Yashas Hariprasad, Ph.D. Faculty Profile

Photo of Yashas Hariprasad

Yashas  Hariprasad, Ph.D.

Assistant Professor

Department of Computer Science

Dr. Yashas Hariprasad is currently an Assistant Professor of Computer Science at 不良研究所, East Bay, specializing in artificial intelligence, cybersecurity, digital forensics, and quantum-safe communication. His research advances deepfake detection, secure multimedia systems, and resilient AI-driven cyber defense.

Before joining CSUEB, Dr. Hariprasad worked at VMware as a Security Risk Analyst and contributed to federally funded research at the FINDS Digital Forensic Center of Excellence at Florida International University. His work has appeared in leading venues, including IEEE Transactions on Consumer Electronics, The Conversation, Elsevier, and Springer Nature. He is also a co-author of the book Artificial Intelligence in Practice: Theory and Applications for Cyber Security and Forensics.

Dr. Hariprasad holds a Ph.D. and M.S. in Computer Science from Florida International University and is committed to advancing secure, responsible, and innovative AI technologies while supporting inclusive pathways for student success.

Artificial intelligence, cybersecurity, digital forensics, quantum-safe communication, secure multimedia systems, and resilient AI architectures.

Research interests include deepfake detection, cyber risk analytics, privacy-preserving computation, and the design of trustworthy, secure, and scalable AI-driven systems.

  • Ph.D., Florida International University
  • MS., Florida International University

Fall Semester 2025
Course #SecCourse TitleDaysFromToLocationCampus
CS 41303Analysis of AlgorithmsMW8:00PM9:15PMWEB-SYNCH
CS 47102Security & Info AssuranceMW5:00PM6:15PMWEB-SYNCH
CS 67103CybersecurityTTH4:15PM5:30PMSC-S302

BOOKS AUTHORED/CO-AUTHORED

1. Yashas Hariprasad, SS. Iyengar, H.B. Prasad, “Securing Multimedia in the Age of Deepfakes: AI-Driven Forensics and Quantum-Resilient Cyber Defense,” Springer Nature, (Forthcoming, May 2026)

2. SS. Iyengar, Sina Nabavi, Yashas Hariprasad, H.B. Prasad, Krishna Mohan, “Artificial Intelligence in Practice: Theory and Applications for Cyber Security and Forensics,” Springer Nature, 2025, ISBN-978-3-031-89326-1

3. Jerry F. Miller, Yashas Hariprasad, Ranvir Iyengar, “The Circuit Rider of Mississippi: An Indian Immigrant’s Story in the Post-Jim Crow South,” Penguin Publishers, 2025, ISBN-979-8992573848

 

RESEARCH PUBLICATIONS

Invited Articles:

37. Yashas Hariprasad, S.S. Iyengar, ”Quantum Scheme Protects Videos from Prying Eyes and Tampering,” The Conversation, August 2025. doi:10.64628/AAI.fudg4vajc

Peer-Reviewed Journals:

36. Yashas Hariprasad, Sharan Reddy, Levent Ertaul, ”Toward Quantum-Resilient Multimedia Security: A Survey of Encryption and Forensic Techniques,” IEEE MultiMedia Journal, September 2025 (Accepted).

35. Shashank Gupta, Yashas Hariprasad, S.S. Iyengar, Pronab Mohanty, “Enhancing Digital Security: Quantum-Trained Neural Networks for Robust Deepfake Detection,” ACM Digital Threats: Research and Practice (DTRAP), 2025 (Under Revision).

34. Yashas Hariprasad, SS. Iyengar, Naveen Chaudhary, ”Securing the Future: Advanced Encryption for Quantum-Safe Video Transmission,” IEEE Transactions on Consumer Electronics, 2024, doi: 10.1109/TCE.2024.3473542.

33. SS. Iyengar, Sina, Hemant, Yashas Hariprasad, Naveen Chaudhary, ”Advancing Forensic Science: AI and Knowledge Graphs Unlock New Insights,” Journal of Forensic Research, 15 (2024): 615

32. Yashas Hariprasad, SS. Iyengar, Manjunath Ghate, “Deepfake Video Detection Using Lip Region Analysis with Advanced Artificial Intelligence-Based Anomaly Detection Technique,” Journal of Forensic Research, 15 (2024): 626

31. SS. Iyengar, G. Ganesh, Naveen Chaudhary, Yashas Hariprasad. ”AI-Enhanced Smart Materials and Sensor Optimization for Underwater Soft Robots.” IEEE TechRxiv. July 09, 2024.

