جست‌وجوی استاد و پژوهشگر

Christopher J P Newtonمشاهده پروفایل

پژوهشگر ارشد

• Cryptography
• Cybersecurity
• Trusted Computing
• +۲ مورد دیگر

Dr. Christopher J P Newton is a Research Fellow at the University of Surrey's Surrey Centre for Cyber Security. His research spans cryptography, trusted computing, and post-quantum security, with a focus on developing robust protocols for hardware security modules and networked systems. He has contributed extensively to cryptographic standards and practical implementations. Newton's work addresses core challenges in cybersecurity, including anonymous attestation (e.g., TPM 2.0), relay attack prevention in payment systems, and 5G key-establishment protocols. His publications emphasize formal verification methods and efficient algorithms, ensuring security against both classical and quantum threats. Recent articles (2013–2024) reveal a shift from liquid crystal physics to applied cryptography, with recurring themes in quantum-resistant signatures, decentralized trust models, and optimized hardware security. This evolution aligns with emerging needs in secure communications and next-generation networks. He collaborates internationally on projects involving trusted attestation and network security, leveraging tools like Tamarin Prover for protocol verification. Newton holds a multidisciplinary perspective, bridging theoretical rigor with implementable solutions in cybersecurity.

Charlotta Plejertمشاهده پروفایل

عضو هیئت علمی

• Speech and Language Impairments
• Dementia and Ageing
• Multilingual Interaction
• +۵ مورد دیگر

Charlotta Plejert is a Senior Associate Professor at Linköping University , affiliated with the Department of Biomedical and Clinical Sciences (BKV) and the Division of Sensory Organs and Communication (SOK) . Her research focuses on speech and language impairments, dementia, multilingual interaction, and disability studies, with a methodological emphasis on Multimodal Conversation Analysis and ethnography. Her work examines recurrent interactional practices for persons with communicative impairments and their relatives, emphasizing remaining capacities over deficits. She co-edits the Journal of Interactional Research in Communication Disorders and explores multilingualism in dementia care, a critical yet understudied area. Recent publications analyze clinical practices for developmental language disorders (2025), social interaction strategies for deafblindness (2024), and interpreter-mediated dementia assessments (2023). She contributes to networks like the Dementia Communications Research Network and Nordic Network of Interaction Studies on Communication Impairment . Contact: charlotta.plejert@liu.se

• Wireless Communications
• Massive Random Access Systems
• Machine Learning in Communications
• +۶ مورد دیگر

Mohammad Kazemi is a Marie Curie Research Fellow at the Department of Electrical and Electronic Engineering, Faculty of Engineering, Imperial College London. His research focuses on wireless communications, machine learning applications in communication systems, and massive random access systems. He holds a PhD from Amirkabir University of Technology (2017), and has held research positions at Bilkent University (2019-2023) and Amirkabir University's MMWCL lab (2017-2019). He served as Editorial Assistant for IEEE Transactions on Communications (2020-2023). Education: B.S. and M.S. in Electrical Engineering, K.N. Toosi University of Technology (2007, 2010) PhD in Electrical Engineering, Amirkabir University of Technology (2017) His research interests emphasize practical solutions for massive machine-to-machine (M2M) communications through EU-funded DeepMARA project. Key areas include fundamental limits of deletion/insertion channels, federated edge learning architectures, and secure mmWave communications. He explores applications in smart healthcare and transportation sectors using AI-driven communication frameworks. Projects & Grants: DeepMARA: EU/UKRI-funded project developing reinforcement learning-based strategies for massive random access systems Over-the-air federated learning with hierarchical clustering Labs & Teams: Member of the Information Processing and Communications Lab (IPC-Lab) at Imperial College London.

Cenk Gursoyمشاهده پروفایل

استاد

• Wireless Communications
• Information Theory
• Signal Processing
• +۳ مورد دیگر

Dr. Cenk Gursoy is a Professor in the Department of Electrical Engineering and Computer Science at Syracuse University. He holds a Ph.D. from Princeton University (2004) and a B.S. from Bogazici University (1999), and directs the Wireless Communication and Networking Lab while serving as a Senior Research Associate at the Autonomous Systems Policy Institute. His research focuses on wireless communications and networking, including signal processing, information theory, machine learning applications, optimization techniques, and unmanned systems. Key areas include energy-efficient communications, cognitive radio networks, millimeter-wave systems, and UAV-enabled networks. Dr. Gursoy's publications demonstrate strong focus on AI-driven wireless systems, with recent work emphasizing adversarial robustness in 5G/6G networks, federated learning applications, and resilient UAV path planning. His research consistently integrates theoretical foundations with practical implementations in next-generation networks. Awards include: IEEE Region 1 Technological Innovation Award (2020) IEEE Green Communications Best Journal Paper (2017) PIMRC Best Paper Award (2017) EURASIP Best Paper Award (2008) NSF CAREER Award (2006) He currently advises 7 PhD students and has graduated 15 doctoral students who now hold positions in academia and industry. His research has been funded by multiple NSF grants focusing on fundamental limits of wireless communications and UAV network resilience, totaling over $1.5M in recent projects. As director of the Wireless Communication and Networking Lab, Dr. Gursoy leads a team investigating cutting-edge problems in 5G/6G networks, IoT security, and autonomous systems, with strong collaborations across industry and government agencies.

