Shishir Tewari | Computer Science | Technology and Innovation Leadership Award

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Mr. Shishir Tewari | Computer Science | Technology and Innovation Leadership Award

Senior Manager, Data Engineering at Procore Technologies, United States

Shishir Tewari is a seasoned technology leader with over 19 years of experience driving innovation in data engineering, data warehousing, and analytics across top-tier organizations such as Google, Amazon, Morgan Stanley, and Microsoft. He currently leads strategic data initiatives at Procore Technologies, where he has spearheaded the development of AI/ML-driven platforms, cloud migrations, and real-time analytics systems. Known for his expertise in building scalable, high-performance data solutions, Shishir has successfully led global engineering teams and transformed complex data ecosystems on AWS, GCP, and Databricks. His technical vision, operational excellence, and commitment to data quality and governance have consistently delivered measurable business value. Shishir’s continuous pursuit of innovation and deep cross-functional leadership make him a standout contributor in the technology landscape. With a strong foundation in data science, cloud architecture, and team mentorship, he exemplifies the qualities of a forward-thinking, impact-driven technology leader worthy of recognition.

Professional Profile 

Google Scholar

Education

Shishir Tewari holds a Bachelor of Technology in Information Technology from U.P.T.U., India, graduating in 2006. Demonstrating a commitment to lifelong learning and innovation, he further enhanced his credentials with a specialization in Data Science and Analytics from Rutgers University, New Jersey, in 2018–2019. This advanced academic training equipped him with modern analytical techniques, machine learning algorithms, and statistical modeling—skills that have been instrumental in his professional success. His educational background lays a strong foundation for his technical leadership, blending theoretical knowledge with real-world application. The combination of engineering fundamentals and data science expertise positions Shishir as a well-rounded technology leader who can bridge the gap between innovation and implementation in enterprise environments.

Professional Experience

Shishir Tewari brings over 19 years of robust experience across global technology firms, including Google, Amazon, Morgan Stanley, Microsoft, and currently, Procore Technologies. His career spans technical leadership, large-scale data architecture, and cloud-native platform innovation. At Google, he led a global team optimizing financial data pipelines and infrastructure. At Amazon, he designed high-performance advertising data systems, enabling substantial revenue impact. At Procore, he has driven major initiatives including AI/ML-powered data platforms and cloud migrations. His ability to manage large engineering teams, align data strategy with business goals, and optimize performance at scale reflects his leadership maturity. Shishir’s diverse experience across industries—finance, tech, construction, and advertising—gives him a unique, cross-sector perspective on data-driven transformation.

Research Interest

Shishir Tewari’s research interests lie at the intersection of big data engineering, AI/ML-driven analytics, and cloud computing. He is particularly passionate about optimizing large-scale data systems for performance, governance, and real-time decision-making. With practical expertise in cloud platforms like AWS, GCP, and Databricks, his focus is on leveraging modern data stacks and open-source technologies to power next-generation analytics and automation. He is also interested in the application of machine learning for master data management, anomaly detection, and predictive modeling within business intelligence ecosystems. While not rooted in academic publishing, his work consistently applies research principles to solve real-world business problems, delivering measurable impact. Future interests include exploring the integration of generative AI with enterprise data platforms and advancing data democratization through self-service analytics tools.

Award and Honor

While specific awards and honors are not listed in his profile, Shishir Tewari’s consistent elevation to senior technical and leadership roles in globally respected organizations serves as a testament to his excellence and recognition within the industry. Being entrusted with mission-critical projects at Google, Amazon, and Morgan Stanley speaks to his reliability, vision, and execution skills. His role in leading high-visibility initiatives such as financial data certification, AI/ML-driven analytics platforms, and major cloud migrations reflects the high degree of trust and credibility he commands. He has likely received internal accolades for his contributions to performance optimization, cost reduction, and innovation. A nomination for a Technology and Innovation Leadership Award would further formalize and honor his significant contributions to data-driven transformation and technological advancement in enterprise settings.

