جست‌وجوی استاد و پژوهشگر

• 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.

• Robotics
• Space Robotics
• Collaborative Robotics
• +۱۰ مورد دیگر

Dr. Michelle Dunn is a Senior Lecturer in the School of Engineering at Swinburne University of Technology, where she leads research in robotics and signal processing. She serves as the academic lead for the Swinburne Rover Team and the lead of Space Robotics within the Swinburne Space Technology and Industry Institute. Her interdisciplinary work bridges engineering, space technology, industrial monitoring, and cultural heritage conservation. School: School of Engineering University: Swinburne University of Technology Academic Rank: Senior Lecturer Dr. Dunn's research is centered on robotics and signal processing, with key interests in Space Robotics, Collaborative Robotics, Lunar Dust Mitigation, and Assistive Technologies. She applies signal analysis techniques to diverse fields including steelmaking, where she uses acoustic and vibration signals to monitor processes, and art conservation, where she integrates spectroscopy and imaging to analyze paintings. Her work combines experimental modeling, sensor development, and data analytics to solve real-world engineering challenges. Her recent publications span robotics in agriculture, lunar dust mitigation, additive manufacturing defect detection, and acoustic monitoring in steelmaking. These works reflect a strong trend toward applying robotics and advanced signal processing to practical, interdisciplinary problems. She frequently collaborates with industry and government agencies, securing funding from the ARC and Department of Industry, Science and Resources. Scientific awards include: Vice-Chancellor's Teaching Excellence (Higher Education) Award (2018) Vice-Chancellor's Teaching Excellence (Higher Education) Award (2013) Dr. Dunn actively supervises PhD and Master’s students across diverse projects, including heat flow monitoring, assistive mobility devices, UAV-based parking systems, and EEG-based voice detection. She has been principal investigator on multiple ARC-funded grants, such as the ARC Training Centre for Collaborative Robotics in Advanced Manufacturing and projects focused on sound and vibration monitoring in steelmaking. Her research contracts include development of portable parasite detection systems and cuffless blood pressure monitoring. She leads and contributes to laboratory-based research in the Swinburne Space Technology and Industry Institute, focusing on space robotics and lunar dust mitigation. Her team also operates experimental setups for acoustic and vibration monitoring in industrial models, supporting innovation in steelmaking and manufacturing.

Qing-Long Hanمشاهده پروفایل

استاد

• Control Theory
• Control Engineering
• Networked Control Systems
• +۱۲ مورد دیگر

Professor Qing-Long Han is Pro Vice-Chancellor (Research Quality) and Distinguished Professor at Swinburne University of Technology, Australia. He has previously held academic and leadership roles at Griffith University and Central Queensland University. He is a globally recognized expert in control theory and engineering, particularly in networked and time-delay systems. Pro Vice-Chancellor (Research Quality), Swinburne University of Technology Distinguished Professor, Swinburne University of Technology Editor-in-Chief, IEEE/CAA Journal of Automatica Sinica President-Elect, Asian Control Association His research interests span Control Engineering, Networked Control Systems, Multi-Agent Systems, Smart Grids, Unmanned Surface Vehicles, Neural Networks, and Secure Control . He is deeply involved in resilient and secure control under cyber threats, optimization, and industrial metaverse applications. His work integrates control theory with AI, IoT, and industrial automation. The recent publications highlight a strong trend toward secure, resilient, and distributed control in cyber-physical systems, particularly under attacks (replay, falsification), communication constraints, and delays. There is a clear focus on real-world applications in autonomous vehicles, trains, drilling systems, and chiller networks, using advanced methods such as reinforcement learning, event-triggering, and neurodynamic optimization. Award highlights include: IEEE Dr.-Ing. Eugene Mittelmann Achievement Award (2024) Norbert Wiener Award (2021) M. A. Sargent Medal (2021) IEEE Andrew P. Sage Best Paper Award (2019, 2020, 2022) Highly Cited Researcher (Clarivate, multiple years) Professor Han actively supervises PhD students in cutting-edge control topics and leads major research grants from the Australian Research Council and National Natural Science Foundation of China. He is a Fellow of IEEE, IFAC, Engineers Australia (Honorary), and the Chinese Association of Automation. He also contributes to editorial leadership in top journals and professional societies. He is associated with research teams and editorial boards in control systems, automation, and intelligent systems, fostering international collaboration and innovation in engineering.

