جست‌وجوی استاد و پژوهشگر

• Information Processing Systems
• Internet of Things (IoT)
• Edge Computing
• +۴ مورد دیگر

Marcello Pietri is a Researcher (td art. 24 c. 3 lett. A) and Contract Professor at the Department of Engineering Sciences and Methods (DISMI) at the University of Modena and Reggio Emilia. His work focuses on Information Processing Systems, with expertise in IoT, Edge Computing, and Digital Twins. He teaches courses like 'Sistemi Informativi' (Information Systems) for the Engineering Management program, emphasizing database design, SQL, and web application development with Python. His research explores advanced topics including Digital Twin integration in Industry 5.0, Fluid Computing in IoT ecosystems, and Smart City data fusion using 5G MEC architectures. He collaborates with institutions like the DIPI Lab (Distributed and Pervasive Intelligence Group), contributing to projects on telecom security, energy forecasting, and human-centric manufacturing systems. Recent publications highlight innovations in operator digital twins for workplace well-being, distributed data mesh models for IoT-edge-cloud systems, and adaptive monitoring algorithms for large-scale cloud environments. His work bridges theoretical advancements with practical implementations, addressing challenges in scalability, real-time data processing, and interdisciplinary collaboration.

Binoy Ravindranمشاهده پروفایل

استاد

• Computer Systems
• Software Verification
• Concurrency
• +۷ مورد دیگر

Binoy Ravindran is a Professor at Virginia Tech’s College of Engineering, Department of Electrical and Computer Engineering, leading the Systems Software Research Group (SSRG). His research focuses on computer systems, emphasizing security, performance, concurrency, distributed systems, and real-time computing, with recent work in software verification and heterogeneous-ISA platforms. Key projects: Low-level Reasoning Machine (LLRM), Popcorn Linux, LibrettOS, Hyflow, HermiTux, SlimGuard, HydraVM, KairosVM. He has co-authored 15+ papers from 2025 to 2022, spanning venues like ASPLOS, POPL, PLDI, VEE, PPoPP, and MIDDLEWARE, with awards including ACM Distinguished Scientist and eight Best Paper Awards. Service roles: Editorial Boards (IEEE Transactions on Cloud Computing, ACM TECS), Program Co-Chair (ACM Systor 2025), Committee memberships across ASPLOS, PLDI, and more.

• Cybersecurity
• Information Security
• Privacy
• +۷ مورد دیگر

Nuno Ricardo Mateus Coelho is an Associate Professor at Universidade Lusófona and a Guest Adjunct Professor of Cybersecurity at Instituto Politécnico do Cavado e Ave. He serves as a Cyber Security Adviser for FORVIA and Nanium Grupo Amkor, CEO of NRMC.PT, Judicial Expert for the Ministry of Justice, and CISO & DPO for several national organizations. He holds a PhD in Informatics (Cybersecurity) from the University of Trás-os-Montes e Alto Douro and is a Senior Engineer accredited by the Ordem dos Engenheiros and the European Commission. His research focuses on cybersecurity, privacy, secure operating systems, blockchain, AI in security, and digital forensics . He leads the LAPI2S - Laboratory of Privacy and Information Systems Security and is the Editor-in-Chief of the ARIS2-Journal . He is the General Chair of the iSCSi International Conference and has authored numerous scientific publications, books, and book chapters. The recent publications highlight a strong trend in secure system design, threat resilience, AI applications, and privacy-preserving technologies . His work spans from paranoid operating systems and blockchain applications to social engineering defense and AI-driven risk assessment, reflecting a multidisciplinary and applied approach to cybersecurity challenges. Inncyber Innovation Award - Best European Research in Cybersecurity (2021) Inncyber Innovation Award - 2nd Place (2023) Editor-in-Chief of ARIS2-Journal General Chair of iSCSi International Conference Specialist Accredited by the European Commission in Information and Cybersecurity Projects Senior Engineer and Specialist at the Ordem dos Engenheiros Nuno Mateus-Coelho advises on national cybersecurity strategy and has been instrumental in innovation through projects like Vent2Life , which repaired hospital ventilators during the pandemic, saving hundreds of lives. He has received research recognition and industry grants through his cybersecurity advisory roles and academic leadership. His work bridges academia, government, and industry, with strong emphasis on practical impact. He leads the LAPI2S Laboratory and organizes the iSCSi Conference , fostering collaboration between researchers, industry experts, and policymakers in cybersecurity and information systems. His teams focus on developing secure, privacy-aware technologies for real-world deployment in healthcare, education, and critical infrastructure.

