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Anil Baffna

Mr. Narayan Vyas

Assistant Professor

narayanvyas87@gmail.com

BIO

Narayan Vyas has qualified for the NTA UGC NET & JRF in his first attempt, showcasing his academic excellence. He has extensive knowledge of Remote Sensing, the Internet of Things and Mobile Application Development and has provided training to students worldwide. He has published many articles in reputed, peer-reviewed national and international Scopus journals and conferences. Additionally, he has served as a keynote speaker and resource person for several workshops and webinars conducted in India. His research areas include Remote Sensing, the Internet of Things, Machine Learning, Deep Learning, and Computer Vision. He is an IEEE Member and active member of various International/National societies such as IEEE Young Professional, IEEE Geosciences and Remote Sensing Society (GRSS), IEEE Sensors Council, Indian Society of Remote Sensing (ISRS), Indian Society of Remote Sensing International Society of Photogrammetry and Remote Sensing (ISPRS), etc. He has 35+ publications in reputed Scopus-indexed conferences and journals and has edited 9+ books with various reputed publishers like Wiley, DeGruyter, Apple Academic Press, and IGI Global.

Academic Degrees -

  • 2022, NTA UGC NET & JRF Qualified in Computer Science
  • 2023: PhD (Pursuing) from Punjabi University, Patiala
  • 2019-2023: MCA, MDSU, Ajmer
  • 2016-2019: BCA, Swift College, MDSU, Ajmer

Academic Appointments -

  • June 2024 to Present: Assistant Professor, Department of Computer Science and Application, Vivekananda Global University, Jaipur/li>
  • February 2023 to June 2024: Technical Trainer, Department of CSE, Chandigarh University

Professional Experience -

Research Interests -
Publication -

  • Apple Academic Press. IoT and Remote Sensing Technologies for Precision Agriculture. Edited Book by Apple Academic Press, June 2024. (In Production)
  • De Gruyter. RADAR Remote Sensing Data Analysis with Artificial Intelligence. Edited Book by De Gruyter, May 2024. (In Production)
  • Lilhore, U. K., Kumar, A., Simaiya, S., Vyas, N., and Dutt, V. Eds. Applying Machine Learning Techniques to Bioinformatics: Few-Shot and Zero-Shot Methods. Advances in Bioinformatics and Biomedical Engineering. IGI Global, April 2024. doi: 10.4018/979-8-3693-1822-5.
  • Kumar, A., Srivastav, A. L., Dubey, A. K., Dutt, V., and Vyas, N. Eds. Innovations in Machine Learning and IoT for Water Management. Advances in Civil and Industrial Engineering. IGI Global, November 2023. doi: 10.4018/979-8-3693-1194-3.
  • Dutt, V., Kumar, A., Ahuja, S., Baliyan, A., and Vyas, N. Eds. Quantum Innovations at the Nexus of Biomedical Intelligence. Advances in Bioinformatics and Biomedical Engineering. IGI Global, December 2023. doi: 10.4018/979-8-3693-1479-1.
  • IGI Global. AI-Driven Alzheimer’s Disease Detection and Prediction. Edited Book by IGI Global. ISBN13 - 9798369336052, January 2024. (In Production)
  • Scrivener Publishing LLC (Wiley). Secure Energy Optimization: Leveraging IoT and AI for Enhanced Efficiency. Edited Book by Scrivener Publishing LLC - Wiley, October 2023. (In Production)
  • Scrivener Publishing LLC (Wiley). Internet of Medicine for Smart Healthcare. Edited Book by Scrivener Publishing LLC - Wiley, September 2023. (In Production)
  • Scrivener Publishing LLC (Wiley). Multimodal Data Fusion for Bioinformatics AI. Edited Book by Scrivener Publishing LLC - Wiley, September 2023. (In Production)
  • Raj, Pethuru, Song, Houbing Herbert, Le, Dac-Nhuong, and Vyas, Narayan. Quantum Machine Learning: Quantum Algorithms and Neural Networks. De Gruyter, Germany, June 2023.

Awards -

  • Best Research Paper Award in the Conference AIMBIG-2024, held in UEM,Jaipur
  • Session Chair at 1st International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI-2023), 01/2024.
  • Reviewer for AICTE Sponsored IEEE International Conference on Networks, Multimedia and Information Technology (NMITCON-2023), 09/2023, Nitte Meenakshi Institute of Technology, Bengaluru, INDIA.
  • Reviewer for 1st International Conference on Data Science and Network Security (ICDSNS-2023), 09/2023, Kalpataru Institute of Technology, Tiptur, Karnataka, India.
  • Proctor of Competing Teams for IEEEXtreme (IEEEXtreme 17.0), 08/2023.
  • Taken Workshop on Mobile App Development with Flutter at SSN College of Engineering, Anna University, 08/2021.
  • Conducted Faculty Development Program (FDP) on Internet of Things at Chitkara University, 12/2019.
  • Conducted Internet of Things (IoT) Workshop at Shri Padampat Singhania University, Udaipur, 12/2019.

Conferences, Talks & Speaking Engagements -

  • N. Vyas and V. Dutt, “Advancing Precision Agriculture: Leveraging YOLOv8 for Robust Deep Learning Enabled Crop Diseases Detection,” 2023 International Conference on Integration of Computational Intelligent System (ICICIS), Pune, India, 2023, pp. 1-6, doi: 10.1109/ICICIS56802.2023.10430280.
  • N. Vyas, V. C. Patil, V. Desai Jabbar, and Anurag, “Genetic Algorithm-Driven Hyperparameter Optimization of Capsule Networks for Predictive Analysis of Genetic Mutations,” 2023 Seventh International Conference on Image Information Processing (ICIIP), Solan, India, 2023, pp. 616-621, doi: 10.1109/ICIIP61524.2023.10537665.
  • N. Vyas, A. Gudur, A. I. Tamboli, and Anurag, “Hybrid Convolutional-Recurrent Neural Network Architecture with Attention Mechanisms for Multimodal Medical Image Segmentation,” 2023 Seventh International Conference on Image Information Processing (ICIIP), Solan, India, 2023, pp. 622-627, doi: 10.1109/ICIIP61524.2023.10537765.
  • N. Vyas, N. N. Jadhav, V. V. Raje, and C. Choudhary, “Distributed Deep Reinforcement Learning with Graph Neural Networks for Personalized Drug Interaction Analysis,” 2023 Seventh International Conference on Image Information Processing (ICIIP), Solan, India, 2023, pp. 610-615, doi: 10.1109/ICIIP61524.2023.10537643.
  • Anurag, C. Choudhary, and N. Vyas, “Exploring the Critical Role of Edge Computing in Enhancing IoT Performance and Security,” 2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI), Greater Noida, India, 2023, pp. 563-568, doi: 10.1109/ICCSAI59793.2023.10421138.
  • Assessing the Financial Status of SBI and ICICI Bank Operative 2011-2018”, Apeejay Journal of Management, Sciences & Technology, 6(2), February 2019, ISSN-2347-5005.
  • C. Choudhary, N. Vyas, and U. K. Lilhore, “An Optimized Sign Language Recognition Using Convolutional Neural Networks (CNNs) and TensorFlow,” 2023 International Conference on Technological Advancements in Computational Sciences (ICTACS), Tashkent, Uzbekistan, 2023, pp. 896-901, doi: 10.1109/ICTACS59847.2023.10390276.