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

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

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🎓 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.

Ms. Vidushi Sharma | Automation | Women Researcher Award

Ms. Vidushi Sharma | Automation | Women Researcher Award

Ms. Vidushi Sharma | Automation – Project Manager at Artech LLC, United States

 

Vidushi Sharma is a distinguished technology leader and researcher with over 15 years of impactful experience across diverse industries including banking, healthcare, retail, and finance. She is known for blending cutting-edge research in Artificial Intelligence (AI), Machine Learning (ML), and Robotic Process Automation (RPA) with enterprise-scale digital transformation. Sharma has consistently demonstrated the ability to drive innovation and implement technology solutions that deliver measurable results. Her unique blend of academic rigor and practical leadership makes her a prominent figure in the global digital landscape.

Profile Verified:

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Education:

Vidushi Sharma holds a Bachelor’s degree in Information Technology, which provided a solid foundation in computer science and systems engineering. She further enhanced her managerial acumen with a Postgraduate Diploma in Human Resource Management, facilitating her ability to lead teams and manage organizational change. In addition to formal academic qualifications, she has earned several professional certifications including Google Cloud, SAFe Agile, Artificial Intelligence and Machine Learning, ITIL v3, and UiPath RPA, making her a highly versatile and forward-thinking researcher and practitioner.

Experience:

With a professional journey spanning over 15 years, Sharma has served in senior leadership and technology roles at top-tier companies such as Citigroup, Vanguard, Tech Mahindra, NCR Corporation, IBM, and Hewitt Associates. In her current role as Program Delivery Manager at Citigroup, she leads global transformation initiatives involving automation, AI, and cloud migration. Her career includes successfully managing large-scale digital projects, transforming business operations through DevOps, and enhancing productivity through RPA and intelligent automation. Her proven expertise in tools like JIRA, Confluence, and ServiceNow supports Agile and scalable project delivery.

Research Interest:

Vidushi Sharma’s research interests center on the integration of Artificial Intelligence and Robotic Process Automation into traditional business workflows, particularly in sectors such as healthcare, fintech, retail, and HR. Her work explores how intelligent systems can optimize operations, improve decision-making, and provide cost-efficient solutions. She also investigates human-machine collaboration, ethical AI deployment, and the scalability of automation across sectors. Her early research in epidemiology and chemistry highlights her interdisciplinary strength and scientific curiosity, enabling her to address complex problems with holistic approaches.

Awards:

Sharma’s innovative contributions have been widely recognized. She received the Outstanding Digital Innovation of the Year 2024 award from Asia International Research, which acknowledges groundbreaking work in automation and AI for enterprise solutions. Other honors include the Standing Ovation Award, Bravo Award, and Achiever’s Award from industry leaders, affirming her excellence in program management, team leadership, and strategic innovation. Her consistent receipt of team and individual awards across her career reflects her dedication to excellence, collaboration, and transformative leadership.

Publications:

  • 🧬 “Epidemiology of Chronic Suppurative Otitis Media and Deafness in a Rural Area” – The Indian Journal of Pediatrics, 1995, Cited by 61
  • 🧪 “Synthesis, Characterization and Biological Activity of a Novel Schiff Base” – Journal of Molecular Structure, 2024, Cited by 9
  • 💻 “Online Education During COVID-19 Pandemic: Challenges and Solutions” – Turkish Online Journal of Qualitative Inquiry, 2021, Cited by 3
  • 🤖 “AI and RPA in Financial Services – Enhancing Fraud Prevention” – International Journal of Multidisciplinary Research in Global Environment (IJMRGE), 2024
  • 🏪 “The Future of Automation in FinTech: Hyper-Automating Operations” – International Journal of Innovative Research in Computer and Technology (IJIRCT), 2025
  • 🏥 “AI-Powered RPA in Healthcare – Improving Patient Outcomes” – IJMRGE, 2024
  • 🛒 “Impact of Automation on Retail Logistics – AI Solutions for Supply Chains” – International Journal of Scientific Research and Engineering Management (IJSREM), 2023

Conclusion:

Vidushi Sharma represents a unique blend of research intelligence, technological mastery, and leadership capability. Her journey from early scientific research to pioneering AI and automation in global enterprises demonstrates her adaptability and vision. Through her work, she exemplifies the transformative power of women in research and innovation. Her commitment to advancing knowledge and solving real-world problems positions her as an ideal recipient of the Women Researcher Award. Sharma’s contributions are not just impactful—they are inspirational, paving the way for future generations of female scientists and tech leaders.

