جست‌وجوی استاد و پژوهشگر

Rajan Shankaranمشاهده پروفایل

مدرس ارشد

• Network Security
• Mobile Communication Protocols
• Internet of Things
• +۴ مورد دیگر

Rajan Shankaran is a Senior Lecturer at Macquarie University's School of Computing, part of the Faculty of Science and Engineering. He serves as Course Director for postgraduate programs in Networking and IoT, and chairs the IEEE VTS NSW Chapter. His roles include membership in the University Academic Senate Curriculum Subcommittee and representation on the FSE Faculty Board. Education: MBA (MIS) from Maastricht School of Management; M.Sc. (Hons.) and Ph.D. in Network Communications and Security from University of Western Sydney. Research focuses on Network Security, Mobile Communication Protocols, IoT, Network-on-Chip, and Medical Implant Security. He has led projects like 'Digital Health Records Storage and Analysis for Global Patients' and organized IEEE events such as NOMS 2017. Notable awards include IEEE Senior Member status. Recent work includes publications on wireless network security, optimization algorithms, and IoT-enabled healthcare systems. He advises on over 70 research outputs and has contributed to 4 major projects addressing cybersecurity and network efficiency. Labs/Teams: Active in the Future Communications Research Centre, collaborating on 5G/IoT security and edge computing applications.

Sundeep Ranganمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• Information Theory
• +۵ مورد دیگر

Sundeep Rangan is a Professor in the Electrical and Computer Engineering Department at NYU Tandon School of Engineering, and Associate Director of NYU WIRELESS, an industry-academic research center focused on next-generation wireless systems. He holds a B.A.Sc. from the University of Waterloo, Canada, and M.Sc. and Ph.D. from UC Berkeley, all in Electrical Engineering. His research spans wireless communications, signal processing, information theory, and control systems. He co-founded Flarion Technologies (acquired by Qualcomm) and contributed to Flash OFDM, a precursor to 4G/LTE systems. Education: Bachelor of Applied Science, Electrical Engineering, University of Waterloo (1992) Master of Science, Electrical Engineering, UC Berkeley (1995) Doctor of Philosophy, Electrical Engineering, UC Berkeley (1997) His research focuses on millimeter-wave 5G/6G systems, approximate message passing algorithms, and wireless networking. Key contributions include channel modeling via generative neural networks and energy-efficient mmWave receiver design. He has received the IEEE Fellow distinction and led projects funded by NSF, OPPO, and industry partners. Notable collaborations include work on cloud-based robot control using 5G edge computing (with Ludovic Righetti) and multi-array designs for UAV communications. His teaching includes machine learning and communication theory courses.

Mea Wangمشاهده پروفایل

استاد

• Networking systems and algorithms
• Multimedia networking
• Cloud computing
• +۴ مورد دیگر

Professor Mea Wang is a faculty member in the Department of Computer Science at the University of Calgary, affiliated with the Faculty of Science. She leads the NetMedia.Sys lab, focusing on bridging computing and networking in systems like multimedia and cloud environments. Her work emphasizes enhancing Quality-of-Service (QoS) for providers and Quality-of-Experience (QoE) for users. Education: Bachelor of Computer Science (Honours), University of Manitoba (2002) Master of Applied Science (MASc), University of Toronto (2004) Doctor of Philosophy (PhD), University of Toronto (2008) Research Interests: Networking systems, multimedia streaming, cloud computing, distributed systems, extended reality (XR), data science, and accessibility technologies for neurodivergent populations. Her lab develops open-source tools like iStream and collaborates with industry partners such as Cybera and AT&T. Recent Research Directions: Digital accessibility for physical spaces, AR/VR systems for nonspeaking autistic individuals, and optimization of multimedia distribution in heterogeneous networks. Her work spans over 60 publications in top conferences/journals, with a focus on practical implementations and industry impact. Awards: University of Calgary Research Excellence Chair (2024) Parex Innovation Fellowship (2023) Order of the University of Calgary (2022) PEAK Scholar Award (2019) Labs & Teams: Director of the NetMedia.Sys lab, which houses advanced infrastructure including server clusters, IoT devices, and extended reality gear. Current projects include digital twins, immersive education tools, and SDN-based streaming optimizations.

