Soumya Ray

Associate Professor, Computer and Data Sciences Department
Develops and analyzes algorithms for intelligent adaptive systems
Office: 516 Olin Phone Number: (216) 368-4040 Email: soumya.ray@case.edu

Education

Ph.D., Computer Science, University of Wisconsin, Madison, 2005
M.S., Computer Science, University of Wisconsin, Madison, 2000
B.Tech., Computer Science and Engineering, Indian Institute of Technology, Kharagpur, 1998

Awards and Recognitions

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

Research Interests

artificial intelligence, machine learning, reinforcement learning, automated planning, applications

Teaching Interests

artificial intelligence, machine learning

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.