Pouyan Ahmadiمشاهده پروفایل

دانشیار

• Wireless Networks
• Machine Learning
• IoT Security
• +۵ مورد دیگر

Pouyan Ahmadi is an Associate Professor in the Department of Information Sciences and Technology at George Mason University. His research focuses on wireless networks, IoT security, machine learning, and education technology. He holds a PhD in Electrical and Computer Engineering (George Mason University), MS in Architecture of Computer Systems (Iran University of Science and Technology), and BS in Computer Engineering (Azad University). Research interests include cooperative communications, cross-layer network design, relay deployment strategies, and applying machine learning to network security and educational analytics. Notable areas of expertise involve IoT intrusion detection, supply chain RFID implementations, and analyzing student performance through LMS data. His publications span cybersecurity, machine learning applications in education, and wireless network optimization. Recent work emphasizes predictive modeling for student outcomes and improving intrusion detection systems using advanced algorithms. He has contributed to both theoretical frameworks and practical implementations in MANETs and emergency response networks. Labs/Teams: No specific lab/team affiliations explicitly mentioned in the provided information.

Marco Aldinucciمشاهده پروفایل

استاد

• Parallel Computing
• High-Performance Computing (HPC)
• Cloud Engineering
• +۷ مورد دیگر

Marco Aldinucci is a Full Professor and Head of the Parallel Computing group at the University of Torino's Computer Science Department. He leads the HPC Key Technologies and Tools (HPC-KTT) national lab under CINI, involving 38 Italian universities. His expertise spans parallel programming models, HPC systems, federated learning, and energy-efficient computing. Aldinucci has secured over €10M in EU research funding, contributed to frameworks like Fastflow and Streamflow, and pioneered initiatives like the HPC4AI lab and the CINI HPC-KTT lab. His research focuses on advancing exascale computing, cloud-HPC integration, and AI-driven medical solutions. Notable projects include the Gaia AVU-GSR solver for exascale systems and the DeepHealth Toolkit for medical AI. He has held governance roles in EuroHPC and chairs the Observatory on Trends and Applications of Supercomputing in Italy. Aldinucci’s publications (150+) address parallel algorithms, distributed learning, and sustainable HPC infrastructure. His work has been recognized with awards from HPC Advisory Council, NVIDIA, IBM, and Autodesk. Current initiatives include the Software & Integration lab at the Italian National HPC Centre (ICSC) and leadership in the OpenScience working group at Torino. His advising includes Iacopo Colonelli, whose thesis won CINI’s 2023 best award. He actively engages in EU projects, workflow systems, and standards for hybrid computing environments. Aldinucci’s labs and collaborations drive innovations in HPC portability, energy efficiency, and AI scalability.

Tuğçe Bilenمشاهده پروفایل

استادیار

• Artificial Intelligence
• Computer and Communication Networks
• Digital Twin
• +۴ مورد دیگر

Tuğçe Bilen is an Assistant Professor at Istanbul Technical University's Department of Artificial Intelligence and Data Engineering, within the School of Computer and Informatics. Her research focuses on Artificial Intelligence and Computer and Communication Networks, particularly Digital Twin technologies, 6G wireless systems, and smart IoT applications. PhD in Computer Engineering (2017-2022), Istanbul Technical University Master's in Computer Engineering (2016-2017), Istanbul Technical University Licence in Computer Engineering (2010-2015), Istanbul Technical University Her research explores Digital Twin middleware for smart farms, energy-aware task scheduling in 6G edge networks, aeronautical ad-hoc network optimization, and cloud-based protocol enhancements. Recent work addresses metaverse-driven supply chain optimization and secure routing for aircraft networks. Key publication trends show strong focus on: Digital Twin integration across domains 6G wireless network architectures Adaptive routing algorithms Energy-efficient IoT systems Security in airborne communication Machine Learning for network management Scientific recognition includes: Serhat Özyar Young Scientist of the Year Honorary Award (2023) Doctoral Thesis Award from Istanbul Technical University (2023) TÜBA Doctoral Science Awards-Teknofest (2023) She serves as Principal Investigator for the Unsupervised Learning-Based Management of Ad Hoc Airborne Network Topology project (2024-2026) and holds a patent for Parametric Parsing Based Routing System in Content Delivery Networks (2021). As IEEE member since 2015, she contributes to telecommunications standards.

