Mr. Shishir Tewari | Computer Science | Corporate Leadership Excellence Award

Posted on by Academic achievements

Mr. Shishir Tewari | Computer Science | Corporate Leadership Excellence Award

Mr. Shishir Tewari | Computer Science – Senior Manager at Procore Technologies, United States

Shishir Tewari is a dynamic and visionary technology leader specializing in Artificial Intelligence, Machine Learning, and advanced data engineering. Known for his strategic innovation in enterprise data systems, Tewari bridges the gap between research excellence and practical corporate execution. With a consistent focus on solving complex problems at the intersection of AI and cloud infrastructure, his leadership and technical acumen have positioned him as a recognized contributor to the field of intelligent systems for enterprise operations. His commitment to ethical, scalable, and compliant data solutions reflects a deep understanding of the critical role data plays in corporate decision-making.

Profile Verified:

Google Scholar

Education:

Shishir Tewari holds advanced academic qualifications in Computer Science and Engineering with a concentration in AI and Big Data Analytics. His formal education has been marked by a focus on computational modeling, distributed systems, and data compliance, which laid the foundation for his extensive research in modern enterprise data architecture. His academic path has been characterized by rigorous training in machine learning models, statistical methods, and algorithm optimization, preparing him for high-impact roles in both research and industry.

Experience:

Professionally, Tewari is affiliated with Procore Technologies, where he operates at the intersection of AI research and enterprise systems architecture. His role involves the design and deployment of large-scale data platforms, machine learning governance frameworks, and cloud-native compliance tools. Prior to this, he has collaborated with global technology leaders and research communities on next-generation data management initiatives. His expertise spans over a decade, during which he has continually driven transformation through the integration of automation, AI, and business intelligence across enterprise infrastructures.

Research Interests:

Tewari’s core research interests lie in AI-powered data governance, cloud-native compliance, metadata management, and real-time anomaly detection. His research explores the confluence of intelligent systems, data sovereignty, and machine learning observability. He is particularly focused on leveraging AI to drive transparency, trust, and accuracy in enterprise data environments. His studies have also contributed to enhancing automation in financial forecasting, cross-cloud interoperability, and anomaly detection using graph-based ML techniques. Tewari’s work remains rooted in solving real-world corporate challenges with scalable, intelligent, and ethical data systems.

Awards:

While Shishir Tewari has not yet been widely decorated with mainstream industry honors, his work has been cited in respected academic and industry publications, and he is increasingly recognized as a rising leader in data-centric AI innovation. His nomination for the Corporate Leadership Excellence Award reflects this growing acknowledgment of his impact in both the academic and enterprise technology space.

Publications 📚:

📘 AI Powered Data Governance – Ensuring Data Quality and Compliance in the Era of Big Data (2025), published in Journal of Artificial Intelligence General Science (JAIGS), is one of his most recent and influential works, cited by 8 articles, emphasizing governance in big data contexts.
📘 AI and Multi-Cloud Compliance: Safeguarding Data Sovereignty (2024), co-authored with Ashitosh Chitnis, appeared in Iconic Research and Engineering Journals (IREJ) and is cited by 7 articles, addressing cross-cloud data compliance.
📘 Scalable Metadata Management in Data Lakes Using Machine Learning (2023), published in IREJ, cited by 6 articles, focuses on enabling automated data structuring at scale.
📘 AI-Powered Financial Forecasting: Enhancing Accuracy with Machine Learning in Enterprise System (2023), featured in the Journal of Emerging Technologies and Innovative Research, is cited by 10 articles, showcasing predictive analytics in financial data.
📘 Detecting Data Drift and Ensuring Observability with Machine Learning Automation (2022), co-authored with Ashitosh Chitnis, published in JETIR, cited by 5 articles, addresses continuous monitoring in ML systems.
📘 Anomaly Detection in Large Scale Data Platforms with Machine Learning (2022), published in International Journal of Novel Research and Development, is cited by 4 articles and investigates fault detection in enterprise platforms.
📘 Leveraging Graph Based Machine Learning to Analyze Complex Enterprise Data Relationships (2021), co-authored with Chitnis in IJNRD, cited by 5 articles, explores complex data relationships using graph ML.

Conclusion:

Shishir Tewari exemplifies the blend of technical depth, visionary thinking, and leadership necessary for the Corporate Leadership Excellence Award. His work in AI-driven data governance and scalable analytics systems has delivered meaningful innovation to both academic and industry sectors. Through his publications, professional engagements, and focus on compliant, intelligent data solutions, he is shaping the future of enterprise technology. Tewari’s continuous pursuit of excellence in intelligent systems makes him a deserving candidate for recognition as a corporate technology leader of the next generation.

 

 

Aitor Brazaola-Vicario | Cybersecurity | Best Researcher Award

Posted on by Academic achievements

Mr. Aitor Brazaola-Vicario | Cybersecurity | Best Researcher Award

Cybersecurity Researcher | Tecnalia Research & Innovation | Spain

Aitor Brazaola-Vicario is a computer engineer with a focus on cybersecurity and Quantum Communications. Graduating from the University of Deusto in 2016, he has developed a robust career spanning software development and cybersecurity. His professional journey includes significant roles at CERN and ITP Aero, where he contributed to service management and network security. Currently, he is pursuing a PhD in Communications Engineering at the University of the Basque Country, researching innovative applications of Quantum Communications.

