Find Academic Supervisors

Sina AkhbariView profile

Academic

• Robotics
• Additive Manufacturing
• Kinematics
• +6 more

Sina Akhbari is a Research Associate in the field of Digital Manufacturing for Robotic 3D Concrete Printing & Milling at Loughborough University. He holds a PhD in Mechanical Engineering from the University of Tabriz, Iran (2021), where his doctoral research focused on kinematics and trajectory generation of multi-DOF parallel robots. He previously served as an Adjunct Lecturer at the Department of Mechanical Engineering, University of Tabriz (2018–2024), and co-supervised PhD students there. Sina also worked as a part-time CAD/CAM engineer at ModelSazi Tabriz Ltd. (2009–2021), blending academic research with industry experience. Education: PhD in Mechanical Engineering, University of Tabriz, Iran (2021) Ranked 4th in Iran’s National PhD Entrance Exam (National Organization of Educational Testing) Research Interests: He specializes in robotic systems, parallel kinematics, additive manufacturing, and sensor-based control. His work emphasizes trajectory optimization, real-time control systems, and energy efficiency in industrial applications. Recent projects include developing low-cost motion firmware for parallel robots and enhancing tactile sensor integration in robotic grippers. Awards: Outstanding academic achievement: 4th rank in Iran’s national PhD entrance examination Advising & Labs: Current role: Co-supervisor of PhD students at University of Tabriz Laboratory affiliation: DAV 0.042 Intelligent Automation Researchers Industry Link: His industry experience at ModelSazi Tabriz Ltd. informed his research on CAD/CAM integration and practical manufacturing challenges.

Giulia MichielettoView profile

Assistant Professor

• Multi-agent Systems
• Aerial Robotics
• Control Theory
• +4 more

Giulia Michieletto serves as an Assistant Professor (RTD-A) at the Department of Management and Engineering, University of Padova, where she leads research in networked control systems and multi-agent robotics. She is a core member of the SPARCS research team and holds the position of publicity and dissemination lead for the IEEE Robotics and Automation Society's Technical Committee on Multi-Robot Systems. Her academic foundation includes a Laurea Degree in Automation Engineering (2014) and a Ph.D. in Information Engineering (2018), both from the University of Padova, supplemented by a Visiting Researcher appointment at LAAS-CNRS (2016-2017) funded by the Eiffel Scholarship Program. Michieletto's research centers on multi-agent system modeling with specialized focus on aerial vehicle formations and nanosatellite coordination . She pioneers thrust-vectoring aerial platform design for enhanced environmental interaction, while advancing theoretical frameworks in bearing rigidity theory. Her work spans wireless sensor networks for environmental monitoring, multi-camera systems for cooperative tracking, and ground robotics for autonomous manipulation, addressing critical challenges in robustness, security, and distributed control. Analysis of her publication trajectory reveals deep integration of bearing rigidity theory with practical aerial robotics applications, evolving toward cybersecurity-enhanced navigation and distributed estimation for sensor networks. Recent work demonstrates increasing sophistication in handling GNSS spoofing attacks, multi-robot formation control under disturbances, and real-time surveillance systems. Her scientific recognition includes: Eiffel Scholarship Program of Excellence (2016) Finalist for IEEE RAS Italian Chapter Fabrizio Flacco Young Author Best Paper Award (2019) As an active educator, Michieletto supervises master's theses on contact-aware aerial robotics and mobile manipulation while securing research leadership as Principal Investigator for the Contact-Aware Robotics (CAR) project and co-PI for formation control research. Her grant portfolio spans national initiatives including TSTARK and INTERACT, plus EU H2020's AEROARMS, frequently as fellowship recipient. She drives innovation within the SPARCS research ecosystem, focusing on networked control solutions for complex robotic systems operating in constrained environments.

