Vidwan-ID: 93107
Researcher ID: S-3943-2019
Scopus ID: 36537070400
Orcid ID: 0000-0001-5593-3949
57. ResCoWNet: A deep convolutional neural network with residual learning based on DT-CWT for despeckling Optical Coherence Tomography images, Elsevier Optik Journal, in press
56. Early Diagnosis of Alzhiemer’s Disease using Wavelet-Pooling based Deep Convolutional Neural Network, Springer sadhana Journal, in press.
55. Dual-scale CNN Architecture for Covid-19 Detection from Lung CT Images, Journal of Biomedical Engineering: Applications, Basis, and Communications, in press
54. Colorectal Polyp Detection in Colonoscopy Videos using Image Enhancement and Discrete Orthonormal Stockwell Transform, Springer sadhana Journal, 47:4, pp. 1-16, 2022.
53. Deep learning approaches based improved Light Weight U-Net with Attention module for optic disc segmentation, Springer Journal of Physical & Engineering Sciences in Medicine, pp. 1-12, 2022.
52. D-DAGNet: An improved hybrid deep network for automated classification of glaucoma from OCT Images, Journal of Biomedical Engineering: Applications, Basis, and Communications,
pp. 2250042, 2022.
51. Staircase-Net: A Deep Learning based Architecture for Retinal Blood Vessel Segmentation”, Springer-Sadhana Journal, 47:4, pp. 1-9, 2022.
50. Rich feature distillation with feature affinity module for efficient image dehazing, Elsevier Optik Journal, Vol. 267, pp. 169656, 2022.
49. An adaptive enhancement and fovea detection technique for colour fundus image analysis”, Springer Journal of Signal, Image, and Video Processing, pp. 1-8, 2022.
48. Despeckling of OCT images using DT-CWT based fusion technique”, Elsevier Optik Journal, Vol. 263, pp. 169332, 2022.
47. Classification of Age-related Macular Degeneration using DAG-CNN Architecture, Journal of Biomedical Engineering: Applications, Basis, and Communications, pp. 2250037, 2022.
46. Colorectal Polyp Detection Using Image Enhancement and Scaled YoloV4 Algorithm, Journal of Biomedical Engineering: Applications, Basis, and Communications, pp. 2250026, 2022.
45 Multi-scale Directed Acyclic Graph-CNN for automated classification of Diabetic Retinopathy from OCT Images, Journal of Biomedical Engineering: Applications, Basis, and Communications, pp. 2250025, 2022.
44. Ground-Based 4D Trajectory Prediction using Bi-Directional LSTM Networks, Springer Journal of Applied Intelligence, pp. 1-18, 2022.
43. Classification of Informative Frames in Colonoscopy Video Based on Image Enhancement and PHOG Feature Extraction, Journal of Biomedical Engineering: Applications, Basis, and Communications, pp. 2250015, 2022.
42. Automated Colorectal Polyp Detection Based on Image Enhancement and Dual-Path CNN Architecture, Elsevier Journal of Biomedical Signal Processing & Control, 73, pp. 103465, 2022.
41. Automated Polyp Detection in Colonoscopy Videos Using Image Enhancement and Saliency Detection Algorithm, Journal of Biomedical Engineering: Applications, Basis, and Communications, pp. 2250001, 2021.
40. Redundancy Reduced Depthwise Separable Convolution for Glaucoma Classification using OCT Images, Elsevier Journal of Biomedical Signal Processing & Control, vol. 71, pp. 103191, 2022.
39. Predictability Improvement of Scheduled Flights Departure Time Variation using Supervised Machine Learning, International Journal of Aviation, Aeronautics, and Aerospace, vol. 8, issue 2, pp. 9, 2021.
38. A Machine Learning-Based Approach to Predict Random Variation in Scheduled Flights Landing Time, International Journal of Sustainable Aviation, vol. 1245, pp. 755-766, 2021.
37. A novel multiscale and multipath convolutional neural network based age-related macular degeneration detection using OCT images, Elsevier Journal of Computer Methods and Programs in Biomedicine, vol. 209, pp. 106294, 2021.
36. An Automated Method to Detect Age-Related Macular Degeneration from Optical Coherence Tomographic Images, Journal of Biomedical Engineering: Applications, Basis, and Communications, Vol. 33, No.5, pp. 2150036-1-13, 2021.
