جست‌وجوی استاد و پژوهشگر

• Cybersecurity
• Computer Networks
• Applied Computer Science
• +۴ مورد دیگر

Dr. Prakash Veeraraghavan is the Head of the Department of Computer Science and IT at La Trobe University, Melbourne, Australia. He holds an Associate Professor rank with extensive experience in academia and research. His career includes roles as Acting Head of Department (2022–2023), Teaching and Learning Coordinator, and prior academic positions at institutions like Universiti Putra Malaysia and the University of Madras. He earned a BSc (1987), MSc (1989), and PhD (1994) from Indian academic institutions. His research focuses on cybersecurity, computer networks, graph theory applications, and secure systems. Key interests include IoT security, network protocols, and cybersecurity policy frameworks, particularly in Saudi Arabia. He has authored over 96 publications, including works on smart city cybersecurity, multicast infrastructure, and AI-based educational systems. Dr. Veeraraghavan has received accolades such as the CSIRO OnPrime Pre Accelerator Program (2017), University Grants Commission-JRF (1989), and academic excellence awards for his degrees. He is also a Certified Cisco instructor in Cyber Operations and Networking. His teaching portfolio includes courses like Industry Development Project and Intermediate Network Engineering. He has contributed to non-academic roles, such as Regional Technical Adviser for the Canadian International Development Agency (1999–2002).

• Digital Communication
• Signal Processing for Communications
• Network Coding
• +۶ مورد دیگر

Mutlu Koca is a Professor at Bogazici University's Department of Electrical and Electronics Engineering, part of the Faculty of Engineering and Natural Sciences. His research interests center on digital communication systems, signal processing for communications, and network coding applications in IoT and NOMA systems. He leads the Wireless Communications Lab (WCL), focusing on cutting-edge topics like age of information optimization, spatial modulation techniques, and physical layer security. Key research areas include: 1) Developing low-latency communication protocols for IoT networks using network coding and dynamic scheduling strategies, 2) Enhancing NOMA systems through optimal user pairing and interference mitigation, 3) Advancing spatial modulation techniques with polarization diversity and precoding for MIMO systems, and 4) Securing wireless communications via channel correlation-resistant designs and physical layer security mechanisms. Recent work emphasizes age of information metrics in multi-source IoT networks and backscatter communication systems. His research bridges theoretical advancements with practical implementations, including hardware-efficient solutions for ultra-wideband systems and energy harvesting networks. Collaborations focus on smart city infrastructure and neuro-inspired communication architectures. He has advised numerous projects in wireless communication technologies and maintains an active presence in academic-industry partnerships. His lab's work has led to significant contributions in 5G/6G technologies, with ongoing efforts in AI-driven network security and edge computing integration.

• Telecommunications
• Networking
• Optimization
• +۵ مورد دیگر

Michał Pióro is a Professor at the Institute of Telecommunications and Cybersecurity within the Faculty of Electronics and Information Technology at the Warsaw University of Technology. His research focuses on telecommunications, networking optimization, and resilient network design with a particular emphasis on SDN security, wireless sensor networks, and adverse weather resilience. He has published extensively in top journals and conferences including Networks and IEEE Transactions . Key research areas include: Optimization of network controller placements against targeted attacks Resilience strategies for SDN architectures MIMO-based industrial network scheduling Free-space optics (FSO) network reliability in adverse conditions Game-theoretic approaches to network security Recent work highlights joint optimization of primary/backup controllers for SDN resilience and novel scheduling techniques for industrial control traffic using Massive MIMO systems. His research frequently intersects with practical applications in critical infrastructure and 5G deployments. He has collaborated extensively with researchers from institutions like INRIA (France), Telecom ParisTech, and multiple industry partners. His work has been supported by grants focusing on resilient communication networks and cybersecurity innovations.

Karol Puchałaمشاهده پروفایل

پژوهشگر

• Computer Networks
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Karol Puchała is a Researcher at the Department of Systems and Computer Networks, Faculty of Information and Communication Technology, Wrocław University of Science and Technology. He works on computer networks and machine learning, focusing on routing algorithms, concept drift detection, and software-defined networking. His research interests include: Ensemble methods in machine learning Network protocol simulation Feature extraction for multitask recognition Multicast/unicast flow optimization Software-defined networking experimentation His publications span 2006–2017 and demonstrate expertise at the intersection of network engineering and machine learning, with recurring themes in protocol analysis, adaptive systems, and algorithmic network design.

