Dr Holly Patrick-Thomson is a Lecturer at Edinburgh Napier University's Business School, specializing in the Human Resource Management Group. She holds a PhD from the University of St Andrews (2013) and previously served as Visiting Scholar at University of Technology Sydney. Research Focus: Changing nature of work in creative/craft sectors Primary Interests: Freelancer precarity, peer support systems, AI advisory tools Industry Collaboration: British Academy of Management SIG Chair, craft beer sector analysis Her funded projects include: £9,998 - British Academy: Freelance Advisor App £5,000 - AHRC: AI for Creative Freelancers £5,000 - University of Edinburgh: Pandemic response in creative industries $20,000 - UTS Research Grant $149,600 - Australian Government Contract Key contributions: Co-edited 'Researching Craft Beer' (Emerald, 2021) International symposium organizer (Edinburgh, 2019) Published in Work Employment and Society , Management Learning , and Asia Pacific Journal of Arts and Cultural Management
Fouad Khelifi is an Associate Professor in the Department of Computer and Information Sciences at Northumbria University. His research focuses on computer vision, machine learning, image/video processing, biometrics, multimedia forensics, and medical image analysis. He obtained his PhD in Computing Science from Queen's University Belfast (2007) and held prior research roles at the University of Bradford (2007–2009) before joining Northumbria in 2010. He supervises PhD students in cybersecurity applications and palm-vein recognition systems. Education: PhD in Computing Science, Queen's University Belfast (2004–2007) Fellow of the Higher Education Academy (FHEA, 2014) Research Interests: Khelifi’s work spans advanced deep learning techniques for medical imaging (e.g., cancer detection, retinal disease analysis), source camera identification in digital forensics, and biometric authentication systems. He develops novel algorithms for feature extraction, fusion networks, and transformer-based models in healthcare and multimedia security. Advising: Supervising Egallekanda Perera (PhD, 2019–2025): Efficient Keypoint-based Palm-vein Recognition Co-supervising Ikechukwu Ikpeama (PhD, 2024–): Cybersecurity for Industrial Control Systems Labs/Teams: Active in Northumbria’s Digital Media and Systems Research groups, contributing to interdisciplinary projects in AI-driven medical imaging and multimedia forensics.
FANG Xin is a Full-time Faculty Member and Associate Professor of Operations Management at the Singapore Management University (SMU), affiliated with the Lee Kong Chian School of Business . He also serves as Director of PhD Programmes and MPA Research Fellow since 2023. Ph.D. in Operations Management (2014), Carnegie Mellon University B.S. in Information Systems (2008), Fudan University Research Interests: Corporate Social Responsibility in Supply Chains Digital Economy and E-Commerce Platforms Co-opetition and Network Stability Sustainable Operations and Urban Logistics Consumer Behavior and Decision Theory Selected Publications (2013-2025): Focus on supply chain ethics, game theory applications, and digital platform strategies. Notable themes include anti-counterfeiting, CSR dynamics, urban delivery solutions, and transshipment network formation. Scientific Awards: M&SOM Meritorious Service Award (2024) Lee Kong Chian Fellowship (2020) William Larimer Mellon Fellowship (2008-2014) Multiple Dean's Teaching Honor List recognitions (2019-2024) MPA Fellowships in Maritime Business (2021, 2024) Leadership Roles: Program Director, PhD in Business (2023-Present) Program Coordinator, PhD in Business (Operations Management) (2020-2023)
Jessica Swenson is an Assistant Professor in the Department of Engineering Education at the University at Buffalo's School of Engineering and Applied Sciences. Her work focuses on engineering education methodologies, particularly in undergraduate conceptual knowledge development, Learning Assistant programs, and fostering inclusive environments for women and multilingual learners in engineering. She holds a PhD in Mechanical Engineering from Tufts University (2018), an MS in STEM Education, and a BS in Mechanical Engineering from Northwestern University (2010). Education: PhD, Mechanical Engineering, Tufts University, 2018 MS, Science, Technology, Engineering and Mathematics Education, Tufts University, 2013 BS, Mechanical Engineering, Northwestern University, 2010 Research Interests: Jessica explores engineering design processes, epistemological framing in student learning, and how affect and identity influence academic trajectories. Her work emphasizes equitable pedagogies for multilingual learners, team dynamics in design projects, and the role of power structures in stakeholder interactions. She investigates how open-ended problems and scaffolding techniques impact problem-solving skills and engineering judgment development. Key Themes in Publications: Recent work highlights the interplay between affect and identity in first-year engineering students, strategies for multilingual learners in K-12 settings, and the role of team accomplishment in fostering belongingness. She also examines how flexible classroom spaces and maker environments influence student engagement and identity formation. Awards & Grants: No awards explicitly listed. Current research initiatives focus on NSF-funded projects related to engineering education equity and pedagogical innovation. Labs & Teams: Engaged in interdisciplinary collaborations with aviation museums and pre-service teacher networks to develop authentic engineering assessments and inclusive curriculum designs.
