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  • 20235424_-_sumit_mishra.jpg Sumit Mishra Ph.D. program
    • Year of admission 2023 spring
    • 연구분야 Computer Vision, Robotics Perception, Smart City, Intelligent Transportation System
    • Journal
      1. S Mishra, N Singh, and D Bhattacharya, "Application based COVID19 micro-mobility solution for safe and smart navigation in pandemics", ISPRS International Journal of Geo-Information, MDPI, 2021 (IF: 3.4)

      2. S Mishra, P K Rajendran, L F Santos V, and D Har, "Sensing accident-prone features in urban scenes for proactive driving and accident prevention", IEEE Transactions on Intelligent Transportation Systems (IF:8.5)

      3. S Mishra, V Singh, A Gupta, D Bhattacharya, and A Mudgal "Adaptive Traffic Signal Control in Developing Countries Using Parameters from Crowd-Source Data" Transportation Letters, Taylor & Francis, 2022 (IF: 3.598)

      4. S Mishra, A Kushwaha, D Aggrawal, A Gupta, “Comparative emission study by real-time congestion monitoring for stable pollution policy on temporal and meso-spatial regions in Delhi.” Journal of Cleaner Production, Elsevier, 2019 (IF: 11.072)

      5. S Mishra, D Bhattacharya, A Gupta, “Congestion adaptive traffic light control and notification architecture using Google maps APIs” Data 2018, 3, 67. SCOPUS, ESCI (Web of Science) and Inspec (IET) Listed

      6. S Mishra, and B Ahuja. "Optical parameters testing to redefine visibility for low cost transmissometer using channel modeling." Optik-International Journal for Light and Electron Optics 127.23 (2016). (IF: 3.1)
    • Conference
      1. S Mishra, D Bhattacharya, A Gupta, V R Singh, Adaptive traffic light cycle time controller using microcontrollers and crowdsource data of Google APIs for developing countries, ISPRS Annals, SDSC-2018, Delft, Netherlands, SCOPUS, Web of Science Listed

      2. D Bhattacharya, M Painho, S Mishra and A Gupta, Mobile traffic alert and tourist route guidance system design using geospatial data, ISPRS Archives, 2nd SDSC UDMS IEEE Conference, Puebla, Mexico, October 4-6, 2017. SCOPUS, Web of Science Listed.

      3. S Mishra, “Network Security Protocol For Constrained Resource Devices In Internet Of Things” 12th IEEE Indian International conference INDICON 2015, 17-20 December 2015, Jamia Millia Islamia, New Delhi.

      4. S Mishra, V Singh, D Bhattacharya, "Framework for freight truck return-trip assignment system" 11th IEEE IC3 2018 conference, 2-4 August 2018.

      5. S Mishra, P K Rajendran, and D Har, “Socially acceptable route planning and trajectory behavior analysis of personal mobility device for mobility management with improved sensing” 9th Robot Intelligence Technology and Applications, RiTA 2021, 16-17, 2021 at KAIST in Daejeon, Korea

      6. P Shyam, S Mishra, K J Yoon, and K S Kim, “Infra Sim-to-Real: An efficient baseline and dataset for Infrastructure based Online Object Detection and Tracking using Domain Adaptation” 33rd IEEE Intelligent Vehicles Symposium, 2022

      7. P K Rajendran, S Mishra, L F Santos V, and D Har, "RELMOBNET: A Robust Two-Stage End-To-End Training Approach for MOBILENETV3 Based Relative Camera Pose Estimation" IWDSC, ECCV workshop 2022

      8. S Mishra, D Bhattacharya, A Chaturvedi, and N Singh, “Assessing micro-mobility services in pandemics for studying 10-minutes cities concept in India using geospatial data analysis: an application” IWCTS, ACM SIGSPATIAL workshop 2022

    Sumit Mishra received the B.Tech. degree in electronics and communication engineering from Dr. A. P. J. Abdul Kalam Technical University, India, in 2016, and the M.S. degree from the Robotics Department, Korea Advanced Institute of Science and Technology, South Korea, in 2023, where he is currently pursuing the Ph.D. degree. Earlier, he worked with Learnogether Technologies Pvt. Ltd., as a Research Consultant. His research interests include deep learning, computer vision, and robotics 3D perception using multi-modal data.

