Associate Professor at CHARUSAT, India
Dr. Nirav H. Bhatt is an accomplished academic and researcher with a Ph.D. in AI/ML from CHARUSAT. He has over 15 years of experience in teaching, mentoring, and research. Dr. Bhatt has guided more than 50 students, both at the Master’s and Bachelor’s levels, and is recognized as a top-performing mentor by NPTEL. His research, which focuses on low-latency processing and data analytics, has been presented at prestigious international conferences and published in renowned journals. He has also conducted expert talks and seminars on big data and database systems at multiple institutions. Dr. Bhatt has received numerous awards, including recognition from AICTE and Texas Instruments, and has played a pivotal role in promoting NPTEL courses in regional languages. With technical expertise in machine learning, cloud computing, and data science, he continues to contribute significantly to both academia and industry.
Professional Profile
Education
Dr. Nirav H. Bhatt has a strong academic foundation with a Ph.D. in AI/ML from CHARUSAT, completed in 2022. Prior to his doctorate, he earned a Master’s degree in Computer Engineering (M.E.C.E.) from DDU in 2009 with a score of 66.33%, and a Bachelor’s degree in Information Technology (B.E.I.T.) from Gujarat University in 2006, where he scored 63.76%. He also holds a Diploma in Information Technology (D.I.T.) from TEB, which he completed in 2003 with an impressive score of 71.62%. His academic journey reflects a consistent dedication to computer science and technology. Dr. Bhatt’s doctoral thesis focused on a novel approach for low-latency processing in stream data, further contributing to the field of AI and machine learning. His educational achievements are complemented by certifications such as Microsoft Certified MTA in Database Fundamentals, highlighting his expertise and ongoing commitment to professional growth.
Professional Experience
Dr. Nirav H. Bhatt has over 15 years of professional experience in academia and research. Since 2008, he has been a faculty member at Charotar University of Science and Technology (CHARUSAT), where he currently serves as the Head of the Department of AI-ML and an Associate Professor. During his tenure, Dr. Bhatt has significantly contributed to the development of the AI/ML curriculum and research programs. He has also held a position as an Assistant Professor at C. U. Shah College of Engineering and Technology for a year. Dr. Bhatt has played a pivotal role as a mentor, guiding over 50 students in computer science and receiving recognition as a top-performing mentor by NPTEL. Additionally, he has conducted expert talks, seminars, and online courses in areas such as big data analytics and database systems. His experience extends to industry training with leading organizations, strengthening his practical knowledge in machine learning, cloud computing, and data science.
Research Interest
Dr. Nirav H. Bhatt’s research interests primarily lie in the fields of Artificial Intelligence (AI), Machine Learning (ML), Big Data, and Data Science. His work focuses on developing innovative solutions for low-latency processing in stream data, with an emphasis on enhancing the efficiency and scalability of data-driven systems. Dr. Bhatt’s doctoral research, which introduced a novel approach to stream data processing, has contributed significantly to advancing the understanding of real-time data analytics. His expertise also extends to cloud platforms such as Google Cloud and AWS, where he explores the integration of machine learning algorithms in cloud environments to handle large-scale data processing. Additionally, he is passionate about data visualization, the application of AI in database systems, and the development of intelligent systems for big data analytics. His research is aimed at solving practical challenges in academia and industry, particularly in optimizing data processing and machine learning models for real-world applications.
Award and Honor
Dr. Nirav H. Bhatt has received numerous awards and honors in recognition of his contributions to academia and research. Notably, he has been awarded by AICTE and Texas Instruments for fostering collaboration between government, academia, and industry, particularly through his coordination of the “TI Embedded System Design using MSP430” MOOC in 2021. Dr. Bhatt has also been recognized for his consistent excellence as a mentor, earning the title of Top Performing Mentor by NPTEL for several consecutive years (2016–2020). His leadership in Swayam-NPTEL courses has garnered multiple accolades, including recognition for his translation work in regional languages for courses such as “Fundamentals of Database Systems” and “Programming in C.” Additionally, he was awarded Best Research Paper Presentation at the SSIC-2019 International Springer Conference and received multiple certifications for his contribution to the CHARUSAT NPTEL Local Chapter, achieving AAA and AA grades over several years. These awards highlight his dedication to education and research.
Conclusion
Dr. Nirav H. Bhatt is an exceptional candidate for the Best Researcher Award. His academic achievements, extensive contributions to the field of AI and ML, as well as his mentoring roles, distinguish him as a leader in both research and education. His awards, recognition by NPTEL, and commitment to research make him a deserving nominee. However, focusing on expanding his international collaborations and enhancing the practical impact of his research could propel him to even greater heights in the academic community. Based on his accomplishments and contributions, he shows a strong potential to receive the Best Researcher Award.
Publications Top Noted
- Smart systems and IoT: Innovations in computing
Authors: AK Somani, RS Shekhawat, A Mundra, S Srivastava, VK Verma
Year: 2020
Citation: 35
- A survey on comparative study of wireless sensor network topologies
Authors: J Soparia, N Bhatt
Year: 2014
Citation: 33
- Performance comparison of different sorting algorithms
Authors: P Prajapati, N Bhatt, N Bhatt
Year: 2017
Citation: 21
- Ranking of classifiers based on dataset characteristics using active meta learning
Authors: N Bhatt, A Thakkar, A Ganatra, N Bhatt
Year: 2013
Citation: 13
- Survey and evolution study focusing comparative analysis and future research direction in the field of recommendation system specific to collaborative filtering approach
Authors: A Patel, A Thakkar, N Bhatt, P Prajapati
Year: 2019
Citation: 11
- An efficient approach for low latency processing in stream data
Authors: N Bhatt, A Thakkar
Year: 2021
Citation: 10
- A review of soft computing techniques for time series forecasting
Authors: A Sanghani, N Bhatt, NC Chauhan
Year: 2016
Citation: 10
- Survey on Anonymization in Privacy Preserving Data Mining
Authors: F Presswala, A Thakkar, N Bhatt
Year: 2015
Citation: 7
- Experimental Analysis on Processing of Unbounded Data
Authors: N Bhatt, A Thakkar
Year: 2019
Citation: 6
- Proceedings of the international conference on ismac in computational vision and bio-engineering 2018 (ismac-cvb)
Authors: D Pandian, X Fernando, Z Baig, F Shi
Year: 2019
Citation: 6
- A survey on issues of data stream mining in classification
Authors: R Jani, N Bhatt, C Shah
Year: 2018
Citation: 6
- Deep learning: a new perspective
Authors: N Bhatt, N Bhatt, P Prajapati
Year: 2017
Citation: 6
- Algorithm selection via meta-learning and active meta-learning
Authors: N Bhatt, A Thakkar, N Bhatt, P Prajapati
Year: 2020
Citation: 5
- Query expansion for effective retrieval from microblog
Authors: S Patel, N Bhatt, C Shah
Year: 2017
Citation: 5
- A survey of information retrieval on microblog
Authors: S Patel, N Bhatt, C Shah
Year: 2017
Citation: 5