Iain Stewart is Professor of Geoscience Communication at the University of Plymouth, holding the UNESCO Chair in Geoscience and Society. He directs research at the Sustainable Earth Institute and serves as Communications Lead for the UKRI Tomorrow's Cities initiative targeting disaster risk reduction in urban environments. His research bridges Earth science and societal concerns through three key areas: 1) Geoscience communication strategies for complex issues like climate change and energy, 2) Cultural responses to geohazards using film and gaming technologies, and 3) Public perceptions of geological resources and subsurface environments. His work applies cognitive and social science frameworks to geoscience communication challenges. Stewart maintains an extensive public engagement profile through BBC television documentaries including 'Earth: The Power of the Planet' and as science consultant for 'Seven Worlds, One Planet'. He serves as President of the Royal Scottish Geographical Society and Devon Wildlife Trust while advocating for geoscience education globally. His research has been recognized with numerous international awards including an MBE and honors from the Geological Society of America and American Geophysical Union.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۶۷۶-۶۹۰ از ۴۰٬۵۲۰ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
![](https://bond.edu.au/profile/"https://bond.edu.au/sites/default/files/styles/quote_portrait/public/2023-08/amir-ghanbaripour.jpg?h=10090962&itok=bsqp1mtc")
Amir Ghanbaripourمشاهده پروفایل
مدرس ارشد
- Project Management
- Construction Project Management
- Gender Diversity in Project Organizations
- +۳ مورد دیگر
Dr. Amir Ghanbaripour is a Discipline Lead in Planning, Property, and Project Management at Bond University's Faculty of Society & Design, with a PhD in Construction Project Management (2020). He teaches postgraduate courses and leads the Project Management program. His expertise spans project management methodologies, systems thinking, organizational maturity, and gender equality in projects. He is an active member of the Project Management Institute (PMI) as Associate Director for Academic Outreach. Education: PhD in Construction Project Management (Bond University, 2020), MSc in Civil Engineering (Iran University of Science and Technology, 2012), BSc in Civil Engineering (Amirkabir University of Technology, 2009). Research focuses on project success models, agile methodologies, and technology integration in construction education. He leads research projects on megaprojects, sustainable practices, and gender diversity in the industry. Grants include the 2023 FSD Research Project Grant (focusing on construction project strategies) and the 2023 FSD Deans Award (exploring robotics in manufacturing). He supervises PhD candidates and collaborates with national/international organizations on project management innovation.
Dr. Alamgir Karim is the Dow Chair and Welch Foundation Professor at the University of Houston, leading the International Polymer & Soft Matter Center (IPSMC) and the Doctoral Materials Program. His research focuses on polymer nanotechnology, thin films, and interfaces for energy, sustainability, and health applications. He holds a Ph.D. in Physics from Northwestern University and a B.S. from St. Stephen's College, Delhi. Key contributions include polymer nanocomposites, block copolymer thin films, and graphene oxide membranes for desalination. He is a Fellow of the American Physical Society and AAAS, and a Keck Foundation Award recipient. Research interests span polymer nanotechnology, dielectric materials, and sustainable nanocomposites. Recent work explores MXene-based biomedical composites, CO₂ capture membranes, and high-energy-density dielectrics. His lab develops functional materials for energy storage, environmental remediation, and biomedicine. Education: Ph.D., Physics (Northwestern University, 1991); B.S., Physics (St. Stephen's College, 1985) Leadership: Director of IPSMC; former Goodyear Chair Professor at University of Akron Awards: AAAS Fellowship, APS Fellowship, Keck Foundation Award Advances in block copolymer self-assembly and nanocomposite design have enabled scalable filtration membranes and high-performance dielectrics. His group collaborates on protocell models and sustainable materials processing.
