Research and Academic Activities
Research and academic activities
Research activities
Thesis Guidance:
Ph.D. Awarded (9 Nos.)
1. Dr. Smitha A.
Title: Retinal disorders detection and analysis from Fundus and Optical Coherence Tomography Images using Deep Learning Models,
Duration: 2018-2022.
Status: Awarded in May. 2022.
Present Occupation: Sr. Research Scientist, Niramai Technologies, Bangalore
2. Dr. Febin I. P.
Title: Perceptually inspired variational retinex methods for enhancing and restoring images,
Duration: 2018-2021
Status: Awarded in Jan, 2021.
Present Occupation: PDF at NITK
3. Dr. Shivarama Holla K.
Title of the thesis: REGULARIZATION APPROACHES FOR RESTORING IMAGES CORRUPTED BY DATA CORRELATED NOISE MODELS
Duration: 2015-2018.
Status: Awarded in November, 2018.
Present occupation: Assistant Professor at Chosun University, S. Korea.
.4. Dr. Balaji Banothu
Title: VARIATIONAL APPROACHES FOR DESPECKLING AND DEBLURRING OF IMAGES,
Duration: 2015-2018.
Status: Awarded in November, 2018..
Present Occupation: Assistant Professor, NIT Trichy.
5. Dr. Savitha G.
Title: Restoration, Enhancement and Analysis of Lung Nodular Images for Prompt Detection of Abnormalities
Duration: 2015-2020.
Status: Awarded in March, 2020.
Present Occupation: Assistant Professor MIT-Manipal.
6. Dr.. Chithra M.
Title: FRACTIONAL REGULARIZATION METHODS FOR ILL-POSED PROBLEMS IN HILBERT SCALES
Status: Awarded in June 2022.
Present Employment: Assistant Professor, Parvatibai Chowgule College, Goa.
7. Dr. Shubha V.S.
Title: ON THE IMPLEMENTATION OF REGULARIZATION METHODS FOR NON-LINEAR ILLPOSED OPERATOR EQUATIONS
Duration: 2013-2016.
Status: Awarded in November, 2016.
Present Occupation: Post Doctoral Fellow (NBHM), NITK Surathkal.
8. Mr. MUHAMMED SAEED K.
Area: ITERATIVE METHODS AND ITS APPLICATIONS FOR SOLVING NON-LINEAR ILL-POSED EQUATIONS
Duration: 2017-2023
9. Ms. Krishnenthu R.
Area: ON NUMERICAL REALIZATION OF REGULARIZATION METHODS FOR ILL-POSED EQUATIONS
Duration: 2018-2023
Ph.D. Thesis Submitted (1 Nos.)
Amala Mary V.
Title : A STUDY ON THE ROLE OF HYPERPARAMETER OPTIMIZATION IN IMAGE CLASSIFICATION PROBLEMS USING AUTOML MODELS
2020-2024
Ph. D. Ongoing ( 05 Nos.)
Ms. Archita Shastry
Area: Restoration and Enhancement of Aerial and Satellite images using Deep Learning Models
2021-2024
Mr. Ajil
Area: Non-linear Inverse Problems.
2022- 2025
Mr. Akhil
Area: AI and Data Science
2023-
Ms. Remya S.
Area: Iterative solutions to non-linear ill-posed equations.
2023-
5. Mr. Nidhin Saji
Area: Computer Vision
2024-
Dr. Febin I. P. : Institute PDF Fellow
M.Tech By Research (02 Awarded)
Abhinaba Hazarika., "SHIP DETECTION AND CLASSIFICATION BASED ON MACHINE LEARNING AND DEEP LEARNING TECHNIQUES", 2022.
Shubham Tikhle, Assessing Damage of Natural Disasters from Satellite Imagery using a Deep learning Model, 2023.
PG Guidance
M.Tech Dissertations : 30 Completed & 2 Ongoing.
MCA Projects: 60 completed.
Funded Research Projects (3 Completed, 4 Ongoing)
1. Title: Generalized framework for restoring medical and satellite images corrupted by data correlated noise
Amount: 17,43,070/-
Agency: DST/SERB
Duration: 2017-2020
Status: Completed with Excellent Rating
2.Title: Efficient Regularization methods for ill-posed Operator Equations and their Applications
Amount: Rs. 18,46,020/-
Agency: DST/SERB,
Duration: 2018-21,
Status: Completed
3. Title: A Retinex Inspired Framework for Intensity Homogenization, Contrast Upgradation, and Restoration of Satellite and Aerial Images
Amount: 22,99,264/-
Agency: SERB
Duration: 2021-2024.
Status: Ongoing.
4.Title: Fractional Regularization Methods for Solving Inverse-Ill-posed Problems and Their Applications
Amount: Rs. 4,61,500/-
Agency: Department of Atomic Energy
Duration: 2020-2023,
Status: Completed.
