CEN Student Community Hub

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 30, 2025

Time: 11:00 AM - 4:00 PM

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

Location: EB2

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This workshop introduces blockchain concepts including Remix IDE, Solidity, building and deploying Smart Contracts.

Date: October 27-29, 2025

Time: 4:30 PM - 6:30 PM

Location: ESB-1032

Instructor: Mr. Wissam Abou Khreibe

Fees (Exam/Materials/Supplies): Free

Click here to register

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

Get started building skills to perform the key tasks needed to become a full-time Linux administrator. The course provides students with Linux administration competence by focusing on core administration tasks. This course also provides a foundation for students who plan to become full-time Linux system administrators by introducing key command-line concepts and enterprise-level tools.

Date: January 5-8, 2026

Time: 9:00 am - 4:00 pm

Location: Cyper Security Lab (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]

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: October 18, 2025

Time: 9:00 AM - 4:00 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]

The AUS Drone Academy was established to provide training on operating Unmanned Aerial Systems (UAS), focusing on fixed-wing and multirotor drones.

Certifications: The program is endorsed by the Dubai Civil Aviation Authority (DCAA), and successful candidates will receive training certificates necessary for obtaining the mandatory RPAS registration card to operate drones in Dubai and the UAE.

Curriculum and Program Length: The academy offers three training levels: basic (hobbyist), intermediate (commercial), and advanced (government employees). The government-level RPAS training spans five days (50 hours) and includes three parallel modes:

Ground School: Theory and principles of flight, UAS components, communications, air law, meteorology, and UAS procedures.
Simulator: Techniques and motor skills for remotely controlling UAS.
Flight: Practical application of simulator skills, including pre- and post-flight procedures and environmental awareness.
Training Venue and Facilities:

Ground school and simulator training take place at the Drones Academy Lab on the AUS campus.
Field training is conducted at the Al Lisaili RC Flying Field in Dubai.

Date: October 25, 2025

Time: 9:00 am - 4:00 pm

Location: ESB-0027

Instructor: Mr. Wasil Eltahir

Fees (Exam/Materials/Supplies): RPAS Hobbysist: AED 550 (AUS rate)

Click here to register

For more information, contact the Department of Electrical Engineering el[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 2, 2025

Time: 2:00 pm - 5:00 pm

Location: ESB 1026 and 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]

This short course presents the rules and the best practices of using the VNA for the calibration, measurements and characterization of the electronic circuits at various frequencies.

Course Pre-requisite: Basic knowledge of network theory

Date: November 21, 2025

Time: 2:00 pm - 5:00 pm

Location: ESB 0028 (RF Microelectronics Lab)

Instructor: Dr. Lutfi Albasha

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 6, 7 and 17, 2026

Time: 11:00 am - 2:00 pm

Location: PCB Manufacturing Lab

Instructors: Dr. Madathumpadical Narayanan and Mr. Ibrahim Abu Seif

Fees (Exam/Materials/Supplies): Course fee of AED 500. The course fee is required as the course delivery involves supply material consumption.

Click here to register

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

The workshop involved students building a gesture-responsive robot using an accelerometer and microcontroller. They will learn to program the robot to recognize hand movements and perform physical actions. The session also covers wireless communication and motion-based control methods. 

Course Pre-requisite: Any engineering student with a beginner background in programming in C and a foundation in electric circuits.  

Date: October 25, 2025

Time: 10:00 am - 4:00 pm

Instructor: Mr. Wasim Almasri

Location: Besomi Academy

Fees (Exam/Materials/Supplies): Free, Sponsored By Bosemi Academy 

Click here to register

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

This course is an introduction to ANSYS Fluent software. Students will learn essential skills needed to perform basic computational fluid dynamics (CFD) simulations including fluid flow and heat transfer, starting from creating a geometry, creating a meshing, applying the boundary conditions, setting up the solver and obtaining the desired results.

Course Pre-requisite: Understanding of fluid mechanics and heat transfer is recommended but not mandatory

Date: December 15-16, 2025

Time: 10:00 am - 3:00 pm

Instructor: Mr. Muhammad Jasim

Fees (Exam/Materials/Supplies): Free

Click here to register

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

A 5 hour professional course introducing MATLAB’s Symbolic Math Toolbox, covering symbolic computation, equation solving, calculus, simplification, and visualization of symbolic expressions.

Course Pre-requisite: Basic knowledge of MATLAB programming, including familiarity with variables, matrices, and basic plotting.

