Dissertation Presentation Scheduling

We're doing things this way to give you a bit more experience with GitHub, repos, forking, and pull requests (PR).

Instructions: Fork this repository, pull any updates from the main repo (instructions for doing this via github.com), make your updates, and commit as a new branch with a pull request.

I would encourage you to read the pages linked above so that you understand the process. A walk-through of the steps is available at fork-PR-steps.md

Updates (Mar 18, 2020)

• Since we are online for the rest of the semester, we will no longer be using the in-class presentation schedule. (And I have removed that section below.) All presentations are due by Tues, Apr 14 at 5pm.
• I will post here, on Piazza, and on our class schedule a document with the new procedure for creating and submitting your presentation.
• Dissertation presentation procedure: https://github.com/cs800-research-spr20/assignments/blob/master/Dissertation.md

Dissertation Selection

I want a numbered list of student name, GitHub username, dissertation title, author, year, URL. Your line should look something like:

Michele Weigle (@weiglemc) - "Providing Location Security in Vehicular Networks", Gongjun Yan, 2010, https://digitalcommons.odu.edu/computerscience_etds/5

Edit the list below (we have 17 students):

1. Kritika Garg (@kritikagarg) - "Detecting, Modeling, and Predicting User Temporal Intention", Hany M. SalahEldeen, 2015, http://digitalcommons.odu.edu/computerscience_etds/25
2. Himarsha Jayanetti (@himarshaj) - "Using Web Archives to Enrich the Live Web Experience Through Storytelling", Yasmin AlNoamany, 2016, https://digitalcommons.odu.edu/computerscience_etds/13/
3. Ivan Makohon (@IvanM08106184) - "IMPROVING STRUCTURAL FEATURES PREDICTION IN PROTEIN STRUCTURE MODELING", Ashraf Yaseen, 2014, https://digitalcommons.odu.edu/computerscience_etds/68/
4. Travis Reid (@treid003) - "Scripts in a Frame: A Framework for Archiving Deferred Representations", Justin F. Brunelle, 2016, https://digitalcommons.odu.edu/computerscience_etds/10/
5. Joi Best (@jbest002) - "Finite Element Modeling Driven by Health Care and Aerospace Applications", Fotios Drakopoulos, 2017, https://digitalcommons.odu.edu/computerscience_etds/29/
6. Richard Pates (@rpate027) - "Investigating Emerging Security Threats in Clouds and Data Centers", Xing Gao, College of William and Mary - Arts & Sciences, 2018, https://scholarworks.wm.edu/etd/1550153840/
7. Evan Savaria (@esavaria) - "Modeling and Extracting Information about Cybersecurity Events from Text", Satyapanich Taneeya, University of Maryland, 2019, https://search-proquest-com.proxy.lib.odu.edu/docview/2377288862?accountid=12967
8. Xiaoqin Liang(@Crystalwish1125) - "Methods and Systems for Understanding Large-Scale Internet Threats", Paul James Pearce, 2018, https://escholarship.org/uc/item/7fz45409
9. Sanjeeva Reddy Dodlapati (@SanjeevaRDodlapati) - "Machine Learning Approaches for Phenotype Refinement to Improve Genetic Association Analysis" Jiangwen Sun, 2015, https://opencommons.uconn.edu/dissertations/791/
10. Bhanuka Mahanama (@mahanama94) - Deep Ceullular Recurrent Neural Architecture for Efficient Time-Series Data Processing, Lasitha S. Vidyaratne, 2019, [In Press]
11. Muntabir Hasan Choudhury (@choudhurym) - "Scene Text Understanding in Natural Images with Convolutional Neural Networks", Dafang He, 2019, https://etda.libraries.psu.edu/catalog/16559duh188
12. Ioannis Sakiotis (@isaki001) - "Efficient Machine Learning Approach for Optimizing Scientific Computing Applications on Emerging HPC Architectures", Kamesh Arumugam Karunanithi, 2017, https://digitalcommons.odu.edu/computerscience_etds/33/