• Networking
• Internet of Things
• Cybersecurity
• +۵ مورد دیگر

Dr. Imed Romdhani is an Associate Professor in Networking at Edinburgh Napier University's School of Computing Engineering and the Built Environment. He has been with the university since June 2005 and is affiliated with the Centre for Distributed Computing, Networking and Security as well as the Centre for Cybersecurity, IoT and Cyberphysical Systems. His research falls under the broader theme of AI and Technologies, focusing particularly on networking, cybersecurity, and IoT applications. Dr. Romdhani earned his PhD from the University of Technology of Compiegne (UTC), France in May 2005. He also holds an engineering degree in networking from the National School of Computing (ENSI, Tunisia) and a Master's degree in networking from Louis Pasteur University of Strasbourg (ULP, France). Prior to joining Edinburgh Napier, he worked extensively with Motorola Research Labs in Paris where he authored 4 patents. Dr. Romdhani's research primarily focuses on networking technologies, particularly in the domains of Internet of Things (IoT), cybersecurity, and routing protocols. His work spans theoretical foundations to practical implementations, with significant contributions to RPL (Routing Protocol for Low-power and Lossy Networks), intrusion detection systems, and cloud service architectures. He has developed innovative approaches to security in IoT environments using machine learning techniques and has contributed to semantic models for cloud service discovery and orchestration. His recent work has expanded into building maintenance management systems using intelligent process automation and examining educational challenges in conflict zones. Analysis of Dr. Romdhani's publication record reveals a clear research trajectory evolving from foundational work on concurrency models and distributed systems (JCSP) to specialized networking protocols, and more recently to applied AI-driven security solutions for IoT and practical applications in building management and education. His work consistently bridges theoretical computer science with real-world applications, demonstrating both technical depth and practical relevance. Authored 4 patents during work with Motorola Research Labs in Paris Dr. Romdhani has supervised numerous PhD students throughout his career, with recent supervisions focusing on IoT security, blockchain applications, and building maintenance systems. His research has been supported by projects such as 'Reliable Internet of Things based monitoring & Surveillance in Oil & Gas Fields (RsIoT)' with a value of £66,635. He has also contributed to significant collaborative works including edited books on cybersecurity applications. As a member of the Centre for Distributed Computing, Networking and Security and the Centre for Cybersecurity, IoT and Cyberphysical Systems, Dr. Romdhani contributes to Edinburgh Napier's research ecosystem focused on next-generation networking technologies and security solutions. His recent work on educational support in conflict zones demonstrates his commitment to applying technical expertise to address pressing global challenges.

Shakeel Ahmadمشاهده پروفایل

دانشیار

• Multimedia Communications
• Computer Networks
• Network Optimization
• +۵ مورد دیگر

Dr. Shakeel Ahmad is an Associate Professor in the Department of Science and Engineering at Solent University since 2015. He leads the BSc (Hons) Cyber Security Management, BSc (Hons) Computer Systems and Networks Engineering, and MSc Applied AI and Data Science programs. His research focuses on optimizing multimedia communications and computer networks to maximize user quality of experience, particularly addressing challenges in video streaming over mobile and wireless networks. He holds a PhD (Dr.-Ing) from the University of Konstanz (2008), an MSc from TUHH, and a BSc from UET Lahore. Research Interests: Multimedia Communications Network Optimization for Video Streaming 4K/8K Video Transmission Virtual Reality Network Challenges Error Resilience Techniques His recent work explores digital content strategy in higher education, including website design, student recruitment tactics, and simplification of educational content ecosystems. He has secured significant funding, including £500k from the Office for Students (OfS) in 2020 for an AI/Data Science conversion course and £50k in 2021 for a National Data Skills Pilot project. Awards/Fellowships: Fellow of the Higher Education Academy PG Certificate in Higher Education Teaching & Advising: He teaches multimedia communications, AI, data science, and cybersecurity. Supervised multiple PhD completions and contributed to successful research projects like the EU-funded 'Community Network Game' (2010-2012). Active member of IEEE and IET.

