MS Process Systems Engineering
Department of Chemical Engineering is offering undergraduate and post graduate programs in Chemical Engineering and Energetic Materials Engineering since its inception in 2006. To complement the requirement of engineers with a background in Process Systems Engineering (PSE), the Department of Chemical Engineering SCME is planning to start a new program “MS in Process Systems Engineering (PSE)” from 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, computer science and applied mathematics science. It deals with the inherent complexity of chemical processes and the multi-objective nature of decision-making during the lifecycle of the manufacturing process of chemical products. Process Systems Engineering is a relatively young area in chemical engineering. The first time that this term was used was in a Special Volume of the American Institute of Chemical Engineers (AlChE) 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.
World-Wide PSE-based Established Research Groups
PSE is now an active area of teaching and research in many countries, particularly in the US, UK, European countries, Japan, Korea, China and Malaysia. Since 1992 Europe hosts the annual ESCAPE meeting (European Symposium of Computer Aided Process Engineering). Another series of conferences sponsored by AlChE and other partners on the subject of PSE is held every three years rotating between Asia, Europe, North and South America.
- Process Systems Engineering Laboratory, Kyoto University, Japan
- The Process Systems Engineering Laboratory, MIT, USA
- Centre for Process Systems Engineering, Imperial College London, UK
- Process Systems Engineering Laboratory, NTNU, Norway
- Process Systems Engineering Laboratory, Max Plank Institute, Germany
- Computer Aided Process Engineering Centre, DTU, Denmark
- Process Systems Engineering Centre (PROSPECT), UTM, Malaysia
Outcomes of the program
The students will acquire:
State-of-the-art knowledge related to PSE from a techno-economic and environmental perspective.
Perform molecular modeling of chemical processes to optimize operational parameters for lab scale experiments as well as industrial scale implementation.
Realize efficient monitoring, control, and optimization of industrial units as well as factors related to supply chain management.
Objectives of the program
This curriculum 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 a state of the art research and ability to work in multidisciplinary teams.
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.
The SCME PSE group aims to focus on the following three areas of research:
Intelligent monitoring, control and optimization of chemical plants.
Intelligent planning and scheduling the operational procedure of industrial units.
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.
- Dr Arshad Hussain is Principal/Dean of School of Chemical and Materials Engineering (SCME). He did his MS and PhD in Chemical Engineering from Germany. He has worked as Postdoctoral Fellow at Center of Marine CNG, St Johns Canada and as Senior Researcher at NTNU Trondheim, Norway. Hid research work is focused on the characterization, modeling and simulation of different inorganic membranes, thermo-physical and fluid phase analysis under varied process conditions, and process design & feasibility analysis of CO2 Capture from Natural Gas/Flue Gases.
- Dr. Iftikhar A. Salarzai is a graduate of Kyoto University, Japan, currently working as an Assistant Professor at SCME, NUST Pakistan. He has several years’ experience of modeling and simulation for fault diagnosis and process control of top class Japanese Industries. He received the outstanding paper award of 2014 in the PSE domain from the Society of Chemical Engineers, Japan. He also won the ORIC Innovation Award at the Conference on Sustainability in Process Industries (SPI-16), Peshawar, Pakistan. His work focuses on prediction and control, fault diagnosis systems, uncertainty quantification, and automation of process energy management.
- Dr. Muhammad Ahsan is a graduate of National University of Sciences & Technology (NUST), Islamabad, Pakistan, currently working as an Assistant Professor at SCME, NUST Pakistan. His current research work involves projects like process modeling and simulation of membrane gas separation, numerical modeling of combustion dynamics in coal gasification and catalytic combustion of hydrocarbons.
- Dr. Muhammad Taqi Mehran joined SCME, NUST as Assistant Professor after completing Ph.D. in Advanced Energy Technology from Korea University of Science and Technology (UST), South Korea. During his Ph.D. research, Dr. Mehran worked on CFD based design of 1kW-class solid oxide fuel cells power generation system in collaboration with STX, Korea and Korea Institute of Energy Research (KIER). He received Best Researcher Award (2016) of Korea Institute of Energy Research (KIER) and Research Excellence Award (2017) of UST, Korea for his research achievements. His current research interests include the optimization of electrochemical energy conversion and storage systems by using numerical tools, and design of efficient electrochemical catalysts (for ORR and OER reactions) by using density functional theory (DFT) calculations.
- Dr. Muhammad Nouman Aslam Khan did his PhD in Mathematics from CIIT, Islamabad, Pakistan. With an almost 9 years of teaching experience of mathematics courses at University level, his research areas are mainly focused on functional analysis and optimization. He particularly remained part of projects in modeling and simulation techniques using finite difference and finite element methods.
Dr. Iftikhar A. Salarzai
Phone #: +92 5190855108
Venue: SCME, NUST, Campus, H-12
*May 10, 2019