Assistant Professor

Dr Ch Anil Carie

Department of Computer Science and Engineering

Interests

  1. Internet of Things
  2. Game Theory
  3. Resource allocation in Computer networks

Faculty Details

Education

2006

Ramappa Engineering College JNTU Hyderabad
India
BTech

2010

Karunya University of Technology Coimbatore
India
MTech

2019

Dalian University of Technology,
China
PhD

Experience

  • July 2010 to Aug 2014 - Lecturer. Computer Science Department, VIDYA BARATHI INSTITUE OF TECHNOLOGY Hyderabad
  • February 2020 to Present - Assistant Professor Sr.Grade-1 School of Computer Science Department, VITAP UNIVERSITY Amaravathi, India

Research Interest

My research in to the areas of

  • Intelligent Internet of Things
  • Deep Learning, and Routing protocols with their application in agriculture
  • Smart cites, vehicular IoT

With the focus on resource allocation, optimization which would help in making a better society.

Awards & Fellowships

  • 2019 - Outstanding International Graduate Student, Dalian University of Technology, Dalian, China.
  • 2014 - Selected for CSC Scholarship, School of Software, Dalian University of Technology, P R China.

Publications

  • Shah, S. B. H., Wang, L., Haque, M. E., Islam, M. J., Carie, A., & Kumar, N. (n.d.). Lifetime
    improvements of smart sensors maintenance protocol in prospect of iot-based rampal power plant.
  • Sun, Z., Liu, Y., Wang, J., Li, G., Anil, Carie, Li, K., . . . Cao, D. (2021). Applications of game theory in vehicular networks: a survey. IEEE Communications Surveys and Tutorials, 23(4Index-SCI-Impact-Factor-25), 2660–2710.
  • Zhang, X., Liu, Y., Xu, X., Huang, Q., Mao, H., & Anil Carie. (2021). Structural relational
    inference actor-critic for multi-agent reinforcement learning. Neurocomputing, 459Index-SCI-Impact-Factor-10.26, 383–394.
  • Seema, B., Yao, N., Carie, Anil, & Shah, S. B. H. (2020). E cient data transfer in clustered iot
    network with cooperative member nodes. Multimedia Tools and Applications, 1–11Index-SCI-Impact-Factor 2.5.
  • Usman, M., Carie, Ani, Marapelli, B., Bedru, H. D., & Biswas, K. (2020). A human-in-the-loop probabilistic cnn-fuzzy logic framework for accident prediction in vehicular networks. IEEE Sensors JournalIndex-SCI-Impact-Factor-4.
  • Carie, A., Li, M., Marapelli, B., Reddy, P., Dino, H., & Gohar, M. (2019). Cognitive radio assisted wsn with interference aware aodv routing protocol. Journal of Ambient Intelligence and Humanized Computing, 1–10Index-SCI-Impact-Factor-7.
  • Tahir, M., Li, M., Zheng, X., Carie, A., & Jin, X. (2019). A novel network user behaviors and profile testing based on anomaly detection techniqueswns in online community settings. International Journal of Advanced Computer Science and Applications, 10(6).
  • Carie, Anil, Li, M., Liu, C., Reddy, P., & Jamal, W. (2018). Hybrid directional cr-mac based on
    q-learning with directional power control. Future Generation Computer Systems, 81, 340–347-Index-SCI-Impact-Factor-7.1.
  • Carie, A., Li, M., Anamalamudi, S., Reddy, P., Marapelli, B., Dino, H., . . . Jamal, W. (2018). An internet of software defined cognitive radio ad-hoc networks based on directional antenna for smart environments. Sustainable cities and society, 39, 527–536-Index-SCI-Impact-Factor-10.26.
  • Binmad, R., Li, M., Wang, Z., Deonauth, N., & Carie, A. (2017). An extended framework for
    recovering from trust breakdowns in online community settings. Future Internet, 9(3Index-SCI-Impact-Factor-3.6), 36.
  • Li, M., Dong, W., Zheng, X., Carie, A., & Tian, Y. (2022). A bi-level stochastic model with averse risk and hidden information for cyber-network interdiction. In Proceedings of international conference on computing and communication networks (pp. 523–538). Springer.
  • Marapelli, B., Carie, A., & Islam, S. M. N. (2021). Software eort estimation with use case points using ensemble machine learning models. In 2021 international conference on electrical, computer and energy technologies (icecet) (pp. 1–6). doi:10.1109/ICECET52533.2021.9698548
  • Marapelli, B., Carie, A., & Islam, S. M. (2020). Rnn-cnn model: a bi-directional long short-term
    memory deep learning network for story point estimation. In 2020 5th international conference on innovative technologies in intelligent systems and industrial applications (citisia) (pp. 1–7). IEEE.
  • Shah, S. B. H., Wang, L., Reddy, P., & Carie, A. (2020). Non-cooperative game to balance energy and security in resource constrained iot networks. In Ieee infocom 2020-ieee conference on computer communications workshops (infocom wkshps) (pp. 502–507). IEEE.
  • Rajesh, S., Vandana, L., Carie, C. A., & Marapelli, B. (2013). Recognizing the languages in webpages—a framework for nlp. In 2013 ieee international conference on computational intelligence and computing research (pp. 1–5). IEEE.)

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