Find Academic Supervisors

Lilia FerrarioView profile

Professor

• White Dwarf Physics
• Magnetic Field Physics
• Neutron Stars
• +7 more

Lilia Ferrario is a Professor and Director of the Mathematical Sciences Institute at the Australian National University (ANU). She holds a PhD in Theoretical Astrophysics from ANU (awarded April 20, 1990) and has established herself as a leading researcher in compact stellar objects and magnetic phenomena in stars. Her research focuses on white dwarf physics (100% fingerprint match), magnetic field physics (45%), neutron stars (23%), cataclysmic variables (15%), and millisecond pulsars (15%). She specializes in compact stars including white dwarfs, neutron stars, pulsars and magnetars, with particular expertise in fluid mechanical problems related to accretion in binary stars, radiation transfer effects, and modeling of cyclotron radiation from magnetic cataclysmic variables. Her recent publications show consistent focus on white dwarf systems, magnetic field origins, and binary star evolution. She has published in top journals including Nature, Nature Astronomy, and Monthly Notices of the Royal Astronomical Society, with significant citation impact (h-index of 32, 3378 total citations). Magnetic White Dwarfs review (2015) - 310 citations Binary star origin of high field magnetic white dwarfs (2008) - 200 citations Magnetism in isolated and binary white dwarfs review (2000) - 337 citations Professor Ferrario has supervised numerous research projects, including theoretical modeling of spectropolarimetric observations of magnetic white dwarfs and computational research infrastructure for mathematical sciences. Her work bridges theoretical astrophysics with observational constraints, contributing significantly to our understanding of stellar magnetism and compact object evolution.

• Digital Forensics
• Natural Language Processing
• Artificial Intelligence in Law Enforcement
• +3 more

Kyle Andrew Porter is a Researcher in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU), Gjøvik campus. His work focuses on the intersection of digital forensics, natural language processing, and artificial intelligence applications in law enforcement contexts. Dr. Porter's research interests include: Digital forensics methodologies and techniques Natural language processing for criminal investigations AI regulation compliance in law enforcement Data science approaches to security challenges Human factors in digital evidence analysis Metadata extraction and filesystem analysis His publication history reveals a clear evolution from foundational technical work in digital forensics (2017-2018) toward increasingly applied research addressing real-world investigative challenges (2021-2025). Recent work demonstrates sophisticated integration of NLP and AI techniques to solve practical problems in criminal investigations while navigating regulatory landscapes like the AI Act. His research consistently addresses efficiency improvements, accuracy concerns, and cognitive factors in digital evidence processing. Dr. Porter teaches IMT4133 - Data Science for Security and Forensics, contributing to the development of future professionals in this specialized field. His educational contributions also include an Educational Guide published with John Wiley & Sons in 2022.

Lionel BombrunView profile

Associate Professor

• Signal Processing
• Image Processing
• Remote Sensing
• +5 more

Lionel Bombrun is an Associate Professor at the University of Bordeaux, specializing in Signal and Image Processing within the MOTIVE team at IMS Bordeaux. His research focuses on the application of Riemannian geometry to texture analysis, remote sensing, and machine learning problems. His educational background includes advanced studies in signal processing and mathematics, though specific degrees aren't detailed in the provided text. His research interests span multiple domains including: Statistical modeling on Riemannian manifolds Covariance matrix analysis for texture classification Wavelet-based feature extraction Remote sensing applications for environmental monitoring Machine learning approaches for hyperspectral and radar data Bombrun's publication record shows consistent contributions to high-impact journals, particularly in IEEE Transactions. His recent work demonstrates growing interest in applying conformal prediction and deep learning techniques to aviation safety and precision agriculture. The publications reveal a strong pattern of interdisciplinary collaboration across mathematics, engineering, and environmental science domains. Among his notable scientific contributions is the development of Riemannian statistical models for covariance matrix descriptors, which has become influential in texture analysis and remote sensing classification tasks. Professor Bombrun actively collaborates with researchers across multiple institutions and industries, particularly in applications related to vineyard monitoring, forest management, and aircraft navigation systems. His work demonstrates both theoretical depth in mathematical statistics and practical applications in real-world problems.

