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Dr Sujata Alegavi

vidwan id: 399359
Female

Associate Professor, Department of Internet of Things
Thakur College of Engineering & Technology, Kandivli (E) Mumbai

Expertise

  • Telecommunications

Publications

Total Articles 39
Books 0
Proceedings 0

Publications

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Scopus

Citations 5
h-index 1

CrossRef

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Citations 1
h-index 1
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Professional Recognition

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Community & Membership

2023

IEEE

Member

IEI

2024
Associate Member

ISTE

2015
Professional

Bio

Dr. Sujata Alegavi obtained B.E. degree in 2006 and M.E in Electronics and Telecommunication Engineering in 2010 from Thakur College of Engineering and Technology, University of Mumbai, Mumbai, Maharashtra, India. She has done her Ph.D. from Thakur College of Engineering and Technology, University of Mumbai, Mumbai, Maharashtra, India. Currently she is working as a HOD and Associate Professor in Thakur College of Engineering and Technology. She has published more than 22 Scopus Indexed papers.

Personal Details

  • Female
  • Associate Professor , Thakur College of Engineering & Technology, Kandivli (E) Mumbai
  • Thakur Village, Kandivali East, Mumbai, Maharashtra, India
Ph.D
Other Institute 2021
PGDBA
Other Institute 2012
ME
Other Institute 2010
B.E.
Other Institute 2006
Head of the Department Aug 2022 – —
Thakur College of Engineering & Technology, Kandivli (E) Mumbai | Department of Internet of Things
Associate Professor Aug 2022 – Present
Thakur College of Engineering & Technology, Kandivli (E) Mumbai | Department of Internet of Things
Assistant Professor Jul 2008 – Jul 2022
Thakur College of Engineering & Technology, Kandivli (E) Mumbai | Department of Electronics and Computer Science
Assistant Professor Nov 2007 – Jun 2008
Thakur College of Engineering & Technology, Kandivli (E) Mumbai | Department of Information Technology
Lecturer May 2007 – Oct 2007
Thadomal Shahani Engineering College, Bandra, Mumbai | Department of Information Technology

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Organisations (164+)

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Brijesh

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Aruna

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Associate Professor

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Arpit

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Arti

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ANIKET

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Co-Authors (3)

Hemant

Dr Hemant Kasturiwale

Thakur College of Engineering & Technology, Kandivli (E) Mumbai

Raghavendra

Dr Raghavendra Sedamkar

Thakur College of Engineering & Technology, Kandivli (E) Mumbai

Ugandhara

Ms Ugandhara Gaikwad

Thakur College of Engineering & Technology, Kandivli (E) Mumbai

Scholarly Work

Efficient Retrieval of Remotely Sensed Images using Hybrid Approach

Funding Agency: NVIDIA

PI

125,000

2018 - 2021

Completed

Efficient Retrieval of Remotely Sensed Images using Hybrid Approach

University University of Mumbai, Thakur College of Engineering and Technology
Year 2021

A HYBRID SYSTEM FOR CLASSIFICATION AND RETRIEVAL OF HYPERSPECTRAL IMAGES

Dr. Sujata Alegavi
Dr. Vinayak Ashok Bharadi
Dr. Bhushankumar P. Nemade
Dr. Archana Belge
- Application No. : 2023/01632 Filed : 09-02-2023
Published : 31-05-2023 Granted

A system for optimizing GPU use for hyperspectral image retrieval

Dr. Sujata Alegavi
Engineering and Technology Application No. : 2022012519232700DE, G11305DE Filed : 12-12-2022
Published : N/A Granted

A system for integrating blockchain with local public service and method thereof

Dr. Vinayak B
Bhushankumar N
Dr Sujata D
Pravin J
Dr Vikas Kaul
Geetanjali Nilesh S
- Patent No. : 2022/09603 Filed : 29-08-2022
Published : 30-11-2022 Granted

A Double Acting Single Phase Generator

Dr. Sujata Alegavi
Engineering and Technology Application No. : 202121047489 Filed : 19-10-2021
Published : 29-10-2021 Published

An efficient generator monitoring System

Dr. Sujata Alegavi
Engineering and Technology Patent No. : 537883 Filed : 01-07-2021
Published : 06-08-2021 Granted

A Hybrid Method for Deep ENN with MultiScale Rotation Invariance Features for Hyperspectral Image Classification and Retrieval

Sujata Alegavi
Engineering and Technology Application No. : 202021004626A Filed : 02-03-2020
Published : 02-07-2020 Published

Scholarly Publications

Systematic Analysis of Effective Segmentation and Classification for Land Use Land Cover in Hyperspectral Image using Deep Learning Methods: A Review of the State of the Art : Reviewing Deep Learning Techniques for Land Use and Cover in Hyperspectral Images

Open Access
conference paper
Authors: V. P. Yele, R. R. Sedamkar and S. Alegavi

Effective segmentation of land-use and land-cover from hyperspectral remote sensing image

Open Access
article

Hybrid hesitant fuzzy linguistic bi-objective binary coyote clustering based segmentation and classification for land use land cover in hyperspectral image

Open Access
Article

Enhancing COVID-19 Impact Prediction through the Application of LSTM Networks in Deep Learning

Open Access
article
Authors: Vinayak Ashok Bharadi, Bhushankumar Nemade, Sujata S. Alegavi, Ravita Mishra, Pravin Jangid, Namdeo Badhe

A Systematic Review: Remote Sensed Hyperspectral Image Segmentation and Caption Generation Using Deep Learning Methods

Open Access
book chapter
Authors: Namdeo Baban Badhe, Vinayak Ashok Bharadi, Nupur Giri, Sujata Alegavi, and Vijaykumar Yele

Deep Fusion with Attention Neural Network for Soil Health based Crop Yield Estimation using Remote Sensing Images

Open Access
conference paper
Authors: V. P. Yele, R. R. Sedamkar, S. Alegavi

Comparison of proposed electricity billing mechanism for residential clients of Maharashtra

Open Access
article
Authors: Archana Talhar Belge, Sanjay Bodkhe, Sujata Alegavi, Arpit Ravankar, Hemant Kasturiwale, Alok Ranjan

Improving Rainfall Prediction Accuracy Using an LSTM-Driven Model Enhanced by M-PSO Optimization

Open Access
article
Authors: Bhushankumar Nemade, Ravita Mishra, Pravin Jangid, Sujata Dubal, Vinayak Bharadi, Vikas Kaul