Scientific Researcher | Experienced Project Developer | Data Scientist | Data Security Engineer

Arvind

I am a seasoned technology professional and researcher with over two decades of experience in designing, architecting, and delivering large-scale, secure, and intelligent digital solutions. Currently, I serve as a Solution Architect at Cognizant in Teaneck, New Jersey, where my work focuses on AI-driven systems, IoT-enabled frameworks, and advanced network and data security architectures that bridge enterprise-scale deployments with cutting-edge research innovation.

I hold a Bachelor of Engineering in Information Technology from Dr. Bhim Rao Ambedkar University, Agra, India, and have built a diverse global career with organizations such as Tata Consultancy Services, CMT Limited, Texport Industries, and Coincap System and Services. As a Software Engineering Specialist, I have made significant contributions to business clients through end-to-end software architecture design, development, and integration across complex domains.

My technical expertise spans Artificial Intelligence, Data Engineering and Data Science, and robust data security frameworks. I have demonstrated strong proficiency in AI/ML/DL-based integration development, implementing resilient security architectures to mitigate cyber threats, and designing advanced software systems for human and animal healthcare, pharmaceutical drug sampling and clinical trial management, and banking platforms.

My research interests include deep learning–based healthcare monitoring, neural learning approaches for 5G network security, and ethical AI models for hyper-automation. I actively contribute to the global research community as a Senior Member of IEEE Communications Society, a Professional Member of ACM, and a Fellow of the Institution of Electronics and Telecommunication Engineers (IETE).

Research & Media Highlights

[June. 2026]Published Researcher — Internet Technology Letters, John Wiley & Sons (Q3, June 2026): "Privacy-Preserving Federated Multimodal Deep Learning for Sepsis Prediction Using Vision Transformers and Secure Aggregation"
[May. 2026] Technological Innovations in Cybersecurity, Ch. 3 in Cybersecurity Leadership and Strategy for Resilience, Innovation and Sustainable Protection, ed. Dr. Hamed Taherdoost, Cambridge Scholar Publications (ISBN: 1-0364-7469-0).
[May. 2026] Key Note SpeakerInternational Conference on Advanced Materials, Sustainable Energy & Environment Title of talk: “Zero Trust on Data Security”
[March. 2026] Key Note Speaker Lasell University Newton, Massachusetts Title of talk: “AI Is Not Your Replacement — It's Your Rocket Fuel”
[March. 2026] U.S. Patent Application (Pub. No. US 2026/0066126 A1) has been officially published by the USPTO!
[Feb. 2026] Received Fellowship from IETE (Institution of Electronics and Telecommunication Engineers), New Delhi, India.
[Nov. 2025] Awarded Grant 344174 from The Research Council of Norway for EuroHPC-prosjekt EuroCC2 National Competence Centres for High Performance Computing (2023-2025).
[Aug. 2025] Paper on "IoT Based Deep Learning Framework for Continuous Healthcare Monitoring of Vital Signs" accepted at 2025 International Conference on Intelligent and Secure Engineering Solutions (CISES).
[Jul. 2025] Paper on "An Intelligent Framework for Real-Time 5G Network Protection Using Multiscale Neural Learning" accepted at 2025 IEEE 4th World Conference on Applied Intelligence and Computing (AIC).
[2025] Published "AI-Driven Ethical Compliance in Hyper Automation: Building Transparent RPA Systems for Regulatory Adherence" at 2025 International Conference on Computing Technologies (ICOCT).

Spotlight Research