Skills
Proficiencies and technical abilities.
Programming Languages
Python, R
MATLAB, C
SCILAB
Area of Interest
Computer Vision
Big Data Analytics
Machine Learning
Image Processing
Convolutional Neural- Networks
Subjects taught at UG level
Data Analytics
Big Data Analytics
Design of Operating System
Machine Learning
Theory of Computation
Subjects taught at PG level
Machine Learning
Image Processing
Signals and Systems
Analysis and design of Algorithms
Ongoing Research Projects
Current projects paving the way forward.
Use of Artificial Intelligence based technique for the retrieval of Atmospheric MotionWinds
RESPOND, Funded by ISRO 2024-2026 , Approved amount , 21,70,4001/- As Principal Investigator
Development of automatic procedures and operationalization of calibration and validationalgorithm for OCM-3 bio-geophysical parameters in MOSDAC web portal
Collaborative project with SAC ISRO, 2024-2026, Approved amount Rs 15,48,000/- As Principal Investigator
Remote sensing-based detection and tracking of marine litter (special emphasis tomacroplastic) along the Indian coast
Collaborative project with SAC ISRO, As Co-PI, Sanctioned amount, 16,80,000/-
Funded Research Project
Explore my work – a testament to my skills, dedication, and vision.
Achievements
Highlights of hard work and accomplishments.
Received fellowship from SUNY Binghamton as a visiting professor to SUNY Binghamton NYC
Conducted Training for Indian Navy officers on Big Data Analytic at Indian Navy services, Valsuracenter.
Conducted one-week training Program for ISRO scientist on the topic “Big Data Analytics”
Gold Medal (first rank) in M. Tech, Computer Engineering, 2007
Awarded Nirma Labs Young Techno-Entrepreneur 2007 under M. Tech Category, organizedbyNirma Labs, Nirma University Campus, Ahmedabad. The criteria for judgement were commercial potential of the project along with the innovative idea.
Received NVIDIA GPU card worth Rs.4.5 lakhs for research work in the institute in this area
Selected in NHPC, a Govt. of India Enterprise, for the post of Trainee Officer, 2001
Consistent Very Good feedback from students for teaching
All India Rank (AIR): 533 in Graduate Aptitude Test for Engineers 2000 (GATE2000)
Received best paper award for first paper at NUCON 2007.
Student Co-author was offered 50% of the travel grant by IEEE Geoscience and RemoteSensingSociety to travel to Qubec Canada to present the selected paper at the 2014 IEEEInternationalGeoscience and Remote Sensing Symposium (IGARSS 2014) in Quebec, Canada
Engagement in various research projects funded by esteemed organizations like Department ofAtomic energy (DAE) and also ISRO.
Publications
Contributions to research and knowledge.
Book Published
Earth observation data analytics using machine and deep learning :
Modern tools, applications and challenges,
Garg S. , Jain S. , Dube N. , Varghese, N. , IET, 2023, pp. 1–240
International Journals and book chapters
"A comprehensive analysis towards exploring the promises of AI-related approaches in autism research." Computers in Biologyand Medicine (2023): 107801.
"A Pipelined architecture for acreage estimation using deep leaning and spectral image." International Journal of Information Technology (2023): 1-9.
CNN-FEBAC: A framework for attention measurement of autistic individuals, Biomedical Signal Processing and Control, 105018 (2023).
"Predictive Maintenance System for Rotating Machinery OnboardShips for Detecting Performance Degradation." Scalable Computing: Practice and Experience 24.4 (2023): 1231-1240.
Prediction of Mental Illness in Heart Disease Patients: Association of Comorbidities, Dietary Supplements, and Antibiotics as Risk Factors Journal of personalized medicine 10 (4), 214, 2020
Parameter optimization for surface mounter using a self-alignment predictionmodel, Soldering & Surface Mount Technology, 2022
A deep learning based approach for trajectory estimation using geographically clustered data, S N Applied Science.
Deep Learning Feature MapforContent Based Image Retrieval System for Remote Sensing Application, Int. J. of Image Mining, Inderscience Publisher, 2016 Vol.2, No.1, pp.1 – 11
Animal/Object Identification Using Deep Learning on Raspberry Pi Smart Innovation, Systems and Technologies, vol 84. Springer. 2018
Deep Q-learning for navigation of robotic arm for tokamak inspection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11337 LNCS, pp. 62-71 Springer, 2018
A Proposed Method for Disruption Classification in Tokamak Using Convolutional Neural Network. In Towards Extensible and Adaptable Methods in Computing (pp. 179-193). Springer, Singapore (2018).
Deep Neural Network Based ClassificationofTumourous and Non-Tumorous Medical Images. Smart Innovation, Systems andTechnologies, vol 84. Springer
Feature Fusion of Colour Moment and Morphological Featuresfor Enhanced Precision in Content Based Image Retrieval Systems, International Journal ofComputer Science & Communication, Volume 7, Issue 1, 2016
Detection of Moving Object using Continuous Background Estimation Based on Probability of Pixel Intensity Occurrences, International Journal of Computer Science and Telecommunications, Volume 3, Issue 5, May 2012
Conference Publications
Weighted Fusion of LBP and CCH Features for Effective Content Based Image Retrieval, IEEE-SPCOM, IISC Bangalore, 2016
18th International conference, Rome, Decoding Autism Diagnosis: A Journey Towards Transparency with XAI in ML Models, January 2024
AI based Classification for Autism Spectrum Disorder Detection using Video Analysis. In 2022 IEEE Bombay SectionSignatureConference (IBSSC) (pp. 1-6). IEEE
Number Plate Detection Using Drone Surveillance. In 2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (pp. 1-6). IEEE.
Profiling Cyber Crimes from News Portals Using Web Scraping. In Futuristic Trends in Networks and Computing Technologies: Select Proceedings of Fourth International Conference on FTNCT 2021 (pp. 1007-1016). Singapore: Springer Nature Singapore.
Infrastructure and Algorithm for Intelligent Bed Systems. In International Conference on Next Generation Systems and Networks (pp. 323-357). Singapore: Springer Nature Singapore.
Stock Market Prediction During COVID Using Stacked LSTM. In 2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (pp. 1-6). IEEE.
Content Based Image Retrieval System Using Color, Shape andTexture NUCON2007 (Best Paper Award)
Machine Learning-Based Model for Effective Resource Provisioning in Cloud. In Futuristic Trends in Networks and Computing Technologies: Select Proceedings of Fourth International Conference on FTNCT2021(pp. 935-950). Singapore: Springer Nature Singapore
Early Fault DetectionforRotating Machinery Onboard Ships Motor Using Fuzzy Logic and K-Means. In International Conference on Computing, Communications, and Cyber-Security (pp. 567-580). Singapore: Springer Nature Singapore
Computation Performance Gain in Key Feature Extraction for CBIR System for Remote Sensing Images, ICIP, Elsevier, 2014
Parallel Approach to Expedite Morphological
Feature Extraction of Remote Sensing Images for CBIR System, IGARSS, Qubec, Canada, IEEE 2014
Performance measureof image processing algorithms on DSP processor & FPGA based coprocessor, 2010 International Conference on Advances in Communication, Network, and Computing, IEEE
Exploring a new direction in colour and texture based satelliteimage search and retrieval system, NUICON 2011, IEEE
Content-Based Image Retrieval Using SVM for Relevance Feedback, NUCON, 2008
Education
Dr. Swati Jain
S. S. C
M P Board, Bilaspur, Chhattisgarh
Year - 1993
83.6% (2nd in School)
H. S. C
M P Board, Durg, Chhattisgarh
Year - 1995
70.4 %
B. E. (CE)
Barkatullah University, Bhopal
Year - 2000
77.0% (Distinction)
M. Tech. (CSE)
Nirma University, Ahmedabad
Year - 2007
8.01/10 (Gold Medalist)
Ph. D.
