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Mahsa SalehiView profile

Senior Lecturer

• Data Mining
• Machine Learning
• Time Series Analysis
• +5 more

Mahsa Salehi is a Senior Lecturer in the Department of Data Science & AI at Monash University’s Faculty of Information Technology. She holds a PhD in Computer Science from the University of Melbourne and previously served as a postdoctoral researcher at IBM Research Australia. Her research focuses on data mining, machine learning, and time series analysis, with applications in healthcare, cybersecurity, and smart grids. Education: PhD in Computer Science, University of Melbourne (2016) MSc in Software Engineering, Amirkabir University of Technology (2009) BSc in Information Technology & Computer Engineering, Amirkabir University of Technology (2008/2006) Her key research interests include multi-dimensional time series analysis, anomaly detection, brain-inspired machine learning, and non-stationary data learning. She has led or contributed to over 40 research outputs, including high-impact papers on anomaly detection frameworks (e.g., CARLA) and EEG representation learning (EEG2Rep). Her work bridges theoretical advancements with practical applications, such as detecting urinary anomalies in seniors and securing smart grid systems against cyberattacks. Dr. Salehi has secured significant grants, including AU$246K from ARENA (2019–2021) and AU$30K from Emotiv Research (2022–2024). She is an Associate Editor of the ACM Transactions on Knowledge Discovery from Data and has been recognized with awards like the ICDM 2022 Best Paper Runner-Up and IBM’s Manager’s Choice Award (2016). Grants & Projects: Privacy-Preserving Machine Learning (CSIRO Next Gen, 2023–2027) AI for Clean Energy & Sustainability (Monash, 2023–2027) Deep Learning for Brain EEG Analysis (PhD Top-Up, 2022–2025) Her contributions extend to editorial and patent activities, including roles at IBM Research and collaborative projects with industry partners like Emotiv.

Martin AlbrechtView profile

Professor

• Lattice-based cryptography
• Post-quantum cryptography
• Applied cryptography
• +3 more

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.

Kuang-Hsu ChiangView profile

Lecturer

• Higher Education Policies
• University-Industry Partnerships
• Doctoral Education
• +3 more

Dr Kuang-Hsu Chiang is a Lecturer in Higher Education at the Moray House School of Education and Sport, University of Edinburgh. Her research focuses on higher education policies, university-industry partnerships, doctoral education, and intercultural dimensions of knowledge. She holds a PhD from the Institute of Education, University of London, and has extensive experience in comparative education studies across Europe and Asia. Her work emphasizes the concept of Fluid Education, exploring non-linear and serendipitous aspects of learning. She has published widely on research-training dynamics, the Humboldtian educational tradition, and the evolving relationship between research and teaching in higher education systems. Dr Chiang is an open supervisor for PhD students interested in topics related to education policy, interculturality, and fluid knowledge systems. Key research interests include European higher education reforms, trust dynamics in academia, and the impact of industry collaborations on doctoral programs. She has presented at international conferences such as the SRHE Annual Conference and the Nordic Summer University, advocating for pedagogical approaches that integrate fluidity and dialectical thinking.

• Wireless Networks
• Machine Learning
• Federated Learning
• +3 more

Choong Seon Hong is a Professor at Kyung Hee University's Department of Computer Science and Engineering in Yongin, South Korea. He earned his PhD in Instrumentation Engineering from Keio University, Japan, in 1997. His research focuses on next-generation wireless networks, with emphasis on 6G systems, federated learning, edge computing, and network optimization. Recent collaborative work explores semantic communication, UAV deployment, and multimodal learning frameworks. His publications highlight technical innovations in: Wireless network optimization for terrestrial, aerial, and satellite systems Federated learning architectures with knowledge distillation and prototype transfer Energy-efficient resource allocation in IoT and vehicular networks Security frameworks for EV charging stations and Open RAN systems Current trends show strong collaboration with Zhu Han, Walid Saad, and younger researchers like Apurba Adhikary and Yan Kyaw Tun. The work spans technical solutions for 6G non-terrestrial networks, holographic MIMO systems, and semantic communication frameworks.

