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Umme Fawzia Rahim, PhD

Assistant Professor, Department of Computer Science and Engineering, DUET, Gazipur

Mobile: +8801748107030
Email: [email protected]
Office:
Address: Office Room # 7003, Syed Nazrul Islam Academic Building (SNIAB), DUET, 1707, Gazipur, Gazipur, Bangladesh
Field of interest: Deep learning , Computer Vision, Applied Artificial Intelligence
Field of specialization: Image-based plant-phenotyping, Object detection, Instance Segmentation, Multi-Object Tracking (MOT)
Degrees Obtained (Starting from Recent Degrees):
# Degree Institute Year Discipline & Field
1 PhD Shizuoka University, Japan 2023 Information Science and Technology
2 M.Sc. in Eng. Shizuoka University, Japan 2020 Informatics
3 B.Sc. in Eng. Rajshahi University of Engineering and Technology (RUET), Bangladesh 2012 Computer Science and Engineering
4 HSC Adamjee Cantonment Colleage 2007 Science
5 SSC Bheramara Secondary Girls' School 2005 Science
Employment Record (Starting from Present Position):
# Designation Institute Duration
1 Assistant Professor Dhaka University of Engineering & Technology 2023-08-09 : Continue
2 Lecturer Dhaka University of Engineering and Technology (DUET), Gazipur, Bangladesh 2018-03-22 : 2021-10-08
3 Lecturer IUBAT—International University of Business Agriculture and Technology 2013-01-26 : 2018-02-28
Publications (Journal):
# Year Title Authors Event
1 2022 Deep learning-based accurate grapevine inflorescence and flower quantification in unstructured vineyard images acquired using a mobile sensing platform Umme Fawzia Rahim, Tomoyoshi Utsumi, Hiroshi Mineno Computers and Electronics in Agriculture
2 2020 Tomato Flower Detection and Counting in Greenhouses Using Faster Region-Based Convolutional Neural Network Umme Fawzia Rahim and Hiroshi Mineno Journal of Image and Graphics
3 2020 Data augmentation method for strawberry flower detection in non-structured environment using convolutional object detection networks Umme Fawzia Rahim and Hiroshi Mineno Journal of Agricultural and Crop Research
Publications (Conference):
# Year Title Authors Event
1 2023 Automated Grapevine Inflorescence Counting in a Vineyard Using Deep Learning and Multi-object Tracking Umme Fawzia Rahim; Tomoyoshi Utsumi; Yohei Iwaki; Hiroshi Mineno 2023 15th International Conference on Computer and Automation Engineering (ICCAE)
2 2021 Highly Accurate Tomato Maturity Recognition: Combining Deep Instance Segmentation, Data Synthesis and Color Analysis Umme Fawzia Rahim and Hiroshi Mineno 3rd Asia Digital Image Processing Conference (ADIP 2021)
3 2021 Comparison of grape flower counting using patch-based instance segmentation and density-based estimation with convolutional neural networks Umme Fawzia Rahim, Tomoyoshi Utsumi, Hiroshi Mineno International Symposium on Artificial Intelligence and Robotics 2021, 2021, Fukuoka, Japan
4 2021 Comparison of Grape Flower Counting Using Patch-Based Instance Segmentation and Density-Based Estimation with Convolutional Neural Networks Umme Fawzia Rahim, Tomoyoshi Utsumi and Hiroshi Mineno The 6th International Symposium on Artificial Intelligence and Robotics 2021
Fellowship / Membership of Scientific and Professional Societies:
# Type Organization Membership Code
1 Member IEEE Student member 97658500
Honors and Awards:
# Title Event Year
1 Excellent Student Award 2020 Shizuoka University 2020
2 Dean's Award School of Science and Technology, Shizuoka University 2023