Ms. Devinder Kaur | Computer Science | Women Researcher Award

Ms. Devinder Kaur | Computer Science | Women Researcher Award 

Ms. Devinder Kaur, Mata Gujri College, India

Dr. Devinder Kaur is an experienced academician currently serving as an Assistant Professor in the Department of Computer Applications at Mata Gujri College, Fatehgarh Sahib, with over 20 years of teaching experience. She holds a Bachelor’s degree in Computer Applications from Punjabi University, Patiala, and a Master’s degree in Computer Applications from Punjab Technical University, Jalandhar. She is presently pursuing her Ph.D. in Computer Science at Sri Guru Granth Sahib World University, Fatehgarh Sahib. Dr. Kaur has authored two academic books—A Practical Approach to Java Programming and An Introduction to System Software—and contributed numerous research papers and book chapters in both national and international journals and conference proceedings. Her recent research interests focus on IoT and machine learning applications in livestock health monitoring, cybersecurity, environmental sustainability, and green computing. She has also actively participated in national-level conferences, addressing critical topics like social media addiction, privacy concerns, and e-waste management. Dr. Kaur’s scholarly contributions reflect her dedication to bridging practical technology with real-world challenges in both academic and agricultural domains.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

Summary of Suitability for Women Researcher Award 

Dr. Devinder Kaur is a highly qualified and accomplished academic with over 20 years of teaching experience in Computer Science, currently serving as an Assistant Professor at Mata Gujri College, Fatehgarh Sahib. She holds Bachelor’s and Master’s degrees in Computer Applications and is currently pursuing her Ph.D. in Computer Science from Sri Granth Sahib World University, highlighting her continuous academic advancement.

🎓 Education

  • 🎓 Bachelors of Computer Applications (BCA) from Punjabi University, Patiala.

  • 🎓 Masters of Computer Applications (MCA) from Punjab Technical University, Jalandhar.

  • 📚 Pursuing PhD in Computer Science from Sri Granth Sahib World University, Fatehgarh Sahib.

👩‍🏫 Work Experience

  • 🏫 Assistant Professor at Mata Gujri College, Fatehgarh Sahib.

  • 📅 20 years of teaching experience in the field of Computer Science.

🏆 Achievements, Awards & Honors

  • 📖 Published Books:

    • “A Practical Approach to Java Programming” – 📘 Unistar Books Pvt Ltd (2018)

    • “An Introduction to System Software” – 📗 Narosa Publishing House (2020)

  • 📝 Research Contributions:

    • 📚 Multiple book chapters and conference papers on topics such as:

      • Green Computing 🌱

      • Social Media Psychology 📱

      • E-Waste Management ♻️

      • IoT and Machine Learning in Livestock Health 🐄💡

      • Breast Cancer Classification Using ML 🎗️🧠

  • 🔗 Featured in IEEE, Auerbach Publications, and peer-reviewed journals like Discover Internet of Things, IJIRAE, Journal of Electrical Systems.

  • 🌐 Contributed to multidisciplinary and international conferences on smart tech, computing trends, and innovative research in AI & IoT.

Publication Top Notes:

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Assoc. Prof. Dr. Jiahao Liu | Neuromorphic Devices Awards | Best Researcher Award

Assoc. Prof. Dr. Jiahao Liu | Neuromorphic Devices Awards | Best Researcher Award

Assoc. Prof. Dr. Jiahao Liu, National University of Defense Technology, China

Liu Jiahao is an Associate Researcher in the Department of Nanoscience at the National University of Defense Technology, where he specializes in nano-optoelectronic intelligent information devices. He earned his Ph.D. in Electronic Science and Technology from the College of Computer Science at the same university, under the supervision of Researcher Fang Liang. His academic journey also included joint training at Tsinghua University in Physics. Liu has actively contributed to the scientific community as an expert reviewer for the National Natural Science Foundation of China and as a reviewer for prestigious international publishers such as IEEE and IET. Currently, he leads multiple research projects funded by national science foundations, focusing on the dynamics of skyrmions and their applications in neuromorphic computing, alongside other innovative studies in nanotechnology. Born in Xiangyang, Hubei, and a dedicated Party member, Liu is committed to advancing research in the field of nanoscience and its applications in modern technology.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Liu Jiahao

Liu Jiahao is an accomplished researcher in the field of electronic science and technology, with a strong focus on nano-optoelectronic intelligent information devices. His academic journey, impressive publication record, and active involvement in cutting-edge research projects highlight his qualifications for the Best Researcher Award.

Education

Ph.D. in Electronic Science and Technology
National University of Defense Technology
February 2020 – December 2022

  • Advisor: Researcher Fang Liang
  • Joint Training:
    • Department of Physics, Tsinghua University
    • November 2020 – September 2022
    • Advisor: Associate Professor Jiang Wanjun
    • Specialization: Physics

Work Experience

Lecturer
Department of Nanoscience, College of Frontier Interdisciplinary Science
National University of Defense Technology
December 2022 – December 2023

Associate Researcher
Department of Nanoscience, College of Frontier Interdisciplinary Science
National University of Defense Technology
December 2023 – Present

Publication top Notes:

Linear Weight Update Synaptic Responses in Ferrimagnetic Neuromorphic Devices

Ferrimagnet-Based Neuromorphic Device Mimicking the Ventral Visual Pathway for High-Accuracy Target Recognition

Skyrmionium creation and annihilation: Experimental and micromagnetic simulation demonstration

Electrical detection of mobile skyrmions with 100% tunneling magnetoresistance in a racetrack-like device

On-chip skyrmion synapse regulated by Oersted field

Skyrmions in nanorings: A versatile platform for skyrmionics