أعضاء هيئة التدريس
كيفين ايسوفاج
باحث مساعد
معهد قطر لبحوث الحوسبة
- البريد الإلكترونيKeisufaj@hbku.edu.qa
السيرة الذاتية
Keivin Isufaj is a Research Assistant at QCRI, focusing on Machine Learning, Traffic Data Analytics, and Bioinformatics. He holds a Computer Science degree with a Minor in Mathematical Sciences from Carnegie Mellon University. Keivin's experience includes managing and developing frameworks and systems in diverse projects. He has contributed to areas such as traffic trajectory imputation, data visualization, and oral lesion detection. Additionally, Keivin has applied Machine Learning and AI to metabolomic and genomic data to model and predict Coronary Heart Disease and Type 2 Diabetes in Middle Eastern cohorts.
الاهتمامات البحثية
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Bioinformatics – Leveraged computational techniques to employ genetic and metabolomic data as integral components that assist in complex diseases such as coronary heart disease and type 2 diabetes.
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Trajectory Data Imputation – Used spatial and temporal crowd metadata to enrich sparse trajectories with accurate intermediate samples that mimic real world trajectory patterns.
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Data Visualization – Deployed platforms that break down systematic approaches to simplify, analyze and visualize genetic information.
الخبرات
Research Assistant
QCRI, HBKU
2021 - Presentالمؤهلات العلمية
Computer Science
Carnegie Mellon University
2021
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