جست‌وجوی استاد و پژوهشگر

Kashinath Basuمشاهده پروفایل

مدرس ارشد

• Network Virtualization
• Cloud Computing
• AI/ML in Networking
• +۷ مورد دیگر

Dr. Kashinath Basu is a Senior Lecturer in Computer Science at Oxford Brookes University, affiliated with the School of Engineering, Computing and Mathematics. He holds a PhD in Computer Science and specializes in network virtualization, cloud computing, AI/ML for infrastructure management, and smart grid communication. His research explores SDN/NFV, cybersecurity frameworks, and quantum-resistant cryptography. Education: PhD in Computer Science, with academic and professional experience spanning over two decades. Research focuses on next-gen networks, cloud orchestration, and AI-driven security solutions. Current projects include softwarization of networks, smart grid communication protocols, and QoS-aware cloud services. Research interests span from foundational network architecture design to applied cybersecurity in smart cities. He has authored influential papers on topics like SD-WAN traffic prediction using ML, QoS-aware service selection in cloud environments, and control frameworks for smart grids. His work bridges theoretical network research with real-world infrastructure challenges. Professional contributions include editorial roles for journals like IEEE Transactions on Smart Grid and active participation in IEEE Working Groups on SDN/Quantum Communication. He has organized major conferences such as IEEE MobileCloud and ITNAC, reflecting his leadership in advancing network technologies. Labs/Teams: Member of the Cloud Computing and Cybersecurity Research Group, Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute, and the Dependable Systems Engineering Research Centre. Collaborates with industry partners on projects related to autonomous cyber defense and blockchain for smart city infrastructure.

Kathrin Hövelmannsمشاهده پروفایل

استادیار

• Post-Quantum Cryptography
• Provable Security
• Public-Key Encryption
• +۳ مورد دیگر

Kathrin Hövelmanns is a tenured Assistant Professor at Eindhoven University of Technology (TU/e) in the Mathematics and Computer Science school, specializing in Applied and Provable Security. Her research addresses the threat of quantum computing to current cryptographic systems, focusing on post-quantum security mechanisms. She has contributed to the theoretical foundation of Kyber, a NIST-emerging standard for public-key encryption. PhD in Cryptology from Ruhr University Bochum BSc/MSc in Mathematics from University Duisburg Essen Mathematical-technical system engineer training at RWTH Aachen Her research integrates provable security and quantum information theory , with key contributions to cryptographic protocols like Authenticated Key Exchange , Re-encryption , and PAKE . Publications span post-quantum cryptography , security proofs , and quantum-resistant algorithms , reflecting collaborations with experts like Eike Kiltz and Andreas Hülsing. Recent work includes analyses of Quantum Key Distribution and public-key cryptosystems under quantum threats. Her research outputs emphasize password-based authentication , decryption security , and instantiation techniques . Scientific Awards : NWO Veni Grant (2023) Irène Curie Fellowship She serves on academic committees and contributes to cryptography education, teaching Linear Algebra 2 at TU/e. Her work bridges theoretical cryptography with real-world applications, addressing challenges in e-government, secure communications, and military/industrial data protection.

Ulya R. Karpuzcuمشاهده پروفایل

دانشیار

• Physics of Computing
• Energy-Efficient Computing
• Application-Domain Specialized Architectures
• +۶ مورد دیگر

