Most Nilufa Yeasmin

About Me

I am a first-year Ph.D. student in Computer Science at South Dakota State University, working in the 3D Perception and Scientific Imaging Laboratory under Dr. Ruyi Lian. My current research centers on neural solvers for camera pose estimation, outlier-resilient 3D reconstruction, and benchmarks that probe how well modern vision foundation models actually understand geometry and pose.

This work is grounded in a publication record (9 publications, 298 citations, h-index 5, i10-index 4 on Google Scholar) spanning computer vision, medical image analysis, and cybersecurity, including work published in EURASIP Journal on Information Security, Array (Elsevier), Bioinformatics and Biology Insights, and Big Data and Cognitive Computing. I also serve the community as an ad hoc reviewer for PLOS ONE.

Research Interests: Computer Vision · 3D Reconstruction · Camera Pose Estimation · Multi-view Geometry · Geometric Deep Learning · Neural Solvers · Foundation Models for Vision · Medical Image Analysis · Explainable Machine Learning

📧 Contact: MostNilufa.Yeasmin [at] jacks [dot] sdstate [dot] edu

🔥 News

🎓Aug 2026Began serving as a Graduate Teaching Assistant for CSC 300 (Data Structures) and CSC 445 (Introduction to Theory of Computation) at South Dakota State University.
📝Aug 2026"PoseBench: Probing Pose Awareness in Visual Foundation Models" submitted to the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
📝Jun 2026"DeepOnP: Outlier-Resilient Neural Solver for the Orthographic-n-Point Problem" submitted to Pattern Recognition Letters.
🎓Jan 2026Began PhD studies in Computer Science at South Dakota State University, advised by Dr. Ruyi Lian.
📝Dec 2025"EnLeM: An Ensemble Learning-based Model for Detecting Phishing Websites" published in EURASIP Journal on Information Security (Springer Nature).
🏢Dec 2025Completed a research assistantship at the BUBT Research and Innovation Center, Dhaka, Bangladesh.
📝Jul 2024Review article "Advances of AI in Image-Based Computer-Aided Diagnosis" published in Array (Elsevier).
🏆2024–2025Received the University Merit Scholarship for two consecutive years at Islamic University, Bangladesh.
📝Mar 2024Co-authored a paper on high-throughput biological sequence analysis, published in F1000Research.
💼2024Began serving as an ad hoc reviewer for PLOS ONE.
📝Jun 2023Co-authored an article on COVID-19/smoking biomarkers, published in Bioinformatics and Biology Insights.

🎓 Background

South Dakota State University Brookings, SD, USA · Jan 2026 – Present

PhD Student, Computer Science (specialization: AI & Computer Vision)

Advisor: Dr. Ruyi Lian

Dissertation: DeepOnP: Outlier-Resilient Neural Solver for the Orthographic-n-Point Problem

Islamic University Kushtia, Bangladesh · Jan 2016 – Nov 2020

B.Sc., Information and Communication Technology

Advisor: Dr. Bikash Chandra Singh

Thesis: Analysis and Prediction of User Sentiment on the COVID-19 Pandemic through a Deep Learning Approach Using Tweets

Research Experience

Graduate Research Assistant South Dakota State University · Jan 2026 – Present

Robust geometric computer vision, neural solvers, and camera pose estimation for the Orthographic-n-Point problem, under Dr. Ruyi Lian.

Research Assistant BUBT Research and Innovation Center, Dhaka, Bangladesh · Apr 2025 – Dec 2025

Collaborative research in machine learning, computer vision, and data-driven intelligent systems.

Volunteer Research Assistant Computer Vision and Intelligent Interfacing Lab, Islamic University · Sep 2022 – Jun 2023

Biomedical data analysis: network-based biomarker identification and high-throughput biological sequence analysis, under Dr. Zahidul Islam.

Undergraduate Research Student Data Privacy and Security Research Lab, Islamic University · Jan 2019 – May 2024

Machine learning and deep learning pipelines for COVID-19 Twitter sentiment analysis and phishing website detection, under Dr. Bikash Chandra Singh.

