Eric Nizeyimana | Computer Science | Best Researcher Award

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Dr. Eric Nizeyimana | Computer Science | Best Researcher Award

Lecturer from University of Rwanda, Rwanda

Dr. Eric Nizeyimana is a Rwandan researcher and academic specializing in Internet of Things (IoT) and embedded systems. He has built a career grounded in advanced technological solutions for environmental and infrastructural challenges, particularly in air pollution monitoring and data-driven IoT applications. His recent work includes developing decentralized, predictive frameworks using blockchain, machine learning, and IoT technologies to track pollution spikes in real time. With extensive research and teaching experience across African and Asian academic institutions, including the University of Rwanda and Seoul National University, he brings a global perspective to technological development. Dr. Nizeyimana is known for integrating practical and scalable systems with academic rigor, earning recognition for his innovative and impactful work. His contributions have been published in several reputable journals, and he continues to influence the next generation of engineers and scientists through both classroom teaching and research mentorship. Fluent in English, French, Kinyarwanda, and Swahili, and having held leadership roles in academic committees and church communities, he blends technical excellence with interpersonal and organizational strengths. As a proactive researcher and educator, Dr. Nizeyimana continues to push the boundaries of IoT systems in addressing societal issues, especially in transportation, environmental sustainability, and smart infrastructure.

Professional Profile

Education

Dr. Eric Nizeyimana has pursued a progressive academic path centered on engineering, mathematical sciences, and emerging technologies. He earned his Ph.D. in Internet of Things (IoT) with a specialization in Embedded Systems from the University of Rwanda – College of Science and Technology (UR-CST), under the African Center of Excellence in Internet of Things (ACEIoT), in collaboration with Seoul National University (SNU), South Korea, from 2020 to 2024. His doctoral research focused on environmental monitoring systems using IoT and edge computing technologies, particularly addressing air pollution monitoring and predictive analytics. Prior to this, he completed a master’s program in Mathematical Sciences at the African Institute for Mathematical Sciences (AIMS-Cameroon) in 2015. His academic foundation was laid through a bachelor’s degree in Computer Engineering from the Kigali Institute of Science and Technology (KIST), which he completed in 2012. This strong foundation in both engineering and mathematics positioned him well for his advanced research in smart systems and applied technologies. His educational journey reflects a consistent focus on interdisciplinary innovation, bridging computational science, real-world data systems, and environmental sustainability. Through scholarships and competitive academic grants, Dr. Nizeyimana has demonstrated academic excellence and international competitiveness.

Professional Experience

Dr. Eric Nizeyimana has accumulated rich professional experience in academia and research-focused technical roles. As of October 2024, he serves as a Lecturer at the University of Rwanda – College of Science and Technology, where he also previously held the role of Assistant Lecturer between August 2015 and May 2017. In this capacity, he has taught diverse subjects, including Embedded Computer Systems, Artificial Intelligence, Java Programming, and Computer Programming. He has also supervised undergraduate and graduate research projects and contributed to proposal writing and curriculum development. From April to October 2023, Dr. Nizeyimana was a researcher at Seoul National University, where he developed IoT-based systems for environmental monitoring, optimized embedded systems, and analyzed complex data. Between 2019 and 2023, he worked as an IT Analyst and Training Officer at the African Institute for Mathematical Science (AIMS), coordinating IT infrastructure, providing technical training, and managing secure digital environments. Earlier, from 2017 to 2018, he held the role of IT Officer and System Administrator at AIMS in both Rwanda and Cameroon. These roles highlight his hybrid expertise in teaching, systems design, network security, and capacity building, establishing him as a technically proficient and educationally driven professional.

Research Interests

Dr. Eric Nizeyimana’s research interests lie at the intersection of the Internet of Things (IoT), embedded systems, edge computing, and environmental monitoring. He focuses on developing intelligent, decentralized systems to address real-world challenges such as air pollution, particularly in urban transportation networks. His work explores the integration of edge devices, machine learning algorithms, and blockchain technologies to design predictive and real-time monitoring solutions. Another key interest involves leveraging IoT infrastructures for smart city applications, including traffic management, public health monitoring, and resource optimization. Dr. Nizeyimana is particularly interested in how embedded systems can be adapted to constrained environments to achieve high accuracy with low power consumption and minimal latency. In addition to technical development, he investigates the ethical and infrastructural implications of deploying such technologies in developing countries. His research also includes data analytics for IoT devices, remote sensing systems, and system interoperability within distributed computing frameworks. Through his multidisciplinary approach, he seeks to expand the boundaries of scalable, secure, and sustainable technology for societal benefit. These interests reflect his commitment to using engineering innovation to improve public services, infrastructure management, and environmental stewardship in both local and global contexts.

