Associate Editor: IEEE SMC 2019.
Lead Guest Editor (Associate Editor): Special Issue of ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) (SCI Indexed with Impact Factor 2.87).
Lead Guest Editor (Associate Editor): Special Issue of Multimedia Tools and Applications, Springer (SCI Indexed with Impact Factor 2.1).
The OPTIMAL research group focusses on the following research problems:
- Optimization methods and models for non-parallel support vector machines
- Detection of human brain disorders using machine learning approaches
- On classification and predition of Alzheimer's disease using machine learning techniques
- Development of novel machine learning algorithms for automated detection of seizure using EEG signals
- Digital forensic knowledge integration and intelligence (DIREKT-Intel
M. Tanveer, A. Tiwari, R. Choudhary, S. Jalan (2019), Sparse pinball twin support vector machines, Applied Soft Computing, Elsevier. [SCI Indexed with Impact Factor: 3.907]
Eric-Juwei Cheng, Kuang-Pen Chou, Shantanu Rajora, Bo-Hao Jin, M. Tanveer, Chin-Teng Lin, Ku-Young Young, Wen-Chieh Lin, Mukesh Prasad (2019), Deep sparse representation classifier for facial recognition and detection system, Pattern Recognition Letters, Elsevier. [SCI Indexed with Impact Factor: 1.952]
B. Richhariya, M. Tanveer (2019) A fuzzy universum support vector machine based on information entropy. In: Tanveer M., Pachori R. (eds) Machine Intelligence and Signal Analysis. Advances in Intelligent Systems and Computing, vol 748. Springer, Singapore
M. Dalal, M. Tanveer, R.B. Pachori (2019) Automated identification system for focal EEG signals using fractal dimension of FAWT-based sub-bands signals. In: Tanveer M., Pachori R. (eds) Machine Intelligence and Signal Analysis. Advances in Intelligent Systems and Computing, vol 748. Springer, Singapore
B. Richhariya, M. Tanveer (2018), A robust fuzzy least squares twin support vector machine for class imbalance learning. Applied Soft Computing, Elsevier, 71:418-432. [SCI Indexed with Impact Factor: 3.907]
B. Richhariya, M. Tanveer (2018), EEG signal classification using universum support vector machine. Expert Systems with Applications, Elsevier, 106: 169-182. [SCI Indexed with Impact Factor: 3.928]
Swastik Gupta, Konduri Hari Krishna, R.B. Pachori, M. Tanveer (2018), Fourier-Bessel series expansion based technique for automated classification of focal and non-focal EEG signals. International Joint Conferences on Neural Network (IJCNN), July 08-13, 2018, Rio, Brazil [Core Rank: A].