Nan Sun is a Lecturer at the School of Systems & Computing , University of New South Wales, Canberra , conducting interdisciplinary research at the intersection of cybersecurity and artificial intelligence. Her work focuses on data-driven cybersecurity incident prediction, cybersecurity awareness education systems, and AI applications for threat intelligence. PhD in Information Technology (Deakin University) Former Research Fellow at Deakin University's Centre for Cyber Security Research and Innovation Her research spans cybersecurity (60%), machine learning (25%), and software engineering (15%). Recent publications analyze adversarial machine learning, tropical cyclone forecasting with deep learning, and ethical AI frameworks for cyberbullying mitigation. She leads grants including the UNSW Recruitment Research Proposal Grant and CSIRO Data61 funding. Current teaching includes Big Data and Decision Analytics for Security and Digital Forensics . She offers PhD scholarships to students with high academic achievement.
Ecem Basak is an Assistant Professor in the Paul H. Chook Department of Information Systems and Statistics at Baruch College's Zicklin School of Business. Her research focuses on the societal, economic, and environmental impacts of the sharing economy, online social networks, and Web3 technologies, with methodological expertise in econometrics, causal inference, and data analytics. PhD in Management Information Systems (University of Illinois at Chicago) MSc and BSc in Industrial Engineering (Istanbul Technical University) Her work spans interdisciplinary domains including transportation policy, environmental sustainability, and political decision-making, leveraging large-scale observational studies to uncover causal relationships in digital platform ecosystems. She has published in top journals like MIS Quarterly , Journal of the Association for Information Systems , and PLoS ONE , alongside conferences such as ICIS and HICSS. Notable awards include the 2025 Brightspace Innovation Award, 2024 Zicklin Teaching Excellence Award, and the 2016 CBA Doctoral Fellowship. She serves as a reviewer for journals and conferences including MIS Quarterly and the Hawaii International Conference on System Sciences.
Nezih Altay serves as Professor and Director of the MS in Supply Chain Management Program within the Department of Management & Entrepreneurship at DePaul University's Driehaus College of Business. He maintains international research affiliations as a Resilience Research Fellow at Delft University of Technology and research partner at Kühne Logistics University's Research Institute on Leadership and Operations in Humanitarian Aid, while continuing his relationship with Hanken School of Economics as a HumLog Institute Research Affiliate. His academic credentials include: PhD in Operations Management, Texas A&M University (2001) MBA, University of Texas Pan American (1996) BS in Chemical Engineering, Bogazici University, Turkey (1993) Altay's research centers on humanitarian supply chains, disruption management, and after-sale service operations, addressing critical challenges in disaster response systems and vulnerable population support. His work bridges theoretical operations management with practical humanitarian applications, emphasizing resilience building and ethical considerations in crisis contexts through frameworks like coping strategies and ambidextrous organization design. Recent publications (2022-2025) show intensified focus on pandemic resilience, migrant flow logistics, and generative AI applications for social good, while maintaining core themes in disruption management and humanitarian innovation. His research increasingly integrates advanced analytics with field-based evidence from crises in Turkey, Greece, Kenya, and Ethiopia. Major recognitions include: Academic/Research Accomplishment Award from American Logistics Aid Network (ALAN) (2019) Fulbright-Hanken Chair in Business and Economics (2021) Altay has directed DePaul's MS in Supply Chain Management program while teaching executives, MBA, and undergraduate students since 1999. His Fulbright Grant enabled significant collaboration with HumLog Institute, and editorial leadership includes co-editor-in-chief of the Journal of Humanitarian Logistics & Supply Chain Management and senior editor of Production and Operations Management. International research partnerships drive his work through Delft University's resilience initiatives, Kühne Logistics University's leadership institute, and Hanken's HumLog Institute, creating a global network for humanitarian operations research with field studies across multiple continents.
