جست‌وجوی استاد و پژوهشگر

Päivi Häkkinenمشاهده پروفایل

استاد

• Educational Technology
• Collaborative Learning
• Computer-Supported Collaborative Learning (CSCL)
• +۴ مورد دیگر

Päivi Häkkinen is a **Professor and Vice Director** at the **Finnish Institute for Educational Research (FIER)**, part of the University of Jyväskylä. Her research focuses on technology-enhanced learning, particularly in collaborative problem-solving, computer-supported collaborative learning (CSCL), and the integration of virtual/augmented reality in education. She leads projects like the EDUCA Flagship for future education and LearnDigi , exploring digitalization in learning. Research Interests: She investigates ICT integration in education, learning analytics, and the cognitive and social dynamics of collaborative learning. Her work emphasizes remote collaboration mechanisms, digital tools for assessment, and AI-driven educational innovation. Key Projects: EDUCA Flagship: Addresses future education challenges through interdisciplinary research. LearnDigi: Examines technology’s role in knowledge construction and digitalization impacts. METEOR: Enhances transversal skills for early career researchers via teamwork methodologies. Recent Work Trends: Her publications analyze joint attention in remote collaboration, AI-human partnerships in education, and neural bases of problem-solving. She emphasizes practical applications for teachers and educators. Labs/Teams: Active in FIER and LearnDigi, focusing on collaborative learning design and technology evaluation.

Jared Duker Lichtmanمشاهده پروفایل

استادیار

• Number Theory
• Analytic Number Theory
• Multiplicative Number Theory
• +۳ مورد دیگر

Jared Duker Lichtman is a Szegö Assistant Professor at Stanford University's Department of Mathematics, beginning in the 2024-25 academic year. Previously, he served as an NSF Postdoctoral Fellow at Stanford under Prof. Kannan Soundararajan. He completed his PhD at the University of Oxford in 2023, focusing on multiplicative number theory. His research centers on prime number distribution, multiplicative structures, and analytic number theory. Notably, he established a world record in studying primes' distribution within arithmetic progressions. His work bridges classical number theory with modern techniques like sieve methods and L-function analysis. Jared's publications explore topics such as the abc conjecture, twin primes, and Erdős problems. While no formal awards are listed, his groundbreaking contributions to prime distribution and multiplicative number theory mark him as a rising star in the field. His academic trajectory includes a focus on primes in arithmetic progressions, Goldbach conjecture extensions, and probabilistic number theory applications. Ongoing research likely continues this trajectory, with potential implications for cryptography and additive number theory.

Daniel Lindvallمشاهده پروفایل

پژوهشگر

• climate change
• democracy
• energy governance
• +۷ مورد دیگر

Daniel Lindvall is a Researcher at Uppsala University's Department of Geosciences, affiliated with the Natural Resources and Sustainable Development unit and Climate Leadership initiative. He holds a doctorate in sociology and specializes in democracy-climate policy intersections, with additional expertise in peacebuilding and reconciliation processes in post-conflict regions like Bosnia and Herzegovina. His research focuses on: Democratic governance challenges in climate crisis contexts Public acceptance of renewable energy policies Climate justice and intergenerational equity Political barriers to sustainability transitions Local governance of climate initiatives Lindvall leads multiple research programs including Mistra-Formas funded Fairtrans, Formas' Wicked Problem Governance, and the Swedish EPA's climate-biodiversity policy initiative. His publications consistently examine democratic institutions' capacity to address environmental crises through policy design, public engagement, and institutional innovation.

• Optimal Control of Partial Differential Equations
• Variational Inequalities
• Nonsmooth Infinite-dimensional Optimization
• +۵ مورد دیگر

Dr. Constantin Christof is a Lecturer (Akademischer Rat auf Zeit) at the Department of Mathematics , Technische Universität München , with prior roles as a W2 Stand-in Professor at Universität Augsburg and Research Associate at TUM and TU Dortmund. His research focuses on Optimal Control of PDEs , Variational Inequalities , and Nonsmooth Optimization , with applications in Non-Newtonian Fluids and Neural Networks . May 2015 - July 2018: Dr. rer. nat. in Mathematics, TU Dortmund Oct. 2013 - July 2014: MAST (Part III of Mathematical Tripos), University of Cambridge Oct. 2009 - Sept. 2012: B.Sc. in Technomathematics and Mathematics, TU Dortmund Christof's work bridges Finite Element Error Analysis , Sensitivity Analysis , and Physics-Guided Machine Learning , particularly in problems involving Contact Mechanics and Parabolic PDE Constraints . His recent publications address challenges in Semilinear Elliptic PDEs , Obstacle Problems , and Nonsmooth Superposition Operators , with a focus on theoretical and numerical advancements. Scientific awards include the Dissertation Award and Best Graduate Award from TU Dortmund, and the Award for Academic Excellence by the Minister President of North Rhine-Westphalia. He has supervised 11 theses at the Master's and Bachelor's levels, covering topics from Neural Network Surrogate Models to Bingham Fluid Simulations .

James Dixonمشاهده پروفایل

استاد

• Self-organization in perception, action, and cognition
• Thermodynamic origins of behavior
• Complex behavior in non-living dissipative systems
• +۱ مورد دیگر

James Dixon is a Professor and Director of Ecological Psychology at the University of Connecticut, where he leads the Department of Psychological Sciences and directs the Center for the Ecological Study of Perception & Action (CESPA). CESPA fosters interdisciplinary research across optics, acoustics, movement science, and nonlinear dynamics, establishing UConn as a pioneer in ecological psychology. Research Focus Dr. Dixon investigates the self-organizing principles underlying perception, action, and cognition, with emphasis on thermodynamic foundations of behavior. His work bridges psychology, physics, and complex systems theory: Self-organization in biological and non-living dissipative systems Fractal dynamics in cognitive processes Inter-entity coordination across scales End-directed evolution in complex systems Publication Trends His publications (2009-2016) converge on emergent phenomena in complex systems, with recurring themes of self-organization, entropy, and coordination dynamics. Recent work emphasizes thermodynamic principles in behavioral emergence, while earlier studies explore representational change and insight through nonlinear models. Leadership & Academic Environment As CESPA Director, he oversees collaborative research spanning 10+ specialties. The center’s ethos integrates ecological principles with physics and development, maintaining UConn’s legacy in perception-action science since its founding by J.J. Gibson.

Finn Olesenمشاهده پروفایل

استاد

• Macroeconomics
• Post-Keynesian Economics
• History of Economic Thought
• +۲ مورد دیگر

Professor Finn Olesen is affiliated with Aalborg University Business School under the Faculty of Social Sciences and Humanities. His research focuses on macroeconomics, post-Keynesian economics, economic methodology, and the history of economic thought. Olesen explores ethical dimensions in economics and investigates pedagogical approaches like problem-based learning. His research interests span macroeconomic theory, economic ethics, crisis management, and innovative teaching methodologies. Olesen's work frequently examines the intersection of economic behavior and moral philosophy, particularly in contexts of global economic instability. Olesen's publications demonstrate a consistent focus on re-evaluating macroeconomic paradigms post-financial crisis, exploring Keynesian solutions to contemporary economic challenges, and advancing pedagogical methods in economics education. His recent work increasingly engages with sustainability and ethical dimensions of economic policy. Awards: Årets underviser på oecon 2020 He supervises doctoral students and leads research projects including 'Critical thinking and discovery based learning' and 'Macroeconomic and ethics'. His work emphasizes pluralistic approaches to economic education and policy analysis.

Prashant Saxenaمشاهده پروفایل

مدرس ارشد

• Mechanics of Soft Solids
• Multi-physics Coupling
• Nonlinear Solid Mechanics
• +۳ مورد دیگر

Dr. Prashant Saxena is a Senior Lecturer in the Department of Infrastructure & Environment at the University of Glasgow (since 2018). He previously held positions as an Assistant Professor at the Indian Institute of Technology Hyderabad (2015-2018) and postdoctoral roles at the University of Lausanne (2014-2015) and the University of Erlangen-Nuremberg (2012-2014). He completed his PhD in Applied Mathematics at the University of Glasgow (2012) and a Bachelor/Master of Technology in Mechanical Engineering from the Indian Institute of Technology Kanpur (2009). His research focuses on the mechanics of soft solids and structures, particularly under extreme deformation. Key areas include smart composites with multi-physics coupling (electro-mechanical and magneto-mechanical) and soft biological tissues. He employs tools like nonlinear solid mechanics, continuum mechanics, and numerical analysis to study instabilities in these materials. His work emphasizes the exploitation of instabilities as design features in engineering applications. Research grants include EPSRC funding (2021-2024) and multiple awards from India's Science and Engineering Research Board (SERB). Notable awards: EPSRC New Investigator Award (2021), Ramanujan Fellowship (2015-2018), and multiple SERB Early Career Awards. Teaching roles include Finite Element Analysis, Dynamics, and Structural Mechanics courses at the University of Glasgow. Professional activities include editorial roles in Mathematics and Mechanics of Solids and organizing international conferences. His publications span over 40 papers in journals like Journal of the Mechanics and Physics of Solids and Proceedings of the Royal Society A , with a focus on magnetoelastic deformation, instabilities, and computational mechanics.

