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Dr Madhumita Kathuria

vidwan id: 246239
Female

Associate Professor, Department of Computer Science and Engineering (FET)
Manav Rachna International Institute of Research and Studies

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 34
Books 0
Proceedings 0

Publications

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Scopus

Citations 48
h-index 5

CrossRef

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Citations 0
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Professional Recognition

2004

Honors B.Tech

BPUT
2020

AICTE Toycathon (Grand Finale)

AICTE
2020

Deep Learning

NPTEL
2021

Manthan Hackathon (Primary Evaluator/Jury member)

AICTE

Community & Membership

2021

Oracle Academy

Mentor, Faculty
2021

Data Science Association

Member
2020

IEEE Sensor Journal

Reviewer

Program Allocation Committee

2019
Member

Doctorate of Research Council

2018
Member

Board of Studies

2018
Member

Research and Development (Department)

2018
Member and Coordinator

Bio

Dr. Madhumita Kathuria Has 16.6 Years of Academic, and Research Experience. She Has Published More Than 30 Research Papers In Various International Journals and Conferences. She Has Filled 4 Patents. She Has Guided More Than 10 M.Tech Students In Their Research Work. Her Area of Specialization Includes Deep Learning, Machine Learning, Big Data Analytics.

Personal Details

  • Female
  • Associate Professor , Manav Rachna International Institute of Research and Studies
  • MREI Campus: Sector – 43, Aravalli Hills, Delhi – Surajkund Road, Faridabad – 121004, (Haryana), India
Ph.D
Other Institute 2018
M.E.(CSE)
Other Institute 2007
B. E. (CSE)
Other Institute 2004
Associate Professor Jan 2006 – Present
Manav Rachna International Institute of Research and Studies | Department of Computer Science and Engineering (FET)

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Organisations (391+)

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Avantika

Dr Avantika Tuli

Head of the Department

Arti

Dr Arti Saxena

Associate Professor

Ashish

Mr Ashish Anand

Assistant Professor

Ashish

Dr Ashish Grover

Associate Professor

Ashish

Dr Ashish Kumar

Assistant Professor

Ashish

Dr Ashish Shukla

Assistant Professor

Ashwarya

Dr Ashwarya Kapoor

Assistant Professor

Co-Authors (4)

Gayatri

Dr Gayatri Bhandari

JSPM's Bhivrabai Sawant Institute of Technology and Research, Wagholi, Pune

Sapna

Dr Sapna Gambhir

J.C. Bose University of Science and Technology

Sapna

Dr Sapna Gambhir

J.C. Bose University of Science and Technology

Shobha

Ms Shobha Tyagi

Manav Rachna International Institute of Research and Studies

Scholarly Work

STTP on Machine Learning

Funding Agency: AICTE

PI

3,36,000

2020 - Ongoing

Ongoing
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A MACHINE LEARNING BASED SYSTEM FOR AGRICULTURAL PRODUCTS TO PREDICT QUALITY AND METHOD THEREOF

Madhumita Kathuria
- Application No. : 202111055367 Filed : 30-11-2021
Published : 03-12-2021 Published

Intelligent Digital System Based on Machine Learning to Continuously Monitoring Driver Health Conditions

Madhumita Kathuria
- Application No. : 2021104037 Filed : 10-07-2021
Published : N/A Filed

A Data Mining System for Demonstration of Mixing Various Chemical Composition

Madhumita Kathuria
- Application No. : 202111015819 Filed : 10-02-2020
Published : 09-04-2021 Published

Scholarly Publications

Sentiment Analysis using Various Machine Learning Techniques: A Review

Open Access
Review

Comparative Study of Machine Learning Techniques for Intrusion Detection Systems

Open Access
Conference Paper
Authors: Pushpa Bharti Singh ., Parul Tomar ., Madhumita Kathuria .,

Role of Zero-Knowledge Proof in Blockchain Security

Open Access
Conference Paper
Authors: Shobha Tyagi ., Madhumita Kathuria .,

Reliable packet transmission in WBAN with dynamic and optimized QoS using multi-objective lion cooperative hunt optimizer

Open Access
Article

Study on blockchain scalability solutions

Open Access
Conference Paper
Authors: Shobha Tyagi ., Madhumita Kathuria .,

FAKE NEWS DETECTION USING ML

Open Access
article
Authors: Agrawal, Srishti and Arora, Vaishali and Arora, Ruchika and Chawla, Pronika and Kathuria, Madhumita

Critical Condition Detection Using Lion Hunting Optimizer and SVM Classifier in a Healthcare WBAN

Open Access
Article

Design, implementation, and evaluation of modern approaches for the augmentation of qos in medical body sensor network

Open Access
Article