CEN Student Community Hub

• The application deadline for the 2025/26 academic year is Thursday 2nd of April 2026.
• The applicants must not be involved with any academic dishonesty or misconduct incidents at AUS.
• Application is open only for full-time AUS CEN students during Fall 2025 or Spring 2026 and AUS CEN alumni.
• Awards can be self-nominated unless otherwise stated.
• Applicants are encouraged to provide sufficient evidence that targets each criterion for better chances of winning.
• The award winners in the previous years may not apply to the same award again. They can apply to other CEN Annual Awards instead.
• The CEN holds the right to cancel any award for a particular academic year without prior notice if the selection criteria are not met by any applicant.
• Trophies and Certificates of achievement will be provided to the winners. In addition, winners accomplishment will be highlighted on the CEN website. 
• In addition, 1000AED will be awarded to each winner in the following categories: Undergraduate and Graduate Research Excellence Awards, Outstanding Leadership Award, Outstanding Graduate Teaching Assistant Award and Outstanding Talent Award.

• Curriculum Vitae (2 pages max)
• Two support letters from faculty and/or professionals
• Any additional details or supporting evidence relevant to the intended award, as specified in the application form

Important Note:

Please ensure that your application form, supporting letters and all supporting documents explicitly highlights all the applicable ‘Selection Criteria’ for the award you are applying for, preferably in separate paragraphs. For this, please share the selection criteria with the faculty and/or professionals prior to requesting the letters.

Graduate Student Research, Scholarly, and Creative Work Excellence Award

• Dr. Inas Al Khatib, PhD in Engineering Systems Management
• Dara Varam, Master of Science in Machine Learning

Graduate Student Academic and Leadership Excellence Award

• Ariel Panopio, Master of Science in Machine Learning

Graduate Student Research, Scholarly, and Creative Work Excellence Award

• Dr. Waad Abuwatfa​, PhD in Material Sciences and Engineering
• Habibelrahman Hassan, Master of Science in Civil Engineering

Graduate Student Research, Scholarly, and Creative Work Excellence Award

• Mohamed El Kafrawy​, PhD in Material Sciences and Engineering
• Zahraa Al-Dawood, Master of Science in Civil Engineering

Graduate Student Research, Scholarly, and Creative Work Excellence Award

• Afef Saihi, PhD in Engineering Systems Management
• Ahmed Hamada, Master of Science in Mechanical Engineering

Graduate Student Academic and Leadership Excellence Award

• Dania Abuhalimeh, Master of Science in Construction Management

Graduate Student Research, Scholarly, and Creative Work Excellence Award

• Sara Saboor, PhD in Engineering Systems Management
• Ali R. Sajun, Master of Science in Computer Engineering

Graduate Student Academic and Leadership Excellence Award

• Nada Abdalgawad, Master of Science in Computer Engineering

Graduate Student Research, Scholarly, and Creative Work Excellence Award

• Sakib Shahriar, Master of Science in Computer Engineering

Graduate Student Research, Scholarly, and Creative Work Excellence Award

• Mohammed Elnawawy, Master of Science in Computer Engineering

Graduate Student Research, Scholarly, and Creative Work Excellence Award

• Nouran ElMesalami, Master of Science in Civil Engineering

Graduate Student Academic and Leadership Excellence Award 

• Mohammed Alhusin, Master of Science in Computer Engineering

Graduate Student Research, Scholarly, and Creative Work Excellence Award

• Ragini Gupta, Master of Science in Computer Engineering

Graduate Student Academic and Leadership Excellence Award 

• Haidar Alhaidary, Master of Science in Civil Engineering 

• Chemical Engineering
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• Electrical Engineering
• Industrial Engineering
• Mechanical Engineering

• ​Chemical Engineering
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• Computer Science
• Civil Engineering
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• Industrial Engineering
• Mechanical Engineering

• Chemical Engineering
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• Industrial Engineering
• Mechanical Engineering

• Chemical Engineering
• Computer Engineering
• Computer Science
• Civil Engineering
• Electrical Engineering
• Industrial Engineering
• Mechanical Engineering

