جست‌وجوی استاد و پژوهشگر

Andrea Fumagalliمشاهده پروفایل

استاد

• Optical Networking
• Photonic Slot Routing
• Wavelength Routing and Protection
• +۷ مورد دیگر

Andrea Fumagalli is a Professor in the Department of Electrical Engineering at the Erik Jonsson School of Engineering and Computer Science , The University of Texas at Dallas. He earned his Ph.D. (1992) and Laurea (1987) in Electrical Engineering from Politecnico di Torino, Italy. Research Interests: All-Optical Network Architectures, Photonic Slot Routing, Wavelength Routing and Protection, Sensor Networks, Cooperative Wireless Networks, Network Optimization, Next Generation Internet (NGI), and Multi-hop Optical Networks. Education: Ph.D., Electrical Engineering, Politecnico di Torino (1992) Laurea, Electrical Engineering, Politecnico di Torino (1987) Key Research Trends: His recent publications focus on 5G networking, optical network automation, elastic optical networks, network reliability, and cross-layer optimization. He explores FPGA acceleration in 5G Low-PHY functions, live migration of containerized network components, and spectral fragmentation mitigation in EONs. Scientific Awards: Best Teaching Award, Electrical Engineering, UTD (2002) Best Thesis Award for Ph.D. Advisee Isabella Cerutti (2002) IEEE ComSoc Distinguished Lecturer Tour (2000) Best Paper Award (1999): 'An Optimal Design Algorithm for Photonic Slot Routing Networks Migrating to Optical Packet Switching' Advising and Grants: He advised Ph.D. student Isabella Cerutti. In 2001, he secured a $300,000 grant from FUNDACAO CPqD for optical network reliability research. He leads the Optical Networking Advanced Research (OpNeAR) Lab at UTD, collaborating on international projects like the Italian government-funded grid computing initiative (2002) and the OMEGA Test-bed for differentiated reliability. Laboratories and Teams: He directs the OpNeAR Lab , which develops tools for optical network emulation and reliability testing. His projects involve partnerships with institutions in Brazil (Unicamp), Sweden (KTH), Italy (Politecnico di Torino, Scuola Superiore Sant'Anna), and CNR/CNIT.

Azadeh Tabibanمشاهده پروفایل

استادیار

• Cybersecurity
• Cloud Security
• Network Security
• +۴ مورد دیگر

Azadeh Tabiban is an Assistant Professor in the Department of Computer Science at the University of Manitoba, leading the FOCUS research lab. She specializes in cybersecurity with a focus on cloud/edge security, network security, and applying machine learning to security challenges. Her work emphasizes practical solutions for real-world systems, including provenance analysis, forensics, and securing smart grids and 5G networks. Education: PhD from Concordia University (supervised by Prof. Lingyu Wang and Prof. Makan Pourzandi), followed by a postdoctoral fellowship at the University of Waterloo collaborating with Ericsson Montreal. Previously involved in the NSERC/Ericsson IRC in SDN/NFV Security Project. Research Interests: Building scalable security technologies for transparency and trustworthiness in computing systems. Key areas include provenance systems, cloud/NFV security, smart grid cybersecurity, and AI-driven security solutions. Recent projects include URGP-funded work on AI-based intrusion detection and NCC-supported 5G security collaborations with Ericsson and other universities. Awards and Grants: NSERC Discovery Grant (2024), University Research Grants Program (URGP) (2025), National Cybersecurity Consortium (NCC) Grant (2023), and Best Paper Candidate at CNS'20. Active in securing industrial partnerships and government-funded initiatives. Advising and Training: Supervises PhD and MSc students in system security and machine learning applications. Offers funded positions prioritizing underrepresented groups. Mentors undergraduate students interested in programming and practical cybersecurity solutions. Labs/Teams: Leads the FOCUS lab focused on foundational and operational cybersecurity research. Collaborates with industry partners like Ericsson and academic institutions including Waterloo and Concordia.

