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 CHANG-CHIEH HSIEH | Finacial Engineering | Best Researcher Award |

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Dr. CHANG-CHIEH HSIEH | Finacial Engineering | Best Researcher Award.

Soochow University, Taipei ,Taiwan

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR

👨‍🎓 Bio Summary:

Dr. Chang-Chieh Hsieh is a distinguished professional in the field of financial engineering, with a robust academic background and extensive industry experience. Currently serving as the Executive Vice President (Quant Head in Front Office) at E. Sun Bank Co., Ltd., he leads innovative quantitative research and development initiatives. Dr. Hsieh has a rich history of teaching and mentoring at Soochow University, coupled with a strong portfolio of published research and contributions to the field.

🎓 Education:

Dr. Hsieh earned his Ph.D. in Economics, majoring in Financial Engineering, from Soochow University in 2014. He also holds a Master’s in Computer Science from National Chengchi University (2021), and both a Master’s and Bachelor’s degree in Financial Engineering and Actuarial Mathematics from Soochow University (2009, 2002 respectively). His academic pursuits have laid a solid foundation in machine learning, deep learning, option pricing, and stochastic processes.

🔍 Research Focus:

Dr. Hsieh’s research primarily revolves around financial engineering, with a particular emphasis on option pricing, trading strategies, high-frequency trading, volatility forecasting, and the application of machine learning and deep learning techniques to financial markets. His work aims to develop sophisticated models and tools to enhance trading efficiency and accuracy.

🏆 Honors & Awards:

Throughout his career, Dr. Hsieh has received recognition for his contributions to financial engineering and quantitative research. He has passed the Financial Risk Manager (FRM) Level 1 exam and completed several high-performance computing and big data training programs, showcasing his commitment to continuous learning and professional development.

Professional Experience: 💼

Dr. Hsieh’s professional journey is marked by significant roles in prominent financial institutions. Since 2017, he has been with E. Sun Bank Co., Ltd., advancing from Assistant Vice President to Executive Vice President. His earlier roles include Manager of the Quantitative Team at Taipei Fubon Commercial Bank, Project Manager at Fubon Futures Corporate Ltd., and various positions in settlement and brokerage departments at Chinatrust Commercial Bank and Bank Sinopac. Additionally, he has served as an adjunct assistant professor at Soochow University, imparting his knowledge in financial engineering and applied economics to graduate students.

 📚 Top Noted Publications :

Empirical Performance of Covered-Call Strategy under Stochastic Volatility in Taiwan

Authors: C.C. Hsieh, C.G. Lin, M. Chen

Citation: Soochow Journal of Economics and Business, 25

Index: 1

Year: 2014

 

Valuation of Callable Range Accrual Linked to CMS Spread under Generalized Swap Market Model

Authors: J.C. He, C.C. Hsieh, Z.W. Huang, S.K. Lin

Citation: International Review of Financial Analysis

Index: 90, 102956

Year: 2023

 

System and Device for Order Splitting Based on Market Prices to Select Optimal Execution Prices for Trading 

Patent: TW Patent M634,528

Year: 2022

Valuation and Real-time Trading System for Derivative Financial Products 

Patent: TW Patent M619,169

Year: 2021

 

Analytic Approximation Formulae for Minimum Rate of Return Guarantees under GARCH

Authors: C.G. Lin, C.C. Hsieh, S. Wang

Citation: Journal of the Chinese Statistical Association

Index: 52 (3), 300-334

Year: 2014

 

Measuring Managerial Efficiency of Chinese and Taiwan Life Insurance Industry

Author: C.C. Hsieh

Author Metrics 📊 : 

Dr. Hsieh’s research contributions are well-regarded in the academic community, with his papers cited by peers in various journals and conferences. His work on pairs trading, stochastic volatility, and GARCH models has been particularly impactful, contributing valuable insights to the field of financial engineering.

📅 Research Timeline:

2004-2005: Started career as a Broker at Yuanta Security.

2005-2008: Settlement Clerk at Bank Sinopac, focusing on treasury department operations.

2008-2011: Settlement Clerk at Chinatrust Commercial Bank, specializing in FX and derivatives settlements.

2014-2015: Project Manager at Fubon Futures Corporate Ltd., leading quantitative trading research.

2015-2017: Manager of the Quantitative Team at Taipei Fubon Commercial Bank, developing derivative pricing models.

2017-2018: Assistant Vice President at E. Sun Bank Co., Ltd., heading quantitative analysis.

