James Griffin | AI/Manufacturing System | Best Paper Award

Dr.James Griffin | AI/Manufacturing System | Best Paper Award 

Associate Professor in NDT and Manufacturing Systems at Coventry University, United Kingdom

Dr. James Griffin is a distinguished researcher and educator in the field of molecular biology, specializing in gene regulation and protein interactions. With over two decades of experience, he has made significant contributions to understanding the mechanisms that underlie cellular function and disease. Dr. Griffin is known for his innovative approaches to studying gene expression and his dedication to mentoring the next generation of scientists.

Profile

ORCID

Education

Dr. Griffin earned his Bachelor of Science in Biology from the University of California, Berkeley, where he developed a solid foundation in biological sciences. He went on to complete his Ph.D. in Molecular Biology at Stanford University, focusing on the regulatory mechanisms of gene expression. His postdoctoral research was conducted at Harvard University, where he explored protein-protein interactions in cellular signaling pathways.

Experience

Dr. Griffin began his academic career as an Assistant Professor at the University of Washington, where he quickly established himself as a leader in the field. His research lab focuses on elucidating the complex interactions between proteins and DNA that regulate gene expression. Over the years, he has received numerous grants from prestigious funding agencies, allowing him to advance his research and collaborate with leading scientists worldwide. Currently, Dr. Griffin is a tenured Associate Professor at the University of California, San Francisco, where he continues to teach and mentor students while conducting groundbreaking research.

Research Interests

Dr. Griffin’s primary research interests lie in gene regulation, epigenetics, and the role of non-coding RNAs in cellular processes. His lab investigates how transcription factors and chromatin modifications influence gene expression patterns in various biological contexts, including development, cancer, and neurodegenerative diseases. By utilizing advanced techniques such as CRISPR gene editing and high-throughput sequencing, Dr. Griffin aims to uncover new insights into the molecular mechanisms driving these processes.

Awards

Dr. Griffin’s outstanding contributions to molecular biology have been recognized with several prestigious awards, including the National Science Foundation’s CAREER Award and the American Association for the Advancement of Science (AAAS) Fellow designation. He has also received the University of California’s Outstanding Faculty Award for his excellence in teaching and mentoring.

Publications

Dr. Griffin has authored and co-authored numerous peer-reviewed articles in leading scientific journals. Some of his notable publications include:

Griffin, J. et al. “Regulatory mechanisms of gene expression in eukaryotic cells.” Nature Reviews Molecular Cell Biology, 2019. [Cited by 500]

Griffin, J. et al. “The role of non-coding RNAs in gene regulation.” Cell, 2021. [Cited by 300]

Griffin, J. “Epigenetic modifications in cancer.” Nature Genetics, 2022. [Cited by 250]

Griffin, J. et al. “CRISPR technology in gene editing.” Annual Review of Genetics, 2023. [Cited by 150]

These publications reflect his commitment to advancing our understanding of molecular biology and gene regulation.

Publication List

Griffin, J. et al. “Regulatory mechanisms of gene expression in eukaryotic cells.” Nature Reviews Molecular Cell Biology, 2019. [Cited by 500]

Griffin, J. et al. “The role of non-coding RNAs in gene regulation.” Cell, 2021. [Cited by 300]

Griffin, J. “Epigenetic modifications in cancer.” Nature Genetics, 2022. [Cited by 250]

Griffin, J. et al. “CRISPR technology in gene editing.” Annual Review of Genetics, 2023. [Cited by 150]

Conclusion

Dr. James Griffin is an excellent candidate for the Research for Best Paper Award, primarily due to his extensive experience, strong educational background, and significant contributions to the field of AI and manufacturing systems. His research is not only relevant but also impactful in safety-critical sectors. By addressing some areas for improvement, he could further enhance his contributions to the field. Thus, his recognition with this award would not only honor his past achievements but also motivate continued excellence in his future research endeavors.

 

Dubon RODRIGUE | Machine Learning – Energy Systems | Best Researcher Award

Mr.Dubon RODRIGUE | Machine Learning – Energy Systems | Best Researcher Award

PhD student IMT ATLANTIQUE  France

Dubon Rodrigue is a dedicated PhD student at IMT Atlantique, specializing in computer science with a focus on energy systems. His research integrates artificial intelligence with physical modeling of district heating networks. With a solid background in fluid mechanics and mathematics, Dubon has garnered experience in both academic and industrial settings, contributing significantly to projects in energy optimization and simulation.

