Dr. Salman Sagheer

PROFILE SUMMARY

Dr. Salman Warsi received his PhD in Design and Manufacturing Engineering from NUST, Pakistan and Masters in Design, Manufacture Management from University of Durham, UK. He has been an integral part of CUST since 2011. Before entering academia, he gained significant experience at Atlas Engineering Limited (AEL), Karachi, serving in various capacities within the Aluminium Products and Engineering & Development (E&D) Department. Alongside his teaching commitments, Dr. Warsi actively contributed to the lab development in the ME Department. Presently, he holds the role of Curriculum Coordinator, diligently aligning the ME curriculum with PEC and HEC guidelines. Dr. Salman Warsi’s research focuses on sustainable optimization of manufacturing processes and systems contributing towards UN-defined SDGs. He has authored multiple publications on sustainability-based analysis of machining processes and Sustainable Supply Chain Management (SSCM) in reputable journals. Currently, Dr. Warsi is supervising students on application of machine learning techniques for human-centered digital twins. He actively engages in diverse R&D projects: his undergrad team excelled in the PSF-sponsored “Low-cost Plastic Waste Recycling Machine” contest. He is also Academic Collaborator on an HEC-funded project for enhanced petroleum recovery using MEOR. His undergrads also obtained PEC funding for development of an autonomous weed detection and removal robot.

QUALIFICATION
PhD	Design and Manufacturing	National University of Science and Technology (NUST), Islamabad, Pakistan	2018
MSc	Design, Manufacture and Management	University of Durham, United Kingdom	2009

TEACHING EXPERIENCE
Associate Professor	Capital University of Science and Technology, Islamabad	Since – 2022
Assistant Professor	Capital University of Science and Technology, Islamabad	2011 – 2021

Industrial Experience
Assistant Manager	Atlas Engineering Limited, Karachi, Pakistan	2007 – 2008
Assistant Manager	Atlas Engineering Limited, Karachi Pakistan	2003 – 2007
Trainee Engineer	Allwin Engineering Industries Limited, Karachi, Pakistan	2003

MEMBERSHIP OF PROFESSIONAL BODIES
PEC	Pakistan Engineering Council

RESEARCH AREAS / INTERESTS
1.	Sustainable Supply Chain Management (SSCM)
2.	Sustainability based Analysis of Manufacturing Processes
3.	Development of Process Maps for Manufacturing Processes
4.	Optimization Methods

RESEARCH SUPERVISION
1.	PhD	Human-Centric Digital Twins in Industry
2.	PhD	Development of Decision Support Framework for Sustainable and Resilient Supplier Selection and Order Allocation- Scholar Name : Saheeb A. Kayani – Status: Synopsis defense.
3.	MS	Forecasting using Machine Learning Techniques
4.	MS	An Integrated Approach for Sustainable Site Selection and Operations Management for Infectious Waste Disposal
5.	MS	Sustainable Supplier Selection and Order Allocation Using Fuzzy MCDM and Multi objective Optimization
6.	MS	Experimental and Numerical Analysis of Electromagnetic Forming of Al- 6061 Alloy Sheets
7.	MS	Fabrication of AA7075-ZrB2/B4C Surface Composites using Friction Stir Processing
8.	MS	Study of Consumer behavior towards adoption of Renewable Energy Technologies using Technology Acceptance theories (TAM, TPB) coupled with Structural Equation Modelling
9.	MS	Experimental and Numerical Investigation of Mechanical properties of 3D printed Ti-6Al-4V Lettuce Architecture

