ICMDS 2018

Program Schedule

Friday, November 2, 2018

5:30 PM – 8:30 PM

Registration and Welcome Reception
ODU Webb Center
Hampton/Newport News Rooms

Registration Availability

Friday, November 2 5:30 PM – 8:30 PM	ODU Webb Center Hampton/Newport News Rooms
Saturday, November 3 8:00 AM to 5:00 PM	Constant Hall Lobby
Sunday, November 4 8:00 AM to 3:00 PM	Constant Hall Lobby

Saturday, November 3, 2018

9:00 AM – 9:10 AM	Opening Remarks Hideaki Kaneko, Professor and Chair, Department of Mathematics and Statistics, Old Dominion University Gail Dodge, Dean, College of Sciences, Old Dominion University Constant Hall 1002
9:10 AM – 10:00 AM	Plenary Lecture: Norden Huang Chaired by: Yuesheng Xu Topic: On Holo-Hilbert Spectral Analysis: From turbulence to brain waves Constant Hall 1002
10:00 AM – 10:20 AM	Group Photo Steps of Webb Center
10:20 AM – 10:40 AM	Coffee Break Constant Hall Lobby
10:40 AM – 1:10 PM	Special Session on Functional Spaces Suitable for Big Data Analysis Organized by Guohui Song Constant Hall 1024	Special Session on Convex or Non-Convex Optimization for Data Analysis Organized by Lixin Shen Constant Hall 1037	Invited Talks Chaired by: Hideaki Kaneko Rosemary Renaut (10:40-11:10) Jack Xin (11:20-11:50) Hrushikesh Mhasker (12:00-12:30) Jun Zhang (12:40-1:10) Constant Hall 1042
1:10 PM – 2:40 PM	Lunch Remarks by Robert Wojtowicz, Dean of the Graduate School and Professor of Art History, Old Dominion University Ted Constant Convocation Center Big Blue Room
2:50 PM – 3:40 PM	Plenary Lecture: Wotao Yin Chaired by: Jun Zhang Topic: Building (Stochastic) First-order Methods from Monotone Operators Constant Hall 1002
3:40 PM – 4:00 PM	Coffee Break Constant Hall Lobby
4:00 PM – 5:00 PM	Panel Discussion on Future Directions and Challenges in Data Science Chaired by: Yuesheng Xu Participants: Norden Huang, Zuowei Shen, Ding-Xuan Zhou, Wotao Yin, Rosemary Renaut, Ross Schmidtlein, Charles Micchelli Constant Hall 1002
5:00 PM – 6:00 PM	Student Poster Session and Lightning Round Competition Judged by: Katherine Smith, Lixin Shen, Guohui Song, Anne Gelb Constant Hall Lobby
6:30 PM – 8:30 PM	Conference Reception and Dinner Ted Constant Convocation Center Big Blue Room

Special Session on Functional Spaces Suitable for Big Data Analysis
Organized by Guohui Song

10:40 AM – 11:05 AM	Flexible Krylov Methods for l_p regularization. *Julianne Chung, Assistant Professor, Virginia Tech*, Silvia Gazzola.
11:10 AM – 11:35 AM	Sparse Representations of Data for HPC. *Rick Archibald, Staff Scientist at ORNL*.
11:40 AM – 12:05 PM	Reconstructing Signals from Magnitude-Only Measurements. *Aditya Viswanathan, University of Michigan – Dearborn*, Mark Iwen, Brian Preskitt, Rayan Saab.
12:10 PM – 12:35 PM	Reducing the effects of bad data using variance based joint sparsity. *Anne Gelb, Professor, Dartmouth College*, Theresa Scarnati.
12:40 PM – 1:05 PM	Topological data analysis for vascular disease. *Jae-Hun Jung, Associate Professor, SUNY Buffalo & Ajou University*, John Nicponski.

