yoosuf.nizam@mnu.edu.mv
3345437

Dr. Yoosuf Nizam

Assistant Professor (Department of Engineering)

Biography

Yoosuf Nizam is an assistant professor at the Department of Engineering.  He completed his PhD in electrical engineering from Universiti Tun Hussein Onn Malaysia (UTHM) in 2018. He has also achieved a Masters of Engineering (Electrical – Electronics & Telecommunication) and Bachelor of Engineering (Hons) in Electrical and Electronic Engineering.   His research interests includes embedded systems, assistive rehabilitation devices and robotics.

Area of Interest

•  Embedded computing systems
•  Remote sensing
•  Assistive rehabilitation devices and robotics

Teaching Interests

•  Electrical technology
•  Electrical and Electronics principles
•  Mechatronics
•  Microprocessor / microcontroller
•  Embedded c programming / robotics
•  Renewable energy
•  Electronics
•  Digital circuits

Research Work / Grants

Project name: Development of a Coastal Surveillance Airship to Monitor and Control the EEZ  (MNU Grant)
Date: January 2019 till to date
Principal investigator: Dr. Yoosuf Nizam

Editorial Activities

Editorial Board members

  1. Editorial Board Member, The Maldives National Journal of Research (MNJR), The Maldives National University, Print version: ISSN 2308-5959
  2. International Journal of Advanced Research in Engineering Innovation (IJAREI) e-ISSN: 2682-8499 (1 JUNE 2020 – 31 MAY 2022)
  3. General Co-Chair for 1st International Conference on Innovations in Engineering, Science and Technology for Sustainable Development (ICEST2023), the Maldives National University, Male’, Maldives. (https://icest.mnu.edu.mv/)
  4. General Chair for 2nd International Conference on Innovations in Engineering, Science and Technology for Sustainable Development (ICEST2025), the Maldives National University, Male’, Maldives. (https://icest.mnu.edu.mv/)
  5. Deputy Editor, Maldives Journal of Engineering and Technology (MJET), The Maldives National University, ISSN: 3007-6536 (Online)

Technical Committee Member 

  1. 2021 10th International Conference on Software and Computer Applications (ICSCA 2021) in Kuala Lumpur, Malaysia during 23-26 February, 2021
  2. The 4th International Conference on Electrical and Electronic Engineering 2021 (ICon3E2021) on 6th – 7th September 2021
  3. 2nd International Conference on Computer Technologies (ICCT 2023), which will be held in Kuantan, Malaysia during 23-25 February, 2023
  4. 12th International Conference on Software and Computer Applications (ICSCA 2023) will be held during 23-25 February, 2023 in Kuantan, Malaysia
  5. 2nd International Conference on IOT, Cloud and Big Data (IOTCB 2023)
  6. 11th International Conference on Software Engineering & Trends (SE 2023)” to be held in May 27 ~ 28, 2023, Vancouver, Canada
  7. 12th International conference on Parallel, Distributed Computing and Applications (IPDCA 2023) to be held in June 24 ~ 25, 2023, Copenhagen, Denmark.
  8. 4th International Conference on NLP & Big Data (NLPD 2023) to be held in June 17 ~ 18, 2023, Sydney, Australia
  9. 7th International Conference on Trends in Mechanical Engineering (MECE 2023)” Conference held in July 15-16, 2023, Virtual Conference
  10. International Conference on Embedded Systems and VLSI (EMVL 2023)” to be held in August 12 ~ 13, 2023, Virtually
  11. 9th International Conference of Advances in Materials Science and Engineering (MAT 2023)” to be held in Dubai, UAE on August 26 ~ 27, 2023
  12. International Conference on NLP & Signal (NLPSIG 2023) to be held in August 12-13, 2023, Virtual Conference
  13. 12th International conference on Parallel, Distributed Computing and Applications (IPDCA 2023) to be held in June 24 ~ 25, 2023, Copenhagen, Denmark.
  14. 6th International Conference on Mechanical Engineering (MEN 2023)” to be held in August 12 ~ 13, 2023, Virtually
  15. International Conference on Vision and Computational Intelligence (VCOI 2023) to be held in September 09-10, 2023, Virtual Conference.