Dr. Ahmed Elgammal is a Professor of Computer Science at Rutgers University, where he leads the Art and Artificial Intelligence Laboratory. His work focuses on applying AI and computer vision to digital humanities, particularly art analysis and generation. He has published over 180 peer-reviewed papers and received the NSF CAREER Award in 2006. Elgammal’s research bridges art and technology, including AI-generated art and computational methods for art history. His work has been featured in prominent media such as the Washington Post, New York Times, and PBS, which earned an Emmy for a segment about his research. His art installations have been exhibited globally in cities like New York and Frankfurt. He holds a Ph.D. and M.Sc. in Computer Science from the University of Maryland, College Park. His academic leadership includes roles as Executive Council Faculty at Rutgers’ Center for Cognitive Science. Research Interests: Creative AI and Art Generation Computer Vision Applications in Digital Humanities Machine Learning for Art Analysis Awards: National Science Foundation CAREER Award (2006) Grants & Projects: Includes NSF-funded projects and collaborations in AI-driven art analysis and structural engineering applications. Labs & Teams: Founder and Director of the Art & AI Lab at Rutgers, focusing on interdisciplinary art-tech innovation.
John Harrison Kurunathan is an Integrated PhD Researcher affiliated with the CISTER Research Centre at the University of Porto, Portugal. He holds a PhD in Electrical and Computer Engineering (2021), a Master's in Very Large-Scale Integration (2014), and a Bachelor's in Electronics and Communication (2012). Education: PhD (2021) - University of Porto, Portugal MSc (2014) - SSN College of Engineering, Anna University BSc (2012) - SRM University His research focuses on Wireless Sensor Networks (WSNs) , Cyber-Physical Systems (CPS) , and Automotive Networks , with an emphasis on Quality-of-Service (QoS) optimization, secure communication, and vehicular platooning. Notable projects include SafeCOP for safety-related CO-CPS and work on IEEE 802.15.4e DSME networks. Recent publications (2023-2025) span areas like Visible Light Communication , Vehicular Security , and Machine Learning in UAV Operations , reflecting his interdisciplinary work bridging embedded systems and transportation technologies. Scientific Awards: Best oral communication Award (in ex aequo) at DCE 2019 Reviewing Roles: Conference: ICCPS, EWSN, MSN, RTN Journal: IEEE ACCESS, IEEE Transactions on Vehicular Technology, ACM Sigbed Harrison is actively involved in workshops and conferences, including chairing roles at WIN-WIN-4S 2024 and technical demonstrations at WoWMoM 2023. His work appears in venues like IEEE Transactions on ITS, IEEE COMST, and PDP 2025.