Florian SeitzView profile

Professor

• Satellite Geodesy
• Earth System Dynamics
• Geodetic Reference Systems
• +7 more

Prof. Dr. Florian Seitz is Full Professor of Geodetic Geodynamics at the Technical University of Munich (TUM) and Director of the German Geodetic Research Institute (DGFI-TUM). His research focuses on satellite geodesy applications for Earth system monitoring, with particular expertise in geodetic reference frames, sea level changes, and ocean dynamics. He leads international efforts in Earth observation through multiple space agency collaborations. Seitz earned his doctorate at TUM in 2004 with research on atmospheric and oceanic influences on Earth rotation, completed his Habilitation in 2011 on 'Geodetic Contributions to Earth System Research,' and served as junior professor of Earth Oriented Space Science and Technology (ESPACE) from 2007-2012. His career includes a research fellowship at NASA's Jet Propulsion Laboratory in 2006. His primary research interests encompass the exploration of dynamic processes in the Earth system using satellite geodesy, with specific focus on realizing global and regional geodetic reference systems, studying geodynamics, and analyzing sea level changes and ocean currents through satellite altimetry. His work bridges geodesy, oceanography, and climate science to understand Earth system interactions. Analysis of Seitz's recent publications reveals strong emphasis on satellite altimetry applications across three main domains: Arctic ocean monitoring (particularly Chukchi Sea circulation), coastal sea level variability (including vertical land motion effects), and river discharge estimation (using innovative DAHITI database approach). His research demonstrates consistent advancement in processing techniques for challenging environments like sea ice zones and coastal regions. Chair of ESA Genesis ITRF and Combination of Techniques Working Group (2024-present) Immediate Past President of IAU Commission A2 on Rotation of the Earth (2021-2024) President of IAU Commission A2 on Rotation of the Earth (2018-2021) Deputy Speaker of Forschungsgruppe Satellitengeodäsie (2016-present) Chair of TUM Examination Board Geodesy (2018-present) As Director of DGFI-TUM, Seitz oversees a major institution contributing to international reference systems. His team develops advanced algorithms for satellite data processing, maintains the DAHITI database for global river monitoring, and contributes to the DTRF series of terrestrial reference frames. Current research priorities include improving Arctic ocean monitoring with new satellite missions (SWOT, Sentinel-6), developing better coastal sea level models, and advancing techniques for measuring river discharge in ungauged basins.

Krzysztof BrzostowskiView profile

Professor

• Nonlinear Signal Processing
• Biomedical Signal Processing
• Time-Frequency Signal Representation
• +3 more

Krzysztof Brzostowski, DSc, PhD, Eng. is a Professor at the Wrocław University of Science and Technology, affiliated with the Faculty of Information and Communication Technology. He holds a position in the Department of Computer Science and Systems Engineering, located at ul. Z. Janiszewskiego 11/17, building C-3, room 15. His research focuses on nonlinear signal processing, biomedical signal processing, time-frequency signal representation, sparsity techniques, system identification, and multi-sensor fusion. Brzostowski's work integrates advanced signal processing methodologies with practical applications in biomedical engineering, sensor networks, and data-driven decision systems. He has contributed significantly to noise reduction techniques, real-time signal fusion, and adaptive systems for physical effort planning. His research often bridges theoretical signal analysis with clinical and engineering applications, addressing challenges in electromechanical delay measurement, gait analysis, and medical imaging enhancement. Notable contributions include a monograph on signal processing in data stream fusion (2020) and pioneering studies on MRI denoising, gyroscope signal enhancement, and hybrid reality data sharing protocols. His articles span journals like Biomedical Signal Processing and Control , Applied Intelligence , and conference proceedings in systems engineering and artificial intelligence. Brzostowski's academic service includes office hours on Wednesday, Thursday, Friday, and Saturday mornings, and he maintains active participation in academic conferences and editorial roles. While no specific awards are listed, his extensive publication record reflects sustained excellence in interdisciplinary signal processing research.