Profile

ORCID

Strengths for the Award

  1. Diverse and Relevant Experience:
    • The candidate has a strong background in both software development and cybersecurity, with significant roles at CERN and ITP Aero. This diverse experience highlights their versatility and depth of knowledge in critical areas of technology and security.
  2. Specialized Research Focus:
    • Their current research in Quantum Communications at Tecnalia Research & Innovation shows a commitment to exploring cutting-edge technologies. The focus on integrating quantum technologies into critical societal infrastructure and enhancing security reflects a forward-thinking approach to solving modern challenges.
  3. Notable Achievements:
    • The candidate has received the “Premio al mejor artículo de Transferencia” at the Jornadas Nacionales de Investigación en Seguridad, indicating recognition for their high-quality research and contribution to the field.
  4. Strong Academic and Professional Background:
    • With a Master’s degree and ongoing PhD studies in Computer Engineering and Communications, respectively, the candidate has a solid educational foundation. Their work on influential publications, such as those on IIOT platforms and Quantum Key Distribution, further underscores their research capabilities.
  5. High-impact Publications:
    • Publications in reputable journals like Future Generation Computer Systems and Optics Continuum, along with contributions to conference papers, demonstrate their active engagement and influence in their research area.

Areas for Improvement

  1. Broader Research Impact:
    • While the candidate has notable publications and a significant role in advanced research, increasing the dissemination of their findings through more diverse platforms or collaborations could amplify their impact. Engaging in more interdisciplinary projects might also enhance their visibility in different research communities.
  2. Professional Network Expansion:
    • Building a broader professional network by attending more international conferences or participating in collaborative research projects could provide additional opportunities for recognition and feedback.
  3. Public Engagement:
    • Improving efforts to communicate their research to a non-specialist audience through public talks, popular science articles, or media engagement could enhance the societal impact of their work.

Education

Aitor Brazaola-Vicario holds a Bachelor’s and Master’s degree in Computer Engineering from the University of Deusto. He is currently advancing his academic career as a PhD student at the University of the Basque Country, specializing in Quantum Communications and its integration into critical societal infrastructure.

Experience

Aitor’s professional experience began as a fullstack developer at LIN3S. He later joined CERN as a ServiceNow developer, leading the development of a new service management portal. From 2019 to 2023, he worked at ITP Aero as a cybersecurity engineer, focusing on network security, vulnerability analysis, and information security policies. He is currently a cybersecurity researcher at Fundación Tecnalia Research & Innovation.

Research Interest

Aitor’s research interests are centered on Quantum Communications and their application in enhancing the security of critical infrastructures. His work aims to explore and develop innovative solutions for integrating quantum technologies in high-stakes environments, pushing the boundaries of current cybersecurity practices.

Award

Aitor received the “Premio al mejor artículo de Transferencia” at the Jornadas Nacionales de Investigación en Seguridad (JNIC) in May 2024, recognizing his outstanding contribution to research in cybersecurity.

Publication

“A multi-level IIOT platform for boosting mines digitalisation”
Future Generation Computer Systems
Link to publication
Published: August 2024

“Quantum Key Distribution. A survey on current vulnerability trends and potential implementation risks”
Optics Continuum
Link to publication
Published: July 2024

“Migración de una aplicación industrial a un entorno Quantum Safe: Comunicaciones industriales QKD”
Jornadas Nacionales de Investigación en Ciberseguridad (JNIC)
Link to conference paper
Published: May 2024

Conclusion

The candidate presents a compelling case for the Best Researcher Award due to their extensive experience, specialized focus on Quantum Communications, and notable achievements in cybersecurity and digital technologies. Their research contributions, particularly in advancing quantum technology and securing critical infrastructure, demonstrate a significant commitment to addressing future challenges in the field.

While there are areas for potential growth, such as expanding their professional network and increasing public engagement, their current accomplishments and ongoing research position them as a strong contender for the award. Their innovative approach and proven track record make them a deserving candidate for recognition as a leading researcher in their field.

Abdulrahman Alzahrani | Cybersecurity | Best Researcher Award

Posted on by Academic achievements

Dr. Abdulrahman Alzahrani | Cybersecurity | Best Researcher Award 

Assistant professor | University of Hafr Al Batin | Saudi Arabia

Research for Best Researcher Award: Abdulrahman Alzahrani

Strengths for the Award:

  1. Extensive Expertise and Experience: Abdulrahman Alzahrani holds a PhD in Computer Science and Informatics with a specialization in Mobile Security & Privacy, and he has significant experience in related fields such as Information Security, Steganography, Computer Networks, and Operating Systems. His extensive knowledge and experience are evident in his diverse research projects and publications.
  2. Innovative Research Projects: His projects, such as RanDetector and DDefender, showcase innovative approaches to security issues in mobile and web applications. The RanDetector project, for instance, employs machine learning to detect Android ransomware with high efficacy, while DDefender integrates static and dynamic analysis for threat detection. These projects highlight his ability to address current security challenges with cutting-edge solutions.
  3. Contributions to Web and Mobile Security: Alzahrani has made notable contributions to both web and mobile security. His work on evaluating web application security tools and analyzing vulnerabilities is crucial for improving web security standards. His research on Android applications and ransomware detection is particularly relevant given the increasing threats in mobile security.
  4. Leadership and Service: His roles as Dean and Advisor at the University of Hafr Al Batin, along with his involvement in various committees, demonstrate his leadership and commitment to academic and institutional advancement. His service in educational outreach programs further underscores his dedication to promoting computer science education.
  5. Strong Publication Record: Alzahrani has an impressive list of publications in reputable conferences and journals. His work is frequently cited and covers a wide range of topics within his field, reflecting his active contribution to advancing knowledge in computer science and security.

Areas for Improvement:

  1. Broader Interdisciplinary Engagement: While his focus has been on mobile and web security, expanding his research to include interdisciplinary approaches could enhance his impact. For example, integrating insights from fields like data science, artificial intelligence, or behavioral science could provide more comprehensive solutions to security problems.
  2. Increased Collaboration with Industry: Greater collaboration with industry partners could bridge the gap between theoretical research and practical application. Strengthening ties with industry could lead to more applied research opportunities and potentially more substantial impacts on real-world security challenges.
  3. Diversification of Research Topics: Expanding his research portfolio to include emerging areas such as quantum computing security or privacy in emerging technologies could diversify his contributions and keep pace with rapidly evolving technology trends.
  4. Public Engagement and Outreach: Enhancing efforts to communicate his research findings to a broader audience, including the general public and policymakers, could increase the societal impact of his work. This might involve writing popular science articles, participating in public talks, or engaging in science policy discussions.

Short Biography

Dr. Abdulrahman Alzahrani is an accomplished Assistant Professor and Dean of the College of Computer Science and Engineering at the University of Hafr Al Batin, Saudi Arabia. With a PhD in Computer Science and Informatics from Oakland University, his research expertise spans Mobile Security and Privacy, Information Security, Steganography, Computer Networks, and Operating Systems. His innovative contributions to cybersecurity and his leadership roles in academia highlight his significant impact on the field.

Profile

Google Scholar

Education

Dr. Alzahrani earned his PhD in Computer Science & Informatics from Oakland University in August 2019, where he focused on Mobile Security and Privacy. Prior to that, he completed his Master of Science in Computer Science at the University of Bridgeport in December 2014 and his Bachelor of Science in Computer Science from Al-Baha University in June 2010.

Experience

Dr. Alzahrani’s professional experience includes notable positions at the University of Hafr Al Batin as Assistant Professor and Dean of the College of Computer Science and Engineering. He has also served as a Research Assistant, REU Mentor, and Visiting Professor at Oakland University. His earlier roles include leadership in educational camps and IT administration in various Saudi organizations.

Research Interests

Dr. Alzahrani’s research interests are centered on Mobile Security and Privacy, Information Security, Steganography, and Computer Networks. His work involves developing advanced detection systems for malware, analyzing web application vulnerabilities, and exploring privacy issues in autonomous vehicles.

Awards

Dr. Alzahrani’s work has been recognized with various accolades, including best paper awards at international conferences and funding from prestigious organizations such as the National Science Foundation. His innovative research continues to receive acknowledgment within the academic and professional communities.

Publications

Alshahrani, H., Alshehri, A., Alzahrani, A., & Fu, H. (2021). Web-based Malware Detection for Android OS. The 2021 International Conference on Computational Science and Computational Intelligence, Las Vegas, USA.

Alzahrani, A., Alshehri, A., Alshahrani, H., & Fu, H. (2020). Ransomware in Windows and Android Platforms. arXiv preprint arXiv:2005.05571.

Alzahrani, A., Alshahrani, H., Alshehri, A., & Fu, H. (2019). An Intelligent Behavior-Based Ransomware Detection System for Android Platform. The First IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications, Los Angeles, CA, USA.

Alzahrani, A., Alshehri, A., Alshahrani, H., Alharthi, R., Fu, H., Liu, A., & Zhu, Y. (2018). RanDroid: Structural Similarity Approach for Detecting Ransomware Applications in Android Platform. 2018 IEEE International Conference on Electro Information Technology, Rochester, Michigan.

Alshehri, A., Marcinek, P., Alzahrani, A., Alshahrani, H., & Fu, H. (2019). PUREDroid: Permission Usage and Risk Estimation for Android Application. The 3rd International Conference on Information System and Data Mining (ICISDM 2019), Houston, TX. (Best paper award).

Conclusion:

Abdulrahman Alzahrani is a highly qualified candidate for the Best Researcher Award. His strengths lie in his extensive research experience, innovative contributions to mobile and web security, and active leadership roles in academia. His significant publications and successful projects further reinforce his suitability for the award.

To maximize his potential and impact, focusing on interdisciplinary research, fostering industry collaborations, and expanding his research topics and public engagement could be beneficial. Overall, Alzahrani’s accomplishments and dedication to advancing computer science make him a strong contender for this prestigious recognition.