Yvonne DittrichView profile

Professor

• Cooperative and Human Aspects of Software Engineering
• Continuous Software Engineering (CSE)
• Use Orientation in Software Engineering
• +7 more

Yvonne Dittrich is a Professor at the IT University of Copenhagen (ITU), affiliated with the Software Development Group. She holds an adjunct professorship at IIT Mandi, India, and has held roles at institutions in Sweden, Canada, and the U.S. Her research focuses on cooperative and human aspects of software engineering, including Continuous Software Engineering (CSE), use-oriented design, and end-user development (EUD). She has led projects like SAIA-Farm (sustainable irrigation via satellite analytics) and contributed to frameworks like 'Cooperative Method Development.' **Education**: PhD in Computer Science (Hamburg University, 1997), M.Sc. from TU Darmstadt. **Research Interests**: She pioneers methods bridging software engineering with human-centric practices, emphasizing sustainability and participatory design. Her work addresses challenges in global software development, agile methodologies, and software ecosystems. **Awards**: TAT-Förderpreis (1989), Best Paper Award (2018), Distinguished Reviewer recognition (2018). **Grants & Leadership**: Led projects funded by the Danish Innovation Fund, EU, and others. Served on editorial boards for IEEE Transactions on Software Engineering and Journal of Systems and Software. **Labs/Teams**: Collaborates with labs in Denmark, India, and Canada on interdisciplinary projects, including smart irrigation systems and fintech ESG data commons.

Bronson HuiView profile

Assistant Professor

• Second Language Acquisition
• Applied Psycholinguistics
• Vocabulary Learning and Teaching
• +4 more

Bronson Hui is an Assistant Professor of Second Language Acquisition at the University of Maryland, College Park, within the School of Languages, Literatures, and Cultures (SLLC). He is also a member of the Maryland Language Science Center. His research focuses on applied psycholinguistics, particularly second language acquisition in instructed contexts, multi-modal input, vocabulary learning, and open science practices. Hui holds a Ph.D. in Second Language Studies from Michigan State University, an M.S. in Applied Linguistics from the University of Oxford, and dual B.A./B.Ed. degrees in English Language and Education from the University of Hong Kong. Education: Ph.D., Second Language Studies, Michigan State University M.S., Applied Linguistics and Second Language Acquisition, University of Oxford B.A. & B.Ed., English Language and Linguistics / Language Education, University of Hong Kong His research interests include experimental methods in SLA, quantitative analysis, and the use of AI tools in meta-research. He has published in journals like Studies in Second Language Acquisition , Language Learning , and Applied Psycholinguistics . Hui serves on the editorial boards of TESOL Quarterly and Studies in Second Language Acquisition . He teaches courses such as Second Language Research Methodologies , Psycholinguistics , and Vocabulary Acquisition in Instructional Contexts . Hui actively advises graduate students in empirical studies, dissertation research, and grant proposals. His work emphasizes open science practices, including pre-registration, data sharing, and reproducible analyses. Hui has developed workshops on R programming for applied linguists, emphasizing ethical data practices and open-source tools. He collaborates internationally on projects like the ASReview tutorial for meta-research and has contributed to book projects on quantitative methods in applied linguistics.

Diana E. MarshView profile

Assistant Professor

• Archival Science
• Decolonizing Heritage
• Digital Curation
• +4 more

Diana E. Marsh is an Assistant Professor of Archives and Digital Curation in the College of Information Studies at the University of Maryland, College Park, and an affiliate faculty in the Department of Anthropology. Her research focuses on how new technologies and decolonizing movements reshape heritage institutions’ engagement with communities. She examines ethical stewardship, Indigenous access to archives, and organizational change in colonial repositories. Her work combines qualitative and ethnographic methods, with projects at institutions like the Smithsonian’s National Anthropological Archives and the American Philosophical Society. Dr. Marsh holds a PhD in Anthropology (Museum Anthropology) from the University of British Columbia, an MPhil in Social Anthropology from the University of Cambridge, and a BFA in Visual Arts from Rutgers University. She actively acknowledges Indigenous land sovereignty and collaborates with communities to address colonial legacies. Her research interests include information justice, technology ethics, and cultural rights. She leads initiatives like the Center for Archival Futures (CAFe) and focuses on projects such as Transforming Indigenous Archival Search and Building a Sustainable Future for Anthropology’s Archives . Her 2019 book From Extinct Monsters to Deep Time explores the history of Smithsonian fossil exhibits. Her articles address reparative description, Indigenous sovereignty, and ethical digital practices. She emphasizes collaborative approaches to decolonize archives, advocating for Indigenous-led frameworks and equitable access.