Special Session on Convex or Non-Convex Optimization for Data Analysis
Organized by Lixin Shen

10:40 AM – 11:05 AM	AFRL Neuromorphic Computing & Robust Machine Learning Research. *Qing Wu, Air Force Research Lab*.
11:10 AM – 11:35 AM	Stochastic Optimization for AUC Maximization. *Yiming Ying, Associate Professor, SUNY Albany*.
11:40 AM – 12:05 PM	Representation of multi-modal data: from linear collaborative learning to deep learning models. *Yu-Ping Wang, Professor, Tulane University*, Wenxing Hu.
12:10 PM – 12:35 PM	Fast algorithms for large dense matrices with applications to biofluids. *Minghao Rostami, Assistant Professor, Syracuse University*, Sarah Olson.
12:40 PM – 1:05 PM	Adaptive Synchrosqueezing Transform with a Time-varying Parameter for Signal Separation. *Qingtang Jiang, University of Missouri-St. Louis*.

Student Poster Session

Estimate Exponential Memory Decay in Hidden Markov Model and its Applications. Felix Xiaofeng Ye, Postdoc fellow, Johns Hopkins University.
Gradient Method in Hilbert-Besov Spaces for the Optimal Control of Parabolic Free Boundary Problems. Ali Hagverdiyev, PhD student Applied Mathematics, Florida Institute of Technology, Dr. Ugur G. Abdulla.
Identification of Parameters in Systems Biology. Roby Poteau, Operations Research, Florida Institute of Technology, Dr. Ugur Abdulla.
Learning interaction laws in agent dynamics from observations. Sui Tang, Assistant Research Professor, Johns Hopkins University, Mauro Maggioni.
Joint sparse recovery via manifold optimization. Armenak Petrosyan, Postdoctoral research associate, Oak Ridge National Laboratory, Akram Aldroubi, Clayton Webster.
Bayesian Non-negative Matrix Factorization for Analyzing Co-location Networks. Wenna Xi, PhD candidate of Biostatistics, The Ohio State University .
Graph Clustering via Sparse Recovery. Daniel Mckenzie, Graduate Student at University of Georgia, Ming-Jun Lai.
RUL Estimation from Prognostic Study based on Logical Analysis of Data and Kaplan-Meier Estimation. Travaughn Bain, Doctoral Candidate, Florida Institute of Technology.
Analysing the relationship between upper respiratory disease and air quality in Montana. Elham Bayat Mokhtari, Graduate Student, University of Montana, Dr. Erin Landguth, Dr. Emily Stone.
Classifying Textual Data Records. William Stone, Student, Pomona College, Anna Gasner, Brian Steele, Emily Stone.
A robust error estimator and a residual-free error indicator for reduced basis methods. Jiahua Jiang, Postdoc Associate, Virginia Tech.
Dynamic Models for Large Tensor Time Series Data. Seyed Yaser Samadi, Assistant Professor of Statistics, Department of Mathematics, Southern Illinois University Carbondale.
A greedy approach to modulus on networks. Jason Clemens, Postdoctoral Fellow, Wichita State University.
Multi-Objective Logical Analysis of Data. Nandini Rakala, PhD Student in Operations Research, Florida Institute of Technology.
Zero-Inflated Count Time Series Models Using Gaussian Copula. Mohammed Alqawba, PhD Student, Old Dominion University.

Sunday, November 4, 2018

8:30 AM – 9:20 AM	Plenary Lecture: Zuowei Shen Chaired by: Norden Huang Topic: Image Restoration and Beyond Constant Hall 1002
9:20 AM – 9:40 AM	Coffee Break Constant Hall Lobby
9:40 AM – 12:10 PM	Special Session on Sparse Medical Image Processing Organized by Yao Lu Constant Hall 1024	Special Session on Statistical Analysis for Big Data Organized by Norou Diawara Constant Hall 1037	Contributed Talks Signal and Image Processing Moderated by: Katie Smith Constant Hall 1042	Contributed Talks Applications of Data Science Moderated by: Ke Shi Constant Hall 1036
12:10 PM – 1:40 PM	Lunch Scholarship Lounge Ainslie Game-Day Building at SB Ballard Stadium
1:50 PM – 2:40 PM	Plenary Lecture: Ding-Xuan Zhou Chaired by: Rosemary Renaut Topic: Mathematical Analysis of Deep CNNs and Distributed Learning Constant Hall 1002
2:50 PM – 5:20 PM	Special Session on Applications of Data Science Organized by Yaohang Li Constant Hall 1024	Contributed Talks Mathematical Foundations of Machine Learning Moderated by: Ruhai Zhou Constant Hall 1037	Contributed Talks – Statistical Analysis for Big Data Moderated by: Yan Peng Constant Hall 1042
5:30 PM	Adjourn

