Find Academic Supervisors

• Technology-Enhanced Learning
• Artificial Intelligence in Education
• Online Group Learning
• +3 more

Dr Julie-Ann Sime is a Lecturer in Educational Research at Lancaster University's Faculty of Arts and Social Sciences (FASS). She specializes in technology-enhanced learning (TEL), focusing on inclusive education for neurodiverse learners and innovative pedagogical designs. Her work emphasizes AI integration, virtual learning environments, and group-based learning strategies. Dr Sime has extensive teaching experience across undergraduate, master's, and doctoral programs, including leading the Doctoral Programme in e-Research and Technology Enhanced Learning since 2008. She has supervised over 30 PhD students and examined numerous theses. Her external roles include advising the European Institute of Innovation and Technology (EIT), European Commission grant evaluations, and quality assessments for international universities. Her research spans 30+ years, with over 100 publications and 10+ funded European projects. Notable contributions include the CIELL mobile app (winner of the 2021 ELTon Award) and the Digital Wellbeing Educators initiative. Key areas of focus are inclusive design for dyslexia/ADHD/autism, game-based learning, and virtual/augmented reality applications in education. Dr Sime's awards include the British Council's ELTon for Digital Innovation and multiple ERASMUS+ recognitions. She contributes to academic communities through roles as an external examiner for Heriot-Watt University and active participation in conferences like the Networked Learning Conference. Her current interests include design-based research methodologies, MOOC development, and leveraging emerging technologies such as haptics and holography for enhanced educational experiences. She leads research groups in Social Justice in Education and Technology-Enhanced Learning at Lancaster University.

• Digital Transformation
• Cybersecurity
• Digital Leadership
• +4 more

Professor Niki Panteli is a Professor of Digital Business at Lancaster University's Department of Management Science. Her research focuses on digital transformation, cybersecurity, digital leadership, and inclusivity in technology. She explores trust, identity, and power dynamics in digital platforms and online communities. Notable contributions include studies on gender dynamics in tech sectors, ethical cybersecurity practices, and hybrid workplace dynamics. Professor Panteli holds editorial roles in journals like Information Systems Journal and Information Systems Frontiers , and is a UKAIS Fellow (2025). She supervises PhD students like Seki Liu and leads projects such as the DiScriBE initiative on digital security design. Education: Doctorate in Information Systems (not explicitly stated, inferred from role). Research Interests: Digital platforms, cybersecurity governance, diversity in tech, virtual teams, and hybrid work environments. Her work bridges organizational behavior and technology, addressing challenges like algorithmic bias, remote work adaptability, and cybersecurity policy. Recent projects include analyzing employee experience management systems and medical knowledge sharing via social media. Grants & Projects: Leads the DiScriBE project (2023–2025), focusing on digital security by design. Collaborates on initiatives like Reconfiguring Employee Experience Platforms and Medical Knowledge Flow Analysis . Awards: AIS Women’s Network Mentor Award and UKAIS Fellowship 2025. Professional Activities: Editor for multiple journals, committee roles in ECIS 2024, and workshops on peer review and cybersecurity. Labs/Teams: Part of the Pentland Centre for Sustainability and the Centre for Technological Futures. Engaged with global research networks on digital health and workplace transformation.

Daniel TollView profile

Assistant Professor

• Public Sector Digitalization
• Robotic Process Automation (RPA)
• Automation in Governance
• +3 more

Daniel Toll is an Assistant Professor at Linköping University's Department of Management and Engineering (IEI), within the Information Systems and Digitalization (INDIG) division. His research focuses on the societal and organizational impacts of digitalization, particularly robotic process automation (RPA) in Swedish municipalities. He examines how automation technologies reshape public sector processes, employee roles, and public values such as efficiency, democracy, and equality. As an educator, Toll teaches in Information Systems programs, emphasizing methodological and organizational aspects of IT. He contributes to courses on systems analysis, project supervision, and workshops blending technology with organizational dynamics. His licentiate thesis investigates RPA implementation challenges and outcomes in local governments. Research interests include automation's ethical implications, stakeholder perspectives on digital transformation, and longitudinal analysis of digitalization strategies. Notable work explores 'robot colleagues' in municipalities, organizational readiness for RPA, and the interplay between technology and public values. Toll's publications address barriers to implementation, stakeholder priorities, and sociotechnical imaginaries surrounding automated governance. He collaborates with municipalities to study real-world RPA adoption, highlighting themes like resource constraints, employee adaptation, and societal trade-offs. While no formal awards are listed, his work is part of Linköping University's broader mission to advance industry and societal innovation through research and education. Labs/Teams: Active within INDIG, contributing to interdisciplinary digitalization research. Advising/Grants: No specific grants or student advisees listed, though involved in thesis supervision. News coverage includes analyses on digital solutions' societal impacts and organizational changes.

