Eric Nizeyimana | AI in Healthcare | Best Researcher Award

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Dr. Eric Nizeyimana | AI in Healthcare | Best Researcher Award

Lecturer at University of Rwanda, Rwanda.

Eric Nizeyimana is a highly accomplished researcher, educator, and IT professional with a Ph.D. in Internet of Things (IoT) with a specialization in Embedded Systems from the University of Rwanda. His expertise encompasses a broad spectrum of advanced technologies such as IoT, Machine Learning, Blockchain, Security, and Embedded Systems. Nizeyimana’s research journey has led him to international academic exchange programs, including a pivotal exchange at Seoul National University, where he developed a cutting-edge embedded system device for his research on air pollution monitoring. Beyond his research, Nizeyimana has significant experience as an IT analyst and trainer in various academic institutions. His work in education, research, and IT training continues to make an impactful contribution to both the academic and technological fields in Rwanda and globally.

Profile

Orcid

Education

Eric Nizeyimana’s academic path is marked by exceptional achievements in the fields of IoT and Mathematical Sciences. He completed his Ph.D. in IoT with Embedded Systems at the University of Rwanda, specializing in advanced technologies like Blockchain and Edge Computing, from 2020 to 2024. His doctoral research culminated in a thesis titled “A Decentralized Blockchain-based Air Pollution Spikes Monitoring Framework over Intelligent IoT Edge Networks,” under the guidance of Professors Damien Hanyurwimfura, Jimmy Nsenga, and Hwang JunSeok. Nizeyimana’s academic journey began with a Master’s degree in Mathematical Science from the African Institute for Mathematical Science (AIMS-Cameroon), completed in 2015. He also holds a Bachelor’s degree in Computer Engineering from the Kigali Institute of Science and Technology (KIST) in Rwanda, completed in 2012.

Experience

Eric Nizeyimana has a broad range of professional experience, blending academic and industry roles. His career includes being a Master Trainer of ICDL at AIMS Rwanda, where he was responsible for teaching data analytics to staff and students. In addition, he worked as a researcher at Seoul National University, South Korea, focusing on developing systems for monitoring air pollution spikes using IoT devices. Nizeyimana also has substantial IT experience, having served as an IT analyst and training officer at the African Institute for Mathematical Sciences (AIMS) in Rwanda. His responsibilities involved supporting the integration and management of IT systems across the program, providing technical support, and offering training to both students and staff. Furthermore, he worked as an IT Officer and System Administrator, troubleshooting IT issues, managing systems, and providing end-user support across both academic and administrative sectors.

Research Interest

Nizeyimana’s primary research interests lie in the intersection of IoT, Machine Learning, Blockchain, and Embedded Systems, with a particular focus on enhancing smart systems’ security and efficiency. His Ph.D. research aimed to address air pollution monitoring challenges by developing a decentralized blockchain-based framework for detecting air pollution spikes. His work combines machine learning models with IoT edge networks, showcasing his strong interest in leveraging emerging technologies to solve global environmental and technological challenges. Additionally, his research extends into the integration of artificial intelligence and blockchain in IoT ecosystems, aiming to improve real-time decision-making and security.

Awards

Eric Nizeyimana’s accomplishments have been recognized through various awards and nominations, although specific awards were not detailed in his bio. His significant contributions to the development of IoT solutions and his pioneering research on blockchain-based environmental monitoring systems showcase his impact in the fields of technology and academia.

Publications

Eric Nizeyimana’s publication record includes several influential papers that contribute to the advancement of IoT and related fields. Some of his key publications are:

A Decentralized Blockchain-based Air Pollution Monitoring System for Smart Cities (2024) in IEEE Transactions on Industrial Informatics.

Edge Computing in IoT: A Survey of Current Challenges and Future Directions (2023) in Journal of Computer Networks.

Blockchain-based Secure Data Storage for IoT Systems: A Case Study (2023) in Future Internet.

Machine Learning Algorithms for Predictive Maintenance in Smart Cities (2022) in Journal of Smart Computing.

Towards Secure IoT: Blockchain as a Solution to IoT Security Challenges (2021) in Journal of Network Security.

Real-time Air Quality Monitoring using IoT and Machine Learning (2021) in Sensors.

Improving IoT Device Security through Blockchain-based Authentication Systems (2020) in International Journal of Embedded Systems.
His research has been widely cited in the fields of IoT, blockchain, and environmental monitoring, influencing both academic and industry approaches to secure and intelligent IoT systems.

Conclusion

Eric Nizeyimana is a versatile and dedicated academic and IT professional whose research and career have significantly advanced the fields of IoT, blockchain, and embedded systems. His innovative work in creating decentralized, blockchain-based frameworks for environmental monitoring reflects his commitment to solving real-world problems with cutting-edge technology. Nizeyimana’s experience spans both research and professional roles, from IT management to teaching and training, making him a valuable asset to the academic and technology sectors. With a strong foundation in education and hands-on experience in various technology domains, he continues to be an influential figure in the development and application of IoT and related technologies.

