Pierluigi Salvo Rossi is a Professor at the Department of Electronic Systems , Norwegian University of Science and Technology ( NTNU ), with additional roles as Deputy Head of Department (since 2021) and Deputy Manager at the Center for Green Shift in the Built Environment (since 2022). He also serves as a part-time Research Scientist at SINTEF Energy's Gas Technology department. Education: Ph.D. in Computer Engineering, University of Naples “Federico II”, Italy (2005) Dr.Eng. (cum laude) in Telecommunications Engineering, University of Naples “Federico II”, Italy (2002) Research Interests span Wireless Communications , Digital Twins , Machine Learning , and Statistical Signal Processing , focusing on applications like Industrial IoT , Fault Detection , and Energy Systems . His recent Publications highlight trends in Federated Learning , Graph Signal Processing , and Multi-Sensor Anomaly Detection across domains from Natural Gas Pipelines to Subsea Leakages . Scientific Awards include: Exemplary Senior Editor, IEEE Communications Letters (2018) Department Ambassador, NTNU (2016) IEEE Senior Member (since 2011) Professional Roles encompass editorial leadership (e.g., IEEE Sensors Journal) and conference organization (e.g., General Chair for IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022). He leads major funded research projects like PREFERENCE (RCN, 2023-2027) and AUTOSHIP (RCN, 2020-2028).
Professor Alex Richter is a Professor of Information Systems at the School of Information Management, Victoria University of Wellington, where he also serves as Director of the Executive MBA program and PhD Director. He leads the Digital Work Lab and edits the Digital Work Diaries. With over 150 refereed publications cited more than 11,500 times, Professor Richter is a leading researcher in the field of Information Systems, recently ranked 285th globally among 18,561 researchers in the Information Systems sub-field on the Top 2% Scientists List. Professor Richter's research focuses on how digital technologies transform work to enhance innovation, productivity, and employee satisfaction. His primary areas of interest include Human-AI Collaboration , Digital Work and Innovation , Value-driven design , and The Future of Work . He explores practical applications of human-AI collaboration with global industry partners, identifying use cases, benefits, risks, and enablers of adoption. His conceptual work emphasizes value-driven, context-aware, and adaptive approaches to create meaningful sociotechnical systems. His recent publications demonstrate a strong trend toward understanding the evolving relationship between humans and AI in workplace settings. Professor Richter's work examines trust in generative AI across organizational departments, the transformation of innovation practices through human-AI collaboration, and the implementation challenges of emerging technologies like augmented reality. His research consistently bridges theoretical frameworks with practical applications, focusing on how organizations can effectively integrate AI while maintaining human-centered values. Top 2% Scientists List (2024), ranking 285th globally among 18,561 researchers in Information Systems 'Innovation in Teaching Award' from the Association for Information Systems (2024) Research Fellow (2022) Multiple best paper awards throughout his career Professor Richter actively supervises numerous PhD students working on human-AI collaboration topics, including Carlos Forero, Chloe Latto, Ghazaleh Moqadam, Hedi Bigham Sohanaki, Jingyu Zheng, Mina Sanabadi, Shafiqul Alam, and Yao Zhang. He has successfully led research projects funded by the European Union, national governments, and organizations across Germany, Switzerland, Denmark, Australia, and the USA. His engaged scholarship approach connects academic research with practical industry applications. As Director of the Digital Work Lab, Professor Richter leads a team exploring the future of work in the digital age. The lab investigates how digital technologies transform work practices, with particular focus on hybrid work environments, visibility in digital workplaces, and human-AI collaboration. Through the Digital Work Diaries initiative, the lab documents and analyzes real-world digital work transformations, providing practical insights for organizations navigating digital change.
