Dive into a world of innovation and discovery, where cutting-edge research meets real-world impact. My work focuses on exploring the transformative potential of Artificial Intelligence, Machine Learning, and Federated Learning, particularly in healthcare. From enhancing healthcare accessibility to developing predictive models for disease severity, my research bridges the gap between advanced technology and practical solutions that improve lives.
This section showcases my contributions to the academic and professional landscape through impactful projects, peer-reviewed publications, and awards that recognize excellence. Here, you’ll find details about my ongoing PhD research, groundbreaking initiatives, and collaborative efforts to address global challenges with data-driven approaches.
Join me in exploring the intersections of technology, innovation, and purpose, as I strive to contribute to a more efficient, equitable, and sustainable future.
Role: PhD Researcher
Description: Securing the medical data while predicting the diseases severity with the
support of Artificial Intelligent technique, i.e., Federated Learning and prioritizing General
Practitioner appointments based on patients’ conditions severity.
Supervisory Team: Aaisha Makkar, Myra Conway
Start Date: February, 2023
Organisation: University of Derby
Role: QA Lead and Project Consultant
Description: Video analysis for Face Redaction, Audio analysis for Voice Redaction on transcription and ALPR using Machine Learning models.
Organisation: Getac Video Solution, USA
Role: Project Manager
Description: Sentiment analysis of the public reaction towards the Pakistan Democratic Movement (PDM) and predicting the success of the movement.
Organisation: NED University of Engineering and Technology Karachi, Pakistan
Role: Project Manager
Description: Applied sentiment analysis techniques to assess public reactions toward COVID-19, utilizing the Skip-gram model for community detection to identify nodes with related contexts. Additionally, conduct closeness and betweenness centrality analysis on tweets’ word networks to evaluate the influence and connectivity of nodes.
Organisation: NED University of Engineering and Technology Karachi, Pakistan.
STOCK MARKET PREDICTION USING MACHINE LEARNING MODELS
SOIL QUALITY MONITORING DEVICE
MICROPROCESSOR 8088 DESIGN AND IMPLEMENTATION USING VERILOG HDL
STUDENTS BEHAVIOUR DETECTION IN CLASSROOM
ALASKA2-STEGANALYSIS AND STEGANOGRAPHY
ONLINE PHARMACY SYSTEM
SCHOOL MANAGEMENT SYSTEM
ROBOTIC CAR
PHARMACY MANAGEMENT SYSTEM
FOOT PRESSURE CHARGING SHOES
CAR SHOWROOM MANAGEMENT SYSTEM
EGG CATCH GAME
ATM MANAGEMENT SYSTEM
Session Chair and Reviewer
Theme: 6th International Conference on Recent Trends in Image Processing & Pattern Recognition.
Research and Evaluation Officer
Theme: Postgraduate Research Conference.
Reviewer
Theme: Electrical engineering, Electronics and communication engineering, Civil engineering, Mechanical engineering, and Computer engineering.
Organizer
Theme: Biomedical and Clinical Science Academic.
PhD Scholarship: Awarded a fully funded scholarship for pursuing doctoral studies.
First Position in MS Data Science: Secured the top position in MSc Data Science at NED UET Karachi.
Employee of the Month and Year (Hat Trick): Recognized with three consecutive awards for exceptional professional performance.
Second Position in UET Entrance Test: Achieved 2nd position among 40,000 candidates in the ETEA entrance test, earning a prestigious reserved seat at NED UET.
Pakistan Foundation London Merit-Based Scholarship: Received a merit-based scholarship for undergraduate studies (2013–2017).
Certificate of Excellence: Honored by ASHRAE Student’s Conference & Exhibition in 2014 for outstanding contributions.
Certificate of Appreciation: Recognized by the Professional Education Foundation for volunteer work in 2014.
Managerial Excellence Award: Awarded a certificate of appreciation for exceptional performance as Manager at ITEC’16.
Preserving Accuracy in Federated Learning via Equitable Model and Efficient Aggregation
*Muntazir Mehdi, *Aaisha Makkar, *Myra Conway, **Lakshit Sama
*College of Science and Engineering, University of Derby, DE22 3AW, United Kingdom
**Capgemini Engineering, Australia
A Comprehensive Review of Open-Source Federated Learning Frameworks
Muntazir Mehdi, Aaisha Makkar, Myra Conway
College of Science and Engineering, University of Derby, DE22 3AW, United Kingdom
Network analysis of public reactions towards COVID-19 pandemic
Muntazir Mehdi, Anamta Irfan, Sana Habib
Department of Computer Science Software Engineering, NED University of Engineering & Technology, Karachi Pakistan
Stock Market Prediction Using Artificial Neural Network, Support Vector Regression and Random Forest
Muntazir Mehdi, Muhammad Osama, Dr. Sohail Sattar
Department of Computer Science Software Engineering, NED University of Engineering & Technology, Karachi, Pakistan
Sentiment Analysis of Public Reaction towards Pakistan Democratic Movement
Muntazir Mehdi, Anamta Irfan, Sana Habib, Noman Islam
Department of Computer Science Software Engineering, NED University of Engineering & Technology, Karachi Pakistan
Online Soil Quality Monitoring Device
Muntazir Mehdi, Misbah Adam, M. Khurram
Department of Computer and Information Systems Engineering, NED University of Engineering & Tech Karachi, Pakistan.