جست‌وجوی استاد و پژوهشگر

Christof Röhrigمشاهده پروفایل

استاد

• Robotics
• Mobile Robotics
• Wireless Sensor Networks
• +۳ مورد دیگر

Christof Röhrig is a Professor at the FH Dortmund - University of Applied Sciences and Arts , conducting research at the Institute for the Digitalization of Work and Living Environments (IDiAL). He leads the Intelligent Mobile Systems Lab , focusing on robotics, wireless sensor networks, and kinematic modeling. His research spans mobile robotics , indoor localization , and industrial automation , with a strong emphasis on IoT , 5G networks , and rescue robotics . Key trends in his recent work include LoRaWAN localization , modular robot design , and digital twin architecture . He collaborates extensively on motion control , sensor fusion , and energy-efficient systems , though no specific students, awards, or grants are listed in the provided data. The lab at IDiAL explores robotics in emergency response and industrial IoT applications , with a focus on precision localization and collaborative automation .

• Wireless Networking
• Mobile Ad Hoc Networks
• Mobility Modeling
• +۵ مورد دیگر

Tracy Camp is a Professor in the Department of Computer Science at Colorado School of Mines, College of Applied Science and Engineering. With a distinguished career spanning over three decades, she has established herself as a leading researcher in wireless networking, mobility modeling, and computing education. Her work has evolved from foundational research in mobile ad hoc networks to impactful contributions in broadening participation in computing. Dr. Camp's research interests span wireless networking, mobility modeling, machine learning applications in networking, and computer science education. Initially focusing on mobility models for ad hoc networks, she published seminal work including the widely cited survey 'A survey of mobility models for ad hoc network research' (2002). More recently, her work has shifted toward computing education, particularly broadening participation in computing, K-12 teacher preparation, and supporting underrepresented students through scholarship programs like S-STEM. Her recent publications reveal a strong emphasis on machine learning applications for network security, particularly in analyzing encrypted messaging applications and smart device traffic. Simultaneously, she has become a national leader in departmental strategies for broadening participation in computing, developing frameworks for BPC (Broadening Participation in Computing) plans that are now required by the NSF. Dr. Camp has been instrumental in developing the CS@Mines program, creating successful scholarship ecosystems for low-income and underrepresented students, and leading Colorado's strategic approach to prepare K-12 computer science teachers. Her work bridges technical research with practical educational initiatives that address critical challenges in the computing field. She has served in leadership roles for major computing education conferences including SIGCSE, where she has contributed to shaping the national conversation about computing education, enrollment surges, and diversity in the field. Her collaborative work with organizations like CRA-W (Computing Research Association-Women) demonstrates her commitment to addressing systemic issues in computing.

Stephan Preihsمشاهده پروفایل

پژوهشگر

• Acoustics
• Digital Signal Processing
• Audio Coding
• +۶ مورد دیگر

Stephan Preihs is a postdoctoral researcher and group leader at the Institute of Communications Technology of the Leibniz University Hannover , with a focus on acoustics, digital signal processing, and immersive audio systems. He received his Dipl.-Ing. in electrical engineering (communications engineering) from the same university in 2010 and his Dr.-Ing. in 2016. Education: Dipl.-Ing., Electrical Engineering (Communications Engineering), Leibniz University Hannover (2010) Dr.-Ing., Leibniz University Hannover (2016) Research Interests: Acoustics for immersive audio reproduction Digital signal processing and audio coding Signal detection/classification Psychoacoustic models Audio transmission for PMSE Recent Article Trends: Deep learning in sound source localization Wind turbine noise analysis via immersive audio Advancements in headphone technology Immersion prediction in spatial audio Low-latency communication protocols Scientific Awards: Best Paper Award at IEEE International Workshop on Networked Immersive Audio (2024) AES Show 2024 Best Technical Paper Award AES Spring 2021 Student Paper Award AES Poster Award 2019 AES Convention Student Paper Award 2019 Teaching: Lecturer for '3D Audio - Fundamentals of Spatial Reproduction Systems' Lecturer for 'Applications of Digital Audio Signal Processing' Coordinator of student laboratories in 'Audio Communication and Acoustics' and 'Transmission Technology'