35. Detection of Age-Related Macular Degeneration from OCT Images Using Double Scale CNN Architecture, Journal of Biomedical Engineering: Applications, Basis, and Communications, vol. 33, pp. 2150029, 2021.
34. Automated Detection of Age-related Macular Degeneration from OCT Images Using Multipath CNN, Journal of Computing Science and Engineering, vol. 15, issue 1, pp. 34-46, 2021.
33. Diabetic Retinopathy Classification Based on Multipath CNN and Machine Learning Classifiers, Springer Journal of Physical & Engineering Sciences in Medicine. vol. 44, issue 3, pp. 639-653, 2021.
32. Facial Expression Recognition Through Person-wise Regeneration of Expressions Using Auxiliary Classifier Generative Adversarial Network (AC-GAN) Based Model, Elsevier Journal of Visual Communication and Image Representation, vol. 77, pp. 103110, 2021.
31. A Novel Multiscale Convolutional Neural Network Based Age-related Macular Degeneration Detection using OCT Images, Elsevier Journal of Biomedical Signal Processing & Control, Vol. 67, pp. 102538, 2021.
30. Inception Single Shot Multi-Box Detector with Affinity Propagation Clustering and Their Application in Multi-Class Vehicle Counting, Springer Journal of Applied Intelligence, vol. 51, pp. 4714–4729, 2021.
29. Fast Approach for Moving Vehicle Localization and Bounding Box Estimation in Highway Traffic Videos, Springer Journal of Signal, Image, and Video Processing, vol.15, pp. 1041–1048, 2021.
28. OctNET: A Lightweight CNN for Retinal Disease Classification from Optical Coherence Tomography Images, Elsevier Journal of Computer Methods and Programs in Biomedicine, vol. 200, pp. 105877, 2021.
27. RPE layer detection and baseline estimation using statistical methods and randomization for classification of AMD from retinal OCT, Elsevier Journal of Computer Methods and Programs in Biomedicine, vol. 200, pp. 105822, 2021.
26. Prediction of Gate in Time of Scheduled Flights and Schedule Conformance Using Machine Learning-Based Algorithms, International Journal of Aviation, Aeronautics, and Aerospace, vol. 7(4), pp. 1-18, 2020.
25. A Lightweight CNN for Diabetic Retinopathy Classification from fundus Images, Elsevier Journal of Biomedical Signal Processing & Control, vol. 62, pp. 102115, 2020.
24. Pixel Matching Search Algorithm for Counting Moving Vehicle in Highway Traffic Videos, Springer Journal of Multimedia Tools & Applications, vol. 80, pp. 3153-3172, 2020.
23. Multi-class Diagnosis of Alzheimer’s Disease Using Cascaded Three Dimensional-Convolutional Neural Network, Springer Journal of Physical & Engineering Sciences in Medicine, vol. 43(4), pp. 1219-1228, 2020.
22 A Hybrid Feature Preservation Technique Based on Luminosity and Edge-Based Contrast Enhancement in Colour Fundus Images, Elsevier Journal of Biocybernetics and Biomedical Engineering, vol. 40, issue. 2, pp. 752-763, 2020.
21. Automated Binary and Multiclass Classification of Diabetic Retinopathy Using Haralick and Multiresolution Features, IEEE Access, 8, pp. 57497-57504, 2020.
20. Automated Classification of Diabetic Retinopathy Through Reliable Feature Selection, Springer Journal of Physical & Engineering Sciences in Medicine, vol. 43(3), pp. 927-945, 2020.
19. Automated Segmentation of Optic Disc Using Statistical Region Merging and Morphological Operations, Springer Journal of Physical & Engineering Sciences in Medicine, vol. 43(3), pp. 857-869, 2020
18. Performance Improvement of Air Traffic Flow Management Ground Delay Program Using Machine-Learning and Mixed Integer Linear Programming-Based Algorithm, International Journal on Emerging Technologies, Vol. 11, pp.1071-1081, 2020.
17. An Improved Luminosity and Contrast Enhancement Framework for Feature Preservation in Colour Fundus Images”, Springer Journal of Signal, Image and Video Processing, vol. 13, pp 719–726, June 2019.
16. Accurate Heart Rate Monitoring Method During Physical Exercise from Photo Plethysmography Signal, IEEE Sensors Journal, vol. 19, pp. 2298 – 2304, 2019.
