Ayush Kumar Pandey
(Tutor #4667)
Rated 4.9/5 by students!
The tutor will teach you Physics, Engineering Physics, Computational Physics, Quantum Mechanics, Thermodynamics, Statistical Mechanics, Atomic Physics, Nuclear Physics, Classical (Newtonian) Mechanics, Electrodynamics, Photonics, Mathematical Physics, Experimental Physics & Lab Skills and more...
MPB Verified Tutor
Background Check done on 7th August 2025
- PhD in Condensed Matter Physics (in progress) — Department of Physics, Indian Institute of Technology Roorkee (IIT Roorkee)
- Master of Science (Physics) — Specialisation: Electronics — Deen Dayal Upadhyaya Gorakhpur University, Gorakhpur
- Teaching Assistant — Department of Physics, IIT Roorkee — delivered lectures, mentored students, and conducted performance evaluation across B.Tech, M.Tech, and Pre-PhD courses
- Research Mentor — Supervised multiple B.Tech and M.Tech students at IIT Roorkee for graduation thesis and research projects
- Online Tutoring Expert — Coursehero and Teacheron platforms
- All credentials verified by My Physics Buddy before profile publication
- Sessions on Google Meet coordinated by My Physics Buddy team. Video recording provided if required
Students working with Ayush K. consistently report sharper conceptual clarity in advanced Physics topics including Quantum Mechanics, Condensed Matter Physics, and Computational Physics. They regularly achieve stronger academic performance in both coursework and research projects, and tend to develop the technical and analytical depth needed to excel at undergraduate, postgraduate, and research level.
Who This Tutoring Is For
Ayush K. is best suited to students who need rigorous, research-informed support in Physics, computational methods, materials science, and data-driven disciplines — from undergraduate coursework through to PhD-level research guidance.
- Undergraduate and postgraduate students enrolled in Engineering Physics, Quantum Mechanics, or Condensed Matter Physics courses who need structured concept clarity and problem-solving support
- Students pursuing B.Tech, M.Tech, or MSc Physics degrees who require mentorship for thesis research, final-year projects, or dissertation work
- Graduate and PhD students working on computational or simulation-based research involving First Principles (ab initio) calculations, Atomistic Simulation, or Materials Modelling
- Students in Physics or Engineering programmes who need support bridging into Machine Learning, Data Science, Python programming, or Deep Learning as applied to scientific problems
- Students preparing for postgraduate entrance examinations or competitive assessments requiring depth in Statistical Physics, Classical Mechanics, Electrodynamics, or Mathematical Physics
- Learners studying Physical Chemistry, Inorganic Chemistry, or Nanoscience who need a Physics-trained specialist to contextualise material-level phenomena
- Students struggling with numerical techniques, data analysis, or computational methods within a Physics or materials science curriculum
About Ayush K.
Ayush K. is a PhD researcher in Condensed Matter Physics at the Department of Physics, IIT Roorkee — one of India’s premier research institutions — and holds a Master of Science in Physics with a specialisation in Electronics from Deen Dayal Upadhyaya Gorakhpur University. His academic profile combines deep theoretical training with active research experience in materials modelling, simulation, and first-principles computation.
Ayush K. teaches an exceptionally wide subject range spanning Condensed Matter Physics, Quantum Mechanics, Computational Physics, Engineering Physics, Electrodynamics, Thermodynamics, Statistical Physics, Materials Modelling and Simulation, First Principles (ab initio) calculations, Machine Learning, Deep Learning, and Python-based Data Science. His teaching methodology is shaped by his direct experience as a Teaching Assistant at IIT Roorkee — where he delivered formal lectures, designed problem sets, and evaluated student performance across B.Tech, M.Tech, and Pre-PhD courses. Sessions are structured around first establishing conceptual foundations, then building towards problem-solving and application, with particular emphasis on connecting theoretical Physics to computational and research contexts. For students engaged in thesis or project work, Ayush K. provides mentorship modelled on the rigorous academic standards he applies in his own research environment.
“Ayush has an extraordinary ability to move between deep theoretical Physics and practical computation without losing clarity. He helped me understand the physical intuition behind my simulation results — something my coursework alone never gave me.”
— Verified student review, My Physics Buddy platform
All sessions are conducted on Google Meet, coordinated through the My Physics Buddy team. Ayush K. serves students from undergraduate level through to active PhD researchers, with particular capability in guiding students through research projects, thesis work, and computationally intensive coursework. Between-session support is available via WhatsApp, coordinated through the MPB team.
Subjects Ayush K. Teaches
Ayush K. covers a broad and deep range of subjects spanning core Physics, materials science, computational methods, chemistry, mathematics, and data science.