Michael C. Frank is the Benjamin Scott Crocker Professor of Human Biology at Stanford University and Director of the Symbolic Systems Program. He leads the Stanford Language and Cognition Lab and has pioneered large-scale collaborative projects including Wordbank (open vocabulary data), MetaLab (developmental meta-analyses), ManyBabies (replication network), childes-db (language transcripts), and Peekbank (eye-tracking repository). His research examines children's language learning and its interaction with social cognition, utilizing computational modeling, large datasets, and open science frameworks. Key interests include: Mechanisms of early language acquisition Pragmatic inference in social contexts Cross-cultural variability in cognitive development Data-driven approaches to developmental science Reproducibility and meta-scientific innovation Recent publications (2022-2025) demonstrate strong emphases on: 1) Novel methods for measuring language environments and cognitive abilities, 2) Computational models of learning and perception, 3) Cross-cultural investigations of social cognition, and 4) Infrastructure for open developmental science. The majority employ multimodal data, meta-analytic techniques, and large-scale collaborations. He teaches courses including Experimental Methods, Developmental Psychology, and interdisciplinary seminars on language, cognition, and computation. His lab maintains active research teams across multiple continents through initiatives like ManyBabies and LEVANTE.
- Renewable Materials
- Biopolymers
- Nanocellulose
- +۷ مورد دیگر
Orlando Rojas is a Professor at the University of British Columbia (UBC), holding joint appointments in the Departments of Chemical and Biological Engineering, Chemistry, and Wood Science. He leads the Biobased Colloids and Materials (BiCMat) research group and directs the Bioproducts Institute . His research focuses on sustainable development through renewable materials, including nanopolysaccharides, bacterial nanocellulose, lignins, and multiphase systems. Rojas has advised over 50 PhD students and 40+ MS students, with a h-index of 90 (Google Scholar). Key Roles/Positions : Canada Excellence Research Chair in Renewable Materials Adjunct Professor at NC State University (USA) and Dalian Polytechnic University (China) Director of FinnCERES Flagship (Finland) Research Interests : Development of bio-based materials for energy, healthcare, and environmental applications. Key areas include nanocellulose functionalization, lignin valorization, and bioinspired materials. His work integrates colloidal science, multiphase systems, and sustainable manufacturing. Grants & Awards : ERC Advanced Grant and Horizon H2020 funding 2013 ACS Fellow, 2015 Tappi Nanotechnology Award First Latin-American recipient of the Anselme Payen Award (ACS) Labs & Collaborations : Active partnerships with Aalto University (Finland) and institutions globally. Leads the BiCMat group spanning UBC and FinnCERES, focusing on bio-based materials and sustainable technologies.
Bradford S. Bell is the William J. Conaty Professor in Strategic Human Resources and Director of the Center for Advanced Human Resource Studies at Cornell University's ILR School. His academic career spans roles as editor of Personnel Psychology and fellowships with the Society for Industrial and Organizational Psychology and American Psychological Association. He holds a Ph.D. in Industrial and Organizational Psychology from Michigan State University. Education: B.A. Psychology, University of Maryland (College Park) M.A. and Ph.D. Industrial and Organizational Psychology, Michigan State University Research Focus: Dr. Bell's work centers on training/development, team dynamics, virtual work, and technology's impact on organizations. He has published widely in journals like Journal of Applied Psychology and Academy of Management Learning & Education , with over 150+ publications. His research emphasizes practical applications in workplace learning systems and team effectiveness. Awards: Early Career Achievement Award (Academy of Management HR Division, 2008) Professional Contributions: Advises organizations globally on HR strategy through the Center for Advanced Human Resource Studies. His consulting spans banking, manufacturing, and public sectors. Active in professional development, he teaches courses on HR management, training, and work teams.
- Machine Learning
- Optimization
- Meta-learning
- +۴ مورد دیگر
El Mahdi Chayti is a doctoral researcher at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Computer and Communication Sciences and the Department of Computer Science. He works under the Machine Learning and Optimization (MLO) lab, focusing on advanced optimization techniques and machine learning theory. Contact: el-mahdi.chayti@epfl.ch . Current Roles: Doctoral Assistant and PhD Student in Computer and Communication Sciences Research Interests: Machine Learning, Optimization Algorithms, Meta-learning, Second-order Optimization, Energy Forecasting His publications highlight expertise in stochastic and cubic Newton methods, hybrid deep learning models, and personalized collaborative learning. Recent works include Improving Stochastic Cubic Newton with Momentum (2025) and Hybridization of Deep Learning with Physical Knowledge for Energy Forecasting (2019) . Key trends in his research span optimization efficiency , meta-learning frameworks , and integration of domain knowledge into AI models. He emphasizes theoretical guarantees and practical scalability in algorithm design.
