Jamal Firmat Banzi

Name: Jamal Firmat Banzi (PhD)

Position: Senior Lecturer

Address: P.O.BOX 3167

Phone: +255 716 074738

Email: jamalbanzi@sua.ac.tz

Research Profiles: Google scholar && Researchgate  &&  Linkedin&& Academia

BIOGRAPHY

Dr. Jamal Banzi is a Lecturer of Computer Science specializing in Artificial Intelligence in the Department of Tourism and Reaction at the Sokoine University of Agriculture. Dr. Banzi obtained his BSc. degree in Information Systems from the University of Dodoma, Tanzania in 2011. He then went for a Master’s study and obtained an MSc. in Signal and Information Processing Engineering, at Tianjin University of Technology and Education in 2015. He joined the Sokoine University of Agriculture in the year 2015 as an Assistant lecturer. In 2019, he obtained a Ph.D. in Information and Communication Engineering specializing in Artificial Intelligence from the University of Science and Technology of China(USTC).

Dr. Banzi’s current research interests include cognitively Inspired AI, AI+ healthcare, Computer Vision, Deep Learning, Computer Assisted Sign Language Recognition for hearing-disabled communication, and AI+ Agriculture (Intelligent Agriculture Systems).

Dr. Banzi has published more than 10 scientific articles in top-tier journals and conferences including IEEE-Sinica, Journal of Machine Learning and Applications, Journal of Intelligent and Autonomous Systems, ICCCV, ICIC, etc.

PROFESSIONAL EDUCATION BACKGROUND

QUALIFICATION WHEN OBTAINED INSTITUTION ATTENDED
Postdoctoral Fellow (2023 to date) HKCOCHE, City University of Hongkong
P.hD. Information & Communiacation Engineering (2015 – 2019) University of Science and Technology of China, P.R China
MSc. Signal & Information Processing Engineering (2012 – 2015) Tianjin University, P.R China
BSc. Information Systems (2008 – 2011) University of Dodoma, Tanzania

ACADEMIC  APPOINTMENT

  1. Senior Lecturer: 2023 – to date
  2. Lecturer: 2019 – 2023
  3. Assistant Lecturer: 2015-2019

HONORS & AWARDS

BOARDS, ADVISORY COMMITTEES, PROFESSIONAL ORGANIZATION

TEACHING COURSES (2015 to date)

  1. INF 310: Fundamentals of Artificial Intelligence
  2. INF 100: Introduction to Computer Programming Language
  3. BTM 307: Computer Application in Tourism
  4. BTM 310: Management Information System in Tourism
  5. BRM 100: Computer Application
  6. WLM 100: Introduction to Computer Application
  7. BME 200: Electronic Commerce and Business Information System
  8. MBE 614: Management Information System

Other Courses

  1. IT 9143: Artificial Intelligence and Deep Learning- Mbeya University of Science and Technology(MUST)
    IT 9133: Python Programming- MUST
  2. CS2352: Principles of Compiler Design- Mzumbe University
    CS123: Computer Networks- Mzumbe University

