Kanika | Machine Learning | Best Researcher Award
Ms. Kanika, National institute of technology Agartala, India.
Publication Profiles
Googlescholar
Education and Experience
Education 
- M.Sc. in Mathematics and Computing (2021–2023), NIT Agartala: 89.5%, 8.95/10, Rank:
- B.Sc. in Mathematics, Physics, and Computer Science (2017–2020), Banasthali Vidyapith: 85.8%, 8.58/10
- Senior Secondary Examination (2016–2017), Board of School Education Haryana: 85.0%
- Secondary Examination (2014–2015), Board of School Education Haryana: 91.4%
Experience 
- M.Sc. Thesis (2022–2023) at NIT Agartala: Focused on portfolio optimization under uncertainty
.
Suitability For The Award
Ms. Kanika is an exceptional candidate for the Best Researcher Award, showcasing a strong academic foundation, innovative research contributions, and a deep commitment to advancing applied mathematics, machine learning, and artificial intelligence. Her dedication to leveraging mathematical and computational tools for solving real-world problems highlights her potential to make a significant impact in her field.
Professional Development
Kanika’s professional journey showcases her dedication to research and continuous learning . She has gained expertise in machine learning
, MATLAB
, and scientific computing
. Her technical skills extend to programming languages like C/C++ and database management systems
. As a mathematics enthusiast, she has completed rigorous training programs like the Mathematics Training and Talent Research (MTTS) and the National Mathematics Talent Contest
. She actively participates in workshops and online programs, enhancing her skills in cutting-edge mathematical technologies
. Kanika is also a certified karateka
, showcasing her versatile interests beyond academics.
Research Focus
Ms. Kanika’s research interests lie at the intersection of applied mathematics and emerging technologies . Her focus areas include optimization
, uncertainty theory, numerical analysis, graph theory, machine learning
, and artificial intelligence. She aims to bridge theoretical mathematics with practical computing applications
, contributing to fields like computational imaging and decision-making under uncertainty. Currently working on a machine-learning research paper
, Kanika aspires to tackle real-life problems
using her expertise in applied mathematics and AI. Her passion for solving complex problems drives her to explore innovative solutions in these interdisciplinary domains.
Awards and Honors
- IIT JAM 2021
: All India Rank 2169 (Mathematical Sciences).
- MTTS Level 1
: Selected in the top 20 students, IISER Thiruvananthapuram (2020).
- Banaras Hindu University Entrance Exam
: All India Rank 363 (Mathematical Sciences, 2020).
- Common Entrance Exam (CEE) by NCERT
: State Rank 63 (General), NCERT (2017).
- National Mathematics Talent Contest
: Top 10%ile, Junior Level Screening Test, AMTI (2014).
- Certified Karateka
: 8th, 7th, and 6th Kyu (Blue Belt), JKMO (2018).
- Olympic Value Education Program Ambassador
: Honored by Banasthali Vidyapith (2017).
Publication Top Notes
-
Tools and techniques for teaching computer programming: A review – Journal of Educational Technology Systems, 2020, Cited by: 88
-
Effect of different grouping arrangements on students’ achievement in collaborative learning – Interactive Learning Environments, 2023, Cited by: 12
-
Genetic algorithm‐based approach for making pairs and assigning exercises in programming – Computer Applications in Engineering Education, 2020, Cited by: 8
-
Enriching WordNet with subject-specific out-of-vocabulary terms using ontology – Data Engineering for Smart Systems, 2022, Cited by: 6
-
KELDEC: A recommendation system for extending classroom learning with visual cues – Proceedings of SSIC, 2019, Cited by: 6
-
VISTA: A teaching aid to enhance contextual teaching – Computer Applications in Engineering Education, 2021, Cited by: 3
-
Linking classroom studies with dynamic environment – International Conference on Computing, Power and Communication, 2019, Cited by: 2
-
Effect of varying the size of the initial parent pool in genetic algorithm – International Conference on Contemporary Computing and Informatics, 2014, Cited by: 2
-
A review of English to Indian language translator: Anusaaraka – International Conference on Advances in Computer Engineering & Applications, 2014, Cited by: 2