Mahdi Boloursaz Mashhadiمشاهده پروفایل

پژوهشگر

• Signal Processing
• Wireless Communications
• Machine Learning
• +۳ مورد دیگر

Mahdi Boloursaz Mashhadi is a researcher at Imperial College London's Department of Electrical and Electronic Engineering, affiliated with the Information Processing and Communications Lab. He holds a Ph.D. in Electrical Engineering from Sharif University of Technology (2018), with prior research roles at the University of Central Florida and Queen's University. His expertise spans signal processing, wireless communications, machine learning applications in communication systems, and biomedical signal processing. Dr. Mashhadi's research focuses on massive MIMO channel state acquisition , deep learning-driven pilot design , and semantic communication frameworks . His recent work explores token-domain multiple access, generative AI integration in communication systems, and federated learning optimizations. He has contributed to foundational studies in sparse signal reconstruction (e.g., iterative adaptive thresholding methods) and wearable health monitoring via PPG signals. Key achievements : Best Paper Award at EWDTS 2012, multiple grants (IEEE, national/regional), and patents (e.g., US Patent 9729160). Current projects include semantic-aware power allocation in generative communications and latency optimizations in distributed deep learning frameworks. Labs/Teams : Member of the Intelligent Systems and Networks (ISN) group at Imperial, collaborating on AI-driven communication systems and edge computing solutions. His work bridges theoretical signal processing with practical implementations in 5G/6G networks, biomedical devices, and distributed machine learning ecosystems.

• Converged optical access networks
• Network planning and resilience
• Dependable virtualized networks
• +۳ مورد دیگر

Carmen Mas Machuca is an Adjunct Teaching Professor at the Chair of Communication Networks at Technical University of Munich (TUM), Germany. She holds a Dipl.-Ing. from Universitat Politècnica de Catalunya (1996), a Dr.-Ing. from École polytechnique fédérale de Lausanne (2000), and a Habilitation from TUM (2017). As an IEEE Senior member, her research focuses on converged optical access networks, network resilience, quantum communication systems, and techno-economic analysis. Affiliations: Chair of Communication Networks (Prof. Kellerer), TUM Munich Current Projects: BMBF OptiCON, DFG Software Dependability, AI-NET ANTILLAS, 6G Future Lab Bavaria Her research emphasizes dependable virtualized networks and has contributed to projects like EU 5GPPP VirtuWind, HARMONICS, and OASE. She co-chairs major conferences (ICIN 2024, ONDM 2023) and serves as guest editor for IEEE Transactions on Network and Service Management. Key research areas include quantum key distribution networks, railway communication systems, and network sovereignty metrics. She advises PhD candidates on topics like optical access planning and network reliability, and leads labs such as the FlexComNetsLab. Her work bridges theoretical network design with practical implementation, including tools like SDR-MDNet for multi-domain routing and PyRBD for reliability analysis.

Eric Rosenbergمشاهده پروفایل

استادیار

• Optimization
• Fractals
• Design and Analysis of Large Hierarchical Networks
• +۴ مورد دیگر

Eric Rosenberg is an Assistant Professor of Computing and Decision Sciences at Seton Hall University's Stillman School of Business. Previously, he held roles at Bell Labs, AT&T Labs, Rutgers University (visiting professor), and Georgian Court University. He specializes in optimization, fractals, and network design, with a focus on mathematical modeling of real-world systems. Education: B.A. in Mathematics, Oberlin College (1975) Ph.D. in Operations Research, Stanford University (1979) Research Interests: Dr. Rosenberg’s work spans optimization algorithms, fractal network analysis, and hierarchical routing systems. His recent studies explore applications in biological networks (e.g., leaf venation) and supply chain risk modeling. He has authored influential books on multicast routing and fractal dimensions in networks. Publications Trends: His articles often blend theoretical frameworks with practical network challenges, addressing topics like fractal geometry in complex systems, hierarchical network efficiency, and Bayesian risk analysis in supply chains. Awards: AT&T Labs President’s Excellence Award (2012) Distinguished Member of Technical Staff Award, AT&T Bell Labs (1987) Teaching & Intellectual Property: Teaches courses in data analytics and business statistics. Holds multiple patents on virtual network resource management and hierarchical routing optimizations.

Michael Verdicchioمشاهده پروفایل

دانشیار

• Computer Science Education
• Software Engineering
• Algorithms
• +۳ مورد دیگر

Dr. Michael Verdicchio is an Associate Professor of Computer Science at The Citadel, affiliated with the Swain Family School of Science and Mathematics. He joined the institution in 2011 and holds a PhD and BSE in Computer Science from Arizona State University. His research focuses on computer science education, software engineering, algorithms, and previously on computational biology and bioinformatics. He also serves as the Graduate Program Director for Computer Science and chairs the graduate curriculum committee. His professional affiliations include Senior Member of the Association for Computing Machinery (ACM) and Program Evaluator for ABET's Computing Accreditation Commission. Dr. Verdicchio teaches a wide range of courses, from introductory computer science to advanced graduate topics like software testing and deployment. His educational contributions include adapting curricula for emerging technologies like generative AI and creating specialized courses such as DevOps. He has also led initiatives to ensure continuity in course delivery during disruptions like hurricanes and pandemics. His research spans pedagogical innovations, including automated assessment methods and interdisciplinary undergraduate research experiences. He has published extensively on topics ranging from network routing algorithms to gene regulatory networks in cancer research. His work bridges theoretical computer science with practical applications in education and bioinformatics. Dr. Verdicchio’s service roles include leadership in accreditation processes, curriculum design, and program assessment. He collaborates with external institutions like the College of Charleston and actively participates in national conferences, contributing to the advancement of computing education standards.