  • thumbnail_02.png Donghyeon Kim Ph.D. program
    • Year of admission 2022 autumn
  • 정종오.jpg Jongoh Jeong Ph.D. program
    • Year of admission 2022 autumn
    • 연구분야 Visual Recognition, Autonomous Driving, Domain Adaptation
    • Journal
      "End-to-end Real-time Obstacle Detection Network for Safe Self-driving via Multi-task Learning," IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS), Sept. 2022.

      "Adaptive Bayesian Optimization for Fast Exploration Under Safety Constraints," IEEE Access. Apr. 2023
    • Conference
      "Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving under Adverse Weather," British Machine Vision Conference (BMVC), Nov. 2022.

      "Using Privileged Information to Improve Prediction in Health Data: A Case Study," NeurIPS 2019 Workshop on Information Theory and Machine Learning (ITML 2019)

    Jongoh Jeong is a Ph.D. degree candidate in the Robotics Program at the Korea Advanced Institute of Science and Technology (KAIST), where he is advised by Prof. Kuk-Jin Yoon. His primary research interests lie in the field of autonomous driving across varying environments as well as optimization methods for intelligent vision systems.

  • QZ_-_Qianyi_Zhang.png Qianyi Zhang Ph.D. program
    • Year of admission 2022 autumn

    I obtained the undergraduate and master degrees from Harbin Engineering University in 2019 and 2022 respectively, where I majored in Marine Engineering. I'm now a Doctor Candidate at Mobile Robotics & Intelligence Laboratory (MORIN Lab). My research interests include underwater robotics, navigation and SLAM.

  • thumbnail_02.png Seungjoon Baek Ph.D. program
    • Year of admission 2022 spring
  • thumbnail_02.png Dong-Geol Lee Ph.D. program
    • Year of admission 2021 autumn
  • thumbnail_02.png Minjun Kang Ph.D. program
    • Year of admission 2021 spring
    • 연구분야 4D Clothed Avatar Editing
    • Journal
      Jeon, Hae-Gon and Im, Sunghoon and Choe, Jaesung and Kang, Minjun and Lee, Joon-Young and Hebert, Martial, "CMSNet: Deep Color and Monochrome Stereo", International Journal of Computer Vision (IJCV), 2022, pp652-668
    • Conference
      Kang, Minjun and Choe, Jaesung and Ha, Hyowon and Jeon, Hae-Gon and Im, Sunghoon and Kweon, In So, "Facial Depth and Normal Estimation using Single Dual-Pixel Camera", European Conference on Computer Vision (ECCV), 2022


      Choe, Jaesung and Im, Sunghoon and Rameau, Francois and Kang, Minjun and Kweon, In So, "Volumefusion: Deep depth fusion for 3d scene reconstruction", IEEE International Conference on Computer Vision (ICCV) 2021

    I am currently a Ph.D. student co-advised by Prof. In So Kweon and Prof. Kuk-Jin Yoon at Korea Advanced Institute of Science and Technology (KAIST). Previously, I earned my M.S. in Electrical Engineering from KAIST (Feb. 2021) and B.S. in Electrical Engineering from Yonsei University (Feb. 2019). I am currently interested and working on 4D Human Avatar modeling and editing.

  • 정태일_박사과정.jpg Taeil Chung Ph.D. program
    • Year of admission 2020 autumn
    • 연구분야 Crane Control, Teleoperation, Construction Robots

    I have a lot of interest in the application of robots in the construction field.

  • thumbnail_02.png Chang Nho Cho Ph.D. program
    • Year of admission 2020 autumn
  • thumbnail_02.png DAVID SANTIAGO DIAZ CORTES Ph.D. program
    • Year of admission 2020 autumn