Book (Published as eBook and Hardcover)

1. Zia Uddin, “Applied Machine Learning for Assisted Living,” 2022, Springer International Publishing, doi: 10.1007/978-3-031-11534-9.
   https://doi.org/10.1007/978-3-031-11534-9 

Full Papers in Journal Citation Reports (JCR) Impact Factor Journals (Accepted/Published):

2. W. S. Abbasi, M. Ehsan, H. Rahman, Z. Uddin, M. M. Hassan, and K. Saleem, “Analysis of the wake mechanism in external flow around tandem bluff bodies with different aspect ratios,” Frontiers in Mechanical Engineering, vol. 10, Feb. 2024, doi: 10.3389/fmech.2024.1341618.

3. Rahman, Rafeed, Md. Golam Rabiul Alam, Md. Tanzim Reza, Aminul Huq, Gwanggil Jeon, Md. Zia Uddin, and Mohammad Mehedi Hassan. “Demystifying Evidential Dempster Shafer-Based CNN Architecture for Fetal Plane Detection from 2D Ultrasound Images Leveraging Fuzzy-Contrast Enhancement and Explainable AI.” Ultrasonics 132 (July 2023)(Impact Factor: 4.06).

4. N. Põldvere, Z. Uddin, and A. Thomas, “The PolitiFact-Oslo Corpus: A New Dataset for Fake News Analysis and Detection,” Information, vol. 14, no. 12, p. 627, Nov. 2023, doi: 10.3390/info14120627.

5. Md. A. Mamun, H. Md. Abdullah, Md. G. R. Alam, M. M. Hassan, and Md. Z. Uddin, “Affective social anthropomorphic intelligent system,” Multimedia Tools and Applications, Mar. 2023, doi: 10.1007/s11042-023-14597-6. (Impact Factor: 2.57)

6. Jagatheesaperumal, Senthil Kumar, Snegha Rajkumar, Joshinika Venkatesh Suresh, Abdu H. Gumaei, Noura Alhakbani, Md. Zia Uddin, and Mohammad Mehedi Hassan. 2023. "An IoT-Based Framework for Personalized Health Assessment and Recommendations Using Machine Learning" Mathematics 11, no. 12: 2758. https://doi.org/10.3390/math11122758 (Impact Factor: 2.52 ).

7. Ali, Wajid, Tanzeela Shaheen, Hamza Ghazanfar Toor, Faraz Akram, Md. Zia Uddin, and Mohammad Mehedi Hassan. 2023. "An Innovative Decision Model Utilizing Intuitionistic Hesitant Fuzzy Aczel-Alsina Aggregation Operators and Its Application" Mathematics 11, no. 12: 2768. https://doi.org/10.3390/math11122768 (Impact Factor: 2.52 ).

8. Wajid Ali, Tanzeela Shaheen, Hamza Ghazanfar Toor, Faraz Akram, Md Zia Uddin, Mohammad Mehedi Hassan," Selection of Investment Policy using a Novel Three-Way Group Decision Model under Intuitionistic Hesitant Fuzzy Aczel Alsina Aggregation Operators", Applied Sciences, 2023, 13, 4416. https://doi.org/10.3390/app13074416 (Impact Factor: 2.84)

9. Ali, W.; Shaheen, T.; Haq, I.U.; Toor, H.G.; Akram, F.; Jafari, S.; Uddin, M.Z.; Hassan, M.M. Multiple-Attribute Decision Making Based on Intuitionistic Hesitant Fuzzy Connection Set Environment. Symmetry 2023, 15, 778. https://doi.org/10.3390/sym15030778 (Impact Factor: 2.94)

10. Ali W, Shaheen T, Ul Haq I, Toor H, Akram F, Garg H, et al. Aczel-Alsina-based aggregation operators for intuitionistic hesitant fuzzy set environment and their application to multiple attribute decision-making process. AIMS Mathematics [Internet]. 2023;8(8):18021–39. (Impact Factor: 2.70)

11. Uddin, M.Z., Dysthe, K.K., Følstad, A. et al. Deep learning for prediction of depressive symptoms in a large textual dataset. Neural Comput & Applic 34, 721–744 (2022). https://doi.org/10.1007/s00521-021-06426-4 (Impact Factor: 5.61).

12. Khan, M.S., Salsabil, N., Alam, M.G.R., Dewan, Ali Akber, Uddin, M Zia, "CNN-XGBoost fusion-based affective state recognition using EEG spectrogram image analysis". Sci Rep 12, 14122 (2022). https://doi.org/10.1038/s41598-022-18257-x. (Impact Factor: 4.99)

13. Md Nazmul Islam, Mehedi Hasan, Md. Kabir Hossain, Md. Golam Rabiul Alam, Md Zia Uddin & Ahmet Soylu,  “Vision transformer and explainable transfer learning models for auto detection of kidney cyst,stone and tumor from CT-radiography” Scientific Reports-Nature,  12, 11440 (2022). https://www.nature.com/articles/s41598-022-15634-4. Impact Factor: 4.99)

14. Md. Sakib Khan, Nishat Salsabil, Md. Golam Rabiul Alam, M. Ali Akber Dewan, and Md Zia Uddin, "CNN-XGBoost Fusion-based Affective State Recognition using EEG Spectrogram Image Analysis", Scientific Reports - Nature (Impact Factor: 4.99).

15. Mst Alema Khatun, Mohammad Abu Yousuf, Sabbir Ahmed, Md Zia Uddin, Salem A. Alyami, Samer Al-Ashhab, Hanan F. Akhdar, Asaduzzaman Khan, Akm Azad, and Mohammad Ali Moni, "Deep CNN-LSTM with Self-Attention Model for Human Activity Recognition using Wearable Sensor," in IEEE Journal of Translational Engineering in Health and Medicine, doi: 10.1109/JTEHM.2022.3177710.  (Impact Factor: 3.32).