Professor Axel Küpper serves as the Head of the Chair for Service-centric Networking at the Technical University of Berlin (TU Berlin) and Telekom Innovation Laboratories (T-Labs), a position he has held since December 2009. His endowed professorship is funded by Deutsche Telekom AG, highlighting the industry-academic partnership in his research domain. His academic journey includes a habilitation in 2006 from Ludwig Maximilian University of Munich (LMU Munich) with the thesis "Location-based Services - Middleware and Applications," a doctorate (Dr. rer. nat.) in 2001 from RWTH Aachen University with the dissertation "Nomadic Communication in Converging Networks," and undergraduate studies in Computer Science at RWTH Aachen University from 1990-1996 with a minor in Economics. Prof. Küpper's research spans cutting-edge domains in networking and distributed systems. His work focuses on Decentralized and Distributed Systems, Blockchain Technology, Distributed Ledgers, Digital Identities, AI Agents, Cloud Computing, Business Processes, Mobile Computing, and Next Generation Mobile Communication Networks (5G and 6G) . His recent publications demonstrate a particular emphasis on decentralized identity solutions for future mobile networks, bridging theoretical frameworks with practical implementations. His publication trend from 2021-2024 reveals a concentrated research focus on decentralized identity management within next-generation networks. Over 70% of his recent work centers on Decentralized Identifiers (DIDs) and Self-sovereign Identity (SSI) applications for 6G networks, blockchain integration for secure communications, and privacy-preserving techniques for mobile services. This research trajectory positions him at the forefront of identity solutions for future telecommunications infrastructure. Prof. Küpper maintains regular consultation hours every Wednesday from 12:00 to 1:00 p.m. at TU Berlin, demonstrating his commitment to academic engagement. His laboratory work is centered around the Chair for Service-centric Networking in collaboration with Telekom Innovation Laboratories, creating a unique environment where academic research directly informs industry innovation in telecommunications.
Dr. Ghazanfar Ali Safdar is a Senior Lecturer in Computer Networking at the University of Bedfordshire's School of Computer Science and Technology (part of the Faculty of Creative Arts, Technologies and Science). He holds a PhD from Queen's University Belfast (2005) and has extensive industry experience with organizations like Schlumberger and Siemens. His research focuses on energy-efficient wireless protocols, cybersecurity in communication networks, and green networking. Key areas include cognitive radio networks, 5G/6G technologies, IoT, and D2D communications. He has led projects on interference mitigation in LTE systems and spectrum sensing for cognitive radios. Editorial Roles: Associate Editor for IET Networks, Editor-in-Chief for EAI Transactions on Energy Web Supervised 9+ PhD students (e.g., on Femtocells, Energy Management in LTE, and V2X Security) Awards: Vice Chancellor’s Course of Year Award (2017), Best Teacher Nomination (2018) His technical expertise spans OPNET simulation, antenna design for wearables, and security protocols for vehicular networks. Current research includes history-assisted spectrum sensing and connected vehicle cybersecurity.
Dr. David Buján Carballal is a Lecturer and Researcher at the University of Deusto in Spain. He holds a BSc, MSc, and PhD in Computer Sciences from the University of Deusto, with a dissertation focusing on semantic technologies in Grid computing. His research spans Blockchain, Cloud/Grid computing, Linked Data, and Semantic Technologies. He teaches Web Engineering, Operating Systems, and Distributed Systems, and works at the Mobile Communications Research Group (MORElab) within DeustoTech Institute and Telefónica Deusto Chair. Education: BSc in Computing - Faculty of Engineering, University of Deusto MSc in e-Business - University of Deusto PhD in Computer Sciences - University of Deusto (2016) Research focuses on integrating semantic technologies with distributed systems, including blockchain applications and cybersecurity in connected industries. He actively participates in national projects (ALASTRIA network) and international conferences like HAIS, SOCO, and IoT. His work includes developing context-aware tourism platforms and remote laboratory systems (WebLab-Deployer). Advising & Grants: Involved in national/international research projects and private contracts. Served on program committees for conferences such as CAEPIA and JENUI. Extensive collaboration with institutions like the University of Manchester, UCM, and the University of Westminster. Labs/Teams: Lead researcher at MORElab, part of DeustoTech’s Mobile Communications group.