15. Brain MR Kurtosis Imaging Study: Contrasting Gray and White Matter, Elsevier Journal of Cognitive Systems Research, vol. 55, pp. 135-145, 2019
14. Development of an Efficient Algorithm for the Detection of Macular Edema from Optical Coherence Tomography Images, Springer Journal of Computer Assisted Radiology and Surgery, vol. 13, pp. 1369-1377, 2018.
13. Combination of Clinical and Multiresolution Features for Glaucoma Detection and Its Classification Using Fundus Images, Elsevier Journal of Biocybernetics and Biomedical Engineering, vol. 38, pp. 329-341, 2018.
12. PCA Based Localization Approach for Segmentation of Optic Disc, Springer Journal of Computer Assisted Radiology and Surgery, vol. 12(12), pp. 2195-2204, 2017.
11. Vehicle Vibration Signal Processing for Road Surface Monitoring, IEEE-Sensors Journal, vol.17, issue 16, pp. 5192-5197, 2017.
10. Analog CMOS Implementation of FFT Using Cascode Current Mirror, Elsevier Microelectronics Journal, vol. 60, pp. 30-37, February 2017.
09. A Sparsity-Based Iterative Algorithm for Reconstruction of Micro-CT Images from Highly Undersampled Projection Datasets Obtained with a Synchrotron X-ray Source, Review of Scientific Instruments, vol. 87, pp.123701, 2016.
08. Iterative Computed Tomography Reconstruction from Sparse-View Data, Journal of Medical Imaging Health Informatics, vol. 6, pp.1-13, 2016.
07. A Floating Gate MOSFET Based Novel Programmable Current Reference, International Journal of Electrical, Robotics, Electronics and Communications Engineering, vol. 8, no. 6, 2014.
06. Image Resolution Enhancement Using Undecimated Double Density Wavelet Transform, Signal Processing: An International Journal (SPIJ), vol. 8, issue. 4, 2014.
05. Multiple Regularization Based MRI Reconstruction, Elsevier Signal Processing, vol. 103, pp. 103-113, 2014.
04. MR Image Reconstruction Based on Nonlocal Total Variation and Framelets Using Split Bregman Method, Springer Journal of Computer Assisted Radiology and Surgery, vol. 9, issues-3, pp. 459-472, 2014.
03. Micro-CT Image Reconstruction Based on Alternating Direction Augmented Lagrangian Method and Total Variation, Elsevier Journal of Computerized Medical Imaging and Graphics, vol. 37, issue-7-8, pp. 419-429, 2013.
02. MR Image Reconstruction Based on Iterative Split Bregman Algorithm and Nonlocal Total Variation, Journal of Computational and Mathematical Methods in Medicine, vol. 2013, 2013.
01. Capsule Endoscopic Image Denoising Based on Double Density Dual-Tree Complex Wavelet Transform, International Journal of Imaging and Robotics, vol. 9, Issue 1, 2012.
30. Early diagnosis of Alzheimer’s disease using multiscale and multipath convolutional neural network, Hinweis International Conference on Computer Science, Cyber Security and Information Technology (CCIT), in press.
29. RepAr-Net: Re-Parameterized Encoders and Attentive Feature Arsenals for Fast Video Denoising, IEEE International Conference on Robotics & Automation (ICRA 2022), pp. 633-639, 2022.
28. A Dual-Path CNN Based Age-Related Macular Degeneration Detection, Fourth IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT 2021), pp. 1-6, 2021.
27. Person Detection, Tracking and Following in a Differential Drive Mobile Robot, International Conference on Intelligent Technologies 2021, pp. 1-6, 2021.
26. A Neural Network Based Optic Disc Segmentation, IEEE Sixth International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), pp. 297-302, 2021.
25. Multi-class Classification of Alzheimer’s Disease Using 3DCNN Features and Multilayer Perceptron, IEEE Sixth International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), pp. 368-373, 2021.
24. Classification of Mild Cognitive Impairment and Alzheimer’s Disease from Magnetic Resonance Images Using Deep Learning, 5th IEEE International conference on recent trends in electronics, information & communication technology, pp. 52-57, 2020.
23. Dorsal Hand Vein Biometric Recognition Based on Orientation of Local Binary Pattern, IEEE HYDCON 2020: International Conference on Engineering in 4th Industrial Revolution, pp. 1-6, 2020.
22. Moving Vehicle Candidate Recognition and Classification Using Inception-ResNet-v2, COMPSAC 2020: International Computer Software and Applications Conference, pp. 467-472, 2020.
