Find Academic Supervisors

• Differential Algebra
• Model Theory
• Number Theory
• +7 more

James Freitag is a Professor in the Department of Mathematics, Statistics, and Computer Science at the University of Illinois at Chicago (UIC). He earned his PhD from UIC in 2012, specializing in Model Theory and Differential Algebraic Geometry . Prior to his current role, he held postdoctoral positions at UC Berkeley and UCLA and served as a research member at the Mathematical Sciences Research Institute (MSRI) and Fields Institute. His research integrates model theory , differential algebra , and number theory , with recent emphasis on functional transcendence, geometric stability theory, and applications to machine learning. Key themes include: Strong minimality in differential equations and stability theory Ax-Lindemann-Weierstrass theorems for Fuchsian groups Combinatorial and algorithmic aspects of query learning His publications (2017–2025) predominantly explore differential-algebraic geometry, model-theoretic classification, and computational learning. Recurring topics include Painlevé equations, Littlestone dimension, nonminimality bounds, and geometric invariants in differential systems. He advises doctoral students in differential algebra and machine learning and directs the Young Scholar Program —a summer camp for Chicago high school students. His research is funded by NSF grants, including CAREER #1945251 and #2452197.

Soyeon AhnView profile

Professor

• Health Communication
• Educational Assessment
• Psychometrics
• +3 more

Soyeon Ahn is a full-time Professor in the Department of Education and Psychological Studies at the University of Miami's School of Education and Human Development. Her academic profile demonstrates active research leadership in health communication, educational assessment, and psychometrics, with recent publications spanning 2024-2025. Contact details include email s.ahn@miami.edu, phone (305)284-2929, and ORCiD 0000-0003-2581-306X. Research interests focus on Health Belief Model applications in social media health campaigns, fairness evaluation of high-stakes educational exams, and eHealth interventions for obesity management. She investigates how content creator characteristics (e.g., race, occupation) affect user engagement with health messages, examines psychometric validation of assessment tools via Rasch modeling, and explores generative AI's pedagogical impact. Her work integrates intersectionality frameworks to address health disparities in clinical settings. Recent publications reveal strong interdisciplinary trends connecting public health, education, and technology. Key themes include methodological rigor in meta-analyses of occupational cancer studies, social media's role in vaccine behavior change, and AI literacy training for educators. Her findings consistently emphasize practical implications: optimizing health messaging through HBM constructs, addressing test bias in educational equity, and leveraging technology for behavior intervention. The 2024-2025 output shows increasing focus on real-world application of measurement theory.

• General Relativity
• Quantum Field Theory
• Black Hole Physics
• +5 more

Eleni Alexandra Kontou is a Lecturer in Mathematics Education with a primary affiliation in Theoretical Physics. Her work bridges mathematical formalism and gravitational physics, focusing on energy conditions, black hole thermodynamics, and quantum field theory in curved spacetime. She actively contributes to research in singularity theorems, wormhole stability, and semiclassical gravity. Current research areas include General Relativity , Quantum Field Theory , and Black Hole Physics . Key contributions involve Quantum Energy Inequalities , Hawking Radiation , and Effective Field Theory applications. Her publications address causal structure , cosmological models , and dimensional compactification effects . Recent work analyzes energy conditions in large N CFTs, wormhole stability, and gravitational microlensing phenomena. She collaborates internationally and maintains an ORCID profile with 7 citations.

Vitaliy LomakinView profile

Professor

• Electromagnetic Theory
• Computational Electromagnetics
• Nanophotonics
• +7 more

Vitaliy Lomakin is a Professor in the Department of Electrical and Computer Engineering at the University of California, San Diego (UCSD), affiliated with the Jacobs School of Engineering. He joined UCSD in September 2005 and is associated with the Center for Memory and Recording Research (CMRR). His research spans electromagnetic theory, computational methods, nanophotonics, and metamaterials. His research interests include: Electromagnetic theory and computational techniques in frequency and time domains Wave phenomena on metal-dielectric surfaces and subwavelength structures Antenna analysis and design, including high-efficiency cell-phone antennas Nanophotonics and plasmonics, particularly nanoscale lasers Micromagnetic simulation and magnetic recording technologies Metamaterials, including left-handed and polarization-converting materials His recent publications reveal a strong focus on high-performance computing for electromagnetic and micromagnetic simulations, GPU-accelerated solvers, nanoscale coherent light sources, and advanced magnetic recording systems. Key themes include FastMag development, plasmonic excitation, metamaterial design, and thresholdless nanolasers. Notable scientific contributions are evident through publications in Nature , IEEE Transactions , ACS Nano , and Applied Physics Letters , though specific awards are not listed in the provided text. He advises several graduate students, including Shaojing Li, Ruinan Chang, and Marko Lubarda, and collaborates with researchers in micromagnetics and photonics. His group utilizes advanced computational tools for modeling electromagnetic and magnetic systems. He has also contributed to educational development in electromagnetics and optics at the graduate level. Labs and teams associated with him include the CMRR research group, where he leads projects in electromagnetic modeling, magnetic recording, and nanophotonic devices. His work integrates theoretical, numerical, and applied approaches across disciplines.

