Abdul Aziz | Computer Science and Artificial Intelligence | Best Researcher Award

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Abdul Aziz | Computer Science and Artificial Intelligence | Best Researcher Award

Mr Abdul Aziz, Khulna University of Engineering & Technology, Bangladesh

🧑‍🏫 Abdul Aziz is an Assistant Professor at Khulna University of Engineering & Technology (KUET), specializing in computer science and engineering. With a passion for deep learning 🤖, fuzzy logic, and smart city innovations 🌆, he has presented at major conferences like ICCIT and BIM. A recipient of the Vice-Chancellor Award 🏅 and a University Gold Medalist 🥇, Abdul’s research focuses on AI-driven solutions for real-world problems. His notable works include danger detection for women and children and risk evaluation of hazardous chemicals. Dedicated to education and research, he inspires future engineers at KUET. 📚✨

Publication Profile

Scopus

Academic Qualifications

Mr. Abdul Aziz is an accomplished computer science professional with a strong academic background 🎓. He earned his Master of Science in Computer Science & Engineering from Khulna University of Engineering & Technology (KUET) in 2022, achieving a CGPA of 3.75/4.00 💻. Previously, he completed his Bachelor of Science at KUET in 2017 with an outstanding CGPA of 3.92/4.00, securing 1st place among 59 students and topping the EEE Faculty 🏆. His academic journey began at Shahid Syed Nazrul Islam College, where he completed his Higher Secondary Certificate in 2012 📚. Abdul Aziz exemplifies dedication and excellence in his field.

Professional Experiences

Mr. Abdul Aziz is an accomplished academic in computer science, currently serving as an Assistant Professor at Khulna University of Engineering & Technology (KUET) since December 2020 🎓💻. He began his journey at KUET as an Adjunct Faculty (Lecturer) in August 2017 and later became a Lecturer from January 2018 to December 2020 📚. Prior to this, he contributed to Northern University of Business and Technology Khulna (NUBTK) as a Lecturer from July to December 2017 🏫. With a strong dedication to education and research, Mr. Aziz continues to shape future engineers and drive innovation in computer science 🚀🔍.

Achievements, Awards, and Certifications

Mr. Abdul Aziz is a distinguished academic and researcher recognized for his outstanding achievements🏅. In 2024, he received the Vice-Chancellor Award for High Impact Research Journal Publication📚. He was the University Gold Medalist in 2018 for securing 1st position in his graduating class🥇. From 2013 to 2016, Abdul earned the University Vocational Scholarship and the Dean’s Award for ranking among the top 10% of students for four consecutive years🏆. His programming skills were highlighted in 2014 when he secured 3rd place in one intra-batch contest and 1st place in another💻🥇.

Membership

Mr. Abdul Aziz is a passionate coach, mentor, and trainer in programming and technology 💻. Since 2018, he has coached 25+ teams for ICPC regionals, National Girls Programming Contests, and university competitions. He led the KUET_Effervescent team to the 48th ICPC World Finals in Astana, Kazakhstan (2024) 🏆. Aziz serves as an Associate Member of the Institution of Engineers, Bangladesh ⚙️ and reviews international conferences. As a trainer for BDSET and ITEE programs, he uplifts digital skills 📊. He also organized major events like BitFest 2019 and NHSPC, mentoring future innovators. His journey began as a debate champion 🎤.

Academic Projects

Mr. Abdul Aziz has undertaken diverse academic projects during his undergraduate studies at KUET. In his 3rd semester (2014), he developed a Java-based smart home automation desktop app 🏠💻. In the 4th semester (2014-2015), he created a medical center automation website using PHP, HTML, and MySQL for doctor-patient communication 🏥🌐. His 5th semester (2015) featured hospital DBMS design with PL/SQL and Oracle 📊. By the 6th semester (2015-2016), he built an Android app for real-time object tracking 📱🗺️ and a keypad/Bluetooth-controlled LCD display project using Arduino 📟🔷. In his final semester, he developed a 3D car racing game with C++ and OpenGL 🚗🎮.

Research Focus

Abdul Aziz’s research focuses on applying deep learning 🤖, signal processing 🎵, and fuzzy logic 🔢 to develop innovative solutions in safety, smart cities 🌆, and mobile applications 📱. His work spans danger detection for women and children 🚨, city service task distribution 🏙️, and chemical risk evaluation 🧪. Additionally, Aziz explores advanced error detection and correction in computing 💻. His contributions aim to enhance public safety, improve urban services, and boost system reliability. With publications in top-tier journals 🏆, his research bridges technology and real-world applications, fostering smarter and safer environments.

Publication Top Notes

DangerDet: A mobile application-based danger detection platform for women and children using deep learning

ShopiRound: An Android application-based e-commerce system to find products nearby using travelling salesman problem

A fuzzy logic-based risk evaluation and precaution level estimation of explosive, flammable, and toxic chemicals for preventing damages

Multi-bit error detection and correction technique using HVDK (Horizontal-Vertical-Diagonal-Knight) parity

CitySolution: A complaining task distributive mobile application for smart city corporation using deep learning

 

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

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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

ABDULKADIR DAUDA | Computer Science and Artificial Intelligence | Best Researcher Award

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ABDULKADIR DAUDA | Computer Science and Artificial Intelligence | Best Researcher Award

ABDULKADIR DAUDA, University of Reims Champagne-Ardenne, France

Based on the information provided, Mr. Abdulkadir Dauda appears to be a strong candidate for the Best Researcher Award. His academic background, professional experience, and research contributions highlight his qualifications and impact in the field of computer science. Below is an evaluation of his suitability for the award:

Publication profile

Orcid

Academic and Professional Qualifications

Mr. Dauda has a robust academic background, including a Master of Science Degree in Computer Science with Distinction and ongoing doctoral studies at Universite De Reims Champagne-Ardenne, France. His academic achievements, particularly his distinction at the Master’s level, underscore his dedication and capability in his field.

