Find Academic Supervisors

• Statistical Theory and Modeling
• Lifetime Data Analysis
• Censoring Methodologies
• +1 more

Dr. Katherine Davies is an Assistant Professor in the Department of Mathematics and Statistics at McMaster University. She holds a B.Sc. (2002) and M.Sc. (2004) in Mathematics and Statistics from McMaster, and a Ph.D. in Statistics (2008) from Western University. Prior to joining McMaster, she spent 14 years at the University of Manitoba, where she was promoted to Associate Professor. Her research focuses on statistical theory and modeling, particularly the analysis of lifetime data, censoring methodologies, and distribution theory with applications in engineering and medical sciences. She has supervised multiple graduate students and maintains international collaborations. Dr. Davies teaches undergraduate and graduate courses including Generalized Linear Models, Applied Regression Analysis, and Introduction to Probability. She is an active member of the Statistical Society of Canada and founded the 'Steering Women into Statistics' outreach initiative.

• Public Health Education
• Curriculum and Pedagogy
• Public and Population Health
• +7 more

Emma Apatu is a Part-Time Associate Professor in the Department of Health Research Methods, Evidence, and Impact at McMaster University's Faculty of Health Sciences. She is a member of the Centre for Health Economics and Policy Analysis (CHEPA) and previously served as Director of McMaster's Master of Public Health Program and Interim Director of the Graduate Diploma in Community and Public Health. Dr. Apatu's educational background includes: DrPH from East Tennessee State University MPH from Emory University's Rollins School of Public Health Her research focuses on public health education, curriculum development, and health policy analysis. She has particular expertise in competency-based learning approaches for public health professionals and has conducted extensive work on core competencies for public health practice in Canada. Her research also spans disaster response and recovery, community health, health equity, and the intersection of transportation infrastructure with public health outcomes. Dr. Apatu's recent scholarly work shows a strong emphasis on pandemic response and recovery, particularly examining the impacts of COVID-19 on public health systems and workers. Her publications reveal an interdisciplinary approach that connects public health education with practical policy applications across diverse areas including workforce burnout, physical distancing policies in different global contexts, and strategies for transitioning to a "new normal" post-pandemic. Dr. Apatu has been actively involved in teaching and curriculum development for the Master of Public Health program at McMaster University. Her teaching portfolio includes courses on leadership, applied public health, and professional development studios, demonstrating her commitment to developing the next generation of public health professionals.

Prasanga SamarasingheView profile

Associate Professor

• Audio and Acoustic Signal Processing
• Spatial Audio
• Microphone and Loudspeaker Array Processing
• +7 more

Dr. Prasanga Samarasinghe is an Associate Professor at the Australian National University (ANU) within the College of Systems & Society. Her research focuses on spatial audio, acoustic signal processing, and drone audition. She holds a B.E. in Electrical and Electronic Engineering from the University of Peradeniya (2010) and a PhD in Signal Processing from ANU (2015). Key professional achievements include a 2022 Fulbright Fellowship at Yale University and the 2023 ARC DECRA Fellowship. She has secured significant funding through ARC Linkage, Discovery grants, and industry partnerships with Sony, Dolby, and META. Her industry experience includes roles at Dolby Laboratories and collaborations with defense-related entities like the Australian Signals Directorate. Research Groups: Joint supervisor of ANU Audio and Acoustic Signal Processing Group Professional Roles: Member of IEEE Signal Processing Society's Audio & Acoustic Signal Processing TC (2021–2023), former Chair of IEEE ACT Section's COMMS/SP Chapter (2018–2020) Her work bridges theoretical advancements in spatial audio with practical applications in noise cancellation, drone audition, and virtual acoustics. She actively supervises PhD and Honours students in these areas. Awards: Fulbright Fellowship (2022), ARC DECRA (2023) Industry Collaborations: Sony-Japan, Dolby (Sydney/USA), META (USA), Australian Defence Portfolio

