Ajay Anand

Ajay Anand is a Professor of Data Science and Deputy Director of the Goergen Institute for Data Science and Artificial Intelligence. He oversees data science education programs, industry collaboration through capstone courses, and curriculum development. His 12+ years of industry experience at Carestream Health and Philips Research focused on medical ultrasound and biomedical signal processing, resulting in over 40 patents and 35+ publications.

Education:

• PhD and MS in Electrical Engineering, University of Washington
• MS in Biomedical Engineering, University of Texas

Research interests span machine learning applications in healthcare, biomedical signal processing, and predictive modeling. His work bridges theoretical data science with clinical challenges, emphasizing time-series analysis and ultrasound-based diagnostics.

Recent publications highlight innovation in AI-driven healthcare analytics (e.g., symptom clustering in oncology patients) and medical imaging technologies like ultrasonic thermometry for thermal ablation monitoring. He also explores public health trends through social media analysis, such as pandemic-related mental health and vaccine sentiment.

No scientific awards explicitly mentioned.

Advising and grants: No formal student advisees listed, though he oversees collaborative industry projects. No grant details provided.

Labs/Teams: Leads the Goergen Institute’s data science education initiatives and collaborates with external organizations in capstone projects.