Leonardo Tonettoمشاهده پروفایل

پژوهشگر

• Mobile User Modeling
• Deep Learning
• Data Analysis
• +۶ مورد دیگر

Leonardo Tonetto is a researcher at Technical University of Munich (TUM) within the Chair of Connected Mobility, working under Prof. Jörg Ott. His office is located in FMI 01.05.038 and he maintains an active presence in both academic research and open-source development with significant GitHub contributions (19 repositories, 73 stars). His work bridges theoretical research and practical implementation in mobility systems. Dr. Tonetto's research spans Mobile User Modeling , Deep Learning & Data Analysis , Signal Processing , and Complex Networks . His work demonstrates particular expertise in extracting meaningful patterns from human mobility data while addressing critical privacy concerns. Recent publications show increasing focus on ethical implications of location-based data and energy-efficient computing for augmented reality applications. Analysis of his publication record from 2014-2025 reveals a consistent research trajectory evolving from fundamental mobility pattern analysis toward more complex systems integrating privacy considerations and energy efficiency. His work increasingly intersects computer science with social implications, particularly in location-based services and epidemic modeling. The research shows strong methodological diversity, employing machine learning, network analysis, and signal processing techniques across various application domains. Through his GitHub profile and open-source contributions, Tonetto demonstrates commitment to reproducible research and community engagement. His technical skills span multiple programming languages and systems, supporting both theoretical research and practical implementation of mobility-aware systems. While specific grant information isn't publicly available, his consistent publication output suggests successful research funding.

• Networking
• Distributed Systems
• Network Security
• +۳ مورد دیگر

Siegmar Sommer is a Researcher at the Humboldt University of Berlin , affiliated with the Institute of Computer Science under the Faculty of Mathematics and Natural Sciences . He has worked at the university since 1986 in various technical and scientific roles. Dipl.-Ing. in Computer Engineering (1982) Dr.-Ing. in Computer Science (1986) Postgraduate studies in Higher Education (1990) His research focuses on networking , distributed systems , and network security , with historical contributions to optical information transmission , LAN protocols , and security-relevant systems . His work bridges hardware-software co-design and educational theory in technical disciplines. The 1980s-1990s articles highlight expertise in LAN architecture, optical communication, and security frameworks. Keywords span Networking , Operating Systems , and Education , with subfields like Fiber Optic Networks , CSMA/CD Protocols , and Higher Education Curriculum . He contributed to the Computer Engineering Group and holds a patent for " Bus Access Method for a Local Computer Network " (1986). His teaching legacy includes courses on programming languages (BASIC, PASCAL, PEARL), computer graphics, and modern topics like Wireless Communication Systems and Reliable Distributed Systems . Contact: Email: sommer@informatik.hu-berlin.de Phone: +49 30 2093-41256 Office: Room IV.303, Rudower Chaussee 25, Berlin-Adlershof

Ralf Salomonمشاهده پروفایل

استاد

• Embedded Systems
• Localization and Positioning
• Time Interval Measurement
• +۱۲ مورد دیگر

Ralf Salomon is a Professor at the Faculty of Computer Science and Electrical Engineering , University of Rostock , Germany. He holds the title of Prof. Dr.-Ing. habil. and is actively involved in research and teaching in embedded systems, localization, and signal processing. University: University of Rostock School: Faculty of Computer Science and Electrical Engineering Position: Full Professor Contact: Room 201, Tel: +49 381 498 7260 His research focuses on high-precision time measurement , ambient assisted living , industrial embedded systems , and localization technologies . He applies bio-inspired principles, particularly from the barn owl auditory system, to develop low-cost, high-accuracy systems. His work spans health monitoring (e.g., fall detection, cochlear implants), sports technology, and animal experimentation systems. The recent publications (2020–2025) show a strong trend in sensor systems , embedded vision , and real-time measurement , with applications in sports, healthcare, and automation. His work combines theoretical innovation with practical implementation, often using FPGAs and microcontrollers. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: He advises students such as Theo Gabloffsky , who co-authors multiple publications and assists in teaching. He has led multiple funded projects including Welisa (DFG Graduate College) , iHeal , CurlDat , and BOUNCE . Many of his projects focus on health, localization, and embedded intelligence. Labs and Teams: He collaborates closely with researchers like Ralf Joost , Matthias Hinkfoth , Gerald Bieber , and Marian Lüder . His team develops FPGA-based systems, embedded sensors, and intelligent algorithms for real-world applications in health, industry, and sports.