Conclusion

Shishir Tewari exemplifies the qualities of a forward-thinking technology leader, with deep expertise in data engineering, cloud architecture, and strategic innovation. His two-decade-long career reflects a commitment to excellence, from hands-on development to executive-level leadership. With advanced training in data science, he brings both theoretical rigor and practical vision to his work. His impactful roles at top-tier organizations demonstrate his ability to lead cross-functional teams, optimize large-scale systems, and implement transformative technologies. Passionate about leveraging AI/ML and cloud platforms to drive business value, Shishir’s professional journey is marked by continuous learning and measurable outcomes. He stands out as a prime candidate for recognition through a Technology and Innovation Leadership Award, not only for his technical contributions but also for his ability to inspire, mentor, and lead organizations into the future of data-driven innovation.

Publications Top Notes

  1. Title: AI Powered Data Governance – Ensuring Data Quality and Compliance in the Era of Big Data
    Authors: S. Tewari
    Year: 2025

  2. Title: Operationalizing Explainable AI in Business Intelligence: A Blueprint for Transparent Enterprise Analytics
    Authors: A. Chitnis, S. Tewari
    Year: 2024

  3. Title: AI and Multi-Cloud Compliance: Safeguarding Data Sovereignty
    Authors: S. Tewari, A. Chitnis
    Year: 2024

  4. Title: Scalable Metadata Management in Data Lakes Using Machine Learning
    Authors: S. Tewari
    Year: 2023
    Citation: (Update needed)

  5. Title: AI-Powered Financial Forecasting: Enhancing Accuracy with Machine Learning in Enterprise System
    Authors: S. Tewari
    Year: 2023)

  6. Title: Detecting Data Drift and Ensuring Observability with Machine Learning Automation
    Authors: A. Chitnis, S. Tewari
    Year: 2022

  7. Title: Anomaly Detection in Large Scale Data Platforms with Machine Learning
    Authors: S. Tewari
    Year: 2022

  8. Title: Leveraging Graph Based Machine Learning to Analyze Complex Enterprise Data Relationships
    Authors: S. Tewari, A. Chitnis
    Year: 2021

Oleg Morozov | Engineering | Best Researcher Award

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Prof. Oleg Morozov | Engineering | Best Researcher Award

Professor at Kazan National Research Technical University n.a. A.N. Tupolev-KAI, Russia

Prof. Oleg G. Morozov is a distinguished academic and researcher in the field of microwave photonics and fiber optic sensor technology. Born on October 30, 1960, in Kazan, Tatarstan, Russia, he has made significant contributions to both fundamental and applied aspects of electrodynamics and photonics. With a professional career spanning over four decades, Prof. Morozov has held various high-impact academic and administrative positions at Kazan National Research Technical University named after A.N. Tupolev-KAI. He is known for his leadership in advancing research at the intersection of electronics, photonics, and cyber-physical systems. His work has been central to establishing several key academic departments and research labs, and he is currently the Head of the IT-COM Department. In addition to his academic duties, he serves as the Chief Editor of the journal Electronics, Photonics and Cyber-Physical Systems. He is widely respected for both his scientific rigor and leadership in research development.

Professional Profile

Education

Prof. Morozov pursued his early higher education in radiotechnics, graduating as an Engineer in 1983 from the Tupolev Aviation Institute in Kazan. Demonstrating academic excellence and deep technical curiosity, he completed his Ph.D. in 1987, focusing on advanced topics in applied physics and communication systems. Further solidifying his standing in the academic community, he earned the prestigious Doctor of Technology degree in 2004 from Kazan National Research Technical University named after A.N. Tupolev-KAI. His educational journey is characterized by a strong foundation in electronics, microwave engineering, and photonics—fields that have informed his research career. Throughout his academic progression, Prof. Morozov has stayed closely involved with evolving technological disciplines, often integrating cross-disciplinary approaches in his teaching and research. His educational background has equipped him not only with in-depth technical knowledge but also with a strategic vision for technology’s role in science and innovation, particularly within the Russian higher education landscape.

