Sudipta Bhuyan

PhD Student
Image Processing and Computer Vision Lab,
Advanced Technology Development Centre,
Indian Institute of Technology Kharagpur, West Bengal, India



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Biography

Sudipta Bhuyan has joined the Advanced Technology Development Centre of Indian Institute of Technology Kharagpur as a Ph.D. Research Scholar in 2016, under the supervision of Prof. Debashis Sen. Before that, she received an M. Tech degree in Communication Systems from VSSUT, Burla 2012 and a B. Tech degree in Applied Electronics and Instrumentation Engineering from SIT, Bhuabaneswarin 2009. She has a teaching experience of three and half years.

Her research interests cover Image processing, computer vision and deep learning, with special emphasis on Salient object detection. Specifically, she is dedicated to designing frameworks to model human visual selective attentions. She is also interested in exploring the application of these salient object detection models for robotic manipulation.

Selected Publications (More On Google Scholar)

  • Arxiv Pre-prints
  • Conference Papers
    • "Saliency based fast object localization and recognition for mechanical assembly." Sudipta Bhuyan, Debashis Sen, Sankha Deb. IEEE India Council International Conference (INDICON), 1-6. IEEE, 2018.   PDF Webpage
    • "Task level Planning and Implementation of Robotic Assembly Under Machine Vision Guidance." A Mishra,Sudipta Bhuyan, S Aggrarwal , Sankha Deb , Debashis Sen. 27th AIMTDR. 2016.   PDF Webpage
    • "Development of a flexible assembly system using industrial robot with machine vision guidance and dexterous multi-finger gripper." A Mishra , Sainul I Ansari , Sudipta Bhyan , Sankha Deb , Debashish Sen , A K Deb. Precision Product-Process Design and Optimization). 2017.   PDF Webpage
  • Journal Papers
    • "Structure‐aware multiple salient region detection and localization for autonomous robotic manipulation." Sudipta Bhuyan, Debashis Sen. IET Image Processing 16 (4), 1135-1161, 2021 .  Webpage New
    • "Tsallis entropy based optimal multilevel thresholding using cuckoo search algorithm Swarm and Evolutionary Computation." S Aggrarwal , R Panda , Sudipta Bhuyan, B K Panigrahi. Swarm and Evolutionary Computation 16, 16-30, 2013 .  Webpage New
    • "Edge magnitude based multilevel thresholding using Cuckoo search technique." S Aggrarwal , R Panda , Sudipta Bhuyan. Expert Systems with Applications 40 (18), 7617-7628, 2013 .  Webpage New

Education

  • PhD in Image Processing and Computer Vision   July 16 – Ongoing
    Indian Institute of Technology Kharagpur
    • Multi-sensory Robot Vision System for Manufacturing Industry Applications
    • Tools: Matlab, Python, PyTorch
    • Supervisor: Prof. Debashis Sen , Prof. Sankha Deb
  • Masters of Technology in Communication Systems   July 2014 - July 2016
    VSSUT, Burla
    • Thesis Title: Electrocardiogram Denoising using Wavelet and Empirical Mode Decomposition.
    • Proposed an electrocardiogram denoising technique to remove various noises from ECG signal.
    • Tools: Matlab
    • Supervisor: Prof. Gayadhar Pradhan
  • Bachelors of Technology in Applied Electronics and Instrumentation Engineering   July2009 - June 2013
    Silicon Institute of Technology, Bhubaneswar
    • Thesis Title: RFID based Automatic Attendance System.
    • Tools: Matlab

Experience

  • Graduate Researcher   Autumn 2014 – 2016
    National Institute of Technology Patna
    • Proposed an ECG denoising technique based on wavelet and emipirical mode decomposition.
  • Doctoral Research Student   Autumn 2016 – ongoing
    Indian Institute of Technology Kharagpur
    • Multi-sensory Robot Vision System for Manufacturing Industry Applications
  • Teaching Assistant   Autumn 2016 – ongoing
    Indian Institute of Technology Kharagpur
    • TA in Basic Electronics Laboratory (EC 29001) for 5 semesters (Spring 2018, Spring 2019, Spring 2020, Spring 2021, Autumn 2021).
      TA in Networks Laboratory (EC 29005) for 3 semesters (Autumn 2018, Autumn 2019, Autumn 2020).
    • TA in Digital Signal Processing and Applications (EC 60085).
      TA in Basic Electronics Theory (EC 21101) for 2 semesters (Spring 2018, Spring 2019).
      TA in Neural Networks and Applications (EC 60013) for 4 semesters (Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021).
      TA in Vision and Visualization (EC 61302) (Spring 2020).
      TA in Computer Vision (EC 60002) for 2 semesters (Spring 2021, Spring 2022).

Honors and Awards

  • Qualcomm Innovation Fellowship (QIF) India Winner June 2019
  • MHRD Fellowship for pursuing doctoral degree June 2016
  • PhD offers in IIT-KGP and IIT-Guwahati June 2016
  • MHRD Fellowship for pursuing masters degree June 2014
  • Qualify GATE Examination

    March 2013-2016
  • Got the scholarship under “CENTRAL SECTOR SCHEME OF SCHOLARSHIPS FOR COLLEGE AND
    UNIVERSITY STUDENTS” of MHRD.
    July 2009-June 2013

Professional Activities

  • Talks and Tutorials
    • Taught LabView tutorials for Short Term Course on "Machine Vision for Robot Applications in Manufacturing, 2022" (MVRAM '22) organised by Centre of Excellence in Advanced Manufacturing Technology (COEAMT), IIT Kharagpur.

    • Delivered a hands on session in the QIP short term course on "FUNDAMENTALS OF DIGITAL IMAGE AND VIDEO PROCESSING WITH 30D APPLICATIONS" Organised by Dept. of Mining Engineering, IIT Kharagpur (May, 2018).
      Course ID : QIP/AICTE/STC/17-18/MIN/125
  • Reviews
    • Journals: IET Image Processing; Circuits, Systems, & Signal Processing
  • Conference Attended
    • INDICON, IEEE, 2018
  • Internships and Courses Attended