• Cloud Computing
• Distributed Systems
• IoT Service Composition
• +3 more

Dr. Abdessalam Elhabbash is a Lecturer in Distributed Systems at the Department of Computing and Communications, Lancaster University. His research focuses on IoT service composition, cloud computing, and self-adaptive systems. He is affiliated with the Lancaster Intelligent, Robotic and Autonomous Systems (LIRA) Centre and leads research groups such as LIRA - Environmental Modelling and LIRA - Extreme Environments. His work emphasizes ontological architectures for system composition, cloud migration optimization, and AI-driven IoT frameworks like the IoT Whisperer and TRANSITIVE. Elhabbash advises PhD student Qianhui Lin. He is contactable at a.elhabbash@lancaster.ac.uk. Research interests include: IoT service composition using large language models (LLMs) Multi-cloud performance optimization and pricing strategies Autonomous system design through ontological frameworks Predictive maintenance in Industry 4.0 environments Recent publications highlight advancements in cloud migration tools (PricingTheCloud), edge computing architectures (HolonCraft), and self-aware system development. His work bridges theoretical foundations with practical applications in smart home automation and industrial IoT. Labs/Teams: Active member of LIRA's environmental and extreme environment groups, focusing on resilient distributed systems in challenging conditions.

• Exercise Epidemiology
• Physical Activity
• Cognitive Function
• +10 more

Anne Kær Gejl is an Associate Professor at the Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, where she conducts research in the Research Unit of Exercise Epidemiology. Her work bridges public health, exercise science, and educational psychology, with a strong focus on physical activity's role in cognitive and mental health development among children and adolescents. Her research interests center on physical activity , cognitive function (especially inhibitory control and executive function), brain-derived neurotrophic factor (BDNF) , and child development . She investigates how structured physical activity and screen-free interventions can enhance pre-reading, spelling, and mental health outcomes in young populations. Her work often employs randomized controlled trials , systematic reviews , and population-based studies , reflecting a rigorous methodological approach. Recent publications highlight trends in embodied learning , digital screen use , and feasibility of behavioral interventions . Her research consistently emphasizes the integration of physical activity into educational settings to support both academic and psychological well-being. Scientific Awards: None listed in the provided text. Anne Kær Gejl actively mentors students, including PhD candidates such as Anne Sofie Bøgh Malling and Lars Damsgaard. She has been involved in significant research grants related to physical activity interventions and educational outcomes, though specific grant names are not detailed. Her collaborative network includes researchers from public health, sports science, and education disciplines. She is part of the Research Unit of Exercise Epidemiology, contributing to team-based studies on youth health, physical activity monitoring, and cognitive development. Her lab engages in both experimental and observational research, often in school and community settings.

Pernille Heyckendorff SecherView profile

Associate Professor

• Telemedicine
• Digital Health Technologies
• Chronic Disease Management
• +3 more

Pernille Heyckendorff Secher is an Associate Professor in Nursing Science at the Department of Health Science and Technology, Aalborg University (Faculty of Medicine). She holds a PhD in Medical Informatics and has expertise in telemedicine, digital health technologies, and chronic disease management. Her research focuses on co-creating telehealth solutions to empower patients and improve healthcare efficiency. She is also involved in pedagogical innovation, particularly integrating blended learning and problem-based learning (PBL) in health education using digital tools like virtual reality and podcasts. Education: PhD in Medical Informatics (Aalborg University, 2016) MSc in Clinical Science and Technology (Aalborg University, 2012) Bachelor’s in Nursing Education (University College of Northern Denmark, 2010) Research Interests: Telemedicine for chronic diseases (COPD, diabetes in pregnancy), patient empowerment through technology, digital health tools, and pedagogical approaches for Generation Z learners. She emphasizes co-creation with clinicians and patients to design effective solutions. Teaching Contributions: Advocates for blended learning and PBL integration in health education, focusing on dynamic, multimedia-based methods to engage Gen Z students. Leads projects using VR and podcasts for reflective practice in nursing. Administrative Roles: Semester-coordinator at Clinical Science and Technology (Aalborg University). Active in UN Sustainable Development Goals related to health and education. Collaborations: Works with clinicians, patients, and interdisciplinary teams on telehealth projects. Involved in large-scale trials like the Danish TeleCare North Trial.

Jana KreppnerView profile

Professor

• Developmental Psychology
• Child Development
• Relationship-based Interventions
• +7 more

Jana Kreppner is a Professor in Developmental Psychology at the University of Southampton , focusing on the impact of early experiences on child and adolescent development. Her work emphasizes the role of caregiver-child and peer relationships in shaping typical and atypical developmental trajectories, with applications to relationship-based interventions for youth wellbeing. Research funded by ESRC , NIHR , Waterloo Foundation , and Wellcome Trust Interdisciplinary collaborations in Psychiatry , Paediatric Neurology , Education , and Public Policy Kreppner integrates quantitative and qualitative methods in longitudinal studies spanning childhood to young adulthood. Current projects include ADHD interventions for schools , asylum seeker mental health , and neurodevelopmental outcomes after early deprivation . Recent publications highlight trends in developmental psychopathology , AI-assisted narrative analysis , and policy-relevant behavioral research . Her work bridges clinical, educational, and social care domains. Scientific Awards Vice Chancellor Award: Knowledge Exchange & Enterprise (2024) Kreppner supervises PhD students in Psychology , Primary Care , Gerontology , and Politics , with active involvement in translating research into practice through collaborations with NHS , educational institutions , and child welfare organizations .