Special Session on Sparse Medical Image Processing
Organized by Yao Lu

9:40 AM – 10:05 AM	Structured Sparsity Promoting Functions. *Lixin Shen, Syracuse University*.
10:15 AM – 10:40 AM	Signal and Image Recovery from Saturated Measurements. *Ming Yan, Assistant Professor at Michigan State University*.
10:50 AM – 11:15 AM	Data Mining in CT Dose Monitoring and Protocol Management. *Da Zhang, Assistant Professor of Radiology, Medical Imaging Physicist at Harvard Medical School, Beth Israel Deaconess Medical Center*.
11:25 AM – 11:50 AM	Medical image reconstruction as a deblurring/denoising problem illustrated via PET. *Ross Schmidtlein, Memorial Sloan-Kettering Cancer Center*.

Special Session on Statistical Analysis for Big Data
Organized by Norou Diawara

9:40 AM – 10:30 AM	Online Sequential Leveraging Sampling Method for Streaming Time Series Data. *Tharuvai N Sriram, Prof and Head Statistics Department at University of Georgia*, Rui Xie, Wei Biao Wu, Ping Ma.
10:35 AM – 11:00 AM	The Copula Functional ARCH Directional Dependence for Intraday Volatility with High-frequency Financial Data. *Jong-Min Kim, Professor, University of Minnesota-Morris*.
11:05 AM – 11:30 AM	Identifying relevant covariates in rna-seq analysis by pseudo-variable augmentation. *Yet Nguyen, Assistant professor, Old Dominion University*, Dan Nettleton.
11:35 AM – 12:00 PM	Multiple Changepoint Detection via Deep Neural Network. *QiQi Lu, Associate Professor, Virginia Commonwealth University*, Yuan Xue, Xiaolin Jiang.

Special Session on Applications of Data Science
Organized by Yaohang Li

2:50 PM – 3:15 PM	Computational drug repositioning using low-rank matrix approximation and randomized algorithms. *Yaohang Li, Associate Professor, ODU*, Huimin Luo, Min Li, Shaokai Wang, Quan Liu, Jianxin Wang.
3:20 PM – 3:45 PM	Globally Encrypted, Locally Unencrypted Deep Neural Network for Privacy-Preserved Learning. *Cong Wang, Assistant Professor, Old Dominion University*, Qiao Zhang, Hongyi Wu, Chunsheng Xin.
3:50 PM – 4:15 PM	Mining online hotel reviews: A Case Study. *Wu He, Associate Professor, Old Dominion University*, Xin Tian.
4:20 PM – 4:45 PM	Marketing the Cloud: A QoS-based Recommendation Approach. *Xianrong Zheng, Assistant Professor, Old Dominion University*.
4:50 PM – 5:15 PM	VANETS – A New Model for Hadoop HDFS Architecture. *Lloyd Decker, Adjunct Faculty Computer Science at Old Dominion University*, Stephan Olariu, Old Dominion University.

Contributed Talks – Signal and Image Processing

9:40 AM – 10:00 AM	The domain decomposition Fourier continuation method for the reconstruction of two-dimensional local Fourier images. *Ruonan Shi, University at Buffalo*, Jae-Hun Jung, Ferdinand Schweser.
10:10 AM – 10:30 AM	A Content-Adaptive Unstructured Grid based Integral Equation Method with the TV Regularization for SPECT Reconstruction. *Yun Chen, Postdoc at Old Dominion University*, Jiasheng Huang, Si Li, Yao Lu, Yuesheng Xu.
10:40 AM – 11:00 AM	Noise on Dynamical Sampling. *Longxiu Huang, PhD student, Vanderbilt University*, Akram Aldroubi, Ilya Krishtal, Roy R. Lederman, Akos Ledeczi, Peter Volgyesi.
11:10 AM – 11:30 AM	A Krasnoselskii-Mann Algorithm with an Improved EM Preconditioner for PET Image Reconstruction. Yizun Lin, PhD Student, Sun Yat-sen University, Yuesheng Xu, C. Ross Schmidtlein, Qia Li, Si Li.

