Jussara M. Almeida is an established computer science researcher specializing in social network analysis, misinformation detection, and human mobility modeling. Her extensive publication record (1996–2025) demonstrates active research in web science, political communication on messaging platforms (WhatsApp/Telegram), and cloud systems. She frequently collaborates with Brazilian institutions and international partners on large-scale data projects. Research Focus: Her core interests include: Modeling information diffusion in encrypted messaging apps (WhatsApp/Telegram) Predicting human mobility patterns and privacy implications Analyzing political discourse and election-related coordination online Developing computational methods for misinformation detection Optimizing cloud/edge computing performance Publication Trends: Recent work (2021-2025) shows intensified focus on: Telegram's role in political mobilization and information dissemination Advanced techniques for identifying fake news websites and image-based misinformation Privacy-preserving mobility analysis and edge computing Child safety in live-streaming platforms Collaborations & Impact: Key collaborators include Marcos André Gonçalves, Fabrício Benevenuto, and Marco Mellia. Her research provides critical insights into real-world problems like election integrity, platform governance, and user privacy.
Ioannis Lambadaris is a Full Professor and Chancellor’s Professor at Carleton University's Department of Systems and Computer Engineering, Faculty of Engineering and Design. Holding a Ph.D. from the University of Maryland, he has contributed extensively to network performance analysis over 25+ years. Specializes in stochastic processes, cloud computing, and wireless edge systems Led Ericsson 5G Chair initiatives Supervised over 70 graduate students His research spans QoS control , VNF placement optimization , and IoT indoor localization , with over 170 publications. Recent work focuses on reinforcement learning and deep learning in network resource allocation. Scientific Recognition: Chancellor’s Professor Ericsson 5G Chair Contact: ioannis@sce.carleton.ca | Office: Mackenzie 4448, Ottawa, ON
Ana Maria Neves de Almeida Baptista Figueiredo is a Coordinator Professor and academic leader at the Institute of Engineering of Polytechnic of Porto (ISEP/IPP). She currently serves as President of the ISEP Scientific Council (since 2018), Sub-Director of post-graduation programmes in Big Data & Decision Making and Industry 4.0, and holds numerous leadership roles in accreditation processes including A3ES, EUR-ACE, and ABET. She is a Senior Researcher at GECAD (Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development) and member of LASI (Associated Laboratory of Intelligent Systems). Education: PhD in Industrial and Systems Engineering (2003) from University of Minho MSc in Electronic and Computer Engineering - Specialization in Industrial Informatics (1996) from University of Porto BSc in Industrial Informatics (1993) from Polytechnic Institute of Oporto - Institute of Engineering BSc in Electronic Engineering (1990) from Polytechnic Institute of Oporto - Institute of Engineering Professor Figueiredo specializes in Ambient Intelligence, Decision Support Systems, and Intelligent Systems with applications spanning multiple domains. Her research combines artificial intelligence, big data analytics, and user-centered design to develop innovative solutions. She has particular expertise in creating personalized systems that adapt to user needs and contexts, with strong emphasis on practical applications in real-world settings. Her publication record reveals consistent research activity across three main application domains: tourism technology (personalized recommendation systems, smart travel planning), Industry 4.0 (intelligent manufacturing, production scheduling), and healthcare (respiratory monitoring, medical diagnostics). The research demonstrates a clear trajectory from foundational work in scheduling algorithms to increasingly sophisticated intelligent systems incorporating machine learning, sensor networks, and emotional computing. Awards and Recognition: 2017 Award of merit for scientific publication in TELEMATICA AND INFORMATICS journal 2017 Prémio SPAIC – AstraZeneca for FRASIS respiratory monitoring project 2013 PIPED honorable mention for Android e-learning platform 2012 1st place in POLIEMPREENDE entrepreneurship competition with NearTour project 1995 Best student award in Industrial Informatics Engineering Professor Figueiredo has supervised 3 completed PhD theses with 1 ongoing, and more than thirty MSc dissertations. She has participated as Principal or Co-Principal Investigator in 6 projects and as Researcher in more than 20 projects, securing funding from FCT and other agencies. Her work has been supported by significant grants including TheRoute, GROUPLANNER, Smartravel, ATT, InVALUE, INVALUE_PT, NIS, PIANISM, Cyberfactory, SECOIIA, and produtech_R3. She leads research activities within GECAD and LASI, collaborating with international teams from Spain, Canada, USA, Czech Republic, Turkey, and Italy. Her work bridges academic research with practical applications through partnerships with business organizations, public entities, and professional associations across multiple sectors.
