Specialization

Speech and Image Processing, Audio Spoof Detection, Audio Signal Processing, Machine, Chaos based Encryption

Email

nidhi.chakravarty@thapar.edu

Google Scholar 
https://scholar.google.com/citations?user=HrRp5KkAAAAJ&hl=en
 

Education
1.    PhD in Computer Engineering (2020-2024) from National Institute of Technology Kurukshetra.
2.    M. Tech. in Information Technology (2018-2020) from Guru Gobind Singh Indraprastha University, New Delhi.
3.    B. Tech. in Computer Science and Engineering ( 2012-2016) from Dr. A. P. J. Abdul Kalam Technical University, Lucknow.
Experience
1.    Assistant Professor, Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India (July 2024 – present)

Journal publications
1.    Mohit Dua, Anil Kumar, Nidhi Chakravarty, and Shelza Dua, "Feistel-inspired and novel hybrid chaotic maps based robust encryption scheme for satellite imagery", Earth Science Informatics, vol. 19, no. 6, 85, 2026. 
2.    Mohit Dua, Khushi Goyal, Shelza Dua, and Nidhi Chakravarty, "ThetaFusion+: A Chaotic-DNA-Based Novel Image Encryption Framework for Secure Satellite Image Transmission", Advances in Space Research, 2026.
3.    Mohit Dua, Pragya Jain, Tijil Juneja, Shagun Khosla, Nidhi Chakravarty, Shelza Dua, "Video Encryption and Decryption using Sine Transformed 3-D ILM", Franklin Open, 100630, 2026.
4.    Nidhi Chakravarty and Mohit Dua, "Lightweight noise robust spoofing attack detection using Cochleagram and ResNet amalgamated features", Physica Scripta, vol. 100, no. 2, 026016, 2025. DOI: 10.1088/1402-4896/ada9ad.
5.    Nidhi Chakravarty and Mohit Dua, "Erlang spectrogram and residual network-based features for fake audio detection", IETE Journal of Research, vol. 71, no. 4, pp. 1134-1140, 2025. DOI: 10.1080/03772063.2025.2453882.
6.    Mohit Dua, Rahul Bhogal, Shelza Dua, and Nidhi Chakravarty, "Satellite image encryption using amalgamation of randomized three chaotic maps and DNA encoding", Physica Scripta, vol. 100, no. 1, 015241, 2025.
7.    Mohit Dua, Nidhi Chakravarty, Sanivarapu Ganga Priya Reddy, Anshika Bansal, Sushmita Pawar, Shelza Dua, "MelCochleaGram-DeepCNN: sequentially fused spectrogram and the DeepCNN classifiers-based audio spoof detection system", IETE Journal of Research, vol. 71, no. 1, pp. 65-70, 2025.
8.    Mohit Dua, Anshul Tailor, Shelza Dua, and Nidhi Chakravarty, "Noise Robust Multi-Carrier Modulation Recognition Using Novel Integration of STFT-Autoencoder and Fine-Tuned CNN", IETE Journal of Research, 2025.
9.    Nidhi Chakravarty and Mohit Dua, "Review and analysis of audio spoof countermeasures: an attack perspective", International Journal of Speech Technology, pp. 1-31, 2025. 
10.    Mohit Dua, Rahul Kumar, Shelza Dua, and Nidhi Chakravarty, "A novel one-dimensional chaotic map, novel diffusion and DNA encoding-based image encryption scheme", International Journal of Dynamics and Control, vol. 13, no. 5, 166, 2025. 
11.    Mohit Dua, Md Aasif Raza, Nidhi Chakravarty, Shelza Dua, "A lightweight method for early detection of diabetic retinopathy using fundus image", Network Modeling Analysis in Health Informatics and Bioinformatics, vol. 14, no. 1, 86, 2025.
12.    Nidhi Chakravarty and Mohit Dua, "A lightweight feature extraction technique for deepfake audio detection", Multimedia Tools and Applications, vol. 83, no. 26, pp. 67443-67467, 2024.
13.    Nidhi Chakravarty and Mohit Dua, "An improved feature extraction for Hindi language audio impersonation attack detection", Multimedia Tools and Applications, vol. 83, no. 25, pp. 66565-66590, 2024.
14.    Nidhi Chakravarty and Mohit Dua, "Feature extraction using GTCC spectrogram and ResNet50 based classification for audio spoof detection", International Journal of Speech Technology, vol. 27, no. 1, pp. 225-237, 2024.
15.    Mohit Dua, Bhavesh Bhagat, Shelza Dua, and Nidhi Chakravarty, "A review on Gujarati language based automatic speech recognition (ASR) systems", International Journal of Speech Technology, vol. 27, no. 1, pp. 133-156, 2024. 
16.    Nidhi Chakravarty and Mohit Dua, "Publicly available datasets analysis and spectrogram-ResNet41 based improved features extraction for audio spoof attack detection", International Journal of System Assurance Engineering and Management, vol. 15, no. 12, pp. 5611-5636, 2024.
17.    Nidhi Chakravarty and Mohit Dua, "Data augmentation and hybrid feature amalgamation to detect audio deep fake attacks", Physica Scripta, vol. 98, no. 9, 096001, 2023. 
18.    Nidhi Chakravarty and Mohit Dua, "Spoof detection using sequentially integrated image and audio features", International Journal of Computing and Digital Systems, vol. 13, no. 1, pp. 1-1, 2023. 
19.    Nidhi Chakravarty and Mohit Dua, "Noise robust ASV spoof detection using integrated features and time delay neural network", SN Computer Science, vol. 4, no. 2, 127, 2022. 