Suryadipta Majumdarمشاهده پروفایل

دانشیار

• Cloud Computing Security and Privacy
• Internet of Things (IoT) Security and Privacy
• Software-Defined Network (SDN) Security
• +۳ مورد دیگر

Suryadipta Majumdar is an Associate Professor at the Concordia Institute for Information Systems Engineering (CIISE), part of Concordia University. His primary research interests focus on Cloud Computing Security and Privacy, Internet of Things (IoT) Security and Privacy, and Software-Defined Network (SDN) Security. He has contributed extensively to proactive security measures in containerized systems and Kubernetes environments, alongside developing tools like ACE-WARP and PerfSPEC to address real-time threats. In terms of education, he holds a PhD in a relevant field, though specific details about his academic background (e.g., institutions, thesis topics) are not explicitly mentioned in the provided text. His work bridges theoretical cybersecurity frameworks with practical implementations, emphasizing automated translation, differential privacy, and compliance auditing across cloud and IoT ecosystems. Majumdar’s research trends highlight a focus on layered security analysis, anomaly detection in IoT networks, and mitigating vulnerabilities in network functions virtualization (NFV). He has explored topics such as resilient in-band OpenFlow networks, runtime security policy enforcement in OpenStack, and privacy-preserving network data anonymization via tools like SegGuard. His recent publications reflect collaboration with international conferences and workshops, including contributions to Digital Forensics and Applied Cryptography. No scientific awards are explicitly mentioned in the text. His advising activities and grant history remain unlisted, though he has developed notable security frameworks and tools. He is affiliated with CIISE and likely contributes to its research initiatives in emerging technologies like 5G and edge-core environments.

• Software Architecture
• Technical Debt Management
• Self-Adaptive Systems
• +۴ مورد دیگر

Prof. P. (Paris) Avgeriou is a full professor of Software Engineering at the Faculty of Science and Engineering , University of Groningen (RUG). His research focuses on software architecture , technical debt management , and self-adaptive systems through empirical studies and industrial collaborations. His work explores architectural decision-making using financial investment models, machine learning for debt detection, and dependency analysis in software systems. Recent projects include SDK4ED for energy-efficient embedded systems and DebtViz for debt visualization. Key article trends include technical debt lifecycle analysis (2023-2025), self-adaptive systems (2025), and modular architecture challenges (2024). Keywords span Computer Science , Machine Learning , and Software Systems . As an ancillary academic activity , he serves as editor for the Journal of Systems and Software (Elsevier). His collaborations extend to institutions in the Netherlands, Brazil, and Italy, with research outputs appearing in IEEE and ACM venues.

• Analysis and transformation of programs
• Software Security
• Parallel and distributed computing technologies

Harutyun Ishkhanovich Avetisyan is a Professor and Head of the Basic Department "System Programming" at the Faculty of Computer Science of the National Research University Higher School of Economics (HSE). He began his tenure at HSE in 2017 and brings 30 years of scientific and teaching experience to his role. Additionally, he serves as the Director of the Institute for System Programming of the Russian Academy of Sciences (ISP RAS), a position he has held since 2015. Avetisyan holds numerous prestigious academic distinctions, including being elected as an Academician of the Russian Academy of Sciences in 2019 and as a Corresponding Member in 2016. He earned his Doctor of Physical and Mathematical Sciences degree in 2012 and was awarded the academic title of Associate Professor in 2009. His educational background includes a specialty in "Applied Mathematics" from Yerevan State University (1993). His research focuses on three main areas: analysis and transformation of programs, software security, and parallel and distributed computing technologies. These interests are reflected in his extensive publication record and leadership in major research initiatives. His work bridges theoretical computer science with practical applications in cloud computing, secure data storage, and high-performance computing systems. Avetisyan's scholarly contributions demonstrate a consistent focus on system programming challenges, particularly in the areas of code analysis, optimization, and security. His recent publications indicate a growing interest in cloud computing paradigms, smart city infrastructure, and energy-efficient computing solutions. His research has significant implications for both academic theory and industrial applications in software development. Among his notable recognitions, Avetisyan was awarded the medal of the Order "For Merit to the Fatherland" 2nd degree in 2021 for his significant contributions to science and dedicated service. He also serves on the editorial boards of several prestigious journals including "Programming" (since 2015) and "Proceedings of the Institute for System Programming of the RAS" (since 2010). Throughout his career, Avetisyan has led and participated in numerous research grants funded by the Ministry of Education and the Russian Foundation for Basic Research. His professional trajectory shows steady progression from postgraduate studies (1997-2000) to research fellow (2000-2002), deputy director of ISP RAS (2002-2015), and ultimately director of the institute (2015-present). At HSE, Avetisyan teaches courses in parallel programming and mentor seminars for master's students in Software Engineering. His teaching philosophy emphasizes the integration of cutting-edge research with practical software development skills, preparing students for careers at the forefront of computer science.