Ulya R. Karpuzcu is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Minnesota, Twin Cities. Her research spans physics of computing, energy-efficient computing, application-domain specialized architectures, hardware security and reliability, and approximate computing. Her research interests focus on understanding how physical principles shape computing paradigms to address emerging energy problems. Key areas include: Physics of computing and physical limits of computation Energy-efficient computing through novel architectures Hardware security and reliability Approximate computing techniques Spintronics and non-volatile memory computing Quantum computing architectures Dr. Karpuzcu's recent publications show a strong focus on in-memory computing, Ising machines for combinatorial optimization, spintronics-based architectures, and quantum computing. Her work bridges theoretical foundations with practical hardware implementations, particularly exploring energy-efficient solutions through novel computing paradigms that address physical constraints. Her notable awards include: NSF CAREER Award (2016) on 'Trading Communication and Storage for Computation to Enhance Energy Efficiency' NSF SPX grant (2017) on scalable in-memory processing using spintronics NSF CCF grant (2014) on soft (approximate) near-threshold voltage computing NSF XPS grant (2014) on approximate communication to enhance energy efficiency Dr. Karpuzcu actively mentors PhD students and undergraduate researchers, with her lab 'wide open to motivated Ph.D. students and undergraduate researchers.' She has served on technical program committees for major conferences including ISCA, HPCA, MICRO, and ICCAD, and has co-organized workshops on Near-threshold Voltage Computing. She teaches courses on computer architecture, physics of computation, and quantum computing, including developing innovative courses like 'Physics of Computation' inspired by Richard Feynman's lectures.

• Cryptography
• Computer Science
• High-Performance Computing (HPC)
• +۳ مورد دیگر

Dr. Michał Klisowski is a Lecturer at the Fundacja Uniwersytetu Marii Curie-Skłodowskiej , affiliated with the Faculty of Mathematics, Physics and Computer Science and the Department of Information Systems Software . His research focuses on cryptography, high-performance computing, and media truth detection. Research Highlights: Cryptographic protocols, energy-efficient computation, media credibility analysis Email: michal.klisowski@mail.umcs.pl His recent publications address topics such as multicore key exchange protocols , RAPL power monitoring , and fake news detection using machine learning. He holds an ORCID identifier and has published in information and communication technology domains. Collaboration & Tools: Utilizes ORCID and Scopus for academic visibility, with a focus on integrating theoretical cryptography with practical computational efficiency.

• Network Optimization
• Quantum Communication
• Machine Learning
• +۶ مورد دیگر

Dr. Avishek Nag is an Assistant Professor in the School of Computer Science at University College Dublin, Ireland. His work focuses on network optimization, quantum communication, machine learning, and 6G technologies. He holds a PhD from the University of California, Davis, and has over 100 publications in journals, conferences, and book chapters. Education: B.E. (Honours) in Computer Science from Jadavpur University (2005) M.Tech. from Indian Institute of Technology Kharagpur (2007) Ph.D. in Computer Science from University of California, Davis (2012) Research Interests: Quantum Networks & Key Distribution (QKD) 6G Networks & Explainable AI IoT Security & Edge Computing Optical Network Optimization Machine Learning for Biometrics & Healthcare Recent Publications: Recent work includes hybrid noise modeling for quantum satellite communication, XAI-driven network slicing for 6G, and ECG-based biometric systems. His research bridges theoretical advancements with practical implementations in telecommunications and cybersecurity. Awards: 2008 IEEE Advanced Networks Best Paper Award Grants & Leadership: Outreach Lead for IEEE UK & Ireland Blockchain Group Coordinated Cross-Atlantic EU-US testbed experiments Teaching: Teaches Distributed Systems, Wireless Communications, and Software Engineering at UCD.

Ryan T. Glasserمشاهده پروفایل

دانشیار

• Quantum Information
• Nonlinear Optics
• Quantum Optics
• +۳ مورد دیگر

Ryan T. Glasser is an Associate Professor at Tulane University's School of Science and Engineering, leading research at the intersection of quantum information, nonlinear optics, and machine learning. He directs the Quantum Information and Nonlinear Optics Group, investigating quantum communication protocols, quantum state estimation, and optical technologies enhanced by machine learning. Dr. Glasser's research focuses on: Machine learning applications in quantum state reconstruction Quantum communication through turbulent channels Development of open-source tools for experimental control Optical analogues of quantum phenomena His lab explores four-wave mixing processes in atomic vapor to generate entangled photon states and develops neural network approaches for correcting atmospheric turbulence in free-space optical communications. Recent work demonstrates quantum-enhanced sensing using classical light and machine-learning-assisted Bayesian quantum state estimation. Professor Glasser organizes the annual Quantum Information Technologies in Louisiana (QuILT) conference to foster regional collaboration in quantum sciences. His research has been supported by grants from the U.S. Army Research Office, DARPA, Northrop Grumman, and the Office of Naval Research.