16. Md Zia Uddin and Soylu, A. Human activity recognition using wearable sensors, discriminant analysis, and long short-term memory-based neural structured learning. Sci Rep 11, 16455 (2021).https://www.nature.com/articles/s41598-021-95947-y (Impact Factor: 4.38).

17. Uddin, M.Z.; Seeberg, T.M.; Kocbach, J.; Liverud, A.E.; Gonzalez, V.; Sandbakk, Ø.; Meyer, F. Estimation of Mechanical Power Output Employing Deep Learning on Inertial Measurement Data in Roller Ski Skating. Sensors 2021, 21, 6500. https://doi.org/10.3390/s21196500.  (Impact Factor: 3.58).

18. F. M. Noori, M. Z. Uddin and J. Torressen, "Ultra-Wideband Radar-Based Activity Recognition Using Deep Learning," in IEEE Access, 2021, doi: 10.1109/ACCESS.2021.3117667, (Impact Factor: 3.37).

19. Md. Rafiul Hassan, Md. Fakrul Islam, Md. Zia Uddin, Goutam Ghoshal, Muhammad Mehedi Hassan, Shamsul Huda, Giancarlo Fortino, "Prostate cancer classification from ultrasound and MRI images using deep learning based Explainable Artificial Intelligence", Future Generation Computer Systems, 2021. DOI: 10.1016/j.future.2021.09.030, (Impact Factor: 7.187).  

20. Khan, Haroon, Farzan M. Noori, Anis Yazidi, Md Z. Uddin, M. N.A. Khan, and Peyman Mirtaheri. 2021. "Classification of Individual Finger Movements from Right Hand Using fNIRS Signals" Sensors 21, no. 23: 7943. https://doi.org/10.3390/s21237943. (Impact Factor: 3.58).

21. M. M. Hassan, M. R. Hassan, S. Huda, M. Z. Uddin, A. Gumaei, and A. Alsanad, “A predictive intelligence approach to classify brain–computer interface based eye state for smart living,” Applied Soft Computing, vol. 108, p. 107453, Sep. 2021. (Impact Factor: 6.725).

22. Bahadur, Erfanul H., Abdul K.M. Masum, Arnab Barua, and Md Z. Uddin: "Active Sense: Early Staging of Non-Insulin Dependent Diabetes Mellitus (NIDDM) Hinges upon Recognizing Daily Activity Pattern", Electronics, Vol. 10, no. 18: 2194, 2021. https://doi.org/10.3390/electronics10182194 (Impact Factor: 2.41).

23. Md. Kalim Amzad Chy, Abdul Kadar Muhammad Masum, Kazi Abdullah  Mohammad Sayeed, Md Zia Uddin,”DeliCar: Self Driving Product Delivery Car using Deep Learning  approaches”, Sensors (Accepted) (Impact Factor: 3.58).

24. Md Zia Uddin, M. Hassan, A. Alsanad, and C. Savaglio, “A body sensor data fusion and deep recurrent neural network-based behavior recognition approach for robust healthcare,” Information Fusion, DOI: 10.1016/j.inffus.2019.08.004, 2020. (Impact Factor: 17.56) .

25. Md. Zia Uddin and Erik G. Nilsson, "Emotion recognition using speech and neural structured learning to facilitate edge intelligence," Engineering Applications of Artificial Intelligence,  DOI: 10.1016/j.engappai.2020.103775, 2020. (Impact Factor: 4.20).

26. Farzan Majeed Noori, Michael Alexander Riegler, Md Zia Uddin, and Jim Torresen, "Human Activity Recognition from Multiple Sensors Data Using Multi-Fusion Representations and CNNs", ACM Transactions on Multimedia Computing, Communications, and Applications, DOI:https://doi.org/10.1145/3377882 2020. (Impact Factor: 3.28 ) .

27. Mohammad Mehedi Hassan, Md. Golam Rabiul Alam, Md Zia Uddin, Shamsul Huda, Ahmad Almogren, Giancarlo Fortino, " Human Emotion Recognition Using Deep Belief Network Architecture," Information Fusion, vol. 51, pp. 10–18, Nov. 2019.  (Impact Factor: 17.56).

28. Md Golam Rabiul Alam, Mohammad Mehedi Hassan, Md. Zia Uddin, Ahmad Almogren, Giancarlo Fortino, "Autonomic Computation Offloading in Mobile Edge for IoT Applications", Future Generation Computer Systems, DOI: doi.org/10.1016/j.future.2018.07.050, 2019. (Impact Factor: 6.13).

29. Md Zia Uddin and Mohammed Mehedi Hassan, " Activity Recognition for Cognitive Assistance Using Body Sensors Data and Deep Convolutional Neural Network", IEEE Sensors,  doi: 10.1109/JSEN.2018.2871203, 2019.  (Impact Factor: 3.07) .

30. Weria Khaksar, Md Zia Uddin, Jim Torresen, "Multi-query motion planning in uncertain spaces: incremental adaptive randomized roadmaps", International Journal of Applied Mathematics and Computer Science (AMCS), 2019. (Impact Factor: 1.50) (Accepted)

31. Md Zia Uddin, " A Wearable Sensor-based Activity Prediction System to Facilitate Edge Computing in Smart Healthcare System," Journal of Parallel and Distributed Computing, doi: 10.1016/j.jpdc.2018.08.010 , 2019. (Impact Factor: 2.29).

32. Md. Golam Rabiul Alam, Md. Shirajum Munir, Md. Zia Uddin, Mohammed Shamsul Alam, Nguyen Dang Tri; Choong Seon Hong, " Edge-of-Things Computing Framework for Cost-effective Provisioning of Healthcare Data," Journal of Parallel and Distributed Computing, doi: 10.1016/j.jpdc.2018.08.011, 2019. (Impact Factor: 2.29) .

