Technical Program

This page shows the WiOpt 2026 program, including program at a glance and detailed program.

Detailed Program

Wednesday June 3

Session 1A: Bandits and Online Learning (08:30AM - 9:50AM)

Chair: Arnob Ghosh (New Jersey Institute of Technology)

1. Age-Optimal Best Arm Identification
   Mengqiu Zhou (Zhejiang University, China); Le Yang and Vincent Y. F. Tan (National University of Singapore, Singapore); Meng Zhang (Zhejiang University, China)
2. Probe-then-Commit Multi-Objective Bandits: Theoretical Benefits of Limited Multi-Arm Feedback
   Ming Shi (University at Buffalo, USA)
3. Fair Online Learning for Restless Bandits
   Tasmeen Zaman Ornee (The Ohio State University, USA); Arnob Ghosh (New Jersey Institute of Technology, USA); Ananthram Swami (DEVCOM Army Research Laboratory, USA); Ness B. Shroff (The Ohio State University, USA)
4. An LP-based Sampling Policy for Multi-Armed Bandits with Side-Observations and Stochastic Availability
   Ashutosh Soni (The Ohio State University, USA); Peizhong Ju (University of Kentucky, USA); Atilla Eryilmaz and Ness B. Shroff (The Ohio State University, USA)

Session 1B: Age of Information (11:30AM - 12:50PM)

Chair: Yin Sun (Auburn University)

1. Using Age of Information for Throughput Optimal Spectrum Sharing
   Hongjae Nam, Vishrant Tripathi and David Love (Purdue University, USA)
2. Version AoI Optimization under Power and General Distortion Constraints in Uplink NOMA
   Gangadhar Karevvanavar (IIT Dharwad, India); Rajshekhar Vishweshwar Bhat (Indian Institute of Technology Dharwad, India); Nikolaos Pappas (Linköping University, Sweden)
3. Beyond Freshness and Semantics: A Coupon-Collector Framework for Effective Status Updates
   Youssef Ahmed (The Ohio State University, USA); Arnob Ghosh (New Jersey Institute of Technology, USA); Chih-Chun Wang (Purdue University, USA); Ness B. Shroff (The Ohio State University, USA)
4. Age of Estimates: When to Submit Jobs to a Markov Machine to Maximize Revenue (Invited paper)
   Sahan Liyanaarachchi and Sennur Ulukus (University of Maryland, USA)

Session 1C: Emerging Topics: Quantum, Haptic Communication, and ISAC (02:30PM - 03:50PM)

Chair: Bin Li (The Pennsylvania State University)

1. ISACSoil: Multi-Layer Soil Moisture Sensing with LoRa Cross-Soil Communication
   Yawen Wang, Yimeng Liu and Jingkai Lin (Michigan State University, USA); Yidong Ren (Qualcomm, USA); Younsuk Dong and Tianxing Li (Michigan State University, USA)
2. Distributed Quantum Error Correction: Advancements and Future Research Directions (Invited paper)
   Shahram Babaie, Sean Grzenda and Chunming Qiao (University at Buffalo, USA)
3. On the Analysis of a Quantum MDP Algorithm for Optimizing the Entanglement Throughput of Quantum Switches (Invited paper)
   Bin Luo (The Chinese University of Hong Kong, Hong Kong); John Chi Shing Lui (Chinese University of Hong Kong, Hong Kong)
4. Predictive Hybrid Resource Scheduling for Haptic Traffic with Diffusion-Based Offline Reinforcement
   Yu Yeh (CentraleSupélec, France); Georgios Kokkinis and Qi Zhang (Aarhus University, Denmark); Salah Eddine Elayoubi (CentraleSupélec, France); Vineeth S Varma (CRAN, CNRS, France)

Session 1D: Federated Learning (04:20PM - 05:40PM)

Chair: Haibo Yang (Rochester Institute of Technology)

1. When the Server Steps In: Calibrated Updates for Fair Federated Learning
   Tianrun Yu (The Pennsylvania State University, USA); Kaixiang Zhao (University of Notre Dame, USA); Cheng Zhang (North Carolina State University, USA); Anjun Gao (University of Louisville, USA); Yueyang Quan and Zhuqing Liu (University of North Texas, USA); Minghong Fang (University of Louisville, USA)
2. FedHusky: Accelerating Hybrid Federated Learning with Client Hopping
   Fangtong Zhou, Yi Shi, Wenjing Lou and Thomas Hou (Virginia Tech, USA)
3. Privacy-Accuracy Trade-offs in Federated Learning with Data and Privacy Heterogeneity
   Po-Yen Chen (University of Michigan - Ann Arbor, USA); Nick Farid and Mingyan Liu (University of Michigan, USA)
4. Communication-Efficient State Synchronization for Stable Second-Order Federated Learning
   Ahmed Hany, Karim A. Banawan, Nourhan Sakr and Karim G. Seddik (American University in Cairo, Egypt); Tamer ElBatt (The American University in Cairo (AUC), Egypt)

