Steve Muylle is a Full Professor of Digital Strategy and Business Marketing at Vlerick Business School and Ghent University, and serves as Associate Dean Digital Learning. His expertise spans digital transformation, B2B marketing, and leveraging technologies like AI, blockchain, and IoT. He holds a Doctor in Business Engineering from Solvay Management School and has held visiting roles at SMU’s Cox School of Business and Vanderbilt University’s Owen Graduate School. Education: PhD in Business Engineering (Solvay Management School) Visiting Doctoral Researcher (Owen Graduate School of Management, Vanderbilt University) Research Interests: Digital strategy, B2B customer experience, AI-driven marketing, and digital innovation frameworks. His work emphasizes actionable insights for executives in sectors like energy, healthcare, and finance. Recent trends in his publications focus on agentic marketing, VR in education, and competitive digital innovation. Impact: Designs executive programs like the Digital Strategy Open Programme and the Executive Master Class in B2B Marketing/Sales. Recognized for contributions to digital learning and open banking strategies. Board member at multiple firms.
Donald C. Wunsch is the Mary K. Finley Missouri Distinguished Professor in Electrical and Computer Engineering at Missouri University of Science & Technology (Missouri S&T), where he directs the Applied Computational Intelligence Laboratory. He previously served as Interim Director of S&T’s Intelligent Systems Center and holds courtesy appointments in Computer Science, Systems Engineering, and Engineering Management. His research focuses on neural networks, reinforcement learning, adaptive resonance theory, bioinformatics, and robotics. Wunsch is an IEEE Fellow, INNS Fellow, and recipient of the 2015 INNS Gabor Award and 2019 Ada Lovelace Service Award. He has led numerous professional organizations, including the INNS Board of Governors and IJCNN conferences. Education: Executive MBA, Washington University in St. Louis (2006) Ph.D. in Electrical Engineering, University of Washington (1991) M.S. in Applied Mathematics, University of Washington (1987) B.S. in Applied Mathematics, University of New Mexico (1984) Research Interests: Donald’s work spans adaptive resonance systems, reinforcement learning architectures, neurofuzzy regression, robotic swarms, and bioinformatics. He emphasizes practical applications in energy systems (e.g., pumped storage hydro optimization), cybersecurity, and medical data analysis. Recent projects include Hamiltonian-driven adaptive dynamic programming and cluster validity indices for streaming data. Awards & Recognition: 2015 INNS Gabor Award INNS Senior Fellow (2007–2013) NSF CAREER Award 2019 INNS Ada Lovelace Service Award Labs & Leadership: As director of the Applied Computational Intelligence Lab, he oversees research in AI/AS applications for critical infrastructure and smart grids. He also chairs the Missouri S&T Information Technology and Computing Committee and actively contributes to interdisciplinary initiatives like the University of Missouri Bioinformatics Consortium.
Warren B. CHIK is a Full-time Associate Professor of Law at the Yong Pung How School of Law, Singapore Management University, since 2013. He holds dual qualifications as an Advocate and Solicitor in Singapore (2000) and Solicitor in England & Wales (2002), alongside academic distinctions including LL.M. degrees from University College London and Tulane University. His research focuses on Data Protection Law , Information Technology Law , and Intellectual Property Law , particularly examining intersections between copyright and data protection regulations. Current projects involve writing treatises on Information Technology Law. Selected publications span topics like Singapore's data economy, copyright enforcement, and digital jurisdiction. Awards include the British FCO (Chevening) Scholarship and multiple CALI Excellence for the Future Awards. He has served in leadership roles such as Associate Dean (External Relations) and Deputy Director at the Centre for Artificial Intelligence and Data Governance. Academic leadership: Associate Dean (2013-2017), Deputy Director (2019-2024) Advisory roles: Data Protection Academy, Australian Research Council projects, and international conferences
Mario Baldi is a researcher affiliated with the Polytechnic University of Turin, Italy , with significant contributions to computer networking , distributed systems , and software-defined networking . Key research themes: network function virtualization , programmable dataplanes , time-driven scheduling , and traffic analysis . Recent work focuses on RDMA-enabled compute offloading (2023) and DNN inference in network data planes (2023). Longstanding expertise in multicast routing , voice/data packet efficiency , and XML-based protocol parsing (2000–2006). Collaboration network includes Yoram Ofek , Fulvio Risso , and Han Hee Song , with 99+ publications spanning 1994–2023.
