Dr Shajahan Aboobacker

Associate Professor

About

I am Shajahan Aboobacker, a dedicated researcher and educator with a Ph.D. in Biomedical Image Processing. My expertise and research interests focus on Computer Vision and Deep Learning, areas where I am passionate about advancing knowledge and technology.  In addition to my research pursuits, I am dedicated to academia as a professor, where I enjoy teaching and guiding the next generation of learners and researchers.


Education Qualifications

Sl.No Qualification Level University Area of Specialization Year of Compeltion Awards
1 Ph.D. NITK Surathkal Biomedical Image Processing, Computer Vision 2024

Best Paper Award at International Conference, CVMI 2022

2 MTech NITK Surathkal Communication Engineering 2011
3 BTech Kannur University ECE 2008

Work Experience

  • Current
    • St. Joseph Engineering College 
      • Associate Professor in ICBS Department
      • 06-06-2024
  • Previous
    • KIT's College of Engineering Kolhapur
      • Assistant Professor
      • 05-08-2023
      • 02-06-2024
    • LBS College of Engineering
      • Assistant Professor
      • 15-06-2015
      • 17-04-2018
    • St Joseph Engineering College
      • Assistant Professor
      • 27-01-2014
      • 30-05-2015
    • Royal College of Engineering and Technology
      • Assistant Professor
      • 20-09-2011
      • 01-11-2013


Research Areas

Deep Learning, Computer Vision, Medical Image Processing


Journal Publications

"Semantic segmentation of low magnification effusion cytology images: A semi-supervised approach", Computers in Biology and Medicine, 2022,vol. 150, pp. 106179, [Q1, SCI, Scopus] doi:https://doi.org/10.1016/j.compbiomed.2022.106179


Conference Proceedings

1. "Semi-supervised Semantic Segmentation for Effusion Cytology Images", Computer Vision and Machine Intelligence: Proceedings of CVMI 2022, pp. 429-440, Springer Nature Singapore [Q4, Scopus] doi:https://link.springer.com/chapter/10.1007/978-981-19-7867-8_34

2. "Semi-supervised Semantic Segmentation of Effusion Cytology Images Using Adversarial Training", Computer Vision and Machine Intelligence: Proceedings of CVMI 2022, pp. 539-551, Springer Nature Singapore, [Q4, Scopus] doi:https://link.springer.com/chapter/10.1007/978-981-19-7867-8_43

3. "Semantic Segmentation on Low Resolution Cytology Images of Pleural and Peritoneal Effusion", 2022 National Conference on Communications (NCC), 2022, pp. 82-87, [Scopus] doi:https://doi.org/10.1109/NCC55593.2022.9806747.

4. ”A Deep Learning Model for the Automatic Detection of Malignancy in Effusion Cytology”, 2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Macau, China, 2020, pp. 1-5, [Scopus] doi:https://doi.org/10.1109/ICSPCC50002.2020.9259490


Awards and Recognitions

Best paper award at International Conference, CVMI2022

 

Patent 

REAL - TIME HUMAN TARGET VISUAL TRACKING AND ANOMALY DETECTION

Patent no. 202421024416 A, Published on 03/05/2024

 


Membership in professional Bodies

IEEE Membership

IETE Membership


Workshop/FDPs Attended

1 01-12-2022 to 03-12-2022 SoC Design Methodology using Intel FPGAs 3 NITK, Surathkal
2 09-04-2022 to 29-04-2022 Applications of Radiomics in Healthcare 21 Dept of ECE, NITK, Surathkal
3 02/03/2020 Hands-on Xilinx PYNQ Board with FPGA 1 NITK, Surathkal
4 17-03-2019 to 21-03-2019 Summer School on Deep Learning 5 Dept of CSE, NITK, Surathkal
5 17/03/2019 Sixth Sense Robotics 1 Skyfi Labs at NITK, Surathkal
6 20-08-2018 to 24-08-2018 Algorithms and Architecture for High Efficient Video Processing Systems 5 NITK, Surathkal
7   Research Methods in Educational Technology 7 IIT Bombay online, at RCET, Trissur
8   Analog Electronics 14 IIT Kharagpur online, at RCET, Trissur
9 27/11/2012 Hands-on Workshop on DSP Processor 1 Electronics and Communication Engineering Department, Royal College of Engineering and Technology, Trissur
10 22/11/2012 Scientific Computing using Python 1 Computer Science and Engineering Department, Royal College of Engineering and Technology, Trissur
11 23-04-2012 to 26-04-2012 Excellence in Teaching 4 Royal College of Engineering and Technology, Trissur
12 02-11-2011 to 03-11-2011 Hands-on Workshop on LabView 2 Electronics and Communication Engineering Department, Royal College of Engineering and Technology, Trissur
13 15-10-2011 to 16-10-2011 Maestro-Talentoso 2 Appled Electronics and Instrumentation Department, Royal College of Engineering and Technology, Trissur


Conferences attended

CVMI 2022

NCC 2022

ICSPCC 2020


Contact Information


Dr Shajahan Aboobacker

Associate Professor

shajahana@sjec.ac.in

References