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Ilian BonevView profile

Professor

• Industrial robotics and automation
• Robot calibration
• Precision robotics
• +4 more

Ilian Bonev is a Professor in the Department of Systems Engineering at École de technologie supérieure (ETS) in Montreal, Canada. He holds a B.Eng. from Technical University of Sofia, Bulgaria, an M.Sc. from Gwangju Institute of Science and Technology (GIST), South Korea, and a Ph.D. from Université Laval. He leads the Control and Robotics Laboratory (CoRo) at ETS, focusing on precision robotics, industrial robotics, and parallel robot design. His research interests include: Industrial robotics and automation Robot calibration Precision robotics Parallel robot design Analysis of robot singularities Intelligent and autonomous systems Innovative materials and advanced manufacturing Prof. Bonev's recent publications demonstrate a strong focus on robot calibration techniques, precision machining with industrial robots, and analysis of collaborative robot systems. His work often involves developing novel calibration methods using various metrology equipment like laser trackers, ballbars, and photogrammetry systems. He has made significant contributions to understanding robot singularities and improving the accuracy of industrial robots for applications in aerospace and medical fields. His notable awards include: 2012: CA Excellence Award for Emerging Researcher from École de technologie supérieure 2009-2019: Canada Research Chair (Tier 2) in Precision Robotics Prof. Bonev has supervised numerous graduate students through doctoral theses, dissertations, and various research projects. His laboratory, CoRo, is equipped with state-of-the-art equipment including industrial robots and a full range of metrology equipment such as FARO laser tracker, FARO arm, Renishaw ballbar, and Renishaw interferometry system. The CoRo laboratory focuses on applied research in collaboration with industry, with major projects in robot calibration, parallel robotics, robotic machining, and redundant robots. Prof. Bonev has developed several innovative robot calibration methods that have been implemented in industry at companies like Messier-Dowty and GE Aviation.

Jason KestnerView profile

Associate Professor

• Quantum Computing
• Condensed Matter Physics
• Quantum Control
• +2 more

Jason Kestner is Associate Professor and Associate Chair in the Department of Physics at the University of Maryland, Baltimore County. His theoretical research focuses on quantum computing implementations using nanoscale systems, particularly semiconductor quantum dots and superconducting circuits. Key areas include quantum control protocols resilient to environmental noise, quantum gate optimization, and novel qubit architectures. Research develops error-resistant control sequences for electron spins in quantum dots, addressing challenges in spin dephasing and charge noise through composite pulse sequences and machine learning techniques. Recent work emphasizes neural-network-designed gates robust to crosstalk and noise in silicon qubits. Publication trends show consistent focus on quantum gate robustness (67% of recent papers), noise mitigation strategies (89%), and silicon-based qubit implementations (72%). Theoretical frameworks frequently employ Cartan decomposition for quantum control and neural networks for pulse optimization. As head of the Kestner quantum theory group, he mentors graduate students in theoretical physics and collaborates with experimental teams on solid-state quantum computing implementations. Research funded through university and national laboratory partnerships.

Gary SchajerView profile

Professor

• Industrial Residual Stress Measurements
• Full-Field Optical Metrology
• X-Ray CT Log Scanning
• +3 more

Professor Gary Schajer is a faculty member at the University of British Columbia , affiliated with the Faculty of Applied Science and the Department of Mechanical Engineering . He holds multiple professional designations including P.Eng., C.Eng., and fellowships with IMechE and ASME. Research Interests : Industrial Residual Stress Measurements Full-Field Optical Metrology (ESPI, DIC) X-Ray CT Log Scanning for wood quality assessment Scientific Awards : Lazan Award (2013) Most Outstanding Mech2 Professor (2005) Teaching Award for Excellence in Engineering and Geoscience Education (2005) Marquardt Wood Engineering Research Award (2004) Faculty Recognition Award (2004)

• Radar Signal Processing
• Array Signal Processing
• Radio Signal Processing
• +5 more

Professor Lee Jun-ho is affiliated with the Department of Information and Communication Engineering at Sejong University . His research focuses on Radar Signal Processing , Array Signal Processing , and Radio Signal Processing , with emphasis on analytical performance analysis of radar systems and electronic warfare modeling. Email: joonhlee@sejong.ac.kr Research Trends: Recent work includes performance analysis of the MUSIC algorithm under correlated noise, monopulse algorithm optimizations, and compressive sensing for direction-of-arrival (DOA) estimation. Key subfields involve array manifold errors , antenna stability , and statistical error modeling .

