Dr. Satrya Fajri Pratama is a Senior Lecturer in Computer Science at the University of Hertfordshire , affiliated with the School of Physics, Engineering & Computer Science and the Department of Computer Science . With professional certifications from Oracle, Microsoft, Google, AWS, Cisco, and other industry leaders, he combines academic expertise with practical industry recognition. His research focuses on software development, internet of things (IoT), cloud computing, and computational approaches to drug classification. Doctor of Philosophy (ICT) – Universiti Teknikal Malaysia Melaka Master of Science in ICT – Universiti Teknikal Malaysia Melaka Bachelor of Computer Science (Software Development) – Universiti Teknikal Malaysia Melaka His research involves descriptor selection for drug classification using advanced algorithms like the Whale Optimization Algorithm and Particle Swarm Optimization , particularly in combating Amphetamine-Type Stimulants (ATS) . Collaborative work includes ncRNA identification and QSAR modeling for biodegradation studies. Key scientific awards include certification as a Professional Technologist with the Malaysia Board of Technologists (MBOT) and recognition as an Apple Teacher with Swift Playgrounds Recognition . He holds numerous industry certifications and is a certified educator/trainer for Microsoft, Google, AWS, Oracle, and other major tech companies.
Mojtaba Moazen is a PhD student and researcher at the Division of Theoretical Computer Science , part of KTH Royal Institute of Technology in Sweden. He is actively involved in the WASP – Wallenberg AI, Autonomous Systems and Software Program and the NEST CyberSecIT project, focusing on securing IoT applications and software supply chains. His work bridges academic research with critical real-world cybersecurity challenges. Education: PhD (ongoing) in Theoretical Computer Science, KTH Royal Institute of Technology Master of Science in Information Technology, Sharif University of Technology Bachelor of Science in Computer Engineering, K. N. Toosi University of Technology Research Interests: Mojtaba specializes in software security , IoT security , and software supply chains , with a focus on developing robust security mechanisms for emerging technologies. His recent publications highlight advancements in Android malware detection and continuous integration testing. Courses Assisted: Applied Cryptography (DD2520) Computer Security (DD2395) Internet Programming (DD1386) Language-Based Security (DD2525) Programming Techniques (DD1310)
Amirhosein Taherkordi is a Professor in the Networks and Distributed Systems group at the Department of Informatics, University of Oslo, Norway. His research focuses on resource-efficiency, scalability, adaptability, dependability, mobility and data-intensiveness of distributed systems for emerging computing technologies including Internet of Things (IoT), Fog/Edge/Cloud Computing, and Cyber-Physical Systems (CPS). Dr. Taherkordi received his Ph.D. from the Informatics Department at the University of Oslo under the supervision of Prof. Frank Eliassen, with his thesis titled "Programming Wireless Sensor Networks: From Static to Adaptive Models." He holds an M.Sc. in Information Technology Engineering (Software Engineering) from University of Science and Technology and a B.Sc. in Computer Engineering from Sharif University of Technology. His research spans multiple domains of distributed systems with emphasis on practical applications. He investigates energy efficiency in wireless sensor networks, communication optimization in IoT systems, and adaptive resource allocation in edge computing environments. His work addresses critical challenges in network traffic classification, federated learning for vehicular networks, and data processing across heterogeneous platforms. Analysis of his recent publications reveals a strong trajectory toward communication-efficient federated learning techniques for vehicular networks, energy-aware protocols for IoT data collection, and advanced machine learning approaches for network traffic analysis. His research consistently focuses on optimizing resource usage while maintaining system performance and privacy in distributed architectures. Dr. Taherkordi actively contributes to several research initiatives including the CPS Lab at UiO for Cyber Physical Systems, DILUTE: Fluid Service Abstraction for Large-Scale Cloud IoT Systems, and the Gemini Centre on IoT at UiO. His work bridges theoretical advances with practical implementations in transportation systems, environmental monitoring, and industrial automation.