2018-2019: Quantitative Developer and Project Manager at Comstar, focusing on interest rate markets.

2019-Present: Progressed through senior roles at E. Sun Bank Co., Ltd., culminating in the position of Executive Vice President.

Mr Antonio Azambuja | Indústria 4.0 | Best Researcher Award |

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Mr. Antonio Azambuja | Indústria 4.0 | Best Researcher Award.

Instituto Tecnologico de Aeronautica,Brazil

Professional Profiles:

SCOPUS

👨‍🎓 Bio Summary:

Antonio João Gonçalves de Azambuja is an accomplished researcher and academic currently pursuing a postdoctoral fellowship in the Department of Informatics at the Federal University of Rio Grande do Sul (UFRGS), Brazil. His research focuses on social engineering in network and system security, particularly automated bots and artificial intelligence actions. Additionally, Antonio is a visiting researcher at Technische Universität Darmstadt, Germany, where he delves into cybersecurity and AI within Industry 4.0. His extensive academic journey includes two doctoral degrees, multiple specializations, and significant contributions to cybersecurity and information management.

🎓 Education:

Antonio is currently pursuing a second Ph.D. in Space Technologies Management at the Instituto Tecnológico de Aeronáutica (ITA), focusing on a cybersecurity maturity model for Industry 4.0, under the guidance of Prof. Dr. Vilson Rosa de Almeida. He holds a Ph.D. in Science Education from UFRGS, where his dissertation developed an information architecture maturity model to mitigate social impacts related to privacy, security, and information loss in Big Data. Antonio earned his Master’s in Knowledge Management and Information Technology from the Universidade Católica de Brasília, specializing in cybersecurity maturity models for federal public administration. He also completed various post-graduate programs in strategic IT management, software engineering, and information security.

🔍 Research Focus:

Antonio’s research primarily revolves around cybersecurity, artificial intelligence, and their applications in Industry 4.0. His interests include developing maturity models for cybersecurity, investigating social engineering attacks using automated bots, and enhancing cyber defense mechanisms. He is also actively involved in exploring the intersection of cybersecurity with Big Data and digital twins in industrial contexts.

🏆 Honors & Awards:

Throughout his academic career, Antonio has been recognized for his contributions to cybersecurity and information management. He has received multiple accolades for his innovative research and has been invited to present his work at numerous national and international conferences. His dedication to advancing cybersecurity practices within the public and industrial sectors has earned him respect and acknowledgment in the academic community.

Professional Experience: 💼

Antonio is currently a postdoctoral researcher at UFRGS, working under the mentorship of Prof. Dr. Lisandro Zambenedetti Granville and Prof. Dr. Jéferson Campos Nobre. He also serves as a visiting researcher at Technische Universität Darmstadt, Germany, under Prof. Dr. Reiner Anderl and Prof. Dr. Benjamin Schleich. Antonio is a researcher at the Naval War College’s Scenario Simulation Laboratory, focusing on cybersecurity and cyber defense, led by Prof. Dr. Max Campos. His professional journey includes roles in academia and collaborative research projects across Brazil and Germany.

 📚 Top Noted Publications :

Digital Twins in Industry 4.0 – Opportunities and Challenges Related to Cyber Security

Authors: de Azambuja, A.J.G., Giese, T., Schützer, K., Schleich, B., Rosa Almeida, V.

Journal: Procedia CIRP

Year: 2024

Pages: 25–30

Citations: 1

 

Artificial Intelligence-Based Cyber Security in the Context of Industry 4.0—A Survey

Authors: de Azambuja, A.J.G., Plesker, C., Schützer, K., Schleich, B., Almeida, V.R.

Journal: Electronics (Switzerland)

Year: 2023

Volume and Issue: 12(8)

Article Number: 1920

Citations: 29

 

Analysis of Cyber Security Features in Industry 4.0 Maturity Models

Authors: de Azambuja, A.J.G., Kern, A., Anderl, R.

Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Year: 2022

Volume: 13106 LNCS

Pages: 91–106

Citations: 0

Author Metrics 📊 : 

Antonio’s contributions to the field of cybersecurity are well-documented in various high-impact publications. His work is frequently cited, reflecting the significance and influence of his research. He has co-authored multiple articles with prominent researchers, contributing valuable insights into cybersecurity and information management.

📅 Research Timeline:

Antonio’s research timeline demonstrates a progressive and focused approach to cybersecurity and information management. Beginning with his Master’s research on cybersecurity maturity models, he advanced to developing comprehensive frameworks for Big Data security during his first Ph.D. His current postdoctoral work and second Ph.D. continue to build on these foundations, exploring advanced cybersecurity solutions for Industry 4.0.

