Shape-Based Human Activity Recognition Using Independent Component Analysis and Hidden Markov Model. - Md. Zia Uddin; J. J. Lee; Tae-Seong Kim 001 (IEA/AIE, 2008)

An enhanced independent component-based human facial expression recognition from video. - Md. Zia Uddin; J. J. Lee; Tae-Seong Kim 001 (IEEE Trans. Consumer Electron., 2009)

Human Activity Recognition via 3-D joint angle features and Hidden Markov models. - Md. Zia Uddin; Nguyen Duc Thang; Tae-Seong Kim 001 (ICIP, 2010)

Independent shape component-based human activity recognition via Hidden Markov Model. - Md. Zia Uddin; J. J. Lee; Tae-Seong Kim 001 (Appl. Intell., 2010)

A Spanning Tree-Based Human Activity Prediction System Using Life Logs from Depth Silhouette-Based Human Activity Recognition. - Md. Zia Uddin; Kyung Min Byun; Min Hyoung Cho; Soo Yeol Lee; Gon Khang; Tae-Seong Kim 001 (CAIP (1), 2011)

Daily Human Activity Recognition Using Depth Silhouettes and R mathcal{R} Transformation for Smart Home. - Ahmad Jalal; Md. Zia Uddin; Jeong Tai Kim; Tae-Seong Kim 001 (ICOST, 2011)

Depth video-based human activity recognition system using translation and scaling invariant features for life logging at smart home. - Ahmad Jalal; Md. Zia Uddin; Tae-Seong Kim 001 (IEEE Trans. Consumer Electron., 2012)

A Robust Daily Human Activity Recognition and Prediction System. - Md. Zia Uddin (C3S2E, 2014)

A spatiotemporal feature-based approach for facial expression recognition from depth video. - Md. Zia Uddin (ICDIP, 2015)

A human activity recognition system using hmms with gda on enhanced independent component features. - Md. Zia Uddin; Deok-Hwan Kim; Tae-Seong Kim 001 (Int. Arab J. Inf. Technol., 2015)

A depth video-based facial expression recognition system using radon transform, generalized discriminant analysis, and hidden Markov model. - Md. Zia Uddin; Mohammad Mehedi Hassan (Multim. Tools Appl., 2015)

3-D body joint-specific HMM-based approach for human activity recognition from stereo posture image sequence. - Md. Zia Uddin; Tae-Seong Kim 001 (Multim. Tools Appl., 2015)

A Depth Camera-based Human Activity Recognition via Deep Learning Recurrent Neural Network for Health and Social Care Services. - S. U. Park; J. H. Park; Mohammed A. Al-Masni; Mugahed A. Al-antari; Md. Zia Uddin; Tae-Seong Kim 001 (CENTERIS/ProjMAN/HCist, 2016)

A Deep Learning-Based Gait Posture Recognition from Depth Information for Smart Home Applications. - Md. Zia Uddin; Mi Ryang Kim (CSA/CUTE, 2016)

A Local Feature-Based Robust Approach for Facial Expression Recognition from Depth Video. - Md. Zia Uddin; Jaehyoun Kim (KSII Trans. Internet Inf. Syst., 2016)

Human Activity Recognition Using Spatiotemporal 3-D Body Joint Features with Hidden Markov Models. - Md. Zia Uddin; Jaehyoun Kim (KSII Trans. Internet Inf. Syst., 2016)

A depth video-based facial expression recognition system utilizing generalized local directional deviation-based binary pattern feature discriminant analysis. - Md. Zia Uddin (Multim. Tools Appl., 2016)

Human activity recognition using robust spatiotemporal features and convolutional neural network. - Md. Zia Uddin; Weria Khaksar; Jim Tørresen (MFI, 2017)

A robust gait recognition system using spatiotemporal features and deep learning. - Md. Zia Uddin; Weria Khaksar; Jim Tørresen (MFI, 2017)

Facial Expression Recognition From Depth Video With Patterns of Oriented Motion Flow. - Md. Hasanul Kabir; Md Sirajus Salekin; Md. Zia Uddin; Mohammad Abdullah-Al-Wadud (IEEE Access, 2017)

Facial Expression Recognition Utilizing Local Direction-Based Robust Features and Deep Belief Network. - Md. Zia Uddin; Mohammad Mehedi Hassan; Ahmad Almogren; Atif Alamri; Majed A. AlRubaian; Giancarlo Fortino (IEEE Access, 2017)

