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

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

Assist. Prof. Dr. Dumitru Radulescu, University of Medicine and Pharmacy Craiova (UMF Craiova), Romania

Dumitru Rădulescu, is a distinguished medical professional and researcher specializing in surgery and medical sciences. He earned his Bachelor’s degree in Medicine from UMF Craiova in 2009, followed by a Doctor of Medical Sciences degree, which he obtained in 2020 under the auspices of the Romanian Ministry of Health. Dr. Rădulescu’s academic journey is marked by his receipt of a competitive doctoral scholarship, highlighting his commitment to advancing his expertise in the medical field. Currently serving as a Specialist Surgeon at the Military Emergency Clinical Hospital “Dr. Ştefan Odobleja” in Craiova, he has accumulated extensive clinical experience through various residency programs in family medicine and general surgery. His professional roles include positions as a University Assistant at UMF Craiova, where he contributes to the education of future healthcare professionals in surgical specialties.

Summary of Suitability for the Top Researcher Award

Dumitru Rădulescu is an accomplished researcher and specialist surgeon whose academic and professional journey highlights his commitment to advancing medical sciences, particularly in the areas of surgery and diagnostics. His education culminated in a Doctor of Medical Sciences degree from UMF Craiova, where he also received a doctoral scholarship, showcasing his academic excellence and dedication to research.

Professional Experience 🏥

Current Position:
University Assistant, Military Emergency Clinical Hospital “Dr. Ştefan Odobleja,” Craiova
2022 – Present

Previous Positions:

University Assistant DRD, Department VI – Surgical Specialties (2018 – 2021)
General Surgery Resident, Clinic I Surgery SCJU no.1 Craiova (2013 – 2018)
Family Medicine Resident, Filantropia Clinical Hospital Craiova (2010 – 2012)

Research Contributions 🔬

Dr. Rădulescu is a dedicated researcher who recently received a grant for his project titled:
“Discovery and validation of a new leukocyte formula marker for predicting mortality in patients with tuberculosis and malnutrition using machine learning.” 🤖
This project highlights his commitment to leveraging modern technology in medical research to address critical health issues.

Publication Top Notes

Enhancing the Understanding of Abdominal Trauma During the COVID-19 Pandemic Through Co-Occurrence Analysis and Machine Learning

Cardiovascular and Neurological Diseases and Association with Helicobacter Pylori Infection—An Overview

Interactions between Cognitive, Affective, and Respiratory Profiles in Chronic Respiratory Disorders: A Cluster Analysis Approach

Oxidative Stress in Military Missions—Impact and Management Strategies: A Narrative

Analysis

The Impact of the COVID-19 Pandemic on Outcomes in Acute Pancreatitis: A Propensity Score Matched Study Comparing before and during the Pandemic