Christopher Fry serves as Senior Lecturer at the University of Westminster, teaching BA Hons Creative Media Arts and MA Art and Emerging Technologies. His academic journey includes Fine Art and Multimedia Arts studies at Liverpool School of Art and Design and a 2008 PhD from Wimbledon School of Art investigating audience roles in pervasive artworks. Fry's research centers on generative systems, exploring data as creative material and coding as generative tool with current emphasis on Generative AI's emerging vocabulary. His work critically examines visuality in virtual spaces, haptic qualities in digital lines, and the productive potential of errors in digital practice. Analysis of his 2016-2022 publications reveals consistent output at the Generative Art Conference, evolving from foundational generative techniques toward critical AI engagements. Key themes include human-system relationships in automated creation, sensory experience in digital environments, and error-driven creative methodologies. Fry actively supervises doctoral research, currently guiding Mx Ocean Stefan's project on unbodied performance in post-Covid/posthuman contexts. His teaching directly integrates research expertise in digital media and emerging technologies. Notable artistic outputs include the Radiant Eye series (2019), Manual Assembly projects (2016), and conference presentations examining visual regimes (2022), error encounters (2021), and certainty/fragility in automated creation (2020).
Adriano Jorge Cardoso Moreira is an Associate Professor with Habilitation at the Department of Information Systems, School of Engineering, University of Minho, Portugal. He holds multiple leadership roles including Scientific Coordinator of Urban Computing at Centro de Computação Gráfica and Director of the MAP-tele PhD Program. His research is conducted primarily through the Urban Computing Lab , focusing on smart place technologies. Education: PhD in Electrical Engineering (1997) and Bachelor's in Electronic and Telecommunications Engineering (1989), both from University of Aveiro, Portugal. Research Focus: His work spans indoor positioning, mobile/context-aware systems, urban computing, and wireless network simulation. Key innovations include fingerprinting algorithms for localization, multi-sensor fusion techniques, and human mobility analysis. Research outputs consistently address real-world industrial challenges such as warehouse management, factory automation, and urban infrastructure. Research Output Trends: Recent publications (2021-2023) emphasize practical applications of Wi-Fi/LoRaWAN fingerprinting, machine learning for sensor calibration, and industrial vehicle tracking. Over 70% of recent works involve experimental validation in real environments, reflecting a strong applied research focus. Key thematic clusters include radio map optimization, multi-sensor datasets, and scalability of positioning systems. Awards & Recognition: First Prize, EvAAL-ETRI Indoor Localization Competition (Off-site track, 2015 & 2017) Second Prize, EvAAL-ETRI Indoor Localization Competition (2016) IEEE Senior Member status Patent in computational geometry Projects & Funding: He leads/participates in numerous EU/national projects including: ORIENTATE (2021-2023): Low-cost indoor positioning for factories Lab4U&Spaces (2021-2023): Urban space solutions AR WARE (2018-2022): AR for warehouse management SAMU (2015-2018): Smart autonomous mobile units Lab & Team: He established/leads the Urban Computing Lab developing technologies for smart environments. Previously headed the Computer Communications and Pervasive Media Group (until 2016). Current team includes PhD/Master students working on wireless positioning and mobility analysis.
Suman Kalia serves as Associate Chair and Professor of Computer and Information Sciences at Saint Peter's University, bringing extensive industry experience from 33 years at JPMorgan Chase Manhattan Bank where he rose to Executive Director. His career bridges high-level financial technology leadership and academic instruction. His educational background includes: D.P.S. (Doctorate in Professional Studies) from Pace University M.S. in Computer Science from Pace University MBA in Finance from Rutgers University B.Sc in Biology from Guru Nanak University, India Graduate Diploma in Business from George Brown College, Toronto Professor Kalia's research centers on Cyber Security and Pervasive Computing, with doctoral work demonstrating significant operational improvements in help desk systems through asset and knowledge management frameworks. His industry expertise spans application performance testing, monitoring, capacity planning, and CI&D implementation. He teaches graduate and undergraduate courses including CY-510 Cyber Security & Risk Management, CS-298 Cyber Security Virtual Internship, and CS-496 Cybersecurity and Digital Forensics Lab. During his JPMorgan tenure, he led Commercial Banking's Application Engineering division, architecting critical technology frameworks that enhanced operational efficiency and ROI. His transition to academia focuses on developing next-generation technology leaders through practical industry-academia integration.
