Ms. Shakila Rahman | Computer Engineering | Best Researcher Award

Ms. Shakila Rahman | Computer Engineering | Best Researcher Award

Ms. Shakila Rahman , American International University – Bangladesh (AIUB)

Shakila Rahman ๐Ÿ‡ง๐Ÿ‡ฉ is a Lecturer at the Department of Computer Science, AIUB ๐Ÿซ. She earned her M.Sc. in AI & Computer Engineering ๐Ÿค– from the University of Ulsan, South Korea ๐Ÿ‡ฐ๐Ÿ‡ท, with a CGPA of 4.00/4.50 ๐Ÿ“š. Her research spans UAV networking ๐Ÿš, wireless sensor networks ๐ŸŒ, and machine learning ๐Ÿง . She actively supervises undergraduate projects ๐Ÿ‘ฉโ€๐Ÿ’ป and has published in reputed journals ๐Ÿ“–. With experience in academia and applied computing, she contributes passionately to AI and emerging technologies ๐Ÿ’ก. She is also active on ResearchGate, ORCID, and LinkedIn ๐ŸŒ.

Professional Profile:

Orcid

๐Ÿ”น Education & Experienceย 

Shakila Rahman completed her M.Sc. in AI & Computer Engineering ๐ŸŽ“ from the University of Ulsan, South Korea ๐Ÿ‡ฐ๐Ÿ‡ท, and her B.Sc. in Computer Science & Engineering from IIUC ๐Ÿ‡ง๐Ÿ‡ฉ. Currently, she serves as a Lecturer ๐Ÿ‘ฉโ€๐Ÿซ at American International University-Bangladesh (AIUB), where she teaches core computing subjects ๐Ÿ’ป. She previously worked as a Graduate Research Assistant in South Korea ๐Ÿ”ฌ and as an Undergraduate Teaching Assistant at IIUC ๐Ÿ‘ฉโ€๐Ÿ”ฌ. Her experience blends international research, teaching, and real-world project supervision ๐ŸŒ. She is skilled in Python, Java, and C++ ๐Ÿง‘โ€๐Ÿ’ป, and fosters student innovation through hands-on learning ๐Ÿงช.

๐Ÿ”น Professional Development

Shakila has enhanced her technical skillset through multiple workshops and training programs ๐Ÿ› ๏ธ. She completed web development ๐Ÿ’ป at BASIS BITM, mobile game/app development ๐ŸŽฎ with Bangladesh ICT Division, and Android app development ๐Ÿค– with Affable Technology. As a competitive programmer, she participated in ICPC, NGPC, and UVA online judges ๐Ÿ†. During her B.Sc., she joined industrial events like the Tech Summit by LEADS Corporation ๐Ÿ‘ฉโ€๐Ÿ’ผ. These initiatives equipped her with a dynamic understanding of both academic theory and industry practices ๐ŸŒ. She is also an IELTS-certified English communicator with a score of 6.0 ๐Ÿ‡ฌ๐Ÿ‡ง๐Ÿ—ฃ๏ธ.

๐Ÿ”น Research Focus

Shakila Rahman’s research lies at the intersection of AI and networking technologies ๐Ÿค–๐ŸŒ. Her main focus includes UAV Networking ๐Ÿš, Wireless Sensor Networks ๐Ÿ›ฐ๏ธ, Network Systems ๐Ÿ–ง, and Optimization Algorithms ๐Ÿ”. She also works with Machine Learning ๐Ÿง , Deep Learning ๐Ÿงฌ, Image Processing ๐Ÿ–ผ๏ธ, and AR/VR applications in AI ๐Ÿฅฝ. Her work emphasizes solving real-world challenges like obstacle detection, fire/smoke recognition ๐Ÿ”ฅ๐Ÿšจ, and human activity classification ๐Ÿšถโ€โ™‚๏ธ๐Ÿšจ. She publishes in SCIE and SCOPUS-indexed journals ๐Ÿ“š, contributing to the academic community with innovations in intelligent systems and computer vision ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ.

๐Ÿ”น Awards & Honorsย 

Shakila Rahman has received prestigious academic honors ๐Ÿ…, including the Brain Korea Scholarship (BK21) ๐Ÿ’ฐ during her M.Sc. at the University of Ulsan ๐Ÿ‡ฐ๐Ÿ‡ท. She was also awarded the fully funded AF1 Scholarship worth approx. $21,000 USD ๐ŸŽ“๐Ÿ’ต. Her research was supported by the National Research Foundation of Korea (NRF) ๐Ÿ‡ฐ๐Ÿ‡ท for multiple publications ๐Ÿ“‘. These recognitions highlight her academic excellence ๐ŸŒŸ, research potential ๐Ÿ”ฌ, and commitment to global scientific collaboration ๐ŸŒ. Her accolades stand as a testament to her dedication and passion in the field of Artificial Intelligence and networked systems ๐Ÿš€๐Ÿ“ก.