Nicholas Bambos is the R. Weiland Professor in the School of Engineering at Stanford University, holding a joint appointment in the Department of Electrical Engineering and the Department of Management Science & Engineering. He served as the Fortinet Founders Department Chair of the Management Science & Engineering Department from 2016 to 2020. His academic career spans over three decades, with previous positions as an assistant professor (1989-1995) and tenured associate professor (1995-1996) at UCLA before joining Stanford in 1996. Prof. Bambos's primary research interests focus on the architecture and high-performance engineering of computer systems and networks, along with data analytics emphasizing medical and health-care applications. His work spans multiple domains including networking and the Internet, cloud computing, multimedia streaming, computer security, and digital health. Methodologically, his contributions extend to network control, online task scheduling, routing and distributed processing, and machine learning and artificial intelligence. His research has resulted in over 300 peer-reviewed publications that demonstrate a strong interdisciplinary approach, bridging theoretical computer science with practical healthcare applications. The trajectory of Prof. Bambos's recent publications reveals a strategic expansion from traditional networking and systems research into healthcare analytics, particularly opioid use prediction and digital health monitoring. His work increasingly integrates machine learning techniques with domain-specific medical knowledge, showing a clear evolution toward solving complex societal challenges through technological innovation. Many publications demonstrate collaborative work across engineering, medical, and data science disciplines, reflecting the growing importance of interdisciplinary research in addressing modern healthcare challenges. His significant scientific achievements have been recognized through numerous prestigious awards: R. Weiland Professorship in Engineering (2016-present) Eugene L. Grant Teaching Award (2014) IBM Faculty Award (2002) Cisco Systems Faculty Scholar (1999-2003) National Young Investigator Award from NSF (1992-1997) Prof. Bambos has graduated over 40 doctoral students who have gone on to leadership positions in academia, Silicon Valley industries, technology startups, finance, and venture capital. His research has been supported by significant funding, including a $30 million Stanford Networking Research Center which he directed from 1999 to 2005. Beyond traditional academic roles, he has served on various editorial boards, scientific committees, and as a consultant and co-founder of technology startups, demonstrating his commitment to translating academic research into real-world impact. He leads the Computer Systems Performance Engineering Lab (Perf-Lab) at Stanford, which comprises doctoral students and industry visitors engaged in various research projects. His lab serves as an interdisciplinary hub connecting theoretical computer science with practical applications in healthcare, energy, and networking domains. The lab's collaborative environment fosters innovation across traditional academic boundaries, reflecting Prof. Bambos's broader research philosophy of addressing complex problems through integrated, multi-disciplinary approaches.
Khandakar Ahmed is an Associate Professor of Information Technology at Victoria University's College of Arts, Business, Law, Education & IT (CoABLEIT) and Discipline Leader for Emerging Trends in Science, IT & Engineering at the Institute for Sustainable Industries and Liveable Cities (ISILC). His career spans roles at Victoria University (2017–present), RMIT University (2015–2017), and Shahjalal University of Science and Technology (2007–2015). Education: PhD in Electrical and Computer Engineering (RMIT University, 2014), MSc in Networking and e-Business Centered Computing (University of Reading, 2009), BSc in Computer Science and Engineering (Shahjalal University of Science and Technology, 2007) His research expertise includes Artificial Intelligence, Cyber Security, Digital Health, Federated Learning, Quantum Computing, and the Internet of Things . He has published over 100 refereed papers with 4,200+ citations (h-index 32) and secured $3.4 million+ in funding since 2018 from partners like Australia's Economic Accelerator and Western Health. His recent work focuses on AI-driven mental health analysis , blockchain security frameworks , and edge computing optimizations . He serves as lead supervisor for 6 PhD and 1 Master of Research student and has mentored over 100 students through industry-linked projects. Dr Ahmed actively contributes to editorial roles for leading journals such as Scientific Reports , IEEE Transactions , and ACM Computing Surveys . His research aligns with UN Sustainable Development Goals 3 (Good Health), 9 (Industry Innovation), and 11 (Sustainable Cities).
