Gaurav Mittal | Data Science | Digital Education Tools Award

Published on by Computer Scientists Awards

Mr. Gaurav Mittal | Data Science | Digital Education Tools Award

Mr. Gaurav Mittal – Manager IT, Thermo fisher Scientific, United States.

Gaurav Mittal is a highly accomplished IT Manager with over 18 years of professional experience driving innovative solutions across diverse industries such as biopharmaceuticals, insurance, fraud detection, and healthcare. Renowned for his strategic vision and technical leadership, Gaurav specializes in data science, AI/ML, cloud platforms, and automation. He currently serves as Manager IT – Data Science at Thermo Fisher Scientific, where he leads the development of high-impact technologies including secure AI agents and ML frameworks. Gaurav is known for his hands-on approach to problem-solving, mentoring, and fostering cross-functional collaboration, consistently aligning technological innovation with business objectives.

Publication Profile

Google Scholar

🎓 Education Background

Gaurav Mittal holds a B.Tech degree in Electronics and Communication (2003–2007), laying the foundation for his career in software engineering and IT innovation. Further advancing his leadership and managerial skills, he earned an MBA in Information and Technology from 2017 to 2019. He is also a Sun Certified Java Programmer and has acquired professional certifications including AWS Cloud Practitioner and Lean Six Sigma Green and Yellow Belts. Gaurav’s educational journey reflects a strong combination of technical expertise and strategic acumen, enabling him to lead and influence in dynamic, fast-paced environments.

💼 Professional Experience

With a career spanning nearly two decades, Gaurav Mittal has held progressive roles in reputed organizations such as Thermo Fisher Scientific, Asurion, Dell Services, Zensar, and Mphasis. As a Manager at Thermo Fisher Scientific since 2022, he spearheads data science and automation initiatives, saving thousands in costs through AI-driven tools and ML model deployment. His past roles include developing intelligent automation scripts, containerized deployments, and predictive utilities using Python, AWS, and TensorFlow. Gaurav has consistently driven value through innovations in security, DevOps, QA automation, and cloud architecture, setting industry benchmarks for IT delivery excellence.

🏆 Awards and Honors

Gaurav Mittal’s contributions have been widely recognized within his organizations. He received the Golden Lever Award – Teams Category for his pivotal role in the “Tosca Validation” project at Thermo Fisher Scientific in Q1 2023. He was also a Finalist for the Golden Lever Award – Individual Category for his development of an “AWS IAM Keys Rotation Utility” the same quarter. These accolades underscore his expertise in regulatory compliance, secure automation, and cross-functional team leadership. His commitment to innovation and quality in IT service delivery continues to earn him accolades across his professional journey.

🔬 Research Focus

Gaurav Mittal’s research and development efforts focus on the intersection of data science, machine learning, and cybersecurity. He has designed and deployed advanced ML models for applications such as email classification using Named Entity Recognition (NER), SQL optimization, and security utilities that align with industry GxP compliance. His work emphasizes “Shift-Left Testing,” white-box techniques, and defect prediction to drive cost-effective quality assurance. Gaurav’s innovations bridge theoretical AI research with real-world implementation in enterprise IT systems, making him a thought leader in deploying AI solutions within secure, large-scale environments.

📌 Conclusion

Gaurav Mittal exemplifies technical leadership, innovation, and cross-domain expertise. From automating QA processes to pioneering ML model deployments and ensuring regulatory compliance, his career reflects a blend of deep technical proficiency and strategic IT vision. With numerous awards, published articles, and a track record of driving measurable outcomes, Gaurav stands as a dynamic professional continually pushing the boundaries of data science and enterprise technology. His role in transforming business operations through smart automation and secure digital frameworks marks him as a leader and visionary in the modern IT landscape.

📚 Publication Highlights

  1. Implementing Email Attachment Security
    Published Year: 2023 | Journal: Secure Systems Review

  2. Time-Cost Effective ML Model Deployment Using AWS Lambda
    Published Year: 2023 | Journal: Cloud AI Innovations

  3. Cracking the Code: Why White-Box Testing is the Key to Better Bug Hunting
    Published Year: 2023 | Journal: Software Test Engineering Journal

  4. Shift-Left Testing Benefits: Reduce Costs and Boost Collaboration
    Published Year: 2022 | Journal: Agile QA Digest

  5. Digital Arrest Scams: Understanding the Rise in Cyber Fraud
    Published Year: 2024 | Journal: Cybersecurity Watch

  6. Unpacking Shift-Left Testing Benefits: Key to Reducing Costs and Boosting Collaboration
    Published Year: 2023 | Journal: DevOps Insights Monthly

  7. Unlocking the Code for Defect Analysis: Moving from Black-Box Testing to White-Box Testing
    Published Year: 2024 | Journal: Software Quality Review

 

Wai Yie Leong | Data Science | Best Researcher Award

Published on by Computer Scientists Awards

Prof. Dr. Wai Yie Leong | Data Science | Best Researcher Award

Senior Professor at INTI International University, Malaysia

IR. Prof. Dr. Leong Wai Yie is a distinguished researcher and academic leader in electrical engineering, with a Ph.D. from The University of Queensland, Australia. She specializes in smart sensor networks, AI, big data analytics, and sustainable city technologies. A Fellow of IET (UK) and IEM, she has held senior positions at top Malaysian universities and contributed significantly to research excellence, program accreditation, and innovation. She has secured international research grants, published widely in high-impact journals, and received multiple Best Paper Awards. Her work bridges academia and industry, advancing cutting-edge solutions in healthcare, engineering, and Industry 4.0 systems.

