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

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

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

๐Ÿง‘โ€๐Ÿซ 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 ๐Ÿค–, fuzzy logic, and smart city innovations ๐ŸŒ†, he has presented at major conferences like ICCIT and BIM. A recipient of the Vice-Chancellor Award ๐Ÿ… and a University Gold Medalist ๐Ÿฅ‡, 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. ๐Ÿ“šโœจ

Publication Profile

Scopus

Academic Qualifications

Mr. Abdul Aziz is an accomplished computer science professional with a strong academic background ๐ŸŽ“. 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 ๐Ÿ’ป. 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 ๐Ÿ†. His academic journey began at Shahid Syed Nazrul Islam College, where he completed his Higher Secondary Certificate in 2012 ๐Ÿ“š. 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 ๐ŸŽ“๐Ÿ’ป. 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 ๐Ÿ“š. Prior to this, he contributed to Northern University of Business and Technology Khulna (NUBTK) as a Lecturer from July to December 2017 ๐Ÿซ. With a strong dedication to education and research, Mr. Aziz continues to shape future engineers and drive innovation in computer science ๐Ÿš€๐Ÿ”.

Achievements, Awards, and Certifications

Mr. Abdul Aziz is a distinguished academic and researcher recognized for his outstanding achievements๐Ÿ…. In 2024, he received the Vice-Chancellor Award for High Impact Research Journal Publication๐Ÿ“š. He was the University Gold Medalist in 2018 for securing 1st position in his graduating class๐Ÿฅ‡. From 2013 to 2016, Abdul earned the University Vocational Scholarship and the Deanโ€™s Award for ranking among the top 10% of students for four consecutive years๐Ÿ†. His programming skills were highlighted in 2014 when he secured 3rd place in one intra-batch contest and 1st place in another๐Ÿ’ป๐Ÿฅ‡.

Membership

Mr. Abdul Aziz is a passionate coach, mentor, and trainer in programming and technology ๐Ÿ’ป. 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) ๐Ÿ†. Aziz serves as an Associate Member of the Institution of Engineers, Bangladesh โš™๏ธ and reviews international conferences. As a trainer for BDSET and ITEE programs, he uplifts digital skills ๐Ÿ“Š. He also organized major events like BitFest 2019 and NHSPC, mentoring future innovators. His journey began as a debate champion ๐ŸŽค.

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 ๐Ÿ ๐Ÿ’ป. In the 4th semester (2014-2015), he created a medical center automation website using PHP, HTML, and MySQL for doctor-patient communication ๐Ÿฅ๐ŸŒ. His 5th semester (2015) featured hospital DBMS design with PL/SQL and Oracle ๐Ÿ“Š. By the 6th semester (2015-2016), he built an Android app for real-time object tracking ๐Ÿ“ฑ๐Ÿ—บ๏ธ and a keypad/Bluetooth-controlled LCD display project using Arduino ๐Ÿ“Ÿ๐Ÿ”ท. In his final semester, he developed a 3D car racing game with C++ and OpenGL ๐Ÿš—๐ŸŽฎ.

Research Focus

Abdul Aziz’s research focuses on applying deep learning ๐Ÿค–, signal processing ๐ŸŽต, and fuzzy logic ๐Ÿ”ข to develop innovative solutions in safety, smart cities ๐ŸŒ†, and mobile applications ๐Ÿ“ฑ. His work spans danger detection for women and children ๐Ÿšจ, city service task distribution ๐Ÿ™๏ธ, and chemical risk evaluation ๐Ÿงช. Additionally, Aziz explores advanced error detection and correction in computing ๐Ÿ’ป. His contributions aim to enhance public safety, improve urban services, and boost system reliability. With publications in top-tier journals ๐Ÿ†, 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

 

ZAIN ANWAR ALI | Computer Science | Best Researcher Award

ZAIN ANWAR ALI | Computer Science | Best Researcher Award

Dr ZAIN ANWAR ALI, MAYNOOTH UNIVERSITY, Ireland

Based on Dr. Zain Anwar Aliโ€™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 Masterโ€™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 โ‚ฌ600K. 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 Industryโ€™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 maxโ€“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