James Bahoh is an Assistant Professor and Director of Undergraduate Studies in the Department of Philosophy at the University of Memphis. He holds a PhD from Duquesne University and an MA from Boston College. His research focuses on phenomenology, post-phenomenological Continental philosophy, and ontology/metaphysics, particularly engaging thinkers like Heidegger and Deleuze. He explores the philosophical divide between analytic and continental traditions, emphasizing historical philosophy's role in addressing contemporary issues. Dr. Bahoh has held prestigious positions including a Fulbright Postdoctoral Scholarship at Deakin University, a VolkswagenStiftung/Mellon Fellowship at the University of Bonn, and a visiting role at Marquette University. His current book project examines the metaphysics of identity, difference, and representation through Heidegger and Deleuze. He serves as Presiding Officer of the Heidegger Circle Executive Committee, a key North American scholarly organization for Heidegger research. His work emphasizes 'diagenic analysis,' a method clarifying Heidegger's evolving ontology by tracking conceptual grounding across texts. Key themes include the philosophy of events, the critique of representation, and ontological difference. Presentations include engagements with Heidegger's Beiträge and Deleuze's engagement with Nietzsche/Kant.
Martin Albrecht is a Professor of Cybersecurity and Chair of Cryptography in the Department of Informatics at King's College London, Faculty of Natural, Mathematical & Engineering Sciences. He is also a Principal Research Scientist for SandboxAQ, demonstrating his strong industry-academia connections in the cybersecurity field. His research focuses on lattice-based cryptography, post-quantum cryptography, applied cryptography, social foundations of cryptography and information security, and computational mathematics. Albrecht's work bridges theoretical cryptography with practical security concerns, examining cryptographic implementations 'in the wild' and addressing vulnerabilities in widely used communication platforms like WhatsApp, Telegram, and Matrix. His Erdős–Bacon Number is 6, reflecting his interdisciplinary connections. Recent publications reveal a strong trend toward practical cryptographic analysis of real-world systems while advancing theoretical foundations of post-quantum cryptography. His work spans from breaking end-to-end encryption implementations to developing new lattice-based cryptographic primitives resistant to quantum computing threats. Much of his recent research addresses the urgent need for quantum-resistant cryptography as demonstrated by his European-funded project developing algorithms to protect data encryption against future quantum computers. IEEE Symposium on Security and Privacy distinguished paper award (2023) for work revealing security vulnerabilities in popular chat platforms Major European funding (2023) for advancing encryption technology against quantum computing threats Professor Albrecht leads the Cybersecurity research group at King's which studies design, modeling, analysis, verification and testing of networks and systems, and is part of the Security Hub that consolidates security-related research. His work has demonstrated critical vulnerabilities in widely used platforms including WhatsApp, Matrix, and Nextcloud, with findings reported as recently as July 2025 regarding WhatsApp's persistent vulnerabilities. He has supervised numerous PhD students and maintains active collaborations across the cryptographic research community. Through his open-source projects including FPLLL, FPyLLL, G6K, Lattice Estimator, M4RI, and M4RIE, Albrecht has made significant contributions to the cryptographic tools ecosystem, providing researchers and practitioners with essential resources for lattice-based cryptography and computational mathematics.
Senthil Arumugam Muthukumaraswamy is an Associate Professor at the School of Engineering & Physical Sciences, Heriot-Watt University. His research focuses on robotics, machine learning, IoT applications, and automation, with contributions to the UN Sustainable Development Goals in areas like healthcare and agriculture. His work spans smart navigation systems for healthcare robots, surveillance systems for livestock health, facial recognition algorithms, and automated agricultural solutions like aquaponics and vertical farming. He explores path-planning algorithms for firefighting and military robotics, emphasizing AI-driven problem-solving in hazardous environments. Research trends include integrating bio-inspired algorithms, neural networks, and IoT for real-world applications such as elderly health monitoring, smart home automation, and energy-efficient systems. Collaborations span multiple countries, reflecting global interest in his interdisciplinary approaches. No scientific awards are listed, but his extensive publication record highlights active grant-funded research in robotics, automation, and renewable energy. He leads projects in robotics design, control systems, and sustainable farming technologies, contributing to both academic and industry partnerships. Labs and teams include collaborations on robotics, AI, and IoT systems, though specific lab names are not detailed in the provided texts.