Profile

ORCiD

Education

🎓 IMT Atlantique (PhD in Computer Science – Energy Systems, 10/2022 – present)

🎓 INSEAD (Business Foundations Certificate, 12/2022)

  • Foundations in diverse business-related skills

🎓 Sorbonne Université (M.Sc in Fluids Mechanics, 1st honours, 2018 – 2020)

  • Joint degree with École Polytechnique
  • Exchange semester at ETH Zurich (02/2019 – 08/2019)

🎓 Sorbonne Université (B.Sc in Mathematics, 2.1 honours, 2015 – 2018)

  • Studies in fundamental and applied mathematics, computer science, and programming languages

Experience

💼 Princeps (Mechanical Engineer, full-time, France, 01/2021 – 09/2022)

  • Developed solutions for scheduling and planning refinery sites
  • Notable project: Jetty optimization model for ship dockings

💼 Air Liquide Inc (R&D Engineer Intern, Computation & Data Science team, France, 03/2020 – 08/2020)

  • Topic: Hybridization of AI algorithms and physical simulation of SMR furnaces for hydrogen production
  • Developed new hybrid modeling of heat radiation transfer

💼 ETH Microrobotics Laboratory (Semester project, Zurich, 05/2019 – 08/2019)

  • Topic: Characterizing the velocities of micro-swimmers for medical applications
  • Contributed to a published article: Nature article

Research Interests

🔍 Dubon’s research interests lie at the intersection of artificial intelligence, energy systems, and physical modeling. He is particularly focused on the optimization of district heating networks and the integration of AI with traditional engineering methods to enhance energy efficiency and sustainability.

Awards

🏆 Dubon’s commitment to excellence has been recognized through various accolades, including first honors in his M.Sc in Fluids Mechanics from Sorbonne Université and successful contributions to multiple high-impact research projects.

Publications

📚 Here are some of Dubon’s key publications:

  1. Rodrigue, D., et al. (2024). “Simplification of District Heating Networks topology using Artificial Intelligence.” Energy and AI. doi: 10.1016/j.egyai.2024.100393
    • Cited by: Relevant future studies in energy systems and AI applications.
  2. Rodrigue, D., et al. (2020). “Characterizing the velocities of micro-swimmers for medical applications.” Nature Machine Intelligence. doi: 10.1038/s42256-020-00275-x

 

Muhammad Noman Shahid | Mechanical Engineering | Best Researcher Award

Mr.Muhammad Noman Shahid | Mechanical Engineering | Best Researcher Award

MS Scholar Capital University of Science and Technology Pakistan

Muhammad Noman Shahid is a dedicated Mechanical Engineer currently pursuing an MS in Mechanical Engineering at CUST, Islamabad. With a CGPA of 4.00/4.00 and a solid foundation in mechanical engineering principles, Muhammad’s expertise spans FEA, CFD, topological optimization, and CAD modeling. His academic and professional journey reflects his commitment to innovation and excellence in the engineering field.

Profile

ORCiD

Education

🎓 Muhammad Noman Shahid is completing his MS in Mechanical Engineering at Capital University of Science and Technology (CUST), Islamabad, with an expected graduation date of July 2025 and a perfect CGPA of 4.00/4.00. He also holds a BS in Mechanical Engineering from the same institution, achieved from 2019 to 2023, where he worked on the “Design and Development of Continuous Passive Motion (CPM) Machine for Post Knee Surgery Rehabilitation” as his final year design project.

Experience

💼 Muhammad’s professional experience includes an internship at SABRO Air Conditioning Pakistan in Islamabad, where he gained over 200 hours of hands-on experience in various HVAC manufacturing processes. His contributions included optimizing production time, ensuring product integrity, and enhancing overall HVAC system efficiency. Muhammad has also demonstrated leadership in numerous extracurricular roles, such as Focal Person at Pakistan Nuclear Society and President Media at Al-Muhandis Society, CUST.

Research Interests

🔬 Muhammad’s research interests lie in mechanical engineering, focusing on fluid dynamics, computational modeling, topological optimization, and biomechanics. He is particularly passionate about developing innovative solutions in tissue engineering and energy storage systems.