33. Md Zia Uddin, W. Khaksar and J. Torresen, "Ambient Sensors for Elderly Care and Independent Living: A Survey," Sensors, Vol 18, Article no. 2027, doi: oi.org/10.3390/s18072027, 2018   (Impact Factor: 3.28).

34. Mohammad Mehedi Hassan, Md. Zia Uddin, Amr Mohamed, Ahmad Almogren, “ A Robust Human Activity Recognition System Using Smartphone Sensors and Deep Learning”, Future Generation Computer Systems, DOI: doi.org/10.1016/j.future.2017.11.029, 2018 (Impact Factor: 6.13).

35. M. M. Hassan, S. Huda, M. Z. Uddin, A. Almogren, and M. Alrubaian, “Human Activity Recognition from Body Sensor Data using Deep Learning,” Journal of Medical Systems, vol. 42, no. 6, Apr. Doi: 10.1007/s10916-018-0948-z, 2018.   (Impact Factor: 3.06).

36. Md Zia Uddin, W. Khaksar and J. Torresen, "Facial Expression Recognition Using Salient Features and Convolutional Neural Network," IEEE Access, doi: 10.1109/ACCESS.2017.2777003, 2017  (Impact Factor: 3.75).

37. Md. Zia Uddin, Mohammed Mehedi Hassan, Ahmad Almogren, Atif Alamri and Giancarlo Fortino, “Facial Expression Recognition Utilizing Local Direction-based Robust Features and Deep Belief Network", IEEE Access, vol. 5, pp. 4525-4536, 2017.  (Impact Factor: 3.75).

38. Md Zia Uddin, Mohammed Mehedi Hassan, Ahmad Almogren, Mansour Zuair, Giancarlo Fortino, & Jim Tørresen,"A Facial Expression Recognition System Using Robust Face Features from Depth Videos and Deep Learning", Computers & electrical engineering.  doi:10.1016/j.compeleceng.2017.04.019,  2017.  (Impact Factor: 2.66).

39. M. H. Kabir, M. S. Salekin, Md Zia Uddin, and M. Abdullah-Al-Wadud, "Facial Expression Recognition From Depth Video With Patterns of Oriented Motion Flow," IEEE Access, vol. 5, pp. 8880-8889, 2017.  (Impact Factor: 3.75).

40. Amit Kumar Das, Tamal Adhikary, Md. Abdur Razzaque, Majed Alrubaian, Mohammad Mehedi Hassan, Md. Zia Uddin & Biao Song, "Big media healthcare data processing in cloud: a collaborative resource management perspective", Cluster Computing, doi:10.1007/s10586-017-0785-8, 2017.  (Impact Factor: 3.46).

41. Md. Zia Uddin, " Human Activity Recognition Using Segmented Body Part and Body Joint Features with Hidden Markov Models“, Multimedia Tools and Applications, doi:10.1007/s11042-016-3742-2, 2016  (Impact Factor: 2.32). 

42. Md. Zia Uddin, Jae Hyun Kim, " A Robust Approach for Human Activity Recognition Using 3-D Body Joint Motion Features with Deep Belief Network“, KSII Transactions on Internet and Information Systems, 2016. (Accepted)  (Impact Factor: 0.611). 

43. Md. Zia Uddin, " A Depth Video-based Facial Expression Recognition System Utilizing Generalized Local Directional Deviation-based Binary Pattern Feature Discriminant Analysis “, Multimedia Tools and Applications, Vol. 75, No. 12, pp 6871-6886, 2016  (Impact Factor: 2.32). 

44. Md. Zia Uddin, Jae Hyun Kim, " An Efficient Facial Expression Recognition System Using LBP, GDA, and HMM from Depth Video“, KSII Transactions on Internet and Information Systems,  Vol. 10, No.3, pp. 1390-1403, 2016  (Impact Factor: 0.611).  

45. Md. Zia Uddin, Jae Hyun Kim, " Human Activity Recognition Using Spatiotemporal Generalized 3-D Body Joint Discriminant Analysis Features with Hidden Markov Models “, KSII Transactions on Internet and Information Systems, Vol. 10, No. 6, pp. 2767-2780, 2016  (Impact Factor: 0.611).

46. Md. Zia Uddin, and Tae-Seong Kim, " A 3-D Body Joint-Specific HMM-based Approach for Human Activity Recognition from Stereo Posture Image Sequence“, Multimedia Tools and Applications, DOI: 10.1007/s11042-014-2225-6, 2015 (Impact Factor: 2.32). 

47. Md. Zia Uddin, Jeong Tai Kim, and Tae-Seong Kim, " Depth Video-Based Gait Recognition for Smart Home Using Local Directional Pattern Features and Hidden Markov Model”, Indoor and Built Environment, DOI: 10.1177/1420326X14522670, 2014 (Impact Factor: 2.00). 

48. Md. Zia Uddin, " An Efficient Local Feature-Based Facial Expression Recognition System “,Arabian Journal for Science and Engineering, Vol 39(11), pp. 7885-7893, 2014 (Impact Factor: 1.71). 

49. Md. Zia Uddin, Deok-Hwan Kim and Tae-Seong Kim, “A Human Activity Recognition System Using Hidden Markov Models with Generalized Discriminant Analysis on Independent Component Features”, The International Arab Journal of Information Technology, Vol. 12, No. 3, pp. 304-310, 2013  (Impact Factor: 0.724). 

50. Md. Zia Uddin and Mohammed Mehedi Hassan, “A Depth Video-Based Facial Expression Recognition System Using Radon Transform, Generalized Discriminant Analysis, and Hidden Markov Model", Multimedia Tools And Applications, DOI: 10.1007/s11042-013-1793-1, 2014 (Impact Factor: 2.32). 

51. Md. Zia Uddin, Tae-Seong Kim, and Jeong-Tai Kim, “A Spatiotemporal Robust Approach for Human Activity Recognition”, International Journal of Advanced Robotic Systems, DOI: 10.5772/57054, 2013 (Impact Factor: 1.48). 