Yingni GuoView profile

Assistant Professor

• Mechanism Design
• Information Economics
• Game Theory
• +2 more

Yingni Guo is an Assistant Professor in the Department of Managerial Economics & Decision Sciences at Northwestern University's Kellogg School of Management. She is currently a visiting scholar at Duke University during the 2024-2025 academic year and teaches advanced courses including Econ 885 on mechanism design without transfers. Her research bridges theoretical economics with real-world applications in market design and organizational behavior. Guo's research centers on mechanism design without monetary transfers , exploring optimal information disclosure, dynamic delegation, and strategic persuasion. Her work examines how agents communicate and make decisions under uncertainty across contexts like voting systems, labor markets, and organ allocation. She employs rigorous game-theoretic models to derive policy-relevant insights into market failures and institutional design, with significant contributions to understanding discriminatory practices and monopoly regulation. Analysis of her publication record reveals a cohesive trajectory in information economics , with increasing focus on dynamic settings and real-world applications since her 2016 AER lead article. Recent work spans top journals including Econometrica (3 papers), AER (2 papers), and QJE, demonstrating consistent impact in microeconomic theory. Her research group actively contributes to conferences like the Women in Economic Theory Workshop and ASSA meetings. Guo secured NSF Grant SES-1530608 (2015-2019) for Dynamic Mechanisms without Transfer jointly with Johannes Hörner, supporting her foundational work in non-monetary allocation. While current advisees aren't listed, her Spring 2025 reading group and course instruction indicate active mentorship of graduate students in economic theory.

Keun-Hwa LeeView profile

Research Professor

• Underwater Acoustics
• Acoustic Signal Processing
• Porous Media
• +3 more

Keun-Hwa Lee is a Research Professor in the Department of Defense Systems Engineering at Sejong University, South Korea. He holds a Ph.D. (2006) and B.S. (2000) from Seoul National University, with prior research professorship at Seoul National University (2006-2014) and a Visiting Scholar position at UCSD Marine Physical Laboratory (2011-2012). His career spans over 15 years in underwater acoustics and defense systems research. Education: Ph.D., Seoul National University, 2006 B.S., Seoul National University, 2000 Research Focus: Dr. Lee specializes in physical/data-driven acoustic signal modeling , fluid flow noise around submerged objects , porous medium/sediment acoustics , and target scattering signal processing . His work integrates fluid dynamics, machine learning, and acoustics to solve defense-related underwater sensing challenges, evidenced by major achievements in high-frequency porous medium experiments, 2D/3D acoustic propagation modeling, and ocean noise inversion techniques. Publication Trends: Recent work (2024-2025) demonstrates a decisive shift toward physics-informed neural networks and deep learning for ocean acoustics. Key themes include spectrogram-based target detection, modal wavenumber estimation, and propeller noise source localization, reflecting interdisciplinary convergence of signal processing, AI, and underwater acoustics for defense applications.

• Applied Microeconomics
• Economics of Law
• Economics of Corruption
• +5 more

Elena Viktorovna Pokatovich is an Associate Professor and Deputy Dean for Academic Affairs at the Faculty of Economic Sciences of the National Research University Higher School of Economics (HSE University), where she has worked since 2001. She is also a Member of the Academic Council of HSE University. Her academic career spans 24 years of teaching and research experience in economics. Her research interests focus on applied microeconomics, economics of law, and specialized areas including prostitution economics, corruption economics, market equilibrium, and price discrimination. She has published extensively in these fields, with numerous books, articles, and translated works. Her work often bridges theoretical economic models with practical applications in Russian and international contexts. Pokatovich's publications demonstrate a consistent focus on microeconomic theory, market structures, and the application of economic principles to unconventional markets. Her research on prostitution economics and corruption has been particularly notable, combining rigorous theoretical analysis with empirical investigation of these complex markets. Honorary certificate of the Faculty of Economic Sciences of HSE (January 2024) Medal 'Recognition - 20 years of successful work' of HSE (December 2022) Best Teacher award (2024, 2014-2022) Multiple academic bonuses for contributions to HSE's reputation (2008-2023) She has supervised numerous student theses and has been actively involved in curriculum development, including creating textbooks and problem collections for microeconomics courses. Her international experience includes research internships at Université Paris 1 Panthéon-Sorbonne and Harvard University, reflecting her commitment to global academic collaboration.