21. Pothole and Speed Bump Classification Using a 5-Layer Simple Convolutional Neural Network, International Conference on Recent Trends in Machine Learning, IoT, Smart Cities & Applications (ICMISC 2020), pp. 491-499, 2021.
20. A Machine Learning-Based Approach for Prediction of Actual Landing Time of Scheduled Flights, International Conference on Recent Trends in Machine Learning, IoT, Smart Cities & Applications (ICMISC 2020), pp. 755-766, 2021.
19. An Automated Method of Optic Disc Detection from Retinal Fundus Images, 2019 International Conference on Contemporary Computing and Informatics (IC3I), pp. 111-116, 2019.
18. Gopinath Palanisamy, Palanisamy Ponnusamy, Varun P. Gopi, “An Adaptive Enhancement Method for Low Contrast Color Retinal Images Based on Structural Similarity, IEEE International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET-2018), pp. 1-4, 2018.
17. Identification of Ayurvedic Medicinal Plants by Image Processing of Leaf Samples, 2017 Third IEEE International Conference on Research in Computational Intelligence and Communication Networks, pp. 231-238, 2017.
16. Low-Complexity CFO Compensation Technique for Uplink OFDMA, International conference on signal processing, communication Power and embedded systems (SCOPES-16), pp. 918-923, 2016.
15. Undecimated Complex Wavelet Transform based Bleeding Detection for Endoscopic Images, International Conference on Cognitive Computing and Information Processing 2016 (CCIP 16), pp. 1-6, 2016.
14. A Novel Method for Bleeding Detection in Wireless Capsule Endoscopic Images, 2015 International Conference on Computing and Network Communications (CoCoNet), pp. 854-858, 16-19 Dec. 2015.
13. Colon Cancer Detection Based on Structural and Statistical Pattern Recognition, IEEE International Conference on Electronics and Communication Systems (ICECS’15), pp. 1735 -1739, 26-27 Feb. 2015.
12. A New Method for Ulcer Detection in Endoscopic Images, IEEE International Conference on Electronics and Communication Systems (ICECS’15), pp. 1725-1729, 26-27 Feb. 2015.
11. Transform Based Bleeding Detection Technique for Endoscopic Images, IEEE International Conference on Electronics and Communication Systems (ICECS’15), pp. 1730-1734, 26-27 Feb. 2015.
10. Image Security Using DES and RNS with Reversible Watermarking, IEEE International Conference on Electronics and Communication Systems (ICECS-2014), pp. 1-5, 2014.
09. A Novel Programmable Current Reference with FGMOSFETs, Proceedings of the 2014 International Conference on Circuits, Systems and Control (CSPC’14), pp. 96-99, 2014.
08. A Novel Wavelet-Based Denoising Algorithm Using Level-Dependent Thresholding, IEEE International Conference on Electronics and Communication Systems (ICECS’14), pp. 1-6, 2014.
07. Regularization Based CT Image Reconstruction Using Algebraic Techniques, IEEE International Conference on Electronics and Communication Systems (ICECS’14), pp. 1-3, 2014.
06. Undecimated Double Density Dual-Tree Wavelet Transform Based Image Denoising Using Subband Adaptive Thresholding, IEEE International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT’14), pp. 743-748, 2014.
05. Image Denoising Based on Undecimated Double Density Dual-Tree Wavelet Transform and Modified Firm Shrinkage, 2nd IEEE International Conference on Advanced Computing, Networking and Security (ADCONS’13), pp. 68-73, 2014.
04. Iterative Method for CT Image Reconstruction from Reduced Number of Projection Views, 26th Annual IEEE Canadian Conference on Electrical and Computer Engineering (CCECE’13), pp. 1-4, 2013.
03. CT Image Reconstruction Based on Combination of Iterative Reconstruction Technique and Total Variation, IEEE International Conference of Signal Processing, Image Processing and Pattern Recognition (ICSIPR’13), pp. 49-52, 2013.
02.. Endoscopic Image Compression Based on Double Density Discrete Wavelet Transform and SPIHT Coding, IEEE International Conference on Control System, Computing and
Engineering (ICCSCE), pp. 466-471, Nov. 2011.
01. Scaling Issues in IDDG FinFET at Small Gate Length, Proc. of 3rd IEEE International Conference on Information Sciences and Interaction Sciences, Chengdu, China, pp. 683-687, June 2010.
1. MR Image Enhancement using Dual-Tree Complex Wavelet Transform, National Conference on Systems Energy and Environment (NCSEE), September 2015.