52. Md. Zia Uddin, Deok Hwan Kim, Jeong Tai Kim, and Tae-Seong Kim, " An Indoor Human Activity Recognition System for Smart Home Using Local Binary Pattern Features with Hidden Markov Models “,Indoor and Built Environment, 2013, DOI:10.1177/1420326X12469734 (Impact Factor: 2.00). 

53. Md. Zia Uddin, Byung Cheol Song, and Tae-Seong Kim, “Optical Flow Feature-Based Facial Expression Recognition with HMM from Video”, International Journal of Innovative Computing, Information and Control, Vol 9(4), pp. 1409-1421, 2013.  (Impact Factor: 1.67). 

54. Md. Zia Uddin, J. J. Lee, and T.-S. Kim, "Independent Shape Component-based Human Activity Recognition via Hidden Markov Model“, Applied Intelligence, Vol., 2, pp. 193-206, 2010  (Impact Factor: 3.33). 

55. Md. Zia Uddin, J. J. Lee, and T.-S. Kim, " An Enhanced Independent Component-Based Human Facial Expression Recognition from Video“, IEEE Transactions on Consumer Electronics, Vol. 55, No. 4, pp. 2216-2224, November, 2009  (Impact Factor: 2.74). 

56. Ahmad Jalal, Md. Zia Uddin, and T.-S. Kim, "Depth Video-based Human Activity Recognition System Using Translation and Scaling Invariant Features for Life Logging at Smart Home"  , IEEE Transactions on Consumer Electronics,   Vol. 58(3), pp. 863 – 871, 2012.  (Impact Factor: 2.74). 

57. Md. Zia Uddin, “A Depth Video-based Facial Expression Recognition System”, IETE Technical Review, Vol. 29(2), pp. 169-177, 2012.  (Impact Factor: 1.85). 

58. Ahmad Jalal, Md. Zia Uddin, Jeong Tai Kim and Tae-Seong Kim, “Recognition of Human Home Activities via Depth Silhouettes and ℜ Transformation for Smart Homes”, Indoor and Built Environment, vol. 21, pp. 184-190, 2012.  (Impact Factor: 2.00). 

59. Md. Zia Uddin, Nguyen Duc Thang, T.-S. Kim, and Jeong Tai Kim, “Human Activity Recognition Using Body Joint Angle Features and Hidden Markov Model”, ETRI Journal, pp. 569, 579, 2011.  (Impact Factor: 1.10). 

60. Md. Zia Uddin, and T.-S. Kim, “         Human Activity Recognition Based on Independent Depth Silhouette Components and Optical Flow Features,” The Imaging Science Journal, DOI:10.1179/1743131X11Y.0000000020, 2012.  (Impact Factor: 1.02). 

61. Md. Zia Uddin, T.-S. Kim, and Jeong Tai Kim, “Video-based Indoor Human Gait Recognition Using Depth Imaging and Hidden Markov Model: A Smart System for Smart Home”, Indoor and Built Environment Journal, Vol. 20(1), pp. 120-128, 2011.  (Impact Factor:  2.00). 

 Full Papers in Other Journals (Published): 

62. Khaksar, W., Uddin, M.Z., Torresen, J. (2019). Neuro-Fuzzy Sampling: Safe and Fast Multi-query Randomized Path Planning for Mobile Robots. In: Kim, JH., Myung, H., Lee, SM. (eds) Robot Intelligence Technology and Applications. RiTA 2018. Communications in Computer and Information Science, vol 1015. Springer, Singapore. https://doi.org/10.1007/978-981-13-7780-8_2.

63. W. Khaksar, M. Z. Uddin, and J. Torresen, “Fuzzy Motion Planning for Nonholonomic Mobile Robot Navigation in Unknown Indoor Environments,” International Journal of Mechanical Engineering and Robotics Research, pp. 6–11, 2018, doi: 10.18178/ijmerr.8.1.6-11. (Scopus)

64. Md. Zia Uddin, M.R. Kim, "A Deep Learning-Based Gait Posture Recognition from Depth Information for Smart Home Applications",  Advances in Computer Science and Ubiquitous Computing, Lecture Notes in Electrical Engineering, vol 421, pp. 407-413, 2013.

65. T Rahman, MM Hasan, A Farooq, Md. Zia Uddin, "Extraction of cardiac and respiration signals in electrical impedance tomography based on independent component analysis", Journal of Electrical Bioimpedance, Vol. 4, pp. 38-44, 2013 (Google Scholar). 

66. Md. Zia Uddin, Kyung Min Byun, Min Hyoung Cho, Soo Yeol Lee, Gon Khang, and Tae-Seong Kim, “A Spanning Tree-Based Human Activity Prediction System Using Life Logs from Depth Silhouette-Based Human Activity Recognition”, Lecture Notes in Computer Science (LNCS), Vol. 6854, pp. 302–309, 2011. 

67. Ahmad Jalal, Md. Zia Uddin, Jeong Tai Kim, and Tae-Seong Kim, “Daily Human Activity Recognition Using Depth Silhouettes and R-Transformation for Smart Home”, Lecture Notes in Computer Science (LNCS), Vol. 6719, pp. 25–32, 2011. (Best Paper Award in ICOST- 2011, Montreal, Canada) 

68. Md. Zia Uddin, J. J. Lee, T.-S. Kim, "Shape-Based Human Activity Recognition Using Independent Component Analysis and Hidden Markov Model“, Lecture Notes in Artificial Intelligence (LNAI), Vol. 5027, pp. 245-254, 2008. 

