Chandrasen PandeyCP
Open to opportunities

Chandrasen Pandey

@chandrasenpandey

PhD candidate and Assistant Professor specializing in AI and Machine Learning.

India

What I'm looking for

I seek a collaborative environment that fosters innovation and supports research in AI and Machine Learning.

I am Dr. Chandrasen Pandey, an Assistant Professor in the Department of Computer Science and Engineering at Manipal University. With a strong academic foundation, including a PhD in Computer Science from NIT Meghalaya, I have dedicated my career to advancing knowledge in the fields of Artificial Intelligence and Machine Learning. My research focuses on innovative applications of these technologies, particularly in the context of 5G and IoT.

Throughout my academic journey, I have contributed to various projects funded by MeitY, where I developed a Machine Learning Framework for IoT Analytics over 5G MEC. My work has been recognized through multiple publications in esteemed journals and conferences, showcasing my commitment to pushing the boundaries of technology. I am passionate about teaching and mentoring the next generation of engineers, sharing my expertise in Deep Learning, Software Engineering, and Security and Privacy.

Experience

Work history, roles, and key accomplishments

NM

SRF Under MeitY Funded Project

NIT Meghalaya

Aug 2023 - Present (1 year 10 months)

Continued research as a Senior Research Fellow on the MeitY-funded project, advancing the machine learning framework for IoT analytics over 5G MEC. Led significant aspects of the project, contributing to key research outcomes and publications.

NM

JRF Under MeitY Funded Project

NIT Meghalaya

Aug 2021 - Present (3 years 10 months)

Conducted research as a Junior Research Fellow on a MeitY-funded project, focusing on machine learning frameworks for IoT analytics over 5G MEC. Developed and implemented solutions for advanced data analysis in mobile edge computing environments.

Education

Degrees, certifications, and relevant coursework

National Institute of Technology Meghalaya logoNM

National Institute of Technology Meghalaya

PhD, Computer Science

Grade: 9.7 CGPA

Pursued a doctoral degree with a specialization in Computer Science, focusing on advanced topics such as 5G, Artificial Intelligence, and Mobile Edge Computing. Achieved a high academic standing with a 9.7 CGPA.

AKTU, Lucknow logoAL

AKTU, Lucknow

M. Tech, Computer Science and Engineering

Grade: 72%

Completed a Master of Technology degree in Computer Science and Engineering. Achieved a final percentage of 72%.

AKTU, Lucknow logoAL

AKTU, Lucknow

B.Tech, Computer Science and Engineering

Grade: 69.1%

Obtained a Bachelor of Technology degree in Computer Science and Engineering. Graduated with a 69.1% in the program.

CBSE logoCB

CBSE

Intermediate, PCM

Grade: 60%

Completed Intermediate education with a focus on Physics, Chemistry, and Mathematics (PCM). Achieved a 60% in the examinations.

CBSE logoCB

CBSE

High School, General Subjects

Grade: 6.4 CGPA

Completed High School education with a focus on General Subjects. Achieved a 6.4 CGPA.

Tech stack

Software and tools used professionally

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Chandrasen Pandey - Assistant Professor - Manipal University Jaipur | Himalayas