Member
| Chapter: | ABCD-Index Machine Learning and Artificial Intelligence Chapter | |
| Region: | Missouri, UNITED STATES MINOR OUTLYING ISLANDS | |
| Designation: | Member | |
| Links: |
| Name: | Venkata Gorantla |
| Designation: | Scholar |
| Department: | Computer Science - College of Computing |
| Research Area: | AI/ML, Health Informatics, Cyber Security, Cloud Computing, Data Engineering, Data Analysis |
| Organization: | Georgia Institute of Technology |
| Contact: | Contact Reviewer |
| Qualification: | Masters |
| About: | Ashok is a distinguished expert in the fields of low-code/no-code platforms, artificial intelligence and machine learning (AI/ML), and business analytics. His career is marked by a strong record of leading technical and business transformations, excelling in solution architecture, and steering Centers of Excellence for notable organizations. Currently serving as Associate Director at Verizon, Ashok is at the forefront of developing and applying innovative AI/ML algorithms, predictive and adaptive analytics. Ashok's background includes pivotal roles in the healthcare industry, where he has been instrumental in designing and executing major projects focused on customer service, Medicare management, and care management systems. With a Master of Science in Computer Science from Georgia Tech, his academic prowess complements his vast professional achievements. As a researcher, Ashok's interests span a diverse range of applications of AI/ML, covering healthcare, cybersecurity, cloud computing, and telecommunications, showcasing his versatile and profound expertise in these areas. |
| Status: |
| Author: | G. Ramesh, Venkata Ashok K Gorantla, Venkataramaiah Gude |
| Title: | A hybrid methodology with learning based approach for protecting systems from DDoS attacks |
| Publication Year: ISSN: Volume: Issue: |
2023 2169-0065 26,2023 5 |
| Indexing: | SCOPUS, ESCI, SCI-E, ABCD-Index, |
| Visit Paper: | Click here |
| More Details | Click here |
| Author: | Venkata Ashok K Gorantla; Shiva Kumar Sriramulugari; Amit Hasmukhbhai Mewada; J. Logeshwaran |
| Title: | An intelligent optimization framework to predict the vulnerable range of tumor cells using Internet of things |
| Publication Year: ISSN: Volume: Issue: |
2023 979-8-3503-8197-9 |
| Indexing: | SCI-E, ABCD-Index, |
| Visit Paper: | Click here |
| More Details | Click here |