◼ Participated in developing visualization software to explore an innovative idea for discovering secondary measurements that influence the complexity of computational problems. ◼ Investigated the parameterized complexity of computing graph structures with data visualization and network design applications, resulting in three research papers in renowned conferences and journals.◼ Employed data visualization to shed light on the structure of typical network data, offering valuable insights into parameters useful for designing efficient algorithms.◼ Conducted extensive literature review of intractable computational issues that arise in the context of techniques for improving the quality of information visualization, leading to several open research questions of practical and theoretical interest. ◼ Conducted in-depth interviews with the Algorithms community members at conferences and workshops to gather news for FPT Newsletter.

◼ Initiated and participated in the development of a Curriculum Management System (CMS)◼ Customized an open-source course and exam scheduler and integrated it with the CMS and other relevant systems using SSIS data pipelines◼ Managed the University's timetabling process, improving course scheduling and resource allocation◼ Guided the selection of project topics, research methodologies, and proposal writing.◼ Set and reviewed criteria for project assessment and evaluation.◼ Developed and taught undergraduate-level courses related to data analytics, database development, algorithms, and programming, fostering student engagement and learning.◼ Mentored students and supervised final-year projects, assisting in developing problem-solving and practical skills such as programming.

◼ Developed a Tensor-based image segmentation model using Echo State Network.◼ Analyzed the performance of the ESN model for non-temporal tasks. ◼ Analyzed the impact of the major hyperparameters of ESN on its accuracy using recurrence plots.

◼ Collaborated with team members to design questionnaires and collect data for market analysis. ◼ Performed data cleansing, merging, and transformation while ensuring the accuracy and integrity of the datasets. ◼ Contributed to identifying trends, correlations, and patterns in data using regression analysis, time-series analysis, ANOVA, hypothesis testing, etc.

◼ Provided instructional assistance to students with quantitative methods and probability, statistics challenges, and Visual Basic. Net, leading to improved academic performance.◼ Conducted end-of-semester analysis of student data, including data about attendance and student evaluation of teaching, resulting in improved teaching and learning.