Find Academic Supervisors

Jennifer EdmondView profile

Associate Professor

• Digital Humanities
• Research Infrastructures
• Open Science
• +2 more

Jennifer Edmond is Associate Professor of Digital Humanities and co-director of the Trinity Center for Digital Humanities at Trinity College Dublin, where she also directs the MPhil in Digital Humanities and Culture. She holds a PhD in Germanic Languages and Literatures from Yale University and specializes in applying advanced methods and infrastructures for arts and humanities research. Her research focuses on Digital Humanities, Research Infrastructures, Open Science, Cultural Heritage, and Knowledge Technologies. She has developed significant expertise in European research policy, having coordinated the €6.5m CENDARI FP7 project and participated in numerous EU initiatives including PARTHENOS, Europeana Cloud, and the Computational Literary Studies Infrastructure (CLS Infra). Dr. Edmond maintains an active publication record exploring digital scholarly editing, privacy in literary texts, open science practices, and cultural heritage narratives. Her recent work demonstrates a strong focus on the intersection of technology and democracy, digital ethics, and innovative methodologies for humanities research. Awards and Honors: Named one of Ireland's five 'Champions of EU Research' (2012) She served as President of DARIAH-EU's Board of Directors (2018-2022) and represented the organization on the European Commission's Open Science Policy Platform. Dr. Edmond has contributed to strategic developments at national and institutional levels, while actively promoting public outreach through various media formats and art installations.

Pedram MortazaviView profile

Assistant Professor

• Structural Engineering
• Earthquake Engineering
• Steel Structures
• +5 more

Pedram Mortazavi is an Assistant Professor at the University of Minnesota, based in the Civil Engineering Building, Minneapolis, with contact details including email pmortaza@umn.edu and office address 236 Civil Engineering Building, 500 Pillsbury Drive SE. His research centers on structural resilience through: Steel structures and large-scale experimental testing Cast steel energy dissipative systems and passive control devices (damping/isolation) Self-centering systems to mitigate residual deformations Advanced simulation methods including hybrid and multi-platform techniques Validation and codification of new structural systems for seismic applications Analysis of his 2023-2025 publications reveals concentrated work on eccentrically braced frames with replaceable cast steel links, hybrid simulation methodologies, and low-cost re-centering solutions. His research consistently targets enhanced seismic performance, ductility, and resilience via experimental validation and practical design innovations, with significant focus on friction mitigation in multi-axial testing and ultra-low cycle fatigue of structural components.

Janice McGregorView profile

Associate Professor

• Language Learning and Teaching Ideologies
• Intercultural Learning in Study Abroad
• Qualitative Research Methods in Applied Linguistics
• +3 more

Janice McGregor is an Associate Professor of German Studies at the University of Arizona, affiliated with the College of Humanities and the Interdisciplinary PhD program in Second Language Acquisition and Teaching (SLAT). She holds a PhD in German Applied Linguistics from Penn State and previously served as Assistant Professor of German at Kansas State University (2012–2018). Her research focuses on three core areas: ideologies in language learning/teaching, discourses around intercultural learning in study abroad, and reflexive qualitative research methods in applied linguistics. She emphasizes the importance of examining social interactions and authentic language use patterns across communities. Her work critiques traditional methodologies in study abroad research, advocating for more reflexive and decolonized approaches. Notable contributions include analyzing interactions in study abroad contexts, the role of authenticity in language learning, and the ethical dimensions of global mobility programs. Current courses include GER 244 (Real Talk: Why Language Matters) and GER 508 (Approaches to German Studies). Her research methodologies often integrate autoethnography and critical discourse analysis. McGregor’s articles consistently address themes of agency, authenticity, and methodological innovation. Recent work explores ungrading practices and the use of technology in L2 learning. She actively participates in academic discourse through her contributions to conferences like the Tucson Humanities Festival and her involvement in curricular decolonization initiatives.