Professional Experience

Prof. Morozov’s professional experience is marked by a series of leadership roles within Kazan National Research Technical University. From 1989 to 1993, he was the Head of the Quantum Electronics and Laser Technology R&D Lab, where he initiated numerous pioneering projects. Later, between 2005 and 2014, he led the TV and Multimedia Systems Department, focusing on advancements in signal processing and integrated media technologies. From 2014 to 2023, he served as the Head of the Radiophotonics and Microwave Technology Department, strengthening the university’s position in cutting-edge research. In parallel, he also directed the R&D Institute of Applied Electrodynamics, Photonics, and Life Systems from 2012 to 2021, where he supervised multidisciplinary research teams. Currently, he is a Professor and Head of the IT-COM Department. His professional path reflects a consistent commitment to innovation, interdisciplinary research, and fostering academic excellence in emerging technological domains.

Research Interests

Prof. Morozov’s research interests lie primarily in microwave photonics, fiber optic sensors, and radiophotonic interrogation techniques. His work bridges theoretical innovation and applied research, especially in high-frequency signal processing, quantum electronics, and cyber-physical system integration. He has contributed significantly to the development of advanced sensing technologies, optical communication systems, and integrated photonic devices. His research also explores the role of photonics in healthcare and smart systems, showing an ability to adapt traditional fields to modern technological challenges. Prof. Morozov has consistently aimed to merge physical sciences with engineering applications, contributing to both national and international scientific communities. His leadership in these areas has resulted in a number of collaborative projects and publications that have advanced the state of the art in photonics and related technologies. He also emphasizes system-level thinking, where electronics, optics, and digital technologies converge to build intelligent and adaptive sensing solutions for next-generation applications.

Awards and Honors

Throughout his illustrious career, Prof. Morozov has received numerous awards and honors recognizing his research excellence and academic contributions. Most notably, he was awarded the Frish Medal by the Russian Optical Society (ROS), a prestigious accolade for contributions to optical science and technology. He holds the Senior Member status in three leading professional organizations—IEEE, SPIE, and OSA—which reflects his recognized expertise and longstanding service to the global scientific community. Beyond personal awards, his editorial roles, including Guest and Board Editor positions with IntechOpen and MDPI journals, highlight his influence on the broader research discourse. Currently, he serves as the Chief Editor of the journal Electronics, Photonics and Cyber-Physical Systems, further solidifying his thought leadership in the field. These honors not only affirm his past achievements but also position him as a central figure in shaping future advancements in photonic systems and applied electrodynamics.

Conclusion

Prof. Oleg G. Morozov is highly suitable for the Best Researcher Award due to his long-standing and impactful career in cutting-edge technologies, particularly in photonics and microwave systems. His leadership roles, academic achievements, and recognition by esteemed global societies reinforce his strong candidacy.

Publications Top Notes

  • Title: Superstructured Addressable Fiber Bragg Structures

    • Authors: B. Valeev, R.A. Makarov, T.A. Agliullin, A.Z. Sakhabutdinov, O.G. Morozov

    • Year: 2025

    • Citations: 0

  • Title: OAM Mode Propagation and Supercontinuum Generation in a Nested Photonic Crystal Fiber

    • Authors: S. Punia, A. Saharia, Y. Ismail, G.L. Singh, M. Tiwari

    • Year: 2025

    • Citations: 0

  • Title: A Design of Nested Photonic Crystal Fiber for OAM Mode Propagation (Conference Paper)

    • Authors: S. Punia, A. Saharia, Y. Ismail, G.L. Singh, M. Tiwari

    • Year: Not specified

    • Citations: 0

  • Title: Microscopic Temperature Sensor Based on End-Face Fiber-Optic Fabry–Perot Interferometer

    • Authors: M. Chesnokova, D.I. Nurmuhametov, R.S. Ponomarev, O.G. Morozov, R.A. Makarov

    • Year: 2024

    • Citations: 2

  • Title: Design and Performance Analysis of a Novel Hoop-Cut SPR-PCF Sensor for High Sensitivity and Broad Range Sensing Applications

    • Authors: S. Mittal, A. Saharia, Y. Ismail, M. Tiwari, S. Kumar

    • Year: 2024

    • Citations: 12

  • Title: Ontology of Addressed Fiber Bragg Structures as a New Type of Sensor Elements (Conference Paper)

