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Dr. Sneh Lata Yadav

Assistant Professor

Interest Area(s)

  • Data Science & Machine Learning
  • IOT (Internet of Things)
  • Wireless Sensor Networks
  • Design & Analysis of Algorithms

Dr. Saneh Lata Yadav has 10 years of rich academics experience. She has done her B. Tech-CSE from Kurukshetra University, M. Tech-CSE from GJU S& T, Hisar and Ph. D. from GGS IPU, New Delhi. She has qualified UGC-NET-JRF in computer science & Applications. She has published 20+ research papers in reputed journals (SCIE, Scopus, WOS indexed). She has presented various papers in international conferences and received best paper presenter for few. She has published 4 book chapters (Scopus indexed) for which she received royalty from Elsevier. She has published 6 national and international Patents. Her research areas are WSN, IoT and Machine learning.
  • Ph.D (Computer Science) from Guru Gobind Singh Indraprastha  University, New Delhi in 2022.
  • M.Tech (Computer Science & Engineering) from Guru Jambheshwar University of Science and Technology, Hisar  in 2013.
  • B.Tech(Computer Science & Engineering) from Kurukshetra  University, Kurukshetra in 2011.
  • 10+2 from Army Public School, Hisar  in 2007.
  • Worked as Assistant Professor  with SGT University in the department of Computer Science & Engineering from April 2022 to July 2023.
  • Worked as Empanelled faculty  with Shri Vishwakarma Skill University during Oct 2021-April 22
  • Worked as Assistant Professor, Department of Computer Science & Engineering, K. R. Mangalam University from  July 2014 to Sept 2021.
  • Worked as Assistant Professor, Department of Computer Science & Engineering with SCET, Affiliated with MDU, Rohtak, from Aug, 2013 to April 2014.
  • Data Science & Machine Learning
  • IOT (Internet of Things)
  • Wireless Sensor Networks
  • Design & Analysis of Algorithms
  • Fake News Detection with Machine Learning (COURSERA) Skills used: Python, AI, ML, NLP.
  • Computer Vision – Image Basics with OpenCV and Python (COURSERA) Skills: Python, OpenCV
  • Activity recognition using Python, Tensorflow and Keras (COURSERA) Skills: Python, DL, Tensorflow, Keras, Cognitive data science
  • Best Paper Award in Conference
  • UGC-NET-JRF qualified
  • Object Localization using Tensorflow (COURSERA) Skills: ML, DL, Computer Vision, Keras.
  • Received Best Young Researcher
  • S. L. Yadav, Bhatia, An Algorithmic Approach based on PCA for Aspect Based Opinion Summarization”, Paper presented in Special Session (9.004) of INDIACom-2019. IEEE, 2019 (Scopus)
  • S.L. Yadav, R. L. Ujjwal (2021), “Rate based congestion control in Wireless Sensor Networks”, in International conference on Intelligence and Safety for Robotics.
  • S. L. Yadav, R. L. Ujjwal “A Study on Congestion Control Mechanisms in Wireless Sensor Networks” Jour of Advanced Research in Dynamical & Control Systems, Vol. 10, 11-Special Issue, 2018. (Elsevier, Scopus Index)
  • Saneh Lata Yadav, R. Dhaiya, S. Bhatia, “Conclusions”. In Research and applications of artificial intelligence to mitigate pandemics, Elsevier, ISBN: 9780323909594. (Scopus)
  • Saneh Lata Yadav, “Deep learning approach for network intrusion detection system”. In An interdisciplinary approach to modern network security, CRC Press. (Scopus)
  • Saneh Lata Yadav, “Information retrieval in Hidden Web” in New Opportunities for Sentiment Analysis and Information Processing , IGI Global, ISBN13: 9781799880615. (Scopus)
  • Saneh Lata Yadav, “Data Mining for Internet of Things: A survey”, in Advanced Computer Science Applications, Taylor & Francis, ISBN: 9781003369066. (Scopus)
