Muhammad Saad Qaisar Alvi
Muhammad Saad Qaisar Alvi
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Currently, I am working as a full-time Lecturer at the Department of Computer Science & Information Technology, The Islamia University of Bahawalpur (IUB), Pakistan. I have completed MS in Information Technology from Department of Computing, School of Electrical Engineering and Computer Science (SEECS), NUST, Islamabad, Pakistan in 2018. I was part of CRIMSON Lab where I was working under the supervision of Dr. Imran Mahmood. I did my Bachelor’s in Computer System Engineering from The Islamia University of Bahawalpur, Pakistan.
Contact details
Contact details
Research Interests
Research Interests
Modeling and simulation
Internet of Things (IoT)
Machine Learning
Digital Twins
Job Experience
Job Experience
Lecturer in Computer Science & Information Technology (April 2022 - Present)
The Islamia University of Bahawalpur (IUB), Bahawalpur, Pakistan
Teaching (Fall 2022 - Computer Networks, System & Network Administration, Information Security, Software Project Management)
Advisor Final Year Project
Lecturer in Computer Science & Information Technology (February 2022 - April 2022 )
Teaching (Spring 2022 - Object Oriented Programming)
Lecturer in Computer Science (September 2021 - February 2022 )
Teaching (Fall 2021 - Information and Communication Technologies, Programming Fundamentals)
Lecturer in Computer Science (August 2019 - September 2021)
National University of Sciences and Technology (NUST), Islamabad, Pakistan
Teaching (Spring 2021, Spring 2020: CS212 - Object Oriented Programming)
Teaching (Fall 2020, Fall 2019: CS110/CS114 - Fundamentals of Computer Programming)
Director Local Quality Enhancement Cell (LQEC)
Member of Undergraduate Education Policy (UGEP)
Focal person National Computing Education Accreditation Council (NCEAC)
Coordinator Student Affairs
Lecturer in Computer Science (November 2018 - August 2019)
National College of Business Administration and Economics Multan, Pakistan
Teaching (Fall 2018: Design and Analysis of algorithm - Data structure)
Lecturer in Computer Science (Adjunct ) (August 2018 – May 2019)
Muhammad Nawaz Shareef University of Agriculture Multan, Pakistan
Teaching (Fall 2018: Digital Logic Design - Software project management)
Research Associate (June 2016 - March 2018)
USP-CASW funded project titled "Simulation Modeling and Analysis of Household Water Consumption in Pakistan using Hybrid approach"
USP-CASE funded project titled "Simulation Modeling, Analysis and Forecasting of Electricity generation and consumption in Pakistan using System Dynamics approach"
Internship (February 2017 - March 2018)
Worked as Research Assistant, Teaching Assistant and Lab Administrator
Network Support Officer (Summer 2015)
ANC Gourmet Foods Pvt Ltd Industrial Estate Multan, Pakistan
Supervised the Laying and Fusion Splicing of Fiber Optics
Deployment and managing of Networking Equipment
Research Projects
Research Projects
Idea of urbanization stands under the umbrella of having resilient and sustainable urban infrastructure, that can insure the availability of critical resources. Water being one of the critical resource, needs to be made sustainable and resilient to meet both domestic and commercial requirements in an urban infrastructure. To make water resources sustainable we need to perform modeling and simulation of water in an urban infrastructure. Agent based (AB) and System Dynamics (SD) modeling and simulation technique will be used for forecasting demand profile of household water. Pakistan being water stressed country needs to take steps in effective management and conservation of water resources. In order to achieve the above-mentioned objective, it is necessary to know what is our actual demand and how we can manage to fulfill our demand.
Simulation Modeling, Analysis and Forecasting of Electricity generation and consumption in Pakistan using System Dynamics approach
The SD based simulation provides a framework and a tool for conceptual modeling, simulation and visualization of the future demand and supply of electricity energy in Pakistan. It further allows the modelers to conceptualize and abstract main entities, influencing factors, key parameters and system variables and the dynamic phenomena that have an impact on the demand and supply in any form and investigate their causes and effects using different initial configurations and experimental settings. Our System Dynamics based simulation framework for electricity demand and supply is useful in forecasting future energy demand and therefore plays a very significant role in electric energy planning.
Research Publications
Research Publications
Alvi, M. S. Q., Mahmood, I., Javed, F., Malik, A. W., & Sarjoughian, Hessam. (2018, December). Dynamic behavioural modeling, simulation and analysis of household water consumption in an urban area: a hybrid approach. Published in the Proceedings of 2018 Winter Simulation Conference (WSC) (pp. 2411-2422). IEEE
Haris, M., Mahmood, I., Badar, M., & Alvi, M. S. Q. Modeling safest and optimal emergency evacuation plan for large-scale pedestrians environments. Published in the Proceedings of 2018 Winter Simulation Conference (WSC) (pp. 917-928). IEEE.
Alvi, M. S. Q., Usman, I., Al-Omari, S. M. A., "A digital twin for household water consumption using Agent based modelling" (Submitted).
Attachments
Attachments
MS thesis and its presentation
Publications and paper presentation
Thesis SA20180505(Final).pdfFinal Defense SA20180525.pptxqaisaralvi2018.pdfWSC 18 - Household Water Consumption Simulation.pptxharis2018.pdfWSC 18( Evacuation Plan for Large-scale Pedestrians ).pptxPage updated
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