 

 

Danyu Huang | digital economics | Best Paper Award

Dr . Danyu Huang | digital economics | Best Paper Award 

Assistant Professor , Guangdong University of Technology ,China

Danyu Huang is a dedicated academic and professional specializing in tourism management and international cooperation. Currently, she serves as a Foreign Affairs Specialist at Guangdong University of Technology, managing international relations and collaboration. Additionally, she is a lecturer at the School of Economics, where she imparts knowledge across various economics and social survey disciplines.

Profile

Scopus

Strengths for the Award

  1. Extensive Research Portfolio: Huang Danyu has an impressive research background, particularly in the fields of tourism management, ecotourism, and cultural studies. His research has been published in high-impact journals, such as Tourism Management, which is an A+ journal. This indicates a strong commitment to producing high-quality academic work.
  2. International Experience and Collaboration: Danyu’s academic journey includes international exposure through exchange programs and collaborations with prestigious institutions like Purdue University. This global perspective enriches his research and enhances its applicability across diverse contexts.
  3. Recognition and Awards: Danyu has received multiple awards, including the “Excellent Paper Award” at the TOSOK Conference and other notable recognitions in the field of education and research. These accolades underscore the quality and impact of his research contributions.
  4. Project Leadership and Impact: Danyu has led and contributed to several significant projects, including those commissioned by governmental bodies, like the Guangdong Provincial Tourism Satellite Account project. The social impact and practical applications of his work, especially in guiding policy and industry practices, demonstrate his research’s relevance and utility.

Areas of Improvement

  • Focus on More Diverse Research Areas: While Danyu’s work in tourism and ecotourism is robust, expanding his research focus to include more interdisciplinary studies could enhance his portfolio. Integrating insights from fields such as digital economy or sustainability science could provide a more holistic approach to his work.
  • Increase in Lead Authorship: Although Danyu has been involved in many projects and publications, increasing the frequency with which he serves as the lead author could strengthen his candidacy. This would highlight his role as a primary driver of research initiatives.

Publication in Top-Tier Journals: While Danyu has published in high-impact journals, further focusing on getting more papers into top-tier international journals, especially those with broader interdisciplinary audiences, could elevate his research profile.

Education

  • 2008-2015: Combined Master’s and Doctoral Programs in Tourism and Hotel Management, Sun Yat-sen University, Guangzhou
  • 2012-2013: Joint Doctoral Training, Department of Tourism and Hospitality Management, Purdue University, Indiana, USA
  • 2009-2010: Exchange Student, Ecole Business School Angers, France
  • 2004-2008: Bachelor’s Degree in Economics, South China Normal University, Guangzhou

Experience

  • 2022.09-present: Foreign Affairs Specialist, Office of International Exchange and Cooperation, Guangdong University of Technology. She supervises foreign relations and formulates strategies for international collaboration, overseeing partnerships with over 150 institutions worldwide.
  • 2015.09-present: Lecturer, School of Economics, Guangdong University of Technology. She teaches courses in statistics, economics, and contemporary Chinese economy, contributing significantly to the academic growth of her students.

Research Interests

Danyu Huang’s research primarily focuses on sustainable tourism, ecotourism, and the role of social capital in fostering pro-environmental behaviors. Her work explores the cultural vulnerability of regions and the integration of cultural and environmental sustainability in tourism.

Awards

  • 2022: “Top Ten Teachers” of Kangyuan Education Fund for 2020-2021
  • 2020: China Exhibition Education Outstanding Teacher Award
  • 2017: Second Prize in the Higher Education Category of the 8th Guangdong Provincial Education and Teaching Achievement Award
  • 2013: “Excellent Paper Award” at the 2013 TOSOK Conference, Seoul, Korea
  • 2011-2012: National Study Abroad Fund Jointly Cultivated Doctoral Scholarship

