Employee Details




Dr. T. M. Shahriar Sazzad

Assistant Professor
Faculty of Electrical & Computer Engineering
shahriar@cse.mist.ac.bd


CONTACT INFORMATION

8th Floor, Room No: 812. General Mustafiz Tower, MIST.

Mirpur Cantonment, Dhaka-1216, Bangladesh.

E-mail: tss7standrews@gmail.com

 

ACADEMIC APPOINTMENTS

  • Asst Professor, Computer Science and Engineering Department, MIST, Dhaka, Bangladesh

HONORS & AWARDS

      Academic Awards & Scholarships 

 

  • (2017) PhD Research Presentation Award, State Winner for WA and Finalist for Australia ($5000). 
  • (2017) Queenscliff Writing Re-treat award, Australia ($2000). 
  • (2016) Conference Funding award for IEEE BHI conference, LAS Vegas, USA Feb-2016. Edith Cowan University, WA, Australia ($1270). 
  • (2013-2017) Conference travel grant, Edith Cowan University, WA, Australia ($4500). 
  • (2013-2017) Edith Cowan University International Post Graduate Research Scholarship (ECUIPRS), WA, Australia. 
  • (2009) Awarded to attend the Summer School in Image processing, Coimbra, Portugal.  
  • (1998 – 2002) Undergraduate Scholarship Award, American International University Bangladesh, Bangladesh.  
  • (2000) Runner-up (Quiz Competition), American International University Bangladesh, Bangladesh. 
  • Board Scholarship in both Secondary School Certificate (SSC) and Higher Secondary Certificate (HSC) examinations.

 

ACADEMIC EXPERIENCE

Examination

passed

(Give Subjects)

School/College

/University

Year of Passing/ Academic Year
BSc Engg (CoE) AIUB 2003
MSc IT Uni of ABERTAY Dundee, Scotland, UK 2006
PhD Eidth Cowan University, WA, Australia 2017

 

SUBJECTS TAUGHT

Sessional

  • Data Structures and Algorithms-II
  • Object Oriented Programming-II 

 

PUBLICATIONS

Peer Reviewed Journal Publication:

  • Shahriar Sazzad T. M., Armstrong L. J.,Tripathy A.K. , “Computer Based Automated Approach for Type P63 Digitized Color Images to Identify Ovarian Tissues” (Submitted and currently under review). 

 

  • Shahriar Sazzad T. M., Armstrong L. J.,Tripathy A.K. , “A Review of Ovarian Histopathology Microscopic Tissues Image Analysis” (Submitted and currently under review).

 

  • Sazzad, T. S., Islam, S., Mamun, M. M. R. K., & Hasan, M. Z. (2013). Establishment of an efficient color model from existing models for better gamma encoding in image processing. International Journal of Image Processing (IJIP), 7(1), 90. 

 

  • Sazzad, T. S., & Islam, S. (2013). Use of gamma encoder on HSL color model improves human visualization in the field of image processing. International Journal of Engineering Research and Engineering (IJCSE), Issues, 1(1), 177-182. 

 

  •  Sazzad, T. S., & Islam, S. (2013). Automatic detection of human body parts especially human hands considering gamma correction and template matching on noisy images. International Journal of Engineering Research and Applications (IJERA), ISSN, 2077-1207. 

 

  • Hasan, M. Z., Sazzad, T. S., & Rahman, M. H. (2012). Use of Gamma Encoder for Image Processing considering Human Visualization. International Journal of Computer Applications (IJCA), 58(10). 

 

  • Ahmed, M., Sazzad, T. S., & Mollah, M. E. (2012). Cryptography and State-of-the-art Techniques. IJCSI International Journal of Computer Science Issues, 9(2-3). 

 

Referred Conference Proceedings:

  • Shahriar Sazzad T. M., Rifath Mahmud (2020), “Breast tumor detection using MRI images”, ACM International Conference on Computing Advancements (ICCA), 2020, Dhaka, Bangladesh, January 10-012, 2020 (submitted and under review).

 

  • Shahriar Sazzad T. M., Mahmuda Akter (2019), “Breast tumor analysis using Ultrasound images”, IEEE International Conference on Sustainable Technologies for Industry (STI), 2019, Dhaka, Bangladesh, December 24-25, 2019 (submitted and under review).