69. Uddin, M., & Yousuf, M. (2015). A New Method for Human Posture Recognition Using Principal Component Analysis and Artificial Neural Network. Journal of Scientific Research), 11-19. https://doi.org/10.3329/jsr.v7i3.19527

70. S. M. Anamul Haque, Md. Zia Uddin, Siddique Ahmed, “A Cost Effective Web Server Based Home Appliances Control System”, Daffodil International Journal of Science and Technology, Vol. 1, pp.1-5, 2006.

Book Chapters:

71. Md. Zia Uddin, “A Local Feature-based Facial Expression Recognition System from Depth Video”, Book Name: Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition, Elsevier Inc.,  pp. 407-417, 2014 .

72. Md. Zia Uddin, T.-S. Kim, “Facial expression recognition using independent component features and hidden markov model”, Book Name: Advances in Emotion Recognition, Wiley-Blackwell, pp. 113-127, 2014.

73. Md. Zia Uddin, T.-S. Kim, and Jeong Tai Kim “Continuous Hidden Markov Models for Depth Map-based Human Activity Recognition”, Book Name: Hidden Markov Models, Theory, and Applications, ISBN 978-953-307-208-1, pp. 225-248, 2011.

74. Nguyen Duc Thang, Md. Zia Uddin, Young Koo Lee, Sung Young Lee, and Tae-Seong Kim, “Recovering 3-D Human Body Posture from Depth Maps and Its Application for Human Activity Recognition”, Book Name: Depth Map and 3D Imaging Applications: Algorithms and Technologies, pp. 540-561, 2011.

75. T.-S. Kim and Md. Zia Uddin, “Silhouette-based Human Activity Recognition Using Independent Component Analysis, Linear Discriminant Analysis, and Hidden Markov Model”, Book Name: New Developments in Biomedical Engineering, ISBN: 978-953-7619-57-2, pp. 249-262, 2010.

Papers in Conference Proceedings (Accepted/Published):

76. Md Zia Uddin, "A Robust Approach for Real Time Activity Classification Using Wearable Sensors and Ensemble Learning," The 11th International Conference on Control, Mechatronics and Automation (ICCMA 2023) will be held, University of Agder, Norway, from November 1-3, 2023 

77. Md Zia Uddin, Nele Põldvere, and Aleena Thomas, “Fake News Detection Using the PolitiFact-Oslo Corpus: A Comprehensive Study, “ Artificial Intelligence Against Fake News: Workshop on Advances in Disinformation Detection (WADD 2023), Stavanger, Norway on 30 November 2023.

78. Adel Baselizadeh, WERIA KHAKSAR, Md. Zia Uddin, Diana Saplacan, Jim Torresen, "Privacy-Preserving User Pose Prediction for Safe and Efficient Human-Robot Interaction", IEEE International Conference on Automation Science and Engineering (CASE),  Auckland, New Zealand, on 26 – 29 August 2023.

79. Farzan Majeed Noori, Azeem Hafeez, Hafiz Malik, Md Zia Uddin, Jim Tørresen, "From Passenger Safety to Vehicle Security, a Journey of Code", 2023 IEEE Vehicular Networking Conference (VNC) April 26-28, 2023, Istanbul, Türkiye.

80. Md Zia Uddin, Jaehyoun Kim, "Attention-based LSTM for Robust Daily Activity Recognition from Smart Home Sensor Data", The 17th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2022) will be held on June 19-21, 2022.

81. Md Rakibul Ahasan, Mohammed Fahim Momen, Mirza Sanita Haque, Mohammad Rubbyat Akram, Golam Rabiul Alam, Md Zia Uddin, "Benchmarking Unsupervised Machine Learning for Mobile Network Anomaly Detection", IEEE International Conference on Innovations in Science, Engineering and Technology 2022 (ICISET 2022), Feb 25-27, 2022.

82. Md Zia Uddin, "Depression Detection in Text Using Long Short-Term Memory-Based Neural Structured Learning", IEEE International Conference on Innovations in Science, Engineering and Technology 2022 (ICISET 2022), Feb 25-27, 2022.

83. David Andreas Bordvik, Jie Hou, Farzan M. Noori, Md Zia Uddin, and Jim Tørressen, "Monitoring In-Home Emergency Situation and Preserve Privacy using Multi-modal Sensing and Deep Learning", 21th International Conference on Electronics, Information, and Communication(ICEIC 2022), February 6th(Sun) – 9th(Wed), 2022 / Grand Hyatt Jeju, Republic of Korea.

84. Md Nazmul Islam, Mehedi Hasan, Abdul Kadar Muhammad Masum, Md Zia Uddin, and Md. Golam Rabiul Alam, "Demystify the Black-box of Deep Learning Models for COVID-19 Detection from Chest CT Radiographs", IEEE International Conference on Computer and Information Technology (ICCIT), December 18-20, 2021, North South University, Dhaka, Bangladesh.

85. Bekir Sahin, Anis Yazidi, Zia Uddin, Dumitru Roman, and Ahmet Soylu, "An Analysis of Data Production based on the Consistency of Decision Matrices," International Conference on Intelligent and Fuzzy Systems, August 24-26, 2021 Turkey.

86. Bekir Sahin, Anis Yazidi, Dumitru Roman, Zia Uddin, and Ahmet Soylu, "On Converting Crisp Failure Possibility into Probability for Reliability of Complex Systems," International Conference on Intelligent and Fuzzy Systems, August 24-26, 2021 Turkey.

87. Md Zia Uddin, Noori, F.M., and Torresen J.," In-Home Emergency Detection Using An Ambient Ultra-Wideband Radar Sensor and Deep Learning," IEEE International Conference on Ultra-wide-band and ultra-short impulse signals, September 21-25, 2020, Kharkiv, Ukraine (Accepted) .

88. Bekir Sahin, Md Zia Uddin, and Ahmet Soylu, "Towards Optimal Ship Navigation using Image Processing", 15th International Symposium on Visual Computing, Virtual, October 5-7, 2020..

