2021 - IEEE Fellow For contributions to theory and applications of human-machine systems
Honghai Liu mainly focuses on Nuclear physics, Particle physics, Large Hadron Collider, Atlas detector and Lepton. His research in Nuclear physics intersects with topics in Quantum chromodynamics and Atlas. His study in Pair production, Boson, Top quark, Higgs boson and Supersymmetry is carried out as part of his Particle physics studies.
His study in Large Hadron Collider is interdisciplinary in nature, drawing from both Standard Model, Muon, Monte Carlo method and Invariant mass. His work deals with themes such as Transverse momentum, Charged particle, Pseudorapidity and Photon, which intersect with Atlas detector. The Lepton study combines topics in areas such as Neutrino and Branching fraction.
Honghai Liu mainly focuses on Particle physics, Nuclear physics, Large Hadron Collider, Artificial intelligence and Atlas detector. His studies examine the connections between Particle physics and genetics, as well as such issues in Lepton, with regards to Branching fraction. His Nuclear physics research includes themes of Supersymmetry and Atlas.
His research investigates the link between Large Hadron Collider and topics such as Muon that cross with problems in Electron. His Artificial intelligence research incorporates themes from Computer vision and Pattern recognition. His research integrates issues of Production, Transverse momentum and Electroweak interaction in his study of Atlas detector.
Particle physics, Large Hadron Collider, Artificial intelligence, Atlas detector and Gesture recognition are his primary areas of study. Honghai Liu works mostly in the field of Particle physics, limiting it down to topics relating to Lepton and, in certain cases, Pair production, as a part of the same area of interest. Nuclear physics covers Honghai Liu research in Large Hadron Collider.
His work in the fields of Nuclear physics, such as Quark–gluon plasma, overlaps with other areas such as Jet. His Artificial intelligence study combines topics from a wide range of disciplines, such as Computer vision and Pattern recognition. The various areas that he examines in his Atlas detector study include Top quark, Production, Sign and Fiducial marker.
His scientific interests lie mostly in Large Hadron Collider, Particle physics, Atlas detector, Lepton and Muon. To a larger extent, Honghai Liu studies Nuclear physics with the aim of understanding Large Hadron Collider. The Quark–gluon plasma and Hadron research Honghai Liu does as part of his general Nuclear physics study is frequently linked to other disciplines of science, such as Resonance, therefore creating a link between diverse domains of science.
The Lepton study which covers Parton that intersects with Channel, Charged particle and Fragmentation. Honghai Liu has included themes like Rapidity and Electron in his Muon study. Honghai Liu combines subjects such as Fermion and Branching fraction with his study of Higgs boson.
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DLR-Hand II: next generation of a dextrous robot hand
J. Butterfass;M. Grebenstein;H. Liu;G. Hirzinger.
international conference on robotics and automation (2001)
Adaptive Sliding-Mode Control for Nonlinear Active Suspension Vehicle Systems Using T–S Fuzzy Approach
Hongyi Li;Jinyong Yu;C. Hilton;Honghai Liu.
IEEE Transactions on Industrial Electronics (2013)
Prediction of linear B-cell epitopes using amino acid pair antigenicity scale
J. Chen;H. Liu;J. Yang;K.-C. Chou.
Amino Acids (2007)
Reliable Fuzzy Control for Active Suspension Systems With Actuator Delay and Fault
Hongyi Li;Honghai Liu;Huijun Gao;Peng Shi.
IEEE Transactions on Fuzzy Systems (2012)
Multisensory five-finger dexterous hand: The DLR/HIT Hand II
H. Liu;K. Wu;P. Meusel;N. Seitz.
intelligent robots and systems (2008)
Navigation Technologies for Autonomous Underwater Vehicles
L. Stutters;Honghai Liu;C. Tiltman;D.J. Brown.
systems man and cybernetics (2008)
Advances in View-Invariant Human Motion Analysis: A Review
Xiaofei Ji;Honghai Liu.
systems man and cybernetics (2010)
Neural-Network-Based Decentralized Adaptive Output-Feedback Control for Large-Scale Stochastic Nonlinear Systems
Qi Zhou;Peng Shi;Honghai Liu;Shengyuan Xu.
systems man and cybernetics (2012)
State of the Art in Vehicle Active Suspension Adaptive Control Systems Based on Intelligent Methodologies
Jiangtao Cao;Honghai Liu;Ping Li;D.J. Brown.
IEEE Transactions on Intelligent Transportation Systems (2008)
The modular multisensory DLR-HIT-Hand
H. Liu;P. Meusel;N. Seitz;B. Willberg.
Mechanism and Machine Theory (2007)
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