Bias discovery and quantification in visual data  (Oct, 2020 - Present)

Verification of multimedia content using deep learning  (Oct, 2022 - Present)

Fairness-aware machine learning for multimedia data  (Nov, 2022 - Present)

Reliable synthetic visual media analysis using uncertainty estimation approaches under open-ended environments  (Jun, 2024 - Present)

Deep Learning Applications for the Categorization and Detection of Internet Image Memes  (Oct, 2022 - Jul, 2023)

Evidence Verification for Enhanced Automated Fact-Checking using Deep Learning Techniques  (Feb, 2023 - Mar, 2024)

Recognition of Celebrities in Visual News Material using Incremental Learning in Convolutional Neural Networks and Vision Transformer  (Feb, 2023 - Nov, 2023)

Human activity recognition using smartwatch data  (Nov, 2023 - Jul, 2024)

Detection of Image Manipulations Created Using Convolutional Neural Networks and Diffusion Models  (Feb, 2024 - Nov, 2024)

Training strategies for synthetic image classification models for robustness in perturbations  (Feb, 2024 - Dec, 2024)

Analysis & Risk Assessment of Popular Generative AI Image Synthesis Models  (Mar, 2024 - Dec, 2024)

Compression of DeepFake models on Android mobile phones  (Mar, 2024 - Jul, 2024)

Reducing the energy requirements of artificial neural networks in training & inference  (Mar, 2024 - Jul, 2024)

Scene text detection  (May, 2022 - Jul, 2022)

Scene text recognition  (Oct, 2022 - Dec, 2022)

Mitigating Bias Transfer in Fair Multi-task Learning  (Sep, 2022 - Nov, 2022)

A CLIP-based siamese approach for meme classification  (Feb, 2023 - May, 2023)

AI-Generated Image Inpainting Detection  (Feb, 2024 - May, 2024)

Appearance-based Clustering for Fairness Analysis in Face Recognition  (Apr, 2024 - May, 2024)

Geolocation Estimation Assisted by Multimodal Learning  (Sep, 2024 - Mar, 2025)