Md Zia Uddin

Image of Md Zia Uddin
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Visiting address Gaustadalléen 23 B Ole-Johan Dahls hus 0373 OSLO
Postal address Postboks 1080 Blindern 0316 OSLO

My short-biography is as follows:

Duration

Job/Studies

Place

January 2017- Till Now

Post-doctoral Research Fellow

University of Oslo, Norway 

September 2013-
December 2016

Assistant Professor, Dept. of Computer Education

Sungkyunkwan University, Republic of Korea

March 2011-August  2013

Assistant Professor, Dept. of Electronic Engineering

Inha University, Republic of Korea

March 2007- February 2011

Ph.D. Studies, Dept. of Biomedical Engineering

Kyung Hee University, Republic of Korea

September 2004–February 2007

Lecturer, Dept. of Computer Science and Engineering

International Islamic University Chittagong, Bangladesh

March 2000 –August 2004

Bachelor Studies, Dept. of Computer Science and Engineering
(Gold Medal)

International Islamic University Chittagong, Bangladesh

 

 

Research Areas:

  • Ambient Sensors for Healthcare
  • Deep Learning
  • Computer Vision
  • Image Processing and Pattern Recognition
  • Artificial Intelligence
  • Smart Home Healthcare
  • Human Computer Interaction
  • Human Activity/Gait Recognition
  • Face/Facial Expression Recognition
  • Image Segmentation 

 

I am a senior member of  IEEE. I have more than seven years of teaching experience. I got more than 75 research publications including international journals, conferences and book chapters. My research works obtained best/outstanding paper awards in several international conferences. My google scholar citation is more than 500 at the moment.

More information about me and my works is available here:

Publications: https://sites.google.com/site/webpagezia/publications

Current Research Work: http://www.mn.uio.no/ifi/english/research/projects/mecs/sensing/

Real-time Research Demos: http://www.mn.uio.no/ifi/english/research/projects/mecs/sensing/demos/

 

Publications

Journals ( ISI with Impact Factors ):

  1. 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, no. , pp. 4525-4536, 2017. (ISI) (SCIE) (Impact Factor: 3.244).

  2. 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 (ISI) (SCI) (Impact Factor: 1.694).
  3. 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. (ISI) (SCI) (Impact Factor: 1.694).

  4. 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. (ISI) (SCIE) (Impact Factor: 2.040).

  5. 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 (ISI) (SCIE) (Impact Factor: 1.530).

  6. 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) (ISI) (SCIE) (Impact Factor: 0.561).

  7. 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 (ISI) (SCIE) (Impact Factor: 1.530).

  8. 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 (ISI) (SCIE) (Impact Factor: 0.561). 

  9. 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 (ISI) (SCIE) (Impact Factor: 0.561).

  10. 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 (ISI) (SCIE)(Impact Factor: 1.530).

  11. 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 (ISI) (SCIE)(Impact Factor: 2.00).

  12. 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 (ISI) (SCIE)(Impact Factor: 0.865).

  13. 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 (ISI) (SCIE) (Impact Factor: 0.724).

  14. 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 (ISI) (SCIE)(Impact Factor: 1.530).

  15. 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 (ISI) (SCIE)(Impact Factor: 0.987).

  16. 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 (ISI) (SCIE)(Impact Factor: 2.00).

  17. 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 (ISI) (SCI) (Impact Factor: 1.904).

  18. Md. Zia Uddin, “A Depth Video-based Facial Expression Recognition System”, IETE Technical Review, Vol. 29(2), pp. 169-177, 2012. (ISI) (SCIE) (Impact Factor: 1.330).

  19. 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. (ISI) (SCIE) (Impact Factor: 2.00).

  20. 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. (ISI) (SCI) (Impact Factor: 1.116).

  21. 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. (ISI) (SCI) (Impact Factor: 0.575).

  22. 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. (ISI) (SCIE) (Impact Factor:  2.00).

 

Book Chapters:

  1. 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 .

  2. 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.

  3. 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.

  4. 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.

  5. 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.

 

Conference Papers:

    1. 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. (IEEE)

    2. 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. (IEEE)  (Best Paper Award)

    3. 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. 

    4. 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)

    5. 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.

    6. 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.

    7. 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. (IEEE)

    8. 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)

    9. 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.

    10. 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.

    11. 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. (Scopus)

    12. 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.

    13. 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.

    14. 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. (ACM)

    15. 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.

    16. 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.

    17. 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.

    18. 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.

    19. 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.

    20. 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

    21. 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

    22. 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

    23. 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.

    24. 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. (IEEE)

    25. 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.

    26. 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.

    27. 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.

    28. 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.

    29. 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.

    30. 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.

    • Uddin, Md Zia; Hassan, Mohammed Mehedi; Almogren, Ahmad; Zuair, Mansour; Fortino, Giancarlo & Tørresen, Jim (2017). A Facial Expression Recognition System Using Robust Face Features from Depth Videos and Deep Learning. Computers & electrical engineering.  ISSN 0045-7906. . doi: 10.1016/j.compeleceng.2017.04.019
    • Uddin, Md Zia; Tørresen, Jim & Jabid, Taskeed (2017). Human Activity Recognition using depth body part histograms and Hidden Markov Models, In Mohammad Kaykobad (ed.),  2016 International Conference on Innovations in Science, Engineering and Technology (ICISET).  IEEE conference proceedings.  ISBN 978-1-5090-6123-5.  Paper ID: 168.  s 151 - 154

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    Published Mar. 22, 2017 2:00 PM - Last modified Sep. 21, 2017 12:10 PM