Research Publications

Know more about the publications we hold across various departments

BITS emphasises innovation by translating ideas into a continuous commitment to research and knowledge creation. In addition, we also emphasise contribution through the novel and useful patentable inventions.

13247

PILANI

7322

HYDERABAD

4638

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1685

DUBAI

Pilani Chemical Engineering

Maran Beena, A., & Pani, A. K. (2021). Fault detection of complex processes using nonlinear mean function based Gaussian process regression: application to the Tennessee eastman process. Arabian Journal for Science and Engineering, 46(7), 6369-6390.

Faculty: Dr. Ajaya Kumar Pani

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Pilani Chemical Engineering

Siddharth, K., Pathak, A., & Pani, A. K. (2019). Real-time quality monitoring in debutanizer column with regression tree and ANFIS. Journal of Industrial Engineering International, 15, 41-51.

Faculty: Dr. Ajaya Kumar Pani

know more

Pilani Chemical Engineering

Singh, H., Pani, A. K., & Mohanta, H. K. (2019). Quality monitoring in petroleum refinery with regression neural network: Improving prediction accuracy with appropriate design of training set. Measurement, 134, 698-709.

Faculty: Dr. Ajaya Kumar Pani

know more

Pilani Chemical Engineering

Morey, A., Pradhan, S., Kumar, R. A., Pani, A. K., Vijayan S, V., Jain, V., & Gupta, A. (2019). Pollutant monitoring in tail gas of sulfur recovery unit with statistical and soft computing models. Chemical Engineering Communications, 206(1), 69-85.

Faculty: Dr. Ajaya Kumar Pani

know more

Pilani Chemical Engineering

Pani, A. K., & Mohanta, H. K. (2016). Online monitoring of cement clinker quality using multivariate statistics and Takagi-Sugeno fuzzy-inference technique. Control Engineering Practice, 57, 1-17.

Faculty: Dr. Ajaya Kumar Pani

know more

Pilani Chemical Engineering

Pani, A. K., Amin, K. G., & Mohanta, H. K. (2016). Soft sensing of product quality in the debutanizer column with principal component analysis and feed-forward artificial neural network. Alexandria Engineering Journal, 55(2), 1667-1674.

Faculty: Dr. Ajaya Kumar Pani

know more

Pilani Chemical Engineering

Pani, A. K., & Mohanta, H. K. (2015). Online monitoring and control of particle size in the grinding process using least square support vector regression and resilient back propagation neural network. ISA transactions, 56, 206-221.

Faculty: Dr. Ajaya Kumar Pani

know more

Pilani Chemical Engineering

Pani, A. K., & Mohanta, H. K. (2014). Soft sensing of particle size in a grinding process: Application of support vector regression, fuzzy inference and adaptive neuro fuzzy inference techniques for online monitoring of cement fineness. Powder technology, 264, 484-497.

Faculty: Dr. Ajaya Kumar Pani

know more

Pilani Chemical Engineering

Pani, A. K., Vadlamudi, V. K., & Mohanta, H. K. (2013). Development and comparison of neural network based soft sensors for online estimation of cement clinker quality. ISA transactions, 52(1), 19-29.

Faculty: Dr. Ajaya Kumar Pani

know more

Pilani Chemical Engineering

Pani, A. K., & Mohanta, H. K. (2011). A survey of data treatment techniques for soft sensor design. Chemical Product and Process Modeling, 6(1).

Faculty: Dr. Ajaya Kumar Pani

know more

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Research and Innovation:
Publications

Advances in neurological research highlight breakthrough therapies

Know more about the publications we hold across various departments

Maran Beena, A., & Pani, A. K. (2021). Fault detection of complex processes using nonlinear mean function based Gaussian process regression: application to the Tennessee eastman process. Arabian Journal for Science and Engineering, 46(7), 6369-6390.

Siddharth, K., Pathak, A., & Pani, A. K. (2019). Real-time quality monitoring in debutanizer column with regression tree and ANFIS. Journal of Industrial Engineering International, 15, 41-51.

Singh, H., Pani, A. K., & Mohanta, H. K. (2019). Quality monitoring in petroleum refinery with regression neural network: Improving prediction accuracy with appropriate design of training set. Measurement, 134, 698-709.