    • Authors: O.G. Morozov, A.Z. Sakhabutdinov

    • Year: Not specified

    • Citations: 0

  • Title: A Six-Core Microstructured Fiber for Sensing Applications (Conference Paper, repeated thrice)

    • Authors: A. Agarwal, S. Mittal, S. Punia, G.L. Singh, M. Tiwari

    • Year: Not specified

    • Citations: 0

  • Title: Modeling of Multi-Layer Fiber-Optic Fabry–Perot Interferometer as a Sensing Element of Humidity, Pressure and Temperature

    • Authors: A.Z. Sakhabutdinov, T.A. Agliullin, B. Valeev, O.G. Morozov, S.M. Hussein

    • Year: Not specified

    • Citations: 0

 

Yanming Zhao | Computer Science | Best Researcher Award

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Prof. Yanming Zhao | Computer Science | Best Researcher Award

Professor at Hebei MINZU Normal University, China

Yanming Zhao is a distinguished Professor at Hebei University of Nationalities, specializing in visual computing and deep neural networks. With a commitment to advancing technology and innovation, he has made significant contributions to the field of computer application technology, evidenced by his extensive research and numerous publications. 🌟

Profile 

Scopus Profile

Education🎓

Yanming graduated with a Master’s degree in Computer Application Technology from the School of Information at Shenyang University of Technology in 2010. His academic background laid a solid foundation for his future research endeavors and leadership in academia.

Experience🏛️💼

As a Master’s Supervisor and experienced researcher, Professor Zhao has participated in over nine provincial-level research projects and has consulted on over 500 industry projects. His work not only showcases his expertise but also his dedication to bridging the gap between academia and industry.

Research Interests🔬📈

Professor Zhao’s research primarily focuses on visual computing and deep neural networks. He has developed innovative algorithms, including the visual selectivity-based 3D graph convolutional algorithm (VS-3DGCN), aimed at enhancing point cloud segmentation performance and addressing key challenges in 3D graph convolutional algorithms.

Awards 🏆

Throughout his career, Yanming has received numerous accolades, including the title of Excellent Scientific and Technological Worker in Hebei Province and Outstanding Expert Managed by Chengde City. These awards reflect his significant contributions to the scientific community and his leadership in research.

Publications

Professor Zhao has published more than 30 academic papers in esteemed journals, such as:

  • Multi-channel depth segmentation network based on 3D graph convolution algorithm and its application in point cloud segmentation
    • Authors: Zhao, Y.
    • Journal: Alexandria Engineering Journal
    • Year: 2024
    • Citations: 0
  • The Multi-View Deep Visual Adaptive Graph Convolution Network and Its Application in Point Cloud
    • Authors: Fan, H., Zhao, Y., Su, G., Zhao, T., Jin, S.
    • Journal: Traitement du Signal
    • Year: 2023
    • Citations: 4
  • Graph Convolution Algorithm Based on Visual Selectivity and Point Cloud Analysis Application
    • Authors: Zhao, Y., Su, G., Yang, H., Jin, S., Yang, J.
    • Journal: Traitement du Signal
    • Year: 2022
    • Citations: 2
  • Slow Feature Extraction Algorithm Based on Visual Selection Consistency Continuity and Its Application
    • Authors: Yang, H., Zhao, Y., Su, G., Fan, H., Shang, Y.
    • Journal: Traitement du Signal
    • Year: 2021
    • Citations: 0
  • Design and application of a slow feature algorithm coupling visual selectivity and multiple long short-term memory networks
    • Authors: Zhao, Y., Yang, H., Su, G.
    • Journal: Traitement du Signal
    • Year: 2021
    • Citations: 1

These contributions have garnered a total citation index of 102 times, illustrating the impact of his work on the research community. 📚🔗

Conclusion🌍✨

In summary, Professor Yanming Zhao stands out as a leading figure in the fields of visual computing and deep learning. His extensive research, numerous publications, and accolades make him a deserving candidate for the Best Researcher Award. His ongoing commitment to innovation and excellence continues to inspire colleagues and students alike.

GUNBAEK SO | CONTROL | Best Researcher Award

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GUNBAEK SO | CONTROL | Best Researcher Award

Professor, Mokpo National Maritime University, South Korea

Dr. Gunbaek So is a distinguished Assistant Professor at Mokpo National Maritime University in South Korea. Born on November 4, 1985, Dr. So has made significant contributions to the fields of control systems and marine engineering through his innovative research and numerous publications.