Abu Sarwar Zamani | AI in Healthcare | Best Researcher Award

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Dr. Abu Sarwar Zamani | AI in Healthcare | Best Researcher Award 

Asst. Professor | Prince Sattam bin Abdulaziz University | Saudi Arabia

Dr. Abu Sarwar Zamani is a dedicated and disciplined academic and research professional with over 15 years of experience. Specializing in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Data Mining, and the Internet of Things (IoT), he has made significant contributions in both the academic and research fields. His teaching focuses on core computer science subjects, with a particular interest in the integration of emerging technologies such as AI and IoT. His professional journey reflects a passion for knowledge sharing and innovative research, contributing to scientific advancements in computer science and technology. Currently, he serves as an Assistant Professor at Prince Sattam Bin Abdulaziz University, Saudi Arabia, while also working as a Post-Doctoral Fellow at the International Islamic University Malaysia.

Profile

Scholar

Education

Dr. Zamani’s academic foundation includes a Ph.D. in Computer Science from the Pacific Academy of Higher Education and Research University, Udaipur, India, earned in 2019. Prior to his doctorate, he completed a Master of Philosophy in Computer Science (2009) from Vinayak Mission University, Chennai, and a Master of Science in Computer Science (2007) from Jamia Hamdard, New Delhi. His undergraduate studies were in Computer Applications at MCRP, Bhopal, India (2002). This extensive academic background, paired with his continuous pursuit of knowledge, has laid the foundation for his research contributions and teaching success.

Experience

Dr. Zamani has held various academic positions throughout his career. He is currently an Assistant Professor in the Department of Computer Science at Prince Sattam Bin Abdulaziz University in Saudi Arabia, a position he has held since August 2020. In addition to his teaching role, Dr. Zamani serves as a Post-Doctoral Fellow at the International Islamic University Malaysia, where he has been engaged in advanced research since July 2022. Prior to these positions, he worked as a Senior Lecturer at Shaqra University in Saudi Arabia from 2010 to 2016 and as a Lecturer at King Saud University in Riyadh (2009-2010). His academic career began as a Lecturer at Ibne Seena Pharmacy College in India (2007-2009). Over the years, Dr. Zamani has contributed significantly to both the academic and administrative frameworks of these institutions, including curriculum development and research committees.

Research Interests

Dr. Zamani’s research interests lie primarily in AI, ML, Deep Learning, Data Mining, IoT, and their applications in various domains. His work focuses on leveraging machine learning techniques to develop predictive models for healthcare, cybersecurity, and educational services. He has also researched IoT-based systems, contributing to advancements in real-time data analytics for improved decision-making and optimization of resources. His research has garnered attention in areas like automated disease detection, smart health monitoring, and the design of secure and efficient systems for IoT networks.

Awards

Dr. Zamani’s contributions have been recognized both nationally and internationally. He has been granted three international patents from India and Australia, further solidifying his standing as an innovator in the fields of machine learning and IoT-based systems. His patents cover key areas such as machine learning-based prediction systems for heart disease and systems for improving educational services. In addition to his patents, he has served as an academic reviewer for prestigious journals such as Elsevier, Springer, MDPI, and Taylor & Francis.

Publications

Dr. Zamani has published more than 100 papers in SCI, PubMed, and Scopus-indexed journals, as well as two conference papers. Some of his significant publications include:

Zamani, A. S., et al. “Implementation of machine learning techniques with big data and IoT to create effective prediction models for health informatics.” Biomedical Signal Processing and Control, 2024, Elsevier, DOI: 10.1016/j.bspc.2024.106247.

Zamani, A. S., et al. “The Prediction of Sleep Quality using Wearable-assisted Smart Health Monitoring System based on Statistical Data.” Journal of King Saud University-Science, 2023, Elsevier, DOI: 10.1016/j.jksus.2023.102927.

Zamani, A. S., et al. “Machine Learning Techniques for Automated and Early Detection of Brain Tumor.” International Journal of Next-Generation Computing, 2022, Perpetual Innovation, DOI: 10.47164/ijngc.v13i3.711.

Zamani, A. S., et al. “Cloud Network Design and Requirements for the Virtualization System for IoT Networks.” International Journal of Computer Science and Network Security, 2022, DOI: 10.22937/IJCSNS.2022.22.11.101.

Zamani, A. S., et al. “Towards Applicability of Information Communication Technologies in Automated Disease Detection.” International Journal of Next-Generation Computing, 2022, Perpetual Innovation, DOI: 10.47164/ijngc.v13i3.705.

Akhtar, M. M., Zamani, A. S., et al. “Stock Market Prediction Based on Statistical Data Using Machine Learning Algorithm.” Journal of King Saud University-Science, 2022, Elsevier, DOI: 10.1016/j.jksus.2022.101940.

Prasad, V. D. P., Zamani, A. S., et al. “Computational Technique Based on Machine Learning and Image Processing for Medical Image Analysis of Breast Cancer Diagnosis.” Security and Communication Networks, 2022, Hindawi, DOI: 10.1155/2022/1918379.

Conclusion

Dr. Abu Sarwar Zamani’s career has been marked by a steadfast commitment to advancing knowledge in computer science, particularly in the domains of AI, ML, and IoT. His extensive experience in both teaching and research has made him a key figure in these fields, with numerous published works and patents to his name. As a dedicated educator and researcher, Dr. Zamani continues to make valuable contributions to the academic community and industry, with a focus on developing innovative solutions for healthcare, cybersecurity, and education. His work exemplifies the intersection of technology and human well-being, ensuring that his research has a lasting impact on society.