I am a Research Assistant (RA) at United International University. I am also a graduate with a major in Data Science from United International University, with a profound enthusiasm for Machine Learning (ML), Deep Learning (DL), and their transformative applications. My academic journey, beginning at Viqarunnisa Noon School and College, has been characterized by a relentless pursuit of excellence and innovation, particularly in Computer Vision, 3D medical imaging, Natural Language Processing and Hybrid ML Algorithms.
With an excellent academic record, I have consistently demonstrated a strong commitment to learning and research. My work spans impactful projects such as Alzheimer’s detection using 3D MRI data, secure vehicle number plate detection with YOLOv8, and collision prediction systems using IoT and deep learning. These experiences have equipped me with expertise in cutting-edge AI frameworks, ensemble methods, and object detection techniques, enabling me to tackle real-world challenges with advanced technical solutions.
As an Undergraduate Teaching Assistant, I have honed my mentoring and academic skills by guiding students in programming, algorithm design, and lab work. This role has fueled my passion for academia and my drive to contribute to the growth of future technology leaders.
Looking ahead, I am eager to continue pushing the boundaries of data-driven innovation, with a focus on research that bridges academia and industry to address pressing global issues. My ultimate goal is to make meaningful contributions to the evolving fields of AI, healthcare technologies, and sustainable computing, while inspiring and collaborating with others to drive impactful change.
Recent News
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On January 2, 2025, Our paper, “SafeTrax: Smart Collision Prediction and Alert System Using IoT for Sustainable Traffic Safety,” has been published in the Early Access section on IEEE Xplore.
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On December 13, 2024, I started my career as a Research Assistant at United International University.
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On November 28, 2024, our paper, “Synergetic KDRF Classifier: A Random Forest-Based Hybrid Approach for Multi-Class Classification,” was accepted for presentation at the 27th IEEE ICCIT 2024.
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On November 3, 2024, our paper, “SafeTrax: Smart Collision Prediction and Alert System Using IoT for Sustainable Traffic Safety,” received funding of 200,000 BDT from the Institute for Advanced Research at United International University.