A S M Ahsanul Sarkar Akib | Cyber Threat | Best Researcher Award

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Mr. A S M Ahsanul Sarkar Akib | Cyber Threat | Best Researcher Award

Managing Director at Robo Tech Valley, Bangladesh

Mr. A.S.M. Ahsanul Sarkar Akib is a highly accomplished robotics and technology expert based in Bangladesh. He holds a Bachelor of Science in Engineering from the Bangladesh University of Business and Technology, specializing in Computer Science and Engineering. With a strong passion for robotics, IoT, and drone development, he has gained extensive experience in the field through roles such as Technical Director at the Japan-Bangladesh Robotics and Advanced Technology Research Centre, and Robotics Trainer at various universities. Additionally, he is the Founder & CEO of Dhopa Elo Online Laundry Service and Robo Tech Valley & Shop. Mr. Akib has also earned several accolades, including multiple championships in robotics competitions such as Ureckon 19 in India and Technocracy 2019 in Bangladesh. His innovative projects include humanoid robots, self-learning AI educational robots, and IoT-based solutions for water turbines and smart door systems.

 

Profile

Google Scholar

ORCID

Education

Mr. A.S.M. Ahsanul Sarkar Akib has a robust academic foundation, highlighted by his Bachelor of Science (B.Sc.) in Engineering from the Department of Computer Science and Engineering at Bangladesh University of Business and Technology. His academic journey is marked by exceptional achievements, including a GPA of 4.94 in his Higher Secondary Certificate (HSC) examinations from Cantonment Public School and College (BUSMS) under the Dinajpur Board, specializing in science. He also excelled in his Secondary School Certificate (SSC) examinations, attaining a GPA of 4.75 from the same institution. These accomplishments reflect his strong analytical abilities and dedication to academic excellence.

 Experience

Mr. A.S.M. Ahsanul Sarkar Akib has a diverse and extensive professional background in robotics, technology, and entrepreneurship. He has been serving as the Technical Director at the Japan-Bangladesh Robotics and Advanced Technology Research Centre since May 2018, where he plays a key role in advancing research and development in robotics. Additionally, he worked as a Robotics Trainer at BGC Trust University (Chattogram) and the National Academy for Computer Training and Research (NACTAR) in 2020. Mr. Akib also served as a Project Coordinator and Researcher at the Bangladesh Advance Robotics Research Center in 2018 and worked as a Robotics Engineer at Rafusoft Software and Robotics Firm between 2017 and 2018. Throughout his career, he has contributed to various robotics workshops across leading universities in Bangladesh, including Dhaka University, NSU, and Brac University. As an entrepreneur, Mr. Akib is the Founder & CEO of Dhopa Elo Online Laundry Service and the Founder & Managing Director of Robo Tech Valley & Shop, where he continues to drive innovation in both technology and business.

Research Interests

Mr. A.S.M. Ahsanul Sarkar Akib’s research interests lie in the fields of robotics, Internet of Things (IoT), and drone development. He focuses on developing cutting-edge technologies such as self-learning AI systems, humanoid robots, and IoT-based automation solutions. His work includes designing innovative projects like the Humanoid Bangla AI Robot “Bongo,” a self-learning educational robot, and various robotics systems for renewable energy applications, including hydro power water turbines and automated fish farming solutions. Mr. Akib is also passionate about developing IoT-based systems for smart home automation, water monitoring, and waste management. Through his research, he aims to push the boundaries of robotics and IoT technologies to improve daily life and contribute to sustainable development.

Skills

Mr. A.S.M. Ahsanul Sarkar Akib possesses a diverse set of technical skills, with expertise in robotics, IoT, and drone development. He is proficient in programming languages such as C, C++, Java, and Python, and has hands-on experience with Robotics Operating Systems (ROS). His technical skills also include working with Latex for documentation, and he is adept at designing and developing complex robotics systems. Additionally, Mr. Akib has specialized knowledge in the creation of self-learning AI models and the development of IoT-based solutions for smart homes, water monitoring systems, and renewable energy projects. His skills in project coordination and leadership, coupled with his deep understanding of cutting-edge technology, have made him a valuable asset in various robotics and technology-driven initiatives.

 

Publications

Artificial Intelligence Humanoid Bongo Robot in Bangladesh

  • Conference: 2019 1st International Conference on Advances in Science, Engineering, and Technology
  • Cited By: 22
  • Year: 2019

Future Micro Hydro Power: Generation of Hydroelectricity and IoT-Based Monitoring System

  • Conference: 2021 International Conference on Innovation and Intelligence for Informatics
  • Cited By: 4
  • Year: 2021

Precision Fish Farming to Mitigate Pond Water Quality Through IoT

  • Conference: 2024 IEEE 3rd International Conference on Computing and Machine Intelligence
  • Cited By: 1
  • Year: 2024

Computer Vision-Based IoT Architecture for Post-COVID-19 Preventive Measures

  • Journal: Journal of Advances in Information Technology
  • Volume: 14 (1), Pages: 7-19
  • Cited By: 5
  • Year: 2023

IoT-Based Smart Remote Door Lock and Monitoring System Using an Android Application

  • Journal: Engineering Proceedings
  • Volume: 76 (1), Pages: 85
  • Year: 2024

Conclusion

Mr. A.S.M. Ahsanul Sarkar Akib’s academic excellence, innovative research, and diverse professional achievements make him a strong candidate for the Best Researcher Award. His groundbreaking projects, technical expertise, and dedication to advancing robotics and IoT position him as a leader in his field, deserving of recognition for his contributions to science and technology.

