Arunabh Bora | Machine Learning | Best Researcher Award

Mr. Arunabh Bora | Machine Learning | Best Researcher Award

AI Engineer, UTAP Tech, United Kingdom

🌟 Arunabh Bora is an innovative Artificial Intelligence Engineer currently at UTAP Tech, Louth, United Kingdom, specializing in cutting-edge computer vision and machine learning solutions. With a background in electronics, robotics, and autonomous systems, he brings a unique skill set to AI-driven problem-solving in agricultural and medical domains. His passion for tech is reflected in his hands-on experience with deep learning models and reinforcement learning for various applications. 💻🔬

Publication Profile

Google Scholar

Education

🎓 Arunabh holds a Master of Science in Robotics and Autonomous Systems (Distinction) from the University of Lincoln, UK, where he earned 95% on his dissertation exploring Large Language Models for medical chatbot applications. He also completed a Bachelor of Technology in Electronics and Communication Engineering from Gauhati University, India, where he published two research papers on IoT and machine learning for agriculture. 📚🌾

Experience

💼 As an Artificial Intelligence Engineer at UTAP Tech, Arunabh is leading the development of a computer vision-based cattle weight prediction system. He also gained research experience as a Research Assistant at the University of Lincoln, contributing to net zero strategy reviews and machine learning model optimizations for industrial processes under Dr. Pouriya H. Niknam’s supervision. 🤖🌍

Research Focus

🔍 Arunabh’s research interests lie in the integration of artificial intelligence with robotics and healthcare. His current focus is on applying deep learning, retrieval-augmented generation (RAG), and large language models (LLMs) for medical chatbots, computer vision applications in agriculture, and reinforcement learning for robotics. 🚜🏥

Awards and Honors

🏆 Arunabh’s excellence in academia is highlighted by his distinction in his master’s degree. He has also contributed to multiple impactful research projects and received recognition for his innovative work in AI, IoT, and machine learning. 🥇✨

Publications

📝 Arunabh has published research on various AI-driven applications. His notable works include:

“Systematic Analysis of Retrieval-Augmented Generation-Based LLMs for Medical Chatbot Applications” published in Machine Learning and Knowledge Extraction (2024), https://doi.org/10.3390/make6040116 cited by 10 articles.

“Monitoring and Control of Water Requirements as Part of an Agricultural Management System using IoT” presented at the 7th International Conference on Mathematics and Computers in Sciences and Industry (MCSI) in 2022, https://doi.org/10.1109/MCSI55933.2022.00025 cited by 15 articles.

 

 

Ammar Chouchane | Pattern recognition | Best Researcher Award

Dr. Ammar Chouchane | Pattern recognition | Best Researcher Award

Associate professor, University centre of Barika, Algeria

Dr. Ammar Chouchane, an Associate Professor at the University Centre of Barika, Algeria, has been recognized for his outstanding contributions in the field of pattern recognition. 🏆 His pioneering research has earned him the prestigious Best Researcher Award, highlighting his dedication and expertise in this domain. Dr. Chouchane’s work exemplifies innovation and excellence, serving as a testament to his commitment to advancing knowledge and technology. Through his endeavors, he continues to inspire and shape the future of pattern recognition, leaving a lasting impact on both academia and industry. 🌟

Profile

Scopus

Education

Dr. Ammar Chouchane’s academic journey reflects a remarkable commitment to excellence and innovation. 📚 He earned his PhD in Electronics, Signals, and Communications from the University of Biskra, Algeria, in June 2016. His doctoral research focused on image analysis of facial expressions and head orientation using depth data, showcasing his expertise in cutting-edge technology. Prior to this, he obtained his Master’s degree in Electronics and Telecommunications in June 2011, specializing in the development of a board system for measuring human blood pressure. 🎓 Dr. Chouchane’s educational foundation began with a Bachelor’s degree in Electronics with a focus on signals and systems, followed by his Baccalaureate in natural science in June 2009 and 2004, respectively.

Experiences 

Dr. Ammar Chouchane has held esteemed academic positions, showcasing his dedication to both research and education. 🎓 From September 2023 until now, he serves as an Associate Professor (MCA) at the University Center of Barika, Algeria, contributing to the advancement of knowledge in his field. Prior to this, he held a similar role at the University of Dr. Yahia Fares, Médéa, Algeria, from October 2018 to September 2023. His academic journey began with a stint as a Temporary Assistant Teacher at the University of Mohamed Khider Biskra, Algeria, from April 2013 to 2018, concurrently teaching Physics at a middle school from September 2014 to 2018.

Research Interest

Dr. Ammar Chouchane has held esteemed academic positions, showcasing his dedication to both research and education. 🎓 From September 2023 until now, he serves as an Associate Professor (MCA) at the University Center of Barika, Algeria, contributing to the advancement of knowledge in his field. Prior to this, he held a similar role at the University of Dr. Yahia Fares, Médéa, Algeria, from October 2018 to September 2023. His academic journey began with a stint as a Temporary Assistant Teacher at the University of Mohamed Khider Biskra, Algeria, from April 2013 to 2018, concurrently teaching Physics at a middle school from September 2014 to 2018.

Publications Top Notes

Multilinear subspace learning for person re-identification based fusion of high order tensor features

Year: 2024

Authors: A. Chouchane, M. Bessaoudi, H. Kheddar, A. Ouamane, T. Vieira, M. Hassaballah

Journal: Engineering Applications of Artificial Intelligence

Link: http://doi.org/10.1016/j.engappai.2023.107521

A new multidimensional discriminant representation for robust person re-identification

Year: 2023

Authors: Chouchane, Ammar; Mohcene Bessaoudi; Elhocine Boutellaa; Abdelmalik Ouamane

Journal: Pattern Analysis and Applications

Pages: 1-14

High-order knowledge-based Discriminant features for kinship verification

Year: 2023

Authors: E. Belabbaci, M. Khammari, A. Chouchane, A. Ouamane, M. Bessaoudi, Y. Himeur, M. Hassaballah

Journal: Pattern Recognition Letters

Volume: 175

Pages: 30-37

AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions

Year: 2023

Authors: Y. Habchi, Y. Himeur, H. Kheddar, A. Boukabou, S. Atalla, A. Chouchane, A. Ouamane, W. Mansoor

Journal: Systems

Volume: 11

Issue: 10

Pages: 519

A new multidimensional discriminant representation for robust person re-identification

Year: 2023

Authors: Chouchane, A., Bessaoudi, M., Boutellaa, E., Ouamane, A.

Journal: Pattern Analysis and Applications

Pages: 1-14

Multilinear subspace learning using handcrafted and deep features for face kinship verification in the wild

Year: 2021

Authors: M. Bessaoudi, A. Chouchane, A. Ouamane, E. Boutellaa

Journal: Applied Intelligence

Pages: 1-14

Multilinear Side-Information based Discriminant Analysis for face and kinship verification in the wild

Year: 2018

Authors: M. Bessaoudi, A. OUAMANE, M. Belahcene, A.CHOUCHANE, BOUTELLAA, Elhocine, S. Bourennane

Journal: Neurocomputing