Carol MARTINEZ LUNAمشاهده پروفایل

پژوهشگر

• Space Robotics
• Computer Vision
• Machine Learning
• +۵ مورد دیگر

Dr. Carol Martinez Luna is a Research Scientist and Deputy Head of the Space Robotics group (SpaceR) at the SnT Interdisciplinary Centre, University of Luxembourg. She holds a PhD in Robotics and Automation from Universidad Politécnica de Madrid (2013) and previously served as an Assistant Professor at Pontificia Universidad Javeriana, Colombia. Her research spans Space Robotics , Computer Vision , and Machine Learning , with current focus areas including: Multi-purpose manipulation for planetary/orbital robots Perception systems for autonomous space operations Domain adaptation to bridge simulation-to-reality gaps On-ground testing of orbital technologies Recent publications (2022-2025) predominantly address space debris removal , autonomous grasping , and robotic perception , with heavy emphasis on machine learning techniques and high-fidelity simulation validation. Notable trends include generative models for manipulation and adaptive control under uncertainty. She actively advises 7 PhD students and 9 Master's candidates on topics ranging from space manipulation to vision-based safety systems. Her lab develops experimental platforms for orbital scenario emulation and collaborates on ESA-funded debris removal initiatives.

• Algorithmic Game Theory
• Stochastic Games
• Distributed Systems
• +۵ مورد دیگر

Hugo Gimbert is a Researcher at the LaBRI (Laboratoire Bordelais de Recherche en Informatique) within the Méthodes Formelles Team . His work bridges computational theory and practical applications, focusing on algorithmic game theory, stochastic processes, and formal methods in computer science. Research interests include: Decidability problems in distributed and stochastic games Partial observation in multi-player systems Cooperation and competition in bridging scenarios Social choice theory implementation Precision farming automation Probabilistic logics and humanoid robot control via MDPs Advising roles: PhD advisor for Soumyajit Paul, Edon Kelmendi, Quentin Rouxel, and Ludovic Hofer PhD co-advisor for Simon Mauras Former advisor for Youssouf Oualhadj Key projects: Stamina - Stabilisation monoids and regular language analysis Marmotte - CNRS committee digitalization platform Rhoban System - Real-time robotics for agriculture and soccer Parcoursup - Algorithmic college admission system for French government

Armen Gulianمشاهده پروفایل

استاد

• Superconductivity
• Condensed Matter Physics
• Quantum Electronics
• +۴ مورد دیگر

Dr. Armen Gulian is a Professor and Director of the Advanced Physics Laboratory at Chapman University's Schmid College of Science & Technology. He holds a Master of Science from Moscow Institute of Physics and Technology and has conducted groundbreaking research in superconductivity, mesoscopic systems, and quantum electronics. Current affiliation: Chapman University (Schmid College of Science & Technology, Physics Department) Prior roles: Founder of the Laboratory of High-Temperature Superconductivity (Armenia), researcher at US Naval Research Laboratory Email: gulian@chapman.edu Research Interests: Dr. Gulian's work focuses on non-equilibrium phenomena in superconductors/superfluids, phase-slip centers, vortex dynamics, and cryogenic sensors. Recent studies include: High-frequency superconducting diodes (Nb3Sn microbridges) Quadristor devices for reversible superconducting switching Phase-slip centers as solid-state cooling engines via thermal diode effects Gravitational wave sensors using superconducting transducers Room-temperature superconductivity exploration in graphene-based systems Publication Trends: His 2020-2023 articles span superconductivity (60%), quantum electronics (20%), and condensed matter physics (20%), with key subfields including phase-slip dynamics, vortex control, and cryogenic device design. Funding from Office of Naval Research (grants N00014-19-1-2265 and N00014-21-1-2879) supports his laboratory's work.