• Electrical Power Supply
• Network Calculation
• Protection Technology
• +۳ مورد دیگر

Prof. Holger Borowiak is a Professor at the Department of Electrical Power Supply at Berlin University of Applied Sciences. His expertise includes protection technology, network modeling, and high-voltage systems. He collaborates with industry partners on research projects involving renewable energy integration and grid stability. Teaching activities include practical training using advanced test benches for relay systems and network simulations. Industrial cooperation is emphasized through joint research and student theses. Guest lectures by industry experts like Siemens' Thierry Dufaure highlight current trends in smart grids and communication protocols.

• Wireless Networks
• Mobile Networks (5G)
• Quality of Service
• +۳ مورد دیگر

Mauricio Iturralde is a Researcher-Lecturer at CESI, specializing in Networking and Computer Science. He holds a PhD in Networking and Computer Science from the Institut National Polytechnique de Toulouse and ENSEEIHT (2012), and a Master's in Systems and Networking Security from Télécom SudParis and Paris EST (2009). His research focuses on wireless networks, 5G mobile networks, Quality of Service (QoS), Digital Twins, Industry 5.0, and Cyber Security. He teaches courses on Networking, Cyber Security, System Administration, and Research Methodology to undergraduate and master's students. His work includes optimizing LTE and 5G networks through resource allocation strategies, interference mitigation, and reinforcement learning for energy-efficient protocols. He has contributed to maritime communication systems, railway transportation networks, and social engineering defenses in cybersecurity. His publications span flagship conferences like IEEE PIMRC, WCNC, and journals such as Springer Telecommunication Systems. Notable contributions include Mobile Relays for Urban Rail Systems (2020), Location-Aware Sleep Strategies for 5G (2019), and encryption mechanisms for mobile devices (2015). His research bridges theoretical frameworks (e.g., cooperative game theory) with practical applications in heterogeneous networks and IoT. He is part of the Engineering and Numerical Tools research team at CESI La Rochelle Campus, addressing challenges in digital transformation and Industry 5.0 security. His work emphasizes interdisciplinary approaches, integrating machine learning and network science to solve real-world communication problems.

• Quantum Information Theory
• Quantum Mechanics
• Quantum Non-Locality
• +۳ مورد دیگر

Dr. Daniel Collins is the Ask-JGI Coordinator at the Jean Golding Institute, University of Bristol. His work focuses on quantum information theory and foundational quantum mechanics, particularly exploring nonlocality, Bell inequalities, and quantum teleportation. He has contributed to experimental implementations of quantum relays and theoretical frameworks for post-selected quantum states. Education details are not explicitly provided in the text, but his research spans theoretical and experimental quantum physics. His research interests include quantum cryptography, quantum communication protocols, and the philosophical implications of quantum nonlocality. Collins' recent work (2024) emphasizes angular momentum dynamics and non-signalling frameworks, while earlier contributions (2001-2005) addressed quantum relays and Bell inequality violations. His publications consistently intersect quantum foundations with practical applications like secure communication and entanglement distribution. He holds no explicitly listed scientific awards but has maintained an active research profile since 2001. His role as a coordinator suggests involvement in interdisciplinary projects or institutional research initiatives.

Peter Pachowiczمشاهده پروفایل

دانشیار

• CubeSats
• Satellite Communications (SatCom)
• Space Communications (SpaceCom)
• +۶ مورد دیگر

Dr. Peter Pachowicz is an Associate Professor in the Department of Electrical and Computer Engineering at George Mason University (GMU). He leads research initiatives in CubeSats, satellite communications (SatCom), and space systems engineering within the College of Engineering and Computing (CEC). His work focuses on ultra-small satellite bus architectures, resilient systems, and rad-hard embedded software. He oversees the development of CEC's SatCom ground stations, including a 9.1-meter satellite dish and the ECE CubeSat Engineering Lab, supporting lunar missions and student projects. Dr. Pachowicz also manages a SmallSat Engineering certificate program and Space-Based Systems specialization for graduate students. Dr. Pachowicz holds a PhD, MS, and BS in Electrical and Computer Engineering from the AGH University of Science and Technology. His research has been funded by DARPA, the Air Force Office of Scientific Research (AFOSR), and industry partners. His early work explored intelligent systems, machine vision, and data fusion, with applications in defense and aerospace. Over a decade of industrial consulting experience includes roles at SAIC and U.S. Army NVL, focusing on transitioning theoretical frameworks to practical engineering solutions. His current projects include the NASA/GMU Landolt mission payload development (launching in 2028) and advancing antenna design for CubeSats. His research spans signal processing, embedded systems, and AI integration into aerospace systems. His team collaborates on student competitions and lunar relay systems, emphasizing hands-on learning and mission readiness. Publications highlight contributions to satellite subsystems, machine learning applications in defense, and adaptive algorithms for dynamic environments. His work bridges academia and industry, emphasizing real-world implementation of innovative engineering solutions.

