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
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
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
Makkar, S., Khan, A., Lal, A., & Manoharan, G. (2022). Predicting air passenger traffic during Covid-19 & its economic impact. INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY, 2418. http://doi.org/10.1063/5.0082285
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
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.