Research Skills

Dr. Eric Nizeyimana possesses advanced research skills in embedded systems design, IoT application development, and edge computing architecture. He is proficient in integrating IoT sensors and communication protocols with real-time data processing systems to monitor and analyze environmental data, especially for detecting air pollution peaks. His work involves embedded system programming, circuit design, microcontroller deployment, and the use of platforms such as Arduino and Raspberry Pi. He also has experience in machine learning model development for predictive analytics, including supervised learning techniques applied to transportation and pollution datasets. Dr. Nizeyimana demonstrates expertise in decentralized systems using blockchain for data immutability and enhanced security. Additionally, he has strong skills in scientific writing, proposal development, and collaborative project implementation. His ability to design end-to-end solutions—from hardware development to software implementation and data interpretation—sets him apart in the IoT research space. Furthermore, he is skilled in academic dissemination, having presented at multiple international seminars and conferences. His competence in working across multicultural teams, both locally and internationally, further enhances his collaborative research capabilities. These skills are underpinned by a solid background in programming languages such as Python, Java, and C++, along with system administration and IT infrastructure management.

Awards and Honors

Dr. Eric Nizeyimana has been recognized for his academic excellence and research contributions through various prestigious awards. In 2023, he received the Mobility Research Grant from Rwanda’s National Council of Science and Technology (NCST), which enabled him to conduct critical experimental work at an international research institution. This grant, valued at approximately 8 million Rwandan francs, supported his living and research expenses during a two-month exchange, reflecting the national confidence in his research potential. In 2020, he was awarded a full four-year Ph.D. scholarship through the Partnership for skills in Applied Sciences, Engineering and Technology (PASET), a competitive regional initiative aimed at promoting advanced STEM education in Africa. His leadership and service have also been acknowledged through appointments such as PhD student representative and Master’s student representative, demonstrating trust in his leadership within academic communities. In addition, his consistent presence at international conferences and seminars, along with publications in respected peer-reviewed journals, underscores his active engagement in the global research community. These honors not only validate his academic achievements but also highlight his capability to drive impactful, solution-oriented research with both national and international relevance.

Conclusion

Dr. Eric Nizeyimana embodies the qualities of an outstanding researcher through his technical innovation, academic leadership, and commitment to solving real-world problems using emerging technologies. His focused research in IoT, embedded systems, and air pollution monitoring has generated valuable insights into how smart systems can be leveraged for environmental and urban challenges. His publication record in high-quality journals and active participation in global research exchanges reflect a strong orientation toward scholarly excellence and international collaboration. With a foundation in mathematics and engineering, his interdisciplinary approach allows him to bridge theory and application effectively. His work with institutions like Seoul National University and AIMS demonstrates adaptability, technical depth, and professional maturity. As an educator, he contributes to capacity building through teaching, mentorship, and curriculum development. Recognized with competitive grants and scholarships, he has proven his potential to lead transformative research in both academic and industrial contexts. While there remains room for broader global engagement and interdisciplinary outreach, Dr. Nizeyimana has established himself as a valuable contributor to the research community. His profile makes him a highly suitable candidate for recognition under a Best Researcher Award, affirming both his achievements and future promise.

Publications Top Notes

  1. Prototype of monitoring transportation pollution spikes through the internet of things edge networks

    • Authors: E. Nizeyimana, D. Hanyurwimfura, J. Hwang, J. Nsenga, D. Regassa

    • Year: 2023

    • Citations: 7

    • Journal: Sensors, 23(21), 8941

  1. Integration of Vision IoT, AI-based OCR and Blockchain Ledger for Immutable Tracking of Vehicle’s Departure and Arrival Times

    • Authors: M. Sichinga, J. Nsenga, E. Nizeyimana

    • Year: 2023

    • Citations: Not listed

    • Conference: 2023 8th Int. Conf. on Machine Learning Technologies

  1. Miniaturized Ultrawideband Microstrip Antenna for IoT‐Based Wireless Body Area Network Applications

    • Authors: U. Pandey, P. Singh, R. Singh, N.P. Gupta, S.K. Arora, E. Nizeyimana

    • Year: 2023

    • Citations: 15

    • Journal: Wireless Communications and Mobile Computing, 2023(1), 3950769

  1. IOT‐Based Medical Informatics Farming System with Predictive Data Analytics Using Supervised Machine Learning Algorithms

    • Authors: A. Rokade, M. Singh, S.K. Arora, E. Nizeyimana

    • Year: 2022

    • Citations: 20

    • Journal: Computational and Mathematical Methods in Medicine, 2022(1), 8434966

  1. Design of smart IoT device for monitoring short-term exposure to air pollution peaks

    • Authors: E. Nizeyimana, J. Nsenga, R. Shibasaki, D. Hanyurwimfura, J.S. Hwang

    • Year: 2022

    • Citations: 7

    • Journal: International Journal of Advanced Computer Science and Applications (IJACSA)

