Find Academic Supervisors

• Child Protection
• Early Childhood Education
• Youth Justice
• +4 more

Dr Rhiannon Pilkington is an Associate Professor in the School of Public Health at the University of Adelaide and co-Director of the BetterStart Health and Development research group. She holds dual affiliations with the BEBOLD platform and the Thriving Families initiative under the University of Adelaide. Her work focuses on translational research, leveraging linked administrative data to address health and development needs of disadvantaged children and families. She collaborates extensively with Australian government and non-government organizations to inform policy and service design. Affiliations: School of Public Health, BetterStart Group, BEBOLD Platform Key Expertise: Quasi-experimental methods, child protection, early childhood education, youth justice Research Interests: Rhiannon’s work spans child protection systems, early childhood development, and the long-term impacts of policies on health equity. Her methods emphasize data analytics and multi-sector collaboration to bridge research and practice. She leads projects on topics such as maternal substance use, mental health disparities, and intergenerational welfare dynamics. Publications Trends: Recent work highlights child protection as an early prevention tool, disparities in service access for culturally diverse populations, and the intersection of youth justice and mental health. Her studies often utilize large-scale linked datasets to quantify policy impacts. Grants: NHMRC Grant-Funded Researcher (C) Advising: Eligible to supervise Masters/PhD students Labs/Teams: Co-leads the BetterStart Health and Development Group and the BEBOLD platform, fostering interdisciplinary research to improve child and family well-being.

• Artificial Intelligence
• Machine Learning
• Internet of Things
• +13 more

Edoardo Patti is an Associate Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy. He is actively involved in research and teaching, focusing on artificial intelligence, machine learning, IoT, smart grids, energy communities, co-simulation, and digital twin technologies. He is a member of the EDA (Electronic Design Automation) research group and the Interdepartmental Center IAM@PoliTo for Integrated Additive Manufacturing. His research interests span Artificial Intelligence, Machine Learning, Internet of Things, Smart Grids, Energy Communities, Co-simulation, Distributed Software Infrastructure, Digital Twin, Physics-Informed Neural Networks, and Reinforcement Learning . His work is closely aligned with Sustainable Development Goals such as Affordable and Clean Energy (Goal 7), Sustainable Cities (Goal 11), and Climate Action (Goal 13). The latest publications reveal a strong trend in AI-driven modeling for energy systems, including digital twins for wave energy converters, urban electric mobility simulation, real-time battery health estimation, and co-simulation platforms for integrated energy systems. His work combines machine learning with physical models and large-scale distributed systems to address sustainability challenges. He supervises several PhD students, including Maria Adelaide Loffa, Matia Torlini, Rafael Natalio Fontana Crespo, Pietro Rando Mazzarino, Claudia De Vizia, and Marco Massano. He has led numerous research projects funded by EU (H2020), PNRR, regional initiatives, and corporate contracts, particularly in additive manufacturing, smart grids, and IoT platforms. He is involved in multiple research groups and centers: EDA - Electronic Design Automation (DAUIN) Interdepartmental Center IAM@PoliTo - Integrated Additive Manufacturing

Roberto MinelliView profile

Researcher

• Software Evolution
• Software Visualization
• Mining Software Repositories
• +6 more

Roberto Minelli is a Scientific Collaborator and Academic Coordinator at the Software Institute, Faculty of Computer Science, Università della Svizzera italiana (USI), where he also completed his Bachelor, Master, and PhD in Informatics. His work bridges research, education, and technology outreach, with a strong focus on software engineering, visualization, and developer interaction analysis. His research centers on leveraging interaction data from development environments to enhance software comprehension and evolution. Key areas include software visualization , mining software repositories , reverse engineering , and program comprehension . He has pioneered work in visual metaphors such as Software Cities and explored immersive environments like virtual reality for code visualization. The recent publications reflect a consistent trend in visual analytics for software engineering, with increasing emphasis on social and collaborative aspects of development (e.g., Discord, GitHub issues), large-scale system comprehension, and the integration of diverse data sources into unified visual models. His work combines empirical studies, tool development, and human-centered evaluation. Best Paper Award, IWESEP 2016 Most Influential Paper Award, ICPC 2015 Distinguished Reviewer Award, ICPC 2020 Minelli actively mentors students, co-supervising numerous Bachelor and Master theses in software visualization and analytics. He has secured multiple research and development mandates, including projects like Self-Driving Cars on Interactive Dynamic Tracks (SNF Agora) and Sphere Two: Swiss Pavilion @ Expo 2025 . He plays a central role in organizing key events such as VISSOFT, SIESTA, and #FormulaUSI, and contributes to curriculum development and outreach programs targeting secondary education. He is involved in several labs and teams, primarily the REVEAL research group (led by Prof. Michele Lanza) and the Software Institute at USI. His leadership in initiatives like CodeLounge and #FormulaUSI underscores his commitment to experiential learning and public engagement in computing.

