جست‌وجوی استاد و پژوهشگر

• Communications Systems
• Signal Processing
• Optical Wireless Communications
• +۳ مورد دیگر

Francisco Javier Escribano Aparicio is an Associate Professor at the University of Alcalá, affiliated with the Department of Signal Theory and Communications. His research focuses on advanced communication systems, including chaos-based modulation, massive MIMO, optical wireless communications, and signal processing for IoT networks. He earned his Doctorate from Universidad Rey Juan Carlos with a thesis titled 'Communications Systems Based on Chaos' (2007), supervised by Dr. Miguel Ángel Fernández Sanjuán and Dr. Luis López Fernández. His work emphasizes practical applications of theoretical concepts in wireless communication systems, particularly in mitigating signal degradation issues like phase noise and intersymbol interference. He has contributed to protocols such as Slotted Aloha with Capture for Optical Wireless IoT systems and developed denoising techniques for space instrumentation data. Recent publications highlight trends in massive MIMO phase noise compensation, chaos-based reliable communications, and optical wireless system design. His research bridges chaos theory with real-world communication challenges, aiming to enhance system reliability and performance in fading channels and turbulent environments.

Zhiguo Dingمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• Non-Orthogonal Multiple Access (NOMA)
• +۷ مورد دیگر

Zhiguo Ding is a Professor in Communications at the University of Manchester, UK, and holds a Distinguished Adjunct Professor position at Khalifa University. He is also an Academic Visitor at Princeton University, collaborating with Prof. H. Vincent Poor. Prior roles include positions at Queen's University Belfast, Imperial College London, Newcastle University, and Lancaster University. Education : Ph.D. in Electrical Engineering, Imperial College London (2005) B.Eng. in Electrical Engineering, Beijing University of Posts and Telecommunications (2000) Research Interests span 6G Networks , NOMA , Physical Layer Security , Machine Learning for Communications , Beamforming , Cooperative Relaying , and Wireless Caching . His work explores hybrid NOMA architectures, hardware impairments in antenna systems, and cross-layer optimization for security and throughput. Recent Article Trends focus on Pinching Antenna Systems (2020-2024), Hybrid NOMA for OFDMA , THz-NOMA , and Grant-Free Transmission in IoT. Collaborations with Prof. Poor at Princeton emphasize analytical optimization, CRLB (Cramér-Rao Lower Bound) perspectives, and hardware-aware designs. Scientific Awards : IEEE Fellow (2020) Web of Science Highly Cited Researcher (2019-2024) IEEE Heinrich Hertz Award (2018) IEEE Jack Neubauer Memorial Award (2018) EU Marie Curie Fellowship (2012-2014) IEEE SPCC Technical Recognition (2021) IEEE GLOBCOM 2024 Best Paper Award Advising includes Ph.D. students like Yujie Ma (Flexible Antenna Systems), Wenqi Huang (NOMA-MEC), and Yushen Lin (NOMA Machine Learning), alongside 12+ past Ph.D. advisees. Grants include EPSRC, EU H2020-RISE, Royal Society, and FP7 Marie Curie funding for projects like Scalable Hybrid Architecture for Wireless Federated Learning (2023-2026) and MANGO (2017-2020). Labs & Teams : Leads research in NOMA, MIMO, and secure wireless systems at Manchester. Collaborates with IEEE and serves as Area Editor for IEEE TWC , TCOM , and OJ-SP , contributing to standards in 5G/6G and IMT frameworks.