Eunsuk Kangمشاهده پروفایل

استادیار

• Software Engineering
• Formal Methods
• Software Security
• +۴ مورد دیگر

Eunsuk Kang is an Assistant Professor at Carnegie Mellon University's Software and Societal Systems Department within the School of Computer Science. His research focuses on enhancing software system safety, security, and reliability through formal methods and rigorous modeling. Ph.D. in Computer Science, MIT Software Engineering, University of Waterloo Research spans cyber-physical systems , software security , formal verification , and ML resilience . Key areas include robust system design against evolving environments, specification engineering, and scalable automated reasoning. Recent publications highlight advancements in CPS safety , formal verification , and ML-based error mitigation . Collaborative projects span conferences like ICSE , CAV , and FMCAD . Scientific Awards CyLab 2025 Seed Funding CyLab 2023 Seed Funding Carnegie Bosch Institute Grant Advises doctoral students in software engineering and formal methods, with affiliations to the Software Design and Analysis (SoDA) Group and CyLab Security and Privacy Institute.

Roman Franz Froschauerمشاهده پروفایل

استاد

• Software Engineering for Intelligent Automation Systems
• Human-Robot Interaction
• Control Systems
• +۷ مورد دیگر

Roman Franz Froschauer is a Professor of Production Informatics at the Upper Austria University of Applied Sciences, Research Center Wels. Since 2018, he has served as Director of Studies for the Master's program in Robotic Systems Engineering and leads the Smart Automation & Robotics research group. His career spans academic and industrial roles, including senior software development and project management at AlpinaTec Technical Products GmbH (2010-2016). Education: Ph.D. in Computer Science (2010) from Johannes Kepler University Linz; Master's in Industrial Informatics (2005) from Upper Austria University of Applied Sciences. Research Areas: Software engineering for intelligent automation systems, human-robot interaction (HRI), control systems, and applications of IEC 61499 standards. His work focuses on proactive collaboration, trajectory planning, and user-centered design for assistive robots in office and industrial settings. Scientific Activities: Active in peer-review, conference organization, and technology development. Projects include VRoboCoop (human-robot trust), MARIE (office robotics), and Autility (automated utility vehicles). Key Contributions: Frameworks for modular manufacturing (PlugBot), skill-based engineering, and intralogistics automation (ATLAS).

• Explainable Artificial Intelligence Applications in Cyber Security
• Information Security
• Self-Protecting System
• +۲ مورد دیگر

Dr. Sharmin Jahan serves as a tenure-tracked Assistant Professor in the Department of Computer Science at Oklahoma State University since August 2022. Her research centers on dynamic security assurance for autonomous systems (self-adaptive systems) through explainable AI models that interpret uncertain operational environments to enable autonomous security decision-making and compliance maintenance. Her educational background includes a Ph.D. and Master's in Computer Science from the University of Tulsa (2018-2021), and a B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (2007-2012). She teaches Introduction to Computer Security (CS 4243/5243) and leads Dr. Jahan's Lab focused on security for autonomous systems. Research interests span Explainable AI in Cyber Security, IoT Security, Self-Protecting Systems, and Micro-service Security. Her work develops frameworks that embed security awareness in dynamic systems, using XAI to interpret environmental uncertainty and maintain security compliance through autonomous adaptation. Current projects explore machine learning models for security analysis and XAI challenges in domain-specific security applications. Recent publications (2025-2020) demonstrate concentrated research on security assurance in self-adaptive systems, particularly for IoT and microservice architectures. Key trends include XAI-driven anomaly detection, security profile extraction from operational data, and risk-adaptive access control. Subfield specializations cover service mesh security, blockchain-based access frameworks, runtime trust evaluation, and autonomous threat containment. Scientific awards include: Principal Investigator for 2023 Arts and Sciences Summer Research Award on XAI-enhanced security awareness in autonomous systems Senior personnel on 2022 NSF RET Grant for Big Data and Machine Learning research experiences She advises M.Sc. student Masrufa Bayesh and teaches graduate/undergraduate security courses. Her lab actively investigates frameworks for security assurance in dynamic environments, with emphasis on IoT and microservice architectures requiring continuous adaptation to environmental changes while maintaining security compliance. Dr. Jahan's research team develops analysis and assessment models to determine security compliance degradation risks and optimal adaptation strategies, enhancing system resiliency through separate analytical frameworks integrated with her PhD-developed assessment methodology.