Michael Schaubمشاهده پروفایل
استادیار
- Network Science
- Dynamical Systems
- Machine Learning
- +۳ مورد دیگر
Michael Schaub is a tenure-track Assistant Professor in the Department of Computer Science at RWTH Aachen University, specializing in Computational Network Science. His research focuses on analyzing complex systems through network and graph models, integrating dynamical systems, control theory, and machine learning. He leads the Computational Network Science group, advancing methodologies for higher-order network models like simplicial complexes and hypergraphs. Schaub holds a PhD from Imperial College London and has held postdoctoral positions at MIT and Oxford. He is an ERC Starting Grant recipient (2022) and a Marie Curie Fellow, recognized for contributions to network dynamics and topological data analysis. Education: PhD in Mathematics, Imperial College London (2011-2015) MSc in Biomedical Engineering, Imperial College London (2010) BSc in Electrical Engineering, ETH Zurich (2007-2010) Research Interests: Schaub’s work spans interdisciplinary applications of network science, including biological systems, social networks, and technical infrastructures. Key areas include: Higher-order network models (hypergraphs, simplicial complexes) Graph signal processing and dynamics on networks Community detection and dynamical systems analysis Topological data analysis and machine learning Grants & Awards: ERC Starting Grant (2022): HIGH-HOPeS project Marie Skłodowska-Curie Fellowship (2017-2019) Junior Fellow, German Informatics Society (GI) Member of Junges Kolleg (North Rhine-Westphalia Academy) Labs & Teams: Leads the Computational Network Science Lab at RWTH Aachen, collaborating internationally on projects like the ELLIS Society and the European Laboratory for Learning and Intelligent Systems (ELLIS). Active in organizing workshops (e.g., Toponets, SIAM MDS).
Shiva Nejati is a Professor at the University of Ottawa 's School of Electrical Engineering and Computer Science . He holds a PhD in Computer Science from the University of Toronto and previously worked as a Senior Scientist (2012-2019) and Scientist (2009-2012) at the SnT Centre (University of Luxembourg) and Simula Research Laboratory. Research focus: Software engineering for cyber-physical systems (autonomous vehicles, IoT), blending formal verification, machine learning, and search-based testing Key tools developed: ARIsTEO, SOCRaTEs, SimCoTest, EPIcuRus Editorial roles: Associate Editor for EMSE Journal (2025–), ASE Journal (2025–), IEEE Transactions on Software Engineering (2020–2024) His work combines formal methods , empirical software engineering , and AI/ML to address verification challenges in complex systems, particularly through evolutionary algorithms and surrogate modeling . Notable collaborations include industry partners in telecommunications, automotive, and aerospace sectors. Recent publications emphasize large language models for requirements analysis, adversarial testing of vision systems, and multi-objective optimization for test generation. His Sedna Research Lab actively trains graduate students in these cutting-edge methodologies.
Ming Cao is a Full Professor at the University of Groningen (Netherlands), holding positions in the Department of Discrete Technology and Production Automation, the Engineering and Technology Institute Groningen, and serving as Chair of the Jantina Tammes School of Digital Society, Technology and AI. His academic roles include Director of the Jantina Tammes School and membership in prestigious organizations such as the International Federation of Automatic Control (IFAC) and the European Commission’s DG CNECT. Cao’s research focuses on multi-agent systems, autonomous robotics, complex networks, and cooperative control, with applications in robotics, epidemic modeling, and biomimetic sensors. Education: PostDoc in Mechanical Engineering from Princeton University (2008), PhD in Electrical Engineering from Yale University (2007). Research Interests: Multi-agent systems, distributed decision-making, cooperative control, robotic teams, seal whisker-inspired flow sensing, and privacy-preserving control systems. Recent Trends in Articles: Recent work emphasizes co-evolutionary dynamics in social-technical systems, privacy in control systems, and biomimetic robotics. Key topics include feedback mechanisms in cooperation, hypergraph-based epidemic models, and seal whisker mechanics for underwater sensing. Awards: European Control Award (2016), Manfred Thoma Medal (2017), ERC Grant (2012). Grants: Vidi Grant from NWO (2015) for agent coordination research. Labs/Teams: Jan C. Willems Center for Systems and Control, Research Center for Data Science and Systems Complexity (DSSC). Active in editorial roles for journals like Artificial Life and Robotics and the SIAM Journal on Control and Optimization .