Thursday June 4

Session 2A: Edge Computing and Offloading (08:30AM - 9:50AM)

Chair: Brocanelli Marco (The Ohio State University)

1. Delay Optimization in a Simple Offloading System
   Darin Jeff (Massachusetts Institute of Technology, USA); Eytan Modiano (MIT, USA)
2. PROTEUS: Proactive Latency-Constrained Enhanced Ubiquitous Surveillance
   Gaurav Singh (The University of Texas Arlington, USA); Arnob Ghosh (New Jersey Institute of Technology, USA); Debashri Roy (The University of Texas Arlington, USA)
3. HOSL: Hybrid-Order Split Learning for Memory-Constrained Edge Training
   Aakriti Lnu, Zhe Li and Dandan Liang (Rochester Institute of Technology, USA); Chao Huang (Montclair State University, USA); Rui Li and Haibo Yang (Rochester Institute of Technology, USA)
4. Structure-Informed Online Bandwidth Allocation for Heterogeneous Real-Time Synchronized Streaming
   Xuan Wang (Pennsylvania State University, USA); Ying Sun (The Pennsylvania State University, USA); Atilla Eryilmaz (The Ohio State University, USA); Bin Li (The Pennsylvania State University, USA)

Session 2B: Resource Allocation and Network Optimization (11:30AM - 12:50PM)

Chair: Ziyue Luo (The Ohio State University)

1. Learning Utility over Black-Box Underlays with Delayed Feedback
   Md Mahfujul Kadir and Ning Lu (Queen's University, Canada)
2. Utility Maximization in Wireless Backhaul Networks with Service Guarantees
   Nicholas W Jones and Eytan Modiano (MIT, USA)
3. Planning for Reliable Multi-Technology Networks Under QoS Guarantees
   Maria Samonaki (Technical University of Munich, Germany); Nicolai Kröger (Technical University of Munich (TUM), Germany); Fidan Mehmeti (Technical University of Munich, Germany); Wolfgang Kellerer (Technische Universität München, Germany); Carmen Mas-Machuca (University of the Bundeswehr Munich (UniBW), Germany)
4. Bi-Level Online Provisioning and Scheduling with Switching Costs and Cross-Level Constraints
   Jialei Liu (State University of New York at Buffalo, USA); Can Emre Koksal (The Ohio State University, USA); Ming Shi (University at Buffalo, USA)

Session 2C: 5G/6G and Beyond (02:30PM - 03:50PM)

Chair: Ming Shi (University at Buffalo (SUNY))

1. Priority-Aware Encoding for Bandwidth-Efficient Real-Time Classification in 5G Networks
   Chengzhang Li (The Ohio State University, USA); Peizhong Ju (University of Kentucky, USA); Atilla Eryilmaz and Ness B. Shroff (The Ohio State University, USA)
2. Interference Prediction and Beam Alignment in 5G Indoor mmWave UDNs
   Sihyun Choi and Sungbo Eo (Seoul National University, Korea (South)); Changhee Joo (Korea University, Korea (South)); Saewoong Bahk (Seoul National University, Korea (South))
3. SpikeCSI: CSI Feedback Compression for MIMO Wireless Systems using Spiking Neural Networks (Invited paper)
   Eduardo David Lotto and Eleonora Cicciarella (University of Padova, Italy); Francesco Restuccia and Francesca Meneghello (Northeastern University, USA)
4. Mobile Distributed MIMO for 6G: Learning Meets Coherent Joint Transmission (Invited paper)
   Usama Saeed, Ramin Safavinejad, Yibin Liang, Karim Said, Daniel Jakubisin and Lingjia Liu (Virginia Tech, USA)

Session 2D: Semantic and Efficient Communications (04:20PM - 05:40PM)

Chair: Quanyan Zhu (New York University)

1. Adaptive Unicast-Multicast Strategies for Over-the-Air Updates in Multi-Receiver Wi-Fi Networks
   Fatemeh Jafari and Valentin Thomas Haider (Technical University of Munich, Germany); Luca Parolini and Christian Wimmer (BMW Group, Germany); Fidan Mehmeti (Technical University of Munich, Germany); Wolfgang Kellerer (Technische Universität München, Germany)
2. TopoCode-PCD: Topological Semantic Error Detection and Correction for Geometric Point Cloud Communication
   Rohit Bhusal, Hongzhi Guo and Mehmet Can Vuran (University of Nebraska-Lincoln, USA)
3. Joint Bit-Partitioning and Modulation Design for Digital AirComp
   Xiaojing Yan and Carlo Fischione (KTH, Sweden)
4. Measure Once, Train Often: Scaling Waveform Classifiers with Channel-Augmented Data (Invited paper)
   Sage Trudeau (Lincoln Laboratory, USA); Spencer Chun (MIT Lincoln Laboratory, USA); Brandon Nguyen and Kaushik Chowdhury (University of Texas at Austin, USA)

