جستجوی استاد راهنمای دانشگاهی

Yinan Wangمشاهده پروفایل

استادیار

• Machine Learning
• Deep Learning
• Uncertainty Quantification
• +۳ مورد دیگر

Yinan Wang serves as an Assistant Professor in the Department of Industrial and Systems Engineering at Renssela Polytechnic Institute (RPI), focusing on engineering-driven machine learning applications for advanced manufacturing and robotics systems. Education: Ph.D., Industrial and Systems Engineering, Virginia Tech, 2022 M.S., Electrical Engineering, Columbia University, 2019 B.S., Electrical Engineering and Automation, Xi'an Jiaotong University, 2017 Research Interests: Dr. Wang's work bridges machine learning with industrial engineering through deep learning, uncertainty quantification, and system intelligence. His research targets advanced manufacturing challenges including robotic path planning, 3D anomaly detection, and environmental monitoring systems. Key application areas span aerospace assembly, toxic plume prediction, and quality control in industrial settings. Publication Trends: His 2024-2025 publications reveal three dominant themes: (1) transformer model compression for time-series forecasting (Smartformer), (2) geometric contrast learning for industrial point cloud segmentation (GeoContrast), and (3) multimodal physiological signal analysis for aviation safety prediction. These works consistently integrate physics-based constraints with deep learning architectures. Scientific Awards: Mary G. and Joseph Natrella Scholarship, American Statistical Association (ASA), 2022 Featured Article in ISE Magazine, Institute of Industrial and Systems Engineers (IISE), 2022 SPES + Q&P Best Student Paper Award, American Statistical Association (ASA), 2022 Educational Foundation Scholarship and Analysis Division Scholarship, International Society of Automation (ISA), 2021 Gilbreth Memorial Fellowship, Institute of Industrial and Systems Engineers (IISE), 2021 Data Mining & Decision Analytics (DMDA) Best Theoretical Paper Award, INFORMS, 2021 Finalist of Best Student Paper Award, Quality, Statistics & Reliability (QSR) Section, INFORMS, 2021 Best Poster Award, Manufacturing Science & Engineering Conference (MSEC), ASME, 2021 Advising and Grants: No publicly listed advisees or specific grant awards appear in the source material, though his extensive publication record and research center affiliations suggest active grant-supported projects. Labs and Teams: Dr. Wang contributes to RPI's Institute for Data Exploration and Applications (IDEA) and Center for Materials, Devices, and Integrated Systems (CMDIS), participating in interdisciplinary teams focused on data-driven engineering solutions.

Sheng Guoمشاهده پروفایل

دانشیار

• Econometrics
• Household Finance
• Real Estate Economics
• +۴ مورد دیگر

Dr. Sheng Guo is an Associate Professor of Economics at Florida International University's Steven J. Green School of International & Public Affairs, holding a Ph.D. from the University of Chicago with CFA and FRM designations. His research spans household financial decisions, real estate economics, and health policy impacts. His work examines wealth effects on consumer behavior, housing market dynamics, executive compensation structures, and healthcare information systems. Current research investigates home equity utilization patterns and corporate governance during financial distress. Analysis of publications reveals consistent focus on wealth- consumption relationships, housing market dynamics, econometric methodology refinement, and corporate financial decision-making. Research employs advanced econometric techniques including switching regression models and longitudinal data analysis.

