Sanjeevi Pandiyan, Ph.D., Associate Professor
Team: Digital Medicine
Research direction:Cloud Computing, Data Centers, Internet of Things, Network Programming, Real-Time Data Analytics, Artificial intelligence, Image Processing, Satellite Data Analysis.
Laboratory location: 14th Floor, Building 4, Nantong Industrial Technology Research Institute, Jiangsu, China.
Email: gpsanjeevi@jiangnan.edu.cn
Education experience:
2014.09-2018.09 Ph.D., School of Information Technology and Engineering, VIT University, Vellore, India
2008.09-2013.08 M.S (Software Engineering), School of Information Technology and Engineering, VIT University, Vellore, India
Work experience:
2021.06- present, Associate Professor, Intelligent Information Technology Research Center, Nantong University, China
2019.05 -2021.05, Postdoctoral Researcher, School of Internet of Things Engineering, Jiangnan University, China
2018.06 - 2019.05, Assistant Professor, School of Computing Science and Engineering, VIT Bhopal University, India
2014.10 -2017.10, Research Associate, School of Information Technology and Engineering, VIT University, Vellore, India
2014.02-2014.08, Project Trainee (R&D), Ramco Systems, Chennai, India
Proposal:
1. Jiangnan university postdoctoral research proposal accepted and granted 30,000 RMB (Ref. No. 1255210162190560) during 2019-2021.
2. Microsoft azure proposal accepted and granted 1,00,000 RMB, Ref.: Azure pass (MS-AZR-0123P) during 2015-2016.
Representative papers:
2. P. Sanjeevi and P. Viswanathan, “NUTS scheduling approach for cloud data centers to optimize energy consumption,” Computing, Vol. 99, pp. 1179–1205, 2017.
2. S. Pandiyan, T. S. Lawrence, S. V., M. Ramasamy, Q. Xia, and Y. Guo, “A performance-aware dynamic scheduling algorithm for cloud-based IoT applications,” Comput. Commun., vol. 160, pp. 512–520, 2020.
3. P. Sanjeevi, B. Siva Kumar, S. Prasanna, J. Maruthupandi, R. Manikandan, and A. Baseera, “An ontology enabled internet of things framework in intelligent agriculture for preventing post-harvest losses,” Complex Intell. Syst., 2020.
4. S. Pandiyan, A. M., M. R., K. R. K.M., and A. R. G.R., “Heterogeneous Internet of things organization Predictive Analysis Platform for Apple Leaf Diseases Recognition,” Comput. Commun., vol. 154, pp. 99–110, 2020.
5. P. Sanjeevi, S. Prasanna, B. Siva Kumar, G. Gunasekaran, I. Alagiri, and R. Vijay Anand, “Precision agriculture and farming using Internet of Things based on wireless sensor network,” Trans. Emerg. Telecommun. Technol., 2020.
6. Sanjeevi Pandiyan, Govindjee Govindjee, S. Meenatchi, S. Prasanna, G. Gunasekaran, Y. Guo, “Evaluating the impact of summer drought on vegetation growth using space-based solar-induced chlorophyll fluorescence across extensive spatial measures”, Big Data, 2021.
M. Prabhu, N. N. Abdullah, R. R. Ahmed, T. Nambirajan, and S. Pandiyan*, “Segmenting the manufacturing industries and measuring the performance: using interval-valued triangular fuzzy TOPSIS method,” Complex Intell. Syst., vol. 6, no. 3, pp. 591–606, 2020.
8. K. Kannan, P. Sivaranjani, S. Sathish Kumar, M. Nalini, V. R. Balaji, and P. Sanjeevi*, “SPAHN novel approach for PL-AG gateway discovery for internet connectivity,” Peer-to-Peer Netw. Appl., vol. 14, pp. 2275–2284, 2021.
9. M. Ramasamy, P. Santhanam, A. Muniyappan, S. K. Lakshmanan, and S. Pandiyan*, “A novel methodology for the development of an optimal agricultural crop field using Internet of Things,” Comput. Intell., 2020.
10 P. Sanjeevi and P. Viswanathan, “A green energy optimized scheduling algorithm for cloud data centers,” 2015 International Conference on Computing and Network Communications, Trivandrum, IEEE Xplore, pp. 941-945, 2015.
1 P. Sanjeevi and P. Viswanathan, “Towards energy-aware job consolidation scheduling in cloud,” International Conference on Inventive Computation Technologies (ICICT 2016), IEEE Xplore, pp. 1-6, 2016.
主持项目情况：
2022年度科技部外国青年人才计划项目“通过机器学习评估用于乳腺癌治疗的 PI3K 和 FGFR 抑制剂分子特征表示”