Bernadette Hyland-WoodView profile

Lecturer

• Public Data Policy
• Digital Communications
• Data Ethics
• +8 more

Dr. Bernadette Hyland-Wood is a Lecturer in the School of Communication at Queensland University of Technology (QUT) and a Research Fellow at QUT's Centre for Data Science. She serves as an Affiliated Investigator in the Computational Communication and Culture Program within QUT's Digital Media Research Centre and is a chief investigator in the QUT Digital Media Research Centre. Her academic journey began with a Bachelor of Arts (Honours equivalent) in Computational Linguistics from UCLA, followed by a PhD in Policy and Governance from the University of Queensland in 2021. Dr. Hyland-Wood's research focuses on: Public data policy and digital communications during crisis situations Data ethics, AI governance, and organizational behavior in data-driven environments Responsible data science and deployment of generative AI technologies Indigenous Data Sovereignty and ethical considerations in AI development Science and technology policy with applications in health data infrastructure Her scholarly work demonstrates a consistent trajectory examining the intersection of data, policy, and public communication, particularly during periods of societal disruption. Recent publications reveal an increasing focus on AI governance frameworks, Indigenous perspectives on technology, and regulatory compliance in emerging technological landscapes. Her research has evolved from foundational work on open government data to more complex analyses of AI ecosystems and their societal implications. Dr. Hyland-Wood has received recognition through media features in the Australian Broadcasting Corporation (ABC) and Radio New Zealand. Her expertise has been sought for high-level policy contributions, including chairing the W3C Government Linked Data Working Group and authoring influential publications on crisis communications during the COVID-19 pandemic. Professional highlights include: Founding four tech startups in Australia and the U.S., two of which were acquired by major companies Serving as professional CEO of a semantic technology spin-out from MIT Co-founding Women in Technology (WiT) Australia in 1997, now Australia's largest professional networking organization supporting women in digital technologies Two decades of involvement in Open Source Software projects and W3C data standards development Leadership in international initiatives on data exchange standards to support digital research and evidence-based policymaking Dr. Hyland-Wood's career bridges academia, industry, and policy, emphasizing applied research and knowledge translation to ensure responsible AI and data-driven decision-making. Her work contributes to multiple United Nations Sustainable Development Goals, particularly those related to quality education, industry innovation, and reduced inequalities.

• Science Fiction
• Cyberpunk Literature
• New Media
• +5 more

Bruce Sterling is a Professor of New Media and Science Fiction at The European Graduate School (EGS), where he has taught intensive summer seminars since 2003. He also served as "visionary in residence" at the Art Center College of Design in Los Angeles starting in 2005. Sterling is internationally recognized as a science fiction writer, net critic, and cyberspace theorist, with significant influence in the cyberpunk movement. Sterling graduated with a degree in journalism from the University of Texas, Austin, in 1976. His academic journey was followed by a prolific writing career that began with the publication of Involution Ocean in 1977. Sterling's research interests span the intersection of technology, culture, and narrative. He is particularly known for his work on cyberpunk literature, new media theory, and futurism. His concept of "design fiction" has influenced how designers and technologists think about future scenarios. Sterling's Viridian Design Movement promoted environmental awareness through design, while his Dead Media Project documented obsolete communication technologies. His writings consistently explore how technological change reshapes human experience, society, and our understanding of the future. Sterling's recent publications reveal a continued focus on the cultural implications of emerging technologies. His articles examine topics ranging from wearable computing and hyperlocal media to sustainable design and energy transitions. A recurring theme is the relationship between technological progress and environmental sustainability. Sterling frequently employs speculative approaches, using science fiction techniques to explore possible futures and challenge current assumptions about technology's trajectory. Sterling's scientific achievements have been recognized with numerous prestigious awards: Campbell Award (1989) for Islands in the Net Hugo Award (1997) for Bicycle Repairman Hugo Award (1999) for Taklamakan Hayakawa Award (1999) for Taklamakan Clarke Award (2000) for Distraction Sterling has been instrumental in shaping digital culture discourse through his teaching, writing, and activism. As a co-founder of the Electronic Frontier Foundation, he has advocated for digital rights and freedoms. His work bridges academic theory, creative practice, and public engagement, making complex technological issues accessible to diverse audiences. Sterling founded both the Dead Media Project, an archive of obsolete media technologies, and the Viridian Design Movement, an environmental aesthetic initiative. These projects reflect his unique approach to understanding technology through both historical and future-oriented perspectives. His work often explores the lifecycle of technologies, from emergence to obsolescence, and considers how design choices today shape possible futures.

