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AI-Powered Programming for QECs and Administrative Professionals

Trainer's Profile

Muhammad Sekandar Riaz, IQAE/QEC Manager at FAST-NUCES Chiniot-Faisalabad Campus, is a quality assurance professional with 17+ years in higher education. He holds an MS in Management Sciences and is pursuing a PhD. Skilled in Microsoft Office, Excel, and Power BI, he has led AI-driven automation for administrative workflows, including dashboard reporting, data analysis, and process optimization. He has conducted multiple workshops on office productivity tools and quality assurance practices, reflecting his commitment to academic quality and professional development.

Dr. Muhammad Usama is an Associate Professor at FAST-NUCES, Chiniot-Faisalabad Campus, with a Ph.D. in Electrical Engineering. He has completed postdoctoral research at the University of Edinburgh, UK, and LUMS, focusing on adversarial machine learning, urban computing, and data-driven policy analysis. His research contributions include publications in top IEEE journals on topics such as hyperspectral image classification, remote sensing, and machine learning applications in sustainability. He has secured competitive research grants, delivered talks at national forums, and is recognized for advancing machine learning solutions for complex urban and networked systems.

 

One Day Hands-on Workshop on “AI-Powered Programming for QECs and Administrative Professionals ”

Objectives

  1. Introduce AI Tools for automating routine tasks in QEC and administrative workflows.

  2. Equip participants with Prompt Engineering skills to effectively use Large Language Models (LLMs).

  3. Demonstrate the use of dashboards and email automation for efficient communication and follow-ups.

  4. Enable practical use of AI in data processing and reporting to support informed decision-making.

Learning Outcomes

  1. Apply LLMs like ChatGPT to streamline office tasks such as writing, summarizing, and drafting.

  2. Automate reminders and manage schedules using AI-driven email tools and dynamic to-do lists.

  3. Design and use corrective action dashboards for performance monitoring and follow-up tracking.

  4. Use Python and AI tools to clean, analyze, and visualize data for executive-level reporting.

Tentative timeline

Time Activity Resource Person
10:00 – 10:05 Recitation of the Holy Quran  
10:05 – 10:15 Welcome Address  
10:15 – 10:30 Introduction   Director, FAST-NUCES CFD Campus
10:30 – 10:45 Brief Introduction of Large Language Models Dr. Muhammad Usama
10:45 – 11:00 The Art of Prompt Engineering Dr. Muhammad Usama
11:00 – 11:30 Data Screaming, Cleaning, and Formatting through AI-Based Programming for Non-Programmers Mr. Sekandar Riaz
11:30 – 11:45 Tea Break  
11:45 – 12:15 Practice Session  
12:15 – 12:45 Corrective Action Follow-up Dashboard (Scheduled, Clubbed, and Bulk Emails) Mr. Sekandar Riaz
12:45 – 01:15 Practice Session (Group Activity)  
01:15 – 02:15 Lunch and Prayer Break  
02:15 – 02:45 Managing To-Do Lists OR Academic Calendars (Scheduling Emails/Reminders) Mr. Sekandar Riaz
02:45 – 03:15 Python for Data Analysis and Visualization (Graphs for Executive Summaries) Mr. Sekandar Riaz
03:15 – 03:45 Practice Session Mr. Sekandar Riaz
03:45 – 04:00 Certificate Distribution and Closing Ceremony Director, FAST-NUCES CFD Campus

Fee and Other Details

Fee per Participant: Rs 2500
Registration link: https://tinyurl.com/NUCESCFD-Workshops
Mode of Delivery: On Campus
Dates: 31 July 2025