Emanuel Regnathمشاهده پروفایل

مربی

• IoT Security
• Blockchain Applications
• Embedded Systems Security
• +۳ مورد دیگر

Emanuel Regnath is a Tutor at the Chair of Embedded Systems and Internet of Things under Prof. Dr. Sebastian Steinhorst at the Technische Universität München . His work spans research, teaching, and supervision of student theses. Research focuses on Secure Decentralization Methodologies for the Internet of Things Teaching includes courses like Software Architecture for Distributed Embedded Systems and IoT Security His research interests include: Consensus Protocols for Cyber-Physical Systems synchronization Blockchain applications in resource-constrained devices Lightweight Message Authentication using hash-based signatures Key publication trends span: Decentralized vehicle coordination (2019-2021) Blockchain verification for IoT (2015-2020) Security architectures for autonomous systems (2017-2021) Supervised student work includes: Tariro Chingosho: "Designing a Notation System for Consensus Algorithms" (2021) Donát Nagy: "Reputation Framework to Increase Reputation Accuracy" (2021) Markus Moskopp: "Implementation and Evaluation of Consensus Protocols for IoT Systems" (2021) ...and 12 other theses from 2015-2021.

Hamid Tebyanianمشاهده پروفایل

مدرس

• Quantum Cryptography
• Quantum Communication
• Quantum Optics
• +۴ مورد دیگر

Dr. Hamid Tebyanian is a Lecturer in Physics and Astronomy at Queen Mary University of London’s School of Physical and Chemical Sciences. His work bridges quantum science with artificial intelligence and post-quantum cryptography, focusing on secure quantum communication protocols, entanglement sources, and quantum randomness generation. He holds affiliations with the National Physical Laboratory (NPL), ID Quantique (Switzerland), and was a Marie Curie Fellow across the University of Geneva, Vigo, and Padova. Research Interests: Quantum Cryptography: Device-independent security frameworks, quantum key distribution (QKD), and QRNG validation Quantum Communication: Entanglement-based protocols for secure networks and Bell inequality violations Quantum Optics: Superconducting nanowire detectors (SNSPDs), parametric down-conversion, and single-photon imaging Hybrid Security Models: Integrating post-quantum crypto with quantum systems to counter classical/quantum adversaries Collaborations: Partnered with 14 institutions including Toshiba, Quantinuum, and NPL on UK-wide quantum security projects. Developed QRNG certification standards using machine learning. Grants & Projects: Marie Curie Fellowship (European “Quantum Communication for All” project) National Physical Laboratory research on entanglement sources UK-wide QRNG assurance project with industry leaders Labs & Teams: Active in QMUL’s quantum computing lab, NPL’s quantum communication group, and ID Quantique’s detector design team.

• Nanomaterials Synthesis
• Toxins Detection
• Raman Spectroscopy
• +۷ مورد دیگر

Dr. Ioana Andreea Brezestean is a Scientific Researcher III (R2 rank) at the National Institute for Research and Development in Isotopic and Molecular Technologies (Cluj-Napoca, Romania). She holds a PhD in Physics (2022) and Master's degrees in Medical Physics (2013, 2015) from Babeș-Bolyai University . Her work focuses on nanomaterial synthesis , SERS substrate development , and environmental/health monitoring through advanced spectroscopic techniques. Current projects include NanedisSERS (bioinspired 3D nanoplatforms for neurodegenerative disease diagnostics) and AL-DIBI SERS (Alzheimer's biomarker detection using gold nanourchins). Her expertise spans nanoparticle fabrication (silver/gold), microfluidic sensor design , and multi-modal characterization (Raman, FT-Raman, SERS, TERS, microscopy). She contributes to eco-friendly nanocomposite development in projects like ECONANO4AUTO (bio-PA materials with chicken feather derivatives). Key collaborations include SINTEF AS (Norway), University of Medicine and Pharmacy 'Iuliu Hațieganu' , and NANOM MEMS SRL . Her methodology integrates DFT calculations , quantum chemistry modeling , and statistical pattern recognition for pathogen resistance analysis.