Frank Golatowskiمشاهده پروفایل

پژوهشگر

• Real-Time Embedded Systems
• Distributed Embedded Systems
• Service-oriented Architectures for Embedded Systems
• +۷ مورد دیگر

Frank Golatowski is a researcher at the University of Rostock, affiliated with the Faculty of Computer Science and Electrical Engineering, Institute of Computer Science. He is actively engaged in research and teaching in the field of embedded systems, with a focus on real-time, distributed, and secure architectures for IoT and medical applications. His research interests include: Real-Time and Distributed Embedded Systems Service-oriented Architectures for Embedded Systems Resource-constrained IoT Systems Engineering Safety and Security for Dependable Systems Medical and Industrial Embedded Systems Dr. Golatowski is currently leading or participating in several major research projects funded by BMBF, BMWK, BBSR, and EU programs, including GenerIoT, 6G-Health, KliNet5G, SUSTAIN, and PnP-EMS. His work emphasizes secure, lightweight software deployment, localization in medical networks, IIoT security, and energy management in smart buildings. He has been actively involved in the academic community, serving as program chair, track chair, and publication chair for IEEE conferences such as WFCS, ETFA, and ICPS, and as a TPC member for RSSRail and IECON. He is also a member of the IEEE IES Technical Committee on Factory Automation and OR.NET e.V. Dr. Golatowski teaches advanced courses including Distributed Embedded Systems , Real-Time Systems , and Selected Topics in Medical Embedded Systems at the graduate level. Although no specific publications are listed in the provided text, his work is indexed via Google Scholar, ORCID, and ResearcherID, indicating an established research profile.

• Visible Light Communication
• Optical Wireless Communication
• Mobile Ad Hoc Networks
• +۳ مورد دیگر

Thomas D. C. Little is a Professor at Boston University, USA, specializing in Visible Light Communication (VLC), Optical Wireless Communication, and Mobile Ad Hoc Networks. His research focuses on hybrid RF/VLC systems, interference mitigation, and dynamic network optimization under illumination constraints. Recent work includes 3D localization via zone-based positioning Dynamic FOV receiver optimization Multi-tier transmission for 5G Li-Fi Security-aware OFDM modulation Research interests center on integrating optical wireless with traditional RF networks, developing energy-efficient communication protocols, and creating positioning systems for smart spaces. Publications analyze spectral efficiency, channel modeling, and coexistence strategies in dense optical environments. Collaborations span institutions in the USA and Germany, with applications in Industry 4.0 and coastal monitoring systems. His team has contributed to ns-3 simulator extensions for VLC, beam control in FSO systems, and interference analysis in optical networks. Current projects address reconciling SNR models and optimizing handover parameters via Q-learning for heterogeneous deployments.

• Intelligent Transportation Systems
• Connected and Autonomous Vehicles
• Vehicular Networks
• +۶ مورد دیگر

Daxin Tian is a prominent professor at Beihang University's School of Transportation Science and Engineering, specializing in intelligent transportation systems and vehicular networks. With over 170 publications spanning from 2006 to 2025, his research has significantly contributed to the advancement of connected and autonomous vehicle technologies. His work appears consistently in top-tier IEEE journals including IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles, and IEEE Internet of Things Journal, establishing him as a leading authority in the field. Professor Tian's research interests encompass several critical areas in modern transportation technology: Connected and Autonomous Vehicle Systems Vehicular Networking and Communication Protocols Vehicle Platooning and Cooperative Driving Algorithms Edge Computing Applications for Transportation Computer Vision for Autonomous Driving Perception Traffic Flow Optimization and Prediction Models Resource Allocation in Vehicular Networks His recent publications demonstrate an increasing sophistication in addressing complex multi-vehicle scenarios while maintaining practical considerations like communication reliability, energy efficiency, and safety constraints. The research trajectory shows a clear evolution from foundational networking and control problems toward more integrated AI-driven solutions that combine computer vision, natural language processing, and advanced control theory for next-generation transportation systems. Professor Tian maintains extensive international collaborations, particularly with researchers at Canadian institutions including Victor C. M. Leung's group, while leading a substantial research team at Beihang University. His work frequently bridges theoretical advances with practical transportation challenges, resulting in numerous high-impact publications that address real-world implementation barriers in intelligent transportation systems.

