CHAN Mun Choon is a Professor at the School of Computing, National University of Singapore (NUS) , where he directs the NUS-NCS Joint Laboratory for Cyber Security . He previously worked at Bell Labs (1997-2003) and holds a PhD from Columbia University (1997). His research spans systems and networking with specific interests in mobile computing, software-defined networking, and cyber-physical systems . PhD, Electrical Engineering (1997), Columbia University M.Phil., Electrical Engineering (1993), Columbia University MS, Electrical Engineering (1993), Columbia University BS, Computer & Electrical Engineering (1990), Purdue University His recent work focuses on 5G network architecture , data center fault debugging , and energy-efficient mobile sensing . He has published over 100 papers and holds 7 US patents , including cache-based compaction techniques with 210+ citations. His projects include fronthaul slicing for 5G, network-wide packet history frameworks, and participatory indoor localization. Scientific recognition includes: Best Paper Awards: IEEE ICNP 2019, ACM SOSR 2019, ICDCN 2016 Best Demo: IPSN 2016 Distinguished Member, INFOCOM TPC (2016, 2020, 2021) He serves as Vice-Dean, Graduate Studies and Vice-Dean, Academic Affairs at NUS Computing, and has graduated 21 PhD students . His lab develops solutions for network security , latency-sensitive applications , and mobile sensing .
Naresh R. Shanbhag is the Jack Kilby Professor in the Department of Electrical and Computer Engineering and the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign. He serves as Director of the Systems on Nanoscale Information fabriCs (SONIC) Center and held the D.J. Gandhi Distinguished Visiting Professorship at IIT Mumbai from 2015-2020. Previously, he was a visiting faculty member at National Taiwan University (2007) and Stanford University (2014). Dr. Shanbhag received his doctorate from the University of Minnesota (1993) in Electrical Engineering. From 1993 to 1995, he worked at AT&T Bell Laboratories as the lead chip architect for AT&T's 51.84 Mb/s transceiver chips over twisted-pair wiring for Asynchronous Transfer Mode (ATM)-LAN and very high-speed digital subscriber line (VDSL) chip-sets. His research focuses on the design of energy-efficient machine learning, communications, and signal processing systems on resource-constrained embedded platforms. He explores fundamental trade-offs between energy efficiency, latency and accuracy of decision-making systems implemented in nanoscale technologies, with applications to computer vision, biomedicine, automatic target recognition, and imaging. His work spans four primary focus areas: Resource-efficient Machine Learning for the Edge, In-memory Computing (IMC), Energy-efficient High Data Rate Communications, and Shannon-inspired Statistical Error Compensation (SEC). Analysis of his recent publications reveals a strong emphasis on in-memory computing architectures (SRAM, MRAM, RRAM) for machine learning acceleration. His work consistently addresses energy-accuracy trade-offs, with increasing attention to security aspects of hardware implementations and applications to MIMO signal processing and edge AI systems. His research demonstrates a progression from theoretical foundations to practical silicon implementations. 2024 Semiconductor Research Corporation Innovation Award 2018 Semiconductor Industry Association/Semiconductor Research Corporation University Researcher Award 2018 IEEE International Symposium on Circuits and Systems Best Paper Award 2006 IEEE Fellow 1996 National Science Foundation CAREER Award Professor Shanbhag has mentored over 50 graduate students who now work at leading technology companies including Qualcomm, Amazon, Nvidia, Intel, and Apple. His research has been generously supported by the National Science Foundation, DARPA, AFRL, Semiconductor Research Corporation, Texas Instruments, Sandia National Laboratories, and industry partners including IBM, GlobalFoundries, and Intel Corporation. He led the Alternative Computational Models research theme (2006-2012) and was the founding Director of the SONIC Center (2013-2017), a 5-year multi-university center funded by DARPA and SRC. Currently, he leads research themes in the SRC and DARPA funded JUMP 2.0 Program's Center for Co-Design of Cognitive Systems and the Center for Ubiquitous Connectivity, and in the NSF IUCRC Center for Advanced Semiconductor Chips with Accelerated Performance (ASAP). As Director of the Systems on Nanoscale Information fabriCs (SONIC) Center, Professor Shanbhag leads a multidisciplinary team exploring novel computing paradigms for the nanoscale era. His group has benchmarked an extensive collection of in-memory computing and digital accelerator IC designs, maintaining a publicly available IMC benchmarking repository of metrics extracted from published IC prototypes. His research philosophy integrates concepts from information theory, statistical signal processing, detection and estimation, VLSI architectures, and digital and analog integrated circuits to develop energy-efficient systems from algorithms to silicon implementations.