Shih-Chun Linمشاهده پروفایل

دانشیار

• Networking
• Machine Learning and AI
• Communications
• +۷ مورد دیگر

Dr. Shih-Chun Lin is an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University, part of the College of Engineering. His research focuses on wireless software-defined networking systems, IoT, cyber-physical systems, and communications technologies. He holds a Ph.D. in Electrical and Computer Engineering from Georgia Institute of Technology (2017). His research interests include machine learning applications in networking, network function virtualization, and wireless communication in challenging environments such as underground and underwater systems. He has contributed to advancements in edge computing, vehicular networks, and satellite communication protocols. Dr. Lin has been recognized with awards including the 2020 Distinguished TPC Member Award at IEEE INFOCOM and the 2016 Best Student Paper Award Runner-up at IEEE SCC. His work emphasizes practical implementations alongside theoretical analysis, addressing challenges in next-generation cellular networks and 6G technologies. His publications span topics such as satellite swarm dynamics, federated learning in edge networks, and optical cross-connect architectures. Collaborations focus on integrating AI-driven solutions for network optimization and resilience.

Mihail Sichitiuمشاهده پروفایل

استاد

• Wireless Networking
• Multi-hop Networking
• Wireless Local Area Networks
• +۵ مورد دیگر

Mihail Sichitiu is a Professor in the Department of Electrical and Computer Engineering at North Carolina State University. His work focuses on wireless networking, particularly multi-hop networks and UAV communication systems. Ph.D. (2001), Electrical Engineering, University of Notre Dame M.S. (1998), Electrical Engineering, University of Notre Dame M.S. (1996), Electrical Engineering, Politechnica University of Bucharest B.E. (1995), Electrical Engineering, Politechnica University of Bucharest Research spans wireless networking, 5G UAV communication, and spectrum analysis. Recent work includes aerial RF measurements, digital twin testbeds, and mmWave drone corridors. Contributed to AERPAW (NSF-funded advanced wireless testbed) and CentMesh (open-source outdoor mesh network). Collaborated with Ericsson on 5G drone research for smart agriculture.

Carlo Koppمشاهده پروفایل

مدرس

• Modelling Deception
• Cognitive Cycle Modelling
• Ad Hoc Networks
• +۹ مورد دیگر

Carlo Kopp is a Lecturer in the Department of Software Systems & Cybersecurity at Monash University's Faculty of Information Technology. His research focuses on information-theoretic models of deception in social and biological systems, perceptual errors, cognitive cycles, and distributed computing. He has held adjunct roles at Monash Asia Institute (2005–2010) and ADFA@UNSW (2004), and serves as Editor-in-Chief and Research Lead at Air Power Australia since 2004. He advises parliamentary committees and media on issues like high-power electromagnetic events (e.g., NCIS LA episode 3.11). Education: PhD in Computer Science, Monash University (2000) MSc (Research) in Computer Science, Monash University (1996) BEng (Hons) in Electrical Engineering, University of Western Australia (1984) Research Interests: Modelling deception in complex systems, ad hoc networks, radar propagation, and strategic military analysis. He explores topics like disinformation effects, renewable energy in cloud computing, and cognitive biases. Awards: Best Paper Award (2002) Outstanding Teaching Award (2015) Australian Industry Certificate Award (2010) Teaching: Chief Examiner and Lecturer for courses including Network Architecture (FIT2020), Distributed Computing (FIT3142), and Advanced Network Design (FIT5011). Previously led curriculum design for Computer Networks and Telecommunications Management units. Industry Experience: 20+ years as a software/hardware engineer, project manager, and consultant in embedded systems, operating systems, and strategic technology planning. Managed ISO9001 accreditation for an Australian computer manufacturer. Community Work: Advised US Congressional bodies and testified before Australian parliamentary committees on disinformation and cybersecurity. Serves as a Fellow of the Lean Systems Society and Associate Fellow of AIAA.

