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Luke HeemsbergenView profile

Senior Lecturer

Deakin UniversityAustralia

Luke Heemsbergen is a Senior Lecturer in Communication at Deakin University's School of Communication and Creative Arts and the Alfred Deakin Institute for Citizenship and Globalisation. His research explores the intersection of digital technologies and societal power structures, focusing on how emerging media reshape political communication, human-computer interaction, and cultural practices. He co-leads the Immersive Realities Theme at Deakin Motion Lab and coordinates the Critical Digital Interfaces and Infrastructures research group. Research interests include: Digital media's role in political engagement and activism Augmented/extended reality as tools for environmental and health communication Algorithmic governance in institutional contexts Critical approaches to synthetic media and AI creativity His recent publications demonstrate sustained focus on platform politics, with 9/15 articles analyzing social media's role in elections, activism, and misinformation. Methodologically, he employs innovative digital approaches like 'backend-in' platform analysis and multimodal data visualization. Thematically, articles cluster around: 1) Pandemic technologies and surveillance, 2) Algorithmic management in institutions, and 3) Immersive media design. Supervision includes 8 doctoral students working on projects like embodied human-machine interfaces, EdTech supply chains, and surveillance law reform. Funded projects include: Defining Communication in a Digital Era (ACCAN grant) Techno-Totalitarianism vs. Disruptive Technologies (Gerda Henkel Stiftung) VR Wayfinding Visitor Experience Model (ID Laboratory)

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Laura Emilia Maria RicciView profile

Professor

University of PisaItaly

Laura Emilia Maria Ricci is a Full Professor at the University of Pisa's Department of Computer Science, leading the Pisa Distributed Ledger Laboratory (Pisa DLT Lab). Her research focuses on blockchain technology, layer-2 solutions, cryptographic techniques, and self-sovereign identity frameworks. She coordinates the National PhD program in Blockchain and Distributed Ledger Technologies and leads the PRIN research project 'AWESOME' (2023-2025). Ricci serves as an associate editor for the ACM Distributed Ledger Technologies: Research and Practice journal and the Springer Nature SN Computer Science section on blockchain innovations. Her research emphasizes blockchain scalability, transaction analysis, and social network dynamics. Recent work includes studies on NFT architectures, post-quantum cryptography in Ethereum, and query authentication protocols. She co-organized the 7th IEEE International Conference on Blockchain and Cryptocurrencies (2025) and actively participates in global blockchain initiatives. Ricci has been awarded Best Paper Awards for her contributions to decentralized cloud scheduling, hybrid architectures for online games, and distributed virtual environments. She advises numerous PhD students and oversees grants like the H2020 'HELIOS' project. Ricci's academic roles include teaching blockchain, peer-to-peer systems, and web scraping at the University of Pisa. Her lab collaborates on projects such as the AQuSDIT grant (2024-2025) and the Ethereum Foundation's 'Cross Chain Authenticated Queries.' She also chairs conferences like IEEE Blockchain and co-edits special issues on blockchain-based pervasive systems and social media analysis.

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Mehdi DastaniView profile

Professor

Utrecht UniversityNetherlands

Prof. Mehdi Dastani is a Professor and chair of the Intelligent Systems group within the Department of Information and Computing Sciences at Utrecht University's Faculty of Science. He leads the Master's program in Artificial Intelligence and focuses on formal and computational models in AI, particularly multi-agent systems. His research integrates insights from philosophy, psychology, and law to develop autonomous agents that reason about social and cognitive concepts like norms, emotions, and responsibility. Dastani has held academic roles at Utrecht University since 2001, including postdoctoral research and faculty positions. Education: M.Sc. Computer Science (University of Amsterdam, 1991), M.Sc. Philosophy (University of Amsterdam, 1992), Ph.D. in Humanities (University of Amsterdam, 1998). His work spans theoretical and applied projects, including grants for initiatives like Golden Agents (simulating Golden Age creative industries) and traffic control systems using virtual organizations. He is actively involved in academic committees, editorial boards, and organizing international conferences like AAMAS and PRIMA. Research Interests: Multi-Agent Programming, Normative Systems, Autonomous Agents, Cognitive Robotics, and Human-Centered AI. His projects address challenges like norm enforcement, decision-making in complex systems, and ethical AI integration with societal needs. Advising & Grants: Supervised numerous PhD students (e.g., Birna van Riemsdijk, Bas Testerink) and secured grants for projects such as 'Controllable AI: Human-Centered Approach'. His work includes collaborations on urban governance, autonomous driving, and AI tools for literacy support in children. Labs & Teams: Leads the Intelligent Systems group, contributing to agent-based simulations, ethical AI frameworks, and interdisciplinary collaborations with social scientists and urban planners.