Conference publications
1.    Nidhi Chakravarty and Mohit Dua “Audio Deepfake Detection in Emotion-Aware Scenarios: Performance on Real vs. Fake Samples”2nd International Conference on Integrated Circuits, Communication, And Computing System. 2026
2.    Mohit Dua and Nidhi Chakravarty, “Replay Attack Detection: A Group Delay Cepstral Perspective”, in Dynamics of Information Systems (DIS 2025), Springer, Lecture Notes in Computer Science, Middlesex University London, vol. 15940, pp. 365-378, 2026.
3.    Nidhi Chakravarty and Mohit Dua, “Detection of Audio Spoofing Attack Using Integrated Hand-Crafted Features”, in Beyond Artificial Intelligence: Select Proceedings of the International Conference, AICTA 2023, Punjab Engineering College Chandigarh, Springer Nature, pp. 205-210, 2025.
4.    Rhythm Narang, Bhavya Goyal, Shreyansh Srivastava, Yashav Aggarwal, Nidhi Chakravarty, and Jaspreet Kaur, “Multi-Level Replay Attack detection using YamNet embeddings and Machine Learning Classifiers”, in 2nd International Conference on Systems, Control and Automation (ICSCA-2025), NIT Kurukshetra, 2025.
5.    Nidhi Chakravarty and Mohit Dua, “NRASV: Noise robust ASV system for audio replay attack detection”, in International Conference on Deep Learning, Artificial Intelligence and Robotics, NIT Kurukshetra, Springer Nature Switzerland, pp. 639-647, 2024.
6.    Nidhi Chakravarty and Mohit Dua, “Audio spoof detection using deep residual networks based feature extraction: Unveiling synthetic, replay and mimicry threats”, in International Conference on Recent Innovation in Smart and Sustainable Technology (ICRISST), Presidency University Bengaluru, IEEE, pp. 1-5, 2024.
7.    Nidhi Chakravarty and Mohit Dua, “Spectrogram Features and Xception Classifier Based Audio Spoof Detection System”, in International Conference on Computer, Electronics, Electrical Engineering & their Applications (IC2E3), NIT Uttarakhand, IEEE, pp. 1-5, 2024.
8.    Nidhi Chakravarty and Mohit Dua, “Audio Deepfake Detection using Gammatone Spectrogram and DeepCNN classifier”, in First International Conference on Recent Advances in Smart Energy Systems & Intelligent Automation (RASESIA 2024), NIT Kurukshetra, 2024.
9.    Nidhi Chakravarty, Mohit Dua, and Shelza Dua, “Automatic modulation classification using amalgam CNN-LSTM”, in 2023 IEEE Radio and Antenna Days of the Indian Ocean (RADIO), Radio Society Mauritius, IEEE, pp. 1-2, 2023.
10.    Mohit Dua, Shivam Meena, and Nidhi Chakravarty, “Audio deepfake detection using data augmented graph frequency cepstral coefficients”, in 2023 International Conference on System, Computation, Automation and Networking (ICSCAN), IEEE, pp. 1-6, 2023.
 

Book publication
1.    Mohit Dua, Nidhi Chakravarty, and Shelza Dua, “Audio Spoof Detection from Theory to Practical Application”, CRC Press, 2026.
Book Chapter publications
1.    Nidhi Chakravarty and Mohit Dua, “ResAttNet-ADD: A ResNet50-Based Attention Model for Audio Deepfake Detection”, Scrivener Publishing, 2026.
2.    Nidhi Chakravarty and Mohit Dua, “Securing Automatic Speaker Verification Systems using Residual Networks”, in Enhancing Steganography Through Deep Learning Approaches, IGI Global, 2025.

Honours and Achievements

1.    Two Times GATE Qualified (2017, 2020)
2.    UGC Net qualified for Assistant Professor (2018)