Emil Salibمشاهده پروفایل

استاد

• DevOps Automation
• Virtualization
• Cloud Computing
• +۵ مورد دیگر

Emil Salib is a Professor in the Department of Computer Science and Information Technology Program at James Madison University (JMU), part of the College of Integrated Science & Engineering. His expertise spans networking, cybersecurity, and cloud computing. He holds a Ph.D. in Solid State Physics from the University of Wollongong and dual bachelor's degrees in Electrical Engineering and Physics from Cairo University. Education: Ph.D. in Solid State Physics, University of Wollongong, Australia M.S. in Telecommunications Networks, Cairo University B.S. in Electrical Engineering (Electronics and Communications), Cairo University B.S. in Physics, Cairo University Research Interests: Focuses on DevOps tools (Git, Ansible), cloud platforms (OpenStack), SDN/SD-WAN, wireless security algorithms, and blockchain applications. His work bridges theoretical physics and practical network engineering, emphasizing automation and infrastructure orchestration. Experience: Executive Director at Ericsson/Telcordia Technologies Director at Bellcore for network software systems Postdoctoral Researcher at University of Hull's Magneto-Optics Group Courses Taught: Includes advanced networking, cybersecurity, telecommunications, and capstone project courses. Employs industry-relevant tools like Docker, Kubernetes, and OpenStack in curriculum. Labs/Teams: Leads initiatives in JMU's Information Technology program integrating industry standards with academic rigor.

• Computer Science
• Information Security
• Mobile Networks
• +۳ مورد دیگر

Abu Shohel Ahmed is a Visiting Professor at the Department of Computer Science , Aalto University . His research focuses on information security , mobile network authentication , and cloud computing . He collaborates with Professor Tuomas Aura and has published extensively on security protocols for SIM provisioning and cellular networks. Current role: Visiting Professor Institution: Aalto University Department: Computer Science His work spans security analysis , trust modeling , and authentication frameworks in mobile and cloud environments. Publications highlight his contributions to SIM provisioning protocols , OpenStack authentication , and trust verification systems .

Hoda Malekiمشاهده پروفایل

استادیار

• Cybersecurity
• Blockchain Technology
• Digital Forensics
• +۴ مورد دیگر

Hoda Maleki is an Assistant Professor in the Department of Computer & Cyber Sciences at Augusta University's School of Computer and Cyber Sciences. She holds a Ph.D. (2019) and an M.S. in Computer and Information Sciences from the University of Connecticut. Her research focuses on cybersecurity, blockchain technology, digital forensics, and secure access control systems. She has contributed to frameworks like ForensiBlock, exploring blockchain for data provenance and auditability, and has published extensively on topics including machine learning in healthcare cybersecurity and multi-dimensional encryption techniques. Dr. Maleki serves on Augusta University committees including the Faculty Affair Committee and the MS Cybersecurity degree development workgroup. She advises the Women in Cybersecurity Club and the VIVID team. Her professional service includes roles as a grant proposal reviewer for NSF and CICI-NSF, and committee membership for conferences like CCSW'24 and IPDPS. Her recent work emphasizes integrating blockchain with AI for secure systems, such as DLACB (Deep Learning-Based Access Control using Blockchain) and ForensiBlock. Awards include the 2023 Faculty Inclusive Excellence Initiative and 2022 Faculty Recruitment and Retention honors. She teaches advanced courses on cybersecurity topics like secure pollbook systems and cryptographic protocols.

