- Our Faculties
- Dr. Waqas Ahmad
Dr. Waqas Ahmad (He/Him)
Academic Position:
Assistant Professor
Teaching Interests:
Artificial Intelligence, Deep Learning, Sentiment Analysis, Information retrieval, Natural Language Processing
Fields of Research (FoR):
Artificial Intelligence, Deep Learning, Sentiment Analysis, Information retrieval, Natural Language Processing
Keywords:
Department:
Faculty:
Faculty of Computer Science and Information Technology
Contact Details:
- Email: waqas@cs.uchenab.edu.pk
- Landline/Extension:
- Office Location:
Social Links
- ResearchGate
- Google Scholar
Student Advising Schedule:
Monday 09:00am to 01:00pm, Tuesday 10:00am to 4:00pm,
Wednesday 10:00am to 4:00pm, Thursday 09:00am to 12:00pm
BIOGRAPHY
WAQAS AHMAD received the Ph.D degree in computer science from the Department of Computer Science, COMSATS University Islamabad, Wah Campus, Pakistan in 2024. He is currently working as Assistant Professor with the Department of Computer Science, University of Chenab, Gujrat, Pakistan. He has published several research works in top journals and conferences. His research interests include data mining, machine learning, and sentiment analysis.
ACADEMIC APPOINTMENTS
| No. | Designation | School/Institute/University | Duration |
| 1 | Assistant Professor | University of Chenab | Sep 2025 – Present |
MY QUALIFICATIONS
| No. | Degree / Program of Study Name | Awarding Body/University/Institute | Year |
| 1 | PhD(CS) | COMSATS University Islamabad, Wah campus | 2024 |
| 2 | MS(CS) | COMSATS Institute of Information Technology, ATTOCK campus | 2016 |
| MCS | COMSATS Institute of Information Technology, ATTOCK campus | 2011 | |
| 3 | B.Sc. | GOVT College Attock City | 2009 |
| 4 | F.Sc. | GOVT College Attock City | 2007 |
| 5 | Matric | Sir Syed Higher Secondary School Attock City | 2005 |
MY RESEARCH ACTIVITIES: JOURNALS ARTICLES / BOOK CHAPTERS / PATENTS
| No. | Title | Details |
|---|---|---|
| 1 | A Comparative Analysis of Gradient-Based, Edge-Based, and Segmentation-Based Data Augmentation Methods for Early Diagnosis of Alzheimer’s Disease Using Neuroimaging Modalities and Deep Learning | Symmetry, 18(8), p.1254. |
| 2 | Aspect-Base Sentiment Analysis: A Comprehensive Review and Open Research Challenges | IEEE Access.2025 |
| 3 | Hybrid multichannel-based deep models using deep features for feature-oriented sentiment analysis | Sustainability, 15(9), p.7213. 2023 |
| 4 | Aspect-Based Sentiment Classification Using Deep Learning and Hybrid of Word Embedding and Contextual Position | Intelligent Automation & Soft Computing, 37(3). 2023 |
| 5 | Attention-based multi-channel gated recurrent neural networks: a novel feature-centric approach for aspect-based sentiment classification. | IEEE Access, 11, pp.54408-54427, 2023 |
| 6 | Underwater wireless sensor networks: A review of recent issues and challenges. | Wireless Communications and Mobile Computing, 2019(1), p.6470359. |
| 7 | Dynamic Length Packet Size Communication Technique for Underwater Sensor Networks. | International Conference on Intelligent Systems Engineering (ICISE). IEEE, 2016. |
| 8 | Context based Image Search | 14th IEEE International Multitopic Conference (INMIC 2011) Karachi. |
MY RESEARCH SUPERVISION:
| Areas of Supervision | Artificial Intelligence, Deep Learning, Sentiment Analysis, Information retrieval, Natural Language Processing |
Currently Supervising
| Student Name | Research Topic | Affiliation |
|---|---|---|
| Usman Rasheed | Binary and Multi-Class Classification of Alzheimer’s Disease Using Positron Emission Tomography and Deep Learning: A comparison of intensity-based, noise-based and edge-based data augmentation methods | University of Chenab |
| Asifa | A Modality-Specific Geometric and Texture Augmentation Framework for Early Alzheimer’s Disease Staging | University of Chenab |
| Ayesha | Comparative Analysis of Data Augmentation Techniques for the Early Diagnosis of Dementia Subtypes Using Deep Learning | University of Chenab |
Completions
| Student Name | Research Topic | Affiliation |
|---|---|---|
| Rabia Afzal Butt | Fake News Detection by applying Hybrid embeddings and using Deep Learning Technique | University of Chenab |
| Muhammad Dawood | Early diagnosis of Alzheimer’s disease using 3D Convolutional Neural Networks and MRI neuroimaging modality: A comparison of segmentation, gradient and edge based data augmentation techniques | University of Chenab |