• Marketing Strategy
• B2B Marketing
• Service Marketing
• +3 more

Dr. Miriam Guenther is a Senior Lecturer in Marketing at the University of Liverpool Management School, UK. She holds a PhD in Marketing from the University of Melbourne, Australia. Her research focuses on strategic marketing in business-to-business contexts, with expertise in marketing-finance interfaces, service marketing, and social networks. Her work emphasizes methodological rigor, particularly in partial least squares structural equation modeling (PLS-SEM) and propensity score modeling. She has published in top-tier journals such as Journal of Marketing and Industrial Marketing Management , addressing topics like marketing accountability, advertising effectiveness, and brand activism's societal impacts. She is affiliated with the Liverpool Advanced Methods for Big Data Analytics (LAMBDA) Research Centre. Teaching responsibilities include modules on consumer insight research and marketing analytics. Her recent publications (2023–2025) demonstrate a focus on advancing quantitative methods in B2B marketing while exploring contemporary challenges in brand activism and marketing-finance integration.

Yannan ShenView profile

Associate Professor

• Dynamical Systems
• Mathematical Physics
• Numerical Analysis
• +6 more

Yannan Shen is an Associate Professor in the Department of Mathematics at the University of Kansas. Her research focuses on applied mathematics, particularly models from physics and engineering involving optical systems, metamaterials, plasmas, and Bose-Einstein condensates. She employs methods such as asymptotics, variational approximations, rigorous analysis, numerical analysis, and scientific computing to study existence, stability, and dynamics of solitary wave solutions. Her work has been supported by an NSF grant (DMS-206218, 2022-2025). Recent research emphasizes nonlinear wave equations, including the Camassa-Holm system, Novikov equation, and short-pulse equations. She teaches advanced courses like Applied Partial Differential Equations and Numerical PDE, reflecting her expertise in applied mathematics and computational methods. Key research areas: Dynamical systems, mathematical physics, numerical analysis, and nonlinear PDEs Expertise in models involving metamaterials, plasmas, and optical systems Recipient of NSF funding supporting studies on wave systems and liquid crystals

Marte Cecilie Wilhelmsen SolheimView profile

Professor

• Innovation Studies
• Workforce Diversity and Innovation
• Economic Geography
• +5 more

Marte Cecilie Wilhelmsen Solheim is Professor of Innovation and Vice-Rector for Innovation and Society at the University of Stavanger (UiS), Norway. She is affiliated with the UiS Business School’s Department of Innovation, Management and Marketing and serves on the steering committee of UiS Smart Cities and the national Research Network for Smart Sustainable Cities. Education: PhD in Innovation Studies, University of Stavanger, defended January 2017 with the thesis Innovation, Space, and Diversity . Opponents: Prof Ron Boschma & Assoc Prof Abigail Cooke. Supervisors: Prof Rune Dahl Fitjar & Prof Ragnar Tveterås. Research Interests: Solheim’s research sits at the intersection of innovation studies, economic geography and organisational theory . She investigates how workforce diversity —spanning migration background, gender, education and work experience— drives innovation, export performance and regional development . Specific themes include: Foreign-born workers as catalysts for innovation and international market access. Combinatorial innovation arising from diverse knowledge pools. Gendered and geographical variations in diversity–innovation links. Smart cities, responsible innovation and digital transformation in times of crisis. Publication Trends: Across more than 40 peer-reviewed works since 2016, Solheim has advanced large-scale quantitative analyses of Norwegian employer–employee data, qualitative case studies of energy-sector transformation and conceptual pieces on migration and innovation policy. Recent strands explore post-COVID digitalisation, eco-innovation geography, immigrant entrepreneurship and gender bias in venture-capital decisions , consistently emphasising inclusive innovation. Scientific Awards & Recognition: 2021 Competence Sharing Prize – Stavanger-region Chamber of Commerce, for outstanding dissemination of research to business and society. Member, Academy of Young Researchers in Norway . Regional Studies Association (RSA) Ambassador to Norway . Advising & Funding: Solheim presently supervises two PhD candidates— Xiangyu Quan (Smart Cities, Innovation & Policy) and Alina Meloyan (Universities & Regional Development). She has led or partnered in numerous national and international research and consultancy projects, frequently serving as expert advisor to Norwegian ministries, the Confederation of Norwegian Enterprise (NHO) and regional development agencies. Labs & Teams: She is an active member of the Research Network for Smart Sustainable Cities and sits on the steering committee for Smart Cities initiatives at UiS , fostering cross-disciplinary collaboration between business, engineering and social-science scholars.