Richard D. Noble is a Research Professor in the Department of Chemistry at the University of Colorado Boulder. His research focuses on advanced membrane technologies for gas and liquid separations, with particular expertise in ionic liquids, liquid crystals, and the application of external fields for selective separations. He maintains an active laboratory in Cristol Chemistry (room 357) and collaborates extensively with Professor Doug Gin on many research projects. Noble received his BE and ME from Stevens Institute of Technology in 1968 and 1969 respectively, followed by a Ph.D. from the University of California, Davis in 1976. His educational background in engineering has provided a strong foundation for his research in chemical engineering and materials science. Professor Noble's research program centers on three interconnected areas. His primary focus is on ionic liquids for gas separations , where he evaluates various ionic liquids and complexation chemistry to tailor material properties to specific feed mixtures. He explores composite polymer/IL structures and incorporation of complexation chemistry and zeolites, and has developed specialized apparatus to measure gas solubility and diffusivity in ionic liquids. This work is conducted in collaboration with Professor Doug Gin. His second research thrust involves the use of external fields for selective separations . Noble studies how electric or light energy can enhance separation processes by changing binding affinity of complexing agents. His notable achievement is an electrochemical pump with no moving parts that produces pressures exceeding 20 atm, with applications in lab-on-a-chip and micro-scale devices. He also develops charged polymer structures for membrane separators with wide temperature and chemical stability. His third major area focuses on liquid crystals organized to form nanostructured polymer network films. These cross-linked stable films are evaluated for nanofiltration applications, particularly in water filtration including treatment of water from fracking operations. This work often intersects with his ionic liquids research, creating composite structures with potential applications in electrochemical pumps. Noble's publication record from 2017-2019 shows consistent focus on membrane technologies for separation processes, with increasing sophistication in membrane design incorporating ionic liquids, liquid crystals, and novel materials like pillar[5]arenes. His work demonstrates a clear trend toward addressing practical industrial challenges, particularly in natural gas purification (CO 2 /CH 4 separation) and environmental applications (treatment of fracking wastewater). His collaborations have produced high-impact work published in top journals including Nature Materials , Journal of Membrane Science , and Angewandte Chemie . Professor Noble has received numerous prestigious awards recognizing his contributions: AIChE Institute Service to Society Award (2005) Alfred T. and Betty E. Look Professor of Chemical Engineering (2005-present) Multiple Outstanding Graduate Teaching Awards from the Chemical Engineering Department (2006-2008) ACS Industrial & Engineering Chemistry Division Fellow (2007) CU Boulder Inventor of the Year (2008) Barrer Lecture at Penn State University (2008) Fellow at the Renewable and Sustainable Energy Institute (2009-2012) Robert L. Stearns Award from CU Alumni Association (2010) Chair d'Excellence Pierre de Fermat at Paul Sabatier University, Toulouse (2010) AIChE Institute Excellence in Industrial Gas Technology Award (2010) And numerous others through 2015 While specific grant details aren't provided, Noble's extensive publication record with multiple co-authors suggests active research mentoring and well-funded projects. His work on sophisticated apparatus and high-quality publications indicates substantial research support. His collaborations, especially with Doug Gin, suggest a strong research group environment focused on membrane science and separation technologies. Professor Noble's research operates at the intersection of chemistry, chemical engineering, and materials science. His laboratory includes facilities for membrane fabrication, gas separation testing, and characterization of novel materials. The development of specialized apparatus for measuring gas properties in ionic liquids suggests dedicated equipment for fundamental property measurements. His work on electrochemical pumps indicates capabilities in microfluidics and device fabrication, with the collaborative nature of his research suggesting a team approach to tackling complex separation challenges.