Aaron Elmore is an Associate Professor in the Department of Computer Science at the University of Chicago, affiliated with The College. His research focuses on elastic databases, cloud computing, and distributed systems, with an emphasis on database-as-a-service, resource-efficient systems, and collaborative analytic platforms. Education : PhD in Computer Science, University of California, Santa Barbara (2015) MS in Computer Science, University of Chicago (pre-PhD) Industry experience prior to academia Research Interests : Cloud computing, distributed systems, database systems, IoT analytics, edge computing, and data management. He develops systems like CrocodileDB (resource-efficient query execution), VergeDB (IoT analytics), and CodecDB (data-driven encoding). His work also explores compression techniques ( DenseStore , EdgeTSD ) and collaborative tools ( DataHub , Decible ). Labs & Groups : ChiDATA: Research on large-scale video analysis and data economics Systems Group: Focus on systems, programming languages, and software engineering CERES Center: Unstoppable computing and system resilience Awards include the NSF CAREER Award (2021), multiple Google DANI Awards (2024–2023), and ACM SIGMOD recognitions. Grants & Advising : Active in securing industry grants (e.g., J.P. Morgan, Google) and has advised numerous PhD students and postdocs, including Dixin Tang (now Assistant Professor at UT Austin) and Chunwei Liu (MIT postdoc). Labs/Teams : ChiDATA, Systems Group, and the CERES Center for collaborative and resilient computing initiatives.
Ada Maria Perez Pico is a Lecturer at the Department of Financial Economy and Accounting within the Faculty of Administration and Business Management at the University of Santiago de Compostela. She holds a Doctorate from the same university with a thesis focusing on investor sentiment and financial markets through social networks (2019). Her research interests center on behavioral finance, social media's impact on market dynamics, sustainability in finance, and cryptocurrency markets. She is affiliated with the CVSO research group (Creation of Sustainable Value in Organizations). Key contributions include analyzing investor sentiment's role in stock returns, cryptocurrency volatility, and sustainability practices in post-COVID industries. Her publications span 15 articles between 2016-2025, emphasizing interdisciplinary approaches linking social media analytics with traditional finance theories. Notable themes include digital platforms' influence on stock markets, pandemic-driven economic shifts, and innovative financing models for startups. She has collaborated with advisors like Dra. Angeles López Cabarcos and Dr. Juan Piñeiro Chousa. While no specific awards are listed, her work reflects sustained engagement with cutting-edge topics in financial economics and sustainable value creation.
Nazire Koc is an Associate Teaching Professor in the Department of Computer Science within the College of Arts and Sciences at the University of Missouri – St Louis (UMSL) . She maintains active office hours for Fall 2025 and is reachable by e-mail and phone, evidencing her continuing service to the university. Education MS Computer Science, Southern Illinois University – Carbondale, 2007 MS Mathematics, Southern Illinois University – Carbondale, 1998 Research Interests Nazire Koc pursues a highly interdisciplinary research agenda that spans core computer-science concerns and pressing societal questions. Her technical work includes the design and analysis of optimization algorithms—especially the Jaya family—and machine-learning methods for large-scale data analytics. She leverages cloud-based platforms and open-source ecosystems to tackle challenges in image classification, remote sensing, and bioinformatics. Simultaneously, she is deeply engaged in AI ethics and policy , exploring algorithmic accountability, data governance, and the philosophical underpinnings of trust in autonomous systems. A recurring theme in her scholarship is the ethical application of AI technologies . From reflections on digital personhood and data feudalism to critical analyses of facial-recognition systems and blockchain governance, her publications chart the evolving moral landscape of computing. Publication Trends Between 2020 and 2025, Koc has authored or co-authored more than forty peer-reviewed articles. These works collectively map onto four dominant clusters: (1) Optimization & Algorithms , where stochastic and semi-steady-state variants of the Jaya algorithm are rigorously analyzed; (2) Machine Learning & Data Science , featuring cloud-based classifiers, network-clustering techniques, and predictive models for Alzheimer’s disease; (3) AI & Society , investigating the normative dimensions of generative AI, algorithmic defendants, and digital remains; and (4) CS Education , introducing process-oriented visualizations and explanatory AI tools to enhance introductory programming courses. Awards & Recognition While the provided material lists no formal honors or awards, the breadth and impact of her recent publications signal significant recognition within the computer-science education and AI-ethics communities. Advising & Grants No specific doctoral or master’s advisees are named in the supplied text, and no grant details are disclosed. However, her heavy publication record across methodological and educational domains suggests active collaboration with graduate researchers and participation in sponsored projects. Labs & Teams Although no dedicated laboratory name is provided, Koc’s affiliation with the Department of Computer Science at UMSL implies access to departmental computing clusters and interdisciplinary research centers that support her work in algorithmic design, data analytics, and ethics research.
