AMREEN BATOOL: PIONEERING AI RESEARCHER IN COMPUTER VISION AND DEEP LEARNING 🌟
INTRODUCTION
Amreen Batool is an accomplished PhD researcher at Jeju National University, specializing in computer vision and deep learning. With a strong academic foundation and an impressive portfolio of research contributions, she has established herself as a prominent figure in AI-driven applications for agriculture and healthcare. Her work focuses on leveraging deep learning models such as Vision Transformers and YOLO-based architectures for plant leaf disease detection and medical image analysis. Amreen’s commitment to technological advancements is evident through her numerous publications, prestigious awards, and active involvement in groundbreaking research projects.
EARLY ACADEMIC PURSUITS
Amreen Batool embarked on her academic journey with a passion for artificial intelligence and its applications. Her initial studies provided a robust foundation in computer science, leading her to specialize in deep learning and computer vision. Through rigorous training and research, she gained expertise in AI-based solutions for precision farming, plant disease detection, and medical diagnostics. Her dedication to academia and innovation laid the groundwork for her future contributions to AI and sustainability research.
PROFESSIONAL ENDEAVORS
As a PhD researcher at Jeju National University, Amreen Batool is actively engaged in cutting-edge research projects. She has successfully completed a Smart Agriculture Project, utilizing AI-driven techniques for precision farming and plant disease identification. Currently, she is working on the Green Hydrogen Project, exploring sustainable energy solutions. Her research has been widely recognized, leading to her involvement in various funded projects and collaborations. Additionally, she serves as a reviewer for AI and computer vision journals, contributing her expertise to the academic community.
CONTRIBUTIONS AND RESEARCH FOCUS ON Smart Agriculture
Amreen Batool’s research primarily revolves around:
- Plant Leaf Disease Detection: Using deep learning models like Vision Transformers and YOLO to enhance agricultural monitoring.
- Medical Image Analysis: Developing AI-driven solutions for white blood cell segmentation and other healthcare applications.
- Smart Agriculture: Integrating AI techniques to improve farming practices and optimize crop health.
- Green Hydrogen Research: Investigating sustainable energy sources to address global energy challenges.
Her interdisciplinary approach to AI, agriculture, and energy has set new benchmarks in these fields, making significant contributions to technological advancements.
IMPACT AND INFLUENCE
Amreen Batool’s work has had a profound impact on AI research, particularly in smart agriculture and medical diagnostics. By applying AI-driven methodologies, she has improved the accuracy and efficiency of plant disease detection and medical image processing. Her ongoing research in green hydrogen presents promising solutions for sustainable energy. Through her publications and conference presentations, she continues to influence the global research community, inspiring advancements in AI applications.
ACADEMIC CITATIONS AND PUBLICATIONS
- Total Citations: 234
- Citations Since 2020: 232
- h-index: 9
- i10-index: 9 (Overall), 8 (Since 2020)
- Published Research Papers: 8 in SCI/Scopus-indexed journals
- Conference Presentations: Multiple presentations at international conferences
Her research output reflects her dedication to pioneering AI-based solutions across multiple disciplines.
HONORS & AWARDS
- Best Paper Award (Greece)
- Best Poster Presentation Award
- Brain Korea Best Research Achievement Award
- BK21 Scholarship Recipient
LEGACY AND FUTURE CONTRIBUTIONS
Looking ahead, Amreen Batool aims to:
- Expand her research in AI-driven sustainable energy solutions.
- Develop more precise and efficient AI models for agriculture and healthcare.
- Collaborate with global researchers to enhance AI’s role in environmental sustainability.
- Continue publishing high-impact research that influences future innovations.
Her dedication to research and technological advancement ensures that she remains a key contributor to AI’s evolving landscape.
FINAL NOTE
Amreen Batool’s journey as a researcher is a testament to her passion for AI and its transformative potential. Her work in smart agriculture, medical image analysis, and green hydrogen research continues to pave the way for innovative solutions in various industries. Through her research, mentorship, and collaborations, she is shaping the future of AI-driven technologies.
NOTABLE PUBLICATIONS
Enhanced Click Fraud Detection in Digital Advertising Through Ensemble Deep Learning
- Authors: Amreen Batool, Jisoo Kim, Yung-Cheol Byun
- Journal: Book Chapter
- Year: 2025
A Lightweight Multi-Path Convolutional Neural Network Architecture Using Optimal Features Selection for Multiclass Classification of Brain Tumor Using Magnetic Resonance Images
- Authors: Amreen Batool, Yung-Cheol Byun
- Journal: Results in Engineering
- Year: 2025
Enhanced Sentiment Analysis and Topic Modeling During the Pandemic Using Automated Latent Dirichlet Allocation
- Authors: Amreen Batool, Yung-Cheol Byun
- Journal: IEEE Access
- Year: 2024
Toward Improving Breast Cancer Classification Using an Adaptive Voting Ensemble Learning Algorithm
- Authors: Amreen Batool, Yung-Cheol Byun
- Journal: IEEE Access
- Year: 2024
Brain Tumor Detection with Integrating Traditional and Computational Intelligence Approaches Across Diverse Imaging Modalities – Challenges and Future Directions
- Authors: Amreen Batool, Yung-Cheol Byun
- Journal: Computers in Biology and Medicine
- Year: 2024-06