جست‌وجوی استاد و پژوهشگر

• Distributed Systems
• Wireless Communication
• Disruption-Tolerant Networking
• +۴ مورد دیگر

Bernd Freisleben is a Professor at Philipps University of Marburg in the Department of Mathematics and Computer Science, leading the Distributed Systems research group. His work focuses on distributed systems, wireless communication, and emergency communication networks. He is affiliated with the Verteilte Systeme (Distributed Systems) group and the emergenCITY project, emphasizing resilient disaster communication and smart city technologies. Research interests include disruption-tolerant networking (DTN), machine learning applications in multimedia analysis, and energy-efficient wireless protocols. His group develops tools like ProgDTN for programmable DTN and the BatRack device for wildlife monitoring. Students under his supervision include Hicham Bellafkir (PhD since 2021), Markus Sommer (PhD since 2020), and Daniel Schneider (PhD since 2020). Key projects include Nature 4.0, a networked sensor system for biodiversity monitoring, and the ForestEdge initiative for unobtrusive environmental monitoring. Recent publications highlight work on resilient networks, deep learning for multimedia, and bio-inspired data storage solutions.

• Ad-hoc Wireless Networks
• Resilient Disaster Communications
• Disruption-Tolerant Networking
• +۴ مورد دیگر

Markus Sommer is a Research Fellow at Philipps-Universität Marburg's Department of Mathematics and Computer Science, affiliated with the Distributed Systems Group (AG Freisleben). He holds a Master of Science in Computer Science (2020) and is pursuing a PhD in Computer Science since 2020. His research focuses on resilient communication systems for disaster scenarios, ad-hoc wireless networks, and software-defined networking architectures. He is a core member of the LOEWE center emergenCITY, specializing in crisis communication technologies. Key technical expertise includes Python and Go programming, disruption-tolerant networking (DTN), and protocol design for wireless edge devices. He contributes to projects like ProgDTN (programmable DTN) and QUICL (QUIC-based DTN convergence layer), emphasizing network function virtualization and energy-efficient decentralized communication. Recent work emphasizes low-cost LoRa-based crisis communication systems, energy-efficient multi-hop broadcasting, and unobtrusive mechanism interception for enhancing legacy network systems. His research bridges theoretical networking models with practical implementations for real-world disaster response scenarios.

• Hardware Security
• Machine Learning for Security
• VLSI Design
• +۷ مورد دیگر

Sai Manoj Pudukotai Dinakarrao is a Professor in the Department of Computer Engineering at Rochester Institute of Technology's College of Engineering. He is an active researcher with numerous publications spanning hardware security, machine learning applications, VLSI design, and IoT security. His work focuses on developing innovative solutions for security challenges in hardware and embedded systems. Dr. Dinakarrao's research interests center around hardware security, machine learning for security applications, VLSI design methodologies, and IoT security frameworks. His work has pioneered approaches to hardware Trojan detection, processing-in-memory architectures, and energy-efficient security mechanisms for resource-constrained devices. He has made significant contributions to the understanding of hardware vulnerabilities and the development of robust countermeasures. His recent publications demonstrate a clear trend toward integrating machine learning techniques with hardware security solutions, particularly focusing on processing-in-memory architectures for efficient security implementations. His work spans both theoretical foundations and practical implementations, with applications in IoT security, malware detection, and hardware verification. The research shows increasing sophistication in addressing security challenges through novel hardware-software co-design approaches. Dr. Dinakarrao has mentored numerous graduate students who have co-authored publications with him, indicating an active research group focused on cutting-edge security and hardware design topics. His collaborations span multiple institutions and research groups, demonstrating his integration within the broader academic community.

