Sri Kolla | Industry 4.0 | Best Researcher Award

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Dr. Sri Kolla | Industry 4.0 | Best Researcher Award

Post Doctoral Researcher, University of Luxembourg, Luxembourg

Sri Kolla is an accomplished researcher and educator specializing in Manufacturing Engineering & Industry 4.0/5.0. With a diverse educational background and extensive experience in academia and industry, Sri has made significant contributions to the field of sustainable manufacturing and digital innovation.

Profile

Google Scholar

Education 🎓

Sri completed his Ph.D. in Manufacturing Engineering & Industry 4.0/5.0 from the University of Luxembourg in 2022. Prior to this, he earned a Master’s degree in Sustainable Manufacturing from the Norwegian University of Science & Technology and a Bachelor of Technology in Electrical & Electronics Engineering from Jawaharlal Nehru Technological University in India.

Experience 💼

With over 8 years of experience, Sri has held various roles in research, teaching, and advisory positions. He currently serves as a Manufacturing Advisor for Digital Innovation Hub at Luxinnovation, where he aligns European Commission priorities with Luxembourg’s Ministry of the Economy goals. Previously, he worked as a Postdoctoral Researcher and Doctoral Researcher at the University of Luxembourg, focusing on promoting digitalization and improving manufacturing productivity using Lean methodologies and Industry 4.0/5.0 technologies.

Research Interests 🔍

Sri’s research interests include Augmented Reality, Industrial Internet of Things, Data in Manufacturing, and Sustainable Manufacturing processes. He has published extensively on topics related to predictive maintenance, human-robot interaction, and the integration of Industry 4.0 technologies into manufacturing systems.

Awards 🏆

Sri has received multiple awards for his exceptional teaching prowess, outstanding commitment, and best papers & oral presentations at international conferences. His dedication to education and research excellence has been recognized both within the academic community and by industry partners.

Publications Top Notes📚

Augmented reality for quality inspection, assembly and remote assistance in manufacturing – Procedia Computer Science, 2023

Enabling predictive maintenance in high-speed manufacturing machines through critical parameter identification with sensor data – SSRN, 2023

Mixed reality for Industry 4.0 in manufacturing systems – Handbook of Manufacturing Systems and Design, 2023

Interaction modalities for augmented reality applications in manufacturing – Advances in Transdisciplinary Engineering, 2023

Razieh Davashi | Data mining

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Razieh Davashi: Leading Researcher in Data mining

Assistant Professor at Islamic Azad University, of Najafabad , Department of data mining.

🎉🏆 Congratulations Razieh Davashi , on receiving the esteemed Best Researcher Award from Top scientists Awards! 🌟 Your dedication, innovative research, and scholarly contributions have made a significant impact in the field of Data mining. 🌌 Your commitment to advancing knowledge and pushing the boundaries of research is truly commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done! 🌟

👨‍🏫 Razieh Davashi an Assistant Professor at University of Islamic Azad University, Najafabad Branch, Iran, Department of Data Mining, stands as a distinguished academic and researcher in the domain of Computer Science. Holding a M.S. in Computer Engineering  from University of Islamic Azad University, Najafabad Branch, Iran , their professional journey exemplifies dedication and expertise. 📚

🌐 Professional Profiles:

🌟 Areas of Specialization:

Data mining , Programming (C#, python, C, C++, SQL)

🎓 Educational Background:

M.S. in Computer Engineering from University of Islamic Azad University, Najafabad Branch, Iran 2016 B.S. in Computer Engineering from University of Islamic Azad University, Najafabad Branch, Iran 2009

💼 Employment :

Associate Professor at Islamic Azad University, of Najafabad , Department of data mining.

👨‍🏫 Teaching Experience:

Data mining ,Database,Database lab, Software engineering,Systems analysis, Programming, Algorithm design.

📚 Publications

Razieh Davashi has contributed 6 papers in their field.

Razieh Davashi’s citation metrics and indices from Google Scholar are as follows:

📊 Citation Metrics (Google Scholar):

  • Cited by: All – 29, Since 2018 – 29
  • h-index: All – 3, Since 2018 – 3
  • i10-index : All -1 Since 2018 -1

🔍 Top Noted Publication:

1.ILUNA: Single-pass incremental method for uncertain frequent pattern mining without false positives  Paper Published in January 2021 Cited by11

2.UP-tree & UP-Mine: A fast method based on upper bound for frequent pattern mining from uncertain data  Paper Published in

3.EFP-tree: An efficient FP-tree for incremental mining of frequent patterns Paper Published  2019

4.ITUFP: A fast method for interactive mining of Top-K frequent patterns from uncertain data Paper published In 2013

5.IME: Efficient list-based method for Incremental mining of Maximal Erasable patterns Paper Published in  January 2023

6.Erratum to “ILUNA:: Single-pass incremental method for uncertain frequent pattern mining without false positives”[Inf. Sci. 564 (2021) 1–26] Paper published in 2022

🌱🌍Razieh Davashi is a versatile physicist dedicated to pushing the boundaries of knowledge in Razieh Davashi , contributing extensively to research and academia. 🚀