Saeed Amal

Assistant Research Professor at Northeastern University.

Amal was a Postdoctoral Fellow at the Stanford University School of Medicine where he focused on the applications of artificial intelligence to improve healthcare, specifically care for cardiovascular disease. He received his PhD and MSc degree in Computer Science from the University of Haifa and a BSc degree in Computer Science from Technion. Amal has vast leadership experience in applied research from the tech industry and is a former VP of an R&D data medical startup in the field of cardiology. His research interests are the healthcare applications for artificial intelligence, including deep learning and machine learning, natural language processing (NLP), image processing, and recommender systems.

Publications

Co-first author on – Ghanzouri, I., Amal, S., Ho, V., Safarnejad, L., Cabot, J., Brown-Johnson, C. G., … & Ross, E. G. (2022)

Performance and usability testing of an automated tool for detection of peripheral artery disease using electronic health records. Scientific reports, 12(1), 1-11.

Amal, S., Safarnejad, L., Omiye, J. A., Ghanzouri, I., Cabot, J. H., & Ross, E. G. (2022).

Use of Multi-Modal Data and Machine Learning to Improve Cardiovascular Disease Care. Frontiers in Cardiovascular Medicine, 9.

Amal, S., Minkov, E. and Kuflik T. Person Entity Profiling Framework

Identifying, Integrating and Visualizing Online Freely Available Entity-Related Information. (Preprint Arxiv - InformationSystems in 2021).

Amal, S., Adam M., Brusilovsky, P., Minkov, E. and Kuflik T. Visualizing Entity-Relation Profiles

Evaluation for Scholars. In Review for Proceedings of the ACM Conference: Advanced Visual Interfaces (AVI'20), Ischia, Italy (2020).

Amal, S., Adam M., Brusilovsky, P., Minkov, E. and Kuflik T. Demonstrating Personalized Multifaceted Visualization of People Recommendation to Conference Participants.

In Companion Proceedings of the ACM Conference: the 28th User Modelling, Adaptation and Personalization (UMAP'20), Genoa, Italy. (2020).

Amal, S., Adam M., Tsai, CH., Brusilovsky, P., Minkov, E. and Kuflik T. Enhancing Explainability of Social Recommendation Using 2D Graphs and Word Cloud Visualizations

In Companion Proceedings of the ACM Conference: the 24th ACM Conference on Intelligence User Interfaces (IUI'19), Los-Angeles, USA. Pages 21-22. (2019).

Amal, S., Tsai, CH., Brusilovsky, P., Kuflik T. and Minkov, E. Relational Social Recommendation

Application to the Academic Domain. In Journal of Expert Systems with Applications. Volume 124. Pages 182-195. (2019).

Amal, S., Tsai, CH., Brusilovsky, P., Minkov, E., Kuflik T. Explainable Social Recommendation with Heterogeneous Entity-Based Network

Preliminary Results. In the Proceedings of the ACM IntRS workshop at RecSys Conference: the IntRS at the 12th ACM Conference on Recommender Systems (INTRS'18), Vancouver, Canada (2018).

Amal, S., Kuflik T. and Minkov, E. Harvesting Entity-relation Social Networks from the Web

Potential and Challenges. In the Proceedings of the ACM Conference: the 25th User Modelling, Adaptation and Personalization (UMAP'17), Bratislava, Slovakia. Pages 351-352. (2017).

Experience

Assistant Professor

Northeastern University

2022 - Present

Postdoctoral Fellow

Stanford University

2021-Present

Data Scientist and NLP researcher

Dynamic Yield

2020-2021

Data Scientist and NLP researcher

General Electric ltd.

2019-2020

Data Scientist and NLP researcher

General Motors ltd.

2017-2019

VP R&D

Cardiacx Medical

2017-2019

Software engineer

Attunity Israel Ltd.

2009-2013

Software engineer

Amdocs Israel Ltd.

2005-2009

Education

2021-present
Postdoctoral - Stanford University

Recommender Systems, Deep learning, Machine learning, Information Retrieval, Information Extraction

2013-2019
PhD Haifa University

Machine learning, Information Retrieval, Information Extraction, User Modeling

2006-2009
M.Sc. Computer Science - Haifa University

Information Retrieval

2001-2005
B.Sc. Computer Sience

Technion - Israel Institute of Technology Computer engineering

Interviews

BIO

Saeed Amal (born July 11, 1982) is a computer scientist best known for his work in Artificial Intelligence for the healthcare application, specifically for Precision Medicine for Cardiovascular Disease.

Early life
Saeed Amal was born and raised in 1982 in Haifa. His father, Escander Amal, was the deputy mayor of the city Haifa. Amal attended the Technion where he was included in the dean's honors list during his B.SC and was graduated in 2005. He received his M.SC.in 2009 and his D.Phil. in 2020, both from the University of Haifa in the field of Artificial Intelligence and Natural Language processing.

CONTACT

Email

Email: Saed.amal@gmail.com