Ugo Buyمشاهده پروفایل

دانشیار

• Software Engineering
• Concurrent Systems
• Real-Time Systems
• +۵ مورد دیگر

Ugo Buy is an Associate Professor in the Department of Computer Science at the University of Illinois at Chicago, affiliated with the College of Engineering. His research focuses on software engineering, particularly in modeling and analysis of concurrent and real-time systems, and the automatic generation of control supervisors for discrete manufacturing systems. He has also explored applications in supervisory control, dynamic reconfiguration, and automatic correction of multi-threaded Java programs. Education: Ph.D., University of Massachusetts, 1990 Research Interests: Dr. Buy's work spans software engineering for concurrent systems, real-time systems verification using finite automata and Petri nets, and supervisory control techniques for discrete manufacturing plants. Additional interests include multicore hardware development, mobile app development, and sensor networks. He co-directed a NIST-sponsored project on automated supervisory controllers for discrete manufacturing systems. Teaching: Dr. Buy has taught courses such as object-oriented programming (CS 342, CS 474), software engineering (CS 342, CS 440, CS 442, CS 540), and mobile app development (CS 478). Earlier in his career, he taught introductory computer science (CS 100, CS 101), data structures (CS 201), and theoretical courses (CS 301, CS 401). Professional Activities: Organization Committee Member, Petri Nets '93 (14th International Conference on Application and Theory of Petri Nets, Chicago, Illinois) Program Committee Member, ICCI'93 (Fifth International Conference on Computing and Information, Sudbury, Ontario) Program Committee Member, IWSSD-7 (IEEE Seventh International Workshop on Software Specification and Design, Redondo Beach, California) Program Committee Member, IWSSD-8 (IEEE Eighth International Workshop on Software Specification and Design, Paderborn, Germany)

• Orthopaedic Surgery
• Sarcoma
• Joint Replacement
• +۳ مورد دیگر

Prof. Peter F. Choong holds the Sir Hugh Devine Chair of Surgery and serves as Head of the Department of Surgery at the University of Melbourne, based at St. Vincent's Hospital Melbourne. He concurrently directs Orthopaedics at St. Vincent's Hospital Melbourne and chairs the Bone and Soft Tissue Sarcoma Service at Peter MacCallum Cancer Centre. His research program integrates clinical orthopaedics with engineering innovation, focusing on joint replacement biomechanics, sarcoma management across age groups, and advanced prosthetic control systems. Key interests include optimizing surgical outcomes through precision alignment techniques, geriatric oncology protocols, and closed-loop myoelectric interfaces that enhance functional mobility. Recent publications (2019-2020) reveal strong interdisciplinary convergence between surgical practice and engineering disciplines. Dominant themes include outcome analysis of knee/hip arthroplasty, sarcoma treatment efficacy in elderly populations, and adaptive algorithms for human-prosthesis interfaces. This work bridges orthopaedic surgery, rehabilitation engineering, and materials science to address complex mobility challenges.

• Building Acoustics
• Noise Control
• Environmental Health Effects
• +۵ مورد دیگر

Michail Terzakis is a researcher at the College of Built Environment, Department of Building Acoustics, Eindhoven University of Technology. His work focuses on outdoor-to-indoor sound propagation models, façade sound insulation, and the non-auditory health effects of noise, particularly in children. He is affiliated with the university's research initiatives on environmental noise exposure and computational acoustics. His research connects with the UN Sustainable Development Goals for sustainable cities and public health. Key collaborations include Dr. C. Van Hoorickx and Prof. M. Hornikx. Broad research areas: Building Acoustics, Environmental Health, Computational Modeling Notable contributions: PhD thesis on noise exposure studies (2025), conference papers on sound insulation (2024), noise attenuation factors (2024), and sleep quality indicators (2022). His work integrates acoustic measurement techniques, finite element analysis, and epidemiological methods to address urban noise challenges. Contact: m.e.terzakis@tue.nl .

• 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)

• Mechanical Engineering
• Automotive Engineering
• Machine Learning
• +۷ مورد دیگر

fabio alberti is a fixed-term assistant professor at the department of mechanical and aerospace engineering (dimeas) of politecnico di torino. he is affiliated with the college of mechanical, aerospace, and automotive engineering. his work spans mechanical engineering, automotive systems, and applied mechanics. fabio's research integrates machine learning with mechanical engineering, focusing on vehicle dynamics, smart design algorithms, and biomedical applications like hip and dental prosthetics. his studies address fatigue analysis, vibration modeling, and tire dynamics. his recent articles highlight trends in electric powertrain control with neural networks smart design for automotive and biomedical components multi-physical modeling of tires and urban vehicles tribological and biomechanical analysis vibration and fatigue life evaluation

• Machine Diagnostics
• Vibration Monitoring
• Bearings
• +۵ مورد دیگر

Alessandro Paolo Daga is a Fixed-term Tenure-Track Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) , Politecnico di Torino. His research focuses on machine diagnostics, vibration monitoring, bearings, digital signal processing, and machine learning applications in industrial systems. Keywords: Bearings, Digital Signal Processing, Machine Diagnostics, Machine Learning, Rotordynamics Awards: Best Poster Award at COMSOL Conference Munich 2023 3rd Place Best Paper at IEEE MetroInd4.0&IoT 2020 1st Place at Surveillance 9 (2017) 2nd Place at Surveillance 8 (2015) Teaching: He teaches courses in Gearbox Failure Analysis and Monitoring, and collaborates in Vibration Mechanics and Vehicle Noise & Vibration at both bachelor’s and master’s levels. He also supervises PhD research in Mechanical Engineering. Recent Research Trends: His work spans aerospace pyroshock testing, wind turbine condition monitoring, and vibration diagnostics for rotating machinery. He applies statistical learning and signal processing to energy systems and industrial equipment maintenance.

