Kamalpreet Kaur | Machine Learning | Best Researcher Award

Dr. Kamalpreet Kaur | Machine Learning | Best Researcher Award

Lovely Professional University- India

Author Profile

🎓📘Early Academic Pursuits 

Dr. Kamalpreet Kaur’s academic journey began at Swami Sant Dass Public School, where she completed her matriculation in 2003-2004 with a score of 66.66% and her intermediate education in 2005-2006 with an impressive 72%. Her passion for computer science led her to pursue a Bachelor of Technology (B-TECH) in Computer Science and Engineering from Guru Nanak Dev University, Amritsar, where she graduated in 2010 with a score of 70%. Following this, she completed her Master of Technology (M-TECH) in Computer Science and Engineering from the same university in 2013, achieving a CGPA of 7.61. Dr. Kaur is currently pursuing her Ph.D. at Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, demonstrating her unwavering commitment to advancing her knowledge and expertise in the field of computer science.

🏫💼Professional Endeavors 

Dr. Kamalpreet Kaur has amassed substantial teaching experience over the years. Her professional journey began at Lovely Professional University, where she served as a lecturer in the Computer Science Department from February 2010 to August 2011. During her tenure, she was responsible for a heavy teaching load of around 24 hours per week, ensuring high standards of teaching, participating in seminars, presenting papers at conferences, organizing events, and handling various administrative duties.In August 2013, Dr. Kaur joined Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, as an Assistant Professor in the Computer Science Department. Here, she continued her teaching endeavors with a load of 20 hours per week and engaged in various roles, such as acting as an academic advisor to B-TECH and M-TECH students, co-mentoring B-TECH projects, and co-supervising M-TECH theses. She also played a significant role in organizing conferences and seminars, furthering the reputation of the institution.

🔬📚Contributions and Research Focus 

Dr. Kaur has made significant contributions to the field of computer science through her research and academic work. She has presented and published papers at various prestigious conferences, such as the 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC). Her paper titled “Transfer Learning Approach for Analysis of Epochs on Handwritten Digit Classification” is a notable example of her research in the application of machine learning and deep learning techniques.Dr. Kaur’s research interests encompass a wide range of topics, including machine learning with MATLAB and Python, Oracle, MongoDB, and Latex. She has guided numerous B-TECH projects in areas such as audio steganography, phone tally tracking of lost Android devices, online voting systems, and enhanced secure web browsers. Her expertise and dedication to research have made her a respected figure in the academic community.

🏅👏Accolades and Recognition 

Throughout her career, Dr. Kamalpreet Kaur has been recognized for her contributions to computer science and engineering. She is a member of the Computer Society of India and has attended and organized various conferences and short-term courses. Her involvement in faculty development programs and workshops, such as those on digital image processing, computer vision, and cloud computing, highlights her commitment to continuous learning and professional development.

🌟📈Impact and Influence 

Dr. Kaur’s impact extends beyond her research and teaching. She has been instrumental in establishing contacts with the wider academic community and engaging in events of interest to alumni. Her work as a mentor and supervisor has shaped the careers of many students, guiding them through complex projects and research endeavors. Her efforts have enhanced the reputation of the institutions she has been associated with and contributed to the advancement of knowledge in computer science.

🏆🔮Legacy and Future Contributions 

Dr. Kamalpreet Kaur’s legacy in the field of computer science is marked by her dedication to teaching, research, and continuous professional development. Her work has left a lasting impact on her students and colleagues, inspiring future generations of computer scientists. As she continues her Ph.D. research, Dr. Kaur is poised to make further significant contributions to her field. Her future endeavors will undoubtedly continue to push the boundaries of knowledge and innovation in computer science, cementing her legacy as a pioneer and leader in her domain.

