ANA STANESCU

Associate Professor of Computer Science

Department of Computing and Mathematics
University of West Georgia
astanesc at westga dot edu
orcid.org/0000-0002-7760-3788

Education

Postdoctoral Research Fellow, Icahn Institute of Genomics and Multiscale Biology at the Icahn School of Medicine at Mount Sinai New York, NY
Ph.D., Computer Science, Kansas State University, Manhattan, KS
M.S., Computer Science - Secure Software Systems, James Madison University, Harrisonburg, VA
B.S., Economic Informatics - Managerial Informatics, Romanian-American University, Bucharest, Romania

Research Interests

My general research focus is on artificial intelligence, machine learning, data science.
Research topics that I'm working on, or have worked on, include:

computational biology
geospatial big data
bioinformatics
recommender systems
domain adaptation

Publications

Journal articles and conference proceedings

Mautusi Mitra and Ana Stanescu – Complete genome sequence Microbacterium sp. strin Clip185
In: American Society for Microbiology Journals/Microbiology Resource Announcements (ASM MRA 2025) [link]
Steven Benzel, Ana Stanescu, Ping Ye – SOTU: A Motivational Example for Data Science Courses
In: The Annual ACM Southeast Conference (ACM-SE 2024) Marietta, GA [link]
Mautusi Mitra and Ana Stanescu – Complete genome sequence of Acidovorax temperans strain LMJ isolated from a contaminated Chlamydomonas reinhardtii Tris-Acetate-Phosphate medium culture plate
In: American Society for Microbiology Journals/Microbiology Resource Announcements (ASM MRA 2024) [link]
Solveig K. Sieberts, Henryk Borzymowski, Yuanfang Guan, [12 authors], Ana Stanescu, [3 authors], the BEAT-PD DREAM Challenge Consortium et al. – Developing better digital health measures of Parkinson’s disease using free living data and a crowdsourced data analysis challenge
In: PLOS Digital Health (2023) [link]
Jeong Seong, Yunsik Kim, Hyewon Goh, Hyunmin Kim, and Ana Stanescu – Measuring Traffic Congestion with Novel Metrics: A Case Study of Six U.S. Metropolitan Areas
In: International Society for Photogrammetry and Remote Sensing - International Journal of Geo-Information: Vol. 12, Issue 3, Article 130 (ISPRS IJGI 2023) [link]
Jeong Chang Seong, Chul Sue Hwang, Ana Stanescu, Youngho Lee, Yubin Lee – What Geographers Research: An Analysis of Geography Topics, Clusters, and Trends Using a Keyword Network Analysis Approach and the 2000-2019 AAG Conference Presentations
In: International Journal of Geospatial and Environmental Research: Vol. 9, No. 1, Article 1. (IJGER 2022) [link]
Youngho Lee, Yubin Lee, Jeong Chang Seong, Ana Stanescu, Chul Sue Hwang – A Comparison of Network Clustering Algorithms in Keyword Network Analysis: A Case Study with Geography Conference Presentations
In: International Journal of Geospatial and Environmental Research: Vol. 7, No. 3, Article 1. (IJGER 2020) [link]
Steven Benzel, Ana Stanescu – Histogram methods for unsupervised clustering.
In: The Annual ACM Southeast Conference (ACM-SE 2020) Tampa, FL [link]
Jonathan Corley, Ana Stanescu, Lewis Baumstark, Michael Orsega – Paper Or IDE? The Impact of Exam Format on Student Performance in a CS1 Course.
In: The 51st ACM Technical Symposium on Computer Science Education Proceedings (ACM SIGCSE 2020) Portland, OR [link]
Youngho Lee, Yubin Lee, Ana Stanescu, Jeong Chang Seong – Summarizing the 2019 AAG Conference Presentations Using Keyword Network Analysis.
In: The 74th Annual Meeting of the Southeastern Division of the American Association of Geographers (SEDAAG 2019) Wilmington, NC [poster]
Fourati S, Talla A, Mahmoudian M, Burkhart JG, Klen R, (10 authors), Ana Stanescu, Vogel R, The Respiratory Viral DREAM Challenge Consortium, Pandey G, (6 authors), Mangravite LM, Sieberts SK. – A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection.
In: Nature Communications (9:4418) [October 2018].
Ana Stanescu and Gaurav Pandey – Integrating heterogeneous predictive models using Reinforcement Learning.
