Kanika | Machine Learning | Best Researcher Award

Ms. Kanika, National institute of technology Agartala, India.

Ms. Kanika, hailing from Hasanpur, Haryana, is an enthusiastic researcher with a strong passion for applied mathematics and advanced computing technologies . Her expertise spans optimization, uncertainty theory, numerical analysis, graph theory, artificial intelligence , and machine learning. With an M.Sc. in Mathematics and Computing from NIT Agartala, where she ranked 6th, and a B.Sc. in Mathematics, Physics, and Computer Science from Banasthali Vidyapith, she has consistently demonstrated academic excellence. Kanika is driven to solve real-life problems through mathematics and is currently working on a machine-learning research paper while aspiring to contribute to computational imaging and AI.

Publication Profiles

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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

Mr. Heng Luo, The Hong Kong Polytechnic University, Hong Kong

Heng Luo is a distinguished researcher and PhD candidate at The Hong Kong Polytechnic University, specializing in the Institute of Textiles and Clothing since January 2021. His academic journey is marked by diverse and rich experiences across several prestigious institutions. Heng holds a Master’s degree in Electronic Engineering from the University of Electronic Science and Technology of China, completed in 2013, followed by another Master’s degree from the same institution in 2016, focusing on the Department of Industrial and Systems Engineering. Additionally, he earned an MSc from the University of Warwick’s Manufacturing Group. Heng’s research interests span across smart hardware, artificial intelligence, flexible devices, robotics, signal processing, cloud computing, and edge computing. His dedication to advancing technology is reflected in his active memberships with the Institution of Engineering and Technology and the IEEE, where he also contributes as a member of the Young Professionals group. His contributions to the field are recognized on platforms such as SciProfiles and ORCID, showcasing his commitment to connecting research and researchers worldwide. Heng Luo’s work exemplifies the integration of interdisciplinary knowledge and innovative thinking, driving forward the frontiers of technology and engineering

Education:

🎓 PhD, The Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Kowloon, Hong Kong (2021 – Present)

🎓 MSc, Warwick Manufacturing Group, The University of Warwick, Coventry, West Midlands, UK (2013 – 2016)

🎓 MSc, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong (2013 – 2016)

🎓 Master Degree, Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China (2012 – 2013)

🎓 Bachelor Degree, Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China (2008 – 2012)

Publication top Notes: