Sandhya Makkar

Dr Sandhya Makkar PhD, MPhil, MA

Senior Lecturer-Data Analytics


Summary

Dr. Sandhya Makkar is a dedicated educator and accomplished researcher with over fifteen years of distinguished experience in the field of Big Data Analytics and Optimization. She holds a doctoral degree in Optimization, a Master of Philosophy in Time-Cost Tradeoff Transportation Problems (Mathematical Programming), and a Postgraduate degree in Operations Research, all from the University of Delhi, India.

Currently serving as a Senior Lecturer of Big Data Analytics at Sheffield Hallam University, Sheffield, UK, Dr. Makkar also holds the position of Adjunct Faculty at SP Jain Global Business School in Sydney, Singapore, Dubai, and Mumbai. Throughout her academic journey, she achieved first-class honors and secured University Rank during both her graduation (Mathematics) and post-graduation (Operational Research).

In addition to her academic roles, Dr. Makkar serves as the Book Editor for two series at CRC Press, Taylor & Francis Group, USA: a) Information Technology, Management, and Operations Research Practices, and b) Big Data for Industry 4.0: Challenges & Applications.

Dr. Makkar has been recognized as a notable researcher and has been invited to chair technical sessions at various national and international conferences. She has authored numerous research papers and articles, actively contributing to the fields of Big Data Analytics, Supply Chain Analytics, Business Analytics, Internet of Things, Machine Learning, and Optimization Techniques.

Furthermore, Dr. Makkar has conducted Faculty Development and Management Development Programs on 'Predictive Analytics' and 'Optimization Techniques.' Her expertise has been sought by institutions such as the National Academy of Defense Production, India, for training fresh recruits in Defense on Predictive Analytics (Machine Learning), and the National Institute of Technical Teachers Training and Research, India, on the same subject.

Currently, Dr. Makkar is engaged in the writing of two books: a) "Artificial Intelligence with Smart City Development" in collaboration with international partners, to be published by Taylor & Francis, USA, and b) "Artificial Intelligence in Transportations & Logistics," to be published by De Gruyter, Germany.

Passionate about Machine Learning and Artificial Intelligence, Dr. Makkar has worked on projects related to Sentiment Analysis, Predictive Analytics, Predictive Maintenance, and more. For further inquiries, she can be contacted at s.makkar@shu.ac.uk or through her website: https://sites.google.com/view/sandhyamakkar/home.

Teaching

Department of Computing

College of Business, Technology and Engineering

Subject area 

Digital Analytics & Technologies

Courses taught 

M.Sc. Big Data Analytics

Modules taught 

Data Analytics: Tools & Techniques
Advance Data Project Management

Publications

Journal articles

Shobayo, O., Sasikumar, S., Makkar, S., & Okoyeigbo, O. (2024). Customer Sentiments in Product Reviews: A Comparative Study with GooglePaLM. Analytics, 3 (2), 241-254. http://doi.org/10.3390/analytics3020014

Jamader, A.R., Das, P., Acharya, B., & Makkar, S. (2022). Smart Hospitality and Secure Tourism Management using Blockchain Technology: BESHosTM Approach. International Journal of Computer Science and Informatics, 23-35. http://doi.org/10.47893/ijcsi.2022.1196

Makkar, S. (2019). Two Stage Supply Chain Optimization for Perishable Products Under Fuzzy Environment. International Journal of Risk and Contingency Management, 8 (3), 31-48. http://doi.org/10.4018/ijrcm.2019070103

Sandhya, M., & Prakash, J. (2013). Procurement-distribution model for perishable items with quantity discounts incorporating freight policies under fuzzy environment. Yugoslav Journal of Operations Research, 23 (2), 183-196. http://doi.org/10.2298/yjor130211029m

Bajaj, S., Jha, P.C., & Aggarwal, K.K. (2013). Single-source, single-destination, multi product EOQ model with quantity discount incorporating partial/full truckload policy. International Journal of Business Performance and Supply Chain Modelling, 5 (2), 198. http://doi.org/10.1504/ijbpscm.2013.053493

Makkar, S., & Jha, P.C. (2012). Single-Source, Multiple-Destination coordination of multi item EOQ model for perishable products with quantity discounts incorporating Partial/Full truckload policy under fuzzy environment. Journal of Information and Optimization Sciences, 33 (2-3), 385-399. http://doi.org/10.1080/02522667.2012.10700152

Makkar, S., & Jha, P.C. (2012). Single-source, Multi-destination, coordination of multi item EOQ Model for Perishable Products with Quantity Discounts incorporating Partial/Full Truckload policy. International Journal of Science Technology and Management, 76-85.

Conference papers

Tandon, H., Maheshwari, S., Makkar, S., & Manoharan, G. (2022). Impact of trade deficit on defence expenditure. INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY. http://doi.org/10.1063/5.0082286

Gulati, N., Sethi, A., Mahesh, D., Makkar, S., Manoharan, G., Megaladevi, , & Palanivel, R. (2022). Implementation of blockchain in supply chain. INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY. http://doi.org/10.1063/5.0083008

Makkar, S., Bajpai, T., Bhola, M., Mahesh, D., & Manoharan, G. (2022). Blockchain disruption in banking sector. INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY. http://doi.org/10.1063/5.0082288

Makkar, S., & Jaiswal, S. (2022). Predictive Analytics on E-commerce Annual Sales. In Proceedings of Data Analytics and Management, (pp. 557-567). Springer Nature Singapore: http://doi.org/10.1007/978-981-16-6289-8_46

Makkar, S., Khan, A., Lal, A., & Manoharan, G. (2022). Predicting air passenger traffic during Covid-19 & its economic impact. AIP Conference Proceedings, 2418 (1). http://doi.org/10.1063/5.0082285

Jain, D., Makkar, S., Jindal, L., & Gupta, M. (2021). Uncovering Employee Job Satisfaction Using Machine Learning: A Case Study of Om Logistics Ltd. In Advances in Intelligent Systems and Computing, (pp. 365-376). Springer Singapore: http://doi.org/10.1007/978-981-15-5148-2_33

Makkar, S., Sethi, A., & Jain, S. (2021). Predictive Analytics for Retail Store Chain. In Advances in Intelligent Systems and Computing, (pp. 631-641). Springer Singapore: http://doi.org/10.1007/978-981-15-5148-2_56

Makkar, S., Nangia, S., & Hassan, R. (2020). IoT based predictive maintenance in manufacturing sector ISBN 978-981-15-5112-3. In International Conference on Innovative Computing and Communications Proceedings of ICICC 2020, Volume 1, 21 February 2020 - 23 February 2020.

Makkar, S., Naga, R.D.G., & Solanki, V.K. (2019). Applications of machine learning techniques in supply chain optimization. In ICICCT 2019 – System Reliability, Quality Control, Safety, Maintenance and Management Applications to Electrical, Electronics and Computer Science and Engineering. Springer

GUPTA, D., GANDHI, K., MAKKAR, S., & JHA, P.C. (2013). MULTI-ITEM TWO-STAGE EOQ MODEL INCORPORATING QUANTITY AND FREIGHT DISCOUNTS. Some Recent Advances in Mathematics and Statistics. http://doi.org/10.1142/9789814417983_0010

Makkar, S., Jha, P.C., & Arora, N. (2012). Single-Source, Single-Destination Coordination of EOQ Model for Perishable Products with Quantity Discounts Incorporating Partial/Full Truckload Policy under Fuzzy Environment. In Advances in Intelligent and Soft Computing, (pp. 971-982). Springer India: http://doi.org/10.1007/978-81-322-0487-9_90

Book chapters

Makkar, S., & Logani, M. (2023). Machine Learning for Smart City AI Systems. In Makkar, S., Ravindran, G., Chakrabortty, R., & Pal, A. (Eds.) Handbook of Artificial Intelligence for Smart City Development Management Systems and Technology Challenges. (1st). Taylor & Francis

Makkar, S., & Logani, M. (2023). Machine Learning for Smart City AI Systems. In Makkar, S., Ravindran, G., Chakrabortty, R., & Pal, A. (Eds.) Handbook of Artificial Intelligence for Smart City Development Management Systems and Technology Challenges. (1st). Taylor & Francis

