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. 📡🎓🌍✍️

Publication profile

google scholar

Academic Background 

With a diverse academic journey, the individual holds a Master’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. 🎓📡

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. Albaji’s commitment to both academia and industry underscores his dedication to advancing technology and education. 📡🎓💼🌟

Main Hard Skills 

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. 

Languages 

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. 

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. 🌍📊🔊📡

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 Booth’s Algorithm

Anran Xiao | Data Science and Analytics | Best Researcher Award

Anran Xiao | Data Science and Analytics | Best Researcher Award

Ms Anran Xiao, Sichuan university, China

Ms. Anran Xiao’s impressive educational background, extensive research contributions, and notable achievements, she certainly stands out as a strong candidate for the Best Researcher Award. Here’s a breakdown of her qualifications and accomplishments that support this opinion:

Publication profile

google scholar

Educational Background 🎓

  • Ph.D. in Management Science and Engineering (09/2023-Present) from Sichuan University, China.
  • M.S. in Management Science and Engineering (09/2021-07/2023) from Sichuan University, China.
  • B.S. in Logistic Management and Engineering (09/2017-07/2021) from Chengdu University of Technology, China.

Research Interests 🔍

  • Decision Analysis
  • Energy Economy
  • Decision Support Systems
  • Data Mining

Research Contributions 📚

  • Published Papers: Ms. Xiao has co-authored several impactful publications in reputable journals, demonstrating her significant contribution to the field. Key papers include:
    • “Freshwater microplastics pollution: detecting and visualizing emerging trends based on Citespace II” in Chemosphere (2020).
    • “Deep learning in economics: a systematic and critical review” in Artificial Intelligence Review (2023).
    • “Emerging research trends of total quality management in the COVID-19 pandemic: a dynamic evolution analysis” in Economic Research-Ekonomska Istraživanja (2023).

Research Grants 💰

  • Active participant in several research grants, including:
    • Fundamental Research Funds for the Central Universities (2023-2024) focused on tourist destinations.
    • Philosophy and Social Science Research Foundation (2020-2021) for water security risk management.
    • Scientific Research Project of Sichuan Mineral Resources Research Center (2019-2021) on classified recycling.

Awards and Scholarships 🏆

  • Recipient of multiple prestigious awards and scholarships, showcasing her academic excellence:
    • Master’s National Scholarship (Top 0.2%) in October 2023.
    • Outstanding Graduate of Sichuan Province (Top 1%) in June 2021.
    • Numerous other national and university-level accolades for academic performance and contributions to student development.

Publication top notes

Freshwater microplastics pollution: detecting and visualizing emerging trends based on Citespace II

Deep learning in economics: a systematic and critical review

Emerging research trends of total quality management in the COVID-19 pandemic: a dynamic evolution analysis

Optimal day‐ahead coordination on wind‐pumped‐hydro system by using multiobjective multistage model

A two-stage EBM-based approach to evaluate operational performance of unattended convenience store

A comprehensive bibliometric analysis of big data in entrepreneurship research

Measuring short-and long-run impacts of COVID19 on the sharing economy and business models

Conclusion

Ms. Anran Xiao’s robust educational background, combined with her diverse research interests and contributions, position her as a leading candidate for the Best Researcher Award. Her proactive involvement in significant research projects, combined with her accolades, underscores her commitment to advancing knowledge in management science and engineering. 🏅✨