جست‌وجوی استاد و پژوهشگر

Alessandro Scagliottiمشاهده پروفایل

پژوهشگر

• Optimal Control
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Alessandro Scagliotti is a Researcher at the Department of Mathematics, Technical University of Munich (TUM), affiliated with the School of Computation, Information and Technology. His research focuses on Optimal Control with applications to Machine Learning, particularly exploring dynamical models for Residual Neural Networks and large-scale training dataset analysis, alongside accelerated convex optimization methods. His academic contributions span theoretical advancements in control systems applied to neural networks, quantum state transfers, and biomedical applications like drug resistance management in cancer therapies. His work bridges mathematical rigor with practical machine learning challenges, emphasizing robustness and scalability. Recent publications highlight innovative approaches in neural ODEs, minimax optimization, and ensemble control systems, reflecting a strong interdisciplinary orientation. Collaborations are evident through topics like quantum dynamics and biomedical modeling. Email: scag@ma.tum.de | Office: 02.08.033 | Phone: +49 (89) 289-17467

Stefanos Aldo Papanicolopulosمشاهده پروفایل

مدرس ارشد

• Computational Mechanics
• Micromechanics of Materials
• Mechanics of Generalized Continua
• +۴ مورد دیگر

Dr. Stefanos Aldo Papanicolopulos is a Senior Lecturer in the School of Engineering at the University of Edinburgh, specializing in Civil and Environmental Engineering . His research focuses on computational mechanics, micromechanics of materials, and mechanics of generalized continua, with applications to granular materials and strain-gradient elasticity. Education: MEng in Civil Engineering (2002), National Technical University of Athens MSc in Structural Engineering (2004), National Technical University of Athens PhD in Mechanics (2008), National Technical University of Athens Research Interests: Mechanics of generalized continua, including Cosserat and micropolar theories Micromechanical modeling of granular materials using DEM and FEM Strain-gradient elasticity and computational methods Development of efficient finite element and cubature rules Experimental and numerical studies of particle breakage and flow Scientific Awards: Fellow of the Higher Education Academy Grant Collaborations: Active EU-funded projects like TUSAIL (Training In Upscaling Particle Systems) and grants from the Carnegie Trust for Scottish Universities. Key collaborations include the VELaSSCo platform for DEM data visualization.

Luis Herreraمشاهده پروفایل

مدرس

• Molecular Simulation
• Gas-Solid Interactions
• Porous Materials
• +۳ مورد دیگر

Dr. Luis Herrera is a Lecturer in Computational Engineering at Charles Darwin University's Faculty of Science and Technology. His research focuses on molecular simulation techniques, gas-solid interactions, and the characterization of porous materials for applications like carbon capture and environmental engineering. He holds a PhD from the University of Queensland (2011), a Master's from Universidad Nacional de Colombia (2010), and a Bachelor's from Fundación Universidad de América (1995). His research interests include developing Monte Carlo methods for simulating porous materials, studying adsorption mechanisms under supercritical conditions, and advancing carbon capture technologies. Current projects include investigating carbon capture pathways in the Northern Territory and analyzing asphalt performance in NT roads. Dr. Herrera has contributed to over 30 peer-reviewed articles, with notable work on CO₂ adsorption in zeolitic frameworks and fluorine-free foam rheology. His work aligns with UN Sustainable Development Goals related to affordable and clean energy and climate action. He supervises Higher Degree by Research (HDR) students and collaborates on projects funded by initiatives like the IAS Rainmaker. His expertise spans computational modeling, material characterization, and interdisciplinary environmental engineering.

Fatema Zerin Farhanaمشاهده پروفایل

پژوهشگر ارشد

• Nanotechnology
• Biomedical Engineering
• Biosensors
• +۴ مورد دیگر

Fatema Zerin Farhana is a Postdoctoral Research Fellow at the Rural Health Research Institute of Charles Sturt University in Australia. She earned her PhD and MPhil in functional nanomaterials from Bangladesh University of Engineering and Technology (BUET). Educational Background PhD in Functional Nanomaterials (BUET) MPhil in Functional Nanomaterials (BUET) Her research focuses on developing nanoparticle-based diagnostic platforms for biomedical applications, particularly in electrochemical biosensing , DNA methylation analysis , and exosome detection . She has pioneered methods using functionalized nanoparticles for disease biomarker identification and global DNA methylation studies. Key research outputs include: Advancements in circulating nucleic acid detection (2025) Magnetically retrievable catalysts (2024) Epigenetic detection methods (2021) Exosome isolation technologies (2021) Nanozyme-based biosensors (2020) Scientific Awards Bangabandhu Science and Technology Fellowship (Bangladesh Government) Her work contributes to UN Sustainable Development Goals, particularly in health and environmental technologies. She actively collaborates with multidisciplinary teams in nanomedicine research.

