Find Academic Supervisors

Cristian CandiaView profile

Researcher

• Computational Social Science
• Network Science
• Business Analytics
• +4 more

Cristian Candia is a researcher and academic leader at the CRiSS-LAB, School of Engineering and School of Government at Universidad del Desarrollo, Chile. He also serves as an External Faculty member at the Northwestern Institute on Complex Systems at Northwestern University, USA. His roles include directing the Data Science Master’s Program and leading research in computational social science and network science. Education: PhD in Complex Systems (Center for Social Complexity, Universidad del Desarrollo; MIT Media Lab; Northeastern University), Master of Science in Physics, Bachelor of Science in Physics, and Physics Engineering from Universidad de Concepción, Chile. Postdoctoral research at Kellogg School of Management, Northwestern University. Research focuses on computational social science, collective intelligence, network science, and their applications to education, decision-making, and social dynamics. Key tools include Lixandria (degree program recommendation system) and discolab (AI-driven constitutional text analysis platform). Current projects include FONDECYT-funded work on Collective Memory and FONDEF-funded initiatives on data-driven education decisions. Contributions span hybrid classroom dynamics, bullying patterns, gender mobility, and gig economy networks. Collaborations include the MIT Media Lab and Kellogg School of Management.

• Cybersecurity
• Access-Control Systems
• Machine Learning Security
• +2 more

Simon Parkinson is a Professor at the University of Huddersfield specializing in cybersecurity and machine learning applications in security systems. His research focuses on empirical analysis of access-control systems, threat prediction, and defensive AI strategies. Parkinson's work combines data mining, behavioral analysis, and computational methods to address real-world security challenges. Recent publications demonstrate strong emphasis on biometric security, IoT protection, and forensic investigation techniques. His 2023-2025 research explores LLM-based event log analysis, wearable biometric cryptosystems, and zero-day DDoS detection in IoT networks. Collaborative projects include international case studies in Bahrain and innovative applications of computer vision in security diagnostics. Parkinson contributes to cybersecurity education initiatives and stakeholder engagement for security standardization.

• Strategic Leadership
• Corporate Governance
• Organizational Search
• +3 more

Wei Shen is the Dean’s Council Distinguished Professor and Chair of the Department of Management and Entrepreneurship at Arizona State University’s W. P. Carey School of Business. He previously served as Associate Dean for W. P. Carey China Programs and Faculty Director of the China Executive MBA Program. His research focuses on CEOs, boards of directors, and organizational impacts, with publications in top-tier journals like Administrative Science Quarterly and Strategic Management Journal. Educated at Peking University (B.S. in Psychology) and Texas A&M University (Ph.D. in Business Administration), Shen has received awards including the Robert J. Litschert Best Doctoral Student Paper Award and the Mays Outstanding Ph.D. Alumni Award. He currently serves as President-Elect of the International Association for Chinese Management Research (IACMR). His research interests include strategic leadership, corporate governance, organizational search mechanisms, and research methodology. Key themes in his work address CEO accountability, board dynamics, and the interplay between organizational performance and governance structures. Shen’s publications span over two decades, consistently exploring governance mechanisms, strategic decision-making, and leadership succession. Recent work examines tiered status hierarchies in competitive actions, gender bias in CEO roles, and compliance with governmental mandates. His books include Empirical Methods in Organization and Management Research (4th ed.) and Organizational Management: A Perspective of Chinese Enterprises in the Age of Digital Intelligence . He has advised numerous academic programs and holds leadership roles in advancing Chinese management research. His courses include doctoral seminars, strategic management, and global corporate strategy, reflecting his commitment to educating future business leaders.

