Austin Towers is a visual artist specializing in calligraphic and book arts, with his artist's books appearing in private and university special collections across the United States and featured in international juried exhibitions. He is the founder and curator of the Baylor Book Arts Collection and serves as liaison librarian to the departments of Art & Art History and Theatre. His research interests focus on book arts, calligraphy, artists' books, library science, academic liaison work, and special collections. His scholarly output shows a consistent focus on library engagement, relationship-building in academic settings, and the intersection of book arts with academic librarianship. Towers has developed significant expertise in the 'hangout factor' of academic liaison work and has contributed substantially to understanding engagement models in academic libraries. President of Association of College and Research Libraries Arts Section (2019) Book Art Special Interest Group Co-Coordinator for Art Libraries Society of North America (2016-present) Peer Reviewer for Art Documentation: Journal of the Art Libraries Society of North America (2017-present) President of Art Libraries Society of North America / Texas-Mexico Chapter (2015) Fellow of the Harvard Leadership Institute for Academic Librarians (2011) Towers has secured research funding including an Altmetric Annual Research Grant (2020) for investigating metrics for creative and performing arts faculty. He has mentored through his leadership roles and contributed significantly to library instruction and collection development, particularly in the arts. His work with the Baylor Book Arts Collection has created a significant resource for students and faculty, with over 2100 works from artists globally. As founder and curator of the Baylor Book Arts Collection, Towers has established specialized spaces and programs supporting book arts creation and scholarship. His work with the Book Arts & Letterpress Lab demonstrates commitment to hands-on learning and creation in the book arts medium.

Marika Apostolova Trpkovskaمشاهده پروفایل

دانشیار

• Cybersecurity
• Blockchain Technology
• Industrial Internet of Things (IIoT)
• +۴ مورد دیگر

Marika Apostolova Trpkovska is an Associate Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (Tetovo, Macedonia). Her academic work spans cybersecurity, blockchain technology, and educational technology with a focus on Industrial IoT security, semantic web applications, and digital learning systems. PhD in Computer Science (Specialty: e-Medical Services based on Semantic Web) MSc in Software Development and Applications BSc in Computer Sciences Her research covers cybersecurity frameworks for Industrial IoT, blockchain applications in public administration, and educational technology innovations including VR/AR integration and gamification. She has published extensively in international conferences and journals on these topics, with recent works focusing on machine learning-enhanced security protocols and decentralized real estate management systems. Current publications (2023-2024) highlight her expertise in IIoT security standards, smart contract development using Ethereum/IPFS, and cybersecurity threat modeling. Earlier works examine e-learning systems implementation, gender disparities in CS research, and real-time operating system validation. She serves as part-time academic staff member while maintaining technical roles in learning management system administration (LIBRI, ANGEL) and teaching responsibilities across software engineering, algorithms, and programming disciplines.

Friedrich Jasperمشاهده پروفایل

پژوهشگر

• Life Cycle Assessment
• Sustainable Energy Technologies
• Battery Technologies
• +۳ مورد دیگر

Friedrich Jasper is a Doctoral student and Scientific staff member at the Institute for Technology Assessment and Systems Analysis (ITAS) within the Karlsruhe Institute of Technology (KIT), actively contributing to the Research group 'Research for Sustainable Energy Technologies' and the POLiS Cluster of Excellence on Post Lithium Storage. His educational background includes: M.Sc. in Industrial Engineering from Karlsruhe Institute of Technology (2021-2023) B.Sc. in Industrial Engineering from Karlsruhe Institute of Technology (2016-2021) Semester abroad at Université Grenoble Alpes (2023) Semester abroad at Universidad del Pais Vasco (2019) Jasper's research centers on system analysis and life cycle assessment (LCA) of Post-Lithium Battery technologies, with emphasis on sodium-ion systems. He investigates environmental impacts of cathode materials like Prussian White and NVP/C using primary data, identifying sustainability hotspots across battery lifecycles. His work integrates techno-economic and socio-environmental dimensions to support climate-friendly energy storage development and policy decisions, addressing challenges in data availability and interdisciplinary collaboration. Analysis of his publication trends reveals consistent focus on prospective sustainability assessment of emerging battery technologies, particularly sodium-ion systems. His research bridges early-stage development with real-world applications, emphasizing circular economy principles, resource criticality, and environmental impact quantification. Key methodological contributions include primary-data-driven LCA frameworks and interdisciplinary integration approaches for battery sustainability evaluation. Scientific awards: None documented in available information. Jasper has no recorded advisees or formal student supervision. His research is embedded within the POLiS Cluster of Excellence and 'Sustainable and safe concepts for climate-friendly shipping' project, though specific grant details are not publicly enumerated. Collaborative work spans institutions including KIT, Université Grenoble Alpes, and international networks. He operates within ITAS's 'Research for Sustainable Energy Technologies' group, which conducts interdisciplinary systems analysis for energy transition challenges. Current work includes sodium-ion battery LCA, sustainable shipping concepts, and hybrid energy storage assessment, leveraging KIT's infrastructure for sustainable technology development.