Nirma University, Ahmedabad
Feb - 2017
Employment
PHD Candidate details
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Lecturer
Shri Vaishnav College, Indore, MP
July 2000 - Nov 2000
Lecturer
Rungta College of Engineering, Bhilai, MP
Dec 2000 - May 2001
Lecturer
Nirma University, Ahmedabad, Gujarat
July 2001 - Jan 2008
Assistant Professor
Dept of Computer Science and Engineering
Nirma University, Ahmedabad, Gujarat
July 2008 - March 2017
Associate Professor
Dept of Computer Science and Engineering
Nirma University, Ahmedabad, Gujarat
March 2017 - Till Date
Training Programs Attended
Faculty Development Program, Advance Java, Tata Consultancy Services (TCS).
Contemporary Issues in Internet of things, Institute of Technology, Nirma University
Multimedia Coding Networking & Communications, Institute of Technology, Nirma University
Multicore Computing Concepts & Challenges, Institute of Technology, Nirma University
STTP on Big Data: data exploration and visualization, Institute of Technology, Nirma University.
Refresher course on programming systems, Institute of Technology, Nirma University
Contemporary Applications & Research opportunities in Machine Learning, Institute of Technology, Nirma University.
Programming Systems, Nirma University.
Open Source Software for Library-KOHA, Amrita Vishwa Vidyalaya College, Bangalore
Machine Learning, C-DAC Kharghar, Navi Mumbai.
Emerging Trends in Network Security, Sarvajainik College of Engineering, Surat.
Programming Simulation and Optimization for Engineers, Nirma University.
CUDA Workshop, Nirma University
Outcome based education Assessment, ADR Cell Nirma University.
STTP on Java programming, Institute of Technology, Nirma University.
Noteworthy Contributions As An Employee
PG Coordinator , M tech (Data Science) since 2022
Program Coordinator for B tech (CSE-MBA) 2021-2022
Member secretary for department level research committee
Lead the task MoU signing between Nirma University and INS Valsura
Actively participated in establishing CoE Data Science in association with SUNY, Binghamton NY
Revamping of B. Tech Syllabus for CE and IT department, Syllabus coordinator. Syllabus revampingin 2013 and then in 2018. Study of syllabus patterns of various universities. Designing in line with AICTE norms and vison and Mission of the university
Member of Board of Studies: Academic body responsible for evaluating and recommending the Syllabus for various programs in the department.
Development of University Management system with a group of semester VIII students of BTech CE/IT: 2008, along with Dr. Z. Narmawala guided, developed and implemented course registration software for Institute of Technology. Software was in use till 2013.
Online access of student results initiated in 2008, For security reasons, computer networkofexamination section of university is not connected with rest of the network. To get access to the exam database we proposed and setup database mirror such that original database server remainsisolated. This arrangement is still in use by AMS/MIS to display exam results and for other purposes.
Faculty advisor for association of computer engineering students (ACES) for last 10 years. Recently started a new club under ACES, Mozilla Club to promote open source software usage and development.
Guided 17 M. Tech. projects till date
Timetable coordinator of the department for two semesters
Taught Course ‘career Orientation’ to semester IV and V for multiple years that involved soft skills development
Joint secretary of NITA Alumni association at Institute of Technology for 3 Years
Implementation of an Integrated MIS System for the University including all the institutes
Evaluation and selection of software, contract preparation, award of contract to selectedvendor.
Processing and purchase of hardware and software
Coordinating Meetings of senior management at NU and at the vendor end.
Leading the team and ensuring successful deployment of academic modules.
Successful deployment of online application for admission for all the UGto PhD. Programs
Testing and deployment of all academic modules at all the institutes.
Requirement study -facilitating vendors with requirement analysis, coordinating andbeingpartofall the requirement study team.