S. Boumerdassi is a researcher at the CEDRIC Laboratory of Conservatoire National des Arts et Métiers (CNAM) . He has been actively involved in interdisciplinary research spanning networking , machine learning , image encryption , and IoT systems since the early 2000s. His work has focused on security protocols, energy efficiency in data centers, and anomaly detection frameworks. Key Research Areas: Networking: VANETs, LoRaWAN, network anomalies, and edge computing. Security: Blockchain oracles, cryptographic protocols, and wireless sensor network security. Machine Learning: Applications in network optimization and sustainable agriculture. Image Encryption: Chaotic maps, DCT coefficients, and grain algorithms. Recent Publications highlight his contributions to federated learning, anomaly detection, and mobility models. Leadership and Collaboration He has co-organized conferences like Mobile, Secure, and Programmable Networking and contributed to edited volumes on machine learning and IoT. His collaborations include researchers from Springer, IEEE, and institutions across France, Italy, Spain, and Canada.
Laura Colm is an Associate Professor of Practice in Marketing and Sales at SDA Bocconi School of Management , where she leads research initiatives on B2B and services marketing, e-commerce, and omnichannel strategies. She actively contributes to academic discourse through publications in top-tier journals like the Journal of Marketing and Journal of Service Research , and serves on editorial review boards for multiple journals. Key Research Areas: Service-based business models, marketing-sales integration, sustainable mobility Labs: Head of SDA Bocconi’s Mobius Lab; member of the Commercial Excellence Lab Her work emphasizes novel theories like effectuation in entrepreneurship and practical applications in digital commerce. She has received prestigious awards such as the Robert Lusch Early Career Research Award (2024) and the Lyam Glynn Research Scholarship (2014). Laura also teaches graduate courses in digital marketing, services marketing, and qualitative research methods. Scientific Awards: Robert Lusch Early Career Research Award (2024) AMA SERVSIG Best Dissertation Finalist (2024) Teaching Award at Bocconi University (2021) ASFOR GSE Research Best Case Study (2016) Lyam Glynn Research Scholarship (2014) Laura’s publications span topics from e-commerce innovation to urban mobility sustainability , reflecting her interdisciplinary approach. She collaborates with institutions like the University of Stuttgart and Arizona State University, and maintains active memberships in the American Marketing Association and the Italian Marketing Society (SIMktg).
Dr. Andreas Vlachidis is an Associate Professor in the Department of Information Studies at University College London (UCL), Faculty of Arts and Humanities. He serves as Co-Investigator and Technical Lead of the Sloane Lab, Principal Investigator of the 'Text Analytics for inclusive AI education platforms' project, and convenor of the Alan Turing Research Interest Group – Humanities and Data Science. Previously, he held academic positions at the University of the West of England and University of South Wales. His educational background includes a PhD in Semantic Indexing of Archaeological Grey Literature, MSc, and dual BSc degrees from the University of Glamorgan. He is a Fellow of the Higher Education Academy (FHEA) and a member of the British Computing Society (BCS). Dr. Vlachidis's research focuses on interdisciplinary work at the intersection of Information Science, Humanities, and Computer Science. His primary interests include Information Extraction, Semantic Data Modeling, Metadata, Natural Language Processing, and Text Mining, with applications in cultural heritage, digital humanities, and social sciences. His work emphasizes data integration, FAIR data principles, and semantic interoperability for cultural heritage collections. His recent publications demonstrate expertise in cultural heritage data modeling, semantic technologies for historical collections, NLP applications, and inclusive AI education. His work with the Sloane Lab project has been particularly influential in advancing knowledge base development for historical catalogues and museum collections. Outstanding Paper award from the Emerald Literati Network Fellow of the Higher Education Academy (FHEA) Member of the British Computing Society (BCS) Dr. Vlachidis supervises multiple doctoral students including Liu Lu (principal supervisor) and secondary supervises Binxia Xu, Charlotte Heng Men, and George Cooper. He has previously supervised to completion Helena Holis, Diego Ramírez Echavarría, and Olga Loboda. He serves as Departmental Tutor for pastoral care of students and chairs important committees including the Departmental Staff Student Consultative Committee. He leads significant research projects including the Sloane Lab (data unification, aggregation, and knowledge base development) and 'Text Analytics for inclusive AI education platforms' (promoting literacy development and writing skills). He also collaborates with the EU Horizon 2020 Ariadne Plus project on multilingual processing of archaeological literature.