• Chemical Engineering
• Computer Engineering
• Computer Science
• Civil Engineering
• Electrical Engineering
• Industrial Engineering
• Mechanical Engineering

• Chemical Engineering
• Computer Engineering
• Computer Science
• Civil Engineering
• Electrical Engineering
• Industrial Engineering
• Mechanical Engineering

• Chemical Engineering and Chemical and Biological Engineering
• Civil Engineering and Digital Construction Engineering and Management
• Computer Engineering
• Computer Science
• Electrical Engineering
• Industrial Engineering
• Intelligent Systems and Mechatronics Engineering
• Mechanical Engineering

• Chemical Engineering and Chemical and Biological Engineering
• Civil Engineering and Digital Construction Engineering and Management
• Computer Engineering
• Computer Science
• Electrical Engineering
• Industrial Engineering
• Intelligent Systems and Mechatronics Engineering
• Mechanical Engineering

• Chemical Engineering and Chemical and Biological Engineering
• Civil Engineering and Digital Construction Engineering and Management
• Computer Engineering
• Computer Science
• Electrical Engineering
• Industrial Engineering
• Intelligent Systems and Mechatronics Engineering
• Mechanical Engineering

• Chemical Engineering and Chemical and Biological Engineering
• Civil Engineering and Digital Construction Engineering and Management
• Computer Engineering
• Computer Science
• Electrical Engineering
• Industrial Engineering
• Intelligent Systems and Mechatronics Engineering
• Mechanical Engineering

This training course provides detailed overview of various aspects of industrial and laboratory safety. Topics include identification and control of physical and chemical hazards, compressed cylinders and regulators, risk assessments, chemical waste disposal, fire risks, and fire fighting.

Course Pre-requisite: None

Date: November 22, 2026

Time: 11:00 AM - 4:00 PM

Instructors: Dr. Ahmed Aidan, Mr. Muhammad Qasim, and Ms. Najla Salkho

Location: EB2 017

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Chemical and Biological Engineering [email protected]

Red Hat System Administration I (RH124) is designed for students who are new to Linux and require core Red Hat Enterprise Linux skills. Focused on administration tasks that will be encountered in the workplace, this course will actively engage students in task-focused activities, lab-based knowledge checks, and facilitative discussions to ensure maximum knowledge and skill transfer and retention. By the end of the course, students will be able to perform installation, establish network connectivity, manage physical storage and perform basic security administration. Students will receive an certificate of attendance from Red Hat Academy upon completion of this course.

The course is open to AUS students and alumni only.

Course Pre-requisite: Operating Systems and Basic Computer Networking

Date: January 4-7, 2027

Time: 9:00 am - 5:00 pm

Location: EB1-0012

Instructors: Mr. Sameer Alawnah 

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Computer Science and Engineering [email protected]

Provides a thorough exploration of structural analysis and design using ETABS. Participants will gain a solid understanding of the fundamental principles of structural analysis, modeling techniques, loading considerations, analysis procedures, and design methodologies within the ETABS environment.

Course Pre-requisite: CVE 301

Date: October 25, 2026

Time: 9:00 AM - 4:15 PM

Location: ESB-1006

Instructors: Prof. Aqeel Ahmed 

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Civil Engineering [email protected]

Introduces the basic concepts of Building Information Modeling (BIM); application of commercial BIM software to create and modify building components; dimensioning and 3D visualization. 

Course Pre-requisite: CVE 211 or CVE 111

Date: January 7, 2027

Time: 9:00 AM - 4:30 PM

Location: ESB-1006

Instructors: Prof. Aqeel Ahmed and Mr. Riyad Temam

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Civil Engineering [email protected]

This course will cover Non-destructive testing (NDT) for concrete. It involves methods to assess the strength, durability, and integrity of concrete structures without causing damage. These tests are essential for quality control, condition assessment, and maintenance of existing structures. The following three tests will be covered for this course.
1. Rebound Hammer Test
2. Ultrasonic Pulse Velocity (UPV) Test
3. Covermeter Test

Course Pre-requisite: None

Date: May 26-27, 2027

Time: 9:00 AM - 4:00 PM

Location: EB1-0016

Instructors: Mr. Arshi Faridi

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Civil Engineering [email protected]

This short course covers the electric vehicle (EV) architectures, EV motor technology, EV powertrain, driving cycles, battery and storage technology, fuel cells in EVs, electric vehicle charging infrastructure, and recent advances in EVs.

