Department of Electrical and Computer Engineering
The Ohio State University
205 Dreese Laboratory
2015 Neil Avenue
Columbus, OH 43210
Office Location: 664 Dreese Laboratory
Office Phone: (614) 292-4594
Fax: (614) 292-7596
Lori A. Dalton received the B.S. and M.S. degrees in electrical engineering at Texas A&M University, College Station, TX, in 2001 and 2002, respectively. She received the Ph.D. degree in electrical engineering from Texas A&M University in May 2012. She is currently an Assistant Professor of Electrical and Computer Engineering and an Assistant Professor of Biomedical Informatics at The Ohio State University in Columbus, OH.
Dr. Dalton was awarded an NSF Graduate Research Fellowship in 2001 and she was sole recipient of the nationally competitive AFCEA Fellowship in 2003. She received an Association of Former Students Distinguished Graduate Student Masters Research Award in 2003 and a P.E.O. Scholar Award, granting fellowships for women in the US and Canada, in 2010. She was also awarded Second Place Top Oral Presentation by Students at MCBIOS 2011.
Her current research interests include pattern recognition, estimation, optimization, genomic signal processing, systems biology, bioinformatics, robust filtering and information theory.
Multiple openings for PhD students interested in pattern recognition, computational biology and signal processing:
Qualifications: Strong ability in mathematics; self-motivated; proficiency in programming.
Application: Email me your CV and transcripts.
Call for Papers: Special Issue on Bayesian Methods for Computational Systems Biology in the EURASIP Journal on Bioinformatics and Systems Biology. Submission deadline: April 15, 2015. [link]
Paper on Bayes Labeling and Bayes Clustering Operators for Random Labeled Point Processes published in IEEE Transactions in Signal Processing. [link]
Paper on Optimal Cancer Prognosis Under Network Uncertainty published in EURASIP Journal on Bioinformatics and Systems Biology. [link]
Ali Foroughi pour wins Best Student Paper Award at the GENSIPS Workshop in GlobalSIP 2014 for Optimal Bayesian Feature Selection on High Dimensional Gene Expression Data. [link]
Prof. Dalton is supported by the National Science Foundation, Award CCF-1422631. Thank you NSF!
Last updated: February 23, 2015