• Bayesian Statistics
• Ecological Statistics
• Capture-Recapture Modeling
• +5 more

Prof. Ruth King is the Thomas Bayes’ Professor of Statistics at the University of Edinburgh’s School of Mathematics. Her research focuses on applying Bayesian statistical methods to ecological and public health challenges, including population estimation for hidden groups (e.g., injecting drug users, modern-day slaves) and wildlife conservation. She develops computationally efficient techniques for analyzing large datasets, such as spatial capture-recapture models for animal populations and spatio-temporal abundance models for hidden human populations. Key projects include estimating survival rates of guillemots (30,000 individuals) and improving capture-recapture models to account for animal movement dynamics. Her work bridges statistical methodology with real-world applications, emphasizing rigorous inference and scalable algorithms. King’s academic contributions span Bayesian modeling frameworks, parameter clustering in neuroscientific data, and hierarchical centering in random effects models. She collaborates with biologists and policymakers to address conservation and public health issues. Notable recent projects include incorporating memory effects into spatial capture-recapture models and developing semi-complete data augmentation for state-space models. Her interdisciplinary approach addresses challenges in ecology, epidemiology, and computational statistics, with a focus on methodological innovation for large-scale data. Her scientific contributions are highlighted through over 100 peer-reviewed articles, including work on integrated population models, animal movement dynamics, and hidden Markov models for seabird behavior. King emphasizes the importance of statistics in uncovering hidden information within datasets, advocating for robust methodologies that ‘stand up in court’ when applied to critical real-world problems.

• Ophthalmology
• Corneal Surgery
• Laser Vision Correction
• +3 more

Dr. John Males is a Clinical Senior Lecturer at the University of Sydney and Director of Ophthalmology Training at Sydney Eye Hospital. His clinical and research expertise focuses on corneal surgery, cataract surgery, and laser vision correction. He pioneered Descemet's Stripping Automated Endothelial Keratoplasty (DSAEK) in Australia and is conducting clinical trials on Collagen Cross-Linking for keratoconus. His research spans corneal transplantation techniques, refractive error management, and ocular surface regeneration. Dr. Males holds roles as a consultant at major hospitals and serves as an examiner for the Royal Australian & New Zealand College of Ophthalmologists. Research interests include corneal biomechanics, surgical innovation for keratoconus, and outcomes analysis of cross-linking therapies. He leads studies on corneal densitometry, dry eye correlations, and long-term efficacy of surgical interventions. His work bridges clinical practice with translational research in regenerative medicine and ocular surface engineering. Publications span over 20 years, emphasizing corneal transplantation advancements, keratoconus management, and surgical complication resolution. His contributions to global consensus guidelines for endothelial keratoplasty highlight leadership in standardizing surgical practices.

• Innovation Policy
• Patent Economics
• Intellectual Property
• +2 more

Alan Marco is an Associate Professor at the Jimmy and Rosalynn Carter School of Public Policy within Georgia Tech's Ivan Allen College of Liberal Arts. His research focuses on innovation policy, patent economics, and intellectual property strategy. Previously, he served as Chief Economist at the U.S. Patent and Trademark Office (USPTO), where he co-created PatentsView.org and led the Cancer Moonshot Patent Challenge. Research interests span antitrust regulation, patent valuation, technology markets, and empirical legal studies. Marco holds a Ph.D. in economics from UC Berkeley and a B.A. from Skidmore College. Publications demonstrate expertise in patent analytics, with recent work examining strategic citation behaviors, FRAND royalty calculations, and links between antitrust enforcement and innovation. Research methodologies emphasize large-scale data analysis of USPTO records, litigation outcomes, and market transactions.

Maria T. SchultheisView profile

Professor

• Neurorehabilitation
• Virtual Reality Technology in Psychology
• Driving Capacity After Neurological Compromise
• +3 more

Maria T. Schultheis is a Professor in Drexel University's Department of Psychological and Brain Sciences and holds a joint appointment in the School of Biomedical Engineering, Science and Health Systems. As Interim Director of Clinical Training, she oversees clinical psychology education. She earned her PhD in Clinical Psychology from Drexel University in 1998. Her research focuses on neurorehabilitation, particularly applying virtual reality (VR) technology to assess and improve driving capacity and everyday functioning in individuals with neurological disorders like traumatic brain injury, stroke, and multiple sclerosis. She has pioneered VR-based driving simulators for clinical evaluation and rehabilitation. Her work integrates clinical psychology, engineering, and transportation science, addressing cognitive, physical, and behavioral demands of driving post-neurological injury. Key projects include developing driving assessment protocols for disabled populations and investigating fatigue management in MS patients. Her interdisciplinary approach has been funded by NIH, NIDRR, and the NMSS. Notable awards include the 2007 APA Early Career Award (Division 40) and recognition from the National Academy of Neuropsychology. Schultheis leads the Applied Neuro-Technologies Lab, emphasizing ecologically valid methodologies. Over 35 peer-reviewed publications and presentations at international forums highlight her contributions. She serves on the National Research Council’s Transportation Research Board, influencing policy on neurological disorders and mobility. Grants have supported projects like VR-based financial competency assessments and understanding dual-task demands in post-concussion driving. Her research also explores decision-making competency in young adults and the neurocognitive correlates of risky driving behaviors. Collaborations with biomedical engineers and transportation specialists reflect her commitment to bridging clinical practice and technological innovation for functional recovery.

