Dr Suriya Begum

Dr Suriya Begum

  • Online Facilitator
  • Faculty of Engineering and Technology
Faculty of Engineering and Technology
Google Scholar ORCID

Biography

Dr Suriya Begum is a Professor and Data Scientist at NIIT with 25 plus years of experience, and manages the Data Science & Machine Learning team, and is actively engaged in the content development of various domains & delivers the technical sessions. Highly skilled in Data Visualization and Machine Learning (ML). She holds a PhD in High Performance Computing from Visveswaraya Technological University, India. Dr Suriya brings extensive teaching experience, having delivered specialized data science and cloud computing courses across various technical schools (both National and International). Her research interests include Data Science, Data Analytics, Big Data, Business Analytics, Cloud Computing, Machine Learning, Artificial Intelligence, Prompt Engineering, and technological innovation in data science and cloud computing systems. Her interdisciplinary work bridges theory and practice, with impact in both Indian and international contexts.

Academic & Professional Qualifications

  • PhD in High Performance Computing, Visveswaraya Technological University, India, 2019
  • M.Phil in Computer Science and Engineering, Prist University, India, 2011
  • Master’s in Computer Science and Engineering, Allahabad University, India, 2007
  • Bachelor’s in Computer Science and Engineering, Bangalore University, India, 1995

Research Interests

  • Data science
  • Data Analytics
  • Big data
  • Business Analytics
  • Cloud Computing
  • Machine Learning
  • Artificial Intelligence
  • Prompt Engineering

Teaching Areas

  • Data Science
  • Data Analytics
  • Machine Learning / NLP
  • Python / R / C
  • MySQL
  • Tableau / Power BI / Excel
  • High Performance Computing
  • AI Tools

Courses Taught

  • Data Science Project A
  • Data Science Project B

Notable Publications

  1. Book on “Load Balancing Algorithms in Cloud Computing Systems,” Dr Suriya Begum, ISBN 13: 978-620-3-92505-0, 17-6-2021.
  2. Book Chapter on "Emerging Issues in Business Research", ("A Detailed Study of Insurance Cost Prediction by Machine Learning Technique"), Dr Suriya Begum, ISBN 978-93-90728-48-0.
  3. Book Chapter on "Intelligent Sustainable Systems", (ch.18 "A Detailed Study for Bankruptcy Prediction by Machine Learning Technique"), Dr Suriya Begum, ISBN 978-981-16-6368-0, Springer Nature. https://link.springer.com/chapter/10.1007/978-981-16-6369-7_18, 2021.
  4. Book Chapter on "Computational Intelligence for Modern Business Systems", "House Price Prediction by Machine Learning Technique- An Empirical Study", Springer, November 2023
  5. Suriya Begum, Farooq Ahmed Siddique, Rajesh Tiwari,” A Study for Predicting Heart Disease using Machine Learning “, Turkish Journal of Computer and Mathematics Education, ICICE-2021, SCOPUS, April 2021, Vol.12 No.10 (2021), 4584- 4592.
  6. Suriya Begum, Farooq Ahmed Siddique,” A Study to Predict Home Loan Defaulter Using Machine Learning “, Samaroh 2021 – SP Sampathy's Memorial International Conference Technology, Innovation and Quality Management 17-18, June 2021.
  7. Suriya Begum & Dr. Prashanth C.S.R, “Review of Load Balancing in Cloud Computing”, International Journal of Computer Science Issues, ISSN (Print): 1694-0784 | ISSN (Online): 1694-0814, Vol. 10, Issue 1, No. 2, January-2013, pg. 343 – 352.
  8. Suriya Begum & Dr. Prashanth C.S.R, “Investigational Study of 7 Effective Schemes of Load Balancing in cloud Computing”, International Journal of Computer Science Issues, ISSN (Print): 1694-0814 | ISSN (Online): 1694-0784, Vol. 10, Issue 6, No. 1, November-2013, pg. 276 – 287.
  9. Suriya Begum & Dr. Prashanth C.S.R, “Mathematical Modeling of Joint Routing & Scheduling for an Effective Load Balancing in the Cloud”, International Journal of Computer Application, (0975 – 8887), Volume 104 – No.4, October-2014, pg. 32 – 38.
  10. Suriya Begum & Dr. Prashanth C.S.R, “Stochastic Based Load Balancing Mechanism for Non-Iterative Optimization of Traffic in Cloud “, IEEE International Conference, SSN Colg of Engg, Chennai, 23-25 March 2016, WiSPNET 2016. Date Added to IEEE Xplore: 15 September 2016, ISBN Information:  INSPEC Accession Number: 16304175 DOI: 10.1109/WiSPNET.2016.7566336 Publisher: IEEE
  11. Suriya Begum & Dr. Prashanth C.S.R, “Fotm: Framework Optimization Load In Cloud “, Australian Journal of Basic and Applied Sciences, 10(14) September 2016, Pages: 137-145, ISSN:1991-8178 EISSN: 2309-8414, Open Access Journal, Published BY AENSI Publication © IDOSI Publications, 2016.
  12. Suriya Begum & Dr. Prashanth C.S.R, “LBRC: Framework for Load Balancing Based on Resource Control in Cloud Environment “, Middle-East Journal of Scientific Research 24 (9): pg. 2866-2872, 2016 ISSN 1990-9233, © IDOSI Publications, September 2016, DOI: 10.5829/idosi.mejsr.2016.24.09.23831.
  13. Suriya Begum & Kavya, “Analysis of Various Big Data Techniques for Security”, International Journal of Computer Science & Mobile Computing, ISSN: 2320-088X, Vol 5, Issue 3, March 2016, pg. 54 – 58.
  14. Suriya Begum, Kavya & Venugopal, “A Study on Load Balancing Techniques in Cloud Computing Environment”, 3rd International Conference on Convergent Innovative Technologies, Cambridge IT, Bangalore, ISSN(Online): 2319-6890, 20th May-2016, ICCIT-2016.
  15. Suriya Begum, Rohit Mulay & Ashhar, “Near Field Communication: A Survey “, International Journal of Emerging Technology and Advanced Engineering, ISSN 2250-2459, ISO 9001:2008 Certified Journal, ISO 9001:2008 Certified Journal, Volume 6, Issue 6, June 2016, pg. 92-97
  16. Suriya Begum & Swapnil Konar, “INCONSISTENCIES IN BIG DATA “, International Journal of Development Research (IJDR), ISSN: 2230-9926, Vol. 06, Issue 08, August, 2016, pp.8842-8846.
  17. Suriya Begum & Sonia Rani Panda, “Processing the Geo Scattered Big Data in an advanced Map Reduce Schema “, International Journal of Advanced Research in Science Engineering and Technology (IJARSET), ISSN (Online 2350–0328), Vol. 4, Issue. 3, March 2017, pg.3480 –3486.