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Ewilly LiewView profile

Senior Lecturer

Monash UniversityAustralia

Dr. Ewilly Liew is a Senior Lecturer at the Econometrics and Business Statistics Department of Monash University's Malaysia School of Business. She holds multiple administrative roles, including Director of Undergraduate Studies, Course Director for Bachelor of Business and Commerce (BBusCom), and Deputy Course Director for Bachelor of Digital Business (BDigBus). Her academic journey includes a Postgraduate Research Degree Full Scholarship (2013-2015) and a Data Science Microcredential from Monash Australia (2020). Dr. Liew has received notable awards like the Monash Vice Chancellor's Citation for Outstanding Contribution to Student Learning (2020). Her research focuses on emerging technology adoption, digital transformation, and behavioral analysis in public healthcare, higher education, and service sectors. Methodologies include data visualization, statistical learning, and structural equation modeling. She has led interdisciplinary projects on AI-driven healthcare analytics and collaborated with clinical specialists using Electronic Medical Records systems. Internationally, she served as a visiting research fellow at Harvard University (2015) and organized the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2022). Dr. Liew's teaching innovations include developing four new Business Analytics units. Her students excel in national and regional data science competitions. She actively participates in conferences and workshops, contributing to topics like geopolitical data security and healthcare service quality decision analytics. Her work aligns with UN Sustainable Development Goals, emphasizing thriving communities in developing contexts.

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Pingbo TangView profile

Associate Professor

Carnegie Mellon UniversityQatar

Pingbo Tang is an Associate Professor in the Department of Civil and Environmental Engineering at Carnegie Mellon University, affiliated with the College of Engineering. He leads the Spatiotemporal Workflows and Resilient Management Laboratory (SWARM Lab). Tang holds a Ph.D. from Carnegie Mellon University (2009), a Master’s in Bridge Engineering from Tongji University (2005), and a Bachelor’s in Civil Engineering from Tongji University (2002). His research focuses on civil infrastructure operations, human systems engineering, and AI-driven solutions for predictive management. Key areas include remote sensing, data analytics, and Human-Cyber-Physical-Systems (H-CPS) in construction and infrastructure (e.g., airports, nuclear plants). He has published over 100 peer-reviewed articles and secured funding from NSF, DOE, NASA, and industry partners. Tang is a leader in professional organizations, including ASCE (Computing Division Chair), TRB (Bridge Management Committee), and ASTM International. He has received prestigious awards, including the NSF CAREER Award (2015), ASCE Halpin Award (2020), and multiple best-paper honors. His work integrates AI, digital twins, and safety innovation, with applications in aviation scheduling (e.g., Alaska Airlines collaborations) and nuclear power plant operations. Tang’s research emphasizes sustainable infrastructure, safety, and interdisciplinary solutions for complex systems.

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Matthew Chapman CaesarView profile

Professor

University of Illinois Urbana-ChampaignUnited States

Matthew Chapman Caesar is a Professor at the University of Illinois, holding concurrent roles in the Siebel School of Computing and Data Science, Electrical and Computer Engineering, Information Trust Institute, Coordinated Science Lab, and Center for Digital Agriculture. His research focuses on networking, cyber-physical systems, IoT, and drone technologies. He has received the NSF CAREER Award in 2011. Research interests include software-defined networking, low-latency systems, drone swarm coordination, federated learning, and metaverse challenges from an IoT perspective. His work bridges theoretical foundations with practical applications in urban monitoring, autonomous systems, and immersive education. Recent publications explore topics such as cloud-based IoT education, obstacle-aware UAV deployment, and federated learning in drone systems. Grants and collaborations span military communications, Latin-American innovation, and metaverse computing. He is affiliated with the National Center for Supercomputing Applications (NCSA), leveraging high-performance computing for his interdisciplinary projects.

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Kwasi Gyau Baffour AwuahView profile

Research Fellow

University of SalfordUnited Kingdom

Dr Kwasi Gyau Baffour Awuah is an interdisciplinary academic and practitioner with over 22 years of international experience in real estate, urban development, and sustainability across developing and developed contexts. Currently based at THINKlab, University of Salford, he leads the real estate research and consultancy cluster while teaching urban development modules. His educational qualifications include: PhD in Economic Analysis of Spatial Planning & Management Systems PG Cert. in Academic Practice in Higher Education (PCGAP) MA in Development Studies BSc (Hons) in Land Economics Professional Diploma in Real estate surveying & valuation Certificate in Cradle-to-Cradle (C2C) Professional Certificate in Alternative dispute resolution Dr Awuah's research spans land administration, heritage conservation, urban governance, sustainable development, and property valuation, with particular focus on African urban contexts. His work bridges theoretical frameworks with practical policy implementation, addressing challenges in informal settlements, infrastructure financing, and sustainable resource management. Recent publications (2021-2024) demonstrate a pronounced shift toward digital heritage conservation (HBIM applications in Jordan), stakeholder dynamics in Nigerian water systems, and sustainable housing solutions. His interdisciplinary approach integrates urban planning, digital technologies, and governance frameworks to tackle complex sustainability challenges in rapidly urbanizing regions. No scientific awards were explicitly mentioned in the source material. Dr Awuah has supervised over 50 student dissertations across degree levels and serves as an external examiner for multiple universities. His research attracts substantial funding from: RICS (Property Valuation Practice in Sub-Saharan Africa) DFID (Urbanisation and Infrastructure Research Programme) EU (INTERREG IVB C2C BIZZ project) AHRC (Digital Heritage in India) Royal Academy of Engineering (Jordanian Heritage Conservation) As leader of the real estate research cluster at THINKlab, he directs a multidisciplinary team conducting internationally collaborative projects with academic institutions, government bodies, and industry partners across Africa, Europe, and Asia.