Mr Yupeng Niu | Bioinformatics | Best Researcher Award |

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Mr Yupeng Niu | Bioinformatics | Best Researcher Award.

Sichuan Agricultural University,China

Professional Profiles:

SCOPUS

ORCID

👨‍🎓 Bio Summary:

Mr. Yupeng Niu is a dedicated student at Sichuan Agricultural University pursuing a Bachelor’s degree in Computer Science and Technology. With a remarkable Cumulative GPA of 91.70/100, he stands out as the 15th among 202 students in his class. His academic journey has been adorned with numerous accolades, including national and provincial awards for his outstanding performance in competitions such as the “Innovation Cup” National College Students’ Employment Competence Competition and the IEEE UV Innovation Solution Competition.

🎓 Education:

From September 2021 to June 2025, Mr. Niu is pursuing his Bachelor’s degree in Computer Science and Technology at Sichuan Agricultural University, as part of the prestigious 211 Project and Double First-Class Initiative. He has demonstrated academic excellence with a cumulative GPA of 91.70/100, securing the 15th position out of 202 students. His coursework includes fundamental subjects such as Python Programming, Linear Algebra, and Circuit Theory, among others.

🔍 Research Focus:

Mr. Niu’s research interests encompass a diverse array of topics within the realm of computer science and technology. He has demonstrated proficiency in AI applications, particularly in the fields of image recognition, predictive modeling, and natural language processing. His recent projects have focused on areas such as detection algorithms for agricultural applications, predictive modeling for vaccine distribution, and peptide screening for biomedical purposes.

🏆 Honors & Awards:

Throughout his academic journey, Mr. Niu has been consistently recognized for his outstanding achievements. He has received prestigious honors including a National Special Prize in the “Innovation Cup” National College Students’ Employment Competence Competition, First Prize in the IEEE UV Innovation Solution Competition, and Second Prize in the China Robot Competition and TechChallenge. His contributions have also been acknowledged with provincial awards and recognition in various extracurricular competitions.

Professional Experience: 💼

Mr. Niu’s professional experience encompasses diverse roles, including his tenure as an Algorithm Intern at Baidu, where he was entrusted with responsibilities such as preprocessing datasets and training models using Baidu PaddlePaddle Easy DL. He was later appointed as a Baidu PaddlePaddle Developer Technical Expert, contributing significantly to the development of online courses and serving as a leader within the Baidu PaddlePaddle Pioneer Group

📚 Top Noted Publications :

Title: Efficient screening of pharmacological broad-spectrum anti-cancer peptides utilizing advanced bidirectional Encoder representation from Transformers strategy

Authors: Niu, Y., Li, Z., Chen, Z., … Wei, J., Mu, J.

Journal: Heliyon

Volume and Issue: 10(9)

Pages: e30373

Year: 2024

 

Title: YOLO-plum: A high precision and real-time improved algorithm for plum recognition

Authors: Niu, Y., Lu, M., Liang, X., Wu, Q., Mu, J.

Journal: PLoS ONE

Volume and Issue: 18(7 July)

Pages: e0287778

Year: 2023

Citations: 3

 

Title: Application of Deep Learning in Image Recognition of Citrus Pests

Authors: Jia, X., Jiang, X., Li, Z., … Wang, Y., Niu, Y.

Journal: Agriculture (Switzerland)

Volume and Issue: 13(5)

Pages: 1023

Year: 2023

Citations: 4

 

Title: Vaccine Prediction and Distribution Model under the New Situation in China Based on Informer

Authors: Niu, Y., Xu, J., Tan, J.

Conference: 6th IEEE International Conference on Universal Village, UV 2022

Year: 2022

 

Author Metrics 📊 : 

As a prolific researcher, Mr. Niu has demonstrated impressive author metrics, with publications in reputable journals and conferences. His works have garnered attention within the academic community, as reflected in citation counts and impact factors. His contributions have contributed to advancing knowledge and fostering innovation in his areas of expertise.

📅 Research Timeline:

Mr. Niu’s research journey spans multiple projects and initiatives, each marked by significant achievements and milestones. From his early endeavors in agricultural detection algorithms to his recent focus on biomedical applications of AI, he has continuously pushed the boundaries of knowledge and innovation. His timeline reflects a trajectory of growth and impact, with each project contributing to his development as a researcher and a leader in his field.