Zhong-Ping Jiang is an Institute Professor at New York University Tandon School of Engineering, affiliated with the Department of Electrical and Computer Engineering, and holds cross appointments in Civil and Urban Engineering. He leads the Control and Network (CAN) Lab and contributes to research centers like the Center for Advanced Technology in Telecommunications (CATT) and C2SMARTER. His work focuses on nonlinear control, adaptive dynamic programming, and learning-based control with applications to autonomous systems, urban mobility, and computational neuroscience. He serves as Deputy Editor-in-Chief of the IEEE/CAA Journal of Automatica Sinica and has held editorial roles in multiple journals. Research interests include model-based and learning-based control for network systems, with emphasis on robotics, connected vehicles, and urban infrastructure. His contributions to nonlinear small-gain theory and robust reinforcement learning have advanced control methodologies for complex systems. Recent publications highlight trends in resilient control under cyberattacks, data-driven optimal control, and reinforcement learning applications in traffic signal optimization and autonomous driving. His work bridges theoretical advancements with real-world challenges in transportation and cyber-physical systems. Awards: Elected to the European Academy of Sciences and Arts (2024). Grants/Projects: Includes RAPID-funded studies on high-resolution agent-based modeling of epidemic spread and NSF-supported research on urban traffic networks. Labs/Teams: CAN Lab (focusing on control theory and networked systems), CATT (telecommunications innovations), and C2SMARTER (urban mobility solutions).
Dino Pedreschi is a Full Professor of Computer Science at the University of Pisa, affiliated with the Department of Computer Science (DI-UNIPI). He co-leads the Pisa KDD Lab, a joint research initiative between the University of Pisa and the Italian National Research Council’s Institute of Information Science and Technology, one of the earliest labs focused on data mining and knowledge discovery. His research spans Big Data Analytics , Social Network Analysis , Human Mobility Analysis , Privacy-by-Design , Explainable AI (XAI) , and ethical data mining . He is a pioneer in privacy-preserving data mining and has contributed significantly to understanding societal impacts of AI and big data. Recent publications highlight trends in explainable AI , fairness-aware data mining , urban mobility modeling , and socio-economic nowcasting , reflecting a strong interdisciplinary focus combining computer science, social science, and policy. Notable scientific awards include: Google Research Award on Privacy (2009) University of Pisa Ordine del Cherubino (2017) Pedreschi has played leadership roles in major conferences such as ECML/PKDD (Co-Chair 2004), ICDM (Vice-Chair 2005), and ICDE (Vice-Chair 2014). He founded the Business Informatics MSc program at the University of Pisa to train interdisciplinary data scientists. He has been a visiting scientist at the University of Texas at Austin, CWI Amsterdam, UCLA, and the Barabási Lab at Northeastern University. He actively contributes to European research initiatives including SoBigData++, FAIR, and TAILOR, and has advised on AI policy, including testimony before the Italian Parliament on AI and labor markets. He is a key member of the Pisa KDD Lab, a leading research group in data science and AI ethics, fostering collaboration between academia and public institutions.
Sarah Kang is the Director of the Department of Climate Dynamics at the Max Planck Institute for Meteorology in Hamburg, Germany, a position she has held since August 2023. She leads the Director's Research Group (CDY) focusing on fundamental climate dynamics. Prior to this, she served as Professor in the Department of Urban and Environmental Engineering at Ulsan National Institute of Science and Technology (UNIST) in South Korea from 2011-2023, progressing through assistant, associate, and full professor ranks. Her research examines complex climate system dynamics, with emphasis on: Large-scale atmosphere and ocean circulation patterns Tropical-extratropical climate interactions Hydrological cycle responses to climate change Mechanisms of polar amplification Teleconnections between ocean basins and climate zones Analysis of her recent publications reveals dominant research themes: Ocean-atmosphere coupling mechanisms Radiative forcing and climate sensitivity Hemispheric climate asymmetries Tropical precipitation dynamics Polar warming impacts on global circulation with consistent methodology employing high-resolution climate modeling and observational verification. Major scientific recognitions include: AGU Atmospheric Sciences Ascent Award (2022) AOGS Kamide Lecture Award (2018) Editor's Citation for Excellence in Refereeing (GRL 2018) UNIST Teaching Excellence Award (2012) NCAR Advanced Studies Fellowship (2009) She maintains extensive professional engagement as: Co-chair of CLIVAR Climate Dynamics Panel Science Steering Committee member for CFMIP Associate Editor for Frontiers in Climate Editor for AGU Advances Board member of Korean Meteorological Society
David Doty is a Professor in the Department of Computer Science at the University of California, Davis . His research focuses on the intersection of molecular systems and computation , exploring how natural processes like chemical reactions , DNA nanotechnology , and self-assembly can perform computation. He also investigates connections to theoretical computer science, including distributed computing and algorithmic information theory . Doty's work bridges physics , chemistry , and biology through rigorous computational models like the Tile Assembly Model and Population Protocols . His research program includes software development ( scadnano , ppsim ), theoretical analysis, and collaborations with experimentalists. He teaches courses on theory of computation and molecular computing , and has advised numerous students in his research group. His publications cover topics such as algorithmic self-assembly , chemical reaction networks , and thermodynamic binding networks , with a focus on understanding fundamental computational and physical limits. Key software tools developed by his group include scadnano for DNA design and ppsim for population protocol simulations. Doty's recent research trends explore rate-independent chemical computing , error correction , and stochastic modeling in molecular systems. Current academic activity includes teaching ECS 120 (Undergraduate Theory of Computation), ECS 220 (Graduate Theory of Computation), and ECS 232 (Theory of Molecular Computation). He maintains a research lab in 2306 Academic Surge and continues to publish in leading conferences like DNA Computing and CMSB .
- Materials Science
- Ceramics
- Powder Metallurgy
- +۶ مورد دیگر
Jozef Vleugels is a full Professor at KU Leuven's Faculty of Engineering Sciences, where he serves as Department Head of Functional Materials (SIEM) within the Department of Materials Science. He is also Chairman of the Leuven Centre for Materials and serves as contact person for the Functional Materials research unit located at Castle Park Arenberg 44 in Leuven. His research focuses on advanced materials processing, particularly in ceramics, powder metallurgy, and additive manufacturing. Vleugels has extensive expertise in zirconia-based dental biomaterials, nuclear materials, and refractory ceramics. His work integrates traditional ceramic processing techniques with cutting-edge additive manufacturing technologies, including direct ink writing (DIW) and binder jetting for complex geometries. His recent publications demonstrate a strong emphasis on dental applications of zirconia ceramics, laser surface modification techniques, microwave processing, and high-entropy carbide systems. His research group is actively involved in numerous EU and national projects related to additive manufacturing of multi-material components, nuclear applications, and dental biomaterials. Prof. Vleugels teaches several courses including Ceramics and Powder Metallurgy, Advanced Ceramic Materials, and project-based courses in materials science. He supervises numerous doctoral candidates and collaborates extensively with industry partners on applied research projects. He is an active member of multiple research networks including the Materials Science Division, KIEM – KU Leuven Institute for Energy and Society, and Leuven.AM – KU Leuven Institute for Additive Manufacturing. He also serves on various faculty and departmental councils including the Faculty Council of Engineering Sciences and the Departmental Council of Materials Science.