30. Thejas GS, Yashas Hariprasad, SS. Iyengar, Sunitha, Badrinath, Chennupati, ”An Extension of Synthetic Minority Oversampling Technique based on Kalman filter for Imbalanced Datasets.” Elsevier, Machine Learning with Applications, 8, 100267, 2022

29. S.S. Iyengar, Yashas Hariprasad, ”The Illusion of Safety: Why Content Moderation Must Fall,” Communications of the ACM , April 2025 (Under Review)

28. Yashas Hariprasad, S.S. Iyengar, Jerry Miller, Pronab Mohanty, Naveen Chaudhary, ”Empowering Future Cybersecurity Leaders: Advancing Students through FINDS Education for Digital Forensic Excellence,” IEEE Access Journal, 2025 (Under Final Review)

27. Jadon, Jeffrey, Anand, Baskar, Prasad, SS. Iyengar, Yashas Hariprasad, ”A Detailed Survey of Cryptocurrency Dynamics: Comparing Bitcoin and Ethereum Blockchain Technologies,” ACM Computing Surveys, July 2024 (Under Review)

26. Yashas Hariprasad, “Orchestrating Robust Deep Learning Neural Networks: A Brooks-Iyengar Symphony,” IEEE Open Access Journal, July 2024 (Under Review).

Referred Conference Papers:

25. Subhash G, Trivikram Satharasi, Yashas Hariprasad, and S.S. Iyengar, ”MedSR-Vision: Deep Learning Framework for Multi-Domain Medical Image Super-Resolution,” International Conference ence on Computational Science & Computational Intelligence (CSCI’25), 2025 (Accepted)

24. Subhash G, Yashas Hariprasad, S.S. Iyengar, Naveen Chaudhary, ”Botnet Detection on CTU-13 Using Lightweight Machine Learning Models,” International Conference on Information Security, Privacy and Digital Forensics (ICISPD), 2025 (Accepted)

23. Yashas Hariprasad, ”Quantum-Resilient Video Encryption: Safeguarding Future Transmissions,” ACM TAPIA Conference, 2024.

22. Yashas Hariprasad, G. Ganesh, SS. Iyengar, Naveen Chaudhary ”Efficient Video Deepfake Detection Using Boundary Hashing and Recurrent Neural Networks,” International Conference on Information Security, Privacy and Digital Forensics (ICISPD), 2024

21. Yashas Hariprasad, Nagarjun TS, Suraj, Latesh Kumar, C. Miller, Naveen Chaudhary, ”AI-ML Analytics: A Comprehensive Investigation on Sentimental Analysis for Social Media Forensics Textual Data,” In Proceedings of Science and Information Conference, pp. 923-935, Springer Nature, 2023

20. Miller, Egharevba, Yashas Hariprasad, Latesh Kumar, and Naveen Chaudhary. ”Cyber Security Attack Detection Framework for DODAG Control Message Flooding in an IoT Network.” In Proceedings of International Conference on Information Security, Privacy and Digital Forensics (ICISPD), pp. 213-230. Springer Nature, 2023.

19. Konrad Sniatala, Yashas Hariprasad, Latesh Kumar, Naveen Chaudhary, Michal Weissenberg, ”Fog Forensics: A Comprehensive Review of Forensic Models for Fog Computing Environment,” In Proceedings of International Conference on Information Security, Privacy and Digital Forensics, (ICISPD), pp. 31-42, Springer Nature, 2023.

18. Yashas Hariprasad, Latesh Kumar, Suraj, SS. Iyengar. ”Boundary-Based Fake Face Anomaly Detection in Videos Using Recurrent Neural Networks.” In Proceedings of Intelligent Systems Conference, pp. 155-169. Springer Nature, 2022.

17. Yashas Hariprasad, Subhash Gurappa, Pronab Mohanty, “Multi-Modal Deep Learning Framework for Forensic Emotion and Behavior Signal Analysis,” “Artificial Intelligence Driven Forensics,” Springer Nature, May 2025

16. Ken Furton, S.S. Iyengar, Yashas Hariprasad, Himali Upadhyay, Rodolof Mesa Martin, Amy L Roda, “Sniffing Out Snails: Artificial Intelligence Powered Canine Forensics of Invasive Species—A Preliminary Study,” “Artificial Intelligence Driven Forensics,” Springer Nature, May 2025

15. Tessy Tom, Yashas Hariprasad, Pronab Mohanty, Anthony Puthuserry, ”Artificial Intelligence Driven Multimedia Forensics: Enhancing Detection, Provenance Analysis, and Robustness Against Manipulations,” “Artificial Intelligence Driven Forensics,” Springer Nature, May 2025

14. Vasanth Iyer, Vamshikrishna Challa, Pronab Mohanty, Yashas Hariprasad, S.S. Iyengar, ”Instruction-Level Fine-Tuning of Gemma-2B for Cybersecurity and Synthetic Log Generation Aligned with MITRE Adversarial Tactics, Techniques, and Common Knowledge,” “Artificial Intelligence Driven Forensics”, Springer Nature, May 2025

13. SS. Iyengar, Sina Nabavi, Yashas Hariprasad, H.B. Prasad, Krishna Mohan, ”Cyber Threat Intelligence and Security for Federated Learning in Digital Forensics.” In Artificial Intelligence in Practice: Theory and Application for Cyber Security and Forensics, pp. 177-199. Cham: Springer Nature, 2025.