Publication Top Notes:

๐Ÿง  Bilingual Sign Language Recognition: A YOLOv11-Based Model for Bangla and English Alphabets

  • Journal: Journal of Imaging

  • Year: 2025

  • Citations: 0

  • Summary: This study presents a YOLOv11-based model designed for real-time recognition of Bangla and English sign language alphabets. The model aims to bridge communication gaps for the hearing-impaired by accurately detecting and classifying sign language gestures.


๐Ÿ™๏ธ Towards Safer Cities: AI-Powered Infrastructure Fault Detection Based on YOLOv11

  • Journal: Future Internet

  • Year: 2025

  • Citations: 0

  • Summary: This research introduces an AI-driven approach utilizing YOLOv11 for detecting infrastructure faults in urban environments. The model enhances city safety by enabling prompt identification and maintenance of structural issues.


๐Ÿงด A Hybrid CNN Framework DLI-Net for Acne Detection with XAI

  • Journal: Journal of Imaging

  • Year: 2025

  • Citations: 0

  • Summary: The study proposes DLI-Net, a hybrid CNN framework combining DeepLabV3 for segmentation and InceptionV3 for classification, to detect and classify acne lesions. Achieving a 97% accuracy rate, the model incorporates Grad-CAM for explainable AI, enhancing transparency in dermatological diagnostics.


๐Ÿš A Deep Q-Learning Based UAV Detouring Algorithm in a Constrained Wireless Sensor Network Environment

  • Journal: Electronics

  • Year: 2025

  • Citations: 0

  • Summary: This paper presents a Deep Q-Learning algorithm for unmanned aerial vehicles (UAVs) to navigate efficiently within constrained wireless sensor networks. The approach optimizes detouring strategies, enhancing UAV performance in complex environments.


๐Ÿ›ก๏ธ A Deep Learning Model for YOLOv9-based Human Abnormal Activity Detection: Violence and Non-Violence Classification

  • Journal: Iranian Journal of Electrical and Electronic Engineering

  • Year: 2024

  • Citations: 0

  • Summary: The research develops a YOLOv9-based deep learning model to classify human activities as violent or non-violent. Aimed at enhancing surveillance systems, the model contributes to improved public safety through accurate activity detection.

โœ… Conclusion

Shakila Rahman is a highly suitable candidate for the Best Researcher Award due to her blend of academic excellence, innovative research, international exposure, and impactful contributions to AI and networking fields. Her work not only advances fundamental knowledge but also targets practical challenges, demonstrating a research trajectory with strong future promise. Recognizing her with this award would celebrate her achievements and encourage continued excellence in emerging technology domains. ๐Ÿš€๐Ÿค–๐Ÿ“ก

Prof. Dr. Li-Hong Juang | Robotics | Best Researcher Award

Prof. Dr. Li-Hong Juang | Robotics | Best Researcher Award

Prof. Dr. Li-Hong Juang , Nanjing university of information science and technology, China

Dr. Li-Hong Juang ๐Ÿ‡น๐Ÿ‡ผ is a distinguished professor at Nanjing University of Information Science and Technology, specializing in artificial intelligence ๐Ÿค–, robotics, and computer vision ๐ŸŽฅ. With a Ph.D. in Electrical Engineering from Leicester University, UK ๐ŸŽ“, Dr. Juang has over two decades of academic and industry experience, contributing to cutting-edge advancements in humanoid robotics and intelligent automation โš™๏ธ. He has published extensively in high-impact journals ๐Ÿ“š and continues to inspire innovation through his research in smart systems. Beyond academia, Dr. Juang enjoys playing badminton ๐Ÿธ and actively fosters collaboration in global AI initiatives ๐ŸŒ.

Professional Profile

Scopus

Suitability

Dr. Li-Hong Juang stands out as an ideal candidate for the Best Researcher Award due to his extensive contributions to artificial intelligence ๐Ÿค–, robotics ๐Ÿค–, and computer vision ๐ŸŽฅ. With over two decades of combined academic and industrial experience, Dr. Juang has demonstrated exceptional leadership and innovation in humanoid robotics and intelligent automation โš™๏ธ. His prolific publication record in high-impact journals ๐Ÿ“š and his global reputation as a thought leader in AI research further solidify his credentials for this prestigious honor.

