Research Group name: AI-Driven Intelligent Systems Research Group
Group Head: Dr. Ashfaq Ahmad (Associate Professor Department AI)
Group Members: Mahmood Hussain (Lecturer), Ashraf Ali (Lecturer)
Google Scholar Link: https://scholar.google.com/citations?user=XFH1WuEAAAAJ&hl=en
The Intelligent Systems and Applied AI Research Group focuses on advancing real-world applications of Artificial Intelligence (AI) and Machine Learning (ML) across diverse domains. Our primary research areas include power transmission system modeling, robotics, and AI-driven solutions for healthcare, such as human disease prediction and classification. Additionally, the group explores renewable energy advancements, focusing on PV output power prediction and PV cell defect detection using ML and AI techniques. With a vision to bridge cutting-edge AI research with practical implementation, the group emphasizes innovation, interdisciplinary collaboration, and impactful contributions to academia and industry.
Graduate Students/Undergraduate Students:
|
Thesis Title
|
Status
|
Student Name
|
Roll Number
|
Email Address
|
Picture
|
|
Hybrid Approach of Prabakhar fractional calculus and Neural Networks for Second Grade Fluid Analysis.
|
In Progress
|
Azra Siddiq
|
F2024393040
|
[email protected]
|
|
|
Enhancing Hate and Offensive Speech Detection Through a Multi-Class Classification Approach.
|
In Progress
|
Maryam Qaisar Tasleem
|
F2024436041
|
[email protected]
|
|
|
Sketch-to-Reality: A GAN-Based Approach to Image Generation
|
In Progress
|
Dur-e-Sameen
Minahil Ijaz
Taifa Mustafa
|
F2021376121
F2021376109
F2021376113
|
[email protected]
[email protected]
[email protected]
|
|