جست‌وجوی استاد و پژوهشگر

• Additive Manufacturing
• Laser Powder Bed Fusion
• Design for Additive Manufacturing
• +۳ مورد دیگر

Flaviana Calignano is an Associate Professor at Politecnico di Torino, Department of Management and Production Engineering (DIGEP), and a member of the Interdepartmental Center IAM@PoliTo for Integrated Additive Manufacturing. She serves on the University Quality Assurance Committee and is an active editor for SCIENTIFIC REPORTS since 2022. Her research focuses on additive manufacturing technologies, particularly laser powder bed fusion for metals, with expertise in design for additive manufacturing, process optimization, and reverse engineering. Her work spans industrial applications across aerospace, biomedical, and sustainable manufacturing sectors, addressing challenges in material properties, dimensional accuracy, and surface quality. Analysis of her publication record shows a strong emphasis on metal additive manufacturing, particularly with aluminum, titanium, and nickel-based alloys. Her research explores the relationships between process parameters, microstructure, and mechanical properties, with applications in biomedical implants, heat exchangers, and electronics cooling systems. She has made significant contributions to understanding surface roughness, dimensional accuracy, and the effects of heat treatments on additively manufactured components. Editor of SCIENTIFIC REPORTS (2022-) Scientific Manager of LUX-CER-3DPRINTING (2023-2026) under PNRR Member of BIG - Blue Is Green research group (2024-2026) Dr. Calignano supervises multiple PhD students working on sustainable manufacturing in PBF-LB processes and fractal geometry production. She leads several commercial research contracts with industry partners focusing on applications like 3D printed heat exchangers and precision measurement of additively manufactured components. Her research bridges academic investigation with industrial implementation, emphasizing sustainable manufacturing practices. She is actively involved in the Integrated Additive Manufacturing research group and leads projects that connect academic research with industrial applications, particularly in the qualification of additively manufactured components for automotive and manufacturing processes.

• Energy efficiency
• Life cycle assessment
• Machining
• +۷ مورد دیگر

Paolo Claudio Priarone is an Associate Professor at the Department of Management and Production Engineering (DIGEP) of the Polytechnic University of Turin. He is a member of the Interdepartmental Center IAM@PoliTo (Integrated Additive Manufacturing) and serves as Scientific Director for multiple research projects. Research Interests: Energy efficiency, life cycle assessment, machining, sustainable manufacturing, titanium aluminides Skills: Materials engineering, mechanical manufacturing, production technology, sustainable design His recent research focuses on AI-based assistive systems for manufacturing, hybrid WAAM-subtractive processes, and sustainable material recycling. He supervises PhD student Marta Ceroni and leads projects like FACILE (2024-2026) and 3aDitional (2024-2026). Scientific Fellowships CIRP Fellow (2020-) CIRP Associate Member (2013-2019) AITeM Research Affiliate (2011-) He contributes to editorial boards and teaches courses such as Sustainable Manufacturing and Additive Manufacturing at undergraduate, master’s, and PhD levels. His work aligns with SDG Goal 12 on responsible production.

• Experimental mechanics
• Multibody dynamics
• Multibody systems
• +۱۳ مورد دیگر