Olivier LEVILLAINمشاهده پروفایل

مدرس

• Cybersecurity
• Network Security
• TLS Protocols
• +۵ مورد دیگر

Olivier LEVILLAIN is a Lecturer at Telecom SudParis, associated with the SAMOVAR laboratory. His research focuses on cybersecurity, network protocols, and cryptographic systems. He has contributed extensively to TLS protocol analysis, binary parser security, and encrypted communication mechanisms. Research interests include TLS ecosystem vulnerabilities, cloud-native security, stack protection in WebAssembly, state machine analysis for protocol validation, and privacy-preserving infrastructure for DNS monitoring. His work bridges theoretical analysis with practical tools like Parsifal for robust parser creation and Wombat for Bleichenbacher attack detection. Recent publications (2024-2025) address provenance tracking in cloud infrastructure, X-Ray-TLS memory decryption, and robust stack smashing protection. Earlier work (2015-2016) analyzed TLS record protocols, QUIC implementations, and SSL internet measurements. He led a 2016 thesis on the TLS ecosystem and co-authored tools like Caradoc for PDF analysis. Grants and collaborations include REWIRE cybersecurity skills initiatives. He actively participates in conferences like DSN, ARES, and SSTIC, contributing to both academic research and practical cybersecurity education frameworks. Labs/Teams: SAMOVAR laboratory at Telecom SudParis, collaborating with institutions like École Nationale Supérieure des Télécommunications (ENST). His work integrates formal verification methods with applied security engineering.

Triantafyllos Kanakisمشاهده پروفایل

مدرس ارشد

• Internet of Things (IoT)
• 5G Networks
• Software-Defined Networking (SDN)
• +۱۰ مورد دیگر

Dr. Triantafyllos Kanakis is a Senior Lecturer and Programme Leader for Computer Networks Engineering in the Department of Computing at the University of Northampton’s School of Science and Technology. He holds a PhD in Wireless and Mobile Communications from the University of Greenwich, an MSc from King's College London, an MBA from the University of Northampton, and a BEng from the University of Portsmouth. He is a Fellow of the Higher Education Academy, a Chartered Manager (CMgr), and a member of IEEE. His research interests span Internet of Things (IoT), 5G, Software-Defined Networking (SDN), MIMO systems, network security, and machine learning applications in telecommunications. He has published extensively in top journals such as IEEE Access and Electronics, with recent work focusing on intrusion detection in SDN, intelligent routing, and 5G network slicing using machine learning. His research integrates theoretical innovation with practical implementations in smart cities and sustainable networks. The trend in his publications from 2022 to 2024 highlights a strong focus on AI/ML-driven network optimization, security in software-defined environments, and next-generation wireless systems. His work bridges academic research with real-world industrial applications, particularly in IoT and smart infrastructure. Best Paper Award in Forward Error Correction, IEEE CEEC 2016 Member of the editorial board, Karbala International Journal of Modern Science Keynote speaker at international events on smart city technologies Active participant in academic committees and conferences Dr. Kanakis supervises multiple PhD students in areas including microload management, SDN virtualization, and big data analytics. He leads the UoN IoT Workshop and serves as the IEEE student branch manager. He has led initiatives to enhance teaching infrastructure, including securing HP SDN lab equipment through HEFCE funding. His teaching includes key modules in computer networks, wireless technologies, and network security. He leads the Technology Centre for Advanced and Smart Technologies and is actively involved in research innovation, podcasting on Industry 4.0 topics, and organizing academic events. His work emphasizes interdisciplinary collaboration, industry engagement, and advancing smart digital systems for future networks.

• Cyber Security
• AI
• Cryptography
• +۶ مورد دیگر

Dr. Richard Ward is a Lecturer in Cyber Security at the University of South Wales, affiliated with the Faculty of Computing, Engineering and Science and the Computing, Cybersecurity, Mathematics and Informatics Research and Innovation Group. He holds a PhD in Evolution of Loosely Synchronized Spreading Codes in CDMA systems (2008). His research spans Cyber Security, AI, cryptography, and pedagogy. He leads BSc courses in Applied Cyber Security and Computer Security, teaching areas like secure coding, cryptography, and ethical hacking. Recent research focuses on IoT security, AI-driven risk assessment, and hardware vulnerabilities in Apple silicon. Education: PhD in Cyber Security (2008), University of South Wales Research interests include side-channel attacks, IoMT security, and cross-disciplinary AI applications. His work addresses UN Sustainable Development Goals related to innovation and infrastructure. He actively contributes to conferences like the European Conference on Cyber Warfare and Security. He supervises eight PhD students exploring topics such as automated vehicle security, IoMT compliance frameworks, and side-channel attack vulnerabilities. Recent publications address healthcare cyber threats, IoMT privacy frameworks, and AI supply chain risks. He participates in pedagogy research, presenting at USW Learning & Teaching Conferences (2024, 2022, 2020) and CELT events (2018). Teaching focuses on challenged-based learning and introductory cyber security education, including outreach to primary school students. He chairs USW’s Cyber Security Education Ecosystem initiatives and advises on governance frameworks for emerging technologies.

