Marquee Tag

Prof. Niladri Sekhar Dey

Associate professor & HOD
niladri.dey@bvrit.ac.in

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: 15 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

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

Serial Number

Award / Recognition

Awarding Organization

Year

1

AWS Cloud Faculty Ambassador (One of the among only 3 from Asia)

Amazon Web

Services

2020

2

Best Mentor Award for Joy of Engineering

andInnovation

IISC

2013

3

Best Mentor Award for Joy of Engineering

andInnovation

IIM-B

2013

4

IBM Software Group Certified Trainer

IBM

2009

5

Mentor Microsoft Student Partners –

AndhraPradesh

Microsoft

2009

6

Brand Advocate – Ubuntu Forum

Ubuntu

2009

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)

10. Ryakala Deepika, Surajit Das, Niladri Sekhar Dey, Lavanya G, Mohammed Raashed Hussain, Jeshwanth Panuganti “Comprehensive Analysis of Text Summarization Techniques for Legal documentsGrenze International Journal of Engineering & Technology (GIJET) 10, no. 1 (2024).

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

3. Surajit Das, L. G, S. J. Prakash, N. S. Dey, J. Panuganti and R. Poojitha, “Lung Cancer Detection and Classification using Transfer Learning with Pre-trained VGG19 Convolutional Neural Networks,” 2023 3rd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET), Patna, India, 2023, pp. 1-6, doi: 10.1109/ICEFEET59656.2023.10452195.

4. S. Das, N. S. Dey and M. Mounika, “Automated Brain Tumor Segmentation in MRI : An Enhanced Mask Generation Approach,2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal, IEEE Xplore, 2023, pp. 891-897, doi: 10.1109/I-SMAC58438.2023.10290265

5. N. S. Dey, S. P. K. Reddy and L. G, “Serverless Computing: Architectural Paradigms, Challenges, and Future Directions in Cloud Technology,” 2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal, 2023, pp. 406-414, doi: 10.1109/I-SMAC58438.2023.10290253.

19+ Professional Certifications on Recent     Skills

Serial

Number

Certification Title

Certification

Provider

Year

1

Coursera (10 Certifications on AI, ML & Data Science)

 

Coursera

 

2020

2

AWS Certified Solutions Architect – Associate

(SAA)

AWS

2020

3

AWS Certified Cloud Practitioner (CLF)

AWS

2020

4

Certified System Architect for PRPC 7.1

Pega Systems

2014

5

IBM Certified Lotus Solution Designer

IBM

2012

6

IBM Certified Rational Functional Tester

IBM

2012

7

IBM Certified Rational Application

IBM

2011

8

IBM Certified Advanced Application Developer

IBM

2011

9

IBM Certified Professional (DB2 9.7)

IBM

2010

10

IBM Certified Professional (DB2 8.1)

IBM

2009

11

IBM Certified Professional (DB2 9.1)

IBM

2009

12

IBM Certified Specialist (TSM)

IBM

2009

13

Adobe Certified Flex Designer

Adobe

2009

14

Oracle Certified Professional 9.1

Oracle

2009

15

Developer for WebSphere Software V6

IBM

2009