• Software-Defined Networking
• Cloud Computing
• Network Security
• +۴ مورد دیگر

Ameen Chilwan serves as an Assistant Professor in the Department of Information Security and Communication Technology within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). His office is located at Elektro A, A-262, Gløshaugen, with contact information including email ameen.chilwan@ntnu.no and phone +4746355118. Dr. Chilwan's research spans multiple domains in network technologies with particular expertise in software-defined networking (SDN), cloud computing infrastructure, and real-time internet services. His work demonstrates consistent evolution from foundational network architecture research toward contemporary applications in 5G edge clouds and smart grid systems. The interdisciplinary nature of his research bridges computer networking with energy systems and underwater communications. Analysis of his publication record from 2011-2024 reveals a clear progression from theoretical network modeling toward practical implementation challenges. Early work focused on OpenFlow-based SDN architectures (2012-2015), followed by expansion into cloud service availability (2011-2012), then underwater sensor networks (2014), and most recently machine learning applications for smart grids (2024). This trajectory demonstrates both technical depth in networking fundamentals and increasing breadth across application domains. Dr. Chilwan teaches courses including DCSG2001 - Sammenkoblede nettverk og nettverkssikkerhet, TTM4180 - Nettverkshåndtering, and DCSG1006 - Datakommunikasjon og nettverk, reflecting his expertise in network security, management, and communications. His academic service includes outreach activities through conference presentations and academic lectures at international venues including EUNICE, FIT, and ICCCN.

• Computer Networking
• Network Performance Analysis
• Stochastic Network Calculus
• +۵ مورد دیگر

Yuming Jiang is a full Professor at NTNU's Department of Information Security and Communication Technology (Faculty of Information Technology and Electrical Engineering). He holds a BSc from Peking University, MEng from Beijing Institute of Technology, and PhD from National University of Singapore (NUS). His research focuses on network performance analysis, stochastic network calculus, and quality of service guarantees in communication networks. He authored the seminal book Stochastic Network Calculus (Springer, 2008). He has held roles including Study Programme Leader for NTNU's Master of Science in Digital Infrastructure and Cyber Security, and is a member of the Norwegian Academy of Technological Sciences (NTVA). Prof. Jiang has extensive experience in academic leadership, serving as conference chair (e.g., IFIP Networking 2014, IEEE Vehicular Technology Conference 2008) and committee roles in major networking communities. His work spans theoretical advancements (e.g., stochastic network calculus properties) and practical applications (e.g., UAV-assisted IoT security, NFV reliability). Key research contributions include modeling wireless channel capacity, analyzing time-sensitive networks (TSN/DetNet), and developing security frameworks for emerging communication systems. His publications (over 150 papers) bridge theoretical foundations and real-world network challenges in areas like energy-efficient communication, cyber-physical systems, and blockchain performance.

• Cybersecurity
• Smart Grids
• Critical Infrastructure Protection
• +۶ مورد دیگر

Stephen Dirk Bjørn Wolthusen is a Professor in the Department of Information Security and Communication Technology at NTNU (Norwegian University of Science and Technology) located in Gjøvik. His research focuses on cybersecurity, smart grids, critical infrastructure protection, and adversarial attack analysis in cyber-physical systems. He has published extensively in top-tier venues like IEEE Transactions, LNCS, and IFIP series. Wolthusen's work spans theoretical frameworks (e.g., π-calculus modeling, queueing networks) and applied domains such as SCADA systems, smart grid resilience, and IoT security. He has collaborated on projects involving tactical service-oriented architectures, software-defined networks, and privacy-preserving healthcare systems. His recent research emphasizes adversary-resistant topology design, dynamic policy enforcement, and resilience metrics for critical infrastructure. Key contributions include frameworks for threat modeling in industrial control systems, formal verification of CPS protocols, and analysis of adversarial attacks on communication protocols like IEC 61850. His work bridges theoretical computer science with practical engineering challenges in cybersecurity and networked systems.