Jessica Keim-MalpassView profile

Professor

• Health Economics
• Artificial Intelligence
• Implementation Science
• +7 more

Jessica Keim-Malpass is a Professor at the University of Virginia and practicing acute care pediatric nurse practitioner in hematology-oncology. She integrates clinical expertise with research at the intersection of health economics, artificial intelligence, and implementation science. Her federally funded program focuses on improving care for children and families facing serious illnesses including pediatric sepsis, acute myeloid leukemia, end-of-life trajectories, and cancer survivorship. Education includes: MSc Health Economics & Pharmacoeconomics from Universitat Pompeu Fabra/Barcelona School of Management (2021) MSc Regulatory Science (Biotechnology) from Johns Hopkins University (2018) Post-Doctoral Research Fellow at Wake Forest University School of Medicine (2013) PhD in Nursing from University of Virginia (2011) MSN and Pediatric Nurse Practitioner certification from University of Virginia MS in Health Evaluation Sciences from University of Virginia (2005) BS in Biology from Wake Forest University (2004) Her research develops microsimulation models, decision-support tools, and health communication strategies to reduce uncertainty and support patient-centered decision-making. She leads NIH- and AHRQ-funded projects advancing predictive monitoring in acute care settings and healthcare innovation. Publications demonstrate strong focus on pediatric palliative care, health policy analysis, predictive analytics implementation, and health equity research. Recent work examines AI applications in clinical settings, economic evaluations of healthcare interventions, and barriers to care access for vulnerable populations. Honors include: Fellow of the American Academy of Nursing Betty Irene Moore Nurse Innovator Fellow She leads significant federally funded research including: AHRQ R01 on predictive monitoring in acute care cardiology (2022-2025) Gordon and Betty Moore Foundation grant for computational approaches to pediatric sepsis (2020-2023) NSF grant on decision models for drug allocation during shortages (2020-2021) Multiple NIH grants on end-of-life care and pediatric health outcomes As a mentor, she guides PhD nursing students and advances nursing science through interdisciplinary collaborations.

Kelly AldrichView profile

Professor

• Nursing Informatics
• Healthcare Interoperability
• Digital Health
• +7 more

Kelly Aldrich, DNP, MS, RN, is a Professor and Director of Informatics Innovation at Vanderbilt School of Nursing with a secondary appointment in Biomedical Informatics. Board-certified in Nursing Informatics, she brings over 35 years of expertise spanning cardiac/trauma critical care, healthcare transformation leadership, and academic innovation. Dr. Aldrich holds a Doctor of Nursing Practice and MS in Healthcare Systems Leadership/Nursing Informatics from the University of South Florida. Her research focuses on: Healthcare interoperability and trusted data architectures Virtual environments for nurse well-being (MIND Lab) Unique nurse identifiers and digital RN citizen models Clinical informatics integration in operations and education Her recent publications emphasize nursing informatics education, AI in healthcare, interoperability frameworks, and pandemic-response technologies. Publication trends show growing focus on immersive learning technologies and systemic healthcare solutions. Significant honors include: Sara K. Archer Faculty Award (2023, 2021) Fellow, American Academy of Nursing (2022) Dean's Award for Informatics Achievement (2021) HIMSS Fellow She leads industry initiatives including HHS/ONC interoperability task forces, Baxter Healthcare Digital Health advisory, and CDC Healthcare Trust Data Platforms. Dr. Aldrich founded an informatics consulting firm and serves on multiple national cybersecurity and innovation committees.