Date: November 8, 2026

Time: 2:00 pm - 5:00 pm

Location: ESB-1026 & ESB-0019

Instructor: Dr. Ammar Hasan

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Electrical Engineering el[email protected]

Our certification program in PCB Design and Development has been meticulously organized to provide participants with comprehensive knowledge of designing tools, process equipment, and manufacturing methods employed in the fabrication of printed circuit boards (PCBs)

Date: January 17, 2027

Time: 11:00 am - 4:00 pm

Location: PCB Manufacturing Lab

Instructor: Mr. Ibrahim Abu Seif

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Electrical Engineering el[email protected]

This short course will provide an introduction to Physical AI, exploring the integration of artificial intelligence with physical systems, such as robots, to create intelligent and responsive machines. It highlights the key differences between digital AI, which operates in virtual environments, and Physical AI, which brings intelligence into tangible, real-world systems through sensors, actuators, and embodied interaction.

Date: January 24, 2027

Time: 2:00 pm - 5:00 pm

Location: ESB-1047A

Instructor: Dr. Ammar Hasan

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Electrical Engineering el[email protected]

This course is an introduction to static electricity, electrostatic discharge, and how to provide protection to electronic systems from static electricity and electrostatic discharge. The participants will learn how to prevent any electrostatic discharge and how to handle ESD measuring equipment used for the verification of ESD.

Course Pre-requisite: None

Date: February 7, 2027

Time: 11:00 am - 2:00 pm

Location: EB1-0009

Instructor: Mr. Ibrahim Abu Seif

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Electrical Engineering el[email protected]

Hands-on workshop to introduce Microcontrollers, digital signal acquisition or generation, pulse width modulation for analog signal generation, sensors, and actuators. During the workshop, an Arduino inventor's kit will be used to implement:
• Traffic light
• Digital switch system
• Fire alarm system
• Servo motor
The student has to bring the kit with him. Any kit that includes Arduino and basic electronics can work. Recommended kits are: 1) SparkFun Inventor’s Kit – v4.1, 2) ELEGOO UNO Project Super Starter Kit. The links for those kits are shown in the registration form.                                                                               

At the end of the course, there will be a 30-minute exam. The certificate will be attested by the Mechanical Engineering Department.

Course Pre-requisite: Any engineering student with a good background in programming with C and the basics of electric circuits.

Date: December 14, 2026

Time: 11:00 am - 3:00 pm

Instructor: Mr. Wasim Almasri

Location: EB2-109

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Mechanical Engineering [email protected]

This professional course introduces participants to the fundamentals of LabVIEW graphical programming with an emphasis on basic program development, data handling, and control structures.

The course covers the LabVIEW development environment, including the Front Panel and Block Diagram, creation of Virtual Instruments (VIs), data types (numeric, Boolean, string, arrays), loops (While and For), Case structures, and basic debugging techniques.

Course Pre-requisite: None

Date: December 14, 2026

Time: 11:00 am - 3:00 pm

Instructor: Mr. Nabeel Nasar

Location: TBA

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Mechanical Engineering [email protected]

This professional certificate course provides a structured introduction to computational fluid dynamics (CFD) using ANSYS Fluent. The program is designed to equip participants with the essential theoretical understanding and practical skills required to perform fundamental fluid flow and heat transfer simulations.

Participants will gain hands-on experience in the complete CFD workflow, including geometry preparation, mesh generation, material property definition, boundary condition specification, solver configuration, solution monitoring, and post-processing of results. Emphasis is placed on developing a systematic approach to simulation setup, interpreting numerical results, and understanding the physical significance of computed solutions.