• Information Systems Development
• Digital Transformation
• Agile Software Development
• +5 more

Dr. Bartosz Marcinkowski serves as Professor and Head of the Department of Business Informatics at the University of Gdańsk's Faculty of Management, concurrently holding the positions of Deputy Dean for Research and Head of the Doctoral School. His academic leadership spans departmental administration, faculty research strategy, and doctoral program oversight within Poland's prominent management education institution. Marcinkowski's research centers on the intersection of information systems and practical business applications, with dominant focus areas including agile software development methodologies, digital transformation frameworks, and facility management technology adoption. His work consistently addresses contemporary challenges such as post-pandemic recovery in IT projects, generative AI integration, and sustainable business practices through empirical industry-academia collaborations. Recent publications demonstrate particular expertise in scaling agile frameworks for distributed teams and implementing blockchain solutions in enterprise environments. Analysis of his 2022-2025 publications reveals a strategic research trajectory emphasizing practical solutions for complex business-technology challenges. His work shows increasing integration of sustainability considerations across domains, from facility management to corporate governance, while maintaining strong methodological focus on agile approaches and systems integration. The recurring industry-academia collaboration theme highlights his commitment to bridging theoretical research with real-world business applications.

• High Performance Computing
• Software Engineering for HPC
• Code Generation
• +12 more

Harald Köstler is an Associate Professor and Head of Research at the Erlangen National High Performance Computing Center (NHR@FAU) within the Department of Computer Science at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). He leads the research group on HPC Software Design at the Chair of Computer Science 10 (System Simulation), focusing on software engineering for high-performance computing and data analytics. His research interests include: Software Engineering for HPC Code Generation for Numerical Solvers Performance Engineering on Hybrid Architectures Discontinuous Galerkin and Lattice Boltzmann Methods Multigrid Solvers and Parallel Algorithms Performance Portability across CPUs, GPUs, and FPGAs The recent publications highlight a strong trend in developing efficient, scalable, and portable simulation frameworks for complex physical systems. His work emphasizes code generation, performance optimization, and the integration of classical model-driven and data-driven approaches. Key application areas include computational fluid dynamics, geotechnical engineering, and climate modeling, often leveraging the waLBerla and ExaStencils frameworks. Harald Köstler has no listed scientific awards in the provided text. He advises students in the areas of high-performance computing, numerical methods, and software engineering for scientific applications. His research is supported by collaborations within the FAU HPC ecosystem and likely involves grants related to national high-performance computing initiatives. He is a key contributor to the waLBerla framework, a block-structured, high-performance software for multiphysics simulations, and is involved with the ExaStencils project, which focuses on advanced multigrid solver generation. These frameworks form the core of his research team's efforts in scalable scientific computing.

Christina BognerView profile

Professor

• Ecosystem Research
• Soil Science
• Microplastics
• +4 more

Prof. Dr. Christina Bogner is a leading researcher at the Geographical Institute of the University of Cologne. Her work focuses on ecosystem research, particularly the transport of microplastics in soil and the trade-offs between nature conservation and road development in sub-Saharan Africa (SFB 1357 and SFB/TR 228 projects). University: University of Cologne School: Geographical Institute Academic Rank: Professor Email: christina.bogner@uni-koeln.de Research Interests: Her research spans microplastics distribution, climate-land use interactions, and traditional agricultural water management. She employs multi-method approaches to analyze environmental contamination and sustainable practices in diverse ecosystems. Recent Publications: Recent work includes studies on microplastic sediment separators, floodplain contamination, and climate-land use impacts on biodiversity. Her 2025 study on road development in sub-Saharan Africa highlights the need for integrated policy frameworks. Collaborative Projects: She collaborates with experts in soil science, hydrology, and biodiversity across Germany and internationally, contributing to large-scale initiatives like SFB 1357 Microplastics and SFB/TR 228 Future Rural Africa.

