CHAMAN
Ummay Maimona Chaman
Computer Science Engineer | Web Dev | ML/DL | AI | Writer | Robotics
Computer Science Engineer | Web Dev | ML/DL | AI | Writer | Robotics
Dedicated tech-savvy and ambitious undergraduate student in Computer Science, with a strong passion for
technology, programming, and research. My academic background is complemented by hands-on experience in
software development, machine learning, and robotics, as well as active participation in national and
international competitions and workshops. I have developed and contributed to projects in artificial
intelligence, web development, and smart systems, demonstrating my ability to learn quickly and apply
knowledge to real-world challenges.
My portfolio reflects a commitment to continuous learning, innovation, and collaboration within diverse
teams. I am now seeking opportunities to further my education and professional experience, where I can
contribute to impactful projects, expand my technical expertise, and make a meaningful difference in the
field of technology.
CGPA: (Ongoing)
Relevant Coursework: Machine Learning, Web Development, Microprocessors, Robotics, Data Science
GPA: 5.00 / 5.00
GPA: 5.00 / 5.00
Worked as a team member and developed an autonomous irrigation robot with plant detection, distance-based localization, rain sensing, temperature-dependent watering.
This is my undergrad thesis. We propose a multimodal deep learning framework using the QTAB dataset to detect adolescent anxiety early, achieving an AUC of 0.8935 with calibrated late fusion. (Under review at PLOS ONE, a peer-reviewed, open-access scientific journal published by the Public Library of Science)
A Comprehensive Survey on Privacy, Scalability, and Clinical Applications — Under review at ICT Express (Q1 journal).
Link will be added soon
This paper explores security challenges in AI‑driven visual editing and proposes a Responsible AI framework to safeguard digital media integrity. (Under review at IndabaX 26, a flagship machine learning community event whose proceedings are published in PMLR and indexed in Scopus and Google Scholar)
Link will be added soon
The method integrates CNN classification with PatchCore anomaly detection across ResNet, DenseNet, and EfficientNet backbones. Logistic regression combines classifier confidence, uncertainty, and anomaly scores, achieving ROC-AUC > 0.97 for pneumonia screening.
Link will be added soon
Submitted to the Knowledge Discovery and Data Mining (KDD) 2026 conference. A large-scale, multi-view indoor video dataset of 4,146 annotated clips across varied lighting conditions, designed to advance robust fall detection and human activity recognition research.
Link will be added soon
Creating and evaluating a dataset for fall detection systems.
Link will be added soon
In publication process at Bured Club Magazine (Reflection), exploring sustainable plastic management.
Link will be added soon
In publication process at Bured Club Magazine (Reflection), discussing AI image editing security.
Link will be added soon
Biomedical Science and Engineering Research Center. Worked at many Research initiatives & contributions
Newly promoted to lead the Research & Development department, driving innovation and mentoring junior researchers.
Visited the Software Engineering Department to exchange ideas on curriculum design, research culture, and industry alignment.
Conducted a hands-on workshop as Director, guiding participants through writing impactful research and theme papers.
Explores Augmedix Bangladesh
Showcase of Research Excellence
Industrial Visit & Insights
Interview Process Assistance and recruiting campaign support
Qualitative Data Analysis
Methodologies & Best Practices