• Optical Communication
• Fiber Optics
• Photonics
• +4 more

Magnus Karlsson is a Professor of Photonics at Chalmers University of Technology and serves as Deputy Dean of the Department of Microtechnology and Nanoscience (MC2), responsible for research and graduate education. He co-leads the fiber optics research group with Prof. Peter Andrekson and co-founded the Chalmers Center for Optical Communication (FORCE) in 2010 alongside Prof. Erik Agrell. Karlsson teaches courses in Wireless and Photonics System Engineering and Photonics and Lasers, and holds editorial leadership as Editor-in-Chief of the IEEE/Optica Journal of Lightwave Technology. His research centers on optical fiber communication systems with expertise in light propagation, polarization dynamics, and nonlinear optical effects. Current investigations focus on capacity-enhancing techniques including Voronoi constellation geometric shaping, silicon nitride integrated photonics for microwave applications, and machine learning-driven polarization sensing. His work bridges theoretical modeling of phase-noise channels with experimental validation of novel receiver architectures for deep-space communication through atmospheric turbulence. Recent publications reveal strong trends in overcoming nonlinear transmission limits through multidimensional modulation and MIMO processing for coupled-core fibers. His group pioneers integrated photonic solutions for high-frequency signal generation while advancing real-time network monitoring capabilities in operational fiber infrastructure. Key themes include power-efficient signaling, distributed sensing, and computational methods for channel compensation. Karlsson's leadership in the fiber optics group and FORCE drives collaborative research in next-generation optical networks. His editorial role and ECOC program committee membership position him as a key influencer in shaping global optical communication standards and disseminating cutting-edge research advancements.

• Machine Tool Accuracy
• Advanced Materials Machining
• Manufacturing Processes Optimization
• +3 more

Fabien VIPREY is an Associate Professor at École Nationale Supérieure d'Arts et Métiers (ENSAM), leading the HSM Team. His research focuses on precision manufacturing technologies, particularly geometric error compensation in CNC machine tools, advanced materials machining (e.g., Inconel 718), and surface integrity analysis. He specializes in developing real-time error correction strategies and in-situ measurement methodologies for multi-axis machining systems. Key Research Areas: Mechanical behavior modeling of parallel kinematic machines Thermal-mechanical distortion analysis in thin-walled components Tool wear effects on machining accuracy and surface quality Development of novel calibration standards for machine tool evaluation His recent work emphasizes real-time feedback control systems for improving volumetric accuracy in 5-axis machining. He has contributed to international collaborations on aerospace material processing, particularly Inconel 718, combining experimental measurements with advanced simulation techniques. Key Publications Trends: Recent articles (2021-2025) concentrate on: Geometric error compensation strategies for multi-axis CNC systems High-feed milling of additive-manufactured Inconel 718 In-situ distortion measurement for thin-walled workpieces Novel multi-feature bar designs for machine tool calibration No awards or active PhD supervision are listed in his profile. His work bridges fundamental mechanical engineering research with industrial applications in precision manufacturing.

Paul ScottView profile

Professor

• Computational Geometry
• Surface Texture and Form Measurement
• Precision Engineering
• +7 more

Professor Paul Scott is a faculty member at the University of Huddersfield, holding the Taylor Hobson Chair in Computational Geometry within the School of Computing and Engineering. He leads the Centre for Precision Technologies as Research Director and specializes in surface texture and form metrology, precision engineering, and AI-driven manufacturing solutions. His research integrates mathematical principles with advanced instrumentation, focusing on algorithm development for surface characterization and international standardization (ISO TC/213). Scott earned a PhD in Statistics from Imperial College London and a DSc from the University of Huddersfield. His career includes 26 years at Taylor Hobson Ltd, developing metrology instruments. He has pioneered de facto standard algorithms for surface analysis and contributed to 23 ISO standards. Current research spans computational geometry, AI semantic labeling, and machine-readable standards via Category Semantic Language (CSL). His work addresses Industrie 4.0 challenges, including smart algorithms for feature recognition and digital twins modeling. Collaborations span global institutions, with projects funded by EPSRC (e.g., Future Advanced Metrology Hub). Key areas include XCT-based surface measurement, additive manufacturing metrology, and precision instrumentation. Notable contributions include decomposition theory for geometrical products, filtration techniques in surface analysis, and bridging metrology with Industry 4.0 through data-driven approaches. His h-index of 33 reflects over 3,600 citations across 193+ publications.