Hardy Weisweilerمشاهده پروفایل

استاد

• Fluid Mechanics
• Computational Fluid Dynamics (CFD)
• Lightweight Construction
• +۵ مورد دیگر

Prof. Dr. Hardy Weisweiler is a full-time faculty member at the Technical University of Central Hesse, specializing in the Department of Mechanical Engineering, Mechatronics and Materials Technology. His expertise spans fluid mechanics, computational fluid dynamics (CFD), lightweight construction, finite element method (FEM), and hydrogen technology, with a focus on practical research and educational infrastructure development. Academic Affiliation: Technical University of Central Hesse (THM) Roles: Professor, Dean of the Faculty of Mechanical Engineering, Co-founder of the Computational Engineering Laboratory Research initiatives include the establishment of a state-of-the-art fluid mechanics laboratory with wind tunnel facilities, collaborations with Helmholtz Centre for Heavy Ion Research (GSI) and DLR-Göttingen, and numerous industrial partnerships (ABB, BMW, Siemens). His work emphasizes reducing errors in fluid dynamic design, improving energy efficiency, and advancing hydrogen storage systems. Key scientific awards include the VDI Prize (2006). Expert activities include reviewing funding lines (2013-2017), developing hydrogen refueling test benches, and providing technical consultancy on valve systems, turbine blade solidification, and vacuum coating technologies. Supervision of diploma theses with companies like Honeywell and Metzeler is highlighted.

Eckhard Hennigمشاهده پروفایل

استاد

• Digital Circuit Design
• Low-Power CMOS Technology
• Integrated Sensors
• +۴ مورد دیگر

Eckhard Hennig is a Professor in the Department of Electronics & Drives at Reutlingen University, specializing in digital circuit design, low-power systems, and power electronics. His work bridges academic research and industrial application, with a focus on robust multisensor systems and technical origami for engineering. Education: Dipl.-Ing. in Electrical Engineering (1994, TU Braunschweig), Dr.-Ing. (2000, TU Kaiserslautern) Professional History: Researcher at University of Kaiserslautern (1995), Fraunhofer ITWM (1996–2000), Infineon Technologies AG (2000–2008), IMMS Institute (2008–2015) His research interests include low-power CMOS technology , delta-sigma modulation , and heterogeneous system modeling , with applications in energy-efficient systems and sensor networks. Recent publications emphasize adaptive modulation techniques , GaN-based power devices , and temporal decoupling for circuit stability. He leads projects like RoMulus (robust multisensor systems) and ZEBRA (technical origami) and contributes to interdisciplinary initiatives in hearing diagnostics and energy systems. His teaching includes courses on digital electronics, mixed-signal circuit design , and system modeling , with hands-on labs in FPGA/ASIC design and GaN device optimization. He works in the Digital Circuit Technology Lab, focusing on verification, heterogeneous simulation, and industry 4.0 sensor systems.

Lars Penterمشاهده پروفایل

پژوهشگر

• Machine Tools
• Adaptive Control Systems
• Industrial Internet of Things
• +۶ مورد دیگر

Lars Penter is a Senior Engineer Research and Education at the Chair of Machine Tool Development and Adaptive Controls , Dresden University of Technology, and a Research Associate at the Fraunhofer Institute for Machine Tools and Control Technology (Department of IIoT Controls and Technical Cybernetics). His career spans roles since 2018 in machine tool development, adaptive control systems, and industrial IoT applications. Current affiliations: Dresden University of Technology, Fraunhofer Institute Research focus: Digital twin technology, friction modeling, damping analysis, sheet metal forming, process-machine interaction Scientific contributions include 15 recent articles (2025–2022) covering AI-driven deep drawing process prediction, digital twin applications in forming, multifractal surface analysis, and composite material damping. Publications appear in journals like At-Automatisierungstechnik and Robotics and Computer-Integrated Manufacturing . He contributes to industrial simulation and thermo-elastic analysis , addressing challenges in forming press behavior, elastic tool deformations, and chatter detection. His work bridges mechanical engineering with industrial IoT and AI-driven optimization .