12. SS. Iyengar, Sina Nabavi, Yashas Hariprasad, H.B. Prasad, Krishna Mohan, “Detecting and Understanding the Impact of Profile Cloning on Social Media Platforms: A Case Study of LinkedIn.” In Artificial Intelligence in Practice: Theory and Application for Cyber Security and Forensics, pp. 203-225. Cham: Springer Nature, 2025.

11. SS. Iyengar, Sina Nabavi, Yashas Hariprasad, H.B. Prasad, Krishna Mohan, ”Hybrid Detection of Malicious Portable Document Format (PDFs): Safeguarding Against Embedded JavaScript Attacks.” In Artificial Intelligence in Practice: Theory and Application for Cyber Security and Forensics, pp. 257-290. Cham: Springer Nature, 2025.

10. SS. Iyengar, Sina Nabavi, Yashas Hariprasad, H.B. Prasad, Krishna Mohan, ”Future of AI-Driven Digital Forensics.” In Artificial Intelligence in Practice: Theory and Application for Cyber Security and Forensics, pp. 335-364. Cham: Springer Nature, 2025.

9. SS. Iyengar, Sina Nabavi, Yashas Hariprasad, H.B. Prasad, Krishna Mohan, ”Cybersecurity Foundations: Theories, Technologies, and Applications.” In Artificial Intelligence in Practice: Theory and Application for Cyber Security and Forensics, pp. 27-87. Cham: Springer Nature, 2025.

8. SS. Iyengar, Sina Nabavi, Yashas Hariprasad, H.B. Prasad, Krishna Mohan, ”Digital Forensics: Tools, Techniques, and Methodologies.” In Artificial Intelligence in Practice: Theory and Application for Cyber Security and Forensics, pp. 89-137. Cham: Springer Nature, 2025.

7. SS. Iyengar, Sina Nabavi, Yashas Hariprasad, H.B. Prasad, Krishna Mohan, ”Real-Time Aquatic Forensics: Harnessing AI for Efficient Underwater Target Recognition.” In Artificial Intelligence in Practice: Theory and Application for Cyber Security and Forensics, pp. 291-307. Cham: Springer Nature, 2025.

6. SS. Iyengar, Sina Nabavi, Yashas Hariprasad, H.B. Prasad, Krishna Mohan, ”The Evolution of Artificial Intelligence and Machine Learning.” In Artificial Intelligence in Practice: Theory and Application for Cyber Security and Forensics, pp. 3-26. Cham: Springer Nature, 2025.

5. SS. Iyengar, Sina Nabavi, Yashas Hariprasad, H.B. Prasad, Krishna Mohan, ”Privacy-Preserving AI (Federated Learning) for Digital Forensics.” In Artificial Intelligence in Practice: Theory and Application for Cyber Security and Forensics, pp. 161-176. Cham: Springer Nature, 2025.

4. SS. Iyengar, Sina Nabavi, Yashas Hariprasad, H.B. Prasad, Krishna Mohan, ”Temporal Deepfake Generation and Detection in Video Sequences Using Recurrent Neural Networks (RNNs).” In Artificial Intelligence in Practice: Theory and Application for Cyber Security and Forensics, pp. 309-334. Cham: Springer Nature, 2025.

3. SS. Iyengar, Sina Nabavi, Yashas Hariprasad, H.B. Prasad, Krishna Mohan, ”AI-Enhanced Malware Detection: Advancing Security Through Intelligent Threat Identification.” In Artificial Intelligence in Practice: Theory and Application for Cyber Security and Forensics, pp. 227-255. Cham: Springer Nature, 2025.

2. SS. Iyengar, Sina Nabavi, Yashas Hariprasad, H.B. Prasad, Krishna Mohan, ”The Convergence of AI/ML and Cybersecurity: Advancing Digital Forensic Techniques.” In Artificial Intelligence in Practice: Theory and Application for Cyber Security and Forensics, pp. 139-159. Cham: Springer Nature, 2025.

1. Latesh Kumar, Yashas Hariprasad, and Naveen Chaudhary “AI-Powered Correlation Technique to Detect Virtual Machine Attacks in Private Cloud Environment” “AI Embedded Assurance for Cyber Systems,” Springer Nature, 2023

  • Member of IEEE
  • Professional Member of ACM
  • Elected Full Member of Sigma Xi, The Scientific Research Honor Society
  • Invited Reviewer, IEEE Access, ACM Computing Surveys, IEEE MultiMedia, ACM-DTRAP, IEEE Communications Letters, International Journal of Sensors Wireless Communications and Control
  • Member, Information Technology Advisory Committee (ITAC), Academic Senate, 不良研究所, 2025
  • Member, Artificial Intelligence Task Force, Dept. of Computer Science, 不良研究所, 2025
  • Member, Graduate Committee, Dept. of Computer Science, 不良研究所, 2025
  • Member, Outreach Committee, Dept. of Computer Science, 不良研究所, 2025