Soumya Ray, PhD

Associate Professor
Department of Computer and Data Sciences
Case School of Engineering

Develops and analyzes algorithms for intelligent adaptive systems

Teaching Information

Teaching Interests

artificial intelligence, machine learning

Research Information

Research Interests

Artificial intelligence, machine learning, reinforcement learning, automated planning, applications to interdisciplinary problems including medicine and bioinformatics
 

Awards and Honors

Best Reviewer Award, Neural Information Processing Systems Conference (NIPS)
2017

Publications

  • Connamacher, H., Pancha, N., Liu, R., & Ray, S. (2019). Rankboost + +: an improvement to Rankboost. Machine Learning.
  • Connamacher, H., Pancha, N., Liu, R., & Ray, S. (2019). Rankboost + +: an improvement to Rankboost. Machine Learning.
  • Lu, H., Lee, J., Ray, S., Tanaka, K., Bezerra, H., Rollins, A. M., & Wilson, D. L. (2019). Automated stent coverage analysis in intravascular OCT (IVOCT) image volumes using a support vector machine and mesh growing. Biomedical Optics Express, 10 (6).
  • Lu, H., Lee, J., Ray, S., Tanaka, K., Bezerra, H., Rollins, A. M., & Wilson, D. L. (2019). Automated stent coverage analysis in intravascular OCT (IVOCT) image volumes using a support vector machine and mesh growing. Biomedical Optics Express, 10 (6).
  • Lu, H., Lee, J., Ray, S., Tanaka, K., Bezerra, H., Rollins, A. M., & Wilson, D. L. (2019). Automated stent coverage analysis in intravascular OCT (IVOCT) image volumes using a support vector machine and mesh growing. Biomedical Optics Express, 10 (6).
  • Lu, S., Lee, J., Ray, S., Tanaka, K., Bezerra, H., Rollins, A. M., & Wilson, D. L. (2019). Automated stent coverage analysis in intravascular OCT (IVOCT) image volumes using a support vector machine and mesh growing.. Biomedical optics express, 10 (6), 2809-2828.
  • Ray, S. (2019). Automated stent coverage analysis in intravascular OCT (IVOCT) image volumes using support vector machine and mesh growing. .
  • Steen, F., Hougaard, A., Joo, J., Olza, I., C�novas, C., Pleshakova, A., Ray, S., Uhrig, P., Valenzuela, J., Wozny, J., & Turner, M. (2018). Toward an infrastructure for data-driven multimodal communication research. Linguistics Vanguard, 4 (1).
  • Steen, F., & Ray, S. (2018). Toward an infrastructure for data-driven multimodal communication research. Linguistics Vanguard, 4 (1).
  • Shalev, R., Nakamura, D., Nishino, S., Rollins, A. M., Bezerra, H. M., Wilson, D. L., & Ray, S. L. (2017). Automated Volumetric Intravascular Plaque Classification Using Optical Coherence Tomography. AI Magazine, 38 (1).
  • Schwab, D., & Ray, S. (2017). Offline reinforcement learning with task hierarchies. MACHINE LEARNING, 106 (9-10), 1569-1598.
  • Shalev, R., Gargesha, M., Prabhu, D., Tanaka, K., Rollins, A. M., Lamouche, G. M., Bisaillon, C. M., Bezerra, H. M., Ray, S. M., & Wilson, D. L. (2016). Processing to determine optical parameters of atherosclerotic disease from phantom and clinical intravascular optical coherence tomography three-dimensional pullbacks. Journal of Medical Imaging, 3 (2), 024501.
  • Shalev, R., Gargesha, M., Prabhu, D., Tanaka, K., Rollins, A. M., Lamouche, G. M., Bisaillon, C. M., Bezerra, H. M., Ray, S. M., & Wilson, D. L. (2016). Processing to determine optical parameters of atherosclerotic disease from phantom and clinical intravascular optical coherence tomography three-dimensional pullbacks.. Journal of medical imaging (Bellingham, Wash.), 3 (2), 024501.
  • Doran, G., & Ray, S. (2016). Multiple-Instance Learning From Distributions. Journal of Machine Learning Research.
  • Shalev, R., Bezerra, H., Ray, S., Prabhu, D., & Wilson, D. L. (2016). Classification of calcium in intravascular OCT images for the purpose of intervention planning.. Proceedings of SPIE--the International Society for Optical Engineering, 9786
  • Shalev, R., Gargesha, M., Prabhu, D., Tanaka, K., Rollins, A. M., Lamouche, G. M., Bisaillon, C. M., Bezerra, H. M., Ray, S. M., & Wilson, D. L. (2016). Processing to determine optical parameters of atherosclerotic disease from phantom and clinical intravascular optical coherence tomography three-dimensional pullbacks. Journal of Medical Imaging [23294302], 3 (2).
  • Lu, H., Jakl, M., Wang, Z., Tanaka, K., Ray, S., Cervinka, P., Rollins, A. M., Bezerra, H. M., & Wilson, D. L. (2014). TCT-371 Evaluation of Highly Automated Software for Analyzing Intravascular Optical Coherence Tomography Pullbacks of Stents. Journal of the American College of Cardiology, 64 (11_S).
  • Ouyang, T., Ray, S., Allman, M., & Rabinovich, M. (2014). A Large-Scale Empirical Analysis of Email Spam Detection Through Network Characteristics in a Stand-Alone Enterprise. Computer Networks, Elsevier, 59 , 101--121.
  • Lu, H., Gargesha, M., Wang, Z., Chamie, D., Attizzani, G., Kanaya, T., Ray, S., Costa, M., Rollins, A. M., Bezerra, H. M., & Wilson, D. L. (2013). Automatic stent strut detection in intravascular OCT images using image processing and classification technique. Medical Imaging 2013: Computer-Aided Diagnosis, 8670
  • Lu, S., Gargesha, M., Wang, Z., Chamie, D., Attizzani, G., Kanaya, T., Ray, S., Costa, M., Rollins, A. M., Bezerra, H. M., & Wilson, D. L. (2012). Automatic stent detection in intravascular OCT images using bagged decision trees.. Biomedical optics express, 3 (11), 2809-24.
  • Ruffalo, M., Koyutürk, M.Ray, S., & LaFramboise, T. (2012). Accurate estimation of short read mapping quality for next-generation genome sequencing.. Bioinformatics (Oxford, England), 28 (18), i349-i355.

Education

PhD
Computer Science
University of Wisconsin-Madison
2005
Master of Science
Computer Science
University of Wisconsin-Madison
2000
Bachelor of Technology
Computer Science and Engineering
Indian Institute of Technology, Kharagpur
1998