Borislav Gueorguiev Tomovمشاهده پروفایل

استادیار

• Medical Ultrasound
• Biomedical Engineering
• Signal Processing
• +۶ مورد دیگر

Borislav Gueorguiev Tomov is an Assistant Professor at the Department of Health Technology, Danish Technical University (DTU), specializing in medical ultrasound imaging. He is affiliated with the Center for Fast Ultrasound Imaging. M.Sc. in Electrical Engineering (1996), Technical University of Bulgaria Ph.D. in Compact Beamforming (2003), DTU His research focuses on advanced ultrasound techniques, including synthetic aperture imaging, 3D beamforming, vector flow estimation, and super-resolution imaging. He has contributed to developing high-channel-count ultrasound systems and transducer optimization. Recent publications highlight innovations in beamformer design, coded excitation, and transducer geometry compensation. His work aligns with applications in medical diagnostics and biomechanics. He collaborates closely with the Center for Fast Ultrasound Imaging and has participated in projects like the Graduate School in Microelectronics (1997–2001) and the Integrated Circuits in Medical Ultrasound initiative (1999–2003).

Frank Piessensمشاهده پروفایل

استاد

• software security
• system security
• formal methods
• +۲ مورد دیگر

Frank Piessens is a full professor in the Department of Computer Science at KU Leuven, Belgium, with research spanning both offensive and defensive aspects of software and systems security. His defensive work includes formal verification for C-like languages, information flow security enforcement, memory safety hardening, micro-architectural side-channel mitigation, and embedded security architectures. On the attack front, he has pioneered techniques for transient execution vulnerabilities, memory corruption exploits, and controlled channel attacks. His research interests focus on software security , system security , formal methods , programming languages , and information flow security . Recent publications demonstrate expertise in secure compilation (linear capabilities, control-flow linearization), functional reactive programming for web/IoT systems, and type-theoretic approaches to program equivalence. His work bridges theoretical foundations with practical security implementations across hardware-software boundaries. Professor Piessens maintains active leadership in the academic community through program committee service for top-tier conferences including ACM CCS, Usenix Security, IEEE Security & Privacy, and ACM POPL. He has chaired major events such as POST 2016, IEEE Euro S&P 2018-2019, and IEEE SecDev 2021-2022, while delivering keynotes at SPLASH 2025 and PriSC 2022 on confidential computing and hardware security evidence.

Mahdi Jafari Siavoshaniمشاهده پروفایل

استادیار

• Machine Learning
• Optimization
• Data Science
• +۱۴ مورد دیگر

Mahdi Jafari Siavoshani is an Assistant Professor in the Department of Computer Science and Engineering at Sharif University of Technology, where he leads the Information, Network, and Learning (INL) Lab. He holds a PhD and MSc from the Swiss Federal Institute of Technology (EPFL), and a BSc in Electrical Engineering and Physics from Sharif University of Technology. Prior to his current role, he was a postdoctoral fellow at the Institute of Network Coding, The Chinese University of Hong Kong. His research spans fundamental problems in information processing, transmission, and analysis, with a focus on theoretical limits and practical algorithm design. Key areas include Machine Learning, Optimization, Data Science, Information and Communication Theory, and Computer Networks. His work integrates probabilistic modeling, network coding, and deep learning to address challenges in secure communication, traffic classification, and distributed systems. The recent publications highlight a strong trend in network coding, information theory, and machine learning applications. His work explores coding-theoretic solutions for secrecy, load balancing in cache networks, belief propagation algorithms, and encrypted traffic classification using deep learning. These contributions reflect a blend of theoretical depth and practical relevance in modern communication systems. Assistant Professor, Department of Computer Science and Engineering, Sharif University of Technology PhD and MSc, Swiss Federal Institute of Technology (EPFL) BSc in Electrical Engineering and Physics, Sharif University of Technology Postdoctoral Fellow, Institute of Network Coding, The Chinese University of Hong Kong He advises research in the INL Lab and teaches courses such as Computer Networks, Engineering Probability and Statistics, Network Coding, and Stochastic Processes. While no formal students are listed, his lab environment fosters collaborative research. There is no mention of external grants or funding in the provided texts. The INL Lab serves as the primary research unit, focusing on information theory, network algorithms, and machine learning applications. The lab integrates theoretical research with practical implementations, particularly in networked systems and data analysis.

