Muhilan Ramamoorthy | Combinatorial Optimization | Best Researcher Award

Dr.Muhilan Ramamoorthy | Combinatorial Optimization | Best Researcher Award

Instructor Arizona State University United States

Muhilan Ramamoorthy is a seasoned researcher and instructor with extensive experience in both academia and industry. He is dedicated to teaching undergraduate and graduate courses, and has a rich background in systems engineering, software development, and validation. As an AI and machine learning enthusiast, his research focuses on applying these technologies to combinatorial optimization problems to create meaningful and equitable impacts.

Profile

Google Scholar

Education ๐ŸŽ“

  • Doctor of Philosophy in Computer Engineering – Arizona State University, Tempe, AZ (December 2022)
    • Dissertation: “Heuristics for Arc Routing Problems and Their Applications”
    • GPA: 3.75
  • Bachelor of Engineering in Electrical and Electronics Engineering – Bharathiar University, Coimbatore, India (May 2002)

Experience ๐Ÿ’ผ

  • Instructor (Full-time) – Arizona State University, Tempe, AZ (August 2023 โ€“ Present)
    • Taught various formats: regular, online, hybrid
    • Engaged with large classes and utilized innovative pedagogical methods
  • Instructor – Arizona State University, Tempe, AZ (July 2015 โ€“ May 2022)
    • Facilitated problem-based and cooperative learning for graduate and undergraduate students
    • Improved course content and student engagement
  • Data Science Intern – Change for Change, NY (May 2022 โ€“ December 2022)
    • Developed models for text classification and charity impact calculation
  • Machine Learning Intern – Infineon Technologies, Irvine, CA (June 2021 โ€“ August 2021)
    • Worked on noise reduction and speaker identification projects
  • Tech Lead – Visteon Technical and Services Center, Chennai, India (January 2006 โ€“ July 2014)
    • Led product development for various automotive programs

Research Interests ๐Ÿ”

  • Neural Combinatorial Optimization for routing problems
  • Learning heuristics for solving arc and capacitated arc routing problems
  • Representation learning for graphs and deep reinforcement learning
  • Heuristics, meta-heuristics, and hybrid methods for vehicle and arc routing problems

Awards ๐Ÿ†

  • Winner, City of Phoenix – Cisco IoT Challenge (2017)
    • Developed an app for the City of Phoenix Public Works Department
  • NSF Travel Grant Award (2016)
    • For attending the US GENI and EU FIRE Summer Camp in Ghent, Belgium
  • Leading the Way Award, Visteon Corporation (2011)
    • Recognized for the successful delivery of the Mahindra L3 program

Publications ๐Ÿ“š

  1. Online re-routing for vehicle breakdown in residential waste collection2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), IEEE, 2020
  2. MA-ABC: A memetic algorithm optimizing attractiveness, balance, and cost for capacitated Arc routing problemsProceedings of the Genetic and Evolutionary Computation Conference, 2021
  3. Heuristics for Arc Routing Problems and Their ApplicationsArizona State University, 2022
  4. Learning heuristics for arc routing problemsIntelligent Systems with Applications, 2024