Identifying Sensitive Data Items within Hadoop. - Ashwin Kumar T. K; Hong Liu 022; Johnson P. Thomas; Goutam Mylavarapu (HPCC/CSS/ICESS, 2015)

Real-Time Hybrid Intrusion Detection System Using Apache Storm. - Goutam Mylavarapu; Johnson P. Thomas; Ashwin Kumar T. K (HPCC/CSS/ICESS, 2015)

A multi-task machine learning approach for comorbid patient prioritization. - Goutam Mylavarapu; Johnson P. Thomas (IEEE BigData, 2017)

Biologically Inspired Augmented Memory Recall Model for Pattern Recognition. - Kannan Ashwin Viswanathan; Goutam Mylavarapu; Johnson P. Thomas (ICCC, 2018)

Assessing Context-Aware Data Consistency. - Goutam Mylavarapu; Kannan Ashwin Viswanathan; Johnson P. Thomas (AICCSA, 2019)

A Study of Prefrontal Cortex Task Switching Using Spiking Neural Networks. - Kannan Ashwin Viswanathan; Goutam Mylavarapu; Kun Chen; Johnson P. Thomas (ICACI, 2020)

Unsupervised Spiking Neural Network Model of Prefrontal Cortex to study Task Switching with Synaptic deficiency. - Kannan Ashwin Viswanathan; Goutam Mylavarapu; Johnson P. Thomas (CoRR, 2023)

Context-aware automated quality assessment of textual data. - Goutam Mylavarapu; Kannan Ashwin Viswanathan; Johnson P. Thomas (Int. J. Bus. Intell. Data Min., 2023)

Developing Incident Response-Focused Cybersecurity Undergraduate Curricul. - Junghwan Rhee; Myungah Park; Fei Zuo; Shuai Zhang; Gang Qian; Goutam Mylavarapu; Hong Sung; Thomas Turner (J. Comput. Sci. Coll., 2023)

A Machine Learning Approach to Identify Significant Factors Influencing the Stock Market During Earnings Season. - Goutam Mylavarapu; Ganesh Mani Kanta Chunduru (ICECET, 2024)

An Evaluation on the Impact of Large Language Models on Computer Science Curricula. - Junghwan Rhee; Aakankshya Shrestha; Gang Qian; Fei Zuo; Jicheng Fu; Myungah Park; Xianshan Qu; Goutam Mylavarapu; Hong Sung (J. Comput. Sci. Coll., 2024)