Nicola Bosso is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, Italy. He serves as a member of the College of Mechanical, Aerospace and Automotive Engineering and has been continuously involved in the PhD program in Mechanical Engineering for multiple cycles from 2015/2016 through 2024/2025. His academic career spans over a decade of teaching and research in mechanical engineering with a strong emphasis on railway systems and multibody dynamics. Research Focus: Professor Bosso specializes in experimental mechanics and multibody dynamics with particular expertise in railway dynamics, monitoring systems, and vehicle dynamics. His research encompasses roller rig testing methodologies, wear analysis of materials, and wheel-rail contact mechanics. His work aligns with several Sustainable Development Goals including Industry, Innovation and Infrastructure (Goal 9), Sustainable Cities and Communities (Goal 11), Responsible Consumption and Production (Goal 12), and Climate Action (Goal 13). His research integrates computational engineering with experimental validation to address complex railway engineering challenges. Publication Trends: Recent publications demonstrate a strong focus on digital twin technology for freight wagon monitoring, advanced wear simulation algorithms, and thermo-mechanical interactions in braking systems. His work increasingly combines AI techniques with traditional engineering approaches, reflecting the evolving nature of railway engineering research. The publications span conference proceedings and journal articles in high-impact railway engineering venues. Advising and Research Leadership: Professor Bosso has supervised PhD students including Matteo Magelli (35th cycle, 2019-2023), whose thesis focused on numerical and experimental tools for train braking simulations. He leads numerous research projects including AI4FREIGHT (2025-2029), a Railway Freight Wagon Monitoring System based on Digital Twins, and various consulting projects with railway industry partners. His research portfolio spans competitive national grants, regional innovation centers funding, and commercial contracts with railway technology companies. Research Infrastructure: He is affiliated with the Design and experimentation of industrial and railway systems and microsystems (DIMEAS) research group, where he contributes to the development of testing methodologies and simulation tools for railway applications. His work involves close collaboration with industry partners on practical railway engineering challenges, including derailment prevention, vehicle dynamics optimization, and innovative testing equipment development.

Negin Nazarianمشاهده پروفایل

مدرس ارشد

• Urban Climate
• Climate Modeling
• Environmental Sensing
• +۳ مورد دیگر

Dr. Negin Nazarian is a Scientia Senior Lecturer at UNSW Sydney's School of Built Environment, with affiliations at the ARC Centre of Excellence for Climate Extremes and City Futures Research Centre. She leads the Climate-Resilient Cities (CRC) research lab, focusing on urban climate interactions through climate modeling, environmental sensing, and IoT technologies. Her work addresses urban heat exposure, ventilation, and multiscale urban canopy parameterizations.

Rodrigo I. Silveiraمشاهده پروفایل

دانشیار

• Computational Geometry
• Combinatorial Geometry
• Geographic Information Science (GIS)
• +۷ مورد دیگر

Rodrigo I. Silveira is an Associate Professor in the Department of Mathematics at Universitat Politècnica de Catalunya (UPC), where he conducts research in computational and combinatorial geometry. He is a member of the UPC research group on Discrete, Combinatorial and Computational Geometry and has a strong academic background, having earned his PhD at Utrecht University under Marc van Kreveld and completed prior studies at the Universidad de Buenos Aires. His research focuses on Computational Geometry , particularly problems arising from Geographic Information Science (GIS) , such as map construction, trajectory analysis, and visibility. He also works on Graph Drawing and algorithms for geometric structures. His work combines theoretical algorithm design with practical applications in spatial data. His recent publications reflect a consistent trend in geometric algorithms, including shortest paths in complex environments (e.g., portalgons), Voronoi diagrams with color constraints, robot motion coordination, and map inference from GPS data. These works appear in top-tier journals and conferences such as Algorithmica , Computational Geometry: Theory and Applications , SoCG, WADS, and LATIN. He has received scientific recognition, including a Best Paper Award at AGILE 2009 and another at SpatialGems 2021. He has supervised several PhD students to completion, including Guilermo Esteban (2024) and Pilar Cano (2020), and continues to advise current students. Rodrigo has been deeply involved in the academic community, organizing major events such as the European Workshop on Computational Geometry (EuroCG 2023), Graph Drawing 2018, and the Intensive Research Program on Discrete Geometry (2018). He has served on the program committees of SoCG, WADS, LATIN, and CCCG, and has chaired tracks for EGC and CG:YRF. His work is supported by collaborations with leading researchers such as Kevin Buchin, Maarten Löffler, Prosenjit Bose, and Vera Sacristán, and he contributes to both theoretical advances and practical implementations in geometric computing.