Profile

Scopus

Evaluation for the Best Researcher Award

Candidate: Prof. Dr. Gunbaek So

Affiliation: Mokpo National Maritime University, South Korea

Strengths for the Award:

  1. Consistent Research Output:
    • Prof. Dr. Gunbaek So has a solid record of consistent publication in reputable journals since 2018. His work is spread across various high-impact journals, indicating a steady contribution to the field of control systems and marine engineering.
  2. Diverse Research Focus:
    • His research spans several critical areas including fuzzy gain scheduling, PID controllers, regasification systems for LNG-fueled marine engines, and nonlinear control techniques. This diversity showcases his broad expertise and ability to tackle different problems within his field.
  3. Open Access Publications:
    • A significant number of his articles are published as open access, ensuring wider dissemination and accessibility of his research findings, which contributes to his visibility and impact within the academic community.
  4. Collaboration:
    • The collaborative nature of his research, often co-authored with other experts, reflects his ability to work well within a team and engage with the broader research community.
  5. Citation Record:
    • Despite some papers having low citation counts, a few have received notable attention, such as the 2018 article in the Korean Journal of Chemical Engineering with 22 citations. This indicates that certain aspects of his work have had a substantial impact on the field.

Areas for Improvement:

  1. Increase Citation Impact:
    • While some of his papers have garnered citations, increasing the impact of his more recent work would strengthen his candidacy. This could be achieved through enhanced visibility efforts, such as presenting at international conferences and engaging in more collaborative projects.
  2. Research Funding and Grants:
    • Securing additional research funding and grants could enhance his research capabilities and output. This would not only provide more resources for conducting advanced research but also increase the prestige associated with his work.
  3. Engagement in Professional Organizations:
    • Greater involvement in professional organizations and committees related to his field could further establish him as a leader and contribute to his professional development. This might include roles such as conference organizer, journal editor, or society president.
  4. Public and Industry Engagement:
    • Engaging more with industry stakeholders and the public can translate his research into practical applications, thus increasing its societal impact. This could involve consultancy, applied research projects, or public lectures.

Education

Dr. Gunbaek So holds advanced degrees in engineering, specializing in control systems and marine engineering. His academic journey has equipped him with a deep understanding of PID controllers and their applications in various industrial processes.

Experience

Dr. So has been an Assistant Professor at Mokpo National Maritime University since September 2021. He has held this position through multiple terms, from September 01, 2021, to February 28, 2022, from March 01, 2022, to November 15, 2023, and from November 16, 2023, to the present.

Awards

Dr. Gunbaek So has been recognized for his innovative contributions to control systems and engineering, reflected in his high citation counts and impactful publications.

Publications Top Notes

Dr. So has authored numerous high-impact research articles published in esteemed journals. Here are some of his significant publications along with their citations:

  1. Fuzzy Gain Scheduling of the Fractional-Order PID Controller for a Continuous Stirred-Tank Reactor Process
    Wase, M.G., Gebrekirstos, R.F., Jin, G.-G., & So, G.-B. (2023). Processes, 11(12), 3275.
    Read the article
    Cited by: 0
  2. DS-Based 2-DOF PID Controller of a Regasification System for LNG-Fueled Marine Engine
    So, G.-B. (2022). Journal of Marine Science and Engineering, 10(5), 606.
    Read the article
  3. Design of Linear PID Controller for Pure Integrating Systems with Time Delay Using Direct Synthesis Method
    So, G.-B. (2022). Processes, 10(5), 831.
    Read the article
    Cited by: 6
  4. A Modified 2-DOF Control Framework and GA Based Intelligent Tuning of PID Controllers
    So, G. (2021). Processes, 9(3), 423.
    Read the article
    Cited by: 7
  5. Design of an Intelligent NPID Controller Based on Genetic Algorithm for Disturbance Rejection in Single Integrating Process with Time Delay
    So, G. (2021). Journal of Marine Science and Engineering, 9(1), 25.
    Read the article
    Cited by: 4
  6. EA-Based Design of a Nonlinear PID Controller Using an Error Scaling Technique
    So, G.-B. (2019). Studies in Informatics and Control, 28(3), 279-288.
    Read the article
    Cited by: 6
  7. Temperature Control of a Regasification System for LNG-fuelled Marine Engines Using Nonlinear Control Techniques
    So, G.-B., Yi, H.-S., Son, Y.-D., & Jin, G.-G. (2018). International Journal of Control, Automation and Systems, 16(6), 3047-3054.
    Read the article
    Cited by: 4
  8. Fuzzy-based Nonlinear PID Controller and Its Application to CSTR
    So, G.-B., & Jin, G.-G. (2018). Korean Journal of Chemical Engineering, 35(4), 819-825.
    Read the article
    Cited by: 22