Karl-Heinz Frank Reichertمشاهده پروفایل

استاد

• Mobile Communication Systems
• E-Learning and Education Technology
• Telehealth and IoT Applications
• +۴ مورد دیگر

Frank Reichert is a Professor of Mobile Systems at the University of Agder (UiA), affiliated with the Department of Information and Communication Technology under the Faculty of Engineering & Science. He served as UiA's Rector (2016-2019) and Dean of Engineering & Science (2007-2015). With over 30 years in fixed/wireless communication systems, he has led national initiatives like the SFI Offshore Mechatronics Center (200 MNOK budget) and established UiA's Mechatronics Innovation Lab. His industry experience includes roles at Ericsson (1995-2005) and founding Ericsson Cyberlab Singapore (1999). Education : PhD in Electrical Engineering from RWTH Aachen University (Germany). Early career included research at the Royal Institute of Technology (Sweden) and Televerket Radio (Sweden). Research Interests : Focus on mobile communication, e-learning innovation, IoT-driven telehealth, and lifelong learning. His work bridges academia and industry, emphasizing user-centric design, rapid prototyping, and future education technologies. Projects include multi-touch collaborative learning systems, AI-assisted educational tools, and digital health twin architectures. Grants & Leadership : Managed EU projects (e.g., FP4-ACTS OnTheMove, PRO-COM) and served on steering boards for Norwegian and EU research bodies. Current roles include advisor to UiA's strategic initiatives and contributor to national bullying/harassment prevention (UHRMOT). Labs & Teams : Co-founded the Mechatronics Innovation Lab, leading projects in VR rehabilitation solutions and smart healthcare systems. Active in research groups like Multimedia and e-Learning, and ReSex (Research in Sexology).

António Nestor Ribeiroمشاهده پروفایل

استادیار

• Software Engineering
• Object-Oriented Modeling
• Program Analysis
• +۴ مورد دیگر

António Nestor Ribeiro is an Assistant Professor at the Department of Informatics, University of Minho, Portugal, and holds the role of Senior Researcher at the High-Assurance Software Centre (INESC TEC) since 2011. He earned both his MSc (1998) and PhD (2008) in Computer Science from the University of Minho. His research focuses on object-oriented modeling, program analysis, and requirements engineering for large-scale systems. He is affiliated with the High Assurance Software Laboratory Research Group and the Large Scale Distributed Systems Group. His work emphasizes software architecture reengineering, middleware development, and low-code platforms. He teaches model-driven engineering and has supervised numerous theses on microservices, distributed systems, and API platforms. Key research contributions include studies on HCI integration in software education, performance evaluation of microservices, cognitive models for usability in low-code platforms, and entrepreneurship education for informatics students. He has published in venues like HUMAN FACTORS and the EUROPEAN JOURNAL OF ENGINEERING EDUCATION. Education: PhD in Computer Science (University of Minho, 2008) Research Groups: High Assurance Software Lab, Large Scale Distributed Systems Group Teaching: Model-Driven Engineering courses His recent supervised theses address topics like microservices architecture principles, middleware integration, and API democratization platforms. He actively collaborates on industry projects, including Bosch process-support applications and telemonitoring systems for chronic diseases.

