Jacob Kwaku Nkrumah | Detection and Prevention | Best Researcher Award

Posted on by ScienceFather

Dr. Jacob Kwaku Nkrumah | Detection and Prevention | Best Researcher Award

Ph.D student at Jiangsu University, Zhenjiang, China

Dr. Jacob Kwaku Nkrumah is a dedicated academic and researcher specializing in automotive and mechanical engineering. He is currently pursuing a Ph.D. in Vehicle Engineering at Jiangsu University, China, with anticipated completion in December 2024. Dr. Nkrumah holds advanced degrees, including an MPhil in Automotive Engineering and Technology and an M-Tech in Mechanical Engineering Education, complemented by a robust background in teaching and curriculum development. His research focuses on automotive safety systems, innovative engineering solutions, and materials science, with multiple publications in esteemed journals. Dr. Nkrumah’s professional experience includes roles as a lecturer at Tamale Technical University and as a teacher in Ghana’s education system, showcasing his passion for knowledge dissemination and academic excellence.

 

Profile

GOOGLE SCHOLAR

ORCID

Education

Dr. Jacob Kwaku Nkrumah has an impressive educational background that highlights his dedication to advancing his expertise in mechanical and automotive engineering. He is currently pursuing a Ph.D. in Vehicle Engineering at Jiangsu University, Zhenjiang, China, with completion expected in December 2024. He holds an MPhil in Automotive Engineering and Technology (2021) and an M-Tech in Mechanical Engineering Education (2014), both from the University of Education, Winneba, Ghana. In addition, he earned a Diploma in Education from the same institution in 2016. Dr. Nkrumah further strengthened his technical foundation with a B-Tech in Automobile Engineering (2011) from Kwame Nkrumah University of Science and Technology, Kumasi, Ghana, and an HND in Mechanical Engineering (2003) from Tamale Technical University, Ghana. His academic achievements underscore a strong commitment to research and education in engineering disciplines.

Experience

Dr. Jacob Kwaku Nkrumah has extensive teaching and academic experience that spans nearly two decades, showcasing his dedication to education and engineering. From 2017 to 2021, he served as a lecturer in the Automotive Engineering Department at Tamale Technical University, Ghana, where he taught courses such as Engineering Mathematics, Engineering Science, and Engineering Physics. Prior to this, he worked with the Ghana Education Service, first as a teacher at Krachi Senior High School (2012–2017), where he taught Mathematics and Physics, and earlier at Kogni Junior High School (2004–2016), where he was responsible for teaching Science and Mathematics. Dr. Nkrumah began his professional journey as a National Service Personnel at Debokpa Vocational Institute, Tamale, from 2003 to 2004. His diverse roles have equipped him with strong classroom management, conflict resolution, and curriculum development skills, which reflect his commitment to academic excellence and the advancement of engineering education.

Research Interests

Dr. Jacob Kwaku Nkrumah’s research interests are primarily focused on automotive engineering, vehicle safety systems, and mechanical engineering innovations. His work explores the development and enhancement of automotive technologies, particularly in the areas of intelligent lighting systems, headlight beam intensity control, and sensor-based automatic systems for improved driving safety and efficiency. Dr. Nkrumah is also deeply involved in material science, with research on the modal and thermal analysis of components like the internal combustion engine’s connecting rod. His studies aim to contribute to the advancement of vehicle performance, safety, and energy efficiency, as well as the broader field of mechanical engineering through the application of finite element methods and other engineering simulation techniques.

Skills

Dr. Jacob Kwaku Nkrumah possesses a diverse set of skills that enhance his effectiveness as both an educator and a researcher. He is adept at preparing comprehensive lesson notes and has strong classroom management abilities, ensuring a productive and focused learning environment. His skills in conflict management within the classroom have been key in maintaining harmony and fostering effective student engagement. Additionally, Dr. Nkrumah has significant experience in curriculum development, where he has contributed to shaping educational frameworks to meet modern engineering standards. These skills complement his research expertise and his ability to teach complex engineering concepts effectively, making him a well-rounded academic professional.

Awards

Dr. Jacob Kwaku Nkrumah has earned recognition for his outstanding contributions to the field of automotive and mechanical engineering. His dedication to research and education has led to multiple publications in prestigious journals, highlighting his innovative work in automotive safety systems and mechanical engineering. While specific awards are not listed, Dr. Nkrumah’s academic achievements, including his Ph.D. candidacy and successful research projects, reflect his commitment to advancing knowledge and excellence in engineering. His work continues to garner attention and contributes significantly to the academic community, particularly in the realm of vehicle engineering and safety technologies.

