Faculty Roster Form

Qualifications of Full-Time and Part-Time Faculty

Name of Institution:  North Carolina A&T State University

Name of Primary Department: Computational Science and Engineering

Academic Term(s) Included: Fall 2019; Spring 2020                                                                                                                                           Date Form Completed:  February 21, 2020

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NAME (F, P)	COURSES TAUGHT Including Term, Course Number & Title, Credit Hours (D, UN, UT, G) [Dual] Note – for substantive change prospectuses/applications, list the courses to be taught, not historical teaching assignments	ACADEMIC DEGREES & COURSEWORK Relevant to Courses Taught, Including Institution & Major List specific graduate coursework, if needed	OTHER QUALIFICATIONS & COMMENTS Related to Courses Taught
Bikdash, Marwan (F)	Fall 2019 CSE 702 Comprehensive Numerical Analysis, 3(G) CSE 794, Master’s Supervised Research, 2 (G) CSE 797, Master’s Thesis, 3-6 (G) CSE 994, Doctoral Supervised Research, 3 (G) CSE 995, Doctoral Preliminary Examination, 3 (G) CSE 997, Doctoral Dissertation, 2 (G) CSE 999, Continuation of Dissertation, 1 (G) Spring 2020 CSE 792 Graduate Seminar, 1 (G) CSE 799 Master’s Thesis, 1 (G) CSE 992 Doctoral Seminar, 1 (G) CSE 997 Doctoral Dissertation, 2 (G) CSE 999 Continuation of Dissertation, 1 (G)	PhD, Electrical Engineering, Virginia Polytechnic Institute and State University, 1993. MS, Electrical Engineering. Virginia Polytech Institute and State University, 1990.	The courses CSE 794, 797, 799, 994, 995, 997, 999 are thesis, projects, and dissertation related courses.  The students work independently and in collaboration with their thesis and dissertation advisors. These courses are typically administered by the Chair (Dr. Bikdash) or Graduate Coordinator (Dr. Gokaraju) Transcript
Balakrishna, Gokaraju (F)	Fall 2019 CSE 805 Machine Learn and Data Mining, 3 (G) Spring 2020 CSE 703 Program for Scalable Comp Sys, 3 (G) CSE 794 Master’s Supervised Research, 2-3 (G) CSE 796 Master’s Project, 3 (G) CSE 797 Master’s Thesis, 1-6 (G) CSE 799 Master’s Thesis, 1 (G)	PhD, Electrical Engineering. Mississippi State University, 2010. MS, Satellite Remote Sensing. Birla Institute of Technology, 2006. PhD in Computer Engineering:                                                                                  CSE8843: Seg/Parallel Alrth (3cr); CSE8990: Special Topics in CS (3cr); ECE 8803: Randome Signals and Systems (3cr); ECE 7000: Directed Indiv Study (3cr);  ECE 6713: Computer Architecture (3cr); CSE 6153: Data Comm Networks (3cr); CSE 6383: Crypto & Network Security(3cr)     = 21 relevant credits	The courses CSE 794, 796, 799, 994, carry no contact hours because they are thesis, projects, and dissertation related courses.  The students work independently and in collaboration with their thesis and dissertation advisors. These courses are typically administered by the Chair (Dr. Bikdash) or Graduate Coordinator (Dr. Gokaraju) Transcript
Park, Hyoshin (F)	Fall 2019 CSE 792, Graduate Seminar, 1 (G) CSE 804, Computational Modeling and Visualization, 3 (G) CSE 992, Doctoral Seminar, 1 (G) Spring 2020 CSE 785, Overview of Optimization, 3 (G) CSE 885 Info & Decision Sys Urban Trans, 3 (G)	PhD, Civil Engineering. University of Maryland, 2016. MS, Urban Planning and Engineering. Yonsei University, 2007. PhD in Civil Engineering: BMGT830: Operations Research Linear Programming (3cr), CMSC726: Machine Learning(3cr), ENCE688I: Discrete Choice Analysis(3cr), BMGT808E: Stochastic Optimization(3cr), EDMS651: Applied Multi Regression Analysis (3cr), ENCE677: Transportation Models (3cr), ENCE688T: Transportation Network (3cr)  =   21 credits of relevant coursework	Dean’s Letter Transcripts
Rhinehardt, Kristen (F)	Fall 2019 CSE 620 Intro to Compu Software Tools, 3 (G) Spring 2020 CSE 720 Research Computing Environment, 3 (G) CSE 993, Doctoral Supervised Teaching, 2-3 (G) CSE 994, Doctoral Supervised Research, 2 (G) CSE 997, Doctoral Dissertation, 1-12 (G)	PhD, Nanoengineering. North Carolina Agricultural & Technical State University, 2015. MS, Nanoengineering. North Carolina Agricultural & Technical University, 2012. PhD in NanoEngineering:     Nano 701:  Simulation Modeling Methods in Nanoscience and Nanoengineering(3cr); Nano785 Special Topics in Nanoengineering(3cr),  Nano 785: Special topics: Intro to Nanomodeling& Applications (3cr); Nano885: Special Topics: Process Modeling in Composites (3cr); Nano 851: Computational Nano Modeling Lab(1cr); CSE 620: Introduction to Computational Software Tools (3cr); CSE 805: Visual Analytics and Data Mining (3cr); CSE 885: Special  Topics Introductory  Bionformatics (3cr); CSE 704: Computational Modeling and Visualization (3cr)   =  25  credits of relevant coursework	Dean’s Letter Transcript
McCarter, Patrick (P)	Fall 2019 CSE 701 Appl Probability & Statistics, 3 (G) Spring 2020 CSE 801 Computational Statistics, 3 (G) CSE 815 Bioinformatics, 3 (G)	PhD, Bioinformatics and Computational Biology. University of Chapel Hill, 2017. MS, Computational Science and Engineering. North Carolina Agricultural & Technical University, 2012. BS, Physics. North Carolina Agricultural & Technical University, 2009.