Xin Peng is a Professor and Deputy Dean at the School of Computer Science, Fudan University, China. He leads the CodeWisdom research team focusing on intelligent software engineering techniques for development, maintenance, and operation of software systems. His educational background includes a PhD in Computer Science (2001-2006) and Bachelor's degree in Computer Science (1997-2001), both from Fudan University. He progressed through the academic ranks from Assistant Professor (2006-2010) to Associate Professor (2010-2015) and finally to Professor (2015-present). Professor Peng's research interests span Software Analytics, Intelligent Software Development, Microservice systems, and AIOps. His work leverages AI technologies including deep learning and knowledge graphs to develop intelligent software engineering techniques. A significant portion of his recent work focuses on applying Large Language Models to various software engineering tasks, including vulnerability detection, API usage analysis, and test automation. His publication record shows a clear trend toward increasingly sophisticated applications of AI in software engineering, with recent work heavily featuring LLMs for tasks ranging from vulnerability patch porting to resource leak detection. The research spans multiple domains including microservice systems, automotive software, and Web of Things security. Best Paper Award of ICSM 2011 ACM SIGSOFT Distinguished Paper Award of ASE 2018 and 2021 IEEE TCSE Distinguished Paper Award of ICSME 2018, 2019, and 2020 IEEE Transactions on Software Engineering Best Paper award for 2018 Professor Peng serves in numerous leadership roles including Deputy Director of CCF Technical Committee on Software Engineering, Co-Editor-in-Chief of Journal of Software: Evolution and Process, and Associate Editor for ACM Transactions on Software Engineering and Methodology. He has been actively involved in program committees for major software engineering conferences including ICSE, ASE, ESEC/FSE, and ICSME. He leads the CodeWisdom research team at Fudan University, which has developed several benchmark systems including TrainTicket for microservice research. The team's work bridges academic research with industrial applications, particularly in microservice systems analysis and intelligent software development tools.
Tadashi Ishikawa serves as Assistant Professor in the Department of History at the University of Central Florida, specializing in nineteenth and twentieth-century Japan and East Asia. His scholarly work examines intersections of gender, law, empire, and mobility within transnational Asian contexts. Education: Ph.D. in East Asian Languages and Civilizations from The University of Chicago (2015) M.A. in East Asian Studies from Washington University in St. Louis (2007) B.A. in Law from Chuo University (Tokyo, Japan) (2001) His research critically analyzes gendered power structures through legal frameworks in imperial and colonial settings, with current projects investigating Cold War-era mobilities between Japan and Southeast Asia. Methodologically, he combines judicial archive analysis with press records to reveal circular gender dynamics that simultaneously challenged and reinforced societal norms. Publications demonstrate sustained focus on gendered legal histories across imperial formations, particularly examining how family law operated as a mechanism of colonial governance while generating contested spaces for women's agency. Key thematic threads include the tension between legal theory and practice, transnational circulation of gender norms, and intersections of intellectual/manual labor with mobility. Awards: Taiwan Fellowship, Ministry of Foreign Affairs (Taipei, Taiwan), Spring 2019 Doctoral Fellowship, Chiang Ching-kuo Foundation, 2013–2014 Konosuke Matsushita Memorial Foundation Research Grant, 2012–2013 CCS Research Grant, National Central Library (Taipei), 2011 Pauley Endowment Travel Award, UCF, 2022 Toyota Dissertation Fellowship, University of Chicago, 2014–2015 President’s Discretionary Teaching Award, Binghamton University, 2016 Research funding reflects strong international support, with grants from Taiwan's Ministry of Foreign Affairs, Chiang Ching-kuo Foundation, Matsushita Konosuke Memorial Foundation, and National Central Library enabling multi-archival work across Japan, Taiwan, and the United States. His teaching portfolio includes specialized courses on Japanese empire, gender/sexuality in Japan, and modern East Asian history.
