Assoc Prof Dr. Lun Zhao | AI in Network Award | Best Researcher Award

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Assoc Prof Dr. Lun Zhao | AI in Network Award | Best Researcher Award

Assoc Prof Dr. Lun Zhao, Shenzhen Polytechnic University, China

Dr. Lun Zhao, a distinguished academic and researcher at Shenzhen Polytechnic University, China šŸ‡ØšŸ‡³, holds dual Ph.D. degrees in Mechanical Engineering from Blekinge Institute of Technology, Sweden, and in Mechanical and Electrical Engineering from Kunming University of Science and Technology, China šŸŽ“. As a Distinguished Associate Researcher at the Institute of Intelligent Manufacturing Technology since 2022, Dr. Zhao has made significant strides in intelligent manufacturing, publishing over 70 academic papers, including 8 in JCR Area 1 journals šŸ“š. He has also been granted 4 authorized invention patents. Dr. Zhao leads the Intelligent Connection New Technology R&D Team and directs several key research centers. His outstanding contributions have earned him recognitions such as the Shenzhen Overseas High-Level Talent Introduction ā€œPeacock Plan Category Cā€ šŸ†. He has also hosted and participated in numerous research projects worth over 10 million RMB, demonstrating his expertise and leadership in the field šŸŒŸ.

šŸŒ Professional Profile:

Scopus

šŸŽ“ Educational Background

  • Ph.D. in Mechanical Engineering: Blekinge Institute of Technology, Sweden (2015.12-2017.1)
  • Ph.D. in Mechanical and Electrical Engineering: Kunming University of Science and Technology, China (2012.09-2018.06)

šŸ’¼ Professional Experience

  • Distinguished Associate Researcher: Institute of Intelligent Manufacturing Technology, Shenzhen Polytechnic University (2022.7ā€“present)
  • Secondment: Shenzhen Municipal Science and Technology Innovation Commission Major Special Project Division (2022.12-2023.8)
  • Postdoctoral Fellow: Institute of Integration, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (2020.9ā€“2022.6)
  • Distinguished Associate Professor: School of Mechanical Engineering, Guizhou University (2018.9-2020.7)

šŸ“š Academic Contributions

Dr. Zhao Lun has made significant contributions to the field of intelligent manufacturing. He has published over 70 academic papers, with 8 in JCR Area 1 journals. He has been granted 4 authorized invention patents and has supervised numerous postgraduate students, including 3 postdoctoral, 3 doctoral, and over 30 masterā€™s students.

šŸ† Achievements and Roles

  • Leader: Intelligent Connection New Technology R&D Team
  • Director: Shenzhen Vocational College-Guangzhou Xindongli Ultrasonic Welding R&D Center
  • Director: Shenzhen Vocational College-Guangdong Haimingsheng Intelligent Connection Joint Laboratory
  • Postdoctoral Supervisor
  • External Tutor: Tsinghua University Shenzhen International Graduate School

šŸŒŸ Recognitions and Awards

  • Shenzhen Overseas High-Level Talent Introduction ā€œPeacock Plan Category Cā€
  • Hosted and participated in research projects: Worth over 10 million RMB, including the 2022 National Key R&D Plan of the Ministry of Science and Technology, National Natural Science Foundation Youth Fund Project, China Postdoctoral Fund General Project, and Shenzhen High-end Talent Scientific Research Startup Project.

Publication Top Notes:

  • Numerical and experimental investigation of an Archimedes screw turbine for open channel water flow application
  • A Deep Convolutional Neural Network-Based Method for Self-Piercing Rivet Joint Defect Detection
  • Mechanical properties of ultrasonic welded and self-piercing riveted joints in a 5A06 aluminum alloy and a TA1 titanium alloy
  • Influence of Patterns on Mechanical Properties of Ultrasonically Welded Joints in Copper Substrate and Wire
  • Numerical study on the injection strategy on combustion and emission characteristics of a non-road diesel engine under different altitude conditions

 

 

 

 

Dr. Venkata Lakshmi S | AI in Networking | Women Researcher Award

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Dr. Venkata Lakshmi S | AI in Networking | Women Researcher Award

