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 MS Process Systems Engineering​

MS Process Systems Engineering

Fall 2020

The School of Chemical and Materials Engineering (SCME) National University of Sciences and Technology (NUST)

Department of Chemical Engineering, School of Chemical and Materials Engineering (SCME), National University of Sciences and Technology is ranked Number 1 in Pakistan in 2020 by QS ranking. The department is offering undergraduate and postgraduate programs in Chemical Engineering and Energetic Materials Engineering since its inception in 2006.  

To complement the requirement of engineers with a background in Computer-Aided Process Design and Operations, the Department has been offering a Postgraduate program “MS Process Systems Engineering (PSE)” since Fall 2018. The program is approved by the Higher Education Commission (HEC) and is the first MS degree program in PSE being offered by any university in Pakistan.

PSE is a largely mature and well-established discipline of chemical engineering. PSE has evolved into a specialized field at the interface of chemical engineering, applied mathematics, and computer science. It deals with the inherent complexity of chemical processes and the multi-objective nature of decision-making during the lifecycle of the manufacturing processes.

Process Systems Engineering is a relatively young area in chemical engineering. The term was first time used in a Special Volume of the American Institute of Chemical Engineers Symposium Series in 1961. However, it was not until 1982 when the first international symposium on this topic took place in Kyoto, Japan, that the term PSE started to become widely accepted.

PSE is now an active area of teaching and research in US, UK, European countries, Japan, Korea, China, and Malaysia. Since 1992 Europe hosts the annual meeting European Symposium of Computer Aided Process Engineering (ESCAPE). Another series of conferences sponsored by the American Institute of Chemical Engineer and other partners on the subject of PSE is held every three years rotating between Asia, Europe, North and South America.

 

Outcomes of the program

The program’s graduates will acquire:

• knowledge related to PSE from a techno-economic and environmental perspective

• skills to perform molecular modeling of chemical processes to optimize operational parameters for lab-scale experiments as well as industrial-scale implementation

• ability to realize efficient monitoring, control, and optimization of industrial units as well as factors related to supply chain management

 

Objectives of program

The curriculum of the program is designed to:

• Strengthen the students’ knowledge in process design, optimization and control, and its application in sustainable industrial operations

• Enhance technical knowledge to address contemporary problems in an industrial setting

• Encourage state-of-the-art research and the ability to work in multidisciplinary teams

Curriculum Design

The student will have to take four core courses and four elective courses listed below:

 

Core Courses

Process Systems Theory

Optimization and Decision Analysis

Advanced Process Dynamics and Control

Process Modeling and Simulation

Elective Courses

Computational Fluid Dynamics (CFD)

Supply Chain Management

Numerical Methods for ChE

Process Intensification

Advanced Process Energy Analysis & Optimization

Momentum Heat and Mass Transfer (MHMT) in Chemical Engg.

Wastewater treatment & Design

Chemical Kinetics & Reactor Design

Product Technology

Biofuel Engineering

Thesis

Master Thesis Research

 

 

Eligibility Criteria

Students having BE (16 years education) degree in the following disciplines are eligible: Chemical Engineering, Petroleum Engineering, Mechanical Engineering, Environmental Engineering, Polymers Engineering or Materials Engineering


Collaboration

The PSE SCME has established collaboration with national and international research groups and related organization such as

  • United Nations Industrial Development Organization Pakistan
  • National Energy Efficiency and Conservation Authority
  • Oil and Gas Development Company Limited,
  • Attock Refinery Limited (ARL)
  • Nordic Systems Engineering, Sweden
  • Lean Automation Company, UAE
  • Energy Systems (ENSYS) Lab, Linkoping University, Sweden
  • Human Systems Engineering Lab, Kyoto University, Japan
  • Soft Matter Engineering Laboratory, Kyoto University, Japan,
  • Supply Chain and Logistics Group, Hamad Bin Khalifa University, Qatar

