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

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

Comcast,United States

Professional Profiles:

ORCID 

GOOGLE SCHOLAR 

👨‍🎓 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.

Dr Shashi Kant Tiwari | Artificial Intelligence | Best Researcher Award |

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Dr. Shashi Kant Tiwari | Artificial Intelligence | Best Researcher Award.

Sri Balaji University,India

Professional Profiles:

SCOPUS

GOOGLE SCHOLAR 

ORCID

👨‍🎓 Bio Summary:

Dr. Shashi Kant Tiwari is a Senior Assistant Professor at Balaji Institute of Modern Management, Sri Balaji University, Pune, India. He holds a Ph.D. from the Indian Institute of Technology (Indian School of Mines) Dhanbad, with a research focus on acoustics, environmental noise, artificial intelligence, machine learning, composite materials, and psychoacoustics.

🎓 Education:

Dr. Shashi Kant Tiwari completed his Ph.D. in Acoustics, Environmental Noise, Artificial Intelligence, Machine Learning, Composite Materials, and Psychoacoustics from the Indian Institute of Technology (Indian School of Mines) Dhanbad, India. He also holds an M.Tech. from VIT University, Vellore, and a B.Tech from Lingayas University.

🔍 Research Focus:

Dr. Tiwari’s research focuses on noise assessment, occupational health and safety, machine learning, deep learning, acoustics, vibration, artificial intelligence, and statistical analysis. His work includes projects on environmental noise annoyance prediction, development of e-learning systems, and intelligent IoT-based ambient noise pollution monitoring.

🏆 Honors & Awards:

Dr. Tiwari has been recognized as a GATE Qualified candidate and has received the MHRD Scholarship during his Ph.D. program. He is also a reviewer for journals such as Noise Control Engineering Journal and Environmental Science and Pollution Research.

Professional Experience: 💼

With a wealth of experience in academia and research, Dr. Tiwari currently serves as a Senior Assistant Professor at Balaji Institute of Modern Management, Sri Balaji University, Pune, India. Previously, he held research and teaching assistantships at IIT (ISM) Dhanbad.

📚 Top Noted Publications :

Title: An auto-encoder based LSTM model for prediction of ambient noise levels
Cited By: 15
Year: 2022

Title: Dynamic characteristics of a honeycomb sandwich beam made with jute/epoxy composite skin
Cited By: 14
Year: 2020

Title: 5G NR Voice Call EPS Fallback Enhancements
Cited By: 12
Year: 2021

Title: Comparison of SVM and ARIMA model in time-series forecasting of ambient noise levels
Cited By: 9
Year: 2022

Title: Accuracy of short-term noise monitoring strategy in comparison to long-term noise monitoring strategy
Cited By: 7
Year: 2021

Author Metrics 📊 : 

Dr. Tiwari’s research has garnered attention, with several of his papers published in SCI/Scopus indexed journals and cited by his peers. His expertise in noise prediction, deep learning techniques, and environmental acoustics has contributed to the advancement of knowledge in these areas.

📅 Research Timeline:

Dr. Tiwari’s journey in research began during his Ph.D. program at IIT (ISM) Dhanbad, where he investigated long-term and short-term noise monitoring strategies for noise impact assessment in urban and mining environments. Since then, he has continued to explore novel approaches to noise prediction, environmental monitoring, and machine learning applications in acoustics.

Dr Josephin Shermila P | Artificial Intelligence | Best Researcher Award |

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Dr. Josephin Shermila P, Artificial Intelligence, Best Researcher Award.

RMK College of Engineering and Technology, India

Professional Profiles:

SCOPUS

GOOGLE SCHOLAR

👨‍🎓 Bio Summary:

Dr. Josephin Shermila P is an Associate Professor committed to fostering academic excellence and innovation within a renowned institution. With a Ph.D. in Image Protein Prediction from Anna University, Chennai, her educational journey encompasses a strong foundation in Electronics and Communication Engineering

🎓 Education:

Dr. Josephin Shermila P has a diverse educational background, culminating in her expertise in Image Protein Prediction. She obtained her Ph.D. in Image Protein Prediction from Anna University, Chennai, in July 2021, showcasing her commitment to advancing knowledge in this specialized field. Prior to her doctoral studies, Dr. Shermila completed her Bachelor’s degree in Electronics and Communication Engineering from Noorul Islam College of Engineering, Kumaracoil, in April 2005, where she achieved a remarkable 75.2% with Distinction. This solid foundation in engineering laid the groundwork for her future academic pursuits. Dr. Shermila furthered her education by completing a Master’s degree in Computer and Communication Engineering from National Engineering College, Kovilpatti, in June 2007, further enhancing her skills and knowledge in the field. Her educational journey has been marked by a consistent pursuit of excellence, reflecting her dedication to academic and professional growth.

🔍 Research Focus:

Her research focus revolves around Image Protein Prediction, specializing in using linear regression and deep learning techniques to estimate protein from images of health drink powders. This dedication to cutting-edge research has led to impactful contributions in her field.

👩‍💼 Professional Journey:

In her professional journey, Dr. Shermila has accrued 14 years and 24 days of experience in the engineering college sector. Currently serving as an Associate Professor at RMK College of Engineering and Technology since August 11, 2021, she has held significant roles in institutions such as Arunachala College of Engineering for Women, Sathyam College of Engineering, and CAPE Institute of Technology.

🏆 Honors & Awards:

Throughout her career, Dr. Shermila has been recognized for her excellence, earning several honors and awards for her contributions to academia and research. Her commitment to advancing student learning and institutional goals has garnered acclaim within academia and the industry.

Professional Experience: 💼

Dr. Josephin Shermila P has accumulated a wealth of experience in the engineering college sector, totaling 14 years and 24 days. Her professional journey began as a Lecturer at the CAPE Institute of Technology in January 2007, where she taught and mentored students for a brief period. Subsequently, she transitioned to a role as an Assistant Professor at Sathyam College of Engineering in November 2010, where she continued to impart knowledge and contribute to the academic environment until July 2011.

📚 Top Noted Publications :

Smart office automation via faster R-CNN based face recognition and internet of things
Authors: G Rajeshkumar, M Braveen, R Venkatesh, PJ Shermila, BG Prabu, …
Published in Measurement: Sensors 27, 100719 in 2023.

Estimation of protein from the images of health drink powders
Authors: PJ Shermila, A Milton
Published in Journal of Food Science and Technology 57 (5), 1887-1895 in 2020.

Self-diagnosis platform via IOT-based privacy preserving medical data
Authors: G Muneeswari, SS Varun, R Hegde, SS Priya, PJ Shermila, A Prasanth
Published in Measurement: Sensors 25, 100636 in 2023.

Automatic Segmentation of Lung Tumor from X-ray Images using Advance Novel Semantic Approach
Authors: V Rani K, A Jerome S, J Shermila P, LK Shoba, ME Prince
Published in IETE Journal of Research in 2021.

DEEPFIC: food item classification with calorie calculation using dragonfly deep learning network
Authors: PJ Shermila, A Ahilan, M Shunmugathammal, J Marimuthu
Published in Signal, Image and Video Processing, 1-9 in 2023.

Accident detection using Automotive Smart Black-Box based Monitoring system
Authors: BV P. Josephinshermila, S. Sharon priya, K. Malarvizhi, Ramakrishna hegde …
Published in Measurement: Sensors 27 in 2023.

Author Metrics 📊 : 

Author metrics underscore the influence of Dr. Shermila’s work, with her publications receiving substantial citations and recognition within the academic community

📅 Research Timeline:

Her research timeline showcases her progression and contributions, reflecting her growth and expertise over the years.