Current CODES Lab Members

Salomon Wollenstein Betech
salomonw@bu.edu
PhD Student,
Division of Systems Engineering

Salomón is interested in the use of optimization, machine learning and data analytics to improve the performance of networked systems with applications to Intelligent Transportation Systems.

Wei Xiao
xiaowei@bu.edu
PhD Student,
Division of Systems Engineering

Wei’s research interests include Connected Automated Vehicles (CAVs), Robotics, Lyapunov methods, Machine Learning, Temporal Logic.

Kaiyuan Xu
xky@bu.edu
PhD Student,
Division of Systems Engineering

Kaiyuan is interested in intelligent transportation systems and autonomous vehicles.

Jimmy Queeney
jqueeney@bu.edu
PhD Student,
Division of Systems Engineering

Jimmy is interested in developing robust, data-driven methods to learn optimal treatment policies for personalized medicine.

Andres S. Chavez Armijos
aschavez@bu.edu
PhD Student,
Division of Systems Engineering

Andres is interested in autonomous driving, safety constraints, optimal control, state estimation, and artificial intelligence.

Selected Recent CODES Lab Members

Christos G. PanayiotouChristos G. Panayiotou
Professor, Department of Electrical and Computer Engineering and Deputy Director, KIOS Research and Innovation Center of Excellence, University of Cyprus

PhD Thesis: Sample Path Optimization Techniques for Dynamic Resource Allocation in Discrete Event Systems

Kagan Gokbayrak

Kağan Gökbayrak
Professor, Department of Industrial Engineering, Hacettepe University, Turkey

PhD Thesis: New Optimization Methods for Complex Systems

Wei Li
Principal Engineer and Team Lead, MathWorks Inc., Natick, MA

PhD Thesis: Cooperative Control and applications to UAV and Sensor Networks

 

Shixin (Brenda) Zhuang
Consulting Engineer and Engineering Manager, MathWorks Inc., Natick, MA

PhD Thesis: Optimization Approaches for Reducing Energy Consumption in Wireless Sensor Nodes and Networks

 

Lei MiaoLei Miao
Assistant Professor, Mechatronics Engineering, Middle Tennessee State University, Murfreesboro, TN.

PhD Thesis: Energy-Latency Trade-Offs in Real-Time Wireless Sensor Networks

 

Haining Yu
Scientist, Amazon, Seattle, WA

PhD Thesis: Perturbation Analysis of Feedback-Controlled Stochastic Flow Systems

 

 

Xu (Nikko) NingXu (Nikko) Ning
Engineering Manager, Uber, Seattle, WA

PhD Thesis: Control and Optimization Approaches for Power Management in Wireless Sensor Networks

 

Minyi ZhongMinyi Zhong
Software Engineer, UiPath, Seattle, WA

PhD Thesis: Distributed control and optimization for power limited cooperative systems

 

Chen YaoChen Yao
Vice President Machine Learning and AI Products, UnitedHealth Group, Chicago, IL

PhD Thesis: Perturbation Analysis, Optimization and Resource Contention Games in Stochastic Hybrid Systems

 

 

Tao WangTao (Reno) Wang
Senior Manager, Alibaba, Hangzhou, China

PhD Thesis: Control and optimization approaches for power management in energy-aware battery-powered systems

 

 

Ali KebarighotbiAli Kebarighotbi
Manager, Applied Science, Alexa AI, Amazon, Boston, MA

PhD Thesis: Perturbation Analysis in Fluid Scheduling and Optimization of Stochastic Hybrid Systems

Jianfeng Mao
Associate Professor, School of Data Science, The Chinese University of Hong Kong, Shenzhen, China

PhD thesis: Dynamic Energy Management in Resource Limited Systems with Real-Time Constraints

 

Yanfeng GengYanfeng Geng
Senior Quantitative Analyst, Fidelity, Boston, MA

PhD Thesis: Optimization Methods for Intelligent Transportation Systems in Urban Settings

 

Xuchao LinXuchao Lin
Director, Data Analysis Dept., Zhejiang Shenqi E-commerce Co. Ltd., Huangzhou, China

PhD Thesis: Optimal Control Approaches for Persistent Monitoring Problems.

 

Julia Lima FleckJulia Lima Fleck
Assistant Professor, Department of Industrial Engineering , Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil

PhD Thesis: Topics in Perturbation Analysis for Stochastic Hybrid Systems

Yasaman KhazaeniYasaman Khazaeni
Associate Director of Data Science, Wayfair, Boston, MA

PhD Thesis: An event-driven approach to control and optimization of multi-agent systems

 

 

Sepideh Pourazarm
Principal Data  Scientist, Plan and Optimize Department, Nielsen Corp., Needham, MA

PhD Thesis: Control and Optimization Approaches for Energy-Limited Systems: Applications to Wireless Sensor Networks and Battery-Powered Vehicles

 

 

Xinmiao Sun

Xinmiao Sun (孙新苗)
Assistant Professor, School of Automation and Electrical Engineering, University of Science and Technology Beijing, China

PhD Thesis: Static and Dynamic Optimization Problems in Cooperative Multi-Agent Systems

 

 

Nan Zhou

Nan Zhou
Senior Quality Engineer, MathWorks Inc., Natick, MA

PhD Thesis: Cooperative Control for Multi-Agent Persistent Monitoring Problems

 

 

Xiangyu Meng
Assistant Professor, Division of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, LA

Post Doctoral Associate, 2017-19

 

Yue Joyce Zhang

Yue Zhang

Research Scientist, Ads Ranking, Facebook, Inc., Menlo Park, CA

PhD Thesis: Methods in Intelligent Transportation Systems Exploiting Vehicle Connectivity, Autonomy and Roadway Data

 

Rebecca Swaszek

Systems Engineer, U.S. DOT Volpe National Transportation Center, Cambridge, MA

PhD Thesis: Data-Driven Fleet Load Balancing Strategies for Shared Mobility-On-Demand Systems

 

Arian Houshmand

Software Engineer, Zoox, Foster City, CA

PhD Thesis: Eco-Routing and Scheduling of Connected and Autonomous Vehicles

 

Rui Chen

Rui Chen

Algorithm Developer, Aptiv, Troy, MI

PhD Thesis: Control and Optimization Methods for Problems in Intelligent Transportation Systems

 

Shirantha Welikala

Post Doctoral Fellow, Notre Dame University, South Bend, IN

PhD Thesis: Overcoming Local Optima in Control and Optimization of Cooperative Multi-Agent Systems