Matt Garrattمشاهده پروفایل

استاد

• Robotics
• Swarm Robotics
• Unmanned Aerial Vehicles
• +۵ مورد دیگر

Professor Matt Garratt is a faculty member at the University of New South Wales (UNSW Canberra), School of Engineering and IT, serving as AI theme lead for the Defence Trailblazer Universities initiative with over $200 million in funding. His primary research focuses on sensing, guidance, and control for autonomous systems within robotics and unmanned aerial vehicles. Garratt's research spans robotics, swarm intelligence, and autonomous systems with emphasis on bio-inspired navigation techniques and adaptive flight control. His work addresses critical challenges including terrain following using vision systems, landing UAVs on moving platforms, and developing self-organizing swarms. He integrates artificial intelligence, computer vision, and machine learning to advance unmanned systems capabilities in complex environments. Analysis of his recent publications reveals strong trends in bio-inspired UAV navigation (particularly honeybee behavior modeling) and swarm robotics applications. His work increasingly incorporates deep learning for perception tasks while addressing real-world challenges like gas plume detection and adversarial robustness in 3D vision systems. The research demonstrates consistent progression toward practical implementation of autonomous systems in dynamic environments. Professor Garratt has secured over $7.7 million in external research funding as Chief Investigator on 33 grants. He actively mentors graduate students with scholarships available for Masters and PhD research in robotics and AI, focusing on: UAV path planning and adaptive control systems Swarm robotics collective motion optimization Bio-inspired autonomous navigation techniques Computer vision for robotic perception He co-founded the UNSW Canberra AIR (AI and Robotics) Group (AIR Lab), which drives research in trusted autonomy, swarm intelligence, and AI integration for defense applications. The lab develops practical solutions for autonomous systems operating in complex, real-world environments while maintaining ethical AI frameworks.

Gregory J. Wagnerمشاهده پروفایل

دانشیار

• Additive Manufacturing
• Multi-scale Simulations
• Multi-physics Modeling
• +۴ مورد دیگر

Gregory J. Wagner is an Associate Professor of Mechanical Engineering and Director of Graduate Studies at Northwestern University's McCormick School of Engineering. His research focuses on developing computational methods for multi-scale and multi-physics problems in additive manufacturing, fluid dynamics, and heat transfer. He leads the Wagner Research Group, which specializes in high-performance computing tools for complex engineering simulations. Education includes a Ph.D., M.S., and B.S. in Mechanical Engineering from Northwestern University and Boston University. His work integrates machine learning with traditional computational methods to model material behavior, microstructure evolution, and process-structure-property relationships in advanced manufacturing. Notable contributions include the GO-MELT framework for thermal simulations and the C-HiDeNN neural network approach for large-scale systems. Research interests span additive manufacturing process modeling, multiphysics coupling, and data-driven approaches for material design. Awards include the Bette and Neison Harris Chair in Teaching Excellence. Publications emphasize thermal modeling, phase change phenomena, and computational fluid dynamics innovations. His lab's work bridges mesoscopic and multiscale modeling, with applications in energy systems, biomedical devices, and environmental engineering. Collaborations focus on experimental validation and industrial-scale simulation challenges.

