Gaurav Mittal | Data Science | Digital Education Tools Award

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

 

Rania Sefti | Data Science | Best Researcher Award

Ms. Rania Sefti | Data Science | Best Researcher Award

Phd student, Université Mohammed Premier Oujda, Morocco

Sefti Rania is a passionate researcher specializing in numerical analysis, optimization, and image processing. With a robust academic background and extensive teaching experience, she is currently pursuing a Ph.D. in a joint program between Morocco and France. Her research focuses on developing advanced methods for medical image segmentation using deep learning techniques.

Profile

Scopus

 

Education 🎓

Ph.D. in Mathematics and Computer Science (Specialization: Numerical Analysis and Optimization, Image Processing, Deep Learning), Mohammed First University, Oujda, Morocco, University of Orleans, France (Since 2020). Master in Numerical Analysis and Optimization (Honors: Good), Mohammed First University, Oujda, Morocco (2019). Bachelor’s Degree in Mathematical Sciences and Applications (Honors: Fairly Good), Mohammed First University, Oujda, Morocco (2017). High School Diploma in Experimental Sciences (Honors: Good), Ibn El Haytam High School, Nador, Morocco (2012)

Experience 💼

Adjunct Lecturer at Mohammed First University, Oujda, Morocco (2020 – Present). Higher School of Technology (Specialty: MCT and LPMI). Faculty of Sciences (Specialty: SVT and SMPC). Modules taught include Mathematics and Analysis with a total of over 200 hours of instruction. Reviewer for numerous articles in Mathematics and Computer Science since 2022

Research Interests 🔬

Numerical Analysis and Optimization, Image Processing, Deep Learning, Medical Image Segmentation.

Awards 🏆

Numerous Publications in renowned journals and conferences in the field of numerical analysis and optimization. Presentation Awards for contributions at international conferences such as MACMAS, NT2A, and SMAI-SIGMA

Publications

A CNN-based spline active surface method with an after-balancing step for 3D medical image segmentation, Mathematics and Computers in Simulation. Link – Cited by:

C2 composite spline methods for fitting data on the sphere, Springer special volume of the SEMA-SIMAI Springer Series. (Accepted in June 2023) – Cited by:

PID-Snake: Progressive Iterative Deformation of a Snake model for segmentation of a variety of images, Journal of Computational and Applied Mathematics. (Submitted in June 2024) – Cited by:

Fine-tuned cubic generalized composite spline interpolation with optimal parameter, Mathematics in Computer Science. (Submitted in June 2024) – Cited by:

A deep network-based spline active contour method for medical image segmentation, Springer special volume of the SEMA-SIMAI Springer Series. (Submitted in 2024) – Cited by: