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Amir DemboView profile

Professor

• Probability
• Stochastic Processes
• Random Graphs
• +4 more

Amir Dembo is the Marjorie Mhoon Fair Professor in Quantitative Science at Stanford University, holding appointments in the Department of Mathematics and Statistics, and adjunct status in the Department of Electrical Engineering. His research focuses on probability theory and stochastic processes, with contributions to random graphs, large deviations, spin glasses, and statistical mechanics. He has authored numerous influential papers on topics such as random cluster models, Gibbs measures, and universality in interacting systems. Dembo teaches advanced probability courses (e.g., STAT310/MATH230) and has explored applications of probability in cryptography, including proof-of-stake blockchain protocols. His work bridges theoretical foundations with interdisciplinary applications in physics and computer science. Education details are not explicitly provided, but his academic trajectory is reflected through his professorial roles and research output. His research interests emphasize probabilistic analysis of complex systems, including random walks, graph structures, and non-equilibrium dynamics. Over 30 years of publications highlight his expertise in large deviation principles, asymptotic analysis of stochastic processes, and the interplay between combinatorics and probability. His recent work (2023–2025) explores cutting-edge topics like regular-tree-like graph models, flow-type scaling limits, and geometric area tilts in Brownian polymers. Earlier contributions include foundational studies on Erdős–Rényi hypergraphs, spectral measures of random matrices, and the universality of Langevin spin glass dynamics. While no explicit awards are listed, his prolific publication record and academic leadership reflect significant scholarly impact. Dembo’s advising and grants are not detailed here, but his teaching and research indicate mentorship in probability theory and stochastic modeling. Collaborations with interdisciplinary teams likely extend into areas like theoretical computer science and statistical physics.

Michel HabibView profile

Professor

• Corporate Finance
• Organisation Theory
• Financial Intermediation
• +3 more

Michel Habib is a Professor of Finance at the University of Zurich and a member of the Swiss Finance Institute. Previously, he served as an Associate Professor at the London Business School and as Director of the NCCR FINRISK. He holds graduate degrees from McGill University and the Wharton School of the University of Pennsylvania. His research focuses on corporate finance, organizational theory, and financial intermediation, with contributions to journals like the Journal of Finance and Review of Financial Studies. He has supervised numerous PhD, MA, and BA theses since 2007. His work explores topics ranging from managerial discretion and sovereign debt sustainability to reinsurance mechanisms and entrepreneurial behavior. He is a Research Fellow at the Center for Economic Policy Research and the Wharton Financial Institutions Center. His teaching includes courses on intermediate corporate finance. Professional activities include refereeing for top journals and committee roles at finance associations. Education: PhD/MBA from Wharton School (University of Pennsylvania), McGill University. Research Trends: Recent articles emphasize corporate governance structures, debt sustainability in advanced economies, and the interplay between organizational capabilities and strategic alliances. His work bridges theoretical finance with practical applications in banking secrecy, IPO dynamics, and sovereign debt management.

• Sea Level Change
• Climate Change
• Antarctica
• +6 more

Prof. Roderik van de Wal is a Professor of Sea Level Change and Coastal Impacts at Utrecht University, affiliated with the Faculty of Science and collaborating with the Faculty of Geosciences. His research focuses on climate dynamics, polar ice sheets, and sea level changes, integrating observational and modeling approaches at the intersection of natural and earth sciences. Research Interests: Paleoclimate modeling and ice core interpretation Climate sensitivity and dynamics Sea level variations and ice dynamics of Greenland and Antarctica Glacier modeling and numerical ice sheet simulations Collaborative efforts bridge oceanography, meteorology, glaciology, hydrology, and physical geography. His work emphasizes understanding future sea-level rise drivers, including thermal expansion, ice melt, and storm surge impacts. Key Contributions: Developed models like ZEMBA and UFEMISM for Quaternary climate and ice sheet dynamics Explored Antarctic bedrock uplift effects and basal meltwater dynamics Assessed regional sea level risks for coastal adaptation strategies He supervises graduate students on topics ranging from glacial inception to compound flooding projections. His research supports policy-relevant sea-level assessments through initiatives like the EU Knowledge Hub.

Doug GingrichView profile

Professor

• High Energy Physics
• Quantum Gravity Phenomenology
• String Theory
• +4 more

Douglas M. Gingrich is a Professor of Physics at the University of Alberta, affiliated with the Faculty of Science. His research focuses on experimental high energy physics, quantum gravity phenomenology, and string theory, particularly through collaborations with the ATLAS experiment at CERN. He holds a PhD (1988) from the University of Toronto, an MSc (1983), and a BSc (1982) from the University of Waterloo. In his role with ATLAS, Gingrich manages Monte Carlo simulation production, advises on TeV-scale gravity analyses, and coordinates computing resources for the collaboration. His work includes studies on black hole physics, Higgs boson self-coupling, and grid computing infrastructure. He has held leadership roles such as ATLAS-Canada Computing Coordinator (2017–2021) and currently serves on the LHC Computing Grid's Resource Scrutiny Group. Gingrich's research interests combine theoretical models with experimental validation, emphasizing the intersection of quantum gravity and particle physics. His recent publications explore quantum black holes, non-commutative geometry effects, and ATLAS data analysis techniques. He actively mentors graduate students and postdocs in experimental particle physics and computing. Outside academia, Gingrich is an avid canoeist and enjoys progressive rock music. His personal interests reflect a balance between rigorous scientific inquiry and outdoor adventure.

Valeria GiuntaView profile

Lecturer

• Mathematical Modelling
• Mathematical Biology
• Nonlinear PDEs
• +5 more

Dr. Valeria Giunta is a Lecturer in Numerical Analysis of Partial Differential Equations (PDEs) at Swansea University's Department of Mathematics within the School of Mathematics and Computer Science. Her research focuses on mathematical biology and nonlinear PDEs, particularly in modeling biological and ecological systems through reaction-diffusion-chemotaxis and nonlocal advection models. She investigates mechanisms behind aggregation phenomena, with applications to inflammatory diseases like multiple sclerosis and ecosystem species interactions. Dr. Giunta combines analytical and numerical methods to explore pattern formation, bifurcation analysis, and well-posedness of these systems. Research Expertise: Mathematical Modelling of Biological Systems Reaction-Diffusion-Chemotaxis Systems Nonlocal Advection-Diffusion Models Pattern Formation and Stability Analysis Bifurcation Analysis in Nonlinear Systems Research Contributions: Her recent work emphasizes chemotaxis models for multiple sclerosis, exploring mechanisms like cross-diffusion and nonlocal advection in ecological and medical contexts. She has analyzed transient space-use dynamics, nonlocal interaction effects in predator-prey systems, and global existence proofs for multispecies models. Her studies bridge theoretical analysis with numerical simulations to uncover ecological and medical insights. Affiliations & Activity: Available for postgraduate supervision in mathematical biology and PDE modeling. Active on ResearchGate, Google Scholar, and ORCID (0000-0003-1156-7136). Twitter: @Valeria_Giunta_

Daniel E. KelleyView profile

Professor

• Physical Oceanography
• Climate Science
• Marine Biology
• +5 more

Prof. Daniel E. Kelley is a Professor in the Department of Oceanography at Dalhousie University, Halifax, Nova Scotia, Canada. He serves as Graduate Coordinator and teaches both undergraduate and graduate courses. His research focuses on physical oceanography, particularly ocean mixing caused by internal waves and double-diffusive convection. He holds academic affiliations including roles as university Senator and former executive member of the Canadian Meteorological and Oceanographic Society. Education: BSc from Mount Allison University PhD from Dalhousie University Research Interests: His work addresses small-scale mixing processes in ocean dynamics, parameterization of convection, internal waves, and frontal instabilities. He collaborates on topics ranging from under-ice algal blooms to whale-ship collision mechanics. His methodologies emphasize open-source tools like R and the 'oce' package, as highlighted in his book Oceanographic Analysis with R . Notable Contributions: Developed the 'oce' R package for oceanographic data analysis Recipient of Rosemary Gill Award and NSERC fellowships Author of over 50 peer-reviewed publications Awards & Honors: Rosemary Gill Award for outstanding service to students NSERC University Research Fellowship Outstanding PhD Thesis (CMOS) Labs/Teams: Collaborates with interdisciplinary teams on oceanographic software development and environmental data analysis initiatives.

Eric KostelichView profile

Professor

• Data Assimilation
• Dynamical Systems
• Mathematical Modeling
• +1 more

Eric Kostelich is a President's Professor in the School of Mathematical and Statistical Sciences at Arizona State University. His research focuses on data assimilation, dynamical systems, and mathematical modeling with applications to climate science, neuroscience, and epidemiology. His work develops computational methods for analyzing complex systems, including weather prediction algorithms, brain tumor growth models, and pandemic forecasting. Research themes include ensemble Kalman filtering, numerical methods for differential equations, and interdisciplinary applications to biological and environmental systems. His publications demonstrate wide-ranging applications of mathematical modeling, from ionospheric data assimilation during geomagnetic storms to mask efficacy during COVID-19. Recent work emphasizes advanced sensor data analysis and physics-informed signal processing techniques.