• Entrepreneurship
• AI
• Innovation
• +۸ مورد دیگر

Julienne Senyard is an Associate Professor at Griffith University's Department of Management, affiliated with the Griffith Business School and the Centre for Work, Organisation and Wellbeing. She holds roles such as Program Outcomes Director for Griffith Business School and has over two decades of academic and entrepreneurial experience. She earned a PhD in Entrepreneurship from Queensland University of Technology (2015), with earlier degrees in Business Communication/Marketing and Arts from QUT and Griffith. Her research focuses on entrepreneurship, innovation, resourcefulness, and social impact, including refugee entrepreneurship and circular economy initiatives. Recent projects include evaluating waste management in First Nations communities and exploring AI's role in entrepreneurship education. Dr. Senyard has secured over $1.5M in research funding, including grants from the Queensland Government and Australian Research Council. Notable awards include the 2024 Vice Chancellor’s Innovation Engagement Award and Senior Fellow status from the Higher Education Academy. Teaching responsibilities include undergraduate courses like Innovation, Creativity, and Entrepreneurship (2043IBA) and postgraduate leadership modules. She supervises doctoral research on topics like social ventures, humanitarian integration, and agri-food systems. Her work emphasizes culturally grounded policy pathways and community-led solutions in circular economy frameworks.

• Natural Language Processing
• Large Language Models
• Soft Robotics
• +۴ مورد دیگر

Peiyi Wang is an Assistant Professor at Peking University's School of Electronics Engineering and Computer Science, Institute for Artificial Intelligence. With strong research output spanning both natural language processing and robotics, Wang maintains significant collaborations with Southern University of Science and Technology and National University of Singapore, particularly in soft robotics research with Professor Cecilia Laschi. Additionally, Wang is actively involved with DeepSeek-AI, contributing to several major language model initiatives including DeepSeek-R1 and DeepSeek-V2. Peking University, School of EECS, Institute for Artificial Intelligence (Primary) Southern University of Science and Technology (Collaborative) National University of Singapore (Collaborative) DeepSeek-AI Research Organization Dr. Wang's research spans two primary domains with significant intersection points. In natural language processing, Wang focuses on large language model reasoning capabilities, mathematical verification, uncertainty estimation, and preference alignment. The robotics work centers on soft robotics, particularly origami-inspired designs, strain-based modeling, and control systems for continuum manipulators. These domains converge in Wang's work on vision-language models, embodied AI, and multimodal reasoning systems. Recent work demonstrates particular innovation in mathematical reasoning verification (Math-Shepherd), soft robotic control systems, and red teaming frameworks for language model safety. Wang's publication record shows remarkable productivity, with over 40 publications between 2021-2025 across top-tier venues including ACL, EMNLP, CVPR, and IEEE Transactions on Robotics. The work demonstrates consistent progression from foundational NLP tasks to increasingly sophisticated multimodal and reasoning systems. The most recent publications (2024-2025) show particular emphasis on mathematical reasoning verification, soft robotics control, and language model safety evaluation. While specific awards aren't documented in the provided materials, Wang's work has clearly gained significant recognition through acceptance at top-tier conferences and collaborations with leading researchers in both NLP and robotics fields. Wang's research demonstrates strong interdisciplinary connections, bridging theoretical NLP work with practical robotics applications. The work with DeepSeek-AI suggests active industry collaboration while maintaining strong academic research output. Current research directions appear focused on improving language model reasoning reliability while developing novel soft robotic systems that can interact safely and effectively with complex environments.

Jeff Jacobمشاهده پروفایل

استاد

• Economic Development
• Applied Econometrics
• Business Analytics
• +۳ مورد دیگر

Dr. Jeff Jacob is a Professor of Economics at Bethel University, affiliated with the College of Arts and Sciences and the College of Adult and Professional Studies. His academic career began at Bethel in 2007, following roles at leading Indian economic policy think tanks focusing on international trade. He holds degrees from St. Stephen's College, Delhi School of Economics, and Southern Methodist University (SMU), including a Ph.D. in Economics (2006). Teaching focuses on economics and business analytics across undergraduate, adult, and MBA programs, covering courses like Data Mining, Econometrics, and Managerial Economics. His pedagogy emphasizes critical thinking, real-world problem-solving, and ethical considerations rooted in Christian faith principles. Research interests span applied econometrics, economic development, business analytics, and the economics of religion. Notable studies include analyses of democracy-growth linkages, social networks’ impact on homeownership, and the role of institutions in trade and geography. His work often employs panel data methods to explore complex socioeconomic questions. Publications include high-impact papers on topics like corruption reforms, drug policy effects, and sexual regulation trends. He has received grants for course development and academic initiatives, and maintains membership in Omicron Delta Epsilon. Presentations at conferences like APEE and the Southern Economic Association highlight his contributions to public choice theory and development economics.