Stavros Sintosمشاهده پروفایل

استادیار

• Databases
• Data Mining
• Computational Geometry
• +۳ مورد دیگر

Stavros Sintos is an Assistant Professor in the Department of Computer Science at the University of Illinois Chicago. He previously held a postdoctoral position at the University of Chicago and earned his Ph.D. and B.S. in Computer Science from Duke University and the University of Ioannina, respectively. Education: Ph.D. in Computer Science (Duke University, 2020), B.S. in Computer Science (University of Ioannina, Greece). His research focuses on designing efficient algorithms for databases, data mining, and computational geometry. Specific interests include geometric indexes with theoretical guarantees, approximate query processing, top-k queries, summarization queries, and join queries. He explores intersections with algorithmic fairness and temporal data analysis. Recent publications highlight innovations in clustering algorithms , temporal join queries , GPU-accelerated visualization , and fairness-aware systems . Key venues include SIGMOD, VLDB, PODS, and ICML-affiliated conferences. Scientific Awards: James B. Duke Fellowship; nominee for Outstanding Ph.D. Dissertation Award (2019-2020). He mentors talented students like Ph.D. candidate Aryan Esmailpour and collaborates with teams at UIC and Duke University. His work bridges theoretical guarantees with practical implementations for real-world data challenges.

• Probability Theory
• Random Planar Maps
• Scaling Limits
• +۷ مورد دیگر

Nicolas Curien is a Professor in the Probability and Statistics Team at Université Paris-Saclay, where he leads the M2 "Mathematics of Randomness" program and heads the ERC-funded project "SuPerGRandMa". His office is located in Building 307, Orsay. Curien has been a faculty member since 2014, following positions as a CNRS researcher at LPMA (Paris) and teaching assistant at ENS Paris. He completed his PhD under Jean-François Le Gall in 2011. Curien's research spans probability theory , random geometry , and statistical physics , with focus areas including: Scaling limits of random planar maps and hyperbolic geometries Percolation theory on random lattices Growth-fragmentation processes and branching structures Metric properties of stochastic trees and surfaces His work frequently combines combinatorial probability with continuous stochastic processes to analyze phase transitions and universal behavior. Analysis of Curien's recent publications reveals consistent themes: rigorous treatment of scaling limits in random geometries (especially maps and trees), critical phenomena in percolation models, and probabilistic aspects of hyperbolic surfaces. Approximately 80% of his 2021-2024 papers involve phase transitions or universality classes , with methods drawing from Lévy processes, peeling explorations, and multi-scale analysis. Significant awards recognizing his contributions include: ERC Consolidator Grant (SuPerGRandMa, 2023) Prix Marc Yor (2022) Prix Jacques Herbrand (2019) Rollo Davidson Prize (2015) He was elected Junior Member of the Institut Universitaire de France in 2016. Curien maintains an extensive research group, having supervised over 20 PhD students and postdoctoral researchers since 2013. Notable former students include Thomas Budzinski (CNRS researcher), Alice Contat (CNRS researcher), and Cyril Marzouk (Assistant Professor at École Polytechnique). His ERC project currently supports 4 early-career researchers. He collaborates internationally with labs including LPMA (Paris), University of Vienna, and EPFL. Curien also participates in the gastronomic societies "Tasteurs de Fourmes du Cantal" and "Gousteurs de Kirsch de Fougerolles".

• Mechanical Design
• Industrial Engineering
• Railway Engineering
• +۷ مورد دیگر

Nicolo' Zampieri is an Associate Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) of Politecnico di Torino, specializing in railway dynamics, digital twins, and mechanical design. His research focuses on computational modeling of wheel-rail interactions, multibody systems, and sustainable transportation technologies. Academic Affiliation: Politecnico di Torino (Polytechnic University of Turin) Research Groups: Design and experimentation of industrial and railway systems (DIMEAS) Research Interests Zampieri's work bridges artificial intelligence and multibody dynamics to advance railway engineering. Key areas include: Digital Twins for freight train braking systems Machine Learning applications in longitudinal train dynamics Thermal Modeling of tread braked wheels Experimental Prototyping of twin-disc wear testing devices Article Trends His recent publications emphasize AI-driven railway simulations , multibody dynamics , and computational wear modeling . Notable projects include digital twin applications for emergency braking analysis and innovative twin-disc testing methodologies for wheel-rail interactions. Advising Zampieri supervises Rosario Pagano , a PhD student in Mechanical Engineering focusing on railway wear simulations. Teaching Roles Course Lecturer for Multibody Systems Applications (PhD in Mechanical Engineering, 2024-2025) Course Owner for Materials and Production Process Simulation (Master's in Materials Engineering for Industry 4.0) Collaborator for Costruzione di Macchine (Master's in Mechanical Engineering)

Eric Sonnendrückerمشاهده پروفایل

استاد

• Numerical Analysis
• Scientific Computing
• Partial Differential Equations
• +۶ مورد دیگر

Eric Sonnendrücker is a full Professor at the Department of Mathematics , Technische Universität München (TUM) , affiliated with the School of Computation, Information and Technology . His research focuses on Numerical Analysis and Scientific Computing for partial differential equations, particularly in plasma physics and gyrokinetic simulations . He leads the research group on Numerische Methoden der Plasmaphysik and contributes to the Numerics of Partial Differential Equations group. His methodological work emphasizes structure-preserving discretization , geometric particle-in-cell (PIC) methods , and adaptive numerical schemes for high-dimensional systems. Collaborations span institutions like ETH Zürich , University of Oslo , and KIT , with applications in tokamak geometry and strong magnetic field modeling . Recent publications highlight advancements in energy-conserving time propagation , curvilinear coordinate PIC simulations , and gyrokinetic cross-code verification . His work bridges mathematical rigor with practical high-performance computing for fusion energy research.

Quan Longمشاهده پروفایل

مدرس ارشد

• Fluid Mechanics
• Biomedical Engineering
• Computational Fluid Dynamics
• +۳ مورد دیگر

Dr. Quan Long is a Senior Lecturer in Fluid Mechanics at Brunel University's College of Engineering, Design and Physical Sciences. His work bridges biomedical engineering and computational fluid dynamics (CFD), focusing on arterial hemodynamics, plaque mechanics, and tumor microvasculature modeling. Research Themes : Wall shear stress analysis, stress distribution in carotid plaques, angiogenesis modeling, and MRI-based CFD simulations Technical Expertise : Lattice Boltzmann methods, fluid-structure interaction, patient-specific geometric modeling, and interstitial fluid pressure analysis While his publications (2001-2011) primarily focus on carotid artery disease and tumor perfusion, recent works emphasize vascular normalization windows and anti-angiogenic therapy effects. His collaborations include researchers from Imperial College London, Edinburgh University, and City University. Key methodologies involve MRI data integration, computational modeling of physiological flows, and stress-induced plaque rupture analysis. Key Publications demonstrate trends in: Arterial Wall Stress (2007-2011) Tumor Microvasculature Modeling (2008-2011) Comparative MRI/CFD Techniques (2003-2009) Endothelial Surface Layer Analysis (2006-2007)

Abdulnaser Saymaمشاهده پروفایل

استاد

• Turbomachinery Aerodynamics
• Gas Turbines
• Supercritical Carbon Dioxide Cycles
• +۴ مورد دیگر

Professor Abdulnaser Sayma is the Executive Dean of the College of Engineering, Design and Physical Sciences at Brunel University London since June 2024. He holds a PhD in Computational Fluid Dynamics from the University of Manchester Institute of Science and Technology (UMIST), an MSc in Energy Technology for Developing Countries from the University of Salford, and a BSc in Mechanical Engineering from Birzeit University, Palestine. Leadership roles: Executive Dean (Brunel), Head of Department (City University of London), Interim Dean (City University of London), Director of Research (University of Sussex) Research interests: Turbomachinery aerodynamics, gas turbines, supercritical CO₂ cycles, high-temperature heat pumps, thermal energy storage Membership: Fellow of the Institution of Mechanical Engineers (FIMechE), Fellow of the Royal Aeronautical Society (FRAeS), Member of the Energy Institute His research focuses on innovative turbomachinery designs and thermal power cycles for waste heat recovery across varying temperature ranges, including organic Rankine cycles, supercritical CO₂ cycles, and Brayton cycles. He has contributed extensively to supercritical CO₂ power cycles, turbine design optimization, and thermal storage technologies. Recent publications emphasize aerothermal interactions in radial turbines, sCO₂ cycle efficiency, high-temperature heat pump compressors, and cascaded ORC systems. His work aligns with renewable energy integration and carbon reduction goals. Professor Sayma is affiliated with ETN Global (Energy and Turbomachinery Network) and actively supervises PhD research in turbomachinery design and thermal power cycles.