🔬 Research

Robust Camera Pose Estimation & 3D Geometry

Submitted

DeepOnP: Outlier-Resilient Neural Solver for the Orthographic-n-Point Problem Lu Pang, Most Nilufa Yeasmin, Ruyi Lian. Pattern Recognition Letters, Submitted, 2026.

WACV Submitted

PoseBench: Probing Pose Awareness in Visual Foundation Models Most Nilufa Yeasmin, Derek Waite, Ruyi Lian. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Submitted, 2026.

Medical Image Analysis

Project

Retinal Vessel Segmentation with Deep Learning U-Net and U-Net++ with pretrained backbones on the DRIVE and CHASE datasets, evaluated on Dice, IoU, sensitivity, and specificity. Jan – May 2026.

Array 2024

Advances of AI in Image-Based Computer-Aided Diagnosis: A Review Most Nilufa Yeasmin, Md Al Amin, Tasmim Jamal Joti, Zeyar Aung, Mohammad Abdul Azim. Array, Elsevier, 2024.

Cybersecurity & Ensemble Learning

EURASIP 2025

EnLeM: An Ensemble Learning-based Model for Detecting Phishing Websites Most Nilufa Yeasmin, Md Abu Rumman Refat, Bikash Chandra Singh, Zulfikar Alom, Zeyar Aung, Mohammad Abdul Azim. EURASIP Journal on Information Security, Springer Nature, 2025.

Bioinformatics & Computational Biology

F1000Research 2024

High Throughput Biological Sequence Analysis Using Machine Learning-Based Integrative Pipeline for Extracting Functional Annotation and Visualization Md Al Amin, Feroza Naznin, Most Nilufa Yeasmin, Md Sumon Sarkar, Md Misor Mia, Abdullahi Chowdhury, Md Zahidul Islam. F1000Research, 2024.

BBI 2023

Molecular Biomarker Identification Using a Network-Based Bioinformatics Approach that Links COVID-19 with Smoking Md Anisur Rahman, Md Al Amin, Most Nilufa Yeasmin, Md Zahidul Islam. Bioinformatics and Biology Insights, SAGE Publications, 2023.

NLP & Social Media Mining

BDCC 2022

Analysis and Prediction of User Sentiment on COVID-19 Pandemic Using Tweets Most Nilufa Yeasmin, Nosin Ibne Mahbub, Mrinal Kanti Baowaly, Bikash Chandra Singh, Zulfikar Alom, Zeyar Aung, Mohammad Abdul Azim. Big Data and Cognitive Computing, 2022.

📝 Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

Most Nilufa Yeasmin, Md Abu Rumman Refat, Bikash Chandra Singh, Zulfikar Alom, Zeyar Aung, Mohammad Abdul Azim. "EnLeM: An Ensemble Learning-based Model for Detecting Phishing Websites." EURASIP Journal on Information Security, Springer Nature, 2025. DOI: 10.1186/s13635-025-00219-1.
Most Nilufa Yeasmin, Md Al Amin, Tasmim Jamal Joti, Zeyar Aung, Mohammad Abdul Azim. "Advances of AI in Image-Based Computer-Aided Diagnosis: A Review." Array, Elsevier, 2024. DOI: 10.1016/j.array.2024.100357.
Md Al Amin, Feroza Naznin, Most Nilufa Yeasmin, Md Sumon Sarkar, Md Misor Mia, Abdullahi Chowdhury, Md Zahidul Islam. "High Throughput Biological Sequence Analysis Using Machine Learning-Based Integrative Pipeline for Extracting Functional Annotation and Visualization." F1000Research, 2024. DOI: 10.12688/f1000research.144871.1.
Md Anisur Rahman, Md Al Amin, Most Nilufa Yeasmin, Md Zahidul Islam. "Molecular Biomarker Identification Using a Network-Based Bioinformatics Approach that Links COVID-19 with Smoking." Bioinformatics and Biology Insights, SAGE Publications, 2023. DOI: 10.1177/11779322231186481.
Most Nilufa Yeasmin, Nosin Ibne Mahbub, Mrinal Kanti Baowaly, Bikash Chandra Singh, Zulfikar Alom, Zeyar Aung, Mohammad Abdul Azim. "Analysis and Prediction of User Sentiment on COVID-19 Pandemic Using Tweets." Big Data and Cognitive Computing, 2022. DOI: 10.3390/bdcc6020065.