Citations

A total of 8 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         8
  • h-index           8
  • i10-index        2

Notable Publications 

  • Title: Automatic Detection of Cloudy and Non-Cloudy SAR Images Using Convolutional Neural Networks
    Authors: Siddiq, S., Kaur, K., Dhir, R.
    Journal: ICSCCC 2023 – 3rd International Conference on Secure Cyber Computing and Communications
    Year: 2023
  • Title: PCD-Predicting the Coronavirus using Deep Learning Techniques
    Authors: Kaur, K., Dhir, R.
    Journal: ICSCCC 2023 – 3rd International Conference on Secure Cyber Computing and Communications
    Year: 2023
  • Title: Early Prediction of Stampede In Assemblage
    Authors: Kaur, K., Kumar, R., Kumar, P.
    Journal: 2023 6th International Conference on Information Systems and Computer Networks, ISCON 2023
    Year: 2023
  • Title: Transfer Learning approach for analysis of epochs on Handwritten Digit Classification
    Authors: Kaur, K., Dhir, R., Kumar, K.
    Journal: ICSCCC 2021 – International Conference on Secure Cyber Computing and Communications
    Year: 2021
  • Title: Comparison of threshold proxy signature schemes
    Authors: Verma, H.K., Kaur, K., Kumar, R.
    Journal: Proceedings of the 2008 International Conference on Security and Management, SAM 2008
    Year: 2008.

Nishi Parikh | Machine Learning for Material Science | Best Researcher Award

Dr. Nishi Parikh - Machine Learning for Material Science - Best Researcher Award 🏆

Ola Battery Innovation Centre - India

Professional Profiles

Early Academic Pursuits

Her academic journey began with a Bachelor of Science in Chemistry from St. Xavier’s College, Ahmedabad, Gujarat, where she excelled academically and was awarded a Gold Medal. Her passion for chemistry led her to pursue a Master of Science in Organic Chemistry from Gujarat University, where she achieved a remarkable CGPA of 8.10 and received a Silver Medal. Subsequently, she embarked on her doctoral journey, earning a Ph.D. in Science from the Department of Chemistry at Pandit Deendayal Energy University, Gujarat. Her doctoral research focused on "Redefining the crystallization and characterization of halide perovskite by Machine Learning," showcasing her early engagement with machine learning techniques in material science.

Professional Endeavors

Her professional endeavors reflect her dedication to advancing the field of material science through interdisciplinary research and collaboration. She has contributed significantly to the Ola Battery Innovation Centre in Bangalore, India, leveraging her expertise in machine learning and materials science to drive innovation in battery technology. Her research endeavors have been supported by prestigious fellowships, including the PBEEE Merit Fellowship for research stay at INRS, Quebec, and the Swiss Government Excellence Research Fellowship at ZHAW, Zurich.

Contributions and Research Focus in Machine Learning for Material Science

Her research focuses on the intersection of machine learning and material science, with a particular emphasis on material property prediction, computational materials science, and data-driven materials design. Her doctoral research on halide perovskite crystallization and characterization exemplifies her pioneering work in applying machine learning techniques to address complex challenges in materials research. By harnessing the power of machine learning algorithms, Dr. Parikh aims to accelerate materials discovery processes, optimize material properties, and facilitate the design of novel materials for various applications.

Accolades and Recognition

Her contributions to material science and machine learning have been widely recognized through numerous awards and achievements. She has been awarded prestigious fellowships, including the PBEEE Merit Fellowship and the Swiss Government Excellence Research Fellowship, for her outstanding research contributions. Additionally, her research presentations at international conferences and symposiums have earned her accolades, including the Best Poster Award at the "3rd Gen PV in the developing world" conference organized by Newcastle University, UK.

Impact and Influence

Her research has made a significant impact on the field of material science and machine learning, advancing our understanding of materials behavior and enabling the design of innovative materials with tailored properties. Her interdisciplinary approach and collaborative efforts have led to advancements in battery technology, renewable energy, and sustainable materials. Through her research, Dr. Parikh continues to inspire future generations of scientists and engineers, driving innovation and progress in the field of material science.

Legacy and Future Contributions

As she continues her academic and research endeavors, her legacy is defined by her commitment to excellence, innovation, and interdisciplinary collaboration in material science and machine learning. Her future contributions hold the promise of further advancing our understanding of materials behavior, accelerating materials discovery processes, and revolutionizing various industries through the development of advanced materials with tailored properties. Dr. Parikh's pioneering research serves as a catalyst for transformative change in material science and machine learning, shaping the future of technology and sustainability.

Citations

  • Citations               328
  • h-index                  11
  • i10-index               11

Notable Publications