Hello!

I’m Arun Amaithi Rajan, Senior Engineer at Qualcomm, Chennai. I am part of the Hypervisor Team, contributing to the development of a secure hypervisor. I did my Ph.D. at the College of Engineering Guindy, Anna University under the guidance of Dr. V. Vetriselvi. I was part of the Security Research Lab, where my research focuses on multimedia security, encompassing image encryption, and privacy-preserving image retrieval. Further, I explore cryptographic techniques such as secure computation, encrypted data processing, blockchain technologies, zero-knowledge verification, adversarial attack-resistant learning, and with a keen interest in leveraging LLMs for security applications.

I have contributed to various research articles in high-end journals and conferences. Prior to my doctoral studies, I accumulated over two years of industry experience as a firmware security engineer at Micron Technologies, Singapore. In this role, I was involved in client and enterprise NVMe SSD projects, developing secure firmware, resolving critical bugs, and creating internal tools. Additionally, I have completed a five-month internship with PayPal’s security team in Singapore, where I worked on Intel SGX and Attribute-Based Encryption (ABE) techniques.

Education

• College of Engineering Guindy, Anna University - Ph.D. in Computer Science and Engineering (January 2022 – January 2026) (Thesis on Secure Medical Image Storage and Retrieval Techniques in the Cloud)
• School of Computing, National University of Singapore - Master of Computing (August 2018 – January 2020)
• College of Engineering Guindy, Anna University - B.E. in Computer Science and Engineering (August 2014 – April 2018)

Publications

Indian Patents

• Secure Biometric-based Access Control System Using Blockchain With Zero Knowledge Proof (Filed on 2024)

International Journals

• Aruna Gladys A, Aishwarya R, Vetriselvi V, Daphne Samuel, Baskar P.N and Arun Amaithi Rajan, Building Expert Small Models: A Comprehensive Survey of Model Compression, Knowledge Distillation, and Augmented Inference (Archives of Computational Methods in Engineering 2026)
• Arun Amaithi Rajan, Vetriselvi V, Mayank Raikwar and H. Mohamed Fuzail, ESecMedIR: Efficient and Secure Dual-level Transformer based Medical Image Retrieval Framework in the Cloud (Computers and Electrical Engineering 2025)
• Arun Amaithi Rajan, Vetriselvi V, Ajitesh M and Praveen Kumar R, Secure and Fault Tolerant Cloud Based Framework for Medical Image Storage and Retrieval in a Distributed Environment (Scientific Reports 2025)
• Arun Amaithi Rajan, Vetriselvi V, Mayank Raikwar and Reshma Balaraman, SMedIR: Secure Medical Image Retrieval Framework with ConvNeXt-based Indexing and Searchable Encryption in the Cloud (Journal of Cloud Computing 2024)
• Ajitesh M, Deekshith M, Arun Amaithi Rajan, Vetriselvi V and Hemanth D, EdgeShield: Attack Resistant Secure and Privacy-aware Remote Sensing Image Retrieval System for Military and Geological Applications using Edge Computing (Earth Science Informatics 2024)
• Arun Amaithi Rajan and Vetriselvi V, Systematic survey: Secure and Privacy-preserving Big Data Analytics in Cloud (Journal of Computer Information Systems 2023)

International Conferences

• Sudeep Ravichandran, Riya Elizabeth Kuriyan, A. Aruna Gladys, Vetriselvi V and Arun Amaithi Rajan, LogREx: Reasoning-Enabled LLM and Knowledge Graph Based Anomaly Detection in System Logs (Sixth Congress on Intelligent Systems 2026)
• Arun Amaithi Rajan and Vetriselvi V, Privacy or Performance? Towards Secure and Scalable Medical Image Storage and Retrieval Management in the Cloud (Proceedings of the 18th Innovations in Software Engineering Conference 2025)
• Arun Amaithi Rajan, Vetriselvi V, Aishwarya R and Anitha Amaithi Rajan, Efficient and Lightweight Framework for Confidential Medical Image Search using Edge Computing (IEEE CINS, UAE 2024)
• Mohamed Ihsan P.M, Arun Amaithi Rajan, Vetriselvi V, Gautham Kumar G and Praveen Kumar R, Qcrypt: Advanced Quantum-based Image Encryption for Secure Satellite Data Transmission (IEEE ICEEICT, India 2024) (Received Best Paper Award)
• Arun Amaithi Rajan, Vetriselvi V and Aruna Gladys A, Secure Image Encryption Model for Cloud-based Healthcare Storage using Hyperchaos and DNA Encoding (Springer ICCIDS, India 2023) (Received Best Paper Award)
• Vetriselvi V, Pragatheeswaran Sridharan, Thirunavukkarasu Varatharajan and Arun Amaithi Rajan, Preventing Forgeries by Securing Healthcare Data Using Blockchain Technology (Springer ICT4SD, India 2020)

Awards & Recognitions

• Received the Go-Getters Award at Qualcomm for outstanding contributions.
• Received the Excellent Execution Award and Employee Achievement STAR Award at Micron for outstanding contributions.
• Ranked 6th in the B.E (Computer Science and Engineering) program at Anna University.

Certitfications

• Completed 3 Coursera courses: Google Project Management, Quantum Information, and Principles of Secure Coding .
• Completed 3 NPTEL courses: Deep Learning, Quantum Computing, and Online Privacy.

Milestones and Experiences

• Apr 03, 2026: Delivered an invited talk on Secure IoT Systems and Firmware Security: Bridging Artificial Intelligence and Cybersecurity at VIT, Chennai.
• Mar 23, 2026: Delivered an invited talk on Secure Healthcare Data Processing with Confidential Computing at Vel Tech, Chennai.
• Feb 22, 2025: Presented my research article at the Doctoral Symposium of ISEC 2025, NIT Kurukshetra.
• Nov 24, 2024: Delivered an invited talk on EdgeShield at the International Conference on Space Science and Technology, Dubai.
• May 24, 2023: Gave an invited lecture on Secure Big Data Analytics in Healthcare at an Online FDP on Data Analytics & AI in Healthcare, hosted by an affiliated engineering college to Anna University.
• Jan 18, 2022: Conducted an expert session on Introduction to Intel SGX at the AICTE Short-Term Online Training Program on Cyber Security, Anna University, Chennai.
• Led R&D projects, mentoring 3 UG teams and 2 PG students in secure image retrieval, quantum computing, blockchain security, steganography, and LLM security.
• Supervised projects that resulted in more technical research articles.
• Presented my research papers at International Security Conferences in the UK and UAE.
• Completed a two-week AI & Big Data Analytics in Healthcare Workshop at Taiwan Medical University during Dec 11-22, 2017.