Rundensteiner PhD Students Pass Milestones
Elke Rundensteiner announced that Zhongfang Zhuang, Computer Science PhD student, successfully passed his Ph.D. Proposal on "Deep Learning on Attribute Sequences." His PhD committee is composed of: Professor Philip S. Yu, University of Illinois at Chicago, External Member Professor Mohamed Eltabakh, WPI Professor Xiangnan Kong, WPI, Co-Advisor Professor Elke Rundensteiner, WPI, Advisor.
She also announced that Computer Science PhD student Ramoza Ahsan successfully passed her Ph.D. Proposal on "Exploration and Mining of Temporal Data." Ramoza's PhD committee is composed of: Professor Vassilis Athitsos, The University of Texas at Arlington - External member Professor Xiangnan Kong, WPI Professor Gabor Sarkozy, Kong, WPI, Co-Advisor Professor Elke Rundensteiner, WPI, Co- Advisor
She congratulates Olga Poppe on completing her Ph.D. degree and now securing an exciting career opportunity at Microsoft Jim Gray Systems Lab in Madison, WI.
Maryam Hasan, Elke Rundensteiner, and Emmanuel Agu, Automatic emotion detection in text streams by analyzing Twitter data, International Journal of Data Science and Analytics (full paper), Received: 14 March 2017 / Accepted: 16 January 2018. Springer International Publishing AG, Springer Nature 2018. Read more information regarding the paper here.
Olga Poppe, Chuan Lei, E. Rundensteiner and D. Maier, GRETA: Graph-based Real-time Event Trend Aggregation. VLDB 2018. (accepted Aug. 2017).
She also reports the following recent research publications:
Sarah Brownell, Tom Hartvigsen, X. Kong and E. Rundensteiner MRSA Infection Prediction System. 2017 IEEE MIT Undergraduate Research Technology Conference, Nov 2017.
Courtney Burns, Jennifer Ha, Andrew Schade, E. Agu and E. Rundensteiner Using Machine Learning to Detect Depression by Voice, 2017 IEEE MIT Undergraduate Research Technology Conference, Nov 2017.
Thomas Hartvigsen, Cansu Sen, Sarah Brownell, Erin Teeple, Xiangnan Kong, Elke Rundensteiner, Early Prediction of MRSA Infections Using Electronic Health Records, HEALTHINF 2018, Funchal, Portugal, January 19-21, 2018.
Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Xiangnan Kong, Elke A. Rundensteiner, Sanjay K. Sahoo, Suranjan De, One Size Does Not Fit All: An Ensemble Approach Towards Information Extraction from Adverse Drug Event Narratives, HEALTHINF 2018, Funchal, Portugal, January 19-21, 2018.
ML Tlachac, Elke Rundensteiner, Kerri Barton, Scott Troppy, Kirthana Beaulac, and Shira Doron, Predicting Future Antibiotic Susceptibility using Regression-based Methods on Longitudinal Massachusetts Antibiogram Data, Proc. of 11th Int. Conf on Health Informatics (HEALTHINF 2018), Funchal, Portugal, January 19-21, 2018.
Yizhou Yan, Lei Cao, and Elke Rundensteiner, Distributed Top-N Local Outlier Detection in Big Data, IEEE Big Data 2017 conference, Dec 2017, Boston, MA.
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