Dr. Venkata Lakshmi S, Sri Krishna College of Engineering and Technology, India

Dr. Venkata Lakshmi S, a seasoned professional with 20 years of experience, currently serves as the Professor and Head of the Department of Artificial Intelligence and Data Science at Sri Krishna College of Engineering and Technology, Coimbatore. Holding a Ph.D. in Computer Science and Engineering from Manonmaniam Sundaranar University, she has contributed significantly to academia with roles such as Assistant Professor and Head of the Department in esteemed institutions. Dr. Venkata Lakshmi has a diverse portfolio of subjects she has taught, including Data Warehousing, Cryptography, Wireless Sensor Networks, and more. Her research interests span machine learning, image processing, and AI applications in diverse fields. She has guided numerous impactful projects, ranging from agricultural crop yield prediction to breast cancer detection using advanced technologies. Apart from her academic prowess, Dr. Venkata Lakshmi actively engages with industry through MOUs, internships, and campus connect lectures. Her commitment to quality education is evident through her roles as a mentor, evaluator, and active involvement in various academic committees and initiatives.

šŸŒĀ Professional Profiles :

Google Scholar

šŸ“š Education:

  • Ph.D. in Computer Science and Engineering from Manonmaniam Sundaranar University (2011-2018)
  • M.E. in Computer Science and Engineering from Dr.MGR Deemed University, Chennai (2003-2005)
  • B.E. in Computer Science and Engineering from The Indian Engineering College, Manonmaniam Sundaranar University, Tirunelveli (1995-1999)

šŸ‘©ā€šŸ’¼ Professional Experience:

  • Professor and Head of the Department at Sri Krishna College of Engineering and Technology, Coimbatore (July 2020 – Present)
  • Assistant Professor Grade I at Panimalar Institute of Technology, Chennai (May 2014 – April 2020)
  • Assistant Professor at Vel Tech Dr.RR & Dr.SR Technical University, Chennai (January 2006 – May 2013)
  • Lecturer at various esteemed institutions from 1999 to 2006

šŸ” Projects:

  • Voice and Video Conferencing Security
  • Agricultural Crop Yield Prediction
  • Bitcoin Prognosis
  • Secure Visual Authentication using QR Code

šŸŽ“ Guided Projects:

  • Machine Learning for Agricultural Crop Yield Prediction
  • Linear Support Vector Machine for Chronic Kidney Disease
  • Sentiment Analysis using Contextual Based Approaches

šŸ“œ Certifications:

  • “A Crash Course in Data Science” – Coursera
  • “Data Science for Engineers” – NPTEL
  • “Data Warehousing and Business Intelligence” – Coursera
  • “AI for Everyone” – Coursera
  • “Oracle Cloud Infrastructure Foundations 2021 certified Associate” – Oracle

šŸ’» Programming Languages:

  • C, C++
  • VB, .NET, MS-Access, SQL Server

šŸ¤ Industry Interaction:

  • MoU with Payoda
  • Internships for students with Payoda and DeepVisionTech.AI
  • Campus Connect Lectures with DeepVisionTech.AI

šŸŒ Additional Responsibilities:

  • Social and Media Coordinator for Toycathon
  • Chief Editor of Magazine BUZZ
  • Incharge of NAAC criteria 3
  • Question Paper Setter for premier institutions
  • Coordinator for various committees, including ECell and Quality Improvement Cell

šŸŒŸ Achievements:

  • Recognized as a mentor and expert in various national initiatives
  • Actively involved in enhancing student learning experiences through industry collaborations and innovative projects.

Publications Top NotesĀ  :

  1. “A Review study of E-waste management in India”
  2. “Query optimization using clustering and genetic algorithm for distributed databases”
  3. “Combined effect of biopriming and polymer coating on chemical constituents of root exudation in chilli (Capsicum annuum L.) cv. K 2 seedlings”
  4. “Micropropagation and in vitro flowering of an ornamental aquarium plant Lindernia antipoda (L.) Alston”
  5. “Sinonasal schwannoma with secondary changes”