Keith Purpuraمشاهده پروفایل

دانشیار

• Visual Neuroscience
• Systems Neuroscience
• Computational Neuroscience
• +۵ مورد دیگر

Keith Purpura is an Associate Professor of Neuroscience at Weill Cornell Medicine's Brain and Mind Research Institute. He has maintained a continuous academic appointment since 1993, progressing from Assistant Professor to Associate Professor in 2000. His research spans two primary areas of neuroscience: the role of eye movements in visual cortical processing and the therapeutic application of thalamic deep brain stimulation for cognitive disorders. Dr. Purpura received his Ph.D. from The Rockefeller University in 1988 under Drs. Robert Shapley and Ehud Kaplan, followed by post-doctoral work with Dr. Jonathan Victor at Cornell University Medical College and a visiting scientist position at the NIH's National Eye Institute (1991-1993). His undergraduate studies spanned Mannes College of Music, New York University, and Columbia College. His laboratory investigates how eye movements influence neural activity patterns across the visual cortical hierarchy, hypothesizing that these movements generate and access communication channels across cortical areas. Concurrently, in collaboration with Dr. Jonathan Baker, he develops deep brain stimulation techniques targeting the central thalamus to treat disorders of consciousness following traumatic brain injury, which affects over 2 million Americans annually. Analysis of his publication record reveals consistent focus on neural network dynamics, visual processing mechanisms, and translational applications of brain stimulation. His work bridges computational neuroscience with clinical applications, particularly in understanding how cortical networks process visual information and how brain stimulation can restore cognitive function. Searle Award (Post-doctoral support) Charles H. Revson Foundation (Post-doctoral support) McDonnel-Pew Research Program in Cognitive Neuroscience Award Visiting Scientist, National Eye Institute, NIH: 1991-1993 NIH NINDS-K04 Career Development Award 17 summers of research at Marine Biological Laboratory, Woods Hole Dr. Purpura currently serves as Principal Investigator on an NIH National Eye Institute grant (2022-2026) studying eye movements in visual processing networks and as Co-Principal Investigator on an NINDS grant (2020-2025) for central thalamic deep brain stimulation. His laboratory includes collaborators Jonathan L. Baker and Jae-Wook Ryou, and he established both the alert primate physiology laboratory and visual neurophysiology laboratory at Weill Cornell.

• Applied Optimization
• Wireless Internet of Things
• Machine Learning
• +۶ مورد دیگر