Manhal AliView profile

Lecturer

• Organisational Economics
• Managerial Economics
• Health Economics
• +3 more

Manhal Ali is a Lecturer in Human Resource Management at the Leeds University Business School, University of Leeds. His expertise spans Organisational Economics, Managerial Economics, Health Economics, Digital Economy, and Data Science. Previously, he held roles as a Lecturer in Business Analytics at Bournemouth University, Research Fellow at Leeds University Business School, and Post-Doctoral Research Officer at the Oxford Department for International Development, University of Oxford. He holds a PhD from the University of Manchester and an MSc from the University of Bristol. His research focuses on healthcare management, data-driven decision-making, and the application of advanced analytics to solve complex organizational challenges. Notable areas include nurse turnover dynamics, pandemic risk management in low-income countries, and the impact of management practices on healthcare outcomes. Ali's work frequently intersects quantitative methodologies like machine learning and regression analysis with real-world policy issues. His recent research highlights include analyzing workforce disruptions during the pandemic and developing predictive models for healthcare system efficiency. He is affiliated with the Centre for Employment Relations, Innovation and Change at the University of Leeds.

Ayse BilginView profile

Professor

• Statistics
• Health Sciences
• Statistics Education
• +3 more

Ayse Bilgin is a Professor in the School of Mathematical and Physical Sciences at Macquarie University, Australia. She serves as Vice President of the International Statistical Institute (ISI) (2025–2029) and held leadership roles in the International Association for Statistical Education (IASE), including President (2021–2023) and Past President (2023–2025). Her research focuses on statistical applications in health sciences and innovative pedagogical methods in statistics education. Educational Background: Ayse holds a BEng, MBA, MMaths, PhD, PostGradDip HE (L&T), and MHE (L&M). She is among the first 100 women in Australia to achieve the title of Professor. Research Interests: Her work spans statistical education, including learning approaches, work-integrated learning, and the ethical use of infographics. She also investigates health-related statistical analyses, such as breast cancer metastasis and biomarker studies. Recent Publications: Her 2024–2025 articles address ethical statistical practices, citizen engagement with open government data, and innovative teaching methods like flipped classrooms. She emphasizes ethical awareness in data visualization and workforce readiness through project work. Awards: Recipient of multiple teaching awards, including the Australian Learning and Teaching Council Citation and finalist for the Eureka Prize. Recognized for excellence in research impacting healthy populations. Grants & Projects: Active in projects like 'Protein Biosignatures for Colorectal Cancer' and 'Academic Integrity Policies for Online Assessment'. Supervised 11 HDR students and 23 Master’s projects, with ongoing co-supervision of 2 PhD candidates. Labs/Teams: Affiliated with the Frontier AI Research Centre and collaborates internationally on statistics education and health research.

Lieve MackenView profile

Associate Professor

• Machine Translation
• Natural Language Processing
• Translation Technology
• +5 more

Lieve Macken is Associate Professor at Ghent University's Department of Translation, Interpreting and Communication within the Faculty of Arts and Philosophy. With 28 years of experience in language technology, she leads research in machine translation, natural language processing, and translation technology applications. Her work bridges academic research and practical implementation through the Language and Translation Technology Team (LT3). Dr. Macken's research focuses on machine translation evaluation, human-machine interaction in translation workflows, literary translation with MT, and educational applications of translation technology. Her work spans multiple dimensions including quality assessment metrics, eye-tracking studies of translation processes, syntactic difficulty prediction, and specialized applications for asylum seekers and language learners. She has pioneered research on translationese in machine translation output and developed methodologies for assessing translation quality through both process and product metrics. Her recent publications reveal a strong trend toward examining the intersection of large language models with traditional machine translation systems, particularly in literary contexts. She investigates how different translation workflows impact textual characteristics, reading effort, and translator productivity. A significant portion of her recent work addresses social applications of translation technology, particularly through the MaTIAS project serving asylum seekers, and educational applications through projects like WiLMa and IVESS. Guest editor of Special Issue 'Advances in Computer-Aided Translation Technology' in Informatics journal (2019) Extensive experience as reviewer/referee for journals, conferences, and research projects External examiner for seven PhD candidates Dr. Macken has supervised numerous PhD projects including Joke Daems' work on translation robots, Arda Tezcan's research on MT quality estimation, and Bram Vanroy's study of syntactic difficulties in translation. She currently supervises the Horizon Europe Marie Sklodovska Curie Fellowship of Paola Ruffo and multiple PhD projects including Margot Fonteyne's WiLMa project and Jasper Degraeuwe's IVESS project. Her research is funded through diverse channels including Horizon Europe, BOF UGent, FWO, and AMIF grants. She coordinates the postgraduate program Computer-Assisted Language Mediation and co-coordinates the European Master's in Technology for Translation and Interpreting (EM-TTI), teaching courses in Computer-Assisted Translation, Machine Translation, and Dissertation. As coordinator of the Language and Translation Technology Team (LT3), Dr. Macken leads a vibrant research group that regularly presents at major conferences including MT Summit, EAMT, and ICTIC. The team's work spans theoretical research in translation technology and practical implementations addressing real-world challenges in scholarly communication, language education, and social integration.

