Dr. Chandrashekar  Jatoth

Department Information Technology
Designation Assistant Professor
Educational Qualification B.E, M.Tech (AI, University of Hyderabad), Ph.D. (University of Hyderabad)
E-Mail chandrashekar.jatoth@gmail.com,jchandrashekar.it@nitrr.ac.in
Contact Number +91-8897741409
Areas of Interest

Cloud/Fog Computing, Energy Informatics, Artificial Intelligence, Computational Intelligence Techniques

Publications

International Journals Published:

  1. M. Sreenu, Nitin Gupta, Chandrashekar Jatoth, Aldosary Saad, Abdullah Alharbi, Lewis Nkenyereye, "Blockchain based Secure and Reliable Cyber Physical Ecosystem for Vaccine Supply Chain", Vol.191, pp.173-183, 2022, Computer Communications, Elsevier, (IF:5.047).
  2. Chandrashekar Jatoth, E Neelima, AVR Mayuri, SR Annaluri, "Effective monitoring and prediction of Parkinson disease in Smart Cities using intelligent health care system", Vol. 92, pp.104547, 2022, Microprocessors and Microsystems, Elsevier, (IF:3.503).
  3. Chandrashekar Jatoth, Rishabh Jain, Ugo Fiore, Subrahmanyam Chatharasupalli, "Improved Classification of Blockchain Transactions Using Feature Engineering and Ensemble Learning", Vol. 14, No.1, 2021, Future Internet, MPDI.
  4. Narayana Potu, Sreedhar Bhukya, Chandrashekar Jatoth, Premchand Parvataneni, "Quality-aware Energy Efficient Scheduling Model for Fog Computing Comprised IoT Network" Vol. 97, pp.107603, Computers and Electrical Engineering, Elsevier, 2021, (IF: 3.818)
  5. Rekha Gillala, Krishna Reddy Vuyyuru, Chandrashekar Jatoth, Ugo Fiore,”An efficient chaotic salp swarm optimization approach based on ensemble algorithm for class imbalance problems”, Soft Computing, Springer, 2021, (IF: 3.643).
  6. Avik Dutta, Chandrashekar Jatoth, G.R. Gangadharan, U Fiore, “QoS-aware Big Service Composition using Distributed Co-Evolutionary Algorithm”, Concurrency and Computation Practice and Experience, Wiley, 2021, (IF: 1.536).
  7. Narayana Potu, Chandrashekar Jatoth, Premchand Parvataneni, “Optimizing resource scheduling based on extended particle swarm optimization in fog computing environments”, Concurrency and Computation Practice and Experience, Wiley, PP. e6163, 2021, (IF: 1.536).
  8. Chandrashekar Jatoth, Gangadharan, G.R., and Fiore, Ugo, "A MapReduce‐based modified Grey Wolf optimizer for QoS‐aware big service composition", Concurrency and Computation Practice and Experience, Wiley, Vol. 32, No. 8, PP. e5351, 2019, (IF: 1.447).
  9. Chandrashekar Jatoth, Gangadharan, G.R., and Fiore, Ugo, "Optimal fitness aware cloud service composition using modified invasive weed optimization", Swarm and Evolutionary Computation, Elsevier, Vol. 44, PP. 1073-1091, 2019, (IF: 6.330).
  10. Chandrashekar Jatoth, Gangadharan, G.R., and Rajkumar, Buyya "Optimal fitness aware cloud service composition using an adaptive genotypes evolution based genetic algorithm”, Future Generation Computer Systems, Elsevier, Vol. 94, pp. 185-198, 2019, (IF: 5.768).
  11. G siva Kumar, Chandrashekar Jatoth, Gangadharan, G.R., and Rajkumar, Buyya, "QoS-aware Cloud Service Composition using Eagle Strategy", Future Generation Computer Systems, Elsevier, Vol. 90, pp. 273-290, 2019, (IF: 5.768).
  12. Chandrashekar Jatoth, Gangadharan, G.R., Fiore, Ugo, and Rajkumar, Buyya, "SELCLOUD: A Hybrid Multi-Criteria Decision Making Model for Selection of Cloud Services", Soft Computing, Springer, Vol. 23, No. 13, pp. 4701-4715, 2019 (IF: 2.784).
  13. Chandrashekar Jatoth, Gangadharan, G.R., Fiore, Ugo, and Rajkumar, Buyya, "QoS aware Big Service composition using MapReduce based Evolutionary Algorithm with Guided Mutation", Future Generation Computer Systems, Elsevier, Vol. 86, pp. 1008-1018, 2018, (IF: 5.768).
  14. Chandrashekar Jatoth, Gangadharan, G.R., and Fiore, Ugo, “Evaluating the efficiency of cloud services using modified data envelopment analysis and modified super- efficiency data envelopment analysis”, Soft Computing, Springer, Vol. 21, No. 23, pp. 7221-7234, 2016 (IF: 2.784).
  15. Chandrashekar Jatoth, Gangadharan, G.R., and Rajkumar, Buyya, "Computational intelligence based QoS-aware web service composition: A systematic literature review”, IEEE Transactions on Services Computing, IEEE, Vol. 10, No.3, pp. 475-492, 2016 (IF: 3.520).

International Conference Published:

  1.  Chandrashekar, Jatoth, and Gangadharan, G.R. "QoS-aware Web Service Composition Using Quantum Inspired Particle Swarm Optimization", In. Proceedings of the 7th KES International Conference on Intelligent Decision Technologies (KES-IDT 2015), Sorrento, Italy, pp. 255-265, 2015, Springer.
  2. Chandrashekar, Jatoth, and Gangadharan, G.R.  "Fitness Metrics for QoS- Aware Web Service Composition Using Metaheuristics", In. Proceedings of the 7th KES International Conference on Intelligent Decision Technologies (KES-IDT 2015), Sorrento, Italy, pp. 267-277, 2015, Springer.
Other Info.

Work Experience:

  • Working as an Assistant Professor (Gr-II) at N.I.T. Raipur (C.G.), India (From August 2021-Till date).
  • Worked as an Assistant Professor (Gr-II) at N.I.T. Hamirpur (H.P.), India (From Decemeber, 2018- July, 2021).
  • Worked as an Associate Professor at Sreenidhi Institute of Science and Technology, Hyderabad (T.S.), India (From July, 2018- December, 2018).
  • Worked as an Associate Professor at  Koneru Lakshmaiah Education Foundation, Hyderabad (T.S.), Inida (June, 2017- August, 2018).
  • Worked as a Research Fellow at Institute for Development and Research in Banking Technology (Established by Reserve Bank of India), Hyderabad (T.S.), India (March,2013- December,2017).

Administrative Experience:

  • Worked as a Assistant Faculty In-charge (Examinations & Evaluation) at NIT Hamirpur (H.P.)(April,2019-December,2019).
  • Worked as a Assistant Faculty In-charge (National Academic Depository (NAD)) at NIT Hamirpur (H.P.)(May, 2019- July, 2021).
  • Worked as a Assistant Nodal Officer (Digital India) at NIT Hamirpur (H.P.)(April, 2019- August, 2020).
  • Worked as a Assistant Warden (Kailash Boys Hostel) at NIT Hamirpur (H.P.)(May, 2020- August, 2020).