 

  • Shahriar Sazzad T. M., Misbah Ul Hoque, Farabi Rahman (2019), “An Automated Approach to Detect Breast Tumor using Ultrasound Images”, IEEE 1st International Conference on Advances in Science, Engineering and Robotics Technology 2019 (ICASERT-2019), 2019, Dhaka, Bangladesh, May 03-05, 2019.

 

  • Shahriar Sazzad T. M., Misbah Ul Hoque (2019), “Development of Automated Brain Tumor Identification Using MRI Images”, 2nd International Conference on Electrical, Computer and Communication Engineering (ECCE), 2019, Cox’s bazar, Bangladesh,February 07-09, 2019.

 

  • Shahriar Sazzad T. M., Armstrong L. J., Tripathy A.K. (2017), “An Automated Ovarian Tissue Detection Approach Using Type P63 Counter Stained Images to Minimize Pathology Experts Observation Variability”. 11th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGVCVIP 2016), Lisbon, Portugal, July 2017.   

 

  • Shahriar Sazzad T. M., Armstrong L. J., Tripathy A.K. (2016), “An Automated Ovarian Tissue Detection Approach Using Type P63 Non-Counter Stained Images to Minimize Pathology Experts Observation Variability”, IEEEIECBES 2016, 5-7 December, 2016, Malaysia.  

 

  • Shahriar Sazzad T. M., Armstrong L. J., Tripathy A.K. (2016), “P63 Digitized Color Images Performs Better Identification for Ovarian Reproductive Tissue Analysis”, IEEE Second International Image Processing, Applications and Systems Conference (IPAS), November 4-7, 2016, Tunisia. 

 

  • Shahriar Sazzad T. M., Armstrong L. J., Tripathy A.K. (2016), “A Comprehensive Analysis and Review: Automated Ovarian Tissue Detection Using Type P63 Pathology Color Images”, IEEE The 13th International Joint Conference on Computer Science and Software Engineering (JCSSE), Thailand.  

 

  • Shahriar Sazzad T. M., Armstrong L. J.,Tripathy A.K. (2016) ,”Type P63 Digitized Color Images Performs Better Identification for Ovarian Tissue Analysis”. International Conference on Mass Data Analysis of Images and Signals (MDA), MDA 2016,New York, USA, July 9 -12, 2016.  

 

  • Shahriar Sazzad T. M., Armstrong L. J.,Tripathy A.K. (2016), “A Comprehensive Analysis: Automated Ovarian Tissue Detection Using Type P63 Pathology Color Images”. International Conference on Machine Learning and Data Mining (MLDM), MLDM 2016,  New York, USA, July 16 -21, 2016.

 

  • Shahriar Sazzad T. M., Armstrong L. J.,Tripathy A.K. (2016), “Type P63 Non-Counter Stained Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis”. 20th International Conference Information Visualization (IV16), Portugal, 19 – 22 July 2016.   

 

  • Shahriar Sazzad T. M., Armstrong L. J., Tripathy A.K. (2016), “A Comparative Study of Computerized Approaches for Type P63 Ovarian Tissues Using Histopathology Digitized Color Images”. 10th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGVCVIP 2016), Portugal, July 1-4, 2016.   

 

  • Shahriar  Sazzad T. M., Armstrong L. J., Tripathy A.K.(2016), “Type P63 Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis”. IX Conference on Articulated Motion and Deformable Objects (AMDO), Palma,  Mallorca, Spain. 13-15 July 2016.  

 

  • Shahriar  Sazzad T. M., Armstrong L. J.,Tripathy A.K. (2016), “An automated approach to detect human ovarian tissues using type P63 counter stained histopathology digitized color images”. 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2016, Las Vegas, NV, USA, February 24-27, 2016. IEEE 2016, ISBN 978-1-5090-2455-1.   

 

  • Shahriar Sazzad T. M., Armstrong L. J.,Tripathy A.K. (2015), “An Automated Detection Process to Detect Ovarian Tissues Using Type P63 Digitized Color Images”. 27th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2015, Vietrisul Mare, Italy, November 9-11, 2015. IEEE Computer Society 2015, ISBN 978-1-5090-0163-7. 

 

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