Ashok Yadav

About

Ashok Yadav is pursuing his Ph.D at the Indian Institute of Information Technology, Allahabad (IIITA), under the supervision of Professor Vrijendra Singh. As an enthusiastic researcher, his research interests encompass hate speech, cybersecurity, social media security, and natural language processing. He completed his Master of Technology from the Centre for Advanced Studies, AKTU Lucknow.
His research primarily focuses on understanding and addressing social media platforms' security risks and vulnerabilities. He leverages natural language processing techniques to analyze and comprehend the vast amounts of data generated by these platforms. His work involves developing new models and approaches and conducting studies to understand better how people use social media, the potential impacts of social media on society, and strategies to minimize the spread of hateful content on these platforms.

Employment

Employment history is unavailable.

Education

• Indian Institute of Information Technology Allahabad Doctor of Philosophy
  2021 - Present
• Dr A P J Abdul Kalam Technical University Centre for Advanced Studies Master of Technology
  2019 - 2021
• Dr. A.P.J. Abdul Kalam Technical University Bachelor of Technology
  2015 - 2019

Projects & Funding

Projects & funding information is unavailable.

Publications (7)

• An Interpretable Agentic Framework for Multimodal Hate Video Analysis with Explicit Evidence Attribution
  2026 DOI: 10.1145/3774905.3796488
  +Save
• HateFusion: Harnessing Attention-Based Techniques for Enhanced Filtering and Detection of Implicit Hate Speech
  IEEE Transactions on Computational Social Systems 2025 DOI: 10.1109/TCSS.2024.3512573
  +Save
• A Multi-Architecture Approach for Offensive Language Identification Combining Classical Natural Language Processing and BERT-Variant Models
  Applied Sciences 2024 DOI: 10.3390/app142311206
  +Save
• Open-source intelligence: a comprehensive review of the current state, applications and future perspectives in cyber security
  Artificial Intelligence Review 2023 DOI: 10.1007/s10462-023-10454-y
  +Save
• Detecting Malware in Android Applications by Using Androguard Tool and XGBoost Algorithm
  2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) 2022 DOI: 10.1109/upcon56432.2022.9986470
  +Save
• Detecting SQL Injection Attack using Natural Language Processing
  2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) 2022 DOI: 10.1109/upcon56432.2022.9986458
  +Save
• Intrusion Detection and Prevention Using RNN in WSN
  Inventive Computation and Information Technologies 2022 DOI: 10.1007/978-981-16-6723-7_40
  +Save