Robert Mahonyمشاهده پروفایل

استاد

• Robotics
• Control Systems
• Computer Vision
• +۷ مورد دیگر

Robert Mahony is a Professor in the School of Engineering at the Australian National University (ANU) and an IEEE Fellow. His research focuses on nonlinear systems theory, geometric optimization, and robotics applications, with particular emphasis on control systems, vision-based navigation, and autonomous systems. He holds a PhD in Systems Engineering (1995) and a BSc in Applied Mathematics and Geology (1989), both from ANU. His work spans robot vision, mobile robotics, Lyapunov methods, and nonlinear control, with contributions to inertial navigation, event cameras, and equivariant filtering. He teaches courses such as ENGN4627/ENGN6627 Robotics and leads the Control, Information, Intelligence, Communication, Automation, Decision, and Autonomy Laboratory (CII-CADA Lab) at ANU. Key research themes include observer design for nonlinear systems, sensor fusion, and real-time control algorithms for autonomous vehicles. His publications address challenges in SLAM (Simultaneous Localization and Mapping), multi-object tracking, and robust state estimation under sensor limitations. Awards: IEEE Fellow Labs/Teams: CII-CADA Lab (ANU) Grants/Advising: Course convener for robotics modules; extensive collaborations on fire detection technology and aerospace systems.

• Computer Vision
• Robotics
• Image Processing
• +۳ مورد دیگر

Pedro Gil Jiménez is a Professor at the University of Alcalá, affiliated with the Signal and Communication Theory Department within the Electrical Engineering field. He leads the GRAM Group (Multisensorial Recognition and Analysis Group), focusing on advanced computer vision and robotics applications. His doctoral research (2009) centered on optimizing artificial vision techniques for surveillance systems under Dr. Saturnino Maldonado Bascón's supervision. His research emphasizes interdisciplinary approaches, integrating machine learning, robotics, and sensor technologies. Key areas include traffic sign recognition systems, mobile robotics design (e.g., stair-climbing wheelchairs), and medical rehabilitation applications. He has pioneered work in video surveillance, noise reduction algorithms, and object detection systems using SVMs and clustering methods. Over 20 years of publications (2002–2025) reflect his contributions to image processing, autonomous systems, and educational strategies in engineering curricula. His work bridges theoretical advancements with practical applications in security, healthcare, and transportation sectors. No notable awards are listed, though his extensive publication record highlights sustained academic impact.

Colas Schretterمشاهده پروفایل

استاد مهمان

• Digital Holography
• Biomedical Imaging
• Image Compression
• +۳ مورد دیگر

Colas Schretter is a postdoctoral researcher and paid visiting professor at the Vrije Universiteit Brussel , affiliated with the Department of Electronics and Informatics. His research spans digital holography, biomedical imaging, and advanced signal processing techniques. Current projects include GEAR: Venturing into future health technologies (2021–2025) focusing on photoplethysmography and holographic image quality improvement. Previously led FWOAL784 (2015–2018) on hologram classification and compression. Research Interests : Digital holography for biomedical applications, lossless image compression algorithms, motion compensation in dynamic holography, and health technology innovation. His work bridges optical engineering, computer science, and real-time data processing. Recent Publications highlight advancements in hologram compression, spectrometer calibration, and 4D light field coding, reflecting his interdisciplinary focus. Collaborations include co-chairing conferences like ITF2018 Belgium and contributing to IEEE Access and SPIE proceedings.

Andreas Archentiمشاهده پروفایل

استاد

• Precision Engineering
• Metrology
• Industrial Analytics
• +۷ مورد دیگر

Professor Andreas Archenti is a Chair Professor in Industrial Dependability at KTH Royal Institute of Technology , focusing on Precision Engineering, Metrology, and Analytics. He serves as the Director of the Center for Design and Management of Manufacturing Systems (DMMS) and teaches courses like Advanced Manufacturing Equipment and Industrial Analytics. Education: PhD in Machine and Process Technology (2011), MSc in Mechanical Engineering (2007) Research Interests: Precision manufacturing, robotics for biomedical applications, integrated metrology, and machine tool dynamics Collaborations: University of Tokyo on robotics for scientific exploration Recent Publications highlight data-driven surface quality prediction, compliance compensation in robotics, bearing fault diagnosis, and machine tool calibration. His work spans aerospace to micro/nano fabrication, emphasizing accuracy from nanometers to large-scale systems. Key Contributions include methodologies for machine tool error compensation, dynamic interaction modeling, and transfer learning applications in manufacturing. He has authored chapters in Springer publications and holds a patent for machine parameter determination.