Facial Expression Recognition Using Salient Features and Convolutional Neural Network. - Md. Zia Uddin; Weria Khaksar; Jim Tørresen (IEEE Access, 2017)

A facial expression recognition system using robust face features from depth videos and deep learning. - Md. Zia Uddin; Mohammad Mehedi Hassan; Ahmad Almogren; Mansour Zuair; Giancarlo Fortino; Jim Tørresen (Comput. Electr. Eng., 2017)

Big media healthcare data processing in cloud: a collaborative resource management perspective. - Amit Kumar Das 002; Tamal Adhikary; Md. Abdur Razzaque; Majed A. AlRubaian; Mohammad Mehedi Hassan; Md. Zia Uddin; Biao Song (Clust. Comput., 2017)

A Robust Approach for Human Activity Recognition Using 3-D Body Joint Motion Features with Deep Belief Network. - Md. Zia Uddin; Jaehyoun Kim (KSII Trans. Internet Inf. Syst., 2017)

Human activity recognition using segmented body part and body joint features with hidden Markov models. - Md. Zia Uddin (Multim. Tools Appl., 2017)

Classification of Recurrence Plots' Distance Matrices with a Convolutional Neural Network for Activity Recognition. - Enrique Garcia-Ceja; Md. Zia Uddin; Jim Tørresen (ANT/SEIT, 2018)

A Deep Learning-Based Human Activity Recognition in Darkness. - Md. Zia Uddin; Jim Tørresen (CVCS, 2018)

Incremental Adaptive Probabilistic Roadmaps for Mobile Robot Navigation under Uncertain Condition. - Weria Khaksar; Md. Zia Uddin; Jim Tørresen (CCE, 2018)

Activity Recognition Using Deep Recurrent Neural Network on Translation and Scale-Invariant Features. - Md. Zia Uddin; Weria Khaksar; Jim Tørresen (ICIP, 2018)

Learning from Virtual Experience: Mapless Navigation with Neuro-Fuzzy Intelligence. - Weria Khaksar; Md. Zia Uddin; Jim Tørresen (IEEE Conf. on Intelligent Systems, 2018)

Neuro-Fuzzy Sampling: Safe and Fast Multi-query Randomized Path Planning for Mobile Robots. - Weria Khaksar; Md. Zia Uddin; Jim Tørresen (RiTA, 2018)

Self-Adjusting Roadmaps: A Fast Sampling-Based Path Planning Algorithm for Navigation in Unknown Environments. - Weria Khaksar; Md. Zia Uddin; Jim Tørresen (ROBIO, 2018)

A robust human activity recognition system using smartphone sensors and deep learning. - Mohammad Mehedi Hassan; Md. Zia Uddin; Amr Mohamed 001; Ahmad Almogren (Future Gener. Comput. Syst., 2018)

Human Activity Recognition from Body Sensor Data using Deep Learning. - Mohammad Mehedi Hassan; Md. Shamsul Huda; Md. Zia Uddin; Ahmad Almogren; Majed A. AlRubaian (J. Medical Syst., 2018)

Ambient Sensors for Elderly Care and Independent Living: A Survey. - Md. Zia Uddin; Weria Khaksar; Jim Tørresen (Sensors, 2018)

Facial Expression Recognition Using Robust Local Directional Strength Pattern Features and Recurrent Neural Network. - Anders Skibeli Rokkones; Md. Zia Uddin; Jim Tørresen (ICCE-Berlin, 2019)

Robot-Care for the Older People: Ethically Justified or Not? - Farzan Majeed Noori; Md. Zia Uddin; Jim Tørresen (ICDL-EPIROB, 2019)

Fusion of Multiple Representations Extracted from a Single Sensor's Data for Activity Recognition Using CNNs. - Farzan Majeed Noori; Enrique Garcia-Ceja; Md. Zia Uddin; Michael Riegler 001; Jim Tørresen (IJCNN, 2019)

A Thermal Camera-based Activity Recognition Using Discriminant Skeleton Features and RNN. - Md. Zia Uddin; Weria Khaksar; Jim Tørresen (INDIN, 2019)

Activity Recognition Using Smartphone Sensors, Robust Features, and Recurrent Neural Network. - Md. Zia Uddin; Jim Tørresen (ISMICT, 2019)