Ahmed Ezzeldin Khaled is an Associate Professor in the Department of Computer Science at Northeastern Illinois University (NEIU) in Chicago, USA, and a Visiting Associate Professor in the Masters Program in Computer Science at The University of Chicago since March 2024. He joined NEIU in August 2018 after completing his Ph.D. in Computer Engineering from the University of Florida. His educational background includes: Ph.D. in Computer Engineering from University of Florida (2018) M.S. in Computer Engineering from Cairo University (2013) B.S. from Cairo University Dr. Khaled's research focuses on designing systems and applications for distributed systems with the Internet of Things (IoT) as a primary use case. His work spans three main areas: smart healthcare systems and e-Health applications, location-aware services for smart spaces, and utilizing data management techniques for descriptive and predictive analytics. He has developed the Atlas IoT Framework, which includes IoT Device Description Language (IoT-DDL), Atlas Thing Architecture, and Inter-Thing Relationship Framework. His research involves software and hardware platforms from different vendors with various operating environments, focusing on creating interoperable systems for smart spaces. Analysis of Dr. Khaled's recent publications shows a strong trend toward practical implementations of IoT frameworks, particularly in healthcare applications. His work bridges theoretical concepts with real-world deployments, emphasizing context-aware systems, data pipelines, and location-based services. The research demonstrates expertise in creating frameworks that can work across different hardware platforms and communication protocols while addressing specific challenges in healthcare monitoring and smart space development. Dr. Khaled actively mentors students across multiple research domains including IoT applications, healthcare systems, and cloud architecture. His advising approach emphasizes connecting research with teaching, believing that "through the teaching process, we gain a deeper perspective of the subjects we teach and a better view on how the various concepts are linked into a 'bigger picture'." He has developed courses related to operating systems, computer networks, parallel computing, database systems, and the Internet of Things, bringing his research expertise directly into the classroom. Dr. Khaled leads the IoT & Systems Lab at NEIU, which focuses on developing practical IoT solutions for real-world applications. Current active projects include the Atlas IoT Framework for smart spaces, IoMT and Digital Healthcare systems, IoT Emulator (E-IoT) for application development and testing, and Location Based Services for smart tourism. The lab works with various hardware and software platforms to develop and test IoT applications before deployment in real environments, with a particular emphasis on healthcare applications and location-aware services.
María Belén Pérez Lancho is a Full Professor in the Department of Computer Science and Automation at the University of Salamanca, Spain. With over 25 years of academic experience since completing her PhD in 1995, she maintains active affiliations with multiple research groups including BISITE (Bioinformatics, Intelligent Computing Systems and Educational Technology), CaUSAL (Academic Culture, Heritage and Social Memory), and Process Supervision and Control. Dr. Pérez Lancho earned her doctoral degree from the University of Salamanca with her thesis "Integrated process control system: a practical approach" supervised by Dr. Eladio Sanz García. Her academic foundation in systems engineering and automation has evolved into diverse research applications across multiple domains. Her research program demonstrates remarkable breadth while maintaining technical coherence. She has pioneered context-aware multiagent systems for home care environments, developing architectures like HoCa and HoCCAC that monitor patients and optimize task scheduling. In environmental science, she created hybrid intelligent systems for forest fire prediction using Case-Based Reasoning with topology-preserving algorithms. More recently, she has addressed cybersecurity challenges in educational technology through two-factor authentication systems. Her work consistently bridges theoretical computer science with practical implementations in real-world settings. Analysis of her publication trajectory reveals a consistent focus on adaptive intelligent systems that respond to environmental changes. Her earliest work established foundations in systems engineering, which evolved into sophisticated multi-agent applications across healthcare, environmental monitoring, and security domains. The most recent publications continue this trajectory while addressing contemporary challenges in educational technology security. Dr. Pérez Lancho maintains extensive collaborative relationships, particularly with Juan M. Corchado at the University of Salamanca, as evidenced by numerous co-authored publications. Her research has been implemented in actual home care environments and environmental monitoring systems, demonstrating the practical impact of her work. Her research infrastructure includes: BISITE group focusing on intelligent computing systems and educational technology CaUSAL group examining academic culture and heritage Process Supervision and Control group applying her foundational work to industrial contexts These affiliations support her interdisciplinary approach to solving complex problems through computational methods.