Zhen LiuView profile

Adjunct Assistant Professor

• Information economics
• Behavioral economics
• Financial markets
• +2 more

Liu Zhen holds dual faculty appointments as an Adjunct Assistant Professor of Teaching in the Department of Computer Science and Engineering at the University at Buffalo's School of Engineering and Applied Sciences and an Adjunct Lecturer in the Department of Economics within the College of Arts and Sciences. His interdisciplinary work bridges computational methods with economic theory, focusing on information asymmetry, behavioral decision-making, and financial market dynamics. His educational foundation includes a PhD and MA from Stony Brook University and a BA in Economics from Tsinghua University, establishing strong quantitative and theoretical grounding. These qualifications are reflected in his dual-departmental roles where he integrates technical and economic perspectives. Research interests emphasize how information structures influence market outcomes (information economics), psychological factors in economic choices (behavioral economics), and financial market mechanisms, extended through software and IT systems applications. This synthesis enables modeling of complex phenomena like investor behavior and policy impacts using computational frameworks. His publication record shows an evolution from advanced mathematical research—particularly in matrix theory and algebra—to applied economic investigations. The mathematical works provide rigorous analytical tools now leveraged in current economic studies, demonstrating methodological continuity despite disciplinary shifts. Key recognition includes: 2007 Outstanding Doctoral Student Paper Award (American Accounting Association Mid-Atlantic Regional Meeting) Research funding highlights comprise a Michigan Retirement Research Center grant (2008-2009) and a SUNY-Stony Brook Seed Grant for Survey Research (2007-2008), supporting projects on retirement literacy and survey methodologies. While no formal advisees are documented, his teaching roles involve mentoring students across computer science and economics curricula. Current collaborative work connects with University at Buffalo's interdisciplinary research ecosystem, particularly through the Center for Survey Research during his Stony Brook tenure, indicating ongoing engagement with empirical economic analysis teams.

• Image Processing
• Computer Vision
• Signal Processing
• +4 more

Sos S. Agaian is a Professor affiliated with City University of New York (CUNY), USA, with a former position at the University of Texas at San Antonio's Department of Electrical and Computer Engineering. His research focuses on advanced image and signal processing techniques, including thermal imaging, medical imaging, neural networks, and computer vision applications. He has authored numerous publications in top-tier journals and conferences, contributing to fields like adversarial attack defenses, solar panel segmentation, and quantum-inspired algorithms. His work emphasizes practical solutions for image enhancement, deblurring, and segmentation, with applications in healthcare, energy systems, and cybersecurity. Research Interests: Image Processing and Computer Vision Signal Processing and Machine Learning Medical and Thermal Imaging Neural Networks and Deep Learning Quantum Computing Applications in Imaging Recent Trends in Articles: Recent work highlights advancements in quaternion-based neural networks for weather removal, lightweight networks for solar panel fault detection, and novel entropy models for thermal imaging. Collaborations span medical diagnostics, cybersecurity, and energy systems, reflecting interdisciplinary impact. Grants and Collaborations: While specific grants are not detailed, his extensive publication record suggests active research funding in areas like computer vision and quantum information processing. Collaborators include institutions globally, emphasizing translational research. Labs/Teams: Not explicitly mentioned, but his work implies involvement in imaging and machine learning research groups focused on practical solutions for real-world challenges.

• Differential Geometry
• Mathematical Physics
• Symplectic Geometry
• +5 more

Prof. Vicente Cortés is a faculty member in the Department of Mathematics at the University of Hamburg, affiliated with the MIN Faculty and the Center for Mathematical Physics. He holds the academic rank of Professor and specializes in differential geometry, mathematical physics, and geometric analysis. His research focuses on topics such as quaternionic Kähler manifolds, Einstein metrics, generalized complex structures, and geometric flows. He is involved in major research initiatives including the Cluster of Excellence Quantum Universe and Collaborative Research Centre (SFB) 1624. His work bridges geometry with theoretical physics, particularly in areas related to supersymmetry, supergravity, and string theory. Notable contributions include studies on homogeneous spaces, conformal transformations, and geometric structures on Lie groups. He actively organizes conferences and workshops, such as the Northern German Differential Geometry Days and events under the SFB 1624. Prof. Cortés teaches advanced courses in differential geometry and mathematical physics, including 'Differential Geometry' and 'Generalized Geometry' at the master's level. His research is supported by grants from the Deutsche Forschungsgemeinschaft (DFG) and other institutions. He collaborates internationally, with co-authors from institutions like the University of Edinburgh, DESY, and KU Leuven.

