Jamalia Sultana
About Me
CS PhD (1st year)|Researcher
I am a Graduate Student (1st year in PhD) in the Department of Computer Science (CS) at Stony Brook University. My research interest broadly lies in Medical Image Analysis, Medical Image Segmentation, Semi-supervised learning, Human-Computer Interaction (HCI), applied ML Models, and Mathematical Models.
Published Works
2023
Jamalia Sultana, Dr. Mahmuda Naznin (Supervisor), Dr. Tanvir Faisal, Semi-Supervised Learning Based Femur Segmentation from QCT Images, 22nd International Conference on Machine Learning and Application (IEEE ICMLA), 2023. (Accepted on 28 Sep. 2023).
Jamalia Sultana, Dr. Mahmuda Naznin (Supervisor), Dr. Tanvir Faisal, SSDL–An efficient automated semi-supervised deep learning approach for patient-specific 3D reconstruction of proximal femur from QCT images, Medical & Biological Engineering & Computing (MBEC), 2023. (Accepted with minor revision, 29 Sep. 2023).
Jamalia Sultana, Benzir MD. Ahmed, Mohammad Mehedy Masud, A. K. Obidul Huq, Mohammed Eunus Ali, and Mahmuda Naznin, A Study on Food Value Estimation From Images: Taxonomies, Datasets, and Techniques, IEEE Access, 2023.
Jamalia Sultana, Dr. Mahmuda Naznin (Supervisor), Dr. Tanvir Faisal, Automated End-to-end Segmentation of Proximal Femur, in 18th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering (CMBBE), 2023. Accepted for Presentation. [Poster]
Jamalia Sultana, Dr. Mahmuda Naznin (Supervisor), Dr. Tanvir Faisal, Automated Femur Isolation In CT Scan Images By Generating Binary Mask-a Critical Step For 3d Femur Reconstruction, in Orthopedic Research Society (ORS), 2023. Accepted for Poster Presentation. [Poster]
2022
Jamalia Sultana, Dr. A. B. M. Alim Al Islam, Analyzing Fault-tolerance in Deep Learning Models for Medical Data Corruption by Humans, in 9th International Conference on Networking, Systems and Security (NSysS), 2022. Received the Champion Student Poster Award for Student Poster Presentation in NSysS 2022.
Jamalia Sultana, Dr. Mahmuda Naznin (Supervisor), Breaking the Barrier with a Multi-Domain SER, in IEEE 46th Annual Computers, Software, and Applications Conference, (IEEE COMPSAC), 2022, pp. 456-461, DOI: 10.1109/COMPSAC54236.2022.00088
2020
Jamalia Sultana, Dr. Mahmuda Naznin (Supervisor), Impact of Biological Gender on Emotion Detection in Voice Data in Grace Hopper Conference (GHC), 2020. Published as Poster Session. Selected for ACM Student Research Competition.
Current Running Works
Jamalia Sultana, Dr. Mahmuda Naznin (Supervisor), Leveraging Emotion Detection Using Multi-Corpus Cross-Lingual Data. (Submitted to Computer Speech & Language).
Md. Shaifur Rahman, Jamalia Sultana, Mohammed Nahiyan Uddin, Rifat Shahriyar, Sadia Sharmin, Mahmuda Naznin, `Leveraging Operations of A Mobile Agent in A Smart Sensing System through Efficient Path Planning. (Submitted to Expert Systems With Applications).
Jamalia Sultana, Benzir M. Ahmed, Mohammad Mehedy Masud, Dr. Mahmuda Naznin (Supervisor), Mohammed Eunus Ali, A Novel Deep Learning CNN based Framework for Calorie Estimation from Food Images.
Jamalia Sultana, Dr. A. B. M. Alim Al Islam, Analyzing Reliability of Medical Anomaly detecting Deep Learning Models for Medical Data Corruption by Humans.
Research/Work Experience
2022
Graduate Research Fellow, Bangladesh University of Engineering and Technology (BUET), Computer Science and Engineering (CSE) - July 2021 - Jun 2023. Only Student from CSE to receive this honor.
Automated Framework for Bone Isolation and Reconstruction in Bone Morphology Study. Supervisor: Prof. Dr. Mahmuda Naznin.
2021
Research Assistant (Part-Time), United International Univerisity (UIU), Computer Science and Engineering (CSE), at Diabetes Project - August. 2021 - June 2022.
Blood Glucose Prediction from Daily Food Intake and Activities. Grant No.- UIU/IAR/01/2021/SE/11, PI-Md. Benzir Ahmed (CSE, UIU), Co-PI- Mahmuda Naznin (CSE, BUET), Md. Eunus Ali (CSE, BUET), Mehedy Masud (UAE University), (2021-2023) . Supervisors: Prof. Dr. Mahmuda Naznin (Co-PI), Benzir M. Ahmed (PI), Prof. Dr. Muhammed Eunus Ali (Co-PI), Prof. Dr. Mehedy Masud (Co-PI).
2020
Undergraduate Research Student, Bangladesh University of Engineering and Technology (BUET), Computer Science and Engineering (CSE) - January 2020 - May 2021.
Speech Emotion Recognition from Voice Data. Supervisor: Prof. Dr. Mahmuda Naznin.
Research Interest
Medical Image Analysis (Segmentation and Isolation).
Applied Machine Learning and Model Analysis.
Speech Emotion Recognition (SER).
Facial Emotion Recognition (FER) and Image Processing.
Behaviour Analysis of People with ASD, Enhancing Communication of Non-verbal/Minimally-verbal Autistic Individuals.
Food Detection and Segmentation from Image.
Education
Pursuing M.Sc.Engg. (Full-Time) in Computer Science and Engineering (CSE) at Bangladesh University of Engineering and Technology (BUET): July 2021- Jun 2023
B.Sc. in Computer Science and Engineering (CSE) at Bangladesh University of Engineering and Technology (BUET): February 2016 - March 2021
Viqarunnisa Noon School and College: HSC'15, SSC'13
Awards & Recognitions
Received Champion Student Poster Award for Student Poster Presentation in NSysS 2022.
Selected as Student Volunteer at ACM UbiComp/ISWC 2022.
Graduate Research Fellowship from BUET 2021.
Training in CITI Program, Western Washington University, 2021.
Selected for ACM Student Research Competition, Grace Hopper Conference (GHC), 2020.
Selected for Study Tour at NASA, Kennedy Space Center in Florida, USA (Summer Camp for International Students, 2014).
Merit Scholarship in Higher Secondary Certificate Examination, Dhaka Education Board, 2015, 2013.
Notable Graduate Courses
Data Mining: Dr. Mahmuda Naznin (Course Teacher, Head of Faculty)
Meta Heuristics: Dr. M. Sohel Rahman (Course Teacher)
Network Science: Dr. Md. Saidur Rahman (Course Teacher)
Bioinformatics Algorithms: Dr. Md Shamsuzzoha Bayzid (Course Teacher)
Distributed Computing Systems: Dr. Rezwana Reaz (Course Teacher)
Advanced Dependable and Fault-Tolerant Computer Systems: Dr. A. B. M. Alim Al Islam Islam (Course Teacher)
Notable UnderGraduate Courses
Pattern Recognition
Artificial Intelligence
Data Structures and Algorithms
Fault Tolerant Systems
Computer Network
Computer Security
Operating System
Information System Design