Nathir Rawashdehمشاهده پروفایل

استادیار

• Image Processing
• Autonomous Vehicles Perception
• Mobile Robot Applications
• +۷ مورد دیگر

Nathir Rawashdeh is an Assistant Professor in the Department of Applied Computing at Michigan Technological University , with an affiliated appointment in Electrical and Computer Engineering . He is a Senior Member of the IEEE and a member of the Institute of Computing and Cybersystems (ICC) and Great Lakes Research Center . Education: Ph.D., Electrical Engineering, University of Kentucky, 2007 MS, Electrical and Computer Engineering, University of Massachusetts, Amherst, 2003 BS, Electrical Engineering, University of Kentucky, 2000 Dr. Rawashdeh's research focuses on unmanned vehicle perception , image analysis , control systems , and mechatronics , with applications in autonomous driving, winter weather adaptation, and industrial automation. His work includes sensor fusion, deep learning, and AI-enhanced manufacturing solutions. Recent publications highlight advancements in winter weather autonomous driving , UV disinfection robotics , and AI-driven industrial inspection systems . His research spans mechatronics curriculum development, industry 4.0 integration, and cross-cultural educational initiatives. Scientific Awards: Senior Member of the IEEE Dr. Rawashdeh has secured over $2 million in funding from organizations including the NSF , Ford Motor Co. , NIST , and the European Commission . His grants support projects like GPU clusters for research, winter weather autonomous driving standards, and UV sterilization robotics. He leads the Mobile Robotics Lab at Michigan Tech, focusing on collaboration and innovation in autonomous systems and mechatronics research.

Anjali Adukiaمشاهده پروفایل

استادیار

• Educational inequality
• Economics of education
• Child development
• +۵ مورد دیگر

Anjali Adukia is an assistant professor at the University of Chicago Harris School of Public Policy and the founder and director of the MiiE Lab (Messages, Identity, and Inclusion in Education). She is a faculty research fellow at the National Bureau of Economic Research (NBER) in the Economics of Education and Children and Families groups, a research fellow at the IZA Institute of Labor Economics, a non-resident fellow at the Center for Global Development, and an affiliate of the Bureau for Research and Economic Analysis of Development (BREAD). Dr. Adukia earned her doctoral degree from Harvard University Graduate School of Education with a focus on the economics of education, along with master's degrees in international education policy and higher education from Harvard. She completed her undergraduate studies in molecular and integrative physiology at the University of Illinois at Urbana-Champaign. Her interdisciplinary background bridges the natural sciences with social science research methods. Her research explores how to reduce inequalities so children from historically disadvantaged backgrounds have equal opportunities to develop their potential. She examines factors influencing educational decisions and the role of institutions in improving child outcomes, particularly at the intersection of education and health. Adukia's work draws on large-scale data, often using artificial intelligence methods to expand social science tools and data sources. Her research spans educational infrastructure, representation in children's literature, restorative justice practices, and urban-rural educational disparities. Her publications reveal consistent themes in educational equity, with particular focus on how school infrastructure (like sanitation facilities), representation in educational materials, and disciplinary practices impact student outcomes. She employs innovative computational methods to analyze large datasets, including applying AI tools to measure representation in children's books and examining textbook content across different educational systems. NSF CAREER Award in economics (2024-2029) SREE Early Career Award (2023) William T. Grant Foundation Scholar Award (2018-2023) NAEd/Spencer Postdoctoral Fellowship (2018) APPAM PhD Dissertation Award (2014) AEFP Jean Flanigan Outstanding Dissertation Award (2015) 2021 Google Customer Award for Education Dr. Adukia serves on the editorial boards of Education Finance and Policy, Journal of Research on Educational Effectiveness, and Journal of Social Computing (IEEE). She organizes the annual AI in Social Sciences conference at the University of Chicago and continues to work with international non-governmental organizations including UNICEF and Manav Sadhna in Gujarat, India. Her research has been featured in major media outlets including The Economist, Wall Street Journal, Washington Post, and NPR.