Damu Dingمشاهده پروفایل

پژوهشگر

• Network Security
• DDoS Detection
• Programmable Network Devices
• +۵ مورد دیگر

Dr. Damu Ding is a researcher specializing in network security and programmable data planes, currently affiliated with the Department of Computer Science and Engineering at the University of Bologna. With a PhD completed in 2021 from the same institution, Dr. Ding has established a robust research profile focused on leveraging programmable network devices for security applications and network monitoring. Dr. Ding's research interests center around network security mechanisms, particularly DDoS detection systems implemented directly within programmable switches using the P4 language. Their work bridges theoretical network security concepts with practical implementations in modern data plane programmable networks. Key areas of investigation include network traffic entropy analysis, flow cardinality estimation, volumetric attack detection, and in-network machine learning applications. Analysis of Dr. Ding's publication record from 2019-2024 reveals a consistent research trajectory focused on pushing security functionality into the network data plane. The publications demonstrate increasing sophistication in leveraging programmable switches for security applications, moving from basic heavy-hitter detection to complex DDoS mitigation systems and in-network machine learning. This research sits at the intersection of networking, security, and systems, with strong practical implications for modern network infrastructure. Dr. Ding has established productive collaborations with researchers including Marco Savi, Domenico Siracusa, and Noa Zilberman, resulting in numerous publications in top networking venues including IEEE Transactions on Network and Service Management, IEEE Transactions on Dependable and Secure Computing, and INFOCOM. Their work has been published in both journal and conference formats, demonstrating impact across the networking research community. As a researcher who completed their PhD relatively recently (2021), Dr. Ding represents an emerging voice in the network security and programmable networking space, with a growing body of work that addresses critical challenges in modern network security architectures.

• Digital Signal Processing (DSP)
• Field-Programmable Gate Arrays (FPGA)
• Machine Learning Hardware Acceleration
• +۱۳ مورد دیگر

Gian Carlo Cardarilli is a researcher specializing in digital hardware design and machine learning acceleration. His work focuses on FPGA implementations, Residue Number System (RNS) architectures, and reconfigurable computing for applications in wireless communication, edge AI, and fault-tolerant systems. Key collaborations with institutions like IEEE and ACM through publications. Active in translating theoretical algorithms into practical hardware solutions for real-time systems. Research interests include: Optimizing deep learning models for heterogeneous platforms. Developing radiation-hardened memory systems. Creating energy-efficient signal processing architectures. Advancing reconfigurable functional units for embedded processors. His article analyses span fields like Quantum Cellular Automata , Variable Fractional Delay Filters , and RNS-Based Position Estimation , reflecting a trend toward adaptive, low-power, and domain-specific hardware.

Rui Liمشاهده پروفایل

پژوهشگر ارشد

• Nanoarchitected Metamaterials
• Microrobotics
• Femtosecond Laser Printing
• +۴ مورد دیگر

Dr. Rui Li serves as a Postdoctoral Researcher and Emmy-Noether Group Leader at the Karlsruhe Institute of Technology's Institute of Nanotechnology, specializing in the Mechanics of Nanoscale Materials research unit. Based in Eggenstein-Leopoldshafen, Germany, her work pioneers femtosecond laser-based fabrication techniques for functional nanoarchitectures with direct biomedical applications, particularly in microrobotics for targeted therapy and microscale manipulation within physiological environments. Her research spans four interconnected domains: Nanoarchitected Metamaterials: Designing materials with engineered nanoscale architectures for enhanced mechanical, magnetic, and optical properties Advanced Microfabrication: Developing femtosecond laser 3D/4D printing methods for metals, alloys, and polymers at micro/nanoscale resolution Intelligent Microrobotics: Creating magnetically actuated microswimmers capable of complex locomotion in biological fluids and adaptive shape-morphing Biomedical Translation: Applying microscale systems to cancer therapy, neural tissue engineering, and microfluidic manipulation Dr. Li's interdisciplinary approach integrates mechanical engineering principles with cutting-edge materials science to solve critical challenges in minimally invasive medicine. Analysis of her 15 most recent publications (2021-2025) reveals a strategic evolution from fundamental fabrication techniques toward increasingly sophisticated functional systems. Key trends include: Transition from static microstructures to reconfigurable, environmentally adaptive microrobots with multi-stimuli responsiveness Integration of multi-material printing (metals, alloys, polymers) to achieve unprecedented functional complexity Development of blood-flow-compatible magnetic actuation systems enabling in vivo navigation Convergence of optical, magnetic, and thermal control mechanisms for precise spatiotemporal manipulation This trajectory demonstrates a clear focus on translating nanoscale material innovations into clinically viable microscale robotic solutions. No scientific awards or fellowship distinctions were documented in the source materials. Similarly, there is no mention of graduate student supervision or externally funded research grants. Dr. Li leads the Emmy-Noether-funded Nanoarchitected Metamaterials group within KIT's Institute of Nanotechnology infrastructure, leveraging the Karlsruhe Nano Micro Facility's (KNMF) advanced femtosecond laser systems and cleanroom facilities. Her team maintains active collaborations across KIT's engineering and medical faculties to advance microscale robotic systems for biomedical applications.