Lindsay Sohمشاهده پروفایل

دانشیار

• Sustainability
• Green Solvents
• Biomass Processing
• +۳ مورد دیگر

Lindsay Soh is an Associate Professor of Chemical and Biomolecular Engineering and Department Head at Lafayette College. Her research focuses on sustainability, green solvents, biomass processing, and bio-based materials. She holds a Ph.D. from Yale University and a B.S. from UC Berkeley. Her research emphasizes reducing environmental impact through solvent optimization, recyclable solvents, and novel bio-based materials. She explores applications in biofuel production, birch bark valorization, and CO₂-mediated processes. Her work bridges academic research with undergraduate mentorship, emphasizing hands-on student involvement in engineering solutions for sustainability challenges. Dr. Soh’s teaching philosophy prioritizes foundational chemical engineering education and student engagement, reflecting her commitment to mentoring. She has collaborated on NSF-funded projects advancing green chemistry and biorefinery technologies. Her lab investigates solvent systems, biopolymer synthesis, and CO₂ process intensification for biodiesel production. She leads Lafayette’s Chemical and Biomolecular Engineering department, fostering innovation and sustainability in curricula and research. Her outreach includes K-12 education initiatives on energy sustainability through partnerships like the Nurture Nature Center. Key research themes include solvent lifecycle analysis, bio-based thermoset development, and scalable biomass conversion methods. Her work aims to balance industrial feasibility with environmental stewardship in chemical engineering processes.

• Geometry
• Topology
• Differential Geometry
• +۳ مورد دیگر

Jesús Antonio Álvarez López is a University Professor at the University of Santiago de Compostela, specializing in Geometry and Topology. He teaches advanced courses such as Cohomology of Varieties, History of Mathematics, and Topology of Surfaces across undergraduate and graduate programs. His research focuses on geometric and topological structures, including foliated dynamical systems, Morse theory, and zeta functions, with interdisciplinary contributions to materials science and medical studies. He actively publishes in high-impact journals and collaborates on projects in sustainable materials and clinical outcomes research. Teaching Responsibilities : Cohomology of Varieties (Master’s, Doctoral Program) History of Mathematics (Bachelor’s, Double Degrees) Topology of Surfaces (Bachelor’s, Double Degrees) Mathematics for Biotechnology (Undergraduate) Research Highlights : His work bridges pure and applied mathematics, addressing topics like fixed point indices, foliation geometry, and zeta invariants. Recent studies explore sustainable antimony recovery methods and biological relapse mechanisms in myeloma. He also contributes to reconstructive surgery techniques and wheat biome interactions for sustainable agriculture. Awards & Grants : No explicit awards listed, but ongoing projects suggest active grant-funded research. Labs/Teams : Collaborates with the Research Group in Mathematics at USC, focusing on geometric analysis and interdisciplinary applications.

• Geometric Deep Learning
• Compositional Learning
• Optimal Transport
• +۴ مورد دیگر

Mircea Petrache is an Assistant Professor at the Department of Mathematics, Pontifical Catholic University of Chile. His research focuses on geometric deep learning, compositional learning, optimal transport, calculus of variations, and geometric measure theory, with applications to large point configurations and mathematical analysis. He holds a PhD in Mathematics from ETH Zürich (2013) and an MSc from Scuola Normale Superiore (2008). Education: PhD in Mathematics, ETH Zürich, 2013 MSc in Mathematics, Scuola Normale Superiore, 2008 Research Interests: Petrache explores the interplay between geometric principles and machine learning, particularly in equivariant networks and compositional systems. His work on optimal transport and calculus of variations addresses energy minimization and crystallization problems in materials science. Recent projects include symmetry-based structured matrices and topological pseudodistances for data analysis. Grants: Fondecyt Regular Grant (2021–2025) on rigidity and uniformity in large point configurations. Events & Organization: Co-organized workshops such as 'Theoretical and Mathematical Aspects of Deep Learning' (2022) and 'Calculus of Variations: A New Generation' (2024). Active in conferences including NeurIPS, ICIAM, and AIM workshops on discrete geometry.

Jack Thomasمشاهده پروفایل

پژوهشگر

• Electronic Structure Analysis
• Materials Science
• Quantum Chemistry
• +۳ مورد دیگر