Prof. Dr. Antoanela Petkovska is a Full Professor at the Institute of Sociology, Faculty of Philosophy, Ss. Cyril and Methodius University (UKIM). Born in 1958, she holds a PhD in Sociology from the University of Belgrade. Her career spans over four decades, including roles as assistant professor (1994) and associate professor (1999). She specializes in sociology of culture, art, youth, and intercultural communication. She has conducted study stays in the USA (civic education) and France (brain drain). Educations: BA (1980) and MA (1985) from UKIM, PhD (1993) from University of Belgrade. Her research focuses on cultural policy, art sociology, gender studies, and European integration. She has published over 20 books and chapters, including Есеи од социологијата на културата (2009) and Иновацијата низ хуманистички и општествени науки (2020). She has coordinated major projects like EVS European Values Study (2008/2018) and studies on creative industries (2008). Teaching spans undergraduate, graduate, and doctoral programs with courses like Sociology of Visual Culture , Intercultural Communication , and European Civilization . She led professional associations including the Macedonian Center for Culture and Arts (President) and served as President of the Association of Sociologists of Macedonia (2008–2011). Her work addresses societal security through cultural exclusion analysis, youth values, and transnational identity dynamics. Research collaborations include Bulgarian universities and international organizations like DCAF Geneva.
Anton Akusok is a Part-time Lecturer in the Big Data Analytics Master's program at Arcada University of Applied Sciences. He holds a BSc in IT from Moscow (2011), MSc in ML and Data from Aalto University (2014), and a DSc in ML from the University of Iowa, USA (2016). His research focuses on Extreme Learning Machines (ELM), hardware acceleration for ML on mobile devices, and real-time geospatial predictions. He has developed libraries like HPELM and Scikit-ELM, and created the HaSuRiski app for acid sulfate soil prediction in Finland. Research Interests: ELM applications in environmental modeling, federated learning security, mobile edge computing, and geospatial visualization. Key projects include real-time mapping apps with iOS integration and open-source ML tools. Publications (2021-2024) highlight work on federated learning privacy, acid sulfate soil detection, signature verification, and distributed ELM algorithms.
Dhammika Jayalath is an Associate Professor at Queensland University of Technology (QUT) in the School of Electrical Engineering & Robotics within the Faculty of Engineering. He has been with QUT since 2007, initially as a Senior Lecturer and later promoted to Associate Professor. Prior to joining QUT, he worked as a Senior Researcher at National ICT Australia Ltd and held a Fellowship at the Australian National University. His educational background includes a PhD in Wireless Communications from Monash University and a Graduate Certificate in Higher Education from QUT. He is a Senior Member of IEEE and active in multiple IEEE societies including Communications, Signal Processing, and Vehicular Technology. Research Interests: Dhammika's research focuses on Smart Systems with particular expertise in wireless communications and networking. His work spans Physical Layer Security, Massive MIMO Systems, Internet of Things, Optimum Resource Allocation, Cooperative communications, Cognitive radio, and Vehicular communications. He has made significant contributions to 5G New Radio, Chaotic Communications, Orthogonal Frequency Division Multiplexing (OFDM), and Space-Time Signal Processing. Publication Trends: His recent publications demonstrate a strong focus on 5G/6G networking technologies, physical layer security for IoT devices, and optimization of wireless communication systems. His work bridges theoretical communications theory with practical implementation challenges, particularly in vehicular networks, secure communications, and resource allocation for heterogeneous networks. The articles show increasing interdisciplinary work, combining machine learning techniques with traditional communications engineering approaches. Scientific Awards: 2007: Early Career Academic Recruitment and Development (ECARD) award from QUT 2009: Elevated to Senior Member Grade of IEEE 2000: IEEE travel grant Multiple scholarships during graduate studies at Monash University Supervision and Grants: Professor Jayalath has supervised numerous PhD students to completion with research topics including chaotic communication systems, resource allocation in heterogeneous networks, and vehicular communication systems. He has secured multiple research grants totaling over AU $300,000, including projects from ARC, QUT internal grants, and industry partnerships with Queensland Fire and Emergency Services. His current research includes physical layer security frameworks for IoT devices and optimization of massive MIMO systems for dense mobile networks. Laboratory and Team Work: He has been instrumental in establishing wireless communications research capabilities at QUT, including securing equipment grants for Software Defined Radio platforms. His work often involves interdisciplinary collaboration with researchers in signal processing, cybersecurity, and transportation systems.