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Ryan P. McMahanView profile

Associate Professor

Virginia Polytechnic Institute and State UniversityUnited States

Dr. Ryan P. McMahan is an Associate Professor of Computer Science and Learning Sciences at the University of Central Florida (UCF), leading the eXtended Reality & Training (XRT) Lab. He holds a Ph.D. from Virginia Tech (2011) and has expertise in leveraging XR/VR technologies for training and education. His work emphasizes enhancing learning outcomes through immersive systems, with over $3.4M in secured funding. He is an NSF CAREER Award recipient and authored the textbook 3D User Interfaces: Theory and Practice (2nd Ed.). Education Ph.D. Computer Science, Virginia Tech (2011) M.S. Computer Science, Virginia Tech (2007) B.S. Computer Science, Virginia Tech (2004) Research Interests focus on XR/VR applications in education, human-computer interaction, and training systems. Key areas include interaction fidelity, personalized learning, and embodied cognition in virtual environments. Awards include the NSF CAREER Award and teaching accolades such as UCF’s 2023 Excellence in Graduate Teaching Award. His research has generated 5,000+ citations with a h-index of 26. Professional Engagement includes roles as IEEE TVCG Associate Editor and organizer of ICAT-EGVE 2020. He mentors students in UCF’s Mixed Reality Engineering Graduate Certificate program and advises initiatives like Girls Who Code.

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Alex C. SnoerenView profile

Professor

University of California, San DiegoUnited States

Alex C. Snoeren is a Professor in the Department of Computer Science and Engineering at the University of California, San Diego (UCSD). He is affiliated with the Systems and Networking Research Group, the Security and Cryptography Research Group, and the Center for Networked Systems. His work focuses on distributed systems, networking, and security, with notable contributions to data center networking, optical systems, and network measurement. He has advised numerous PhD students and has been actively involved in teaching courses such as CSE 120 (Principles of Computer Operating Systems), CSE 123 (Computer Networks), and graduate-level systems and networking courses. His research has led to innovations in network architecture, including projects like RotorNet (optical data center networking) and Eden (far memory integration). Key awards include the Best Paper at ACM SIGCOMM 2023 and multiple best student paper recognitions. His work spans both theoretical and applied domains, addressing challenges in network scalability, security, and efficiency.

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Jean-Christophe BACHView profile

Associate Professor

IMT AtlantiqueFrance

Role & Affiliation: Jean-Christophe BACH is an Associate Professor at IMT Atlantique's Computer Science department since 2015. He leads the PASS research group (IRISA) and focuses on software security, model-driven engineering, and cybersecurity applications. Previously, he held roles as a teaching assistant (ATER) at University of Lille (2014–2015) and completed his PhD on model transformations at Inria/LORIA under Pierre-Étienne Moreau and Marc Pantel (defended 2014). Research Interests: His work centers on improving software trustworthiness through 'security by design' principles. Key areas include model federation, formal methods for software verification, transformation traceability, and cybersecurity in industrial systems. He actively contributes to frameworks like Openflexo and PAMELA, emphasizing practical tooling for secure systems engineering. Teaching & Education: Teaches advanced topics such as object-oriented design, functional programming (OCaml), concurrency modeling, and cybersecurity. Supervises student projects on Openflexo, game development, and network security (IPv6/Tor). Courses include INF301, INF447, and others. Labs & Collaborations: Engaged with IRISA and Lab-STICC research centers. Collaborates on projects like the European Space Agency's SSE4Space framework for secure space missions and the Quarteft project (aerospace software). Active in open-source initiatives and scientific mediation for K-12 programming education.

