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Dr. Anjali

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Dr. Anjali

Assistant Professor

Email: anjali@iiitm.ac.in

Address:

Room No. A-118, Department of IT, A Block, ABV-IIITM Gwalior

Dr. Anjali

Biography

Dr. Anjali received her B.Tech. in Computer Science and Engineering from U.I.E.T., CSJM University, Kanpur, and her M.Tech. and Ph.D. in Information Technology from the Indian Institute of Information Technology, Allahabad. She has previously worked with GLA University, Mathura; Vellore Institute of Technology, Amaravati; and JK Lakshmipat University, Jaipur. She was a recipient of the Central Sector Scheme Scholarship awarded by CBSE and the Ministry of Human Resource Development, Government of India, during 2008–2012.

Her research interests include time series analysis and data mining, machine learning, deep learning, Edge AI, IoT, wearable sensing, and intelligent healthcare systems. Her recent research focuses on multimodal Human Activity Recognition, wearable health monitoring, sensor-based anomaly detection, and resource-efficient AI for edge devices. She is currently involved in research projects on Edge-enabled Digital Twins for smart healthcare and multimodal health monitoring using Edge AI. Her research contributions are published under the author name A. Anjali.

Other Details

 

Number of PhD Students Graduated: 3 (2 Full-Time, 1 Part Time)

Number of M. Tech. Graduated: 24

Number of Publications: 15 (Journals), 11(Conferences), h-index: 6,  i10 index: 4

Number of Projects: 4

Number of Keynote/Invited Talks Delivered: 08

Number of Committee Memberships: 03

Academic Qualifications

 

Degree

Year

Subject

University/Institution

PhD

2020

IT

IIIT, Allahabad

M. Tech.

2014

IT

IIIT, Allahabad

B. Tech.

2012

CSE

University Institute of Engineering and Technology, CSJM University Kanpur (State Government University)

Research Interests

 

Time Series Data Mining, Time Series Analysis, Machine Learning, Deep Learning, Edge AI, IoT, Wearable sensing, and Intelligent healthcare systems.

Selected Publications

 

  1. Manan Kinger, A. Anjali, Om Jee Pandey, and Hong-Ning Da, “Chaotic Map-based Encryption for IoT Text Data via Evolutionary Algorithm Optimization,” Applied Soft Computing Volume 202, Part A, 2026, https://doi.org/10.1016/j.asoc.2026.115765. (Q1, IF-6.6)
  2. A. Kumar, A. S. Yadav, A. Anjali, M. Ati and A. Khan, "HC-CSBA: Hash-Chained Collaborative Swarm-Based Batch Authentication for Secure UAV Communications in Satellite–Terrestrial Integrated Networks," in IEEE Open Journal of the Communications Society, vol. 7, pp. 9733-9745, 2026, doi: 10.1109/OJCOMS.2026.3720564.(Q1, IF-6.2)
  3. K. J. Satwik, A. Anjali, M. K. Shukla, O. J. Pandey, and A. M. Tripathi, “FAOSPA: Frequency-Adaptive Orthogonal Spatio-temporal Perturbation Attack for Exploiting Vulnerabilities in Video Anomaly Detection,” IEEE Transactions on Artificial Intelligence, 2026. (Q1)
  4. R. Arora, A. Anjali, A. Kumar, V. Kadam, O. J. Pandey, and H. N. Dai, “A Self-Updating Hybrid Meta-Learning Framework for IoT Traffic Classification,” IEEE Internet of Things Journal, 2026. (Q1, IF-8.9).
  5. A. Kumar, M. Malhotra, A. Anjali, and A. S. Yadav, “A Low-Latency Post-Quantum Group Authentication Framework for VANETs,” IEEE Networking Letters. (Q1, IF-3.3)
  6. Apoorv Bedmutha, A. Anjali, & Aditya Trivedi, “Securing the private smart home: lightweight digital certificates for resource-constrained IoT networks.” Cluster Computing 28, 896, 2025. (Q1, IF 4.1)
  7. Vishal Krishna Singh, Niharika Anand, Krishna Sharma S, A. Anjali, Mahendra K. Shukla, Rajkumar Singh Rathore, Weiwei Jiang, “Low-Light Image Enhancement for Edge-Based Security Surveillance in 6G-IoT Visual Systems,” IEEE Internet of Things Journal, Nov. 2025, DOI: 10.1109/JIOT.2025.3629839. (Q1, IF-8.9).
  8. Navneet Sagar, Astitva Kamble, Mahendra K. Shukla, A. Anjali, and Om Jee Pandey, “ ABAE-RTN: A Deep Learning Framework for Robust Physical Layer Security in Radio Transformer Networks,” IEEE Transactions on Artificial Intelligence, Nov. 2025, DOI:10.1109/TAI.2025.3630644. (Q1)
  9. A. Anjali, Vrijendra Singh, and Jitendra Kumar, " GSSX: Golden Section-Based Symbolic Representation for Reducing Time Series Dimensionality," International Journal of Data Science and Analytics, 20, 5537–5554 (2025). https://doi.org/10.1007/s41060-025-00780-5. (Q1, IF-2.9)
  10. Aditya Raj, A. Anjali, Vishal Krishna Singh, and Vijay Bhaskar Semwal, "Mapping Urban Heat Islands in Pune, India: Ecological Impacts and Environmental Challenges," Remote Sensing Letters, Taylor and Francis, 2025. (Q2, IF-1.5)
  11. Jitendra Kumar, Deepika Saxena, Jatinder Kumar, Abhilash Bhadoria, A. Anjali,  and Ashutosh Kumar Singh, "A hybrid neural network and cooperative PSO model for dynamic cloud workloads prediction," Computing 107, 72, 2025. (Q2, IF-3.6)
  12. Anjali, H. -N. Dai, J. Kumar and O. J. Pandey, "AERed: An Autoencoder–Decoder Dimensionality Reduction Method for Wearable-Based Human Activity Recognition," in IEEE Sensors Journal, vol. 23, no. 23, pp. 29804-29814, 1 Dec.1, 2023. (Q1, IF-4.3)
  13. Anjali, D. Singh, O. J. Pandey, and H. -N. Dai, "STCNN: Combining SMOTE-TOMEK With CNN for Imbalanced Classification of Alzheimer's Disease," in IEEE Sensors Letters, vol. 8, no. 3, pp. 1-4, March 2024. (Q2, IF-2.8)
  14. Anjali and Vrijendra Singh, “CLR-based deep convolutional spiking neural network with validation based stopping for time series classification," Applied Intelligence, Springer, 50, 830–848, Oct. 2019. (Q2, IF-5.3)
  15. Anjali and Vrijendra Singh, “CNN-VSR: A deep learning architecture with validation based stopping rule for time series classification," Applied Artificial Intelligence, Taylor and Francis, Vol. 34, Issue 2, Pages 101-124, 18 Jan. 2020. (Q1, IF-2.8)