Abdelhak M. Zoubirمشاهده پروفایل

استاد

• Statistical Signal Processing
• Cooperative Sensor Communications
• Radar Imaging
• +۵ مورد دیگر

Abdelhak M. Zoubir is a Professor of Signal Processing and Head of the Signal Processing Group at Technische Universität Darmstadt, Germany. He has held leadership roles including Head of the Department of Electrical Engineering and Information Technology (2012–2014 and 2020–2022), and President of the European Association for Signal Processing (EURASIP, 2017–2018). His research focuses on statistical signal processing with applications in radar imaging, biomedical engineering, and automotive systems. Zoubir has authored over 500 publications and is a Fellow of IEEE and EURASIP. He currently leads projects on radar communication integration, robust signal processing algorithms, and radiation-hardened sensor development. Education: Dipl.-Ing. (BSc/MSc) from Fachhochschule Niederrhein and Ruhr-Universität Bochum, followed by a Dr.-Ing. (PhD) in Electrical Engineering from Ruhr-Universität Bochum (1992). Research Interests: Bootstrap techniques, robust detection/estimation, cooperative sensor networks, radar for landmine detection, and automotive safety systems. He has pioneered methods in robust statistical signal processing, including low-rank matrix completion and sparsity-aware algorithms. Recognition: Recipient of the IEEE Meritorious Service Award (2018), IEEE Signal Processing Magazine Best Paper Award (2017), and the M. Barry Carlton Award (2014). He has been a keynote speaker at major conferences such as ICASSP and EUSIPCO, and served as Editor-in-Chief of the IEEE Signal Processing Magazine (2012–2014). Current Projects: Focus on automotive radar signal processing, radiation-hardened sensors (MALTA), and distributed learning robustness. His work bridges theoretical advancements with practical applications in defense, healthcare, and automotive industries.

• Medical Image Analysis
• Computer Vision
• Deep Learning
• +۳ مورد دیگر

Pan Pan is a Professor in the Department of Biomedical Engineering at Huazhong University of Science and Technology, with extensive research contributions spanning medical image analysis, computer vision, and underwater wireless communications. Their work demonstrates strong interdisciplinary collaboration between biomedical engineering and computer science, with significant industry partnerships including Alibaba. Research interests focus on medical image analysis (particularly automatic breast ultrasound systems), deep learning applications in healthcare diagnostics, and secure underwater communications . Their work bridges theoretical advances with practical clinical applications, developing innovative segmentation algorithms, tumor detection systems, and secure communication protocols for specialized environments. Analysis of recent publications reveals a strong trend toward integrating multi-modal data fusion techniques with uncertainty-aware deep learning models for medical diagnostics. The research spans both fundamental algorithm development (novel segmentation networks, feature matching optimization) and domain-specific applications (ABUS tumor detection, ICU mortality prediction, underwater sensor networks). Pan Pan maintains active collaborations with major Chinese technology companies and academic institutions, evidenced by the consistent publication record in top-tier conferences including CVPR, ICCV, and NeurIPS. While specific awards aren't documented in the provided materials, the research impact is demonstrated through numerous high-impact publications across computer vision and biomedical engineering venues. The research program shows particular strength in translating computer vision techniques to medical applications, with significant contributions to semi-supervised learning approaches for medical image segmentation where labeled data is scarce. Recent work also demonstrates growing interest in secure communications for specialized environments like underwater sensor networks.