Mauro Conti is a Full Professor at the University of Padua, Italy, where he serves as Editor-in-chief of IEEE TIFS, UniPD Academic Advisor for Entrepreneurship Development, Study Program Coordinator of the MSc degree in Cybersecurity, Head of the SPRITZ Security and Privacy Research Group, and Director of the UniPD node of CINI Cybersecurity National Lab. He also maintains affiliations with TU Delft (NL) and the University of Washington (USA). Additionally, he is the CEO and co-founder of CHISITO and co-founder of DYALOGHI. His research focuses on security and privacy for wireless resource-constrained mobile devices (WSNs, RFIDs, and smartphones), computer system security, computer forensics, access control, and distributed and networked systems. Professor Conti has published extensively in top security venues including ACM CCS, IEEE S&P, NDSS, and USENIX Security, with recent work covering topics such as battery authentication, federated learning privacy, private set intersections, USB peripheral fingerprinting, and ATM PIN inference. He has received numerous prestigious awards including IEEE Fellow, Young Academy of Europe Fellow, EU Marie Curie Fellow, and DAAD Fellow. Professor Conti has advised over 100 students at various levels including PhD, MSc, and BSc, many of whom have gone on to successful careers in academia and industry. His research has been supported by multiple European Commission projects, university grants, and industry collaborations with companies like Cisco and Intel.
Dr. Jacques Archambault is a Professor in the Department of Microbiology and Immunology at McGill University , and an associate member of the Division of Experimental Medicine since 2016. His research focuses on the molecular biology and pathogenesis of human papillomaviruses (HPVs) and polyomaviruses (HPyVs), with an emphasis on their replication mechanisms as episomes in host cells. The Archambault laboratory employs functional genomics, proteomics, and chemical biology approaches to identify cellular pathways exploited by these viruses and develop high-throughput assays for screening small molecule inhibitors of viral replication. Analysis of his recent publications reveals a strong focus on HPV and HPyV replication machinery, including studies on the E1 helicase, UAF1-USP1 interactions, and structural characterization of viral proteins involved in DNA replication. His work bridges virology, oncology, and drug discovery, particularly targeting oncogenic HPV types implicated in anogenital and oropharyngeal cancers, as well as HPyVs like BKPyV and JCPyV that cause pathologies in immunosuppressed patients. Current efforts in the lab aim to elucidate the molecular mechanisms by which HPVs and HPyVs replicate their genomes and to develop antiviral therapies targeting these processes. Techniques such as fluorescence anisotropy, NMR spectroscopy, and crystallography are frequently employed to study protein-DNA and protein-protein interactions critical to viral replication.
Prof. Iris F.A. Vis is a Professor of Industrial Engineering at the University of Groningen's Faculty of Economics and Business. She specializes in logistics and operations management, focusing on optimizing processes through quantitative and qualitative methods. Her work intersects logistics with sectors like healthcare, education, and energy. She leads major projects such as SMiLES (sustainable mobility-logistics integration) and designs logistics solutions for personalized learning systems in schools. She has advised over a dozen PhD students and collaborates with industry partners globally. Awards include Fellowship in the Netherlands Academy of Engineering. Education: M.Sc. Mathematics (Leiden University), PhD in Operations Management (Erasmus University Rotterdam) Roles: Captain of Science for Topsector Logistics, Member of multiple national advisory boards Research interests span sustainable transportation networks, port optimization, healthcare logistics, and educational logistics. Key projects include LNG supply chain design, offshore wind farm maintenance planning, and synchromodal transport networks. Over 45 peer-reviewed publications and 18 media engagements highlight her impactful contributions. Teaching includes courses on supply chain network design, technology-enabled innovation, and operations management at all academic levels. She advises on industrial partnerships and digital transformation initiatives in the Northern Netherlands region.
