Faculty & Staff
Contact
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Email
amira3ke@gmail.com
- Websites
Mr. Amir Khurshid
amira3ke@gmail.com
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School/College
School of Social Sciences
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Department
Department of Data Sciences And Analytics
I have done B.TECH and M.TECH from ALIGARH MUSLIM UNIVERSITY. After that I worked as an assistant professor for 2 years followed by working as a machine learning engineer for 3 years. In 2021, I joined BITS Pilani for my PhD where my topic was “Development of advanced machine learning algorithms for fault detection in non-linear industrial systems”. I have submitted my thesis
Qualifications
- PhD(Thesis SUBMITTED)
Bits Pilani, 2026
- M.TECH
Aligarh Muslim University, 2015
- B.TECH
Aligarh Muslim University , 2013
Experience
Total Years of Experience5 Years
Academic Experience
2 Years
Industry Experience
3 Years
AI/ML, computer vision, anomaly detection, RAG/LLM
Under review
Published papers
bookInternational Conference Papers
- Khurshid, A. and Pani, A.K., 2024, August. Optimizing Process Monitoring Efficiency through Control Limit Adjustment in Multivariate EWMA Charts. In 2024 Control Instrumentation System Conference (CISCON) (pp. 1–5). IEEE.
- Khurshid, A., Ali, A.M. and Pani, A.K., 2025, December. Fault Detection Using Kernel Nonnegative Matrix Factorization. In 2025 IEEE 22nd India Council International Conference (INDICON) (pp. 1–5). IEEE.
International Journal Papers
- Khurshid, A. and Pani, A.K., 2023. Machine learning approaches for data-driven process monitoring of biological wastewater treatment plant: A review of research works on benchmark simulation model No. 1 (BSM1). Environmental Monitoring and Assessment, 195(8), p.916.
- Khurshid, A. and Pani, A.K., 2024. An integrated approach combining randomized kernel PCA, Gaussian mixture modeling and ICA for fault detection in non-linear processes. Measurement Science and Technology, 35(7), p.076208.
- Khurshid, A., Mohanta, H.K., Garg, G.K. and Pani, A.K., 2025. Non-negative matrix factorization combined with Fuzzy C-means enhanced k-nearest neighbor for fault detection and diagnosis in process industries. Journal of Loss Prevention in the Process Industries, p.105837.
- Bharatwaj, G., Khurshid, A., Venkatavijayan, S. and Pani, A.K., 2025. Industrial process monitoring using support vector data description: A systematic review and application for fault detection in multiphase flow system. Flow Measurement and Instrumentation, p.103031.
- Khurshid, A., Shamsuzzoha, M. and Pani, A.K., 2026. Kernel matrix reduction using randomization and its implementation in different kernel techniques for real time industrial process monitoring. Measurement Science and Technology, 37(24), p.246201.
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