short cv

Basics

Name Siddarth Jain
Summary Siddarth is a Principal Research Scientist at Mitsubishi Electric Research Laboratories (MERL). His research spans computer vision, machine learning, and robotics, with a focus on enabling autonomous systems to perceive, understand, and act in the physical world. He develops data-driven and geometric approaches for learning, perception, manipulation, and decision-making, with applications in human–robot collaboration and real-world automation.

Education

  • 2013.01 - 2015.06
    Master of Science (M.S.)
    Northwestern University, Evanston, IL, USA
    Computer Science
    • Robotic Manipulation, Computer Vision, Machine Learning
  • 2013.01 - 2019.06
    Doctor of Philosophy (Ph.D.)
    Northwestern University, Evanston, IL, USA
    Computer Science
    • Computer Vision and Machine Learning for Assistive Robotics

Work

Professional activities

  • 2025.05 - 2025.05
    Session Chair
    International Conference on Robotics and Automation (ICRA)
    Regular session on Human-Robot Collaboration 2.
  • 2021.06 - 2021.06
    Workshop Organizer
    RSS 2021 Workshop on Advancing Artificial Intelligence and Manipulation for Robotics
    Co-organized a technical workshop at RSS 2021 in collaboration with MIT, NIST, NVIDIA, UMass Lowell, and Google AI.
  • 2020.01 - current
    Associate Editor
    IEEE Robotics and Automation Letters (RA-L)
  • 2019.03 - 2019.03
    Finalist Judge
    International Science and Engineering Fair (ISEF)
    Volunteered as a judge evaluating student projects from Chicago Public Schools for participation in the International Science and Engineering Fair.
  • 2017.06 - 2017.06
    Workshop Organizer
    RSS 2017 Workshop on Human-Centered Robotics, Massachusetts Institute of Technology, Cambridge, MA
  • 2012.01 - current
    Invited Peer Reviewer
    Served as a reviewer for leading journals and international conferences.
    • IEEE Robotics and Automation Letters (RA-L)
    • ACM Transactions on Human-Robot Interaction (THRI)
    • IEEE Transactions on Robotics (T-RO)
    • IEEE Transactions on Artificial Intelligence (TAI)
    • Frontiers in Robotics and AI Human-Robot Interaction
    • IEEE Transactions on Neural Systems and Rehabilitation Engineering
    • Autonomous Robots (AURO)
    • Robotics and Autonomous Systems
    • IEEE International Conference on Robotics an Automation (ICRA)
    • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
    • ACM/IEEE International Conference on Human Robot Interaction (HRI)
    • IEEE International Conf. on Biomedical Robo. and Biomechatronics (BioRob)
    • IFAC Cyber-Physical and Human Systems (CPHS)
    • RSS 2021 Workshop on Advancing Artificial Intelligence and Manipulation
    • RSS 2019 Workshop on AI and Its Alternatives in Robotics
    • RSS 2017 Workshop on Spatial-Semantic Representations in Robotics
    • RSS 2017 Workshop on Mathematical Models, Algorithms, and HRI
    • IROS 2014 Workshop on Rehabilitation and Assistive Robotics

Advising and mentoring

  • - Interns
    Graduate Student Research
    Fortunate to work with a great group of graduate students.
    • Abraham George, Carnegie Mellon University (2025)
    • Qiyang Qian, University of California, Berkeley (2025)
    • Miquel Oller, University of Michigan (2024)
    • Ho Jin Choi, University of Pennsylvania (2024)
    • Prasanth Suresh, University of Georgia (2023)
    • Hanonan Chang, Rutgers University (2023)
    • Yash Shukla, Tufts University (2023)
    • Baichuan Huang, Rutgers University (2022)
    • Aidan Curtis, Massachusetts Institute of Technology (2022)
    • Ben Abbatematteo, Brown University (2021)
    • Xinghao Zhu, University of California, Berkeley (2021)