September 2025

Congratulations: A paper led by Kaijie Shi from our lab has been published by IEEE Transactions on Neural Systems and Rehabilitation Engineering. Title: “Towards Biosignals-Free Autonomous Prosthetic Hand Control via Imitation Learning”. https://doi.org/10.1109/TNSRE.2025.3605579

August 2025

We were honored to welcome Dr. Morrison, our new university president, to the lab, where she met with team members and discussed ongoing research. https://gazette.mun.ca/campus-and-community/welcoming-president-morrison/ 

July 2025

Congratulations to Michael (Ziang) for successfully presenting his research, “Cuffless Blood Pressure Estimation Using Machine Learning with Photoplethysmography Features” at the 2025 eSymposium on Biomedical Science at Memorial University.

July 2025

Congratulations to Sadman for successfully presenting his research, “Explainable Prediction of Multiple Sclerosis from Brain Activation During Cognitive Tasks Using fNIRS” at the 2025 eSymposium on Biomedical Science at Memorial University.

July 2025

Our research has bee promoted by thy robotic hand manufacturer:

https://www.linkedin.com/feed/update/urn:li:activity:7345618286778138624/

June, 2025

Thrilled to see our latest research on autonomous prosthetic hand control featured by Tech Xplore! 🦾 The article highlights our AI-powered system that enables reliable grasping and releasing—without relying on biological signals. Grateful to the team and collaborators who made this work possible. Read more here: https://lnkd.in/eKXsrSwV

April, 2025

Congratulations: A paper led by Ehaheh Mohammadreza from our lab has been published by IEEE Transactions on Neural Systems and Rehabilitation Engineering. Title: “Investigating the Impact of Training Protocols on Myoelectric Pattern Recognition Control in Upper-Limb Amputees”. 

March, 2025
CBC Interview: https://www.youtube.com/live/qmPd7kJu73w?t=2200s

https://www.cbc.ca/player/play/video/9.6693431

December, 2024
Congratulations: A paper led by Wanglong Lu from our lab has been published by Pattern Recognition. Title: “Visual style prompt learning using diffusion models for blind face restoration”. 

November, 2024

Congratulate! Wanglong Lu has successfully defended his PhD thesis!

November, 2024
A paper led by Wanglong Lu from our lab has been accepted by Neurocomputing. Title: “Do Inpainting Yourself: Generative Facial Inpainting Guided by Exemplars”. 

November, 2024
A paper led by former PhD student Jingjing Zheng from our lab has been accepted by SCIENCE CHINA Information Sciences 2024 . Title: “DcnnGrasp: Towards Accurate Grasp Pattern Recognition with Adaptive Regularizer Learning”. 

October, 2024
A paper led by former PhD student Jingjing Zheng from our lab has been published by European Conference on Computer Vision 2024 . Title: “Handling The Non-Smooth Challenge in Tensor SVD: A Multi-Objective Tensor Recovery Framework”. 

August, 2024

Congratulate! Viral Galaiya has received the award of his master degree.

August, 2024
Congratulate! Ziang (Michael) Wu has been transferred into our PhD program!

August, 2024
A paper by VIral Galaiya from our lab has been published by IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2024). Title: “Grasp Approach Under Positional Uncertainty Using Compliant Tactile Sensing Modules and Reinforcement Learning”. 

July, 2024
A paper led by Wanglong Lu from our lab has been published by IEEE Transactions on Visualization and Computer Graphics,. Title: “FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing”. 

June, 2024
Congratulations to Wanglong Lu who has successfully defended his thesis proposal.

May, 2024
Congratulations to Wanglong Lu who has recently received a Mitacs Accelerate award.

May, 2024
A paper led by Wanglong Lu from our lab has been published by Computational Visual Media. Title: “GRIG: Few-Shot Generative Residual Image Inpainting”. 

April, 2024
A paper led by Ziang Wu from our lab has been published by Proceedings of the 2024 Symposium on Eye Tracking Research and Applications. Title: “Measuring Motor Task Difficulty using Low/High Index of Pupillary Activity”. 

March, 2024
A paper led by Arnab Barua from our lab has been published by Biomedical Engineering Online. Title: “Investigating The Effectiveness of Simple Heuristic Features in Solving Sensor Orientation and Sensor Placement Problems in Human Activity Recognition Using A Single Smartphone Accelerometer”. 

January, 2024
A paper co-led by Wanglong Lu from our lab has been published by Journal of Electronic Imaging. Title: “TEG: Image Theme Recognition using Text-Embedding-Guided Few-Shot Adaptation”. 

December, 2023
Congratulate! Sadman Saumik Islam has been transferred into our PhD program!

December, 2023
A paper co-led by VIral Galaiya from our lab has been published by Sensors. Title: “The Efficacy of Temporal Tactile Sensing for Objects' Orientation Prediction during In-hand Manipulation Using an LSTM Network”. 

November, 2023
Congratulate! Arnab Barua has received the award of his master degree.