• Software Engineering
• Cryptography & Blockchain
• Internet of Things
• +1 more

Dr Nguyen Tran is a Researcher at the School of Computer and Mathematical Sciences , part of the Faculty of Sciences, Engineering and Technology at the University of Adelaide . His work focuses on developing software systems that are correct, efficient, and secure, particularly through the application of blockchain and related technologies. Nguyen Tran's research spans four key domains: Software Engineering for large-scale systems, Cryptography & Blockchain for security, Internet of Things for physical-digital integration, Machine Intelligence for automation. He is eligible to co-supervise Masters and PhD students and contributes to the Centre for Research on Engineering Software Technology . His publications highlight advancements in blockchain metadata management, IoT search engines, and decentralized provenance systems.

Morteza DavariView profile

Associate Professor

• Operations Research
• Combinatorial Optimization
• Stochastic Optimization
• +7 more

Morteza Davari is an Associate Professor at SKEMA Business School (France) and Visiting Professor at KU Leuven (Belgium). He holds a Ph.D. in Operations Research from KU Leuven (2016), an M.Sc. in Advanced Business Studies (2012), and a B.Sc. in Industrial Engineering (2011). His research focuses on Combinatorial Optimization, Stochastic Optimization, and their applications in Sports Planning, Project Scheduling, and Supply Chain Management. Professional affiliations include: SKEMA Business School: Full-time faculty since 2020 (Assistant Professor until 2024) KU Leuven: Visiting faculty since 2020, Postdoctoral Researcher (2017–2020) Research interests span: Exact algorithms for scheduling problems Resource-constrained project scheduling Sports timetabling Data-driven optimization Uncertainty management in operations Notable contributions include: Developed hybrid scheduling models integrating inventory constraints Pioneered proactive/reactive scheduling frameworks Designed multi-league sports scheduling algorithms Modeling pandemic ripple effects on supply chains Academic leadership roles include: PhD co-supervisor for 5 ongoing/done theses Jury member for multiple international PhD defenses Reviewer for top journals like European Journal of Operational Research and Annals of Operations Research Labs/Teams: Active contributor to SKEMA's Centre for Analytics and Management Science.

Christopher WarrenView profile

Professor

• Digital Humanities
• Law and Literature
• Political Theory
• +4 more

Christopher Warren is a Professor of English at Carnegie Mellon University , with a Courtesy Appointment in History and roles as Associate Department Head and director of CMU's minor in Humanities Analytics (HumAn) . He is co-founder of the digital humanities project Six Degrees of Francis Bacon and a founding member of the Center for Print, Networks, and Performance (CPNP) , while co-convening the Digital Humanities Faculty Research Group . Education: BA, English, Dartmouth College (1999) MA, English, Georgetown University (2003) DPhil, English, University of Oxford (2008) Warren's research spans Digital Humanities , Law and Literature , Political Theory , Early Modern Literature , Print Culture , and the History of Political Thought . His current project, Freedom and the Press before Freedom of the Press , uses machine learning to recover anonymous craftsmen in early modern clandestine printing. His 2015 monograph Literature and the Law of Nations, 1580-1680 (Oxford University Press) examines intersections between literary genres and foundational international legal concepts. His publications focus on 17th-century literature , computational bibliography , and network analysis , with recent work appearing in Shakespeare Quarterly , Eighteenth-Century Studies , and ArXiv:CS . Articles often address Thomas Hobbes , John Milton , and Shakespeare through lenses of political philosophy , anonymity in print culture , and historical legal frameworks . Scientific Awards: Roland H. Bainton Prize for Literature (2016) Warren actively mentors graduate students in Early Modern Studies , Digital Humanities , and Print Culture , and advocates for humanities funding through the National Humanities Alliance . He previously held positions at Oxford University, University College London, NUI-Galway, and the University of Chicago.