LU Wen FengView profile

Adjunct Associate Professor

• Additive Manufacturing
• Robotics
• Smart Manufacturing
• +4 more

LU Wen Feng is an Adjunct Associate Professor in the Department of Mechanical Engineering at the National University of Singapore (NUS), affiliated with the College of Design and Engineering. His research focuses on advanced manufacturing technologies, including additive manufacturing, robotics, and AI-driven systems. He explores sustainable design methodologies, smart manufacturing innovations, and bioprinting applications. Key areas include optimizing material processes, enhancing mechanical properties of printed materials, and developing autonomous robotic solutions for industrial tasks. Contact: mpelwf@nus.edu.sg , located at E3-02-07. Research Interests : His work bridges AI and manufacturing, emphasizing Knowledge graph integration for additive manufacturing, Autonomous robotic systems in industrial settings, Bioprinting for tissue repair with smart bioinks, Topology optimization for lightweight and sustainable structures, Material characterization and process engineering for 3D-printed composites. Recent Article Trends : LU Wen Feng's 2025 articles highlight advancements in AI-augmented manufacturing systems (e.g., MaViLa, AutoMEX) and sustainable design workflows. His 2024 studies address material anisotropy, corrosion behavior, and topology optimization strategies for lattice structures. These trends reflect his interdisciplinary approach to solving challenges in additive manufacturing, robotics, and biomedical applications. Awards : No scientific awards explicitly mentioned. Advising & Grants : No current graduate students or grants listed. His research likely integrates industry-academia collaborations given the focus on applied manufacturing technologies. Labs/Teams : Not explicitly detailed, but his work suggests involvement in advanced manufacturing labs and AI-robotics teams at NUS.

Simon MakView profile

Assistant Professor

• Statistical Modeling
• Bayesian Statistics
• Gaussian Process
• +5 more

Simon Mak is an Assistant Professor of Statistical Science at Duke University and a Faculty Network Member of the Duke Institute for Brain Sciences. His educational background includes: Ph.D. in Statistics, Georgia Institute of Technology (2018) M.S. in Statistics, Georgia Institute of Technology (2018) B.S. in Statistics, Simon Fraser University (2013) Dr. Mak's research focuses on advanced statistical methodologies for complex scientific problems. His expertise spans statistical modeling , Bayesian inference , Gaussian process emulation , and uncertainty quantification . He applies these methods to nuclear physics (heavy-ion collisions), engineering (engine control systems), and music information retrieval, emphasizing scalability and interpretability in scientific computing. Analysis of his 2023-2025 publications reveals dominant trends in scalable Gaussian process methods for massive datasets and multi-fidelity simulations, particularly applied to high-energy physics and engineering systems. He has pioneered innovations in Bayesian optimization for expensive simulators and developed novel frameworks for online change-point detection in streaming data, demonstrating exceptional cross-disciplinary impact. Dr. Mak leads multiple significant research initiatives: Collaborative Research: Cost-Efficient and Confident Sampling for Modern Scientific Discovery (2023-2026) Science-Integrated Predictive modeLing (SCINPL) for scalable scientific computing (2022-2025) The X-SCAPE collaboration for statistically advanced nuclear collision modeling (2020-2025) These projects fund his development of statistical frameworks for scientific discovery in complex systems. He actively contributes to the JETSCAPE collaboration, developing multi-stage frameworks for studying jet quenching in heavy-ion collisions, and applies statistical methods through the Duke Institute for Brain Sciences to advance neuroscience research.