• Digital Economy
• Digital Transformation
• Artificial Intelligence
• +5 more

Prof. Marek Kowalkiewicz is a Professor and Chair in Digital Economy at QUT’s School of Management (Faculty of Business & Law). He leads QUT’s Centre for the Digital Economy and previously held roles in Silicon Valley, Singapore, and China. His research focuses on digital transformation, AI-driven economies, and business model innovation. He holds a PhD (Summa Cum Laude) from Poznan University of Economics. Education: PhD (Summa Cum Laude), Poznan University of Economics, 2006 MSc, Business Information Systems, Poznan University of Economics, 2002 Research Interests: Digital economy, AI’s societal impact, Industry 4.0/5.0, metaverse applications, and digital governance. His work bridges academia and industry, emphasizing practical innovation sprints and collaboration. Key Contributions: Authored The Economy of Algorithms (2024), pioneered frameworks for digital transformation in SMEs, and developed methodologies for open innovation in public services. Awards: Top 100 Global Thought Leader in AI (Thinkers360) Australian Business Book Award (Technology Category, 2024) Advising & Grants: Supervised 10+ PhD students on topics like blockchain governance and social media innovation. Collaborates with global firms and governments on digital strategy. Labs/Teams: Leads the Centre for Future Enterprise and co-founded the ADM+S GenAI Lab, focusing on applied AI research.

Moharram ChallengerView profile

Assistant Professor

• Cyber-physical Systems
• Multi-agent Systems
• Domain-specific Modeling Languages
• +5 more

Moharram Challenger is a tenure-track Assistant Professor in the Department of Computer Science at the University of Antwerp's Faculty of Sciences. Previously, he served as an assistant professor at Ege University (2017-2018) and as a post-doctoral researcher at the University of Antwerp (2019-2020) working on Flanders Make projects PACo and DTDesign. His academic journey includes R&D leadership roles at UNIT IT Ltd. (2012-2016), post-doctoral research at Wageningen University (2016-2017), and tenure-track faculty positions at IAU-Shabestar University (2005-2009). His research spans Cyber-physical Systems , Multi-agent Systems , and Domain-specific Modeling Languages , with recent publications focusing on quantum machine learning, digital twinning, and IoT optimization. Key projects include ITEA ModelWriter, ITEA Assume, and Flanders Make initiatives. His work demonstrates strong integration of model-driven engineering with emerging technologies like quantum computing and reinforcement learning. Challenger actively contributes to the academic community as a member of IEEE and ACM . His publication record shows consistent output across top venues, with 2025 featuring significant work in quantum-enhanced learning and CPS security. Current research emphasizes practical applications in drone energy modeling, medical diagnostics, and industrial IoT systems. His advising activities focus on cyber-physical systems and agent-based modeling, supported by grants from TUBITAK and Flanders Innovation & Entrepreneurship. Key collaborations include European ITEA projects and partnerships with industrial entities through UNIT IT Ltd. Challenger maintains active development through GitHub repositories related to code refactoring, model-driven engineering, and legacy system modernization, reflecting his commitment to practical software engineering solutions.

• Artificial Intelligence
• Cardiovascular Medicine
• Machine Learning
• +5 more

Dr. Evangelos (Evan) Oikonomou is an Assistant Professor in the Section of Cardiovascular Medicine at Yale School of Medicine. A physician-scientist specializing in AI applications for cardiovascular disease, he leads research at the intersection of computer vision, machine learning, and precision cardiology. His work focuses on developing scalable digital tools that can be integrated into clinical care pathways to improve cardiovascular diagnosis and risk assessment. Dr. Oikonomou's educational background includes: MD from the University of Athens Medical School (graduated as valedictorian) D.Phil. in Medical Sciences from the University of Oxford Internal Medicine Residency and Cardiology Fellowship at Yale School of Medicine His research spans multiple domains of AI in cardiovascular medicine, with particular focus on precision phenotyping and digital biomarkers. Key areas include developing perivascular adipose tissue imaging biomarkers for vascular inflammation assessment, designing deep learning algorithms for point-of-care echocardiography, and leading data-driven evaluations of treatment effect heterogeneity across clinical trials. His work aims to leverage multimodal AI to redefine diagnostic and prognostic frameworks in cardiovascular disease, emphasizing real-world implementation and equity in access to advanced diagnostics. Dr. Oikonomou's recent publications demonstrate a strong trend toward developing and validating AI algorithms that can be deployed in clinical settings for cardiovascular disease detection and risk stratification. His research increasingly focuses on multimodal approaches combining echocardiography, electrocardiography, and other data sources to create comprehensive cardiovascular assessment tools. His work has particular emphasis on making these tools accessible and applicable across diverse patient populations. Dr. Oikonomou has received numerous prestigious awards, including: NIH F32 Ruth L. Kirschstein National Research Service Award Young Investigator Awards from American Heart Association, American College of Cardiology, and European Society of Cardiology Heart Tank For the Cardiovascular Investigator - Imaging (Winner) from American College of Cardiology Trainee Poster Award Winner from CERSI Summit 2024 ASCI emerging generation (e-Gen) award from American Society of Clinical Investigation Elizabeth Barrett-Connor Research Award in Epidemiology and Prevention from American Heart Association Dr. Oikonomou leads the Cardiovascular Data Science Lab (CarDS) at Yale, where his team develops and implements AI-driven solutions for cardiovascular disease diagnosis and risk assessment. The lab focuses on creating practical, scalable tools that can be integrated into existing clinical workflows to enhance precision medicine approaches in cardiology.

