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Kumaraswamy PonnambalamView profile

Professor

• Design Optimization under Uncertainty
• Systems Theory & Optimization
• Sustainable Development
• +9 more

Kumaraswamy Ponnambalam is a Professor in the Department of Systems Design Engineering at the University of Waterloo, Canada. His academic journey includes roles at the University of Toronto, University of Ottawa, Technical University of Delft, and College of Engineering, Guindy (Chennai, India). He holds a PhD in Civil Engineering from the University of Toronto, an MSc in Engineering Hydrology from the National University of Ireland, and a BSc in Civil Engineering from Madras University. His research focuses on design optimization under uncertainty, intelligent systems applications (e.g., hydrology, health decision-making), and sustainable development. Key collaborations include projects with colleagues from diverse disciplines and industries. He has secured funding from NSERC, FEDDEV, MITACS, and others. Professor Ponnambalam has received the 2006 Faculty of Engineering Distinguished Performance Award and the 2011 Best Student Paper Award. His teaching includes courses like SYDE 531 (Design Optimization) and SYDE 631 (Time Series Modelling). Industrial consulting includes work with Telesat (satellite communication efficiency) and fault detection systems for oil refineries. His recent research emphasizes interdisciplinary challenges in water resources, food systems sustainability, and infrastructure resilience. He maintains active roles in journal reviewing and conference organization, including a 2006 IASTED session on healthcare data analytics.

Aleksandar KuzmanovicView profile

Professor

• Computer Networking
• Internet Protocols
• Network Security
• +4 more

Aleksandar Kuzmanovic is a Professor in the Department of Computer Science at Northwestern University, leading the Northwestern Networks Group. He holds a Ph.D. from Rice University (2005) and B.S./M.S. degrees from the University of Belgrade (1996/1999). His research focuses on computer networking, including denial-of-service resiliency, protocol design, and Internet-scale systems. Notable contributions include the TCP-LP protocol adopted in Linux, Explicit Congestion Notification (ECN) as an Internet standard, and denial-of-service defenses for Akamai’s CDN. He has over 60 publications in top venues such as SIGCOMM, NSDI, and IMC. Education: Ph.D., Electrical and Computer Engineering, Rice University (2005) M.S., Electrical Engineering, University of Belgrade (1999) B.S., Electrical Engineering, University of Belgrade (1996) Research Interests: Network protocols and congestion control Security and resiliency in distributed systems CDN optimization and edge computing Privacy-preserving network architectures Internet measurement and standardization Professional Activities: Visiting Professor at University of Electronic Science and Technology of China Steering Committee Member of Measurement Lab (Measurement Lab) Co-founder of bloXroute Labs, Inc. Awards: NSF CAREER Award (2008) Microsoft Trustworthy Computing Award (2006) Searle Junior Fellowship (2006) Rice Presidential Fellowship (1999) Teaching: EECS 110: Introduction to Computer Programming EECS 397/497: IoT Networks Seminar

• Distributed Systems
• Cloud Computing
• Big Data Processing
• +4 more

Ignacio Martín Llorente is a Full Professor (Catedrático) at the Universidad Complutense de Madrid (UCM), leading the Distributed Systems Architecture Research Group and the Data-intensive Cloud Lab . He holds visiting positions at Harvard University as a Visiting Professor in the John A. Paulson School of Engineering and Applied Sciences (SEAS) and as a Visiting Scholar in FAS Research Computing. He earned a Ph.D. in Computer Science from UCM and an Executive MBA from IE Business School. His research focuses on distributed systems, cloud computing architectures, big data processing, edge computing, and federated networking. He pioneered projects like OpenNebula (a cloud management system) and contributed to EU initiatives such as RESERVOIR (cloud virtualization), StratusLab (grid-to-cloud integration), and BEACON (federated networking). He has authored over 169 publications and serves on editorial boards for IEEE Transactions on Cloud Computing and Journal of Grid Computing . He has secured over €100M in EU grants, leading 10 major projects. His work emphasizes transferring research into open-source technologies and commercial products. He advises OpenNebula Systems and has been a consultant for governments and companies like Microsoft. His teaching spans 67 courses in distributed systems, cloud computing, and high-performance computing.