Jacek BanasiakView profile

Professor

• Mathematical Modeling
• Population Dynamics
• Fragmentation-Coagulation Processes
• +5 more

Professor Jacek Banasiak holds a prestigious DST/NRF SARChI Chair in Mathematical Models and Methods in Biosciences and Bioengineering at the University of Pretoria, Department of Mathematics and Applied Mathematics. He also maintains strong academic ties with Lodz University of Technology in Poland where he serves as a research professor in the Department of Mathematical Modeling. His career spans several decades with extensive contributions to mathematical modeling, particularly in population dynamics, fragmentation-coagulation processes, and epidemiological modeling. Professor Banasiak's research interests center on mathematical modeling of biological and physical processes, with particular expertise in singular perturbation theory, semigroup theory, and transport equations on networks. His work bridges theoretical mathematics with practical applications in epidemiology, ecology, and population biology. He has developed sophisticated mathematical frameworks for understanding fragmentation-coagulation phenomena, malaria transmission dynamics, and savanna ecosystem modeling. His publication record shows a consistent trajectory of high-impact research, with recent work focusing on climate-based malaria models, multiscale epidemiological systems, and mathematical analysis of growth-fragmentation equations. His publications appear in top-tier journals across mathematical analysis, epidemiology, and mathematical biology fields, demonstrating the interdisciplinary nature of his work. DST/NRF SARChI Chair in Mathematical Models and Methods in Biosciences and Bioengineering Author of numerous influential publications spanning from 1984 to 2025 Editor of special issues and author of several books including 'Introduction to Mathematical Methods in Population Theory' (2025) Professor Banasiak has supervised over 15 PhD students, many of whom have gone on to successful academic careers. His mentoring spans topics including fragmentation-coagulation with transport effects, telegraph systems on networks, and mathematical modeling of malaria transmission. His research has attracted significant funding, particularly through his SARChI Chair position which supports advanced mathematical research in biosciences and bioengineering.

• Computer Science
• Artificial Intelligence
• Cybernetics
• +3 more

Dilip Sarkar serves as an Associate Professor in the Department of Computer Science at the College of Arts and Sciences, University of Miami. His academic profile demonstrates a strong research focus across multiple domains of computer science with particular emphasis on theoretical foundations and practical applications. Dr. Sarkar's research interests include: Artificial Intelligence and Cybernetics Parallel Algorithms and Programming Combinatorics Image Processing and Compression Internet of Things Security Machine Learning Applications in Healthcare Quantum Computing Approaches His publication record from 2018-2024 reveals a researcher engaged with cutting-edge computational challenges. Recent work spans quantum tensor networks for time series analysis, security frameworks for single sign-on systems, efficient computation in belief theoretic models, and machine learning applications for traumatic brain injury recovery prediction. His research demonstrates consistent integration of theoretical computer science with practical problem-solving across diverse application domains. As a member of CCS (Center for Computational Science) at the University of Miami, Dr. Sarkar participates in interdisciplinary research initiatives that bridge computational methods with scientific discovery across multiple fields. His technical expertise spans both theoretical frameworks and practical implementations, with notable contributions to image compression techniques, particularly for medical applications, and security protocols for modern web and IoT environments.

• Bank Soundness
• Artificial Intelligence
• Student Learning
• +1 more

Dr. Charmele Ayadurai is a researcher affiliated with the Department of Finance at Durham University . Her work spans interdisciplinary themes including bank soundness , artificial intelligence , and student learning and wellbeing . Education: Not explicitly detailed in available texts. Her research focuses on: Financial stability mechanisms in banking Ethical AI applications for economic decision-making Socioeconomic determinants of child welfare and educational equity Policy interventions for poverty reduction Recent publications analyze childcare affordability , post-pandemic equity strategies , and machine learning in banking . She collaborates with multidisciplinary teams across health, education, and finance domains. Notable affiliations include: Centre for Banking Institutions and Development School of Education (associated with pedagogy reports) N8 Research Partnership Health Equity North Her work has been cited in policy frameworks addressing regional disparities in the UK and Malaysia.

