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

Jerzy Montusiewicz | Computer Science and Artificial Intelligence | Best Researcher Award

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Jerzy Montusiewicz | Computer Science and Artificial Intelligence | Best Researcher Award

Mr Jerzy Montusiewicz, Lublin University of Technology, Department of Computer Science, Poland

Based on the research achievements of Prof. Jerzy Montusiewicz, he appears to be a strong candidate for the Best Researcher Award. Here’s a summary of his contributions and achievements:

Publication profile

google scholar

Research Summary for Best Researcher Award

1. K-medoids Clustering and Fuzzy Sets for Isolation Forest
Montusiewicz co-authored this 2021 IEEE International Conference on Fuzzy Systems paper on clustering and fuzzy sets, highlighting advanced methodologies in data analysis. This work is cited for its impact on clustering techniques in complex datasets.

2. Preparation of 3D Models of Cultural Heritage Objects to be Recognized by Touch by the Blind—Case Studies
In this 2022 Applied Sciences publication, Montusiewicz contributed to developing 3D models of cultural heritage objects accessible to the visually impaired, showcasing his commitment to inclusivity in digital heritage.

3. Comparative Analysis of Digital Models of Objects of Cultural Heritage Obtained by the “3D SLS” and “SfM” Methods
This 2021 study, published in Applied Sciences, explores the comparative effectiveness of different 3D scanning methods for cultural heritage preservation, reflecting Montusiewicz’s expertise in digital preservation techniques.

4. 3D Scanning and Visualization of Large Monuments of Timurid Architecture in Central Asia—A Methodical Approach
Montusiewicz’s 2020 Journal on Computing and Cultural Heritage article demonstrates innovative methods for scanning large historical monuments, emphasizing his contributions to preserving Central Asian architectural heritage.

5. Virtual and Interactive Museum of Archaeological Artefacts from Afrasiyab—An Ancient City on the Silk Road
This 2020 paper in Digital Applications in Archaeology and Cultural Heritage presents the creation of a virtual museum for archaeological artefacts, illustrating Montusiewicz’s role in advancing digital tools for archaeology.

6. A Decomposition Strategy for Multicriteria Optimization with Application to Machine Tool Design
Montusiewicz’s 1990 publication in Engineering Costs and Production Economics addresses optimization strategies in machine tool design, demonstrating his early contributions to engineering and optimization techniques.

7. Structured-Light 3D Scanning of Exhibited Historical Clothing—A First-Ever Methodical Trial and Its Results
This 2021 Heritage Science study, co-authored by Montusiewicz, represents a pioneering effort in 3D scanning of historical clothing, marking a significant advancement in the field of heritage science.

8. Documenting the Geometry of Large Architectural Monuments Using 3D Scanning—The Case of the Dome of the Golden Mosque of the Tillya-Kori Madrasah in Samarkand
Montusiewicz’s research, published in 2022, focuses on documenting the geometry of significant architectural monuments, highlighting his continued impact on architectural preservation through advanced scanning techniques.

Prof. Montusiewicz’s diverse research, spanning from advanced 3D scanning techniques to the preservation of cultural heritage, underscores his significant contributions to the fields of computer graphics and digital preservation. His innovative approaches and practical applications make him an exemplary candidate for the Best Researcher Award.

Research focus

Based on the provided publications, the research focus appears to be in digital heritage preservation and 3D scanning technologies. The work of J. Montusiewicz and collaborators emphasizes creating and analyzing 3D models of cultural heritage objects, including methods for blind accessibility and the application of scanning technologies for historical artifacts and architecture. This includes comparative studies of different scanning methods and their effectiveness, as well as the development of interactive digital museums. Their research contributes significantly to both the preservation of cultural heritage and the advancement of technological applications in archaeology. 🏛️🔍📏

Publication top notes

K-medoids clustering and fuzzy sets for isolation forest

Preparation of 3D models of cultural heritage objects to be recognised by touch by the blind—case studies

Comparative analysis of digital models of objects of cultural heritage obtained by the “3D SLS” and “SfM” methods

3D Scanning and Visualization of Large Monuments of Timurid Architecture in Central Asia–A Methodical Approach

Virtual and interactive museum of archaeological artefacts from Afrasiyab–an ancient city on the silk road

A decomposition strategy for multicriteria optimization with application to machine tool design

Structured-light 3D scanning of exhibited historical clothing—a first-ever methodical trial and its results

 

ZAIN ANWAR ALI | Computer Science | Best Researcher Award

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ZAIN ANWAR ALI | Computer Science | Best Researcher Award

Dr ZAIN ANWAR ALI, MAYNOOTH UNIVERSITY, Ireland

Based on Dr. Zain Anwar Ali’s comprehensive academic and research profile, he is a strong candidate for the Best Researcher Award. Dr. Zain Anwar Ali is a distinguished researcher with a Ph.D. in Control Theory & Control Engineering from Nanjing University of Aeronautics & Astronautics (2017). His expertise spans across Control Theory, Robotics, and Bio-Inspired Computation, with significant contributions to the field of electronic engineering. His extensive academic background includes a Master’s in Industrial Control & Automation and a Bachelor’s in Electronic Engineering.

Publication profile

google scholar

Current Position

Dr. Ali is a Senior Post Doctoral Researcher at the National University of Ireland, Maynooth, working on a cutting-edge project on the control co-design and optimization of wave energy converters funded by prominent institutions including Science Foundation Ireland and the National Science Foundation (USA).

Previous Roles

He has held prominent positions such as Associate Professor at Jiaying University, China, and Sir Syed UET, Pakistan, where he contributed to various courses and led research clusters in bio-inspired computation. His role also included serving as an editor for research journals.

Technical Expertise

Dr. Ali is proficient in multiple programming languages and research methodologies, including computational modeling, experimental design, and data-driven simulations. His technical skills enable him to develop advanced electronic systems and software solutions.

Scholarships and Grants

He has secured substantial funding for his research, including a significant postdoctoral grant from the China Postdoctoral Council and various other research grants totaling over €600K. His research grants support projects in smart agriculture, robotics, and underwater vehicles.

Research Publications

With approximately 35 publications, Dr. Ali has made notable contributions to the field, including studies on UAVs, swarm robotics, and fuzzy-based control algorithms. His work is published in reputable journals and conferences.

Professional Affiliations

Dr. Ali is a Senior Member of IEEE and holds memberships in various international engineering and robotics societies. He is also a representative for the Belt & Road Alliance for Sensing and IoT Collaboration.

Social Responsibility

His involvement extends to social responsibility, including contributions to the Federation of Pakistan Chamber of Commerce and Industry’s Solar Energy standing committee and other engineering associations.

Conclusion

Dr. Ali’s extensive research achievements, innovative contributions, and leadership in the field make him a highly suitable candidate for the Best Researcher Award.

Publication top notes

An overview of various kinds of wind effects on unmanned aerial vehicle

Automatic fish species classification using deep convolutional neural networks

A review of different designs and control models of remotely operated underwater vehicle

Hybrid anomaly detection by using clustering for wireless sensor network

Cooperative path planning of multiple UAVs by using max–min ant colony optimization along with cauchy mutant operator

Optimization methods applied to motion planning of unmanned aerial vehicles: A review

Collective motion and self-organization of a swarm of UAVs: A cluster-based architecture

Multi-unmanned aerial vehicle swarm formation control using hybrid strategy

Fuzzy-based hybrid control algorithm for the stabilization of a tri-rotor UAV