Carlos Andujar Granمشاهده پروفایل

دانشیار

• Computer Graphics
• 3D Modeling and Animation
• Virtual and Augmented Reality
• +۵ مورد دیگر

Carlos Andújar Gran is an Associate Professor in the Computer Science Department at the Polytechnic University of Catalonia . He is a key member of the ViRVIG Research Center for Visualization, Virtual Reality, and Graphics Interaction, as well as the Eurographics Association . His work bridges technical innovation with cultural and educational applications. Primary affiliation: Universitat Politècnica de Catalunya Research center: ViRVIG - Research Center for Visualization, Virtual Reality and Graphics Interaction Professional network: Eurographics Association His research interests focus on advanced topics in computer graphics and virtual reality : 3D Modeling - Digital reconstruction of complex geometries Animation Systems - Real-time motion capture and pose estimation Cultural Heritage - Digital restoration techniques for medieval monuments Human-Computer Interaction - 3D user interface design Sports Analytics - Player position tracking through computer vision Medical Education - VR nursing training platforms His technical publications demonstrate a consistent focus on solving practical problems through innovative algorithms: Developed DragPoser for motion reconstruction with sparse sensors Created PADELVIC dataset for sports analytics Advanced automated color restitution methods for mural paintings Improved normal estimation in point cloud processing Optimized terrain super-resolution techniques using convolutional networks Designed interactive cultural heritage systems for museum exhibitions

• Quantum Physics
• Superconductivity
• Spintronics
• +۶ مورد دیگر

Sol H. Jacobsen is a Researcher in the Department of Physics at the Norwegian University of Science and Technology (NTNU), where he leads the Jacobsen Group focused on theoretical quantum condensed matter physics. He is affiliated with the QuSpin centre of excellence in spintronics and maintains an active research program exploring the intersection of superconductivity and magnetism. Dr. Jacobsen's research interests span fundamental quantum physics with a focus on superconductors and magnetic systems. His work investigates geometric curvature effects in superconducting spintronics, cavity quantum electrodynamics with magnetic materials, and the manipulation of quantum states through novel material designs. His research has significant implications for quantum computing, spintronic devices, and quantum sensing technologies. His recent publications demonstrate a strong focus on geometric manipulation of superconductivity, cavity-mediated superconductor-ferromagnet interactions, and curvature-induced quantum effects. The research shows a clear trajectory toward developing new quantum technologies that leverage the unique properties emerging at the interface of superconductors and magnetic materials, particularly through geometric design principles and cavity quantum electrodynamics. Australian Federal Medal: Women in Physics Lecturer Dr. Jacobsen actively supervises multiple PhD and Master's students, including Tancredi Salamone and Andreas T.G. Janssønn who have recently defended their theses. His group has secured significant funding including a 12M NOK/1M EUR/$1.7M AUD grant from the Norwegian Research Council for the SUPERFLEX project (2025-2030). He frequently presents at international conferences and has been featured in multiple podcasts discussing quantum physics and superconducting spintronics. The Jacobsen Group maintains an active research program with regular group meetings and collaborations with international partners including institutions in Germany, Australia, and South Korea. Their work combines theoretical modeling with potential experimental verification, focusing on creating new quantum phenomena through geometric design and material engineering.

• Robotics
• Control Systems
• Industrial IT
• +۳ مورد دیگر

Geir Hovland is a Professor at the Department of Engineering Sciences, University of Agder. He holds an MSc in Engineering Cybernetics from NTNU (1993) and a PhD in Robotics from the Australian National University (1997). His research focuses on robotics, control systems, industrial IT, and modeling/identification of dynamic systems. He serves as Chief Editor of the MIC Journal . Research Interests: Robotics and automation, including flexible manipulators and sensor networks Control systems for offshore and industrial applications Parallel kinematic machines and mechatronic systems Blockchain stability analysis (nonlinear control) Publications: Over 100 peer-reviewed articles in journals like Robotics , IEEE Transactions , and MIC Journal , with a focus on advanced control strategies, sensor optimization, and robotics in harsh environments. Labs/Teams: Leads the Norwegian Motion-Laboratory and collaborates with industry partners on projects like autonomous mooring systems and offshore crane modeling.

