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Rodney L. SummerscalesAssistant professorDepartment of Computing
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Research interests
I am interested in applications of natural language processing and machine learning.
Education
PhD, Computer Science, Illinois Institute of Technology, 2013
MS, Computer Science and Engineering, Pennsylvania State University, 2005
BS, Computer Science, Andrews University, 1999
Courses Taught
CPTR 125: Computer programming with Matlab
CPTR 252: Application development II (Mobile dev)
CPTR 276: Data structures and algorithms
CPTR 425: Programming Languages
CPTR 430: Analysis of algorithms
CPTR 435: Machine Learning
CPTR 436: Numerical Methods and analysis
CPTR 437: Formal Theory of Computing
CPTR 487: Artificial Intelligence
CPTR 475: Topics in Game Design
CPTR 475: Topics in Virtual Reality
Publications
J.W. Talyor, E.C. Rivera, S.K. Kim, R. Campbell, R.L. Summerscales, H.J. Kwon, "Machine Learning Analysis for non-linear phenolic compound monitoring using a mobile phone based ECL sensor". Sensors, vol. 21(18), 2021. [Paper] [pdf]
E.C. Rivera, J. W. Talyor, R. L. Summerscales, and H. J. Kwon, "Quenching Behavior of the Electrochemiluminescence of Ru(bpy)32+/TPrA System by Phenols on a Smartphone-Based Sensor", ChemistryOpen 2021, 10, 842. [Paper] [pdf]
E. C. Rivera, R. L. Summerscales, P. P. Tadi Uppala, and H. J. Kwon, Electrochemiluminescence Mechanisms Investigated with Smartphone-Based Sensor Data Modeling, Parameter Estimation and Sensitivity Analysis. ChemistryOpen, vol. 9, no. 8, pp. 854-863, Aug. 2020. [Paper] [pdf]
E.C. Rivera, J.J. Swerdlow, R.L. Summerscales, P.P. Tadi Uppala, R.M. Filho, M.R.C. Neto, H.J. Kwon. Data-Driven Modeling of Smartphone-Based Electrochemiluminescence Sensor Data using Artificial Intelligence. Sensors 2020, 20, 625. 2020. [Paper] [pdf]
H.J. Kwon, E.C. Rivera, M.R.C. Neto, D. Marsh, J.J. Swerdlow, R L. Summerscales, P.P. Tadi Uppala. Development of smartphone-based ECL sensor for dopamine detection: Practical approaches. Results in Chemistry. 2020. [Paper] [pdf]
R.L. Summerscales. Automatic summarization of clinical abstracts for evidence-based medicine. Ph.D. Thesis, Illinois Institute of Technology, 2013. [BibTex] [pdf]
R.L. Summerscales, S. Argamon, S. Bai, J. Hupert, and A. Schwartz. Automatic summarization of results from clinical trials. In Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2011), 2011. [BibTex] [pdf]
R.L. Summerscales, S. Argamon, J. Hupert, A. Schwartz. Identifying Treatments, Groups, and Outcomes in Medical Abstracts. The Sixth Midwest Computational Linguistics Colloquium (MCLC 2009), 2009. [BibTex] [pdf]
R.L. Summerscales. Three-Dimensional Texture Classification using the Discrete Cosine Transform. M.S. Thesis, Pennsylvania State University, 2005. [BibTex] [pdf]
G.W. Burdick, R.D. Robertson, R.L. Summerscales. Electric-Dipole 4fN-4fN transition intensity parametrizations for lanthanides: an examination of local minima. Journal of Alloys & Compounds. v323-324, July 2001:778-782.
G.W. Burdick, R.L. Summerscales, S.M. Crooks, M.F. Reid, F.S. Richardson. Electric-Dipole 4fN-4fN transition intensity parametrizations for lanthanides: multiple indistinguishable parameter sets and multiple local minima. Journal of Alloys & Compounds. v303, May 2000:376-382.
J. Wolfer, S.H. Lee, J. Sandelski, R. Summerscales, J. Soble, J. Roberge. Endocardial Border detection in contrast enhanced echocardiographic cineloops using a pulse coupled neural network. 1999 Computers in Cardiology. 26:185-188.
Personal
I am married to Tiffany Summerscales, who is a professor in the Physics department at Andrews University. When I have time, I like to mountain bike, hike, or kayak.