2. Total Variation Based CT Image Reconstruction using Iterative Techniques, Proc. of 4th National Technological Congress, Feb. 2014.
3. Security of an Image using Reversible Watermarking with RNS, Proc. of 4th National Technological congress, Feb. 2014.
4. Independently Driven Double gate FinFET Scalable to 10 nm, Proc. of 10th National Conference on Technological Trends, pp. 319−324, Nov. 2009.
|
Title of Project |
Funding Agency |
Duration |
Amount & Status |
|
Development of Efficient Algorithms for Detecting Eye Diseases |
CERD-APJAKTU Trivandrum, Kerala |
6-01-17 to 25-05-18 |
(7.5 Lakhs) Completed |
|
Developed Efficient Traffic Monitoring Methods & Under Vehicle Scanning Inspection System |
VANDI Technologies PTE LTD, Singapore |
01-12-18 to 30-11-21 |
(40 Lakhs) Completed |
|
Automated Prediction of Alzheimer’s disease from Optical Coherence Tomography Images of Retina using Artificial Intelligence |
SERB |
02-03-19 to 01-03-22 |
(19.48 Lakhs) Completed |
|
4D Trajectory-based Air Traffic Flow Management System using System Wide Information Management (4DADFMS) |
Airport Authority of India |
19-11-20 to 15-10-22 |
(11.5 Lakhs) Completed |
|
Machine Learning/Artificial Intelligence (ML/AI) Hardware/Software Framework for Vyomnoids |
Indian Space Research Organisation (ISRO) |
06-09-21 to 05-09-24 |
(49.55 Lakhs) Ongoing |
| Sl. No |
Name of the Ph.D. Scholar |
Title of Ph.D. Thesis |
Status |
| 1 |
Gayathri S. |
Machine Learning Algorithms for Detection and Classification of Diabetic Retinopathy |
Completed- 2021 |
| 2 |
Harikrishnan P. M. |
Development of Real-time and Accurate Computer Vision Algorithms for Intelligent Traffic Monitoring |
Completed- 2022 |
| 3 |
Sunija A. P. |
Deep Learning-Based Retinal Disease Detection from Optical Coherence Tomography Images |
Completed- 2022 |
| 4 |
Nisha J. S. |
Colorectal Polyp Detection Based on Machine Learning & Deep Learning Approaches |
Completed- 2022 |
| 5 | Nija K. S. |
Design, Implementation, and Analysis of Methods for Localization and Segmentation of Optic Disc in Retinal Fundus Images |
Completed- 2023 |
| 6 |
Manu Raju |
Machine Learning Techniques for Detection of Alzheimer's from MRI Images |
Thesis Submitted |
| 7 |
Sabi S. |
Design & Development of Deep Learning Models for the Detection and Grading of AMD from Retinal OCT Images |
Ongoing |
| 8 |
R. Shalini |
Segmentation and Localization of Optic Disc and Fovea from Diabetic Retinopathy Images |
Ongoing |
| 9 |
Arun P. S. |
Development of Efficient Algorithms to Despeckle Retinal OCT Images |
Ongoing |
| 10 | Akshay Raj M. R. | Hardware Implementation of Object Detection and Navigation Algorithms for Vyomnoid | Ongoing |
| 11 | Nisan Pranavah Raja | Diabetic Retinopathy Detection from OCT Angiography using Deep Learning | Ongoing |
| 12 | Muthukumar B. | Hardware Implementation of Deep CNN Networks for Medical Image Processing | Ongoing |
|
Postgraduate Thesis Guidance |
44 Completed |
3 Ongoing |
|
Undergraduate Project Guidance |
13 Completed |
3 Ongoing |
|
Author(s) |
Title of Book/Monograph |
Name of Publishers |
Year of Publication |
|
Dr. V Suresh Babu, Dr. Varun P. Gopi |
Basics of Electronics Engineering |
OWL Publishers |
2015 |
|
Dr. V Suresh Babu, Dr. Varun P. Gopi |
Introduction to Electronics Engineering |
OWL Publishers |
2015 |
06. S. A. Ramamoorthy and Gopi, Varun P, “Breast ultrasound image processing,” in Research Anthology on Medical Informatics in Breast and Cervical Cancer, IGI Global, 2023, pp. 586–609
05. A. Avinash, P. Biju, P. Premanath, A. Thomas, and Gopi, Varun P, “An improved method for automated detection of microaneurysm in retinal fundus images,” in Edge-of-Things in Personalized Healthcare Support Systems, Elsevier, 2022, pp. 173–186.
