Projects per year
Personal profile
Biography
Dr. Alpha Agape Gopalai is a leading researcher in biomechanics, specializing in the complexities of musculoskeletal dynamics and human movement. Holding a Ph.D. in Enginering Sciences from Monash University, he has spearheaded cutting-edge research in biomechanics, injury prevention, and rehabilitation, with a strong focus on assistive devices and movement/postural analysis. His work, which bridges the gap between theoretical biomechanics and practical applications, has led to numerous impactful publications in high-impact journals.
In his role as an educator, Dr. Gopalai has successfully mentored a diverse cohort of undergraduate and Ph.D. students alike, many of whom have secured prestigious academic and industry positions. His innovative supervision practices emphasize research integrity, career development, and interdisciplinary collaboration. Additionally, his leadership extends beyond academia, where he actively engages in community outreach and public education on injury prevention and sports performance enhancement.
Currently, Dr. Gopalai is pioneering projects in virtual reality for fall assessment and soft robotics for assistive technologies, pushing the boundaries of biomechanical research to create next-generation solutions for enhancing human performance and well-being. His vision is to integrate biomechanics with emerging technologies to drive innovation in rehabilitation and healthy aging, contributing to healthier communities.
Research interests
Wearable and assistive technologies are revolutionizing the way we monitor our health and plan our routines. These technologies are creating endless potential in various fields of application - it would seem today that we are limited only by our very own imagination on what is possible and what is not.
My current research interests focuses on biomechanics, rehabilitation systems, and fall prevention techniques and the prospects of incorporating cyberphysical systems for remote monitoring. I am also currently investigating the potential of prevention and early detection of physical injuries using artificial intelligence. These innovations are envisioned to empower individuals, particularly in rehabilitation settings, and older adults by providing real-time data for improved decision-making and personalized care.
I am also investigating the application of artificial intelligence in the early detection and prevention of physical injuries, leveraging predictive analytics to create proactive healthcare solutions. By combining AI with wearable and assistive technologies, his research aims to reshape the way we approach rehabilitation and injury management, ultimately contributing to safer, more resilient communities.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Graduate Certificate in Higher Education
Award Date: 31 May 2018
PhD in Engineering Sciences, INTELLIGENT REAL-TIME POSTURAL CONTROL MONITORING SYSTEM FOR SELF-REHABILITATION SYSTEMS
Award Date: 22 Nov 2011
Bachelor of Mechatronics Engineering
Award Date: 1 Nov 2007
External positions
Student Activities Committee, Chair, IEEE Computer Society (CS) (Malaysia)
2018 → 2020
Chair, IEEE Computer Society (CS) (Malaysia)
2017 → 2020
Vice Chair, IEEE Computer Society (CS) (Malaysia)
2016
Secretary, IEEE Computer Society (CS) (Malaysia)
2015
Vice Chair, IEEE Computer Society (CS) (Malaysia)
2015
Executive Committee, IEEE Computer Society (CS) (Malaysia)
2013 → 2014
Research area keywords
- Human motion and gait analysis
- Assistive Robotics
- Rehabilitation Engineering
- Assistive Technologies
Collaborations and top research areas from the last five years
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Unveiling the Parkinson’s disease tremor clinical marker with explainable artificial intelligence
Ping Yi, C., Phan, R., Agape, A., Abdul Halim, S., Cajee, Y. & Tan, K.
1/10/23 → 30/09/26
Project: Research
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Characterisation of lower limb kinematic parameters to estimate hip and knee lift assistance strategy during sit-to-walk
Agape, A., Gouwanda, D., Teh, P. & Ahmad, S. A.
1/09/22 → 31/08/25
Project: Research
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Adaptive Transportable Energy Storage Expansion Planning via AI-Assisted Distributionally Robust Optimization under Renewable Energy and Flood Scenarios
Wen Shan, T., Mohd Zahidi, I., Chee Pin, T., Agape, A., Wu, Y. K. & Abdullah, M. P.
1/09/22 → 31/08/25
Project: Research
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User Acceptance Analysis of an Affordale Soft Service Robot in Object Retrieval Tasks
Nurzaman, S., Agape, A., Gouwanda, D., Chee Pin, T., Teh, P., Su, S., Voon Yang, C. & Thannirmalai, S.
13/11/19 → 12/05/22
Project: Research
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Energetic Cost and Compromise in Human Locomotion – Investigating the Underlying Musculoskeletal Behavior of Asymmetrical Gait
Gouwanda, D., Chee Pin, T., Agape, A. & Chong, Y. Z.
1/08/16 → 31/07/19
Project: Research
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A hybrid ankle-foot orthosis with soft pneumatic actuation
Marconi, G. P., Gopalai, A. A. & Chauhan, S., May 2024, In: Mechatronics. 99, 13 p., 103171.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
A Motion Capture Dataset on Human Sitting to Walking Transitions
Perera, C. K., Hussain, Z., Khant, M., Gopalai, A. A., Gouwanda, D. & Ahmad, S. A., Dec 2024, In: Scientific Data. 11, 1, 10 p., 878.Research output: Contribution to journal › Article › Research › peer-review
Open Access2 Citations (Scopus) -
Gait acceleration-based diabetes detection using hybrid deep learning
Chee, L. Z., Sivakumar, S., Lim, K. H. & Gopalai, A. A., Jun 2024, In: Biomedical Signal Processing and Control. 92, 8 p., 105998.Research output: Contribution to journal › Article › Research › peer-review
Open Access3 Citations (Scopus) -
Lower Limb Torque Prediction for Sit-To-Walk Strategies Using Long Short-Term Memory Neural Networks
Perera, C. K., Gopalai, A. A., Gouwanda, D., Ahmad, S. A. & Teh, P. L., 30 Oct 2024, In: IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32, p. 3977-3986 10 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
A combination of feature extraction and feedforward neural network to estimate muscle activity in human gait
Khant, M., Gouwanda, D., Gopalai, A. A., Lim, K. H. & Foong, C. C., 2023, TENCON 2023 - 2023 IEEE Region 10 Conference. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 975-980 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other
Prizes
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ITEX 2020 - Bronze Medalist
Agape, Alpha (Recipient) & Pirbodaghi, Saeed (Recipient), 2020
Prize: National/international honour
Press/Media
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Investigating Assistive Technologies to Support Activities of Daily Living (ADL)
9/05/24
1 Media contribution
Press/Media: Expert Comment
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Wearable technology to support active lifestyles and rehabilitation
29/09/21
1 Media contribution
Press/Media: Expert Comment
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Fall Prevention Technology for Senior Adults
Alpha Agape & Siti Anom Ahmad
8/08/20
1 Media contribution
Press/Media: Profile/Interview