Hello!

I’m Arun Amaithi Rajan, Senior Engineer at Qualcomm, Chennai. 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

• 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, QMedShield: A Novel Quantum Chaos-based Image Encryption Scheme for Secure Medical Image Storage in the Cloud (Journal of Modern Optics 2024)
• Arun Amaithi Rajan and Vetriselvi V, Systematic survey: Secure and Privacy-preserving Big Data Analytics in Cloud (Journal of Computer Information Systems 2023)
• Arun Amaithi Rajan and Anitha Amaithi Rajan, Data Anonymization Techniques for Preserving Privacy in Public Release Data Model: A Technical Review (IJSRCSE 2020)

International Conferences

• 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 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

• 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.