Ariful Azad serves as an Associate Professor in the Department of Computer Science & Engineering at Texas A&M University, where he leads research at the intersection of high-performance computing and graph analytics. His work focuses on developing scalable algorithms for graph machine learning with applications in bioinformatics and security informatics. Educational Background: Ph.D. in Computer Science, Purdue University (2014) B.S. in Computer Science and Engineering, Bangladesh University of Engineering and Technology (2006) Research Focus: Dr. Azad specializes in high-performance graph algorithms , particularly for distributed-memory systems. His pioneering work includes the Combinatorial BLAS library and novel approaches for graph neural networks (GNNs), with emphasis on explainability through Shapley values and optimization of sparse matrix operations. His bioinformatics research tackles large-scale metagenomics challenges through projects like Exabiome. Publication Trends: Recent publications (2023-2025) reveal three dominant themes: (1) Scalable GNN explanation frameworks using distributed Shapley values, (2) High-performance sparse linear algebra for graph embeddings and knowledge graphs, and (3) Bioinformatics applications in metagenomics and network alignment. His work consistently bridges theoretical algorithm development with practical implementations for exascale systems. Scientific Recognition: NSF CAREER Award (2024) for foundational contributions to scalable graph algorithms Indiana University Trustee's Teaching Award (2024) U.S. Department of Energy Early Career Award (2021) Research Leadership: As principal investigator for multiple federal grants, Dr. Azad directs projects advancing graph analytics at extreme scales. His work on Weapons of Mass Destruction knowledge graphs demonstrates applied security research, while Exabiome represents significant contributions to computational biology. He actively develops open-source tools like PLANETALIGN for network analysis benchmarking, fostering reproducibility in computational science.
Professor Iain Suthers is a Professor at the University of New South Wales in the School of Biological, Earth & Environmental Sciences . He is based at the Sydney Institute of Marine Science , a collaborative hub involving Sydney-based universities and government agencies. His career spans 34 years at UNSW since 1991, following a PhD in Canada and postdoctoral work in Norway and Australia. Key Research Themes Marine ecosystem dynamics influenced by the East Australian Current Larval fish ecology and connectivity Zooplankton size spectra and carbon transport Artificial reef ecology and fish passage solutions Climate change impacts on marine and estuarine systems Leadership Inaugural Chair of NSW-IMOS (2007–2012) Currently leads the IMOS Larval Fish Monitoring subfacility Methodology Oceanographic field campaigns Long-term biodiversity databases Ecological modelling Collaborative research with 6 PhD students and colleagues Recent Publications emphasize biophysical interactions in western boundary currents, larval fish recruitment, and innovative fish passage designs like the Tube Fishway. His team contributes to global databases (e.g., BioTIME 2.0) and conservation-focused studies on fish migration fragmentation and crab ecology.
Rafail Ostrovsky is a Distinguished Professor of Computer Science and Mathematics (by courtesy) at UCLA's Henry Samueli School of Engineering and Applied Science. He holds the Norman E. Friedman Chair in Knowledge Sciences and serves as Director of the Center for Information and Computation Security. With over 350 refereed publications and 15 issued USPTO patents, he is one of the most influential researchers in theoretical computer science and cryptography. Professor Ostrovsky's research spans cryptography, network algorithms, and search and classification of large-scale, high-dimensional data. His work focuses on foundational aspects of secure computation including zero-knowledge proofs, secure multi-party computation, private information retrieval, and privacy-preserving data analysis. His contributions to streaming algorithms, metric embedding, and clustering for high-dimensional data have established important theoretical frameworks with practical applications. He has pioneered techniques for secure computation that maintain privacy while enabling collaborative data analysis. His recent publications demonstrate continued leadership in advancing secure computation protocols, with emphasis on efficiency improvements, practical implementations, and novel applications in blockchain technology and distributed systems. His work consistently addresses fundamental theoretical challenges while maintaining relevance to real-world security problems, bridging the gap between theoretical cryptography and practical security solutions. Selected Honors: 1993 Henry Taub Prize 2017 IEEE Computer Society Edward J. McCluskey Technical Achievement Award 2018 RSA Award for Excellence in Mathematics 2022 W. Wallace McDowell Award (the highest award given by the IEEE Computer Society) Professor Ostrovsky has served in significant leadership roles including chair of the IEEE Technical Committee on Mathematical Foundations of Computing (2015-2018) and chair of the IEEE FOCS 2011 Program Committee. He has served on over 40 international conference program committees and currently serves on the editorial boards of the Journal of ACM and Algorithmica Journal. As a Fellow of the National Academy of Inventors, AAAS, ACM, IEEE, and IACR, and as a foreign member of Academia Europaea, his contributions have been widely recognized across multiple disciplines. He actively teaches advanced courses including Introduction to Cryptography (CS183), Foundations of Cryptography (CS282A/M209A), and Cryptographic Protocols (CS282B/M209B), mentoring the next generation of security researchers while continuing to push the boundaries of secure computation through his research.
