Dr. Satyajee Srivastava

Professor

Rating
4.8
Reviews
18
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Brief Profile

Dr. Satyajee Srivastava has over 22 years of teaching and industry experience. He received his Ph.D. in Computer Science and is an Artificial Intelligence developer, researcher, practitioner and educator. He has Publication of 12 Books ,20 patents,3 Copyrights and 100 Articles in Journals of repute. He is an active machine learning researcher and regularly teaches courses and maintains resources for the data scientist. He is a member of the technical program committees for several technical conferences, and editorial member of reputed journals. He has chaired, participated in and presented at conferences and seminars in India and across the world. Apart from academic pursuits, he has shouldered many administrative responsibilities in various capacities. His research has pioneered developments in ensemble learning, outlier detection and profile discovery A.I, Data Science Machine Learning, Big DATA and Green Computing.

Machine Learning, Deep Learning, Computer Vision, Artificial Intelligence

Kumar, Sarvesh. , Srivastava, Satyajee. , Kumar, Surendra. , Kumar, Arun. , Verma, Neeraj. , Kapila, Dhiraj. Filtering Big Data with Optimized Hybrid Algorithm for IoT-Based Data Selection. Journal of Intelligent Systems and Internet of Things, vol. 12, no. 2, 2024, pp. 150- 165. DOI: https://doi.org/10.54216/JISIoT.120211
A. Ranjan, A. Kumar and S. Srivastava, "Optimizing Customer Experience in Online Shopping: A Hyperparameter Tuning Approach," 2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT), Greater Noida, India,2024, pp. 1-5, doi: 10.1109/ICEECT61758.2024.10739048.
Srivastava, S., Raju, K. M., Dudeja, D. D., Berar, G., Shaik, N., & Yadav, A. (2023, November). An investigation of Malware Detection System using Deep Learning on computing Systems. In Proceedings of the 5th International Conference on Information Management & Machine Intelligence (pp. 1-7).
Voore Subrahmanyam, Sarvesh Kumar,Satyajee Srivastava etal.Optimizing horizontal scalability in cloud computing using simulated annealing for Internet of Things,Journal Measurement: Sensors,2023,ISSN 2665-9174
Satyajee Srivastava et al. "A Feature Extraction Using Probabilistic Neural Network and BTFSC-Net Model with Deep Learning for Brain Tumor Classification." Journal of Imaging 9, no. 1 (2022): 10.

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ORCID ID

Awarded with Certificate of Excellence from Microsoft as Microsoft Certified Trainer and NASSCOM, EMC Academic Associate, Data Science and Big Data Analytics and Infosys.
Qualified GATE-2012, organized by various IITs
Machine Learning for All certified by University of London September 2024.