Siuming Lo focuses on Poison control, Graphene, Nanocomposite, Simulation and Pedestrian. His research integrates issues of Fire retardant and Glass transition in his study of Graphene. His Nanocomposite research is multidisciplinary, incorporating perspectives in Thermogravimetric analysis and Thermal stability.
His Thermogravimetric analysis study combines topics in areas such as Epoxy and Exfoliation joint. His work on Computer simulation as part of general Simulation study is frequently connected to Data modeling, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Pedestrian research is multidisciplinary, relying on both Flow, Intelligent transportation system, Human behavior, Artificial intelligence and Computer vision.
Siuming Lo mainly focuses on Simulation, Pedestrian, Transport engineering, Poison control and Chemical engineering. His Computer simulation study, which is part of a larger body of work in Simulation, is frequently linked to Process, bridging the gap between disciplines. While the research belongs to areas of Pedestrian, Siuming Lo spends his time largely on the problem of Movement, intersecting his research to questions surrounding Headway.
His research investigates the connection with Transport engineering and areas like Process which intersect with concerns in Operations research. The concepts of his Chemical engineering study are interwoven with issues in Glass transition and Polymer chemistry. His Thermogravimetric analysis study frequently involves adjacent topics like Nanocomposite.
His primary areas of investigation include Pedestrian, Simulation, Movement, Headway and Operations research. His Pedestrian research is under the purview of Transport engineering. His work carried out in the field of Simulation brings together such families of science as Crowds, Statistical dispersion and Car following, Traffic flow.
His Movement study integrates concerns from other disciplines, such as Motion, Stairs, Jamming, Aisle and Acceleration. Siuming Lo has included themes like Meteorology and Control theory in his Headway study. His studies in Operations research integrate themes in fields like Scheduling and Selection.
His primary areas of study are Pedestrian, Movement, Simulation, Preferred walking speed and Headway. His Pedestrian research includes themes of Jamming, Elevator, Queueing theory and Stairs. His Stairs study combines topics from a wide range of disciplines, such as Constraint, Traffic volume, Tread and Cellular automaton.
His biological study deals with issues like Acceleration, which deal with fields such as Mathematical analysis, Space and Social force model. He is involved in the study of Simulation that focuses on Computer simulation in particular. His Headway study incorporates themes from Intelligent transportation system, Control theory, Stability, Critical point and Car following.
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Enhanced thermal and flame retardant properties of flame-retardant-wrapped graphene/epoxy resin nanocomposites
Bin Yu;Yongqian Shi;Bihe Yuan;Shuilai Qiu.
Journal of Materials Chemistry (2015)
A game theory based exit selection model for evacuation
S. M. Lo;Hsiu-Chen Huang;Peng Wang;K.K. Yuen.
Fire Safety Journal (2006)
Thermal exfoliation of hexagonal boron nitride for effective enhancements on thermal stability, flame retardancy and smoke suppression of epoxy resin nanocomposites via sol–gel process
Bin Yu;Bin Yu;Weiyi Xing;Wenwen Guo;Shuilai Qiu.
Journal of Materials Chemistry (2016)
An evacuation model: the SGEM package
S. M. Lo;Z. Fang;Peter Lin;GS Zhi.
Fire Safety Journal (2004)
Thermal behavior and failure mechanism of lithium ion cells during overcharge under adiabatic conditions
Jiana Ye;Jiana Ye;Haodong Chen;Qingsong Wang;Peifeng Huang.
Applied Energy (2016)
Functionalized graphene oxide/phosphoramide oligomer hybrids flame retardant prepared via in situ polymerization for improving the fire safety of polypropylene
Bin Yu;Xin Wang;Xiaodong Qian;Weiyi Xing.
RSC Advances (2014)
A Fire Safety Assessment System for Existing Buildings
Siu Ming Lo.
Fire Technology (1999)
Application of evolutionary neural network method in predicting pollutant levels in downtown area of Hong Kong
W.Z. Lu;H.Y. Fan;S.M. Lo.
On the relationship between crowd density and movement velocity
Z Fang;S.M Lo;J.A Lu.
Fire Safety Journal (2003)
Experimental study on an ultra high-rise building evacuation in China
J. Ma;J. Ma;J. Ma;W.G. Song;W. Tian;S.M. Lo.
Safety Science (2012)
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