Dr. Richard W Sharp is a Research Fellow at the University of Cambridge , with expertise in virtualization, computer security, and hardware synthesis. His work bridges foundational research in programming languages and practical applications in cloud computing and secure systems. BA, Computer Science (1999, Robinson College, University of Cambridge) PhD, Computer Science (2003, University of Cambridge) MBA (2012, Judge Business School) Dr. Sharp's research spans virtualization environments , operating systems , and security policy enforcement . He has pioneered techniques for network policy implementation , storage optimization , and VM migration , with a focus on heterogeneous systems and resource allocation. His publications highlight trends in functional programming applications, secure mobile computing, and hardware/software co-design. Dr. Sharp also contributes to functional programming in industrial contexts and security frameworks for web applications. Despite no formal awards listed, his work in virtualization and security synthesis remains influential.
Maria Salamo Llorente is an Associate Professor and researcher in the Department of Mathematics and Computer Science at the University of Barcelona (UB) . She leads the Teaching Innovation Group 'Innovació Docent en Matemàtiques i Informàtica' and is a core member of the Language and Computation Center (CLiC-UB) . Her career spans from postdoctoral work at University College Dublin to extensive contributions in artificial intelligence.
Jose Luis Cruz Rivera serves in the following capacities at Northern Arizona University: President : Leading university-wide strategy and administration. Professor : Holding an academic appointment in the School of Informatics, Computing, and Cyber Systems. His research spans: Parallel Processing Systems : Focused on multicomputer architectures and interconnection networks. Image Processing : Pioneering hyperspectral imaging for real-time military and civilian applications. Applied Computing : Developing cloud/mobile systems for healthcare (MedBook) and emergency response (Open911). Publication trends show evolution from foundational computer architecture (1999-2000) to societal applications (2011-2012), reflecting consistent translation of theoretical computing into real-world solutions for healthcare, public safety, and engineering education.
Cristian Morosan is a Professor at the University of Houston's College of Global Hospitality Leadership, specializing in information technology adoption and innovation within hospitality. With over 20 years of teaching experience and 30 years in the industry, he focuses on biometric systems, mobile technology, and digital transformation. Education: B.S. in Tourism and Services Management from University Stefan cel Mare (Romania), M.Sc. and Ph.D. in Foodservice and Lodging Management from Iowa State University Research Areas: His work spans technology ethics, digital marketing strategies, and operational innovation. Key projects include AI integration in hotel services, pandemic-related contactless systems, and consumer behavior analysis in digital hospitality environments. Scientific Contributions: Funded by the European Union and Hospitality Financial and Technology Professionals, he has published over 200 peer-reviewed works with 3,800+ citations. Notable awards include multiple research excellence and teaching innovation recognitions.
Ramakrishnan Durairajan is an Associate Professor in the School of Computer and Data Sciences at the University of Oregon, where he co-directs the Oregon Networking Research Group (ONRG). He holds a Ph.D. and M.S. in Computer Sciences from the University of Wisconsin-Madison and a B.Tech in Information Technology from Anna University. His research employs data-driven approaches to enhance internet robustness, focusing on: Network infrastructure measurement using AI/ML and statistical methods Mitigation of intrinsic threats (e.g., terabit-scale DDoS attacks) Resilience against extrinsic threats (e.g., climate disasters) Innovations in programmable optics and multi-cloud systems Recent publications explore satellite-based internet resilience, optical topology programming, and dynamic telemetry systems, reflecting a strong emphasis on cybersecurity and network efficiency in high-stakes environments. Notable scientific honors include: NSF CAREER Award and CRII Award Best Paper Awards at ACM CoNEXT/SIGCOMM Popular Science's 'Best of What's New in Security' Ripple Faculty Fellowship He leads federally and industry-funded research projects totaling over $5M, advises graduate/undergraduate researchers, and consults for startups on network security and cloud architecture challenges.