Emily A. HyndsView profile

Professor

• Combinatorics
• Graph Theory
• Extremal Graph Theory
• +3 more

Emily A. Hynds serves as Executive Director for Faculty Success, Associate Dean, and Professor in the Department of Mathematics and Computer Science at Samford University's Howard College of Arts and Sciences. She has taught undergraduate mathematics courses across all levels since joining Samford in August 2000. Her educational background includes: BS from Furman University MS from Emory University PhD from Emory University Dr. Hynds specializes in Combinatorics and Graph Theory , with concentrated research on extremal problems involving forbidden subgraphs, perfect matchings, and 2-factors. Her work explores structural properties of graphs, cycle decomposition, and enumeration techniques, often engaging undergraduate students in collaborative research projects that bridge theoretical concepts with practical applications. Her publication record spanning 1999-2018 demonstrates sustained focus on line graphs and factorization problems, with recent work extending Catlin's foundational theorems. This trajectory highlights her contributions to advancing graph theoretical frameworks through systematic analysis of subgraph constraints and factor structures. Scientific Awards: No specific awards, prizes, or fellowships were cited in the source material. Dr. Hynds actively mentors undergraduate researchers in combinatorics projects, reflecting her commitment to developing emerging scholars. While no specific grants are documented, her leadership in faculty success initiatives suggests involvement in academic development funding. Professional affiliations include the Alabama Association of College Teachers of Mathematics, Mathematical Association of America, and Phi Beta Kappa. Personal interests include avid attendance at Samford Bulldog sporting events with her family.

Marika KieferovaView profile

Senior Lecturer

• Quantum Computing
• Quantum Algorithms
• Quantum Simulation
• +3 more

Marika Kieferova is a Senior Lecturer at the School of Computer Science, University of Technology Sydney (UTS), and a researcher at the UTS Centre for Quantum Software and Information (QSI). She previously held a postdoctoral position at UTS and earned her PhD in Physics and Astronomy from the University of Waterloo (2019) with a cotutelle from Macquarie University. Research Interests Her work spans quantum computing, quantum simulation, and quantum information theory. Key areas include developing quantum algorithms for Hamiltonian simulation, error mitigation strategies, and entanglement-induced optimization challenges in quantum neural networks. She explores non-Abelian anyon braiding, engineered dissipation for correlated states, and bound states of interacting photons in superconducting qubit arrays. Article Trends Her recent publications focus on quantum dynamics in many-body systems, error suppression techniques, and algorithmic advancements. Topics include phase transitions in random circuits, superdiffusive quantum transport, and randomized multi-product formulas for efficient simulation. These works highlight her contributions to quantum chemistry, topological quantum computing, and NISQ-era applications. Scientific Awards QIP Best Poster Award (2020) IQC Achievement Award (2019) Grants and Leadership She leads the QB-suite grant for quantum algorithm design (2024-2027) and contributes to defense quantum optimization projects (2021-2024). She serves as an associate editor for Quantum Science and Technology and participates in peer review for Physical Review A.

• Computational complexity theory
• Algebraic computation
• Cryptography
• +5 more

Youming Qiao is an Associate Professor at the School of Computer Science, University of Technology Sydney (UTS), specializing in theoretical computer science. He obtained his PhD from Tsinghua University in 2012 under Andrew Yao and László Babai, followed by postdoctoral work at Singapore's Centre for Quantum Technologies. His research spans computational complexity, algebraic computation, cryptography, quantum information, and group theory, with a focus on tensor isomorphism, group isomorphism algorithms, and their applications in post-quantum cryptography. PhD in Computer Science, Tsinghua University (2012) Bachelor's in Computer Science, Tsinghua University Postdoc at Centre for Quantum Technologies, National University of Singapore His recent work includes polynomial-time algorithms for matrix tuple canonical forms, improved p-group isomorphism testing, and novel reductions bridging tensor isomorphism with graph theory. He actively supervises Master's and PhD students, including Euan Mendoza and Gang Tang, and contributes to quantum algorithms and complexity theory through grants like the ARC Discovery Project (2020-2024) and SQA Scholarships. Qiao is affiliated with UTS's Centre for Quantum Software and Information (QSI) and has developed practical post-quantum signature schemes.