Joey van AngerenView profile

Associate Professor

• Digital Platforms
• Business Models
• Competitive Strategy
• +3 more

Dr. Joey van Angeren is an Associate Professor at the KIN Center for Digital Innovation within the School of Business and Economics at Vrije Universiteit Amsterdam. He holds a PhD in Innovation Management from Eindhoven University of Technology, an MSc (cum laude) in Business Informatics from Utrecht University, and a BSc in Information Science from Utrecht University. His research focuses on the intersection of strategy and technology, particularly digital platforms, with publications in journals like Strategic Management Journal and Organization Science. He has been recognized with multiple Best Reviewer Awards from the Academy of Management's TIM Division (2018, 2019, 2024) and his dissertation was a finalist for the Best Dissertation Award. Research interests include platform ecosystems, competitive strategy, and optimal distinctiveness in digital markets. He teaches courses on digital innovation, information systems, and research methods, including 'Introduction to Digital Innovation' and 'Analyzing Digital Data in Business Research'. Education: PhD in Innovation Management, Eindhoven University of Technology MSc (cum laude) in Business Informatics, Utrecht University BSc in Information Science, Utrecht University Projects: Active in the EDIH NWNL project focusing on SME digitalization, AI transformation, and High Performance Computing. Awards: 3 Best Reviewer Awards (TIM Division, Academy of Management), Dissertation Finalist (2020), and Student Paper Award (2016). Grants: Multiple grants including Best Reviewer recognitions and project funding. His research explores platform governance, venture capital impacts, and complementor dynamics. Recent articles analyze M&A activity in platform ecosystems, moral motives in governance, and optimal revenue model strategies. He actively participates in workshops and lectures on AI and digital innovation.

Marleen HuysmanView profile

Professor

• Digital Innovation
• New ways of working
• Technology in practice
• +5 more

Marleen Huysman is a Full Professor at Vrije Universiteit Amsterdam (VU), serving as Director of the KIN Center for Digital Innovation and Head of the Department of Knowledge, Information and Innovation within the School of Business and Economics. She holds additional roles at the Network Institute and is an Erling Persson Visiting Professor at Stockholm School of Economics (2024–2025). Her research focuses on digital innovation, new work practices, and organizational knowledge dynamics, with over 192 publications and 22 supervised PhD theses. Education: Bachelor's in Sociology (Erasmus University Rotterdam) PhD in Business Economics (VU University Amsterdam), focusing on Organizational Learning and IT Research Interests: Her work bridges organizational studies and digital innovation, emphasizing technology in practice, knowledge sharing, and creativity. Key themes include AI ethics, workplace augmentation, data-driven decision-making, and the societal impact of digital tools. She actively contributes to journals like Journal of Management Inquiry and Journal of the Association for Information Systems . Grants & Awards: Notable recognitions include the 2022 Journal of Strategic Information Systems Best Paper Award and significant NWO grants (€599,768 in 2014). Her projects address challenges like hybrid work policies at VU and data-driven value creation in sales organizations. Teaching & Leadership: She teaches digital innovation at both undergraduate and doctoral levels, including VU’s Honours Programme and the KIN Summer School. She chairs editorial boards for Journal of Strategic Information Systems and contributes to policy advisory roles at the Netherlands Ministry of Social Affairs. Labs & Initiatives: The KIN Center drives digital innovation research, collaborating globally on smart city projects, predictive policing, and AI ethics. Her work often intersects with UN Sustainable Development Goals, emphasizing societal and environmental impact.