Date: December 17, 2025

Time: 10:00 am - 3:00 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: Any Engineering students

Date: December 24, 2025

Time: 10:00 am - 6:00 pm

Instructor: Mr. Mohammed Mustafa 

Location: EB2-103, EB1-0017

Fees (Exam/Materials/Supplies): AED 100, we need to buy acrylic sheets, the cost need to be divided on the number of students. 

Click here to register

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

This hands-on workshop is designed to empower students with the knowledge and skills to effectively implement AI large language models (LLMs) in their academic journey. In this interactive session, students will discover new ways to transform these powerful tools from simple question-answering machines into versatile learning companions. Moving beyond basic interactions, participants will explore the underlying principles of AI-assisted learning.

The workshop covers essential aspects of AI-assisted learning, from crafting effective prompts for deeper understanding to mastering advanced features for complex academic tasks. Participants will learn practical strategies for exam preparation, essay writing, research enhancement, and programming.

Date: January 6, 2026

Time: 10:00 am - 3:00 pm

Instructor: Mr. Ahmed Elsergany

Location: EB2-103, EB1-0017

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This short course offers a detailed introduction to writing academic papers using LaTeX, the leading typesetting system for scientific and academic documents. Participants will learn how to effectively use LaTeX and Overleaf to professionally structure their research papers, by mastering the formatting of complex equations, tables and figures, while efficiently handling in-text citations and bibliographies. Attendees are expected to gain practical skills to enhance the clarity, readability, and presentation of their academic work, making it suitable for submission to high-impact journals and conferences.

Date: October 22, 2025

Time: 1:00 pm - 4:00 pm

Location: EB2 216

Instructor: Ms. Eiman ElGhanam

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This session provides a practical introduction to Artificial Intelligence (AI) in healthcare, highlighting how technologies such as machine learning, natural language processing, and predictive analytics are being applied to improve diagnostics, patient care, operational efficiency, and decision-making. Participants will gain an understanding of current applications, benefits, challenges, and ethical considerations, with a focus on real-world relevance for healthcare professionals.

Date: October 25, 2025

Time: 10:00 am - 11:00 am

Location: ESB 1002

Instructor: Ms. Inas Al Khatib

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: November 13, 2025

Time: 2:00 pm - 5:00 pm

Location: ESB 1044

Instructor: Ms. Nadin Alherimi

Fees (Exam/Materials/Supplies): Free

Click here to register

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

The course aims to introduce the participants to the concepts, frameworks and practices of organizational excellence as applied in both public and private sectors and to explore how excellence  models provide a structured approach to achieving sustained performance, innovation, and stakeholder value creation beyond compliance and quality assurance.

Date: November 15-16, 2025

Time: 9:00 am - 11:00 am

Location: ESB 1002

Instructor: Mr. Ahmad Yousef Masoud Eljallad 

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This course is designed to provide a hands-on introduction to data analysis using SQL. In just a few hours, you will gain a solid understanding of SQL fundamentals and learn how to apply them to analyze real-world datasets.
  
 The course covers essential SQL concepts, including writing basic queries, filtering and sorting data, and using aggregate functions to generate meaningful insights. Once the data is retrieved and analyzed, you will learn how to visualize these insights in Excel, using charts, graphs, and pivot tables to present your findings effectively.
  
 By the end of the course, participants will be able to interact with databases confidently, retrieve and manipulate data efficiently, and visualize their results for business or research purposes. This course is perfect for beginners in SQL data analysis. No prior experience with SQL or Excel is required.

Date: November 23, 2025

Time: 10:00 am - 2:00 pm

Location: ESB 1002

Instructor: Ms. Junu Jahana

Fees (Exam/Materials/Supplies): Free

Click here to register

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

As the UAE accelerates its transition towards a green economy, Fuel Cell Electric Vehicles (FCEVs) represent a promising frontier in clean and sustainable transportation. This course offers an in-depth exploration of hydrogen-powered FCEVs, highlighting their role in reducing carbon emissions, enhancing energy diversification, and supporting national sustainability goals such as the UAE Energy Strategy 2050 and Net Zero by 2050.

Participants will gain a solid understanding of FCEV technologies, including hydrogen production, fuel cell operation, vehicle architecture, and refueling infrastructure. The course also examines global and regional advancements, with a focus on the UAE’s unique potential to become a hydrogen hub due to its abundant solar resources and strategic investments in green hydrogen.