Sijie SunView profile

Assistant Professor

• Cross-cultural consumer psychology
• Creativity
• Social media consumption
• +4 more

Dr. Sijie Sun is an Assistant Professor of Marketing at the Asper School of Business, University of Manitoba. Previously, he taught at the University of Hawaii at Hilo. His research focuses on cross-cultural consumer psychology, creativity, social media consumption, and prosocial behavior. He holds a PhD in Marketing from the University of Texas at Arlington and serves on the editorial review board of the Journal of Business Research . Education: PhD in Marketing, College of Business, University of Texas at Arlington Research interests span cultural influences on consumer behavior, including creativity, social media engagement, and how identity salience impacts purchasing decisions. His work bridges cultural psychology with marketing strategy, particularly in service recovery, crisis management, and brand equity. Articles often explore cross-cultural dynamics in price-quality judgments, impulse consumption, and the moderating role of cultural dimensions like tightness-looseness. His publications appear in top-tier journals such as Journal of Marketing and Journal of Hospitality Marketing & Management . Recent work investigates service robots' impact on consumer evaluations and the interplay between managerial trust and employee performance. Despite no explicitly listed awards, his editorial role and prolific publication record highlight scholarly influence. No advising or grant details are provided, but his editorial contributions and conference engagements (ACR, SCP, AMA) suggest active involvement in academic discourse. His research often intersects with practical applications in hospitality, retail environments, and digital marketing strategies.

Jamal Jokar ArsanjaniView profile

Professor

• Remote Sensing
• Climate Change
• Land Use Change
• +5 more

Jamal Jokar Arsanjani is a full professor in Geoinformatics and Earth Observation at Aalborg University (Denmark), leading the Geoinformatics & Earth Observation group. He holds a PhD from the University of Vienna (2011), with postdoctoral research at Heidelberg University supported by an Alexander von Humboldt fellowship (2012–2015). His academic career includes roles as a UN consultant in Vienna and senior scientist at Heidelberg's GIScience group. Research focuses on integrating geospatial data with computational models to address complex environmental challenges, including land use change, climate impacts, and natural hazards. Key methodologies include agent-based modeling, machine learning, and remote sensing. He contributes to UN Sustainable Development Goals, particularly SDGs related to climate action, sustainable cities, and responsible consumption. Recent projects include 'PROMISE' (micro-mobility integration in urban transport) and 'AI4Covid' (AI-driven pandemic monitoring). Awards include the Springer Outstanding PhD Dissertation (2012) and an Earth Observation award (2020). He serves on the European Environment Agency board and edits the journal Land . Research outputs span 105+ publications since 2008, emphasizing urban sustainability, disaster resilience, and geospatial technologies. Active in 7 ongoing projects and 45+ academic activities, he advises on policy and innovation in smart cities and climate adaptation.

• Sustainable Construction
• Artificial Intelligence in Construction
• Built Environment Sustainability
• +3 more

Cheng Siew Goh is an Assistant Professor at Northumbria University's Architecture and Built Environment Department. His research focuses on sustainable construction practices, AI applications in construction, and climate resilience strategies. He has led projects addressing eco-social vulnerabilities and participatory design approaches across the UK, the Netherlands, and Norway. Goh has published extensively on topics including green building technologies, risk management, and the triple bottom line framework in construction. Research interests include integrating artificial intelligence into construction processes for efficiency gains, evaluating socio-economic-environmental impacts of sustainable projects, and enhancing climate resilience through adaptive design. His work emphasizes human-centric solutions, balancing technological innovation with user needs and environmental stewardship. Key contributions include exploring AI applications for optimized sustainability performance in buildings, assessing emotional intelligence among construction stakeholders during crises, and developing frameworks for green project lifecycle management. Goh's research often bridges theoretical concepts with practical implementation challenges in the built environment sector. He has secured funding through the British Academy for a project investigating eco-social vulnerabilities and participatory design methodologies. This work aims to bridge knowledge gaps between policy, practice, and community engagement in sustainable urban development.