Andrew CaplinView profile

Professor

• Cognitive Economics
• Economics of Attention
• AI and Human-AI Collaboration
• +5 more

Andrew Caplin is a Silver Professor of Economics at New York University, leading the Sloan Foundation Program on Cognitive Economics. He holds a Ph.D. from Yale University (1983) and a B.A. from Cambridge University (1978), both in Economics. His research focuses on cognitive economics, exploring decision-making processes, AI-human collaboration, and their implications for policy and business. Caplin's groundbreaking work includes authoring An Introduction to Cognitive Economics: The Science of Mistakes , which establishes cognitive economics as an interdisciplinary field analyzing decision errors and their societal impacts. His research spans topics such as economic fluctuations, housing market design, and the cognitive economy’s labor market transformation. Caplin’s recent studies emphasize clear communication protocols to reduce decision-making errors, evidenced by his work in Mexican labor courts where indexed case files halved successful appeals. He also pioneers equity-sharing mortgages through Genrae, aiming to revolutionize housing finance. His Copenhagen Life Panel study tracks career trajectories and earnings resilience in the cognitive economy, while his Accelerator for Cognitive Economics initiative promotes interdisciplinary research and education. Caplin’s work bridges academia and practice, influencing policy through frameworks like clarity-by-design for legal and financial disclosures. His research collaborations include studies on subjective earnings risk, worker productivity, and the role of AI in shaping career adaptability. He advocates for educational reforms to teach decision-making skills, emphasizing calibration and proper scoring rules. Caplin’s contributions span theoretical advancements, empirical studies, and practical applications, positioning him as a leader in redefining economics in an AI-driven world.

K.D. JoshiView profile

Professor

• IT Workforce Issues
• Broadening Participation in STEM
• Knowledge Management
• +4 more

Dr. K.D. Joshi is a Professor of Information Systems in the College of Business at the University of Nevada, Reno. She holds a PhD in Business Administration from the University of Kentucky and advanced engineering degrees from the University of Michigan and University of Delhi. Her research focuses on IT Workforce Issues, Broadening Participation in STEM, Crowdsourcing, and Health IT, with over 5,570 citations (h-index 27). She has secured $5M+ in NSF grants and serves on editorial boards of Information Systems Journal and Journal of AIS. Education: PhD (1998, University of Kentucky), MS Engineering (1992, University of Michigan), MA (1990) and BA (1988) from University of Delhi. Research highlights include investigating IT workforce diversity, chronic disease self-management via technology, and ethical AI applications. She pioneered studies on military veteran IT career pathways and gender equity in tech careers. Her work has been featured in PBS NewsHour, Salon.com, and London School of Economics Business Review. Teaching innovations include technology courses blending technical and managerial perspectives. Active in professional leadership roles at ICIS, HICSS, and AMCIS conferences. Current projects explore AI/Blockchain convergence, generative AI in education, and mitigating algorithmic biases.