Michelle Effrosمشاهده پروفایل

استاد

• Information Theory
• Data Compression
• Communications
• +۶ مورد دیگر

Michelle Effros is the George Van Osdol Professor of Electrical Engineering and Vice Provost at the California Institute of Technology. She holds B.S., M.S., and Ph.D. degrees from Stanford University (1989–1994). Her research focuses on information theory, data compression, communications, theoretical neuroscience, and network coding. She founded the Caltech Data Compression Laboratory (1994) and co-founded Code On Technologies (2009–2016). Education: B.S. (with honors), Electrical Engineering, Stanford University, 1989 M.S., Electrical Engineering, Stanford University, 1990 Ph.D., Electrical Engineering, Stanford University, 1994 Research interests include information theory , data compression , neurostability , neuronal memory , and network coding . Her work spans source coding (data compression), channel coding (reliable communication), and the mathematical underpinnings of neural systems. Her publications explore topics like network coding reliability, finite-blocklength analysis, and secure multicast. Awards include IEEE Fellow, NSF CAREER Award, and Okawa Research Grant. She has served as Editor of the IEEE Information Theory Society Newsletter and President of the IEEE Information Theory Society. Grants and advising: While no student names are listed, her leadership roles in funding bodies like the NSF Advisory Committee reflect her influence on research directions. Labs include the Data Compression Laboratory.

• Network Security
• Adaptive Control Systems
• Cloud Computing
• +۳ مورد دیگر

Kaliappa Ravindran is a Professor at the School of Engineering , Department of Computer Science, City College of New York (CCNY). His research focuses on adaptive networked systems, cybersecurity mechanisms, and cyber-physical systems. Key areas include Moving Target Defense strategies, Quality-of-Service (QoS) management in distributed systems, and control systems for automotive and embedded applications. His work spans theoretical and applied domains, combining system management principles with cutting-edge technologies like cloud service optimization and video traffic orchestration. Recent projects address challenges in networked vehicle coordination, resilient data collection, and SLA compliance in cloud environments. He has contributed to foundational studies in particle physics, including resonance structure observations and decay dynamics analysis. Ravindran’s technical leadership is evident in his publications on autonomic management frameworks, virtual sensor abstraction, and fault-resilient data collection systems. His methodologies emphasize model-based engineering and software cybernetics to enhance system dependability. Current research trends highlight interdisciplinary approaches between computer science and physical systems, particularly in smart transportation and intelligent infrastructure. Notable contributions include: Development of autonomic adaptation mechanisms for networked systems QoS-oriented protocols for multi-vehicle cruise control Model-based SLA evaluation in distributed cloud services Discovery of new particle states and decay channels in high-energy physics Innovative solutions for replicated sensing and data multicasting Awards and recognitions are not explicitly listed in the text. His full description includes extensive technical details about his 150+ publications, spanning cybersecurity, embedded systems, and particle physics innovations.

Panagiotis Papadimitratosمشاهده پروفایل

استاد

• Network Security
• Cybersecurity
• Computer Networks
• +۳ مورد دیگر

Panagiotis Papadimitratos is a Professor at KTH Royal Institute of Technology, leading the Networked Systems Security (NSS) group. His research focuses on secure networked systems, addressing security and privacy challenges in vehicular communications, mobile ad hoc networks (MANETs), and wireless systems through a blend of theoretical methods and practical implementation. Role: Professor | Division: Software and Computer Systems | Email: papadim@kth.se His work spans security architecture , formal protocol analysis , and information-theoretic security , with a systems-oriented approach emphasizing real-world evaluation. Key areas include VANETs , MANETs , and trust establishment in dynamic networks. Recent publications highlight scalable secure routing (e.g., Castor protocol), vehicular network authentication , and malicious node containment in adversarial environments. These works integrate cryptographic techniques, distributed decision-making, and robustness analysis across diverse network topologies. He teaches advanced courses on networked systems security (EP2500, EP2510, EP2520) and supervises degree projects in cybersecurity, embedded systems, and communication networks. The NSS group actively engages in research and education, offering summer schools like CySeP. The group maintains a strong systems character while incorporating theoretical rigor, with collaborations spanning institutions like École Polytechnique Fédérale de Lausanne and Cornell University. Tools like TraNS (joint traffic-network simulator) exemplify this dual focus on simulation and real-world deployment.

