Experience

Quantolio

• Canada
• Software Development
• 1 - 100 Employee

• Research Scientist

  • May 2023 - Present

  Power consumption management in buildings. In particular, AI-based Model Predictive Control for Energy Management in Smart Buildings. Power consumption management in buildings. In particular, AI-based Model Predictive Control for Energy Management in Smart Buildings.



Polytechnique Montréal

• Canada
• Higher Education
• 700 & Above Employee

• Research Assistance: Building Automation Control

  • Sep 2013 - May 2019

  I developed solutions for demand response (DR) management in smart buildings using Model Predictive Controls. The proposed MPC control techniques were implemented on HVAC systems to reduce power consumption while maintaining the occupant’s comfort’ and taking into account restrictions such as quality of service and operational constraints. My work consisted of three main components: 1. Power Admission Control for thermal appliances in smart buildings: I formulated the scheduling of thermal devices operation using a DEVS framework, which allowed for the systematic modeling and design of admission control and ensured the existence of feasible scheduling prior to exploring control solutions. I also developed two algorithms for peak demand reduction. 2. Decentralized Model Predictive Control of thermal appliances in Discrete-Event Systems framework I established a new structure to implement decentralized model predictive control (DMPC). The proposed structure consisted of a set of local MPC controllers and a game-theoretic supervisory control to coordinate the operation of thermal appliances in smart buildings within a DEVS framework. The results showed that the developed control scheme would be able to achieve a significant reduction in peak power consumption while providing adequate temperature regulation performance. 3. Nonlinear Model Predictive Control for ventilation systems in smart building I evaluated the application of nonlinear MPCs to control the ventilation flow rate in a building using a carbon dioxide predictive model. I used a local convex approximation to cope with the nonlinearity of the control constraints while ensuring feasibility and convergence of system performance. Show less



Fusion Energy inc.

• Canada
• Construction
• 1 - 100 Employee

• Internship (Energy Efficiency HVAC)

  • Jun 2018 - Oct 2018

  • Applied the model predictive control (MPC) technique to a residential building to improve energy efficiency and to reduce operational costs. • Applied a control scheme to thermal appliances to maintain thermal comfort within range of a set point while reducing the peak consumption • Located and validated a building’s thermal model to be used for the MPC design. • Applied the model predictive control (MPC) technique to a residential building to improve energy efficiency and to reduce operational costs. • Applied a control scheme to thermal appliances to maintain thermal comfort within range of a set point while reducing the peak consumption • Located and validated a building’s thermal model to be used for the MPC design.



Fusion Energy inc.

• Canada
• Construction
• 1 - 100 Employee

• Internship (Energy Efficiency (HVAC control))

  • 2014 - 2014

  • Designed and tested a Power Admission Control algorithm for power consumption management in a smart building. • Implemented an algorithm to reduce the peak power demand while regulating a building’s heating system and ensuring occupant comfort. • Implemented another algorithm to control a building’s indoor temperature with less power consumption. • Designed and tested a Power Admission Control algorithm for power consumption management in a smart building. • Implemented an algorithm to reduce the peak power demand while regulating a building’s heating system and ensuring occupant comfort. • Implemented another algorithm to control a building’s indoor temperature with less power consumption.



College of Electronic Technology

• Baniwaleed,Libya

• Head of Control Engineering Department

  • Jan 2012 - Jul 2012

  At this position my role was to: • Monitor, led, and manage a department containing 12 staff members and 40 to 50 students. • Develop and implement strategic plans for the department and conduct staff evaluations. • Teach courses for students • Conduct and supervise innovative control engineering and instrumentation research projects. At this position my role was to: • Monitor, led, and manage a department containing 12 staff members and 40 to 50 students. • Develop and implement strategic plans for the department and conduct staff evaluations. • Teach courses for students • Conduct and supervise innovative control engineering and instrumentation research projects.



College of Engineering, Baniwaleed, Libya (Formerly:Higher Institute of Comperhensive Profession)

• Baniwaleed, Libya

• Instructor

  • Mar 2009 - Dec 2011

  • Organized, planned and taught courses such as Math I, Math II, Control Engineering and Measurement Control, addressing students needs and adapting my teaching method to different learning styles. • Conducted and supervised innovative research projects, which involved applying different control schemes, such as Proportional, Integral, and Derivative (PID) control, Programmable Logic Control (PLC), and ON/OFF control to different plans and systems, including DC motors, heating systems, and washing machines. • Counseled students regarding future academic and professional options in the field. Show less



College of Electronic Technology

• Baniwaleed, Libya

• Lab technician

  • Jul 2003 - Sep 2009

  During this period, I gained a diverse experience working in Measurement and Instrumentation, Digital Control and Computer Control, Programmable Logic Controller (PLC), and Control Engineering labs. I refined my skills at using and testing sensors and transducers and at implementing analog and digital control techniques to regulate DC motors, tank control level, servo controls, and pneumatic and hydraulic systems. My tasks included: Preparing both theory and practical elements of experiments. Testing all equipment and calibrating sensors and transducers. Evaluating student performance, correcting experiment reports, and giving exams. Implementing different control techniques, such as PID, Lead Lag Control, and PLC both on real systems and over Matlab and Simulink. Show less