 

Publication Top Noted

Title: Assessing the Skills of Roadside Mechanics in Diagnosing and Fixing Problems of Modern Electronic Managed Vehicles in Ghana (Tamale Metropolis)

  • Authors: B Ziblim, J Nkrumah, I Imoro
  • Journal: American Scientific Research Journal for Engineering, Technology, and …
  • Cited by: 7
  • Year: 2018

Title: The evolution of vehicle pneumatic vibration isolation: A systematic review

  • Authors: VA Atindana, X Xu, AN Nyedeb, JK Quaisie, JK Nkrumah, SP Assam
  • Journal: Shock and Vibration
  • Volume: 2023(1)
  • Article Number: 1716615
  • Cited by: 6
  • Year: 2023

Title: A novel semi-active control of an integrated chassis and seat quasi-zero stiffness suspension system for off-road vehicles

  • Authors: VA Atindana, X Xu, NJ Kwaku, A Akayeti, X Jiang
  • Journal: Journal of Vibration and Control
  • Article Number: 10775463231224835
  • Cited by: 5
  • Year: 2024

Title: Analysis of the material properties of vehicle suspension coil spring

  • Authors: I Imoro, JK Nkrumah, B Ziblim, AH Mohammed
  • Journal: World Journal of Engineering and Technology
  • Volume: 11
  • Issue: 4
  • Pages: 827-858
  • Cited by: 4
  • Year: 2023

Title: Experimental design and optimization of pneumatic low-frequency driver seat for off-road vehicles: quasi-zero negative stiffness and gray wolf optimization algorithm

  • Authors: VA Atindana, X Xu, L Huan, A Nirere, AN Nyedeb, JK Quaisie, NJ Kwaku, …
  • Journal: Journal of the Brazilian Society of Mechanical Sciences and Engineering
  • Volume: 45
  • Cited by: 4
  • Year: 2023

Title: Review of Suspension Control and Simulation of Passive, Semi-Active and Active Suspension Systems Using Quarter Vehicle Model

  • Authors: DIO Jacob Kwaku Nkrumah, Kwabla Sherry Amedorme, Baba Ziblim
  • Journal: American Academic Scientific Research Journal for Engineering, Technology …
  • Cited by: 2
  • Year: 2022

Title: A review of automotive intelligent and adaptive headlight beams intensity control approaches

  • Authors: JK Nkrumah, Y Cai, A Jafaripournimchahi
  • Journal: Advances in Mechanical Engineering
  • Volume: 16
  • Issue: 4
  • Article Number: 16878132231220355
  • Cited by: 1
  • Year: 2024

Conclusion

Dr. Jacob Kwaku Nkrumah exemplifies the qualities of an outstanding researcher. His dedication to advancing automotive safety and efficiency, combined with his academic contributions and educational impact, make him a strong contender for the Best Researcher Award. His work addresses critical challenges in engineering, offering innovative solutions with practical applications, which aligns with the award’s mission to recognize excellence in research.

Yuxing Yang | Detection and Prevention | Best Researcher Award

Posted on by ScienceFather

Dr. Yuxing Yang | Detection and Prevention | Best Researcher Award

Postdoctoral at Xi’an Jiaotong-Liverpool University, China

Dr. Yuxing Yang is a dedicated researcher specializing in abnormal event detection, human action recognition, and multi-feature detection frameworks. He is currently pursuing his PhD in Engineering at Newcastle University, UK, focusing on developing novel frameworks for detecting abnormal events in video. Dr. Yang holds a Master’s degree in Electrical and Electronics Engineering from Newcastle University and a Bachelor’s degree in the same field from the University of Liverpool. His research experience spans signal processing, machine learning, and deep learning, with numerous publications in top-tier journals and conferences. Dr. Yang has also served as a Teaching Assistant and Research Assistant, mentoring students and contributing to key projects in multimodal security and video surveillance. His technical expertise, coupled with his leadership in academic and social initiatives, has earned him several accolades, including recognition for outstanding research presentations.

Profile:

Education:

Dr. Yuxing Yang has an extensive academic background in electrical and electronics engineering. He is currently pursuing a PhD in Engineering at Newcastle University, UK, where his research focuses on developing novel frameworks for multi-feature abnormal event detection in video. His PhD work addresses complex challenges in video anomaly detection, employing advanced signal processing and information fusion techniques under the supervision of Dr. Syed Mohsen Naqvi. Dr. Yang also holds a Master of Electrical and Electronics Engineering degree from Newcastle University, where he worked on a dissertation titled “PHD Filter for Multiple Human Tracking.” During his Master’s program, he studied modules such as Signal Processing, Modulation and Coding, Internet of Things, and Wireless Network Technologies. Dr. Yang earned his Bachelor’s degree in Electrical and Electronics Engineering from the University of Liverpool, where his dissertation explored the use of fluorescence for monitoring water quality. His academic journey has equipped him with deep expertise in embedded systems, digital and wireless communications, and engineering management.

