Anchal Garg

Anchal holds a PhD in Computer Science & Engineering and is a Fellow of the Higher Education Academy (UK), a Senior Member of the IEEE, and a member of the ACM.

Anchal has over 23 years of teaching experience in Computer Science & Engineering, Information Technology, Data Science, and Artificial Intelligence, spanning undergraduate and postgraduate programmes including BSc, MSc, MRes, BTech, MTech, and PhD.

Her research interests and subject specialisms include Data Science and Artificial Intelligence in Healthcare, Digital Health, Climate Change, and Learning Analytics.

Her teaching specialisms include programming languages (C, C++, Java, R, Python), Data Science, Big Data Analytics, Time-Series Forecasting, and Research Methodology.

Research Interests and Research Subject Specialisms:

Data mining, Learning Analytics, Process Mining, Big Data, Machine Learning

Teaching specialisms;

Programming, Data Science with R and Python, Big data, DevOps, Process Mining, Research Methodology

Publications and Research:

Copyright:
Shukla, B. & Garg, A. (23rd September 2019). An IT-Enabled Strategic Operational Excellence Model for Higher Educational Institutions. Diary No. 10537/2015-CO/A, ROC No. A-128224/2019.

Patent:

Bhatia, S., Quasim, M.T., Kohli, R., Dev, K., Garg, A., Kumar, R., Chabbra, M., Bisht, A.S., Madamala, R., & Sarkar, B.K.. (9th September 2020). DAI- Dataset Discovery: Dataset Discovery in Data Analytics using AI-Based Programming. Patent No. 20201011842. Australian Government.

Journals:

Dhingra, K., Garg, A., Yadav, D. & Pujari, J. (2021). Impediments to Effective Utilization of Assistive Technology for Learning Disabled. Technology and Disability.

Iyer, M., Sharma, R., Sahasrabudhe, S., Garg, A & Lokhnade, G. (2021). Project OSCAR: Open Source Animations Repository to Foster Self-Regulated Learning. IEEE Bulletin of the Technical Committee on Learning Technology.

Garg, A., Madhulika, Hooda, M. An Expert System for Controlling Obesity and Overweight Issues among Urban and Semi-Urban School going Children (5-12 yrs): An Epidemiological Study. Journal of Clinical and Diagnostic Research.

Garg, A., Shukla, B., & Kendall, G. (2015). Barriers to implementation of IT in educational institutions. The International Journal of Information and Learning Technology. [Cited by 32]

Garg, A., & Shukla, B. (2015). Open Source Technologies: A benevolence in Education Informatics. Advanced Science Letters, 21(1), 117-121.

Srivastava, S., & Garg, A. (2013). Data mining for credit card risk analysis: a Review. International Journal of Computer Science Engineering and Information Technology Research, 3(2), 193-200. [Cited by 10].

Choudhary, N., Garg, A. & Shukla, B. (2018). Curriculum Innovation: Are we on the Right Track? International Journal of Applied Business and Economic Research, 15(22), 429-440.

Garg, A., & Shukla, B. (2017). Contemplations on IT implementation in the Higher Educational Institutions. International Journal on Applied Business & Economic Research,15(17), 201-220.

Goel, R., & Garg, A. (2013). A Parametric Layered Approach to Perform Web Page Ranking. International Journal of Computer Applications, 67(14).

Chaurasia, O.P., Giri, S.R. & Garg, A. (2012). A Novel Algorithm to Minutiae Matching. International Journal Image, Graphics and Signal Processing, 4(3), 8-14.

Conferences:

Mittal, R., & Garg, A. (2020, July). Text extraction using OCR: A Systematic Review. In 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 357-362). IEEE.

Bhogal, R., & Garg, A. (2020, June). Anomaly Detection and Fault Prediction of Breakdown to Repair Process Using Mining Techniques. In 2020 International Conference on Intelligent Engineering and Management (ICIEM) (pp. 240-245). IEEE.

Chaudhary, S., & Garg, A. (2020, January). A Machine Learning Technique to Detect Behavior Based Malware. In 2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 655-659). IEEE.

Sogy, M., Kaur, H., Garg, A., Khunger, M., & Sehgal, R. (2019, November). Assessing Dynamic Learners' Behaviour Using Open Ended Tasks. In 2019 4th International Conference on Information Systems and Computer Networks (ISCON) (pp. 234-239). IEEE.

Roy, S., & Garg, A. (2017, October). Predicting academic performance of student using classification techniques. In 2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) (pp. 568-572). IEEE. [Cited by 26].

Roy, S., & Garg, A. (2017, October). Analyzing performance of students by using data mining techniques a literature survey. In 2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) (pp. 130-133). IEEE. [Cited by 17].

Poojitha, V., Bhadauria, M., Jain, S., & Garg, A. (2016, January). A collocation of IRIS flower using neural network clustering tool in MATLAB. In 2016 6th International Conference-Cloud System and Big Data Engineering (Confluence) (pp. 53-58). IEEE. [Cited by 10].