Friday June 5

Session 3A: Network Control and Scheduling (08:30AM - 9:50AM)

Chair: Vishrant Tripathi (Purdue University)

1. Learning and Rate-Adaptive Scheduling in Wireless Networks with Unknown Channel Statistics (Invited paper)
   Saptarshi Mandal (University of Illinois Urbana-Champaign, USA); R. Srikant (University of Illinois at Urbana-Champaign, USA)
2. Index Policies for RMAB Problems with Varying Capacity and Global State Dependency (Invited paper)
   Sixiang Zhou (Purdue University, West Lafayette, USA); Xiaojun Lin (The Chinese University of Hong Kong, Hong Kong); Lei Jiao (University of Oregon, USA)
3. Optimal Sampling and Actuation Policies of a Markov Source over a Wireless Channel (Invited paper)
   Mehrdad Salimnejad (Linköping University, Sweden); Anthony Ephremides (University of Maryland, USA); Marios Kountouris (University of Granada, Spain & EURECOM, France); Nikolaos Pappas (Linköping University, Sweden)
4. Monitoring State Transitions in Markovian Systems with Sampling Cost
   Kumar Saurav (Shiv Nadar University, India); Ness B. Shroff and Yingbin Liang (The Ohio State University, USA)

Session 3B: Reconfigurable Intelligent Surface (11:30AM - 12:50PM)

Chair: Myeung Suk Oh (The Ohio State University)

1. Cooperative Deep Reinforcement Learning for Fair RIS Allocation
   Martin Mark Zan and Stefan Schwarz (TU Wien, Austria)
2. Tractable Analysis of Realistic Gains from Intelligent Metasurfaces
   Santos Bustos Julian Alfonso and Jean-Marc Kelif (Orange Labs, France); Lynda Zitoune (L2S Paris Saclay University, France); Eitan Altman (INRIA, France)
3. Secure and Efficient Transmission in Hybrid Sparse RIS-Enabled Internet of Robotic Things
   Gaurav Singh (The University of Texas Arlington, USA); Sravani Kurma (Mississippi State University, USA); Debashri Roy (The University of Texas Arlington, USA); Vini Chaudhary (Mississippi State University, USA)
4. Optimal RIS Placement in Multi-User MISO Systems with User Randomness
   Abhishek Rajasekaran, Mehdi Karbalayghareh, Xiaoyan Ma, David Love and Christopher G. Brinton (Purdue University, USA)

Session 3C: Network Economics and Incentives (02:30PM - 03:50PM)

Chair: Jia Liu (The Ohio State University)

1. Assuring Service Level Agreements in Open Radio Access Networks: An End-to-End System Design
   Yufan He (Zhejiang University, China); Tuan Van Ngo, Mao Van Ngo, Binbin Chen and Tony Q. S. Quek (Singapore University of Technology and Design, Singapore); Howard Yang (Zhejiang University, China & University of Illinois at Urbana Champaign (UIUC), USA)
2. Contract Design for Dynamic Spectrum and Infrastructure Sharing under Asymmetric Risk Information
   Zongyun Xie and Randall A Berry (Northwestern University, USA)
3. Internet of Agentic AI: Incentive-Compatible Distributed Teaming and Workflow
   Ya-Ting Yang and Quanyan Zhu (New York University, USA)
4. Joint Network-and-Server Congestion in Multi-Source Traffic Allocation: A Convex Formulation and Price-Based Decentralization
   Tamoghna Sarkar and Bhaskar Krishnamachari (University of Southern California, USA)

Session 3D: Learning for Wireless Systems (04:20PM - 05:40PM)

Chair: Peizhong Ju (University of Kentucky)

1. Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning
   Marvin Illian (Paderborn University, Germany); Ramin Khalili (Huawei Technologies, Germany); Antonio A. de A. Rocha (Fluminense Federal University, Brazil); Lin Wang (Paderborn University, Germany)
2. Physics-Informed Parametric Bandits for Beam Alignment in mmWave Communications
   Hao Qin, Thang Nhat Duong, Ming F. Li and Chicheng Zhang (University of Arizona, USA)
3. AWaRe-SAC: Proactive Slice Admission Control under Weather-Induced Capacity Uncertainty
   Dror Jacoby (Tel Aviv University, Israel); Yanzhi Li (Northwestern University, USA); Shuyue Yu (Columbia University, USA); Nicola Di Cicco (OPTIT, Italy); Hagit Messer (Tel-Aviv University, Israel); Gil Zussman (Columbia University, USA); Igor Kadota (Northwestern University, USA)
4. Learning Wireless Interference Patterns: Decoupled GNN for Throughput Prediction in Heterogeneous Multi-Hop p-CSMA Networks
   Faezeh Dehghan Tarzjani and Bhaskar Krishnamachari (University of Southern California, USA)