0000-0002-1639-9904 About
Curriculum Vitae
Dr. Jyoti Joglekar
Email: [email protected]
[email protected]
Address: E/4, Guruprasad, Arunodaya Nagar, Mulund (East), Mumbai, 400081.
Married: Spouse name: Mr. Manmohan Vishnu Soman
Contact Numbers:
Mobile: +919653144014
Res.: +9122-25630006
Current Designation: Professor, Department of Computer Engineering, K. J. Somaiya College of Engineering, Vidyavihar, Mumbai.
Dr. Jyoti Joglekar holds a Bachelor of Electrical engineering from Walchand College of Engineering Sangli (BE 1990), a Master of Computer Engineering from University of Mumbai (ME 2014) and a PhD in Satellite Image Analysis from IIT Bombay, Mumbai India (PhD 2015).
Total experience: 31 years [Teaching (31) + Industry (2.5)]
Total teaching experience 31 years: At RAIT Nerul, SAKEC Chembur, DJSCOE Vile Parle and KJSCE, SVU Vidyavihar (at present).
Subjects taught at UG and PG level: Computer Vision, Digital Image Processing, Machine Learning, Neural network and fuzzy systems, Data Science, Big Data Analytics, Data Communication, Internet of Things, Computer Simulation and Modeling, Digital Signal and Image processing, Network design and management, Cyber security, System security, Information security
Areas of Interest: Computer Vision, Digital Signal and Image Processing, Machine Learning, Data Science, Neural Network and Fuzzy Systems, Internet of Things, Data Analytics,
Total Industry experience: 2.5 years in MSEB, Rolta India Ltd and MoTech Software.
More than 35 UG and PG projects guided and internship is given to more than 15 students.
Major Projects Guided (UG):
Image Matching with Cross Correlation techniques, Area based Image Matching – a composite techniques, Feature based Image matching using SIFT, Development of a Car pooling website, Simulation of Honey Pot- a security measure, Mobile Banking and Security, Detecting and Resolving Firewall policy anomalies, OTP Generation and system security, In house project on NBA Rubrics.
PhD Thesis Title:
‘Studies on Stereo Image Correspondence using Probabilistic Neural Network based Feature Matching as Constraint Initializer for Dense Matching’
Grants and Research projects:
• Grants fetched from IIT Bombay for France and Germany conferences and registration charges. Extra pages charges grant from IIT Bombay for publishing IEEE Transaction on Geoscience and Remote Sensing, Sep 2014.
• Worked on Chandrayan-1 data as PhD research assignments on a funded project by SAC, ISRO, Ahemdabad
• A Technology development research proposal is written, submitted and presented by me in the duration Nov 2018 to Feb 2019. The Title is, ‘Design and development of a Physical Working Prototype to showcase an optimized algorithm and software for image acquisition and processing using Swarm of Autonomous UAVs (Drones)’. Focal person for the ongoing TDP research project with NESAC, ISRO for which research fund grant of Rs 1095000/- is received. On this work an indian patent is filed Ref ID/application number: 202221034673
• The research proposal in Dec 2017, titled, ‘Development of methods for in-season monitoring of sugarcane crop in Peninsular India using Earth Observations for precision water and nitrogen management’, for Indo-Russian fund grant and this proposal received DST-RFBR fund grant in July 2018, Somaiya group received fund grant of Rs 24 Lacs from DST and the Russian partner received same amount grant from RFBR. I played a role of expert adviser and for this project.
• Technical scrutiny cleared with acceptance for research proposal with RESPOND, ISRO with applied fund for Rs 25 lakhs titled ‘Deepfire: Forest fire Prediction and Detection’, 2019
List of Publications:
International Journal publications
[1] Jyoti Joglekar, Shirish S. Gedam, B. Krishna Mohan, “Image Matching using SIFT Features and Relaxation Labeling Technique – A Constraint Initializing Method for Dense Stereo Matching”, IEEE Transaction, Transaction on Geoscience and Remote Sensing, Vol. 52, Issue 12, 20 Jan. 2014, DOI: 10.1109/TGRS.2013.2291685
[2] M. Mahato, S. Gedam, J. Joglekar and K. M. Buddhiraju, "Dense Stereo Matching Based on Multi-objective Fitness Function—A Genetic Algorithm Optimization Approach for Stereo Correspondence," in IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 6, pp. 3341-3353, June 2019
[3] Jyoti Joglekar, Shirish S. Gedam, Jan 2012, Area Based Image Matching Methods- A Survey, International Journal in Emerging Trends and Advanced Engineering, Vol. 2 Issue 1.
[4] Krupa Popat, Jyoti Joglekar, November 2014, Novel Composite Approach to Reduce Broadcast Storm Problem, International Journal on Recent and Innovation Trends in Computing and Communication, Vol. 2, Issue 11, ISSN: 2321-8169.
[5] Dushyant Bhat, Jyoti Joglekar, Mobile Devices Forensics & Data Security – A Review, International Journal for Scientific Research & Development, Vol. 4, Issue 08, 2016, ISSN 2321-0613.
[6] Radha Adinarayanan and Jyoti Joglekar, ‘Online Banking Security Issue
Employment
Employment history is unavailable.
Education
Education history is unavailable.
Projects & Funding
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Publications (12)
- Content Based Document Image Retrieval Using Computer Vision and AI Techniques Save
- Knowledge Base Creation for Prediction and Detection of Forest Fire Save
- Preserving Data Security in Cloud Environment Using an Adaptive Homomorphic Blockchain Technique Save
- Lightweight Elliptical Curve Cryptography (ECC) for data integrity and user authentication in smart transportation IoT system Save
- Smart Home Automation Using Fuzzy Logic and Internet of Things Technologies Save
- Dense stereo matching based on multiobjective fitness function - A genetic algorithm optimization approach for stereo correspondence Save
- A variational model with adaptive regularization based dense stereo matching Save
- Image matching using SIFT features and relaxation labeling technique -A constraint initializing method for dense stereo matching Save
- Scan line optimization for tri stereo planetary images Save
- Lunar impact crater modeling using trinocular stereoscopic depth inpainting Save