Sasha TalaveraView profile

Professor

• Financial Economics
• Banking
• Fintech
• +8 more

Sasha Talavera is a Professor in Financial Economics at the Department of Economics, Birmingham Business School, University of Birmingham, where he joined in 2019. He previously held professorial and academic positions at Swansea University, University of Sheffield, Durham University, University of East Anglia, and DIW-Berlin. PhD in Economics, European University Viadrina MA in Economics, Boston College MA in Economics, Kyiv School of Economics BA in Economics, Ostroh Academy His research focuses on financial economics, with specific interests in online prices, big data analytics, banking, fintech, corporate finance, behavioral finance, and emerging markets. His work integrates empirical methods with real-world financial and economic data to address policy-relevant questions. The recent publications reflect a strong trend in analyzing financial behavior under crisis (e.g., war in Ukraine), monetary policy communication, and the application of big data and text analysis in economics. His research spans disciplines including econometrics, financial stability, labor economics, and public choice, often using innovative data sources such as online job ads and social media. Sasha Talavera is actively involved in the academic community, serving on the editorial boards of Bank i Kredyt , Visnyk NBU , and as founder of VoxUkraine.org . He is also an expert for the International Monetary Fund (IMF). He supervises several PhD students, including Zixi Guo, Mohammad Aldoub, and Fei Ge, and has successfully placed past advisees in institutions such as the Capital Market Authority of Kuwait, Aston University, and NHS England. He has not received any explicitly mentioned scientific awards in the provided text. He leads a dynamic research agenda involving big data, crisis economics, and financial decision-making, contributing significantly to both academic and policy-oriented discourse.

• Supply Chain Management
• Operations Management
• Sustainable Supply Chains
• +9 more

Kuntal Bhattacharyya is an Associate Professor in the Department of Marketing and Operations at the Scott College of Business, Indiana State University. He has held significant administrative roles including Department Chairperson (2018–2021) and currently serves as Executive Director (2021–present). He also directs the Center for Supply Management Research (CSMR), fostering industry-academia collaboration. Education: Ph.D., Operations Management (Information Systems Minor), Kent State University, 2011 M.B.A., Management (Minor in Applied Statistics), The University of Akron, 2005 M.S., Electrical Engineering (Semiconductor Fabrication), The University of Texas at Arlington, 2003 B.S., Electrical & Electronics Engineering, BIET, 2000 His research spans Supply Chain Management , Sustainable Supply Chains , Supply Chain Risk Management , and Global Sourcing . He integrates quantitative modeling, blockchain, and Six Sigma methodologies to solve real-world operational challenges. His expertise is reflected in courses such as Global Sourcing (OSCM 455/555), Strategic Supply Chain Decisions (PMBA 612), and the capstone Global Supply Chain Management (OSCM 490). The 15 most recent publications reveal a strong focus on supplier performance modeling , blockchain in supply chains , conflict mineral tracking , and resilience through technology . These works span disciplines including operations research, sustainability, service quality, and humanitarian logistics, demonstrating interdisciplinary depth and practical relevance. Scientific Awards and Honors: Career Readiness Advocate (2020) Dean's Achievement Award (2018) Best Paper Award, Academy of Business Review (2016) Teaching Excellence Award (2015) Outstanding Academic Advisor Award (2017) Summer Research Grants and multiple internal funding awards Dr. Bhattacharyya has secured numerous grants from Indiana State University and external foundations like the Wabash Valley Community Foundation, supporting student research and center development. He actively mentors students through research projects and capstone courses. He has served on key university committees related to strategic planning, diversity, faculty governance, and community engagement. His consulting experience with firms like Toyota Material Handling and Masterbrand Cabinets further strengthens his applied perspective. He leads the Center for Supply Management Research (CSMR) , which serves as a hub for supply chain innovation, student experiential learning, and industry partnerships. The center has received continuous internal funding, reflecting its institutional importance.

