Rada Chirkova
Bio
Director, NCSU CSC Laboratory for the Science of Technologies for End-to-End Enablement of Data (STEED)
Director, NCSU site of the NSF I/UCRC Center for Accelerated Real Time Analytics (CARTA), 2018-2024
Press release for CARTA – NCSU Department of Computer Science, May 17, 2018
Director, NCSU site of the NSF I/UCRC Center for Hybrid Multicore Productivity Research (CHMPR), 2016-2019
Current Ph.D. students:
- Nahed Abu Zaid
- Ezio Mei
Past students:
- Kara Schatz, Ph.D., August 2024
- Pei-Yu Hou, Ph.D., May 2023
- Jing Ao, Ph.D., December 2022
- Daniel Korn (UNC_CH), Ph.D., October 2022
- Ran Tan, MCS, December 2019
- Ling Chen (coadvised with Ting Yu), Ph.D., December 2016
- Farid Alborzi (coadvised with Jon Doyle and Yahya Fathi), M.Sc., December 2016
- Pallavi Deo (coadvised with Christopher Healey), M.Sc., May 2016
- Rong Huang (coadvised with Yahya Fathi), Ph.D., May 2013
- Keerthana Boloor (coadvised with Yannis Viniotis), Ph.D., May 2012
- Zohreh Asgharzadeh Talebi (coadvised with Yahya Fathi), Ph.D., May 2010
- Manik Chandrachud (coadvised with Prasenjit Mitra), Ph.D., December 2009
- Maxim Kormilitsin (coadvised with Yahya Fathi and Matthias Stallmann), Ph.D., December 2009
- Dongfeng Chen (coadvised with Fereidoon Sadri), Ph.D., September 2008
- Gang Gou, Ph.D., August 2008
- Ahmet Soydan Bilgin (coadvised with Munindar Singh), Ph.D., December 2007
- Mike Martin, Ph.D., May 2007
- Kashinath Dev, M.Sc., October 2005
- Shalu Gupta, M.Sc., July 2005
- Kyoung-Hwa Kim, M.Sc., January 2005
- Pooja Kohli, M.Sc., December 2004
- Ashish Shah, M.Sc., May 2004
TEACHING
Spring-26 office hours: tentatively Mondays 5pm-6pm and Wednesdays 12:30pm-1:30pm
Courses: Spring-26 CSC 540 Database Management Concepts and Systems (graduate level).
Education
Ph.D. Computer Science Stanford University 2002
Area(s) of Expertise
Algorithms and Theory of Computation
Data Sciences and Analytics
Health Care Information Technology
Information and Knowledge Management
Publications
- GAME+: lossless knowledge-graph compression for improving the efficiency and effectiveness of rule mining , International Journal of Data Science and Analytics (2025)
- Retrieving unusual temporal trends effectively and efficiently with trend surfing , International Journal of Data Science and Analytics (2025)
- Towards Improving the Efficiency of Drug Repurposing by Leveraging Node Promiscuity in Biomedical Knowledge Graphs , ACM Transactions on Computing for Healthcare (2024)
- Acoustic correlates of prominence in Kala Lizu (Tibeto-Burman) , Journal of Chinese linguistics (2023)
- Theory and Practice of Relational-to-RDF Temporal Data Exchange and Query Answering , Journal of Data and Information Quality (2023)
- Compact Walks: Taming Knowledge-Graph Embeddings with Domain- and Task-Specific Pathways , Proceedings of the 2022 International Conference on Management of Data (2022)
- Defining clinical outcome pathways , Drug Discovery Today (2022)
- COVID-19 Knowledge Extractor (COKE): A Curated Repository of Drug–Target Associations Extracted from the CORD-19 Corpus of Scientific Publications on COVID-19 , Journal of Chemical Information and Modeling (2021)
- Ensuring Data Readiness for Quality Requirements with Help from Procedure Reuse , Journal of Data and Information Quality (2021)
- Explaining Drug-Discovery Hypotheses Using Knowledge-Graph Patterns , 2021 IEEE International Conference on Big Data (Big Data) (2021)
Grants
The Science and Technologies for Phosphorus Sustainability (STEPS) Center is a convergence research hub for addressing the fundamental challenges associated with phosphorus sustainability. The vision of STEPS is to develop new scientific and technological solutions to regulating, recovering and reusing phosphorus that can readily be adopted by society through fundamental research conducted by a broad, highly interdisciplinary team. Key outcomes include new atomic-level knowledge of phosphorus interactions with engineered and natural materials, new understanding of phosphorus mobility at industrial, farm, and landscape scales, and prioritization of best management practices and strategies drawn from diverse stakeholder perspectives. Ultimately, STEPS will provide new scientific understanding, enabling new technologies, and transformative improvements in phosphorus sustainability.
One of the main barriers to progress in Machine-Learning (ML) for Electronic Design Automation (EDA) is the lack of data-sets. This project seeks to promote the sharing of proprietary data in collaborative databases by experimentally quantifying the privacy of distributed learning on an integrated circuit design application. This project will (1) set up a distributed database with an ML-EDA application, (2) show that deterministic privacy when granting access can be guaranteed by an approach called View-Verified Data Exchange, and (3) show that differential privacy in Federated Learning can be guaranteed by a model-poisoning defense.
Led by Nat Moorman, Ph.D., an associate professor in UNC-Chapel Hill������������������s Department of Microbiology and Immunology, the group of researchers seeks to create a broad spectrum of antiviral drugs that would be effective against entire families of viruses that cause epidemics and pandemics. These new drugs would treat infected individuals between the time a virus emerges until vaccination development to prevent health care systems from being overwhelmed and help maintain economic stability.
CARTA Full Membership
Real-time analytics is the leading edge of a smart data revolution, pushed by Internet advances in sensor hardware on one side, and AI/ML streaming acceleration on the other. We propose creation of a Center of Accelerated Real Time Analytics (CARTA) to explore the realm streaming applications of analytics. This center will be lead by University of Maryland, Baltimore County with partners from NCSU, Rutgers, and other affiliated universities. The proposed center will work with next generation hardware technologies, like the IBM Minsky with on board GPU accelerated processors and Flash RAM, a Smart Cyber Physical Sensor Systems to build Cognitive Analytics systems and Active storage devices for real time analytics. This will lead to the automated ingestion and simultaneous analytics of Big Datasets generated in various domains including Cyberspace, Healthcare, Internet of Things (IoT) and the Scientific arena, and the creation of self learning, self correcting ����������������smart��������������� systems. At the core of these technologies are the techniques of data wrangling that enable this end-to-end real-time data processing and the infrastructure of the next generation of high-performance analytics systems.
Membership in the Center for Real Time Analytics (CARTA), Full Member
CARTA full Membership
CARTA Full Membership
LAS DO1 Chirkova - 3.3 Computational Social Science
One of the greatest challenges in the rare disease domain is access to trusted, verified data. With advances in mapping the human genome, over 7000 rare diseases have been identified. However no integrated, comprehensive patient registries exist that reliably collect data on these patients and their conditions and would allow for queries such as outcomes and economic impact. This planning grant will concentrate on building a large data system that can be accessed by a large collaborative community of those in the rare disease space, including state and federal agencies, clinicians, investigators, patient advocacy groups, industry and SPOKE: South.
Groups
Honors and Awards
- Senior Member, Association for Computing Machinery (ACM) - 2012
- IBM Faculty Award - 2007, 2010, 1011, 2012, 2014
- IBM University Partnership Program Awards - 2003, 2004, 2007
- National Science Foundation Faculty Early CAREER Award - 2005
- Faculty Research and Professional Development Award (NCSU), 2003