• Manufacturing Automation
• Cutting Tool Monitoring
• AI in Manufacturing
• +3 more

Tamas Szecsi is an Associate Professor at the School of Mechanical & Manufacturing Engineering at Dublin City University. With a PhD in Manufacturing Engineering from the University of Rousse, his career spans academic positions in Bulgaria and Hungary prior to joining DCU in 1999. Szecsi's research focuses on manufacturing automation, particularly cutting tool condition monitoring systems, precision machining accuracy, and industrial robotics applications. His work integrates AI techniques with traditional manufacturing processes to develop advanced monitoring and quality control systems. Recent projects include robotic systems for hospital environments, ergonomic design of industrial equipment, and precision engineering solutions for CNC machining. Collaborative research extends to healthcare robotics through the iWARD project, developing service modules for hospital automation. Publications demonstrate applied research addressing manufacturing challenges through sensor technology, error compensation algorithms, and human-centered design principles. Szecsi teaches courses in manufacturing processes, automation systems, and CAD/CAM technologies.

• Additive Manufacturing
• Structural Health Monitoring
• Laser Directed Energy Deposition
• +4 more

Zoé Jardon is an Applied Mechanics postdoctoral researcher at Vrije Universiteit Brussel (VUB), working within the Applied Mechanics Acoustics & Vibration Research Group. Her research focuses on additive manufacturing processes, particularly laser-based directed energy deposition techniques, with expertise spanning structural health monitoring, residual stress analysis, and crack mitigation in additively manufactured components. Dr. Jardon completed her PhD at VUB, for which she received the prestigious Belgian National Committee for Theoretical and Applied Mechanics (NCTAM) Best PhD Thesis Award in 2022 (awarded March 2023) and VUB's Doctoral Derby in 2023. Her doctoral work centered on structural health monitoring systems, building upon two Master's theses she completed at VUB in 2018: one on crack localization verification and another on turbulent noise production in duct systems. Her research program demonstrates exceptional depth in advanced manufacturing technologies, with particular emphasis on thermal management and structural integrity of additively manufactured components. Dr. Jardon's work bridges theoretical mechanics with practical industrial applications, addressing critical challenges in laser-based directed energy deposition processes including powder-gas flow dynamics, residual stress control, and real-time monitoring systems. Her fingerprint analysis reveals strong expertise in Structural Health Monitoring (100%), 3D Printing (55%), Powder Processing (48%), and Laser Materials Processing (47%). Dr. Jardon's publication record shows consistent growth and increasing impact, with 31 research outputs spanning from 2017 to 2025. Her recent work demonstrates a clear trajectory toward developing intelligent manufacturing systems that incorporate in-process monitoring and real-time control to enhance component quality and reliability, moving beyond traditional post-process inspection methods. Her notable achievements include: Belgian National Committee for Theoretical and Applied Mechanics (NCTAM) Best PhD Thesis Award 2022 (awarded March 2023) VUB's Doctoral Derby 2023 Physical understanding of propagating waves through eSHM - system for crack localization (October 10, 2019) As principal investigator for the FWOTM1172 project "Thermal history and Residual Stress Control and Mitigation for Hybrid Additive Manufacturing Techniques" (2023-2026), Dr. Jardon leads fundamental research addressing residual stresses in manufacturing processes. She actively contributes to the academic community through conference presentations and workshop organization, recently chairing the VUB Additive Manufacturing Workshop in September 2024. Her collaborative research network includes strong partnerships with colleagues at VUB and beyond, focusing on advancing additive manufacturing technologies for industrial applications. Working within VUB's Applied Mechanics Acoustics & Vibration Research Group, Dr. Jardon contributes to the group's mission of developing innovative solutions for structural analysis and advanced manufacturing challenges. Her leadership in organizing research events and presenting at international conferences demonstrates her growing influence in the additive manufacturing research community.