Edmund Spencerمشاهده پروفایل

دانشیار

• Space Plasma Physics
• Space Weather
• Radio Frequency Instrumentation
• +۳ مورد دیگر

Dr. Edmund Spencer is an Associate Professor in the Department of Electrical and Computer Engineering at the University of South Alabama , with research focused on space plasma physics and space weather . He designs advanced instruments for space science, develops theoretical frameworks for plasma characterization, and applies stochastic optimization algorithms to complex systems. Ph.D. Electrical and Computer Engineering, University of Texas at Austin M.S. Electrical and Computer Engineering, University of Texas at Austin B.S. Electrical and Electronics Engineering, University of Leicester, UK His work bridges space instrumentation with nonlinear magnetospheric dynamics , particularly in geomagnetic substorms and solar wind-earth magnetosphere interactions . Current projects include onboard space weather modules for satellites and advanced antenna systems for CubeSats . Recent research trends from his 15 most recent publications (2019-2025) include: Development of time-domain impedance probes for ionospheric electron density measurements Applications of machine learning in substorm prediction Hybrid physics-black-box modeling for Dst index forecasting Advanced antenna designs for small satellites 3D Particle-in-Cell simulations for RF instruments Collisional effects in plasma probe measurements Scientific contributions include: NSF CAREER Award (2013) for RF impedance probe development Key role in NASA's USIP CubeSat missions (e.g., JAGSAT I) Leveraging WINDMI model for substorm dynamics analysis He teaches graduate and undergraduate courses in electromagnetics and stochastic processes , contributing to the department's space science integration in engineering education.

Sergio Montenegroمشاهده پروفایل

استاد

• Aerospace Information Technology
• Dependable Computing
• Distributed Systems
• +۶ مورد دیگر

Prof. Dr.-Ing. Sergio Montenegro is a Professor of Aerospace Information Technology at Julius-Maximilians-University Würzburg, where he leads the Chair of Computer Science VIII. His academic journey includes a Bachelor's in Computer Science from Universidad del Valle de Guatemala (1978-1982), a Diploma from Technische Universität Berlin (1983-1985), and a Dr.-Ing. from TU Berlin (1989). Prior to joining academia, he held positions as a software developer (1979-1982), research coordinator at Fraunhofer Gesellschaft (1985-2007), and Head of Department at DLR (2007-2010). His research focuses on dependable distributed systems for aerospace applications, including satellite networks, real-time operating systems (RODOS), UAV swarm control, fault-tolerant architectures, and space mission software. Key projects span satellite formation flight (TET, AsteroidFinder), solar sail missions, distributed avionics (VIDANA), and medical IoT systems. Recent publications (2018) demonstrate strong emphasis on distributed spacecraft systems, UAV navigation, fault tolerance, and software engineering for space applications. Trends include miniaturized satellite technologies, decentralized control algorithms, real-time OS verification, and Java-based space systems. He leads research in distributed computing networks and UAV laboratories, supervising projects like VaMEx-LaOLA (Mars exploration) and ultra-wideband positioning systems. Though no awards are documented, he has coordinated over 100 projects including ESA and DLR missions.