Christopher Brooksمشاهده پروفایل

استادیار

• Educational Technology
• Data Science Education
• Learning Analytics
• +۳ مورد دیگر

Christopher Brooks is an Assistant Professor at the University of Michigan's School of Information, specializing in educational technologies and data science education. He directs the Educational Technology Collective (etc), a multidisciplinary research group focused on learning analytics, educational data mining, and collaborative learning systems. His work bridges computer science and education, with a focus on improving teaching methods through AI-driven tools and platforms. Research Interests: Development and impact assessment of educational technologies Predictive modeling for student success Data science pedagogy Privacy in smart home technologies Publications reflect a focus on learning analytics, MOOC design, and educational AI, with notable contributions to conferences like CHI, LAK, and AIED. Awards include multiple best paper recognitions. Teaching includes applied data science courses at UMich and Coursera. He leads the Master of Applied Data Science (MADS) program and collaborates with institutions like Microsoft to build AI-driven educational tools.

Marko Rilloمشاهده پروفایل

پژوهشگر

• Organizational Strategy
• Innovation Management
• Change Management
• +۳ مورد دیگر

Marko Rillo serves as the Head of MBA Curriculum at the Estonian Business School (EBS), an institution focused on business education. He holds a PhD in Management from the University of St.Gallen (Switzerland), specializing in Organizational Ambidexterity and Strategic Practices, alongside an MA in Economics from TalTech and a Bachelor’s degree from EBS. His academic career includes teaching courses such as Innovation Management, Strategic Management, and VUCA Innovation Practices. His research emphasizes workplace playfulness through LEGO Serious Play methodology and strategic leadership challenges in balancing innovation and operational effectiveness. Education Background: PhD in Management, University of St.Gallen (2020) MA in Economics, TalTech Bachelor’s Degree, Estonian Business School Advanced studies in Strategy and Innovation at INSEAD, IESE, Aarhus University, and Lappeenranta University of Technology Research Interests: His work spans organizational strategy, innovation management, change management, and leadership development. Notably, he has pioneered LEGO Serious Play methodologies in facilitation and strategic planning. His studies on ambidexterity explore how organizations balance exploration (innovation) and exploitation (efficiency) under leadership. Publications and Themes: His articles focus on strategy process dynamics, balanced scorecard applications, and workshop facilitation techniques. Recent work highlights client-centric strategies and conscious incompetence frameworks in team development. Recognition and Impact: Consulting experience with the European Commission, EBRD, and UN Developed training programs for businesses and institutions Advising and Outreach: Runs the social initiative Bright Knit l, enhancing student well-being through community engagement. No formal advisees listed, but contributes to curriculum design impacting students indirectly. Labs/Teams: Collaborates with EBS faculty on MBA program development and innovation initiatives.

Stephen Scottمشاهده پروفایل

استاد

• Child and Adolescent Psychiatry
• Parenting Interventions
• Conduct Disorders
• +۴ مورد دیگر

Stephen Scott is a Professor of Child Health and Behaviour at King’s College London’s Institute of Psychiatry, Psychology and Neuroscience. He is also a Consultant Child and Adolescent Psychiatrist specializing in conduct problems and adoption/fostering. His work focuses on parenting interventions, randomized controlled trials for antisocial behavior, and attachment theory. He authored influential textbooks like Child and Adolescent Psychiatry and Rutter’s Child and Adolescent Psychiatry . Awards include CBE (2014), Fellowship of the Academy of Medical Sciences (2017), and Honorary Fellowship from the Royal College of Paediatrics and Child Health (2019). Key research areas include parenting interventions for conduct disorders, attachment security’s societal impact, and mental health economics. He leads major studies like Helping Children Achieve and the Autism Spectrum Treatment and Resilience (ASTAR) trials. His work bridges clinical practice and policy through initiatives like the National Academy for Parenting Research and the NIHR Policy Research Unit in Mental Health. Dr. Scott collaborates with organizations like Place2Be and the Early Intervention Foundation. His publications span 30+ years, emphasizing evidence-based strategies for child mental health and behavioral challenges. Current projects investigate personalized interventions for conduct disorders and school-based mental health programs. His labs focus on translating research into scalable interventions, with recent studies on oxytocin’s neurobiological effects in conduct disorders and cost-benefit analyses of sensitive parenting.