In: The 26th International Conference on Intelligent Systems for Molecular Biology - Machine Learning in Computational and Systems Biology (MLCSB) Track (ISMB 2018), Chicago, IL [poster and talk. Acceptance rate 12%] NIH BD2K Young Investigators Award
Ana Stanescu, Mehmet Eren Ahsen, Robert Vogel, Gustavo Stolovitzky, Solveig K. Sieberts, and Gaurav Pandey – Crowdsourced ensembles for the DREAM Respiratory Viral (RV) Challenge.
In: RECOMB/ISCB Conference on Regulatory and Systems Genomics with DREAM Challenges (RECOMB/ISCB RSG DREAM 2017) New York, NY [poster]
Ana Stanescu and Doina Caragea – An empirical study of self-training and data balancing techniques for splice site prediction.
In: International Journal of Bioinformatics Research and Application (IJBRA 2017, Vol. 13, No. 1, pages 40-61) [link]
Ana Stanescu and Gaurav Pandey – Learning parsimonious ensembles for unbalanced computational genomics problems.
In: Pacific Symposium on Biocomputing (PSB 2017) Kohala Coast, Big Island, HI [link] [code]
Ana Stanescu and Gaurav Pandey – Learning parsimonious ensembles for biomedical prediction problems and DREAM challenges.
In: RECOMB/ISCB Conference on Regulatory and Systems Genomics with DREAM Challenges and Cytoscape Workshop (RECOMB/ISCB RSG DREAM 2016) Phoenix, AZ [poster]
Ana Stanescu, Karthik Tangirala, and Doina Caragea – Study of transductive learning and unsupervised feature construction methods for biological sequence classification.
In: Proceedings of the International Symposium on Network Enabled Health Informatics, Biomedicine and Bioinformatics, part of
The 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016) San Francisco, CA [Regular paper. Acceptance rate 30%] [link] Best Paper Award
Ana Stanescu, Karthik Tangirala, and Doina Caragea – Predicting Alternatively Spliced Exons Using Semi-supervised Learning.
In: International Journal of Data Mining and Bioinformatics (IJDMB 2016, Vol. 14, No. 1, pages 1-21) [link]
Ana Stanescu and Doina Caragea – An Empirical Study of Ensemble-based Semi-supervised Learning Approaches for Imbalanced Splice Site Datasets.
In: BMC Systems Biology, 2015[link] Invited Article
Ana Stanescu and Doina Caragea – Predicting Cassette Exons Using Transductive Learning Approaches.
In: Proceedings of the 12th Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2015), Niagara Falls, Canada [Regular paper. Acceptance rate TBA] [link]
Ana Stanescu and Doina Caragea – Ensemble-based Semi-supervised Learning Approaches for Imbalanced Splice Site Datasets.
In: Proceedings of the 6th IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2014), Belfast, United Kingdom [Regular paper. Acceptance rate 19%] [link]
Ana Stanescu and Doina Caragea – Semi-supervised Self-training Approaches for Imbalanced Splice Site Datasets.
In: Proceedings of the 6th International Conference on Bioinformatics and Computational Biology (BICoB 2014), Las Vegas, NV [Regular paper] [link]
Ana Stanescu, Swapnil Nagar and Doina Caragea – A Hybrid Recommender System: User Profiling from Keywords and Ratings.
In: Proceedings of the 2013 IEEE/WIC/ACM International Conference on Web Intelligence (IEEE WI 2013), Atlanta, GA [Regular paper. Acceptance rate 25%] [link]
Srilaxmi Cheeti, Ana Stanescu, Doina Caragea – Cross-Domain Sentiment Classification Using an Adapted Naive Bayes Approach and Features Derived From Syntax Trees.
In: Proceeding of the 5th International Conference on Knowledge Discovery and Information Retrieval (KDIR 2013), Vilamoura, Portugal (SciTePress Digital Library 2013) [Short paper. Acceptance rate 39%] [link]
Ana Stanescu and Doina Caragea – Semi-supervised Learning of Alternatively Spliced Exons Using Expectation Maximization Type Approaches.
In: Proceedings of the 3rd International Conference on Bioinformatics Models, Methods and Algorithms (BIOINFORMATICS 2012), Vilamoura, Algarve, Portugal (SciTePress Digital Library 2012) [Short paper. Acceptance rate: 37%] [link]
Ana Stanescu and Doina Caragea – Semi-supervised learning of alternatively spliced exons.
In: Proceedings of the 2011 Regional ACM/MINK-WIC Conference, October 7-8, 2011, Kansas City, MO Winning Poster