Through case studies, technical insights, and policy discussions, learners will critically assess the viability of FCEVs in the local context, comparing them with battery electric vehicles (BEVs) and conventional alternatives. The course encourages innovative thinking around infrastructure deployment, regulatory frameworks, and business models to support FCEV adoption in public and private transport sectors.

Designed for professionals in energy, transport, engineering, and policy-making, this course bridges the gap between emerging hydrogen technologies and real-world applications in the UAE.

Date: November 24, 2025

Time: 4:00 pm - 6:00 pm

Instructor: Mr. Khalid Hamarsheh

Location: ESB 1009

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This training course on the Analytic Hierarchy Process (AHP) is designed to equip engineering students with a robust decision-making tool widely used in complex project management and system analysis. The course offers a comprehensive introduction to AHP, a multi-criteria decision-making (MCDM) method that helps prioritize alternatives when dealing with multiple, often conflicting, objectives.
Through the course, students will learn the theoretical foundations of AHP, which involves breaking down a decision problem into a hierarchy of more easily comprehended sub-problems. Each of these sub-problems can be analyzed independently. By comparing these elements pairwise, students will understand how to weigh criteria and alternatives to arrive at the best decision based on a clear, structured process.
  
  Key topics covered in the course include:
  
  -Basics of decision-making processes in engineering
  -The AHP methodology: constructing hierarchies and pairwise comparisons
  -Consistency ratio in AHP and its significance
  -Practical applications of AHP in engineering problem-solving
  -Using AHP software tools to automate decision analysis
The course will include real-life case studies from engineering projects where AHP is used, providing hands-on experience for participants. By the end of the course, students will be equipped with the skills to apply AHP in their academic projects and professional careers, making them adept at handling complex decision scenarios in fields like supply chain management, project prioritization, or technology selection.
  
This training is particularly valuable for students in system engineering, project management, and operations research, providing them with an essential decision-making toolkit.

Date: November 27, 2025

Time: 2:00 pm - 5:00 pm

Location: ESB 1009

Instructor: Ms. Ryan Alshaikh

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 29, 2025

Time: 10:00 am - 12:00 pm

Location: ESB 1002

Instructor: Ms. Hafsa Shajidha

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This training provides a clear, practical introduction to conducting a Systematic Literature Review (SLR). It explains what an SLR is, how it differs from a narrative review, and why it is useful for producing transparent, reproducible evidence. Participants will learn the core steps—defining a focused question, drafting a short protocol, building search strategies, screening studies, appraising quality, extracting data, and synthesizing findings—before reporting results in line with PRISMA. As we go, participants will practice each step through guided, hands-on exercises. Short demonstrations with common tools (reference managers, spreadsheets, and screening software) support each step. The session is suitable for graduate students, early-career researchers, and professionals seeking a structured method to review literature and identify research gaps.

Date: December 11, 2025

Time: 2:00 pm - 5:00 pm

Location: TBA

Instructor: Ms. Karam Al-Assaf

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This session introduces participants to the fundamentals of bibliometric analysis — a powerful quantitative method for mapping and analyzing research trends, author collaborations, and thematic developments within a specific field. Designed for researchers, postgraduate students, and professionals aiming to enhance the rigor and impact of their literature reviews, the session will provide both conceptual understanding and hands-on experience using VOSviewer, one of the most widely used tools for visualizing bibliometric networks.

Participants will learn how to collect bibliometric data from databases such as Scopus and Web of Science, import and refine datasets, and generate co-authorship, co-citation, and keyword co-occurrence maps. The session will also cover strategies for interpreting these visualizations to identify research hotspots, influential authors, and emerging themes — insights that can guide future research directions and publication strategies.

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

- Understand key concepts and indicators in bibliometric analysis.

- Use VOSviewer to create and customize bibliometric maps.

- Analyze networks to extract meaningful insights from large bodies of literature.

- Apply bibliometric findings to strengthen literature reviews, research proposals, and publication planning.

No prior experience with VOSviewer is required; participants are encouraged to bring their laptops for interactive learning.

Date: December 13, 2025

Time: 1:00 pm - 3:00 pm

Location: TBA

Instructor: Ms. Tania M Joseph

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This hands-on workshop introduces students to the exciting world of game development using Python and the Pygame library. Designed for beginners, the course will guide participants through the fundamentals of programming, game design, and interactive development by building a simple 2D arcade-style game from scratch. Students will learn how to create a game window, add player movement, integrate basic graphics, and implement game logic such as scoring, collision detection, and win/lose conditions. By the end of the session, participants will have built and customized their own playable game while gaining valuable coding and problem-solving skills.
 
 Learning Outcomes:
 By the end of this course, participants will be able to:
 • Understand the basics of Python syntax and game loops
 • Use the Pygame library to design 2D games such as (Flappy Bird Clone, Dodge the Blocks (Survival Game), Space Shooter, Memory Match Game (with Graphics))
 • Create player-controlled objects and interactive elements
 • Implement scoring, collision logic, and game over conditions
 • Develop confidence in applying programming to creative projects
 
 Duration:
 5–6 hours
 
 Target Audience:
 Undergraduate students with little or no prior programming experience. Open to all majors.
 
 Requirements:
 Basic laptop with Python and Pygame installed (installation instructions will be provided before the session)

Date: December 10, 2025

Time: 2:00 pm - 5:00 pm

Location: TBA

Instructor: Ms. Rasha Alsharif

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This course will focus on Augmented Reality (AR) in Engineering Education, examining its potential to enhance teaching and learning processes. It will cover AR fundamentals, pedagogical benefits, enablers, and challenges of adoption, supported by recent research and case studies. The course aims to provide participants with insights into how AR can improve visualization, engagement, and knowledge retention in engineering disciplines.

Date: December 18, 2025

Time: 1:00 pm - 3:00 pm

Location: TBA

Instructor: Ms. Nasija Suhail

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This professional course provides a comprehensive introduction to the principles and applications of sustainability in engineering. It highlights the understanding of the basic definitions and frameworks of sustainability, and the methods used to measure sustainable performance. The course looks at how to integrate sustainability into engineering systems, design processes, and urban development projects. It shows the role of green building practices and new technologies in reaching long-term environmental goals. Furthermore, it discusses the main challenges engineers face when they apply principles of sustainability and concludes with insights on supporting long-lasting environmental, social, and economic benefits.

Date: December 22, 2025

Time: 12:30 pm - 2:30 pm

Location: TBA

Instructor: Ms. Shrouq Al-Etoom

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This workshop introduces participants to Bayesian Belief Networks (BBNs) as a tool for modeling uncertainty and interdependencies in complex systems. Attendees will learn how to build and interpret simple BBNs for data-driven decision-making. The session combines theory with hands-on examples to demonstrate real-world applications in research and practice.

Date: December 27, 2025

Time: 11:00 am - 2:00 pm

Location: TBA

Instructor: Ms. Sabreen AlAmer

Fees (Exam/Materials/Supplies): Free

Click here to register

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

In this session, you will learn the basics of networking (IPs, classes, subnetting, and security items). Using Cisco's Packet Tracer, a powerful network simulation tool, the participants will build and configure a computer network with routers, switches, and end devices. We will verify the connectivity and secure it using Access Control Lists (ACLs).

This workshop is designed to be practical and beginner-friendly. No prior knowledge is required, and step-by-step guidance will be provided to make sure everyone can follow along and complete the exercises.

Date: January 6, 2026

Time: 2:00 pm - 5:00 pm

Location: TBA

Instructor: Mr. Rami Zaino

Fees (Exam/Materials/Supplies): Free

Click here to register

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

In this practical course, you'll discover how to clean, model your data, create stunning reports and dashboards, and connect to various data sources. You’ll engage in hands-on modules using real-world datasets, enhancing your data analysis and visualization skills. By the end of the course, you’ll be equipped to transform raw data into meaningful insights and effectively share your findings with teams or clients. This course is perfect for students, researchers, and practitioners to unlock the full potential of their data.

Date: January 6, 2026

Time: 10:00 am - 1:00 pm

Location: TBA

Instructor: Ms. Jahanara Thasnim

Fees (Exam/Materials/Supplies): Free

Click here to register

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

The Technique for Order Preference by Similarity to Ideal Solution （TOPSIS） is a powerful and rational method within the field of Multi-Criteria Decision Making （MCDM）, it is designed to resolve complex ranking problems. The main concept of TOPSIS is that the optimal alternative should be the one that is simultaneously closest to the ideal best solution and farthest from the ideal worst solution across all measured factors. This approach transforms a complicated set of trade-offs into a single, quantifiable preference score.

Date: January 8, 2026

Time: 12:00 pm - 3:00 pm

Location: TBA

Instructor: Ms. Sarah Ahmed Ali

Fees (Exam/Materials/Supplies): Free

Click here to register

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