• Plasma Physics
• Fusion Energy Research
• Computational Plasma Physics
• +6 more

Univ.-Prof. Dr. Alexander Kendl is a Professor and Director of the Institute of Ion Physics and Applied Physics at the University of Innsbruck. His research focuses on computational plasma physics with critical applications to magnetic confinement fusion energy, particularly addressing challenges in plasma edge physics and turbulence modeling for next-generation fusion reactors. Dr. Kendl received his Doctorate from the Technical University of Munich in 2000, following his Abitur from Gymnasium Schrobenhausen in 1990. He was appointed Associate Professor at the University of Innsbruck in 2010 and promoted to University Professor in 2020. His academic journey reflects a deep commitment to advancing plasma physics through rigorous computational approaches. Dr. Kendl's research interests center on plasma turbulence in magnetically confined systems , with particular emphasis on gyrofluid modeling , edge-localized modes (ELMs) , zonal flow dynamics , and impurity transport in fusion plasmas. His work bridges fundamental plasma physics with practical applications for ITER and DEMO, addressing critical challenges in plasma confinement and stability. He has developed sophisticated computational tools including GREENY, GHW, and TIFF to simulate complex plasma phenomena with high fidelity. His recent publications reveal a strong focus on advancing full-f gyrofluid approaches that capture kinetic effects while maintaining computational efficiency. Dr. Kendl's research spans from fundamental investigations of plasma dynamics to direct applications for current fusion devices like ASDEX Upgrade, with particular attention to hysteresis phenomena, electron-positron plasmas as fundamental testbeds, and the development of novel numerical methods for plasma simulation. As Director of the Institute of Ion Physics and Applied Physics, Dr. Kendl leads a vibrant research group that contributes significantly to the international fusion community. His team develops cutting-edge simulation codes and collaborates extensively with major fusion facilities worldwide, advancing our understanding of plasma edge physics and turbulence.

• Motor Skills
• Physical Literacy
• Physical Activity Measurement
• +5 more

Professor Lisa Barnett is a leading academic in Physical Activity and Health at Deakin University's Institute for Physical Activity and Nutrition within the Faculty of Health. She currently serves as Associate Head of School for Research and has held progressive academic positions since 2009, advancing from Lecturer to her current Professorship (2022-present). Her internationally recognized work focuses on developing measurement tools and interventions to improve physical literacy, with particular expertise in motor skills assessment. Doctor of Philosophy, University of Sydney Master of Public Health, University of New South Wales Graduate Certificate of Higher Education, Deakin University Bachelor of Social Science, Edith Cowan University Professor Barnett's research has established her as the number one researcher in the world in motor skills according to Expertscape. Her work bridges academic research with practical application through extensive industry partnerships and international collaborations. She developed the pictorial scale for Perceived Movement Skill Competence in 2016, now used in 35 countries, and co-led the development of the Australian Physical Literacy Definition and Framework in 2019. In 2021, she led development of an innovative pictorial tool to measure children's physical literacy for the Australian Sports Commission, requested by researchers from 22 countries across 17 language groups. Her research interests focus on Motor Skills, Physical Self-Perception, Physical Literacy, and Physical Activity measurement and intervention. Her recent publications demonstrate strong continuity in her research program, with 2025 articles focusing on physical literacy measurement tools, motor competence assessment, and interventions targeting children's physical activity. These works show increasing methodological sophistication with applications of artificial intelligence, longitudinal program evaluation, and digital health approaches. Number one researcher in the world in motor skills (Expertscape) Past President of the International Motor Development Research Consortium Co-leads the Physical Literacy Special Interest Group for the Asia Pacific Society of Physical Activity Professor Barnett has secured substantial research funding, including current grants such as 'Culturally adapting the Resistance Training for Teens movement intervention for Middle Eastern adolescent girls' and 'Implementation of a physical activity and physical literacy tool in schools.' She actively supervises doctoral students across diverse topics related to physical literacy, motor competence, and inclusive physical activity practices. Her leadership extends to directing research centers and contributing to national frameworks, demonstrating significant impact beyond traditional academic boundaries. She leads the Institute for Physical Activity and Nutrition research group and has been instrumental in developing international physical literacy standards and assessment tools that are transforming how children's movement skills are measured and developed worldwide.