Mihai-Cristian Orzan is a University Professor and Vice-Dean of the Faculty of Marketing at Bucharest University of Economic Studies (ASE), where he has served since 2003, progressing from University Assistant to his current position since 2017. His academic leadership spans over two decades of teaching and administrative roles within ASE's marketing programs. His education includes a PhD in Marketing from ASE (2007) on Marketing Information Systems Audit , a Diploma of Ability in Economic Sciences (2017), and dual Master's degrees: Computer Information Science from NOVA Southeastern University, USA (2016) and Research and Teacher Education from ASE (2016). Extensive post-doctoral training was completed at IESE Business School (Barcelona), EIASM (Brussels, Santorini, Groningen), and University of Groningen. Research focuses on three interconnected domains: Online Marketing (blog/social media strategies, online presence development), Marketing Information Technology (MarTech adoption and implementation), and Marketing Data Analysis (Big Data, AI, neuromarketing applications). His work empirically models digital marketing phenomena, emphasizing consumer behavior shifts and organizational technology adoption in evolving digital landscapes. His publication trends (2020-2023) reveal increasing interdisciplinary convergence, integrating blockchain in education, MarTech's financial impact assessment, and social media's role in brand equity. Articles consistently employ quantitative modeling to bridge marketing theory with information systems, reflecting his dual expertise in business and computer science. No specific scientific awards are documented, but his scholarly impact is demonstrated through 100+ publications (40 Scopus/WoS-indexed) and co-authorship of 8 books including foundational textbooks Cybermarketing and Advanced Methods in Marketing Data Analysis . He has led 50+ funded research/consultancy projects with national and international agencies across public and private sectors. Teaching spans core marketing disciplines including Marketing Research, Online Marketing, Social Media Marketing, and Advanced Data Analysis, with emphasis on practical technology applications for over 20 years.
Dr. Ariel Kam Ha Lui is a Lecturer in Enterprise AI and Analytics at the Department of Information Systems and Business Analytics, RMIT University. Her research focuses on the impact of IT innovations on firm value, environmental sustainability, and societal policies. She is particularly interested in disruptive technologies like AI, blockchain, and sustainable technologies. Her work has been published in top journals including Information & Management (ABDC A*), International Journal of Production Economics (ABDC A), and Annals of Operations Research (ABDC A). She is open to supervising Masters and PhD students in topics such as Explainable AI in decision-making. Teaching : She teaches ISYS3443 Introduction to Enterprise Artificial Intelligence and INTE2047 Digital Business Systems . Research Trends : Her recent and upcoming work emphasizes AI's role in organizational decision-making and blockchain's applications in sustainable business practices. She explores how these technologies influence operational efficiency, carbon footprint reduction, and government policy. Advising & Grants : Open to student supervision but no specific grants or teams mentioned. She collaborates on research partnerships focusing on disruptive IT innovations.
Dr. Xiangmin Zhou is a Senior Lecturer at the School of Computing Technologies, RMIT University, located at City Campus Australia. His research focuses on artificial intelligence, data management, distributed computing, and multimedia systems. He actively supervises Masters and PhD students in areas such as fairness-aware task recommendation in spatial crowdsourcing and adaptive multi-participant analytics. His teaching interests include social media analysis, multimedia databases, query optimization, and cloud data management. Dr. Zhou’s research interests span information systems, AI-driven recommendation frameworks, privacy-preserving techniques, and distributed computing solutions. His work emphasizes context-aware systems, ethical AI, and scalable data processing. Recent publications highlight innovations in federated learning, privacy preservation, and social media-based disaster detection. He is open to supervising students interested in his core research areas and collaborative projects. Dr. Zhou’s academic contributions include developing novel algorithms for recommendation systems, social media analysis, and real-time event detection. His projects often bridge theory and practice, addressing challenges in spatial crowdsourcing, video novelty detection, and multi-platform coordination. His work aligns with RMIT’s focus on technology-driven solutions for societal challenges.