Professional Experience:

Dr. Yuxing Yang has gained valuable professional experience through his research and teaching roles at Newcastle University, UK. From 2018 to 2023, he served as an MSc Research Assistant with the Intelligent Sensing and Communications (ISC) research group. In this role, he guided MSc students on projects related to signal processing, machine learning, and video anomaly detection. He played a crucial role in advising students, refining their research findings, and supporting the presentation of their work. Additionally, Dr. Yang worked as a Research Assistant on the 2021 EPSRC IAA project titled “Multimodal Human Security,” where he contributed to enhancing detection accuracy in security surveillance using multimodal data. His work on this project led to a publication at the IEEE International Conference on Information Fusion. Furthermore, Dr. Yang held a position as a Teaching Assistant and Lab Demonstrator at Newcastle University from 2018 to 2022, where he taught and mentored undergraduate and master’s students, providing instruction on theoretical concepts, lab equipment, and experiment conduction, while also assisting with grading and course evaluations.

Research Interests:

Dr. Yuxing Yang’s research interests lie at the intersection of video anomaly detection and human behavior analysis, with a particular focus on advanced techniques in machine learning and signal processing. His work includes multiple human tracking, image segmentation, human action recognition, and multi-feature abnormal event detection in video. Dr. Yang is passionate about developing novel frameworks that enhance the accuracy and efficiency of video surveillance systems, especially in detecting abnormal events in complex environments. His research contributes to advancements in security systems, where multi-modal data fusion and real-time anomaly detection are critical for improving public safety and monitoring.

Skills:

Dr. Yuxing Yang possesses a diverse skill set, with expertise in programming languages and tools critical to his research in video anomaly detection and signal processing. He is proficient in Python, particularly in machine learning frameworks such as Keras, TensorFlow, and PyTorch. Additionally, Dr. Yang is skilled in MATLAB, which he uses extensively for algorithm development and data analysis. His experience with Latex allows him to efficiently prepare academic papers, while his knowledge of Linux Basics ensures a strong foundation in system operations and scripting. These technical skills enable him to develop and implement advanced algorithms for human-related abnormal event detection and security surveillance.

Conclusion:

Dr. Yuxing Yang’s solid academic background, innovative research in abnormal event detection, and extensive teaching experience, coupled with his leadership and contributions to community awareness, make him a suitable and competitive candidate for the Best Researcher Award. His dedication to advancing knowledge in video surveillance and anomaly detection is evident through his numerous publications, research contributions, and awards.

Publication Top Noted:

Abnormal event detection for video surveillance using an enhanced two-stream fusion method

  • Authors: Y. Yang, Z. Fu, S. M. Naqvi
  • Journal: Neurocomputing
  • Year: 2023
  • Volume: 553, Article 126561
  • Cited by: 15
  • DOI: 10.1016/j.neucom.2023.126561

Enhanced adversarial learning-based video anomaly detection with object confidence and position

  • Authors: Y. Yang, Z. Fu, S. M. Naqvi
  • Conference: 2019 13th International Conference on Signal Processing and Communication
  • Year: 2019
  • Cited by: 14
  • DOI: 10.1109/icspcc46631.2019.8962857

A two-stream information fusion approach to abnormal event detection in video

  • Authors: Y. Yang, Z. Fu, S. M. Naqvi
  • Conference: ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing
  • Year: 2022
  • Cited by: 13
  • DOI: 10.1109/icassp43922.2022.9746515

Pose-driven human activity anomaly detection in a CCTV-like environment

  • Authors: Y. Yang, F. Angelini, S. M. Naqvi
  • Journal: IET Image Processing
  • Year: 2023
  • Volume: 17, Issue 3, Pages 674-686
  • Cited by: 10
  • DOI: 10.1049/ipr2.12876

Video anomaly detection for surveillance based on effective frame area

  • Authors: Y. Yang, Y. Xian, Z. Fu, S. M. Naqvi
  • Conference: 2021 IEEE 24th International Conference on Information Fusion (FUSION)
  • Year: 2021
  • Cited by: 8
  • DOI: 10.23919/fusion49465.2021.9626892

Skeleton-based fall events classification with data fusion

  • Authors: L. Xie, Y. Yang, F. Zeyu, S. M. Naqvi
  • Conference: 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)
  • Year: 2021
  • Cited by: 5
  • DOI: 10.1109/MFI52462.2021.9604344

One-shot medical action recognition with a cross-attention mechanism and dynamic time warping

  • Authors: L. Xie, Y. Yang, Z. Fu, S. M. Naqvi
  • Conference: ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing
  • Year: 2023
  • Cited by: 4
  • DOI: 10.1109/icassp49357.2023.10095933

Action-based ADHD diagnosis in video

  • Authors: Y. Li, Y. Yang, S. M. Naqvi
  • Platform: arXiv preprint
  • Year: 2024
  • Cited by: 2
  • DOI: arXiv:2409.02261

Position and Orientation-Aware One-Shot Learning for Medical Action Recognition from Signal Data

  • Authors: L. Xie, Y. Yang, Z. Fu, S. M. Naqvi
  • Platform: arXiv preprint
  • Year: 2023
  • Cited by: 1
  • DOI: arXiv:2309.15635