Natural and Applied Sciences
Ritu Shandilya
Associate Professor of Computer and Data Science
Natural and Applied Sciences
Ritu Shandilya
Associate Professor of Computer and Data Science
Education
- PhD, Iowa State University
- Master of Technology, Shobhit University
- Master in Computer Application, U.P Technical University
- Bachelors in Science, Kurukshetra University
About
Dr. Ritu Shandilya joined Mount Mercy University in 2023 as the new Associate Professor of Computer and Data Science.
In addition to instructing at Mount Mercy, Dr. Shandilya is a technical advisor at eLegalls, LLC in Ames, Iowa, where she is responsible for advising and conducting research about machine learning. Dr. Shandilya is also a research co-founder of eFeed-Hungers.com, maintaining the strength of the system and co-authoring three research papers in the process. Her research for eFeed-Hungers has even led her to be featured on global news.
She also worked as a teaching assistant at Iowa State University where she received a Teaching Excellence Award. There, she instructed graduate classes on artificial intelligence and machine learning as well as teaching undergraduate students Python and MATLAB over the summers. Additionally, she was an independent researcher in Ames and a lecturer for both Shobhit University and Forte Institute of Technology in Meerut, India.
Dr. Shandilya served in many different committees and roles, such as a reviewer for Sustainable Computing: Informatics and Systems for Elsevier, a review editor for Frontiers, a program committee member at CBMS 2023 Main track, and as a reviewer for the International Journal of Spatio–Temporal Data Science (IJSTDS). She has also worked on a number of editorials and publications over the length of her career. Her biggest interests in her area of expertise are machine learning, recommender systems, applied machine learning in healthcare and the legal domain, big data, search engines, crawlers, data mining, and information assurance.
In her free time, Dr. Shandilya adores spending time with her two beautiful daughters and her proud husband. As a person in academics, Dr. Shandilya believes in continuous learning and is deeply convinced that hard work, supported by regularity, is the key to success.
- Co-chair for special session: Technology & Law (Legal Informatics)- eLegalls: Moving Towards AI-enabled Improved Civil Justice System, 12thInternational Conference on Soft Computing for Problem Solving (SocPros 2023), Moving Towards Society 5.0, Springer, IIT Roorkee, 11-13th August 2023.
- Guest Editor,Special Issue on Moving Towards AI-enabled Legal Applications and Improved Futuristic Legal Justice System, Technology and Law, Frontiers in Artificial Intelligence, 2023
- Guest Editor,Special Issue on Moving Towards AI-enabled Futuristic Civil Justice System, Laws Journal, MDPI, 2023
- Shandilya, Ritu, Sharma, S. and Wong, J., 2022. MATURE-Health: Health Recommender System for MAndatory FeaTURE Choices. Computers in Biology and Medicine, (Under Submission),
- Shandilya, Ritu, Sharma, S. and Wong, J., 2022. MATURE-Food: Food Recommender System for MAndatory FeaTURE Choices A system for enabling Digital Health. International Journal of Information Management Data Insights, 2(2), p.100090, Elsevier.
- Sharma, S., Shandilya, Ritu, Kim, K., Mandal, D., Tim, U.S. and Wong, J., 2022. eFeed-Hungers 2.0: Pervasive computing, sustainable feeding to purge global hunger. Sustainable Computing: Informatics and Systems, 35, p.100694, Elsevier.
- Sharma, S.K., Shandilya, Ritu and Sharma, S., 2022. Predicting Indian Supreme Court Judgments, Decisions, or Appeals - eLegalls Court Decision Predictor (eLegPredict). Statute Law Review, Oxford University Press, UK.
- Shandilya, Ritu, Sharma, S. and Wong, J., 2020, July. MATURE: Recommender System for MAndatory FeaTURE Choices. In 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS) 29-32. IEEE
- Sharma, S., Shandilya, Ritu, Tim, U.S. and Wong, J., 2018. eFeed-Hungers.com: Mitigating global hunger crisis using next generation technologies. Telematics and Informatics, 35(2), pp.446-456, (Received huge news & media coverage globally)
- Sharma, S., Shandilya, Ritu, Tim, U.S. and Wong, J., 2018. eFeed-Hungers: Reducing food waste and hunger using ICT. Resources, Conservation and Recycling, 131, pp.99-100,
- Sharma, S., Shandilya, Ritu, Patnaik, S. and Mahapatra, A., 2016. Leading NoSQL models for handling Big Data: a brief review. International Journal of Business Information Systems, 22(1), pp.1-25, Inderscience.
- Sugam Sharma, Udoyara S Tim, Shashi Gadia, Ritu Shandilya, and Sateesh Peddoju. Classification and Comparison of Leading NoSQL Big Data Models. International Journal of Intelligent Information and Database Systems, 2014, Inderscience.
- Sugam Sharma, Ritu Shandilya, Srikanta Patnaik, and Ashok Mahapatra. Leading NoSQL Models for Handling Big Data: A Brief Review. International Journal of Business Information Systems, 2014, Inderscience.
- Ritu Shandilya, Sugam Sharma, and Shamimul Qamar. A Domain Specific Indexing Technique for Hidden Web Documents. Communications in Information Science and Management Engineering (CISME) Vol.2 No.2 PP.37-41, 2012, Singapore.
- Sugam Sharma, S B Goyal, Ritu Shandilya, and Durgesh Samadhiya. Towards XML Interoperability. Second International Conference on Computer Science, Engineering and Applications, May25-27, 2012, , New Delhi, India, Springer.