Christian Heidornمشاهده پروفایل

پژوهشگر

• Deep Learning
• Hardware-Software Co-Design
• Neural Networks
• +۵ مورد دیگر

Christian Heidorn is a Researcher at the Chair of Computer Science 12 (Hardware-Software Co-Design) within the Department of Computer Science at Friedrich-Alexander University Erlangen-Nürnberg (FAU), Germany. He has held this position since 2018 and teaches "Fundamentals of Computer Engineering" regularly across multiple semesters. His educational background includes an M.Sc. in Medical Engineering (2015-2018) and a B.Sc. in Medical Engineering (2012-2016), both from FAU. Born in 1989 in Dachau, Germany, he maintains an office in Room 02.128 at Cauerstr. 11, Erlangen. Dr. Heidorn's research focuses on the Application of Deep Learning on Tightly Coupled Processor Arrays and Invasive Computing . His work bridges medical engineering with computer architecture, particularly emphasizing neural network deployment on specialized hardware. His research projects include OpTC and KISS Invasive Computing, which optimize neural networks for embedded systems and processor arrays. His recent publications demonstrate a strong trend toward efficient neural network deployment on embedded systems, with emphasis on automotive applications (AURIX microcontrollers), hardware-aware neural network pruning, and processor array optimization. His work spans both theoretical neural architecture search and practical implementations for real-world applications. His notable scientific contributions include: Development of the OpTC toolchain for neural network deployment on automotive microcontrollers Hardware-aware evolutionary filter pruning techniques for CNNs ALPACA: An accelerator chip design for nested loop programs Efficient mapping of CNNs onto tightly coupled processor arrays Dr. Heidorn has supervised numerous Master's and Bachelor's theses on topics ranging from neural network compression to robotic hand control using EMG data and processor array optimization. His advising reflects his dual expertise in medical engineering and computer architecture, with many projects focusing on practical embedded applications of deep learning. He is actively involved in research projects related to invasive computing and tightly coupled processor arrays, with a particular focus on making deep learning more accessible on resource-constrained devices for automotive and medical applications.

Christian Wischkeمشاهده پروفایل

استاد

• Polymer-based drug delivery systems
• Controlled drug release
• Biopharmaceutics
• +۶ مورد دیگر

Christian Wischke is Professor of Biopharmacy and Controlled Delivery Systems at Martin Luther University Halle-Wittenberg, Faculty of Natural Sciences, Institute of Pharmacy Biopharmacy Department. He assumed this position in 2021 after serving as Head of the Pharmaceutical Technology group (renamed Medical Device Fabrication Schemes in 2021) at the Institute of Active Polymers from 2011-2021. His research program centers on multifunctional polymer-based carrier systems, adapted carriers for local release and cell modulation, and structure-function relationships of carrier systems. With expertise spanning pharmaceutical technology, polymer science, and biomedical engineering, his work aims to develop advanced drug delivery platforms that respond to physiological conditions for improved therapeutic outcomes. Analysis of his publication record (2006-2025) reveals a strong focus on shape-memory polymers, microfluidic fabrication techniques, nanoparticle design, and controlled release systems. His recent work explores innovative approaches to protein encapsulation, stress-induced sequential release systems, and composition-dependent protein-material interactions, demonstrating continuous evolution in research sophistication. Prof. Wischke maintains extensive collaborations, particularly with Andreas Lendlein, resulting in numerous high-impact publications in journals including International Journal of Pharmaceutics, ACS Omega, and Journal of Controlled Release. His ORCID ID (0000-0001-5531-9033) documents his scholarly contributions across pharmaceutical sciences and biomaterials engineering.