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Ivana KovacevicView profile

Lecturer

ETH ZurichSwitzerland

Dr. Ivana Kovacevic is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich. Her research focuses on power electronics, semiconductor device modeling, and electromagnetic analysis of wide bandgap devices. ETH Zürich, Department of Information Technology and Electrical Engineering Contact: kovacevic@aps.ee.ethz.ch Her research explores SiC power MOSFETs, emphasizing their dynamic performance, reliability, and optimization through advanced modeling techniques like the Partial Element Equivalent Circuit (PEEC) method. She investigates parasitic extraction, thermal behavior, and stability issues in power modules, contributing to design improvements for high-efficiency systems. Her publications highlight trends in electromagnetic modeling, device-circuit interactions, and reliability analysis under extreme conditions. Key subfields include gate resistance dynamics, frequency-dependent capacitances, and multi-chip module design. Current projects involve virtual prototyping for power electronics and mission profile-based optimization of wearable power systems.

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Adlen KSENTINIView profile

Professor

EurecomFrance

Adlen KSENTINI is a Professor at EURECOM's Communication Systems department, specializing in advanced networking technologies. His research focuses on Mobile and Wireless Networks, Software Defined Networking (SDN), Mobile Edge Computing (MEC), Network Function Virtualization (NFV), and Content Delivery Networks (CDN), with an emphasis on performance evaluation and network virtualization. He has contributed to projects like AC3 and 6G-BRICKS, exploring cloud-edge continuum integration and 6G infrastructure. Key research interests include virtualized mobile core networks, carrier cloud systems, and AI-driven network management. He has received Best Paper Awards at IEEE WCNC 2018 and IWCMC 2016 for works on network slicing and LTE modeling accuracy. His work often integrates machine learning for optimization, sustainability, and security in 5G/6G networks. Distinctions: Two Best Paper Awards Labs/Teams: Involved in EU-funded projects like AC3 and 6G-BRICKS Grants: Not explicitly listed, but active in collaborative research initiatives

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Muhammad UsmanView profile

Senior Lecturer

Karlstad UniversitySweden

Dr. Muhammad Usman is a Senior Lecturer at the Department of Mathematics and Computer Science, Karlstad University, Sweden. His research focuses on cloud and edge computing, distributed systems, performance observability, DevOps automation, and networked systems. He holds a B.S. from NUST (Pakistan), and integrated M.S./Ph.D. from GIST (South Korea). He teaches master's-level courses in Distributed Systems and Cloud Computing. His research interests include optimizing container orchestration for edge-IoT workloads, developing AI-driven frameworks for industrial IoT (e.g., AIDA), and enhancing observability of distributed systems through frameworks like DESK and SmartX. His work often addresses challenges in resource efficiency, scalability, and fault detection in edge and cloud environments. Notable contributions include benchmarking lightweight container orchestration platforms, designing cost-effective testbeds for DevSecOps, and creating visualization frameworks for SDN-enabled clouds. His publications span topics from IIoT lifecycle management to intent-based network control. Usman actively collaborates internationally, with projects involving institutions like GIST, Aalto University, and the IEEE community. His work bridges theoretical research and practical applications in edge computing and cloud-native systems.

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Javid TaheriView profile

Professor

Karlstad UniversitySweden

Professor Javid Taheri is a leading academic at Karlstad University (2019–present), previously serving as Associate Professor (2015–2019) and Senior Lecturer (2015). His research focuses on cloud computing, edge computing, distributed systems, and AI-driven networking. He holds a Ph.D. in Information Technologies from The University of Sydney (2007) and an M.Sc./B.Sc. in Electrical Engineering from Sharif University of Technology (2000/1998). Research interests include cloud-edge continuum systems , resource optimization , 5G/6G networking , and AI for IoT . Notable contributions include frameworks like PerfSim (microservice performance simulation) and MultiScaler (auto-scaling for cloud applications). Publications highlight innovations in edge computing optimization, security for distributed systems, and machine learning for resource management. He has co-authored over 150 papers across top venues like IEEE Transactions and ACM conferences. Academic leadership includes roles as conference chair (IC2E 2023) and editorial work for journals on cloud and edge computing.

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Haijian SunView profile

Assistant Professor

University of GeorgiaUnited States

Haijian Sun is an Assistant Professor at the University of Georgia's School of Electrical & Computer Engineering. His research focuses on advanced wireless communication systems, including 5G/6G networks, federated learning, mobile edge computing, and physical layer security. He explores cutting-edge topics like reconfigurable intelligent surfaces (RIS), hybrid active-passive symbiotic radio systems, and UAV-enabled communication. His work integrates machine learning and optimization techniques to address challenges in channel modeling, energy efficiency, and network security. Recent projects include autonomous agricultural monitoring via drones and energy-harvesting sensors, as well as secure IRS-VLC communication strategies. Publications highlight innovations in dynamic wireless charging for electric vehicles, graph-based phishing detection, and radio radiance field modeling. While no specific awards are listed, his contributions reflect significant engagement with industry-relevant 6G research. Research collaborations involve digital twin networks, IoT systems, and smart grid applications. His team develops practical solutions for real-world communication challenges, emphasizing both theoretical rigor and deployable technologies.

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