Sandeep Saini

About

Sandeep Saini received his B.Tech. degree in Electronics and Communication Engineering from the International Institute of Information Technology, Hyderabad, India in 2008. He completed his M.S. from the same institute in 2010. He obtained his Ph.D. from Malaviya National Institute of Technology, Jaipur India.

He is working at LNM Institute of Information Technology, Jaipur as an Assistant Professor from 2011 onward. He has worked as adjunct faculty at the International Institute of Information Technology (IIIT), Bangalore (Deputation at Myanmar Institute of Information Technology, Mandalay, Myanmar) for 2 years and as a Lecturer at Jaypee University of Engineering and Technology, Guna for 3 semesters. His research interests are in the areas of Deep Learning, Machine learning, Natural Language Processing, cognitive modeling of language learning models, Biomedical and agricultural
applications of deep learning. He has published 1 book, 4 book chapters, and over 30 International Journals and conference papers. Sandeep is a member of IEEE since 2009 and an active member of ACM as well.

Employment

• Myanmar Institute of Information Technology Assistant Professor
  2018 - 2020
• LNM Institute of Information Technology Assistant Ptofessor
  2011 - Present
• Jaypee University of Engineering and Technology Lecturer
  2010 - 2011

Education

• Malaviya National Institute of Technology Ph.D.
  2014 - 2020
• International Institute of Information Technology Hyderabad M.S.
  2008 - 2010
• International Institute of Information Technology Hyderabad B.Tech.
  2004 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (29)

• Yoga with Deep Learning: Linking Mind and Machine
  SN Computer Science 2024 DOI: 10.1007/s42979-024-02784-7
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• Deep Learning-Based Brain Tumor Detection in Privacy-Preserving Smart Health Care Systems
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3456599
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• Patient activity recognition for robust performance under varied illumination and cluttered background in indoor environment
  International Journal of Computers and Applications 2024 DOI: 10.1080/1206212X.2024.2427287
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• Hardware–Software Co-Design Framework for Data Encryption in Image Processing Systems for the Internet of Things Environment
  IEEE Consumer Electronics Magazine 2022 DOI: 10.1109/MCE.2021.3115999
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• Stock values predictions using deep learning based hybrid models
  CAAI Transactions on Intelligence Technology 2022 DOI: 10.1049/cit2.12052
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• Stock Market Predictions Using FastRNN-Based Model
  2022 DOI: 10.1007/978-981-16-6890-6_33
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• Language Learnability Analysis of Hindi: A Comparison with Ideal and Constrained Learning Approaches
  Journal of Psycholinguistic Research 2019 DOI: 10.1007/s10936-019-09641-2
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• A hybrid approach to emotion recognition system using multi-discriminant analysis & k-nearest neighbour
  2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI) 2017 DOI: 10.1109/icacci.2017.8126181
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• A quadro coding technique to reduce self transitions in VLSI interconnects
  Proceedings - 2016 IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2016 2017 DOI: 10.1109/iNIS.2016.033
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• Bayesian learner based language learnability analysis of Hindi
  2016 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2016 2016 DOI: 10.1109/ICACCI.2016.7732359
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