  1. Design of a decentralized and predictive real-time framework for air pollution spikes monitoring

    • Authors: E. Nizeyimana, D. Hanyurwimfura, R. Shibasaki, J. Nsenga

    • Year: 2021

    • Citations: 9

    • Conference: 2021 IEEE 6th Int. Conf. on Cloud Computing and Big Data Analysis

  1. Effect of Window Size on PAPR Reduction in 4G LTE Network Using Peak Windowing Algorithm in Presence of Non-linear HPA

    • Authors: M. Fidele, H. Damien, N. Eric

    • Year: 2020

    • Citations: 10

    • Conference: 2020 IEEE 5th Int. Conf. on Signal and Image Processing (ICSIP)

  1. Monitoring system to strive against fall armyworm in crops: case study on maize in Rwanda

    • Authors: D. Hanyurwimfura, E. Nizeyimana, F. Ndikumana, D. Mukanyiligira, …

    • Year: 2018

    • Citations: 7

    • Conference: 2018 IEEE SmartWorld/Ubiquitous Intelligence & Computing

  1. Comparative study on performance of High Performance Computing under OpenMP and MPI on Image Segmentation

    • Authors: E. Hitimana, E. Nizeyimana, G. Bajpai

    • Year: 2016

    • Citations: 1

    • Conference: Third International Conference on Advances in Computing, Communication and Informatics

  1. Development of an encrypted patient database including a doctor user interface

  • Author: E. Nizeyimana

  • Year: 2015

  • Citations: Not listed

  • Institution: African Institute for Mathematical Sciences Tanzania

Chongan Zhang | Computer Science | Best Researcher Award

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Mr. Chongan Zhang | Computer Science | Best Researcher Award

Researcher from Zhejiang University, China

Chongan Zhang is an accomplished researcher in the field of Biomedical Engineering with nearly a decade of hands-on experience in the research and development of advanced medical devices. Based at Zhejiang University, he has served as a core team member on numerous high-impact projects at national, provincial, and enterprise levels. His research has focused on the development and translational application of high-end medical endoscopes, surgical navigation systems, and digital processing systems used in endoscopic surgical robots. Chongan’s innovative contributions have led to the publication of 10 academic papers indexed in SCI and EI, covering significant topics such as endoscopy and surgical navigation. He holds one national invention patent, which reflects his ability to bridge the gap between academic research and real-world clinical applications. His interdisciplinary approach combines engineering, computer science, and medicine to address key challenges in minimally invasive surgery. Committed to improving surgical precision and patient outcomes, his work in the development of high-speed digital processing and core navigation components has gained recognition in both academic and industrial domains. With a clear focus on translational research, Chongan continues to strive toward excellence in biomedical device innovation, aligning scientific progress with societal healthcare needs.

Professional Profile

Education

Chongan Zhang pursued his academic journey in the field of Biomedical Engineering at Zhejiang University, one of China’s most prestigious institutions for engineering and medical sciences. His formal education provided him with a strong foundation in engineering principles, biological sciences, and clinical applications relevant to medical device development. During his academic tenure, he focused on courses related to medical instrumentation, imaging systems, embedded systems, and biomechanics, all of which shaped his research direction toward minimally invasive technologies and robotic systems. His graduate research work revolved around designing and optimizing surgical navigation systems and high-resolution endoscopic imaging techniques. This training equipped him with both theoretical knowledge and practical skills in device prototyping, data acquisition, digital signal processing, and interdisciplinary integration. The academic environment at Zhejiang University encouraged collaborative and innovation-driven learning, enabling Chongan to take part in cutting-edge projects and cross-disciplinary research. His thesis and project work often involved real-time system simulation, system control algorithms, and micro-electromechanical system (MEMS)-based designs for surgical applications. Overall, his education has been pivotal in preparing him for a research career at the intersection of biomedical engineering, computer science, and clinical technology, shaping his capacity for innovation and translational application in the healthcare sector.

Professional Experience

Chongan Zhang’s professional experience spans close to ten years in biomedical engineering, with a focus on the research, development, and translation of innovative medical devices. During his career, he has played a key role in multiple scientific and technological projects funded by national, provincial, ministerial, and enterprise-level agencies. At Zhejiang University, he has functioned as a central figure in research groups working on endoscopic surgical robots, minimally invasive surgical instrumentation, and high-speed digital processing systems. His primary responsibilities include system architecture design, component integration, algorithm development, and prototype validation. He has collaborated closely with clinicians, engineers, and industrial partners to ensure that the technologies under development meet real-world clinical needs. Notably, he has contributed significantly to the creation of next-generation medical endoscopes and surgical navigation platforms, ensuring they are both functionally advanced and ergonomically designed for clinical use. His experience also includes preparing documentation for regulatory approvals and technology transfer initiatives. By bridging research with industry, he has helped translate laboratory innovations into deployable healthcare solutions. His practical experience across diverse project scales and domains positions him as a well-rounded biomedical engineer with strong problem-solving skills and a commitment to healthcare advancement through engineering innovation.