Justin St. JulianaView profile

Senior Lecturer

• Biology Education Research
• Community Ecology
• Sustainability
• +3 more

Justin St. Juliana is a Senior Lecturer in the Department of Ecology and Evolutionary Biology at Cornell University, affiliated with the College of Arts and Sciences. His work emphasizes pedagogical innovation in biology and environmental science education, particularly through active learning and accessible digital resources. He teaches undergraduate and graduate courses, including BIOEE 1610 (Ecology and the Environment) and BIOEE 7600 (Science Teaching Preparation). Education: Ph.D., Indiana State University; M.Sc., Ben Gurion University of the Negev; B.S., Iowa State University. Research interests span Biology Education Research, Community Ecology, and Sustainability. He has developed over 100,000+ annual usage educational materials and online courses, including Pearson Interactive Labs. His ecology research focuses on animal behavior, optimal foraging, and predator-prey interactions. Professional roles include serving on the Ecological Society of America’s 4DEE committee and consulting globally on science education. He advocates for inclusive teaching practices and has published extensively on education pedagogy and ecological theory. Teaching and advising: Mentors graduate students preparing for instructional roles. Courses in Fall 2025 include BIOEE 1610 and BIOEE 4980 (Teaching Experience).

Daniel StrüberView profile

Associate Professor

• Model-Driven Engineering
• AI Engineering
• Software Quality Assurance
• +7 more

Daniel Strüber is an Associate Professor in Software Engineering at Chalmers University of Technology and the University of Gothenburg, Sweden, and an affiliate of the Department of Software Science at Radboud University Nijmegen, Netherlands. His research focuses on model-driven engineering, AI engineering, and empirical software engineering, addressing challenges in software quality, variability management, and security. He holds a PhD (summa cum laude) from Philipps University Marburg and has held academic positions including Assistant Professor at Chalmers and postdoctoral roles at King's College London and Philipps University Marburg. Education: PhD in Computer Science, Philipps University Marburg (2011–2016) Diplom (M.Sc. equivalent) in Computer Science, Philipps University Marburg (2005–2011) Research Interests: Strüber's work spans model-driven engineering, AI integration in software systems, and empirical studies. Key areas include: Model-based languages and tools for software quality assurance Machine learning-enabled systems and their engineering principles Robotics software engineering and variability management Formal methods for consistency and security Search-based optimization in model-driven development Recent Contributions: Recent work includes studies on LLM-assisted reverse engineering, empirical analysis of manual abstraction in software systems, and model-driven approaches for edge deployment of ML models. His research bridges theory with practical implementations in domains like robotics and web-based systems. Awards: Best Reviewer Award (SoSyM 2025) Distinguished Reviewer Awards (GPCE 2024, SPLC 2023) Transformation Tool Contest Awards (2020, 2016) EASST Best Paper Awards (ICGT 2020, ICGT 2017) Grants & Leadership: Co-editor of a JSS special issue on Product Line Engineering (2024) and program co-chair of SPLC 2024. Active in conferences like ICSE, ICGT, and MODELS. Leads grants such as the VR SEMLA project (2022–2024) and the DFG EUphORia fellowship (2019). Teaching: Courses include 'Software Engineering for AI Systems' at Chalmers and 'Software Product Lines' at Radboud University. Involves students in real-world projects via GiPHouse, a student-run company.

• Early Childhood Education
• Multicultural Education
• Teacher Preparation
• +6 more

Majida Mehana is a Lecturer in the School of Education within the Faculty of Humanities, Arts, Social Sciences and Education at the University of New England, Australia. She brings extensive international experience, having taught and conducted research in Lebanon, Oman, Qatar, the United Arab Emirates, the United States, and Australia. Her educational background includes a Ph.D. in Curriculum & Instruction from The Pennsylvania State University, an M.A. in Educational Theory and Practice from The Ohio State University, and a B.A. in Human Development–Early Childhood Education from the Lebanese American University. She has focused her career on improving early childhood education systems globally. Dr. Mehana's research centers on early childhood education in multicultural contexts, teacher preparation programs, and comparative educational practices. Her work emphasizes inclusion, bilingual education, and the development of equitable learning environments. She investigates how curricula and policies can better support children from diverse cultural and linguistic backgrounds. Her publications and conference presentations reflect a strong commitment to inclusive and effective early childhood education. Themes across her work include teacher development, language acquisition, inclusion strategies, and educational reform in both Western and Middle Eastern contexts. She has contributed to international handbooks and peer-reviewed journals, highlighting cross-cultural challenges and innovations. Member, Australian Research Alliance for Children and Youth Member, Association of Graduates in Early Childhood Studies Dr. Mehana has supervised students and led research on early interventions, bilingual education, and inclusion. Though no specific grants are mentioned, her extensive publication and presentation record suggests active research engagement. She has contributed to national and international dialogues on early childhood policy and practice. She is involved in academic communities and has presented at major conferences including the Australian Sociological Association, Early Childhood Australia, and the World Federation of Associations for Teacher Education. Her work bridges policy, research, and classroom practice in early childhood education.

