Employee Profile

COMSATS University Islamabad

Lahore Campus

Login
Dr. Madiha Amjad
Assistant Professor
Computer Science
Area of Interest
Artificial Intelligence, Internet of Things (IoT), Smart Agriculture, Renewable Energy Systems, Smart Grids, Medical Image Analysis and Healthcare Applications,Wireless Networks, Optimization.
Office Telephone
111-001-007 Ext.
Official Email
Available via Message Portal
Send Message

Biography

Dr. Madiha Amjad is an Assistant Professor in the Department of Computer Science at COMSATS University Islamabad, Lahore Campus, Pakistan. She received her Ph.D. in Information Technology from the National University of Sciences and Technology (NUST), Islamabad, in August 2020. Her doctoral dissertation focused on the design and optimization of MAC layer schemes for maximizing throughput in wireless networks. She has been serving in academia since September 2020 and joined COMSATS University Islamabad, Lahore Campus, in June 2026. 

Her research interests include Machine Learning, Deep Learning, Artificial Intelligence, Smart Agriculture, Smart Energy Management, Internet of Things (IoT), Renewable Energy Systems, and Wireless Networks. Her research focuses on developing intelligent and data-driven solutions for sustainable agriculture, energy optimization, and healthcare applications. She has published research articles in reputed journals, including IEEE Access, Scientific Reports, Energy Reports, and Frontiers in Public Health.

She has taught undergraduate and graduate courses, including Advanced Computer Networks, Computer Networks, Design and Analysis of Algorithms, and Digital Image Processing.

Supervised Ph.D. Theses

  1. IoT-Based Biofloc Automation System for South Punjab Region

  2.   Symmetric Encryption For Digital Color Images Based Chaotic Maps And Secure Hashing Algorithm

  3.  A Novel Stacked ensemble learning model for the prediction of asphyxia in infants using perinatal features and effective data mining techniques

  4.  Computer-Aided Diagnosis of Alzheimer's Disease Using Salient Markers of MRI Images

Supervised MS Theses

  1. A Layered Framework for Resource-Efficient Detection of Both Existing and Zero-Day Attacks in IoT

  2. Explainable AI for Wax Moth Infestation Detection in Honey Bee Apiaries

  3. Soil-Type-Driven Crop Recommendation System for Precision Farm Management

  4. Machine Learning-Empowered Scheme to Manage Energy Demand and Supply in Microgrids

  5. Automated Recognition of Wheat Crop Growth Stages Using Image Processing for Precision Farming

  6. Improved Multimedia Communication in UAV-Assisted Networks

Publications

Journal Papers 0
1.
Muhammad Afzal, Madiha Amjad, Saleem Ullah, Rahman Shafique, Farhan Amin, Isabel de la Torre, Atenea Ruigómez Noriega and David García Obeso (2026), "Optimized ensemble learning framework for neonatal asphyxia prediction using perinatal clinical features", Frontiers in Public Health
2.
Madiha Amjad , Aneeta Nasir , Seema Mir Akbar , Ahmed Omer Ahmed Ismail , Said Jadid Abdulkadirf , Yawar Abbas Abid , Syed Rizwan Hassan (2026), "Optimization of zero-carbon-photovoltaic home energy system employing day-ahead solar irradiance prediction", Energy Reports, Vol: 16
3.
Attia Ghafoor, Muhammad Majid, Madiha Amjad, Muhammad Wajid, Syed Ali Jafar Zaidi, Kashif Munir, Mohamad Khairi Ishak & Syed Rizwan Hassan (2026), "Explainable VGG16 transfer learning with SHAP and grad-CAM for wax moth pest and infestation detection in honeybee apiaries using imaging data", Scientific Reports
4.
Hammad Safdar Gill; Madiha Amjad; Muhammad Faheem; Aqeel Ur Rehman; Umber Rana; Amjad Rehman Khan (2025), "A Normalized Exponential Piecewise Chaotic System (NEPCS) and DNA Image Cryptography Using SHA-256", IEEE Access
5.
Muhammad Usama Tanveer; Kashif Munir; Madiha Amjad; Hasan J. Alyamani; Amine Bermak; Atiq Ur Rehman (2025), "LightEnsemble-Guard: An Optimized Ensemble Learning Framework for Securing Resource-Constrained IoT Systems", IEEE Access
6.
Aisha Naseer, Madiha Amjad, Ali Raza, Kashif Munir, Aseel Smerat, Henry Fabian Gongora, Carlos Eduardo Uc Rios & Imran Ashraf (2025), "Novel hybrid transfer neural network for wheat crop growth stages recognition using field images", Scientific Reports
7.
Hadeeqa Afzal, Madiha Amjad, Ali Raza, Kashif Munir, Santos Gracia Villar, Luis Alonso Dzul Lopez & Imran Ashraf (2025), "Incorporating soil information with machine learning for crop recommendation to improve agricultural output", Scientific Reports
8.
Muhammad Usama Tanveer Gujjar; Kashif Munir; Madiha Amjad; Atiq Ur Rehman; Amine Bermak (2024), "Unmasking the Fake: Machine Learning Approach for Deepfake Voice Detection", IEEE Access
9.
Muhammad Asad Abbas,Kashif Munir ,Ali Raza,Madiha Amjad,Nagwan Abdel Samee ,Mona M. Jamjoom,Zahid Ullah (2024), "A novel meta learning based stacked approach for diagnosis of thyroid syndrome", Plos One
10.
Muhammad Usama Tanveer; Kashif Munir; Madiha Amjad; Syed Ali Jafar Zaidi; Amine Bermak; Atiq Ur Rehman (2024), "Ensemble-Guard IoT: A Lightweight Ensemble Model for Real-Time Attack Detection on Imbalanced Dataset", IEEE Access
11.
MUHAMMAD ADEEL ABID , MADIHA AMJAD , KASHIF MUNIR , HAFEEZ UR REHMAN SIDDIQUE , AND ANCA DELIA JURCUT (2024), "IoT-Based Smart Biofloc Monitoring System for Fish Farming Using Machine Learning", IEEE Access
12.
Aisha Naseer; Madiha Amjad; Ali Raza; Kashif Munir; Nagwan Abdel Samee; Manal Abdullah Alohali (2024), "A Novel Transfer Learning Approach for Detection of Pomegranates Growth Stages", IEEE Access

Qualification

PhD
National University of Sciences and Technology (NUST), Islamabad, Pakistan, Pakistan
Sep 2015 to Aug 2020