SRICHETA PARUI

About

Currently, I am working as an assistant professor at the School of Computer Engineering at the Kalinga Institute of Industrial Technology (KIIT University), Bhubaneswar, India. I hold a Ph.D. in Computer Science from the esteemed Indian Institute of Technology Kharagpur (IIT-KGP), where my research focused on Artificial Intelligence-based Non-Invasive Brain Signal Processing for Psychophysiological Characteristics Assessment. My academic journey also includes a Master's in Control System Engineering from the Electrical Engineering Department of Jadavpur University (JU), Kolkata, and a Bachelor's in Instrumentation and Control Engineering from Calcutta Institute of Engineering and Management (CIEM), Kolkata. Throughout my academic and professional journey, I have authored numerous research papers and presented my work at renowned international conferences. My expertise lies in DSP, AI, soft computing, machine learning, and control systems. I take pride in my contributions to Brain-Computer Interfaces, Healthcare systems, and Artificial Intelligence. I am humbled to have received several prestigious awards, including the IEEE Computer Society Richard E. Merwin Student and Google Student scholarships. These recognitions motivate me to push the boundaries of innovation and excellence. Feel free to reach out for discussions, research collaborations, or opportunities to contribute to meaningful projects. Let's make a difference through technology and create a better world together.

Employment

• KIIT University Assistant Professor - I
  2023 - Present
• Indian Institute of Technology Kharagpur Senior Research Fellow
  2018 - 2023

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (34)

• Safety Equipment Detection at Construction Site Using YOLOv8 and Varied Color Spaces
  2026 DOI: 10.1007/978-981-95-6013-4_1
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• Enhancing Brain Painting with a Quick Contrast Speller: A Novel BCI Interface for Improved Communication and Creative Expression
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-3-032-08253-4_38
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• Advancing EEG-Based Emotion Detection with Fusion of F-Connectivity and EMD Features and Ensemble Classification
  2025 DOI: 10.1007/978-3-031-87657-8_19
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• Early Detection of Diabetic Retinopathy: An Explainable AI Approach Using DR-NET
  2025 DOI: 10.1007/978-3-031-87657-8_16
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• OptiSelect and EnShap: Integrating machine learning and game theory for ischemic stroke prediction
  Plos One 2025 DOI: 10.1371/journal.pone.0328967
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• Unlocking the Mind: Artificial Intelligence Powered Insights Into Brain Signals and Human Behavior
  Studies in Computational Intelligence 2025 DOI: 10.1007/978-981-96-5585-4_9
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• Unraveling Autism Through FCN Using Hierarchical Support Vector Machine (H-SVM) and Interactive Embedding-K Nearest Neighbors (InEm-KNN)
  2025 DOI: 10.1007/978-3-031-87657-8_14
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• EEG-Based Detection of ADHD: A Comparison of Keyboard and EMOTIV-Controlled Gameplay
  2024 IEEE 6th Phd Colloquium on Emerging Domain Innovation and Technology for Society Phd Edits 2024 2024 DOI: 10.1109/PhDEDITS64207.2024.10838642
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• Predictive Models for Liver Disease: Unraveling Patterns with Machine Learning Algorithms
  2024 IEEE 4th International Conference on Applied Electromagnetics Signal Processing and Communication Aespc 2024 2024 DOI: 10.1109/AESPC63931.2024.10872052
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• Predictive Modeling for Asthma Disease Detection: A Comparative Study of Machine Learning Algorithms
  2024 IEEE 4th International Conference on Applied Electromagnetics Signal Processing and Communication Aespc 2024 2024 DOI: 10.1109/AESPC63931.2024.10872251
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