Dr Saif Dewan is a Senior Lecturer at the School of Law & Business , University of Notre Dame Australia. He holds a PhD in Business IT from the Australian National University and has taught Quantitative Methods for Business and Business Information Technology courses. Dr Dewan maintains honorary research affiliations with the University of New South Wales and the University of Twente, Netherlands. PhD in Business IT from Australian National University His research spans IT artefact design , business analytics , digital innovation , cybersecurity management , and AI . His work focuses on integrating technology with organizational effectiveness and consumer behavior. While the recent publications highlight his expertise in analytics knowledge management , neuro-IS studies , and mobile banking research , his broader contributions include conceptual frameworks for digital entrepreneurship, context-aware business processes, and information transparency in e-commerce. Dr Dewan actively collaborates with international institutions and has consulted for the United Nations, Samsung, and governments on IT and business analytics. He has supervised numerous PhD and Honours students and served on boards of technology startups, NGOs, and private schools globally.
Corinne Dejous is a Professor at the University of Bordeaux, affiliated with IMS Bordeaux (Institut des Matériaux et Systèmes Microélectroniques de Bordeaux) within the College of Engineering. She leads research in the WAVES group, specifically in the DEVICES, MATERIALS, ZEROPOWER team, focusing on advanced sensor technologies. Her work bridges microelectronics, nanotechnology, and environmental monitoring applications. Her primary research interests include acoustic wave sensors, particularly Love wave devices, microwave sensors, biosensors, microfluidics, and energy harvesting for wireless sensor networks. Dr. Dejous has pioneered developments in multiparameter sensing for complex liquids, heavy metal detection, humidity monitoring, and flexible sensor platforms. Her research demonstrates a strong emphasis on practical applications for environmental monitoring, healthcare, and Internet of Things (IoT) technologies. Analysis of her recent publications reveals a consistent focus on advancing sensor sensitivity and reliability through novel materials (including nanomaterials and polymers), innovative modeling approaches (FEM and equivalent circuit models), and hybrid sensing platforms that combine acoustic, optical, and electrical measurement techniques. Her work increasingly addresses sustainability concerns, with research on green laboratory practices and reduced environmental impact of sensor technologies. Dr. Dejous maintains active collaborations with researchers across multiple institutions and has contributed significantly to both fundamental sensor science and practical implementations. Her work spans from theoretical modeling to device fabrication and real-world testing, including field deployments such as in the Amazon River for water quality monitoring.
Dong Kyoo Shin is a Professor at Sejong University's Department of Computer Science and Engineering, where he has been employed since 1998. He holds a Ph.D. from Texas A&M University (1997), an M.S. from Illinois Institute of Technology (1992), and a B.S. from Seoul National University (1986). His professional background includes roles as a Researcher at the Korea Institute of Defense Analyses (1986-1991) and Senior Researcher at Hyundai Electronics (1997-1998). Shin leads research in cybersecurity, machine learning, and ubiquitous systems , with specialized interests in intrusion detection, data mining, cyber warfare frameworks, and adversarial ML defense. His recent publications focus on AI-driven security solutions, ransomware analysis, and resilience quantification in critical infrastructure. He directs the Cyber Warfare Research Institute (established 2017) and the Multimedia & Internet Lab , focusing on defense technologies and smart systems. His team has executed projects for the Ministry of National Defense, ADD, and ETRI, including cyber threat response systems and military security frameworks. Service includes advisory roles for the Ministry of National Defense, Defense Acquisition Program Administration, and editorial duties for defense journals. He holds patents in malware detection, data encryption, and sensor-based interfaces.
Paulo Jorge Freitas de Oliveira Novais is a Full Professor of Computer Science at the Department of Informatics, School of Engineering, Universidade do Minho, where he also holds a Habilitation in Computer Science. He leads the Synthetic Intelligence Lab at ALGORITMI Centre and coordinates the research line on Ambient Intelligence for Well-Being and Health Applications. His research spans Intelligent Systems, Machine Learning, Multi-Agent Systems, and their applications in Smart Cities, Health Informatics, and AI Ethics. PhD in Computer Science, Universidade do Minho, 2003 Habilitation in Computer Science, Universidade do Minho, 2011 Research interests include Ambient Intelligence, Ambient Assisted Living, Intelligent Environments, AI and Law, Conflict Resolution, and Explainable AI. His work focuses on enhancing system intelligence and reliability through novel architectures and ethical frameworks. Recent publications highlight applications in wastewater energy prediction, violence detection, student risk modeling, and urban logistics. Awards include multiple Best Paper and IBM Excellence recognitions across 2015–2023, plus a 2022 Career Recognition Award from the Ibero-American Society of Artificial Intelligence. Senior IEEE Member Chair of IEEE Computational Intelligence Chapter, Portugal IFIP TC 12 Artificial Intelligence Working Group Leadership He has supervised 132 PhD and Master’s students and contributed to editorial boards of journals like JAISE and ComSIS . His leadership roles include coordinating LASI – Intelligent Systems Associate Laboratory and serving as former president of APPIA.