JOURNAL PUBLICATIONS
Kayani, S.A., Warsi, S.S., Liaqait, R. A., A Smart Decision Support Framework for Sustainable and Resilient Supplier Selection and Order Allocation in the Pharmaceutical Industry, Sustainability. 2023; 15(7):5962.
Liaqait, R.A., Warsi, S.S., Zahid, T., Ghafoor, U., Ahmad, M.S. and Selvaraj, J., 2021. A Decision Framework for Solar PV Panels Supply Chain in Context of Sustainable Supplier Selection and Order Allocation. Sustainability, 13(23), p.13216.
Zahid, T., Agha, M.H., Warsi, S.S. and Ghafoor, U., 2021. Redefining Critical Tasks for Responsive and Resilient Scheduling-an Intelligent Fuzzy Heuristic Approach. IEEE Access, 9, pp.145513-145521.
Warsi, S.S., Zahid, T., Elahi, H., Liaqait, R.A., Bibi, S., Gillani, F. and Ghafoor, U., 2021. Sustainability-based analysis of conventional to high-speed machining of Al 6061-T6 alloy. Applied Sciences, 11(19), p.9032.
Liaqait, R.A., Hamid, S., Warsi, S.S. and Khalid, A., 2021. A critical analysis of job shop scheduling in context of industry 4.0. Sustainability, 13(14), p.7684.
Liaqait, R.A., Warsi, S.S., Agha, M.H., Zahid, T. and Becker, T., 2021. A multi-criteria decision framework for sustainable supplier selection and order allocation using multi-objective optimization and fuzzy approach. Engineering Optimization, pp.1-22.
Warsi, S.S., Ahmad, R., Jaffery, S.H.I., Agha, M.H. and Khan, M., 2020. Development of specific cutting energy map for sustainable turning: a study of Al 6061 T6 from conventional to high cutting speeds. The International Journal of Advanced Manufacturing Technology, 106(7), pp.2949-2960.
Liaqait, R.A., Agha, M.H., Warsi, S.S., Case Study On The Competitiveness Comparisons Of Karachi Port With The Neighboring Emerging Ports In Persian Gulf And Indian Ocean, NUST Business Review, Issue 1, Volume 2, 2020.
Khan, M.A., Jaffery, S.H.I., Khan, M., Younas, M., Butt, S.I., Ahmad, R. and Warsi, S.S., 2020. Multi-objective optimization of turning titanium-based alloy Ti-6Al-4V under dry, wet, and cryogenic conditions using gray relational analysis (GRA). The International Journal of Advanced Manufacturing Technology, 106(9), pp.3897-3911.
Ali Khan, M., Jaffery, S.H.I., Khan, M., Younas, M., Butt, S.I., Ahmad, R. and Warsi, S.S., 2019. Statistical analysis of energy consumption, tool wear and surface roughness in machining of Titanium alloy (Ti-6Al-4V) under dry, wet and cryogenic conditions. Mechanical Sciences, 10(2), pp.561-573.
Warsi, S.S., Agha, M.H., Ahmad, R., Jaffery, S.H.I. and Khan, M., 2019. Sustainable turning using multi-objective optimization: a study of Al 6061 T6 at high cutting speeds. The International Journal of Advanced Manufacturing Technology, 100(1-4), pp.843-855.
Warsi, S.S., Jaffery, S.H.I., Ahmad, R., Khan, M., Ali, L., Agha, M.H. and Akram, S., 2018. Development of energy consumption map for orthogonal machining of Al 6061-T6 alloy. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 232(14), pp.2510-2522.
Warsi, S.S., Jaffery, S.H.I., Ahmad, R., Khan, Agha, M.H. and Liaqat, A., 2018. Development and analysis of energy consumption map for high-speed machining of Al 6061-T6 alloy. The International Journal of Advanced Manufacturing Technology, 96(1-4), pp.91-102.

CONFERENCE PUBLICATIONS
Khan, M., Warsi, S.S., Jaffery, S.H.I., Ahmad, R. and Younas, M., 2019. Analysis of Energy Consumption in Orthogonal Machining of Al 6061-T6 Alloy. In Advances in Manufacturing Technology XXXIII (pp. 327-333). IOS Press.
Akram, S., Imran, H., Khan, M., Mubashar, A., Warsi, S. and Riaz, U., 2016, April. A numerical investigation and experimental validation on chip morphology of aluminum alloy 6061 during orthogonal machining. In 2016 Moratuwa Engineering Research Conference (MERCon) (pp. 331-336). IEEE.
Warsi, S.S., Jaffery, H.I., Ahmad, R., Khan, M. and Akram, S., 2015, November. Analysis of power and specific cutting energy consumption in orthogonal machining of Al 6061-T6 alloys at transitional cutting speeds. In ASME International Mechanical Engineering Congress and Exposition (Vol. 57366, p. V02BT02A057). American Society of Mechanical Engineers.

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