June, 2023
Congratulate! Jingjing Zheng has received the Borealis AI Global Fellowship award, 2023. This Graduate Fellowship has been designed to help exceptional domestic and international students achieve their goals as they pursue graduate degrees at a Canadian university in ML or AI. Jingjing is one of 10 these exceptional graduate students, who stood out from a large pool of accomplished applicants this year across the world. 

June, 2023
Congratulate! Jingjing Zheng has received the Chinese Government Award for Outstanding Self-financed Students Abroad, 2023.

May, 2023: We're on Gazzette! : https://gazette.mun.ca/research/high-risk-high-reward-2/

May, 2023
Congratulate! Jingjing Zheng has successfully defended her PhD thesis!

May, 2023
Congratulate! Jingjing Zheng has received the Fellowship of SGS, MUN.

April, 2023
Congratulate! Wanglong Lu has received the Outstanding Research Award (Ph.D.), CS, MUN.

January, 2023
Congratulate! Mohammad Asfour has received the award of his master degree.

November, 2022: We're on Gazzette!

November, 2022
A paper led by Mohammed Asfour from our lab has been published by Bioengineering.  Title:  Feature-Classifier Pairing Compatibility for sEMG Signals in Hand Gesture Recognition under Joint Effects of Processing Procedures.

November, 2022
Arnab Barua from our lab won the Fellow of the School of Graduate Studies, 2022

October, 2022
Congratulate! Shuo Wang has received the award of his master degree.

September, 2022
A paper led by Shuo Wang from our lab has been accepted by Frontiers in Robotics and AI.  Title:  Integrating Computer Vision to Prosthetic Hand Control with sEMG: Preliminary Results in Grasp Classification.

September, 2022
A paper led by Wenting Hu and Owen Combed from our lab with collaboration with the Recovery and Performance and Lab, has been accepted for publication Frontiers in Artificial Intelligence.  Title: Machine Learning corroborates subjective ratings of walking and balance difficulty in Multiple Sclerosis.

September, 2022
Congratulations to Shuo Wang who has recently received a Mitacs Accelerate award.

July, 2022
A paper "Exploring Orientation Invariant Heuristic Features with Variant Window Length of 1D-CNN-LSTM in Human Activity Recognition" led by Arnab Barua from our lab has been accepted for publication in Biosensors.

May, 2022
Congratulate! Wenting Hu has received the award of her master degree.

May, 2022
Congratulations to Wanglong Lu who has recently received a Mitacs Accelerate award.

May, 2022
Congratulations! Our lab has been awarded NSERC RTI grant 2022-2023!

March, 2022
A paper led by Wenting Hu and Owen Combed from our lab with collaboration with the Recovery and Performance and Lab, has been published in Biomedical Engineering Online.  Title: Machine learning classification of multiple sclerosis patients based on raw data from an instrumented walkway.

March, 2022
Jingjing Zheng has received a Mitacs Accelerate award, with the collaboration of Verafin.

March, 2022
A paper led by Jingjing Zheng from our lab with collaboration with the AI College of Wenzhou University, China, has been published in AAAI, one of the top international Computer Science conferences.  Title: Handling Slice Permutations Variability in Tensor Recovery. The paper link will be available soon.

January, 2022
A paper led by Shuo Wang from our lab has been published in Biosensors.  Shuo and his partners have examined grasp classification along reach-and-grasp phase to identify the best time period for the prosthetic hand to perform actions according to the classification results.  More information can be found here:  Phase-based Grasp Classification for Prosthetic Hand Control Using sEMG. Phase-based Grasp Classification for Prosthetic Hand Control Using sEMG.

June 3, 2021
A paper led by Arnab Barua from our lab has been accepted for publication in IEEE Access.  Arnab and his partners have conducted much research into estimating ankle joint power using two Inertial Measurement Units attached to the foot and shank.   They use eight features to  evaluated the predictive performance of three deep neural regressors, including Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN), and CNN-LSTM hybrid.  More information can be found here:  Deep Learning Techniques in Estimating Ankle Joint Power Using Wearable IMUs

June 2, 2021
We are pleased to announce the launch of our new website.  Thanks Owen, Wenting, and Zach, our in-house developers!  We intend further developments of this site as our group and continues to grow.  Please come back and visit again soon.  If you have any comments on the design or readability of the site, please drop us a line.  We would appreciate your feedback.

March 15, 2021
Congratulations to Owen Combden for earning an Undergraduate Student Research Award from the National Sciences and Engineering Research Council of Canada!  This is the second award Owen has brought to our group, as he was awarded the Mitacs Undergraduate Research Award in Summer 2020.  We are grateful for the support and recognition from our institutional partners!

Feb 22, 2021
A paper led by Mohammed Asfour has been accepted by MDPI Sensors for publication.  Mohammed's team proposes a novel machine learning processing pipeline, employing a manifold learning method, to produce a robust representation of Force-Myography signals under stochastic variance and improve hand gesture classification reliability.  It is a very interesting topic, and more information can be found here:
A Machine Learning Processing Pipeline for Reliable Hand Gesture Classification of FMG Signals with Stochastic Variance