Carlo Fischione is a Full Professor at KTH Royal Institute of Technology in the School of Electrical Engineering and Computer Science, Division of Network and Systems Engineering, Stockholm, Sweden. He is a Fellow of IEEE, KTH Digital Futures, and the Italian Academy DASP, and a Distinguished Lecturer of the IEEE Communications Society. He holds a PhD and Laurea (Summa cum Laude) in Engineering from the University of L’Aquila, Italy, and has held research positions at MIT, Harvard, and UC Berkeley. PhD in Electrical and Information Engineering, University of L’Aquila (2005) Laurea in Electronic Engineering, Summa cum Laude, University of L’Aquila (2001) His research focuses on applied optimization, wireless Internet of Things, and machine learning , with particular emphasis on federated learning, over-the-air computation, and spectrum sharing in 5G/6G networks. He leads a vibrant research group and has supervised numerous PhD and postdoctoral researchers, many of whom now hold faculty or senior research positions globally. His recent publications reflect a strong trend toward machine learning in distributed and resource-constrained networked environments , especially focusing on communication efficiency, privacy, and scalability. Key themes include federated learning over fading channels, over-the-air computation, and AI-aided wireless channel prediction. IEEE Fellow IEEE Distinguished Lecturer, Communications Society IEEE Communication Society S. O. Rice Award (2018) Best Paper Award, IEEE Transactions on Industrial Informatics (2007) Starting Grant, Swedish Research Council (2008) Prof. Fischione has advised numerous students who have gone on to prominent academic and industry roles. He has secured significant research funding from the Swedish Research Council, SSF, KAW Foundation, Vinnova, and EU Horizon programs, leading projects such as MALEN, SAICOM, TAIRCOMP, and WIDCOMP. He is also the founding General Chair of IEEE ICMLCN and a co-founder of ELK.Audio, demonstrating strong industry and innovation engagement. He leads multiple research initiatives and labs focused on networked machine learning, including groups working on federated learning, wireless AI, and edge intelligence. His team actively contributes to advancing the theoretical and practical foundations of machine learning over networks.

Phillip Hellwegeمشاهده پروفایل

استاد

• History of Commercial Law
• Insurance Law
• German Civil Law
• +۲ مورد دیگر

Prof. Dr. Phillip Hellwege, M.Jur. (Oxford), is the Chair of Civil Law, Commercial Law, and Legal History at the Faculty of Law, University of Augsburg. His research focuses on the historical and comparative analysis of insurance law, German civil law, European private law, and historical comparative law. He has led significant projects, including a 2015–2021 ERC Consolidator Grant-funded study on the comparative history of insurance law in Europe. Chair of Civil Law, Commercial Law and Legal History Principal Investigator, ERC Consolidator Grant (2015–2021) Teaching in Winter Semester 2025/26: Seminar on the History of Commercial Law Research Interests: Hellwege specializes in the history of commercial law (particularly insurance law), German civil law, European private law, and historical comparative law. His work bridges dogmatic legal analysis with historical context, emphasizing German and English law while exploring mixed systems like Scottish and Channel Islands law. Publications & Lectures: Recent works include a 2025 monograph on negligent ignorance in private law and 2024–2025 book chapters on precedent in German private law and negative freedom of contract in medical contexts. He actively presents at international colloquia, such as the 2025 lecture on early modern health care at Frauenwörth Abbey. Scientific Awards: Recognized with an ERC Consolidator Grant for his insurance law research and supervising dissertations that have won prizes like the Arnecke Sibeth Dabelstein Dissertation Prize. Academic Leadership: He supervises doctoral candidates in German civil law, historical comparative law, and European private law, with completed theses covering topics such as banking regulation, life insurance law, and comparative marine insurance. His team includes academic counselors and student assistants supporting research and teaching activities.

Victoria Kostinaمشاهده پروفایل

استاد

• Information Theory
• Coding Theory
• Wireless Communications
• +۴ مورد دیگر

Victoria Kostina is a Professor of Electrical Engineering and Computing and Mathematical Sciences at the California Institute of Technology (Caltech). Her research bridges information theory , coding theory , and wireless communications , with a focus on the nonasymptotic regime to understand fundamental limits of delay-constrained systems. Bachelor's, Moscow Institute of Physics and Technology Master's, University of Ottawa PhD, Princeton University Her work explores the intersection of random processes , concentration of measure , and control theory to develop theoretical frameworks for modern communication systems. She has pioneered techniques for finite blocklength information theory and feedback communication , analyzing stability and performance in stochastic environments. Victoria's publications span channel coding , source-channel coding , and control with communication constraints , with a focus on practical applications in real-time systems . Her research has advanced the understanding of data compression , error exponents , and quantization in nonasymptotic scenarios. Notable scientific recognitions include: Princeton Electrical Engineering Best Dissertation Award (2013) NSF CAREER Award (2017) J. K. Wolf ISIT Student Paper Award Finalist (2021) She actively supervises students in the Computing and Mathematical Sciences (CMS), Control and Dynamical Systems (CDS), and Electrical Engineering (EE) PhD programs and leads the development of the SPECTRE Toolbox for finite blocklength information theory.