A Robust Human Activity Recognition Approach Using OpenPose, Motion Features, and Deep Recurrent Neural Network. - Farzan Majeed Noori; Benedikte Wallace; Md. Zia Uddin; Jim Tørresen (SCIA, 2019)

Multiquery Motion Planning in Uncertain Spaces: Incremental Adaptive Randomized Roadmaps. - Weria Khaksar; Md. Zia Uddin; Jim Tørresen (Int. J. Appl. Math. Comput. Sci., 2019)

Autonomic computation offloading in mobile edge for IoT applications. - Md. Golam Rabiul Alam; Mohammad Mehedi Hassan; Md. Zia Uddin; Ahmad Almogren; Giancarlo Fortino (Future Gener. Comput. Syst., 2019)

Human emotion recognition using deep belief network architecture. - Mohammad Mehedi Hassan; Md. Golam Rabiul Alam; Md. Zia Uddin; Md. Shamsul Huda; Ahmad Almogren; Giancarlo Fortino (Inf. Fusion, 2019)

Edge-of-things computing framework for cost-effective provisioning of healthcare data. - Md. Golam Rabiul Alam; Md. Shirajum Munir; Md. Zia Uddin; Mohammed Shamsul Alam; Nguyen Dang Tri; Choong Seon Hong (J. Parallel Distributed Comput., 2019)

A wearable sensor-based activity prediction system to facilitate edge computing in smart healthcare system. - Md. Zia Uddin (J. Parallel Distributed Comput., 2019)

Emotion recognition using speech and neural structured learning to facilitate edge intelligence. - Md. Zia Uddin; Erik G. Nilsson (Eng. Appl. Artif. Intell., 2020)

A body sensor data fusion and deep recurrent neural network-based behavior recognition approach for robust healthcare. - Md. Zia Uddin; Mohammad Mehedi Hassan; Ahmed Alsanad; Claudio Savaglio (Inf. Fusion, 2020)

Human Activity Recognition from Multiple Sensors Data Using Multi-fusion Representations and CNNs. - Farzan Majeed Noori; Michael Riegler 001; Md. Zia Uddin; Jim Tørresen (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Ultra-Wideband Radar-Based Activity Recognition Using Deep Learning. - Farzan Majeed Noori; Md. Zia Uddin; Jim Tørresen (IEEE Access, 2021)

A predictive intelligence approach to classify brain-computer interface based eye state for smart living. - Mohammad Mehedi Hassan; Md. Rafiul Hassan; Md. Shamsul Huda; Md. Zia Uddin; Abdu Gumaei; Ahmed Alsanad (Appl. Soft Comput., 2021)

Classification of Individual Finger Movements from Right Hand Using fNIRS Signals. - Haroon Khan; Farzan Majeed Noori; Anis Yazidi; Md. Zia Uddin; Malik Nasir Afzal Khan; Peyman Mirtaheri (Sensors, 2021)

Estimation of Mechanical Power Output Employing Deep Learning on Inertial Measurement Data in Roller Ski Skating. - Md. Zia Uddin; Trine M. Seeberg; Jan Kocbach; Anders E. Liverud; Victor Gonzalez; Øyvind Sandbakk; Frédéric Meyer (Sensors, 2021)

Applied Machine Learning for Assisted Living, 2 - Md. Zia Uddin (Springer, 2022)

Monitoring In-Home Emergency Situation and Preserve Privacy using Multi-modal Sensing and Deep Learning. - David Andreas Bordvik; Jie Hou; Farzan Majeed Noori; Md. Zia Uddin; Jim Torresen (ICEIC, 2022)

Sketch2FullStack: Generating Skeleton Code of Full Stack Website and Application from Sketch using Deep Learning and Computer Vision. - Somoy Subandhu Barua; Imam Mohammad Zulkarnain; Abhishek Roy; Md. Golam Rabiul Alam; Md. Zia Uddin (CoRR, 2022)

Prostate cancer classification from ultrasound and MRI images using deep learning based Explainable Artificial Intelligence. - Md. Rafiul Hassan; Md. Fakrul Islam; Md. Zia Uddin; Goutam Ghoshal; Mohammad Mehedi Hassan; Shamsul Huda; Giancarlo Fortino (Future Gener. Comput. Syst., 2022)

Deep learning for prediction of depressive symptoms in a large textual dataset. - Md. Zia Uddin; Kim Kristoffer Dysthe; Asbjørn Følstad; Petter Bae Brandtzaeg (Neural Comput. Appl., 2022)