• Edge-Cloud Computing
• Blockchain Technology
• Software-Defined Networking
• +7 more

Dr. Gagangeet Aujla is an Associate Professor in the Department of Computer Science at Durham University and a Fellow of Durham Energy Institute. With over a decade of academic experience, he previously held research positions at Newcastle University, Thapar University (India), and University of Klagenfurt (Austria). His academic journey includes a PhD from Thapar University and undergraduate degrees from Punjab Technical University. His research interests span Edge-Cloud Computing, Blockchain Technology, Software-Defined Networking, Sustainable Computing, Internet of Things, Smart Grid Systems, and Machine Learning . A central theme of his work focuses on data-driven applications including smart cities, smart grids, healthcare systems, and transportation systems with emphasis on energy efficiency, resilience, security, privacy, and intelligence. Dr. Aujla's research has resulted in numerous high-impact publications across leading venues including IEEE Transactions, Elsevier journals, and major conferences like IEEE INFOCOM and GLOBECOM. His work demonstrates strong trends in sustainable computing, blockchain applications across domains, and software-defined networking solutions for smart environments. IEEE TCSC Award for Excellence in Scalable Computing (ECR) 2022 IEEE TEMS TC on Blockchain Early-Career Award (Runner-up) 2022 2018 IEEE TCSC Outstanding PhD Dissertation Award 2021 IEEE Systems Journal Best Paper Award TIET Best Paper Award Dr. Aujla leads multiple significant research projects funded by EPSRC, UKRI, and international agencies totaling over £23 million, including the National Edge AI Hub for Real Data (£10.2M) and CHEDDAR communications hub projects. He currently supervises four postgraduate students and has served as Area Editor for Ad hoc Networks and Associate Editor for multiple prestigious journals. His work extends to organizing major workshops like BlockSecSDN and BlockCPS at IEEE conferences worldwide.

Keshav DahalView profile

Professor

• Artificial Intelligence (AI)
• Data Mining/Big Data
• Blockchain Technology
• +7 more

Overview Professor Keshav Dahal holds the Chair in Intelligent Systems and serves as Director of the Artificial Intelligence, Virtual Communication and Networks (AVCN) Research Institute and the DeLTA (Data Analytics for Intelligent and Autonomous Systems) Research Group at the University of the West of Scotland (UWS). He concurrently holds visiting professorships at Amity University (India), Kantipur Engineering College (Nepal), and Chiang Mai University (Thailand). His research focuses on AI-driven solutions for data science, blockchain technology, disaster management, healthcare systems, communication networks, and energy systems. Research Expertise Professor Dahal specializes in: Applications of AI to data mining, logistics optimization, and decision support systems Trust and security modeling in distributed systems Blockchain applications for secure authentication and decentralized systems Optimization of IoT-enabled smart technologies Healthcare informatics and remote patient monitoring Grants & Projects He has secured £30M+ in EU/UK/industry funding through 26 projects, including: EU eACCESS (2019–2024) H2020 SELFNET (2015–2018) UK Innovate KTP projects with Little Ltd, PG Paper, and WellFish Tech Professional Contributions He has: Supervised 11 postdocs and 30 PhD students Authored 200+ peer-reviewed publications Chaired 60+ international conferences Developed frameworks for interdisciplinary machine learning applications Labs & Initiatives He leads the AVCN Research Institute and coordinates EU-funded initiatives like SmartLink (2014–2019) and gLINK (2014–2019), focusing on smart technology applications across sectors.

Renxi QiuView profile

Associate Professor

• Cloud Robotics
• Connected Intelligence
• 5G and Beyond 5G Technologies
• +8 more

Dr. Renxi Qiu is an Associate Professor in Computer Science at the University of Bedfordshire's School of Computer Science and Technology. He leads the Centre of Cloud Robotics and Connected Intelligence and serves as Course Coordinator for MSc and BSc Software Engineering programs. His research focuses on cloud robotics, connected intelligence, and 5G/6G network applications for robotics. Dr. Qiu has coordinated major EU projects such as the €723K '5G Enhanced Robot Autonomy' (5G-ERA) and the €825K 'Multi-Role Shadow Robotic System for Independent Living' (SRS). He has delivered keynotes at IEEE ICRA24, EuCNC23, and the 5G-PPP Webinar series, emphasizing 5G/6G-enabled robotics and Industry 5.0. His work spans robotics middleware, network slicing, and AI integration. Research Grants: EPSRC (EP/X038203/1, EP/X038211/1), EU H2020 (101016681), Innovate UK (KTP011938). Awards: Innovation Radar (2025), Vice Chancellor’s Award (2022), Best Paper at KES 2013. Professional Roles: External Examiner for Cardiff, Birmingham, and Plymouth Universities; Session Chair at IEEE IROS and INDIN conferences. His lab, the Centre of Cloud Robotics and Connected Intelligence, develops platforms like the 5G-ERA middleware for real-world networked robotics applications. He supervises 13 PhD students and collaborates with entities like TWI Cambridge and OTE Academy.