Mario Selvaggio is an Assistant Professor at the Department of Electrical Engineering and Information Technology, University of Naples Federico II. He actively contributes to robotics research through his involvement with PRISMA Lab and ICAROS , while co-founding spinoff companies BeyondShape and Herobots . His academic background includes a Ph.D. in Information Technology and Electrical Engineering (2020) under Prof. Bruno Siciliano, with previous degrees in Mechanical Engineering (2013, 2015). Ph.D. in Information Technology and Electrical Engineering (2020) Bachelor's and Master's in Mechanical Engineering (2013, 2015) His research interests focus on shared control/autonomy, robot teleoperation, passivity-based control, soft robotics, and robotic surgery. He has developed innovative solutions including: Shared-control teleoperation for soft growing robots Non-prehensile object transportation frameworks Advanced modeling of cable-suspended dual-arm systems Medical robotics with force-sensor equipped tools Virtual reality-based teleoperation architectures Recent publications (2021-2025) span topics from semi-autonomous aerial manipulation to cyber-physical measurement systems, with emphasis on human-robot interaction and industrial applications. He serves as Associate Editor for several IEEE conferences and journals. Scientific Awards IEEE RAS Technical Committee on Haptics grant ($2500, 2018) Second prize at Bioengineering Congress (2018) Finalist for 'Fabrizio Flacco' Best Paper Award (2020) Prof. Selvaggio teaches the Master's Course in Automation Engineering and Robotics (2024/2025) using Robot Operating System (ROS) curriculum. He actively collaborates with international research groups at IRISA/INRIA Rennes , Rainbow team , and University of California Santa Barbara (mechanical engineering department). His research combines theoretical advancements with practical implementations, demonstrated through extensive validation in simulated environments and real robotic platforms including KUKA LWR IIWA manipulators, dVRK systems, and humanoid platforms.
Mohammad Abdollahi Azgomi is a Professor of Computer Engineering at the School of Computer Engineering, Iran University of Science and Technology (IUST), where he has been serving since 2005, progressing from Assistant Professor to Associate Professor and finally to Professor in 2022. He holds multiple significant roles including Director of the Trustworthy Computing Laboratory (TwCL) since 2006, and previously served as Research Deputy of the School of Computer Engineering from 2020-2023. His academic career is complemented by extensive service on editorial boards, scientific committees, and as a PC member for numerous international conferences in security, cryptography, and computer science. Dr. Azgomi earned his Ph.D. in Computer Engineering (Software) from Sharif University of Technology in 2005 with a dissertation on 'High-Level Extensions for Stochastic Activity Networks: Theories, Tools and Applications,' supervised by Prof. Ali Movaghar. He also completed his M.S. (1996, with honors) and B.S. (1991) in Computer Engineering (Software) from the same institution, with his master's thesis focusing on 'Design and Implementation of Security Services for Computer Networks.' His research spans several interconnected domains centered around dependable and secure computing systems. Dr. Azgomi specializes in modeling and simulation techniques, particularly Petri Nets and Stochastic Activity Networks, for quantitative evaluation of system properties. His work significantly contributes to security and privacy frameworks, trust models, and dependable software design. He has pioneered approaches for evaluating cyber-physical systems security through game-theoretic models and developed frameworks for assessing software architecture quality attributes under uncertainty. Analysis of his recent publications reveals a strong research trajectory focusing on computational trust models, malware propagation dynamics in heterogeneous networks, and security evaluation of cyber-physical systems. His work demonstrates consistent application of formal methods like stochastic activity networks and Petri nets to solve complex security and dependability problems. There's a clear progression from foundational modeling techniques to sophisticated applications in cloud computing, web services security, and intrusion-tolerant systems. Best Researcher of the Year, School of Computer Engineering, IUST (2013, 2014, 2016, 2017) Best Paper Award at CSICC'12 for work on symbolic state space generation Best Paper Award at Innovations'09 for security protocol modeling Best Bachelor Thesis Supervisor (2009) Best Lecturer, IT Group, E-Learning Center (2008) Distinguished M.S. Graduate, Sharif University (1996) Dr. Azgomi has supervised an impressive number of doctoral students, with 14 Ph.D. graduates from IUST and 6 from other universities. His current teaching includes graduate courses on Dependable Software Systems and undergraduate Research Methods and Presentation. He serves on the editorial board of the CSI Journal on Computing Science and Information Technology and has been actively involved in numerous international conferences as program committee member and chair. The Trustworthy Computing Laboratory (TwCL), which Dr. Azgomi directs, focuses on rigorous engineering methodologies for evaluating dependability and security in information and communication technologies. The lab conducts research in formal methods, security modeling, dependable systems, and network security, with particular emphasis on Petri nets, stochastic activity networks, and quantitative evaluation techniques for security, privacy, and trust.