Andrea Saracino is an Associate Professor specializing in cybersecurity, privacy-preserving technologies, and machine learning applications. His research focuses on enhancing security in IoT systems, smart homes, and mobile devices, with a particular emphasis on Android malware detection and usage control frameworks. He has received the IEEE TCCPS Early-Career Award 2023 for his contributions. Key projects include the SIFIS-Home initiative for privacy in globalized smart homes and the ACE framework for access control. His work addresses challenges in balancing privacy, utility, and explainability in machine learning models, particularly in image and tabular data analysis. He actively explores cybersecurity in emerging domains like software-defined vehicles and industrial control systems.
Dr. Abusaleh Jabir is a University Reader at the School of Engineering, Computing and Mathematics, Oxford Brookes University. He holds a DPhil in Computing from the University of Oxford and leads the Advanced Reliable Computer Systems (ARCoS) group. His research focuses on reliable hardware design, memristive nanotechnology, edge computing, and secure authentication systems. He has over 80 peer-reviewed publications and multiple patents, including innovations in error-tolerant circuits and memristive architectures. **Education**: DPhil in Computing (University of Oxford). **Research Interests**: Reliable hardware design, electronic design automation, sensing at the edge, physical uncloneable authentication, and emerging memristor technologies. His work addresses challenges in IoT, edge computing, and cybersecurity through innovative electronic systems. **Funding & Projects**: Current projects include the Leverhulme Trust-funded MONITOR gas sensor array initiative. His research has been supported by the UK Ministry of Defence, EPSRC, and Finance South East. **Awards & Patents**: Multiple patents granted, including EU 17706875.6 (memristive logic) and GB 1914221.5 (reconfigurable memristive logic). Recognized with best paper awards. **Advising & Impact**: Supervised PhD students now leading semiconductor and automotive industries (e.g., Infineon Technologies, Continental Teves AG). Collaborates with academic and industrial partners globally. **Labs & Teams**: Leads the ARCoS group within the Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute, fostering interdisciplinary innovation in secure and reliable electronics.
Noshin Haque serves as a Teaching Fellow at Aston University within the Aston Pharmacy School, part of the College of Health and Life Sciences. She holds the position of MPharm Stage Lead for 4th year students and delivers instruction across MPharm and OSPAP (Overseas Pharmacists' Assessment Programme) curricula. Her professional foundation combines academic training with extensive frontline pharmacy management experience at major UK retail chains. Her educational background includes an MPharm degree earned at Aston University between 2011 and 2015. She maintains active professional standing as a General Pharmaceutical Council registrant, ensuring alignment with contemporary pharmacy practice standards. Her academic focus centers on pharmacy education innovation, clinical application of pharmaceutical knowledge, and medicines management systems. This expertise is directly informed by her seven years of industry experience where she progressed from Relief Manager to Cluster Manager roles at Lloyds Pharmacy and Boots UK, providing authentic context for her teaching. In her current academic role, she shapes future pharmacists through curriculum leadership and instruction, emphasizing the translation of classroom theory into community pharmacy practice. Her industry background uniquely bridges academic training with operational realities of patient care and pharmacy management.