Elizabeth ByrneView profile

Lecturer

• Developmental Psychology
• Cognitive Development
• Working Memory
• +6 more

Elizabeth Byrne is a Lecturer in Psychology at the University of East Anglia, affiliated with the School of Psychology and the Developmental Science research group. She is actively involved in research and supervises PhD students. PhD in Psychology, University of Cambridge (2014–2018) MRes Psychology (Distinction), University of Manchester (2012–2013) BSc (Hons) Psychology (First Class), University of Manchester (2008–2011) Her research focuses on cognitive and behavioral development in early childhood, particularly working memory, self-regulation, and the role of guided play in learning. She investigates how educational interventions and adult-child interactions shape developmental outcomes. Her recent publications highlight a strong trend in developmental and educational psychology, with an emphasis on psychometric validation, cognitive architecture, and evidence-based interventions. Key themes include guided play, behavioral assessment tools, and the use of physical manipulatives in learning. Elizabeth Byrne has contributed to impactful research widely covered in media and policy discussions, particularly her meta-analysis on guided play. Her work has been referenced in policy sources and highlighted across news outlets, blogs, and social media platforms. She collaborates with leading researchers such as Joni Holmes and Paul Ramchandani and leads an active British Academy-funded project on cognitive segmentation in problem solving. No formal grants beyond this are detailed, but her research output suggests sustained funding and collaboration. She has contributed to open datasets and engages in public outreach through press and media contributions, promoting evidence-based early education practices.

Norman NgView profile

Lecturer

• Physical Activity
• Mental Health Promotion
• Interprofessional Education
• +4 more

Norman Ng is an Honorary Lecturer at the School of Human Movement and Nutrition Sciences, University of Queensland. His research focuses on physical activity interventions for mental health, sedentary behavior reduction, interprofessional education, and osteoarthritis management. PhD (2008) in Human Movement Studies, University of Queensland His work spans systematic reviews, clinical trials, and behavioral studies, often involving population health analyses and digital health tools. Recent collaborations include projects like Fit4Study and TRACK & ACT to improve student wellbeing through physical activity. Publications highlight expertise in assessing consumer activity trackers, workplace health interventions, and interprofessional education frameworks. He has contributed to understanding socioeconomic disparities in physical activity and behavioral outcomes in clinical settings.

Lijing XinView profile

Assistant Professor

• Magnetic Resonance Spectroscopy (MRS)
• Brain Energy Metabolism
• Neuroimaging
• +3 more

Lijing Xin is an Assistant Professor at the Department of Physics and a research staff scientist at the Center for Biomedical Imaging (CIBM) at Ecole polytechnique fédérale de Lausanne (EPFL), Switzerland. She teaches courses on Biomedical Imaging and Translational MR Neuroimaging, while also contributing to academic administration. PhD in Physics (2010, EPFL) Master's Project (2002-2005) on MRI instrumentation Her research focuses on high-field magnetic resonance spectroscopy (MRS) and MRI for studying brain function and neurological diseases. She develops novel acquisition and quantification methods for 1 H, 13 C, and 31 P nuclei, particularly on 7T clinical platforms . Her work bridges preclinical and clinical research , with collaborations in psychiatry to explore pathophysiology and biomarkers for disorders like schizophrenia and mood disorders. Recent publications include studies on epilepsy , Alzheimer's disease , brain energy metabolism , and neurochemical profiling using advanced MRS and deep learning for psychosis classification. She has contributed to RF coil design , macromolecule suppression , and metabolic pathway analysis across multiple disciplines. She advises PhD students and collaborates on interdisciplinary projects involving neuroimaging hardware , metabolic disease research , and psychiatric biomarker identification . Her lab at EPFL CIBM-AIT develops cutting-edge techniques for high-resolution brain metabolism analysis and clinical translation .