I am Mubashir Iqbal, a Computer Science professional with a Master’s from COMSATS University Islamabad and a Bachelor’s from Virtual University Pakistan. Currently, I serve as a Lecturer at HITEC University, teaching and mentoring undergraduate students. My expertise includes AI, machine learning, data science, and software engineering, with a strong focus on system reliability and quality assurance. Passionate about eXplainable AI (XAI), I strive to develop innovative and high-quality technological solutions.
Looking forward to collaborating and making a meaningful impact!
Designation: Lecturer
Duration: ( April-2026 ~ Present )
Core Courses Taught: Artificial Intelligence, Operating Systems, Computer Organization & Assembly Language (COAL)
| Area | Contributions |
|---|---|
| 🎓 Teaching & Instruction | Deliver interactive lectures, tutorials, and hands-on lab sessions; design competency-based assessments aligned with program learning outcomes and industry-relevant standards. |
| 🤝 Career Counselling & Industrial Placement | Lead the Career Counselling & Industrial Placement Office; guide students in developing professional skills, obtaining industry-recognized certifications (e.g., Cisco, Microsoft, AWS), and securing internships/placements with partner organizations. |
| 🔬 Curriculum Development | Review and enhance course content to integrate emerging technologies (e.g., Explainable AI, IoT, Cloud Computing), practical projects, and competency-based learning frameworks. |
| 📈 Professional Development | Continuously update pedagogical practices through workshops, conferences, and academic networks; incorporate active learning and project-based methodologies to improve student engagement. |
| ⚙️ Academic Service | Contribute to departmental committees, program reviews, accreditation processes (e.g., NCBTE/PEC), and student recruitment initiatives to uphold institutional quality standards. |
Designation: Lecturer
Duration: Nov 2024 – Mar 2026
Core Courses Taught: Introduction to Data Science, Artificial Intelligence, Data Structures & Algorithms, Applied Information & Communication Technology (AICT)
| Area | Contributions |
|---|---|
| 🎓 Teaching & Instruction | Deliver interactive lectures, tutorials, and hands-on lab sessions; design competency-based assessments aligned with program learning outcomes and industry-relevant standards. |
| 🔬 Curriculum Development | Review and modernize course content to integrate emerging tools (e.g., Python, Pandas, Scikit-learn), real-world datasets, and project-based learning frameworks. |
| 🤝 Student Mentorship | Provide academic advising, guide course selection, and supervise final-year projects and internship preparations to strengthen students' technical and professional readiness. |
| 📈 Professional Development | Engage in pedagogical workshops, academic conferences, and scholarly networks to adopt innovative teaching strategies and stay current with AI/DS advancements. |
| ⚙️ Academic Service | Contribute to departmental committees, program evaluations, accreditation support (e.g., NCBTE/PEC), and student recruitment initiatives. |
| 📝 Exam Administration | Oversee examination processes, ensure academic integrity, enforce assessment protocols, and maintain fair, transparent evaluation practices. |
Designation: Software Developer – Electronics R&D Department
Duration: Jan 2012 – Oct 2024
Tech Stack: Qt/C++ • Embedded Systems • STM32 • UART/SPI/I2C • Git • Linux/Windows
| Area | Contributions |
|---|---|
| 💻 Application Development | Designed, developed, and maintained cross-platform desktop applications using Qt/C++, delivering robust tools for real-time system monitoring and control. |
| 📡 Embedded Integration | Implemented real-time data acquisition and visualization modules for embedded systems; developed custom GUIs interfacing with STM32 microcontrollers via UART, SPI, and I2C protocols. |
| 🔌 Hardware-Software Co-Design | Integrated sensors, communication modules, and diagnostic interfaces to enable seamless control-panel operations and system health monitoring. |
| ⚙️ Code Quality & Practices | Wrote clean, modular, and efficient code following object-oriented principles and Agile methodologies; conducted peer reviews and refactored legacy components for maintainability. |
| 🤝 Cross-Functional Collaboration | Partnered with hardware engineers to support reverse engineering, testing, and validation of legacy electronic systems—bridging firmware and application-layer requirements. |
| 🧪 Testing & DevOps | Created unit tests, managed version control via Git, and authored technical documentation to ensure reproducibility, traceability, and team onboarding efficiency. |
| 🚀 Performance Optimization | Profiled and optimized application performance, ensuring stability, low latency, and resource efficiency across Linux and Windows deployment environments. |
| Sr. No. | Degree 📘 | Institute | From | To | GPA (4.0) |
|---|---|---|---|---|---|
| I. | MS(CS) | Comsats University Islamabad, Wah Campus, Pakistan | 2022 | 2024 | 3.58 |
| II. | BS(CS) | Virtual University of Pakistan (VU) | 2014 | 2020 | 3.09 |
Degree Details:
- Title & Duration: Master of Science (Computer Science - Data Science), 2022-2024
- Courses Taken:
Hereis the summary of Courses and other Training Activities. - Dataset Used: (NHANES) National Health and Nutrition Examination Survey (50 Features and 37079 records)
- Keywords: Heart Disease Prediction, NHANES, MLP, Neural Network, Explainable AI, Interpretable AI, SHAP, SummaryPlot, WaterFall Plot, SciKit-Learn, SMOTE, ADAYSN.
Achievements:
| Sr. No. | Type | Title | Journal | Publication Date | Paper | DOI | Codes  |
|---|---|---|---|---|---|---|---|
| I. | Thesis | Enhancing Heart Disease Prediction with Explainable AI (XAI) | --- | --- | --- | --- | GitHub Repo |
| II. | Published Article | Beyond Accuracy: The Transparent Journey of eXplainable AI in Cardiovascular Risk Assessment | Explainability | 19 July 2024 | Link | LINK | GitHub Repo |
Degree Details:
- Title: Bachelor of Science (Computer Science - Web Development, 4 Years Program) (2020)
- Keywords: Software Engineering, Web development, Web Applications, Web Security, Information Security.
Achievements:
| Sr. No. | Title |
|---|---|
| Product | Developed A secure Web Application using PHP, MySQL, and Front-end Technologies |
| Name | Audio Cloud, is a platform for users to sign up, upload, and share audio files with features like user registration, email verification, login, and role-based authorization. Key functionalities include an online audio player, engagement metrics (likes, dislikes, shares), file deletion, categorization, and advanced search options |
| CODES | GITHUB -  -  |
| Tools Used | PHP, mySQL, HTML5, CSS3, Javascript, jQuery |
| Language | Level | Certificate |
|---|---|---|
| Urdu | Native | |
| English | B2 | -- |
Here are some projects. Some are developed solely and some are developed in a team:
- Description: Working on the PAKVENT-1 ventilator system has been a delightful journey, where innovation meets compassion. Based on turbine-based airflow, this advanced ventilator comprises a ventilation unit for gas mixing and control, a patient breathing circuit for gas delivery, and real-time oxygen monitoring. It features real-time waveform monitoring, essential operational modes tailored to patient needs, user-friendly knob-based controls, and alerts for any critical conditions. The PAKVENT-1 supports multiple ventilation modes, including Pressure Controlled Mandatory Ventilation (P-CMV), Pressure-Synchronized Intermittent Mandatory Ventilation (P-SIMV), and Continuous Positive Airway Pressure (CPAP), among others. Powered by the DE10-Nano processing device and developed using the Qt C++ framework version 5.10, the device's intuitive design and reliable performance make it an invaluable asset in medical settings, ensuring optimal patient care and safety.
- Tech Stack: Qt C++ Framework version 5.10, QWidgetApplication, Linux 18.04, Embedded Linux, LXDE, DE10-Nano Development Kit. Air Turbine, Air-Flow Sensors, Air Pressure Sensors, Oxygen Sensor, etc
- Description: This Qt C++ desktop application monitors lab room environmental variables like CO2, temperature, humidity, and pressure, providing real-time visualization through plots. It uses the hidapi.h library to control USB-Switches-Relay modules, toggling lab equipment. The DataFetcher class handles sensor data, threshold checks, and relay activation, while the Qlogger class logs the system's operational state. Supported sensors include BME680, BME688, SGP30, SGP41, ENS160, MiCS5524, MS5803_05BA, TED1X, and USB_RELAY_Switches, ensuring effective monitoring and automated control of lab environments.
- Tech Stack: Qt C++ Framework, QWidgetApplication,
- Tech Stack: Qt C++ Framework, QWidgetApplication,
- Tech Stack: Qt C++ Framework, QWidgetApplication,
- Tech Stack: Python, Jupyter-NoteBook, Scikit-learn, Pandas, NumPy, MLP, Neural-Network, XAI, SHAP, Feature-Ranking, Summary-Plot, WaterFall-Plot,
- Tech Stack: PHP, MySQL, HTML5, CSS3, BootStrap, JavaScript, jQuery, JSON, AJAX,
- Tech Stack: PHP, MySQL, HTML5, CSS3, BootStrap, JavaScript, jQuery, JSON, AJAX,
Thanks for visiting! 🙏