Faculty.
– Ph.D.: High Performance Computing using Machine Learning, KL University, Hyderabad, persuading
– PG: M.Tech (CSE), Jawaharlal Nehru Technical University, Kakinada, Vijyawada,2010
– UG: B.Tech (CSE), West Bengal University of Technology, 2006
– Teaching Experience: 14 Years 2 Months
– Research Experience: 3 Years 0 Month
– Industry Experience: 3 Years 0 Month
– Contact Number: +919493862629
– BVRITN Employee ID: 527
– JNTUH Registration ID: 96150402-171950
– AICTE Registration ID: 1-1552100103
Mr. Niladri Sekhar Dey is working as Assoc. Dean for Emerging IT Technologies at BVRIT and responsible for all technological advancements in teaching-learning and research. He is also associated with multiple corporate companies as consultant for education and research. He is one of the Amazon Web Services ambassador for Asia Pacific. He is certified on 19 technologies and delivered more than 1000 students and faculty development programs across the world.
He is the first one in India to receive Drona Award from IBM, Best mentor award from IISc-Bangalore and Best Mentor award from IIM-Bangalore.He completed his graduation from IIIT Kolkata and masters from JNTU. He is currently pursuing his doctoral research. He has 3 patients and nearly 60 publications on his name. He is also the reviewer for many international journals like IEEE Transactions and IEEE Access.
Technical skills include Node JS, Angular JS, React JS, R, Python, MATLAB, Java, AWS RDS, SQL & No – SQL Databases, Oracle 10g, Microsoft, SQL Server 2008, AWS RDS, IBM Bluemix Database (DB2), SQL, PL/SQL, Transact-SQL, Data Sciences, Cloud Computing, Big Data Analytics, Machine Learning, Security Analysis, Bootstrap Development, Agile Software Development, DevOps, Block Chain, Business Process Automation, Deep Learning, Neural Programming, Sentiment Extraction, AR & VR.
1. A Non-Traditional Analysis of PSO Variants and Applicability with Challenges of Predictive Load Balancing Strategy (Submitted to Wireless Personal Communications, SCI – Q1), 2022
2. Bio-Inspired Load Balancing Strategy for Cloud-Based Data Centre with Predictive Machine Learning Approach and Comparative Analogies (Computers, Materials & Continua, SCI – Q2), 2022
3. A Comprehensive Survey of Load Balancing Strategies Using Hadoop Queue Scheduling and Virtual Machine Migration (IEEE Access), 2019
4. Performance Analysis of Cloud Databases Handling Social Networking Data, 2013 IEEEInternational Conference on Cloud Computing in Emerging Markets (IEEE CCEM), 2013
5. Progressive Analysis on Twitter-Social Data Using Cloud, International Journal of Computer Science & Engineering Technology (IJCSET), 2013 (Peer Reviewed)
6. Cloud Based Ranking System on Clustered Databases, International ACM Conference in 2013
7. An Application on Cloud Based Ranking System with Clustered Database, IEEE Second International Conference on Informatics and Applications (ICIA),2013 (Peer Reviewed)
8. Predictive Analysis of Solar Panel Performance with Cloud Services, International Journal of Computer Science & Engineering Technology (IJCSET), 2013 (Peer Reviewed)
9. Analysis of Environmental Parameters Influencing Solar Cell Power Generation, International Journal of Advanced Research in Computer Science & Technology (IJARCST), 2014 (Peer Reviewed)
1. A structured approach for learner centric digital eLearning: Vishnu massive online open courses: A cloud-based eLearning portal, IEEE International Conference on MOOC, Innovation and Technology in Education (MITE), 2014
2. Speech and Speaker Recognition System Using Artificial Neural Networks and Hidden Markov Model, IEEE International Conference on Communication Systems and Network Technologies (CSNT), 2012
1. Data Science
2. Big Data Analytics
3. Agile Software Development
4. Business Process Automation using Pega
5. Cloud Computing for Application Developer
6. Cloud Computing for Data Scientist
7. Cloud Computing for Machine Learning Scientist
8. Cloud Computing for SolutionsArchitect
9. Cloud Computing for Web Development Engineer
10. Data Sciences with R
11. Data Sciences with Python
12. Artificial Intelligence
13. Machine Learning & Deep Learning
14. MATLAB for AI