Witold Pedrycz serves as Professor and Canada Research Chair in Computational Intelligence within the Department of Electrical and Computer Engineering at the University of Alberta, Canada, and maintains affiliation with the Systems Research Institute of the Polish Academy of Sciences in Warsaw, Poland. His research expertise spans Computational Intelligence, fuzzy modeling, Granular Computing, knowledge discovery, data science, pattern recognition, knowledge-based neural networks, and control engineering, with additional exploration in Artificial Intelligence, Big Data, Data Engineering, Internet of Things, Complex Systems, and Software Engineering. Scientific Honors: IEEE Fellow (1998) Foreign member of the Polish Academy of Sciences (2009) Fellow of the Royal Society of Canada (2012) Norbert Wiener award (2007) IEEE Canada Computer Engineering Medal Cajastur Prize for Soft Computing Killam Prize Fuzzy Pioneer Award 2019 Meritorious Service Award Dr. Pedrycz holds editorial leadership as Editor-in-Chief of Information Sciences and WIREs Data Mining and Knowledge Discovery, Co-editor-in-Chief of the International Journal of Granular Computing and Journal of Data Information and Management, and serves on the Advisory Board of IEEE Transactions on Fuzzy Systems. The source material contains no details regarding his academic advising, research grants, laboratory affiliations, or educational background.
Ben Findlay serves as Senior Lecturer in Computer & Digital Forensics within the Department of Computing and Games at Teesside University, where he leads the BSc (Hons) Computer and Digital Forensics and MSc Digital Forensics and Cyber Investigation programmes. His prior career as a Digital Forensic Investigator with North Yorkshire Police involved high-profile cases including murder, child abuse, and cybercrime, providing real-world context to his academic work. He earned both his BSc (Hons) in Applied Science and Forensic Investigation and MSc in Digital Forensics from Teesside University. His research program focuses on forensic artefacts, mobile and cloud investigations, and child protection, with particular expertise in Linux systems, embedded devices, and digital policing methodologies. Analysis of his recent publications reveals a consistent trajectory toward solving practical forensic challenges in under-resourced environments, with significant contributions to Linux forensics (including thumbnail analysis and encryption access), embedded device acquisition, and standard operating procedures for law enforcement. His work bridges academic research and police practice through active consultancy and professional scheme assessments. Fellow of Higher Education Academy Member of Chartered Institute for IT (BCS) Member of Chartered Institute of Information Security (CIISec) Assessor for College of Policing's ICDIP scheme Member of Chartered Society of Forensic Sciences (CSFS) Ben supervises postgraduate research in digital forensics areas and organizes the student-led Teesside Digital Forensics Conference (TDFCon), demonstrating commitment to developing the next generation of forensic practitioners through hands-on learning experiences.
Dr Duncan Hodges is a Senior Lecturer in Cyberspace Operations at Cranfield University, affiliated with the Centre for Electronic Warfare Information and Cyber within Cranfield Defence and Security. His research spans cybersecurity, digital identity, offensive cyber operations, and natural language processing applications in security. His research interests include: Identity in cyber and natural spaces Offensive cyber activity and information warfare Natural Language Processing in cybersecurity Insider threat detection Smart home and IoT security Hodges' recent publications (2015–2022) reflect a strong focus on behavioral biometrics, identity cues, privacy, and cyber-enabled crime. His work combines technical innovation with social science insights, especially in understanding human factors in cybersecurity. Key themes include keystroke dynamics, smart home vulnerabilities, and personality inference from digital behavior. Scientific Awards and Fellowships: ESRC NCRM Fellow on Digital Identity Visitor at the Alan Turing Institute Research Leadership and Grants: Lead PI on EPSRC project: 'People Powered for Desirable Social Outcomes' CO-I on EPSRC project: enabling sensitive disclosures via conversational agents Two projects funded by the Centre for Research and Evidence in Security Threats (CREST) Collaborations with EPSRC, ESRC, Innovate UK, and Defence Science and Technology Labs (DSTL) Labs and Research Groups: He is part of the Information Operations Group at Cranfield and collaborates with the Cyber Security Centre at the University of Oxford and the Alan Turing Institute .