• Applied Mathematics
• Fluid Mechanics
• Mathematical Biology
• +4 more

Scott McCue is a Professor of Applied Mathematics at the School of Mathematical Sciences, Queensland University of Technology (QUT), Brisbane, Australia. His academic journey includes a PhD from the University of Queensland (2000), followed by postdoctoral roles at the University of Nottingham and University of Wollongong. He joined Griffith University in 2004 before moving to QUT in 2007, progressing through academic ranks to full Professor in 2016. Education: PhD in Applied Mathematics, University of Queensland (2000) Bachelor of Science, University of Queensland Research Interests: Scott's work spans fluid mechanics, mathematical biology, and free boundary problems. Key areas include Stefan problems (melting/freezing), free surface flows, Hele-Shaw flows, and droplet impaction. His research integrates theoretical analysis with computational modeling, addressing challenges in biological systems, agricultural fluid dynamics, and complex fluid phenomena. Grants & Awards: EO Tuck Medal (2019) for research and service to ANZIAM JH Michell Medal (2009) Australian Competitive Grants: 'Mathematical and Computational Analysis of Ship Wakes' (DP180103260), 'Mathematical and computational models for agrichemical retention on plants' (LP160100707) Teaching & Supervision: Scott teaches courses in differential equations, fluid flow, and perturbation methods. His supervision focuses on moving boundary problems, nonlinear waves, and stochastic models of cell proliferation. He has advised numerous PhD and MPhil students on topics ranging from drug release modeling to ship wake analysis. Professional Engagement: Editor for journals including Proceedings of the Royal Society A and European Journal of Applied Mathematics . Active member of ANZIAM, SIAM, and the Australasian Fluid Mechanics Society.

Mehmet KarabelaView profile

Visiting Assistant Professor

• Islam and the Reformation
• Religion and Politics
• Political Theology
• +3 more

Mehmet Karabela is a Visiting Assistant Professor in Islamic Studies at the University of Rochester's Department of Religion and Classics. He holds a PhD from McGill University and has taught at Queen’s University in Canada, where he also served as a Senior Research Fellow. His research focuses on Islamic intellectual history, particularly the intersections between Islam and the Reformation, religion and politics, and political theology. He is the author of Islamic Thought Through Protestant Eyes (Routledge, 2022), shortlisted for the REFORC Book Award, and Mustafa Sabri Efendi (Opsi Press, 2021), a study of an Ottoman jurist. Dr. Karabela’s academic journey includes roles at Queen’s University as Term Associate Professor, Assistant Professor, and Visiting Assistant Professor. His research has been supported by grants such as the Canada Council for the Arts and multiple Queen’s University awards. He has published widely in journals like Renaissance and Reformation and Journal of the History of Philosophy , and his work often explores themes like Ottoman literature, medieval theological debates, and the legacy of Islamic thinkers in modern contexts. In addition to his scholarly contributions, Karabela directs the Canadian Institute for Multicultural Diplomacy and leads multimedia projects, including a documentary on Leonard Cohen. His teaching spans courses on Islam in the modern world, religious politics, and comparative religion. He has advised numerous graduate and undergraduate students on topics ranging from medieval Islamic theology to modern Middle Eastern cultural history.

Sara OmraniView profile

Senior Lecturer

• Energy Efficiency
• Natural Ventilation
• Building Physics
• +3 more

Dr. Sara Omrani is a Senior Lecturer in Virtual Design & Construction at the School of Architecture & Built Environment, Queensland University of Technology (QUT). She holds a PhD from QUT and specializes in energy efficiency, natural ventilation, building physics, BIM, thermal comfort, and passive design. Her research focuses on optimizing building design for sustainability, particularly in high-rise and residential structures, and integrates technologies like BIM and machine learning for improved construction practices. Dr. Omrani has contributed to numerous peer-reviewed publications and led projects addressing climate change impacts on buildings and sustainable construction decision-making. She actively supervises PhD students on topics ranging from BIM frameworks to apartment sustainability and solar energy potential. Her work bridges environmental science, engineering, and architectural design, promoting interdisciplinary solutions for resilient built environments. Education: PhD (Queensland University of Technology) Research Projects: Includes an Australian Competitive Grant-funded initiative on inter-generational living campuses and sustainability information provision for residential sectors. Research Interests: Thermal comfort, natural ventilation optimization, BIM integration, and sustainable construction materials. Recent work explores photovoltaic systems, precast concrete feasibility, and climate change adaptation in building design. Awards: Member of the ISO 41000 Sustainable Development Task Group (2020). Teaching: Courses include UXB100 Design Thinking for the Built Environment and DEH701 Research Methods.