Publications

📄 Key Publications

  • Jingyan Liu, Hailin Qu, Danyu Huang, et al. “The role of social capital in encouraging residents’ pro-environmental behaviors in community-based ecotourism.” Tourism Management, April 2014. Link
    Cited by: 200+ articles.
  • Jialin Wu, Danyu Huang, Jingyan Liu, Rob Law. “Which Factors Help Visitors to Convert Their Short-Term Pro-Environmental Intentions into Long-Term Behaviors?” International Journal of Tourism Sciences, 2013, Volume 13, Number 2, pp. 33-56. Link
    Cited by: 150+ articles.
  • Liu Jingyan, Wang Yajun, Huang Danyu. “Research on sustainable development of ecotourism based on community perspective.” Huazhong Science and Technology Press, 2019. Link
    Cited by: 120+ articles.
  • Huang Danyu. “Analysis of cultural vulnerability of Lingnan region based on geographic information system.” Proceedings of the 2016 Guangdong Provincial Social Sciences Academic Annual Conference, 2016. Link
    Cited by: 80+ articles.
  • Huang Danyu, Wu Yang. “Research on the impact of service environment on stay intention and satisfaction: Taking exhibitions held in Guangzhou as an example.” The 10th China Tourism Forum, 2016. Link
    Cited by: 70+ articles.
  • Danyu Huang, Jingyan Liu, Wenju Li. “Cultural interaction in Tourism: structure, occurrence, motivation and effect.” Proceedings of the 16th International Conference on Asia Pacific Council on Hotel Restaurant Institutional Education (APacCHRIE), 2018. Link
    Cited by: 60+ articles.
  • Chen Yuan, Liu Yunzhen, Huang Danyu. “Discussion on exhibition-related professional courses and graduation thesis topics.” Research on Guangzhou Convention and Exhibition Economy (Second Series), 2018. Link
    Cited by: 50+ articles.
  • Chen Yiyuan, Huang Danyu. “The spatial evolution process and improvement path of Guangzhou’s convention and exhibition industry.” Research on the Development of Service Industry and Service Trade from a Global Perspective, 2020. Link
    Cited by: 45+ articles.
  • Wu Nianke, Huang Danyu. “Research on the impact of online shopping festival game mechanisms on shopping experience.” Research on the Development of Service Industry and Service Trade from a Global Perspective, 2020. Link
    Cited by: 40+ articles.
  • Cai Shuying, Huang Danyu, Chen Yiyuan. “Analysis of the impact of festivals on promoting rural revitalization.” Management Observation, 2020(25). Link

Conclusion

Huang Danyu is a strong candidate for the Research for Best Paper Award, with a solid foundation of research experience, international collaboration, and significant contributions to the fields of tourism management and ecotourism. His work is well-recognized, both academically and practically, making him a worthy contender for this award. However, there is potential for further growth by diversifying his research areas and increasing his presence as a lead author in top-tier journals. These improvements would not only enhance his research profile but also contribute to a more impactful and well-rounded academic career.

Haitham Adarbah | IoT | Best Researcher Award

Dr. Haitham Adarbah | IoT | Best Researcher Award 

Postdoctoral Researcher  | Texas A&M University |  United States

Research for Best Researcher Award

Strengths for the Award

  1. Innovative Research Contributions: Haitham Adarbah’s research, particularly in areas such as vehicular networks, 5G technologies, and artificial intelligence, demonstrates a strong capacity for innovation. His work on enhancing communication protocols for connected autonomous vehicles and developing secure routing protocols for IoT is cutting-edge and addresses critical technological challenges.
  2. Extensive Publication Record: Adarbah’s impressive list of publications in high-impact journals and conferences showcases his substantial contributions to the field of computer science. His research has been widely recognized and disseminated, highlighting his role as a leading scholar in wireless networks and related technologies.
  3. Successful Grant Acquisition: His ability to secure funding for research projects, such as the TRC-funded project on secure RPL routing protocols, underscores his competency in attracting financial support and managing substantial research initiatives.
  4. Educational Impact: As an educator, Adarbah has significantly influenced the academic development of his students. His dedication to teaching diverse subjects in computer science and mentoring both undergraduate and graduate students is commendable.
  5. Cross-Functional Collaboration: Adarbah actively engages with both academic and industry collaborators, facilitating advancements in his research areas and promoting collaborative learning environments.

Areas for Improvement

  1. Broader Research Horizons: While Adarbah’s focus on wireless networks and vehicular technologies is highly specialized, expanding his research scope to include emerging areas such as quantum computing or advanced cybersecurity could enhance his impact and visibility in the broader computing field.
  2. Increased Interdisciplinary Work: Further interdisciplinary collaborations, particularly with fields such as healthcare or environmental sciences, could provide new perspectives and applications for his research, potentially leading to groundbreaking discoveries.
  3. Enhanced Public Engagement: Increasing public engagement and outreach through popular science articles, public talks, or community-based projects could improve the visibility of his research and its societal impact.
  4. International Collaboration: Expanding collaborations with international researchers and institutions could offer new opportunities for joint research projects and enhance the global impact of his work.
  5. Involvement in Professional Societies: Greater involvement in professional societies and editorial boards of high-impact journals could further solidify his reputation as a leading researcher and provide more platforms for sharing his insights.

Conclusion

Haitham Adarbah’s achievements in research and education make him a strong candidate for the Research for Best Researcher Award. His innovative contributions to wireless networks and communication technologies, coupled with his dedication to teaching and successful grant acquisition, highlight his exceptional qualifications. While there are areas for potential growth, such as expanding research horizons and increasing public engagement, Adarbah’s current accomplishments and impact on the field are noteworthy and deserving of recognition. His continued efforts in advancing technology and education underscore his commitment to excellence and innovation in computer science.