Supervision

Semester-long research projects

Completed projects:
•  Mohamed Waheed, Anwar Mohamed, Sharafulla Thoha (PHY307):
Wave energy generator
•  Thameem A Razzaq, Yoosuf Qasim, Abdulla Naeem, Zeeniya Hassan (PHY307):
Solar Fish Dryer Prototype
 

Undergraduate Final Year projects

Completed projects:

      1. Asiyath Naseem (BCSc): Airfoil Design for High Altitude Long Endurance Unmanned Aerial Vehicles (UAV)
      2. Ibrahim Hamees (BCSc): A Study on Power Generation of Islands: Load analysis and forcasting
      3. Khadheeja Azhar Ahmed (BCSc): Development of an autonomous navigation system for object detection and tracking
      4. Aminath Seeza (BCSc): Airfoil design for energy extraction from tidal currents
      5. Aminath Dheena (BCSc): Dual axis solar tracker
      6. Fathimath Asna (BCSc): Design of solar powered light trap to control pest moth species in H.Dh Hanimaadhoo agriculture
      7. Afnan Ahmed Shafeeg (BEM): perception based study (survey) on Health issues related to everyday technology
      8. Ahmed Ahusan (BCSc): Development of a Solar-powered Electric car model: Practical efficiency and performance analysis in the context of Maldives
      9. Aishath Ashna Abdul Rasheed (BCSc): Design of a Novel Electric Propulsion System for Sea-water Vessels

Selected Publications

Journals:

  1. Yoosuf Nizam (2020) Air Vehicles for Coastal Surveillance to Protect the Natural Resources and Monitor Illegal Entry into the EEZ: An Overview of Challenges and Reliability Concerns in the Context of Maldives, International Journal of Advanced Research in Technology and Innovation, 2(2), PP 1-10.
  2. Yoosuf Nizam and Ibrahim Thorig (2019) A preliminary study on gait and motion analysis for rehabilitation applications, Journal of Advanced Research in Applied Sciences and Engineering Technology, 15(1), PP. 8-17.
  3. Yoosuf Nizam, Mohd Norzali Haji Mohd and M. Mahadi Bin Abdul Jamil (2018) A non-invasive approach for human fall risk assessments, Journal of Engineering Science and Technology (JESTEC), Special Issue on ICCSIT-2018. PP. 175-189.
  4. Yoosuf Nizam, M. Mahadi Bin Abdul Jamil and Mohd Norzali Haji Mohd (2018) Development of a user adaptable human fall detection based on fall risk levels using depth sensor. Sensor MDPI, 18(7). PP. 2260.
  5. Yoosuf Nizam, Mohd Norzali Haji Mohd, and M. Mahadi Abdul Jamil (2017) Biomechanical Application: Accuracy and robustness of Kinect sensor for gait analysis, ARPN Journal of Engineering and Applied Sciences, 12(10), pp. 3183-3188.
  6. Yoosuf Nizam, M. Mahadi Abdul Jamil, Mohd Norzali Haji Mohd, M. Youseffi and M. C. T. Denyer (2017) A novel algorithm for human fall detection using height, velocity and position of subject from depth maps, International Journal of Integrated Engineering. 10(3). PP. 32-41.
  7. Yoosuf Nizam, Mohd Norzali Haji Mohd and M. Mahadi Abdul Jamil (2016) Classification of Human Fall from Activities of Daily Life using Joint Measurements, Journal of Telecommunication, Electronic and Computer Engineering, 8(4), pp. 145-149.
  8. Yoosuf Nizam, Mohd Norzali Haji Mohd, Razali Tomari and M. Mahadi Abdul Jamil (2016) Development of Human Fall Detection System Using Joint Height, Joint Velocity, And Joint Position from Depth Maps, Journal of Telecommunication, Electronic and Computer Engineering, 8(6), pp. 125-138.
  9. Mohamed Waheed, Anwar Mohamed, Sharafulla Thoha, Yoosuf Nizam (2020) Wave Generator to Power Sinamalé Bridge: A Pilot Study, International Journal of Advanced Research in Technology and Innovation, 2(2), PP 20-24.
  10. Thameem A Razzaq, Yoosuf Qasim, Abdulla Naeem, Zeeniya Hassan, Yoosuf Nizam (2020) Experimental Prototype of a Solar Fish Dryer, International Journal of Advanced Research in Technology and Innovation, 2(2), PP 1-10.