Course Pre-requisite: None

Date: December 14-15, 2026

Time: 10:00 am - 4:00 pm

Instructor: Mr. Muhammad Jasim

Location: TBA

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Mechanical Engineering [email protected]

This professional course introduces participants to MATLAB’s Symbolic Math Toolbox with an emphasis on symbolic computation, analytical problem solving, and mathematical modelling. The course covers symbolic variables, equation solving, calculus operations (differentiation, integration), expression simplification, and visualization of symbolic functions. Participants will also learn how to integrate symbolic computation into MATLAB GUI-based applications using App Designer. Hands-on demonstrations and guided exercises are used throughout to reinforce theoretical concepts with practical application.

Course Pre-requisite: Basic background in programming using C and MATLAB.

Date: December 15, 2026

Time: 11:00 am - 5:00 pm

Instructor: Mr. Ammar Kiftaro

Location: EB2- 108

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Mechanical Engineering [email protected]

This course is an introduction to CAD applications (AutoCAD) and. Students will have basic hands-on training using AutoCAD followed by using the produced CAD files in successive manufacturing processes like laser cutting.

Course Pre-requisite: None

Date: December 15, 2026

Time: 10:00 am - 6:00 pm

Instructor: Mr. Mohammed Mustafa 

Location: EB2-103 and EB1-0017

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Mechanical Engineering [email protected]

This one-day course explores practical approaches to achieving operational excellence in uncertain and rapidly changing business environments. It integrates Lean management, performance measurement, risk management, and operational resilience to enhance efficiency, adaptability, and decision-making.

Participants will learn how to identify operational risks, assess vulnerabilities, and apply tools such as Key Performance Indicators (KPIs), Key Risk Indicators (KRIs), risk assessment matrices, and Failure Mode and Effects Analysis (FMEA). The course also introduces strategies for managing disruptions, prioritizing improvement opportunities, and balancing operational efficiency with resilience.

Through practical examples and interactive exercises, participants will develop the skills to evaluate operational challenges, implement risk-informed improvement strategies, and support sustainable operational performance under uncertainty.

Course Pre-requisite: Basic knowledge of subject area required

Date: November 18, 2026

Time: 5:00 pm - 7:00 pm

Location: TBA

Instructor: AbdulRahman Abbas 

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

This short course introduces students to the environmental impacts of construction activities and the importance of managing construction and demolition waste. It covers waste hierarchy principles (reduce, reuse, recycle), sustainable material choices, and case studies from the UAE and abroad. Students will learn how waste management contributes to circular economy and sustainable development goals (SDGs).

Key topics:

    •    What is construction & demolition waste

    •    Environmental and economic impacts

    •    Waste minimization hierarchy

    •    Reuse & recycling examples

    •    Innovative materials (hempcrete, recycled aggregates)

    •    Role of engineers in sustainability

Date: November 23, 2026

Time: 11:00 am - 2:00 pm

Location: TBA

Instructor: Hafsa Shajidha

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

This course introduces participants to the practical process of establishing and managing an e-commerce business in the United Arab Emirates. It is designed for aspiring entrepreneurs, students, and individuals interested in transforming a business idea into a functioning online store.

The course covers the key stages of launching an e-commerce business, including identifying a target market, selecting products, developing a brand identity, choosing suitable online selling platforms, and creating a pricing strategy. Participants will explore the UAE’s business licensing requirements, relevant legal considerations, basic financial management, payment gateways, delivery logistics, inventory management, and customer service.

By the end of the course, participants will be able to develop a basic e-commerce business plan, identify the appropriate steps for establishing an online business in the UAE, estimate initial operating costs, and outline strategies for attracting customers and sustaining business growth.

The course combines practical examples, guided activities, and real-world business considerations to provide participants with the foundational knowledge needed to confidently explore entrepreneurship in the UAE’s digital economy.

