Sunita Dhingra

About

Sunita Dhingra is serving in Department of Computer Science & Engineering, University Institute of Engineering and Technology at Maharshi Dayanand University Rohtak. She has obtained Bachelors degree in Computer Science & Engineering from C.R State College of Engineering Murthal -Sonepat Haryana INDIA and Masters Degree from National Institute of Technical Teachers’ Training & Research Chandigarh (U.T) INDIA in 2009 and also pursuing Doctorate from Maharishi Dayanand University Rohtak- Haryana INDIA. She has guided many projects to undergraduate & post graduate students. Her research interest includes Multiprocessor Task scheduling, combinatorial optimization, metaheuristics like Genetic Algorithm, Simulated Annealing etc. and published/presented more than ten research papers in international/national journals and conferences.

Employment

• Maharshi Dayanand University Rohtak Assistant Professor
  2008 - Present

Education

• Maharshi Dayanand University Rohtak Ph.D
  2009 - 2015
• National Institute of Technical Teachers' Training and Research Chandigarh Masters of Engineering (M.E)
  2005 - 2009
• Deenbandhu Chhotu Ram University of Science and Technology Bachelors of Engineering (B.E)
  2000 - 2003
• Government polytechnic for women Diploma in Engineering
  1996 - 2000

Projects & Funding

Projects & funding information is unavailable.

Publications (21)

• Big Data Advanced Scheduling Integrating Q-Learning and Cuckoo Search
  International Journal of Intelligent Systems and Applications in Engineering 2024
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• Correction to: An adaptive model of optimal traffic flow prediction using adaptive wildfire optimization and spatial pattern super learning (Wireless Networks, (2024), 30, 4, (2275-2283), 10.1007/s11276-023-03609-w)
  Wireless Networks 2024 DOI: 10.1007/s11276-024-03710-8
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• An adaptive model of optimal traffic flow prediction using adaptive wildfire optimization and spatial pattern super learning
  Wireless Networks 2024 DOI: 10.1007/s11276-023-03609-w
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• A Review of Research on Road Feature Extraction Through Remote Sensing Images Based on Deep Learning Algorithms
  Proceedings - 2023 3rd International Conference on Innovative Sustainable Computational Technologies, CISCT 2023 2023 DOI: 10.1109/CISCT57197.2023.10351299
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• A novel approach for Credit-Based Resource Aware Load Balancing algorithm (CB-RALB-SA) for scheduling jobs in cloud computing
  Data and Knowledge Engineering 2023 DOI: 10.1016/j.datak.2022.102138
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• Enhance traffic flow prediction with Real-Time Vehicle Data Integration
  Journal of Autonomous Intelligence 2023 DOI: 10.32629/jai.v6i2.574
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• Traffic flux prediction on scarce dataset using transfer learning
  Artificial Intelligence, Blockchain, Computing and Security: Volume 2 2023 DOI: 10.1201/9781032684994-6
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• Missing Data Analysis in Traffic Monitoring System Using LSTM
  Proceedings - 2022 International Conference on Computational Modelling, Simulation and Optimization, ICCMSO 2022 2022 DOI: 10.1109/ICCMSO58359.2022.00015
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• The Composite Technique for Predicting Traffic Flow Based on Missing Traffic Information: A Review
  Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022 2022 DOI: 10.1109/ICAC3N56670.2022.10074360
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• Smart Farming: An IOT Based Automation
  Lecture Notes in Networks and Systems 2022 DOI: 10.1007/978-981-16-7952-0_8
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