David Maloneمشاهده پروفایل

استاد

• Mathematical modeling of wireless networking
• Network measurement
• IPv6
• +۸ مورد دیگر

David Malone is a Professor and Director of the Hamilton Institute at Maynooth University's Faculty of Science & Engineering, Department of Mathematics & Statistics. He received his BA(mod), MSc and PhD degrees in mathematics from Trinity College Dublin in 1996, 1997 and 2000 respectively. During his postgraduate studies, he became a member of the FreeBSD development team. After working at Corvil Networks, he joined the Dublin Institute of Technology as a senior researcher in 2001 before moving to Maynooth University's Hamilton Institute in 2004. His research interests span mathematical models of wireless networking, network measurement, IPv6, WiFi, PLC, password use, security, 802.11 protocols, Internet measurement, time keeping, and the evolution of the Irish secondary education system. Malone has made significant contributions to networking literature and is the co-author of O'Reilly's 'IPv6 Network Administration'. His recent publications demonstrate strong activity across multiple domains including password security, network measurement, IPv6 deployment, and authentication systems. Malone's work shows a consistent focus on practical networking problems with theoretical foundations in mathematics. His research has evolved from fundamental mathematical work to applied networking research with significant real-world impact. As an academic supervisor, Malone has guided numerous PhD and Master's students through their research, with recent graduates including Hazel Murray (PhD, 2021), Peter Keane (MSc, 2020), and Ashley Sheil (PhD, 2024). His supervision record spans topics in networking, security, and mathematical applications. Malone maintains active involvement in the Hamilton Institute, where he directs research activities focusing on mathematical and statistical approaches to complex systems. His work bridges theoretical mathematics with practical networking applications, creating a unique interdisciplinary research profile.

Torrey Wagnerمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Data Analytics
• +۷ مورد دیگر

Dr. Torrey Wagner serves as an Assistant Professor of Data Analytics at the Air Force Institute of Technology (AFIT), where he supports the Data Analytics graduate certificate program. He develops and teaches core courses including DASC 522 Machine Learning, SATI 532 Data Visualization & Communication, and DASC 511 Object-Oriented Programming using Python. His instructional focus centers on applying data analytics techniques to solve military problems through the CRISP-DM process framework. Dr. Wagner earned his PhD in Electrical Engineering with an Electro-optics focus from AFIT in 2010, an MS in Aerospace Systems Engineering from Loughborough University (UK) in 2004, and a BS in Electrical Engineering from the University of Minnesota in 2000. His educational background bridges electrical engineering, aerospace systems, and advanced data analytics. His research concentrates on applying predictive and generative artificial intelligence techniques to enhance Department of Defense organizational efficiency and performance. Dr. Wagner's scholarly work spans machine learning applications for defense systems, energy optimization for military operations, quantum computing advancements, and natural language processing solutions for defense contexts. He has developed specialized methodologies for military problem-solving through data analytics, with emphasis on practical implementation in operational environments. Dr. Wagner's publication record reveals a strategic evolution toward cutting-edge AI applications. Recent work demonstrates significant focus on large language models, retrieval-augmented generation systems, and quantum computing implementations. His research portfolio includes machine learning applications for aircraft engine cost prediction, satellite imagery analysis, seismic event classification, and energy system optimization for austere military environments. This work consistently bridges theoretical AI advances with tangible defense applications. As an educator and mentor, Dr. Wagner has guided dozens of students through their first publications and presentations. His students frequently co-author peer-reviewed journal articles and conference papers, primarily at the master's level with several doctoral candidates. He has contributed to AI education within military contexts through his chapter "Augmenting a Curriculum Review with Generative AI" in the AFIT Generative AI Teaching Guidebook and other educational resources. Dr. Wagner's research supports multiple AFIT initiatives focused on data analytics for defense applications. His work involves extensive collaboration with Department of Defense organizations to implement AI technologies in practical military settings, particularly in energy systems optimization, aircraft operations analytics, and decision support tools for commanders. Current projects include secure offline large language model implementations, quantum communication network resilience, and advanced data visualization techniques for military decision-making.

