Dr. Kanu Goel

About

Dr. Kanu Goel is currently working as Assistant Professor in the Department of Computer Science & Engineering, Punjab Engineering College, Chandigarh. She holds a B.E. (Computer Engineering), M.E. (Computer Science and Engineering) and Ph.D., all from Thapar Institute of Engineering & Technology, Patiala. She received a Gold Medal for securing top position in M.E. in Computer Science and Engineering from Thapar University, Patiala in 2016.

Her areas of research interests include Machine Learning, Artificial Intelligence, Concept Drift analysis. She has SCIE/Scopus indexed publications in various international journals and conferences.

She has mentored UG and PG students for various technical projects, research guidance and participated in various technical workshops, invited talks, FDPs, and short-term courses. She is serving as reviewer of International Journal of Computational Intelligence Systems, Springer (SCIE), Journal of Industrial and Management Optimization (SCIE), Computational Intelligence, Wiley (SCIE). She has been session chair at ICIVC-2022, Soft Computing Research Society and Technical Program Committee Member of ANTIC-2022, BHU Varanasi, India, Springer. She is member of professional societies IEEE and ACM.

Google Scholar Profile: https://scholar.google.com/citations?user=56Aq6rcAAAAJ&hl=en&oi=sra

Employment

• Punjab Engineering College Assistant Professor
  2023 - Present
• Amity University Punjab Assistant Professor
  2021 - 2023
• Thapar Institute of Engineering and Technology Research Scholar
  2016 - 2021

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (21)

• Enhancing Breast Cancer Diagnosis: Harnessing Deep Learning With Pretrained and Hybrid CNNs for Efficient Mammogram Analysis
  International Journal of Imaging Systems and Technology 2026 DOI: 10.1002/ima.70378
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• A Novel Approach to EEG-Based Schizophrenia Detection Using VMD and Machine Learning Algorithms
  Lecture Notes in Networks and Systems 2025 DOI: 10.1007/978-981-96-2724-0_16
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• A three-stage approach using deep learning for automated vehicle smart parking with license plate recognition
  International Journal of Ad Hoc and Ubiquitous Computing 2025 DOI: 10.1504/IJAHUC.2025.145200
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• Breast Cancer Diagnosis Using Machine Learning and Knowledge Discovery in Data
  Lecture Notes in Networks and Systems 2025 DOI: 10.1007/978-3-031-91008-1_26
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• DynaRLF: A Novel Framework for Dynamic Programming Assisted Reinforcement Learning with Stimulated Feedback for Automation in Decision-Making
  2025 DOI: 10.1007/978-981-96-3352-4_30
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• Machine learning-based hybrid approach for schizophrenia diagnosis using non-stationary EEG signals
  International Journal of Biomedical Engineering and Technology 2025 DOI: 10.1504/IJBET.2025.147087
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• Safeguarding Software-Defined Networks: Comprehensive Frameworks and Best Practices for Security Threat Mitigation
  Recent Advances in Electrical and Electronic Engineering 2025 DOI: 10.2174/0123520965273025231121173901
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• Trustworthy AI in Biometrics: A Comprehensive Review of Trends and Challenges
  Journal of Web Engineering 2025 DOI: 10.13052/jgeu0975-1416.1315
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• A Deep Learning and Image Content Analysis enabled approach for Sustainable Transportation
  Proceedings of Conecct 2024 10th IEEE International Conference on Electronics Computing and Communication Technologies 2024 DOI: 10.1109/CONECCT62155.2024.10677327
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• Fine-tuned regression and statistical assessment of India’s air quality during COVID-19 disease
  International Journal of Environment and Pollution 2023 DOI: 10.1504/IJEP.2023.139849
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