Purdue University
ECE 647 Convex and Stochastic Optimization and Applications
Spring 2023, MWF 12:30 - 1:20, Room BHEE 224
Poster Presentation Schedule: 11:30am-1:20pm Friday 4/28 MSEE239
Please attend both hours, so that you can both present your project and evaluate others.
Group 1 (presenting 11:30am-12:05):
Chan-Yuan (David) Kuo
David Nickel
Giles Bischoff
Japneet Singh
Lizhi Ding
Sangbin Moon
Group 2 (presenting 12:05-12:40):
Deepak Ravikumar
Ege Can Kaya
Hari Kiran Reddy
Jose Ignacio Caiza
Maheed Hatem Ahmed
Won Jun Lee
Group 3 (presenting 12:40-1:20):
Mainak Pal
Mehdi Davoudi
Satyavrat Wagle
Shiraz Khan
Sixiang Zhou
Yongchun (Brian) Ni
Final Project Topics and Reports
Communications and Networks
David Nickel, Delay-Aware Federated Learning Network Design with Communications Reliability Considerations
(pdf)
Ege Can Kaya, Robust Randomized Greedy Algorithms for Weakly Submodular Function Maximization Under Budget Constraints
(pdf)
Giles Bischoff, Analysis of Bayesian Quickest Change Detection Schemes Through Markov Decision Processes
(pdf)
Jose Ignacio Caiza, Optimal Ordering Policies for Supply Networks with Disruptions
(pdf)
Satyavrat Wagle, Smart D2D Data Exchange for Federated Learning
(pdf)
Shiraz Khan, Sparse Error Recovery in Sensor Networks using Inter-Agent Measurements
(pdf)
Sixiang Zhou, Minimizing Age-of-Information with Unreliable Channel and Random Access
(pdf)
Won Jun Lee, Age of Information Optimization using Markov Decision Problem
(pdf)
Control and Optimization of Cyber-Physical Systems
Chan-Yuan (David) Kuo, Resilient Containment Control of Multi-Agent Networks in Adversarial Environment
(pdf)
Lizhi Ding, Optimal Power Flow Analysis with Integration of Inverter-Based Resources
(pdf)
Yongchun (Brian) Ni, Optimization of EV Charging Facilities Using a Linear Toll Approach
(pdf)
Hari Kiran Reddy, Demand Charge Reduction for Commercial and Industrial Consumers using Electric Vehicles
(pdf)
Mehdi Davoudi, Optimal Participation Strategy of an Energy Hub in the Distribution Power and Heat Networks.
Machine Learning and Online Learning
Deepak Ravikumar, Semantic constraint to improve deep visual-spatial learning
(pdf)
Japneet Singh, Low-Rank Matrix Completion with Prior Subspace Information
(pdf)
Maheed Hatem Ahmed, Cooperative Multi-Agent Reinforcement Learning through Trajectory Ranking
(pdf)
Mainak Pal, Adaptive Intent-Aware Optimization,
(pdf)
Sang Bin Moon, Analysis of Online Relative Entropy Policy Search with Optimistic Loss Predictor
(pdf)