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Vinitha J. Panicker

Assistant Professor (Sr. Gr.), School of Computing, Amritapuri

Qualification: B. Tech., M.Tech.
vinithapanicker@am.amrita.edu
Scholar ID
Research Interest: Medical Image Analysis , Deep Learning , Computer Vision , Digital Image Processing , Machine Learning

Bio Publications Qualification Awards / Achievements Courses Taught
Bio

Vinitha J. Panicker currently serves as an Assistant Professor (Sr. Gr.) and Vice-Chair CSE (Year I & II) at the School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri. She has completed M. Tech. in Computer Science and Engineering with specialization in Digital Image Computing with First Rank from Kerala University. She has 12 years and 8 months of academic experience.

 

Publications

Conference Paper

Year : 2018

Lung Nodule Classification Using Deep ConvNets on CT Images

Cite this Research Publication : H. Sathyan and Vinitha Panicker J, “Lung Nodule Classification Using Deep ConvNets on CT Images”, in 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Bangalore, India, 2018

Publisher : 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IEEE, Bangalore, India.

Year : 2017

Shadow removal from single image using color invariant method

Cite this Research Publication : A. Krishnan, Jayadevan, P., and Vinitha Panicker J, “Shadow removal from single image using color invariant method”, in 2017 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2017.

Publisher : 2017 International Conference on Communication and Signal Processing (ICCSP)

Year : 2017

Enhancing adaptive huffman coding through word by word compression for textual data

Cite this Research Publication : D. Dath and Vinitha Panicker J, “Enhancing adaptive huffman coding through word by word compression for textual data”, in 2017 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2017

Publisher : 2017 International Conference on Communication and Signal Processing (ICCSP)

Year : 2017

BusTimer: An android based application for generating bus schedules using crowdsourcing

Cite this Research Publication : S. Sandheep, John, H., Harikumar, A., and Vinitha Panicker J, “BusTimer: An android based application for generating bus schedules using crowdsourcing”, in 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy), Kollam, India, 2017

Publisher : 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy)

Year : 2015

DocTool – a tool for visualizing software projects using graph database

Cite this Research Publication : A. Sadar and Vinitha Panicker J, “DocTool - a tool for visualizing software projects using graph database”, in 2015 Eighth International Conference on Contemporary Computing (IC3), Noida, India , 2015

Publisher : 2015 Eighth International Conference on Contemporary Computing (IC3)

Year : 2010

Detection of moving cast shadows using edge information

Cite this Research Publication : Vinitha Panicker J and Wilscy, M., “Detection of moving cast shadows using edge information”, in 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE), Singapore, Singapore, 2010

Publisher : 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE)

Conference Proceedings

Year : 2022

Deep Convolutional Neural Networks for Multiclass Cervical Cell Classification

Cite this Research Publication : M. C. P. Archana and J. V. Panicker, "Deep Convolutional Neural Networks for Multiclass Cervical Cell Classification," 2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET), Chennai, India, 2022, pp. 376-380, doi: 10.1109/WiSPNET54241.2022.9767129.

Publisher : IEEE

Year : 2022

Deep Learning Based Model for Multi-class Classification of Cervical Cells Using Pap Smear Images

Cite this Research Publication : S. Nayar, J. Vinitha Panicker and J. J. Nair, "Deep Learning Based Model for Multi-class Classification of Cervical Cells Using Pap Smear Images," 2022 IEEE 7th International conference for Convergence in Technology (I2CT), Mumbai, India, 2022, pp. 1-6, doi: 10.1109/I2CT54291.2022.9825187.

Publisher : IEEE

Year : 2022

Cervical Cell Nuclei Segmentation On Pap Smear Images Using Deep Learning Technique

Cite this Research Publication : Alisha, S., and Vinitha Panicker. "Cervical Cell Nuclei Segmentation On Pap Smear Images Using Deep Learning Technique." 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT). IEEE, 2022

Publisher : IEEE

Year : 2021

Kavach: A Machine Learning based approach for enhancing the attack detection capability of firewalls

Cite this Research Publication : K. Aswal, A. Rajmohan, A. TRC, S. Mukund, V. J. Panicker and J. P. Dhivvya, "Kavach: A Machine Learning based approach for enhancing the attack detection capability of firewalls," 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2021, pp. 1-5, doi: 10.1109/ICCCNT51525.2021.9579836.

Publisher : IEEE

Year : 2021

Detecting and Rectifying Adversarial Images Dealt by Deep Learning Models

Cite this Research Publication : S. Dhanya and J. Vinitha Panicker, "Detecting and Rectifying Adversarial Images Dealt by Deep Learning Models," 2021 5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT), Mysuru, India, 2021, pp. 657-661, doi: 10.1109/ICEECCOT52851.2021.9708004.

Publisher : IEEE

Year : 2020

Analysis and Characterization of Plant Diseases using Transfer Learning

Cite this Research Publication : S. Bhimavarapu and P. J. Vinitha, "Analysis and Characterization of Plant Diseases using Transfer Learning," 2020 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2020, pp. 1293-1296, doi: 10.1109/ICCSP48568.2020.9182451.

Publisher : IEEE

Qualification

M.Tech CSE Specialization in Digital Image Computing ( Kerala University ) 2009

B.Tech IT ( Calicut University ) 2005

Awards / Achievements

Secured First Rank for M.Tech. in Computer Science and Engineering Kerala University in 2009

Courses Taught
  1. Deep Learning for Computer Vision, 2022,B.Tech (S5 CSE)
  2. Neural Networks and Deep Learning, 2022, B.Tech (S5 EEE &ELC)
  3. Operating Systems, 2022, B.Tech. (S4 CSE)
  4. Fundamentals of Data Structures, 2021 (S2 CSE)
  5. Computer Systems Essentials, 2021 (S1 CSE)
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