Conference Papers

Most Nilufa Yeasmin, Derek Waite, Ruyi Lian. "PoseBench: Probing Pose Awareness in Visual Foundation Models." IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Submitted, 2026.
Md Abu Rumman Refat, Md Al Amin, Chetna Kaushal, Most Nilufa Yeasmin, Md Khairul Islam. "A Comparative Analysis of Early-Stage Diabetes Prediction Using Machine Learning and Deep Learning Approach." 6th International Conference on Signal Processing, Computing and Control (ISPCC), pp. 654–659, 2021. DOI: 10.1109/ISPCC53510.2021.9609364.
Md Khairul Islam, Most Nilufa Yeasmin, Chetna Kaushal, Md Al Amin, Md Rakibul Islam, Md Imran Hossain Showrov. "Comparative Analysis of Steering Angle Prediction for Automated Object Using Deep Neural Network." 9th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO), pp. 1–7, 2021. DOI: 10.1109/ICRITO51393.2021.9596499.
A. Rashid, S. S. Binta Farhad, A. Bhuyian, Most Nilufa Yeasmin, M. A. Azim, Z. Alom. "A Comparative Analysis of Machine Learning Techniques on Breast Cancer Diagnosis Using WEKA." 25th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, pp. 663–668, 2022. DOI: 10.1109/ICCIT57492.2022.10055421.
S. S. Shawon, S. Afrin, Most Nilufa Yeasmin, M. A. Azim, Z. Alom. "Prediction of IDH1 Gene Expression in Glioblastoma Using Machine Learning Techniques." 25th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, pp. 336–341, 2022. DOI: 10.1109/ICCIT57492.2022.10054918.

Preprints

Most Nilufa Yeasmin, Ruyi Lian. "DeepOnP: Outlier-Resilient Neural Solver for the Orthographic-n-Point Problem." Pattern Recognition Letters, Submitted, 2026.

💼 Academic Services

Teaching

Aug 2026 – PresentGraduate Teaching Assistant, CSC 300 (Data Structures) & CSC 445 (Theory of Computation)South Dakota State University
Apr 2022 – Apr 2024Mentor, Physics & Mathematics (O-level / A-level)Tuitoriaa.com, Dhaka, Bangladesh

Reviewing & Committees

2024Ad hoc ReviewerPLOS ONE
2019Program Committee MemberWorkshop on Research Methodology and Scientific Paper Publishing

Leadership & Community

2017 – PresentFounding MemberAlorito'30, Islamic University, Bangladesh
2020 – PresentVolunteerSave The Tomorrow, Chapai Nawabganj Branch, Bangladesh
2016 – 2019Programming Trainer, "Programming Club"Dept. of ICT, Islamic University, Bangladesh
2018 – 2020Active MemberICT Innovation Lab, Islamic University, Bangladesh
2016 – 2019Executive MemberChapai Nawabganj Student Association, Islamic University, Bangladesh

Awards & Honors

2024 – 2025University Merit Scholarship, two consecutive yearsIslamic University, Bangladesh
20181st Runner Up, Programming ContestDept. of ICT, Islamic University, Bangladesh
2018Certificate of Participation, North South University Inter-University Girls' Programming ContestTeam: IU Girls
2016Award, Mathematics ContestDept. of ICT, Islamic University, Bangladesh

Certifications

Feb 2024Deep Learning Specialization (128 hrs)Andrew Ng, Stanford University (Coursera)
Sep 2019Machine Learning Specialization (60 hrs)Andrew Ng, Stanford University (Coursera)
Jun 2019Python for Everybody (19 hrs)Charles Severance, University of Michigan