Delicar: A Smart Deep Learning Based Self Driving Product Delivery Car in Perspective of Bangladesh. - Md. Kalim Amzad Chy; Abdul Kadar Muhammad Masum; Kazi Abdullah Mohammad Sayeed; Md. Zia Uddin (Sensors, 2022)

Privacy-Preserving User Pose Prediction for Safe and Efficient Human-Robot Interaction. - Adel Baselizadeh; Weria Khaksar; Md. Zia Uddin; Diana Saplacan; Jim Torresen (CASE, 2023)

A Robust Approach for Real Time Activity Classification Using Wearable Sensors and Ensemble Learning. - Md. Zia Uddin (ICCMA, 2023)

Source Linking Framework in Vehicular Networks for Security of Electric Vehicles using Machine Learning. - Farzan Majeed Noori; Azeem Hafeez; Hafiz Malik; Md. Zia Uddin; Jim Torresen (VNC, 2023)

The PolitiFact-Oslo Corpus: A New Dataset for Fake News Analysis and Detection. - Nele Põldvere; Md. Zia Uddin; Aleena Thomas (Inf., 2023)

Multiple-Attribute Decision Making Based on Intuitionistic Hesitant Fuzzy Connection Set Environment. - Wajid Ali; Tanzeela Shaheen; Iftikhar Ul Haq; Hamza Ghazanfar Toor; Faraz Akram; Saeid Jafari; Md. Zia Uddin; Mohammad Mehedi Hassan (Symmetry, 2023)

Affective social anthropomorphic intelligent system. - Md. Adyelullahil Mamun; Hasnat Md. Abdullah; Md. Golam Rabiul Alam; Mohammad Mehedi Hassan; Md. Zia Uddin (Multim. Tools Appl., 2023)

Multidimensional Analysis Tagger and Deep Learning for a Robust Fake News Detection System. - Md. Zia Uddin; Nele Põldvere; Aleena Thomas (CCCE, 2024)

PriMA-Care: Privacy-Preserving Multi-modal Dataset for Human Activity Recognition in Care Robots. - Adel Baselizadeh; Md. Zia Uddin; Weria Khaksar; Diana Saplacan Lindblom; Jim Torresen (HRI (Companion), 2024)

A Privacy Protected Sleep Quality Prediction Approach Using Ultrawideband Ambient Sensor, Synthetic Data, and Deep Learning. - Md. Zia Uddin (ICMLT, 2024)

Real-Time Person Re-Identification to Improve Human-Robot Interaction. - Per Antoine Carlsen; Angelique M. Taylor; Darren M. Chan; Md. Zia Uddin; Laurel D. Riek; Jim Torresen (RCAR, 2024)

Comparative Analysis of Vision-Based Sensors for Human Monitoring in Care Robots: Exploring the Utility-Privacy Trade-off. - Adel Baselizadeh; Diana Saplacan Lindblom; Weria Khaksar; Md. Zia Uddin; Jim Torresen (RO-MAN, 2024)

High-Fidelity Reconstruction of 3D Temperature Fields Using Attention-Augmented CNN Autoencoders With Optimized Latent Space. - Md Fokrul Islam Khan; Zakir Hossain; Arif Hossen; Md Nuho Ul Alam; Abdul Kadar Muhammad Masum; Md. Zia Uddin (IEEE Access, 2024)

A Computer Vision Based Approach for Stalking Detection Using a CNN-LSTM-MLP Hybrid Fusion Model. - Murad Hasan; Shahriar Iqbal; Md. Billal Hossain Faisal; Md. Musnad Hossin Neloy; Md. Tonmoy Kabir; Md. Tanzim Reza; Md. Golam Rabiul Alam; Md. Zia Uddin (CoRR, 2024)

Automated Personnel Selection for Software Engineers Using LLM-Based Profile Evaluation. - Ahmed Akib Jawad Karim; Shahria Hoque; Md. Golam Rabiul Alam; Md. Zia Uddin (CoRR, 2024)

Enhancing human activity recognition for the elderly and individuals with disabilities through optimized Internet-of-Things and artificial intelligence integration with advanced neural networks. - R. Deeptha; K. Ramkumar; Sri Venkateswaran; Mohammad Mehedi Hassan; Md. Rafiul Hassan; Farzan Majeed Noori; Md. Zia Uddin (Frontiers Neuroinformatics, 2024)

