Computer Science

Engr. Muhammad Talha Jahangir

Overview

Engr. Muhammad Talha Jahangir is a Computer Engineer with deep expertise in Artificial Intelligence (AI), Agentic AI, Machine Learning (ML), Data Science, and Deep Learning. With both national and international exposure, he is currently serving as a faculty member in the Department of Computer Science at Muhammad Nawaz Sharif University of Engineering and Technology (MNS-UET), Multan.
He holds an MS in Computer Engineering and is pursuing a PhD in Computer Engineering from the National University of Sciences and Technology (NUST), Islamabad. His PhD research focuses on affective computing, specifically emotion classification using IR-UWB radar. In addition, his work spans cutting-edge domains such as Generative AI, Agentic AI systems, Natural Language Processing (NLP), and advanced machine and deep learning techniques. Engr. Muhammad Talha Jahangir has also completed multiple professional certifications and actively participates in workshops and training programs related to AI, data science, and technology-enhanced education, reflecting his strong commitment to innovation, lifelong learning, and knowledge dissemination. Through his academic and professional endeavors, he is dedicated to empowering students and professionals to meet future challenges in the rapidly evolving field of computing.

Area of Interests:

Professional Experience
  •  May 2023- Now, Lecturer in Computer Science Department, MNS-UET, Multan (Permanent)
    •Jan 2021- May 2023, Graduate Engineer in Computer Science Department, MNS-UET, Multan (Contract)
    •Jan 2019-April 2021, Bahuddin Zakriya University, Multan (Visiting)
    •Feb 2018-Jan 202 MNSUA, Multan (Visiting)
    •Network Engineering, in GWC (LLC) Dubai (International Experience)
    •March 2016- August 2016 Internee in PTCL Data Center and Pakistan Internet Exchange (PIE), Pakistan (Internee)
➢A Novel Cooperative Micro-Caching Algorithm based on Fuzzy Inference through NFV in Ultra-Dense IoT Networks (Springer 2021) ➢ Subject Wise Motor Imagery Classification from EEG Data Using Neural Networks (IEEE Conference 2022) ➢ Leveraging Deep Convolutional neural networks For Accurate Discrimination Between Benign And Malignant Skin Lesions (IEEE Conference 2023) ➢ Systematic Approach To Analyze The Avast IOT-23 Challenge Dataset For Malware Detection Using Machine Learning (IEEE Conference 2023) ➢ Analyzing Cache Server Placement’s Impact On SDN-Based Cooperative Caching (HEC Recognized International Jornal (ICAIET 2023)) ➢ Efficient Intelligent System for Cyberbullying Detection in English and Roman Urdu Social Media Posts (HEC Recognized International Jornal (ICAIET 2023)) ➢ Efficient Mobile-Driven Automated Attendance System Employing Biometric Authentication for University Employees (HEC Recognized International Jornal (ICAIET 2023)) ➢ Go Drive Net: A Unified Platform for Cloud Storage with Social Networking (HEC Recognized International Jornal (IJIST 2024)) ➢ AI-Powered Classification for Cheating Detection in Offline Examinations Using Deep Learning Techniques with CUI Dataset (HEC Recognized International Jornal (IJIST 2024)) ➢ Evaluating Faster R-CNN and YOLOv8 for Traffic Object Detection and Class-Based Counting (HEC Recognized International Jornal (IJIST 2024)) ➢ Improving Credit Card Fraud Detection Using Machine Learning with Under-Sampling and SMOTE Techniques (HEC Recognized International Jornal (IJIST 2024)) ➢ Nature Scene Classification Using Transfer Learning with Inception V3 on the Intel Scene Dataset (HEC Recognized International Jornal (IJIST 2024)) ➢ Deep Learning-Based Image Captioning for Visual Impairment Using a VGG16 and LSTM Approach (HEC Recognized International Jornal (IJIST 2024)) ➢ Machine Learning-Based Heart Disease Classification for Symptom-Driven Diagnostics (HEC Recognized International Jornal (IJIST 2024)) ➢ Exploring the Efficacy of CNN Architectures for Esophageal Cancer Classification Using Cell Vizio Images (HEC Recognized International Jornal (IJIST 2024)) ➢ Enhanced Emotion Recognition on the FER-2013 Dataset by Training VGG from Scratch (HEC Recognized International Jornal (IJIST 2024)) ➢ Advancing WiFi Intrusion Detection Systems with Machine Learning Techniques for Enhanced Classification of Wireless Attacks (IEEE Conference 2024) ➢ Automated Identification of Begomovirus in Tomato and Chilli Plant using Deep Learning (Journal of Agriculture and Biology, 2025) ➢ Automated Identification of Citrus Fruits Nutrients Through Non-destructive Analysis (Journal of Agriculture and Biology, 2025) ➢ A Deep Learning Model for Identification of Yellow Wheat Rust (Journal of Agriculture and Biology, 2025) ➢ ONTOLOGY-BASED SENTIMENT ANALYSIS FOR REAL-TIME PRODUCT REPUTATION MODELING (Spectrum of Engineering Sciences, 2025) ➢ INFERSITY V1: A RETRIEVAL-AUGMENTED GENERATION (RAG) BASED CHATBOT FOR INTELLIGENT ACCESS TO UNIVERSITY RESOURCES (Spectrum of Engineering Sciences, 2025) ➢ Optimized Deep Convolutional Neural Network for Robust Occluded Facial Expression Recognition (THE ASIAN BULLETIN OF BIG DATA MANAGMENT, 2025) ➢ ENSEMBLE DEEP LEARNING MODELS WITH HARD VOTING FOR ACCURATE CATARACT CLASSIFICATION USING FUNDUS IMAGES” (Spectrum of Engineering Sciences, 2025) ➢ SUBJECT-ORIENTED EPILEPTIC SEIZURE DETECTION USING SMOTE AND DEEP LEARNING ON SINGLE-CHANNEL EEG FROM THE CHBMIT DATASET (Spectrum of Engineering Sciences, 2025) ➢ ENHANCING SPEECH EMOTION RECOGNITION WITH DEEP LEARNING THROUGH DATA FUSION, SPECTROGRAM AUGMENTATION, AND HYBRID FEATURE INTEGRATION (Spectrum of Engineering Sciences, 2025) ➢ Diabetic Retinopathy Grading Using Data Fusion and CNN-Based Ensemble Learning with Soft Voting for Enhanced Top-k Accuracy (Spectrum of Engineering Sciences, 2025) ➢ SYMPTOM-BASED BREAST CANCER CLASSIFICATION USING DEEP NEUTRAL NETWORK (Spectrum of Engineering Sciences, 2025) ➢ VGG BASED MULTICLASS CLASSIFICATION FOR LUNG CANCER (The Research of Medical Science Review, 2025)  

Google Scholar Link

Python,CrewAI, Hugging Face, LangChain, Matlab, Numpy, Pandas, Scikitlearn, scipy, matplotlib, Plotly, Tensorflow, Keras, OpenCV, Spacy, NLTK, Latex, Flutter, MySQL, C, C++, Java, CCNA, CCNP, Arduino Configuration, Pandas, Streamlit, Gardio

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(Mon - Fri : 08.00-16.00)

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