Short Biography 📚

Dr. Haitham Adarbah is an Assistant Professor in Computer Science at Texas A&M University-Corpus Christi, known for his dynamic approach to teaching and research. With a rich background in computer science, Dr. Adarbah excels in instructing both undergraduate and graduate courses, mentoring students, and advancing academic development. His research focus spans 5G and 6G communication protocols, vehicular networks, and AI algorithms, complemented by his active role in grant writing and conference presentations. He is celebrated for his innovative contributions and effective communication skills in regional and national computing events.

Profile

SCOPUS

Education 🎓

  • Postdoctoral Researcher (Ongoing)
    Texas A&M University, Corpus Christi, TX
    Focus: Enhancing connectivity and control for autonomous vehicles using AI algorithms in the 5G-6G era.
  • Doctor of Philosophy (PhD) in Wireless Networks
    De Montfort University, Leicester, UK
    Dissertation: Bandwidth and Energy-Efficient Route Discovery for Noisy Mobile Ad-Hoc Networks.
  • Master of Science in Computer Science
    Amman Arab University, Amman, Jordan
  • Bachelor of Science in Computer Science
    AL-Zaytoonah University of Jordan, Amman, Jordan

Experience 🏢

Dr. Adarbah has extensive experience in academia, having served as an IT Lecturer at Gulf College, Muscat, Oman, from April 2009 to August 2024. During this tenure, he taught a variety of subjects including Networks, Digital Solutions, and Artificial Intelligence. He also developed and delivered engaging lesson plans, fostered collaborative learning environments, and led numerous student research initiatives. His role involved evaluating student performance, mentoring, and orchestrating professional training sessions.

Research Interests 🔍

Dr. Adarbah’s research interests include:

  • 5G and 6G Communication Systems: Developing protocols for enhanced connectivity.
  • Vehicular Networks and V2X Systems: Exploring advanced communication technologies for autonomous vehicles.
  • Artificial Intelligence and Machine Learning: Applying AI to optimize network performance.
  • IoT and Wireless Networks: Investigating secure and efficient routing protocols.

Awards 🏆

  • Research Grant Appreciation from the Ministry of Higher Education – Research & Innovation of the Sultanate of Oman.
  • Teaching Excellence Award for the academic year 2015-16, recognizing his exceptional teaching and mentoring skills.

Publications 📄

Sobouti, M. J., Adarbah, H. Y., et al. “Efficient Fuzzy-Based 3-D Flying Base Station Positioning and Trajectory for Emergency Management in 5G and Beyond Cellular Networks.” IEEE Systems Journal (2024).

Al-Harrasi, A. S., Adarbah, H., et al. “Exploring the Adoption of Big Data Analytics in the Oil and Gas Industry: A Case Study.” Journal of Business, Communication & Technology (in press) (2024).

Adarbah, H. Y., Sookhak, M., & Atiquzzaman, M. “A Digital Twin Environment for 5G Vehicle-to-Everything: Architecture and Open Issues.” Proceedings of the Int’l ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks (PE-WASUN’23) (2023).

Adarbah, H. Y., Moghadam, M. F., et al. “Security Challenges of Selective Forwarding Attack and Design a Secure ECDH-Based Authentication Protocol to Improve RPL Security,” IEEE Access vol. 11, pp. 11268-11280, (2023).

Adarbah, H. Y., Al-Badi, A., & Golzar, J. “The Impact of Emerging Data Sources and Social Media on Decision Making: A Culturally Responsive Framework” International Journal of Society, Culture & Language Volume 11, Issue 1, pp. 16-29, (2023).

Adarbah, H. Y., Al-Badi, A. H. “Banking on the Cloud: Insights into Security and Smooth Operations” Journal of Business, Communication & Technology (2023, in Press).

Adarbah, H. Y., Ahmad, S. “Impact of Selective Forwarding Attacks on the Performance of RPL Routing Protocol in the Internet of Things” International Journal of Research Publication and Reviews Volume 3, Issue 6, pp. 1479-1487, (2022).

Adarbah, H. Y., Goode, M. M. H. “Key Demand Factors in Professional Business Courses: A Mixed-Methods Study” Journal of Business, Communication & Technology Volume 1, Issue 2, pp. 44-53, (2022).

Adarbah, H. Y., Jajarmi, H. “Active Learning for Omani At-Risk Students through Educational Technology: A Case of Content-Based Language Instruction” International Journal of Society, Culture & Language Volume 10, Issue 2, pp. 82-91, (2022).

Adarbah, H. Y., Ahmad, S. “Channel-Adaptive Probabilistic Broadcast in Route Discovery Mechanism of MANETs” Journal of Communications Software and Systems (JCOMSS) Volume 15, Issue 1, pp. 34-44, March (2019).