Mohammadhossein Malmir is a Researcher at the Chair of Robotics, Artificial Intelligence and Real-time Systems at Technische Universität München (TUM). He joined the chair in November 2019 and currently contributes to the A-IQ Ready project (successor of AI4DI ), focusing on learning algorithms for industrial manipulators and mobile robots in manufacturing and intralogistics tasks. Education B.Sc. in Electrical Engineering (Control Systems) from Amirkabir University of Technology (Tehran Polytechnic) (2014) M.Sc. in Automation and Control Engineering from Politecnico di Milano (2018) His research addresses Sim2Real Transfer , Reinforcement Learning , Robust Control , and Model Predictive Control for autonomous robotic systems. He has published extensively on sim2real policy transfer, domain randomization, and control algorithms for manipulation and navigation tasks. Recent publications highlight his work in dexterous grasping , continual domain adaptation , and deep reinforcement learning for trajectory optimization . His advising roles include supervising 13 master's students and interdisciplinary projects, with co-advisorship on topics like vision-based robotic grasping and socially compliant path planning . He teaches courses on Cognitive Systems and Cloud-Based/Simulation-Based Machine Learning in Robotics , emphasizing reinforcement learning and sim2real methodologies.
Vasos Vassiliou is an Associate Professor in the Department of Computer Science at the University of Cyprus and Founding Academic Member & Research Group Leader at the Smart Networked Systems (SNS) Multidisciplinary Research Group within the CYENS Research Center. His work focuses on systems and protocols for improving network performance, reliability, and security in next-generation communication systems (5G/6G), with a strong emphasis on distributed AI/ML techniques, device-to-device (D2D) networking, IoT security, programmable metasurfaces, and intelligent network resource management. Department of Computer Science, University of Cyprus CYENS Research Center, Cyprus His research spans multiple subfields including D2D communication (interference management, device discovery), IoT security (blockchain solutions, intrusion detection), network optimization (traffic prediction, power management), and programmable metasurfaces for advanced beam steering. Recent projects like ERMIS (3D Indoor Positioning), ADROIT-6G (DAI-driven architecture), and METACITIES (digital twins/metaverse) demonstrate his leadership in cutting-edge research. His publications reveal a strong focus on distributed intelligence , machine learning applications , and security protocols across wireless systems. He has supervised multiple PhD students to completion and actively contributes to IEEE/ACM as Senior Member. IEEE Senior Member ACM Senior Member Teaching responsibilities include core courses like Computer Networks and specialized postgraduate modules on IoT Networks .
Professor Krassen Stefanov Stefanov is a researcher at the Faculty of Mathematics and Informatics (FMI), Sofia University "St. Kliment Ohridski", with over 30 publications and leadership roles in 15 European Commission RTD projects. He holds a PhD in Computer Science from Sofia University and is a Cisco Certified Academy Instructor. 2003–2004: Cisco Certified Network Professional (CCNP) Instructor, Birmingham, UK 2002: Euro Innovation Manager certification, Brno University of Technology 2000–2001: Cisco Certified Academy Instructor (CCAI and CCNA) 1996–1997: MSc in Educational and Training Systems Design, University of Twente 1977–1982: MSc in Mathematics and Computer Science, Sofia University His research focuses on Technology Enhanced Learning , Semantic Knowledge Systems , Mobile Applications , and Open Development Platforms . He specializes in designing educational programs, modeling social processes, and consulting SMEs on ICT adoption. His publications from 2010–2012 emphasize digital libraries , metadata repositories , serious games , and cloud-based learning networks , with a strong emphasis on lifelong competence development and ICT standardization . Scientific Awards Best Paper Award, 5th International ePortfolio 2007 Conference He has led projects like the Share.TEC portal and weSPOT cloud platform , contributing to teacher training, SME consulting, and European RTD initiatives. His work involves designing competence assessment models and service-oriented e-learning infrastructures . Labs & Teams Professor Stefanov is affiliated with FMI Researchers and has collaborated extensively in the TENCompetence network, developing open-source infrastructures for lifelong learning. He co-created the Share.TEC portal for educational resource sharing and contributed to the I*Teach methodology for teacher training.