OKAMOTO Eijiمشاهده پروفایل

استاد

• Quantum Cryptography
• Satellite Communications
• Wireless Networks
• +۳ مورد دیگر

OKAMOTO Eiji is a Professor at the Department of Electrical and Mechanical Engineering, School of Engineering, Nagoya Institute of Technology. His research focuses on quantum cryptography, satellite communications, wireless networks, 5G/6G technology, information security, and Sub-THz imaging. He has made significant contributions to the fields of quantum key distribution, non-terrestrial networks, and secure wireless communications. OKAMOTO received his Doctor of Informatics from Kyoto University in 2003, Master of Engineering in 1995, and Bachelor of Engineering in 1993, all from Kyoto University. Prior to his current position, he worked at the Communications Research Laboratory, Ministry of Posts and Telecommunications (1995-2002), NICT (2011-2013), and Simon Fraser University (2004). Professor OKAMOTO's research interests span multiple cutting-edge areas in communications technology. His work in quantum cryptography focuses on improving information reconciliation for continuous-variable quantum key distribution using polar codes and raptor codes. In satellite communications, he has conducted extensive research on non-terrestrial networks and optical satellite data relay systems. His contributions to wireless networks include developing low-latency communication techniques, advanced multiple access methods, and secure communication protocols. His recent work in Sub-THz imaging has led to innovations in hazardous material identification and complexity reduction methods. Analysis of his recent publications reveals a strong focus on quantum key distribution systems, with multiple papers addressing information reconciliation efficiency. There's also a significant emphasis on non-terrestrial networks for 6G applications, particularly leveraging LEO satellites and optical communications. His research bridges theoretical advances with practical implementations, as evidenced by numerous papers on experimental demonstrations and system implementations. Education Achievement Award from IEICE (2025) Best Paper Award from IEICE Communications Society (2024) Satellite Communication Research Award (2023) Activity Merit Award (Review Committee) (2022) Meritorious Service Award (Research Committee Chair) (2022) Excellent Teaching Award from Nagoya Institute of Technology (2022) IEICE ComEX Top Downloaded Letter Award (2022) IEICE Fellow (2022) Professor OKAMOTO actively mentors numerous graduate students, with recent research involving M1 and M2 students working on quantum cryptography, Sub-THz imaging, and non-terrestrial networks. His laboratory at Nagoya Institute of Technology has received funding for research on quantum cryptography communication (2019), autonomous driving (2014), sensor networks (2009), and optical satellite communication (2008). He has served as a committee member for numerous academic societies including IEEE and IEICE. Professor OKAMOTO leads the Eiji Okamoto Laboratory at Nagoya Institute of Technology, which focuses on creating next-generation mobile and satellite communication systems. The laboratory aims to cultivate independent thinking engineers while developing new wireless (and wired) communication methods to realize a safer, more secure, and more convenient super-smart society. Current research projects include quantum cryptography, Sub-THz imaging for security applications, non-terrestrial networks for 6G, and low-latency communication techniques for autonomous driving and V2X applications.