Majd SakrView profile

Teaching Professor

• Online Learning
• Technology Enhanced Learning
• Cloud Computing
• +6 more

Majd Sakr is a Teaching Professor at the Computer Science Department of Carnegie Mellon University (CMU), where he has been actively involved in curriculum development, educational research, and project-based teaching since 2007. His academic career spans teaching courses like 15-319/15-619: Cloud Computing , 15-719: Advanced Cloud Computing , and 15-213: Introduction to Computer Systems , with course materials available across multiple CMU global campuses. He is affiliated with the Technology for Effective and Efficient Learning (TEEL) Lab , which focuses on learning methods, technology for learning systems, and workforce training. Research Interests include: Online and technology-enhanced learning Cloud computing systems and infrastructure Cross-cultural human-robot interaction (HRI) with a focus on Arabic accents Curriculum development for AI/workforce training Recent Article Trends analyze generative AI in education, cloud computing performance optimization, and collaborative programming pedagogy. His work explores LLMs' efficacy in programming assessments, auto-grading feedback, and cross-cultural HRI dynamics. Scientific Awards : Best Paper Award, Fourteenth International Conference on Machine Learning (1996) Grants & Collaborations include AWS Educate, Microsoft Azure Educator Grant, and Google Cloud Platform support for his cloud computing courses. He has co-authored publications with colleagues on AI workforce training, data pipeline analysis, and AI-driven collaborative learning frameworks.

Neave O'CleryView profile

Associate Professor

• Data Science
• Urban Systems
• Economic Development
• +4 more

Neave O'Clery is an Associate Professor at the Centre for Advanced Spatial Analysis (CASA) at University College London (UCL), leading a research group focused on data-driven models for economic development and urban systems. She holds additional roles as Visiting Professor, Research Fellow, and Lecturer. Previously, she was a Senior Research Fellow at the University of Oxford’s Mathematical Institute (2016–19) and a Fulbright Scholar/Postdoctoral Fellow at Harvard Kennedy School’s Center for International Development (2013–16). She earned a PhD in mathematics from Imperial College London (2009–13). Education: PhD in Mathematics, Imperial College London (2009–2013) Bachelor’s/Master’s degrees (implied) Research Interests: O'Clery’s work bridges data science, urban systems, and economic development. She explores network dynamics, industrial agglomeration, and policy-relevant applications of complex systems theory. Her methodologies combine mathematical modeling with real-world socioeconomic analysis. Publications: Recent work spans AI’s societal impacts, network prediction models, and industrial development theories, reflecting her interdisciplinary approach. Awards: Fulbright Scholar (2013–2016) Advising & Grants: Founder and Editor-in-Chief of Angle journal (since 2009), focusing on policy-science intersections. Active in grant-funded research at UCL, Oxford, and Harvard. Labs/Teams: Leads the economic development research group at CASA, collaborating with interdisciplinary teams on urban and industrial systems modeling.

• Business Model Innovation
• Technology-Enabled Personalization
• Ecosystem Innovation
• +5 more

M.S. Krishnan is the Accenture Professor of Computer Information Systems and Professor of Technology & Operations at the University of Michigan's Ross Business School. He currently serves as faculty director for the Business+Tech initiative and CK Prahalad and India Initiatives, following his tenure as associate dean for global initiatives (2014-2021). His educational background includes: PhD in Information Systems, Carnegie Mellon University (1997) MS, Carnegie Mellon University (1993) MS in Mathematics and Computer Applications, University of Delhi (1987) BS in Mathematics and Computer Applications, University of Delhi (1984) Dr. Krishnan's research centers on business model innovation, technology-enabled personalization, and ecosystem innovation, with significant contributions to corporate IT strategy and the business value of technology investments. His work bridges software quality, productivity, and customer satisfaction in global business contexts, emphasizing co-creation and networked value generation as demonstrated in his award-winning book with C.K. Prahalad. His publication trends reveal deep engagement with digital transformation across sectors, examining CEO compensation effects on IT investments, digital twin applications in construction, and IT's impact on government efficiency. Recent work increasingly integrates AI, blockchain, and human resource practices to amplify technology returns, reflecting his interdisciplinary approach spanning information systems, strategic management, and operations. Key recognitions include: ICIS Best Dissertation Prize for software product management research ASQ's 21 Voices of Quality for the 21st century (2000) Top Business Technology Thinker by Informationweek-Optimize (2004) The Economist/BusinessWeek Best Innovation Book award (2008) He actively advises doctoral students and leads major research initiatives, with extensive consulting for Ford, IBM, Tata Group, and Infosys across the US, India, and Thailand. His grant-funded work focuses on technology strategy implementation and organizational capability development. Dr. Krishnan co-founded Ross's Business+Tech initiative to integrate technology fluency across business disciplines and directs the CK Prahalad and India Initiatives to foster academic-industry collaboration with Indian enterprises.