Dr David Walker is a Senior Lecturer in Computer Science at the University of Exeter and a member of the Institute for Data Science and Artificial Intelligence . He also contributes to the Environmental Intelligence @Exeter research network. Education: PhD in Computer Science, University of Exeter (2008–2013) BSc (Hons) in Computer Science, University of Exeter (2004–2007) Research Interests Dr Walker’s work sits at the intersection of multi-objective optimisation , evolutionary computation , explainable AI and hyper-heuristics . He develops algorithms and visual analytics that help engineers and scientists understand complex optimisation landscapes, with recent emphasis on renewable-energy planning (especially offshore wind farms) and trustworthy AI systems. Publication Trends Between 2022 and 2025 he produced a prolific stream of articles on explainable optimisation , many-objective wind-farm design and visual analytics for evolutionary algorithms . These works combine rigorous algorithmic innovation with real-world case studies, demonstrating a clear trajectory toward transparent, human-centred AI for engineering decision-making. Scientific Awards No specific awards or fellowships are mentioned in the provided material. Advising & Funding No explicit list of PhD students, post-docs or grant awards is supplied. Laboratory & Teams Dr Walker is affiliated with the Institute for Data Science and Artificial Intelligence and the Environmental Intelligence @Exeter network, indicating collaborative, interdisciplinary research environments.
Professor Andy Baker is a leading academic at the School of Biological, Earth and Environmental Sciences , UNSW Sydney. With a career spanning over three decades, he has also held prestigious positions at the University of Birmingham, University of Newcastle upon Tyne, and University of Exeter. PhD in Speleothem Growth Rate and Paleoclimate, Bristol University (1990-1993) BSc (Hons) in Geographical Science, Bristol University (1987-1990) His research focuses on the intersection between geology and water , utilizing stalagmites to reconstruct past climates, groundwater recharge patterns, and fire history. He specializes in isotopic and geochemical techniques for analyzing organic matter in natural and human environments, from groundwater systems to drinking water quality. Recent publications highlight interdisciplinary applications of stalagmite analysis in climate science, fire history reconstruction through geochemical signatures , and groundwater recharge modeling using cave drip water networks. His work spans from Mediterranean karst systems to sub-Antarctic lakes , with a focus on global environmental change and hydrological sustainability . Awardees include: Clarke Medal for Geology (2023) Fellow of Royal Society of NSW (2024) Over $75 million in successfully managed research grants He currently supervises PhD students in projects related to climate modeling , groundwater sustainability , and karst hydrology . His outreach includes regular media engagement with ABC, The Conversation, and international cave science training programs.
Rhongho Jang is an Assistant Professor in the Department of Computer Science at Wayne State University's College of Engineering. He holds a PhD from the University of Central Florida and directs the Networked Intelligence and Distributed Security (NIDS) Lab. His research advances security and privacy in distributed systems, networks, and AI. Research spans cybersecurity, AI security, network algorithms, and distributed systems, with applications in intrusion detection, malware analysis, and in-network computing. Recent publications focus on data plane security, adversarial ML, and IoT security. Awards include NSF grants (2022-2023), Best Paper Award at DSN 2021, and KISA's Outstanding Young Researcher (2018). Current PhD advisees include Seyed Mohammad Mehdi Mirnajafizadeh, Seungsam Yang, Fatima Kamal Khaja, and Sian Kim. Manages NIDS Lab with projects on cyber-physical security and in-network computing.
Marco Aldinucci is a Full Professor and Head of the Parallel Computing group at the University of Torino's Computer Science Department. He leads the HPC Key Technologies and Tools (HPC-KTT) national lab under CINI, involving 38 Italian universities. His expertise spans parallel programming models, HPC systems, federated learning, and energy-efficient computing. Aldinucci has secured over €10M in EU research funding, contributed to frameworks like Fastflow and Streamflow, and pioneered initiatives like the HPC4AI lab and the CINI HPC-KTT lab. His research focuses on advancing exascale computing, cloud-HPC integration, and AI-driven medical solutions. Notable projects include the Gaia AVU-GSR solver for exascale systems and the DeepHealth Toolkit for medical AI. He has held governance roles in EuroHPC and chairs the Observatory on Trends and Applications of Supercomputing in Italy. Aldinucci’s publications (150+) address parallel algorithms, distributed learning, and sustainable HPC infrastructure. His work has been recognized with awards from HPC Advisory Council, NVIDIA, IBM, and Autodesk. Current initiatives include the Software & Integration lab at the Italian National HPC Centre (ICSC) and leadership in the OpenScience working group at Torino. His advising includes Iacopo Colonelli, whose thesis won CINI’s 2023 best award. He actively engages in EU projects, workflow systems, and standards for hybrid computing environments. Aldinucci’s labs and collaborations drive innovations in HPC portability, energy efficiency, and AI scalability.