Elhadj BenkhelifaView profile

Professor

• Cloud/Edge Computing
• Bio-Inspired Computing
• Cybersecurity
• +7 more

Elhadj Benkhelifa is a full Professor of Computer Science and Digital Innovations at Staffordshire University, leading the Head of Professoriate role to advance university strategies. He founded the Smart Systems, AI and Cybersecurity Research Centre (SSAICS), directing 15 staff and 23 PhD students. Previously, he held roles at Cranfield University and the University of the West of England. His interdisciplinary research focuses on cybersecurity, cloud/edge computing, bio-inspired systems, and AI applications in healthcare and digital transformation. He is a Visiting Professor at Universities of Suffolk, Lyon3, and Paris 8, and chairs the IEEE UK&I Section's Education & STEM office. Education includes a PhD in Artificial-Life (Bio Inspired Evolvable and Self-Healing Systems) from UWE Bristol Robotics Lab, alongside postgraduate certifications in research supervision and higher education. His work bridges academia and industry, addressing challenges in cybersecurity, IoT, and healthcare through applied research. Research interests span cloud computing paradigms, semantic technologies, and AI ethics, with over 150 publications. His recent articles emphasize AI-driven cybersecurity solutions, quantum computing applications, and medical diagnostics using deep learning. He actively contributes to open-access publishing and advises on national cybersecurity strategies. Awarded Fellow of the UK Higher Education Academy, he leads impactful projects including malware detection systems, semantic knowledge graphs for public health, and blockchain-based authentication frameworks. His teaching spans undergraduate to PhD levels, with over 100 supervised projects. He also serves on advisory boards for cybersecurity initiatives and Staffordshire Police's evidence-based practices.

Bruce ShepherdView profile

Professor

• Optimization
• Algorithms
• Convex Geometry & Polyhedral Combinatorics
• +5 more

Bruce Shepherd is a Professor in the Department of Computer Science at the University of British Columbia. Previously, he held roles at the London School of Economics (LSE), Bell Laboratories, and McGill University. His academic journey includes a BSc from the University of Victoria, followed by an MSc and PhD in Combinatorics and Optimization from the University of Waterloo under supervision of Dan Younger and Bill Pulleyblank. He has held prestigious fellowships, including NATO Postdoctoral and Von Humboldt, and served as acting director of the Institute of Applied Mathematics at UBC (2019-2020). Research focuses on optimization, algorithms, graph theory, and network design , with applications in real-time systems, scheduling, and pricing. Key contributions include work on multiflow topologies, Gomory-Hu trees, and resilient network design. He has authored over 80 papers and served on editorial boards for journals like Mathematical Programming and SIAM-MPS Series . Awards and Recognition : NATO Postdoctoral Fellowship (1990s) Von Humboldt Fellowship (1990s) Nuffield Foundation Award (1990s) James McGill Professor (McGill University, 2007-2017) Professional Activities : Co-editor of Mathematical Programming Series A (2007-2016). Visiting positions at Microsoft Research, University of Washington, and the Fields Institute. Organized workshops on discrete optimization, data science, and robust network design.

Kwanghee WonView profile

Associate Professor

• Computer Vision
• Deep Convolutional Neural Networks
• Deep Reinforcement Learning
• +4 more

Kwanghee Won is an Associate Professor at the McComish Department of Electrical Engineering and Computer Science, South Dakota State University. His research focuses on computer vision, deep learning, and their applications in autonomous systems, precision agriculture, and structural health monitoring. He holds a Ph.D. from Kyungpook National University, Korea. Education: B.S., M.S., and Ph.D. in Computer Engineering from Kyungpook National University, Daegu, Korea Research Interests: Deep convolutional neural networks for anomaly detection and classification Autonomous vehicle systems and augmented reality applications Computer vision in smart agriculture and infrastructure assessment Model compression techniques for efficient neural networks Professional Contributions: Upsilon Pi Epsilon honor society faculty advisor (2021–present) ACM member and SIG Applied Computing participant Labs and Teams: Director of the Intelligent Vision Systems Laboratory , focusing on advanced vision-based solutions for real-world challenges.

