Welcome to the Home page
of
Ashok Yadav
Deep Learning Lab ( Social Media Analysis, Cyber Security, OSINT, NLP, Computational Science)
Indian Institute of Information Technology, Allahabad
(IIIT Allahabad)
Deep Learning Lab ( Social Media Analysis, Cyber Security, OSINT, NLP, Computational Science)
Indian Institute of Information Technology, Allahabad
(IIIT Allahabad)
Ashok Yadav
Ph.D. Scholar, IIITA (Indian Institute of Information Technology Allahabad)
Ashok Yadav is a dedicated Ph.D. scholar at the Indian Institute of Information Technology Allahabad, working under the guidance of Prof. Vrijendra Singh. His research expertise lies at the intersection of hate speech, cybersecurity, social media security, and natural language processing (NLP). He is keenly interested in exploring innovative approaches to mitigate security risks and vulnerabilities on social media platforms. Mr. Yadav holds a Master of Technology degree from the Centre for Advanced Studies, Lucknow, where his research delved into utilizing NLP techniques for analyzing vast data streams generated by social media. His ongoing work focuses on the development of robust security models and strategies to enhance the security of digital communication systems. Additionally, he investigates the behavioral dynamics of social media users and the broader societal impacts of social media usage. His contributions aim to advance knowledge and provide practical solutions to cybersecurity challenges.
Educational Details
Ph.D. in Information Technology[ July 2021*]
Indian Institute of Information Technology Allahabad, Prayagraj, India
Master of Technology in Computer Science and Engineering (Cyber Security) [2019 - 2021]
Centre for Advanced Studies, Lucknow, India
Bachelor of Technology in Computer Science and Engineering [2015 - 2019]
Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India
Professional Membership
IEEE Graduate Student Member
Membership Number: 98724459
IEEE Robotics & Automation Society (RAS) SB Chapter- IIITA (Chairperson)
IEEE Computer Society Student Branch Chapter- IIITA (Secretary)
Teaching Assistantships
Cryptography
Social Network Analysis
Data Mining
Time Series Data Analysis
Certifications
Courses Certificates
Workshops
Urgent Webcast: Russian Cyber Attack Escalation in Ukraine - What You Need To Know!
Threat-informed Operational Technology (OT) Defense - Securing Data vs. Enabling Physics
Offensive Security Operations with Attack Surface Management and Always-On Pen Testing
OSINT in the era of disinformation and fake news - Bahasa Indonesian
Past Incidents In Ukraine, And What Can We Learn From This War?
Nation-State Cybercrime and the Scary Reality for Your Businesses
The Future of AI: Human Machine Intelligence & Automating the SOC
Decision Automation & AI Technology: Implementing the Next Generation of Detection & Response
FDP Certifications
Event Attended
Research visit: International Institute of Information Technology under ACM India Anveshan Setu Fellowship 2023-24
Research Interest:
Hate Speech
Computational Intelligence
Cyber Security
Social Media Security
OSINT
Deep Learning
Natural Language Processing
Publications
Yadav, A., & Singh, V. (2024). HateFusion: Harnessing Attention-Based Techniques for Enhanced Filtering and Detection of Implicit Hate Speech. IEEE Transactions on Computational Social Systems.
Yadav, A., Khan, F. A., & Singh, V. (2024). A Multi-Architecture Approach for Offensive Language Identification Combining Classical Natural Language Processing and BERT-Variant Models. Applied Sciences, 14(23), 11206.
Yadav, A., Singh, R. & Singh, V., "Contemporary Sentiment Analysis and Classification of Russia-Ukraine War Twitter Data using Machine Learning Approaches,“ 2nd International Conference on Behavioural Finance and other Contemporary Issues (ICBF-23), 2023.
Yadav, A., Kumar, A., & Singh, V. (2023). Open-source intelligence: a comprehensive review of the current state, applications and future perspectives in cyber security. Artificial Intelligence Review, 1-32 (Impact factor = 10.7)
Lakhani, S., Yadav, A., & Singh, V. (2022, December). Detecting SQL Injection Attack using Natural Language Processing. In 2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (pp. 1-5). IEEE.
Kumar, U. S., Yadav, A., & Singh, V. (2022, December). Detecting Malware in Android Applications by Using Androguard Tool and XGBoost Algorithm. In 2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (pp. 1-6). IEEE.
Yadav, A., & Kumar, A. (2022). Intrusion Detection and Prevention Using RNN in WSN. In Inventive Computation and Information Technologies (pp. 531-539). Springer, Singapore.
Media Coverage
Contact
Room No.-5143, CV Raman Computer Center-III, IIIT Allahabad
Residence: Boys Hostel-V, IIIT Allahabad
Phone: +91-8840071479
This webpage is in progress! You may find bugs and unpolished corners. You can share feedback at rsi2021002@iiita.ac.in and stay tuned for updates.