BHUBANESWAR - 751029, INDIA

UG

1.Programming in C

2.Machine Learning

3.Data Mining and Data Warehousing

4.Database Management System

5.Software Engineering

6.Data Structures using C

7. Object-Oriented Programming

8.IOT

PG

1.Machine Learning

2.IOT

3.Data Mining

Blockchain, Machine Learning, Geospatial Computing

O9 M.Tech Students

1. Bebortta, S., Das, S. K., Kandpal, M., Barik, R. K., & Dubey, H. (2020). Geospatial serverless computing: Architectures, tools and future directions. ISPRS International Journal of Geo-Information, 9(5), 311.

2. Das, Saneev Kumar and Pant, Meenakshi and Bebortta, Sujit, Geospatial Data Analytics : A Machine Learning Perspective (Social Science Research Network),Elsevier (May 13, 2020).

3. Kandpal, M., & Kandpal, A. (2012). Critical Analysis of Traditional Size Estimation Metrics for Object Oriented Programming. International Journal of Computer Applications, 58(13), 39-45.

4. Kandpal, M., & Kandpal, A. (2014). Establishing correlation between size estimation metrics and effort-A statistical approach. International Journal of Computer Applications, 95(21), 1-6.

1. Barik, R. K., Gudey, S. K., Reddy, G. G., Pant, M., Dubey, H., Mankodiya, K., & Kumar, V. (2017, December). FogGrid: Leveraging fog computing for enhanced smart grid network. In 2017 14th IEEE India Council International Conference (INDICON) (pp. 1-6). IEEE.

2. International Geominetech Symposium on New Technology Management and Safety: in Mining and Mineral based Industries 18^th ANNUAL CONFERENCE Coinciding With National Technology Day Celebrations

3. Naik, M., Barik, L., Kandpal, M., Patra, S. S., Jena, S., & Barik, R. K. (2021, May). EVMAS: an energy-aware virtual machine allocation scheme in Fog Centers. In 2021 2nd International Conference for Emerging Technology (INCET) (pp. 1-6). IEEE.

4. Mist assisted cloud computing framework for prediction of hypertension attack.

5. Mudali, G., Priyadarshini, R., Kandpal, M., Barik, R. K., & Roy, D. S. (2022). Mist Assisted Cloud Computing Framework for Prediction of Hypertension Attack. In Intelligent Systems: Proceedings of ICMIB 2021 (pp. 677-685). Singapore: Springer Nature Singapore.

6. Goswami, V., Mishra, M. R., Kandpal, M., Chakraborty, J., Patra, S. S., & Barik, R. K. (2022, December). Performance Analysis of queueing assisted Blockchain system. In 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) (pp. 2059-2063). IEEE.

7. Kandpal, M., Das, C., Misra, C., Sahoo, A. K., Singh, J., & Barik, R. K. (2022, November). Blockchain assisted Supply Chain Management System for Secure Data Management. In 2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC) (pp. 1-6). IEEE.

8. Kandpal, M., Sharma, B., Barik, R. K., Chowdhury, S., Patra, S. S., & Dhaou, I. B. (2023, January). Human Activity Recognition in Smart Cities from Smart Watch Data using LSTM Recurrent Neural Networks. In 2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) (pp. 1-6). IEEE.

9. Meena, V. P., Singh, S., Kandpal, M., Barik, R. K., & Singh, V. P. (2021, November). SCA Assisted Reduced-Order Modelling of Interval Modelled Doha Water Treatment Plant. In 2021 IEEE 2nd International Conference on Applied Electromagnetics, Signal Processing, & Communication (AESPC) (pp. 1-6). IEEE.

1. One Week Faculty Development Program, Organised by Wipro under Mission 10X, Greater Noida, UP.

2. Two Days seminar on Real Time DBMS, Organised by Galgotia Institute of Technology, Greater Noida, UP.

3. One Day Seminar on Networking, Organised by KIET, Gaziabad, U.P.

4. Three-day Faculty Development Program on Internet of Things organized by dept of CSE, CET from 19/04/2019 to 21/04/2019.

5. Series of Expert Lecturers on Dynamic Programming, Data Mining, and Wireless Sensor Network organized by dept of CSE, CET from 29/08/2019 to 30/08/2019.

6.    Four Day National Workshop Cum Faculty Development Program on Data and Security organized by dept of CSE, CET from 16/010/2019 to 19/10/2019.

03

1. Kandpal, M., Barik, R. K., Misra, C., & Das, S. K. (2021). Towards Data Storage, Availability and Scalability with the Aid of Blockchain. Trends in Wireless Communication and Information Security: Proceedings of EWCIS 2020, 189-196.

2. Lenka, S. R., Pant, M., Barik, R. K., Patra, S. S., & Dubey, H. (2021). Investigation into the efficacy of various machine learning techniques for mitigation in credit card fraud detection. In Evolution in Computational Intelligence: Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 1 (pp. 255-264). Springer Singapore.

3. Barik, R. K., Kandpal, M., Dubey, H., Kumar, V., & Das, H. (2019). Geocloud4GI: cloud SDI model for geographical indications information infrastructure network. Cloud Computing for Geospatial Big Data Analytics: Intelligent Edge, Fog and Mist Computing, 215-224.