Date: December 10, 2026

Time: 9:00 am - 12:00 pm

Location: TBA

Instructor: Majeda Alhomsi

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

The Internet of Things (IoT) is transforming industries through real-time data collection, automation, and connected technologies. This session explores the relationship between creativity, invention, innovation, and disruptive technologies, highlighting how IoT creates business opportunities across sectors such as manufacturing, energy, agriculture, healthcare, and logistics.

The session introduces the IoT Business Model Canvas as a practical tool for understanding how businesses create, deliver, and capture value. Through real-world examples and interactive activities, participants explore customer needs, value propositions, revenue streams, and the key components of a successful IoT business model. The session emphasizes the importance of combining technological innovation with strategic business planning to develop sustainable and competitive IoT solutions. 

Date: December 10, 2026

Time: 11:00 am - 2:00 pm

Location: TBA

Instructor: Nasija Suhail

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

Introductory course on power quality issues in PV power systems, their causes, impacts on energy efficiency and equipment reliability, and the methods used for mitigation.
Upon completion of this course, students are expected to:
• Identify common power quality disturbances in power systems.
Understand the impact of poor power quality on electrical equipment, energy efficiency, and system reliability.
• Introduced to sources of power quality problems in modern energy systems, including renewable energy integration and non-linear loads.
• Explore an example of power quality measured data and basic analysis to assess compliancy to international standards.
• Explore mitigation techniques and technologies for improving power quality.

Course Pre-requisite: Basic knowledge of subject area required

Date: December 12, 2026

Time: 2:00 pm - 5:00 pm

Location: TBA

Instructor: Salma Suhail Azzam

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

This lecture introduces the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), a widely used Multi-Criteria Decision-Making (MCDM) method that ranks alternatives by their closeness to an ideal solution and distance from a worst-case solution. The session covers MCDM fundamentals, the five-step TOPSIS procedure through a worked case study, methods for assigning criteria weights, Fuzzy TOPSIS for handling linguistic judgments, sensitivity analysis, and a comparison with other MCDM methods.

By the end of the lecture, students will be able to:
- Structure a decision problem using alternatives, benefit criteria, and cost criteria
- Apply the TOPSIS steps to rank alternatives
- Select suitable methods for assigning criteria weights
- Explain how Fuzzy TOPSIS handles uncertainty in expert judgments
- Assess the robustness of results using sensitivity analysis
- Recognize the limitations of TOPSIS and when other methods are more appropriate 

Course Pre-requisite: Basic knowledge of subject area required

Date: December 12, 2026

Time: 2:00 pm - 5:00 pm

Location: TBA

Instructor: Sarah Ahmed Ali

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

From Concept to Action: Measuring and Implementing Sustainability in Engineering

This course introduces participants to the principles of sustainability and their practical applications in engineering. It focuses on how sustainability can be measured, evaluated, and integrated into engineering projects and decision-making processes.

Participants will explore key sustainability indicators, assessment methods, and strategies for improving environmental, social, and economic performance. Through practical examples and case studies, the course will demonstrate how engineers can translate sustainability concepts into measurable actions.

By the end of the course, participants will be able to:
- Understand the key principles and dimensions of sustainability in engineering.
- Identify and apply relevant sustainability indicators and assessment methods.
- Evaluate the sustainability performance of engineering projects.
- Develop practical strategies to integrate sustainability into engineering decisions and practices.

Course Pre-requisite: Basic knowledge of subject area required 

Date: December 13, 2026

Time: 2:00 pm - 5:00 pm

Location: TBA

Instructor: Shrouq Al-Etoom

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

Engineering innovation begins with identifying real problems and understanding their underlying causes. This presentation explores a structured approach to transforming challenges into practical solutions through empathy in engineering, research, insight extraction, creative thinking, design requirements, and prototyping. It highlights the importance of understanding users’ needs, experiences, and perspectives through empathy, while combining qualitative and quantitative research to analyze evidence and identify root causes. The presentation also introduces creative problem-solving techniques, including SCAMPER, reverse thinking, brainstorming, and concept mapping, to generate and explore potential solutions. Ideas are then evaluated through early validation and translated into prototypes with an appropriate level of detail. Testing, user feedback, and iterative refinement help identify weaknesses and improve the proposed solution before implementation. Finally, the presentation emphasizes communicating engineering work through a clear, evidence-based argument that connects the original problem, research findings, and proposed solution. Overall, the engineering design journey provides a systematic yet flexible framework for turning complex challenges into effective, user-focused solutions.