Xiaolong LiView profile

Assistant Professor

• Geometric Analysis
• Ricci Flow
• Kähler Geometry
• +4 more

Dr. Xiaolong Li is an Assistant Professor at the Department of Mathematics, Statistics and Physics, Wichita State University, within the Fairmount College of Liberal Arts and Sciences. He holds a Ph.D. from the University of California, San Diego (2017), where his advisors were Professors Lei Ni and Ben Chow. Prior to his current role, he served as a Visiting Assistant Professor at the University of California, Irvine (2017–2020), working under Professor Richard Schoen, and held a Britton Postdoctoral Fellowship at McMaster University (2020–2021). His undergraduate studies were at Tsinghua University. His research focuses on Geometric Analysis , particularly employing partial differential equations to study geometric and topological properties of Riemannian manifolds. Key interests include Ricci flow, Kähler-Ricci flow, curvature operators, Einstein manifolds, and eigenvalue problems. Recent work emphasizes curvature constraints, geometric rigidity, and applications of matrix estimates in geometric evolution equations. Dr. Li’s publications (2016–2025) explore topics such as Li-Yau-Hamilton estimates, curvature operator analysis, and Robin eigenvalue problems, reflecting a deep engagement with both pure geometry and analytic techniques. His work bridges geometric flows, spectral theory, and complex geometry, contributing to foundational understanding of manifold structures and their topological implications. His academic journey includes postdoctoral research at leading institutions, reflecting a trajectory of rigorous scholarly contribution to differential geometry and geometric analysis.

Pedro Ferreira dos SantosView profile

Assistant Professor

• Algebraic Topology
• Algebraic Geometry
• Motivic Cohomology
• +3 more

Pedro Ferreira dos Santos is an Assistant Professor at the Departamento de Matemática, Instituto Superior Técnico in Lisbon. His research focuses on algebraic topology, algebraic geometry, and their interplay with homotopy theory, integrable systems, and Riemann-Hilbert problems. He holds a Ph.D. in Mathematics from the State University of New York at Stony Brook (1999), complemented by a M.A. (1995) and a Licenciado (1992) from Instituto Superior Técnico. Research interests prominently include motivic cohomology, equivariant homotopy theory, and real algebraic geometry. He explores connections between algebraic cycles, analytic currents, and geometric structures on real varieties. Recent work addresses Riemann-Hilbert factorization problems, integrable systems via Segal-Wilson approaches, and Lax equation singularities. Teaching engagements since 2001 have covered complex analysis, differential equations, algebra, and topology courses at the undergraduate and graduate levels. His publications emphasize theoretical frameworks linking algebraic geometry with topological methods, often collaborating with researchers like Paulo Lima-Filho and António F. dos Santos.

• Differential Geometry
• Minkowski Space
• Euclidean Geometry
• +3 more

Prof. Dr. Levent KULA is a full-time professor at Ahi Evran University, Faculty of Arts and Sciences, Department of Mathematics. His academic career spans institutions like Ankara University (1997-2007) and Ahi Evran University (2007-present). He holds a PhD in Mathematics from Ankara University (2003), following a master's (1998) and bachelor's (1994) in Mathematics. Education: PhD (2003), MSc (1998), BSc (1994) from Ankara University. Administrative Roles: Department Chair (2012-2019), Institute Director (2015-2017). Dr. KULA specializes in Differential Geometry , focusing on helices in Euclidean and Minkowski spaces , split quaternions , and surface characterization via curve intersections. His work bridges theoretical geometry with applications in higher-dimensional spaces and coordinate transformations. His 15 most recent publications (2016-2025) explore topics like slant curves, polynomial helices, and hyperspherical structures, primarily in E3 and Minkowski 3-space . These studies employ differential equations, quaternions, and geometrical frameworks like Sabban and pseudo-Sabban frames. Editorial Contributions: Served as editor for journals including International Electronic Journal of Geometry and Mathematical Sciences and Applications E-Notes (2016-2021). Collaborations: Frequent co-authorship with researchers like Bülent Altunkaya and Hasan Altınbaş. His work has been cited 969 times, with an h-index of 12.