Nicholas Güskenمشاهده پروفایل

استادیار

• Nanophotonics
• Quantum Optics
• Plasmonics
• +۳ مورد دیگر

JProf. Dr. Nicholas Güsken is a Tenure Track Assistant Professor (W1) at the Department of Physics (Experimentelle und angewandte Physik) at Paderborn University, affiliated with the Institute for Photonic Quantum Systems (PhoQS) and the Center for Optoelectronics and Photonics (CeOPP). His research focuses on nanophotonics, plasmonics, and quantum-optoelectronic systems, with emphasis on integrating novel materials and nanostructuring for advanced optical devices. Education: PhD from Imperial College London (2017-2020), followed by postdoctoral research at Stanford University (2021-2025). Awards: Member of the Junge Akademie (2025), recipient of the NRW-Returning Scholar Program grant (€1.25M). His work spans plasmonic modulators, quantum key distribution systems, and nanoscale light-matter interactions. Key contributions include low-loss plasmonic devices, enhanced erbium emission in waveguides, and tunable vector beam decoders for high-dimensional quantum communication. He has developed fabrication methods for aluminum plasmonic waveguides and pioneered techniques for analyzing dipolar nano-emitters using non-paraxial light fields. Current projects explore nanofocusing for nonlinear optics, hot-carrier-based photodetection, and integrating plasmonics with semiconductor technologies. His research bridges fundamental photonics with applied optoelectronic systems for telecommunications and quantum technologies.

Mark M. Wildeمشاهده پروفایل

دانشیار

• Quantum Computing
• Quantum Information Theory
• Quantum Error Correction
• +۳ مورد دیگر

Dr. Mark M. Wilde is an Associate Professor in the School of Electrical and Computer Engineering at Cornell University and an Adjunct Professor in the Department of Physics and Astronomy at Louisiana State University. He holds a Ph.D. in electrical engineering from the University of Southern California. His primary research focuses on quantum information theory, quantum computing, quantum error correction, and quantum computational complexity. He has authored influential textbooks such as *Quantum Information Theory* and *Principles of Quantum Communication Theory*, widely used in graduate courses globally. Wilde’s research explores foundational aspects of quantum communication, including quantum Shannon theory, network quantum information theory, and quantum algorithms. He has contributed to advancements in quantum error correction, quantum cryptography, and thermodynamics. His work bridges theoretical insights with practical applications in quantum technologies. Notably, he has co-authored groundbreaking results on quantum channel capacities, entanglement-assisted quantum coding, and quantum hypothesis testing. Wilde has secured grants from institutions like the Simons Foundation and the National Science Foundation. His awards include the IEEE Fellow distinction and the 2018 AHP-Birkhauser Prize. He collaborates extensively, publishing over 100 peer-reviewed articles, and his research impacts fields from quantum computing to biophysics. His recent work emphasizes quantum algorithms, thermodynamic limits, and privacy-preserving quantum protocols. Education: Ph.D. in Electrical Engineering, University of Southern California (2009). Grants: Supported by NSF, Simons Foundation, and others. Labs/Teams: Leads research groups in quantum information theory and collaborates with interdisciplinary teams on quantum algorithms and applications.

Mujtaba Zahidyمشاهده پروفایل

پژوهشگر ارشد

• Quantum Key Distribution
• Quantum Cryptography
• Photonics
• +۵ مورد دیگر

Mujtaba Zahidy is a Research Fellow at the Department of Electrical and Photonics Engineering at Technical University of Denmark (DTU), working within the High-Speed Optical Communications Centre of Excellence for Silicon Photonics for Optical Communications. His research portfolio spans quantum communication, quantum cryptography, and advanced photonics, with significant contributions to practical implementations of quantum key distribution systems. Dr. Zahidy's research focuses on overcoming fundamental challenges in quantum communication, with particular emphasis on: High-dimensional quantum key distribution protocols Integration of quantum communication with classical optical networks Temporal multiplexing techniques for quantum information processing Development of practical quantum communication infrastructure Resilience of quantum systems to noise and interference Information reconciliation methods for quantum cryptography His recent publications demonstrate a strong trajectory toward making quantum communication technologies more practical for real-world implementation, with several 2024-2025 papers addressing critical engineering challenges in deploying quantum networks alongside existing telecommunications infrastructure. Dr. Zahidy actively supervises PhD research through two major projects: Quantum Communication and Co-Existence with Classical Communication (2025-2028) with PhD student Sirovich, F. Quantum communication using high-order modes (2023-2026) with PhD student Beraza, I. His collaborative network spans multiple European institutions, with notable partnerships in Italy, contributing to the development of European quantum communication infrastructure. His work directly supports UN Sustainable Development Goals related to technological innovation and secure communications.