Anchal Garg

Lecturer

A PhD degree in Computer Science & Engineering.

Around 20 years of experience in teaching Computer Science & Engineering/Information Technology/Data Science students in the United Kingdom, India, and Uzbekistan.

Senior member of IEEE and a member of ACM.

13 publications are indexed in Web of Science and 25 in Scopus. Granted a copyright and a patent. Reviewer of several reputed journals and international conferences. Resource Person for various faculty development programs on Outcome Assessment.

Actively involved in research work with national and international professors.

Worked as a Data Analyst for a MOOC course hosted by Indian Institute of Technology Bombay.

Engaged in community service for E-waste management.

Accreditor with international agencies such as ABET (USA) and IET (UK).

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/

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