Giridhar Bojja
Visiting Assistant Prof(Temp)
About
Giridhar Reddy, Ph.D., a distinguished professional in management information systems - analytics and an M.S. in analytics, brings a wealth of experience to the world of data science. With a solid foundation as a data scientist in e-commerce FAANG giants, as well as in the pharmacy and healthcare sectors, he has garnered cross-industry insights. His journey reflects a seamless blend of academia and industry, driving advancements at the convergence of management and analytics.
Classes Taught
ISOM 3323 - Business Analytics
ISOM 4303 - Programming for Analytics
MSBA 5303 - Programming for Analytics
Research, Published Work, and Scholarly Activities
Research Interest
Giridhar Reddy's research interests lie at the intersection of information systems and management science. When seen with a composite technology-enabled organizational excellence lenses, his research contributes to address the issues of technological resources optimization and effective business leadership appraisal for best firm outcomes. Apart from that, he is particularly interested in building IT artifacts involving AI, machine learning, and blockchain using design science approach.
Published Work
● Bojja, G. R., Liu, J., Shan, R., & Wang, Y. (2023). CEO’s Communication Styles and their Effect on Organizational Performance. AMCIS 2022 Proceedings.
● Bojja, G. R., Liu, J., & Ambati, L. S. (2021). Health Information systems capabilities and Hospital performance–An SEM analysis. AMCIS 2021 Proceedings.
● Bojja, G. R., Ofori, M., Liu, J., & Ambati, L. S. (2020). Early Public Outlook on the Coronavirus Disease (COVID-19): A Social Media Study. AMCIS 2020 Proceedings.
● Bojja, G. R., & Liu, J. (2020, January). Impact of IT investment on hospital performance: a longitudinal data analysis. In Proceedings of the 53rd Hawaii international conference on system sciences (HICSS).
● El-Gayar, O., Ambati, LS., Bojja, GR. (2022). Social Media for Exploring Adverse Drug Events Associated with Multiple Sclerosis. AMCIS 2022 Proceedings.
● Vyas, P., Bojja, G. R., Ambati, L. S., Liu, J., & Ofori, M. (2021). Prediction of Patient Willingness to Recommend Hospital: A Machine Learning-Based Exploratory Study. AMCIS 2021 Proceedings.
● Rajesh, K.J , Sujoy,B , Debbani K , Bojja, G.R. , Subhas, B. (2023). An appropriate and cost-effective hospital recommender system for a patient of rural area using deep reinforcement learning. Intelligent Systems with Applications.
● Al-Hajja, QA., Bojja, G. R. (2022). Boost-Defense for Resilient IoT Networks: A Headto-Toe Approach. Expert Systems (Wiley).
● Senthilkumar, S., Brindha, K., Kryvinska, N., Bhattacharya, S., & Bojja, G. R. (2021). SCB-HC-ECC–Based Privacy Safeguard Protocol for Secure Cloud Storage of Smart Card– Based Health Care System. Frontiers in Public Health, 9.
● Singh, P. D., Kaur, R., Dhiman, G., & Bojja, G. R. (2021). BOSS: A new QoS aware blockchain assisted framework for secure and smart healthcare as a service. Expert Systems, e12838.
● Rehman, Z. U., Zia, M. S., Bojja, G. R., Yaqub, M., Jinchao, F., & Arshid, K. (2020). Texture based localization of a brain tumor from MR-images by using a machine learning approach. Medical Hypotheses, 141, 109705.
● Mehmood, M., Javed, T., Nebhen, J., Abbas, S., Abid, R., Bojja, G. R., & Rizwan, M. (2022). A hybrid approach for network intrusion detection. CMC-Comput. Mater. Contin, 70, 91-107.
● Kagita, M. K., Bojja, G. R., & Kaosar, M. (2021). A lossless compression technique for Huffman-based differential encoding in IoT for smart agriculture. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 29(Supp. 02), 317-332.
● Kagita, M. K., Bojja, G. R., & Kaosar, M. (2021). A framework for intelligent IoT firmware compliance testing. The Internet of Things and Cyber-Physical Systems, 1, 1-7.
● Menaga, D., Ambati, L. S., & Bojja, G. R. Optimal trained long short-term memory for opinion mining: A hybrid semantic knowledgebase approach. Intelligent Decision Technologies, (Preprint), 1-14.
● Ambati, L. S., Bojja, G. R., Gorugantu, L. M., & Vyas, P. (2021). Impact of Healthcare Information Technology (HIT) on Chronic Disease Conditions.
● Vyas, P., Ambati, L. S., Bojja, G. R., & Vyas, G. (2021). Utilizing Timely and Preventive Care Measures to Predict Patient’s Response for Hospital Recommendation.
Office Hours
11 a.m.-noon, and 3-5 p.m., Monday and Wednesday
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