Dr. Nitesh Singh

Assistant Professor

Dr. Nitesh Singh Bhati is currently working as Assistant Professor in School of Computing Science & Engineering. He has total experience of more than 08 years of teaching and has been associated with Galgotias University since 2022. He is firm Believer of productivity and efficiency in work. He Exhibits an honest work ethic with the ability to excel in fast-paced, time-sensitive environment. Being a passionate teacher, he believes that teaching is not merely restricted to making the students understand the underlying concepts of a course but also to develop critical thinking and evaluate alternate approaches for problem solving.

Experience

5 years of teaching experience

Qualification

D
MTech
Tech

2022	FDP on “Digital Tools for Teaching and Learning” conducted by NITTTR Chandigarh in association with Delhi Technical Campus, Greater Noida UP. FDP on Optimization Techniques in Machine Learning and its Applications ” conducted by Department of Computer Science & Engineering, Chandigarh University, Mohali, Punjab, India. on 18th July - 22nd July 2022. FDP on "Quantum Computing: Challenges and Opportunities", conducted by MIET, Meerut association with Computer Society of India (CSI) Best Paper Award at International Conference on Advancements in Interdisciplinary Research (AIR-2022).
2020	STC on Data Science with Python, conducted by AKGEC Ghaziabad by AICTE STC on Data Science, conducted by NIET Greater Noida sponsored by AICTE Best Paper Award at EAI International Conference on Forthcoming Networks and Sustainability in the IoT Era, For the paper entitled: “A New Intrusion Detection Scheme Using Catboost Classifier”
2019	UGC NET Qualified. “Curriculum Development” Certification conducted by NITTTR Chandigarh inassociation with AIACT&R Govt. of NCT of Delhi FDP on Curriculum Development, conducted by NITTTR Chandigarh, AICTE recognized
2018	FDP on Students Centred Instructional Strategies, conducted by NITTTR Chandigarh AICTE recognized.

Award & Recognition

Research

He has presented Research papers in various National and International conferences & more than 11 Papers Published in various National, international & On -Line Journals

Book Chapters

Federated Machine Learning with Data Mining in Healthcare. In: Yadav S.P., Bhati B.S., Mahato D.P., Kumar S. (eds) Federated Learning for IoT Applications. EAI/Springer Innovations in Communication and Computing. Springer, Cham.
A Comprehensive Study of Intrusion Detection and Prevention Systems. [Wiley, 2022]
Role of IoT, AI, and ML in biomedical devices: A comprehensive review” [IOP Publisher, 2022]

Area of Interest

Network Security
Machine Learning
Operating System
Software Engineering

Other Achievements –

UGC NET 2019-Qualified