Dr. Chandra Kumar Jha

About

I am Chandra Kuar Jha, Profesor Cmputer Science and Dean Mahematics and Computing. My research Area is Advanced Networking, Data Mining, Data Analytics and Artificial Intelligence.

Employment

• Banasthali Vidyapith Professor and Dean, Mathematics and Computing
  1999 - 2025

Education

• Banasthali University Department of Computer Science Ph.D McA

Projects & Funding

Projects & funding information is unavailable.

Publications (49)

• Novel detection technique for framejacking vulnerabilities in web applications
  Proceedings of 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021 2021 DOI: 10.1109/ICCAKM50778.2021.9357764
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• Clustering Adaptive Elephant Herd Optimization Based Data Dissemination Protocol for VANETs
  Evergreen 2021 DOI: 10.5109/4742126
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• A novel WSN protocol for increasing network life using combination of node’s positions and communication range
  International Journal of Information Technology (Singapore) 2020 DOI: 10.1007/s41870-019-00358-y
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• Brain Tumor Classification from MRI Images and Calculation of Tumor Area
  Advances in Intelligent Systems and Computing 2020 DOI: 10.1007/978-981-15-0751-9_7
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• Comparative Study of Underwater Sensor Networking Routing Protocols
  Proceedings - IEEE 2020 2nd International Conference on Advances in Computing, Communication Control and Networking, ICACCCN 2020 2020 DOI: 10.1109/ICACCCN51052.2020.9362872
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• Optimizing LSTM for time series prediction in Indian stock market
  Procedia Computer Science 2020 DOI: 10.1016/j.procs.2020.03.257
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• Probabilistic-Based Energy-Efficient Single-Hop Clustering Technique for Sensor Networks
  Lecture Notes in Networks and Systems 2020 DOI: 10.1007/978-981-15-3325-9_27
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• Routing and Security Issues in Cognitive Radio Ad Hoc Networks (CRAHNs)—a Comprehensive Survey
  Advances in Intelligent Systems and Computing 2020 DOI: 10.1007/978-981-15-0324-5_42
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• Sentiment analysis of financial news using unsupervised approach
  Procedia Computer Science 2020 DOI: 10.1016/j.procs.2020.03.325
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• Task Allocation in Distributed Real Time Database Systems in IoT
  Advances in Intelligent Systems and Computing 2020 DOI: 10.1007/978-3-030-39875-0_6
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