In the realm of academia and research, Shiva Agarwal currently serves as an Assistant Professor within the Computer Science and Engineering department at Siksha 'O' Anusandhan. His academic journey is marked by a dedicated pursuit of knowledge, currently manifested in his ongoing doctoral endeavors at the Centre of Excellence in Artificial Intelligence, IIT Kharagpur, under the mentorship of Dr. Debdeep Mukhopadhyay and Dr. Ayantika Chatterjee.

The focus of Shiva's PhD research lies in the domain of Secure Machine Learning, wherein he actively engages in the implementation of fully homomorphic encryption (FHE) on embedded devices. Additionally, his research delves into the development of static and dynamic frameworks for ransomware detection. This scholarly commitment underscores his deep-seated passion for advancing the field and addressing contemporary challenges.

Shiva Agarwal holds a Master's degree in Computer Science and Engineering from NIT Silchar, where his academic prowess shone through in his thesis on Stock Market Price Prediction and Portfolio Optimization. Under the guidance of Dr. Naresh Babu Muppalaneni, he adeptly employed mean-variance optimization and efficient frontier strategies in his research. During his Master's journey, Shiva demonstrated his research acumen by publishing a journal and a conference paper, contributing valuable insights to the academic community.

Evidencing his proficiency in diverse programming languages and cutting-edge technologies, Shiva is adept in C, Java, Python, Data Science, Natural Language Processing, and Artificial Intelligence. His qualifications extend beyond academia, as he has successfully qualified the Gate Exam twice, achieving a notable percentile of 95%.

Open to collaborative opportunities in the realms of research, teaching, and coding, Shiva Agarwal stands as a resourceful and dynamic professional, poised to contribute significantly to the academic and technological landscape.

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