Teaching:
2024-2025 (Lecturer in Mathematical Sciences at MSP, Newcastle University, UK):
I worked on the following modules:
Course: Research Methods - NBS8062 (April 2025 - August 2025)
Role: Supervisor | level: Postgraduate | Mode: In-person | Participants: 2
Course: Data-Centric Ground Engineering - CEG8220 (March 2025)
Role: Lecturer | Period: Semester 2 | level: Graduate | Mode: In-person + recorded lecture support | Participants: 9
This is a Stage 4 module designed to introduce the basic skills and knowledge related to data science for geotechnical and geological engineers. It aims for the students to understand the key concepts of image processing, statistical modeling, and machine learning for data processing and visualization. After this, the students will be able to apply their knowledge to a practical problem using computer programming in Matlab and R. As part of the module, I taught the section “Statistical Methods: Regression and Time Series,” including demonstrations in R/MATLAB (3 hours total).
Course: Professional Skills for Accounting and Finance/Introductory Quantitative Methods & Principles Of Taxation - ACC1012/ACC1053 (Jan 2025)
Role: Module leader (Statistics Component) | Period: Semester 2 | level: Undergraduate | Mode: In-person + recorded lecture support | Participants: ~240
These two business school service modules are taught jointly across two semesters, with mathematics delivered in Semester 1 and the full statistics component delivered in Semester 2. I was responsible for teaching all statistics content to the complete cohort of ACC1012 and ACC1053 students. This module equips business school students with essential tools in mathematics, probability, and statistics, including probability distributions, confidence intervals, hypothesis testing, regression analysis, and quantitative reasoning skills for further study and professional practice.
My responsibilities included:
- Designing and grading the final and resit examinations for both modules.
- Delivering weekly lectures and coordinating 16 Minitab-based workshops (8 per week).
- Preparing structured weekly lecture materials.
- Managing all course administration on Canvas (content, announcements, deadlines, submission links, and Minitab assignments) and grading assessment reports on Turnitin.
- Using Numbas for automated formative assessments.
- Supporting a diverse cohort through clear communication, timely feedback, and a well-organized digital learning environment.
- Participating in relevant School meetings and coordinating with other module leaders involved in these modules.
Course: Clinical Research Statistics (E-Learning) - MCR8019 (Jan 2025)
Role: Module leader | Period: Semester 2 | level: Postgraduate | Mode: Online | Participants: 11
I led the online delivery of a postgraduate module structured around 11 weekly topics combining theory, examples, and software demonstrations (Minitab/SPSS). My responsibilities included guiding students through the weekly content, running discussion sessions after each topic, responding to queries, and supporting student engagement throughout the module. I coordinated with the content team to ensure timely publication of materials, reviewed all demonstrations to prepare for discussions, and participated in relevant Medical School meetings with colleagues. Assessments included two automatically graded MCQ exams and an 80% written report (graded by the designated marker). I ensured smooth administration through Canvas and provided clear support to students in an online learning environment.
2022-2023 (Post-Doctoral Research Associate at ISI Bangalore, India):
Course: Reliability Maintainability and Safety II (Jan 2023)
Role: Teacher | Instructor: Dr. E. V. Gijo | level: Postgaduate | Mode: In-person | Participants: 21
This is a core postgraduate module, offered in the second semester of the M.S. (Quality Management Sciences) program, introduces students to advanced methods used in reliability engineering, maintainability planning, and safety evaluation. The course emphasizes statistical modeling of lifetimes, accelerated testing methodologies, system reliability analysis, and data-driven decision-making in reliability and quality contexts. I delivered a specialized section on "Accelerated Life Testing". My responsibilities included developing and teaching lecture content, preparing two main final-exam questions related to my topic, invigilating the examination, and grading the associated student submissions.
Notes Slides
2014-2022 (PhD student at IIT Kanpur, India):
During my doctoral studies, I served as a teaching assistant for several undergraduate and postgraduate courses in the Department of Mathematics and Statistics. A detailed list of my teaching assistance roles and responsibilities is available below.
Teaching Assistance (link)