Biography
Professor Ibrahim Sabek is an Assistant Professor in the Thomas Lord Department of Computer Science at University of Southern California. Before that, he was a Postdoctoral Associate at the MIT CSAIL Data Systems Group and an NSF/CRA Computing Innovation Fellow from 2020 to 2023. He completed his PhD in Computer Science from University of Minnesota, Twin Cities in January 2020. His PhD work received the University-wide Best Doctoral Dissertation Honorable Mention Award.
Are you passionate about pushing the boundaries of machine learning and data management? Do you dream of developing cutting-edge systems for data processing and analysis? If so, we invite you to explore the exciting PhD opportunity available at the Department of Computer Science, Viterbi School of Engineering, University of Southern California, under the guidance of Dr. Ibrahim Sabek, an esteemed assistant professor in the field.
Dr. Ibrahim Sabek's Research Focus:
Dr. Ibrahim Sabek is a leading authority in the realm of data science and machine learning. His research centers on building the next generation of data management, processing, and analysis systems, leveraging the power of machine learning to revolutionize the way we handle and derive insights from vast and complex datasets. Dr. Sabek's work encompasses a wide range of applications, including but not limited to:
- Big Data Analytics: Dr. Sabek's research delves into the development of novel algorithms and techniques for extracting meaningful insights from massive datasets. His work is at the forefront of the big data revolution, addressing the challenges of scalability, efficiency, and accuracy.
- Machine Learning Empowered Data Processing: Dr. Sabek is a pioneer in the integration of machine learning into data processing pipelines. His research explores how machine learning can optimize data workflows, automate repetitive tasks, and enhance the accuracy of data processing systems.
- Natural Language Processing (NLP): Dr. Sabek's interest extends to NLP applications, where he investigates advanced methods for text analysis, sentiment analysis, and language understanding. This research has wide-ranging implications for fields like social media analytics, customer feedback analysis, and content recommendation.
- Distributed Systems: Distributed systems are a critical component of modern computing infrastructure. Dr. Sabek's research in this area focuses on developing scalable and fault-tolerant distributed systems that can handle the demands of data-intensive applications.
Research Summary
Ibrahim is interested in building the next generation of machine learning-empowered data management, processing, and analysis systems. His research focuses on deeply understanding both machine learning and systems techniques, resulting in entirely new designs, algorithms, and data structures for data-intensive systems and applications. He also broadly researches data management for machine learning systems, scalable knowledge base construction, big spatial data management and analysis, video analytics, and causal analysis.
Education
2020, Doctoral Degree, Computer Science, University of Minnesota
2018, Master's Degree, Computer Science, University of Minnesota
2014, Master's Degree, Computer and Systems Engineering, Alexandria University
2010, Bachelor's Degree, Computer and Systems Engineering, Alexandria University
Awards
2021 University of Minnesota Best Doctoral Dissertation Honorable Mention Award
2020 NSF/CRA Computing Innovation Fellowship
2019 University of Minnesota Doctoral Dissertation Fellowship
2019 ACM SIGSPATIAL First Place (Gold Medal) in ACM SIGSPATIAL Student Research Competition
2018 ACM SIGSPATIAL Best Paper Runner-Up
2016 University of Minnesota CS Academic Excellence Fellowship
2010 Alexandria University Best CS Bachelor’s Thesis
Application Process:
To apply for this exciting PhD opportunity, please visit the Department of Computer Science's official website at USC or contact him directly at (213) 821-2292 or his email and follow the application instructions. Be sure to express your interest in Prof. Dr. Ibrahim Sabek's research group in your application.
Embark on a transformative academic journey at the Viterbi School of Engineering, University of Southern California, and work alongside Prof. Dr. Ibrahim Sabek to shape the future of machine learning-powered data management, processing, and analysis systems. Your contributions to this dynamic field could have a lasting impact on industries ranging from healthcare to finance, from entertainment to scientific research. Join us in pushing the boundaries of what's possible in the world of data science and machine learning. Your future begins here.
You can reach out to Prof. Dr. Ibrahim through his personal website and check out his publications. You can find the call to application link below.
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