RAMAZAN KOÇView profile

Professor

• Mathematical Physics
• Group Theory
• Crystallography
• +5 more

Ramazan Koç is a Professor in the Department of Physics Engineering at Gaziantep University's Faculty of Engineering. He has been serving in this position since 2007, having previously held positions as Associate Professor (2002-2007) and Assistant Professor (1995-2002) at the same institution. His academic career spans over three decades with significant contributions to mathematical physics, group theory, and crystallography. Education: PhD (1992-1995): Çukurova University, Institute of Science, Physics MS (1991-1992): Gaziantep University, Institute of Science, Physics Engineering BS (1983-1989): Middle East Technical University, Gaziantep Engineering Faculty, Physics Engineering Ramazan Koç's research primarily focuses on mathematical physics with special emphasis on group theory applications in crystallography and quasicrystals. His work explores the connections between higher-dimensional lattices and their projections to lower dimensions, particularly examining Coxeter groups, quaternions, and their applications to physical systems. He has made significant contributions to understanding the mathematical structures underlying quasicrystalline materials, including dodecahedral structures, twelvefold symmetries, and aperiodic tilings. His research also extends to quantum mechanics, where he has developed methods for solving quantum systems including the Pauli equation and quantum gates. His publication record demonstrates a consistent research trajectory spanning over 30 years with more than 50 scholarly articles in prestigious journals. His recent work (2018-2022) shows a continued focus on mathematical crystallography while also expanding into applied research on energy conversion technologies, particularly metal-air batteries. His publications appear in high-impact journals such as Acta Crystallographica, Journal of Physics A, and Journal of Mathematical Physics, indicating the interdisciplinary nature of his work bridging mathematics, physics, and materials science. Research Projects: Radioactive and Chemical Energy Conversion to Electrical Energy (2018-2019) Investigation of Spectrum Shift Related to Phosphors on Photovoltaic Panel Efficiency (2017-2018) Conversion of Radioactive Decay Energy to Electrical Energy (2014-2016) Quasicrystallography from Projections of Higher Dimensional Lattices (2014-2016) Professor Koç has supervised 5 doctoral theses and 11 master's theses, mentoring students in diverse areas including quantum information, energy conversion, and mathematical physics. His administrative experience includes serving as Department Chair (2008-2009, 2015-present), Institute Director (2008-2012), and Vice Dean (2006-2008). He has also contributed to the academic community through two patents related to aluminum-air batteries and membership in the Physics Engineers Association since 2009.

Yi LiView profile

Lecturer

• Fluid Mechanics
• Turbulence
• Flow Optimization
• +3 more

Dr. Yi Li is a Lecturer in Applied Mathematics at the School of Mathematical and Physical Sciences, University of Sheffield. His research focuses on fluid mechanics, particularly turbulence, with emphases on flow optimization, simulation, and stochastic modeling. He explores topics such as downscaling in multi-scale systems, data assimilation for turbulence modeling, and chaos synchronization in turbulent flows. Research Themes: Downscaling: Explores self-similarity properties in turbulent flows to improve subgrid-scale modeling. Flow Optimization: Combines machine learning and data assimilation to enhance turbulence predictions, addressing challenges like pollution control and weather forecasting. Stochastic Modelling: Investigates particle and bubble dynamics in turbulent flows to understand mixing and dispersion processes. Teaching: Dr. Li teaches advanced modules including Operations Research, Magnetohydrodynamics, and Topics in Advanced Fluid Mechanics. Publications: His work spans fluid dynamics, computational methods, and signal processing, with notable contributions to turbulence modeling, ultrasonic applications, and data-driven approaches. Recent publications focus on machine learning applications in bubbly flows and 4DVAR data assimilation techniques. PhD Supervision: Offers supervision in fluid mechanics, turbulence, and interdisciplinary projects combining data science with fluid dynamics. Prospective students can contact him via email .