Benjamin AdamsView profile

Assistant Professor

• Orthopedics/Musculoskeletal Care
• Big Data Analytics
• Epidemiology
• +3 more

Benjamin Adams is an Assistant Professor in the Department of Physical Therapy at the MGH Institute of Health Professions, directing the Clinical Residency in Orthopaedic Physical Therapy. He holds roles as a Board-Certified Orthopedic Clinical Specialist (OCS) and Certified Strength and Conditioning Specialist (CSCS). His research focuses on musculoskeletal injury prevention in military populations, leveraging big data analytics and large-scale epidemiological studies. Education: BS in Neuroscience, University of Rochester Doctorate of Physical Therapy, Emory University PhD in Rehabilitation Sciences, MGH Institute of Health Professions Research Interests: Dr. Adams combines clinical practice with advanced statistical methodologies (R programming) to address injury mitigation strategies in military settings. Current projects include embedded physical therapist roles in infantry divisions and post-operative intervention studies. He collaborates with the U.S. Army Research Institute of Environmental Medicine (Dr. Richard Westrick) and plans VA hospital partnerships for social network-based health interventions. Grants & Collaborations: Military injury prevention studies (U.S. Army contracts) Independent healthcare database research funding Potential VA hospital collaborations for behavioral health interventions Labs & Teams: Engaged with interdisciplinary teams at the U.S. Army Research Institute and the IHP, focusing on translating research into clinical practice through evidence-based interventions.

• Network Architecture
• Software Defined Networking
• Internet of Things Security
• +7 more

Professor Vijay Sivaraman is a distinguished academic at the University of New South Wales, where he serves as Professor in the School of Electrical Engineering and Telecommunications within the Faculty of Engineering. With extensive experience in network research, he leads significant projects in network architecture, security, and performance optimization. His educational background includes a PhD in Computer Science from UCLA (2000), an MSc in Computer Science from North Carolina State University (1996), and a B.Tech in Computer Science and Engineering from the Indian Institute of Technology, Delhi (1994). Professor Sivaraman's research focuses on making communication networks like the Internet more efficient and effective. He develops network architectures and algorithms for improving delivery of services such as video streaming and gaming, with particular expertise in scalable architectures and protocols for optical, wireless, and sensor networks. His work bridges theoretical foundations with practical applications to solve real-world networking challenges. His recent publications demonstrate a strong trend toward network security, particularly in IoT environments, Software Defined Networking applications, and enterprise network monitoring. A significant portion of his work addresses security challenges in the Internet of Things, DNS security, and metaverse network requirements, showing his ability to anticipate and address emerging networking challenges. Awarded the Chorafas Foundation Award in 2000, Professor Sivaraman has secured substantial research funding including an ARC Discovery Project ($405K for 2014-2017) on interactive and scalable media over software defined networks, and a Google Research Award ($63K for 2013) on virtualizing access networks using SDN. He currently supervises 6 students in his lab, with 10 students having already graduated under his guidance. His research group actively works on projects related to Software Defined Networking, security mechanisms for networked IoT devices, and improving Internet service quality using data analytics and artificial intelligence. Professor Sivaraman leads a dynamic research laboratory focusing on network technologies, with particular emphasis on creating practical solutions for real-world networking problems through the integration of theoretical research and hands-on experimentation.

Gillian MaurerView profile

Academic

• Media Technology
• Digital Production Systems
• Color Processing in Media
• +7 more

Gillian Maurer is an Associate Teaching Professor in the Department of Engineering and Information Technology at the University of Missouri's College of Engineering. She serves as the Director of Online Programming for the BS IT online degree and facilitates study abroad courses for IT students. Her academic work bridges engineering and media arts, with a focus on digital production systems and media technology. Education: M.Ed., University of Missouri B.A., University of Missouri Her research interests center on media technology, with a strong emphasis on color in digital media, GPU-accelerated image processing, and digital production efficiency. She explores how humans perceive color palettes in films, combining computational analysis with cognitive insights. Her work uses CUDA and high-performance computing to extract mathematical color data from films and compare it with human perception. The research indicates that viewers often prefer arbitrary color selections over mathematically derived palettes, suggesting that human perception is driven by pattern deviation and cultural context rather than analytical cues. This work connects computer science, media studies, and cognitive psychology, aiming to uncover how societal trends influence artistic color choices in film across decades. Scientific Awards: No awards listed in the provided text. Gillian Maurer advises undergraduate research in media technology and design, integrating students into her computational media projects. She leads the development of online IT curricula and study abroad programs, contributing significantly to educational innovation. Her background as a film producer, director, and cinematographer enriches her academic role, allowing her to merge creative practice with technical education. She previously served as Director of Film Production in the College of Arts and Sciences before transitioning to the College of Engineering. Her lab work involves utilizing campus supercomputers and GeForce RTX 3090 GPUs to accelerate image data processing for large-scale film analysis. Future work includes expanding the dataset to 10,000 notable images to identify broader cultural and generational trends in color usage.

