Xiaoming Li | Systems Engineering | Best Researcher Award

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Dr. Xiaoming Li, Systems Engineering, Best Researcher Award

Doctorate at Concordia University, Canada

Summary:

Dr. Xiaoming Li is an accomplished researcher and educator with extensive experience in artificial intelligence, machine learning, and optimization models for shared mobility and smart logistics. With a Ph.D. in Information and Systems Engineering from Concordia University, his work focuses on integrating data-driven approaches to optimize urban transportation systems and enhance sustainability. He has a strong background in software engineering and has contributed significantly to both academic research and industry projects. Dr. Li has received several awards, including the IEEE Outstanding Leadership Award and the Mitacs Accelerate Program Award. As a dedicated educator, he has taught and mentored students across various institutions, shaping the next generation of computer scientists.

Professional Profile:

👩‍🎓Education:

Ph.D. in Information and Systems Engineering

  • Concordia University, Montréal, QC, Canada
  • Cumulative GPA: 4.0 / 4.3

M.Sc. in Computer Software and Theory

  • Northeastern University, China
  • Cumulative GPA: top 16.7%

B.Sc. in Computer Science and Technology

  • Shenyang Aerospace University, China

Professional Experience:

Dr. Xiaoming Li currently serves as a Research Associate at Concordia University, Montréal, where he supervises interdisciplinary research in artificial intelligence and operations research for shared mobility-on-demand applications. His role involves designing deep learning models for time-series demand forecasts, developing data-driven stochastic optimization models for renewable energy mobility management, and creating an integrated optimization framework for sustainable crowd-shipping services. Previously, Dr. Li held a Research Assistant position at Concordia, working on data analysis and machine learning model development for various projects, including forecasting commodity rates and predicting hotel booking cancellations.

Dr. Li’s industrial experience includes internships at Ericsson’s Global Artificial Intelligence Accelerator, where he developed an energy-saving framework for 5G base stations, and Medialpha, where he optimized nurse routing and medical resource allocation using meta-heuristic algorithms. Additionally, he has substantial experience as a Software Engineer at Shenyang Aerospace University, leading projects and managing teams.

In academia, Dr. Li has served as an Adjunct Faculty at Vanier College, teaching database theory and application development, and as a Full-Time Lecturer at Shenyang Aerospace University, instructing on a variety of computer science courses and supervising numerous student projects.

Research Interest:

  • Machine Learning
  • Operations Research
  • Data Science
  • Data-Driven Optimization
  • Agent-Based Simulation Modeling
  • Shared Mobility
  • Smart Logistics
  • Sustainable Intelligent Transportation Systems

Publications Top Noted: 

GREEN: A Global Energy Efficiency Maximization Strategy for Multi-UAV Enabled Communication Systems

  • N. Lin, Y. Fan, L. Zhao, X. Li, M. Guizani
  • IEEE Transactions on Mobile Computing, 14, 2022.

BM-DDPG: An Integrated Dispatching Framework for Ride-Hailing Systems

  • J. Gao, X. Li, C. Wang, X. Huang
  • IEEE Transactions on Intelligent Transportation Systems, 23(8), 11666-11676, 2021.

Driver Guidance and Rebalancing in Ride-Hailing Systems Through Mixture Density Networks and Stochastic Programming

  • X. Li, J. Gao, C. Wang, X. Huang, Y. Nie
  • 2021 IEEE International Smart Cities Conference (ISC2), 1-7, 2021.

Learning-Based Open Driver Guidance and Rebalancing for Reducing Riders’ Wait Time in Ride-Hailing Platforms

  • J. Gao, X. Li, C. Wang, X. Huang
  • 2020 IEEE International Smart Cities Conference (ISC2), 1-7, 2020.

Ride-Sharing Matching Under Travel Time Uncertainty Through Data-Driven Robust Optimization

  • X. Li, J. Gao, C. Wang, X. Huang, Y. Nie
  • IEEE Access, 10, 116931-116941, 2022.

Tamrat Meles | Industrial Engineering | Best Researcher Award

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Mr. Tamrat Meles, Industrial Engineering, Best Researcher Award

Tamrat Meles at University of Gondar Institute of Technology, Ethiopia

Summary:

Tamrat Meles is a dedicated academic professional with a focus on production engineering and management. He currently serves as a Lecturer at the University of Gondar in Ethiopia, where he delivers lectures, seminars, and tutorials. Tamrat is committed to advancing education, and his responsibilities include designing, preparing, and developing courses, modules, and teaching materials. His academic journey includes earning a Master of Science (MSc) in Production Engineering and Management from Bahir Dar University Institute of Technology. He also holds a Bachelor of Science (BSc) in Industrial Engineering from the same institute.

In addition to his academic pursuits, Tamrat Meles has contributed to research, particularly in the field of productivity improvement through assembly line balancing. He has actively engaged in publications, showcasing his commitment to advancing knowledge and contributing to the academic community. Tamrat’s academic and research endeavors highlight his passion for education and his role in shaping the next generation of professionals in the field of production engineering.

Professional Profile:

Scopus Profile 

👩‍🎓Education & Qualification:

MSc in Production Engineering and Management

  • Bahir Dar University Institute of Technology
  • September 28, 2018 – October 3, 2020
  • Location: Bahir Dar, Ethiopia 

BSc in Industrial Engineering

  • Bahir Dar University Institute of Technology
  • September 7, 2012 – June 19, 2017
  • Location: Bahir Dar, Ethiopia 

Certificate in Evaluation and Measurement of Human Movement to Estimate Physical Workload: A Markerless Approach

  • University of Airlangga (Indonesia)
  • November 7, 2021 – November 7, 2021
  • Location: Indonesia

Work Experience:

Tamrat Meles has a substantial background in academia, serving as a dedicated educator in Ethiopia. His work experience includes:

University of Gondar, Gondar, Ethiopia LECTURER
April 10, 2020 – Present

  • Delivering lectures, seminars, and tutorials.
  • Designing, preparing, and developing courses, modules, and teaching materials.
  • Implementing new teaching methods to align with changes in research.
  • Assessing students’ coursework.
  • Setting, marking, and moderating examinations and assessments.

ASSISTANT LECTURER
January 16, 2018 – September 27, 2018

  • Delivering lectures and tutorials.
  • Preparing and developing courses, modules, and teaching materials.
  • Assessing students’ coursework.
  • Setting, marking, and moderating examinations and assessments.

Tamrat Meles’s commitment to delivering quality education and contributing to the academic development of students is evident through his roles at the University of Gondar.

Publication Top Noted:

“Productivity improvement through assembly line balancing by using simulation modeling in the case of Abay garment industry Gondar”

  • Auothers: M.M. Teshome, T.Y. Meles, and C.-L. Yang 
  • published in Heliyon in 2024
  • Volume 10,
  • Issue 1, e23585