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Master of Technology (M.Tech.), JUIT


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

Swati Bhalaik

Assistant Professor of Practice and Assistant Dean

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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, with a focus on applying Machine Learning, Deep Learning, Generative AI, and Big Data in real-world contexts. Before joining academia, she spent 7 years as a Data Scientist, where she led data-driven projects for prominent clients in the banking and insurance sectors. Her professional work involved transforming large, complex datasets into actionable business insights, optimizing processes, and operational efficiency.

Her expertise extends beyond her industry experience, as she is actively engaged in research, particularly in the field of Deep Learning. Her research interests include exploring the latest AI techniques and their practical applications in solving complex challenges. As an academic, she strives to bridge the gap between theory and practice, ensuring enhanced learning experience with a strong technical foundation and an understanding of how these technologies apply in the business world. 
 

Data Visualisation with Tableau

A CNN integrated with Sliding Window Technique to enhance classification of MI-EEG Sensor data, Kamal Singh, Nitin Singha, Gaurav Jaswal, Swati Bhalaik in IEEE Sensors Journal, DOI: 10.1109/JSEN.2024.3515252.

Performance Modelling and Analysis of WDM Optical Networks under Wavelength Continuity Constraint using MILP, Swati Bhalaik, Ashutosh Sharma, Rajiv Kumar, Neeru Sharma in Recent Advances in Electrical & Electronic Engineering Volume 13, Issue 2, 2020.
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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