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Anthony ForsythView profile

Professor

• Collective Bargaining
• Trade Unions
• Labour Hire
• +3 more

Anthony Forsyth is a Distinguished Professor in the School of Law at RMIT University's Graduate School of Business and Law. He specializes in labour and employment law, focusing on collective bargaining, trade unions, union education, labour hire, and the gig economy. His leadership roles include Director of Juris Doctor Programs (2012-2015) and Head of the Law Department (2019-2022), during which he developed RMIT's Bachelor of Laws and combined law/business degrees. He chairs the RMIT Law Advisory Board and the Higinbotham Lecture Series. His research explores the intersection of Australian and global workplace regulation, emphasizing equitable outcomes through evidence-based legal interventions. Key projects include the Victorian Government Inquiry into Labour Hire Industry and Insecure Work (2015-16), resulting in his book *The Future of Unions and Worker Representation: The Digital Picket Line* (2022). He collaborates with unions like the United Workers Union and Australian Council of Trade Unions. Anthony holds leadership positions such as President of the Australian Labour Law Association (since 2021) and advisory roles at the Centre for Future Work. His awards include multiple RMIT Media Stars Awards (2018-2021) and a Research Impact Award (2018). His work bridges academia and industry, addressing digital-age challenges for worker representation. **Education**: Extensive legal career before academia (pre-2000), including roles at Ashurst, Norton Rose, and Maurice Blackburn. **Grants & Projects**: Victorian Government Inquiry, industry collaborations with unions. He runs the *Labour Law Down Under Blog* and oversees RMIT's Centre for People, Organisation & Work. His recent articles analyze gig economy regulation, multi-employer bargaining reforms, and digital tools for worker mobilization.

Chung-Hsing YehView profile

Associate Professor

• Multicriteria Decision Analysis
• Applied Artificial Intelligence
• Intelligent Decision Support Systems
• +6 more

Chung-Hsing Yeh is an Associate Professor at Monash University's Faculty of Information Technology, Department of Data Science & AI. He holds a visiting professorship at National Cheng Kung University, Taiwan, and has extensive experience in academic roles including Chief Examiner and Lecturer for numerous IT and business-related courses. His research focuses on multicriteria decision analysis, applied artificial intelligence, fuzzy logic, neural networks, and sustainable operations management. He has led collaborative projects on e-waste recycling, supply chain optimization, and public health policy, funded by organizations like the Ministry of Science and Technology (Taiwan) and the Australian Research Council. Education: PhD in Operations Research/Information Systems, Monash University (1988) MSc in Management Science, National Cheng Kung University (1982) BSc (Engineering) in Industrial Design, National Cheng Kung University (1977) Research Interests: His work spans decision support systems, optimization modeling, transport research, and recycling operations. Notable contributions include algorithms for production scheduling, AI-driven solutions for healthcare, and sustainable e-waste management strategies. Awards: Listed in Marquis Who's Who in the World Listed in Who's Who in Finance and Industry Listed in Who's Who in Science and Engineering Grants & Projects: Led 6 major projects, including 'Maximizing E-waste Recycling Profitability' (2019–2020) and 'Smoke-Free Policy Effectiveness' (2007–2010). Active in grant review roles for ARC and the Netherlands Organisation for Scientific Research. Teaching: Overseeing courses such as Fundamentals of Artificial Intelligence, Business Intelligence Modelling, and Management Information Systems.

• Maritime safety management and leadership
• Maritime accident and casualty analysis
• Maritime Autonomous Surface Ships (MASS)
• +3 more

Tae Eun Kim is an Associate Professor in Maritime Safety Management at UiT The Arctic University of Norway, working within the Department of Technology and Security. Her research, teaching, and industrial collaboration focus on maritime safety and human factors, with particular expertise in maritime safety management, accident analysis, Maritime Autonomous Surface Ships (MASS), and human factors in maritime operations. Dr. Kim's research spans four interconnected domains: maritime safety management and leadership, maritime accident and casualty analysis, Maritime Autonomous Surface Ships (MASS), and human factors in maritime operations. She has developed assessment instruments like the Safety Leadership Self-Efficacy Scale (SLSES) and conducted STAMP-based causal analyses of maritime accidents. Her work on MASS addresses safety challenges in mixed navigational environments and examines leadership competencies for autonomous shipping operations. Her human factors research explores how technological advancements impact navigators' performance, crew dynamics, and safety outcomes, including gender parity issues in the maritime industry. Dr. Kim's publication record reveals a strong focus on the intersection of maritime safety, technology, and human performance. Her recent work increasingly addresses autonomous shipping technologies, with numerous publications on AI decision transparency, learning analytics in maritime simulator training, and multi-modal data analysis for nautical skill development. She has conducted systematic reviews on simulator training approaches and scenario design, contributing significantly to methodology development in maritime education and training. Her research demonstrates a clear trajectory toward integrating emerging technologies with traditional maritime safety practices as the industry transitions toward greater automation. Dr. Kim is actively involved in several significant research projects, including the i-MASTER EU Horizon Europe Research and Innovation Project, the REFRAME project, and the SPRICE project (Multidisciplinary approach for spray icing modelling). She is a member of both the Advanced Maritime Ship Operations research group and the Maritime Safety Science (MARSCI) Research Group, demonstrating her commitment to collaborative research in maritime safety science. Dr. Kim teaches several specialized courses at UiT, including SVF-3206 Safety Management and Accident Investigation, TEK-3014 Navigation Technology, MFA-2100 Maritime Digitalization, MFA-8010 Maritime HTO (Human-Technology-Organisation) and Innovation, and MFA-2018 Maritime Administration and Leadership. Her teaching portfolio reflects the interdisciplinary nature of her expertise, bridging engineering, safety science, and organizational behavior in maritime contexts.

Damian ArellanesView profile

Lecturer

• Theoretical Computer Science
• Algebraic Composition
• Models of High-Level Computation
• +5 more

Dr. Damian Arellanes is a Lecturer (Assistant Professor) in Computer Science at Lancaster University, UK, affiliated with the Software Engineering Group and Lancaster Centre for Intelligent, Robotic and Autonomous Systems (LIRA). He holds a PhD from The University of Manchester (2020) and a Postgraduate Certificate in Academic Practice from Lancaster University (2023). His research focuses on theoretical foundations of algebraic composition for high-level computation models, including emergent/self-organising systems and software composition. He has contributed to areas such as category theory, control-flow separation, and compositional programming for IoT systems. Education: PhD in Computer Science, University of Manchester (2020) Postgraduate Certificate in Academic Practice, Lancaster University (2023) MSc in Computer Science, supported by CONACYT (2012–2014) BEng in Computer Engineering, supported by PRONABES (2009–2012) Research Interests: Damian’s work emphasizes algebraic semantics, compositional models for software, and theoretical computer science principles. He explores how abstract mathematical frameworks (e.g., category theory) can formalize computational systems and enable scalable IoT solutions. Publications: Damian has published extensively on algebraic composition, IoT systems, and formal methods. Key themes include compositional programming, self-organizing software, and scalable service architectures. Awards: Official Nominator for the VinFuture Prize (2024) Honourable Mention for Most Outstanding Mexican Student in STEM (2021) Nick Sanders Kickstarter Fund (2019) Outstanding Doctoral Paper Award (2019) Best MSc Thesis in AI (2015) Advising & Grants: Damian supervises PhD students, such as Mina Yavari, and actively reviews for journals like IEEE TSC and conferences like TASE. He has secured scholarships and fellowships from CONACYT and the Mexican government. Labs/Teams: Member of LIRA’s Fundamentals Section and the Software Engineering Group at Lancaster University.

