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Department of Electrical, Electronic and Communication Engineering (EECE)

Tareque Bashar Ovi

Lecturer, Department of Electrical, Electronic and Communication Engineering (EECE)

CONTACT INFORMATION:

 

  • Dept of EECE, 2nd Floor, Tower – 3, MIST.

Mirpur Cantonment, Dhaka-1216, Bangladesh.

 

 

ACADEMIC Qualification:

 

  • Bachelor of Science in Electrical Electronic and Communication Engineering (4 Years)

Department of Electrical Electronic and Communication Engineering (EECE), Military Institute of Science and Technology, Dhaka, Bangladesh

 

Professional Experience

  • Adjunct Lecturer, Department of CSE, Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka-1216, Bangladesh.

Duration : April,2024 – Present

 

Research Interest:

 

  • Artificial Intelligence and Machine Learning
  • Deep Learning and Computer Vision
  • Multi-modal Medical Imaging
  • Remote Sensing
  • Photonics

 

 

List of Peer-reviewed Journal publications

 

  • Tareque Bashar Ovi, Nomaiya Bashree, Hussain Nyeem, Md Abdul Wahed, Faiaz Hasanuzzaman Rhythm, and Ayat Subah Alam. A Novel Dual Attention Approach for DNN-based Automated Diabetic Retinopathy Grading. Accepted in International Journal of Imaging Systems and Technology (Q2, IF-4)

 

  • Dibaloke Chanda, Md Saif Hassan Onim, Hussain Nyeem, Tareque Bashar Ovi, and Sauda Suara Naba. DCENSnet: A new deep convolutional ensemble network for skin cancer classification. Biomedical Signal Processing and Control, volume 89, page 105757. Elsevier, 2024.(Q1, IF-4.9)
  • Md Saif Hassan Onim, Hussain Nyeem, Koushik Roy, Mahmudul Hasan, Abtahi Ishmam, Md Akiful Hoque Akif, and Tareque Bashar Ovi. Blpnet: A new dnn model and bengali ocr engine for automatic licence plate recognition. Array, volume 15, page 100244. Elsevier, 2022.(Q1, IF-4)

 

  • Tareque Bashar Ovi, Nomaiya Bashree, Hussain Nyeem, Md Abdul Wahed, FocusU2Net: Pioneering Dual Attention with Gated U-Net for Colonoscopic  Polyp Segmentation. Under Review Computers in Biology and Medicine (Q1, IF-7)

 

 

  • Tareque Bashar Ovi, Nomaiya Bashree, Hussain Nyeem, Md Abdul Wahed, Faiaz Hasanuzzaman Rhythm, and Disha Chowdhury. FEUNet: Dual Attention U-Net for Bleeding Segmentation in Capsule Endoscopy Images. Under Review  IET Computer Vision Journal.

 

 

BOOK CHAPTER

 

  • Tareque Bashar Ovi, Nomaiya Bashree, Protik Mukherjee, Shakil Mosharrof, and Masuma Anjum Parthima. Performance Analysis of Various EfficientNet Based U-Net++ Architecture for Automatic Building Extraction from High Resolution Satellite Images. arXiv preprint arXiv: 2310.06847, 2023.

 

  • Tareque Bashar Ovi, Shakil Mosharrof, Nomaiya Bashree, Md Shofiqul Islam, and Muhammad Nazrul Islam. DeepTriNet: A Tri-Level Attention Based DeepLabv3+ Architecture for Semantic Segmentation of Satellite Images. arXiv e-prints, pages arXiv–2310, 2023.

 

  • Md Abrar Shahriar Kabir, Sadia Binte Zahid, Tareque Bashar Ovi, Nomaiya Bashree, Hussain Nyeem, and  Md Abdul Wahed. Dual Attention-Guided Deep Learning for
  • Multi-Class Gastrointestinal Disease Detection. ICHCSC-2024

 

  • Disha Chowdhury, Nomaiya Bashree, Tareque Bashar Ovi, Hussain Nyeem, Md Abdul Wahed and  Rawnak Tanzim. Attention-Enhanced Multi-Dilation CNN for Plant Disease Classification. ICHCSC-2024

 

  • Tareque Bashar Ovi, Md Jawad-Ul Kabir Chowdhury, Shaira Senjuti Oyshee, and Mubdiul Islam Rizu. Infection Segmentation from COVID-19 Chest CT Scans with Dilated CBAM U-Net. In International Conference on Machine Intelligence and Emerging Technologies, pages, 137–151. Springer, 2022.