PUBLICATIONS

  • Banzi, J. F., & Tito S.L (2023) “Lightweight Hand Pose Estimation for Mobile Devices Interaction” International Journal of Electrical and Computer Engineering (IJECE)”, (Accepted)
  • Tito, S.L., Banzi J.F., & Mvuma, A. N., (2023) “HJFormer: Hand Joints Directed Transformer for 3D Hand Pose Estimation.” MUST Journal of Research and Development, 4(2) Issue 4, e ISSN 2683-6467& p ISSN 2683-6475.
  • Tito, S. L., Banzi, J. F., & Mvuma, A. N. (2023). Occlusion Handler Density Networks for 3D Multimodal Joint Location of Hand Pose Hypothesis. Tanzania Journal of Engineering and Technology, 41(4).
  • Rajabu, R. C., Ally, J. S., & Banzi, J. F. (2022). Application of MobileNets Convolutional Neural Network Model in Detecting Tomato Late Blight Disease. Tanzania Journal of Science, 48(4), 913-926.
  • Tito, S. L., Banzi, J. F., & Mvuma, A. N. (2022). A Deep Regression Network with Key-joints Localization for Accurate Hand Pose Estimation. International Journal of Machine Learning and Computing, 12(6).
  • Banzi, J.F., & Abayo, T. (2021). Plant species identification from leaf images using deep learning models (CNN-LSTM architecture). Tanzania Journal of Forestry and Nature Conservation, 90(3), 93-103.
  • Banzi, J F., I. Bulugu, and Z. Ye,(2020) “Learning a deep predictive coding network for a semi-supervised 3D-hand pose estimation,” in IEEE/CAA Journal of Automatica Sinica, vol. 7, no. 5, pp. 1371-1379, September 2020, doi: 10.1109/JAS.2020.1003090. Impact factor 11.8 (SCI Q1) 
  • Banzi, J.F., Bulugu, I., & Ye, Z. (2019). Deep predictive neural network: Unsupervised learning for hand pose estimation. International Journal of Machine Learning and Computing, 9(4), 432-439.
  • Mwelinde, A. T., Jin, H., Banzi, J.F., Fu, H., & Han, Z. (2021, November). Spindle Bearings Fault Diagnosis Technique Based on Integration of Zero Resonator Frequency Filter and Discrete Wavelet Packet Transform. In ASME International Mechanical Engineering Congress and Exposition (Vol. 85697, p. V013T14A004). American Society of Mechanical Engineers. https://doi.org/10.1115/IMECE2021-73194.
  • Banzi, J. F., Bulugu, I., & Ye, Z. (2019). Learning hand latent features for unsupervised 3D hand pose estimation. Journal of Autonomous Intelligence, 2(1), 1-10.
  • Bulugu, I., Ye, Z., & Banzi, J. F. (2017). Higher-order local autocorrelation feature extraction methodology for hand gestures recognition. In 2017 2nd International Conference on Multimedia and Image Processing (ICMIP) (pp. 83-87). IEEE. [SCI:BJ8KZ] [EI:20173804169227].
  • Banzi, J. F., Ye, Z., & Bulugu, I. (2016). A novel hand Pose estimation using a Discriminative deep model and Transductive learning approach for occlusion handling and reduced discrepancy. In 2016 2nd IEEE International Conference on Computer and Communications (ICCC) (pp. 347-352). IEEE. [EI:20172303742450].
  • Bulugu, I., Ye, Z., & Banzi, J.F. (2016). Finger estimation method for hand gesture recognition. J. Math. Comput. Sci., 6(6), 1002-1011.
  • Banzi, J. F., & Xue, Z. (2015). An automated tool for non-contact, real-time early detection of diabetes by computer vision. International Journal of Machine Learning and Computing, 5(3), 225.
  • Banzi, J. F. (2014). A sensor-based anti-poaching system in Tanzania national parks. International Journal of Scientific and Research Publications, 4(4), 1.
  • Banzi, J. F. (2013). Improving distance throughput of ultra-violet communication Using both multled and average filter-based methods. International Journal of Digital Content Technology and its Applications, 7(11), 109.
  • Banzi, J. F., & Zhaojun, X. (2013). Detecting morphological nature of cancerous cells using image processing algorithms. International Journal of Scientific and Research Publications, 3, 12

RESEARCH, PROJECT & CONSULTANCY

  1. Design and implementation of a web-based sentiment classification and opinion mining for Tanzanian tourism destinations websites evaluation-(2023-to date), – Co-PI
  2. Design and development of Database for Miombo Timber species and identification and testing of lesser-known tree species, Funded by FORVAC TANZANIA- (2020 to 2022), – Member
  3. Developing an Artificial Intelligence technology called elephant eye technology for crop raiding prevention, funded by SUA- (2022- to date), – PI
  4. Manufacturing and Commercialization of Inexpensive Assistive Technology Tools and E-learning User Interfaces for Students with Hearing Impairment in Tanzania-(2022-to date), – Co-PI

SUPERVISION OF STUDENTS

  1. STANLEY LEONARD ( PhD Candidate): 3D Real-time hand pose estimation for multi-touchless human-machine interaction -MUST 2020- to date.

  2. MARTIN EMANUEL (MSc Candidate): Decision Supporting System for Forest Plantations Management in Tanzania- SUA 2022-to date.

  3. 52 Undergraduate students from the Department of Tourism and Recreation and the Department of Informatics and Information Science – SUA 2019 to 2022.

NATIONAL AND INTERNATIONAL CONFERENCES, WORKSHOPS AND MEETINGS ATTENDED

  • Biomedical Imaging with Magnet, Light, Sound and Electricity, Heart Brainstorming Forum, Hong Kong, S.A.R, China, October 2023.
  • BME Conference of Healthcare Innovation and Technology, BME, Hong Kong, S.A.R, China, 2023.
  • 3rd SUA Scientific Conference on enabling environment for agricultural transformation, Morogoro, Tanzania, 2023.
  • Embracing AI for Africa’s Sustainable Development, AI4D Africa’s Anglophone Multidisciplinary Research Lab, University of Dodoma, Dodoma, Tanzania, 2022.
  • GEO-ICT a platform for developing geospatial information systems (GIS) and for deploying spatial data infrastructures (SDI), University of Dar es Salaam, Dar-es-salaam, Tanzania, 2020.
  • UTLIP training for junior academic staffs, Sokoine University of Agriculture, Morogoro, Tanzania, 2020.
  • Pedagogical Leadership (PedaL) Workshop, Sokoine University of Agriculture, Morogoro, Tanzania, 2019.
  • 2nd IEEE Conference on Computer and Communications, ICCC 2016, Chengdu, P.R China, 2016.
  • Advanced Superhyterodyn Radio adjustment and testing skill training, School of electronics, Tianjin University of Technology and Education, Tianjin PRC, April 2015.
  • ICIIC 2014 International Conference on Information and Intelligent Computing, Hong Kong, S.A.R, China, 2014.
  • Integrated experiment on electronic information technique, Department of electronics, Tianjin University of Technology and Education, Tianjin PRC, June 2014.