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Prof. Dr. MADHU S. NAIR

Professor

Department of Computer Science

Cochin University of Science and Technology
Kochi - 682022, Kerala, India

E-mail-

msn@cusat.ac.in

Web Address

https://sites.google.com/site/msnair1979/



BRIEF BIO
Dr. Madhu S. Nair received his B.C.A. Degree from Mahatma Gandhi University with First Rank, M.C.A. Degree from Mahatma Gandhi University with First Rank and M.Tech.in Computer Science from University of Kerala with First Rank, in the years 2000, 2003, and 2008, respectively. He obtained his Ph.D. in Computer Science from Mahatma Gandhi University in the year 2013. He had also qualified UGC-NET Examination for Lectureship and GATE Examination conducted by IIT. He has published 120 research papers in reputed International Journals and Conference Proceedings published by IEEE, Springer, Elsevier, Wiley, IOS Press, etc. He is a Senior Member of IEEE, Senior Member of ACM, Associate Life Member of CSI, and Member of IAENG. He has received prestigious International and National Awards from different professional societies. His research interests include Digital Image Processing, Pattern Recognition, Computer Vision, Data Compression, Soft Computing, and Scientometrics.

RESEARCH INTERESTS
Computer Vision, Data Compression, Digital Image Processing, Machine Learning, Pattern Recognition, Scientometrics, Soft Computing

RESEARCH PROFILES
Publons : https://www.webofscience.com/wos/author/record/499689
Scopus : https://www.scopus.com/authid/detail.uri?authorId=24475038000
Google Scholar : https://scholar.google.co.in/citations?user=ZKbQ64wAAAAJ&hl=en

JOURNAL PUBLICATIONS (RECENT) [TOTAL PUBLICATIONS : 37]
  • PolySegNet: Improving Polyp Segmentation through Swin Transformer and Vision Transformer Fusion, Biomedical Engineering Letters, Springer Vol. 14, 2024

  • DNACoder: A CNN-LSTM Attention-based Network for Genomic Sequence Data Compression, Neural Computing and Applications, Springer Vol. 36, 2024

  • Dual Encoder-Decoder Shifted Window-Based Transformer Network for Polyp Segmentation with Self-Learning Approach, IEEE Transactions on Artificial Intelligence, IEEE Vol. 5, 2024

  • EfficientPolypSeg: Efficient Polyp Segmentation in Colonoscopy Images using EfficientNet-B5 with Dilated Blocks and Attention Mechanisms, Biomedical Signal Processing and Control, Elsevier Vol. 93, 2024

  • GenCoder: A Novel Convolutional Neural Network based Autoencoder for Genomic Sequence Data Compression, IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE Vol. 21, 2024

  • On the Automated unruptured Intracranial Aneurysm segmentation from TOF-MRA using Deep Learning Techniques, IEEE Access, IEEE Vol. 12, 2024

  • KSVM-based Fast Intra Mode Prediction in HEVC using Statistical Features and Sparse Autoencoder, IEEE Access, IEEE Vol. 12, 2024

  • RDD-Net: Retinal Disease Diagnosis Network - A Computer-Aided Diagnosis Technique using Graph Learning and Feature Descriptors, The Visual Computer, Springer Vol. 39, 2023

  • DRG-NET: A Graph Neural Network for Computer-Aided Grading of Diabetic Retinopathy, Signal, Image and Video Processing, Springer Vol. 16, 2022

  • On the Performance Analysis of Solving the Rubik’s Cube using Swarm Intelligence Algorithms, Applied Artificial Intelligence, Taylor & Francis Vol. 36, 2022

  • CONFERENCE PUBLICATIONS (RECENT) [TOTAL PUBLICATIONS : 17]
  • Classification on Compressed DNA Sequences: Correlation-Based Feature Extraction using Self-Supervised Learning, Eighth IEEE-EMBS Conference on Biomedical Engineering and Sciences - IECBES2024, 2024

  • TransNet: Advancing Colonoscopy Polyp Segmentation through Transformer Integration, Eleventh International Conference on e-Health and Bioengineering - EHB 2023 (Bucharest, Romania), Advances in Digital Health and Medical Bioengineering, IFMBE Proceedings, Vol. 111 , 0, 2024