Competitive Grant(s)

 

Sl

Grant (Project/ Consultancy)

Funding Agency

PI/Co-PI

1

 Edge-Enabled Digital Twin for Multimodal Human Activity Recognition and Health Anomaly Detection in Smart Homes ANRF-PMECRG

PI

2

 Design and Development of Edge-AI Enabled Multimodal Smart Health monitoring System for Early Anomaly Detection I-DAPT HUB Foundation, IIT (BHU) PI
3

Wellness Sense: Autonomous System for Smart Preventive Lifestyle Management

IIT Mandi iHub and HCi Foundation

 PI
4

Channel Equalized LSTM Architecture with Attention for Multi-modal Human Activity Recognition Research

FIG, ABV-IIITM Gwalior

PI

Faculty Development / Management Development / Workshops / Conferences

 

SN

Title

Period

Sponsoring Organization

Venue

From

To

1.

Virtual Workshop on No-SQL Databases for Analytics

14-03-22

16-03-22

VIT-AP University Amaravati

VIT-AP University Amaravati

2.

Workshop on

Technological challenges in Digital Financial Inclusion

20/04/2023

21/04/2023

 

TIIC, ABV-IIITM, Gwalior

TIIC, ABV-IIITM, Gwalior

3

Workshop on Emerging Topics of Computer Vision and Multimedia

19/04/2024

20/4/2024

TIIC, ABV-IIITM, Gwalior

TIIC, ABV-IIITM, Gwalior

4

Advance E-SDP on Startup Awareness for SC/ST Women

31/01/25

4/02/25

Ministry of MSME, Government of India

ABV-IIITM, Gwalior

5

Online Social Network Analysis

9/02/25

9/02/25

TIIC, ABV-IIITM, Gwalior

TIIC, ABV-IIITM, Gwalior

6

Winter Faculty Development Programme on IoT Applications with Sensors, Embedded Systems, and Data Analytics

17/02/25

28/02/25

E&ICT Academy,

Online

7.

From Model to Market: Integrating Generative AI into Human-Focused Product Design

 

26/09/25

30/09/25

FIG, ABV-IIITM

ABV-IIITM Gwalior

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