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   Kim, N.; Hodge, L.; King, S. (July 2021, Southeastern Robert Noyce Conference)

   null (Ed.)

   This presentation poster summarizes the recruitment efforts, insights gained, and lessons learned through the VolsTeach for Appalachia project that focuses on recruiting and preparing community college students in becoming STEM teachers in East Tennessee. 

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2. Prioritization Framework for Rockfall Countermeasures for Rock-Cut Slopes for Rural Roads

   https://doi.org/10.1061/(ASCE)CO.1943-7862.0002139  

   Yoon, Yoojung; GangaRao, Hota (October 2021, Journal of Construction Engineering and Management)

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3. Algorithms for Computing Closest Points for Segments

   https://doi.org/10.4230/LIPIcs.STACS.2024.58  

   Wang, Haitao (March 2024, Schloss Dagstuhl – Leibniz-Zentrum für Informatik)

   Beyersdorff, Olaf; Kanté, Mamadou Moustapha; Kupferman, Orna; Lokshtanov, Daniel (Ed.)

   Given a set P of n points and a set S of n segments in the plane, we consider the problem of computing for each segment of S its closest point in P. The previously best algorithm solves the problem in n^{4/3}2^{O(log^*n)} time [Bespamyatnikh, 2003] and a lower bound (under a somewhat restricted model) Ω(n^{4/3}) has also been proved. In this paper, we present an O(n^{4/3}) time algorithm and thus solve the problem optimally (under the restricted model). In addition, we also present data structures for solving the online version of the problem, i.e., given a query segment (or a line as a special case), find its closest point in P. Our new results improve the previous work. 

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4. AI for Security and Security for AI

   https://doi.org/10.1145/3422337.3450357  

   Bertino, Elisa; Kantarcioglu, Murat; Akcora, Cuneyt Gurcan; Samtani, Sagar; Mittal, Sudip; Gupta, Maanak (April 2021, ACM Conference on Datta and Application Security and Privacy (CODASPY) 2021)

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5. Design for metrology for freeform optics manufacturing

   https://doi.org/10.1016/j.procir.2019.04.255  

   Venditti, K; Evans, C; Falaggis, K; Blum, A; Chaudhuri, R; Goodsell, J; Rolland, J (April 2019, CIRP)

   Freeform optical surfaces offer significant design opportunities but pose new challenges in metrology and manufacturing. Evolution in optics manufacturing processes have changed the surface spatial frequencies that must be measured. Optical surface definition is expected to be with respect to fiducials and datums which must be realizable at all stages of manufacture; uncertainty in that realization becomes important in some cases. Concurrent engineering is required, but appropriate data has not been collated for use by optical designers. One approach to providing such data is described. 

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