Kaimin Wei | Computer Science and Artificial Intelligence | Best Researcher Award

Kaimin Wei | Computer Science and Artificial Intelligence | Best Researcher Award

Prof Kaimin Wei, Jinan University, China

Kaimin Wei is a full professor at the College of Information Science and Technology, Jinan University, China ๐Ÿ‡จ๐Ÿ‡ณ. He earned his Ph.D. in Computer Science from Beihang University (2015), Masterโ€™s in Computer Application Technology from Zhengzhou University (2010), and Bachelorโ€™s in Computer Science from Yuncheng University (2007) ๐ŸŽ“. A distinguished Young Pearl River Scholar ๐ŸŒŸ, his research focuses on mobile computing, edge intelligence, and AI security ๐Ÿ“ฑ๐Ÿค–๐Ÿ”’. Prof. Wei has published extensively in top journals and conferences, contributing to advancements in algorithm optimization and security techniques ๐Ÿ“Š๐Ÿ“š.

Publication Profile

Orcid

Academic Backgroundย 

Prof. Kaimin Wei ๐ŸŒŸ holds a Ph.D. in Computer Science from Beihang University (2015) ๐ŸŽ“, a Masterโ€™s degree from Zhengzhou University (2010) ๐Ÿ“š, and a Bachelorโ€™s from Yuncheng University (2007) ๐ŸŽฏ. His academic journey showcases dedication and excellence in the field of computer science ๐Ÿ’ป. Recognized for his outstanding achievements, he was honored as a Young Pearl River Scholar ๐ŸŒŠ, reflecting his leadership potential and scholarly impact. Prof. Weiโ€™s contributions to academia continue to inspire, highlighting his commitment to research, innovation, and education ๐Ÿš€

Research Interestsย 

Prof. Kaimin Wei is a distinguished expert in Mobile Computing ๐Ÿ“ฑ, specializing in Edge Intelligence ๐ŸŒ and Artificial Intelligence Security ๐Ÿ”. His research focuses on enhancing the efficiency and security of mobile technologies, leveraging cutting-edge edge intelligence to optimize data processing and real-time decision-making. Prof. Wei’s work in AI security ensures robust protection against emerging cyber threats, contributing to the development of safer, smarter digital ecosystems. His innovative approach bridges the gap between mobile computing and advanced AI applications, driving technological progress and shaping the future of secure, intelligent systems. ๐Ÿš€๐Ÿค–

Research Focus

Prof. Kaimin Weiโ€™s research focuses on privacy-preserving technologies, federated learning, mobile crowdsensing, and cybersecurity ๐Ÿ”๐Ÿ“ก. His work explores UAV crowdsensing with energy efficiency, gradient inversion attacks in federated learning without prior knowledge, and group task recommendations using neural collaborative approaches ๐Ÿค–โœจ. He also investigates secure device pairing through acceleration-based methods with visual tracking and develops robust defense mechanisms against adversarial attacks using feature purification networks ๐Ÿ›ก๏ธ๐Ÿ“Š. Prof. Weiโ€™s interdisciplinary research blends Internet of Things (IoT), machine learning, and security protocols to enhance data privacy and system resilience ๐ŸŒ๐Ÿ”.

Publication Top Notes

Ali Othman Albaji | Computer Science and Artificial Intelligence | Best Researcher Award

Ali Othman Albaji | Computer Science and Artificial Intelligence | Best Researcher Award

Dr Ali Othman Albaji, Libyan Authority for Scientific Research, Libya

With a Bachelor’s in Electrical Engineering and a Master’s in Electronics & Telecommunications from Universiti Teknologi Malaysia, this accomplished professional has extensive experience in academia and industry. Currently an Assistant Professor at the Higher College of Science and Technology in Libya, they also lead CR Technology System in the MENA region. Their research interests include optical wireless technologies and machine learning applications in environmental monitoring. Fluent in Arabic and English, with a diploma in Italian, they are also the President of the Postgraduate Student Society at UTM. ๐Ÿ“ก๐ŸŽ“๐ŸŒโœ๏ธ

Publication profile

google scholar

Academic Backgroundย 

With a diverse academic journey, the individual holds a Masterโ€™s in Public Management and Leadership from the London School of Economics (LSE), UK, completed in 2010. They further pursued a Master in Electronics and Telecommunications at the University Technology Malaysia from 2019 to 2023. Their foundational education includes a Bachelor’s degree in Electrical Engineering, specializing in General Communications, from the Civil Aviation Higher College in Tripoli, Libya, earned in 2007. Additionally, they completed a Diploma in the Italian language during the 2011/2012 academic year. ๐ŸŽ“๐Ÿ“ก

Experience

Dr. Ali Othman Albaji boasts a diverse work history across reputable organizations. He started as a Sales Advisor at Akida Company (LG) and ZTE/Telecom China, honing his expertise in the telecommunications field. His academic journey includes significant roles as an Assistant Professor and lecturer in Electronics and Telecommunications. In addition to his teaching, he has demonstrated leadership as the Chairman of CR Technology System (CRTS Group) and the President of the Postgraduate Student Society at Universiti Teknologi Malaysia. Dr. Albajiโ€™s commitment to both academia and industry underscores his dedication to advancing technology and education. ๐Ÿ“ก๐ŸŽ“๐Ÿ’ผ๐ŸŒŸ

Main Hard Skillsย 

Dr. Albaji possesses a robust set of technical skills, including proficiency in CAD Design, MATLAB Simulation Analysis, Python, and data visualization tools like Tableau. His capabilities extend to qualitative and quantitative analysis, SCADA systems, and programming languages like Verilog and HTML. These skills enable him to tackle complex research problems and contribute innovatively to his field.ย 

Languagesย 

Fluent in Arabic and English, with an IELTS Band Score of 8.5, Dr. Albaji also has a very good command of Italian. This linguistic proficiency allows him to collaborate with international researchers and disseminate his work to a broader audience.ย 

Research focus

Ali Othman Albaji’s research focus centers on machine learning applications in environmental noise classification, emphasizing smart cities and mobile communications. His work includes developing algorithms for monitoring and classifying noise pollution using MATLAB, contributing to urban planning and public health. He has also explored traffic noise impacts on residential areas and mobile telecommunications in Libya. His diverse research interests extend to the design and implementation of communication systems, highlighting the integration of technology in environmental studies. Through these contributions, Albaji aims to enhance noise management and promote sustainable urban environments. ๐ŸŒ๐Ÿ“Š๐Ÿ”Š๐Ÿ“ก

Publication top notes

Investigation on Machine Learning Approaches for Environmental Noise Classifications

A Machine Learning for Environmental Noise Monitoring and Classification Using Matlab

Machine Learning for Environmental Noise Classification in Smart Cities

Designing the Global System for Mobile Communications GSM-900 Cellular Network up to the Nominal Cell Plan in Tripoli, Libya

Conclusion and Recommendations

A Review of Traffic Highway Noise Towards Residential Area

NOISE POLLUTION DATA REPORTING AND WAREHOUSING USING TABLEAU SOFTWARE

Designing and Implementing a Signed Multiplier Radix-2 Using Boothโ€™s Algorithm