Biography

Dr. Anand Nayyar

Professor, Scientist, Vice-Chairman (Research)

Director (IoT and Intelligent Systems Lab)

School of Computer Science

Duy Tan University (DTU), Vietnam


Email: [email protected]


Qualifications

2017 Ph.D., Desh Bhagat University, India
2011 MBA, Sikkim Manipal University
2008 MCA, Punjabi University, India
2005 B.Com, Punjab University, India


Publications (Selected)

  1. Kotteswari, K., Dhanaraj, R. K., Balusamy, B., Nayyar, A., & Sharma, A. K. (2025). EELB: an energy-efficient load balancing model for cloud environment using Markov decision process. Computing, 107(3), 1-41.
  2. Kiriyakere, A., & Nayyar, A. (2025). Redefining mobility: The convergence of autonomy, technology, and connected vehicles in smart cities. In Digital Twins for Smart Cities and Villages (pp. 189-204). Elsevier.
  3. Geetha, R., Jegatheesan, A., Dhanaraj, R. K., Vijayalakshmi, K., Nayyar, A., Arulkumar, V., ... & Thavasimuthu, R. (2024). Cvs-fln: A novel iot-ids model based on metaheuristic feature selection and neural network classification model. Multimedia Tools and Applications, 83(39), 86557-86591.
  4. Sharma, P. L., Gupta, S., Nayyar, A., Harish, M., Gupta, K., & Sharma, A. K. (2024). ECC based novel color image encryption methodology using primitive polynomial. Multimedia Tools and Applications, 83(31), 76301-76340.
  5. Akhtar, M. A. K., Kumar, M., & Nayyar, A. (2024). Socially Responsible Applications of Explainable AI. In Towards Ethical and Socially Responsible Explainable AI: Challenges and Opportunities (pp. 261-350). Cham: Springer Nature Switzerland.
  6. Sharma, P., Kumar, R., Gupta, M., & Nayyar, A. (2024). A critical analysis of road network extraction using remote sensing images with deep learning. Spatial Information Research, 32(4), 485-495.
  7. Kukkar, A., Mohana, R., Sharma, A., & Nayyar, A. (2024). A novel methodology using RNN+ LSTM+ ML for predicting student’s academic performance. Education and information technologies, 29(11), 14365-14401.
  8. Joon, R., Tomar, P., Kumar, G., Balusamy, B., & Nayyar, A. (2024). Unequal clustering energy hole avoidance (UCEHA) algorithm in cognitive radio wireless sensor networks (CRWSNs). Wireless Networks, 1-23.
  9. Sahay, R., Nayyar, A., Shrivastava, R. K., Bilal, M., Singh, S. P., & Pack, S. (2024). Routing attack induced anomaly detection in IoT network using RBM-LSTM. ICT Express, 10(3), 459-464.
  10. Verma, A., Shivhare, S. N., Singh, S. P., Kumar, N., & Nayyar, A. (2024). Comprehensive review on MRI-based brain tumor segmentation: A comparative study from 2017 onwards. Archives of Computational Methods in Engineering, 1-47.
  11. Alam, M. F. B., Tushar, S. R., Ahmed, T., Karmaker, C. L., Bari, A. M., de Jesus Pacheco, D. A., ... & Islam, A. R. M. T. (2024). Analysis of the enablers to deal with the ripple effect in food grain supply chains under disruption: implications for food security and sustainability. International Journal of Production Economics, 270, 109179.
  12. Dhanaraj, R. K., Ali, M. A., Sharma, A. K., & Nayyar, A. (2024). Deep Multibranch Fusion Residual Network and IoT-based pest detection system using sound analytics in large agricultural field. Multimedia Tools and Applications, 83(13), 40215-40252.
  13. Rosak-Szyrocka, J., Żywiołek, J., Nayyar, A., & Naved, M. (Eds.). (2023). The role of sustainability and artificial intelligence in education improvement. CRC Press.
  14. Mevada, D., Panchal, H., Nayyar, A., Sharma, K., Manokar, A. M., El-Sebaey, M. S., & Hussien, A. G. (2023). Experimental performance evaluation of solar still with zig-zag shape air cooled condenser: An energy–exergy analysis approach. Energy Reports, 10, 1198-1210.
  15. Truong, V. T., Ha, D. B., Nayyar, A., Bilal, M., & Kwak, D. (2023). Performance analysis and optimization of multiple IIoT devices radio frequency energy harvesting NOMA mobile edge computing networks. Alexandria Engineering Journal, 79, 1-20.
  16. Anitha, T., Aanjankumar, S., Poonkuntran, S., & Nayyar, A. (2023). A novel methodology for malicious traffic detection in smart devices using BI-LSTM–CNN-dependent deep learning methodology. Neural Computing and Applications, 35(27), 20319-20338.
  17. Kukkar, A., Mohana, R., Sharma, A., & Nayyar, A. (2023). Prediction of student academic performance based on their emotional wellbeing and interaction on various e-learning platforms. Education and Information Technologies, 28(8), 9655-9684.


Profile Details

WoS ResearcherID: F-3732-2015

https://orcid.org/0000-0002-9821-6146

http://www.anandnayyar.com/

https://scs.duytan.edu.vn/-khoa-khoa-hoc-may-tinh-tpb/99-anand-nayyar

https://scholar.google.com.hk/citations?user=7uvZuX8AAAAJ&hl=zh-CN&oi=sra

https://www.researchgate.net/profile/Anand-Nayyar

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