• Terahertz Optoelectronics
• Nonlinear Optics
• Photonics
• +۵ مورد دیگر

Emilie Herault-Croma serves as a Lecturer at the University of Savoie Mont Blanc, where she holds the position of Director of Studies for the Maths, Computer Science and Engineering Sciences (MISPI) Portal for first-year degree students. She is actively affiliated with the CROMA Laboratory's PHOTO team and contributes to the Electronics of Embedded Systems and Telecommunications (ESET) and Telecommunications Networks and IT (TRI) sectors at both Bachelor's and Master's levels. Her research expertise centers on Terahertz optoelectronics, with specific focus on materials and devices characterization using THz-TDS (Terahertz Time-Domain Spectroscopy), investigation of THz emission efficiency through optical rectification in nonlinear crystals pumped near their bandgap, emission spectroscopy in nonlinear crystals, and Optical Rectification THz Imaging (ORTI). Her experimental work often involves semiconductor materials like GaAs and nonlinear crystals such as GaSe and ZnTe. Analysis of her publication record reveals a consistent research trajectory in terahertz technology spanning nearly two decades, with recent work emphasizing practical applications in industrial imaging, material identification, and improved THz generation techniques. Her publications demonstrate extensive collaboration with researchers including Jean-Louis Coutaz and Frédéric Garet, with whom she has co-authored numerous papers on THz generation and characterization methods. Within the university governance structure, Dr. Herault-Croma serves as an elected member of CNU63 (substitute), the CA Université Savoie Mont Blanc, and the CROMA laboratory council, while also contributing to the Labex FOCUS 3 Office. Her teaching responsibilities include analog and digital electronics, microcontrollers, FPGA & VHDL, and reprogrammable microprocessors, reflecting her strong engineering background.

• Battery Technology
• Fuel Cell Systems
• Electric Mobility
• +۳ مورد دیگر

Associate Professor Heiner Heimes serves as Chair of Production Engineering of E-Mobility Components at RWTH Aachen University . His work focuses on advanced manufacturing technologies for electric mobility, including battery systems, fuel cells, and sustainable production processes. Member of the Institute Management Contact: h.heimes@pem.rwth-aachen.de Research interests span battery technology , fuel cell systems , production engineering , and electric mobility solutions . His recent publications emphasize techno-economic models, defect detection, and process optimization in EV battery manufacturing. Key article trends include solid-state batteries , laser-based drying , automated disassembly , and AI-driven production , reflecting his contributions to scalable, sustainable e-mobility infrastructure. Scientific awards: As a collaborator in numerous studies, Heimes contributes to advancing dynamic capability models for electric mobility and optimizing hairpin stator production . His work addresses challenges in battery recycling, thermal management, and Industry 4.0 implementation.

Christoph von Tycowiczمشاهده پروفایل

پژوهشگر

• Geometric Data Analysis
• Shape Analysis
• Manifold-valued Data Processing
• +۶ مورد دیگر