Patents:

  1. Augmented Reality Based Low-Cost Smart Helmet For E-Vehicle (03-02-2021), 202111006351(Indian), 03-02-2021, 12-02-2021
  2. Artificial Intelligence and Big Data Analytics-Based Insurance Service Fraud Detection System (03-03-2021) (Indian), 202141008884, 03-03-2021, 12-03-2021
  3. Artificial Intelligence and Big Data Analytics-Based Insurance Service Fraud Detection System (03-03-2021) (Indian), 2021101568(Australian), 03-03- 2021(under process)

AICTE Projects:

  1. Appointed as an SME REVIEWER by AICTE in the AICTE SLAP PROJECT and Contributed to the AICTE SLAP PROJECT

Achievements & Accolades

  1. Real Time Projects: Contributed to FIVE client projects in various domains, Bank Good Credit (contributed to the exploration of data analysis (EDA) and did feature engineering), Home Loan Default Risk (cleaning and transforming the data), Insurance Cost Prediction (performed analysis of the data through visualization),  FicZon Sales Effectiveness (After k-fold cross-validation technique, the final accuracy was 77%) and  ITSM Incident Management (Project was successfully delivered and deployed at client location).
  2. Recognized by multiple clients with 5-star ratings for reliability, domain expertise, and problem-solving ability.
  3. Appointed as an Associate Reviewer, advisory board member and AICTE IIC Ambassador.
  4. Guide and mentor for data science projects, UG, PG, M.Phil students and corporate clients (National and International).
  5. Silver Winner in the “Most Active LINC Fellow and SME” for Data Science Projects in the Annual LINC Fellow Awards (ALFA) 2024.

Professional Associations

  1. Lifetime member of CSI (CSI-I1180451)

  2. Member of IAESTE (Since 2021) 

  3. IEEE (Since Sep 2011).