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Shyam Khobragade

Head – Information Technology and Knowledge Management | skhobragade at iihs dot co dot in

EDUCATION:

1991    MTech, Computer Science and Data Processing, IIT, Kharagpur

1989    BE, Electronics, Marathwada University, Nanded

 

 

   

Countries: India, USA, Canada, Germany, Dubai, Iran
States: Maharashtra, Karnataka, Madhya Pradesh, West Bengal, Chandigarh
Cities: Nagpur, Nanded, Pune, Mumbai, Bangalore, Bhopal, Kharagpur, Chandigarh
Languages: English, Hindi, Marathi

Shyam has over 25 years of diverse IT expertise in eGovernance, ICT infrastructure, software development, quality control, process excellence, tools and automation. His professional experience includes strategic leadership in a global IT environment, leading multisite global teams with high performing professionals. He has been an IT Consultant, working on eGovernance projects at SAPS with the Government of Madhya Pradesh. He previously worked as a Senior Director at Tecnotree heading Global Quality and PMO teams. He has been part of leadership and management teams at Diebold, Quark, Cisco, VeriFone and Hewlett-Packard.

 

As a technical researcher, Shyam has worked with Tata Institute of Fundamental Research (TIFR) and implemented artificial neural networks and parallel computing techniques on astronomical applications and published articles in renowned journals. His research and work interests include eGovernance, data analytics, internet of things (IOT), ICT enabled education and technology for sustainable development.

 

At IIHS, Shyam heads the IT function. This experience in the IT industry is being leveraged in the education sector as he streamlines and automates practices and provides digital education services for enhanced efficiency, transparency and accountability.

 

Shyam’s other interests include reading and supporting those in need of help to transform their lives.

Journal Articles

  • Gulati, R. K., Gupta, R., Gothoskar, P., & Khobragade, S. (1996). Classification of ultraviolet stellar spectra using artificial neural networks. Bulletin of the Astronomical Society of India, 24(1), 21-30.
  • Gothoskar, P., & Khobragade, S. (1995). Detection of interplanetary activity using artificial neural networks. Monthly Notices of the Royal Astronomical Society, 277(4), 1274-1278.
  • Gulati, R. K., Gupta, R., Gothoskar, P., & Khobragade, S. (1994). Stellar spectral classification using automated schemes. The Astrophysical Journal, 426(1), 340-344.
  • Gulati, R. K., Gupta, R., Gothoskar, P., & Khobragade, S. (1994). Ultraviolet stellar spectral classification using a multilevel tree neural network. Vistas in Astronomy, 38, 293-298.

Gulati, R. K., Gupta, R., Gothoskar, P., & Khobragade, S. (1995). Automated classification of a large database of stellar spectra. In R. A. Shaw, H. E. Payne, & J. J. E. Hayes (Eds.), Astronomical Data Analysis Software and Systems IV (pp. 253-256). Orem, United States:  Astronomical Society of the Pacific.