• Economic Theory
• Game Theory
• Matching Theory
• +3 more

Manabu Toda is a Professor at the Faculty of Social Sciences, School of Social Sciences at Waseda University, where he has been teaching since 2000 (previously as Associate Professor). He holds a Ph.D. in Economics from the University of Rochester and specializes in Economic Theory, Game Theory, and Matching Theory. His academic career spans multiple institutions including Waseda University, Tokyo Keizai University, and affiliations with the Graduate Schools of Economics, Social Sciences, and Creative Science and Engineering at Waseda. Professor Toda's educational background includes: Ph.D. in Economics from the University of Rochester (1983-1988) Graduate studies in Economic Theory at Hitotsubashi University (1980-1989) Bachelor's degree in Economics from St. Paul's University (1976-1980) Professor Toda's primary research interests focus on Economic Theory, particularly Game Theory and Matching Theory. His work explores the mathematical foundations of economic systems, with emphasis on stability, monotonicity, and consistency properties in matching markets. He has made significant contributions to the axiomatization of core solutions in various matching frameworks. His research extends to Mechanism Design, Mathematical Economics, and General Equilibrium Theory, where he investigates the existence and properties of equilibrium solutions in both convex and non-convex economic models. Professor Toda's theoretical work has practical applications in market design problems, including the Japanese Resident Matching Program for physician placements. Professor Toda's publication record demonstrates a consistent focus on matching theory and game-theoretic applications in economics. His most recent work (2024) continues his long-standing investigation into monotonicity properties and stability in one-to-one matching problems, building on decades of theoretical development. Throughout his career, he has systematically explored the core solution concept across various matching frameworks, establishing axiomatic characterizations that connect discrete matching markets with continuous assignment games. His research trajectory shows a progression from foundational work on equilibrium existence in general economic models (1990s) to increasingly specialized contributions in matching theory (2000s-present). A notable pattern is his focus on consistency properties and their relationship with other solution concepts, which has provided important theoretical insights for market design applications, particularly in medical residency matching systems in Japan. While specific awards are not detailed in the provided information, Professor Toda's research impact is evidenced by his substantial citation record: 168 citations on Scopus (h-index 5) and 428 citations on Google Scholar (h-index 8, i10-index 7). His work has been published in prestigious journals including Games and Economic Behavior, Journal of Economic Theory, and International Journal of Game Theory, indicating recognition by his peers in the field of economic theory. Professor Toda has supervised numerous graduate students through his teaching of advanced economics courses at Waseda University, including graduate-level Market Economy Theory. His research has been supported by multiple competitive grants from the Japan Society for the Promotion of Science, focusing on applications of game theory to environmental cooperation problems, cost allocation methods, and matching systems. Notably, his recent work (2019-2022) examined regional disparities in physician clinical training matching in Japan, combining theoretical analysis with empirical investigation to improve rural healthcare services. Professor Toda collaborates with researchers across Waseda University, including colleagues in the Faculty of Political Science and Economics and the Faculty of Science and Engineering. His recent work on physician matching involved collaboration with Yoichi Kasajima, as evidenced by their co-authored 2024 paper. He has also worked with Toshiaki Suematsu and Sumihiko Ohira on environmental cooperation problems. Professor Toda has hosted research meetings with young scholars in matching theory, fostering the next generation of researchers in this specialized field.

