Plenary Speaker

Future Directions for Network Science Research

Illya V. Hicks, Ph.D. (INFORMS Fellow)

Professor and Chair of Computational Applied Mathematics & Operations Research 

Rice University, US

 

Tutorial

Tutorial: Polar Duality: A little explored frontier of integer programming

Yogesh Agarwal, Ph.D. (Distinguished Professor)

Distinguished Professor, Jaipuria Institute of Management, India

Rice University, US

 

All sessions will be online through Zoom. Registration is required for all presenters and attendances Please register for the conference using the following link:

https://psu.zoom.us/meeting/register/tJArdOqhpzMoHNFsXtFHWGP1Zq7BwWnmRV2H

The same Zoom session will be used for all sessions. The session times are in Easter Time (US and Canada).

Download the program (pdf)

Mobile friendly version

Program

May 15, Wednesday

Time (Eastern Time (US and Canada)) Title Presenters
08:00 AM -09:00 AM Tutorial: Polar Duality: A little explored frontier of integer programming. Yogesh Agarwal
09:00 AM – 09:15 AM Welcome
09:15 AM – 10:15 AM Keynote: Future Directions for Network Science Research Illya V. Hicks
11:00 AM- 12:00 PM Section Business Meeting

 

May 16, Thursday

Session T1, 09 AM to 10 AM: Network Optimization

Time (Eastern Time (US and Canada)) Title Presenters
09:00 AM – 09:20 AM New Formulations and Valid Inequalities for the Least Cost Influence Problem on Social Networks Yunlong Wang; Taotao He; S. Raghavan; Ying Rong; Rui Zhang
09:20 AM – 09:40 AM Polyhedral Approaches for Stable Steiner Tree Problems Alessandro Hill; Roberto Baldacci; Stefan Voss
09:40 AM – 10:00 AM Extreme-Point Search Heuristics for Solving Interval-Flow Transshipment Networks Richard Barr; Robert Jones

Session T2, 10:30 AM-11:30 AM: Graph Theory

Time (Eastern Time (US and Canada)) Title Presenters
10:30 AM – 10:50 AM Solving the Minimum Biclique Cover Problem Hamidreza Validi; Bruno Burin; Bochuan Lyu; Illya Hicks
10:50 AM – 11:10 AM Implicit Enumeration Approach for the Maximum Ratio Clique Relaxations Yehor Blokhin
11:10 AM – 11:30 AM Modulus for bases of matroids Ngoc Huy Truong

Session T3, 12:00 PM-01:00 PM: Transportation

Time (Eastern Time (US and Canada)) Title Presenters
12:00 PM – 12:20 PM Practical and Effective Heuristics for the Backhaul Profit Maximization Problem Daniel Ryan; Tran Lam; Yuanyuan Dong; Eli Olinick
12:20 PM – 12:40 PM Optimal flows in transportation networks, affine-nonlinear network deformations, and replicator dynamical systems Armen Bagdasaryan
12:40 PM – 01:00 PM Multiple Vehicle Backhaul Profit Maximization Problem Yuanyuan Dong

May 17, Friday

Session F1, 09:00 AM – 10:00 AM: Wireless Networks

Time (Eastern Time (US and Canada)) Title Presenters
09:00 AM – 09:20 AM Dynamic Capacity Management in 5G Networks Demet Batur; Jennifer Ryan; Mehmet C Vuran
09:20 AM – 09:40 AM Overlap approximations in time-varying wireless sensor networks Young Myoung Ko
09:40 AM – 10:00 AM Game Theory-based Probabilistic Cooperative Jamming Against A Strategic Eavesdropper Over Parallel Channels Zhifan Xu; Melike Baykal-Gursoy

Session F2, 10:30 AM – 11:30 AM: Political and Policy Applications

Time (Eastern Time (US and Canada)) Title Presenters
10:30 AM – 10:50 AM Political districting to minimize county splits Maral Shahmizad; Austin Buchanan
10:50 AM – 11:10 AM Political districting to optimize the Polsby-Popper compactness score Soraya Ezazipour; Pietro Belotti; Austin Buchanan
11:10 AM – 11:30 AM Heterogeneous effects of Open Sky Agreements on network structure: Evidence of information flows as a conditioning variable Youngran Choi; Tyler Spence

Session F3, 12:00 PM- 01:00 PM: Network Analytics

Time (Eastern Time (US and Canada)) Title Presenters
12:00 PM – 12:20 PM Digital Strategies in Wildfire Management: The Advantage of Applying Social Media Analytics and Web 3.0 Integration Garros Gong
12:20 PM – 12:40 PM The Power of Offline Friends in Tweet Diffusion: Reciprocity versus Triadic Closure Alireza Zadeh; Youngsoo Kim
12:40 PM – 01:00 PM Improving the network threat detection by imbalanced learning and graph analytics Lili Zhang