Salunkhe, A.A., Gobinath, R., & Makkar, S. (2022). Soft computing applications in rainfall-induced landslide analysis and protection—Recent trends, techniques, and opportunities. In Computers in Earth and Environmental Sciences. (pp. 271-287). Elsevier: http://doi.org/10.1016/b978-0-323-89861-4.00036-1

Sinthuja, U., Thavamani, S., Makkar, S., Gobinath, R., & Gayathiri, E. (2022). IoT applications in landslide prediction and abatement—Trends, opportunities, and challenges. In Computers in Earth and Environmental Sciences. (pp. 319-325). Elsevier: http://doi.org/10.1016/b978-0-323-89861-4.00010-5

Makkar, S., Singh, A.K., & Mohapatra, S. (2020). Challenges and Opportunities of Internet of Things for Health Care. In A Handbook of Internet of Things in Biomedical and Cyber Physical System. (pp. 301-314). Springer International Publishing: http://doi.org/10.1007/978-3-030-23983-1_12

Makkar, S., Singhal, M., Gulati, N., & Agarwal, S. (2020). Detecting Medical Reviews Using Sentiment Analysis. In Agarwal, S., Makkar, S., & Tan Tran, D. (Eds.) Privacy Vulnerabilities and Data Security Challenges in the IoT. (1st). CRC Press

Makkar, S., Singhal, M., Gulati, N., & Agarwal, S. (2020). Detecting Medical Reviews Using Sentiment Analysis. In Agarwal, S., Makkar, S., & Tan Tran, D. (Eds.) Privacy Vulnerabilities and Data Security Challenges in the IoT. (1st). CRC Press

Makkar, S., Duseja, M., & Agarwal, S. (2020). 1 Applications of Industrial Internet of Things (IIoT). In Agarwal, S., Makkar, S., & Tan Tran, D. (Eds.) Privacy Vulnerabilities and Data Security Challenges in the IoT. CRC Press

Makkar, S., Duseja, M., & Agarwal, S. (2020). 1 Applications of Industrial Internet of Things (IIoT). In Agarwal, S., Makkar, S., & Tan Tran, D. (Eds.) Privacy Vulnerabilities and Data Security Challenges in the IoT. CRC Press

Ahuja, P., & Makkar, S. (2020). The Internet of Things (IoT) and Contactless Payments. In Agarwal, S., Makkar, S., & Tan Tran, D. (Eds.) Privacy Vulnerabilities and Data Security Challenges in the IoT. CRC Press

Ahuja, P., & Makkar, S. (2020). The Internet of Things (IoT) and Contactless Payments. In Agarwal, S., Makkar, S., & Tan Tran, D. (Eds.) Privacy Vulnerabilities and Data Security Challenges in the IoT. CRC Press

Solanki, V.K., Makkar, S., Kumar, R., & Chatterjee, J.M. (2019). Theoretical Analysis of Big Data for Smart Scenarios. In Intelligent Systems Reference Library. (pp. 1-12). Springer International Publishing: http://doi.org/10.1007/978-3-030-04203-5_1

Makkar, S., & Solanki, V.K. (2019). Big Data and Machine Learning Progression with Industry Adoption. In Handbook of IoT and Big Data. CRC Press

Books

Makkar, S. (Ed.). (2023). Handbook of Artificial Intelligence for Smart City Development Management Systems and Technology Challenges. (1st). Taylor & Francis Group.

Makkar, S., Agarwal, S., & Tan Tran, D. (Eds.). (2020). Privacy Vulnerabilities and Data Security Challenges in the IoT. (1st). CRC Press.

Makkar, S., Agarwal, S., & Tan Tran, D. (Eds.). (2020). Privacy Vulnerabilities and Data Security Challenges in the IoT. (1st). CRC Press.

Patents

Makkar, S. (2022). Portable full face mask with eye glass for breathing solution in covid-19.

Makkar, S. (2022). Portable full face mask with eye glass for breathing solution in covid-19.

Makkar, S. (2022). Intelligent & smart mirror infrastructure using iot technique.

Makkar, S. (2022). Intelligent & smart mirror infrastructure using iot technique.

Makkar, S. (2021). Blockchain for 5g-enabled iot for industrial automation.

Makkar, S. (2021). Nutrient deficiency stress detection and prediction in corn fields from aerial images using machine learning.

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