Mark BowenView profile

Professor

• Thin-film theory
• Mathematical analysis
• Degenerate parabolic equations
• +5 more

Mark Bowen is a Professor in the Faculty of Science and Engineering at Waseda University, where he serves as Chair of the Major in Mathematical Sciences. He has been with Waseda University since 2011, first as an Associate Professor (2011-2022) and then as a Professor (2022-present). Prior to joining Waseda, he held academic positions at The University of Tokyo and the University of Nottingham, establishing an international research profile. Professor Bowen's research focuses on thin-film theory and mathematical analysis of degenerate parabolic equations. His work employs a combination of analytical methods (perturbation theory, bifurcation theory, dynamical systems, self-similarity) and numerical techniques (shooting methods, boundary value solvers, ADI computations) to study phenomena such as rupture, moving contact lines, and the effects of surface topography on liquid motion. His expertise extends to fluid mechanics, asymptotic analysis, and computational mathematics. His publication record demonstrates sustained research productivity over two decades, with recent work focusing on singularity formation in thin film equations, Cauchy-Dirichlet problems, and dipole solutions. The research spans theoretical mathematical analysis and practical fluid dynamics applications, connecting pure mathematics with real-world phenomena involving thin liquid films in nature and industry. American Physical Society (APS) Society for Industrial and Applied Mathematics (SIAM) Japanese Society for Industrial and Applied Mathematics (JSIAM) Mathematical Society of Japan Japan Society of Fluid Mechanics American Mathematical Society (AMS) Professor Bowen received the President's Award for Teaching from Waseda University in Spring Semester 2015. He supervises Master's theses and research projects, with current work including analysis of thin film equations on two-dimensional domains and Cauchy-Dirichlet problems for the porous medium equation through international collaborations. He leads the Bowen Laboratory, which currently includes undergraduate researchers Matthew Widjaja, Katerina Allegracia, Yaxin Luo, and Sameer Sharma. His research group has produced significant contributions to understanding thin film dynamics, rupture phenomena, and mathematical modeling techniques applicable across various scientific domains.

Tillmann RendelView profile

Research Fellow

• Programming Languages
• Software Engineering
• Domain-Specific Languages (DSLs)
• +4 more

Tillmann Rendel is a Research Fellow at the University of Tübingen , affiliated with the Department of Programming Languages and Software Technology . He contributes to projects involving DSLs , language design , and program transformations . Education: M.Sc. in Computer Science. Research interests center on programming languages , focusing on modular systems , functional programming , and domain-specific language implementation . His work explores invertible syntax descriptions , copattern matching , and variability-aware testing . Publications highlight advancements in parsing , DSL design , and language composition , with a strong emphasis on formal semantics , compiler design , and interactive development tools . Scientific Awards: Most Influential Paper Award at GPCE 2018 for 'Polymorphic Embedding of DSLs' (2008 paper co-authored with Hofer, Ostermann, and Moors). Collaborations include key contributions to the Uroboro project , participation in Dagstuhl Seminars , and presentations at major conferences like OOPSLA , ICFP , and DSLDI .

• Mechatronics
• Micro and Nano Systems Technology
• Mechanical Engineering
• +6 more

Стефан Кирilов Къртунов is a Professor in the Management Department at Technical University of Gabrovo, Bulgaria. With a career spanning over three decades, he has established himself as a prominent figure in mechatronics, micro-nano systems technology, and manufacturing engineering. His work bridges theoretical knowledge with practical applications, focusing on innovative educational approaches and technological advancements in engineering disciplines. Professor Kъртунов's research interests encompass a wide spectrum of engineering fields, with particular emphasis on mechatronics systems, micro and nano technology, production technologies, and educational methodologies for engineering students. His work demonstrates a consistent focus on practical applications of theoretical concepts, especially in the areas of manufacturing processes, quality control, and system integration. He has developed specialized training modules for polymer and hybrid nanocomposites, silicon structures, and optical components that have advanced both educational practices and industrial applications. Analysis of his recent publications reveals a strong trend toward interdisciplinary research that combines mechanical engineering with electronics, materials science, and environmental applications. His work shows increasing focus on sustainable technologies, educational innovation in engineering training, and the integration of modern manufacturing techniques with traditional engineering principles. The recurring themes across his publications include technological optimization, precision manufacturing, and the development of educational frameworks that prepare students for contemporary engineering challenges. Professor Kъртунов has successfully supervised six PhD students through completion, demonstrating his commitment to academic mentorship and the development of the next generation of engineers. His extensive project portfolio includes 15 significant research initiatives, ranging from internal university projects to international collaborations with institutions in Germany, Austria, Romania, and Ukraine. These projects have focused on areas such as mechatronic systems, micro-nano technology, production optimization, and waste treatment technologies. He has contributed significantly to the academic community through his leadership in developing automated design systems like PROTECH and MICROSIS, which have advanced the field of micro-mechanical component design and manufacturing. His work continues to influence both academic research and practical industrial applications in Bulgaria and beyond.

