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Dr. Vipin V.

Assistant Professor, School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore

Qualification: M.Tech, Ph.D
v_vipin@cb.amrita.edu
ORCID ID
Google Scholar Profile
Research Interest: Biomedical Imaging and Image Processing, Biomedical Signal Processing, Machine Learning, Deep Learning, Skin Cancer Detection, Neural Networks, Wearable Biomedical Sensors and Systems

Bio Publications Qualification Positions Membership/ Associations Reviewers
Bio

Vipin V. completed his Ph. D. from the National Institute of Technology Puducherry, Karaikal – 609 609, India, specializing in the domain of Electronics and Communication Engineering. His research focus during his doctoral studies was on skin cancer diagnosis using deep learning framework. He holds a Bachelor of Technology in Electronics and Communication Engineering from Mahatma Gandhi University Kottayam, India, and a Master of Technology in Remote Sensing and Wireless Sensor Networks from Amrita Vishwa Vidyapeetham Coimbatore, India.

Vipin V’s academic journey is marked by a profound interest in cutting-edge technologies, particularly in the realms of AI and medical image processing. His expertise in these areas is demonstrated by his contributions to renowned international peer-reviewed journals and conferences, where he has published several impactful papers.

Publications

Journal Article

Year : 2024

A deep learning-based illumination transform for devignetting photographs of dermatological lesions

Cite this Research Publication : Vipin Venugopal, Malaya Kumar Nath, Justin Joshep, M. Vipin Das, "A deep learning-based illumination transform for devignetting photographs of dermatological lesions", Image and Vision Computing Elsevier (IF - 4.7, indexed in SCI), vol. 142, February 2024. https://doi.org/10.1016/j.imavis.2024.104909

Publisher : Elsevier

Year : 2023

Hybrid convolutional neural networks with SVM classifier for classification of skin cancer

Cite this Research Publication : Duggani Keerthana, Vipin Venugopal, Malaya Kumar Nath, Madhusudan Mishra, "Hybrid convolutional neural networks with SVM classifier for classification of skin cancer", Biomedical Engineering Advances: Elsevier, vol. 5. June 2023. https://doi.org/10.1016/j.bea.2022.100069

Publisher : Elsevier

Year : 2023

A deep neural network using modified EfficientNet for skin cancer detection in dermoscopic images

Cite this Research Publication : Vipin Venugopal, Navin Infant Raj, Malaya Kumar Nath, Norton Stephen, "A deep neural network using modified EfficientNet for skin cancer detection in dermoscopic images", Decision Analytics Journal: Elsevier (indexed in Scopus), vol. 8, September 2023. https://doi.org/10.1016/j.dajour.2023.100278

Publisher : Elsevier

Year : 2022

An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesions

Cite this Research Publication : Vipin Venugopal, Justin Joshep, M. Vipin Das, Malaya Kumar Nath, "An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesions", Computer Methods and Programs in Biomedicine: Elsevier (IF - 6.1, indexed in SCI), vol. 222, July 2022. https://doi.org/10.1016/j.cmpb.2022.106935

Publisher : Elsevier

Year : 2022

DTP-Net: A convolutional neural network model to predict threshold for localizing the lesions on dermatological macro-images

Cite this Research Publication : Vipin Venugopal, Justin Joshep, M. Vipin Das, Malaya Kumar Nath, "DTP-Net: A Convolutional Neural Network Model to Predict Threshold for Localizing the Lesions on Dermatological Macro-images", Computers in Biology and Medicine: Elsevier (IF - 7.7, indexed in SCI), vol. 148, September 2022.

Publisher : Elsevier

Conference Paper

Year : 2021

Detection of Melanoma using Deep Learning Techniques: A Review

Cite this Research Publication : V. Vipin, M. K. Nath, V. Sreejith, N. F. Giji, A. Ramesh and M. Meera, "Detection of Melanoma using Deep Learning Techniques: A Review," 2021 International Conference on Communication, Control and Information Sciences (ICCISc), 2021, pp. 1-8, https://doi.org/10.1109/ICCISc52257.2021.9484861

Publisher : IEEE

Year : 2015

A study on Solitons in Optical Communication Systems

Cite this Research Publication : Pe, M. George, S. Vasu and V. Vipin, "A study on solitons in optical communication systems," 2015 Annual IEEE India Conference (INDICON), 2015, pp. 1-6, https://doi.org/10.1109/INDICON.2015.7443469

Publisher : IEEE

Year : 2015

Application of residue number system in the generation of PN-sequences for CDMA systems

Cite this Research Publication : James, A. Pe, S. Vasu and V. Vipin, "Application of residue number system in the generation of PN-sequences for CDMA systems," International Conference on Computing and Network Communications (CoCoNet), 2015, pp. 670-674, https://doi.org/10.1109/CoCoNet.2015.7411261

Publisher : IEEE

Qualification

PhD

  • Year: 2021 – 2024
  • Specialization: Artificial Intelligence
  • Thesis title: Development of deep image-to-scalar regressors for quality enhancement and segmentation of dermatological macro-images

M. Tech.

  • Year: 2008 – 2010
  • Specialization: Remote sensing and wireless sensor networks
  • Thesis title: Image processing-based forest fire detection
Positions

Current Positions

  • Assistant Professor,
    Department of Computational Engineering and Networking (CEN),
    Amrita School of Artificial Intelligence,
    Amrita Vishwa Vidyapeetham
    From 07-09-2023 – Till date

Past Positions

  • Assistant Professor,
    Department of ECE, SJCET Palai,
    Kerala, India
    From 01-12-2011 to 15-02-2021
Membership/ Associations
  • ISTE Life Member-LM 90155
  • IEEE Member- 92515781, Region: R10 -Asia and Pacific, Section: Kerala Section
Reviewers

International Journals

  1. Computers in biology and medicine (IF: 7.7)
  2. Computer methods and programs in biomedicine (IF: 6.1)
  3. Computer vision and image understanding (IF: 4.5)
  4. Medical & biological engineering & computing (IF: 3.2)
  5. PeerJ – Computer science (IF: 2.410)
  6. Technology and health care (IF: 1.205)
  7. Decision analytics journal (Scopus)
  8. Neuroscience informatics (Scopus)

International Conferences

  1. 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece
  2. 2024 IEEE Conference on Artificial Intelligence (IEEE CAI 2024), Singapore, Singapore
  3. International Conference on E-Mobility, Power Control and Smart Systems 2024 (ICEMPS 2024), Thiruvananthapuram, India
  4. 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), Hong Kong
  5. The 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering, 2023, Tenerife, Canary Islands, Spain
  6. 2023 IEEE Congress on Evolutionary Computation (CEC), Chicago, USA
  7. 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), Florence, Italy
  8. International Conference on Computer Technology and Information Science (CTIS 2023), Wuhan, China
  9. First International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication, 2023, Karaikal, India
  10. 2022 IEEE Symposium Series On Computational Intelligence, Singapore
  11. 2022 IEEE World Congress on Computational Intelligence, Padua, Italy
  12. 2021 IEEE International Conference on Communication, Control and Information Sciences, Idukki, India
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