Kailai Liمشاهده پروفایل

استادیار

• Robotic Perception
• Sensor Fusion
• State Estimation
• +۲ مورد دیگر

Kailai Li is a tenure-track Assistant Professor at the University of Groningen's Bernoulli Institute, where he leads the Agile Sensing and Intelligence Group (ASIG). His research develops novel methods for robotic perception, including continuous-time state estimation, sensor fusion, and visual navigation. Recent publications focus on Gaussian process representations for motion estimation and multi-robot collaboration using vision-language models. Dr. Li's lab maintains open-source projects like LiLi-OM (LiDAR-inertial odometry) and SFUISE (UWB-inertial fusion). Collaborations include Linköping University and industry partners. Current projects investigate trustworthy perception for autonomous systems under uncertainty and efficient representations for high-dimensional state estimation.

Yunus Can Gültekinمشاهده پروفایل

پژوهشگر

• Wireless Communication
• Optical Communications
• Quantum Key Distribution
• +۵ مورد دیگر

Yunus Can Gültekin is a Researcher at the Eindhoven University of Technology (TU/e), affiliated with the Signal Processing Systems department within the Electrical Engineering school. He holds a B.Sc. and M.Sc. from Middle East Technical University (Turkey) and a Ph.D. from TU/e (2020). His research focuses on future wireless/optical communication systems, quantum key distribution, and signal processing solutions using information theory tools. Key contributions include developing coded modulation techniques and mitigating nonlinear interference in optical systems. Education: B.Sc., Middle East Technical University, Ankara, Turkey (2013) M.Sc., Middle East Technical University, Ankara, Turkey (2015) Ph.D., Eindhoven University of Technology, Netherlands (2020) Research Interests: Quantum Key Distribution (QKD) systems Optical and free-space communication systems Probabilistic shaping and nonlinear mitigation Coded modulation design for high-speed transmission Notable Achievements: Best Paper Award at WIC/IEEE Symposium (2018) Optica Student Paper Award (2022) Quantum Delta NL Exchange Visit Grant (2023) International Excellence Fellowship (2024) Teaching: Current courses: Communication Theory, Digital Wireless Communication Exploration Lab Past courses: Analog Electronics Lab, Digital Design Lab Key Projects: LaiQa: Quantum Satellite Communications (2024–2026) BIT-FREE: Free-Space Optics (2024–2028) COCOLI: Optical Link Complexity (2022–2028) Labs/Teams: Active in the Signal Processing Systems group, collaborating on quantum and optical communication initiatives at TU/e.

Mohsen Sooriمشاهده پروفایل

استادیار

• Artificial Intelligence
• Manufacturing Processes
• Industry 4.0
• +۳ مورد دیگر

Dr. Mohsen Soori is an Assistant Professor in the Department of Mechanical Engineering at the Faculty of Engineering, Eastern Mediterranean University. His research focuses on integrating artificial intelligence (AI), machine learning, and deep learning into advanced manufacturing processes, particularly in Industry 4.0 applications such as smart quality control, human-robot collaboration, and additive manufacturing optimization. He also specializes in CNC machining optimization, virtual machining systems, and error compensation in precision manufacturing. Dr. Soori holds a Ph.D. in Mechanical Engineering from Eastern Mediterranean University (2022), an M.Sc. from Amirkabir University of Technology (2012), and a B.Sc. from Shahid Rajaee Teacher Training University (2007). His academic work bridges theoretical advancements in numerical methods (e.g., variational iteration, finite element analysis) with practical industrial challenges in machining, robotics, and sustainability. His recent publications (2023–2025) emphasize AI-driven solutions for Industry 4.0, including blockchain-enabled supply chains, smart manufacturing systems, and virtual machining analytics. He has also contributed to studies on tool wear prediction, thermal management in titanium alloy machining, and sustainable CNC operations. Administrative roles and grants are not detailed in the provided text, but his involvement in academic leadership and collaborative research projects is implied through his active publication record and institutional affiliation.

