School of Engineering
& Sciences

Foundation to Fly, Metaverse to Thrive

Faculty Achievements

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Dr. Rajat Sharma Invited as Resource Person at National Seminar on NEP 2020

Congratulations to Dr. Rajat Sharma, HoD, Department of Computer Science, School of Engineering and Sciences, GD Goenka University, on being invited as a resource person at a National Seminar on Navigating the New Horizon: Integrating NEP 2020 with Contemporary University Education and Viksit Bharat, organised by YBN University. His contribution reflects the University’s continued engagement with national academic discourse and its commitment to thought leadership in higher education.

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Dr. Rajat Sharma, HoD, Department of Computer Science, School of Engineering and Sciences, GD Goenka University, was invited as a Resource Person at the National Seminar 2025 on “Navigating the New Horizon: Integrating NEP 2020 with Contemporary University Education and Viksit Bharat”, organized by YBN University, Jharkhand on 22-23 December 2025.

Many congratulations to Dr. Rajat for his contribution as an expert in the seminar!

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Dr. Shraddha Agrawal, Assistant Professor

Department of Basic and Applied Sciences, School of Engineering and Sciences, GD Goenka University, published a research paper titled "Probing the effect of divalent transition metals (Mn, Fe, Co & Ni) dopants on ZnS nanoparticles with the enhanced photocatalytic and magnetic properties" in the reputed SCIE | Web of Science indexed journal named "Journal of Magnetism and Magnetic Materials", IF: 3.0, Publisher: Elsevier.

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Dr. Nancy Arya, Associate Professor

Department of Computer Science, School of Engineering and Sciences, GD Goenka University, published a patent titles "Cloud-Integrated System for Continuous Patient Monitoring and Predictive Health Outcome Modeling " published on 26th December 2025, issued by the Indian Patent Office (IPO), Government of India.

About the patent:

This patent describes a cloud-integrated healthcare system that utilizes wearable medical sensors and AI-driven analytics to enable continuous patient monitoring, early anomaly detection, predictive health risk assessment, and secure clinical decision support.

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