Dr. Amit Sinhal
JK Lakshmipat University, Technocrats Institute of Technology and Science, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Samrat Ashok Technological Institute, SVNIT
About
PROF. (DR.) AMIT Kumar SINHAL
Professor, Department of Computer Science & Engineering
JK Lakshmipat University, Jaipur, Rajasthan, India
EMAIL: [email protected], CONTACT NO.: (+91)9425476655
ORCHID 0000-0001-6697-6995, RESEARCHERID: F-5338-2016
Scholar Profile: https://scholar.google.co.in/citations?user=Oop4ilQAAAAJ&hl=en
Citations 344
h-index 10
i10-index 12
• Ph.D. (CSE, 2016, RGPV, Bhopal), M. Tech. (CSE, 2005, SATI, Vidisha), B.E. (CSE, 1996, NIT, Surat).
• 13 Years in Research and Teaching experience.
• 10 years IT Industry Experience as a Software Developer& Project Manager.
• Member of ACM, Life Member of ISTE, CSI, IAENG International Association of Engineers, Computer Science Teacher Association
• 03 Patent Published and 2 International Book Publication
• Organized 05 International/National Conferences and attended more than 10 FDP/Workshops/Conferences
• +50 Research papers Publication in International/National Journals/Conferences.
• Reviewers in 04 International Journals.
• Delivered number of lectures and key note addresses in conferences and short term specialized programmes, Conference chair, conference paper reviewer, Journal editorial board, Invited speaker, Ex. Board of studies member in Technical University, etc.
• Thoroughly understands the learning process and works hard to adapt methods and use various teaching styles.
Employment
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JK Lakshmipat University Professor2019 - Present
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Technocrats Institute of Technology and Science Professor & Head2016 - 2019
Education
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Rajiv Gandhi Proudyogiki Vishwavidyalaya Ph.D.(CSE)2009 - 2016
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Samrat Ashok Technological Institute M.Tech.(CSE)2003 - 2005
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SVNIT B. E.1992 - 1996
Projects & Funding
Projects & funding information is unavailable.
Publications (265)
- Federated continual learning for privacy-preserving chest radiograph classification Save
- High-Performance And Quantum Computing In Cancer Modeling: A Review And Hybrid Hpc-Quantum Approach Save
- Algorithmic Reductions: Network Flow and NP-Completeness in Real-World Scheduling Problems Save
- Federated Continual Learning for Privacy-Preserving Hospital Imaging Classification Save
- Stress Monitoring in Healthcare: An Ensemble Machine Learning Framework Using Wearable Sensor Data Save
- Artificial Intelligence-Integrated Facial Recognition Model for Efficient Attendance Automation Save
- Battery-aware super-peer and fountain coding in Java P2P systems Save
- Optimizing Diagnostic Accuracy in Healthcare by Using Deep Learning Save
- Contrastive Learning and Large Language Models for Depression Detection from Social Media Save
- Stress Monitoring in Healthcare: An Ensemble Machine Learning Framework Using Wearable Sensor Data Save