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Research Assistant

Institute of Molecular Medicine, The University of Texas Health Science Center at Houston (UTHealth)

• Conducted the 3D image acquisition process for an ongoing clinical trial on dermal backflow as a predictor of cancer-related lymphedema.
• Led the design and development of a project focusing on 3D rendering and analysis of dermal backflow.
• Applied advanced image processing algorithms to monitor dermal backflow and identify early lymphatic system dysfunction.
• Prepared research grant proposals on the proposed methods.

Graduate Research Assistant

Computational Biology & Medicine Laboratory (CBML), University of Houston

• Designed and benchmarked a contrastive learning-based approach for the identification of keypoints (anatomical landmarks) on 3D surface scans of the human torso, facilitating the use of objective metrics for monitoring physiological changes.
• Executed a precise and automated registration technique on 3D surface scans of the human torso, ensuring accurate alignment and data consistency for further analysis of multi-visit longitudinal data.
• Conducted comprehensive analysis to assess fat graft survival rates as an emerging reconstructive technique among breast cancer survivors, contributing valuable insights for oncoplastic surgeons to enhance treatment outcomes.
• Implemented a contrastive learning-based approach for 3D image retrieval, optimizing accuracy in medical imaging of breast cancer survivors.
• Conducted research analysis to evaluate the psychological impact of breast reconstruction on breast cancer survivors, utilizing psychometric tools for a comprehensive analysis toward actionable findings.

Graduate Teacher Assistant

Department of Computer Science, University of Houston

• Developed and delivered course materials and interactive lab sessions to enhance student understanding and engagement.
• Offered personalized academic support and conducted consistent evaluations of student work for fair assessment.

Research Intern

Quantitative Imaging Laboratory, University of Houston

• Analyzed scene properties in the presence of real-world anomalies in CCTV videos.
• Developed a probabilistic model for anomaly detection in videos based on object cooccurrence in a scene.

Research Intern

Quantitative Imaging Laboratory, University of Houston

• Collaborated with a team of researchers at the Quantitative Imaging Laboratory on a systematic review of anomaly detection approaches in CCTV videos.

Reviewer

Computers in Biology and Medicine

Critically evaluated and provided constructive feedback on submitted manuscripts.

Volunteer

The Beacon organization

Facilitated the laundry duty by washing, drying, and folding donated clothes to provide the homeless community with clean and warm garments.

Doctor of Philosophy (Ph.D.)

University of Houston

Computer Science

• Computer Vision
• Digital Image Processing
• Machine Learning

SPIE Medical Imaging Conference scholarship

SPIE

The SPIE and the Symposium and Conference Chairs of SPIE Medical Imaging awarded this scholarship to present my paper titled '3D rendering and analysis of dermal backflow as an early indicator of cancer-acquired lymphedema using RGB-D and Near-infrared fluorescence lymphatic imaging'.

Graduate Tuition Fellowship

University of Houston

Grace Hopper Celebration scholarship

AnitaB.org

Empowering women and championing diversity in STEM related fields.

Grace Hopper Celebration scholarship

AnitaB.org

Empowering women and championing diversity in STEM related fields.

TAPIA conference scholarship

CMD-IT|ACM

The Tapia conference is the premier venue to acknowledge, promote and celebrate diversity in computing.

Grad Cohort scholarship

Computing Research Association (CRA)

3D rendering and analysis of dermal backflow as an early indicator of cancer-acquired lymphedema using RGB-D and near-infrared fluorescence lymphatic imaging

SPIE

Using Near-Infrared Fluorescence (NIRF) lymphatic imaging, indicates that dermal backflow, the retrograde flow of lymphatic fluid from collecting lymphatic vessels into the lymphatic capillaries, is predictive of cancer-related lymphedema.