Dr. Shruti Jain
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Dr. Shruti Jain

Associate Professor
Jaypee University of Information Technology Solan, India

Highest Degree
Ph.D. in Electronics and Communication Engineering from Jaypee University of Information Technology, India

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Area of Interest:

Computer Sciences
100%
Information Technology
62%
Artificial Intelligence
90%
Electronic Circuits
75%
Bioinformatics
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Prashar, N., M. Sood and S. Jain, 2019. Morphology Analysis and Time Interval Measurements Using Mallat Tree Decomposition for CVD Detection. In: Advanced Informatics for Computing Research, Luhach, A., D. Singh, P.A. Hsiung, K. Hawari, P. Lingras and P. Singh, (Eds.). Springer, Singapore, ISBN: 978-981-13-3139-8, pp: 171-181.
  2. Jain, S. and A.O. Salau, 2019. An image feature selection approach for dimensionality reduction based on kNN and SVM for AkT proteins. Cogent Eng., .
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  3. Bhardwaj, C., U. Sharma, S. Jain and M. Sood, 2019. Implementation and performance assessment of biomedical image compression and reconstruction algorithms for telemedicine applications: compressive sensing for biomedical images. In: Medical Data Security for Bioengineers, Singh, B., B.S. Saini, D. Singh and A. Pandey (Eds.). IGI Globle Publisher, USA, ISBN13: 9781522579526 pp: 52-80.
  4. Bhardwaj, C., S. Jain and M. Sood, 2019. Automated Optical Disc Segmentation And Blood Vessel Extraction for Fundus Images Using Ophthalmic Image Processing. In: Advanced Informatics for Computing Research. Luhach, A., D. Singh, P.A. Hsiung, K. Hawari, P. Lingras and P. Singh (Eds.). Springer, Singapore, ISBN: 978-981-13-3139-8, pp:182-194.
  5. Jain, S., 2018. System Modeling of AkT using linear and robust regression analysis. Curr. Trend Biotechnol. Pharm., 12: 177-186.
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  6. Jain, S., 2018. Detection of arrhythmia using automatic differentiation method. Int. Res. J. Nat. Appl. Sci., 5: 9-24.
  7. Jain, S., 2018. Classification of protein kinase b using discrete wavelet transform. Int. J. Inf. Technol., 10: 211-216.
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  8. Jain, S., 2018. Classification of mitogen activated protein kinase using different wavelet transforms (Discrete and Gabor). Asian J. Microbiol. Biotechnol. Environ. Sci., 20: 569-574.
  9. Jain, S. and D.S. Chauhan, 2018. Computational model using anderson darling statistics and pearson correlation coefficients of different distribution functions for stress activation protein kinase. Int. J. Sci. Res. Rev., 7: 51-63.
  10. Jain, S. and D.S. Chauhan, 2018. Computational analysis of MK2 protein for HT carcinoma cells using Pre-processing and characterization techniques for cell death/ survival. J. Global Pharm. Technol., 10: 13-19.
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  11. Jain, S., 2017. Regression modeling of different proteins using linear and multiple analysis. Network Biol., 7: 80-93.
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  12. Jain, S., 2017. Parametric and non parametric distribution analysis of AkT for cell survival/death. Int. J. Artif. Intell. Soft Compu., 6: 43-55.
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  13. Jain, S., 2017. Implementation of marker proteins using standardised effect. J. Global Pharm. Technol., 9: 22-27.
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  14. Jain, S., 2017. Classification of EGF and insulin receptors using gabor wavelet transform. Int. J. Adv. Res. Trend Eng. Technol., 4: 21-25.
  15. Jain, S., 2016. Regression analysis on different mitogenic pathways. Network Biol., 6: 40-46.
  16. Jain, S., 2016. Mathematical analysis using frequency and cumulative distribution functions for mitogenic pathway. Res. J. Pharm. Biol. Chem. Sci., 7: 262-272.
  17. Jain, S., 2016. Compedium model using frequency/cumulative distribution function for receptors of survival proteins: Epidermal growth factor and insulin. Network Biol., 6: 101-110.
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  18. Jain, S., 2016.. Implementation of MIN/MAX functions using operational transconductance amplifier. Int. J. Innov. Res. Electr. Electron. Instrument. Control Eng., 4: 5-8.
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  19. Jain, S., 2015. Design and Simulation of Fuzzy System Using Operational Transconductance Amplifier. In: Smart Innovation, Systems and Technologies, Jain, L., H. Behera, J. Mandal and D. Mohapatra (Eds.). Springer, New Delhi, ISBN:978-81-322-2205-7, pp: 265-273.