04. S. V. Sanker, N. B. R. S. Bilakanti, A. Thomas, Gopi, Varun P, and P. Palanisamy, “Emotion-recognition-based music therapy system using electroencephalography signals,” in Edge-of-Things in Personalized Healthcare Support Systems, Elsevier, 2022, pp. 217–235.
03. A. Thomas, P. Harikrishnan, and Gopi, Varun P, “Funnet: A deep learning network for the detection of age-related macular degeneration,” in Edge-of-Things in Personalized Healthcare Support Systems, Elsevier, 2022, pp. 157–172.
02. Gopi, Varun P, “Brain tissue segmentation to detect schizophrenia in gray matter using mr images,” in Handbook of Decision Support Systems for Neurological Disorders, Elsevier, 2021, pp. 21–32.
01. Gopi, Varun P, P. Palanisamy, and S. I. Niwas, “Capsule endoscopic colour image denoising using complex wavelet transform,” in Communications in Computer and Information Science, Springer, 2012, pp. 220–229.
|
S.No |
Name of Award |
Awarding Agency |
Year |
|
1. |
M. Tech. Fellowship (GATE) |
MHRD, Govt. of India |
October 2007-October 2009 |
|
2. |
Ph.D. Fellowship |
MHRD, Govt. of India |
August 2010-October 2013 |
|
3. |
Canadian Commonwealth Scholarship |
Government of Canada |
Feb-July 2012 |
|
4. |
APJ Abdul Kalam Kerala Technological university “Researcher of The Year-2016” |
Government of Kerala |
January 2017 |
Associate Editor- Springer Journal of Physical & Engineering Sciences in Medicine (SCI, Impact Factor-7.09)
1. Wangchuk Doma, Ophthalmologist/Eye Surgeon, Venu Eye Institute and Research Centre, New Delhi, India.
2. Dr. S Sujatha, Institute of Ophthalmology, Joseph Eye Hospital, Tiruchirappalli, Tamilnadu, India.
3. Fr. Varghese Palatty, Assistant Director, Little Flower Hospital and Research Centre, Angamaly, Kerala, India.
4. Dr. Rajith K Ravindren, Assistant Professor, Department of Clinical Psychology, Institute of Mental Health & Neuro Sciences (IMHANS), Kozhikode, Kerala, India.
5. Dr. Jayaraj U. Kidav, Scientist-D, Smart Technology and Education (STED), NIELIT Calicut, Kerala, India.
1. Dr. Ebrahim Bedeer Muhamed, Assistant Professor, Department of Electrical and Computer Engineering, University of Saskatchewan, Canada
2. Dr. Khan A. Wahid, Professor, Department of Electrical and Computer Engineering, University of Saskatchewan, Canada
3. Dr. Issac Niwas S, Research Manager, Emirates Advanced Research & Technology Holding (EARTH), Abu Dhabi, UAE.
4. Dr. T. Kirubarajan, Professor and Distinguished Engineering Professor, Electrical and Computer Engineering Department (ITB-A112), McMaster University, Canada
5. Dr. Alex Noel Joseph Raj, Professor, Department of Electronics and Information Engineering, Shantou University, China.
6. Prof. Makhan Raj Sharma, Professor, School of Computing & Digital Technology, Birmingham City University, UK.
1. Department Time Table Co-ordinator- June 2018-till date
2. Department MIS Co-ordinator- June 2018-till date
3. Staff Advisor-PG- January 2019-till date
4. Faculty In Charge-Music Club of NITT- January 2019-June 2021
5. Member Ph.D. Admission Committee- June 2018-December 2020
1. Member-PG Board of studies, Kannur University, Kerala 2018 to till date
2. Academic Council Member- Kamaraj College of Engineering and Technology, Virudhunagar, Madurai.
1. 5-Days Online Workshop on FPGA-Based SoC Design Targeted for Implementing AI/ML Algorithms during 27-31 December 2021.
2. SERB Sponsored Karyashala High-End Workshop on Biomedical Signal & Image Processing: A hands-on Approach during 22-28 August 2022.