Dr. Christoph von Tycowicz serves as Head of the Research Group "Geometric Data Analysis and Processing" at the Zuse Institute Berlin (ZIB), within the "Visual and data-centric computing" department of the "Mathematics of Complex Systems" division. His research bridges advanced mathematical theory with practical applications in medical imaging, biomechanics, and cultural heritage analysis. He leads multiple interdisciplinary projects connecting mathematics, computer science, and biomedical engineering, with funding from major research initiatives. Dr. von Tycowicz earned his doctoral degree from Freie Universität Berlin in 2014 with a dissertation titled "Concepts and Algorithms for the Deformation, Analysis, and Compression of Digital Shapes" under the supervision of Konrad Polthier. His educational background established the foundation for his current work in geometric data analysis and computational shape modeling. His primary research interests center on Geometric Data Analysis , Shape Analysis , and Manifold-valued Data Processing . He develops mathematical frameworks for analyzing complex shapes in medical imaging, biomechanics, and cultural heritage applications. His work bridges differential geometry with machine learning to create robust methods for shape comparison, classification, and prediction. Dr. von Tycowicz has made significant contributions to Riemannian statistical shape modeling and geometric deep learning, with applications spanning knee osteoarthritis assessment, Alzheimer's disease progression analysis, and archaeological artifact analysis. Analysis of his publication trajectory reveals a sophisticated evolution from foundational geometric methods toward integrated approaches combining differential geometry with deep learning. His recent work increasingly focuses on manifold-valued graph neural networks, shape-based disease grading systems, and longitudinal analysis of anatomical changes. There's a clear trend toward clinical translation, with growing emphasis on applying these methods to specific medical problems like osteoarthritis assessment using data from the Osteoarthritis Initiative and Alzheimer's disease progression modeling. Dr. von Tycowicz has received significant recognition for his contributions: Best Paper Honorable Mention Award @ Eurographics (2016) Best Paper Award (2020) Student Travel Award (2020) Special Mention @ ICLR Computational Geometry & Topology Challenge (2022) As a mentor, Dr. von Tycowicz has supervised doctoral and master's students including Felix Ambellan (doctoral thesis on Efficient Riemannian Statistical Shape Analysis with Applications in Disease Assessment) and Martha Paskin (master's thesis on Estimating 3D Shape of the Head Skeleton of Basking Sharks). He currently leads multiple substantial research projects including WEAR (mathematical solutions for analyzing ancient tools), Model-Regularized Learning of Complex Dynamical Behavior, and Geometric Learning for Single-Cell RNA Velocity Modeling, demonstrating strong grant acquisition capabilities across interdisciplinary domains. The Geometric Data Analysis and Processing research group, which Dr. von Tycowicz heads, develops the open-source Morphomatics library (v4.0) for statistical shape analysis. This Python library implements intrinsic manifold-based methods that maintain geometric consistency while avoiding bias from arbitrary coordinate choices. The group participates in major research networks including MATH+ and BIFOLD, and collaborates extensively with medical researchers at Charité - Universitätsmedizin Berlin and other institutions. Their work spans medical imaging (particularly knee osteoarthritis analysis), biomechanics, archaeology, and machine learning, with a unifying focus on creating geometrically principled methods for analyzing complex shape data.

Seog Ohمشاهده پروفایل

استاد

• High-Energy Physics
• Particle Physics
• Quantum Chromodynamics (QCD)
• +۷ مورد دیگر

Professor Seog Oh of Duke University's Department of Physics conducts groundbreaking research in high-energy particle physics through the ALICE and STAR experiments at the LHC and RHIC. His work focuses on quark-gluon plasma characterization via jet substructure analysis, charm and strange hadron production mechanisms, and fundamental studies of hypernuclei and antihypernuclei. Ph.D., Massachusetts Institute of Technology (1981) Principal Investigator, Mu2e Tracker Panel Processing (Fermilab, 2018-2023) Co-Investigator, DOE-funded High Energy Physics Research (2013-2025) His experimental investigations span: Jet quenching and medium modification in Pb-Pb collisions Charm quark hadronization in pp and p–Pb systems Electromagnetic dissociation and photoproduction in heavy-ion collisions Femtoscopic measurements of hadron emission sources Antinucleus production and coalescence dynamics Recent publications (2024-2025) reveal novel insights into: Medium-induced jet modifications via angularity measurements Quark-gluon plasma diagnostics using strange meson production Hyperon polarization studies in isobar collisions Transverse momentum fluctuations and flow decorrelations Chiral magnetic effect constraints from isobar collision data