• Virtual Reality
• Multimedia Systems
• Network Protocols
• +۷ مورد دیگر

Mario Montagud Climent is a researcher at Centrum Wiskunde & Informatica (CWI) , focusing on virtual reality (VR), extended reality (XR), and multimedia systems. His work bridges network protocols, human-computer interaction, and immersive technologies. Key contributions: Multi-party holographic meetings, Edge rendering architectures, and XR quality of experience (QoE) optimization Collaborations: Sergi Fernández, Pablo César, Gianluca Cernigliaro, and other international experts in VR/XR Research spans network programmability for adaptive XR, holographic communications , and explainable AI for spatial audio analysis. Publications highlight QoE assessment and low-cost immersive solutions . Recent articles address real-time multiuser systems, neural 3D reconstruction for UAVs, and 6G federation concepts. His work integrates 5G/6G technologies with applications in cultural heritage and social VR.

Wolfram Perniceمشاهده پروفایل

استاد

• Photonics
• Neuromorphic Computing
• Quantum Technologies
• +۴ مورد دیگر

Prof. Dr. Wolfram Pernice is a Professor at the University of Münster, affiliated with the Physics Institute and CeNTech. His research focuses on photonics, neuromorphic computing, quantum technologies, and optomechanical systems. He leads the Pernice Lab: Responsive Nanosystems, which explores integrated photonic circuits, phase-change materials, and neuromorphic hardware. Prof. Pernice participates in the 'Cells in Motion' initiative and supervises the CiM-IMPRS Graduate Programme. He has received an ERC Consolidator Grant and leads projects like PHOENICS (funded by Horizon 2020), aiming to develop energy-efficient photonic computing systems. His educational contributions include teaching courses such as 'Physics II' and seminars on quantum technologies and nanophysics. He advises over 20 graduate students and collaborates with institutions like Heidelberg University and the Leibniz University Hannover. Notable achievements include pioneering work on all-optical neural networks and photonic tensor cores, published in Nature and Nature Photonics . Lab facilities include the Münster Nanofabrication Facility, enabling advanced nanoscale device fabrication. Current research emphasizes photonic in-memory computing, quantum integrated devices (ORQUID project), and neuromorphic architectures (Fun-COMP).

• Networking
• Edge Computing
• 5G/6G Technologies
• +۵ مورد دیگر

Dr. Giang T. Nguyen is an academic researcher affiliated with Dresden University of Technology (Germany), specializing in advanced networking technologies. His primary affiliation is with the College of Computer Science and the Department of Networking and Communication Systems. He collaborates extensively with Prof. Frank H. P. Fitzek and other researchers on cutting-edge projects. Research Interests: Giang's work focuses on Network Functions Virtualization (NFV) , Edge Computing , Time-Sensitive Networking (TSN) , 5G/6G Technologies , and In-Network Computing (COIN) . He explores applications in industrial automation, tactile internet, and immersive media delivery, with a strong emphasis on latency reduction and network reliability. Publications: His recent work includes advancements in programmable network coding, TSN testbed development, and latency-optimized architectures for XR and IoT systems. Over 100+ publications since 2013 reflect his contributions to edge computing frameworks, network simulation tools (e.g., ns-3, OMNeT++), and collaborative SLAM systems. Key Projects: He leads initiatives like the TSN-FlexTest measurement testbed and the NET Playground heterogeneous network lab. His research bridges theoretical networking concepts with practical implementations in industrial robotics and emergency response systems.