3. SERB Sponsored Karyashala High-End Workshop on Hardware Implementation of Machine Learning and Deep Learning Algorithms using FPGA:
A Hands-On Approach during 05-11 December 2022.
|
SL. No. |
Topic |
Date |
Inviting Organization |
|
1 |
Sparsity in Signal Processing |
17-03-2014 |
Government Engineering College Calicut |
|
2 |
MATLAB: Concept and Programming |
12-02-2015 |
Younus College of Engineering, Kollam Kerala |
|
3 |
Research Methodology |
26-01-2015 |
Government Engineering College Calicut, Kerala |
|
4 |
Sparsity in Signal Processing |
18-08-2015 |
Government Engineering College Kannur, Kerala |
|
5 |
Compressed Sensing |
23-09-2015 |
College of Engineering Thalassery, Kerala |
|
6 |
Data Mining With MATLAB |
18-08-2016 |
Government Engineering College Sreekrishnapuram, Palakkad, Kerala |
|
7 |
Application of Signal Processing |
24-11-2016 |
College of Engineering Kidangoor, Kerala |
|
8 |
Medical Image Processing |
03-02-2017 |
Government Engineering College Sreekrishnapuram, Palakkad |
|
9 |
Image Processing in Medical Field |
21-02-2017 |
Government Engineering College Sreekrishnapuram, Palakkad, Kerala |
|
10 |
Sparse Signal Processing |
01-03-2017 |
LBS College of Engineering, Kasargod, Kerala |
|
11 |
Mathematical Modelling in Medical Diagnosis |
21-09-2017 |
Mahendra College of Engineering, Salem, Tamilnadu |
|
12 |
Introduction to Electronic Circuits |
23-10-2018 |
Kalasalingam University Madurai |
|
13 |
Medical Image Processing |
01-01-2019 |
Rajadhani College of Engg. Trivandrum |
|
14 |
Recent Trends in Biomedical Image Processing |
24-06-2019 |
CSE Department, TKM College of Engineering |
|
15 |
Deep Learning in Medical Image Processing and Analysis |
22-08-2019 to 23-08-2019 |
SRM University Chennai |
|
16 |
Research Avenues in Signal Processing |
19-09-2019 |
Sree Chitra Thirunal College of Engineering, Trivandrum |
|
17 |
Agriculture Intelligence |
09-03-20 |
NSN Engineering College Karur |
|
18 |
Exploring the Nuances of Deep Learning for Research Applications-A Deeper Experience |
15-07-20 |
Karunya University Coimbatore |
|
19 |
Artificial Intelligence in Healthcare |
19-07-20 |
Kumaraguru College of Technology, Coimbatore |
|
20 |
Machine learning Algorithms for medical image processing |
04-08-20 |
Velalar College of engineering & technology, Erode |
|
21 |
Machine Learning & Deep Learning |
15-06-20 |
Sahrdaya College of engineering, Kerala |
|
22 |
Introduction to Artificial Intelligence |
22-09-20 |
NIT Puducherry |
|
23 |
Overview of Deep Learning and its Applications in healthcare |
28-10-20 |
Sreenivasa Institute of Technology and Management Studies |
|
24 |
Medical Image Processing |
07-11-20 |
Saveetha Engineering College Chennai |
|
25 |
Internet of Medical Things |
23-11-20 |
IIIT Trichy |
|
26 |
Deep Learning For Medical Image Analysis |
07-12-20 |
Velammal Institute of technology, Chennai |
|
27 |
Deep Learning for Medical Image Analysis |
14-12-20 |
K. J. Somaiya Institute of Engineering and Information Technology, Mumbai. |
|
28 |
Medical Image Processing |
18-12-20 |
Saveetha Engineering College Chennai |
|
29 |
Deep Learning For Medical Image Analysis |
19-12-20 |
Velammal Institute of technology, Chennai |
|
30 |
Regression and Clustering for IoT data |
30-12-20 |
St. Joseph’s College of Engineering, Palai, Kerala |
|
31 |
Deep Learning For Medical Image Analysis |
09-01-21 |
Velammal Institute of technology, Chennai |
|
32 |
Deep Learning For Medical Image Processing |
11-01-21 |
Mar Baselios College of Engineering And Technology, Trivandrum, Kerala |
|
33 |
IoT for medical Signal & Image Processing |
12-01-21 |
Amal Jyothi College of Engineering, Kanjirappally, Kerala |
|
34 |
Medical Image Processing |
22-01-21 |
Saveetha Engineering College Chennai |
|
35 |
Biomedical Image Processing |
10-08-21 |
College of Engineering Perumon, Kerala |
|
36 |
Introduction to Wavelets and Its Applications |
11-08-21 |
Al-Ameen College Edathala, Kerala |
|
37 |
Introduction to Machine Learning |