• Computer Vision
• Robotics
• Quantum Computing
• +۳ مورد دیگر

Professor Tat-Jun Chin holds the SmartSat CRC Professorial Chair at the University of Adelaide's School of Computer and Mathematical Sciences within the Faculty of Sciences, Engineering and Technology. His research focuses on advanced robotics, computer vision, quantum computing, and space technology applications. He leads the Sentient Satellites Lab, pioneering work in event-based vision systems, satellite pose estimation, and neuromorphic computing. Notable contributions include robust algorithms for spacecraft navigation, quantum-inspired optimization methods, and open datasets for space robotics. His recent publications emphasize interdisciplinary applications, such as event-camera-based star tracking, geometric crater analysis for lunar missions, and quantum computing for robust fitting. He is actively involved in the Asian Conference on Computer Vision (ACCV) and collaborates with industry partners like SmartSat CRC. Awards and grants are not explicitly listed here, but his professorial chair indicates significant research funding. He supervises a dynamic research group advancing autonomous systems and space exploration technologies.

• Robotics
• Control Systems
• Nonholonomic Systems
• +۲ مورد دیگر

Adam Ratajczak is a Researcher at the Department of Control Systems and Mechatronics, Faculty of Information and Communication Technology, Wrocław University of Science and Technology. His work focuses on robotics, control systems, and nonholonomic motion planning. Research Interests: Nonholonomic robotic systems Jacobian motion planning algorithms Kinematic calibration Space manipulator dynamics Fuzzy logic control systems Selected Publications Trends: His research spans 2013-2025, with emphasis on nonholonomic robotics, trajectory optimization, and calibration techniques. Keywords include Robotics, Control Theory, and Algorithm Design. Subfields cover Nonholonomic Constraints, Jacobian Methods, and Space Docking. Labs & Teams: Affiliated with Wrocław University of Science and Technology's robotics research groups.

Masakazu Soshiمشاهده پروفایل

استاد

• Manufacturing systems
• CNC machine tools
• Mechatronics design and analysis
• +۵ مورد دیگر

Professor Masakazu Soshi is a faculty member in the Department of Mechanical and Aerospace Engineering at the University of California Davis, affiliated with the College of Engineering. He leads the Advanced Research for Manufacturing Systems (ARMS) Laboratory, focusing on improving machining and additive manufacturing processes for advanced CNC machine tool systems. His research integrates computational analysis, experimental validation, and hardware development to enhance manufacturing productivity and cost-effectiveness. Research interests include manufacturing systems , CNC machine tools , mechatronics design , additive manufacturing , and high-performance machining . The ARMS Lab specifically addresses challenges in Directed Energy Deposition (DED), hybrid manufacturing processes, and precision machine tool component design. Key projects involve optimizing material deposition rates, residual stress management, and real-time control systems for additive processes. Recent publications emphasize DED process control , hybrid additive-subtractive systems , and manufacturing system integration . His work bridges computational modeling (e.g., conforming mesh simulations) with practical hardware innovations (e.g., dynamic powder splitters). No notable awards or grants are explicitly listed, though his lab's website (http://arms.engr.ucdavis.edu) highlights ongoing collaborations and applied research. Professor Soshi's lab maintains a strong focus on industrial applications, such as improving machine tool guideways via CBN hard milling and developing high-torque spindle systems for aerospace materials. His research also extends to robotic-assisted surgical toolpath optimization and advanced cooling methods for hybrid CNC machines.