Jack Thomas is a postdoctoral researcher at the Laboratoire de Mathématiques d'Orsay, Université Paris-Saclay, under the supervision of Antoine Levitt. He holds a PhD in Mathematics and Statistics from the University of Warwick (2018–2021), supervised by Christoph Ortner, for which he received the Faculty Thesis Prize 2022 (joint winner). His research focuses on the mathematical analysis of electronic structure models in materials science and quantum chemistry, with a particular emphasis on tight binding models and their applications in predicting material properties. Education: PhD in Mathematics and Statistics, University of Warwick (2018–2021) MSc in Mathematics and Statistics, University of Warwick (2017–2018) MMath in Mathematics, University of Warwick (2013–2017) Research Interests: Jack’s work bridges mathematical rigor and computational methods, addressing challenges in electronic structure analysis, including locality properties of interatomic interactions, body-ordered approximations, polynomial approximation of symmetric functions, and nearsightedness in materials. His contributions advance the theoretical foundations for multi-scale models and machine learning interatomic potentials. Awards & Contributions: Recipient of the Faculty Thesis Prize 2022 (Warwick) Organized the SPAAM student seminar series (2019/20) Active member of SIAM and IMA Teaching: Jack has extensive supervision experience at the University of Warwick, covering modules such as Mathematical Analysis, Linear Algebra, and Multivariable Calculus. He has also contributed to marking and course design for first-year mathematics students. Labs & Collaborations: He is affiliated with the Laboratoire de Mathématiques d'Orsay and collaborates with researchers such as Christoph Ortner (Warwick), Huajie Chen (Beijing Normal University), and Gábor Csányi (University of Cambridge).

Paul Molyneux-Berryمشاهده پروفایل

پژوهشگر ارشد

• Railway Vehicle Dynamics
• Wheel-Rail Interface
• Rolling Contact Fatigue
• +۴ مورد دیگر

Paul Molyneux-Berry serves as a Principle Industrial Fellow at the University of Huddersfield's Institute of Railway Research within the Department of Engineering, School of Computing and Engineering. With a first-class Masters degree in Mechanical Engineering from Cambridge University (1999), he brings over 13 years of rail industry experience to his academic role, having worked for vehicle manufacturers and technical consultancies before joining academia in 2009. His research focuses primarily on railway vehicle dynamics and the wheel-rail interface, with special expertise in wheel and rail damage mechanisms including Rolling Contact Fatigue, wear, and plastic flow. His work spans both theoretical and practical aspects of railway engineering, drawing from his broad background in manufacturing, commissioning, operations, and maintenance. Molyneux-Berry is actively involved in national and international railway standards development, safety approvals, and risk assessment, having previously served as a VAB/NOBO signatory for vehicle acceptance. His publication record shows consistent research output from 2011-2018, with recent work concentrating on wheel-rail contact mechanics, residual stress analysis, and predictive modeling of wear and damage mechanisms. His research demonstrates strong industry relevance, with projects conducted for London Underground, GB main line railways, and HS2. As a Chartered Engineer and member of the Institution of Mechanical Engineers, Molyneux-Berry maintains strong industry connections while contributing to academic knowledge in railway engineering. His work supports railway safety and efficiency through advanced materials analysis and predictive modeling approaches.

• 3D Computer Animation
• Virtual Human Modelling
• Physics-Based Animation
• +۳ مورد دیگر

Professor Jian Jun Zhang is a leading academic in 3D Computer Animation at the National Centre for Computer Animation (NCCA) , Bournemouth University. He has held academic positions at institutions including University of Bristol , University of Newcastle upon Tyne , Chongqing University , Queen's University Belfast , and Brunel University . Research focus: Physics-based animation , Virtual human modelling , Medical visualisation , and Conversational AI Funding: £10 million+ grants from EPSRC , AHRC , EU FP7 , and EU Horizon 2020 Co-founder: Centre for Digital Entertainment (CDE) with Professor Phil Willis Recent publications emphasize 3D reconstruction , SPH simulation , and Transformer-based architectures for graphics and medical data. He received the CGI Outstanding Career Award (2021) . His work bridges computational mathematics and real-time visual systems , impacting virtual reality , train collision dynamics , and character animation through partial differential equation (PDE) modelling and machine learning integration.

Ronald Haynesمشاهده پروفایل

استاد

• Numerical Analysis
• Scientific Computing
• Partial Differential Equations
• +۴ مورد دیگر

Ronald Haynes is a Full Professor and Chair of the Scientific Computing Graduate Programs at the Department of Mathematics and Statistics, Memorial University of Newfoundland. He holds a PhD from Simon Fraser University (2003) and has held academic roles at Acadia University and Memorial University. His research focuses on numerical methods for partial differential equations, domain decomposition, parallel computing, and optimization, with applications in industrial mathematics. Education: B.Sc. (Hons) in Applied Mathematics (Memorial University, 1996), M.Sc. (Simon Fraser University, 1998), PhD (Simon Fraser University, 2003). Research interests include numerical analysis, scientific computing, and computational methods for PDEs. He has led initiatives such as the 25th International Domain Decomposition Conference and contributed to software libraries like RIDC-DD and DD-CPM. Dr. Haynes is an active editor for CAIMS journals and a leader in the Canadian Applied and Industrial Mathematics Society. Awards include the President's Award for Outstanding Research (2018) and the Dean of Science Distinguished Teaching Award (2017). He advises graduate students in numerical methods and optimization, and collaborates with industry on projects like drilling strength prediction and reservoir simulation. His work also emphasizes inclusive teaching practices and STEM education.

