The 3rd Industrial Advisory Board Meeting was held at Café 422 in Boardman. The purpose of the Advisory Board is to share accomplishments of the previous academic year and discuss objectives for the current academic year. This is where advisory board members impart some insights as to what current industry trends are in technology and help to guide those objectives to better prepare our students for a successful future. Discussion also covers any road blocks in the achievement of objectives to gather information as to assistance that can be offered, or alter
On the weekend of Oct 25-26 Youngstown State University (YSU), along with three other universities, hosted the celebrated International Collegiate Programming Contest (ICPC) in East Central North America (ECNA) region. The ICPC is the largest annual multi-tiered competitive programming competition among the universities of the world.
Dr. Lazar and her student Hannah Senediak had a poster presented at Natural Language Processing Poster Session at Grace Hopper Celebration 2019
Dr. Lazar and her student Hannah Senediak had a poster presented at Natural Language Processing Poster Session at Grace Hopper Celebration 2019. The title of the poster is "Automatic Tagging of Stack Overflow Questions Using Word Embeddings and Deep Learning" and was presented by Hannah Senediak, Youngstown State University.
Title: Automatic Tagging of Stack Overflow Questions Using Word Embeddings and Deep Learning
Presentor: Hannah Senediak
Dr. Alina Lazar's paper published in the proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics
The paper, which is co-authored by Dr. Alina Lazar and Astha Syal and entitled "Automatic Detection of Network Traffic Anomalies and Changes” was published in the Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 3–10. SNTA ’19. New York, NY, USA: ACM."
Title: Automatic Detection of Network Traffic Anomalies and Changes
- Alina Lazar
- Jinoh Kim
- Astha Syal
- Alex Sim
- Kesheng Wu
Dr. Feng Yu's recent research paper with his previous master student, David S. Wilson, won the best paper award at the peer-reviews scholarly conference "28th International Conference on Software Engineering and Data Engineering" (SEDE 2019) at San Diego, CA.
Title: Scalable Correlated Sampling for Join Query Estimations on Big Data
Authors: David S. Wilson and Wen-Chi Hou and Feng Yu