Education & Experience

  • ๐ŸŽ“ B.S. in Civil Engineering: National Chiao Tung University, Taiwan (1987โ€“1990)
  • ๐ŸŽ“ M.S. in Applied Mechanics: National Taiwan University, Taiwan (1991โ€“1993)
  • ๐ŸŽ“ Ph.D. in Electrical Engineering: Leicester University, UK (2003โ€“2006)
  • ๐Ÿญ Senior Engineer: Han-Shin Aeronautic Industry Development Co., Ltd., Taiwan (1999โ€“2002)
  • ๐Ÿ‘จโ€๐Ÿซ Assistant Professor: National Chung-Hsing University, Taiwan (2006โ€“2010)
  • ๐Ÿ‘จโ€๐Ÿ”ฌ Associate Professor: Universiti Teknologi Malaysia, Malaysia (2010โ€“2012)
  • ๐Ÿ‘จโ€๐Ÿซ Professor: Shantou University, China (2012โ€“2015)
  • ๐ŸŒŸ Chair Professor: National HuaQiao University, China (2015โ€“2018)
  • ๐Ÿ’ก Distinguished Professor: Xiamen University of Technology, China (2018โ€“2022)
  • ๐Ÿค– Professor: Nanjing University of Information Science and Technology, China (2023โ€“Present)

Professional Developmentย 

Dr. Li-Hong Juang has consistently advanced in his career through academic excellence and groundbreaking research ๐Ÿง . His experience spans leadership roles across prestigious institutions in Taiwan, Malaysia, and China ๐ŸŒ. As a Chair and Distinguished Professor, he led interdisciplinary teams to innovate in humanoid robotics ๐Ÿค– and control systems โš™๏ธ. Beyond teaching, Dr. Juang has played a pivotal role in integrating artificial intelligence into practical applications ๐ŸŽฏ, including smart automation. His professional development reflects a commitment to lifelong learning ๐Ÿ“– and fostering global collaboration ๐Ÿค to address emerging technological challenges ๐ŸŒŸ.

Research Focusย 

Dr. Juangโ€™s research centers on robotics ๐Ÿค–, artificial intelligence ๐Ÿง , and computer vision ๐ŸŽฅ, with a specific focus on humanoid robotics and intelligent control systems โš™๏ธ. His innovative work includes creating visual navigation systems for robots, developing robust control mechanisms for motion stability, and enabling AI-driven decision-making in automation ๐ŸŒ. He integrates advanced algorithms ๐Ÿ”ข to optimize robotics applications, bridging theoretical knowledge with real-world solutions ๐ŸŒŸ. His research significantly impacts smart systems and paves the way for the next generation of intelligent machines ๐Ÿ’ก. Dr. Juang’s passion lies in solving complex problems through technology-driven solutions ๐Ÿš€.

Awards & Honors

  • ๐Ÿ… Best Research Paper Award, Multimedia Tools and Applications (2023)
  • ๐Ÿ† Excellence in Robotics Innovation, National Robotics Society, Taiwan (2020)
  • ๐Ÿฅ‡ Distinguished Scholar Award, Xiamen University of Technology, China (2019)
  • ๐ŸŒŸ Outstanding Contribution to AI Research, IEEE Access (2018)
  • ๐ŸŽ–๏ธ Best Teaching Excellence Award, Universiti Teknologi Malaysia (2011)

Publication Top notes

  • โ™Ÿ๏ธ “Humanoid robots play chess using visual control” โ€“ Multimedia Tools and Applications , cited by 7 ๐Ÿ“Š.
  • ๐Ÿค– “Humanoid robot runs up-down stairs using zero-moment with supporting polygons control” โ€“ Multimedia Tools and Applications ,ย  cited by 2 ๐Ÿ“Š.
  • ๐Ÿงญ “Humanoid robot runs maze mode using depth-first traversal algorithm” โ€“ Multimedia Tools and Applications , cited by 2 ๐Ÿ“Š.
  • ๐Ÿ‘๏ธ “Humanoid robot fetching objects using monocular vision unit” โ€“ Multimedia Tools and Applications (2023), cited by 3 ๐Ÿ“Š.
  • ๐ŸŽจ “Multi-target objects and complex color recognition model based on humanoid robot” โ€“ Multimedia Tools and Applications , cited by 2 ๐Ÿ“Š.