Fabiola NaldiView profile

Associate Professor

• Contemporary Art History
• Art Criticism
• Curatorial Practice
• +7 more

Fabiola Naldi is an Associate Professor at the Academy of Fine Arts of Bologna (ABABO), teaching Contemporary Art Languages, Museology and Management of Exhibition Systems, and Expressive Problems of the Contemporary. She also teaches Art Appreciation at the University of Bologna and Contemporary Art System for the Master's program in Curatorial Practice at IED Florence. She earned her PhD in Contemporary Art History from the University of Bologna's Faculty of Arts and Philosophy, specializing in Contemporary Art History, with a thesis on Phenomenology of Styles. In 2014, she obtained the National Scientific Qualification as an Associate University Professor. Naldi's research focuses on contemporary artistic practices, visual culture, and the relationship between art and public space. Her work explores the synaesthetic transformation of artistic practices, the relationship between aesthetic languages and visual culture, and the social, political, and linguistic connections in contemporary art processes. She examines performance practices, live arts, audio-video installations, and artistic practices in public spaces in relation to the expanded concept of spectator/user/consumer. Her publications demonstrate consistent engagement with video art, photography, street art, and contemporary artistic movements. The articles reveal a trajectory from early work on photographic transformations (2003) through video art (2012) to more recent explorations of contemporary art collectives, gender studies, and urban interventions. Her work consistently bridges historical avant-garde movements with contemporary practices, particularly examining how artistic processes have been freed from traditional contexts. Member of the board of directors of the Bologna Museums Institution (2017-2022) Member of the Commission for Art in Public Space for the Municipality of Bologna (since January 2023) Correspondent for specialized magazines including ArtLab, Around Photography, and Flash Art Naldi has curated numerous exhibitions including the Painted Wall Biennial in Dozza (2009, 2011, 2013), 'Frontier. La linea dello stile' (2012-2016), and 'Time Code' exhibition at MAMbo - Museo d'Arte Moderna di Bologna. She co-created ArtTV, a video art program on MATCH MUSIC satellite channel, and co-curated the Pomilio Blumm Prize program for SKYARTE in 2015. Her curatorial work demonstrates a consistent focus on the intersection of art, public space, and contemporary media.

• Graph Theory
• Domination Theory
• Topological Indices
• +3 more

Bermudo Navarrete is a University Professor in the Department of Economics, Quantitative Methods and Economic History at Pablo de Olavide University's Higher Polytechnic School in Seville, Spain. His academic career spans over two decades, with teaching positions at multiple international institutions including the University of Seville, Popular Autonomous University of Puebla (Mexico), and The College of the Bahamas. Professor Navarrete specializes in Graph Theory and Discrete Mathematics, with particular expertise in domination theory, topological indices, and mathematical analysis. His research focuses on differential of graphs, hyperbolicity in graphs, and vertex-degree-based topological indices. His work bridges theoretical mathematics with applications in chemical graph theory and network analysis. His extensive publication record shows a clear evolution from early work in operator theory to his current focus on graph theory applications. Since 2012, his research has centered on domination parameters, differential sets, and topological indices in various graph structures, with increasing applications to chemical graph theory and computational methods. Throughout his career, Professor Navarrete has maintained an active international research presence with numerous research stays at institutions worldwide including universities in Russia, Venezuela, USA, Poland, Mexico, Germany, Colombia, Argentina, Brazil, and the Dominican Republic. He teaches undergraduate courses in Algebra, Calculus, and Final Degree Projects for Computer Engineering students across multiple specializations including Information Systems, Data Science, and Mind in Information Systems. His teaching reflects the mathematical foundations required for modern computer science applications.