Dr. Luxmi Sapra
Associate Professor

luxmi.sapra@chitkara.edu.in

Expert Areas : Machine Learning, Ensemble Modeling, Sentiment Analysis, Data Analytics

Dr Luxmi Sapra is working as Associate Professor in Chitkara University Research and Innovation Network (CURIN) at Chitkara University, Punjab. She has done her Doctorate in Computer Science from Engineering from NorthCap University and received her Master’s in Technology in Software Engineering from MDU, Rohtak.

She is having approximately 15 years of research and teaching experience.  She has to her credit more than 15 publications in reputed journals and conferences including Elsevier and Springer, IEEE.

She is also an active reviewer of various international Journals and successfully organized many workshops and international conferences. Her research areas include Machine Learning, Artificial Neural Networks and Healthcare.

Dr. Luxmi Sapra
  • Research
  • Teaching
  • Consulting
  • Awards
  • Patents
  • Education

Research Papers:

  1. Verma, L., Sapra, V., (2019). Semantic Analysis of Cardiovascular Disease Sentiment in Online Social Media. Available at SSRN 3462426.
  2. Verma L., Sandhu J.K., Goyal N. (2019), Intelligent Method for Detection of Coronary Artery Disease with Ensemble Approach, 1st International Conference on Advanced Communication and Computational Technology (ICACCT 2019), IEEE, 1-5, 6-7 Dec. 2019, Kurukshetra, India.
  3. Goyal N., Sandhu J.K., and Verma L. (2019), CDMA based Security against Wormhole Attack in Underwater Wireless Sensor Networks, 1st International Conference on Advanced Communication and Computational Technology (ICACCT 2019), IEEE, 1-5, 6-7 Dec 2019, Kurukshetra, India.
  4. Useej A, Verma L, Data Visualization:  A problem solving Technique, in National Conference on Recent Trends in Computational Intelligence and Communication Technology (NCRTCICT-2019) on 25th-26th February, 2019. Organized by DBIT, Dehradun.
  5. Maheshwari H, Verma L, Chandra U., Overview of Big Data and its Issues in National Conference on Recent Trends in Computational Intelligence and Communication Technology (NCRTCICT-2019) on 25th-26th February, 2019. Organized by DBIT, Dehradun.
  6. Verma L, Srivastava S, Negi PC, An intelligent non-invasive model for coronary artery disease detection, Complex and Intelligent Systems, vol 4, issue 1, pp 11–18, March 2018. (ESCI Indexed), Publisher Springer.
  7. Verma L, Mathur M., Deep learning based model for decision support with Case Based Reasoning, in International Conference on Engineering Technology and Management for Sustainable Development (ICETMSD-2018) 27th – 28th October 2018 Organized by DBGI, Dehradun.
  8. Verma L, Srivastava S, Sapra V, Machine Learning Methods in Early Diagnosis of Coronary Artery Disease, Journal of Cardiology & Cardiovascular Therapy, vol 11,issue 1, 2018.
  9. Verma L, Srivastava S., A Data Mining Model for Coronary Artery Disease Detection Using Non-invasive Clinical Parameters, Indian Journal of Science and Technology. vol 9, no .48, pp.1-6, December 2016.
  10. Verma L, Srivastava S, Negi PC, A Hybrid Data Mining Model to Predict Coronary Artery Disease Cases Using Non-Invasive Clinical Data, Journal of Medical Systems.Vol. 40, No.7, July 2016 pp.1-7 DOI 10.1007/s10916-016-0536-(Indexed in Web of Science) Publisher : Springer
  11. Verma L, S.Srivastava , Hybrid Model for Decision Support system with Data Mining and CBR, International Journal of Innovations in Engineering and Technology, Vol. 7 Issue 2, August 2016.
  12. Verma L, Srivastava S, Srinivasan S, Case Retrieval Decision Support system with integration of data mining”, Bilingual International Conference on Information Technology: Yesterday, Today and Tomorrow PP 108-113, 2015 organized by DRDO.
  13. Verma L, Srivastava S, Srinivasan S., Data Mining and Case based Reasoning Decision support system, in National Conference on Emerging Computing Technologies and ICT for Development, February 2015 organized by MDU, Rohtak, India.
  14. Verma L, Sapra V, Integrated Decision Support System using Data Mining and Case Based Reasoning”, in International Conference on Computer Science and Information Technology: Trends, Challenges and Issues (CSIT-TCI 2015) organized by Rukmini Devi Institute of Advanced Studies on 30 January – 31 January 2015, Delhi, India.
  15. Verma L, Srinivasan S, Sapra V., Integration of rule based and case based reasoning system to support decision making. In proceedings of IEEE International Conference on Challenges in Intelligent Computing Techniques (ICICT), on 07-08th February, 2014 (pp. 106-108 ISBN: 978-1-4799-2899-6 organized by Krishna Institute of Engineering and Technology , Ghaziabad, India.
  16. Verma L, Sapra V, Evolution of an intelligent decision support system for software project management using data mining techniques, in National Conference on Future Technologies in Science and Engineering held at PDM College of Engineering in collaboration with IEEE Student Branch on Nov 17,18 2011.
  17. Verma L, Comparative study of Binary Classifiers using Medical data set, in National Conference on Future Technologies in Science and Engineering held at PDM College of Engineering in collaboration with IEEE Student Branch on Nov 17,18 2011.
  18. V.Kumar, L.Verma., Binary Classifiers for Health Care Databases: A Comparative Study of Data Mining Classification Algorithms in the Diagnosis of Breast Cancer, International Journal of Computer Science and Technology. Vol 1, No.2 December 2010.