Date: December 14, 2026

Time: 11:00 am - 2:00 pm

Location: TBA

Instructor: Boshra Abd El Hadi

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

Date: December 14, 2026

Time: 11:00 am - 2:00 pm

Instructor: Rana El Haj

Location: TBA

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

A literature review is the foundation of almost every thesis and research paper, yet many graduate students find the process unclear. This two-day, hands-on workshop teaches a transparent, nine-step approach to conducting a systematic literature review (SLR), from research question to published review, illustrated with a real published review.

Day 1 covers planning and searching. Participants learn to frame a review as a clear research story, formulate a focused question using frameworks such as PICOC, and develop a protocol with inclusion and exclusion criteria aligned with PRISMA 2020. They then build Boolean search strings in Scopus, export the results, screen records in Rayyan, and appraise study quality, leaving with a search strategy ready to run.

Day 2 covers analysis and reporting. Participants design a data extraction sheet in Excel and develop a coding scheme of themes and sub-themes. They then conduct a bibliometric analysis, charting publication trends in Excel and mapping keyword co-occurrence and co-authorship networks in VOSviewer, using thesaurus files to merge synonyms and duplicate terms. Finally, they move from a thematic content analysis to research gaps and a publication-ready manuscript.

By the end of the workshop, participants will be able to:

Design a review protocol and Scopus search strategy
Screen studies in Rayyan and report them in a PRISMA flow diagram
Extract and code data in Excel
Produce and interpret bibliometric maps in VOSviewer
Synthesize findings by theme to identify research gaps

The workshop is designed for master’s and PhD students and early-career researchers across all disciplines.

Course Pre-requisite: Basic Excel skills and free Rayyan account

Date: December 14-15, 2026

Time: 2:00 pm - 5:00 pm

Location: ESB-1002

Instructor: Sara Abdulmaksoud 

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

This course introduces maintenance, reliability, and physical asset management, covering the field's scope, key roles, and industry practices. It also provides guidance on career pathways, job preparation, and relevant professional certifications.

Date: December 15, 2026

Time: 2:00 pm - 5:00 pm

Location: TBA

Instructor: Ehsan Esmaeeli

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

This presentation explores the evolution of IT infrastructure management from traditional physical servers to modern virtualization technologies, drawing on my professional experience as a Server Administrator II at ANB Bank in the United States.

Designed for Engineering Systems Management (ESM) students, the session demonstrates how virtualization has transformed enterprise infrastructure management, operational efficiency, and strategic decision-making within the banking sector.

Through practical industry examples, the presentation introduces technologies such as VMware, Nutanix, hybrid cloud solutions, and disaster recovery systems. It highlights how these technologies improve resource utilization, scalability, cost efficiency, system availability, and business continuity.

Beyond technical implementation, the discussion focuses on engineering management principles, including capacity planning, risk management, technology investment, performance optimization, and organizational resilience. It also addresses challenges associated with infrastructure modernization, cybersecurity, regulatory compliance, and technological change.

Ultimately, the presentation illustrates how virtualization represents not only a technological advancement but also a strategic management transformation. Students will gain insights into how engineering management decisions influence IT infrastructure performance, operational sustainability, and long-term organizational success.

Course Pre-requisite: Specific software familiarity required (e.g., Excel, Python, R)

Date: December 16-17, 2026

Time: 2:00 pm - 5:00 pm

Location: TBA

Instructor: Mohammad Abu Zahiya

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

A course in healthcare quality teaches students how to assess and improve the services provided to patients. It explores the principles of safe, effective, timely, equitable, efficient and patient-centred care. 

Students learn how to identify problems in healthcare systems, such as medical errors, long waiting times and preventable infections. They also study methods for measuring performance through indicators such as patient satisfaction, readmission rates and treatment outcomes.

