What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- Mathematical optimization
His primary scientific interests are in Mathematical optimization, Operations research, Transport engineering, Scheduling and Stochastic programming.
The concepts of his Mathematical optimization study are interwoven with issues in Network planning and design and Algorithm.
His work deals with themes such as Customer satisfaction and Taxis, which intersect with Operations research.
Der-Horng Lee works mostly in the field of Transport engineering, limiting it down to topics relating to Smart card and, in certain cases, Simulation, Schedule and Service.
His Scheduling study frequently draws connections to adjacent fields such as Integer programming.
His Job shop scheduling study incorporates themes from Genetic algorithm and Quay crane.
His most cited work include:
- Short-term freeway traffic flow prediction : Bayesian combined neural network approach (319 citations)
- Short-term freeway traffic flow prediction : Bayesian combined neural network approach (319 citations)
- A HEURISTIC APPROACH TO LOGISTICS NETWORK DESIGN FOR END-OF-LEASE COMPUTER PRODUCTS RECOVERY (233 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Transport engineering, Operations research, Mathematical optimization, Simulation and Scheduling.
His research integrates issues of Real-time data and Smart card in his study of Transport engineering.
His Operations research research incorporates themes from Network planning and design, Genetic algorithm, Schedule, Transportation planning and Customer satisfaction.
His Mathematical optimization research is multidisciplinary, incorporating perspectives in Convergence and Job shop scheduling.
His study looks at the intersection of Simulation and topics like Global Positioning System with Constant false alarm rate.
In his work, Transshipment is strongly intertwined with Integer programming, which is a subfield of Scheduling.
He most often published in these fields:
- Transport engineering (31.48%)
- Operations research (30.25%)
- Mathematical optimization (27.16%)
What were the highlights of his more recent work (between 2014-2020)?
- Transport engineering (31.48%)
- Operations research (30.25%)
- Public transport (11.73%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Transport engineering, Operations research, Public transport, Smart card and Representation.
His Travel behavior study in the realm of Transport engineering interacts with subjects such as Operating cost, Poison control and On demand.
His Operations research study combines topics from a wide range of disciplines, such as Network planning and design, Key and Integer programming.
His research in Network planning and design tackles topics such as Robustness which are related to areas like Personal rapid transit and Simulation.
His Personal rapid transit research is multidisciplinary, relying on both Tabu search, Mathematical optimization, Queue and Queueing theory.
His Smart card research integrates issues from Transfer, Crowds and Scheduling.
Between 2014 and 2020, his most popular works were:
- An integrated Bayesian approach for passenger flow assignment in metro networks (67 citations)
- Microsimulation of Demand and Supply of Autonomous Mobility On Demand (51 citations)
- Tactical berth and yard template design at container transshipment terminals: A column generation based approach (43 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Computer network
His scientific interests lie mostly in Operations research, Transport engineering, Integer programming, Poison control and Software deployment.
The Operations research study combines topics in areas such as Computer security and Reliability.
His Transport engineering research includes themes of Environmental economics, Mathematical optimization and Bayesian probability.
Der-Horng Lee has researched Integer programming in several fields, including Linear programming, Multi-objective optimization, Hazardous waste and Total cost.
Poison control combines with fields such as Network planning and design, Credible interval, Statistical inference, Bayesian inference and Smart card in his research.
His studies in Software deployment integrate themes in fields like Automotive engineering and Service.
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