Min JuView profile

Associate Professor

• Marketing
• Marketing Strategy
• Channel Management
• +4 more

Min Ju is an Associate Professor in the Department of Marketing and Entrepreneurship at the College of Business Administration, University of Missouri-St. Louis, teaching core courses including Basic Marketing (MKTG 3700), Management of Promotion (MKTG 3720), and Marketing Communications (MKTG 5700). She earned her PhD in Marketing & International Business from Saint Louis University, establishing her expertise in international business contexts. Her research program centers on: Marketing Strategy Channel Management Inter-firm Relationships Firm Capabilities Global Sourcing Offshore Strategy Analysis of her 21 publications reveals a pronounced focus on emerging markets—particularly China—examining organizational ambidexterity, innovation strategies, and historical imprints through advanced statistical methodologies like structural equation modeling and factor analysis. Dr. Ju actively contributes to the academic community as a member of the American Marketing Association and Academy of International Business. No details were provided regarding graduate student advising, research funding, or laboratory affiliations.

Laura Ciobanu RadomirovicView profile

Professor

• Combinatorial group theory
• Geometric group theory
• Algorithmic group theory
• +3 more

Laura Ciobanu Radomirovic is a Professor in the Department of Mathematics at Heriot-Watt University's School of Mathematical and Computer Sciences, where she serves as Co-Director of the Maxwell Institute for Mathematical Sciences. Her research profile shows active engagement in both theoretical and computational aspects of mathematics with significant contributions to group theory and related fields. Her educational background includes: Bachelor's degree in Mathematics with minor in Computer Science from Franklin & Marshall College, Lancaster PA (1999) Third year studies at ETH Zürich, Switzerland PhD in Mathematics from Rutgers University, NJ (January 2005) Professor Ciobanu Radomirovic specializes in combinatorial, geometric and algorithmic group theory, with strong connections to combinatorics and theoretical computer science. Her work bridges abstract mathematical concepts with computational applications, particularly focusing on equation solving in groups, growth functions, and the interplay between language theory and algebraic structures. She maintains active research collaborations across multiple countries, as evidenced by her international network of co-authors and research partners. Analysis of her recent publications (2023-2025) reveals a consistent focus on group equations, growth phenomena in various algebraic structures, and the application of computational methods to solve theoretical problems. Her work shows increasing sophistication in handling virtually abelian groups, dihedral Artin groups, and the connections between formal languages and group-theoretic properties. The interdisciplinary nature of her research is evident in the blend of pure mathematics, computational approaches, and theoretical computer science concepts. Her notable scientific achievements include: Swiss National Science Foundation professorship Ambizione fellowship at the University of Neuchâtel Fellowship at the Hausdorff Institute of Mathematics in Bonn Professor Ciobanu Radomirovic serves as Principal Investigator for an EPSRC Standard Grant (2018-2021) and actively mentors PhD students. Her professional service includes editorial work for the Proceedings of the Edinburgh Mathematical Society (2018-2025) and committee membership with the London Mathematical Society (2023-2027). She regularly presents her research through invited talks and conference contributions, maintaining an active presence in the international mathematical community. As Co-Director of the Maxwell Institute, she plays a key leadership role in one of the UK's prominent mathematical research centers, fostering collaboration between pure and applied mathematicians across Heriot-Watt University and the University of Edinburgh.

Günther GrünView profile

Professor

• Stochastic Partial Differential Equ (SPDE)
• Free Boundary Problems
• Continuum Mechanics
• +5 more

Prof. Dr. Günther Grün is a faculty member at the University of Erlangen-Nuremberg , specializing in Applied Mathematics . His work bridges rigorous mathematical analysis, numerical methods, and applications in continuum mechanics , fluid dynamics , and free boundary problems . He serves as Spokesperson for the DFG Research Training Group IntComSin (2022–2027), focusing on interfaces, complex structures, and singular limits in mathematical modeling and simulation. Education Diploma in Mathematics (1991), University of Bonn PhD in Mathematics (1994), University of Bonn Habilitation in Mathematics (2001), University of Bonn Research Interests center on degenerate parabolic equations (e.g., porous-medium and thin-film equations), stochastic SPDEs with multiplicative noise, diffuse interface models for two-phase flow with surfactants, and dimension-reduced models via singular limits. His work combines calculus of variations , homogenization , and Gamma-convergence for multi-scale analysis, alongside finite-element/finite-volume schemes for efficient simulations. Scientific Awards Marie Curie Research Fellowship (1996), Universita di Tor Vergata, Rome Advising Legacy includes mentoring doctoral candidates such as Dr. Fabian Klingbeil (Accenture), Dr. Jürgen Becker (Fraunhofer Institute), and Prof. Dr. Julian Fischer (IST Austria), who have pursued careers in academia, industry, and research institutions.