Mr. Shashishekhar Ramagundam | Artificial Intelligence | Excellence in Research Award.

Comcast,United States

Professional Profiles:

👨‍🎓 Bio Summary:

Mr. Shashishekhar Ramagundam is a Senior Software Engineer at Comcast, based in Washington, DC. With a robust background in computer science and extensive experience in artificial intelligence, machine learning, and IT infrastructure, Shashishekhar has significantly contributed to optimizing cable TV and broadband networks. He holds a Master’s degree in Computer Science from Troy University, Montgomery, AL.

🎓 Education:

Mr. Shashishekhar Ramagundam completed his Master’s in Science with a major in Computer Science from Troy University, Montgomery, AL, in May 2014. His academic foundation laid the groundwork for his specialized skills in AI, machine learning, and computer architecture.

🔍 Research Focus:

His primary research areas include artificial intelligence, machine learning, deep learning, computer architecture, and IT infrastructure. His work is particularly focused on enhancing service quality and predicting network performance in broadband and cable TV networks using AI-driven approaches.

🏆 Honors & Awards:

Throughout his career, Shashishekhar has received recognition for his innovative contributions to the field, including securing patents and publishing influential books on IoT security and the role of AI in optimizing network services.

Professional Experience: 💼

Shashishekhar currently serves as a Senior Software Engineer at Comcast, Washington, DC, a position he has held since July 2016. Prior to this, he worked with IQVIA in Cambridge, MA, from December 2014 to June 2016, and with Raas Infotek in Newark, Delaware, from May 2014 to October 2014. His roles have consistently involved developing high-performance solutions in IT and network management.

📚 Top Noted Publications :

Title: Design and Implementation of High-Performance Master/Slave Memory Controller with Microcontroller Bus Architecture

Author: S. Ramagundam, S.R. Das, S. Morton, S.N. Biswas, V. Groza, M.H. Assaf

Cited By: 14

Index: 2014 IEEE International Instrumentation and Measurement Technology

Year of Publish: 2014

Title: Next Gen Linear TV: Content Generation and Enhancement with Artificial Intelligence

Author: S. Ramagundam

Cited By: 9

Index: International Neurourology Journal 25 (4), 22-28

Year of Publish: 2021

Title: AMBA-Based AHB Master/Slave Memory Controller Design

Author: S. Ramagundam, S.R. Das, S.N. Biswas, S. Morton, M.H. Assaf, I. Ozkarahan

Cited By: 8

Index: Transformative Science and Engineering, Business and Social Innovation, 23

Year of Publish: 2013

Title: Improving Service Quality with Artificial Intelligence in Broadband Networks

Author: S. Ramagundam

Cited By: 6

Index: International Neurourology Journal 27 (4), 1406-1414

Year of Publish: 2023

Title: AI-Driven Real-Time Scheduling for Linear TV Broadcasting: A Data-Driven Approach

Author: S. Ramagundam

Cited By: 6

Index: International Neurourology Journal 26 (3), 20-25

Year of Publish: 2022

Author Metrics 📊 :

Shashishekhar’s work is well-recognized in the academic community, reflected in his citations and contributions on platforms like Google Scholar and ResearchGate. His research impacts are documented in various peer-reviewed journals and conference proceedings.

📅 Research Timeline:

2014: Published conference paper on memory controller design.

2014: Graduated with a Master’s in Computer Science from Troy University.

2014-2016: Worked at Raas Infotek and IQVIA, focusing on AI and IT infrastructure.

2016-Present: Senior Software Engineer at Comcast, Washington, DC.

2021: Published books on IoT security and AI in network optimization.

2022: Awarded a patent for cyber-attack detection in medical IoT.