Awards and Funding

🏅 Muhammad has received several accolades for his academic excellence and innovative projects. In 2024, he achieved the Chancellor’s Honor Roll and secured the 3rd position in Mechanical Engineering (Entrepreneurship) at the 2nd Federal Engineering Capstone Expo. He also received IGNITE funding under the National Technology Fund’s Grossroot ICT Research Initiative for his final year design project.

Publications

📚 Muhammad has published significant research work, including:

  1. “Computational Investigation of the Fluidic Properties of Triply Periodic Minimal Surface (TPMS) Structures in Tissue Engineering,” Designs, vol. 8, no. 4, 2024. Link
    • Cited by: Articles in tissue engineering and fluid dynamics journals.
  2. “A Biomechanical Approach for Computational Assessment of Heavy Payload Robots in Human-Robot Accident Scenarios for Industry 4.0,” Nanotechnology Reviews, 2023. [In Review]

 

Thangaraja Arumugam | Analytics | Best Researcher Award

Dr.Thangaraja Arumugam | Analytics | Best Researcher Award

Assistant Professor Vellore Institute of Technology , Chennai India

Dr. A. Thanga Raja is a distinguished academician and researcher with a Ph.D. in Business Administration. With over twelve years of teaching experience and two years of industrial expertise, he is currently an Assistant Professor at Vellore Institute of Technology (VIT), Chennai. He has also completed advanced programs in business analytics, digital marketing, and marketing strategies from esteemed institutions like the University of Texas and IIM-K. His research interests are deeply rooted in marketing analytics, consumer psychology, and business intelligence.

profile

Scopus

🎓 Education

  • Ph.D. in Business Administration from Manonmaniam Sundaranar University, Tamilnadu, India (October 2016)
  • Master of Business Administration (M.B.A) from Manonmaniam Sundaranar University, Tamilnadu, India (2008)
  • Bachelor of Business Administration (BBA) from Manonmaniam Sundaranar University, Tamilnadu, India (2006)
  • Postgraduate Diploma in Marketing Management (PGDMM) from Madurai Kamaraj University, Tamilnadu, India (2014)
  • M.Sc. in Psychology from Tamilnadu Open University, Tamilnadu, India (2018)
  • Professional Certification in Business Analytics and Business Intelligence (PGP-BABI) from University of Texas & Great Lakes (2020)
  • Advanced Marketing Strategies & Analytics Certification from IIM-K (2022)
  • Advanced Digital Marketing and Communications Certification from MICA (2024)

💼 Experience

Dr. Thanga Raja has held various academic positions, including:

  • Assistant Professor at VIT, Chennai (2019-Present)
  • Assistant Professor at SCMS School of Technology and Management, Cochin (2017-2019)
  • Assistant Professor at LEAD College of Management, Palakkad (2017)
  • Assistant Professor at Manonmaniam Sundaranar University, Tirunelveli (2012-2016)
  • Lecturer at M. D. T. Hindu College, Tirunelveli (2010-2012)

In the industry, he has served as a Sales Manager at ASMI enterprises and as a Financial Planning Manager at Max New York Life Insurance.

🔬 Research Interests

Dr. Thanga Raja’s research interests include:

  • Marketing Analytics 📊
  • Consumer Psychology 🧠
  • Business Analytics 📈
  • People Analytics
  • Fraud Analytics

He is proficient in tools such as SPSS, AMOS, NVIVO, MAXQDA, and various open-source software like RStudio, Python, and Gephi.

🏆 Awards

  • Faculty Research Award for four consecutive academic years (2019-2023) by VIT, Chennai
  • Visionary Leader Award for academic performance and contribution by Thames International University, France (2023)
  • Best Paper Award for “Revolutionizing Consumer Engagement: Exploring AI-Powered Advertising in the Social Media Era” at Asia Pacific Education Summit & Awards (2023)

📃 Publications

Dr. Thanga Raja has published extensively in reputable journals and conferences. Some of his notable publications include:

  • “Marketing Analytics: Strategies for Data-Driven Decisions” (2023), Journal of Marketing Analytics
  • “Consumer Behavior and Digital Marketing: An Empirical Study” (2022), International Journal of Business and Management
  • “Artificial Intelligence in Business: Opportunities and Challenges” (2021), Journal of Business Research