Mr. Shishir Tewari | AI/ML | Corporate Leadership Excellence Award-7820

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Mr. Shishir Tewari | AI/ML | Corporate Leadership Excellence Award

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

Shishir Tewari is a distinguished technology leader and Senior Engineering Manager, renowned for his pioneering work in data engineering, AI/ML, and business intelligence systems. With a professional journey spanning nearly two decades, he has made significant contributions to building robust data platforms, streamlining enterprise analytics, and mentoring high-performing engineering teams across some of the world’s top tech firms including Google, Amazon, and Procore Technologies. His forward-thinking approach to intelligent data infrastructure, combined with his proficiency in cloud ecosystems and scalable processing frameworks, has set new benchmarks in operational excellence and digital innovation. Tewari stands out as a forward-thinking engineer and strategic visionary who continuously transforms data into actionable intelligence.

✅🧑‍💼 Professional Profile Verified

Google Scholar

🎓 Education

Tewari’s strong academic foundation has enabled his seamless navigation through complex data and technology landscapes. He earned his Bachelor of Technology degree in Information Technology from U.P.T.U., India (2002–2006), graduating with a commendable performance. To further specialize in the burgeoning field of analytics, he pursued a Data Science and Analytics specialization at Rutgers University, New Jersey (2018–2019). This academic combination has empowered him to integrate advanced analytical methodologies with practical problem-solving in enterprise settings, giving him a competitive edge in today’s data-centric economy.

💼 Experience

With more than 19 years of hands-on experience, Shishir Tewari has held progressively senior roles at globally respected organizations. At Procore Technologies, where he currently serves as Senior Manager, Data Engineering, he led the development of a next-gen Master Data Management and Marketing Analytics platform enriched by AI/ML, enhancing organizational data consistency and insight. Previously at Google, he managed a global team and optimized financial data processing pipelines across Google Finance, handling 100+ petabytes on GCP. His role at Amazon involved constructing large-scale advertising data infrastructure in AWS, directly supporting over $100M in revenue. During his earlier years at Morgan Stanley, JP Morgan Chase, Panasonic, and Tata Consultancy Services, Tewari built scalable ETL pipelines, optimized legacy systems, and created advanced business intelligence frameworks. Each of these roles reflects his unwavering commitment to excellence in data operations, architecture, and leadership.

🔬 Research Interest

Tewari’s research interests lie at the intersection of data engineering, artificial intelligence, and automation. He is particularly passionate about leveraging machine learning to optimize data quality, processing, and decision-making at enterprise scale. His work focuses on improving the performance of large-scale distributed systems, integrating data governance frameworks, and implementing real-time analytics. He is equally invested in enhancing business intelligence solutions through AI-driven innovation, and his hands-on experience with platforms like AWS, GCP, and Databricks has empowered him to experiment with scalable applications of AI in modern enterprises.

🏆 Awards

Shishir Tewari’s groundbreaking work has been recognized globally through several prestigious awards. He received the 2025 Global Leader Award for Excellence in AI/ML-Driven Data Engineering, honoring his transformative contributions to intelligent automation. In 2024, he was the recipient of the ISTRA International Outstanding Technical/Digital Innovation Award for his role in driving technical innovation in AI and Data Engineering. He also earned the 2025 TITAN Business Awards – Gold Winner title in the Artificial Intelligence category for his strategic leadership and engineering excellence. Further recognition came with his inclusion in the Marquis Who’s Who Biographical Listee, highlighting his impact on global technological advancement.

📚 Publications

Tewari has made valuable scholarly contributions to the AI and data engineering community through multiple publications that reflect his expertise and thought leadership. His book, “AI-Driven Enterprise: Scaling Business Success” (2024), offers insightful frameworks for integrating AI into business operations and is available on Amazon. He has authored/co-authored 7 peer-reviewed articles, collectively cited 30 times, underscoring his influence in the academic domain. Selected key publications include:

  • “AI-Driven Master Data Governance for Enterprise Systems” 📘 (2023, Journal of Data Science), cited by 6
  • “Optimizing Cloud Data Warehouses Using ML Models” ☁️ (2023, Big Data Research), cited by 5
  • “Real-Time Analytics in Distributed Finance Systems” 💹 (2022, Financial Computing Review), cited by 4
  • “AI-Powered Marketing Insights Platform: A Scalable Framework” 📊 (2021, International Journal of AI and Data), cited by 6
  • “Data Lakehouse Implementation and Business Impact” 🌊 (2021, Information Systems Journal), cited by 3
  • “Ethical AI in Data Engineering” 🧠 (2020, Journal of Ethics in Technology), cited by 4
  • “Performance Engineering for ETL Pipelines Using Spark” 🔥 (2019, Data Engineering Review), cited by 2

These publications reflect his practical insight into enterprise data systems and his commitment to bridging theoretical research with real-world engineering applications.

✅ Conclusion

In conclusion, Shishir Tewari exemplifies excellence in data engineering, AI/ML innovation, and digital transformation leadership. His visionary mindset, technical expertise, and consistent delivery of impactful solutions have earned him a well-respected place among global leaders in technology. Whether architecting petabyte-scale infrastructures, mentoring next-generation engineers, or judging international innovation awards, Tewari’s work consistently elevates the standards of modern enterprise engineering. Through his continued research, leadership, and commitment to excellence, he remains a driving force in shaping the future of AI-powered data ecosystems.

Aitor Brazaola-Vicario | Cybersecurity | Best Researcher Award

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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

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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.