SwAV-driven diagnostics: new perspectives on grading diabetic retinopathy from retinal photography. - Md Nuho Ul Alam; Erfanul Hoque Bahadur; Abdul Kadar Muhammad Masum; Farzan Majeed Noori; Md. Zia Uddin (Frontiers Robotics AI, 2024)

Advanced sleep disorder detection using multi-layered ensemble learning and advanced data balancing techniques. - Muhammad Mostafa Monowar; SM Nuruzzaman Nobel; Maharin Afroj; Md. Abdul Hamid; Md. Zia Uddin; Md. Mohsin Kabir; Muhammad Firoz Mridha (Frontiers Artif. Intell., 2024)

AUNET (Attention-Based Unified Network): Leveraging Attention-Based N-BEATS for Enhanced Univariate Time Series Forecasting. - Adria Binte Habib; Md. Golam Rabiul Alam; Md. Zia Uddin (IEEE Access, 2025)

Joint Topic-Emotion Modeling in Financial Texts: A Novel Approach to Investor Sentiment and Market Trends. - Md Nazmul Hossain Mir; Md Shahriar Mahmud Bhuiyan; Md Al Rafi; Gourab Nicholas Rodrigues; Muhammad Firoz Mridha; Md. Abdul Hamid; Muhammad Mostafa Monowar; Md. Zia Uddin (IEEE Access, 2025)

Attention model-driven MADDPG algorithm for delay and cost-aware placement of service function chains in 5G. - Joy Munshi; Sumaya Sultana; Md. Jahid Hassan; Palash Roy; Md. Abdur Razzaque; Abdulhameed Alelaiwi; Md. Zia Uddin; Mohammad Mehedi Hassan (Ad Hoc Networks, 2025)

Explainable AI-driven scalogram analysis and optimized transfer learning for sleep apnea detection with single-lead electrocardiograms. - Mahan Choudhury; Md Tanvir; Mohammad Abu Yousuf; Nayeemul Islam; Md. Zia Uddin (Comput. Biol. Medicine, 2025)

Device and data Heterogeneity Aware SplitFed Learning for Digital Twin empowered Industrial Internet of Things. - Himel Saha; Md Nur Ahmed; Palash Roy; Md. Abdur Razzaque; Nafis Fuad Tanvir; Mohammad Mehedi Hassan; Md. Zia Uddin (Comput. Networks, 2025)

Enhancing ECU identification security in CAN networks using distortion modeling and neural networks. - Azeem Hafeez; Hafiz Malik; Aun Irtaza; Md. Zia Uddin; Farzan Majeed Noori (Frontiers Comput. Sci., 2025)

Early diagnosis of autism across developmental stages through scalable and interpretable ensemble model. - Nasirul Mumenin; Maisha Mumtaz Rahman; Mohammad Abu Yousuf; Farzan Majeed Noori; Md. Zia Uddin (Frontiers Artif. Intell., 2025)

Real-Time Norwegian Sign Language Recognition Using MediaPipe and LSTM. - Md. Zia Uddin; Costas Boletsis; Pål Rudshavn (Multimodal Technol. Interact., 2025)

A Multi-Head Attention mechanism assisted MADDPG algorithm for real-time data collection in Internet of Drones. - A. K. M. Atiqur Rahman; Muntasir Chowdhury Mridul; Palash Roy; Md. Abdur Razzaque; Md. Rajin Saleh; Mohammad Mehedi Hassan; Md. Zia Uddin (Veh. Commun., 2025)

Trustworthy Multimodal Intelligent Systems for Independent Living - Md. Zia Uddin (Springer, 2025)

Analysis of Different Modality of Data to Diagnose Parkinson's Disease Using Machine Learning and Deep Learning Approaches: A Review. - Sheikh Bahauddin Arnab; Md Istakiak Adnan Palash; Rakibul Islam; Hemal Hossain Ovi; Mohammad Abu Yousuf; Md. Zia Uddin (Expert Syst. J. Knowl. Eng., 2025)

Data distribution aware clustering for parallel split learning in healthcare applications. - Md. Tanvir Arafat; Md. Abdur Razzaque; Abdulhameed Alelaiwi; Md. Zia Uddin; Mohammad Mehedi Hassan (Future Gener. Comput. Syst., 2026)