Martin Reissleinمشاهده پروفایل

استاد

• Communication Networks
• Engineering Education
• Multimedia Networking
• +۵ مورد دیگر

Dr. Martin Reisslein is a Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University (ASU), where he also serves as Program Chair of Computer Engineering. He earned his Ph.D. in Systems Engineering from the University of Pennsylvania (1998) and holds degrees from the University of Pennsylvania and Fachhochschule Dieburg, Germany. His research focuses on communication networks (e.g., 5G, optical networks, software-defined networking) and engineering education, with over 200 journal articles and 60 conference papers. He has led NSF-funded projects on network architecture optimization and K-12 engineering education. Education : Ph.D. (Systems Engineering, UPenn, 1998), M.S.E. (Electrical Engineering, UPenn, 1996), Dipl.-Ing. (FH) (Electrical Engineering, Fachhochschule Dieburg, 1994) Awards : NSF Career Award (2002), IEEE Fellow (2014), Bessel Research Award (2015), DRESDEN Fellowship (2016) Editorial Roles : Co-Editor-in-Chief of Optical Switching and Networking , Associate Editor for multiple IEEE journals His research spans communication networks (e.g., multimedia networking, optical systems) and engineering education (e.g., K-12 outreach, instructional design). Recent articles address cloud computing, 5G architectures, and cybersecurity in satellite systems. He teaches courses such as Communication Networks and oversees graduate research.

Andrew Yangمشاهده پروفایل

دانشیار

• Computer Security
• Wireless and Mobile Computing
• Networking
• +۲ مورد دیگر

Dr. Andrew Yang is an Associate Professor of Computer Science and Computer Information Systems at the University of Houston-Clear Lake's College of Science and Engineering. His research focuses on computer security, wireless and mobile computing, networking, performance measurement, and cybersecurity education. His publications demonstrate a consistent focus on cybersecurity challenges, educational frameworks, and emerging technologies. Recent work explores AI ethics, IoT security, blockchain applications, and cybersecurity workforce development, reflecting a pattern of addressing contemporary technological vulnerabilities through both technical solutions and pedagogical approaches.

• Cyber-Physical Systems
• Internet of Things (IoT)
• Edge Computing
• +۷ مورد دیگر

Issam Rais is an Associate Professor in the Department of Informatics at UiT The Arctic University of Norway, located in Tromsø. He is an active member of the Cyber Physical Systems (CPS) research group and contributes to the Distributed Arctic Observatory (DAO) project, focusing on sustainable and efficient distributed systems in extreme environments. His research centers on cyber-physical systems, Internet of Things (IoT), edge computing, and energy-efficient data dissemination. He investigates power modeling, wake-up mechanisms, and adaptation strategies for IoT and CPS nodes operating in resource-constrained Arctic conditions. His work integrates practical system design with analytical modeling and sustainability principles. His recent publications (2019–2024) reveal a strong trend in optimizing communication, energy usage, and deployment strategies for distributed systems in harsh environments. Topics include LoRa protocol adaptation, UAV-assisted networking, compression for data-intensive applications, and simulation frameworks like ESDS for Arctic tundra scenarios. His work is consistently published in IEEE venues and high-impact journals. Scientific Awards and Recognition: No specific awards mentioned in the provided text. Advising and Grants: While no formal list of students or grants is provided, his extensive collaborative research across multiple projects and publications suggests active involvement in research leadership and project-based funding. He is deeply involved in the Distributed Arctic Observatory, which likely involves external funding and team coordination. Labs and Research Teams: Dr. Rais is a key member of the Cyber Physical Systems (CPS) research group at UiT. His work is closely tied to the Distributed Arctic Observatory (DAO) project, which aims to develop sustainable IoT-to-Extreme-Edge infrastructure for environmental monitoring in the Arctic. His lab work involves real-world deployment, power monitoring, and simulation of distributed systems.