Tom LawrenceView profile

Professor

• Strategic Management
• Institutional Theory
• Social Innovation
• +7 more

Tom Lawrence is a Professor of Strategic Management at Saïd Business School, University of Oxford. He previously held the W. J. VanDusen Chair at the Beedie School of Business, Simon Fraser University, and has held academic roles at institutions including Cambridge University and McGill University. He earned his PhD and BComm in Finance from the University of Alberta. His research focuses on strategic management, organizational change, social innovation, and institutional theory, examining how organizations and individuals drive change in contested domains like healthcare, environmental sustainability, addiction treatment, and homelessness. His work emphasizes the interplay of power, language, social networks, and institutions in enabling or constraining social innovation. Lawrence has published in leading journals such as Administrative Science Quarterly and Academy of Management Review, and co-edited major works like the Sage Handbook of Organizational Institutionalism. His teaching spans MBA, Executive MBA, and PhD programs, emphasizing strategic thinking and decision-making. He previously directed the CMA Centre for Innovation at Simon Fraser University, which advanced social innovation research and curriculum development. Currently, he serves on the board of the Mindset Foundation.

Sebastian von MammenView profile

Professor

• Games Engineering
• Virtual Reality
• Interactive Simulations
• +3 more

Prof. Dr. Sebastian von Mammen is a tenured professor at the University of Würzburg's Institute for Computer Science, where he heads the Games Engineering research group and contributes to the Chair for Human-Computer Interaction. His group leads the Games Engineering academic program. Previously, he completed his habilitation (2012-2016) at the University of Augsburg's Chair of Organic Computing and was a postdoctoral fellow at the University of Calgary. His research spans: Real-Time Interactive Systems : Visual programming, immersion techniques, software engineering Interactive Simulations : Serious games for healthcare/logistics/construction Artificial Life : Self-organisation, adaptive systems, evolutionary computation Artificial Intelligence : Agent-based modeling, procedural content generation Recent publications (2023-2025) demonstrate strong focus on: Virtual reality applications in education (femtoPro optics simulator, BrainBuilder neuroanatomy) Healthcare technology platforms (VIA-VR for medical serious games) Game mechanics analysis (Match-3, Jump'n'Run flow) AI-driven emotion recognition and interactive systems Computational modeling of biological systems He leads the Games Engineering research group and previously participated in the Evolutionary and Swarm Design group (Calgary) and LINDSAY project. His lab develops VR simulations for scientific training and serious games applications.

• Knowledge Management
• Cyber Security
• Terrorism Research
• +5 more

Babak Akhgar serves as Professor of Informatics and Director of CENTRIC (Centre of Excellence in Terrorism, Resilience, Intelligence and Organised Crime Research) at Sheffield Hallam University's College of Business, Technology and Engineering, with additional affiliation to the Culture and Creativity Research Institute. Recognized as a Fellow of the British Computer Society (FBCS), he maintains active leadership in security informatics research and education. His academic foundation includes a Software Engineering degree from Sheffield Hallam University, complemented by a Master's degree with distinction in Information Systems in Management and a PhD in Information Systems. This academic trajectory followed substantial industry experience as a Strategy Analyst and Methodology Director for multiple organizations. Professor Akhgar's research program bridges theoretical knowledge management with practical security applications, focusing on cyber security, counter-terrorism, intelligence frameworks, and big data analytics for national security. His scholarly output demonstrates consistent evolution from foundational knowledge management systems toward contemporary security challenges including cryptocurrency tracing, AI accountability in law enforcement, and smart city security frameworks. Recent work shows particular emphasis on ethical considerations, citizen acceptance of security technologies, and practical implementation of security solutions. Fellow of the British Computer Society (FBCS) Co-editor of influential security publications including 'Intelligence Management: Knowledge Driven Frameworks for Combating Terrorism and Organised Crime' Member of editorial boards for three international journals Chair and program committee member for numerous international security conferences As a doctoral supervisor, Professor Akhgar has guided research on cyber situational awareness, digital music ontology, and e-government services. His leadership extends to major EU-funded security initiatives including the MIICT project for migrant integration and development of the AP4AI accountability framework for artificial intelligence in security contexts. Through CENTRIC, he directs a research ecosystem that connects academic inquiry with real-world security challenges while addressing ethical, legal, and societal implications of security technologies.

