Dr. Anagha Chaudhari

Computer Engineering · Pimpri Chinchwad College of Engineering (PCCOE), Pune

Dr. Anagha Neelkanth Chaudhari

AI Researcher | Federated Learning Specialist | Academic Leader & Innovation Mentor

Assistant Professor in Computer Engineering with 18+ years of academic experience and PhD (IT) Completed 2025, UTP Malaysia. Author of 78+ research publications including IEEE Access (SCIE Q1), 11+ Patents & Copyrights, and recipient of prestigious research awards. Her research focuses on scalable artificial intelligence systems, recommender intelligence, and concept drift adaptation for real-world applications.

Verified March 2026
Dr. Anagha Neelkanth Chaudhari

Research Impact & Collaborations

Web of Science
Universiti Teknologi PETRONAS
PCCOE
IEEE
Springer
Scopus
Web of Science
Universiti Teknologi PETRONAS
PCCOE
IEEE
Springer
Scopus
Web of Science
Universiti Teknologi PETRONAS
PCCOE
IEEE
Springer
Scopus
Web of Science
Universiti Teknologi PETRONAS
PCCOE
IEEE
Springer
Scopus

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Years Experience

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Publications

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Patents & Copyrights

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Reviewer Roles

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Workshops Organized

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Projects Guided

Q1

IEEE Access Author

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Achievements

About

Dr. Anagha Neelkanth Chaudhari is an accomplished academic and researcher with extensive experience in artificial intelligence, machine learning, and recommender systems. She is currently pursuing her PhD in Information Technology at Universiti Teknologi PETRONAS, Malaysia, focusing on federated learning and adaptive intelligent systems. A university rank holder and recipient of the Dr. A.P.J. Abdul Kalam Young Researcher Award, she has contributed significantly through high-impact publications, patents, academic leadership, and international research collaborations.

Research Interests

Selected research areas that define the current academic focus.

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Federated LearningEvolutionary AlgorithmsArtificial IntelligenceMachine LearningRecommendation EnginesData Mining

Education

    PhD Research Scholar

    Universiti Teknologi PETRONAS (Malaysia) · Present

    M.E. in Computer Engineering

    SPPU · 2013

    Secured 3rd University Rank

  • PhD Information Technology

    Universiti Teknologi PETRONAS (UTP), Malaysia · 2025

  • B.E. Computer Engineering

    Mumbai University · 2006

  • HSC Science

    Maharashtra State Board, Mumbai · 2001

  • SSC

    CBSE Board · 1999

Awards & Honors

    Graduate Research Assistant (GRA)

    Universiti Teknologi PETRONAS · 2024–2025

    Selected as Graduate Research Assistant for the internationally funded LIGHTHOUSE project worth RM 2,99,500.

  • Dr. A.P.J. Abdul Kalam Young Researcher Award

    IOIRP · 2020

    Awarded in June 2020 for outstanding research contributions.

  • 3rd Rank in M.E. Computer Engineering

    Savitribai Phule Pune University · 2013

    Secured 3rd University Rank with 8.22 CGPA (2011–2013).

  • MHRD Innovation Ambassador

    Ministry of Human Resource Development Innovation Cell · 2021

    Certified Innovation Ambassador by MHRD Innovation Council, certified February 2021.

  • GRA – YUTP-PRG 2023 LIGHTHOUSE Project

    Universiti Teknologi PETRONAS · 2024

    Graduate Research Assistantship worth RM 2,99,500 for the LIGHTHOUSE project (Feb 2024–Mar 2025).

Recent Publications

Selected works from my research

Q1 JournalScopusJournal Article2025

FedRecSys: A Federated Learning-Based Recommender System for Concept Drift Adaptation

Anagha Chaudhari, Dr. Hitham Seddig A.A., Dr. Aliza Sarlan, Dr. Roshani Raut

IEEE Access

Published in IEEE Access (Open Access), March 2025. ISI/SCIE Q1, Scopus, Web of Science, IET Indexed. Impact Factor 3.4, CiteScore 9.8.

federated learningrecommender systemsconcept driftIEEE Access
Q1 JournalScopusConference Paper2024

A Comprehensive Literature Review and Implementation of Kalman Filter for Concept Drift Detection in Autonomous Vehicles

Anagha Chaudhari, Dr. Hitham Seddig A.A., Dr. Aliza Sarlan, Dr. Roshani Raut

ESTCON 2024, Kota Kinabalu, Malaysia (Springer-Scopus)

Presented at ESTCON 2024 World Engineering, Science & Technology Congress, Kota Kinabalu, Malaysia, September 2024. Springer-Scopus.

concept driftKalman filterautonomous vehiclesSpringer
Q1 JournalScopusJournal Article2024

A Hybrid Recommendation System: A Review

Anagha Chaudhari, Dr. Hitham Seddig A.A., Dr. Aliza Sarlan, Dr. Roshani Raut

IEEE Access

Published in IEEE Access (Open Access), October 2024. ISI/SCIE Q1, Scopus, Web of Science, IET Indexed. Impact Factor 3.4, CiteScore 9.8.

recommender systemshybrid systemsreviewIEEE Access
Q1 JournalScopusConference Paper2023

A Novel Approach of Adaptive Window 2 Technique and Kalman Filter - "KalADWIN2" for detection of Concept Drift

Anagha Chaudhari, Dr. Hitham Seddig A.A., Dr. Aliza Sarlan, Dr. Roshani Raut

International Visual Informatics Conference (IVIC'23), UKM, Malaysia, Springer LNCS 14322

Published in Springer LNCS 14322 from IVIC'23 at UKM, Malaysia, November 2023. Scopus Indexed and ACM Digital Library.

concept driftKalman filterfederated learningSpringer
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