Quantum Scattering with Neural Network

Machine Learning for Inelastic Scattering    ||    Theoretical Quantum Mechanics    ||    Quantum Dynamics of Inelastic & Reactive Scattering    ||    Collisional Energy Transfer in Astrophysical Environments

Teaching

A brif description about my teaching experience during my PhD and Postdoctoral tenure is provided. Please expand the section you want to know more details about.

Computational Chemistry, University of Nevada Las Vegas, Fall 2023, 24

Curriculum Design & Instruction

  • Prepared in-class teaching material for the course including, but not limited to, Born-Oppenheimer Approximation, Hartree Self-Consistent-Field (SCF) method, Hartree-Fock
  • Created structured lessons that are primarily focused on applications that helped students translate theoretical concepts into computational practice within the field of quantum chemistry

    • In-class Instruction
    Guided students through practical quantum chemistry calculations using Gaussian09, focusing on:

  • Molecular geometry and energy optimization
  • Vibrational frequency analysis
  • Construction of potential energy surfaces (PES)
  • Transition state identification and reaction path mapping via intrinsic reaction coordinates (IRC)

    • Developing Software Skills of Students

  • Taught students to analyze and interpret Gaussian09 output data using Avogadro, an open-source molecular modeling and visualization tool
  • Demonstrated molecule building, structure manipulation, and visualization techniques essential for understanding chemical phenomena at the molecular level
  • Taught Python to extract gemoetry and potential value to build and plot potential energy surface
  • Explained shell script for managing

    • Instructional Resource Development

  • Produced and distributed a suite of instructional video tutorials to support pre-class preparation and independent learning
  • Topics included accessing and using high-performance computing (HPC) access, navigating though the cluster using unix command line, cross-platform software installation (macOS, Linux, Windows), and molecular modeling workflows
    • Graduate Teaching Assistant, Marquette University, Fall 2016, 17, 19 & Spring 2019
    Chemistry Lab duties

    Teaching & Instruction

  • Conducted weekly undergraduate laboratory sessions where I guided students through experimental procedures and thus, fostering a positive learning environment
  • Explained complex chemistry concepts in a practical context to enhance understanding and retention in the lab

    • Student Support & Mentoring

  • Held weekly office hours for one-to-one support on course material, and address academic concerns individually
  • Provided academic mentoring that contributed to improve course performance and confidence of a student

    • Assessment & Feedback

  • Graded laboratory reports, in-class quizzes, and exams with a focus on fairness and accuracy
  • Provided constructive feedback to improve writing skills for chemistry labs
  • Ensured timely grading and consistent assessment standards in coordination with the course instructor

    • Organization & Collaboration

  • Coordinated with course instructors, Dr. Vijay Vyas and Dr. Llanie Noble, and also with other teaching assistants to provide feedback on the experiment handout, lab report template and grading rubrics alligned with course objectives
  • Managed student records and maintained accurate grading documentation using D2L (direct to learning)
    • Teaching chemistry through discussion sessions

    Teaching & Instruction

  • Facilitated weekly recitation sessions to reinforce lecture material, clarify complex concepts, and guide students through problem-solving exercises.
  • Developed and presented additional instructional content tailored to student needs and the course syllabus

    • Teaching & Instruction

  • Encouraged interactive discussions and critical thinking by posing conceptual questions and fostering collaboration through group discussion during recitations
  • Responded to spontaneous student questions, adapting explanations in real time to improve comprehension

    • Curriculum Support & Delivery

  • Assisted the instructor to improve recitation topics with weekly lecture objectives and upcoming assessments
  • Utilized a mix of whiteboard work, slides, and real-time demonstrations to accommodate diverse learning styles