Ryo IkeshiroView profile

Assistant Professor

• Sound Art
• Sonification
• Computational Creativity
• +3 more

Ryo Ikeshiro is an Assistant Professor at the School of Creative Media, City University of Hong Kong, and co-director of the spatial audio art/research unit SoundLab. His work bridges sound art, computational creativity, and cultural studies through immersive installations, algorithmic audio-visual systems, and sonification techniques. PhD in Creative Practice (Goldsmiths, University of London) MPhil in Music (University of Cambridge) BMus (King's College London) Ikeshiro's research interrogates the materiality of sound through: Multichannel Ambisonics and directional audio Neural network-driven temporal dislocation Sonification of climate data and historical soundscapes Machine learning for artistic interpretation Interplay of identity and technology East Asian ideophonic traditions His 2010-2024 publications and installations reveal cross-disciplinary engagement with: Fractal mathematics in audiovisual art Algorithmic composition systems Interactive installation technologies Sonic cartography Historical memory in sound Collaborative research frameworks SoundLab, which he co-directs, develops spatial audio research at the intersection of: Technical innovation Cultural representation Experimental pedagogy Public engagement International artistic exchange Practice-based research

• Swarm Robotics
• Bio-inspired Swarms
• Multi-agent Systems
• +4 more

Farshad Arvin is a Professor of Robotics in the Department of Computer Science at Durham University. Prior to this, he held academic positions at The University of Manchester (2018-2022) and worked as a Research Assistant at the University of Lincoln (2012-2015). He holds a BSc in Computer Engineering (2004), an MSc in Computer Systems Engineering (2010), and a PhD in Computer Science (2015). His research focuses on Swarm Robotics , Bio-inspired Swarms , and Autonomous Multi-agent Systems . He pioneered the Swarm & Computation Intelligence Laboratory (SwaCIL) at Durham, leading projects like H2020-FET RoboRoyale (€3.27M), Horizon Europe Sensorbees (€3.2M), and BioDiMoBot (€8M), with total funding exceeding £4M. Recent publications highlight advancements in swarm trajectory optimization (T-STAR), collision-free multi-robot coordination, and bio-hybrid environmental monitoring. His work integrates bio-inspired algorithms with practical applications in autonomous vehicles, aerial drones, and hazardous environments. Scientific Awards: Marie Skłodowska-Curie fellowship Notable Projects: EU H2020-FET RoboRoyale (2021-2026) Horizon Europe Sensorbees (2024-2029) Horizon Europe BioDiMoBot (2025-2030) H2020-FET Robocoenosis (2020-2025) Supervision: Mentors 8 postgraduate students at Durham, including Hanadi Alhamdan, Hang Wang, and Honghao Pan.

• Artificial Intelligence
• Work and Labour
• Surveillance Studies
• +4 more

Dr. Gemma Newlands is a Departmental Research Lecturer in AI & Work at the Oxford Internet Institute (OII), University of Oxford, since September 2022. Her research focuses on the sociological impact of AI on work and organizations, emphasizing surveillance, occupational value, and sustainability in AI production. She holds a PhD from the University of Amsterdam (2023) and previously served as Assistant Editor at Big Data & Society . Her work is supported by grants from the Norwegian Research Council and European Research Council. Research Interests : AI & Work, Sustainable AI Production, Surveillance in Digital Labour, Occupational Prestige, and Social Theory. She leads the Research Programme on AI & Work and contributes to the Reasoning with Machines AI Lab. Awards : 2024 University of Oxford Divisional Teaching Excellence Achievement Award (shared with Dr. Fabian Stephany). Teaching : Courses include Qualitative Interviewing and Data Analysis and Internet and Society . Grants & Projects : Multiple funded projects on algorithmic management, gig economy dynamics, and occupational evaluation via AI. Supervises Recognised Student Noah Khan in Social Data Science. Labs/Teams : Active in OII research groups such as the Fair Digital Economies and Mind and Emerging Technologies Lab.