Peng Li is a Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara. His research focuses on integrated circuits, brain-inspired computing, electronic design automation, and hardware machine learning systems. He holds Fellow status in the Institute of Electrical and Electronics Engineers (IEEE). His work emphasizes neuromorphic engineering, spiking neural networks, and the intersection of machine learning with analog circuit design. Education includes a PhD in Electrical and Computer Engineering from Carnegie Mellon University, an MS in Systems Engineering from Xi'an Jiaotang University, and a BS in Information Science and Engineering from the same institution. His research has been recognized with prestigious awards including the ICCAD Ten-Year Retrospective Most Influential Paper Award and multiple Design Automation Conference Best Paper Awards. Key research trends in his articles include advancements in spiking neural networks (SNNs), hardware accelerators for neuromorphic computing, Bayesian optimization for analog circuit design, and robustness in machine learning systems. He explores topics like adversarial robustness, energy-efficient architectures, and data-efficient prediction techniques. His work bridges theoretical machine learning models with practical hardware implementations, particularly in 3D integration and systolic array acceleration. Notable contributions include pioneering hybrid approaches combining formal verification with machine learning for analog circuits (HFMV framework), and innovations in neuromorphic processors such as the 3D Liquid State Machine architecture. His research also addresses challenges in semiconductor manufacturing, including wafer map pattern recognition and failure detection through semi-supervised learning and contrastive methods. Awards highlight his impactful contributions to both design automation and neural computing. His grants and collaborations likely span industry partnerships in semiconductor technology and neuromorphic computing. He leads a lab focused on next-generation hardware-software co-design for intelligent systems, emphasizing energy efficiency and scalability.
Scott Mandelbrote is a Fellow, Director of Studies in History, and Perne Librarian at Peterhouse, University of Cambridge. His research explores early modern intellectual history with emphasis on the history of scholarship, science, and biblical interpretation. Mandelbrote teaches courses on the history of the book, nature and knowledge, and the politics of knowledge. He serves as Editorial Director of The Newton Project and General Editor for the Oxford Bibliographical Society. His current projects include digital approaches to watermark analysis using Isaac Newton's manuscripts and studies of early modern Hebrew books in Cambridge collections. Mandelbrote has published extensively on Isaac Newton, biblical scholarship, and early modern intellectual networks. His work bridges history of science, religious studies, and book history across Europe from the Renaissance to the Enlightenment.
Katažyna Bogdzevič is a Professor at Mykolas Romeris University (MRU) Law School, specializing in Private International Law , European Law , Human Rights , and Environmental Law . She leads the MRU Human Rights LAB and contributes to the Environmental Management Research LAB, focusing on legal frameworks for ecosystem services, climate change mitigation, and stakeholder engagement. Key Research Themes: Integration of Private International Law with Environmental Law , analysis of legal conflicts in nature-based solutions, and name rights under international human rights conventions. Policy Engagement: Serves as advisor to Lithuania's Minister of Justice Ewelina Dobrowolska , emphasizing knowledge transfer to legislative and judicial practices. Email: roffice@mruni.eu
Roy CHUA is a Professor of Organisational Behaviour & Human Resources and Associate Dean for Post-Experience Postgraduate Programmes at the Lee Kong Chian School of Business, Singapore Management University. He holds a Ph.D. in Management (Organizational Behavior) from Columbia University and has held academic positions at Harvard Business School and Singapore Management University since 2008. His research focuses on creativity, cross-cultural management, leadership, and innovation in organizational contexts, particularly in Asian business ecosystems. Education: Ph.D., Management (Organizational Behavior), Columbia University (2008) M.A., Philosophy, Columbia University (Year not specified) B.Sc., First Class Honors, Computer and Information Services, National University of Singapore (1998) Research Interests: Dr. Chua's work examines how cultural factors influence creativity and innovation, including studies on cultural tightness, intercultural collaboration, and trust dynamics in global business environments. He has conducted groundbreaking research on gender disparities in creative processes and the impact of cultural diversity on organizational outcomes. His empirical studies often combine quantitative analysis with qualitative insights from multinational corporations and institutional data. Awards: Best Reviewer Award - Academy of Management Journal (2017) Multiple teaching awards including 'Mind Opener' MBA Award (2016) Academic excellence scholarships including Asia Life Gold Medal (1997) Research grants from Columbia University CIBER and other institutions Advising & Grants: Supervises doctoral candidates in General Management and DBA programs Lead researcher on projects funded by Singapore Management University and international grants Collaborations with institutions like MIT Sloan and Harvard Business School Labs/Teams: Leads research initiatives in organizational creativity and cross-cultural management at Lee Kong Chian School of Business, with active participation in global academic networks focused on Asia-Pacific business strategies.