• Software Engineering
• Graph Transformation Systems
• Model-Based Development
• +5 more

Reiko Heckel is a Professor of Software Engineering at the University of Leicester, serving as Director of Postgraduate Teaching for Computing degrees and Data Analytics Lead at the Leicester Innovation Hub. She previously held academic roles at the Technical Universities of Dresden and Berlin before joining Leicester in 2004. Her research focuses on graph transformation systems, model-based development, stochastic modeling, and formal methods in software engineering. She earned her PhD (Dr.-Ing.) in Computer Science from TU Berlin in 1998. Her research interests span software engineering pedagogy, formal specification techniques, and applications of graph grammars in system modeling. Recent work explores stochastic graph transformations for social networks, transparency engineering in AI systems, and blockchain-based smart contract frameworks. Her contributions bridge theoretical foundations with practical applications in cybersecurity, data integration, and human-centric systems design. Key contributions include advancements in automated test case generation via graph transformations, visual contracts for software reverse engineering, and formal methods for complex system analysis. Her work frequently intersects with industry through collaborations via the Leicester Innovation Hub, emphasizing data analytics and technology transfer. Education: MSc Computer Science, Technical University of Dresden PhD (Dr.-Ing.), Computer Science, TU Berlin (1998) Leadership Roles: Head of Department (2014-2018) Director of Postgraduate Teaching (Ongoing) Research Themes: Model-Based Development Stochastic Systems Analysis Graph Neural Networks Trustworthy AI Her publications reflect a focus on formal methods, with recent trends in applying graph transformation techniques to social network modeling, blockchain smart contracts, and educational pedagogy.

Steven SicilianoView profile

Professor

• Soil Toxicology
• Environmental Science
• Polar Ecosystems
• +5 more

Steven Siciliano is a Professor and NSERC/FCL Industrial Research Chair in In Situ Remediation and Risk Assessment at the University of Saskatchewan's College of Agriculture and Bioresources. He leads the CREATE Human and Ecological Risk Assessment Program. His expertise spans soil toxicology, greenhouse gas dynamics in polar ecosystems, and nitrogen cycle interactions in contaminated environments. Education: Ph.D. in Toxicology, University of Saskatchewan B.Sc. in Biochemistry, Concordia University Research Interests: His work focuses on human-soil interaction dynamics, including soil pollution impacts on human health (e.g., PAH toxicity via soil ingestion) and ecosystem resilience (e.g., nitrogen cycle disruptions). He investigates Arctic/Antarctic soil microbiology, greenhouse gas production in polar deserts, and the ecological effects of pollutants like mercury and petroleum hydrocarbons. His lab is divided into toxicology (e.g., metal cardiovascular effects, soil ingestion models) and ecology (e.g., sub-zero water effects on gene expression, Arctic nitrogen cycles). Teaching: Teaches courses on environmental fate analysis, contaminated site management, and advanced risk assessment methodologies at both undergraduate and graduate levels. Courses include EVSC 420, TOX 820, and EVSC 821. Grants & Labs: Directs the CREATE Program and leads projects funded by NSERC and industry partnerships. His lab integrates fieldwork, molecular techniques, and modeling to address environmental remediation challenges. Collaborates on projects like cryoturbation-driven carbon dynamics and microbial community analysis in agricultural systems. Labs/Teams: Active in soil science research teams, including Arctic soil microbiology and bioremediation innovation groups. Engages in interdisciplinary collaborations with environmental engineers and ecologists to advance in situ remediation technologies.

Reed StevensView profile

Professor

• Learning Sciences
• Educational Technology
• Cognitive Science
• +7 more

Reed Stevens is a Professor in the Learning Sciences department at Northwestern University's School of Education and Social Policy (SESP). He holds a PhD in Cognitive Studies in Education from UC Berkeley (1999), an MA from UC Berkeley (1994), and a BA in Mathematics from Pomona College (1987). His research focuses on understanding learning across diverse settings including classrooms, workplaces, and museums, emphasizing how mathematical and technological practices shape cognition. Stevens develops tools like VideoTraces for media annotation and designs innovative educational models such as FUSE Studios to create scalable, interest-driven learning environments. His work bridges cognitive science and sociocultural studies, employing methods like audio-video ethnography and conversation analysis. Key themes include spatial reasoning in making activities, teacher adaptation to facilitator roles, and the diffusion of educational innovations. Stevens collaborates with industry partners to integrate real-world practices into school curricula, addressing challenges in scaling STEAM initiatives and fostering equitable participation. His research has implications for teacher training, curriculum design, and the development of technology-mediated learning tools. Stevens' recent work explores civic data science applications, professional learning in trades like coffee roasting, and the redefinition of scientific practices in education. He actively contributes to debates on expanding what counts as valid scientific inquiry and has published extensively on learning pathways, institutional adoption of innovations, and the role of agency in student-driven projects.