Jain, A., Wadhwa, M., & Garg, A. (2019, September). Hyper Optimized Molecular Subtype Predictio of Breast Cancer. In 2019 International Conference on Computing, Power and Communication Technologies (GUCON) (pp. 640-644). IEEE.

Upadhyaya, D., & Garg, A. (2019, September). Leveraging on Gamification and Learning Analytics for Improved Student Learning. In 2019 International Conference on Computing, Power and Communication Technologies (GUCON) (pp. 132-138). IEEE.

Dhingra, K., Garg, A., & Yadav, D. (2019, February). Assistive Technology for Preliminary Diagnosis of Learning Disability (LD) among Children. In 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon) (pp. 61-66). IEEE.

Garg, A., & Shukla, B. (2017, April). IT implementation in the education sector: A review. In 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) (Vol. 2, pp. 604-610). IEEE.

Chaudhary, R., Bhadauria, M., & Garg, A. (2017, August). Predictive analysis techniques for road accident injuries: A survey. In 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon) (pp. 91-96). IEEE.

Arora, R., Garg, A., & Sareen, M. (2016, January). Framework for augmenting security systems at airports. In 2016 6th International Conference-Cloud System and Big Data Engineering (Confluence) (pp. 231-235). IEEE.

Rai, P., Dhir, S., & Garg, A. (2015, March). A prologue of JENKINS with comparative scrutiny of various software integration tools. In 2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 201-205). IEEE. [Cited by 8].

Nandan, V., Dhir, S., & Garg, A. (2015, October). Statistical analysis of Indian e-commerce market. In 2015 International Conference on Soft Computing Techniques and Implementations (ICSCTI) (pp. 146-151). IEEE.

Mishra, A., Garg, A., & Dhir, S. (2012, November). A cybernetic approach to control employee attitude for implementation of green organization. In World Congress on Sustainable Technologies (WCST-2012) (pp. 49-53). IEEE.

Magazines:
Bhumica, Dhir, S., Madhurima, Madhulika & Garg, A. (2015, July). World of Mobility Management: A Discussion on Architecture and Cellular Structure. CSI Communications, 39(4), 11-12.

Garg, A. Madhurima, Madhulika & Dhir, S. (2014, November). A Walkthrough and Pathfinder for Research Novitiates: Google Scholar vs Microsoft Academic Search. CSI Communications, 38(8), 22-25.

Madhurima, Dhir, S. Madhulika & Garg, A. (2014, August). Software Testing: An Insight of Latest Tools and Techniques with a test script execution in Rational Robot. CSI Communications, 38(5), 17-21.

Madhulika, Madhurima, Garg, A., Dhir, S. (2014, August). Visualizing EEG Data using EEG Lab Tool Box in MATLAB Conceptions and Perceptions. CSI Communications, 38(5), 32-35

Madhulika, Garg, A. & Pratibha, D. (2017, September). Digital Democracy - Digitizing the Future. CSI Communications.

Book Chapters:

Kohli, R., Garg, A., Phutela, S., Kumar, Y., & Jain, S. (2021). An Improvised Model for Securing Cloud-Based E-Healthcare Systems. In IoT in Healthcare and Ambient Assisted Living (pp. 293-310). Springer, Singapore.

Kohli, R., Phutela, S., Garg, A., & Viner, M. (2021). Artificial Intelligence Technology to Help Students With Disabilities: Promises and Implications for Teaching and Learning. In Singh, A., Yeh, C. J., Blanchard, S., & Anunciação, L. (Ed.), Handbook of Research on Critical Issues in Special Education for School Rehabilitation Practices (pp. 238-255). IGI Global. http://doi:10.4018/978-1-7998-7630-4.ch013

Suhag, V., Garg, A., Dubey, S. K., & Sharma, B. K. (2020). Analytical Approach to Cross Project Defect Prediction. In Soft Computing: Theories and Applications (pp. 713-736). Springer, Singapore.

Arora, R., & Garg, A. (2018). Analysis of software repositories using process mining. In Smart Computing and Informatics (pp. 637-643). Springer, Singapore.

Chopra, D., Sharma, E., Garg, A., & Kumar, S. (2018). Comparison Between Gaming Consoles and Their Effects on Children. In Soft Computing: Theories and Applications (pp. 577-583). Springer, Singapore.

Handa, H., & Garg, A. (2018). Approach to reduce operational risks in business organizations. In Information and Communication Technology for Sustainable Development (pp. 123-131). Springer, Singapore.

Chaudhary, R., Garg, A., & Bhadauria, M. (2018). Predictive analytics for LAMA and absconding behaviour of patient. In Smart Computing and Informatics (pp. 645-650). Springer, Singapore.

Kumar, A., Bhatia, M., & Garg, A. (2017). Anatomization of Software Quality Factors: Measures and Metrics. In Innovations in Computer Science and Engineering (pp. 333-338). Springer, Singapore.

https://www.linkedin.com/in/anchal-garg-a572641b/