Shilpa Ghode| systems| Best Researcher Award

Published on by Global CAD Awards

Prof.Shilpa Ghode| systems| Best Researcher Award

Prof, Shilpa Ghode,Indian Institute of Information Technology, Nagpur, India

Prof. Shilpa Ghode is a faculty member at the Indian Institute of Information Technology (IIIT), Nagpur, India. With a strong academic background and expertise in her field, she contributes significantly to the institution’s teaching and research activities. Prof. Ghode is involved in various academic initiatives, promoting excellence in information technology and fostering innovation among students. She plays a vital role in shaping the next generation of IT professionals and researchers.

Summary:

Prof. Shilpa D. Ghode is a highly qualified candidate for the Research for Best Researcher Award, possessing extensive teaching experience, a solid academic background, and a diverse technical skill set. Her leadership in various educational roles and commitment to student success are commendable. However, she could benefit from focusing on increasing her research output, enhancing networking and collaboration, improving grant writing skills, and staying current with technological advancements.

Professional Profiles:

Scopus

🎓 Education :

Ph.D.: Pursuing at IIIT, Nagpur,M.Tech.: VNIT, Nagpur (2011) – CGPA: 7.36,B.E.: Nagpur University (2003) – 62.56% (First Division),Diploma: Maharashtra State Board of Technical Education (2000) – 66.63% (First Division),SSC: Maharashtra Board (1997) – 61.06% (First Division)

🏢 Experience:

Total Teaching Experience: 18 Years,Assistant Professor, G.H. Raisoni College of Engineering (03/11/2023 – Present),Assistant Professor (UGC approved), Kavikulguru Institute of Technology and Science, Ramtek (31/06/2006 – 02/11/2022),Lecturer, Yashvantrao Chavan College of Engineering (04/07/2005 – 30/04/2006)

🛠️Skills:

Programming Languages: Python, JAVA, PL/SQL, C, C++,Operating Systems: Windows 10, 2000, XP, Ubuntu,Database: ORACLE,Certifications: Salesforce Certification

Research Focus :

My research is focused on deep reinforcement learning, energy management systems for hybrid electric vehicles, IoT-based home automation, and high utility pattern mining algorithms.

Conclusion:

In conclusion, Prof. Shilpa D. Ghode is well-suited for the Research for Best Researcher Award due to her dedication to education and her robust skill set. By addressing areas for improvement, she can further enhance her contributions to the field and maximize her impact on both students and research initiatives at the Indian Institute of Information Technology, Nagpur.

Publications :

  • Publication Title: Deep Dyna Reinforcement Learning Based Energy Management System for Solar Operated Hybrid Electric Vehicle Using Load Scheduling Technique
    Authors: Ghode, S.D., Digalwar, M.
    Journal: Journal of Energy Storage
    Year: 2024
    Volume: 102
    Article Number: 114106
    Citations: 0

 

  • Publication Title: A Novel Model Based Energy Management Strategy for Plug-in Hybrid Electric Vehicles Using Deep Reinforcement Learning
    Authors: Ghode, S., Digalwar, M.
    Conference: ACM International Conference Proceeding Series
    Year: 2023
    Pages: 289–293
    Citations: 0

 

  • Publication Title: A Novel Approach to Design Home Automation Using IoT Applications
    Authors: Dubey, P., Chourasia, H., Ghode, S.
    Conference: 2023 International Conference on Advancement in Computation and Computer Technologies (InCACCT 2023)
    Year: 2023
    Pages: 801–806
    Citations: 5

 

                                                                                                                                                                                                                                                                                                                                                                                                                 

Qi Liu| Machining and control| Best Researcher Award

Published on by Global CAD Awards

Dr . Qi Liu| Machining and control| Best Researcher Award

Dr.Qi Liu ,Wuhan university of technology,China

Dr. Qi Liu is a distinguished professor at the Wuhan University of Technology in China. His research focuses on advanced materials, particularly in the fields of nanotechnology and materials science. Dr. Liu has made significant contributions to the development of innovative materials with applications in various high-tech industries. He has published extensively in top-tier scientific journals and has been recognized with numerous awards for his groundbreaking work. Dr. Liu is also actively involved in collaborative projects and international conferences, furthering the global impact of his research.

 

Professional Profiles:

Orcid

Education :

Doctoral Joint Training
Engineering College, Hokkaido University, Sapporo, Japan
10/2022 – 10/2023,Ph.D. in Engineering
School of Mechanical & Electronic Engineering, Wuhan University of Technology, Wuhan, China,09/2019 – 10/2023,Master of Engineering,School of Mechanical & Electronic Engineering, Wuhan University of Technology, Wuhan, China,09/2017 – 06/2019

Experience:

  • Lecturer
    Wuhan University of Technology

Honord And Awards:

  • Excellent Scholarship for Doctor
    Wuhan University of Technology
    2019, 2020, 2021

Patents:

  • A dual motor synchronous control method and equipment based on time-varying friction compensation. Patent number: ZL202110014478.X.
  • CNC machine tool positioning error prediction and compensation method, system, and storage medium. Patent number: ZL202010398295.8.
  • Positioning error compensation software of NC machine tool based on BECKHOFF motion controller V1.0. Authorized Number: 2021SR0125789.
  • Control system software of precision double drive grinding wheel machine V1.0. Authorized Number: 2018SR571925.

Publications :

    • Liu, Q., Lu, H., Yonezawa, H., Yonezawa, A., Kajiwara, I., Wang, B. (2023). Grey wolf optimization algorithm-based tuned P-PI cascade controller for dual ball screw feed drive systems. Mathematics.
    • Liu, Q., Lu, H., Zhang, X., Qiao, Y., Yu, J., Dou, H., Zhang, Y. (2022). A method to improve position accuracy for dual-drive feed machines by state-dependent friction compensation. PART B-Journal of Engineering Manufacture.
    • Lu, H., Liu, Q., Zhang, X., Qiao, Y., Yu, J., Dou, H., Zhang, Y. (2021). Dynamic characteristics and research on the dual-drive feed mechanism. PART C-Journal of Mechanical Engineering Science.
    • Liu, Q., Lu, H., Zhang, X., Qiao, Y. (2021). Research on positioning error compensation of gantry mobile dual-drive feed system. Huazhong University of Science and Technology (Natural Science Edition).
    • Liu, Q., Lu, H., Zhang, X., Qiao, Y., Cheng, Q., Zhang, Y., Wang, Y. (2020). A non-delay error compensation method for dual-driving gantry-type machine tool. Processes, 8(7), 748.
    • Lu, H., Cheng, Q., Zhang, X., Liu, Q., Qiao, Y., Zhang, Y. (2020). A novel geometric error compensation method for gantry-moving CNC machine regarding dominant errors. Processes, 8(8), 906.
  • Conference Papers
    • Dou, H., Lu, H., Wang, S., Liu, Q. (2021). Research on synchronous control of gantry-type dual-driving feed system based on fuzzy single neuron PID cross-coupled controller. 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC).