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!

( Nov-2024 ~ Present )
Designation: Lecturer
Courses: Introduction to DataScience, Data-Structures and Algorithms.

• Teaching & Lecturing: Deliver engaging lectures, tutorials, and lab sessions in computing course materials and assessments.
• Curriculum Development: Update and improve course content aligned with the latest industry trends and academic standards
• Student Mentorship: Guide students academically, advise on course selection, and mentor final-year projects or internships.
• Professional Growth: Stay updated with new teaching methods and emerging technologies; participate in academic networks and events.
• Academic Service: Contribute to committees, program reviews, and departmental activities, including admissions and accreditations.
• Exam Administration: Supervise exams, ensure fairness, and manage exam protocols and discipline.

Designation: _Software Developer in Electronics R&D Department

• Designed, developed, and maintained cross-platform desktop applications using Qt C++.
• Implemented real-time data acquisition and visualization tools for embedded systems.
• Developed custom GUI applications interfacing with microcontrollers (e.g., STM32) via UART/SPI/I2C.
• Integrated sensors and communication modules for system diagnostics and control panels.
• Wrote clean, modular, and efficient code following object-oriented principles and Agile methodologies.
• Collaborated with hardware engineers to support reverse engineering and testing legacy electronic systems.
• Created unit tests, managed version control via Git, and documented technical specifications.
• Optimized application performance and ensured stability across Linux and Windows environments.

Degree Details:

• Title & Duration: Master of Science (Computer Science - Data Science), 2022-2024
• Courses Taken: Here is 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

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,