Michael Cochezمشاهده پروفایل

استادیار

• Machine Learning
• Knowledge Graph Embedding
• Semantic Web
• +۵ مورد دیگر

Michael Cochez is an Assistant Professor in the Learning and Reasoning group at the Faculty of Science, Vrije Universiteit Amsterdam . His research focuses on Machine Learning , Knowledge Graph Embedding , and Prototype-Based Ontologies , with applications in Scalable Hierarchical Clustering , Ontology Matching , and Knowledge Evolution . He teaches Intelligent Systems , Data Mining , and Machine Learning courses. His research explores integrating Knowledge Graphs into end-to-end ML models , addressing challenges in Approximate Query Answering and Knowledge Representation . He has also contributed to Multi-Agent Systems and Cloud Communication through projects like Graphino.nl (his consultancy business). His students include Jiawen Chen (supervised thesis on Smart Semantic Multi-channel Communication ).

Vlad-Costin Andreiمشاهده پروفایل

پژوهشگر

• Integrated Sensing and Communications (ISAC)
• Digital Twinning
• Neuromorphic Computing
• +۵ مورد دیگر

Vlad-Costin Andrei is a Researcher at the Chair of Theoretical Information Technology , Technical University of Munich (TUM), specializing in wireless communication systems and digital twinning. He joined the ACES Lab (TUM's Chair of Theoretical Information Technology) in late 2021 after 3.5 years in the aerospace and defense industry. Research Focus: Joint Communications and Sensing (6G), Neuromorphic PHY Layer, Digital Twins, MIMO-OFDM Resilience Projects: 6G-life, 6G Future Lab Affiliation: ACES Lab, TUM His work bridges theoretical foundations with practical implementations, including demonstrations of digital twinning platforms and sensing-assisted receivers. Recent publications emphasize anti-jamming frameworks, federated learning over wireless networks, and trajectory optimization for UAV-enabled ISAC systems. Scientific Awards: Best Paper Award, IEEE Symposium on Joint Communications and Sensing (2023) His research is supported by third-party grants such as BMBF's 6G-life, DFG's Gottfried Wilhelm Leibniz Prize, and multiple collaborative projects.

• Antenna Engineering
• Radar Technology
• Electromagnetic Fields
• +۳ مورد دیگر

Prof. Dirk Heberling is a Universitätsprofessor at RWTH Aachen University, leading the Institute for High Frequency Technology. His research focuses on advanced antenna systems, radar technology, and electromagnetic field exposure assessment in 5G/6G networks. He specializes in high-frequency components, including leaky-wave antennas, reconfigurable intelligent surfaces, and robot-based antenna measurement systems. His work addresses challenges in antenna design, signal processing, and environmental compliance for next-generation communication infrastructure. Key research areas include: Development of wideband antennas for IoT and smart building applications Numerical analysis of near-field antenna measurements and phase recovery techniques Assessment of radio frequency exposure from massive MIMO base stations using digital twins Integration of radar systems with automotive technologies for self-localization and object detection Optimization of antenna arrays to mitigate grating lobes and phase synchronization issues His lab operates a state-of-the-art robot-based mm-wave test system capable of spherical near-field measurements and real-time auralization of aircraft noise. This infrastructure supports both fundamental research and industry collaborations in telecommunications, automotive radar, and environmental monitoring. Current projects emphasize: Exposure modeling for 6G networks considering increased base station utilization Generative adversarial networks for radar data synthesis Calibration techniques for polarimetric radar systems

• Wireless Communications
• Radio Channel Modeling
• Millimeter Wave Propagation
• +۶ مورد دیگر

Jun-ichi Takada is a prominent researcher in wireless communications with extensive contributions to radio channel modeling, millimeter wave propagation, and wireless body area networks. His work spans over 15 years with consistent high-impact publications in IEEE journals and conferences. Dr. Takada's research focuses on several key areas in wireless communications: Advanced radio channel modeling for 5G/6G systems Millimeter wave propagation characteristics in various environments Wireless body area network (WBAN) channel characterization Channel sounding and measurement techniques Indoor and outdoor propagation modeling Antenna design and performance evaluation Wireless localization and spectrum sharing techniques Analysis of Dr. Takada's recent publications (2022-2025) reveals a strong focus on next-generation wireless systems, with particular emphasis on site-specific channel modeling for 5G/6G, millimeter wave applications, and innovative measurement techniques. His work increasingly integrates machine learning approaches with traditional signal processing methods for wireless channel analysis and human detection applications. Dr. Takada has collaborated extensively with researchers across Japan and internationally, demonstrating leadership in several major research projects related to wireless communications standardization and development.