Professor Kecheng Liu is a Professor of Applied Informatics and the Honourary Director of the Informatics Research Centre at Henley Business School, University of Reading. He serves as Programme Director for MSc Informatics (Beijing) and has held numerous leadership roles including founding Head of the School of Business Informatics, Systems and Accounting (2011-2016) and serving on the University Senate since 2002. Internationally renowned for his work in organizational semiotics and business informatics, Professor Liu's research spans digital strategy, enterprise information systems, business-IT alignment, and intelligent information systems. His scholarly output demonstrates expertise across healthcare, finance, environmental policy, and e-commerce domains, with particular focus on semiotics applications in AI, digital transformation, and business ecosystems. His theoretical work bridges organizational semiotics with practical business applications. His recent publications reveal a strong emphasis on trustworthy AI development, semantic interoperability in healthcare systems, and the intersection of digital transformation with environmental sustainability. These works demonstrate consistent methodological rigor while addressing pressing contemporary challenges in information systems and business strategy. Fellow of the British Computer Society Fellow of the Chartered Institute of Management Senior Fellow of the Higher Education Academy Professor Liu has secured significant research funding including a National Natural Science Foundation of China project on Big Data Driven Innovation in Healthcare (2016-2021), a British Council Newton Fund project on Economic Development in Kazakhstan (2015-2017), and an EU-funded project on E-Leadership skills for SMEs (2014-2015). He has supervised over 50 PhD students to completion and established the Informatics Research Centre as a hub for interdisciplinary research connecting business strategy with information systems. He maintains strong international connections through visiting professorships at Renmin University, Beijing Institute of Technology, Shanghai University of Finance and Economics, and Beijing Jiaotong University, facilitating cross-cultural research collaborations particularly focused on China's digital transformation.
Yu Cao, Ph.D., is a tenured full professor at the Miner School of Computer & Information Science, University of Massachusetts Lowell, where he also serves as Director of the UMass Center for Digital Health. His academic journey includes faculty positions at The University of Tennessee (2010-2013) and California State University (2007-2010), followed by a Visiting Fellowship at Mayo Clinic. Dr. Cao holds a Ph.D. in Computer Science from Iowa State University (2007), where he also earned his M.S. (2005), along with an M.Eng. from Huazhong University of Science and Technology (2000) and a B.Eng. from Harbin Engineering University (1997), all in Computer Science. His educational background includes: Visiting Fellow, Biomedical Engineering, Mayo Clinic (2007) Ph.D., Computer Science, Iowa State University (2007) M.S., Computer Science, Iowa State University (2005) M.Eng., Computer Science, Huazhong University of Science and Technology, China (2000) B.Eng., Computer Science, Harbin Engineering University, China (1997) Dr. Cao's research spans multiple domains of knowledge discovery from complex data, with particular focus on Medical Imaging, Multimodal Deep Learning, Computer Vision, Artificial Intelligence, and Digital Health. His work emphasizes intelligent, multi-modal, and data-intensive medical image analysis and retrieval; motion tracking, analyzing, and visualization; and intelligent data analysis for electronic medical records and pervasive healthcare monitoring. His research program has produced over 150 peer-reviewed publications with more than 8,000 citations and an h-index of 40+, appearing in top venues including IEEE CVPR, IJCAI, ICLR, ACM MM, and IEEE ICME, as well as prestigious journals like IEEE TNNLS, TBME, TPAMI, TSC, and JBHI. Analysis of Dr. Cao's recent publications reveals a strong focus on applying deep learning techniques to medical imaging problems, particularly in endoscopy and diagnostic imaging. His work spans multiple subfields including polyp detection in colonoscopy videos, tuberculosis detection in chest X-rays, diabetic retinopathy analysis, and food recognition systems for dietary assessment. The publications demonstrate a consistent pattern of applying cutting-edge AI techniques to solve practical healthcare challenges, with increasing emphasis on multimodal approaches and real-world deployment considerations. Dr. Cao has received numerous accolades for his work, including Best Paper Awards from ACM/IEEE CHASE (2023), IEEE IJCNN (2020), and IEEE NAS (2015). His paper was the most downloaded from Smart Health Journal by Elsevier (2017-2018), and he was recognized for having the highest number of peer-reviewed publications among faculty members in the College of Sciences (2017-2018). He was named a Senior Member of IEEE in 2013, an honor granted to only 8% of IEEE members worldwide. His research has been supported by dozens of NSF/NIH/Industry sponsored grants totaling approximately $10 million. Notable projects include NIH/NSF Award #1R01EB021900 ($1.29 million) as Principal Investigator, NSF Award #1547428 ($500,000) as Co-PI, and NSF Award #1541434 ($1 million) as Co-PI. Dr. Cao has successfully mentored numerous graduate and undergraduate students, with current advisees working on medical image retrieval, data analysis for body sensor networks, and motion tracking and visualization. He has served on organizing committees for over 30 international conferences and workshops, demonstrating strong leadership in the academic community. As Director of the UMass Center for Digital Health, Dr. Cao leads a multidisciplinary team focused on developing innovative solutions for healthcare challenges using digital technologies. His lab maintains active collaborations with medical institutions including Mayo Clinic, Harvard Medical School, and Erlanger Hospital, facilitating the translation of research findings into clinical practice. The center's work spans multiple research areas including medical video/image analysis, motion tracking and visualization, context-aware data analysis for body area sensor networks, and risk analysis for acute coronary syndromes.
Ulrik Ekman serves as Associate Professor of design and architecture at the Department of Arts and Cultural Studies, Faculty of Humanities, University of Copenhagen. His work integrates environmental humanities with urban design and digital culture to address planetary challenges in the Anthropocene through innovative sustainability and resilience frameworks. Education Background: Ph.D. in Literature, Duke University, USA (2000) Research Focus: Ekman pioneers research in Green and Blue Humanities , examining water relations, coastal resilience, and adaptive transition theories for sustainable urban infrastructures. His scholarship explores intersections of eco-art and new media through critical design aesthetics, posthumanism, and materiality studies, challenging nature-culture binaries while addressing consumer societies' ecological impacts. Publication Trajectory: Recent works (2024-2025) center on the Environmental Humanities Glossary project, developing key terms for sustainability discourse. Earlier publications (2012-2018) established foundational work in smart cities and ubiquitous computing, reflecting an evolution from digital culture studies to urgent environmental concerns across 71 research outputs. Academic Leadership: As co-leader of the Art & Earth research cluster (2021-2023), Ekman fosters interdisciplinary environmental humanities collaboration. He mentors students through courses on resilience, eco-art, and smart cities while serving on EU Horizon 2020 and Nordic research council review panels, translating theoretical work into practical urban planning applications.
Christos Skourlas is a Professor at the Department of Informatics and Computer Engineering, School of Engineering, University of West Attica (formerly Technological Educational Institute of Athens), where he has served since 1989. He holds a PhD in Informatics and a Mathematics degree from the University of Athens, with prior experience at Greece's National Documentation Center (1983-89) and NCSR "Demokritos" (1977-82). Education: B.Sc. in Mathematics, University of Athens Ph.D. in Informatics, University of Athens Research Interests: His work spans Information Retrieval, Databases, Knowledge Management, Cross Language Information Retrieval, Personalization, Medical Informatics, Assistive Technology for Students with Special Needs, Pervasive/Mobile Computing, and Security. Research emphasizes practical applications in information systems, educational accessibility, and secure mobile environments, particularly for disabled students in higher education. Projects & Grants: As coordinator and principal investigator, he led European/national R&D projects including the ESPA-funded "New Digital Services at TEI of Athens" initiative for students with special needs, which deployed the PyLes assistive platform. His laboratory work drives applied research in information management systems. Laboratory: Heads the "Data, Information and Knowledge Management (InfoDat_KM)" laboratory, serving as the central hub for his research activities, project execution, and technology development in information systems.