  • Lossless DNA Sequence Compression: Exploring Spatial and Sequential Redundancies of DNA Sequence with 2-D CNN Autoencoder, IEEE International Conference on Electronics, Computing and Communication Technologies - IEEE CONECCT 2024 (Indian Institute of Science, Bangalore), 2024

  • Dual Encoder-Decoder U-Net Architecture for Polyp Segmentation in Colonoscopy Images with Shuffle Attention and Conditional Random Fields, IEEE International Conference on Electronics, Computing and Communication Technologies - IEEE CONECCT 2024 (Indian Institute of Science, Bangalore), 2024

  • Autoencoder-Assisted Feature-Type Distributed Clustering for Clinical and Biomedical Data Analysis, IEEE International Conference on Electronics, Computing and Communication Technologies - IEEE CONECCT 2024 (Indian Institute of Science, Bangalore), 2024

  • Self-supervised Animal Detection in Constrained Environment, First Workshop in Video Understanding and its Applications - VUA 2023, Thirty-Fourth British Machine Vision Conference - BMVC 2023, 2023

  • Tracking-by-Self Detection: A Self-supervised Framework for Multiple Animal Tracking, Nineteenth International Conference on Artificial Intelligence Applications and Innovations - AIAI 2023, IFIP Advances in Information and Communication Technology, Springer, Vol. 675 , 0, 2023

  • Deepfake Detection using Multi-path CNN and Convolutional Attention Mechanism, IEEE MYSURUCON 2022, 2022

  • On the Performance of CNN and GAN models for Melanoma Classification, Second International Conference on Artificial Intelligence and Signal Processing - AISP 2022, 2022

  • Multi-View Stereo using Cross-View Depth Map Completion and Row-Column Depth Refinement, Thirteenth International Conference on Digital Image Processing - ICDIP 2021, Vol. 11878 , 0, 2021

  • AWARDS AND HONOURS
  • Best Paper Award from Fourth International Symposium on Intelligent Systems Technologies and Applications, in the year 2018

  • Best Thesis Supervisor Award from IEEE Communications Society, Kerala and Bangalore Chapters, in the year 2019

  • Best Faculty of the Year Award from Computer Society of India (CSI), in the year 2019

  • AICTE Travel Grant Award from AICTE, in the year 2018

  • Innovative Student Projects Award 2009 from INAE, New Delhi, in the year 2009

  • Career Award for Young Teachers (CAYT) from AICTE, in the year 2013

  • Paper Presenter Award at International Conference from Computer Society of India (CSI), in the year 2013

  • IEI Young Engineers Award 2013-2014 from Institution of Engineers India (IEI), in the year 2014

  • Young Systems Scientist Award from System Society of India (SSI), in the year 2015

  • Distinguished Assistant Professor Award from Computer Society of India (CSI), in the year 2017

  • First Prize Winner in the PROSTATEx-2 Grand Challenge 2017 from American Association of Physicists in Medicine (AAPM), SPIE, NCI, in the year 2017

  • IETE - Smt. Manorama Rathore Memorial Award from The Institution of Electronics and Telecommunication Engineers (IETE), in the year 2017

  • Paper Presenter Award at International Conference from Computer Society of India (CSI), in the year 2018

  • Swami Vivekananda Yuva Prathibha Puraskaram 2017 from Kerala State Youth Welfare Board, Government of Kerala, in the year 2018

  • Kairali Gaveshana Puraskaram 2019-20 from Government of Kerala, in the year 2021

  • AICTE Visvesvaraya Best Teacher Award 2021 from All India Council for Technical Education (AICTE), in the year 2021

  • CUSAT Distinguished Young Faculty Award 2020 from Cochin University of Science and Technology, in the year 2021

  • Best Paper Award from Second IEEE International Conference on Artificial Intelligence and Signal Processing - AISP 2022, in the year 2022

  • DRDO Academy Excellence Award 2020 from Defence Research & Development Organisation (DRDO), in the year 2023

  • RESEARCH PROJECTS
  • "Design and Development of Adaptive Framework for Video Summarization" (Cochin University of Science and Technology- 2018 -2020 , Total outlay Rs.275000)

  • "International Network for Image-based Diagnosis" (The Research Council of Norway- 2021 -2024 , Total outlay Rs.45000000)

  • "Automated Validation of Aneurysm in Brain (AVAB) using Machine Learning Techniques" (Kerala State Higher Education Council (KSHEC)- 2022 --0001 , Total outlay Rs.2400000)