Ivan ColeView profile

Adjunct Professor

• Corrosion Science
• Multiscale Modelling
• Additive Manufacturing
• +7 more

Prof. Ivan Cole is an Adjunct Professor at RMIT University's School of Engineering, specializing in rapid materials discovery for corrosion protection, nanostructures, and additive manufacturing. His work integrates computational modeling with high-throughput experimentation, focusing on corrosion inhibitors, biocompatible surfaces, and additive manufacturing process optimization. With over 30 years of experience across academia and industry (including leadership roles at CSIRO and Centro-Svilluppo Materiali), he leads the Rapid Discovery & Fabrication Team (RDF) to advance these research areas. Research Interests: Corrosion science, microbially induced corrosion (MIC), additive manufacturing surfaces, nanostructure sensing, multiscale modeling, and green materials discovery. His team addresses challenges in corrosion protection, biomedical implants, and environmental remediation through innovative methodologies. Awards: 2019 Australian Corrosion Medal 2016 CSIRO Lifetime Achievement Award 2013 Best Paper in NACE Corrosion Supervision & Projects: Active in mentoring PhD/Master’s students across corrosion inhibition, additive manufacturing, and nanostructure design. Notable projects include developing quorum sensing inhibitors for biofilm control, in-situ monitoring for metal AM, and eco-friendly corrosion inhibitors. Labs & Collaborations: Leads the Rapid Discovery & Fabrication Team and collaborates with industry partners to translate research into practical solutions for materials durability and sustainability.

Kayvon FatahalianView profile

Associate Professor

• Computer Graphics
• Real-Time Rendering
• Machine Learning
• +4 more

Kayvon Fatahalian is an Associate Professor in the Department of Computer Science at Stanford University. His research focuses on real-time graphics, high-efficiency simulation engines for entertainment and AI, and large-scale image/video analysis platforms. He explores intersections of computer graphics, machine learning, and high-performance computing to advance systems for interactive applications and AI-driven tasks. His work includes innovations in rendering pipelines, embodied AI simulations, and generative models for 3D content creation. Recent projects address challenges in multi-agent systems, motion synthesis, and scalable rendering architectures. Fatahalian’s contributions span technical systems, algorithmic frameworks, and foundational research in graphics and AI. Notable areas of exploration include: Real-time rendering optimizations for complex scenes AI-driven motion and style generation from sparse inputs Efficient simulation frameworks for deep reinforcement learning Weak supervision techniques for rare category detection His publications emphasize practical systems with theoretical grounding, often bridging hardware/software co-design principles with modern AI methodologies. Current work includes developing agile hardware accelerators and scalable architectures for next-generation interactive systems.

• Migration Studies
• Ethnic Relations
• Nationalism
• +7 more

Marcel Lubbers is a Professor of Interdisciplinary Social Science: Relations between groups and cultures at Utrecht University's Faculty of Social and Behavioural Sciences. He leads the European Research Centre on Migration and Ethnic Relations (ERCOMER) and serves as a board member of the Interuniversity Center for Social Science Theory and Methodology (ICS). As associate editor of the European Sociological Review (ESR), he significantly influences academic discourse in migration and political sociology. His work represents Utrecht University in the focus area Migration and Societal Change, connecting research with broader societal implications. Professor Lubbers' research program centers on migration's societal impacts, particularly examining how immigration influences nationalism, Euroscepticism, and voting behavior. His work adopts both macro-level perspectives on societal cohesion and micro-level analyses of immigrant integration processes. Recent publications reveal his focus on political extremism, interethnic relations, and the psychological mechanisms behind public attitudes toward migration. His methodology combines large-scale survey analysis, comparative European studies, and longitudinal approaches to track attitude changes over time. Lubbers' scholarly output shows consistent engagement with contemporary political challenges, including analyses of radical right voting patterns, the workplace as a setting for interethnic contact, and the impact of national nostalgia on political attitudes. His research demonstrates methodological sophistication through meta-analyses, mixed-methods approaches, and innovative survey designs like the Dutch Parliamentary Election Study and Dutch Ethnic Minority Election Study. Through web publications on platforms like Stukroodvlees.nl and contributions to the Migration Advisory Council, Lubbers actively bridges academic research and public policy debates. His work provides evidence-based insights on migration policy, electoral behavior, and societal integration that inform both scholarly and policy discussions in the Netherlands and beyond.