Eugene Gartlandمشاهده پروفایل

استاد

• Liquid crystal modeling
• Mathematical physics
• Numerical analysis
• +۳ مورد دیگر

Eugene Gartland is a Professor in the Department of Mathematical Sciences at Kent State University, affiliated with the Advanced Materials and Liquid Crystal Institute. His research specializes in mathematical modeling of liquid crystals, focusing on electro-optical properties, stability analysis, and computational methods. Research integrates continuum mechanics, numerical analysis, and statistical physics to investigate phenomena like Fréedericksz transitions, director field instabilities, and phase behavior. Theoretical frameworks include Landau-de Gennes theory and variational methods, with applications to display technologies and soft matter systems. Publications demonstrate consistent methodological innovation in liquid crystal modeling, emphasizing numerical algorithms, bifurcation analysis, and experimental validation. Recent work explores electric-field interactions, circuit-coupled systems, and ferrofluid responses.

Nicholas Manickeمشاهده پروفایل

استاد

• Mass Spectrometry
• Analytical Chemistry
• Forensic Science
• +۵ مورد دیگر

Nicholas Manicke, Ph.D., is a Professor at Indiana University Indianapolis’ School of Science, affiliated with the Chemistry & Chemical Biology and Forensic & Investigative Sciences departments. As Associate Director of the Forensic & Investigative Sciences Program, he pioneers ambient ionization mass spectrometry methods like Paper Spray and DESI for rapid analysis of biofluids, drugs, and chemical warfare agents without traditional sample preparation. His work bridges biomedical research, forensic science, and homeland security, focusing on translating lab innovations into field-deployable solutions.

Лидија З. Ранчићمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Mathematics
• Root-Finding Algorithms
• +۵ مورد دیگر

Lidija Z. Rančić serves as a full Professor in the Department of Mathematics at the Faculty of Electronic Engineering, University of Nis, Serbia. She has held progressively senior academic positions at this institution since 2006, culminating in her promotion to full Professor in 2016 within the Mathematics discipline. Her academic credentials include: Bachelor of Science in Mathematics (1988, Faculty of Philosophy, University of Nis) Master of Science in Mathematics (1995, Faculty of Philosophy, University of Nis) PhD in Mathematics (2005, Faculty of Natural Sciences and Mathematics, University of Nis) Rančić's research centers on advanced numerical methods for solving nonlinear equations, with particular expertise in root-finding algorithms and polynomial zero approximation. Her work emphasizes convergence properties, algorithmic efficiency, and the development of simultaneous and derivative-free methods. She investigates both theoretical foundations and practical implementations of iterative processes, contributing significantly to computational mathematics through rigorous analysis of convergence behavior and error estimation in complex systems. Her methodologies have applications across scientific computing and engineering disciplines requiring high-precision numerical solutions. Her publication record demonstrates consistent contributions to top-tier computational mathematics journals, with 16 papers in Impact Factor journals. The research trajectory shows increasing sophistication in handling nonlinear systems, evolving from basic root-finding methods toward advanced simultaneous approximation techniques with accelerated convergence properties for analytic functions and polynomials. Professor Rančić currently leads research activities within the Ministry of Science and Technological Development project "Construction and analysis of efficient algorithms for solving nonlinear equations" (2011-present), which focuses on developing novel algorithms with proven convergence guarantees for challenging nonlinear problems. While specific grant amounts aren't disclosed, this sustained government-funded research indicates significant national recognition of her expertise in computational mathematics. As a core faculty member in the Department of Mathematics, she contributes to both foundational mathematics education for engineering students and specialized advanced coursework in numerical analysis, though specific teaching assignments aren't detailed in available materials.

• algebraic geometry
• fake projective planes
• toric varieties
• +۲ مورد دیگر

Lev Borisov is a Distinguished Professor of Mathematics at Rutgers University, specializing in algebraic geometry. His research centers on explicit constructions in algebraic geometry, particularly on fake projective planes, toric varieties, and mirror symmetry. He teaches regularly, including Math 251 in Spring 2025, and maintains an active research program with numerous recent publications. Research interests include: Algebraic geometry, with emphasis on explicit equations and moduli Fake projective planes and complex ball quotients Toric and Deligne–Mumford stacks Mirror symmetry and derived categories Hypergeometric systems and GKZ duality Recent publications (2023–2025) focus on explicit equations of fake projective planes , non-existence of phantoms on blowups , and asymptotics of line bundles on toric stacks , reflecting a deep engagement with computational and constructive methods in algebraic geometry. No listed scientific awards or funded grants appear in the provided materials; similarly, no PhD or Masters students are named.