The course introduces quality improvement approaches that use data to identify opportunities for change, test solutions and evaluate their results. For example, students might examine how a hospital can reduce medication errors or improve communication between healthcare professionals. 

Other topics may include patient safety, risk management, evidence-based practice, healthcare standards and leadership. Through case studies and practical activities, students develop analytical and teamwork skills that can help them contribute to better patient experiences, improved health outcomes and more efficient healthcare services.

Date: December 21, 2026

Time: 2:00 pm - 5:00 pm

Location: TBA

Instructor: Sara Alsafadi

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

Energy management plays a vital role in reducing operational costs, improving energy efficiency, and supporting global sustainability goals. This course introduces students to the fundamental principles and practical strategies used to monitor, control, and optimize energy use in organizations and buildings. It covers key topics such as energy auditing, performance indicators, renewable energy integration, and sustainability frameworks. The course emphasizes real-world applications, including examples aligned with Net Zero initiatives and sustainable development goals. Students will gain practical insight into how effective energy management contributes to environmental responsibility, economic efficiency, and long-term organizational performance. in the context of UAE.

Course Pre-requisite: Basic knowledge of subject area required

Date: December 26, 2026

Time: 2:00 pm - 5:00 pm

Location: TBA

Instructor: Najihath Basheer

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

Introducing Traffic safety principles for road users - part of transport engineering.

Date: December 26, 2026

Time: 9:00 am - 12:00 pm

Location: TBA

Instructor: Mohammad Alozn

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

This short course provides a robust foundation in the intertwined concepts of Lean and Six Sigma, equipping you with powerful tools for process and quality enhancement. They will learn about:
•    Core Lean Principles: Identify and eliminate waste (non-value-added activities) through techniques like value stream mapping, workplace organization (5S), and continuous improvement (Kaizen).
•    Six Sigma Methodology: Master the DMAIC (Define, Measure, Analyze, Improve, Control) framework for data-driven process improvement and defect reduction.
•    Quality Improvement Tools: Develop proficiency in essential statistical tools (e.g., Pareto charts, histograms, control charts), root cause analysis techniques (fishbone diagrams), and process flow analysis.
•    Voice of the Customer (VOC) & Quality Function Deployment (QFD): Translate customer needs into actionable product design and development strategies, ensuring customer satisfaction.
•    Design for Six Sigma (DFSS): Integrate quality and robustness principles into product design from the outset, minimizing defects and maximizing customer value.
This short course emphasizes hands-on application. They'll gain experience using key tools within the DMAIC and DFSS frameworks to tackle real-world process improvement challenges. In addition to presenting Lean Six Sigma related papers, and how they could be employed in research works. Upon completion, participants will be ready to:
•    Lead quality improvement projects
•    Streamline processes and reduce waste
•    Design products and services that meet customer expectations

Date: December 29, 2026

Time: 11:00 am - 2:00 pm

Location: TBA

Instructor: Nadin Khader Alherimi

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

This practical course provides a structured introduction to Microsoft Power BI for data analysis and visualization. Participants will learn to clean and transform data using Power Query, build efficient data models, and create professional, interactive reports and dashboards with real-world datasets. The course is ideal for students, researchers, and practitioners to unlock the full potential of their data.

The workshop is designed for beginners and requires no prior experience. Clear, step-by-step instruction will be provided to ensure all participants can easily follow.

Date: December 30, 2026

Time: 2:00 pm - 5:00 pm

Location: TBA

Instructor: Jahanara Thasnim

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

Understanding storm wave behavior is essential for coastal management, marine operations, and environmental risk assessment in the Arabian Gulf. The coastal waters of the United Arab Emirates are influenced by several regional wind systems that generate distinct storm wave conditions. Identifying and interpreting these storm patterns requires the integration of environmental data with advanced analytical approaches. This course introduces the concept of storm wave populations and demonstrates how multivariate statistical methods can be used to analyze and classify storm events. Participants will first gain an overview of the main wind and wave storm systems affecting the UAE, including the Shamal, Kaus, and Sohaili systems, and their influence on regional wave dynamics. The course will then present the principles of multivariate analysis and clustering techniques used to identify patterns within environmental datasets.

Course Pre-requisite: Basic knowledge of subject area required

Date: January 2, 2027

Time: 2:00 pm - 5:00 pm

Location: TBA

Instructor: Fadi Makarem

Fees (Exam/Materials/Supplies): Free

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For more information, contact the Department of Industrial Engineering [email protected]

This hands-on, three-hour course introduces two tools that engineering students and researchers use every day: MATLAB for working with data, and LaTeX for writing professional documents. The goal is not mastery but a clear understanding of what each tool does, why it is worth learning, and how to get started with confidence.

The first part covers MATLAB. Participants will learn what it is, why it is widely used in engineering, and how to access it through the desktop version or the online version. They will tour the interface, create variables and matrices, perform basic operations, write and save simple scripts, and import data from Excel. They will then summarize and visualize data using common plots such as bar, pie, and scatter charts.

The second part introduces LaTeX and explains how it differs from writing in Word. Participants will use Overleaf, a free online editor that needs no installation. Starting from a ready-made template, they will see how LaTeX automatically handles formatting, section and equation numbering, figures, tables, cross-references, and citations. The session closes by connecting the two tools: a figure created in MATLAB is inserted into a short LaTeX report.

By the end of the course, participants will be able to:

1. Explain the purpose of MATLAB and LaTeX and when to use each.
2. Navigate the MATLAB interface and run basic commands and scripts.
3. Import, summarize, and plot a simple dataset in MATLAB.
4. Create a document from a LaTeX template in Overleaf.
5. Add sections, equations, figures, tables, and references in LaTeX.
Identify resources for continued self-learning.

No prior experience with either tool is required.

Date: January 5, 2027

Time: 2:00 pm - 5:00 pm

Location: TBA

Instructor: Rami Zaino

Fees (Exam/Materials/Supplies): Free

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For more information, contact the Department of Industrial Engineering [email protected]

This course introduces undergraduate and graduate students to the EFQM Model, providing foundational knowledge and practical skills to assess organizational maturity and drive sustainable performance. Built around Purpose, Direction, and Performance, it bridges academic theory with real-world quality management and business excellence practices.

Course Content
1- EFQM Framework: Exploring the three core pillars—Direction (Purpose, Vision, Strategy), Execution (Stakeholder Engagement, Value Creation), and Results (Stakeholder Perceptions, Strategic Performance).

2- RADAR Logic: Learning the RADAR evaluation tool (Results, Approaches, Deploy, Assess & Refine) to perform structured organizational self-assessments.

3- Strategy & Transformation: Understanding how organizations align daily operations with long-term strategy, adapt to external trends, and foster continuous improvement.

Learning Outcomes
By the end of this course, students will be able to:

1- Apply RADAR Evaluation: Use the RADAR framework to analyze organizational case studies and assess operational maturity.

2- Identify Strategic Gaps: Pinpoint strengths and areas for improvement across leadership, strategy, and business processes.

3- Develop Improvement Plans: Formulate actionable, data-backed improvement roadmaps that link organizational purpose to measurable business outcomes.

Date: January 9, 2027

Time: 11:00 am - 2:00 pm

Location: TBA

Instructor: Ahmad Yousef Masoud Eljallad

Fees (Exam/Materials/Supplies): Free

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For more information, contact the Department of Industrial Engineering [email protected]

The course aims to equip PhD students with advanced methodologies and computational tools to assess risks, analyze system vulnerabilities, model uncertainty, and evaluate the resilience of complex engineering systems. It emphasizes quantitative modeling, simulation, critical analysis, and evidence-based decision-making, supported by practical applications across multiple engineering disciplines.

Date: June 1, 2027

Time: 11:00 am - 2:00 pm

Location: TBA

Instructor: Ayah saleh darweesh

Fees (Exam/Materials/Supplies): Free

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For more information, contact the Department of Industrial Engineering [email protected]