Contributed Talks – Applications of Data Science

9:40 AM – 10:00 AM	Polymorphic Malware Classification using Machine Learning Algorithms. *Ali Abdinur, Associate Professor, Norfolk State University*, Chung-Chu (George) Hsieh, Mushtaq Khan.
10:10 AM – 10:30 AM	Breast Cancer Detection through Electrical Impedance Tomography and Optimal Control Theory: Theoretical and Computational Analysis. *Saleheh Seif, PhD student, Florida Institute of Technology*, Ugur Abdulla.
10:40 AM – 11:00 AM	Application of Data Clustering Methods and Algorithms in Healthcare. *Weiru Chen, Ph.D student, Information Technology, Old Dominion University*, Jiayue Shen, Yunfei Xing.
11:10 AM – 11:30 AM	Probabilistic Detection Model for Population Estimation. *Mohamed Jaber, Ph.D student, Florida Institute of Technology*, Robert Van Woesik, Nezamoddin N. Kachouie.
11:40 AM – 12:00 PM	Multiscale Analytics with Sparse Data for Transportation Access Management with Implications for Safety and Cost Avoidance. Marwan Alsultan, PhD student, Systems Engineering, University of Virginia, James H. Lambert, Jungwook, Thomas L. Polmateer.

Contributed Talks – Mathematical Foundations of Machine Learning

2:50 PM – 3:10 PM	Multitask Learning in Vector-valued Reproducing Kernel Banach Spaces with the l1 Norm. *Rongrong Lin, Research Associate Professor, Sun Yat-sen University*, Guohui Song, Haizhang Zhang.
3:20 PM – 3:40 PM	Exact Community Detection via Classical Multidimensional Scaling. *Anna Little, Postdoc, Michigan State University*, Yuying Xie, Qiang Sun.
3:50 PM – 4:10 PM	Discovering Governing Laws of Interaction in Heterogeneous Agents Dynamics from Observation. *Ming Zhong, Postdoc Fellow, Johns Hopkins University*, Fei Lu, Mauro Maggioni, Sui Tang.
4:20 PM – 4:40 PM	Evaluating Silhouette Index for Linearly and non-Linearly Separable Groups. *Meshal Shutaywi, Ph.D. candidate, Florida Institute of Technology*, Nezamoddin N. Kachouie.
4:50 PM – 5:10 PM	Bootstrap Weights for Combining Correlation Coefficients. Wejdan Deebani, PhD candidate, Florida Institute of Technology, Dr. Nezamoddin N. Kachouie.

Contributed Talks – Statistical Analysis for Big Data

2:50 PM – 3:10 PM	Statistical Learning with Correntropy-induced Losses. *Yunlong Feng, Assistant Professor, The State University of New York at Albany*, Jun Fan, Xiaolin Huang, Lei Shi, Johan Suykens, Qiang Wu, Yuning Yang, Yiming Ying.
3:20 PM – 3:40 PM	Combining Assumptions and Graphical Network into Gene Expression Data Analysis. *Demba Fofana, Assistant Professor, University of Texas Rio Grande Valley*, E. O. George.
3:50 PM – 4:10 PM	CUR Decompositions and Subspace Clustering. *Keaton Hamm, Postdoctoral Researcher, University of Arizona*.
4:20 PM – 4:40 PM	Influential nodes ranking on online rumors spreading in mobile social networks. *Yunfei Xing, PhD student, Jilin University, China*, Weiru Chen, Duo Wang.
4:50 PM – 5:10 PM	Estimating Gompertz Baseline Parameters in a Full Parametric Survival Model. Farag Hamad, Florida Institute of Technology, Nezamoddin N. Kachouie.