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Sultana Umme Habiba

Sultana Umme Habiba

Lecturer

Department of Textile Machinery Design and Maintenance
Faculty of Science and Engineering

habiba@tmdm.butex.edu.bd

92 Shaheed Tajuddin Ahmed Avenue Tejgaon Industrial Area, Dhaka - 1208, Bangladesh

Biography

Sultana Umme Habiba has been working as a Lecturer in the Department of Textile Machinery Design and Maintenance (TMDM) at Bangladesh University of Textiles (BUTEX) since June 07, 2023. Previously, she worked as a Lecturer in the Department of Computer Science and Engineering (CSE) at Green University of Bangladesh from May 14, 2019, to June 06, 2023.

Education
Sultana has completed her Master of Science (M.Sc.) in Computer Science and Engineering at Bangladesh University of Engineering & Technology (BUET). She has also completed her Bachelor of Science (B.Sc) in Computer Science and Engineering from Khulna University of Engineering & Technology (KUET). She has shown her academic excellence in earlier education getting merit positions throughout the country. She secured the 47th position on the Dhaka Board Merit List in H.S.C.(2014) and the 5th position on the Dhaka Board Merit List in S.S.C.(2012) and received board scholarships.
Journal Publication

"Transfer Learning-Assisted DementiaNet: A Four Layer Deep CNN for Accurate Alzheimer’s Disease Detection from MRI Images." In International Conference on Brain Informatics, pp. 383-394. Cham: Springer Nature Switzerland, 2023.

A Deep Convolutional Neural Network for Automatic Detection of COVID-19 from Chest X-Rays and CT Scans, Computer Methods and Programs in Biomedicine Update, Volume 2, 2022, 100064, ISSN 2666-9900

"Brain-DeepNet: A Deep Learning Based Classifier For Brain Tumor Detection and Classification", 5th International Conference on Intelligent Computing & Optimization 2022 (ICO 2022)

“Depressive Bangla Text Detection from Social Media Post Using Different Data Mining Techniques”, International Conference on Computational Intelligence in Machine Learning 2021, (ICCIML 2021).

“A Comparative Study on Fake Job Post Prediction Using Different Data Mining Techniques”, 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST)

“Tomato Plant Diseases Classification Using Deep Learning Based Classifier From Leaves Images”, International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), BUP, 27-28 February 2021.

Human Age Estimation and Gender Classification Using Deep Convolutional Neural Network”, Cyber Security and Computer Science. ICONCS 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 325. Springer, Cham.

“Bangladeshi Plant Leaf Classification and Recognition Using YOLO Neural Network”, International Conference on Innovation in Engineering and Technology (ICIET), University of Dhaka, 23-24 December 2019.

“Bangladeshi Plant Recognition using Deep Learning based Leaf Classification”, 5th International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, (IC4ME2), Rajshahi, Bangladesh, 11-12 July 2019.

Researchs

Research Area of Interest:

  • Deep Learning
  • Computer Vision
  • Image Processing
  • Natural Language Processing
  • Artificial Intelligence
  • Bioinformatics
  • Data Mining

Sultana has completed her Master of Science (M.Sc.) in Computer Science and Engineering at Bangladesh University of Engineering & Technology (BUET). She has also completed her Bachelor of Science (B.Sc) in Computer Science and Engineering from Khulna University of Engineering & Technology (KUET). She has shown her academic excellence in earlier education getting merit positions throughout the country. She secured the 47th position on the Dhaka Board Merit List in H.S.C.(2014) and the 5th position on the Dhaka Board Merit List in S.S.C.(2012) and received board scholarships.

"Transfer Learning-Assisted DementiaNet: A Four Layer Deep CNN for Accurate Alzheimer’s Disease Detection from MRI Images." In International Conference on Brain Informatics, pp. 383-394. Cham: Springer Nature Switzerland, 2023.

A Deep Convolutional Neural Network for Automatic Detection of COVID-19 from Chest X-Rays and CT Scans, Computer Methods and Programs in Biomedicine Update, Volume 2, 2022, 100064, ISSN 2666-9900

"Brain-DeepNet: A Deep Learning Based Classifier For Brain Tumor Detection and Classification", 5th International Conference on Intelligent Computing & Optimization 2022 (ICO 2022)

“Depressive Bangla Text Detection from Social Media Post Using Different Data Mining Techniques”, International Conference on Computational Intelligence in Machine Learning 2021, (ICCIML 2021).

“A Comparative Study on Fake Job Post Prediction Using Different Data Mining Techniques”, 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST)

“Tomato Plant Diseases Classification Using Deep Learning Based Classifier From Leaves Images”, International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), BUP, 27-28 February 2021.

Human Age Estimation and Gender Classification Using Deep Convolutional Neural Network”, Cyber Security and Computer Science. ICONCS 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 325. Springer, Cham.

“Bangladeshi Plant Leaf Classification and Recognition Using YOLO Neural Network”, International Conference on Innovation in Engineering and Technology (ICIET), University of Dhaka, 23-24 December 2019.

“Bangladeshi Plant Recognition using Deep Learning based Leaf Classification”, 5th International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, (IC4ME2), Rajshahi, Bangladesh, 11-12 July 2019.

Research Area of Interest:

  • Deep Learning
  • Computer Vision
  • Image Processing
  • Natural Language Processing
  • Artificial Intelligence
  • Bioinformatics
  • Data Mining