Ms. Minakshi-Boruah-Deep Learning-Women Researcher Award
National Institute of Technology-India
Author Profile
Early Academic Pursuits
Ms. Minakshi Boruah embarked on her academic journey with zeal and determination, laying the foundation for her future endeavors. Excelling in her studies from an early age, she demonstrated exceptional prowess in various subjects, particularly excelling in science and mathematics. Her consistent performance earned her recognition, notably securing the second position in the All India Secondary School Examination (AISSE) at her school in Jamnagar, Gujarat. This early academic success served as a precursor to her subsequent achievements, setting a high standard for her future endeavors.
Professional Endeavors
Transitioning from her stellar academic performance, Ms. Minakshi Boruah delved into the realm of higher education, pursuing a Bachelor of Technology in Computer Science and Engineering from Ambala College of Engineering and Applied Research, affiliated with Kurukshetra University. Here, she honed her technical skills, delving into various aspects of computer science, from programming and data structures to software engineering. Her academic journey continued with a Master of Technology in Computer Science and Engineering from Dr. B R Ambedkar National Institute of Technology, Jalandhar, where she further specialized in her field of interest.
Contributions and Research Focus
Ms. Minakshi Boruah journey is marked by a relentless pursuit of knowledge and innovation, evident in her extensive research contributions. Her research focus primarily revolves around leveraging advanced technologies, such as artificial intelligence and deep learning, to address critical challenges in healthcare and bioinformatics. Her notable contributions include the development of a modified segmentation algorithm for iris recognition and the identification of DNA motifs using innovative computational methodologies. Through her research endeavors, Minakshi strives to bridge the gap between technology and healthcare, pioneering solutions that have the potential to revolutionize clinical research and diagnostics.
Accolades and Recognition
Ms. Minakshi Boruah contributions have been widely recognized and acclaimed, garnering numerous accolades and honors throughout her academic and professional journey. From securing prestigious awards for her research papers to receiving certifications for her technical expertise, she has consistently distinguished herself as a trailblazer in her field. Notably, her paper on "Transfer Learning-Based Advanced Deep Learning Architecture for the Identification of HIV-1 Integration Sites Using Imbalanced Dataset" received the Best Paper Award at the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) in 2022, underscoring the significance of her research contributions.
Impact and Influence
Ms. Minakshi Boruah influence extends beyond her individual achievements, encompassing her role as a mentor, educator, and advocate for technological innovation. As an Assistant Hostel Warden at the National Institute of Technology, Mizoram, she plays a pivotal role in nurturing and guiding the next generation of aspiring technologists. Her active participation in workshops, conferences, and academic initiatives underscores her commitment to knowledge dissemination and community engagement, inspiring others to pursue excellence in their respective fields.
Legacy and Future Contributions
Looking ahead, Ms. Minakshi Boruah remains steadfast in her commitment to advancing the frontiers of technology and research. With a keen focus on exploring the intersection of artificial intelligence, healthcare, and bioinformatics, she aspires to develop transformative solutions that address pressing societal challenges. Her enduring legacy lies not only in her individual achievements but also in the indelible impact she continues to make within the academic and scientific community. As she continues to push the boundaries of innovation, Minakshi's contributions are poised to shape the future landscape of technology and healthcare, leaving a lasting legacy for generations to come.
Notable Publication
- CaDenseNet: a novel deep learning approach using capsule network with attention for the identification of HIV-1 integration site
- MLCapsNet+: A multi-capsule network for the identification of the HIV ISs along important sequence positions
- Transfer Learning-Based Advanced Deep Learning Architecture for the Identification of HIV-1 Integration Sites Using Imbalanced Dataset
- Developments Pertaining to the Characteristics of the Sites of HIV Integration Highlighting its role in Clinical Research and its Future with AI: A Review
- Identification of DNA motif using likelihood and attention based pooling method in the GRU framework