📚Professional Profile

Orcid

Scopus

Google Scholar

🎓Academic Background

IR. Prof. Dr. Leong Wai Yie holds a strong academic foundation in electrical engineering. She earned her Bachelor’s degree with First Class Honours in Electrical Engineering from The University of Queensland, Australia, in 2001. Continuing her academic excellence, she completed her Ph.D. in Electrical Engineering at the same institution in 2005. Her educational journey provided a solid basis for her specialization in smart sensor systems, artificial intelligence, and data analytics. The rigorous training and research exposure during her studies laid the groundwork for her influential career in academia, research leadership, and multidisciplinary engineering innovation across international platforms.

💼Professional Experience

IR. Prof. Dr. Leong Wai Yie has over two decades of academic and research experience, holding senior roles in top institutions such as INTI International University, Perdana University, MAHSA University, and Taylors University. She has served as Dean, Director of Research Excellence, and Head of Department, contributing to academic program development, accreditation, and research strategy. Her earlier roles include project management at SIMTech, A*STAR Singapore, and lecturer positions at Imperial College London and The University of Queensland. Her experience bridges academia and industry, focusing on innovation, research commercialization, and the advancement of smart technologies and engineering education.

🏅Awards and Honors

IR. Prof. Dr. Leong Wai Yie has received numerous prestigious awards recognizing her research excellence and innovation. In 2024 alone, she earned multiple Best Paper Awards at international IEEE conferences in Taiwan, Thailand, Vietnam, and Japan. She also received the 2024 Travel Grant Award from the Institution of Engineering and Technology (UK). These accolades reflect her contributions to smart technologies, biomedical engineering, and sustainable systems. Her work has been consistently recognized for its originality, societal relevance, and technical impact, solidifying her reputation as a leading figure in engineering research both regionally and globally.

🔬Research Focus

IR. Prof. Dr. Leong Wai Yie’s research centers on emerging technologies with strong societal and industrial impact. Her primary areas include smart sensor networks, big data analytics, artificial intelligence, remote sensing, and sustainable city development. She is actively involved in advancing Industry 4.0 applications and international standards for engineering systems. Her interdisciplinary approach bridges biomedical engineering, environmental monitoring, and intelligent systems design. Through extensive collaboration with global institutions, she has developed innovative solutions in health diagnostics, aerospace tracking, and smart infrastructure. Her research aims to enhance quality of life through data-driven, intelligent, and sustainable technological advancements.

Citations:

📚 Citations: 1,022 (by 431 documents)
📄 Publications: 189 documents
📊 h-index: 16

📖Publication Top Notes

Potential and utilization of thermophiles and thermostable enzymes in biorefining
📅 Year: 2007 | Cited by: 781

Using indirect protein–protein interactions for protein complex prediction
📅 Year: 2008 | Cited by: 202

Endoglucanases: insights into thermostability for biofuel applications
📅 Year: 2013 | Cited by: 162

B-MYB is essential for normal cell cycle progression and chromosomal stability of embryonic stem cells
📅 Year: 2008 | Cited by: 123

Signal processing techniques for knowledge extraction and information fusion
📅 Year: 2008 | Cited by: 122

Current state and challenges of natural fibre-reinforced polymer composites as feeder in FDM-based 3D printing
📅 Year: 2021 | Cited by: 88

Markers of dengue severity: a systematic review of cytokines and chemokines
📅 Year: 2016 | Cited by: 67

A review of localization techniques in wireless sensor networks
📅 Year: 2023 | Cited by: 60

Convergence of IoT, Blockchain, and Computational Intelligence in Smart Cities
📅 Year: 2024 | Cited by: 51

The nine pillars of technologies for Industry 4.0
📅 Year: 2020 | Cited by: 50

✨Conclusion

Based on her exceptional academic credentials, interdisciplinary research expertise, international recognition, and sustained leadership in engineering innovation, IR. Prof. Dr. Leong Wai Yie stands out as a highly deserving candidate for the Best Researcher Award. With a Ph.D. from The University of Queensland and prestigious fellowships from IET, IEM, and IEEE, she has contributed significantly to cutting-edge fields such as smart sensor networks, AI, and sustainable technologies. Her impactful publications, global collaborations, extensive grant portfolio, and multiple Best Paper Awards in 2024 reflect ongoing excellence. She exemplifies the qualities of a world-class researcher with tangible societal and academic impact.