  • S.L. Yadav, B. Kumar, A. Kumar, S. Rani (2021), “Baseline prediction of dementia through deep learning techniques”, in 1st International conference on Mechatronics and artificial Intelligence.  (Web of Science, Scopus Indexed)
  • S. L. Yadav, M. Phogat, “A Review on Bat Algorithms” International Journal of Computer Sciences and Engineering, Vol 5(7), E-ISSN 2347-2693, 2017.
  • S. L. Yadav, M. Phogat, “A Survey on Cross Layer Design Implementation in Wireless Sensor Networks” International Journal of Sciences, Engineering and Computer technology, Vol 7(1), pp 17-19, July 2017.
  • S. L. Yadav, M. Phogat, ““Study of Nature Inspired Algorithm” International Journal of Computer Treands and Technology, Vol 49(2), ISSN 2231-2803, 2017.
  • S. L. Yadav, A. Sohal, “Comparative Study of Different Selection Techniques in Genetic Algorithms” International Journal of Engineering Sciences and Mathematics, Vol 6(3), ISSN 2320-0294, pp 174- 180, July 2017.
  • S. L. Yadav, A. Sohal, “A Review paper on Big Data Analytics in Cloud Computing” International Journal of Computer Treands and Technology, Vol 49(3), ISSN 2231- 2803, pp 156-160, July 2017.
  • S. L. Yadav, Y. chabba, “Analysis of Rate Based Congestion Control Algorithms in Wireless Technologies” International Organization of Scientific Research, vol. 12, issue 3, pp. 103-109, Jul-13.
  • Yadav, S.L., Ujjwal, R.L. Mitigating congestion in wireless sensor networks through clustering and queue assistance: a survey. J Intelligent Manufacturing (2020). (SCIE) https://doi.org/10.1007/s10845-020- 01640-8
  •  Saneh Lata Yadav & R. L. Ujjwal (2020): Sensor data fusion and clustering: A congestion detection and avoidance approach in wireless sensor networks, Journal of Information and Optimization Sciences. https://doi.org/10.1080/02522667.2020.1799 512 (ESCI)
  • S.L. Yadav, B. Kumar, A. Kumar, S. Rani (2021), “RPL Based Routing Protocols for Load Balancing in IoT Network”, in 1st International conference on Mechatronics and artificial Intelligence. (Web of Science, Scopus Indexed)
  • Saneh Lata Yadav, R. L. Ujjwal, Sushil Kumar, Omprakash Kaiwartya, Manoj Kumar, Pankaj Kumar Kashyap, “Traffic and Energy Aware Optimization for Congestion Control in Next Generation Wireless Sensor Networks”, Journal of Sensors, vol. 2021, Article ID 5575802,16 pages, 2021.  https://doi.org/10.1155/2021/5575802. (SCIE).
  • S. L. Yadav, (2023), “A Deep Convolution Network-Based Pneumonia Identification from Thoracic X-Ray Imagery Scans” Lecture Notes in Networks Systems, Intelligent Sustainable System, pp 719-728 (Scopus).
  • S. L. Yadav, (2023), “A Comprehensive Approach for Recognizing the Ocular Impression Using Machine Learning-Based CNN and LBP Plainer Interpolation”, ICT infrastructure and Computing (Lecture Notes in Networks and Systems), ISSN-978-981-19-5331-6 (Web of Science, Scopus Indexed)
  •  S. L. Yadav, A. Sohal, “Study of Various Selection Techniques in Genetic Algorithms” International Journal of Engineering Sciences and Mathematics, Vol 6(3), ISSN 2320-0294, pp 198-204, July 2017

Patents

  •  Application No: 202011007656 Title: IMRO-Research: INTELLIGENT RESEARCH METHOD FOR RESEARCHING OBJECT
  • Application No: 202021013556 Title: ENTERPRISE IOT-BASED APPLICATION DEVELOPMENT PLATFORM USING MACHINE AND DEEP LEARNING
  • Application No: 202141027587 Title: AUTOMATIC INTELLIGENT DETECTION OF CANCER USING MACHINE LEARNING
  • Application No: 202111035698A Title: THE CONTROLLING MACHINE TOOLS SYSTEM BY USING MACHINE LEARNING.

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