Julian KangView profile

Associate Professor

• 3D/4D Modeling
• Biomimetic Structures
• Virtual Reality-Based Training
• +3 more

Dr. Julian Kang serves as the Department Head and Associate Professor in the Department of Construction and Concrete Industry Management at South Dakota State University. With over 30 years of experience, his career spans industry and academia, including roles at Korea Power Engineering Company and Texas A&M University. He pioneered Building Information Modeling (BIM) education in the U.S. and co-founded the Building Information Modeling Texas Alliance to bridge academia and industry. Education: B.S. and M.S. in Civil Engineering, Yonsei University (Seoul, South Korea, 1986–1988) Ph.D. in Civil Engineering, Texas A&M University (2001) Research Focus: Kang’s research emphasizes 3D/4D modeling, biomimetic structures, VR-based training, and digital fabrication. His innovations include the Computer Aided Virtual Environment (CAVE) for BIM collaboration and stochastic simulation models for construction decision-making. His work addresses challenges in infrastructure sustainability, repair technologies, and immersive visualization systems. Key Contributions: His 2023 studies explore VR spatial estimation accuracy and structural design optimization, while earlier work (2007–2012) established foundational BIM methodologies. He holds a patent for 3D-printed concrete repair and has been recognized with the William A. Klinger Memorial Research Award (2007). Awards & Recognition: William A. Klinger Memorial Research Award (2007) Advising & Grants: Kang’s academic leadership includes advising graduate researchers and securing funding for BIM, VR, and biomimetic projects. His work integrates industry collaboration, exemplified by the BIM Texas Alliance and partnerships with firms like Tongyang Cement. Labs & Teams: Leads the BIM/CAVE immersive system development and collaborates with interdisciplinary teams on digital construction solutions.

• Energy Management Systems
• Smart Grids
• Renewable Energy Integration
• +3 more

Dr. Fengji Luo is an Academic Fellow in Structural Engineering at the University of Sydney's School of Civil Engineering. He joined in 2016 after completing his PhD. His research focuses on intelligent energy management solutions for sustainable urban infrastructure, including smart grids, renewable integration, and demand-side optimization. He holds notable awards such as the 2018 UK Rutherford Fellowship and the 2016 Australia-Japan Emerging Research Leader Award. Research Interests: Dr. Luo's work combines engineering, computer science, and architecture to develop energy systems that balance sustainability, affordability, and efficiency. Key areas include: - Smart grids and microgrids - Building energy management - Cyber-physical systems for energy infrastructure - Peer-to-peer energy trading frameworks - Renewable energy optimization Publications: His recent work spans energy management frameworks, federated learning in load forecasting, and multi-agent systems for virtual power plants. Notable collaborations include projects with blockchain technologies for secure energy trading and AI-driven traffic flow prediction. Grants & Students: Advises 4 PhD students (Boxuan LIU, Xiaosheng LIU, Upendra NEUPANE, Bohan ZHANG) on topics like EV charging networks and non-intrusive load monitoring. Research emphasizes real-world applications for stakeholders including utility companies and urban planners. Labs & Teams: Active in the School's energy systems research group, contributing to initiatives like the Sydney Smart Grid, Smart City projects, and collaborations with industry partners on grid resilience solutions.

Zhuoqing Morley MaoView profile

Professor

• Network Systems
• Mobile and Distributed Systems
• Cybersecurity
• +6 more

Zhuoqing Morley Mao is a Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan. He holds the Morris Wellman Faculty Development Professorship and has received prestigious awards such as the NSF CAREER Award and Sloan Fellowship. His research focuses on network systems, mobile/distributed systems, and cybersecurity, with a strong emphasis on autonomous vehicle security, sensor fusion, and adversarial machine learning. Mao received his B.S., M.S., and Ph.D. from the University of California, Berkeley. He has taught courses including EECS388 (Computer Security), EECS591 (Distributed Systems), and EECS280 (Programming and Data Structures). His work spans securing connected vehicles, analyzing cellular network performance, and developing robust protocols for autonomous systems. He has pioneered defenses against adversarial attacks on LiDAR and GPS spoofing, contributing to safer autonomous driving frameworks. Awards include the Sloan Fellowship (2012), NSF CAREER Award (2010), and IBM Faculty Partnership Award (2009). He leads projects such as AVGuardian for autonomous vehicle security and MPBond for mobile device collaboration. Mao's research has been published in top venues like SIGCOMM, Usenix Security, and IEEE S&P. His lab focuses on real-world network measurements, protocol design, and cybersecurity for emerging technologies.

