Aiyesha
PhD
(She/Her)
Making data useful
Currently
I'm simplifying life for both clothing consumers and designers, by using data and visualization techniques to design, produce, and optimize the fit of clothing.
Past Projects
In the context of regular jobs, I've worked as a Data Scientist and Data Engineer on problems around clothing (recommendations, inventory, returns), application infrastructure monitoring, and workload security. (See LinkedIn for a more complete list.)I've also worked on some side projects and things that didn't make it to full startups.
Publications
Research publications from graduate school in the areas of machine learning, image segmentation, and image retrieval.
Other Interests
I'm not always hiding behind a computer screen. I enjoy exploring new places, outdoor activities, crafty projects, and reading fantasy books.
Past Projects
(2012, 2014) Developed a browser based app for developing charted knitting patterns.(2012) Revolution eLearning. Developed participant gaze and posture detection for webinars with aggregated 'attention' graph for the lecturer. NSF SBIR Phase I grant(2012) Logibate. A site for evidence based logical arguments. Developed with friends.(2011) Started webapp for time based project planning, with conditional constraints around order of activities.
Publications
Journal Article
Aiyesha Ma, Ishwar K. Sethi, and Nilesh Patel. “Multi-label Classification Method for Multimedia Tagging”. In: International Journal of Multimedia Data Engineering and Management (IJMDEM) 1. 3 (2010), pp. 57–75. DOI: 10.4018/jmdem.2010070104
Dissertation and Thesis
Aiyesha Ma. “An Induction Method for Multilabel Decision Trees with Application to Multimedia Tagging and Other Problems”. Doctor of Philosophy in Systems Engineering. PhD thesis. Rochester, MI: Oakland University, 2010. (pdf - color version)
Aiyesha Ma. “Indexing and Retrieval of Satellite Imaging”. Master of Science in Computer Science and Engineering. MA thesis. Rochester, MI: Oakland University, 2005. (pdf - printed version)
Conference Papers
Aiyesha Ma and Ishwar K. Sethi. “Iterative Split Adjustment for Building Multilabel Decision Trees”. In: Proceedings of the ISCA 2nd International Conference on Bioinformatics and Computational Biology, BICoB-2010. (Sheraton Waikiki Hotel, Honolulu, Hawaii, USA, Mar. 24–26, 2010). Ed. by Hisham Al-Mubaid. ISCA, 2010, pp. 13–18. ISBN: 978-1-880843-76-5
Aiyesha Ma, Ishwar K. Sethi, and Nilesh Patel. “Multimedia Content Tagging using Multilabel Decision Tree”. In: Proceedings of the 5th IEEE International Workshop on Multimedia Information Processing and Retrieval. (San Diego, California, USA, Dec. 14–16, 2009). IEEE Computer Society, 2009, pp. 606–611. ISBN: 978-1-4244-5231-6. DOI: 10.1109/ISM.2009.87
Aiyesha Ma and Ishwar K. Sethi. “Distributed K-Median Clustering with Application to Image Clustering”. In: Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems, PRIS 2007, In conjunction with ICEIS 2007. (Funchal, Madeira, Portugal, June 2007). Ed. by Ana L. N. Fred and Anil K. Jain. INSTICC PRESS, 2007, pp. 215–220. ISBN: 978-972-8865-93-1
Aiyesha Ma and Ishwar K. Sethi. “Region Based Image Clustering using Distributed K-Median Clustering”. In: International Conference on Distributed Multimedia Systems. (Redwood City). Sept. 2007.
Aiyesha Ma, Nilesh Patel, Mingkun Li, and Ishwar K. Sethi. “Confidence Based Active Learning for Whole Object Segmentation”. In: International Workshop on Multimedia Content Representation, Classification and Security, MRCS 2006. (Istanbul, Turkey, Sept. 11–13, 2006). Ed. by Bilge G–nsel et al. Vol. 4105. Lecture Notes in Computer Science. Springer, 2006, pp. 753–760. ISBN: 3-540-39392-7. DOI: 10.1007/11848035_99
Nilesh Patel, Aiyesha Ma, Rajal Shah, and Ishwar K. Sethi “Chroma analysis for quantitative immunohistochemistry using active learning”. In: SPIE Symposium on Medical Imaging - Image Processing. (San Diego, CA). SPIE, Feb. 2006, pp. 614448–614448–9. DOI: 10.1117/12.653541
Aiyesha Ma and Ishwar K. Sethi. “Local Shape Association Based Retrieval of Infrared Satellite Images”. In: IEEE International Workshop on Multimedia Information Processing and Retrieval. (Irvine, CA, USA, Dec. 12–14, 2005). IEEE Computer Society, 2005, pp. 551–557. ISBN: 0-7695-2489-3. DOI: 10.1109/ISM.2005.75.
Aiyesha Ma, Ishwar K. Sethi, Mark H. Schwartz, and U. Scott Page. “Using Multiple Classifiers to Improve Classification of Post-Operative Complications in Cardiac Surgery”. In: Medinfo 2004: Proceedings Of The 11th World Congress On Medical Informatics. (San Francisco, CA). Ed. by Marius Fieschi, Enrico Coiera, and Yu-Chan Jack Li. IOS Press, Sept. 2004, pp. 4238–4238.
Rishi Mukhopadhyay, Aiyesha Ma, and Ishwar K. Sethi. “Pathfinder Networks for Content Based Image Retrieval Based on Automated Shape Feature Discovery”. In: 6th IEEE Intl. Symposium on Multimedia Software Engineering (ISMSE 2004). (Miami, Florida). December. IEEE, 2004, pp. 522–528. ISBN: 0-7695-2217-3. DOI: 10.1109/MMSE.2004.61.
Aiyesha Ma, Rishi Mukhopadhyay, and Ishwar K. Sethi. “Hausdorff Metric Based Vector Quantization of Binary Images”. In: IKE. (Las Vegas, Nevada, USA, July 23–26, 2003). Ed. by Hamid R. Arabnia. Vol. 1. CSREA Press, 2003, pp. 315–320. ISBN: 1-932415-07-6.
Presentations and Posters
Aiyesha Ma. A Production Line System for Automated Analysis of Raw DNA Sequencing Data. Computer Science and Engineering Department Seminar (Oakland University, Rochester, MI, Jan. 31, 2007). Presentation.
Aiyesha Ma. The Trace Analysis Project: Automated analysis of raw trace data. Department of Energy's Joint Genome Institute, Production Genomics Facility. (Walnut Creek, CA, Dec. 5, 2006). Seminar.
Aiyesha Ma. Shape Retrieval for Infrared Satellite Images using Local Association Hashing. Student Poster Competition, Michigan Space Grant Consortium Conference (Ann Arbor, MI, Oct. 22, 2005). Poster Presentation.
Aiyesha Ma. Shape-Based Retrieval System For Infrared Satellite Images. School of Engineering and Computer Science Research Day, Oakland University (Rochester, MI, Oct. 8, 2004). Poster.
Aiyesha Ma. Using Multiple Classifiers to Improve Classification of Post-Operative Complications in Cardiac Surgery. School of Engineering and Computer Science Research Day, Oakland University (Rochester, MI, Oct. 8, 2004). Poster.
Activities and Hobbies
Even though I am afraid of the sun, I like to be outdoors. Skiing, hiking, backpacking, kayaking, and even occasionally running.
When I'm not traveling, or planning my next hiking or skiing trip, I am sometimes costuming, doing some form of needlework, drawing, or frequently reading.