Other publications, presentations, talks, posters

Mautusi Mitra and Ana Stanescu – Complete genome sequence of a novel Microbacterium sp. strain Clip185. [KBase Narrative]
In: Department of Energy Systems Biology Knowledgebase (DOE KBase November, 2024) [https://doi.org/10.25982/193023.110/2479104]
Mautusi Mitra and Ana Stanescu – Complete Genome Sequence of Acidovorax temperans strain LMJ from a contaminated Chlamydomonas reinhardtii culture plate. [KBase Narrative]
In: Department of Energy Systems Biology Knowledgebase (DOE KBase December, 2023) [https://doi.org/10.25982/161632.357/2228677]
Mautusi Mitra and Ana Stanescu – Microbacterium sp. Clip185 chromosome [complete genome]
In: National Center for Biotechnology Information (NCBI 2023)
Mautusi Mitra and Ana Stanescu – Acidovorax temperans strain LMJ chromosome [complete genome]
In: National Center for Biotechnology Information (NCBI 2023)
Mautusi Mitra and Ana Stanescu – Sphingobium yanoikuyae strain CC4533 chromosome [complete genome]
In: National Center for Biotechnology Information (NCBI 2023)
Jeong Seong, Yunsik Kim, Hyewon Goh, and Ana Stanescu – Development of a Traffic Congestion Index from Spatiotemporal Big Data for Urban Transportation Research and Applications
In: The AAG Annual Meeting (AAG 2023) [slides upon request]
Yunsik Kim, Jeong Seong, Hyewon Goh, and Ana Stanescu – Modeling the Probabilities of Vehicle Crashes Using Machine Learning Methods with Congestion Amounts and Spatiotemporal Features at Montgomery County, Maryland
In: The AAG Annual Meeting (AAG 2023) [slides upon request]
Hyewon Goh, Jeong Seong, Yunsik Kim, and Ana Stanescu – Does Traffic Congestion Increase Vehicle Crashes? A Regional Scale Study with a Novel Congestion Index and Machine Learning Methods
In: The AAG Annual Meeting (AAG 2023) [slides upon request]
Mautusi Mitra, Ana Stanescu, Kevin Nguyen, Taylor Berry – Whole genome sequencing of a novel bacterial strain isolated from a contaminated green micro algal culture plate provides insight into its metabolome involved in heavy metal tolerance and xenobiotic biodegradation.
In: International Seminar on Plants and Microbes: Health & Food (ISPM, 2022)
Ana Stanescu, Jeong Chang Seong, Yubin Lee, and Chul Sue Hwang – A Picture of Geography Revealed by a Keyword Network Analysis of the 2020 AAG Conference.
In: Journal of the Korean Geographical Society, Vol. 56, No. 3, pages 177-187 (JKGS 2022) [article]
Seorim Cho, Hyeokjin Hong, Hyunmin Kim, Jeong Chang Seong, Ana Stanescu, Chul Sue Hwang – Detecting Water Quality Changes by Landsat 8 OLI: A Case Study of Taedong River, North Korea
In: The AAG Annual Meeting (AAG 2022) [program, poster]
Hyeokjin Hong, Hyunmin Kim, Seorim Cho, Jeong Chang Seong, Ana Stanescu, Chul Sue Hwang – Traffic Big-data Analysis with Google Maps: Atlanta, Georgia, 2021
In: 76th Annual Meeting of the Southeastern Division of the American Association of Geographers (SEDAAG 2021) Florence, AL [program]
Sanghoon Ji, Jeong Chang Seong, Ana Stanescu, Chul Sue Hwang, Yubin Lee – Construction of spatio-temporal data and analysis of congestion patterns using real-time traffic information from Google - Case of Montgomery County, Maryland, USA
In: Journal of the Korean Geographical Society, Vol. 56, No. 3, pages 265 - 276 (2021)
Sanghoon Ji, Jeong Chang Seong, Yubin Lee, Ana Stanescu, Chul Sue Hwang – Rush Hour Crashes and Speeding Analysis with Traffic Big Data
In: Sustainable Development & The Future, US-Korea Conference (UKC 2020) [link]
Yubin Lee, Youngho Lee, Jeong Chang Seong, Ana Stanescu, Taegun Hwang, Chul Sue Hwang – Analysis of GIS Research Trends in the U.S. with AAG Conference Presentations from 2000-2019.
In: The Geographical Journal of Korea, Vol. 53, No. 4, pages 495-508. (GJK 2020)
Jeong Chang Seong, Sanghoon Ji, Ana Stanescu, Yubin Lee, and Chul Sue Hwang – What will be Presented at the 2021 AAG Meeting?
In: The American Association of Geographers Newsletter, April 2, 2021 [link]
Jeong Chang Seong, Chul Sue Hwang, Ana Stanescu, Yubin Lee, and Youngho Lee – What will be presented at the 2020 AAG Meeting?
In: The American Association of Geographers Newsletter, February 25, 2020 [DOI: 10.14433/2017.0068]
Adel Abunawass, Ana Stanescu (co-presenter), Alexandra Young, and Edwin Rudolph – It Taketh a Village: Social Equity and Educational Access in Higher Ed.
In: Conference on Meaningful Living in a Digital World - Savannah, GA, February 2-4, 2019
Ana Stanescu, Ramon A. Mata-Toledo, and Pranshu Gupta – Machine Learning.
In: AccessScience. McGraw-Hill Education, 2018 [link]
Pranshu Gupta, Ana Stanescu, and Ramon A. Mata-Toledo – Internet of Things.
In: AccessScience. McGraw-Hill Education, 2018 [link]
Ana Stanescu – XML (Extensible Markup Language).
In: AccessScience. McGraw-Hill Education Yearbook of Science & Technology, 2015 [link]
Ana Stanescu, Doina Caragea, and Susan Brown – Semi-supervised learning approaches for biological sequences.
In: ACM/CRA-W Grad Cohort Workshop, April 1-2, 2011, Boston, MA [poster]

DBLP Bibliography

Page last modified: March 01, 2025.

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