Kaiquan WuView profile

Researcher

• Digital Signal Processing
• Fiber-Optic Communication Systems
• Error Correction Codes
• +3 more

Kaiquan Wu is a doctoral candidate and postdoc researcher at Eindhoven University of Technology (TU/e), Netherlands, specializing in digital signal processing for fiber-optic communication systems. His research focuses on error correction codes, coded modulation, and channel modeling. PhD Candidate in Electrical Engineering (Signal Processing Systems) Postdoc in Electrical Engineering (ICT Lab) Member of the ICONIC , BIT-FREE , and DIGI-OPT research projects Research interests include combating signal impairments in optical systems through advanced DSP techniques, such as decision feedback equalizers (DFE), geometric shaping, and low-complexity detection algorithms. He has published extensively on FSO systems, IM-DD links, and energy dispersion analysis. Collaborations involve developing simplified FSO channel models, low-complexity architectures for data center applications, and patent innovations in amplitude shaping methods. His work contributes to increasing the capacity of optical communication systems while reducing complexity and error rates.

Volker SchwiegerView profile

Professor

• Geodesy
• Engineering Geodesy
• Integrative Computational Design and Construction
• +4 more

Volker Schwieger is a Professor at the Institute of Engineering Geodesy , affiliated with the Faculty of Aerospace Engineering and Geodesy at the University of Stuttgart . As a Principal Investigator in the Cluster of Excellence IntCDC, he focuses on integrating geodetic measurement technologies into computational design and construction workflows, with emphasis on robotic control, 3D scanning, and quality modeling. Key research areas: Geodesy, Computational Design, Robotics in Construction, Quality Assurance Notable projects: RP 16-1 (Robotic Assembly), RP 18-1 (Holistic Quality Model), AP 7 (Space-Time Point Cloud Modeling) Recent publications demonstrate his work in terrestrial laser scanning (TLS) for deformation analysis, point cloud processing algorithms, and holistic quality models for sustainable construction. He collaborates with institutions like Technical University of Munich and contributes to applications in bio-composites, timber structures, and climate-resilient urban planning. His methodological innovations include patch-based M3C2 analysis and supervoxel registration techniques. Despite extensive research output, no specific awards or educational background details are mentioned in the provided texts.

• Timber Engineering
• Sustainable Construction
• Robotics in Construction
• +4 more

Marc Pantscharowitsch is a researcher at the Institute of Green Civil Engineering within the Department of Landscape, Water and Infrastructure at the University of Natural Resources and Life Sciences, Vienna (BOKU). His work focuses on the intersection of timber engineering, robotics, and digital fabrication in construction. With numerous publications in high-impact journals and conference proceedings, he has established himself as a leading expert in applying industrial robotics to timber construction processes. His research interests span Timber Engineering , Sustainable Construction , Robotics in Construction , Automation , Computer Integrated Manufacturing , Structural Timber Components , and Digital Fabrication . Dr. Pantscharowitsch's work particularly emphasizes the precision machining of glued laminated timber (GLT) using industrial robots, comparing robotic systems with traditional joinery machines, and developing optimization models for timber manufacturing processes. His research addresses critical challenges in sustainable construction through innovative automation solutions that improve efficiency and reduce waste. An analysis of his 15 most recent publications reveals a strong trend toward integrating industrial robotics with timber construction, with particular emphasis on accuracy assessment, workspace utilization, and comparative analysis between robotic systems and traditional manufacturing methods. His work spans from fundamental research on machining parameters to applied studies on load-bearing behavior of robot-manufactured timber joints, demonstrating both theoretical depth and practical relevance to the construction industry. Dr. Pantscharowitsch actively supervises graduate students, having guided at least two master's theses on topics related to robotic timber processing. His current research includes the 'Prefab.Facade' project, which runs from September 2022 to August 2025, focusing on prefabricated facade systems using advanced manufacturing techniques. While specific grant details aren't provided in the available information, his involvement in multiple collaborative projects suggests active engagement with funding agencies and industry partners. As a member of BOKU's Institute of Green Civil Engineering, Dr. Pantscharowitsch contributes to the institution's mission of developing sustainable civil engineering solutions with a particular focus on timber as a renewable construction material. His work bridges traditional construction techniques with cutting-edge digital fabrication methods, positioning him at the forefront of innovation in sustainable building technologies.

