Dr. Anagha Chaudhari

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

Dr. Anagha Neelkanth Chaudhary

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 Chaudhary

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.

View All Research Areas →
Federated LearningEvolutionary AlgorithmsArtificial IntelligenceMachine LearningRecommendation EnginesData Mining

Education

    Doctor of Philosophy (PhD-IT) (Completed in 3 years only)

    Universiti Teknologi PETRONAS (UTP) · QS-250 · Mar 2022 - Nov 2025

    M.E. Computer Engineering - First Class with Distinction (Completed in 2 years only)

    SPPU (Pune University) · 2011 - 2013

    Secured 3rd University Rank

    B.E. Computer Engineering - First Class

    Don Bosco Institute of Technology (DBIT), Mumbai University · Sep 2002 - June 2006

    HSC (Science)

    Maharashtra State Board

  • SSC

    CBSE Board · 1999

Awards & Honors

  • GRA – YUTP-PRG 2023 LIGHTHOUSE Project

    Universiti Teknologi PETRONAS · 2024–2025

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

  • MHRD Innovation Ambassador

    Ministry of Human Resource Development Innovation Cell · 2021

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

  • 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).

Recent Publications

Selected works from my research

Journal Article2025

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

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

IEEE Access

Abstract not provided.

federated learningrecommender systemsconcept driftIEEE Access
Journal Article2024

A Hybrid Recommendation System: A Review

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

IEEE Access

Abstract not provided.

recommender systemshybrid systemsreviewIEEE Access
Conference Paper2024

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

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

ESTCON 2024, Kota Kinabalu, Malaysia

Abstract not provided.

concept driftKalman filterautonomous vehicles
Conference Paper2023

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

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

International Visual Informatics Conference (IVIC 2023)

Abstract not provided.

concept driftKalman filterfederated learning
View all