• Computer Systems Security
• Cybersecurity
• Software Engineering
• +۳ مورد دیگر

Venkat Venkatakrishnan is a Professor of Computer Science and Director of Research at the Discovery Partners Institute at the University of Illinois at Chicago. As Associate Dean for Research and Graduate Studies in the College of Engineering, he leads initiatives in cybersecurity research and education. His research focuses on Computer Systems Security , utilizing techniques from Compilers Operating Systems Formal Methods to defend against cyber attacks. He has developed innovative approaches to secure desktop systems, detect web vulnerabilities, and reconstruct attack scenarios. Recent publications highlight his work in areas including: Advanced Persistent Threat detection Web application security Automated exploit generation Security sanitization tools SQL injection prevention Content security policies Scientific achievements include Distinguished Paper Award at USENIX Security Symposium (2018) Best Paper Awards at IEEE QRS (2016), Oakland (2009), and ACSAC (2003) Finalist for AT&T Best Applied Security Research Paper (2010) He has mentored numerous students and postdoctoral researchers, many of whom have become faculty members at prestigious institutions or joined leading technology companies. His work bridges academic research with practical applications for businesses and websites seeking to patch security vulnerabilities.

Keyang Yuمشاهده پروفایل

استادیار

• Cyber-Physical Systems
• Edge Computing
• Tiny Machine Learning
• +۴ مورد دیگر

Dr. Keyang Yu is an Assistant Professor in the Department of Computer Science at Marquette University, affiliated with the College of Engineering. His research focuses on designing data-driven computer systems to enhance cybersecurity and user privacy in Cyber-Physical Systems (CPS) and the Internet of Things (IoT). He teaches COSC 6280: Advanced Computer Security. Research interests include Cyber Physical Systems, Edge Computing, Tiny Machine Learning, and Security & Privacy. He emphasizes privacy-aware automation in CPS at various scales. Recent work explores challenges in IoT privacy preservation despite traffic reshaping and vulnerabilities in smart home router operating systems. Publications highlight innovations such as PACAS (privacy-aware smart cameras), TrafficSpy (disaggregating encrypted IoT traffic), and SmartAttack (open-source security research tools). His work spans both theoretical frameworks and practical implementations in smart home security and renewable energy diagnostics. No scientific awards are explicitly listed, but ongoing contributions to IoT privacy and CPS security reflect impactful research. Advising and grant details are not provided in available texts. His work connects to labs focused on embedded systems security and privacy-preserving technologies.

Christopher A. Chungمشاهده پروفایل

دانشیار

• Emergency Management
• Industrial Engineering
• Logistics and Supply Chain
• +۵ مورد دیگر

Dr. Christopher A. Chung is an Associate Professor in the Department of Industrial and Systems Engineering at the University of Houston's Cullen College of Engineering. His research focuses on emergency management systems, engineering ethics education, logistics optimization, and bomb threat response technologies. He has developed several training simulators including the Bomb Threat Training Simulator funded by the National Institute of Justice. Education: Ph.D. Industrial Engineering, University of Pittsburgh (1995) M.S. Industrial Engineering, University of Pittsburgh (1992) B.E.S. Materials Science and Engineering, Johns Hopkins University (1983) Research Interests: Dr. Chung specializes in simulation-based training tools for bomb threat response, emergency distribution networks under disaster conditions, RFID applications in logistics, and ethics education in engineering curricula. His work integrates technical systems with human factors, emphasizing practical solutions for crisis management and security challenges. Grants & Projects: National Institute of Justice-funded bomb threat simulator project (1998–2000) Hurricane emergency POD analysis funded by various agencies RFID implementation studies for military logistics Collaborations: Works closely with the Houston Police Department Bomb Disposal Unit and military organizations to develop practical training systems. His lab focuses on integrating emerging technologies like GIS and simulation into real-world crisis scenarios.

• Software System Quality
• Software Architecture Design and Evaluation
• Software Visualization and Reverse Engineering
• +۸ مورد دیگر

Wilhelm Hasselbring is Professor of Software Engineering at the School of Electronics and Computer Science, University of Southampton. His research focuses on software system quality, architecture design, and distributed systems with emphasis on fault-tolerance and monitoring. Software System Quality Architecture Design and Evaluation Microservices and DevOps Digital Twins and Prototyping Open Science Practices Current research explores digital twin prototypes for smart farming applications, metamorphic testing methodologies, and scalable microservice architectures. His work bridges theoretical frameworks with industrial applications in middleware and cloud systems. Recent awards include the Ernst Denert Award for Software Engineering (2019-2020). Publications span topics from JavaBERT language models to MQTT bridge evaluations, emphasizing software visualization and reverse engineering techniques. Contact: W.Hasselbring@soton.ac.uk