Simone Ferlin is an Adjunct Senior Lecturer at Karlstad University working with 5G and Internet evolution. She completed her PhD in computer science in 2017 at the Simula Research Lab and Universitetet i Oslo under the supervision of Dr. Ozgu Alay and Prof. Michael Welzl. Her PhD dissertation focused on increasing robustness in multipath transport with MPTCP. Dr. Ferlin's educational background includes a PhD in Computer Science from the Simula Research Lab and Universitetet i Oslo (2017). Her doctoral research centered on enhancing robustness in multipath transport protocols, specifically focusing on MPTCP (Multipath TCP). She also completed undergraduate work that contributed to a book project with Prof. Friedrich Oehme on electronics and circuit technology. Dr. Ferlin's research spans multiple domains at the intersection of networking, systems, and performance engineering. Her primary interests include network and system measurements, performance analysis, security, and congestion control. She investigates how networks like the Internet evolve, examining technology development, adoption patterns, and their impacts on various entities. Additionally, she explores ways to harmonize security and privacy while making them more usable and assessable. Her work particularly focuses on transport layer and multipath transport protocols, examining their performance and security aspects. She also investigates application and transport layer performance, automation, and monitoring. Her research extends to network programming in both Linux kernel and user space, mobile broadband networks from 2G to 5G, and their intersection with the Internet. She is deeply engaged in observability, distributed and system performance monitoring, and automation. Analysis of Dr. Ferlin's recent publications reveals a strong focus on next-generation networking technologies. Her work spans multiple domains including 5G/6G networks, transport protocols (particularly QUIC and MPTCP), network virtualization, container orchestration, and the application of machine learning to networking problems. She has increasingly incorporated large language models into network configuration and automation research. Her publications demonstrate a consistent emphasis on performance measurement, optimization, and security across diverse networking environments from the edge to the cloud. Dr. Ferlin has received notable recognition for her research contributions: Best paper award at IEEE ICIN'21 for 'Learning-based Incast Performance Inference in Software-Defined Data Centers' Applied Networking Research Prize (ANRP)'25 winner for 'NetConfEval: Can LLMs Facilitate Network Configuration?' Dr. Ferlin is actively involved in mentoring the next generation of networking researchers. She has co-supervised numerous Master's and PhD students across multiple institutions including Karlstad University, KTH, TU Berlin, University of Oslo, and universities in Brazil. Her students have worked on diverse topics including NAT64 performance comparison, system tracing visualization, network observability, ML applications to multipath transport, FEC integration with QUIC, high-performance networking for 5G, congestion control, shared bottleneck detection, multipath IoT applications, and container runtime performance. She is also involved in several significant research projects including Vinnova's SEMLA (Securing Enterprises via Machine-Learning-based Automation), Horizon Europe's CODECO (Cognitive Decentralised Edge Cloud Orchestration), and the Knowledge Foundation of Sweden's DRIVE (Data-driven Latency-Sensitive Mobile Services for a Digitized Society). Dr. Ferlin serves as Workshop Chair for ACM SIGCOMM '25, is a member of the ACM/IRTF Applied Networking Research Workshop (ANRW) steering committee, and co-chairs the Internet Congestion Control Research Group (ICCRG) at the IRTF. She previously served as Associate Technical Editor for IEEE Communications Magazine and has been active on numerous program committees for major networking conferences including SIGCOMM, CoNEXT, IMC, and PAM.