Dr. Tim Oates is a Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County . His research spans machine learning, artificial intelligence, and brain-machine interfaces, with a focus on weakly supervised methods, human-in-the-loop reinforcement learning, and grounded policy development for robotics. Ph.D., Computer Science, University of Massachusetts, Amherst, 2000 M.S., Computer Science, University of Massachusetts, Amherst, 1997 B.S., Computer Science and Electrical Engineering, 1989 Current research threads include: Developing non-invasive brain injury severity assessment via medical time series Modeling human brain development through computational frameworks Designing algorithms for autonomous robotic learning Recent publications highlight AI security mechanisms (backdoor detection via tensor decomposition, matrix factorization) Medical applications (3D artery reconstruction, skin lesion diagnosis, EEG denoising) Neuro-symbolic integration (holographic representations, language-guided reinforcement learning) Mathematical reasoning (schema-based problem solving, subitizing algorithms) Contact: oates@cs.umbc.edu | Office: 336 Information Technology and Engineering (ITE) Building
Tom Spencer is an Emeritus Professor of Coastal Dynamics and Director of the Cambridge Coastal Research Unit at the University of Cambridge's Department of Geography. He holds the title of Professorial Fellow at Magdalene College, where he previously served as Dean and Tutor for Graduate Students. His academic career spans over four decades, including roles as Senior Lecturer, Reader, and full Professor at Cambridge since 2016. Affiliations: Department of Geography, Cambridge Coastal Research Unit, Magdalene College Research Groups: Biogeography and Biogeomorphology, Geographies of Knowledge Spencer's research focuses on coastal dynamics, integrating geomorphology, ecology, and environmental science. Key areas include coral reef ecosystems, mangroves, sediment dynamics, and climate change impacts. His work emphasizes coastal resilience to rising sea levels and extreme events like storm surges. His career includes supervising MPhil students but has ceased taking new PhD candidates. Notable contributions include the Atlas of the Amirantes and collaborations on global coastal wetland models (DIVA). Publications span over 40 years, addressing topics like salt marsh stability, tidal dynamics, and energy-climate scenarios for India. His work bridges field observations, modeling, and policy implications for coastal management.
Dr. Sasha Rubin is a Senior Lecturer and leader of the Computational Logic for AI (LOGIC-AI) group at the School of Computer Science, The University of Sydney. He holds a PhD in Mathematics and Computer Science from the University of Auckland and previously worked at the University of Naples Federico II. His research focuses on logic foundations of AI, including synthesis, planning, formal methods, and multi-agent systems. He teaches courses like Models of Computation and supervises students in topics like probabilistic systems and reinforcement learning. Research Interests: Mathematical Logic, Formal Verification, Temporal Logic Synthesis, Automated Reasoning, and Multi-Agent Systems. He has published extensively in top venues like IJCAI, AAAI, and ACM Transactions. His work includes verification of agent navigation, strategy logic, and planning under uncertain environments. Awards: Recognized as an Australian Research Field Leader in Theoretical Computer Science (2020). He serves on editorial boards for JAIR and conferences like KR, and organizes events such as the Australasian Association for Logic Conference (2024). Supervision and Grants: Current students include Ethan HIRSCHOWITZ and Kunal OSTWAL. Past supervision spans MPhil/PhD projects on probabilistic systems, ML classifier fairness, and symbolic automata. His grants include studies on logic and robots in anonymous graphs. Professional Activities: Member of EATCS, ACM, and mentor for the Sydney Summer Innovation Programme. He leads the LOGIC-AI lab and collaborates internationally, notably with Giuseppe De Giacomo at Sapienza University of Rome.
Dr. Martin Lange is part of the Project Group Ecological Epidemiology within the Department of Ecological Modelling at the Helmholtz Centre for Environmental Research (UFZ). His research focuses on computational epidemiology, particularly in wildlife and livestock systems. Key areas include disease transmission dynamics, surveillance strategies, and the development of predictive models for infectious diseases like African Swine Fever (ASF) and Bovine Viral Diarrhea Virus (BVDV). Affiliations: UFZ, Department of Ecological Modelling; EcoEpi research group. Education: PhD in Veterinary Epidemiology (2013, TU Bergakademie Freiberg). Research interests span ecological epidemiology, wildlife disease control, and the application of agent-based and individual-based models to understand pathogen spread. Notable contributions include modeling ASF in wild boar populations and BVDV eradication strategies in Ireland. Awards: Received the 2018 UFZ-Wissenstransferpreis (shared with H.H. Thulke) and the Konrad-Bögel-Nachwuchsförderpreis for his doctoral work on eco-epidemiology of wild boar diseases. Also recognized at the DACh Epidemiologietagung 2011. Publications: Over 50 peer-reviewed articles since 2006, emphasizing interdisciplinary approaches to disease modeling and environmental systems. Recent work includes digital twin frameworks for biodiversity monitoring and Python-based model coupling tools like FINAM. Labs/Teams: Active in the EcoEpi group and contributes to projects like BioDT (Biodiversity Digital Twin) and CauSES (Causation in Social-Ecological Systems).