Morey, A., Pradhan, S., Kumar, R. A., Pani, A. K., Vijayan S, V., Jain, V., & Gupta, A. (2019). Pollutant monitoring in tail gas of sulfur recovery unit with statistical and soft computing models. Chemical Engineering Communications, 206(1), 69-85.

Pani, A. K., & Mohanta, H. K. (2016). Online monitoring of cement clinker quality using multivariate statistics and Takagi-Sugeno fuzzy-inference technique. Control Engineering Practice, 57, 1-17.

Pani, A. K., Amin, K. G., & Mohanta, H. K. (2016). Soft sensing of product quality in the debutanizer column with principal component analysis and feed-forward artificial neural network. Alexandria Engineering Journal, 55(2), 1667-1674.

Pani, A. K., & Mohanta, H. K. (2015). Online monitoring and control of particle size in the grinding process using least square support vector regression and resilient back propagation neural network. ISA transactions, 56, 206-221.

Pani, A. K., & Mohanta, H. K. (2014). Soft sensing of particle size in a grinding process: Application of support vector regression, fuzzy inference and adaptive neuro fuzzy inference techniques for online monitoring of cement fineness. Powder technology, 264, 484-497.

Pani, A. K., Vadlamudi, V. K., & Mohanta, H. K. (2013). Development and comparison of neural network based soft sensors for online estimation of cement clinker quality. ISA transactions, 52(1), 19-29.

Pani, A. K., & Mohanta, H. K. (2011). A survey of data treatment techniques for soft sensor design. Chemical Product and Process Modeling, 6(1).

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Integrated First Degree

Higher Degree

Doctoral Programmes

WILP

Dubai Campus

Give us your feedback

Upload Screenshot

Research and Innovation: Publications

Advances in neurological research highlight breakthrough therapies

Know more about the publications we hold across various departments

Maran Beena, A., & Pani, A. K. (2021). Fault detection of complex processes using nonlinear mean function based Gaussian process regression: application to the Tennessee eastman process. Arabian Journal for Science and Engineering, 46(7), 6369-6390.

Siddharth, K., Pathak, A., & Pani, A. K. (2019). Real-time quality monitoring in debutanizer column with regression tree and ANFIS. Journal of Industrial Engineering International, 15, 41-51.

Singh, H., Pani, A. K., & Mohanta, H. K. (2019). Quality monitoring in petroleum refinery with regression neural network: Improving prediction accuracy with appropriate design of training set. Measurement, 134, 698-709.

Morey, A., Pradhan, S., Kumar, R. A., Pani, A. K., Vijayan S, V., Jain, V., & Gupta, A. (2019). Pollutant monitoring in tail gas of sulfur recovery unit with statistical and soft computing models. Chemical Engineering Communications, 206(1), 69-85.

Pani, A. K., & Mohanta, H. K. (2016). Online monitoring of cement clinker quality using multivariate statistics and Takagi-Sugeno fuzzy-inference technique. Control Engineering Practice, 57, 1-17.

Pani, A. K., Amin, K. G., & Mohanta, H. K. (2016). Soft sensing of product quality in the debutanizer column with principal component analysis and feed-forward artificial neural network. Alexandria Engineering Journal, 55(2), 1667-1674.

Pani, A. K., & Mohanta, H. K. (2015). Online monitoring and control of particle size in the grinding process using least square support vector regression and resilient back propagation neural network. ISA transactions, 56, 206-221.

Pani, A. K., & Mohanta, H. K. (2014). Soft sensing of particle size in a grinding process: Application of support vector regression, fuzzy inference and adaptive neuro fuzzy inference techniques for online monitoring of cement fineness. Powder technology, 264, 484-497.

Pani, A. K., Vadlamudi, V. K., & Mohanta, H. K. (2013). Development and comparison of neural network based soft sensors for online estimation of cement clinker quality. ISA transactions, 52(1), 19-29.

Pani, A. K., & Mohanta, H. K. (2011). A survey of data treatment techniques for soft sensor design. Chemical Product and Process Modeling, 6(1).

Keep Exploring

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Research and Innovation:
Publications