Jose Costa Requena is a Researcher and Research Manager at Aalto University, serving as a Staff Scientist in the Department of Information and Communications Engineering within the School of Electrical Engineering. His work centers on advanced networking infrastructure for next-generation wireless systems. Education: Doctoral degree in Engineering and Technology, Helsinki University of Technology (2007) Licentiate degree in Engineering and Technology, Helsinki University of Technology (2004) Research Interests: Dr. Costa Requena specializes in 5G/6G mobile communication, network slicing, and IoT systems. His research bridges theoretical networking concepts with industrial applications, focusing on low-latency solutions, deterministic networking for robotics, and scalable data generation frameworks for distributed sensor networks. He actively develops experimental testbeds for validating novel communication architectures. Recent Publication Trends: His 2024-2025 publications reveal a concentrated effort on practical 5G/6G implementation challenges, including QUIC-based name resolution, time-sensitive networking for industrial automation, and Sub-THz backhauling solutions. These works consistently address reliability, latency, and scalability constraints in mission-critical applications. Scientific Awards: No specific awards are documented in the available information. Advising and Grants: He has supervised at least one thesis. As principal investigator, he leads major EU and nationally funded projects including FUWIRI 2+ (2025-2027), 6G-EXP (2023-2024), and ZERO-SWARM (2022-2024), focusing on wireless infrastructure innovation and 6G test network development. Labs and Teams: Costa Requena operates within Aalto's Networked Systems research group and maintains strategic collaboration with VTT Technical Research Centre of Finland, contributing to Finland's national 5G/6G test network initiatives in Otaniemi.
Jih-Fei Cheng is Associate Professor and Chair of the Department of Feminist, Gender, and Sexuality Studies at Scripps College, where he teaches and researches at the intersection of science, media, surveillance, and social movements. He holds a PhD in American Studies and Ethnicity with an emphasis in Visual Studies from the University of Southern California, an MA in Asian American Studies from UCLA, and a BA in Communication from UC San Diego. His interdisciplinary scholarship engages feminist, queer, and decolonial theories to analyze the political economies of virology, global health, and racial capitalism. His research centers on the historical and transnational entanglements of science, empire, and social justice. Key areas include the institutionalization of queer politics, the geopolitics of HIV/AIDS, and the racialized foundations of virology. His co-edited volume AIDS and the Distribution of Crises (Duke UP, 2020) rethinks the pandemic as a network of overlapping crises shaped by colonialism and neoliberalism. He is currently working on a book project titled Materialist Virology , which historicizes virology within Euro-American empire. Cheng’s recent publications span journals such as History and Technology , Radical History Review , and GLQ , with 2025 articles on financial contagion and reservoirs signaling his continued engagement with interdisciplinary frameworks linking finance, disease, and history. His work often collaborates with artists and activists, exemplified by writings on Candice Lin’s art and co-organized dialogues on care and intravention during the pandemic. He has been recognized with multiple awards, including the Lavender Graduation Award (2023, 2016), Professional Development Grants (2019–2020, 2016–2017), and fellowships from USC and the American Antiquarian Society. His teaching and service reflect a deep commitment to LGBTQIA inclusion, racial justice, and community-based scholarship. Lavender Graduation Award for providing safe and inclusive spaces for LGBTQIA students, Queer Resource Center, The Claremont Colleges (2023) Professional Development Networks Grant at The Claremont Colleges (2019–2020) Diversity Teaching Award Nominee, The Claremont Colleges (2018) EnviroLab Asia Research and Conference Award (2017–2018) Lavender Graduation Award (2016) Professional Development Networks Grant (2016–2017) Research Fellow, Summer Institute for the Center for Historic American Visual Culture, American Antiquarian Society (2014) Visual Studies Summer Research Award, USC (2014) New Directions Fellow, USC Center for Feminist Research (2011–2012) Tritia Toyota Fellowship (2001–2002) Cheng has advised and collaborated with numerous scholars and activists, though no formal advisees are listed. His work is deeply rooted in community engagement, having previously worked in HIV/AIDS social services and served on the Board of Directors at the HIV League. He was managing editor of American Quarterly (2010–2013) and has taught at UCLA and Hunter College. His research is supported by interdisciplinary networks and collaborative projects, including digital humanities initiatives and art-theory praxis. He is involved in multiple collaborative research and publishing projects, often working with artists like Candice Lin and scholars such as Alexandra Juhasz and Nishant Shahani. His recent special issue on 'Reservoirs' brings together scholars from anthropology, media studies, and philosophy to rethink historical and ecological crises. His lab-like collaborative environments include feminist media praxis collectives and interdisciplinary workshops on crisis, care, and decolonial knowledge.