Conclusion:

Prof. Dr. Gunbaek So demonstrates a strong profile for the Best Researcher Award, given his consistent research output, diverse focus areas, and collaborative nature. While there are areas for improvement, particularly in increasing the impact of his recent work and securing additional funding, his contributions to the fields of control systems and marine engineering are noteworthy. Enhancing his engagement with the broader academic and professional community will further bolster his candidacy and reflect his potential as a leading researcher in his domain.

 

 

 

 

Yongliang Zhang | Electronics | Best Researcher Award

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Dr. Yongliang Zhang | Electronics | Best Researcher Award

Professor, Inner Mongolia University, China

Zhang Yongliang is a distinguished professor at the School of Electronic Information Engineering, Inner Mongolia University. Born in October 1985 in Hohhot, Inner Mongolia, he is a member of the Communist Party of China. Professor Zhang has made significant contributions to the fields of electronic information and electromagnetic research, holding a vital role in mentoring graduate students and leading pioneering research projects.

Profile

Scopus

🎓 Education

Zhang Yongliang completed his Bachelor’s degree in Electronic Information Engineering at Xidian University in 2009. He continued his education at the same university, earning a Ph.D. in Electronic Science and Technology with a specialization in Electromagnetic Field and Microwave Technology in 2014 under the supervision of Professor Liang Changhong.

💼 Experience

Professor Zhang began his academic career as a lecturer at Inner Mongolia University in 2014. He was promoted to Associate Professor in 2017 and achieved full Professorship in 2020. Additionally, he served as a visiting researcher at Tohoku University, Japan, in 2020, expanding his international experience and collaborative research endeavors.

🔬 Research Interests

Professor Zhang’s research interests are diverse and cutting-edge. They include:

  1. Artificial Intelligence and Machine Learning applications in control engineering and pattern recognition.
  2. Electromagnetic fields, microwave, and millimeter-wave research integrating AI for enhanced performance.
  3. Communication RF front-end device optimization, including filters and antennas.
  4. Integrated circuit and microelectronic device research.
  5. Computational electromagnetics.
  6. Intelligent automotive electronics and vehicle communication systems.

📖 Publications Top Notes

Professor Zhang has an extensive list of publications, with notable recent works including:

  1. 2023:
    • Zhang, Yongliang et al., “A Coupling Matrix Synthesis Design for Filtering Antenna With Good Out-of-Band Suppression,” IEEE Antennas and Wireless Propagation Letters. Link
    • Zhang, Yongliang et al., “Compact wideband filtering Balun Based on SISL Technology,” International Journal of Microwave and Wireless Technologies. Link
    • Li, Kunlai et al., “A novel algorithm of the perfectly matched layer based on the Runge–Kutta method of order 2 accuracy,” Microwave and Optical Technology Letters. Link
  2. 2022:
    • Zhang, Yongliang et al., “A 3 dB SISL coupler design by multi-objective evolutionary algorithm based on decomposition,” International Journal of RF and Microwave Computer-Aided Engineering. Link
    • Zhang, Yongliang et al., “A single cavity wideband passband filter with a notched band,” International Journal of RF and Microwave Computer-Aided Engineering. Link
    • Zhang, Xianfang et al., “A novel MS to SL vialess vertical transition for high-performance substrate integrated filter,” International Journal of RF and Microwave Computer-Aided Engineering. Link