Conference proceedings:

  1. M. Mahadi Bin Abdul Jamil, Yoosuf Nizam, Mohd Norzali Haji Mohd ,Ambar, R., & Abd Wahab, M. H. (2019) Improved User Adaptable Human Fall Detection and Verification Using Statistical Analysis. In International Conference on Information Technology and Applied Mathematics (pp. 687-698). Springer, Cham.
  2. Yoosuf Nizam, Mohd Norzali Haji Mohd, M. Mahadi Abdul Jamil (2017) An optimized low computational algorithm for human fall detection from depth images based on Support Vector Machine classification, 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), Kuching, Malaysia, 2017, IEEE Xplore, pp. 407-412.
  3. Yoosuf Nizam, Mohd Norzali Haji Mohd, and M. Mahadi Abdul Jamil (2017) Human Fall Detection from Depth Images using Position and Velocity of Subject, Procedia Computer Science 105 (2017), pp. 131-137.

Book chapters:

  1. Yoosuf Nizam and M. Mahadi Bin Abdul Jamil (2020) Classification of Daily Life Activities for Human Fall Detection: A Systematic Review of the Techniques and Approaches, “Challenges and Trends in Multimodal Fall Detection for Healthcare” Studies in Systems, Decision and Control series of Springer. (ISBN 978-3-030-38748-8), pp 137-179
  2. Yoosuf Nizam and M. Mahadi Bin Abdul Jamil (2020) A novel approach for human fall detection and fall risk assessment, “Challenges and Trends in Multimodal Fall Detection for Healthcare” Studies in Systems, Decision and Control series of Springer. (ISBN 978-3-030-38748-8), pp 237-259
  3. M. Mahadi Bin Abdul Jamil, Yoosuf Nizam and Mohd Norzali Haji Mohd (2018) A preliminary study on fall risk assessments, in Nabilah Binti Ibrahim and Audrey Huong. (Ed.) Bioengineering Principle and Technology Applications Volume 1 (ISBN 978-967-2110-85-9), UTHM: Penerbit UTHM. pp. 117-142.
  4. Yoosuf Nizam, M. Mahadi Abdul Jamil, and M. Norzali Mohd (2017) A Depth Image Approach to Classify Daily Activities of Human Life for Fall Detection Based on Height and Velocity of the Subject, in Fatimah Ibrahim et al. (Ed.). 3rd International Conference on Movement, Health and Exercise (MoHE2016) (ISBN 978-981-10-3737-5). Singapore: Springer. pp. 63-68.

Copyright:

1. Mohd Norzali Haji Mohd and Yoosuf Nizam

Optimized Low Computational Algorithm for Human Detection from Depth Images Based on Support Vector Machine Classification, Registration No: LY2017001834 (07/06/2017)

2. M. Mahadi Bin Abdul Jamil, Mohd Norzali Haji Mohd and Yoosuf Nizam

Non-invasive fall risk assessment tool using depth sensor, Registration No: LY2018000756 (05/03/2018)

3. Mohd Norzali Haji Mohd, M. Mahadi Bin Abdul Jamil and Yoosuf Nizam

Fall detection based on statistical analysis using joint measurements from depth sensor, Registration No: LY2018000757 (05/03/2018)