Engineering graduate students recognized by IEEE for machine learning research
Two graduate students in the College of Engineering received awards for their respective research papers in December at the International Conference on Machine Learning and Applications (ICMLA) in Cancun, Mexico.
Organized by the Institute of Electrical and Electronics Engineers (IEEE), ICMLA is an annual conference that brings together researchers and practitioners to present their latest achievements and innovations in the area of machine learning, with emphasis on original research and applications as well as novel algorithms and systems.
Computer science graduate student Lu Wang co-authored a paper titled, "Modeling Over-dispersion for Network Data Clustering," which was selected as a Best Paper Award Top 3 Finalist by the ICMLA program committee. Wang collaborated with Wayne State University computer science faculty members Dongxiao Zhu and Ming Dong as well as Yan Li from the University of Michigan.
Milad Zafar Nezhad, a graduate student in industrial and systems engineering, co-wrote a short paper titled, "A Supervised Bi-Clustering Approach for Precision Medicine" that was chosen as a Best Poster Award Top 3 Finalist. Along with Zhu, Nezhad developed this project with industrial and systems engineering graduate student Najibesadat Sadati; Kai Yang, professor of industrial and systems engineering; and Dr. Phillip Levy, professor of emergency medicine and assistant vice president of translational science and clinical research innovation at Wayne State.
Both papers were selected from a pool of nearly 300 submissions.