12-08-21 |
St. Joseph’s College of Engineering, Palai, Kerala |
|
38 |
Alzheimer's Disease and Related Dementias |
13-08-21 |
College of Engineering Perumon, Kerala |
|
39 |
Deep Learning for Medical Image Analysis / Processing |
10-09-21 |
Sree Chitra Thirunal College of Engineering, Trivandrum, Kerala |
|
40 |
Introduction to Machine & Deep Learning |
03-12-21 |
R. M. K. College of Engineering, Kavaraipettai |
|
41 |
Fundamentals of Image Processing |
07-02-22 |
SRM University Chennai |
|
42 |
Introduction to Machine Learning |
28-03-22 |
CVR College of Engineering, Telangana |
|
43 |
AI in Medical Imaging and IoT |
26-04-22 |
K.Ramakrishnan College of Technology, Trichy |
|
44 |
Deep Learning for Medical Image Processing |
11-05-22 |
Karunya University, Coimbatore |
|
45 |
Biomedical Image Processing |
04-07-22 |
Government College of Engineering, Salem |
| 46 | Reinforcement Learning | 03-02-23 | Government College of Engineering Kannur, Kerala |
| 47 | Deep Leraning for Data Analytics | 26-03-23 | NIT Calicut |
| 48 | The Role of Medical Image Computing and Machine Learning in Healthcare | 28-03-23 | SSN College of Engineering, Chennai |
| 49 | Application of ML and DL Techniques for Energy Systems | 25-04-23 | School of Engineering, CUSAT |
| 50 | Introduction to Deep Learning and Its Application in Medical Image Processing | 26-04-23 | Dr. Mahalingam College of Engineering & Technology, Pollachi |
1. IEEE Transactions on Industrial Electronics
2. IEEE Signal Processing Letters
3. Journal of Visual Communication and Image Representation
4. IET Image Processing
5. Elsevier Biocybernetics & Biomedical engineering
6. Journal of Intelligent Systems
7. Journal of Inverse and Ill-Posed Problems
8. The Anatolian Journal of Cardiology
9. IEEE Transactions on Medical Imaging
10. IEEE Sensors Journal
11. International Journal of Computer Assisted Radiology and Surgery
12. Elsevier Signal Processing
13. IEEE Journal of Biomedical and Health Informatics
14. Elsevier Microelectronics Journal
15. Inverse Problems in Science & Engineering
16. IETE Journal of Research
17. BioMedical Engineering OnLine
18. Springer Journal of Signal, Image and Video Processing
19. Elsevier Journal of Computers and Electrical Engineering
20. Elsevier Journal of Visual Communication and Image Representation
21. Wiley Electronic Letters
22. Elsevier Journal of Biomedical Signal Processing & Control
23. Elsevier Journal of Computer Methods and Programs in Biomedicine
24. Elsevier Journal of Computers in Medicine & Biology
25. Springer Journal of Physical & Engineering Sciences in Medicine
26. Interdisciplinary Sciences: Computational Life Sciences
27. Journal of Biomedical Engineering: Applications, Basis and Communications
28. IEEE Transactions on Industrial Informatics
29. Trends in Computer Science and Information Technology
30. IEEE Access
31. Annals of Alzheimer’s and Dementia Care
32. Journal of Engineering in Medicine
33. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
34. Springer Journal of Soft Computing
35. Journal of International Medical Research
36. IEEE Internet of Things Journal
37. Egyptian Informatics Journal
38. BMC Medical Informatics and Decision Making
39. IEEE Transactions on Systems, Man and Cybernetics: Systems
40. Springer Nature Computer Science
41. IEEE Transactions on Geoscience and Remote Sensing
42. Journal of Computational and Mathematical Methods in Medicine
43. Elsevier Digital Signal Processing
44. International Journal of Imaging Systems and Technology
45. Journal of Biomedical Engineering: Applications, Basis, and Communications
46. Sadhana
https://scholar.google.co.in/citations?user=w_u13MEAAAAJ&hl=en
https://nitt.irins.org/profile/93107
Assistant Professor Grade-I
Room No: 320&309
Department of Electronics and Communication Engineering,
National Institute of Technology,
Tiruchirappalli - 620 015, Tamil Nadu.
Telephone: +91-431-2504495,4501
Mobile: +919995114547
E-mail: varun@nitt.edu, vpgnitt@gmail.com