Kamran Entesariمشاهده پروفایل

استاد

• Radio Frequency Integrated Circuits
• RF Photonics
• Microwave Sensing Systems
• +۵ مورد دیگر

Kamran Entesari is a Professor of Electrical and Computer Engineering at Texas A&M University, holding the Texas Instruments Engineering Professorship. His research focuses on RF/microwave/mm-wave integrated circuits, integrated RF photonics, and biochemical sensing systems. He leads projects in silicon photonics, millimeter-wave communication, and dielectric spectroscopy. Education: Ph.D., Electrical Engineering, University of Michigan, Ann Arbor (2005) M.S., Electrical Engineering, Tehran Polytechnic University (1999) B.S., Sharif University of Technology (1995) Research Interests: RFIC and mm-wave systems for 5G and beyond Photonic-integrated circuits for next-gen communication Biomedical sensing via microwave dielectric spectroscopy Low-power, high-linearity transceiver architectures His work bridges silicon photonics with traditional RF systems to enable high-speed, low-power solutions. Recent Research Trends: Recent publications emphasize hybrid CMOS-silicon photonics for mm-wave front-ends, full-duplex transceivers, and ultra-wideband sensing systems. Key innovations include reconfigurable photonic filters, beamforming networks, and interferometric sensors. Awards: IEEE Fellow (2025) Qualcomm Faculty Award (2017, 2018) NSF CAREER Award (2011) Outstanding Faculty Award (2012) Grants & Labs: Leads the SpecEES Initiative for energy-efficient mm-wave platforms. Collaborates with Texas Instruments on silicon photonics integration. His lab develops prototypes ranging from chip-scale sensors to phased array systems. Facility Affiliations: Based in the Wisenbaker Engineering Building (WEB 315C), part of Texas A&M's College of Engineering. Active in the Department's photonics and RFIC research clusters.

Alex Sprintsonمشاهده پروفایل

استاد

• Networking
• Network Coding
• Security and Privacy
• +۴ مورد دیگر

Prof. Alex Sprintson is a Professor in the Department of Electrical and Computer Engineering at Texas A&M University, affiliated with the College of Engineering. He currently serves as a rotating Program Director at the NSF, managing networking research programs such as NeTS, SaTC, RINGS, and MLWiNS. His research focuses on algorithmic and information-theoretic aspects of networking, network coding, security, privacy, distributed storage systems, wireless communication, and software-defined networking. Sprintson holds a Ph.D., M.S., and B.S. in Electrical Engineering from Technion-Israel Institute of Technology (2003, 2001, 1995). His academic accolades include the Wolf Award, Viterbi Fellowship, TAMU Outstanding Contribution Award, and NSF CAREER Award. He has served on editorial boards (e.g., IEEE Transactions on Wireless Communications) and conference committees (e.g., IEEE Infocom). His work spans theoretical frameworks for secure communication, privacy-preserving protocols, and efficient distributed systems. Research highlights include pioneering contributions to private information retrieval, network coding applications, and coded computing. He leads projects on securing next-generation wireless networks and optimizing distributed storage systems. His NSF roles involve advancing research in machine learning for wireless systems and resilient cyber-physical infrastructure.

• Control Systems
• Optimization
• Engineering Education
• +۷ مورد دیگر

Dr. Paul N Beuchat is a Senior Lecturer - Education Specialist in the Department of Electrical and Electronic Engineering at the Faculty of Engineering and Information Technology. His expertise spans control systems, optimization techniques, and engineering education, with a focus on approximate dynamic programming and its applications in robotics and autonomous systems. Education : PhD in Automatic Control from ETH Zurich (2019) M.Sc. in Robotics, Systems and Control from ETH Zurich (2014) B.Eng. in Mechanical Engineering and B.Sc. in Physics from University of Melbourne (2008) Research Interests : Paul's research integrates control theory with educational innovation. He develops approximate dynamic programming algorithms for large-scale systems, particularly in building control and quadcopter coordination . His work also explores project-based learning pedagogies, leveraging hardware-accelerated computing and IoT technologies to enhance engineering education. Recent Publications emphasize interdisciplinary teaching methods , quadcopter control systems , and data-driven optimization for autonomous vehicles. His projects include 5G URLLC Factory of the Future (2022-2023), reflecting his commitment to bridging theoretical control systems with practical educational frameworks. Advising & Grants : Paul contributes to educational grant initiatives such as the 5G URLLC Factory of the Future research contract. He actively participates in curriculum development and pedagogic research , focusing on student engagement and competency-based learning in engineering.

