Dr. Sitara Afzal
AI Researcher
Email: dr.afzalsitara@gmail.com
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I am an enthusiastic and forward-thinking AI researcher driven by a passion for harnessing technology to shape a smarter and more compassionate future. With expertise in artificial intelligence, computer vision, advanced image processing, and emotion recognition, I thrive at the intersection of innovation and impact. My work spans developing intelligent systems that empower healthcare, education, and user-centric applications. Through cutting-edge research and collaboration, I aim to push the boundaries of what’s possible turning complex problems into transformative solutions that bridge technology with real human experiences.
Machine Learning & Deep Learning
Machine Learning & Deep Learning
"Developing intelligent systems powered by advanced neural networks, real-time emotion recognition, and speech-based interaction technologies ."
Related Publications
Human Activity Recognition via Hybrid Deep Learning Based Model .
Optimized Lightweight CNN for Real-Time and Scalable Facial Expression Recognition Applications
AI-Powered Emotion Detection Using Multimodal Video and Audio Recommendation Systems
Human gait recognition in occluded group-walking environment using Mask-R-CNN and CBAM-enhanced siamese networks for surveillance applications
Vision-based approach to knee osteoarthritis and Parkinson’s disease detection utilizing human gait patterns.
Medical Image Processing Applications Using Artificial Intelligence
Medical Image Processing Applications Using Artificial Intelligence
"Harnessing machine learning techniques for early detection and diagnosis of critical diseases, including skin cancer, brain tumors, and Alzheimer's."
Related Publications
A Transfer Learning-Based Approach to Detect Cerebral Microbleeds.
An Efficient False-Positive Reduction system for cerebral Microbleed system .
Region-of-Interest Based Transfer Learning Assisted Framework for Skin Cancer Detection .
A deep feature-based real-time system for Alzheimer disease stage detection .
A Data Augmentation based Framework to Handle Class Imbalance Problem for Alzheimer’s Stage Detection .
A Segmentation-less Efficient Alzheimer Detection Approach using Hybrid Image Features.
AR/ VR Applications
AR/ VR Applications
"Exploring immersive augmented and virtual reality solutions for education and healthcare, with a focus on interactive learning and enhancing medical diagnostics. "
Related Publications
PlantView: Integrating Deep Learning with 3D Modeling for Indoor Plant Augmentation.
Real-Time Efficient Emotion Induction in Virtual Reality-based Healthcare System .
Enhancing the MR Accessibility for Color-Vision Impaired Users .
Stock Prediction & Sentiment Analysis
Stock Prediction & Sentiment Analysis
"Leveraging machine learning and sentiment analysis to predict stock market movements by analyzing historical data and real-time sentiment from financial news and social media platforms."
Related Publications
An LSTM based stock prediction for major stock sector using COVID sentiments.
An Efficient Deep Learning Based Model to Predict Interest Rate Using Twitter Sentiment.
A Local and Global Event Sentiment Based Efficient Stock Exchange Forecasting using Deep Learning .
An Intelligent Event Sentiment Based Daily Foreign Exchange Rate Forecasting System .
Core Technical Skills
Core Technical Skills
**Development & Programming**
**Designing & Visualization**
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