Duo Lu Headshot

Contact Info

Email: dlu [at] rider.edu

Phone Number: 609-895-5430

Department: Department of Computer Science and Physics

Office Location: Mike and Patti Hennessy Science and Technology Center

Additional Info:

Academic Focus: Computer Science

Dr. Duo Lu is an assistant professor in the department of computer science and physics at Rider University, where he specializes in automated vehicles, robotics, computer vision, machine learning, and motion capture. Dr. Lu's current research focuses on the digitization of the motion of vehicles through visual perception sensors and reconstruction of traffic scenes for driving safety analysis and fine-grained traffic statistics. Dr. Lu is also interested in capturing and understanding the motion of hand gestures as well as in-air-handwriting.

Dr. Duo Lu is a member of Association for Computing Machinery (ACM) and a member of Institute of Electrical and Electronics Engineers (IEEE).

Education

  • Ph.D. in Computer Science, Arizona State University (ASU)
  • M.S. in Computer Science, Arizona State University (ASU)
  • B.E. in Computer Science, Shanghai Jiao Tong University (SJTU)

Research Interests and Expertise

  • Computer vision, deep learning, machine learning, artificial intelligence.  
  • Robotics perception system, motion capture system, sensors, embedded system.
  • Computer networks, Internet-of-Things, network security, biometrics.

Selected Publications

  • Duo Lu, Dijiang Huang, "Systems and Methods for a Multifactor User Identification and Authentication Framework for In-Air-Handwriting with Hand Geometry and Deep Hashing", US Patent #11120255, granted in Sep. 2021
  • Dijiang Huang, Duo Lu, "Three-dimensional in-the-air finger motion based user login framework for gesture interface", US Patent #10877568, granted in Dec. 2020.
  • Duo Lu, Yuli Deng, Dijiang Huang, "Global Feature Analysis and Comparative Evaluation of Freestyle In-Air-Handwriting Passcode for User Authentication", Annual Computer Security Applications Conference (ACSAC 2021).
  • Duo Lu, Yezhou Yang, et. al., "CAROM - Vehicle Localization and Traffic Scene Reconstruction from Monocular Cameras on Road Infrastructures", IEEE International Conference on Robotics and Automation (ICRA 2021).
  • Niraj V. Altekar, Larry Head, Duo Lu, et al., "Infrastructure-based Sensor Data Capture Systems for Measurement of Operational Safety Assessment (OSA) Metrics." SAE International Journal, 2021.
  • Duo Lu, Linzhen Luo, Dijiang Huang, Yezhou Yang, "FMKit: An In-Air-Handwriting Analysis Library and Data Repository", CVPR Workshop on Computer Vision for Augmented and Virtual Reality, 2020.
  • Duo Lu, Dijiang Huang, et. al., "FMHash: Deep Hashing of In-Air-Handwriting for User Identification", International Conference on Communications (ICC 2019).
  • Duo Lu, Dijiang Huang, Yuli Deng, Adel Alshamrani, "Multifactor User Authentication with In-Air-Handwriting and Hand Geometry" The 11th IAPR International Conference on Biometrics (ICB 2018).
  • Duo Lu, Kai Xu, Dijiang Huang, "A Data Driven In-Air-Handwriting Biometric Authentication System", International Joint Conference on Biometrics (IJCB 2017).
  • Duo Lu, Dijiang Huang, Andrew Walenstein, and Deep Medhi, "A Secure Microservice Framework for IoT", IEEE Service Oriented Software Engineering (SOSE 2017).
  • Duo Lu, Zhichao Li, Dijiang Huang, "Platooning as a Service of Autonomous Vehicles", 4th IEEE WoWMoM Workshop on Smart Vehicles (SmartVehicles 2017).
  • Adel Alshamrani, Ankur Chowdhary, Sandeep Pisharody, Duo Lu, et. al., "A Defense System for Defeating DDoS Attacks in SDN based Networks", International Symposium on Mobility Management and Wireless Access (MobiWac 2017).

Professional Experience

  • Sep. 2021 - present, Assistant Professor at Rider University, Department of Computer Science and Physics, Lawrenceville, NJ
  • May 2020 - Jul. 2021, Research Intern at Institute of Automated Mobility, Tempe, AZ
  • Jan. 2019 - Jul. 2019, Research Intern at TCL Research America, San Jose, CA
  • Aug. 2012 - Apr. 2020, Research Assistant / Instructor / PhD student at Arizona State University (ASU), Tempe, AZ
  • 2018 - 2021, Research paper reviewer of various international conferences and journals, including IEEE TrustCom (2018), IEEE T-BIOM (2018), ACM IMWUT (2019), IEEE BTAS (2019), FIE (2019), IEEE FG (2021), IEEE RA-L (2021), IEEE ICRA (2021), IEEE IROS (2021), IEEE T-ITS (2021)

Awards

  • SAE Trevor O. Jones Outstanding Paper Award (2020)