 

  • Nomaiya Bashree, Tareque Bashar Ovi, Hussain Nyeem, and  Md Abdul Wahed.

Enhanced Chest CT Infection Segmentation with Reverse Attention and CBAM. ICHCSC -2024

 

Fully Refereed International Conference Papers

 

· Tareque Bashar Ovi, Nomaiya Bashree, Hussain Nyeem, Md Abdul Wahed, Disha

Chowdhury and Md. Abrar Shahriar Kabir. Improving Semi-Supervised Surgical

Tools Segmentation with Contrastive Dual Attention. In ICAEEE 2024,

3rd International Conference on Advancement in Electrical and Electronic

Engineering, IEEE, 2024.

 

· Tareque Bashar Ovi, Nomaiya Bashree, Hussain Nyeem, Md Abdul Wahed, Ayat

Subah Alam and Faiaz Hasanuzzaman Rhythm. A Transformer-based Text-Guided

Approach for Improved Colonoscopic Polyp Segmentation. In ICAEEE 2024, 3rd

International Conference on Advancement in Electrical and Electronic Engineering,

IEEE, 2024.

 

  • Tareque Bashar Ovi, Nomaiya Bashree, Protik Mukherjee, andMasuma Anjum Parthima. RoadDuAttNet: A Dual Attention BasedUnet Architecture For Road Extraction From Satellite Image Utilizing Regional Features. In 2023 International Conference on Information and Communication Technology for SustainableDevelopment (ICICT4SD), pages 362–366. IEEE, 2023.
  • Tareque Bashar Ovi, Nomaiya Bashree, Saleh Ahmed, Hussain Nyeem, and Md Abdul Wahed. Pixel Standardization Meets U2Net:Advancing Polyp Segmentation in Colonoscopy Images. In 2023 International Conference on Information and CommunicationTechnology for Sustainable Development (ICICT4SD), pages 448–452. IEEE, 2023.
  • Nomaiya Bashree, Tareque Bashar Ovi, Saleh Ahmed, Md AbdulWahed, and Hussain Nyeem. Context-Aware Skin Lesion Segmentation with U2Net and Image Standardization. In 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), pages 453–457. IEEE, 2023.
  • Tareque Bashar Ovi, Sauda Suara Naba, Dibaloke Chanda, and Md Saif Hassan Onim. A Transfer-Learning Based Ensemble Architecture for ECG Signal Classification. In 2022 IEEE Region 10Symposium (TENSYMP), pages 1–6. IEEE, 2022.
  • Tareque Bashar Ovi and Adil Ahnaf. An Ensemble Based StackingArchitecture For Improved Bangla Optical Character Recognition. In 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI), pages 1–6. IEEE, 2022.
  • Tasnim Hossain Orpa, Adil Ahnaf, Tareque Bashar Ovi, and Mubdiul Islam Rizu. An IoT Based Healthcare Solution With ESP32 Using Machine Learning Model. In 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI),pages 1–6. IEEE, 2022.
  • Mahmudul Haque, Syma Afsha, Tareque Bashar Ovi, and Hussain Nyeem. Improving Automatic Sign Language Translation with Image Binarisation and Deep Learning. In 2021 5th InternationalConference on Electrical Engineering and Information Communication Technology (ICEEICT), pages 1–5. IEEE, 2021

 

Awards

  • Best Paper Award for DeepTriNet: A Tri-Level Attention Based DeepLabv3+ Architecture for Semantic Segmentation of Satellite Images at Human-Centric Smart Computing Proceedings ofICHCSC 2023
  • Best Paper Presentation Award for Pixel Standardization MeetsU2Net: Advancing Polyp Segmentation in Colonoscopy Images at 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)
  • Champion, Best Poster Award Competition Organized by BMEDept, MIST,2022
  • Runner-up, Best Poster Award Competition Organized by BMEDept, MIST,2022
  • Champion, Pitch Camp Competition Organized by MIST Innovation Club, 2022

 

  • MIST Dean’s List of honor – 2021

 

 

 

Professional Membership

 

  • Student Member, IEEE

 

 

 

Course Taught

 

  • EECE-102, Electrical Circuits and Simulation Laboratory
  •  EECE-212, Numerical Technique Laboratory
  • EECE-272, Electrical Machines and Electronics Session
 

 

Tareque Bashar Ovi

Lecturer Department of Electrical, Electronic and Communication Engineering (EECE) tareque@eece.mist.ac.bd