• Massive MIMO
• Aeronautical Communications
• Optimization Algorithms
• +۴ مورد دیگر

Jiankang Zhang is a Senior Lecturer in Computer Science at Bournemouth University, UK. He previously held positions at the University of Southampton (Senior Research Fellow) and Zhengzhou University (Lecturer/Associate Professor). His research focuses on massive MIMO , aeronautical communications , optimization algorithms , and edge computing , with applications to UAV networks, visible light communication (VLC), and physical layer security. Education: PhD in Communication and Information Systems (Zhengzhou University, 2012), BSc in Mathematics and Applied Mathematics (Beijing University of Posts and Telecommunications, 2006) His recent work explores reconfigurable intelligent surfaces (RIS) for secure transmissions, UAV-assisted networks , and multi-agent reinforcement learning for resource allocation in NOMA-V2X systems. He contributes to IEEE journals as an Associate Editor and Guest Editor. Scientific Awards: IEEE Senior Member (2018), Outstanding Associate Editor (IEEE Access, 2020), Workshop Chair (IRSCN), Guest Editor roles His article trends emphasize 5G/6G , secure wireless communication , machine learning-aided network optimization , and UAV mobility , with a focus on balancing security vs. efficiency in next-generation networks.

Christian Bettstetterمشاهده پروفایل

استاد

• Wireless Communications
• Robotics
• Autonomous Systems
• +۶ مورد دیگر

Christian Bettstetter is a Professor at the Institute for Networked and Embedded Systems at the University of Klagenfurt, Austria, and the Scientific Director of Lakeside Labs. He leads research in wireless communications, autonomous systems, and self-organizing networks. As Coordinator for International Relations of the Faculty of Engineering and Head of his institute, he oversees interdisciplinary projects involving drone networks, synchronization algorithms, and industrial IoT applications. His research interests span robotics , swarm intelligence , and drone communication protocols , with notable contributions to synchronization in oscillator networks and multi-robot exploration. He teaches courses on mobile communications and electricity & magnetism , and his work has been recognized with the 2022 Lehrepreis for excellence in teaching. Key projects include: Developing self-organized drone swarms using the swarmalator model Investigating interference management in 5G-connected drones Creating ROS-based frameworks for coordinated multi-robot systems He advises over 10 PhD candidates and has pioneered UWB sensor networks for industrial applications. Current work focuses on bridging simulation-to-reality gaps in drone swarm development and optimizing cellular connectivity for aerial vehicles.

• Electric Power Systems
• Renewable Energy Integration
• Distributed Generation
• +۵ مورد دیگر

Carlos David Zuluaga Ríos is a Postdoctoral Researcher at the Institute for Research in Technology (IIT) of the Comillas Pontifical University, affiliated with the Higher Technical School of Engineering (ICAI). He holds a B.Sc. and M.Sc. in Electrical Engineering from the Universidad Tecnológica de Pereira (2010, 2013), and a Ph.D. in Engineering (2018) from the same institution. His research focuses on electric power systems, renewable energy integration, distributed generation, and electric vehicle technologies. Key research areas include probabilistic modeling of energy systems, optimization algorithms for grid integration, and control systems for sustainable technologies. He has contributed to projects like improving tools for hybrid AC/DC power systems analysis under renewable energy penetration. Recent work includes studies on temperature effects on air quality solutions and neuro-probabilistic frameworks for EV energy demand forecasting. He has authored over 20 journal articles, conference papers, and a book chapter. His work has been published in journals like Applied Energy , IEEE Transactions on Power Systems , and Sustainability . He has presented at international conferences such as ICIAP and IREP. His current project (TED2021-130610B-C22) focuses on advancing hybrid power system tools with EU funding.

Milan Čabarkapaمشاهده پروفایل

دانشیار

• Telecommunications
• Signal Processing
• RF Engineering
• +۲ مورد دیگر

Milan Čabarkapa is an Associate Professor at the University of Kragujevac's Faculty of Engineering, Department of Electrical Engineering and Computer Science. His research spans telecommunications, signal processing, and RF engineering, with focus on distortion compensation in wireless systems and computational solutions for electromagnetic problems. Čabarkapa develops methods for nonlinear distortion compensation in MIMO transmitters, electromagnetic field modeling, and machine learning applications for signal processing. Recent work explores AI evaluation in linguistics, IoT education tools, and foreign investment analysis frameworks. He contributes to educational initiatives by developing accessible Arduino simulation tools for IoT pedagogy, making hardware experimentation available through online platforms.

