Chandra Yadav

About

Dr. Chandra Shekhar Yadav, Ph.D.(CSE)
Professor and Dean
School of Computer Applications,
Noida Institute of Engineering and Technology Greater Noida
Address: 19 Knowledge Park II, Institutional Area Greater Noida-201306
Primary Email-id: [email protected]
Secondary Email –id: [email protected]
Primary Phone Number with international code: +91-9313419956
Secondary Phone Number with international code: +91-9415336378
Areas of Expertise: Object Oriented Software Metrics Set and Soft Computing
Orcid Id: 0000-0003-4774-1765
Scopus Author ID: 57213555062


Dr. Chandra Shekhar Yadav is an experienced Professor and Dean, School of Computer Applications at the Noida Institute of Engineering and Technology (NIET), Greater Noida. He has 25 years of teaching experience. He completed his Master degree in Computer Applications from the Institute of Engineering and Technology (IET), Lucknow, in 1998, and M. Tech (Computer Science) from JSSATE, Noida in 2007. He received his Ph.D. (Computer Science and Engineering) from Dr. APJ Abdul Kalam Technical University, Uttar Pradesh, Lucknow in 2016. He has supervised 23 M. Tech. theses. He has published 56 research papers in the journals of repute. His Australian patent title “Women Safety hidden malicious chip using deep learning and IoT based tracking technology” has been granted. He has also filed two patents in India, one is “Accept finger prints and display all the original documents on monitor” and second one is “smart cooking system”. He has Co- authored book title “Modeling and Simulation Concepts”, University Science and three book chapters. He has received grant of Rs. 3.0 lakh for project title “Receiver Buffer Blocking in Multipath Communication” under “collaborative research and innovative program” with MIT, Moradabad funding through TEQIP III AKTU for 2019-20.

Employment

• Noida Institute of Engineering and Tehnology Greater Noida

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (18)

• Emotional Intelligence in Machine Interaction
  2024 DOI: 10.4018/979-8-3693-6806-0.ch009
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• Energy efficient and optimized genetic algorithm for software effort estimator using double hidden layer bi-directional associative memory
  Sustainable Energy Technologies and Assessments 2023 DOI: 10.1016/j.seta.2022.102986
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• An in-depth study of the electrical characterization of supercapacitors for recent trends in energy storage system
  Journal of Energy Storage 2023 DOI: 10.1016/j.est.2022.106198
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• Feature Extraction and Dimensionality Reduction Models for Printed Numerals Recognition
  2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) 2022 DOI: 10.23919/indiacom54597.2022.9763290
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• Indian Sign Language Recognition Using Ensemble Based Classifier Combination
  Macromolecular Symposia 2022 DOI: 10.1002/masy.202100286
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• New Characterization of Electrode of Supercapacitor with Its Application as a Backup Power Supply
  Algorithms for Intelligent Systems 2022 DOI: 10.1007/978-981-16-6893-7_16
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• Self-sustainable smart cities: Socio-spatial society using participative bottom-up and cognitive top-down approach
  Cities 2021 DOI: 10.1016/j.cities.2021.103370
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• Team Cognition Approach in Agile Software Development
  Journal of Engineering Science and Technology Review 2021 DOI: 10.25103/jestr.144.03
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• Fractographic properties of electrode material of supercapacitor (carbon aerogel) with its application
  Advances in Materials and Processing Technologies 2021 DOI: 10.1080/2374068X.2021.1953921
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• Concurrent Multipath Transfer Using Delay Aware Scheduling
  Advances in Intelligent Systems and Computing 2021 DOI: 10.1007/978-981-15-6067-5_27
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