Antony HoskingView profile

Professor

• Programming Languages
• Software Systems
• Software Assurance
• +7 more

Antony Hosking is a Professor and School Director of the School of Computing at the Australian National University (ANU). He holds a BSc in Mathematical Sciences from the University of Adelaide (1985), MSc with First Class Honours in Computer Science from the University of Waikato (1987), and a PhD in Computer Science from the University of Massachusetts Amherst (1995). Prior to ANU, he served for over 20 years at Purdue University as Assistant Professor and later tenured Associate Professor of Computer Science. He is also an Honorary Professor at the University of Massachusetts Amherst. His research focuses on programming languages, software systems, and software assurance, with particular expertise in garbage collection, memory management, compiler optimizations, and architectural support for programming languages. He co-authored the seminal reference text *The Garbage Collection Handbook*, now in its second edition (2023), and has contributed extensively to conferences like ACM SIGPLAN. He has held leadership roles in professional organizations, including the Executive Committee of ACM SIGPLAN and the International Symposium on Memory Management. Hosking’s accolades include being a Distinguished Scientist of the Association for Computing Machinery (ACM), an elected member of Association Internationale pour les Technologies Objets (AITO), and a Professional Member of IEEE. His consulting work involves intellectual property litigation in US courts and the US Patent and Trademark Office. He has advised on high-performance garbage collectors, concurrency, and real-time systems, with a focus on energy-aware and persistent storage solutions. His recent work addresses foundational assurance in systems software, aiming to build trustworthy systems. He collaborates on projects like the Single-Chip Cloud Computer and explores portable performance for parallel managed languages across multi-core architectures.

• Artificial Intelligence
• Data Science
• Optimization
• +8 more

Richard Allmendinger is a Professor of Applied Artificial Intelligence at Alliance Manchester Business School, The University of Manchester, and serves as Associate Dean for Business Engagement, Civic & Cultural Partnerships in the Faculty of Humanities. He holds qualifications including a PhD in Computer Science from the University of Manchester and advanced degrees from Karlsruhe Institute of Technology and RMIT. His research focuses on applying optimization and machine learning to real-world challenges in healthcare, manufacturing, sports, forensics, and AI-driven decision-making. He leads the North West Productivity Forum and advises organizations like Guru AI and River Capital. His work spans interdisciplinary collaborations with industry and academia, addressing problems such as cybersecurity investment optimization, extreme weather forecasting, and personalized medicine supply chain design. Notable achievements include winning the Test-Comp 2025 gold medal for FuSeBMC research and contributions to synthetic data generation and healthcare anomaly detection. Current projects include the Centre for Digital Trust and Society and EDASIDA (Enhancing Data Accessibility and Security), funded by EPSRC and Innovate UK. He actively supervises PhD research in optimization, AI ethics, and sustainable technologies, emphasizing practical applications and societal impact.

Gero LückemeyerView profile

Professor

• Business Process Management
• Augmented Reality/Virtual Reality
• Digitalization
• +3 more

Professor Gero Lückemeyer serves as Dean of the Faculty of Surveying, Computer Science and Mathematics at HFT Stuttgart since 2024. Previously, he held the position from 2020–2024 and has been the Dean of Studies for the Bachelor of Computer Science since 2013. He leads the VirtuS Laboratory for Virtualized Systems, established in 2010, and holds a professorship in Business Informatics with a focus on Business Process Management since 2006. His expertise spans agile process management, AR/VR integration in digitalization, and innovative teaching/learning methodologies. Academically, he earned a PhD in Natural Sciences (Dr. rer. nat.) from the University of Cologne in 2000 and a Diploma in Business Information Systems in 1998. His professional background includes IT consulting and project leadership in telecommunications at sd&m AG (later CapGemini sd&m) from 2000–2006. Research interests include cybersecurity compliance (e.g., ISO/IEC 27001), digital teaching tools (e.g., Moodle integrations), and applications of machine learning in smart systems. His work emphasizes AR/VR for education and industry, as seen in projects like SensAR and DigiLab4U. He has received awards for research relevance (Cologne Prize, 2005) and educational excellence (Helmholtz-Gymnasium Award, 1995). Key contributions include developing the VirtuS Lab, leading the MoJEC and Moodle DTT tools for education, and pioneering COaaS frameworks for HPC. His articles focus on optimization using reinforcement learning, cybersecurity standards, and educational technology innovation.