Work Experience and Contributions

Mr. Dauda’s professional experience as a Lecturer II in the Department of Computer Science at the Federal University of Lafia (2014-2022) demonstrates his commitment to education and research. He has taken on significant roles, such as Departmental Examination Officer and Programme Coordinator, which show his leadership and involvement in academic administration. His work in system and network administration during his tenure at the Federal Capital Territory Judiciary further highlights his practical expertise in computer science.

Research Contributions

Mr. Dauda has an impressive portfolio of research publications that focus on critical areas such as IoT Security, High-Performance Computing, and Distributed and Parallel Architectures. His publications in reputed journals and conferences, including the 2023 International Conference on Wireless Networks and Mobile Communications (WINCOM), demonstrate his active engagement in advancing knowledge in these fields. His collaborative work with international scholars further reflects the quality and impact of his research.

Research Interests and Impact

Mr. Dauda’s research interests in emerging and high-impact areas like IoT Security and Big Data are particularly relevant in today’s technological landscape. His contributions to these fields, through both his research and practical work, suggest a deep understanding and innovative approach to solving complex problems in computer science.

Conclusion

Mr. Abdulkadir Dauda’s academic excellence, professional experience, and significant research contributions make him a suitable candidate for the Best Researcher Award. His work not only advances the field of computer science but also demonstrates a commitment to teaching, mentoring, and community service, further solidifying his qualification for this honor.

Publication top notes

A Survey on IoT Application Architectures

 

Simon Wong | Computer Science and Artificial Intelligence | Best Researcher Award

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Simon Wong | Computer Science and Artificial Intelligence | Best Researcher Award

Dr Simon Wong, College of Professional and Continuing Education, the Hong Kong Polytechnic University, Hong Kong

Dr. Simon Wong is a distinguished educator with a Doctor of Education from the University of Leicester, UK. His extensive academic background includes an M.Phil. from PolyU and a Bachelor’s in Computer Science from the University of Minnesota, USA. Dr. Wong serves as a lecturer at CPCE, PolyU, and holds professional certifications in financial technology and Oracle. His industrial experience spans roles as a senior consultant and software engineer. Dr. Wong has led numerous academic programs and research initiatives, specializing in subjects like database systems, e-commerce, and cloud computing. He is a committed member of professional organizations and has significantly contributed to academic management and leadership. 🌟🎓💼

Publication profile

Orcid

Academic Qualifications

Dr.  holds a Doctor of Education from the University of Leicester, UK (2012), where they researched effective online learning in Hong Kong higher education institutions, supervised by Prof. Paul Cooper 🎓📚. They also earned a Master of Philosophy from PolyU (1997), focusing on designing and analyzing a bypass construction algorithm for self-healing asynchronous transfer mode networks under the guidance of Dr. K. C. Chang and Prof. Keith Chan 📘💡. Additionally, they graduated with distinction in Computer Science from the University of Minnesota, Twin Cities, USA (1993) 🎓💻.

Experience

With extensive experience in the tech industry, the individual served as a Senior Consultant at Oracle Systems Hong Kong Ltd (Aug 2000 – Sep 2003) 🏢, a Software Engineer at Skyworld Technology Ltd (Jun 1993 – May 1994) 💻, and a Consultant at the Microcomputer Laboratory, University of Minnesota (Sep 1991 – Mar 1993) 📊. Since Sep 2003, they have been a Lecturer at CPCE, PolyU 📚, and previously held roles as a Lecturer (Sep 1998 – Aug 2000) 👨‍🏫, Demonstrator (Sep 1996 – Aug 1998) 🔬, and Research Student (Jun 1994 – Jun 1996) 🎓 in the Department of Computing at PolyU.

Awards

With an illustrious career marked by numerous accolades and significant research contributions, I have received the Best Paper Awards in 2018, 2019, and 2023 🎉📚. I have successfully led and contributed to various high-impact projects, including those funded by the Quality Education Fund and CPCE 🏆💡. My roles have ranged from Associate Academic Director to Co-Investigator and Consultant, focusing on innovative technologies like AI, blockchain, and machine learning 🤖🔗. My work has significantly advanced educational technology and pedagogy, earning over HK$2 million in funding for projects aimed at improving learning experiences and outcomes 🎓💼.

Research focus

Simon Wong’s research focus is on the integration of blockchain technology in supply chain management, emphasizing sustainability. His work includes examining the adoption of blockchain integrated with cloud-based systems and machine learning to enhance sustainable practices in supply chains. Through critical literature reviews and case studies, Wong investigates the technical sustainability and implications of blockchain technology. His research aims to provide insights into the practical applications and benefits of blockchain for improving transparency, efficiency, and sustainability in supply chain operations. 🌐📦🔗📊🌿

Publication top notes

A Critical Literature Review on Blockchain Technology Adoption in Supply Chains

A Case Study of How Maersk Adopts Cloud-Based Blockchain Integrated with Machine Learning for Sustainable Practices

Technical Sustainability of Cloud-Based Blockchain Integrated with Machine Learning for Supply Chain Management

Sustainability of Blockchain Technology in Supply Chains: Implications from a Critical Literature Review