Mauricio Ayala RincónView profile

Professor

• Term Rewriting Systems
• Automated Reasoning
• Theorem Proving
• +13 more

Mauricio Ayala Rincón is a Full Professor at Universidade de Brasília, affiliated with the Department of Computer Science and the Department of Mathematics. He is a leading researcher in computational logic, formal methods, and term rewriting systems, and heads the Theory of Computation research group (GTC/UnB). Research Interests: His work focuses on the formalization of mathematical and computational theories using proof assistants like PVS. Key areas include term rewriting systems, equational and rewrite-based deduction, automated reasoning, unification, nominal logic, formal verification, and applications in genomics and evolutionary algorithms. He also explores ethics in AI and mechanized mathematics. Recent Publication Trends: His recent articles (2023–2024) reflect a strong emphasis on formalizing algebraic and logical theories in PVS, advancing nominal equational reasoning, anti-unification over algebraic theories, and applying evolutionary algorithms to computational biology. The work is highly theoretical yet applied in verification and combinatorics. Scientific Awards: Best Paper Award at CICM 2023 for "Nominal AC-matching" Advising and Grants: He actively seeks PhD students in algorithmics, formal methods, theorem proving, and AI ethics. He has led numerous research projects, evidenced by extensive publications and editorial roles. He has not listed specific grants, but his continuous output suggests sustained funding. Labs and Teams: He leads the Grupo de Teoria da Computação (GTC/UnB) , which develops PVS libraries for term rewriting (TRS), nominal theories, and evolutionary algorithms. The group maintains public repositories and contributes to the NASA PVS library.

• Hyperbolic Geometry
• Kleinian Groups
• 3-Manifolds
• +5 more

Alan Reid is the Edgar Odell Lovett Professor of Mathematics and Chair of the Mathematics Department at Rice University . His work focuses on hyperbolic geometry, Kleinian groups, 3-manifolds, and arithmetic groups, with significant contributions to geometric topology and profinite rigidity. Research Interests: Hyperbolic 3-manifolds and orbifolds Profinite rigidity and group separability Mapping class groups and surface subgroups Arithmetic and geometric properties of Kleinian groups Low-dimensional topology and geometric embeddings Publications span key areas such as commensurability classes , surface subgroup constructions , volume minimality , and profinite properties of 3-manifold groups. Recent work includes studies on thin subgroups and geometric boundaries in higher dimensions. Books: In the Tradition of Ahlfors-Bers (co-editor) Surface Subgroups and Subgroup Separability in 3-Manifold Topology (with Long) The Arithmetic of Hyperbolic 3-Manifolds (with Maclachlan) Recent Lectures include presentations at the Workshop on Geometric Topology (Cortona, 2017), the NZMRI Summer Workshop (2018), and the International Congress of Mathematicians (2018).

• Database Management
• Data Privacy
• Data Science
• +4 more

Dr. Tianbing Xia is a Lecturer at the School of Computing and Information Technology, University of Wollongong (UOW), where he has been employed since 2021. He holds a PhD in Computer Science from UOW (1997–2000) and has over two decades of experience in tertiary education, research, and the IT industry. Prior to his PhD, he worked in the IT department of China Construction Bank HUBEI Province, contributing to software networking systems that earned a national-level award. His teaching spans a wide range of undergraduate and postgraduate courses, including CSIT115, CSCI 882, and others. Research interests include database management, data privacy, combinatorial code design, and computer security. He has actively supervised four Higher Degree Research students, focusing on topics like data processing optimization and cybersecurity. Dr. Xia’s research contributions span over 50 publications, with notable works in query optimization, parallel data transfer scheduling, and combinatorial matrix constructions. He has received funding for projects like Real-Time Visualisation of Intrusion Detection and Fuzzy-based Cryptography Applications . Notable recognition includes the national Technology and Advanced Development Grand Prize for a software networking system. He is currently available to supervise Masters and PhD students in data science and cybersecurity domains.