Abhilash Reddy Pabbath Reddy | Computer Science | Best Researcher Award

Posted on by Academic achievements

Mr. Abhilash Reddy Pabbath Reddy | Computer Science | Best Researcher Award

Software Engineer at Axle/National Institute of health, United States

Abhilash Reddy Pabbath Reddy is a seasoned DevSecOps engineer and researcher with extensive experience in artificial intelligence, cybersecurity, and cloud computing. With a passion for leveraging cutting-edge technology to drive innovation, he has contributed significantly to both industry and academia. Currently, he works with the National Institute of Health, where his expertise helps enhance security and efficiency in software systems.

Profile

Google Scholar

Education 🎓

Abhilash earned a Master of Science degree in Electrical Engineering from Texas Tech University, Lubbock, TX, in December 2015. During his academic journey, he received the prestigious TTU Seacat EE Scholarship for his outstanding achievements.

Experience 💼

Abhilash has accumulated over a decade of professional experience, working with renowned clients such as IBM, Mercedes, T-Mobile, and the National Institute of Health. His expertise spans software engineering, DevSecOps, cloud security, and artificial intelligence. In his roles, he has successfully implemented advanced technologies to address complex challenges, ensuring secure and scalable software solutions.

Research Interests 🔬

Abhilash’s research focuses on artificial intelligence, machine learning, cybersecurity, AIOps, MLOps, healthcare, and cloud computing. His innovative work explores AI-driven solutions for cloud security, predictive analytics, and proactive threat detection.

Honors and Awards 🏆

Abhilash was awarded the TTU Seacat EE Scholarship by Texas Tech University in recognition of his academic excellence and contributions to electrical engineering. He is also a proud member of IEEE, staying at the forefront of technological advancements.

Publications 📚

Abhilash has authored several impactful articles and patents that bridge the gap between AI and cybersecurity. Notable works include:

The Role of Artificial Intelligence in Proactive Cyber Threat Detection In Cloud Environments

  • Year: 2021
  • Cited by: 18

Automating Incident Response: AI-Driven Approaches To Cloud Security Incident Management

  • Year: 2020
  • Cited by: 13

Machine Learning Models for Anomaly Detection in Cloud Infrastructure Security

  • Year: 2021
  • Cited by: 12

Securing Multi-Cloud Environments with AI And Machine Learning Techniques

  • Year: 2021
  • Cited by: 11

Navigating the Cloud’s Security Maze: AI and ML as Guides

  • Year: 2023
  • Cited by: 9

The Future Of Cloud Security: AI-Powered Threat Intelligence And Response

  • Year: 2022
  • Cited by: 9

Harnessing the Power of AI and ML Transforming Cybersecurity in the Cloud Era

  • Year: 2022
  • Cited by: 2

Defending the Cloud: How AI and ML Are Revolutionizing Cybersecurity

  • Year: 2019
  • Cited by: 2

Conclusion 🌍

In conclusion, Abhilash Reddy Pabbath Reddy is highly suited for the Research for Best Researcher Award. His extensive research in AI, machine learning, and cybersecurity, combined with his practical experience in cloud security and AIOps, positions him as a valuable contributor to the scientific and engineering communities. His work is impactful, addressing modern challenges in cloud environments and security, making him an excellent candidate for the award.

Yashar Deldjoo – Computer Science – Best Researcher Award

Posted on by Academic achievements

Dr. Yashar Deldjoo - Computer Science - Best Researcher Award

Polytechnic University of Bari - Italy 

Professional Profiles

Early Academic Pursuits

Yashar Deldjoo's academic journey reflects a commitment to excellence and a focus on cutting-edge research in the field of Computer Science and Electrical Engineering.

Master's Degree at Chalmers University of Technology, Sweden

Yashar began his graduate studies at Chalmers University of Technology in Sweden, where he earned a Master's degree in Electrical Engineering. His exceptional academic performance, graduating with the highest rank and a straight A+ GPA, set the stage for his future success.

Ph.D. in Computer Science at Polytechnic University of Milan, Italy

Continuing his pursuit of knowledge, Yashar earned his Ph.D. in Computer Science, specializing in Recommender Systems, from the Polytechnic University of Milan in 2018. His distinction in completing his Ph.D. marked the beginning of his impactful contributions to the field.

Professional Endeavors

Tenure-Track Assistant Professor at Polytechnic University of Bari, Italy

Currently serving as a Tenure-Track Assistant Professor at the Polytechnic University of Bari, Italy, Yashar has found a platform to not only continue his research but also to impart knowledge to the next generation of computer scientists.

Active Participation in the RecSys Community

Yashar is a prominent figure in the Recommender Systems (RecSys) community, actively participating in major conferences such as SIGIR, RecSys, CIKM, and more. His engagement underscores his commitment to staying at the forefront of research and innovation in his field.

Focus on Trust in Recommender Systems

Yashar's research focus centers on integrating elements of trust within recommender systems. Emphasizing adversarial robustness, privacy, explainability, and fairness, he aims to enhance the reliability and ethical considerations of recommendation algorithms.

Exploration of Generative AI and Large Language Models

Yashar's recent research delves into the realm of "Generative AI and Large Language Models (LLMs)." His work aims to understand and mitigate the potential risks and challenges posed by these models in the context of Machine Learning (ML) and Recommender Systems (RS).

Accolades and Recognition

Recognized Among the Top 2% of Research Scientists

In 2022, Yashar's contributions to the research community were acknowledged when he was recognized among the top 2% of research scientists by the Stanford University Ioannidis database and Elsevier. This recognition is a testament to the impact of his work.

Editorial Roles and Contributions to Leading Journals

Yashar serves as an Associate Editor at ACM Computing Surveys, showcasing his expertise and commitment to advancing the field. His guest-editorial roles for leading journals, including the Journal of Information Processing and Management and ACM Transaction on Recommender Systems, underscore his influence in shaping academic discourse.

Impact and Influence

Yashar's influence extends beyond his academic roles. Serving as a PC for major conferences, including the benchmark track at the NeuroIPS conference, and as a senior PC for conferences like SIGIR, CIKM, and the Web Conference, he actively contributes to shaping the academic landscape.

Legacy and Future Contributions On Computer Science

Yashar's legacy is characterized by his impactful contributions to literature reviews, collaborations with renowned institutions and companies, and his involvement in organizing ML competitions. As he continues his journey, his future contributions are anticipated to further push the boundaries of knowledge in Recommender Systems and AI ethics. Yashar Deldjoo's early academic pursuits, professional endeavors, accolades, and influence in the Recommender Systems community collectively showcase a researcher and educator dedicated to advancing the field of Computer Science. His legacy and future contributions hold the promise of continued excellence and innovation.

Notable Publications

A unifying and general account of fairness measurement in recommender systems 2021

Fairness in recommender systems: research landscape and future directions 2021

Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering 2023