Zev TrachtenbergView profile

Professor

• Political Theory
• Environmental Political Theory
• Anthropocene Studies
• +3 more

Zev Trachtenberg is a Professor of Philosophy and Director of the Environmental Studies Program at the University of Oklahoma. He holds a PhD from Columbia University and specializes in Social and Political Philosophy, Environmental Political Theory, and the works of Rousseau. His research integrates interdisciplinary empirical approaches, particularly focusing on human niche construction and the political governance of environmental transformation. He emphasizes the Anthropocene era's ethical and political dimensions, advocating for frameworks that align environmental changes with human flourishing through just social institutions. Trachtenberg's academic career includes teaching courses like Environmental Ethics, Philosophy of Biology, and Political Theory seminars. He administers the blog Inhabiting the Anthropocene , fostering interdisciplinary dialogue on environmental challenges. Key publications include Rethinking the Environment for the Anthropocene (2019) and Making Citizens: Rousseau's Political Theory of Culture (1993). His work bridges classical political theory (Rousseau, Locke, Smith) with modern environmental ethics, exploring themes like climate justice, socio-natural relations, and ecological governance. His research trends reflect a sustained focus on reinterpreting canonical political theorists through an environmental lens, while advocating for open interdisciplinary collaboration. Despite no listed awards here, his contributions to environmental philosophy and policy are widely recognized in academic circles.

Daniel GibbsView profile

Professor

• Molecular Plant Science
• Protein Degradation
• Epigenetics
• +8 more

Professor Daniel Gibbs is a faculty member at the University of Birmingham, leading the School of Biosciences as a Professor of Molecular Plant Science. He holds roles including Plant Science and Food Security Theme Lead and Deputy Head of Research in the school. His research focuses on plant response mechanisms to environmental stresses, particularly through targeted protein degradation pathways. Gibbs earned his PhD, MSc, and BSc in Biological Sciences (Genetics) from the University of Birmingham, followed by postdoctoral research at the University of Nottingham. He has held prestigious fellowships and established his independent research group in 2013, advancing to full professorship in 2020. Research Interests: Gibbs' lab investigates how plants use protein degradation (e.g., N-degron pathways) to regulate growth, development, epigenomes, and stress tolerance (e.g., flooding). Key areas include oxygen/nitric oxide signaling, chromatin modifications, and meiotic recombination. His work integrates genetic, biochemical, and cell biology approaches, aiming to identify targets for improving crop resilience. Grants & Awards: Gibbs has secured grants from BBSRC, ERC, and others. Notable awards include the 2019 SEB President’s Medal and the 2013 ISPA Outstanding Scientist Award. He chairs BBSRC Strategy Groups and serves as a journal editor and committee member. Education & Teaching: Teaches plant science modules, supervises undergraduate and graduate students, and mentors through programs like findaphd.com. His lab actively engages in training future scientists through hands-on research and academic mentorship.

Pablo CallejaView profile

Research Fellow

• Natural Language Processing
• Medical Informatics
• Legal Informatics
• +5 more

Pablo Calleja is a Research Fellow at the Faculty of Computer Science, Polytechnic University of Madrid (UPM), where he has been a member of the Ontology Engineering Group (OEG) since March 2014. His research focuses on Natural Language Processing (NLP), medical terminology mapping, and legal domain applications. He holds a degree in Computer Engineering from San Pablo CEU University (2013) and has prior industry experience as a software developer at IECISA (2008–2011) and a collaboration grant at the Open Access Classroom, San Pablo CEU University (2011–2013). Key contributions include projects like Drugs4covid for pandemic drug discovery, TermitUp for terminological enrichment, and esT5s , a Spanish text summarization model. His work spans legal knowledge graphs, multilingual compliance systems, and NER techniques for academic content analysis. He has also explored accessibility multimedia services and semantic graph applications in tourism ( DBtravel ). Professional roles include collaboration grants at UPM and active participation in interdisciplinary projects such as SNOMED-CT annotation for medical technical sheets. Research trends emphasize cross-domain adaptation (e.g., K-Flares), data augmentation (Widaug), and multilingual NLP solutions. Advising and grants: His current position is supported by a collaboration grant at OEG. Earlier grants include work at San Pablo CEU University. No formal advisees are listed, but he contributes to collaborative research teams. Labs and teams: Core member of the Ontology Engineering Group (OEG), focusing on knowledge representation, NLP, and applied informatics in healthcare and law domains.

