Research Interests

I am interested in analysis and visualization of large non-textual data collections, such as electrophysiology recordings, images, and videos. For this, I apply my computer science and mathematics knowledge including data analysis, data mining, machine learning, databases, fusion, and visualization methods to build and analyze such large data sets. My main research projects that I have been involved so far are:

∙ In the Calabrese Lab, I am interested in analyzing computer models for the heartbeat neuronal system of the leech. The target is to find parameter sets that give biologically realistic results for these models. The difficulty in this task comes from the high dimensionality of the parameter spaces we use to model the real biological network. For these parameter search tasks, we use supercomputers to simulate about 10.5 million models that we analyze, and then build a database (HCO-db) of their statistics. Click here to read more about this project.

∙ For my Ph.D. research, I designed and developed a Web-based Adaptive Image Retrieval System (WAIRS), which, based on learning methods, aims at facilitating user search and navigation through very large image collections. The system was built upon my proposed retrieval methods, kernel learning algorithms, fusion schemas, and an interactive multiple views interface for easy user-system interaction.

Selected Publications

The complete list of my publications can be found in my CV (available upon request).

∙ Anca Doloc-Mihu and Ronald L. Calabrese (2014). “Identifying crucial parameter correlations maintaining bursting activity”. Plos Computational Biology. 10(6): e1003678. doi:10. 1371/journal.pcbi.1003678. pdf

∙ Angela Wenning, Brian J. Norris, Anca Doloc-Mihu, Ronald L. Calabrese (2014). “Variation in motor output and motor performance in a centrally generated motor pattern”. Journal of neurophysiology. 112(1):95-109. [link]

∙ Bóris Marin, William H. Barnett, Anca Doloc-Mihu, Ronald L. Calabrese, and Gennady S. Cymbalyuk (2013). “High prevalence of multistability of rest states and bursting in a database of a model neuron”. Plos Computational Biology. 9(3): e1002930. doi:10.1371/journal.pcbi.1002930. pdf

∙ Anca Doloc-Mihu and Ronald L. Calabrese (2011). “A database of computational models of a half-center oscillator for analyzing how neuronal parameters influence network activity”. Journal of Biological Physics. Springer, 37: 263-283. [link]

∙ Anca Doloc-Mihu (2011). “Kernel method for improving image retrieval performance: a survey”. International Journal of Data Mining, Modelling and Management (IJDMMM). Iderscience, 3(1): 42-74, 2011. [link]

∙ Angela Wenning, Brian J. Norris, Anca Doloc-Mihu and Ronald L. Calabrese (2011). “Bringing up the rear: new premotor interneurons add regional complexity to a segmental distributed motor pattern”. Journal of Neurophysiology. 106:2201-2215. pdf

∙ Anca Doloc-Mihu (2011). “Interactive visualization tool for analysis of large image databases”. Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications, IGI Global, pp. 266-281. [link]

∙ Anca Doloc-Mihu (2009). “Modeling score distributions”. Encyclopedia of Data Warehousing and Mining, 2nd Ed., IGI Global, pp. 1330-1336. [link] pdf

∙ Anca Doloc-Mihu and Vijay V. Raghavan (2007). “Three-way aspect model (TWAPM) and co-training for image retrieval”. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2007. SPIE, 6570: 65700L. [link] pdf

∙ Anca Doloc-Mihu and Vijay V. Raghavan (2007). “Fusion and kernel type selection in adaptive image retrieval”. Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007. SPIE, 6571:657107.[link] pdf

∙ Anca Doloc-Mihu and Vijay V. Raghavan (2006). “Using score distribution models to select the kernel type for a web based adaptive image retrieval system (AIRS)”. CIVR 2006, Springer, LNCS 4071: 443-452. [link] pdf

∙ Anca Doloc-Mihu and Vijay V. Raghavan (2006). “Score distribution approach to automatic kernel selection for image retrieval systems”. ISMIS 2006, Springer, LNCS/LNAI 4203: 238-247. [link] pdf

∙ Anca Doloc-Mihu, Vijay V. Raghavan, Surendra Karnatapu, and Chee-Hung H. Chu (2005). “Interface for visualization of image database in adaptive image retrieval systems (AIRS)”. Visualization and Data Analysis 2005, SPIE, 5669:382-393. [link] pdf

∙ Anca Doloc-Mihu, Vijay Raghavan, and Peter Bollmann-Sdorra (2003). “Color Retrieval in Vector Space Model“. In Proceedings of the 26th International ACM SIGIR Workshop on Mathematical/Formal Methods in Information Retrieval MF/IR. [link] pdf