Nele Mentens is a full professor at both KU Leuven and Leiden University, where she leads cutting-edge research in applied cryptography, hardware security, and secure embedded systems. At KU Leuven, she is affiliated with the Faculty of Engineering Technology and the Electrical Engineering Department (ESAT), leading the Emerging Technologies, Systems & Security (ES&S) research group at the Diepenbeek campus. Simultaneously, she holds a full professorship at Leiden University’s Leiden Institute of Advanced Computer Science (LIACS), focusing on applied cryptography and security. She has been instrumental in numerous national and international research initiatives, including Horizon Europe and NWO-funded projects. Full Professor, KU Leuven (since 2023) Full Professor, Leiden University (since 2020) Associate Professor, KU Leuven (2014–2023) Post-doctoral Researcher & Lecturer, KHLim / KU Leuven (2007–2014) Ph.D. in Engineering Science, KU Leuven (2007) M.Sc. in Electrical Engineering, KU Leuven (2003) Her research focuses on secure and efficient hardware design, particularly for cryptographic applications on FPGAs, reconfigurable architectures, IoT security, and neuromorphic computing. She explores physical attack resistance, side-channel analysis protection, and trusted computing architectures, with applications in healthcare, industrial monitoring, and endpoint AI. Her work bridges theoretical cryptography with practical hardware implementations, emphasizing energy efficiency and real-time performance. The 15 most recent publications reflect a strong trend toward secure, energy-efficient, and intelligent embedded systems. Topics include neuromorphic AI accelerators, trusted IoT architectures, dynamic reconfiguration for side-channel protection, and secure medical data processing. These works span disciplines such as computer architecture, cybersecurity, digital design, and embedded systems, with a focus on hardware-software co-design and real-world deployment. Nele Mentens has received recognition for her contributions, including: Best Paper Award, DATE'16 Best Paper Nomination, AsianHOST'17 Best Paper Award, CHES'19 She has supervised over 15 Ph.D. students and post-docs, both current and former, and has served as principal investigator in approximately 25 funded research projects. Her work has attracted significant grants from Horizon Europe, NWO, FWO, and national innovation programs. She actively contributes to the academic community through editorial roles in top journals and leadership in major conferences. Nele Mentens leads the ES&S research group at KU Leuven and collaborates closely with LIACS at Leiden University. Her team includes Ph.D. students, post-docs, and research experts working on projects like NimbleAI, NeuroSoC, and TrustedIoT. She has also established secure electronics labs through infrastructure grants and maintains strong international ties with institutions such as EPFL, Ruhr University Bochum, and ETH Zurich.
Jorg Liebeherr is a Professor in the Department of Electrical and Computer Engineering at the University of Toronto, holding the Nortel Chair of Network Architecture and Services. His research focuses on computer networks , particularly network calculus , self-organizing networks , protocol design , and traffic scheduling . Education: Diplom-Informatiker (with distinction), University of Erlangen (Germany), 1988 PhD, Computer Science, Georgia Institute of Technology, 1991 His recent work includes low-cost LoRa mesh networks for environmental sensing and mathematical frameworks for traffic control in 5G and IoT systems. Publications span journals like IEEE Internet of Things Journal and conferences such as IEEE Infocom and ACM Sigmetrics . Scientific Awards: IEEE Fellow (2008) Outstanding Service Award, IEEE ComSoc TC on Computer Communications (2006) ACM Sigmetrics Best Student Paper Award (2005) NSF CAREER Award (1996) Advising and Grants: Supervised 15+ theses (MASc/PhD) and secured grants from NSF, Virginia Engineering Foundation, and industry partners. Labs: Leads the Network Research Lab and HyperCast projects, an open-source platform for application-layer internetworking.
