Sareer Ul Amin – Computer Science and Engineering – Excellence in Research

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Sareer Ul Amin - Computer Science and Engineering - Excellence in Research

Chung Ang University - South Korea

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Sareer Ul Amin embarked on his academic journey at Islamia College Peshawar (ICP), Pakistan, where he pursued a Bachelor of Science in Computer Science, graduating with distinction. His academic excellence continued as he pursued a Master's degree at Chung-Ang University (CAU) in Seoul, Republic of Korea, achieving an outstanding CGPA of 4.18/4.5.

PROFESSIONAL ENDEAVORS

Sareer Ul Amin's professional journey is marked by significant contributions to the field of Computer Science and Engineering. He served as a Research Assistant at the Graphics Realization Lab, CAU, contributing to various industrial and research projects. Prior to this, he held the role of Lab Coordinator at the Digital Image Processing Lab, ICP, where he effectively managed projects and mentored students.

CONTRIBUTIONS AND RESEARCH FOCUS

Sareer Ul Amin's research focus lies in AI & Computer Vision, with a specialization in Advanced Machine Learning, Deep Learning, and Anomaly Detection in Surveillance Video. His research contributions include the development of efficient strategies for anomaly detection, active learning techniques for data annotation, and robust hand gesture recognition systems. His work has been published in esteemed journals and conferences, showcasing his expertise in the field.

IMPACT AND INFLUENCE

Sareer Ul Amin's research findings have had a significant impact on the field of Computer Science and Engineering, particularly in the areas of anomaly detection, image analysis, and machine learning. His publications have garnered citations and recognition, highlighting the relevance and influence of his research contributions in academia and industry.

ACADEMIC CITES

Sareer Ul Amin's research publications have been well-received in the academic community, with his work cited in reputable journals and conferences. His contributions to the development of efficient deep learning models and active learning techniques have advanced the state-of-the-art in computer vision and machine learning.

LEGACY AND FUTURE CONTRIBUTIONS

Sareer Ul Amin's legacy in the field of Computer Science and Engineering is characterized by his dedication to research excellence and innovation. His future contributions are poised to further advance the frontier of AI and Computer Vision, with a focus on addressing complex challenges and developing practical solutions for real-world applications.

NOTABLE PUBLICATION

An Efficient and Robust Hand Gesture Recognition System of Sign Language Employing Finetuned Inception-V3 and Efficientnet-B0 Network.  2023 (6)

Harnessing synthetic data for enhanced detection of Pine Wilt Disease: An image classification approach.  2024

Aswani Devi Aguru – Computer Science – Women Researcher Award

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Aswani Devi Aguru - Computer Science & Engineering - Women Researcher Award

NIT warangal - India

EARLY ACADEMIC PURSUITS

Aswani Devi Aguru began her academic journey with a Bachelor's degree in Computer Science & Engineering from IIIT Basara, India. Excelling in her studies, she continued her education with a Master's degree from JNTU Kakinada, where she earned a remarkable CGPA of 9.32 and was awarded a Gold Medal. Her academic prowess led her to pursue a Ph.D. in Computer Science & Engineering from the prestigious National Institute of Technology, Warangal, where she is currently in pursuit of advanced research.

PROFESSIONAL ENDEAVORS

With a strong foundation in computer science, Aguru has embarked on a professional journey marked by research and innovation. She has served as a Junior Research Fellow (JRF), contributing significantly to projects focused on cutting-edge technologies such as Deep Learning, Cryptography, Blockchain, and Internet of Things (IoT). Her role in developing real-time solutions, including a prototype for text-to-speech conversion for the visually impaired using deep learning, demonstrates her commitment to leveraging technology for societal benefit.

CONTRIBUTIONS AND RESEARCH FOCUS ON COMPUTER SCIENCE & ENGINEERING

Aguru's research focus spans several interdisciplinary domains, including cybersecurity, computer vision, and blockchain technology. Her notable contributions include the development of lightweight intrusion detection mechanisms, trust-based blockchain systems, and innovative frameworks for securing IoT networks. Her research papers have been published in reputable journals and presented at international conferences, showcasing her expertise in addressing contemporary challenges in the field of computer science & engineering.

IMPACT AND INFLUENCE

Aguru's work has left a significant impact on academia and industry, with her research findings contributing to the advancement of cybersecurity protocols, blockchain-enabled solutions, and IoT applications. Her collaborations with peers and co-guidance of projects have facilitated knowledge dissemination and skill development among students and professionals alike. Through lectures and workshops, she has shared her insights and expertise, inspiring the next generation of researchers and practitioners in the field computer science & engineering.

ACADEMIC CITATIONS

Aguru's research publications have garnered citations from peers and experts in the field, underscoring the relevance and significance of her contributions. Her work has been cited in reputable journals and conferences, indicating its recognition and influence within the academic community.

LEGACY AND FUTURE CONTRIBUTIONS

Aswani Devi Aguru's legacy lies in her dedication to advancing the frontiers of computer science & engineering through rigorous research, innovative solutions, and knowledge dissemination. Her future contributions are poised to further propel the field forward, addressing emerging challenges and harnessing the potential of disruptive technologies for societal impact. With her expertise in cryptography, blockchain, and cybersecurity, she remains at the forefront of transformative research, shaping the future of technology-enabled solutions in a rapidly evolving digital landscape.

NOTABLE PUBLICATION

Smart Contract Based Next-Generation Public Key Infrastructure (PKI) Using Permissionless Blockchain.  2022 (1)

A Lightweight DDoS Detection Mechanism in IoT Networks using Entropy and Expectation of Packet Size.  2022 (1)

Integrated Industrial Reference Architecture for Smart Healthcare in Internet of Things: A Systematic Investigation.  2022 (12)