5. Title: A study on non-linear ill-posed equations under weak conditions with emphasis on Parameter Identification Problem and Applications to Imaging
Amount: Rs. 21,23,264/-
Agency: DST/SERB.
Duration: 2022-2025.
Status: Ongoing.
6. Title: TV Regularization for Image Restoration
Amount : Rs. 6,60,000/-
Agency: SERB/DST
Duration: 2023-2026.
Status: Ongoing
7. Google GCP ( Google Cloud Platform Credits)- Funding for computational resources worth USD 5000 (Completed).
Other research/academic activities
Coordinator of 3 day workshop on "Inverse Problems and Applications", March 6-8, 2023, Funded by SERB.
Coordinator of 3 day workshop on "Satellite image analysis and applications using deep learning", March 11-13, 2022. Funded by SERB.
Coordinator of a week-long workshop on "Inverse Problems and Applications", Sponsor: TEQIP III, Dates: 9-13 August, 2018.
Global Initiative of Academic Network (GIAN) programme coordinator: Under the aegis of Ministry of Human Resource Development, Govt. of India, NITK Surathkal is Organizing a 5 day Course on "Mathematical Methods for Image Processing", During 23rd October to 27th October, 2017 at National Institute of Technology Karnataka, Surathkal.
Foreign Expert: Prof. François MALGOUYRES, Mathématiques pour l'industrie et la physique (MIP), L'Institut de Mathématiques de Toulouse (IMT, CNRS UMR 5219) Université Paul Sabatier, FRANCE. Course Coordinator: Dr. Jidesh P.
Guest Editor of special issue "Advances in Retinal Image Processing" (https://www.mdpi.com/journal/jimaging/special_issues/6OWLNIZNK8) Journal of Imaging (MDPI), with Prof. V. Lakshminarayanan (University of Waterloo, Canada), 2023
Guest Editor of special issue "Frontiers in Retinal Image Processing" (https://doi.org/10.3390/jimaging8100265) Journal of Imaging (MDPI), with Prof. V. Lakshminarayanan (University of Waterloo, Canada), 2021
Guest Editor of International Journal of Computer Vision (IJCVR) of Inderscience Publisher, 2015
Guest Editor of International Journal of Convergence Computing (IJConvC) of Inderscience publisher, With Prof S.George and Prof. I. Argyros, University of Cameroon, USA., 2015
Guest editor of IJSISE, Inderscience publisher., 2016
Book Edited: Mathematical and Computational Sciences, Narosa publisher, Delhi, 2015.
Organizing committee member of ICAIPA, 2022.
Organizing committee member of ICMACS-2015 held in January 2015 at Kannur, Kerala.
BoS Member of Department of Computer Science, Cochin University of Science and Technology, Kerala.
BoS Member of Department of Computer Science, St. Aloysius College, Mangalore.
BoS Member of MITE, Mangalore
Research committee member IT Department Kannur University.
Served as Ph.D. Thesis examiner for VTU, Anna University etc.
The reviewer of Many Scientific Journals from IEEE, Springer, SPIE, Elsevier etc.
Visits abroad
Visited Singapore during 2nd to 6th January 2023 to attend an International Conference,
Visited Spain (14-07-2019 to 21-07-2019) to attend ICIAM-2019 at Valencia Spain: Funding DAE, Govt of India,
Visited George-August University, Gottingen (Germany) during June 2016 for research interaction with Prof. Thosten Hohage. (TEQIP Funding)
Visited Kumamoto University, Japan, to attend IES 2016 , Institute Funding.
Visited Seoul, S. Korea to participate in ICM-2014. DST Funding
Visited Manila, Philippines in Dec. 2010, for presenting a paper in ICGIP-2010 (An International Conference). 2010.
Visited UKM (National University of Malaysia) in June 2011 to deliver a talk in ICPAIR-2011 (An International Conference)
Google scholar link : http://scholar.google.co.in/citations?user=wtybpdMAAAAJ&hl=en
ResearchGate link: http://www.researchgate.net/profile/P_Jidesh
Scopus Id: 58149483900 (https://www.scopus.com/authid/detail.uri?authorId=58149483900)
Orcid: https://orcid.org/0000-0001-9448-1906
Web of Science Researcher Id: C-6030-2017 (https://www.webofscience.com/wos/author/record/C-6030-2017)
Research collaborators:
Prof. V. Lakshminarayanan , University of Waterloo,
Prof. I. K. Argyros, University of Cameroon, USA
Prof. D. Fabio, University of Pavio, Italy
Prof. M. Francois, University of Paul Sabatier, France
Professional Affiliations
Sr. Member IEEE,
Sr. Member ACM,
ISTE (Life member),
ISIAM (Life Member),
CSI (Life member)
Subjects Taught
Machine Learning
Image Processing
Operating System,
Data Structures and Algorithms.
Linear Algebra
Basic Mathematics (UG Level)
Image and Video Compression
Artificial Intelligence
Computer Organization and Architecture,
Computer Graphics,
Pattern Recognition,
Compiler Design,
Programming concepts.