Johnnatan Messiasمشاهده پروفایل

پژوهشگر

• Blockchain governance
• Decentralized finance
• Network transparency
• +۱ مورد دیگر

Johnnatan Messias is a Research Scientist at the Max Planck Institute for Software Systems (MPI-SWS), specializing in blockchain governance, decentralized finance, and network transparency. He holds a Ph.D. in Computer Science from MPI-SWS in collaboration with Universität des Saarlandes, advised by Prof. Krishna P. Gummadi. His work focuses on improving fairness and accountability in decentralized systems through empirical analysis of blockchain transactions and governance mechanisms. Primary research areas include DeFi protocol vulnerabilities, blockchain scalability solutions (especially rollups), and transparency in transaction ordering. He develops measurement tools like Glasnost for detecting network differentiation and SatelliteLab for heterogeneous network testing. Recent work examines governance centralization in DeFi, arbitrage dynamics in layer-2 systems, and economic sustainability of token distribution mechanisms. Publications demonstrate consistent methodological innovation in analyzing blockchain data, combining network measurements, statistical modeling, and game-theoretic frameworks. Key contributions include revealing voting power concentration in DAOs, quantifying rollup performance during inscription surges, and detecting opaque transaction prioritization in Bitcoin and Ethereum. His empirical studies have exposed systemic issues like miner collusion in fee markets and arbitrage inefficiencies in AMMs. Dr. Messias has contributed to academic service as program committee member for FC, AFT, WWW, and other major conferences. He developed open-source tools including WhatsApp Monitor for tracking misinformation and public datasets for ZK-Rollup research. Current projects investigate the impact of inscriptions on EVM networks and design frameworks for decentralized insurance on blockchain infrastructures.

Zhengdao Wangمشاهده پروفایل

استاد

• Machine Learning
• Cybersecurity
• Communications
• +۲ مورد دیگر

Zhengdao Wang is a Professor in the Department of Cyber Security Engineering at George Mason University (GMU). Previously, he held a professorship at Iowa State University (2002–2023) and served as a Program Director at the National Science Foundation’s Division of Electrical, Communications, and Cyber Systems (2020–2022). He earned a PhD in Electrical Engineering from the University of Minnesota (2002), an MS from the University of Virginia (1999), and a BEng from the University of Science and Technology of China (1996). His research focuses on machine learning, cybersecurity, communications, signal processing, and information theory. Notable contributions include advancements in reinforcement learning architectures, energy-harvesting systems, and secure communication protocols. His work has been recognized with awards such as the IEEE Signal Processing Society Best Magazine Paper Award (2003), IEEE Marconi Paper Prize (2004), and election as an IEEE Fellow (2016). Key research themes include optimizing wireless networks, designing robust learning algorithms, and exploring theoretical limits of communication systems. Recent publications (2018–2021) highlight innovations in reinforcement learning frameworks, secure key generation, and nonconvex optimization techniques. Professional contributions include editorial roles in top IEEE journals and leadership in international conferences. His interdisciplinary expertise bridges theoretical foundations and practical applications in cyber-physical systems.

Leonid Rubchinskyمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Mathematical Biology
• Mathematical & Computational Neuroscience
• +۳ مورد دیگر

Leonid Rubchinsky is an Associate Professor in the Department of Mathematical Sciences at Indiana University–Purdue University Indianapolis (IUPUI), affiliated with the Stark Neurosciences Research Institute, Indiana University School of Medicine. His research focuses on computational neuroscience, mathematical biology, and dynamical systems applied to understanding basal ganglia function in health and Parkinson's disease. He holds academic appointments since 2004, including postdoctoral research at UC Davis (2001–2004). Education: Ph.D. in Physics (2000, Russian Academy of Sciences), M.S. in Physics (1997, UC San Diego), B.S. in Physics (1995, University of Nizhny Novgorod). Research interests include neural oscillations, synchronization mechanisms, and pathophysiological dynamics in Parkinson's disease. His work bridges mathematical modeling and experimental neuroscience to elucidate basal ganglia operations and therapeutic strategies. Publications (2008–2013) emphasize beta-band synchronization, deep brain stimulation effects, and theoretical frameworks for tremor and neural network dysfunction. Awards include IUPUI Favorite Professor recognition (2006, 2010) and international grants. Professional roles include panelist for NSF/NIH computational neuroscience grants and membership in the Organization for Computational Neuroscience Program Committee. He has organized student competitions at annual neuroscience meetings.