• Additive Manufacturing
• 3D Printing
• Photogrammetry
• +3 more

Fulvio Lavecchia is an Associate Professor at the Department of Mechanics, Mathematics & Management (Politecnico di Bari). He coordinates Erasmus+ (incoming) for Mechanical Engineering and contributes to research in manufacturing technology and systems (ING-IND/16). Primary Affiliation: Politecnico di Bari, Bari, Italy Department: Mechanics, Mathematics & Management Email: fulvio.lavecchia@poliba.it Contact: +39 080 596 3463 | Viale Japigia 182, Bari His research focuses on: Additive Manufacturing (metal/polymer) including Material Extrusion, Laser Metal Deposition, and Powder Bed Fusion Photogrammetry and optical scanning techniques for precision measurements Sustainability strategies in AM technologies Process monitoring using layerwise analysis and optical systems Material property evaluation (metals, polymers, composites) Debinding/sintering process chains for metal/ceramic parts Recent article trends show expertise in: Fracture mechanics of composite materials Process optimization through in-situ monitoring Surface quality assessment and compensation techniques Energy efficiency and patent analysis for sustainable AM Dimensional accuracy in metal AM Multi-step processing of advanced materials He actively contributes to the academic community through: Coordinating international student exchanges Developing innovative manufacturing methodologies Advancing measurement techniques for industrial components

• Signal Processing
• Image Processing
• Bayesian Inference
• +3 more

Audrey Giremus is a Professor at the Institut de Mécanique et d'Ingénierie de Bordeaux (IMS Bordeaux) , affiliated with the Signal and Image Processing research group (SPECTRAL team). Her work bridges signal processing, statistical modeling, and interdisciplinary applications in environmental science and biomedical engineering. Key affiliations: IMS Bordeaux, BRGM (Bureau de Recherches Géologiques et Minières), CNRS (Centre National de la Recherche Scientifique) Collaborations: STMicroelectronics, Stellantis, Thales, CEA, Slb Research Interests focus on: Advanced signal/image processing algorithms Bayesian inference and particle filtering Applications in GPS navigation, fuel cells, and material science Statistical methods for high-dimensional data Thermal source localization and acousto-thermal coupling Coastal erosion detection using Markov chains Recent publications demonstrate expertise in GPS interference compensation , fuel cell degradation modeling , and biomarker validation . Collaborative projects with institutions like BRGM and CEA highlight her cross-disciplinary impact. Grants/Projects include: PEPR Risks (IRiMa) - CNRS OneWater PEPR - CNRS Technical platforms mentioned: Accelerated Aging Nanocomponent Testing (ATLAS, Cacyssee) Thermal Analysis (Elorga, Tamis) Terahertz and Organic Electronics

Panagiotis SouganidisView profile

Professor

• Partial Differential Equations
• Stochastic Analysis
• Mathematical Biology
• +5 more

Panagiotis Souganidis is the Charles H. Swift Distinguished Service Professor in the Department of Mathematics at the University of Chicago. His research spans partial differential equations with applications to phase transitions, mathematical biology, and stochastic analysis. He holds editorial positions at leading journals including Communications in Partial Differential Equations and Journal de Mathematiques Pures et Appliques , and serves on the Council of the American Mathematical Society. His research focuses on qualitative properties of solutions to elliptic/parabolic and hyperbolic PDE, particularly conservation laws and Hamilton-Jacobi equations. Key contributions include developing the theory of stochastic viscosity solutions for fully nonlinear stochastic PDE with multiplicative noise, homogenization in random environments, and biological models for motor effects. His work bridges abstract theory with applications in physics and biology through rigorous mathematical frameworks. Recent publications demonstrate sustained innovation in stochastic homogenization, conservation laws with rough fluxes, and biological modeling. His research exhibits strong international collaboration patterns, frequently co-authoring with leading mathematicians like P.-L. Lions and B. Perthame. The work consistently addresses foundational challenges in nonlinear PDE while expanding into new application domains. Professor Souganidis has advised 10 doctoral graduates who now hold academic positions at institutions including UCLA, Carnegie Mellon, and the University of Massachusetts. He currently mentors 4 graduate students and has served on numerous editorial boards and professional committees, including the Council of the American Mathematical Society (2009-2012) and the Board of Governors of the Institute for Mathematics and its Applications (2010-2015).