KARMESHU
Professor,
School of Computer and Systems Sciences,
Jawaharlal Nehru University, New Delhi – 110067, India.
Email :
karmeshu@mail.jnu.ac.in 
          karmeshu@gmail.com 
Phone: (O): 26704773, 26704767, 26742526
          (R): 27014874, 27013793
Fax:     +91-11-26742526
           +91-11-26741586

Research Interests

  1. Mathematical modelling and computer simulation(with special reference to Nonlinear and stochastic systems) .
  2. Stochastic evolution of socio-technical and engineering systems.
  3. Performance modelling of Communication Networks
  4. Bioinformatics/Systems Biology and Computational Neuroscience

Academic honours

  1. Recipient of Shanti Swarup Bhatnagar Award in Mathematical Science for the year 1993.
  2. Recipient of C.M. Jacob Medal for the year 1990, Systems Society of India.
     

Experience of research and teaching:

1. Professor, School of Computer and  Systems Sciences, Jawaharlal Nehru  University, New Delhi - 110067.   April 86 - till date
2. Dean and Professor, School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi-110067.   i) Sept. 87 - Sept. 89

  ii) July 03 – July 05

3. Senior Professor, Indian Agricultural Statistics Research Institute, New Delhi.   March 85 – April 86
4. Scientist E, National Institute of Science,
Technology and Development Studies, (CSIR),New Delhi.
  July 84 – March 85
5. Visiting Professor, Dept. of Systems, Universidad  Autonoma Metropolitana, Mexico, D.F.   April 83 – June 84
6. Visiting Assistant Professor, Dept. of Systems Design, University of Waterloo, Canada.   Sept. 80 – Aug. 82
7. Visiting Assistant Professor, Dept. of Physics, University of Waterloo, Canada.   Nov. 79 – Aug. 80
8. Lecturer in Physics, Ramjas College, University of Delhi, Delhi. 110007   Oct. 77 – Aug. 79
9. Visiting Scientist, Theoretical Physics, Stuttgart University Germany.   June 76 – Sept. 77
10. Lecturer in Physics,Ramjas college
University of Delhi, Delhi.-110007
  Aug. 71 – May 76

Recent Publications:

1. Karmeshu and R. Agrawal On efficacy of Rayleigh-inverse Gaussian distribution over K-distribution for wireless fading channels. Wireless Communications & Mobile Computing (WCMC), 7, p.1 (2006).
2. Karmeshu and S. Sharma Queue length distribution in network packet traffic: Tsallis  entropy maximization with fractional moments.. IEEE Comm. Letters, 10, p.34 (2006).
3. N.R Pal, A. Sharma, S. Sanadhya and Karmeshu On identifying marker genes from gene expression data in a  neural framework through online feature analysis. Intl. Journal of Intelligent Systems, 24, p.453 (2006).
4. Karmeshu and S. Sharma q-Exponential Product from Solution of Packet distribution in Queuing Networks: Maximization of Tsallis entropy”, IEEE Comm. Letters, 10, No. 8, p. 585 (2006).
5. Karmeshu and S. Sharma  Power Law and Tsallis entropy : Network Traffic and  Applications in Chaos, Nonliniearity and Complexity  (Studies in Fuzziness and Soft Computing) ed. A. Sengupta, Springer Verlag, 206,  p. 162 (2006)
6. Karmeshu and R. Agrawal Study of ultrasonic echo envelope based on Nakagami- Inverse Gaussian distribution, Ultrasound Med. Biol., 32, No. 3, p.371 (2006).
7. R Agrawal and Karmeshu Ultrasonic back scattering in tissue: characterization through Nakagami-generalized inverse Gaussian distribution, Comput. Biol. Med.,  37, No.2, p.166 (2007).
8. Karmeshu and P. Sharma Truncating the hierarchy of moment equations based on  Point Distribution Application to Innovation Diffusion,  Mathematical and Computer Modelling, 45, p. 233(2007).
9. Karmeshu and D Goswami Transient bimodality and catastrophic jumps in innovation diffusion, IEEE SMC-A, 38, No. 3 (2008)
10. R K Agrawal and Karmeshu Pertubation scheme for online learning features: Incremental principal Component Analysis, Pattern Recognition, 41 No. 5, pp. 1452-60 (2008)
11. S. Sharma and Karmeshu Bimodal packet distribution in loss systems using maximum Tsallis entropy principle, IEEE Trans. Comm. 56 No. 9, p. 1530-35 (2008)
12. S. Bhatnagar, Karmeshu and V Mishra Optimal parameter trajectory estimation in parameterized SDEs: An algorithmic procedure, ACM Transactions on Modeling and Computer Simulation (TOMACS), (In Press).

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