Boquan Li | Cyber Threat | Best Researcher Award

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Dr. Boquan Li | Cyber Threat | Best Researcher Award

Assistant Professor at College of Computer Science and Technology, Harbin Engineering University, China

Dr. Boquan Li is a Tenure Track Associate Professor at the College of Computer Science and Technology, Harbin Engineering University, where he has served since January 2024. Prior to this, he was a Research Scientist at the School of Computing and Information Systems, Singapore Management University, from April 2022 to December 2023. Dr. Li holds a Ph.D. in Information Engineering from the University of Chinese Academy of Sciences and a Bachelor of Engineering from Harbin Engineering University. His research interests focus on artificial intelligence, cybersecurity, deepfake detection, and speaker recognition, with numerous publications in leading international conferences and journals. Dr. Li is also an active peer reviewer for prestigious journals like IEEE Transactions on Software Engineering.

Profile:

Education:

Dr. Boquan Li holds a Doctor of Philosophy (Ph.D.) from the University of Chinese Academy of Sciences, where he specialized in Information Engineering at the Institute of Information Engineering. He completed his Ph.D. in January 2022, building a strong foundation in artificial intelligence, cybersecurity, and data science. Prior to his doctoral studies, Dr. Li earned a Bachelor of Engineering degree from the School of Software at Harbin Engineering University in June 2016. His comprehensive academic background has equipped him with expertise in cutting-edge technologies, enabling him to contribute significantly to research in AI and cybersecurity.

Professional Experience:

Dr. Boquan Li has a diverse professional background in both academia and research. Since January 2024, he has been serving as a Tenure Track Associate Professor at the College of Computer Science and Technology, Harbin Engineering University, where he contributes to teaching and research in artificial intelligence and cybersecurity. Prior to this role, Dr. Li worked as a Research Scientist at the School of Computing and Information Systems, Singapore Management University, from April 2022 to December 2023. In this capacity, he was involved in cutting-edge research on deepfake detection, speaker recognition, and digital forensics. His professional experience highlights his expertise in developing innovative solutions to cybersecurity challenges and advancing research in AI-driven technologies.

Research Interests:

Dr. Boquan Li’s research interests focus on cutting-edge areas of artificial intelligence, cybersecurity, and multimedia forensics. He is particularly interested in deepfake detection, where he explores the vulnerabilities and robustness of detection systems across various domains. His work also covers speaker recognition, digital forensics, and adversarial attacks, aiming to develop defense mechanisms against cyber threats. Additionally, Dr. Li has a strong interest in cross-modal fusion techniques, particularly in audio-visual speech recognition, and domain adaptation methods for enhancing the accuracy of AI models across diverse datasets. His research contributes to advancing secure and reliable AI systems.

Skills:

Dr. Boquan Li possesses a diverse skill set that encompasses advanced computational techniques and a robust understanding of artificial intelligence and machine learning algorithms. He is proficient in developing and implementing deep learning models, particularly for applications in image and audio processing. His expertise extends to cybersecurity measures, with a focus on identifying vulnerabilities in AI systems and creating effective defense strategies against adversarial attacks. Additionally, Dr. Li is skilled in data analysis and statistical methods, enabling him to interpret complex datasets and derive meaningful insights. His strong programming skills in languages such as Python and proficiency with machine learning frameworks like TensorFlow and PyTorch further enhance his research capabilities in the field of computer science and technology.

Conclusion:

Dr. Boquan Li’s research addresses critical issues in AI security, deepfake detection, and adversarial defenses, areas of increasing importance in today’s technological landscape. His innovative work, combined with his academic and research experience, positions him as a strong candidate for the Best Researcher Award. His contributions have practical applications in cybersecurity and AI ethics, demonstrating both academic excellence and real-world impact.

Publication Top Noted:

  • How Generalizable are Deepfake Image Detectors? An Empirical Study
  • Two-stage Semi-supervised Speaker Recognition with Gated Label Learning
    • Authors: Xingmei Wang, Jiaxiang Meng, Kong Aik Lee, Boquan Li, Jinghan Liu
    • Year: 2024
    • Conference: International Joint Conference on Artificial Intelligence
    • Type: Conference paper
  • Assessing Backdoor Risk in Deepfake Detectors
    • Authors: Jiawen Wang, Boquan Li, Min Yu, Kam-Pui Chow, Jianguo Jiang, Fuqiang Du, Xiang Meng, Weiqing Huang
    • Year: 2024
    • Conference: IFIP WG 11.9 International Conference on Digital Forensics
    • Type: Conference paper
  • CATNet: Cross-Modal Fusion for Audio–Visual Speech Recognition
    • Authors: Xingmei Wang, Jiachen Mi, Boquan Li, Yixu Zhao, Jiaxiang Meng
    • Year: 2024
    • Journal: Pattern Recognition Letters
    • DOI: 10.1016/j.patrec.2024.01.002
  • A Residual Fingerprint-Based Defense Against Adversarial Deepfakes
  • FakeFilter: A Cross-Distribution Deepfake Detection System with Domain Adaptation
    • Authors: Jianguo Jiang, Boquan Li, Baole Wei, Gang Li, Chao Liu, Weiqing Huang, Meimei Li, Min Yu
    • Year: 2021
    • Journal: Journal of Computer Security
    • DOI: 10.3233/jcs-200124
  • Restoration as a Defense Against Adversarial Perturbations for Spam Image Detection
    • Authors: Jianguo Jiang, Boquan Li, Min Yu, Chao Liu, Weiqing Huang, Lejun Fan, Jianfeng Xia
    • Year: 2019
    • Conference: International Conference on Artificial Neural Networks
    • DOI: 10.1007/978-3-030-30508-6_56