Ajay Achath MohananView profile

Lecturer

• Flexible Electronics
• Nanotechnology
• Sensor Technology
• +3 more

Dr. Ajay Achath Mohanan is a Lecturer at the Malaysia School of Engineering, Monash University. He holds a PhD in Engineering from Monash University Malaysia (2016) and a Bachelor of Engineering in Electrical and Computer Systems Engineering from the same institution (2009). His research focuses on flexible surface acoustic wave (SAW) sensors integrated with ZnO nanostructures, transitioning from rigid to flexible substrates. Key areas include piezoelectric ZnO thin films on polymers, low-temperature hydrothermal synthesis of nanowires, and UV-LED photolithography for sensor fabrication. He teaches ECE2071 - Computer Organisation and Programming and ECE3091 - Engineering Design . Mohanan leads or collaborates on projects such as flexible Lamb wave resonators for wastewater monitoring and graphene-integrated acoustic sensors. He has contributed to over 15 peer-reviewed publications since 2009, addressing topics like SAW resonator design, nanowire growth, and semiconductor defect analysis. His research aligns with UN SDG 4 (Quality Education) and SDG 9 (Industry, Innovation, and Infrastructure). Mohanan’s work emphasizes sustainable sensor technologies for environmental and industrial applications. He operates in the Micro and Nano Devices Lab, advancing flexible electronics and wearable sensor platforms.

David EllisView profile

Professor

• Psychology
• Data Science
• Digital Technologies
• +4 more

David Ellis is a Professor of Behavioural Science at the University of Bath's School of Management, with affiliations to the Applied Digital Behaviour Lab , Centre for Healthcare Innovation and Improvement , Centre for Business, Organisations and Society (CBOS) , and Institute for Digital Security and Behaviour (IDSB) . His interdisciplinary research bridges psychology and data science , focusing on digital technologies' impact on human behavior and healthcare systems. Ellis earned a PhD in Psychology (2013), MSc in Psychology (2009), and MA in Psychology (2008) from the University of Glasgow. His work addresses health inequality , digital ethics , and open research practices , influencing NICE guidelines and UK government reports. Recent publications highlight his leadership in computational reproducibility and digital behavioral interventions , including tools like Optimeet for attendance optimization and frameworks for ethical data exploration (DECIDE). His research spans healthcare planning , cybersecurity , and social data science , with over 85 peer-reviewed articles. Scientific awards include: Royal College of General Practitioners – Research Paper of the Year (2020) Dean's Award for Research Communication and Translation (2021) Stanford-Elsevier Top-Cited Scientist (2022) Doctoral Recognition Award (2023) Ellis supervises doctoral students and leads EPSRC-funded projects like Co-designing Technological Solutions for Loneliness and Digital Health Hub Pilots. He chairs the Social Sciences Research Ethics Committee and contributes to UKRI and Wellcome-funded initiatives.

Alison RodgerView profile

Professor

• Biophysical Chemistry
• Physical Chemistry
• Analytical Science
• +3 more

Prof Alison Rodger is a Professor in the Research School of Chemistry at The Australian National University, where she leads research in biophysical spectroscopy. Formerly at Macquarie University (2017–2024) and the University of Warwick (1990s–2017), she specializes in developing advanced spectroscopic techniques for biomacromolecule analysis. Her work integrates circular dichroism, linear dichroism, and Raman methods to study nucleic acids, proteins, and membrane systems. She co-directs the ARC-funded Industrial Transformation Training Centre in Facilitated Advancement of Australia’s Bioactives (FAAB) and runs an open-access biophysical spectroscopy lab. Key awards include Fellowships from the Australian Academy of Science (2021) and Royal Society of Chemistry (2000), and recognition in the Analytical Science Power List (2015). Education: BSc, PhD, DSc (Sydney University) MA (Oxford) DSc (Warwick) BA (Chester) Research Interests: Development of polarized-light spectroscopies for biomacromolecule analysis, including electronic/circular dichroism, Raman spectroscopy, and hybrid techniques. Applications span protein-DNA interactions, membrane biophysics, and biopharmaceutical characterization. She invented five spectroscopic techniques, including micro-volume Couette flow linear dichroism and fluorescence-detected linear dichroism. Awards & Roles: Fellow of the Australian Academy of Science Fellow of the Royal Society of Chemistry Emeritus Professor (University of Warwick) Recipient of Science Teachers of NSW Dedicated Service Award Consultant to European Science Foundation CASPER project Advising & Grants: Supervises PhD students in interdisciplinary biophysical chemistry. Led the EPSRC-funded Molecular Organisation and Assembly in Cells DTC at Warwick. Currently co-directs the ARC FAAB Centre, focusing on bioactive product characterization. Labs & Collaborations: Operates an open-access biophysical spectroscopy lab supporting academic and commercial users. Collaborations span mathematics, medicine, and engineering, with projects on DNA knotting, antimicrobial peptides, and nanomaterials for biosensing.

