DEVI Thirupathi | 5G Networks | Women Researcher Award

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Prof. DEVI Thirupathi | 5G Networks | Women Researcher Award

Prof. DEVI Thirupathi, PSG INSTITUTE OF MANAGEMENT, India.

Prof. Devi Thirupathi is an esteemed faculty member at PSG Institute of Management in India, where she specializes in management education and research. With a strong academic background and extensive industry experience, she focuses on areas such as organizational behavior, strategic management, and entrepreneurship. Prof. Thirupathi is dedicated to fostering innovative thinking and leadership skills among her students, contributing to their professional growth. Her research has been published in several reputable journals, reflecting her commitment to advancing knowledge in the field of management.

Summary:

Summary: Prof. Devi Thirupathi exemplifies the qualities of a dedicated researcher and educator. Her strong academic background, extensive industry experience, and focus on nurturing student leadership and innovation make her a significant contributor to the field of management. Her published research reflects a commitment to advancing knowledge, underscoring her suitability for the Research for Women Researcher Award.

 

Professional Profiles:

Google Scholar

šŸŽ“ Education :

Dr. Devi earned her B.Sc. with a Gold Medal from PSGRK College for Women, followed by an MCA from PSG College of Technology, where she was an I Rank Holder. She further advanced her studies with an M.Phil. in Computer Science and a Ph.D. from the University of Warwick, UK, under a Commonwealth Scholarship.

šŸ¢Ā Experience:

Prof. Dr. T. Devi brings over 36 years of experience in academia and industry, having served as Professor and Head of the Department of Computer Applications at Bharathiar University. She has held multiple leadership roles, including Director of the Center for Research and Evaluation and Dean of the Faculty of Research. Her early career includes positions as a Software Engineer and Systems Analyst, allowing her to bridge theoretical knowledge with practical application.

šŸ› ļøSkills:

Dr. Devi is also skilled in academic administration, having served as Dean, Director, and Head of multiple departments, which showcases her leadership capabilities and strategic planning skills.

Research Focus :

Her research spans diverse areas, including Database Management Systems, Heterogeneous Databases, Integrated Information Modeling, Industry 4.0 in Education, and Computer Aided Design In Mechanical Engineering. Dr. Devi has supervised numerous M.Phil. and Ph.D. candidates, with 22 Ph.D. completions to her credit and 180 published research papers.

Conclusion:

Conclusions: In conclusion, Prof. Devi Thirupathiā€™s profile aligns well with the criteria for the Research for Women Researcher Award. Her strengths in research and education, combined with her dedication to student development, position her as a role model in academia. By addressing areas for improvement, she can further enhance her impact and legacy as a leader in management research. This award would not only recognize her achievements but also encourage her continued contributions to the field.

Publications :

  1. KP Srinivasan, T Devi (2014). Software metrics validation methodologies in software engineering. International Journal of Software Engineering & Applications, 5(6), 87-66.
  2. V Bala Sundar, T Devi, N Saravanan (2012). Development of a data clustering algorithm for predicting heart.
  3. IJ Maria, T Devi, D Ravi (2020). Machine learning algorithms for diagnosis of leukemia. International Journal of Science and Technology Research, 9(1), 267-270.
  4. S Yeruva, T Devi, YS Reddy (2016). Selection of influential spreaders in complex networks using Pareto Shell decomposition. Physica A: Statistical Mechanics and its Applications, 452, 133-144.
  5. S Balan, T Devi (2012). Design and development of an algorithm for image clustering in textile image retrieval using color descriptors. International Journal of Computer Science, Engineering and Applications, 2(3).
  6. P Ponmuthuramalingam, T Devi (2010). Effective term based text clustering algorithms. International Journal on Computer Science and Engineering, 2(5), 1665-1673.
  7. R Ramkumar, A Tamilarasi, T Devi (2011). Multi criteria job shop schedule using fuzzy logic control for multiple machines multiple jobs. International Journal of Computer Theory and Engineering, 3(2), 282.
  8. R Rajeswari, T Devi, S Shalini (2022). Dysarthric speech recognition using variational mode decomposition and convolutional neural networks. Wireless Personal Communications, 122(1), 293-307.
  9. P Kaliraj, T Devi (2021). Innovating with Augmented Reality. CRC Press, Auerbach Publications, Taylor and Francis.
  10. KP Srinivasan, T Devi (2014). A comprehensive review and analysis on object-oriented software metrics in software measurement. International Journal on Computer Science and Engineering, 6(7), 247.
  11. KP Srinivasan, T Devi (2014). A complete and comprehensive metrics suite for object-oriented design quality assessment. International Journal of Software Engineering and Its Applications, 8(2).
  12. R Balu, T Devi (2012). Design and development of automatic appendicitis detection system using sonographic image mining.
  13. SK Jayanthi, T Devi (2006). Intuitionistic Fuzzy Approach to Enhance Text Documents. 3rd IEEE International Conference on Intelligence Systems.
  14. P Kaliraj, T Devi (2021). Artificial intelligence theory, models, and applications. CRC Press.
  15. V Thiagarasu, T Devi (2009). Multi-agent Co-ordination in Project Scheduling: Priority Rules based Resource Allocation. International Journal of Recent Trends in Engineering (Computer Science), 1.
  16. R Vishnupriya, T Devi (2014). Speech recognition tools for mobile phone – a comparative study. 2014 International Conference on Intelligent Computing Applications, 426-430.
  17. P Kaliraj, T Devi (2022). Big Data Applications in Industry 4.0. CRC Press.
  18. J Sumitha, T Devi (2016). Breast Cancer Diagnosis in Analysis of BRCA Gene Using Machine Learning Algorithms. Pakistan Journal of Biotechnology, 13(4), 231-235.
  19. N Preethi, T Devi (2012). Case and relation (CARE) based page rank algorithm for semantic web search engines. International Journal of Computer Science Issues (IJCSI), 9(3), 329.
  20. ASM Qaed, T Devi (2012). Ant colony optimization based delay and energy conscious routing protocol for mobile Adhoc networks. International Journal of Computer Applications, 41(11), 1-5.