Research Interests

Chongan Zhang’s research interests lie primarily in the design, development, and optimization of biomedical devices with a focus on endoscopic technologies and surgical navigation systems. He is particularly interested in the intersection of medical imaging, embedded systems, digital signal processing, and robotics, which collectively drive the innovation of next-generation surgical tools. His current research focuses on developing high-speed digital processing systems that enable real-time data handling during endoscopic procedures. Another key area of his interest is the advancement of surgical navigation systems to enhance accuracy and safety in minimally invasive surgeries. This involves both hardware design and the development of real-time localization and tracking algorithms. Chongan is also keen on translating academic research into clinically deployable technologies and is involved in designing core navigation components for robotic-assisted surgical systems. Furthermore, he is exploring the integration of AI-assisted guidance in endoscopic navigation, aiming to improve decision-making during surgeries. His long-term interest includes the development of patient-specific devices and systems that can adapt to diverse surgical environments. By bridging engineering and medicine, he seeks to contribute to the evolution of smart surgical environments and better patient outcomes through technical excellence and user-centered design.

Research Skills

Chongan Zhang possesses a comprehensive skill set that supports his research in biomedical device development and surgical system innovation. He is proficient in the design and fabrication of medical devices, particularly high-performance endoscopes and surgical navigation platforms. His technical capabilities include embedded system programming, high-speed digital signal processing, sensor integration, and real-time data acquisition, all of which are critical for surgical applications. He is also skilled in system modeling, simulation, and validation, enabling him to iterate quickly and efficiently through the research and development cycle. His experience with CAD tools, hardware prototyping, and microcontroller-based system design strengthens his ability to create customized solutions for complex clinical challenges. Chongan is adept in image processing techniques used in endoscopy and navigation, and he frequently applies machine learning methods for optimizing navigation accuracy. Additionally, he has strong competencies in managing interdisciplinary research projects and collaborating with cross-functional teams, including surgeons, regulatory specialists, and industrial engineers. His skill in writing academic papers and securing intellectual property rights through patent applications also reflects his well-rounded research acumen. With a firm grasp of both software and hardware aspects, Chongan is well-equipped to innovate in the highly demanding field of medical device engineering.

Awards and Honors

Throughout his career, Chongan Zhang has earned recognition for his contributions to the biomedical engineering field, particularly in surgical technology innovation. While early in his career relative to more senior researchers, he has already secured a national invention patent, which highlights the originality and practical impact of his research. His participation in multiple government-funded and enterprise-sponsored research projects reflects institutional trust and professional esteem in his capabilities. Furthermore, his ten SCI and EI-indexed academic publications demonstrate that his work meets rigorous scientific standards and contributes to global knowledge in endoscopy and surgical navigation. Though not yet decorated with widely known individual research awards, his track record of successful project execution, research output, and innovation places him on a trajectory for future recognition at national and international levels. His involvement in interdisciplinary teams and industry partnerships has also brought praise for his ability to effectively bridge academic research with real-world application. As his portfolio continues to grow, he is likely to be a strong candidate for awards recognizing innovation, translational research, and medical technology advancement. His achievements to date serve as a foundation for even greater impact and recognition in the biomedical and engineering communities.

Conclusion

Chongan Zhang is a highly competent and innovative researcher whose work in biomedical engineering—especially in the development of surgical navigation systems and endoscopic technologies—demonstrates both depth and practical relevance. With nearly a decade of experience and active involvement in multi-tiered research projects, he exemplifies the qualities of a forward-thinking biomedical engineer. His research is driven by the need for high-precision, minimally invasive surgical tools that can transform clinical practice and improve patient outcomes. He combines strong technical skills with a clear vision for translational research, evidenced by his publications, patent, and collaborative project roles. While still building an international reputation, his consistent academic contributions and technical innovations already place him among the promising researchers in his field. His ability to work across disciplines and his focus on both hardware and software elements of surgical systems make him uniquely equipped to contribute to the future of intelligent surgical environments. With continued support and expanded visibility, he has the potential to become a leading figure in biomedical device innovation. Based on his experience, output, and innovation potential, he is a worthy nominee for the Best Researcher Award and an asset to the global biomedical research community.

Publications Top Notes

📘 Registration, Path Planning and Shape Reconstruction for Soft Tools in Robot-Assisted Intraluminal Procedures: A Review

  • Authors: Chongan Zhang, Xiaoyue Liu, Zuoming Fu, Guoqing Ding, Liping Qin, Peng Wang, Hong Zhang, Xuesong Ye

  • Publication Year: 2025