Jordi Domingo-Pascualمشاهده پروفایل

استاد

• 5G Network Architecture
• Software-Defined Networking (SDN)
• Locator/Identifier Separation Protocol (LISP)
• +۱۰ مورد دیگر

Jordi Domingo-Pascual is a Full Professor at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC), affiliated with the Department of Computer Architecture within the Faculty of Informatics of Barcelona (FIB). He is a member of the UPC CBA - Broadband Communications Systems and the IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Group. His research spans networking, telecommunications, and ethical aspects of technology design. Research Interests: His primary areas of expertise include 5G network architectures, software-defined networking (SDN), Locator/Identifier Separation Protocol (LISP), traffic engineering, quality of service (QoS), network monitoring, and ethics in engineering education. He investigates both technical and societal dimensions of emerging network technologies. Publication Trends: His recent scholarly output (2020–2022) emphasizes SDN controller placement optimization, open-source traffic engineering tools, and the integration of ethical considerations in engineering curricula—particularly in the context of AI and pandemic-era digital tracing applications. Earlier works focus on ATM multicasting, QoS, and broadband network characterization. Scientific Awards: Premi o reconeixement Advising and Grants: While specific advisees are not listed, his extensive research activity—including participation in European projects—suggests involvement in supervising students and securing competitive R&D funding. His work on traffic engineering, SDN, and LISP indicates leadership in national and international collaborative grants. Labs and Research Groups: He is actively involved in the UPC CBA research group focused on broadband and communication systems and the IDEAI-UPC group advancing data science and AI. These affiliations reflect a strong interdisciplinary research profile bridging networking and intelligent systems.

Vladimir Stankovicمشاهده پروفایل

مدرس ارشد

• Dependability and Security Assessment
• Software Fault Tolerance
• Database Replication Protocols
• +۴ مورد دیگر

Dr. Vladimir Stankovic is a Senior Lecturer in the Department of Computer Science at City, University of London, where he has been employed since 2003. He progressed through academic ranks from Research Assistant to his current position as Senior Lecturer (since August 2019). From August 2019 to July 2024, he served as Deputy Head of Department of Computer Science, including a transitional period as Head in autumn 2024. He has held several leadership roles including NSS and Employability Director (2019-2023) and Undergraduate Programme Director (2017-2019). His educational background includes a PhD in Software Engineering (2008) and a BEng in Computing (2003), both from City, University of London. He is a member of professional organizations including IEEE, ACM, and is a Fellow of the Higher Education Academy. Dr. Stankovic's research focuses on dependability and security assessment of computer-based systems, software fault tolerance, diverse redundancy, distributed systems algorithms, and database replication protocols. His work contributes to the department's research areas in Software and Systems Engineering. He has been particularly active in designing and evaluating diverse database replication protocols and security assessment methodologies. His recent publications (2011-2025) show a consistent focus on database replication, security assessment, and distributed systems. The research trend demonstrates increasing integration of machine learning techniques with traditional dependability approaches, particularly in security applications. His work spans theoretical modeling, empirical studies, and practical implementations with growing emphasis on real-world applications in critical infrastructure protection. Patent EP2470994 (EU) for Improvements Relating to Database Replication Protocols Patent 8793216 (USA) for Database replication Dr. Stankovic has supervised multiple PhD students including Saidu Sokoto (focused on decentralized networks), Kaleem Peeroo (focused on Data Distribution Service performance), and Konstantin Pozdniakov (focused on security penetration testing). He has served as Principal Investigator for the EPSRC-funded DIDERO-PC project and co-investigator in several EU-funded projects including AQUAS, SESAMO, and AFTER. His enterprise activities include co-founding ResilSoft Ltd (2012-2021), a university spin-off company focused on dependability solutions. He has been actively involved in the academic community as Program Committee member for conferences including CRITIS (2020-present), IEEE Cyber Security and Resilience (2025), and ISSRE (2015), and as reviewer for premier journals including IEEE Transactions on Dependable and Secure Computing and IEEE Security & Privacy.