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Shilpa Ghode| systems| Best Researcher Award

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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

šŸŽ“ Education :

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

šŸ¢Ā Experience:

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

šŸ› ļø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: 289ā€“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: 801ā€“806
    Citations: 5

 

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Boris Kerner |Intelligent control systems Award |Outstanding Scientist Award

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Prof.Boris Kerner |Intelligent control systems Award |Outstanding Scientist Award

Prof .Boris Kerner ,University Duisburg-Essen,Germany

Boris S. Kerner is a prominent physicist and traffic researcher based in Germany. He is affiliated with the University of Duisburg-Essen, where he holds the position of Professor. Kerner is renowned for his contributions to the field of traffic flow theory and his development of the three-phase traffic theory, which has significantly advanced our understanding of traffic dynamics and congestion. His work has had a profound impact on transportation engineering and has been widely published in prestigious scientific journals. Kerner continues to conduct groundbreaking research in the field, focusing on improving traffic management and safety on roadways.

 

Professional Profiles:

Scopus

Early Life and Academic Background:

Boris S. Kerner, born in Moscow in 1947, emerged as a significant figure in traffic theory, particularly known for his development of the three-phase traffic theory. Graduating from Moscow Technical University MIREA in 1972, Kerner delved into a diverse array of scientific fields, earning his Ph.D. and Sc.D. degrees from the Academy of Sciences of the Soviet Union in 1979 and 1986, respectively.

Early Career: From Semiconductors to Traffic Dynamics:

During the initial phase of his career spanning from 1972 to 1992, Kerner’s research pursuits were centered around the realms of physics, with a focus on semiconductors, plasma, and solid-state physics. Notably, he made significant contributions to the theory of autosolitons, exploring solitary intrinsic states across various dissipative systems.

Transition to Traffic Research:

In 1992, Kerner shifted his focus towards vehicular traffic, joining Daimler Company in Stuttgart, Germany. His transition marked a pivotal moment in traffic research, as he began unraveling the complexities of traffic dynamics. By the turn of the millennium, Kerner’s work culminated in the formulation of the three-phase traffic theory, providing a comprehensive framework for understanding traffic flow in congested conditions.

Leadership at Daimler and Academic Appointment:

From 2000 to 2013, Kerner assumed the role of Head of Traffic at Daimler, spearheading groundbreaking research initiatives in traffic dynamics. Concurrently, in 2011, he was appointed as a Professor at the University of Duisburg-Essen in Germany, further solidifying his academic prowess in the field.

Retirement and Continued Academic Engagement:

Upon retiring from Daimler in 2013, Kerner redirected his focus towards academia, continuing his research endeavors at the University of Duisburg-Essen. His enduring commitment to unraveling the intricacies of traffic dynamics underscores his lasting impact on the field, cementing his legacy as a pioneering figure in traffic theory.

Publications:

1.Model of driver overacceleration causing breakdown in vehicular traffic

2.Physics of automated-driving vehicular traffic

3.Statistical physics of the development of Kerner’s synchronized-to-free-flow instability at a moving bottleneck in vehicular traffic

4.Physics of microscopic vehicular traffic prediction for automated driving

Physical Review EThis link is disabled.,Ā 2022, 106(4), 044307

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