Chenjuan Guo is an Associate Professor at the Department of Computer Science, Aalborg University, within The Technical Faculty of IT and Design. She is affiliated with the Data Engineering, Science and Systems group and the AI for the People initiative, and is part of the Daisy - Center for Data-intensive Systems. Her research focuses on machine learning, data engineering, spatio-temporal data analysis, and time series forecasting. Key projects include the Villum Foundation-funded 'Explainable AI for Complex Microbial Community Interactions and Predictions' (2021-2024) and the Astra project on time series analytics in spatial networks (2018-2021). Her research interests span representation learning, autoencoders, path representation, outlier detection, trajectory data analysis, and time series modeling. She has supervised 3 PhD students and contributed to over 60 publications, with a recent emphasis on transformer-based forecasting, neural architecture search, and continuous learning frameworks for spatio-temporal data. Her work bridges theoretical advancements with practical applications in environmental science, cloud computing, and urban mobility systems. Key achievements include developing frameworks like AutoCTS++ for automated time series forecasting and LightGTS for lightweight models. She actively collaborates internationally, contributing to conferences like ECML PKDD and CVPR. Her research is supported by grants from the Villum Foundation and other institutions.
Ivano Bilenchi is a postdoctoral researcher at the Polytechnic University of Bari's Information Systems Laboratory (SisInf Lab). He holds a Master's in Computer Science Engineering (2020) and a Ph.D. in Electrical and Information Engineering (2024) from the same institution. His research focuses on AI, Semantic Web technologies, edge computing, and IoT applications, with notable contributions to embedded OWL reasoners and cloud-edge intelligence frameworks. He teaches courses such as Formal Languages and Compilers, Secure Programming, and Information Systems Security. His work bridges academic research with practical applications, including iCleaner (iOS system cleaner), Tiny-ME (Semantic Web reasoner), and AI-LMD (fleet optimization tool). He actively participates in conferences like ICWE and I-CiTies, and has contributed to initiatives like the sustainable development project HowtUyoga. His awards include a First Prize at the Sustainable Development Festival (2018). Research highlights include developing Cowl (lightweight OWL library for edge devices) and proposing innovative architectures for cloud-edge AI in sensor networks. Collaborations span semantic blockchain marketplaces (RideMATCHain) and UAV autonomy using knowledge representation.
Hilde Van den Bulck is a Professor of Communication at Drexel University , where she serves as Department Head of the Department of Communication. Previously, she held leadership roles at the University of Antwerp, including Professor of Communication Studies, Associate Dean of Research, and Dean of Social Sciences. Education PhD in Social Sciences, KU Leuven (2000) MA in Mass Communication, University of Leicester (1991) MA in Communication Studies, KU Leuven (1989) Her research bridges media structures/policies and media culture , focusing on algorithmization, datafication, platformization, and their impact on public service media (PSM). She examines trust in digital media, media policies for digitized ecologies, and the intersection of celebrity culture with activism, philanthropy, and political movements like BLM and populism. Recent publications highlight her work on PSM adaptation to digital economies, celebrity activism, and algorithmic governance. She has contributed to journals like Media and Communication and Celebrity Studies , often linking media systems to neoliberal dynamics and societal debates.
Patricia Clayton, Ph.D., PE, is an Associate Professor specializing in structural and natural hazards engineering. Her office is located at 455 Vine Street, Bldg 60 South, Rm 4512, and she can be reached via phone at 336.702.1924. She holds a B.S. in Civil Engineering from North Carolina State University (2007), an M.S. (2010) and Ph.D. (2013) in Civil Engineering from the University of Washington. Her research focuses on: Hazard-resistant structural technologies Multi-scale modeling of natural hazard impacts Applications of 3D printing in construction Computational modeling and data analysis Small-scale structural testing methodologies She maintains active investigations in earthquake engineering and structural resilience. Recent publications (2022-2025) demonstrate three primary research streams: Structural Seismic Performance : Innovations in steel connections, composite systems, and deployable structures Engineering Education : Remote teaching pedagogy and inclusive curriculum development Disaster Technology : AI-enhanced damage assessment and field instrumentation Her work consistently integrates experimental validation with practical applications.