Martin Botteckمشاهده پروفایل

استاد

• Multimedia Systems
• Embedded Systems
• Wireless Communication
• +۱۲ مورد دیگر

Prof. Dr.-Ing. Martin Botteck is a faculty member at South Westphalia University of Applied Sciences, where he leads courses in the Department of Engineering and Economics. He holds a professorship in engineering disciplines, with a focus on multimedia systems and embedded technologies. Education: Dipl.-Ing. and Dr.-Ing. in Electrical Engineering from TU Dortmund Research Interests: Multimedia systems, embedded architectures, digital signal processing, wireless communication, and virtualization Recent Work: Developments in music data analysis frameworks, power modeling for embedded processors, and security through virtualization Publications: Spanning IEEE journals, international conference proceedings, and book chapters His academic contributions include peer-reviewed articles on mobile media search, music classification, and embedded device security. He holds the IEEE Senior Member distinction and has served on program committees for international conferences.

• Network Management
• Cloud Computing
• Internet of Things
• +۳ مورد دیگر

Liane Margarida Rockenbach Tarouco is a researcher at the Federal University of Rio Grande do Sul in Porto Alegre, Brazil. Her work bridges network management and educational technology, focusing on innovative applications of virtual reality, IoT, and cloud computing. Key research areas: network management systems Key research areas: immersive educational environments Key research areas: IoT security frameworks Key research areas: cloud monitoring architectures While her publications often focus on technical implementations, she has pioneered the use of virtual worlds and chatbots in educational contexts, particularly for mathematics and algorithm training. Her collaborations span institutions and disciplines, with Lisandro Zambenedetti Granville and others.

Nicholas Raceمشاهده پروفایل

استاد

• Software Defined Networking
• Network Functions Virtualisation
• Network Security
• +۷ مورد دیگر

Nicholas Race is Professor of Networked Systems at Lancaster University's School of Computing and Communications, where he also serves as Associate Dean for Research in the Faculty of Science & Technology. His academic career at Lancaster spans from Research Assistant (2000-2001) to his current position as Professor (2017-present). His research focuses on developing future networking services built upon Software Defined Networks and Network Functions Virtualisation. Key areas include: Software Defined Networking for security applications and intrusion detection Network Functions Virtualisation for new networking services Quality of Experience enhancement for media streaming Network anomaly detection and remediation Wireless Mesh Networks security Professor Race leads NG-CDI, an EPSRC/BT funded Prosperity Partnership developing autonomic networks. He has been principal investigator for numerous significant projects including AI4ME (EPSRC/BBC funded), MANY, 5GRIT, INITIATE, MPAT, and several EU projects (FI-CONTENT2, STEER, GN3plus, Fed4FIRE, OFELIA, P2P-Next). His research output demonstrates a strong focus on applying SDN and NFV technologies to solve real-world networking challenges, particularly in security and media distribution. The TENNISON framework represents a significant contribution to scalable network security through distributed SDN approaches. He serves on the editorial board of Computer Communications and has held leadership roles in major conferences including as Programme Co-Chair of DE2013: Open Digital and PC Member for ACM Multimedia and Multimedia Systems (MMSys). Professor Race teaches SCC365: Advanced Networking and supervises 9 postgraduate research students working on various aspects of networked systems.

Etienne Zinkمشاهده پروفایل

پژوهشگر

• Software-Defined Networking (SDN)
• P4 Programming Language
• Network Security
• +۳ مورد دیگر

Etienne Zink is a PhD Student & Research Assistant at the University of Tübingen , affiliated with the Faculty of Science and the Department of Computer Science , specifically the Chair of Communication Networks. His research focuses on Software-Defined Networking (SDN) and P4 programming language applications in network monitoring and softwarization. B.Sc. in Computer Science (2019-2022) at DHBW Stuttgart Campus Horb M.Sc. in Computer Science (2022-2024) at the University of Tübingen Etienne contributes to network softwarization research through projects involving Snabb-Based Service Functions and Rust Barefoot Runtime (RBFRT) . His work addresses performance optimization, protocol enhancements, and runtime control in SDN architectures. Recent publications focus on histogram-based RTT monitoring and P4TG framework improvements. He supervises courses including Network Security I/II and Public Cloud Computing , while tutoring Network Softwarization and Informatik der Systeme . Etienne's programming expertise includes Rust and P4 for network device control.