Marc ToussaintView profile

Professor

• Robotics
• Artificial Intelligence
• Machine Learning
• +3 more

Marc Toussaint is Full Professor leading the Learning & Intelligent Systems Lab at TU Berlin's EECS Faculty. His research integrates machine learning, optimization, and AI reasoning to solve fundamental robotics problems like physical reasoning and human-robot interaction. He holds a physics diploma from University of Cologne and PhD from Ruhr-Universität Bochum. Key research themes include: Task-motion planning integration Reinforcement learning for robotics Physical simulation and control Probabilistic inference methods Recent publications focus on efficient kinodynamic planning, belief space planning under uncertainty, and neural policy learning. He develops open-source robotic tools like the 'robotic python package' used in academic courses worldwide. Toussaint collaborates with Amazon Robotics and MIT CSAIL, and has held positions at Max Planck Institute and University of Stuttgart.

Edgar BreaView profile

Lecturer

• Technology and Innovation Management
• Artificial Intelligence
• Digital Ecosystems
• +4 more

Dr. Edgar Brea is a Lecturer in Innovation at the UQ Business School, The University of Queensland. He holds a PhD in Innovation Management (UQ), a Master of Technology and Innovation Management, and a Bachelor of Computer Systems Engineering. His research bridges technology, innovation, and strategic management, with a focus on AI, digital ecosystems, and collaborative innovation strategies in complex organizational settings. Education PhD in Innovation Management, The University of Queensland (2018) Master of Technology and Innovation Management Bachelor of Computer Systems Engineering Research Interests : Dr. Brea explores how emerging technologies like AI reshape knowledge creation, problem-solving, and innovation processes. He investigates strategies for managing technological innovation in diverse industries, including banking, oil and gas, and food sectors. His work emphasizes digital ecosystems, business model evolution, and the interplay between commercial/non-commercial orientations in AI. Publications Trends : Recent work highlights frameworks for actor roles in digital ecosystems, AI's dual commercial/non-commercial dynamics, and the integration of design thinking with agile methods. He also addresses data governance challenges in healthcare and global trends in food and beverage innovation. Collaborations : Active partnerships with organizations like CSIRO and Australia’s Food and Beverage Accelerator (FaBA) inform applied research. His consulting spans industries, focusing on innovation management and digital transformation. Labs/Teams : Engaged in interdisciplinary projects at the UQ Business School, collaborating with industry leaders and academic networks to advance innovation strategies.

• Strategic Management
• Innovation Management
• Climate Change Strategies
• +5 more

Ann-Kristin Zobel is an Associate Professor of Management at the Institute of Management & Strategy, University of St. Gallen. Her research focuses on strategic management, innovation management, and climate change strategies. She holds a Ph.D. from Maastricht University, where she also completed her Bachelor and Master degrees. Her work explores open innovation ecosystems, net-zero strategies, energy sector transformation, and digitalization-driven sustainability solutions. Her professional career includes postdoctoral research at the Haas School of Business (UC Berkeley) and senior research roles at ETH Zurich’s Department of Management, Technology, and Economics. She teaches courses such as Strategic Management (Bachelor) and Managing Collaborative Innovation for Net-Zero (MUG), emphasizing practical applications of innovation theory. Zobel’s research projects address complex challenges like co-creating energy sector futures, smart cities, and net-zero transitions. She actively participates in organizations like the Academy of Management, EGOS, and the World Open Innovation Conference (WOIC). Notable awards include the 2022 Abbie Griffin High Impact Award and recognition for her dissertation on open innovation. Her work bridges theoretical innovation frameworks with real-world applications, particularly in climate policy and digital sustainability. Current affiliations include the NPF 77 ‘Digital Transformation’ project and the Free Electrons Research Project.