• Cognitive Robotics
• Human-Robot Interaction
• Developmental Robotics
• +14 more

Alessandro Di Nuovo is a Professor in the Department of Computing and Mathematics at Sheffield Hallam University, within the College of Business, Technology and Engineering. He is a leading researcher in cognitive and developmental robotics, with a focus on human-robot interaction, assistive technologies, and neuromorphic computing. His work bridges AI, robotics, and healthcare, particularly in applications for autism therapy and active ageing. His research spans cognitive robotics , neuromorphic computing , assistive robotics , and human-robot interaction , with a strong emphasis on embodied cognition, numerical cognition in robots, and privacy-aware systems. He has pioneered the use of spiking neural networks and event-based vision for real-time robotic perception and learning. His work often integrates cloud computing and multimodal interfaces to enhance robotic services for elderly care and children with developmental disorders. The recent publications highlight a consistent trend in personalized, interactive learning systems , where robots learn from human feedback using reinforcement learning, natural language, and sleep-inspired consolidation. There is also a growing focus on privacy and cybersecurity in social robotics, reflecting ethical considerations in assistive technologies. Applications are strongly oriented toward healthcare , including stroke rehabilitation, ASD screening, and in-home monitoring for older adults. He has been involved in numerous collaborative projects, often as a principal investigator or senior researcher, working with institutions across Europe. His contributions to major conferences and journals underscore his leadership in the field of cognitive and developmental systems. Di Nuovo has supervised and collaborated with a wide range of students and researchers, including Simone Varrasi, Roberto Vagnetti, Muhammad Aitsam, and Daniela Conti. His work has been supported by grants from EPSRC and other UK research councils, particularly in the domain of robotics for healthcare and social good. He is actively involved in research groups focusing on assistive robotics , cognitive systems , and cybersecurity in healthcare robotics , contributing to both theoretical models and real-world implementations of socially intelligent robots.

Jing-Ming KuoView profile

Associate Professor

• Corporate Finance
• Corporate Governance
• Behavioural Finance
• +17 more

Dr. Jing-Ming (Thomas) Kuo is an Associate Professor in Finance at the Department of Finance, Birmingham Business School, University of Birmingham, UK. He joined the university in July 2016, having previously served as an Associate Professor at Southampton Business School and a Lecturer at Durham University Business School. His academic journey began with a B.B.A. in Statistics, followed by an MSc and PhD in Finance. His research interests span a broad range of topics in finance, including Corporate Finance, Corporate Governance, Behavioural Finance, Asset Pricing, Mergers & Acquisitions, Environmental Finance, and Applied Financial Econometrics . He investigates issues such as corporate governance mechanisms, abnormal returns in financial markets, earnings management, and the impact of institutional ownership on firm behavior. Dr. Kuo's recent publications reflect a strong focus on empirical finance, particularly in emerging markets like China. His work explores themes such as dividend tunneling, board governance in banking, liquidity effects on stock returns, and seasonal market anomalies . His research has been published in top-tier journals including the British Journal of Management , Corporate Governance: An International Review , Review of Quantitative Finance and Accounting , and Journal of Banking and Finance . He has received several external research grants, including projects on irrational M&A decisions, Chinese IPO performance, and corporate governance, with funding from institutions such as the University of Birmingham, Southampton Business School, and Durham University. He has also served as a referee for numerous academic journals, including the Journal of Banking and Finance , Journal of International Money and Finance , and European Financial Management . Dr. Kuo has successfully supervised 16 PhD students to completion, many of whom have secured academic positions in UK universities or roles in research and trading institutions. He has also held editorial roles, serving as an Associate Editor for the Journal of Economic Surveys and guest editor for a special issue of the Journal of International Accounting, Audit and Taxation . He is actively engaged in the academic community, regularly presenting at international conferences such as the Financial Management Association (FMA), European Financial Management Association (EFMA), and British Accounting & Finance Association (BAFA) meetings. He has also contributed to conference organization, serving as a chair, discussant, and seminar organizer.