Jiabin LuoView profile

Senior Lecturer

• Transportation and Logistics
• Maritime Shipping and Port Operations
• Production Planning and Inventory Management
• +5 more

Dr. Jiabin Luo is a Senior Lecturer in Business Analytics at Aston University's Aston Business School, within the College of Business and Social Sciences. She holds a PhD in Management Science from the University of Southampton and has held academic and research roles at institutions including Coventry University and De Montfort University. Her research focuses on optimization and decision-making in logistics, supply chain management, maritime shipping, and production planning. She is Programme Co-Director of the MSc Degree Apprenticeship in Digital & Technology Solutions Specialist. Education: PhD in Management Science, University of Southampton, UK MSc in Risk and Stochastics, London School of Economics and Political Science, UK MSc in Statistics, University of Nottingham, UK BSc in Mathematics, Zhongshan University, China PGCert in Learning and Teaching in Higher Education Research Interests: Transportation and logistics optimization Maritime shipping and port operations Production planning and inventory management Supply chain management and sustainability Fuzzy optimization and scenario-based modeling Recent Research Trends: Her work emphasizes optimization techniques in logistics systems, including automated container terminals, intermodal transport, and risk management. Recent articles explore machine learning for credit risk prediction and geospatial analysis of traffic datasets. Awards and Memberships: Fellow of The Higher Education Academy Member of The Operational Research Society Member of British Academy of Management Grants and Collaborations: Newton Researcher Links: Strategy & Policy Innovation in Supply Chain Management (2018) Newton Researcher Links: Emission Control in Green Port Development (2017) EPSRC Grant: Resilience of Manufacturing Supply Networks (2013–2016)

Shilpa IyannaView profile

Senior Lecturer

• Sustainable Consumption
• Consumer Behavior
• Responsible Consumption Patterns
• +3 more

Dr. Shilpa Iyanna is a Senior Lecturer in Marketing at the Newcastle Business School, Northumbria University since July 2022. With over two decades of academic experience, she previously served at Abu Dhabi University, renowned for its AACSB and EQUIS accreditations. Her research focuses on sustainable consumption, consumer behavior, and value co-creation, with a particular emphasis on drivers of responsible consumption patterns and environmental attitudes. Dr. Iyanna holds a PhD in Marketing from the University of Nottingham, supported by the prestigious Nottingham University Business School PhD Scholarship. Her interdisciplinary research integrates environmental sustainability with consumer psychology, examining topics such as plastic reduction, second-hand consumption barriers, and pro-environmental behavior in public organizations. Notable publications include studies on sustainable commuting in the UAE and service quality in Islamic tourism contexts. She has contributed to over 20 peer-reviewed articles since 2011, addressing themes ranging from digital healthcare transformation to cultural influences on consumer behavior. Awards: Recipient of the Nottingham University Business School PhD Scholarship. Research Themes: Sustainable Consumption, Consumer Behavior, Value Co-Creation, Environmental Management.

Peter MaurerView profile

Senior Lecturer

• Political Communication
• Media Studies
• Digital Media Analysis
• +3 more

Peter Maurer is a Senior Lecturer in Media and Communication Research at Karlstad University's Department of Geography, Media and Communication. He holds a doctorate from Freie Universität Berlin (2011) and a master's in political science from Johannes Gutenberg-Universität Mainz. His research focuses on populist communication, political journalists' perceptions of media, automated frame analysis, and digital media dynamics. Maurer currently teaches in the Digital Media and Analysis (DMA) program, convening courses like Media Audiences in the Digital Age and Digital Methods . He leads the Journalistic Role Performance project (2021-2024) as Co-Principal Investigator and is Sweden's representative in the COST Action OPINION network. Notable grants include an Ander Foundation award (2025-2029) for studying disinformation detection via computational methods. His work bridges media studies with political science, emphasizing digital platforms' role in contemporary communication. Publications highlight crisis communication (e.g., pandemic reporting), transnational comparisons of media systems, and the intersection of populism with social media. His research often employs computational methods to analyze large-scale data, such as automated frame detection in journalists' tweets. Labs/Teams: NODE research group at Karlstad University, COST OPINION Tools working group Grants: SEK 7.5M Ander Foundation grant, Faculty of Arts and Social Sciences funding (2024)