Padmini SrinivasanView profile

Professor

• Information Retrieval
• Natural Language Processing
• Text Mining
• +12 more

Padmini Srinivasan is a Professor in the Department of Computer Science at the University of Iowa, affiliated with the College of Engineering. Her work bridges computer science, informatics, and social applications through advanced research in information retrieval, natural language processing, and data mining. Research Interests: Her research focuses on Information Retrieval & NLP , Text and Web Mining , Biomedical Text Mining , Privacy/Security & Censorship , Social Media Analytics (particularly in political and health belief contexts), and Crowdsourcing & Games . She leads the Text Retrieval & Text Mining Group , fostering interdisciplinary research involving machine learning, human computation, and real-world data challenges. Publication Trends: Her recent work appears in top-tier venues such as SIG-IR, KDD, WSDM, ICWSM, EMNLP, JASIST, and PLOS One, reflecting sustained contributions to both foundational and applied aspects of data science. These publications span topics from ranking optimization and query modeling to social dynamics, health informatics, and ethical AI. Scientific Awards: No specific awards were mentioned in the provided text. Advising and Grants: She has advised numerous graduate students including Osama Khalid, Ingroj Shrestha, Asad Mahmood, Jonathan Rusert, and others. While grant details are not listed, her publication record in premier venues suggests consistent external funding and collaborative research activity. Labs and Teams: She leads the Text Retrieval & Text Mining Group , which conducts cutting-edge research in search technologies, text analysis, and social media understanding, often integrating crowdsourcing and game-based methods for data collection and evaluation.

Markus StrohmaierView profile

Professor

• Computational Social Science
• Data Science
• Machine Learning
• +7 more

Markus Strohmaier is Professor and Chair of Data Science in the Economic and Social Sciences at the University of Mannheim, with affiliations as Scientific Coordinator at GESIS – Leibniz Institute for the Social Sciences and External Faculty Member at the Complexity Science Hub Vienna. His interdisciplinary work bridges computer science, economics, and the social sciences. University of Mannheim – Chair for Data Science in the Economic and Social Sciences GESIS – Scientific Coordinator for Digital Behavioral Data Complexity Science Hub Vienna – External Faculty Former Professor at RWTH Aachen University and University of Koblenz-Landau Previous Post-Doc and Visiting Roles at Stanford University, Xerox PARC, University of Toronto, and Graz University of Technology His research focuses on computational social science , algorithmic fairness , network science , and the modeling of human behavior using machine learning and large-scale data. He develops methods to analyze textual, relational, and emerging data types to understand socioeconomic systems and digital societies. The recent articles reflect a strong trend in studying inequality in algorithmic systems , governance in decentralized organizations (DAOs) , and psychological profiling of AI . His work spans high-impact journals like Nature and Scientific Reports , emphasizing fairness, transparency, and societal impact of data-driven technologies. Notable scientific contributions include: Editor-in-Chief of EPJ Data Science (2018–2022) Founding co-chair of the Computational Social Science section of the German Informatics Society He advises students and leads research projects on algorithmic fairness, digital governance, and behavioral modeling. His team engages in both fundamental methodological development and applied studies in real-world digital platforms. He has been involved in significant grants and collaborative initiatives around digital behavioral data and computational social science infrastructure. His lab and projects include the Algorithmic Fairness initiative and the interactive visualization tool Planets of Disparity , which explores how algorithms behave on different network structures. These efforts aim to enhance public understanding and technical scrutiny of algorithmic systems.

• Medical Imaging
• Public Health Outcomes
• Educational Assessment
• +3 more

Olasunkanmi Kehinde is an Assistant Professor in the Department of Health and Human Studies at Elizabeth City State University. Their research spans medical imaging applications in cardiology, pediatric health outcomes, and educational assessment methodologies. They hold an office in the STEM Complex Building, Room 326. Research focuses include cardiac MRI viability assessment, preterm infant mortality risk analysis, and innovative teaching strategies in STEM education. Their work integrates quantitative methods like item response theory and multilevel modeling with practical applications in healthcare and education systems. Recent publications (2021-2025) emphasize methodological advancements in educational measurement, cognitive assessment frameworks, and healthcare outcome analysis. No formal awards or grants are explicitly noted in the provided materials.