Brendan A. Harley is the Robert W. Schaefer Professor in Chemical and Biomolecular Engineering at the University of Illinois at Urbana-Champaign (UIUC), with a joint appointment in the Carl R. Woese Institute for Genomic Biology. His research focuses on developing biomaterials to replicate complex tissue microenvironments, enabling insights into cell behavior during development, disease, and regeneration. He holds leadership roles in academic and professional organizations, including editorial positions for Science Advances and Tissue Engineering . Harley earned his SB from Harvard University (2000), SM/ScD from MIT (2002, 2006), and completed postdoctoral studies at Boston Children’s Hospital. **Education**: Sc.D., Massachusetts Institute of Technology, 2006 S.M., Massachusetts Institute of Technology, 2002 S.B., Harvard University, 2000 **Research Interests**: Engineering dynamic, spatially-patterned biomaterials to mimic extracellular matrices Regenerative repair of musculoskeletal tissues Biomaterial models of cancer microenvironments (e.g., glioblastoma) Artificial bone marrow systems for hematopoietic stem cell studies Harley’s work has produced over 100 peer-reviewed articles and co-authored a textbook Cellular Materials in Nature and Medicine . His lab develops materials for clinical applications, including osteochondral defect repair and craniofacial bone regeneration. Notable honors include the NSF CAREER Award (2013), AAAS Fellowship (2014), and AIMBE Fellowship (2019). **Awards/Recognition**: Fellow, AAAS (2014) Young Investigator Award, Society for Biomaterials (2014) Campus Distinguished Promotion Award, UIUC (2018) His research group emphasizes translational outcomes, with projects spanning biomaterial design, cancer modeling, and stem cell engineering. Collaborations include industry partners like Orthomimetics (acquired by TiGenix) and foundational studies on tumor microenvironments.
Gurjot Singh is a Research Fellow at the Department of Computer and Information Science (IDA) at Linköping University, Sweden. His research focuses on cybersecurity in aviation systems, next-generation communication networks, and industrial IoT security. He collaborates with prominent researchers like Andrei Gurtov and Suleman Khan, contributing to projects such as SEC-AIRSPACE and Post Quantum Secure Handover Mechanisms. His work spans vulnerability assessments, secure protocol design, and post-quantum cryptography applications. Education details are not explicitly stated, but his research aligns with advanced cybersecurity and network engineering domains. Key research interests include aviation cyber risk assessment, secure data link communications, and privacy-preserving authentication mechanisms for IoT and industrial environments. Publications emphasize cybersecurity challenges in aviation, industrial networks, and IoT, with recent work addressing quantum-resistant protocols and drone remote identification security. Collaborations include contributions to conferences like NordSec and AIAA DATC. He is affiliated with the cybersecurity lab at LiU, supporting educational programs like Digital4Business, which integrates AI and cybersecurity expertise. His role in the Database and Information Techniques (ADIT) division highlights involvement in interdisciplinary research groups.
Manolis G.H. Katevenis is a Professor at the Department of Computer Science, University of Crete, and Deputy Director and Head of the Computer Architecture and VLSI Systems (CARV) Laboratory at the Institute of Computer Science (ICS), Foundation for Research & Technology - Hellas (FORTH). He co-founded the European Research Center on Computer Architecture (EuReCCA) and is a founding partner of the European Network of Excellence on High-Performance and Embedded Architecture and Compilation (HiPEAC). PhD in Computer Science from University of California, Berkeley (1983) Co-founder of EuReCCA (2011) Contributed to RISC architecture (1980-1983), interconnection networks (1985-2011), and parallel computing (1993-2010) His research spans Scalable Multicore Systems , Interconnection Network Architecture , Packet Switch Design , Computer Architecture , and VLSI Systems . He has made foundational contributions to per-flow queueing, backpressure mechanisms, and wormhole IP over ATM, with applications in internet routers, data centers, and supercomputers. His publications focus on high-radix crossbar switches, flow control algorithms, and explicit interprocessor communication. Notable scientific awards include: ACM Doctoral Dissertation Award (1984) David J. Sakrison Memorial Prize (1983) IBM PhD Fellowship (1981-1983) Greek State Fellowship (1973-1978) He has supervised 40 graduate theses and participated in 22 R&D projects totaling €9M, including HiPEAC (coordinator of interconnection networks), SARC (FPGA prototype design), and ENCORE (cache-optimized remote DMA). His work has received over 2000 citations, with an h-index of 23.