Field of Specialisation:

Machine Learning, Ensemble Modeling, Sentiment Analysis, Data Analytics

Academic Events:

  1. Attended one week Educators workshop on Robotic Process Automation organized by NITTR, Chandigarh from 22nd July to 26th July 2019.
  2. Attended five days Faculty Development Programme on Data Science and Big Data Analysis conducted by ICT Academy from 15-19 January 2019, Organized by Devboomi Group of Institution, Dehradun.
  3. Attended FPD on Research Methodology, Organized by Uttaranchal University, 4-9 December 2017, Dehradun, India.
  4. Attended two weeks Faculty Development Programme on Effective Engineering Education, organized by PDM College of Engineering, Bahadurgarh from 17-23 December 2012.
  5. Attended two weeks Faculty Development Programme on Teaching Methodology in Engineering Education, organized by PDM College of Engineering, Bahadurgarh  from 09-22, July 2011.
  6. Attended two weeks Faculty Development Programme on Innovative Approaches in Teaching Learning, organized by PDM College of Engineering, Bahadurgarh from 06-19, December 2010.
  7. Attended a Training-cum-Workshop on Software Testing in collaboration with IEEE – IMS/EMBS (Delhi). Organized by PDM College of Engineering.
  8. Workshop on “Java” organized by PDM group of Institutions , Bahadurgarh, India on 7 April,2014

Machine Learning, Healthcare, Software Engineering , R programming, and Wireless Sensor Networks

  1. Appointed as Bentham Science Brand Ambassador by Bentham Science Publisher in 2019.
  2. Served as a Guest editor special issue on “High Performance Computing for Machine Learning”  International Journal of Grid and High Performance Computing (IJGHPC) , IGI Global, USA.
  3. Successfully completed MOOC course on Data Mining with Weka from University of Waikato, New Zealand.
  4. Successfully completed peer review academy course from Springer.
  5. Organized International Conference on Engineering Technology and Management for Sustainable Development (ICETMSD-2018) 27th – 28th October 2018 ICETMSD 2018 at DBIT, Dehradun as Co-Convener.
  6. Organized a National Conference on Recent Trends in Computational Intelligence and Communication Technology NCRTCICT 2019 at DBIT, Dehradun as Program Chair.
  7. Appreciation letter for successfully coordinated and implemented Microsoft Edvantage program in PDM College of Engineering.

Patent Filed:

  1. System and Method for Monitoring Cardio-Vascular Parameters of a Subject | Patent No. 202011017202, Dt. 22 April, 2020.
  2. System and Method for Assessing Vulnerability of Wireless Sensor Network | Patent No. 202011009764, Dt. 06March, 2020.
  1. Currently working as Associate Professor (Research) at Chitkara University Research and Innovation Network, Chitkara University, Punjab, India
  2. Worked as Associate Professor at Dev Bhoomi Group of Institution, Dehradun
  3. Worked as Assistant Professor at PDM College of Engineering, Haryana, India