Reshma Rastogi
Reshma Rastogi
Assistant Professor
Department of Computer Science
Room No.314,Akbar Bhawan,Chankyapuri,New Delhi- 110021,India
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Profile

Ms.Reshma Khemchandani received Ph.D. in Mathematical Programming Applications in Machine Learning from Indian Institute of Technology, Delhi in 2008. Her recent interest includes Machine learning,Financial Mathematics and Optimization.Earlier she had a Bachelor's Degree in Sciences (Mathematics) from Maitreyi College, University of Delhi, in 2001 and Post Graduation in Mathematics in 2003 from Indian Institute of Technology, Delhi. She worked for approximately Six years with Royal Bank of Scotland Algorithmic Trading Group, Gurgaon. She has published 16 research papers ( Machine Learning and Finance ) in International journals and 6 research papers in refereed conference proceedings.She has co-authored book on Financial Mathematics- An Introduction: S.Chandra, S.Dharmaraja, A.Mehra, R.Khemchandani, Narosa Publication, 2012. Currently, she is Assistant Professor in the Faculty of Mathematics and Computer Science at South Asian University, New Delhi,India.


 Ph.D Thesis Supervise "TIME-EFFICIENT VARIANTS OF TWIN SUPPORT VECTOR MACHINE WITH APPLICATIONS IN IMAGE PROCESSING" < Details Click Here >


 

Qualifications

  • PhD in Mathematical Programming Applications in Machine Learning from Indian Institute of Technology Delhi , in 2008

Recent Publications

  • Reshma Rastogi, Pooja Saigal, and Suresh Chandra. "Angle-based twin parametric-margin support vector machine for pattern classification." Knowledge-Based Systems 139 (2018): 64-77.

  • Reshma Khemchandani,  Aman Pal, and Suresh Chandra. "Fuzzy least squares twin support vector clustering." Neural computing and applications 29.2 (2018): 553-563.

  • Reshma Rastogi, Sweta Sharma, and Suresh Chandra. "Robust parametric twin support vector machine for pattern classification." Neural Processing Letters 47.1 (2018): 293-323.

  • Reshma Rastogi, Pritam Anand, and Suresh Chandra. "A ν-twin support vector machine based regression with automatic accuracy control." Applied Intelligence 46.3 (2017): 670-683.

  • Reshma Khemchandani, Pooja Saigal, and Suresh Chandra. "Angle-based twin support vector machine." Annals of Operations Research (2017): 1-31.

  • Pooja Saigal, Vaibhav Khanna, and Reshma Rastogi. "Divide and conquer approach for semi-supervised multi-category classification through localized kernel spectral clustering." Neurocomputing 238 (2017): 296-306.

  • Reshma Khemchandani, Keshav Goyal, and Suresh Chandra. "Generalized eigenvalue proximal support vector regressor for the simultaneous learning of a function and its derivatives." International Journal of Machine Learning and Cybernetics (2017): 1-12.

  • Reshma Rastogi, Pritam Anand, and Suresh Chandra. "L1-norm Twin Support Vector Machine-based Regression." Optimization 66.11 (2017): 1895-1911.

  • Reshma Khemchandani and Aman Pal. "Tree based multi-category Laplacian TWSVM for content based image retrieval." International Journal of Machine Learning and Cybernetics 8.4 (2017): 1197-1210.

  • Reshma Rastogi  and Pooja Saigal. "Tree-based localized fuzzy twin support vector clustering with square loss function." Applied Intelligence 47.1 (2017): 96-113.

  • Reshma Khemchandani, Pooja Saigal, and Suresh Chandra. "Improvements on ν-twin support vector machine." Neural Networks 79 (2016): 97-107.

  • Reshma Khemchandani and Aman Pal. "Multi-category laplacian least squares twin support vector machine." Applied Intelligence 45.2 (2016): 458-474.

  • Reshma Khemchandani and Sweta Sharma. "Robust least squares twin support vector machine for human activity recognition." Applied Soft Computing 47 (2016): 33-46.

  • Reshma Khemchandani,  Avikant Bhardwaj, and Suresh Chandra. "Single asset optimal trading strategies with stochastic dominance constraints." Annals of Operations Research 243.1-2 (2016): 211-228.

  • Reshma Khemchandani, Keshav Goyal, and Suresh Chandra. "TWSVR: regression via twin support vector machine." Neural Networks 74 (2016): 14-21.

  • Reshma Khemchandani and Pooja Saigal. "Color image classification and retrieval through ternary decision structure based multi-category TWSVM." Neurocomputing 165 (2015): 444-455.

Research Interests

  • Machine Learning
  • Optimization
  • Optimal Trading Strategies
  • Image Processing

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