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Dr. Bharat Rawal

Professor and head of Grambling State Universitys Department of Computer Science and Digital Technologies Dr. Bharat S. Rawal recently discussed a pair of papers hes authored as he appeared at the 15th International Conference on Computing, Communication and Networking Technologies) ICCCNT is a premier IEEE conference organized at IIT-Mandi, India.

The two papers Dr. Rawal wrote and discussed during the conference were titled Quantum and AI-Enhanced Digital Twin Systems and EUDRL: Explainable Uncertainty-Based Deep Reinforcement Learning for Portfolio Management.

Dr. Rawal said the goal of his papers and conference appearance was to create a unique handshake (authentication procedure RLP protocol) and security (cryptography) mechanism to enable secure communication across several cloud platforms.

The proposed encryption technique (Quantum Safe / Post Quantum Cryptosystem) will withstand attacks from quantum computers, Dr. Rawal said. In addition, we are looking into the issues of shifting to next-generation post-quantum crypto systems in cloud infrastructure. We created an RLP protocol using our own No-Sum (NS) difficult mathematical sequence.

Finding the element of an NS sequence is a challenging task known as NP hard in computer science. The solution exists; however, determining the correct value requires a significant amount of processing power and time. Verification of the solution takes no time.

Dr. Rawal said Google can be greatly beneficial because it provides precise results.

Search results from Google are accurate because their algorithms are among the best in the world, Dr. Rawal said. To increase relevance, they make use of user behavior and latent semantic indexing. Improved AI-enabled search features facilitate finding rapid answers, Google provides response boxes and People Also Ask sections.

Google has a massive database. Its large user base allows it to filter results based on user behavior, which makes sure that relevant content appears first. Users should search for research papers that have been published in peer-reviewed journals, as these publications are subject to a high level of examination which helps to reduce inaccuracies.

But because Google gathers user data, privacy concerns should also be a consideration for users.

Google provides customized results that have the potential to produce filter bubbles, which restrict exposure to a range of viewpoints, Dr. Rawal said.

It also has commercial bias. Google depends on advertisements for its business, which could sway search results. It can also have algorithmic biases where content or opinions may be unintentionally favored by algorithms.

Dr. Rawal said his appearance at the international conference will hopefully spread knowledge of GSUs Science and Digital Technologies programs across the globe.

IIT and NIT are two of Indias most prestigious university systems, as well as internationally recognized educational institutions, Dr. Rawal said. Our goal is to collaborate with these two institutes to foster AI and quantum computing initiatives for all of our partner institutions.

Millions of Indian high school and college students apply to these two famous institutions. Becoming their academic and research partner will help us market our university to the worlds fastest-growing economy and the greatest source of international students to the United States.

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Computer Science head shares Google encryption research at International Technologies Conference - Grambling State University