• Quantum Communications
• Next-generation Wireless Transmissions
• Channel Coding and Modulation
• +۸ مورد دیگر

Prof Soon Xin Ng (Michael) is a Professor of Next Generation Communications at the University of Southampton , affiliated with the School of Electronics and Computer Science. His work bridges quantum communications, wireless technologies, and machine learning, with a focus on the theoretical and practical challenges of next-generation networks. Education: B.Eng. (First Class) in Electronic Engineering and Ph.D. in Telecommunications, both from the University of Southampton Current Roles: ECS Doctoral Programme Director since 2021, IEEE Quantum Communications & Information Technology Emerging Technical Subcommittee Officer Research Interests span quantum communications, channel coding/modulation, cooperative systems, and AI-driven wireless solutions. Recent projects include quantum key distribution over THz channels, UAV path planning with reinforcement learning, and MIMO-OFDM optimization. 2025: 3D spatial compression for UAV navigation 2025: OTFS modulation in quantum THz channels 2024: CV-QKD reconciliation and quantum internet evolution Scientific Awards include the 2013 Dean’s Award for publication excellence, IEEE Senior Membership, and Fellowships from the IET and Higher Education Academy. As an author of 260+ papers and co-editor of Quantum Engineering , he mentors eight active PhD students in electronic and engineering disciplines.

Pawel Mordakaمشاهده پروفایل

پژوهشگر

• Plant Metabolism
• Synthetic Biology
• Chloroplast Engineering
• +۳ مورد دیگر

Dr. Pawel Mordaka is a Postdoctoral Research Associate in the Department of Plant Sciences at the University of Cambridge. His research focuses on synthetic biology, genetic engineering, and plant metabolism, with a particular emphasis on chloroplast engineering and metabolic pathway optimization in model organisms like Chlamydomonas reinhardtii and Clostridium . Department: Plant Sciences Academic Rank: Researcher Email: pmm63@cam.ac.uk His work spans synthetic biology tool development (e.g., CpPosNeg selection systems, Start-Stop DNA assembly), transgene regulation in chloroplasts, and bioengineering of microbial-plant interactions. Recent publications highlight advancements in genetic code compression, promoter engineering, and heterologous pathway reconstruction for biofuel and biocatalysis applications. Dr. Mordaka's research intersects molecular plant biology and industrial biotechnology, leveraging algal chloroplasts as testbeds for radical metabolic rewiring. His methodologies include VIGS protocols, PVX expression vectors, and terminator analysis to refine transgene expression. Contact: pmm63@cam.ac.uk

• Gravitational Physics
• Numerical Relativity
• Quantum Gravity
• +۴ مورد دیگر

Roberto De Pietri is an Associate Professor at the Department of Physics and Earth Sciences within the Faculty of Mathematical, Physical and Natural Sciences at the University of Parma, Italy. He has held this position since March 1, 2015, following 10 years as a Researcher (Assistant Professor) at the same institution. His research focuses on gravitational physics, numerical relativity, and quantum gravity, with particular emphasis on compact objects, gravitational wave phenomena, and computational astrophysics. De Pietri has made significant contributions to numerical simulations of relativistic systems, including neutron star oscillations, binary mergers, and gravitational wave emission. His work bridges theoretical frameworks with high-performance computing applications. Analysis of his recent publications reveals a strong focus on gravitational wave astronomy, particularly in catalog development (GWTC series), multi-messenger follow-up strategies, and computational infrastructure for real-time alert generation. His research spans from fundamental quantum gravity investigations to practical applications in gravitational wave detection pipelines. De Pietri has supervised five PhD students to completion and numerous master's theses, with research topics centered on numerical relativity, gravitational waveforms, and quantum gravity. He has secured substantial computational resources through PRACE projects, including 30 million core hours for neutron star merger simulations. His teaching portfolio includes graduate courses in gravitational physics and undergraduate instruction in general physics and computational methods. He has presented his research at major international conferences including the Marcel Grossmann Meetings and specialized workshops on numerical relativity.