Jorge Garcia Vidal is a Professor in the Department of Computer Architecture at the School of Computer Science, Universitat Politècnica de Catalunya (UPC). He is a key member of the CNDS - Computer Networks and Distributed Systems research group, with a sustained record of research activity from the late 1980s to the present, including publications projected into 2025. His work bridges theoretical network performance analysis and applied IoT systems, particularly in environmental monitoring. His research interests center on Computer Networks , Internet of Things (IoT) , Sensor Networks , and Data Quality in IoT . He has made significant contributions to ATM network performance, medium access control, and traffic modeling. More recently, his focus has shifted to air quality monitoring using low-cost sensor networks, employing techniques in Graph Signal Processing , Machine Learning , and Anomaly Detection to improve data reliability and estimate pollutants like black carbon. The recent article trends show a strong emphasis on developing data-driven frameworks, virtual sensors, and robust models for environmental IoT platforms. His work integrates advanced signal processing and machine learning to address the challenges of heterogeneous, low-cost sensor data in urban settings. His scientific achievements have been recognized with awards including the Premio Extraordinario de Doctorado and the Premio Mejor Tesis Doctoral . He has advised several doctoral students, including Pau Ferrer-Cid, David Fusté Vilella, Steluta Iordache, and Julian David Morillo Pozo. He is actively involved in numerous competitive and non-competitive R&D projects, such as those related to digital twins, IoT platforms for smart cities, and nature-based urban solutions, often funded by state and regional programs. He collaborates extensively within UPC and with external partners. His research is conducted primarily within the CNDS research group at UPC, a collaborative environment focused on computer networks and distributed systems, with connections to broader initiatives in smart cities and environmental monitoring.
Dr. Stavros Shiaeles is an Associate Professor in Cybersecurity at the Faculty of Technology , University of Portsmouth, and Co-Director of the Portsmouth AI and Data Science Centre (PAIDS) . With over 130 publications and 3000+ citations, he specializes in cybersecurity, applied AI, and threat mitigation frameworks. Academic Qualifications : PhD in Electrical and Computer Engineering (Democritus University of Thrace, 2013), MEng in Electrical and Computer Engineering (Democritus University of Thrace, 2007), MBA in Human Resource Management (University of Plymouth, 2016), and PG Cert in Academic Practice (University of Plymouth, 2017). Research Interests span cybersecurity, malware detection, blockchain, 6G networks, AI/ML applications, digital forensics, and post-quantum cryptography. His work addresses threats in IoT, financial systems, and critical infrastructure while exploring SDG4 (Quality Education) through cybersecurity training. Recent publications emphasize AI-driven anomaly detection (e.g., ransomware behavior analysis, 6G traffic monitoring), deepfake forensics, synthetic image attribution, and hybrid blockchain/AI security architectures. He also curates datasets for malware analysis and synthetic media classification. Scientific Awards : IEEE SMC TCHS Outstanding Service Award (2021). Grant Funding : Over €18M secured in EU Horizon 2020 grants, including €8M as Principal Investigator for the ongoing XTRUST-6G project. Active in KTPs, consulting, and research commercialization opportunities.
H. Evren Damar is an Associate Professor of Economics at Hobart and William Smith Colleges, where he has been a faculty member since 2016. He holds a Ph.D. in Economics from the University of Washington, Seattle, and his research focuses on banking, financial regulation, and macroeconomic policy. Ph.D. in Economics, University of Washington, Seattle, WA, 2004 Master of Arts in Economics, University of Washington, Seattle, WA, 2001 Bachelor of Science in Industrial Management, Carnegie Mellon University, 1998 His research interests center on banking institutions, financial stability, household finance, and international financial systems. He investigates how financial distress, regulatory changes, and banking mergers affect lending behavior and consumer outcomes. His work often involves empirical analysis of large datasets and collaboration with central banks and research institutes. Damar's publications span top journals in economics and finance, with recurring themes including liquidity risk transmission, deposit insurance, and cross-border banking regulation. His research has practical implications for financial policy and consumer protection. International Banking and Regulation Household Portfolio Allocation Banking Deregulation and Energy Use Credit Usage Over the Lifecycle Consumer Bankruptcy and Information He has received recognition through research appointments at the Halle Institute for Economic Research and as an External Academic Consultant at the Bank of Canada. His work bridges academic research and policy-relevant analysis. Damar teaches courses such as International Macroeconomics, Money and Banking, and Economic Statistics. He advises on empirical research and contributes to policy discussions on financial regulation and household economic behavior. His research collaborations include scholars from the Bank of Canada, European Central Bank, and other international institutions. He is affiliated with the Department of Economics at Hobart and William Smith Colleges and contributes to research networks in banking and macroeconomics. His external roles enhance the academic and policy impact of his work.