  20. Jain, S. and D.S. Chauhan, 2015. Mathematical analysis of receptors for survival proteins. Int. J. Pharm. Bio Sci., 6: 164-176.
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  21. Jain, S. and D.S. Chauhan, 2015. Implementation of fuzzy system using different voltages of OTA for JNK pathway leading to cell survival/death. Network Biol., 5: 62-70.
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  22. Jain, S., 2014. Implementation of triangular membership function using current differencing buffered amplifier. Int. J. Curr. Eng. Scient. Res., 1: 21-24.
  23. Jain, S., 2014. Implementation of fuzzy system using operational transconductance amplifier for ERK pathway of EGF/insulin leading to cell survival/death. J. Pharm. Biomed. Sci., 4: 701-707.
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  24. Jain, S., 2014. Design and simulation of fuzzy system using two stage CMOS operational amplifier. J. Active Passive Electron. Devices, 9: 329-338.
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  25. Jain, S., 2014. Design and simulation of fuzzy membership functions for the fuzzification module of fuzzy system using operational amplifier. Int. J. Syst. Control Commun., 6: 69-83.
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  26. Jain, S., 2014. Design and simulation of fuzzy implication function of fuzzy system using two stage CMOS operational amplifier. Int. J. Emerg. Technol. Comput. Applied Sci., 7: 150-155.
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  27. Jain, S., 2013. To design high CMRR, high slew rate instrumentation amplifier using OTA and CDTA for biomedical application. Int. J. Eng. Res., 2: 332-336.
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  28. Jain, S., P.K. Naik and S.V. Bhooshan, 2012. Compendium model of AkT for cell survival/death and its equivalent biocircuit. Int. J. Soft Comput. Eng., 2: 91-97.
  29. Jain, S. and P.K. Naik, 2012. System modeling of cell survival and cell death: A deterministic model using fuzzy system. Int. J. Pharm. Bio Sci., 3: 358-373.
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  30. Jain, S. and P.K. Naik, 2012. Communication of signals and responses leading to cell death using engineered regulatory networks. Res. J. Pharm. Biol. Chem. Sci., 3: 492-508.
  31. Jain, S., S.V. Bhooshan and P.K. Naik, 2011. Mathematical modeling deciphering balance between cell survival and cell death using tumor necrosis factor α. Res. J. Pharm. Biol. Chem. Sci., 2: 574-583.
  32. Jain, S., S.V. Bhooshan and P.K. Naik, 2011. Mathematical modeling deciphering balance between cell survival and cell death using insulin. Network Biol., 1: 46-58.
  33. Jain, S., P.K. Naik and S.V. Bhooshan, 2011. A computational model for cell survival/death using petrinets. Int. J. Applied Eng. Res., 6: 545-552.
  34. Jain, S., S.V. Bhooshan and P.K. Naik, 2010. Model of mitogen activated protein kinases for cell survival/death and its equivalent bio-circuit. Curr. Res. J. Biol. Sci., 2: 59-71.
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  35. Jain, S., P.K. Naik and S.V. Bhooshan, 2010. Petri net implementation of cell signaling for cell death. Int. J. Pharm. Bio Sci., 1: 1-18.
  36. Jain, S., P.K. Naik and S.V. Bhooshan, 2010. Computational modeling of cell survival/death using BiCMOS. Int. J. Comput. Theory Eng., 2: 478-481.
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  37. Jain, S., P.K. Naik and S.V. Bhooshan, 2010. Caspase: Leads to apoptosis using VHDL and SPICE. Int. J. Electron. Comput., 2: 9-17.
  38. Jain, S., P.K. Naik and S.V. Bhooshan, 2010. A system model for cell death/survival using SPICE and ladder logic. Digest J. Nanomater. Biostruct., 5: 57-66.
  39. Jain, S. and P.K. Naik, 2010. Computational modeling of cell survival using VHDL. Int. J. Inform. Technol., 2: 47-51.
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  40. Jain, S., P.K. Naik and R. Sharma, 2009. A computational modeling of apoptosis signaling using VHDL and MATLAB simulator. Int. J. Inform. Commun. Technol., 2: 7-12.
  41. Jain, S., P.K. Naik and R. Sharma, 2009. A computational model for cell survival/death using VHDL and MATLAB simulator. Digest J. Nanomater. Biostruct., 4: 863-879.
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  42. Tripathi, C.C., S. Jain, P. Joshi, S.C. Sood and D. Kumar, 2008. Development of low cost set up for anodic bonding and its characterization. Indian J. Pure Applied Phys., 46: 738-743.