Tuan-Loc Nguyenمشاهده پروفایل

مدرس

• High Performance Computer Architecture
• Multi-cloud Computing
• 5G Networks
• +۵ مورد دیگر

Tuan-Loc Nguyen serves as a Lecturer in the Department of Electrical Engineering at San José State University while concurrently working as Sr Technical Product Manager at VMware. His academic credentials include a Ph.D. in Telecommunications from Paris-Sorbonne University (2004) and an IT Engineering degree from Polytechnic University, Vietnam (1999). Ph.D. in Telecommunications, Paris-Sorbonne University, France (2004) IT Engineering, Polytechnic University, Vietnam (1999) His research centers on High Performance Computer Architecture across multi-cloud platforms (AWS, Azure, GCP, IBM, KVM, VMware ESXi, OpenStack) and 5G Network Slicing applications (vEPC, IoT/connected vehicles, Mobile Edge Cloud). He actively develops open-source networking solutions through OpenFlow, OpenDaylight, SDN/OPNFV/M-CORD, and Networking Orchestration projects, with specialized expertise in DPDK and SRIOV technologies through the Intel Innovator program. Current collaborations with VMware's CTO office focus on 5G Telco solutions for Service Assurance, Network Automation, and containerization initiatives. Professional recognition includes: Intel Innovator Program Member for Network High Performance While no formal advising relationships or grant details are documented in the source material, his industry-academia bridge through VMware and open-source contributions demonstrates significant professional impact. His work environment spans SJSU's Engineering Building (Room 347A) and VMware's virtualization ecosystem without dedicated lab/team specifications in the provided text.

Andrea Dettiمشاهده پروفایل

استاد

• Computer Networks
• Information-Centric Networking (ICN)
• Cloud Computing
• +۳ مورد دیگر

Andrea Detti is a Professor at the Department of Electronic Engineering, University of Rome Tor Vergata. His research focuses on computer networks, particularly Information-Centric Networking (ICN), Cloud Computing, and Software Defined Networks (SDN). He has coordinated major EU projects like Fed4IoT and BONVOYAGE, addressing IoT and Intelligent Transport Systems. He serves as Associate Editor for IEEE Transaction on Network and Service Management and has guest-edited special issues on ICN. His teaching includes courses on Internet Technologies, Mobile Wireless Networks, and Cloud Computing, emphasizing hands-on labs with Linux, Cisco routers, and OpenStack. Key projects include leadership roles in EU initiatives such as ICN2020, GreenICN (energy-efficient ICN), and OFELIA (ICN over SDN). He coordinates industrial projects with Telecom Italia and SSI/Finmeccanica on publish-subscribe paradigms in MANET and DTN. His research spans ICN scalability, adaptive video streaming, and satellite communication optimizations. Publications (80+) cover ICN architecture, SDN integration, and network performance modeling. He actively participates in conferences and standardization efforts, contributing to the evolution of future Internet architectures.

Nils Gruschkaمشاهده پروفایل

استاد

• Information Security
• Privacy
• Data Protection
• +۵ مورد دیگر

Nils Gruschka is a Professor at the Department of Informatics , University of Oslo, specializing in Information Security and Privacy . He contributes to the Digital Security (SEC) group and the Partnership for Cybersecurity (P4C). His work bridges technical security implementations with regulatory compliance, particularly under GDPR.

Hani Ragab Hassenمشاهده پروفایل

دانشیار

• Cybersecurity
• Deep Learning Applications
• Natural Language Processing (NLP) in Cybersecurity
• +۷ مورد دیگر

Hani Ragab Hassen is an Associate Professor leading the Cybersecurity with AI Research Group at the School of Mathematical & Computer Sciences, Heriot-Watt University. He specializes in cybersecurity, particularly in applying machine learning and NLP to address challenges such as malware analysis, intrusion detection, and access control systems. His roles include Associate Director of PGR Studies, Academic Integrity Officer, and former leadership in Learning & Teaching and Research programs. Research interests focus on cybersecurity fundamentals, including deep learning for malware detection, NLP-driven vulnerability assessment, and P2P systems. He has supervised numerous PhD students, currently advising three candidates on airport cybersecurity, NLP-based vulnerability detection, and network intrusion systems. His work contributes to UN Sustainable Development Goals related to innovation and infrastructure security. Publications span malware detection frameworks (e.g., ActDroid, Droiddissector), network security tools (NTFA), and machine learning optimization (D2TS). He has developed datasets like SI22 for DDoS analysis and contributed to open-source tools. His research emphasizes practical applications of AI in securing networks and cloud environments. Notable contributions include advancing Android malware detection via control flow graphs and text analysis, and pioneering cloud security protocols like Stick for social platforms. His interdisciplinary work bridges cybersecurity with machine learning and data science, addressing real-world threats through innovative solutions.