What is he best known for?
The fields of study he is best known for:
- Statistics
- Mathematical optimization
- Organic chemistry
Iftekhar A. Karimi mainly investigates Mathematical optimization, Scheduling, Linear programming, Supply chain and Scheduling.
His Mathematical optimization research is multidisciplinary, incorporating elements of Bilinear interpolation, Nonlinear programming and Isothermal process.
His research on Scheduling also deals with topics like
- Refinery, which have a strong connection to Algorithm,
- Fair-share scheduling, which have a strong connection to Tardiness.
His work on Supply chain management as part of general Supply chain research is frequently linked to Decision analysis cycle, thereby connecting diverse disciplines of science.
The study incorporates disciplines such as Production planning and Operations research in addition to Scheduling.
His studies examine the connections between Operations research and genetics, as well as such issues in Heat exchanger, with regards to Natural gas.
His most cited work include:
- Agent-based supply chain management—1: framework (196 citations)
- A simpler better slot-based continuous-time formulation for short-term scheduling in multipurpose batch plants (154 citations)
- Planning and scheduling of parallel semicontinuous processes. 1. Production planning (132 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Mathematical optimization, Scheduling, Process engineering, Supply chain and Liquefied natural gas.
His Mathematical optimization research focuses on Nonlinear programming and how it relates to Heat exchanger network synthesis.
His Scheduling research is multidisciplinary, relying on both Linear programming, Refinery and Job shop scheduling.
As part of the same scientific family, Iftekhar A. Karimi usually focuses on Process engineering, concentrating on Heat exchanger and intersecting with Process integration.
He studied Supply chain and Operations research that intersect with Production.
The concepts of his Liquefied natural gas study are interwoven with issues in Fossil fuel and Petroleum engineering.
He most often published in these fields:
- Mathematical optimization (24.58%)
- Scheduling (17.17%)
- Process engineering (15.82%)
What were the highlights of his more recent work (between 2015-2021)?
- Process engineering (15.82%)
- Liquefied natural gas (10.44%)
- Heat exchanger (7.74%)
In recent papers he was focusing on the following fields of study:
His main research concerns Process engineering, Liquefied natural gas, Heat exchanger, Natural gas and Regasification.
The Process engineering study combines topics in areas such as Power, Work, Energy consumption, Particle swarm optimization and Power station.
His Liquefied natural gas study deals with the bigger picture of Waste management.
His Heat exchanger research incorporates themes from Nonlinear programming and Process integration.
His Nonlinear programming study combines topics in areas such as Sampling and Optimization problem, Mathematical optimization, Surrogate model.
Iftekhar A. Karimi has included themes like Net present value, Efficient energy use, Process and Operations research in his Process integration study.
Between 2015 and 2021, his most popular works were:
- Design of computer experiments: A review (92 citations)
- A Review of Clathrate Hydrate Based Desalination To Strengthen Energy–Water Nexus (73 citations)
- Review on the design and optimization of natural gas liquefaction processes for onshore and offshore applications (61 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Organic chemistry
- Carbon dioxide
Iftekhar A. Karimi mostly deals with Process engineering, Liquefied natural gas, Heat exchanger, Work and Natural gas.
He interconnects Power, Combined cycle, Energy consumption, Power station and Gas compressor in the investigation of issues within Process engineering.
His research in Liquefied natural gas intersects with topics in Liquefaction, Inlet and Process optimization.
His study explores the link between Heat exchanger and topics such as Process integration that cross with problems in Operations research, Nonlinear programming, Network synthesis filters and Work.
His Nonlinear programming study combines topics from a wide range of disciplines, such as Representation, Mathematical optimization, Surrogate model, Algorithm and Series.
His Natural gas study is focused on Waste management in general.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
