Ms. Pooja Lalwani - Robotics - Best Researcher Award
VIT Bhopal University - India
Author Profile
Early Academic Pursuits
Ms Pooja Lalwani embarked on her academic journey with a Bachelor of Science (B.S.) in Information Technology from Lakshmi Narain College of Technology & Science, Bhopal, graduating in June 2015. This foundational step laid the groundwork for her subsequent educational endeavors. Following this, she pursued a Master of Science (M.S.) in Computer Science at Sagar Institute of Research & Technology, Bhopal, graduating in December 2020. These formative years honed her understanding of computer science principles and provided her with the necessary skills to excel in her field.
Professional Endeavors
Ms Pooja's professional journey is marked by her dedication to leveraging her expertise for the betterment of businesses. She has demonstrated proficiency in various areas such as supervision, leadership, teaching, and dancing. Her adaptability and resourcefulness have enabled her to thrive in both individual and team settings. Her commitment to excellence is exemplified by her pursuit of a Doctor of Philosophy (Ph.D.) in Computer Science at VIT Bhopal University, with an expected graduation date in August 2024. This pursuit underscores her passion for continual learning and professional growth.
Contributions and Research Focus
Ms Pooja's research interests lie at the intersection of computer science and human activity recognition. Her publication in the journal Applied Soft Computing, titled "Human activity recognition using a multi-branched CNN-BiLSTM-BiGRU model," demonstrates her commitment to advancing the field through innovative approaches. Additionally, her works under review in journals such as Neural Computing and Pervasive and Mobile Computing signify her ongoing contributions to cutting-edge research in her field. Through her academic pursuits and publications, Pooja has made significant contributions to the field of computer science, particularly in the realm of human activity recognition.
Accolades and Recognition
Ms Pooja's dedication and contributions have not gone unnoticed. Her publication in Applied Soft Computing, with an impressive Impact Factor of 8.7, showcases the caliber of her research. Furthermore, her works under review in esteemed journals like Neural Computing and Pervasive and Mobile Computing speak to the recognition she has garnered within the academic community. These accolades underscore her proficiency and expertise in her chosen field, highlighting her as a promising researcher and scholar.
Impact and Influence
Ms Pooja's research endeavors have the potential to have a significant impact on various domains, including healthcare, security, and human-computer interaction. By developing novel approaches to human activity recognition, she is contributing to the advancement of technologies that can enhance safety, efficiency, and quality of life for individuals worldwide. Her work has the potential to shape the future of computer science research and application, making her a valuable asset to the academic community and beyond.
Legacy and Future Contributions
As Ms Pooja continues her academic journey and research pursuits, her legacy is bound to leave a lasting impression on the field of computer science. Through her innovative research, dedication to excellence, and passion for continual learning, she is poised to make significant contributions that will shape the future of the discipline. Her commitment to pushing the boundaries of knowledge and technology underscores her potential to leave a profound and enduring impact on academia and society as a whole. As she progresses in her career, Pooja's future contributions are eagerly anticipated, promising further advancements and insights in the field of computer science.
Notable Publication
- Human activity recognition using a multi-branched CNN-BiLSTM-BiGRU model (2024)
- Applied Soft Computing with 8.7 Impact Factor, Elsevier, Title:- Human activity recognition using a multi-branched CNNBiLSTM-BiGRU model
- Neural Computing with 6 Impact Factor, Springer (Under Review)
- Pervasive and Mobile Computing with 4.3 Impact Factor, Elesvier (Under Review)