89. Md Zia Uddin, "Explaining Deep Learning Decision using LIME for Sensor-based Activity Recognition", The 15th Asia Pacific International Conference, Seoul, South Korea, July 5-7, 2020.    

90. Md Zia Uddin, W. Khaksar and J. Torresen, “A Thermal Video-based Robust Activity Recognition Using Discriminant Skeleton Features and RNN ,” 17th IEEE International Conference on Industrial Informatics, Helsinki-Espoo, 22-25 July, 2019.

91. Md Zia Uddin and Jim Torresen, "Activity Recognition Using Smartphone Sensors, Robust Features, and Recurrent Neural Network", 13th IEEE International Symposium on Medical Information and Communication Technology (ISMICT), Oslo, Norway on 8-10 May 2019.   

92. Rokkones, Anders Skibeli, Uddin, Md Zia,  and Tørresen, Jim, "Facial Expression Recognition Using Robust Local Directional Strength Pattern Features and Recurrent Neural Network", Proceedings of IEEE International Conference on Consumer Electronics-Berlin. 2019, 2019-September, pp. 283-288.

93. F. M. Noori, M. Z. Uddin, and J. Torresen, “Robot-Care for the Older People: Ethically Justified or Not?,” 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, Oslo, Norway, August 19-22, 2019.

94. Farzan Majeed Noori, Enrique Garcia-Ceja, Md Zia Uddin, Michael Riegler and Jim Torresen, "Fusion of Multiple Representations Extracted from a Single Sensor's Data for Activity Recognition Using CNNs", The 2019 International Joint Conference on Neural Networks (IJCNN) will be held at the InterContinental Budapest Hotel  in Budapest, Hungary on July 14-19, 2019 (IEEE).

95. Jim Torresen, T Schulz, Zia Uddin, and W Khaksar, “Robot Companions for Older People–Ethical Concerns,” ICRES 2018: International Conference on Robot Ethics and Standards, New York, USA, 20-21 August, pp. 53-58, 2018. https://doi.org/10.13180/icres.2018.20-21.08.016

96. Weria Khaksar, Trenton Schulz, Md. Zia Uddin, and Jim Torresen, "Supporting Older People at Home with a Mobile Robot for Independent Living", IEEE ICRA 2019 Workshop: Mobile Robot Assistants for the Elderly (MoRobAE), May 23, 2019. https://morobae.github.io/papers/morobae_p11_toresen.pdf 

97. W. Khaksar, Md Zia Uddin, and J. Torresen, “Self-Adjusting Roadmaps: A Fast Sampling-Based Path Planning Algorithm for Navigation in Unknown Environments,” 2018 IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO 2018), December 12~15, 2018, Kuala Lumpur, Malaysia. 

98. Md. Zia Uddin, "A Wearable Sensor and Deep Learning-Based Activity Recognition System", 10th International Conference on Internet (ICONI 2018), December 16-19, Cambodia.

99. Md Zia Uddin, W. Khaksar and J. Torresen, “Activity Recognition Using Deep Recurrent Neural Network on Translation and Scale-Invariant Features,” The 25th IEEE International Conference on Image Processing (ICIP), Athens, Greece, October 7-10, 2018.

100. Md Zia Uddin and J. Torresen, “Human Activity Recognition in Darkness,” The 9th Colour and Visual Computing Symposium 2018 (CVCS 2018), September 19-20, 2018, Gjøvik, Norway. (IEEE).

101. Jim Torresen, Trenton Schulz, Md. Zia Uddin, Weria Khaksar and Edson Prestes, "Robot Companions for Older People – Ethical Concerns", International Conference on Robot Ethics and Standards (ICRES 2018), August 20-21, 2018, Troy, NY, USA.

102. M Ali Akber Dewan, Fuhua Lin, Dunwei Wen, Mahbub Murshed and Zia Uddin, " A Deep Learning Approach to Detecting Engagement of Online Learners", The 4th IEEE International Conference on Internet of People, Oct 8, 2018 - Oct 12, 2018, Guangzhou, China.

103. W. Khaksar, Md Zia Uddin, and J. Torresen, “ Incremental Adaptive Probabilistic Roadmaps for Mobile Robot Navigation under Uncertain Condition”, 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE 2018),Mexico City, Mexico,September 5-7, 2018. (IEEE)

104. W. Khaksar, Md Zia Uddin, and J. Torresen, “ Learning from Virtual Experience: Mapless Navigation with Neuro-Fuzzy Intelligence”, 9th International Conference on Intelligent Systems IS’18, Madeira Island, Portugal 25-27 September 2018. (IEEE)

105. Weria Khaksar, Md. Zia Uddin, Trenton Schulz, and Jim Torresen, “Introducing a Robotic Multimodal Elderly Care system (MECS),”  ICRA2018 Workshop on Elderly Care Robotics – Technology and Ethics (WELCARO), May 21, Australia, 2018. (IEEE)

106. Enrique Garcia-Ceja, Md Zia Uddin, and J. Torresen, “Classification of Recurrence Plots' Distance Matrices with a Convolutional Neural Network for Activity Recognition 9th International Conference on Ambient Systems, Networks and Technologies (ANT-2018), Porto, Portugal, 2018.

107. W. Khaksar, Md Zia Uddin, and J. Torresen, “A Fast Randomized Path Planning Algorithm for Navigation in Changing Environments,”, European Conference on Mobile Robots (ECMR), École polytechnique,  Palaiseau, France, 2018 (Best Paper Presentation Award).

108. Md Zia Uddin, W. Khaksar and J. Torresen, “A Robust Gait Recognition System Using Spatiotemporal Features and Deep Learning,” 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017), pp. 156-161, 2017.

109. Md Zia Uddin, W. Khaksar and J. Torresen, “Human Activity Recognition Using Robust Spatiotemporal Features and Convolutional Neural Network,” 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017), pp. 144-149, 2017.