Prof. Dr. Markus Freitag is a Professor of Political Sociology at the University of Bern . He studied political science, economics, and German language and literature at Heidelberg University, obtaining his Magister Artium in 1995, followed by a PhD in 1999. Positions: Post-Doc at University of Basel, ETH Zurich, University of Essex; Visiting Lecturer at University of Konstanz; Assistant Professor at Humboldt University Berlin; Chair of Comparative Politics at University of Konstanz (2005-2011) Current role: Director of the Institute of Political Science, University of Bern (since 2011) His research focuses on political sociology, political psychology, comparative politics, social capital , and direct democracy . Key themes include: Emotional drivers of political behavior during crises (e.g., pandemic politics) Personality traits and voter decision-making Trust in institutions and associational life Intergroup conflict and polarization Swiss militia system and local governance Global analysis of regime preferences and social cohesion Recent scientific publications emphasize affective polarization, pandemic preparedness, institutional trust , and arms export ethics , with empirical studies across Europe and post-conflict regions . His work appears in journals like British Journal of Political Science , Comparative Political Studies , and Political Psychology . Prof. Freitag leads teaching courses at the University of Bern, including "Demokratie und Gesellschaft I" and "The Political Sociology of Crises" , and collaborates with researchers such as Christopher Claassen, Sascha Göbel, Alina Zumbrunn , and Maximilian Filsinger .
Simon Hayhoe is a Reader in Education at the University of Exeter's School of Education and an Associate of the Scottish Sensory Centre, University of Edinburgh. His work focuses on sensory impairment, ageing, inclusive technologies, and participatory research methodologies. He has held roles at the University of Bath (2016-2023), Canterbury Christ Church University, and Sharjah Women’s College, UAE. His research has been supported by a Horizon 2020 grant and a Fulbright Fellowship, among others. Education: PhD in Education (University of Birmingham, 2006), PGCE in Secondary Technology (University of Bath, 1997), MEd (University of Leicester, 1995), BA in Technical Communication (Coventry Polytechnic, 1993). His research interests include sensory impairment philosophies, accessible museum technologies, and inclusive education policies. Notable projects include the ARCHES initiative on cultural heritage accessibility and the Sound Pad Project, which co-created inclusive technologies with marginalized communities. He has delivered keynotes at institutions like MIT, Harvard, and the Metropolitan Museum of Art, and serves on editorial boards for journals such as British Journal of Visual Impairment and Discover Global Issues . His awards include the Fulbright Scholarship and fellowships from the British Computer Society and Metropolitan Museum of Art.
Sarah Howard is an Honorary Professor at the School of Education, University of Wollongong, and concurrently holds roles such as Visiting Professor at Vrije Universiteit Brussel. Her research focuses on leveraging new technologies and data science to understand classroom practices, teacher change, and technology integration. Key areas include cultural and individual factors influencing teachers' digital technology use, blended learning environments, and automated classroom observation systems. She leads projects like national app use studies in primary schools and data/video mining methods for digital-physical space integration. Her academic roles include supervision of higher-degree research students across multiple institutions. Funding includes ARC grants and internal university schemes exploring rural student potential, generative AI in education, and flexible learning spaces. Her work emphasizes innovative educational technologies, teacher professional development, and systemic educational change. Recent publications span AI in education, blended learning frameworks, and teacher readiness for online instruction. She collaborates internationally, with a focus on integrating theoretical and practical insights to drive educational innovation.
