Dr. Reenu

Assistant Professor

Interest Area(s)

  • Programming in Java
  • Operating Systems
  • Data Structures
  • Machine Learning

Dr. Reenu Batra is currently working as assistant professor in Computer Science and Engineering Department, K. R Mangalam University, Gurugram. She has eleven years of teaching experience with SGT University Gurugram, PDM University (Bahadurgarh), Rohtak Institute of Engineering (Rohtak) and NIT Kurukshetra. She has received her B.Tech and M.Tech degree in Computer Science and Engineering from MDU University, Rohtak. She has supervised many B.Tech and M.Tech students in research. She had completed her Ph.D. degree from SGT University, Gurugram. She has published many research papers in SCI/Scopus/Web of Science & international/national Conferences.

 

  • B.Tech(CSE)- 2009
  • M.Tech(CSE)-2011
  • Ph.D(CSE)-2023
  • 13.5 Years
  1. Batra R., “TL-DNN: Detection Method for AnomalousFlow Classification in Software Defined Network.” Neuro Quantology | August 2022, Volume 20, Issue 9, Page 1824-1839, doi: 10.14704/nq.2022.20.9.NQ44212.
  2. Batra R., Nagpal S., Sharma M.,Rana S., Raheja K.,Saber A., Paper id: EEA-24-0169, “Integration of LSTM Networks with Gradient Boosting Machines (GBM) for Assessing Heating and Cooling Load Requirements in Building Energy Efficiency” Energy Exploration & Exploitation.(Impact Factor 2.7) – 2024,Coummunicated.
  3. Rani U., Kundu S., Batra R., Dahiya N., “Optimized Yolo model with Magnitude based Pruning Optimization based diagnostic support for Hip Replacement through X ray medical images” to CMC-Computers, Materials & Continua (impact factor 3.1)- 2024, Communicated

Published a Book

Batra, R. (2024). Nature Inspired Robotics (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9781032624358, ISBN 9781032624358

  1. Application No.: 202231005713 “AI Based SMS Spam Detection using Machine Learning Approach”
  2. Application No .202211040140 “ On Demand Ordering Food Through Online Crowdsoucing using Machine Learning”
  3. Applicaion No. 202441002740,”Artificial Intelligence and IOT based Smart Urban Waste Management System for Optimal Resource Allocation using Machine Learning Algorithms”
  • Batra R, “Deep Learning Models: An Understandable Interpretable Approach”. In Deep Learning for Security and Privacy Preservation in IoT 2021 (pp. 169-179). Springer, Singapore., https://doi.org/10.1007/978-981-16-6186-0_10, Print ISBN978-981-16-6185-3
  • Batra R, “Anomaly Detection over SDN Using Machine Learning and Deep Learning for Securing Smart City” Green Internet of Things for Smart Cities Concepts, Implications, and Challenge By Surjeet Dalal, Vivek Jaglan, Dac-Nhuong Le CRC Press DOIhttps://doi.org/10.1201/9781003032397, eBook ISBN9781003032397
  • Batra R, “The application of big data in the insurance market” The Application of Emerging Technology and Blockchain in the Insurance Industry, 2023, pp. 91–116
  • Batra, R., (2023). A Comprehensive Framework for the IoT-Based Smart Home Automation Using Blynk. In: Kaiser, M.S., Xie, J., Rathore, V.S. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2021). Lecture Notes in Networks and Systems, vol 401. Springer, Singapore. https://doi.org/10.1007/978-981-19-0098-3_6.
  • Batra, R., Doja, F., Phogat, M., Gupta, P.K., Biswas, S.S. (2022). Using Machine Learning Based CNN Architectural Models for Breast Ductal Carcinoma Recognition. In: Nagar, A.K., Jat, D.S., Marín-Raventós, G., Mishra, D.K. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 333. Springer, Singapore. https://doi.org/10.1007/978-981-16-6309-3_43
  • Batra, R, “A Comprehensive Framework for the IoT-Based Smart Home Automation Using Blynk” In: Kaiser, M.S., Xie, J., Rathore, V.S. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2021). Lecture Notes in Networks and Systems, vol 401. Springer, Singapore. https://doi.org/10.1007/978-981-19-0098-3.
  • Batra, R., “Using Machine Learning Based CNN Architectural Models for Breast Ductal Carcinoma Recognition”. In: Nagar, A.K., Jat, D.S., Marín Raventós, G., Mishra, D.K. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 333. Springer, Singapore. https://doi.org/10.1007/978-981-16-6309-3_43.
  • Batra, R., (2023). A Comprehensive Framework for the IoT-Based Smart Home Automation Using Blynk. In: Kaiser, M.S., Xie, J., Rathore, V.S. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2021). Lecture Notes in Networks and Systems, vol 401. Springer, Singapore. https://doi.org/10.1007/978-981-19-0098-3_6.
  • Batra, R., Doja, F., Phogat, M., Gupta, P.K., Biswas, S.S. (2022). Using Machine Learning Based CNN Architectural Models for Breast Ductal Carcinoma Recognition. In: Nagar, A.K., Jat, D.S., Marín-Raventós, G., Mishra, D.K. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 333. Springer, Singapore. https://doi.org/10.1007/978-981-16-6309-3_43
  • Batra, R, “A Comprehensive Framework for the IoT-Based Smart Home Automation Using Blynk” In: Kaiser, M.S., Xie, J., Rathore, V.S. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2021). Lecture Notes in Networks and Systems, vol 401. Springer, Singapore. https://doi.org/10.1007/978-981-19-0098-3.
  • Batra, R., “Using Machine Learning Based CNN Architectural Models for Breast Ductal Carcinoma Recognition”. In: Nagar, A.K., Jat, D.S., Marín Raventós, G., Mishra, D.K. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 333. Springer, Singapore. https://doi.org/10.1007/978-981-16-6309-3_43.
  • Batra R., ”Study and Trend Prediction of Covid-19 cases in India using Deep Learning Techniques”, International Conference on Mechatronics and Artificial Intelligence (ICMAI) 2021 27 February 2021, Gurgaon, India, DOI:1088/1742-6596/1950/1/012084.
  • Batra R., “A Novel Compact Ultra-Wide Band MIMO Antenna for WLAN 5G & Sub-6GHz Wireless Applications”, February 2024 DOI 1109/IC2PCT60090.2024.10486709 , Conference: 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT),2024.