110. Md. Zia Uddin and Jaehyoun  Kim, "An Activity Recognition System Using Wearable Sensors,",  9th International Conference on Internet (ICONI 2017), December 17-20, 2017, Vientiane, Laos.

111. Md. Zia Uddin, Jim Torresen and Taskeed Jabid, “Human Activity Recognition using Depth Body Part Histograms and Hidden Markov Models”,International Conference on Innovations in Science, Engineering and Technology (ICISET), 2016. 

112. Taskeed Jabid and Md Zia Uddin, “Rotation Invariant Power Line Insulator Detection Using Local Directional Pattern and Support Vector Machine”, International Conference on Innovations in Science, Engineering and Technology (ICISET), 2016. (Best Paper Award) 

113. Md. Zia Uddin and Mi-Ryang Kim, “A Deep Learning-based Gait Posture Recognition from Depth Information for Smart Home Applications”, The 5th International Conference on Ubiquitous Computing Application and Wireless Sensor Network (UCAWSN-16), July 6-8, 2016, Jeju, South Korea.  

114. Md. Zia Uddin and Jaehyun Kim, “Human Activity Recognition Using Deep Learning on Body Joint Motion Features”, 10th Asia Pacific International Conference on Information Science and Technology, June 26 - 29, 2016, Hokkaido, Japan. (Outstanding Paper Award) 

115. S. -U. Park, J. H. Park, M. A. Al-masni, M. A. Al-antari, Md. Z. Uddin, T. -S. Kim, “A Depth Camera-based Human Activity Recognition via Deep Learning Recurrent Neural Network for Health and Social Care Services”, Conference on Health and Social Care Information Systems and Technologies HCist 2016, October 5-7, 2016, Porto, Portugal. 

116. J. H. Park, S. U. Park, Md. Zia Uddin, M. Al-antari, M. Al-masani, T.-S. Kim,” A Single Depth Sensor Based Human Activity Recognition via Convolutional Neural Network”,  The 6th International Conference on the. Development of Biomedical Engineering, 27 – 29 Jun 2016, Ho Chi Minh City, Vietnam. 

117. Md. Zia Uddin, “Facial Expression Recognition Using Depth Information and Spatiotemporal Features”, 18th International Conference on Advanced Communications Technology (ICACT2016), January 31 – February 2, 2016, Pheonix Park, South Korea. 

118. Md. Zia Uddin and Jaehyun Kim, “An Efficient Facial Expression Recognition System Using LBP, GDA, and HMM from Depth Video”, 10th Asia Pacific International Conference on Information Science and Technology, July 13 - 15, 2015, Da Nang, Vietnam. (Outstanding Paper Award)

119. Sang Beom Nam, Sung Un Park, Jun Hyeok Park, Md. Zia Uddin, Tae-Seong Kim, “Accurate 3D Human Pose Recognition via Fusion of Depth and Motion Sensors”, 5th International Conference on Computer and Communication Devices, 22 - 23 August 2015, Taiwan, Taipei.

120. Byeong-Hyeon Lee, Jaehwan Ryu, Md. Zia Uddin, Deokhwan Kim, "Word recognition using feature and muscle selection based on facial surface EMG signals", Summer Conferrence of the Institute of Electronics and Information Engineers, June 21 ~ Jun 23, Jeju, Korea, 2015.

121. Md. Zia Uddin, "A Spatiotemporal Feature-based Approach for Facial Expression Recognition from Depth Video", 2015 7th International Conference on Digital Image Processing (ICDIP 2015), April 9-10, 2015, Los Angeles, USA.

122. Md. Zia Uddin, " A Local Feature-based Approach for Activity 3-D Skeleton Posture Retrieval", International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (ICTAEECE), pp. 94-98, Bangkok, Thailand, April 4, 2015.

123. Md. Zia Uddin, " A Two-Level Hidden Markov Model-based Approach for Human Activity Recognition", International Conference on Computer Technology and Information System,  pp. 21-29, November 21-22, 2014, Seoul, South Korea.

124. Md. Zia Uddin, "A Robust Daily Human Activity Recognition and Prediction System ", Seventh International C* Conference on Computer Science & Software Engineering, pp. 12:1-12:8, August 4-6, 2014, Concordia University, Montreal, Canada.

125. Md. Zia Uddin and A.M. Jehad Sarkar, “A Facial Expression Recognition System from Depth Video”, The 2014 International Conference on Image Processing, Computer Vision, & Pattern Recognition, July 21-24, 2014, Las Vegas, Nevada, USA.

126. Md. Zia Uddin, Jeong Tai Kim, and Tae-Seong Kim, “Depth Video-based Gait Recognition Using Local Directional Pattern Features and Hidden Markov Models for Smart Home Services“, 10th International Symposium on Sustainable Healthy Buildings, pp. 383-391, 2013.

127. Md. Zia Uddin, Deok Hwan Kim, Jeong Tai Kim, and Tae-Seong Kim, " A Human Activity Recognition System for Smart Home Using Local Binary Pattern Features and Hidden Markov Models “, 6th International Symposium on Sustainable Healthy Buildings, pp. 641-655, 2012.

128. Ahmad Jalal, Md. Zia Uddin, and Tae-Seong Kim, “Human Activity Recognition using R Transformation Features of Depth Silhouettes: A Smart eHealth System towards Lifecare Services”, 3rd International Conference on ehealth, pp.24-26, 2012.

129. Ahmad Jalal, Md. Zia Uddin, Jeong Tai Kim, and Tae-Seong Kim, “Recognition of Human Home Activities via Depth Silhouettes and R Transformation for Smart Homes”, The 5th International Symposium on Sustainable Healthy Buildings, pp. 467-475, 2011.