Sebastian Huntمشاهده پروفایل

مدرس ارشد

• Software Engineering
• Systems Engineering
• Information Flow Security
• +۷ مورد دیگر

Dr. Sebastian Hunt is a Senior Lecturer in the Department of Computing at City St George's, University of London. He has been a faculty member since 1992, progressing from Lecturer to Senior Lecturer in 2005. His academic foundation includes a BSc in Physics and Philosophy from the University of Bristol and an MSc and PhD in Computing from Imperial College London. Research Interests: His primary research lies in Software and Systems Engineering, with a strong emphasis on information flow security, semantics of security policies, and enforcement mechanisms. He investigates how security policies can be formally defined and enforced in programming languages, particularly focusing on information erasure, termination-insensitive noninterference, and quantitative information flow. His work bridges theoretical computer science with practical security concerns in software systems. Publication Trends: His recent publications, spanning from 2001 to 2023, demonstrate a consistent focus on formal methods in security. He frequently publishes in high-impact venues like PACMPL, IEEE CSF, and ESOP. A key trend is the evolution from qualitative to quantitative models of information flow, culminating in recent work that reconciles Shannon's information theory with Scott's domain theory for a more robust model of computable information. Scientific Awards and Memberships: Educational Affiliate Employee, British Computer Society (2011–present) Programme Committee Member, 14th International Conference on Verification, Model Checking and Abstract Interpretation (VMCAI 2013) Programme Committee Member, 8th International Conference on Information Systems Security (ICISS 2012) Advising and Grants: While specific advisees are not listed, his long-standing research collaborations with prominent figures like David Sands and Isabella Mastroeni suggest a strong mentoring role. His research has been supported by funding bodies such as the Swedish Science Council (SSF), as acknowledged in his recent work. His program committee roles indicate significant service to the academic community. Labs and Teams: The provided text does not mention specific labs or research teams. However, his extensive collaborative work, particularly with researchers from other institutions, suggests active participation in international research networks focused on programming languages and security.

• Cyber Security
• Big Data Analytics
• Software Engineering
• +۲ مورد دیگر

Dr. Faheem Ullah is an Assistant Professor in the School of Computer and Mathematical Sciences at the University of Adelaide. He holds a dual role as Lecturer/Assistant Professor and is part of the Centre for Research on Engineering Software Technologies (CREST), where he leads R&D in big data analytics and cloud computing. His research focuses on cybersecurity, big data analytics, software engineering, cloud computing, and machine learning. He has applied these skills in healthcare, oil & gas, defense, and green computing domains. Dr. Ullah is eligible to supervise Masters and PhD students as a co-supervisor, emphasizing collaborative research endeavors. He actively contributes to the design and evaluation of cybersecurity systems, including frameworks for microservices, distributed data processing, and adaptive security analytics. His work bridges theoretical advancements with industry applications, addressing challenges such as vulnerability analysis in microservices, AI-driven threat detection, and optimizing cloud infrastructure. He is a sought-after expert in cybersecurity and cloud-native technologies, with a strong publication record in top-tier venues.

Adrián Pekárمشاهده پروفایل

پژوهشگر ارشد

• Computer Networks
• Network Traffic Optimization
• Software-Defined Networks (SDN)
• +۳ مورد دیگر

Adrián Pekár is a Senior Research Fellow at the Department of Networked Systems and Services, Budapest University of Technology and Economics (BME). He holds a PhD in Computer Networks from the Technical University of Kosice (TUKE), Slovakia (2014), and a bachelor's degree from TUKE (2011). His research focuses on optimizing network traffic measurement, monitoring platforms, and enhancing techniques for traffic classification, data reduction, and visualization in traditional and software-defined networks. Adrian's career includes roles as a Virtual Infrastructure Network Engineer at TUKE's Institute of Computer Technology (post-PhD), a Postdoctoral Fellow at Victoria University of Wellington (2016–2019), and an Assistant Professor (Lecturer) at BME (2019–2022). His current work continues to address challenges in network measurement and monitoring systems, leveraging both academic and practical expertise. No scientific awards or grants are explicitly mentioned in the provided text. His research interests emphasize interdisciplinary approaches to network efficiency and scalability.