Dr. Manu Pratap Singh received his Ph.D. in Computer science from Kumaun University Nanital, Uthrakhand, India, in 2001. He has completed his Master of Science in Computer Science from Allahabad University, Allahabad in 1995. Further he obtained the M. Tech. in Information technology from Mysore. He is currently as Associate Professor in Department of Computer Science, Institute of Engineering and Technology, Dr. B.R. Ambedkar University, Agra, UP, India since 2008. He is engaged in teaching and research since last 16 years. He has more than 80 research papers in journals of international and national repute. His work has been recognized widely around the world in the form of citations of my research papers. He also has received the Young Scientist Award in computer science by international Academy of Physical sciences, Allahabad in year 2005. He has guided 18 students for their doctorate in computer science. He is also referee of various international and national journals like International Journal of Uncertainty, Fuzziness and Knowledge Based Systems by World scientific publishing cooperation Ltd, International Journal of Engineering, Iran, IEEE Transaction of fuzzy systems and European journal of operation research by Elsevier. He has developed a feed forward neural networks simulator for hand written character recognition of English alphabets. He has also developed a hybrid evolutionary algorithm for hand written character recognition of English as well as for Hindi language classification. In the hybrid approach the Genetic algorithm is incorporated with back propagation learning rule to train the feed forward neural networks. In this approach the genetic algorithm starts from the suboptimal solution and converges for the optimal solutions. There are more than one optimal solution has obtained. This approach leads for the multi objective optimization phenomena. Another hybrid approach of evolutionary algorithm is developed for the feedback neural network of Hopfield type for efficient recalling for the memorized patterns. Here also the randomness from the genetic algorithm is minimized by starting it from the suboptimal solution in the term of parent weight matrix for the global optimal solutions i.e. correct weight matrices for the network to consider it for efficient pattern recalling.  His research interests are focused on Neural networks, pattern recognition and machine intelligence, soft-computing, etc. He is a member of technical committee of IASTED, Canada since 2004. He is also the regular member of machine intelligence Research Labs (MIR Labs), scientific network for innovation and research excellence (SNIRE), Auburn, Washington, USE, http://www.mirlabs.org, since 2012. His Google citation indices are 9, i10-index is 8 and he has 257 citations. He has been invited as keynote speaker and invited guest speaker in various institutions in India and Abroad.

1.      New Maximally Entangled States for Pattern Associations through Evolutionary Process in a Two-Qubit System.
Manu Pratap Singh & B. S. Rajput
International Journal of Theoretical Physics, SPRINGER, 55 (12) (2017) 3269 – 3287, Impact factor 1.184, ISSN 0020-7718
2. Classification of Pattern Representing Apples and Oranges in three-qubit system
Manu Pratap Singh, Kishori Radhey, V. K. Saraswat & Sandeep Kumar
 Quantum Processing System, SPRINGER, 16: 16. doi:10.1007/s11128-016-1472-z, Impact factor 1.840, ISSN 1570-075

3. Process of Quantum Associative Memory (QuAM) through New Maximally Entangled States (Singh – Rajput MES)
Manu Pratap Singh & B. S. Rajput
International Journal of Theoretical Physics, SPRINGER, 55 (7) (2016) 3207 – 3219, Impact factor 1.184, ISSN 0020-7718

4. Quantum Encoding and Entanglement in Terms of Phase Operators Associated with Harmonic Oscillator
Manu Pratap Singh & B. S. Rajput
International Journal of Theoretical Physics, SPRINGER, 55 (10) (2016) 4393 – 4405, Impact factor 1.184, ISSN 0020-7718

5. Optimization of Stochastic networks using simulated annealing for the storage and recalling of compresses images using SOM

Manu Pratap Singh & Rinku Sharma Dixit

Journal of Journal of Engineering Applications Artificial Intelligence, ELSEVIER (Science Direct), 26 (2013), 2383-2396, Impact factor 1.625

1.Keynote Speaker in “The International Conference on Artificial Intelligence Science and Technology (AIST2016)”, organized by world scientific in Shanghai, China from 15^th July to 17^th July, 2016. The topic of my talk was “Performance Analysis of Hopfield Neural Networks as Associative Memory for Fingerprint Images”

2. Invited Expert lecture on the topic “Implementation of Artificial Neural Networks using MatLab” in the one week faculty development program on “Machine Learning Techniques & its Applications MLTA-2016”, organized by Department of Computer Science & Engineering, I. T. S. Engineering College, Greater Noida, during January 04-08, 2016. 

3. Invited talk on “Soft Computing Techniques of Multi objective optimization for pattern Recognition” in the 3^rd National Conference on “Applications of Mathematics in Science, Technology and Management” (NCAMSTM-2016) organized by Department of Mathematics, Shri Ram Murti Smarak College of Engineering & Technology, Bareilly during 22^nd – 23^rd January 2016.

4. Invited Resource Person for Six days workshop on “Latest Trends and Research In Machine Learning” conducted by Institute of Management & Research, Bharati Vidyapeeth Deemed University,  New Delhi during 12^th-17^th December -2016. 

5. Invited Expert lecture on “Neural Networks using MATLAB” in Faculty Development Program conducted by Department of Computer Engineering at YMCA University of Science and Technology, Faridabad on 5^Th June, 2015.