130. A. Jalal, Md. Zia Uddin, and Tae-Seong Kim, “ Recognition of Human Activities via R Transformation of Depth Silhouettes, Multi-Scale Bioimaging Technology, pp. 68-69, 2011

131. A. Jalal, Md. Zia Uddin, and Tae-Seong Kim , “ Recognition of Human Activities Using the Features of Labeled Depth Body Parts via Random Trees, 44th Korean Society of Medical & Biological Engineering, pp. 52, 2011

132. A. Jalal, Md. Zia Uddin, and Tae-Seong Kim, “ Recognition of Human Activities via R Transformation of Depth Silhouettes, pp. 68-69, in Korean Society of Medical and Biological Engineering conference, Korea,  2011

133. Md. Zia Uddin, T.-S. Kim, and Jeong Tai Kim, “A Depth Silhouette-Based Human Activity Recognition and Tree-Based Human Activity Prediction System“, The 2nd International Conference on Emerging Databases, 2010.

134. Md. Zia Uddin, Nguyen Duc Thang, and T.-S. Kim, "Human Activity Recognition via 3-D Joint Angle Features and Hidden Markov Models”, The IEEE International Conference on Image Processing, pp. 713-716, 2010.

135. Md. Zia Uddin, T.-S. Kim, and Jeong Tai Kim, "Video-based Human Gait Recognition Using Depth Imaging and Hidden Markov Model: A Smart System for Smart Home“, International Symposium on Sustainable Healthy Buildings, pp. 153-160, 2010.

136. A. Jalal, Md. Zia uddin, and Tae-Seong Kim , “ Recognition of Human Home Activities for Smart Homes”, Future Neurotechnologies for Neuron, Network and Brain, pp. 67-68, 2010

137. Jalal Ahmed, Md. Zia Uddin, and T.-S. Kim, “Recognition of Human Home Activities for Smart Homes", in Korean Society of Medical and Biological Engineering conference, Korea, 2010.

138. Md. Zia Uddin, J. J. Lee, T.-S. Kim, "Human Activity Recognition Based on Independent Component Depth Image Features“, 5th International Conference on Ubiquitous Healthcare, 2008.

139. J. J. Lee, Md. Zia Uddin, T.-S. Kim, "Spatiotemporal Depth Information-based Human Facial Expression Recognition Using FICA and HMM“, 5th International Conference on Ubiquitous Healthcare, Korea, 2008.

140. Md. Zia Uddin, J. J. Lee, and T.-S. Kim, "Independent Component Feature-based Human Activity Recognition via Linear Discriminant Analysis and Hidden Markov Model“, IEEE 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5168-5171, 2008.

141. J.J. Lee, Md. Zia Uddin, and T.-S. Kim, “Spatiotemporal Human Facial Expression Recognition Using Fisher Independent Component Analysis and Hidden Markov Model”, IEEE 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2546-2549, 2008.

142. Md. Zia Uddin, J. J. Lee, T.-S. Kim,"Independent Component Feature-based Human Activity Recognition via Linear Discriminant Analysis and Hidden Markov Model ", in Korean Society of Medical and Biological Engineering conference, Korea, 2008.

143. Md. Zia Uddin, J. J. Lee, and T.-S. Kim, "A Human Activity Recognition System Using ICA and HMM", Human Computer Interaction conference, Korea, vol. 1, pp. 499-503, 2008.

144. J. J. Lee, Md. Zia Uddin, T.-S. Kim, "Enhanced Independent Component Analysis of Temporal Human Expression Using Hidden Markov Model", Human Computer Interaction conference, Korea, vol. 1, pp. 487-492, 2008.

145. Md. Zia Uddin, J.J. Lee, and T.-S. Kim, “Shape-based Human Activity Recognition Using ICA and HMM", in Korean Society of Medical and Biological Engineering conference, Korea, 2007.

146. J.J. Lee, Md. Zia Uddin, and T.-S. Kim, “Facial Expression Recognition from Sequential Images Using Enhanced ICA and Hidden Markov Model", in Korean Society of Medical and Biological Engineering conference, Korea, 2007.

147. S. M. Anamul Haque, Md. Zia Uddin, and Moazzam  Hossain, “A Neural Network Based Artificial Vision System for Real Time  Bangla License Plate”, 9th International Conference  on Computer and Information Technology (ICCIT), 2006.

148. Abdul Kadar Muhammed Masum, and Md. Zia Uddin, “A Secured Macro Payment System through SMS: A Proposed Model in Context of Bangladesh”, 9th International Conference on Computer and Information Technology (ICCIT), 2006.

149. Md. Saifur Rahaman, Md. Abdullah Al Mamun, Aklima Khanam, and Md. Zia Uddin, “Web Page Classification through Automatic Feature Extraction”, 9th International Conference on Computer and Information Technology (ICCIT), 2006.

150. Md. Zia Uddin, Aklima Khanam, and Md. Abdullah Al Mamun, “An Off-Line Signature Identification System using Fully 4-ary Tree”, 9th International Conference on Computer and Information Technology (ICCIT), 2006.

151. Aklima Khanam, Md. Zia Uddin, Md. Abdullah Al Mamun, “An Off-Line Signature Identification System using Quaternary Tree”, MMU International Symposium on Information and Communications Technologies, 2006.

152. Md. Abdullah Al Mamun, Aklima Khanam, and Md. Zia Uddin, “A Multi-Stage Off-Line Signature Verification System by Artificial Neural Network with Individual Error Tolerance”, MMU International Symposium on Information and Communications Technologies, 2006.

153. Md. Zia Uddin, Md. Syedur Rahaman Khan, and Md. Emdadul Haque, “An Efficient Tree-based Method for Human Fingerprint Identification”, International Conference on Information and Communication Technology  in Management (ICTM), pp-707-717, 2005.

154. Md. Zia Uddin, Md. Syedur Rahaman Khan, and  Md. Emdadul Haque, “Automatic Fingerprint Identification System Using 4-ary Tree”, International Conference on Computer and Information Technology (ICCIT), pp-526-530, 2004.