Olaf LandsiedelView profile

Professor

• Distributed Systems
• Wireless Sensor Networks
• Peer-to-Peer Systems
• +4 more

Olaf Landsiedel is a Full Professor and head of the Distributed Systems Group at Kiel University, where he leads research in distributed computing, wireless sensor networks, and peer-to-peer systems. He has been a key contributor to the field since joining COMSYS in 2006 and earning his PhD in 2010. His research interests center on enabling accurate, scalable, and energy-efficient network simulations and protocols. He focuses on bridging the gap between simulation and real-world deployment, improving timing accuracy, modeling power consumption, and designing robust communication for unstable wireless environments. His work emphasizes modularity, flexibility, and reliability in distributed systems. The 15 most recent publications reflect a strong trend toward enhancing simulation fidelity, addressing bursty wireless links, enabling dynamic software updates in sensor networks, and developing tools for realistic experimentation. His work spans both theoretical models and practical implementations, often validated through simulation frameworks and testbeds. Olaf Landsiedel has advised numerous students on topics ranging from routing protocols to modular communication frameworks and ontology design, primarily during his time at RWTH Aachen University. While no specific grants are mentioned, his sustained publication record suggests consistent research funding and collaborative projects. He leads the Distributed Systems Group, which conducts cutting-edge research in network simulation, protocol development, and sensor network reliability. The group's work includes tools like KleeNet for bug detection and Horizon for parallel simulation, indicating a strong focus on practical system building and validation.

Øyvind YtrehusView profile

Professor

• Coding Theory
• Error-Correcting Codes
• Information Theory
• +7 more

Øyvind Ytrehus is a Professor at the Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Bergen (UiB), Norway. He is actively engaged in research and academic supervision, with a focus on coding theory and its applications in communication systems. Research Interests: His primary research areas include Coding Theory , Error-Correcting Codes , Information Theory , Network Coding , Cryptography , and RFID Communication . His work bridges theoretical foundations with practical implementations in wireless and networked systems. The recent publications (2024–2008) reflect a consistent trajectory in coding for communication security, RFID systems, and iterative decoding. Key trends include the use of formally unimodular lattices for secrecy gain, LDPC and turbo codes for erasure channels, and network coding for multicast and delay optimization. His work frequently intersects with physical-layer security and energy-efficient communication. Scientific Contributions: Co-edited special issues on coding theory and applications. Authored foundational work on convolutional codes, stopping sets, and generalized Hamming weights. Contributed to RFID and inductively coupled channel modeling. Advising and Grants: He has supervised several PhD candidates, including Bjørn Møller Greve, Christian W. Otterstad, and Mohsen Toorani. While specific grants are not listed, his extensive publication record and editorial roles suggest active grant involvement in coding and communication research. Labs and Teams: While no specific lab name is mentioned, his collaborations with researchers at Simula UiB, University of Valladolid, and Lancaster University indicate participation in interdisciplinary research networks focused on coding and communication systems.

Hamidreza M. NickView profile

Researcher

• CO2 Storage
• Subsurface Engineering
• Geothermal Energy
• +12 more

Hamidreza M. Nick is a Senior Researcher in GeoEnergy Engineering at the Technical University of Denmark (DTU), affiliated with the Danish Offshore Technology Centre and the Laboratory for Off-Shore Production Sciences. He is actively engaged in cutting-edge research on subsurface energy systems, including CO₂ storage, geothermal energy, hydrogen storage, and coupled thermo-hydro-mechanical-chemical (THMC) processes in porous and fractured geological formations. His research interests span a broad range of topics in subsurface engineering, including fluid flow in porous and fractured media, reactive transport, geomechanics of chalk reservoirs, numerical modeling using finite element methods, microbial processes in underground reservoirs, and the application of machine learning to reservoir simulation. His work contributes significantly to global efforts in climate change mitigation and sustainable energy solutions, aligning with several UN Sustainable Development Goals. The trends in his recent publications (2021–2025) reflect a strong focus on CO₂ sequestration in depleted reservoirs, particularly chalk fields, with emphasis on mechanical integrity, chemical interactions, and coupled simulations. He also explores emerging areas such as in situ hydrogen generation, microbial impacts on storage integrity, and deep learning applications for sparse data environments in reservoir modeling. Hamidreza M. Nick actively supervises multiple PhD students and leads research on key projects related to subsurface fluid dynamics, clogging phenomena, and reservoir simulation. His collaborative network includes researchers across Europe and beyond, and he regularly presents at major international conferences such as EAGE. Scientific Contributions and Supervision: Supervises PhD projects on bio-chemical clogging, subsurface fluid leaks, coupled flow, and formation damage. Active contributor to 297 publications and 23 research projects. Develops advanced numerical models for CO₂ and hydrogen storage, integrating physical, chemical, and biological processes. Engaged in field-scale modeling and validation using real-world data from North Sea reservoirs. Laboratories and Research Groups: He is a key member of the Laboratory for Off-Shore Production Sciences and the Danish Offshore Technology Centre at DTU, where he conducts experimental and computational research on offshore and subsurface energy systems.