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Master of Technology (M.Tech.), JUIT

Bachelor of Technology (B.Tech.), Himachal Pradesh University

Prof. Swati Bhalaik

Assistant Professor of Practice | Assistant Dean (Office of Acceleration, Impact and IoE)

Email swati.bhalaik@jgu.edu.in
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ORCID ID 0009-0006-7969-4595
Key Expertise Advanced Machine Learning, Convolutional Neural Network (CNN), Deep Learning, Bioinformatics, Natural Language Processing, Human Activity Recognition

Master of Technology (M.Tech.), JUIT

Bachelor of Technology (B.Tech.), Himachal Pradesh University

Biography

Swati Bhalaik is an Assistant Professor of Practice specializing in the application of Machine Learning, Deep Learning, Generative AI, and Big Data to solve real-world business challenges. With over seven years of industry experience as a Data Scientist, she has led data-driven initiatives for leading clients in the banking and insurance sectors, focusing on transforming complex datasets into actionable insights, enabling strategic decision-making, and enhancing operational efficiency.

Her academic and research interests lie in the practical deployment of advanced AI techniques, particularly in Deep Learning, to address complex business problems. She is committed to bridging the gap between analytical theory and managerial practice, ensuring that technological concepts are contextualized within business decision-making frameworks.

She teaches a diverse set of courses including Generative AI, Machine Learning, Introduction to Python, Big Data Technologies, Prescriptive Analytics, Database Management Systems (DBMS), and Tableau. Her pedagogy emphasizes experiential learning, case-based discussions, and hands-on application, equipping students with both technical proficiency and the ability to translate data insights into business value.

Her work reflects a strong focus on preparing future business leaders to effectively leverage data and AI in a rapidly evolving digital economy. Currently she is also pursuing her Ph.D. at the National Institute of Technology (NIT) Delhi.
 

Data Visualisation with Tableau

K. Singh, N. Singha, and S. Bhalaik, "CCLNet: multiclass motor imagery EEG decoding through extended common spatial patterns and CNN-LSTM hybrid network," The Journal of Supercomputing, vol. 81, no. 7, p. 805, 2025.

K. Singh, N. Singha, A. K. Sharma, S. Bhalaik, and C. Kumar, "A novel approach to optimized electrode selection and data augmentation for MI-EEG data," IEEE Signal Processing Letters, 2025.

K. Singh, N. Singha, A. K. Sharma, S. Bhalaik, and C. Kumar, "Optimized EEG sensor electrode configuration for motor imagery decoding with minimal accuracy loss and reduced cost," IEEE Sensors Letters, 2025.

K. Singh, N. Singha, G. Jaswal, and S. Bhalaik, "A novel CNN with sliding window technique for enhanced classification of MI-EEG sensor data," IEEE Sensors Journal, vol. 25, no. 3, pp. 4777–4786, 2024.

S. Bhalaik, A. Sharma, R. Kumar, and N. Sharma, "Performance modeling and analysis of WDM optical networks under wavelength continuity constraint using MILP," Recent Advances in Electrical & Electronic Engineering, 2020.
Email swati.bhalaik@jgu.edu.in
ORCID ID 0009-0006-7969-4595
Key Expertise Advanced Machine Learning, Convolutional Neural Network (CNN), Deep Learning, Bioinformatics, Natural Language Processing, Human Activity Recognition
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