• Health Services Research
• Health Economics
• Public Health
• +4 more

Professor Steven McPhail is a leading academic in health systems innovation and health services research at Queensland University of Technology (QUT). He holds dual roles as Director of the Australian Centre for Health Services Innovation (AusHSI) and the Centre for Healthcare Transformation. His research focuses on improving healthcare delivery through evidence-based strategies, particularly for vulnerable populations. He has secured over $120 million in competitive research funding and published over 300 peer-reviewed articles. His work influences global health policy, cited by organizations like the WHO, World Bank, and OECD. Education: PhD (University of Queensland) and Bachelor of Physiotherapy (University of Queensland). Research interests include health economics, telemedicine, and diabetes-related complications. His recent studies explore opioid use in spinal cord injury, cost-effectiveness of medical interventions, and mobile health applications for chronic disease management. He supervises doctoral and master’s students in health services research and clinical epidemiology. Labs/Teams: Leads AusHSI and the Centre for Healthcare Transformation. Collaborates internationally on improving care quality and reducing healthcare costs. Current projects focus on virtual hospitals, clinical decision support systems, and global vaccination trends. His work emphasizes patient-centered care and health equity.

Kenza LamotView profile

Assistant Professor

• Journalism
• Media Ethics
• Digital Journalism
• +3 more

Dr. Kenza Lamot is an Assistant Professor at the Department of Language and Communication, Vrije Universiteit Amsterdam (Faculty of Humanities). She specializes in the intersection of data, technology, and journalism practices, particularly focusing on journalist-audience dynamics and the role of analytics in newsrooms. Her research examines how technological innovations shape journalism's evolution, including content promotion strategies, social media engagement metrics, and ethical implications of audience-driven reporting. Research Interests: Her work spans digital journalism, media ethics, audience engagement, and the impact of analytics on news decision-making. She explores topics like Facebook content strategies, paywall models, and political journalists' perceptions of public opinion. Recipient of the ICA Journalism Studies Division Outstanding Dissertation Award (2022) Received NWO-Talentprogramma Veni Grant (2024) and Regeling Journalistiek Onderzoek Grant (2024) Teaches courses on journalism practice, media ethics, and emerging technologies in journalism Grants & Awards: Lamot has been recognized for her research on journalism analytics, including studies on newsroom metrics and their influence on content creation. Her work bridges theoretical and applied perspectives, addressing contemporary challenges in digital media.

Tim WelshView profile

Professor

• Perception
• Cognition
• Cognitive Neuroscience
• +6 more

Dr. Timothy Welsh is a full-time Professor in the Action & Attention Lab at the University of Toronto's Faculty of Kinesiology & Physical Education , where he also serves as Associate Dean, Research since 2023. With cross-appointments from the Faculty of Physical Education and Health, his work bridges cognitive neuroscience and motor behavior research. Academic Background Ph.D. in Human Biodynamics (McMaster University, 2002) M.Sc. in Human Biodynamics (McMaster University, 1999) B.P.H.E. in Physical and Health Education (University of Toronto, 1997) Dr. Welsh's research explores neural mechanisms of goal-directed actions across typical and neurodiverse populations. His lab investigates joint action dynamics , self-objectification effects on motor performance , and cross-reality sensorimotor adaptation , with significant focus on autism and developmental coordination disorder. Recent publications (2024-2025) reveal systematic differences in motor imagery between autistic and non-autistic adults , gender-specific learning patterns , and cross-modal sensory integration challenges in mixed reality environments . These studies demonstrate his lab's expertise in combining behavioral experimentation , EEG analysis , and computational tool development like TAT-HUM. Scientific Recognition Franklin Henry Young Scientist Award Early Distinguished Career Award (NASSP) Outstanding Graduate Supervision Award As principal investigator on 15 active grants (2015-2027), including projects on digital health platforms for concussion rehabilitation and AI-assisted VR learning modules , Welsh's work impacts both basic science and applied interventions. His lab trains students at all levels through KPE 362 (undergraduate) and KIN 5514 (graduate) courses.