  Faculty Achievements

The program team is comprised of highly qualified faculty with numerous achievements such as

  • The outstanding paper award in the PSE domain from the Society of Chemical Engineers, Japan
  • ORIC Innovation Award in Sustainability in Process Industries, Pakistan
  • Best Researcher Award of Korea Institute of Energy Research, Korea
  • Research Excellence Award of UST, Korea
  • National Research Program (NRPU) grant from the Higher Education Commission 2016
  • National Research Program (NRPU) grant from the Higher Education Commission 2017
  •  Sponsored by Korea Advanced Institute of Science and Technology for Short Term Research Visit, 2019
  • Fellowship from Japan Student Services Organization (JASSO)in in 2020 for short term research visit to Kyoto University, Japan

​Events

The PSE SCME strives to organize provided a platform to national and international experts to share their knowledge about new trends and challenges in process design, operation, and control. In this context, an international symposium was held on October 2, 2019, with the title “International Symposium on Computer Applications in Process Industry (iSCAPE-19)”. International experts who participated in the event included Dr. Sanghong Kim and Dr. Jesus Rafael Alcantara-Avila from Kyoto University Japan and Dr. Brenno C Menezes from Hamad Bin Khalifa University Qatar. Besides, several experts from different parts of the country presented their work in the event.

The PSE SCME also organized a workshop on October 3 and 4 2019 with a title “Modeling and Simulation Software for Process Industry (MOSSPI-19)” to train people from academia as well as industry on the most prominent process modeling and simulation software, i.e., MATLAB, Computational Fluid Dynamics (CFD) and Aspen HYSYS/Plus, for industry-based research and development projects.

 

Research Domain

 

The PSE SCME group aims to focus on the following three areas of research:

i)             Intelligent monitoring, control and optimization of chemical plants

ii)            Intelligent planning and scheduling the operational procedure of industrial units

iii)           Molecular level design of chemical processes to identify optimized operational parameters for lab scale experiments, and achieve desired physical and chemical properties for their industrial applications

At the moment, Twenty-six MS and three Ph.D. students are working in process modeling and simulation in the PSE research group. The group has published a total of 39 journal papers and 18 conference proceedings in the PSE domain. Some notable projects accomplished by the PSE team are:

 

Accomplished Projects by PSE NUST Team

Application Domain

Drivers and Barriers to Realizing Energy Efficient Operation of Manufacturing Sector

Iron and Steel Sector

Artificial Intelligence Method in Cut-point Temperature Optimization of Distillation Colum

Petroleum Refinery

 

Virtual Sensing of Gasoline Quality in Naphtha Reforming Process

Hybrid modeling for Estimation and Optimization of Energy Efficiency Naphtha Reforming Process

Membrane Reactor Design in through Aspen Excel Interfacing

Micro-reactor Design in Computational Fluid Dynamics Environment

Artificial Intelligence Method for Coping with Uncertainty in Shale Gas Production Process

Oil and Gas Exploration

Computational Analysis of Fluid Flow in an Annulus for the Drilling of Oil and Gas Wells

Aspen and MATLAB based Design and Optimization of Plate type Heat exchanger

Soda Ash Plant

Machine Learning application in Prediction of Carcinogenicity of Drugs

Drug Discovery

Computational Analysis of Flow Regulatory Mechanism in Artificial Kidney

Medical Equipment

Data-driven Models for Estimation of Composition of Flue Gases

Cement Industry

Product Quality Estimation and Analysis of Biodiesel Production from Vegetable Oil

Bio-energy Sector

Virtual Analysis of Yield and Environmental Impact of Entrained Coal Gasification Process

Power Plant

 


Contact Person:

Dr. Iftikhar Ahmad

E-mail: iftikhar.salarzai@scme.nust.edu.pk

Phone #: +92 5190855108

Venue: SCME, NUST, Campus, H-12,

Islamabad, Pakistan.

 

Registration Deadline

July 15, 2020


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