Rachel O’DwyerView profile

Lecturer

• Digital Cultures
• Cultural Economies
• Money & Algorithms
• +3 more

Rachel O’Dwyer is a Lecturer in Digital Cultures at the School of Visual Culture, National College of Art and Design (NCAD), Dublin. She holds a PhD from Trinity College Dublin (2014), an M.Phil. in Music and Media Technologies (2009), a B.A. Honours in Fine Art (Digital Media) from IADT Dun Laoghaire (2006), and a City & Guilds Diploma in Sound Engineering (2007). Her research explores the intersection of digital cultures and cultural economies, focusing on how digital networks transform ownership, value, and production of art, knowledge, and information. She critiques neoliberal logics in blockchain and algorithmic systems, advocating for a return to commons-based models. Education: PhD, Trinity College Dublin (2014): Spectre of the Commons: A Political Economy of Radio Spectrum M.Phil., Trinity College Dublin (2009): Music and Media Technologies B.A. Honours, IADT Dun Laoghaire (2006): Fine Art (Digital Media) City & Guilds Diploma, Sound Engineering (2007) Research Interests: Rachel’s work interrogates money, algorithms, AI, and their implications for cultural production and resistance. She investigates the role of blockchain in crypto-art, freeports, and art markets, while also examining how IoT and 5G reshape payments and surveillance. Her critical lens extends to the political economy of communications, digital value systems, and tactical media strategies like Openhere and D.A.T.A. Scientific Awards: 2018: Fulbright Scholar Award (Blockchain & Art) 2018: RIA Charlemont Scholar Award 2014: SFI Public Engagement Grant 2010-2014: Science Gallery Seed Funding Advising & Grants: Rachel has coordinated modules in the history of creative industries and designed MOOCs on technology and society. She organized the Openhere festival (2012, 2014), Data Politics conferences (2016), and Quantified Self events (2011). Her current book project with MIT Press examines radio spectrum ownership. Labs & Teams: She is a core member of the P2P Foundation’s academic research network and coordinates the Orthogonal Methods Group (OMG) at Trinity College Dublin. She advises the DECODE EU project on data sovereignty and contributes to ADAPT’s Ethics and Privacy Working Group.

• Fuzzy Logic Systems
• Artificial Intelligence
• Model-Based Predictive Control
• +6 more

Professor Mahdi Mahfouf holds the Chair in Intelligent Systems at the University of Sheffield's School of Electrical and Electronic Engineering . He obtained his MPhil (1988) and PhD (1991) in Control Systems from the same institution. After postdoctoral research (1992-1996) on Leverhulme-funded projects in Model-Predictive Control and Fuzzy Logic, he progressed through academic ranks at Sheffield to Full Professor (2005). Recipient of the IEE Hartree Premium Award (1992) and MEDIPEX Innovation Award (for ICU Decision Support Systems) Over 370 publications, including 130+ journal papers Head of the Intelligent Systems Research Laboratory Research Themes His work spans fundamental research in Fuzzy Logic (modelling, control), Neural-Fuzzy Systems, Self-Organising Control, and Evolutionary Optimization, alongside applied domains in pharmaceutical manufacturing, aerospace systems, biomedical engineering (ICU monitoring), and intelligent transportation. Recent publications focus on hybrid AI for pharmaceutical processes , type-2 fuzzy control systems , and machine learning in manufacturing metrology . Lab initiatives include multistage process monitoring and human-machine interaction systems for stress management.