Milionis Apostolos is a Professor in the Department of Digital Systems at the University of Piraeus, part of the School of Information and Communication Technologies. He has been teaching in the Department's Undergraduate and Postgraduate programs since 2005. He earned his diploma from the Department of Computer Engineering and Informatics at the University of Patras in 1994 and completed his PhD at the Department of Electrical and Computer Engineering of the National Technical University of Athens in 1999. Professor Milionis specializes in Distributed and Embedded Systems with extensive research in distributed computing architectures, embedded telecommunications, intelligent pervasive systems, and real-time applications. His work spans both theoretical and practical implementations including satellite communications and industrial HPCN applications. He has developed innovative applications such as a digital companion for autonomous navigation for the blind using smartphones. He has served as Scientific Director of the research project T1ΕΚ-593 MANTO and the authorship project KALLIPOS+ 556 "Embedded Systems". His industry experience includes positions as R&D Manager and Technical Director of Network Systems, along with service as a Scientific Associate at the Telecommunications Laboratory and NTUA's Research and Development Center. Scholarship from the Hellenic Republic for first place in his year Scholarship from the Hellenic Republic for second place in his year Scholarship from the Bodossaki Foundation for doctoral thesis preparation Professor Milionis has managed numerous significant research projects including ESA SATWAYS, HTCI A/2, MIKRO2-16/En-IV, ESPRIT EROPPA, INNO-TTN, and PAVE MediaGate. He has served on Project Coordination Committees for ICT-FET ATRACO, CELTIC IMPULSE/GENIO, Eurostars Z-Phone/NetHomEra, ENIAC END, AAL PeerAssist, and Tender III/98/028 Tetramed projects. He has also evaluated research programs for the GSRT and the Hellenic National Research Council. He has over 90 publications in international scientific journals and conferences, and developed widely implemented software for an ATM device driver for the PowerQUICC-II communications processor architecture.
Fahad Ahmad is a Lecturer in the School of Computing within the Faculty of Technology at the University of Portsmouth. He holds affiliations with the Portsmouth AI and Data Science Centre, Centre for Cybercrime and Economic Crime, and Portsmouth Centre for Advanced Materials and Manufacturing. His research focuses on machine learning applications in healthcare, cybersecurity, and quantum computing. He supervises PhD students in topics like quantum machine learning for securing IoT medical devices. Key research areas include: Medical imaging diagnostics using deep learning (e.g., echocardiograms, X-rays) Cybersecurity for financial systems and SDN-NFV networks Quantum key distribution for post-quantum security AI-driven health management systems Recent work emphasizes: Human activity recognition through machine learning Cancer subtype classification using RNA expression data Emotional empathy modeling in intelligent agents His articles span healthcare technology, cybersecurity frameworks, and hybrid AI architectures. He actively contributes to international conferences and journals, with over 60 peer-reviewed publications. Research collaborations include institutions in Pakistan and the UK.
Hyong Kim is the Drew D. Perkins Chaired Professor of Electrical and Computer Engineering at Carnegie Mellon University (CMU) and Director of CMU-Thailand. He has been at CMU since 1990, leading research in network architectures, fault-tolerant systems, and cloud computing management. His work includes the Tera ATM switch architecture licensed to AMD and Samsung, and he has founded startups like Scalable Networks and AcceLight Networks. Education: B.Eng. (Honours), Electrical Engineering, McGill University (1984) M.A.Sc., Electrical Engineering, University of Toronto (1987) Ph.D., Electrical Engineering, University of Toronto (1990) Research focuses on scalable network architectures, distributed computing, and logistics optimization through Smart Logistics software. His team’s work with ThaiBev aims to reduce operational costs and enhance anomaly detection in supply chains. Scientific achievements include over 130 publications and 10 patents. In 2019, his team won the Best Paper Award at the IEEE Conference on Blockchain for their work on Bitcoin attack detection. Advising and collaborations: Advises PhD and master’s students through CMU-Thailand and leads international initiatives like CyLab Korea. Current projects include smart infrastructure development and blockchain applications. Labs/Teams: Directs CMU-Thailand and collaborates with King Mongkut’s Institute of Technology Ladkrabang (KMITL) in Thailand. Affiliated with CyLab and Carnegie Mellon-Portugal.