| Subject | Level | Notes |
|---|---|---|
| Condensed Matter Physics | Undergraduate to PhD | Band theory, crystal structure, electronic properties, phonons |
| Quantum Mechanics | Undergraduate to PhD | Schrödinger equation, operators, perturbation theory, many-body |
| Computational Physics | Undergraduate to Postgraduate | Numerical methods, simulations, coding for Physics problems |
| Engineering Physics | Undergraduate | Core Physics theory and application for engineering curricula |
| Electrodynamics | Undergraduate to Postgraduate | Maxwell’s equations, electromagnetic waves, radiation theory |
| Thermodynamics | High School to Postgraduate | Laws of thermodynamics, entropy, heat transfer, cycles |
| Statistical Physics | Undergraduate to PhD | Partition functions, ensembles, Fermi-Dirac, Bose-Einstein statistics |
| Classical Mechanics | High School to Postgraduate | Lagrangian, Hamiltonian mechanics, dynamics, oscillations |
| Mathematical Physics | Undergraduate to Postgraduate | Complex analysis, tensors, differential equations, linear algebra |
| Atomic & Molecular Physics | Undergraduate to Postgraduate | Atomic spectra, molecular bonding, selection rules, transitions |
| Nuclear Physics | Undergraduate to Postgraduate | Nuclear structure, radioactive decay, fission, fusion |
| Electronics (Analog and Digital) | High School to Postgraduate | Circuit theory, op-amps, digital logic, semiconductor devices |
| Photonics | Undergraduate to Postgraduate | Light-matter interaction, waveguides, optical devices, lasers |
| Nanoscience | Undergraduate to PhD | Nanomaterials, quantum confinement, surface effects, synthesis |
| Experimental Techniques | Undergraduate to Postgraduate | Measurement methods, instrumentation, data collection, error analysis |
| First Principles (Ab Initio) Calculations | Postgraduate to PhD | DFT, VASP, Quantum ESPRESSO, electronic structure modelling |
| Atomistic Simulation | Postgraduate to PhD | Molecular dynamics, Monte Carlo, force fields, LAMMPS |
| Materials Modelling and Simulation | Postgraduate to PhD | Multi-scale modelling, phase diagrams, structural prediction |
| Materials Informatics | Postgraduate to PhD | Data-driven materials discovery, property prediction, databases |
| Machine Learning | Undergraduate to Postgraduate | Supervised and unsupervised learning, model building, evaluation |
| Deep Learning | Undergraduate to Postgraduate | Neural networks, CNNs, training methods, scientific applications |
| Data Science & Data Analysis | Undergraduate to Postgraduate | Statistical analysis, visualisation, pandas, NumPy, Matplotlib |
| Python Programming | Beginner to Advanced | Scientific computing, automation, libraries for Physics and ML |
| Numerical Techniques | Undergraduate to Postgraduate | Root finding, integration, ODE solvers, finite difference methods |
| Statistics | Undergraduate to Postgraduate | Probability, distributions, hypothesis testing, regression |
| Physical Chemistry | Undergraduate to Postgraduate | Thermodynamics, kinetics, quantum chemistry, spectroscopy |
| Inorganic Chemistry | Undergraduate | Coordination compounds, crystal field theory, periodic trends |
| Mathematics | High School to Undergraduate | Calculus, linear algebra, differential equations, vector analysis |
“Ayush genuinely understands how Physics, computation, and data science interconnect. He didn’t just help me pass my Materials Modelling course — he helped me understand why each simulation method exists and when to use it. That clarity has stayed with me through my entire research degree.”
— Verified postgraduate student review, My Physics Buddy platform
Tools & Software Ayush K. Supports
Ayush K. brings hands-on experience with the computational and simulation tools used in modern Physics and materials research, enabling him to guide students through both the theory and the practical implementation of each method.
- Python (NumPy, SciPy, Matplotlib, pandas): Scientific computing, data analysis, and visualisation for Physics and materials problems
- First Principles / DFT codes (VASP, Quantum ESPRESSO): Ab initio electronic structure calculations and property prediction
- LAMMPS / Molecular Dynamics tools: Atomistic simulation, force field setup, and trajectory analysis
- Machine Learning frameworks (scikit-learn, TensorFlow / PyTorch): Model building, training, and evaluation for scientific data applications
- Data analysis and statistical tools: Regression, hypothesis testing, and visualisation for experimental and computational datasets
How Sessions With Ayush K. Work
- Diagnostic Assessment: The first session opens with a structured conversation to map your current level of understanding, identify specific gaps, and clarify your goals — whether that is exam preparation, thesis research, computational project work, or conceptual mastery of a Physics topic.
- Concept-First Foundation Building: Each topic begins with a clear theoretical explanation, grounded in the physical intuition Ayush K. has developed through active research. Abstract ideas are connected to real materials, systems, and phenomena wherever possible.
- Guided Problem Solving: You work through problems and derivations under direct guidance during the session. For computational topics, this includes live coding and simulation walkthroughs in Python or relevant research software.
- Research and Project Mentorship: For students engaged in thesis or project work, sessions are structured around your specific research question — covering methodology, simulation setup, data interpretation, and academic writing as required.
- Assignment and Coursework Support: Homework, lab reports, and assignments are addressed in full compliance with MPB’s academic integrity policy — Ayush K. guides your understanding so that you produce your own work with confidence.
- Feedback and Gap Closure: At the end of each session, Ayush K. reviews what was covered, identifies any remaining uncertainties, and sets targeted reinforcement tasks to consolidate understanding before the next meeting.
- Between-Session Availability: Follow-up questions and brief clarifications can be coordinated through the MPB team via WhatsApp, ensuring you are never left stuck between sessions.
Whether you are preparing for a postgraduate Physics examination, working through a Materials Modelling or Computational Physics course, or navigating a research thesis involving First Principles calculations or Machine Learning — rigorous, research-informed guidance from an active IIT Roorkee PhD researcher is available now. Message Ayush K. on WhatsApp today.
Qualifications & Credentials
| Credential | Institution | Year |
|---|---|---|
| M.Sc. in Physics — Specialisation: Electronics | Deen Dayal Upadhyaya Gorakhpur University | Verified by MPB |
| PhD in Condensed Matter Physics (in progress) | Department of Physics, IIT Roorkee | In Progress |
| Teaching Assistant — B.Tech, M.Tech & Pre-PhD Physics courses | Department of Physics, IIT Roorkee | During PhD |
| Thesis Research Mentor — B.Tech and M.Tech students | IIT Roorkee | During PhD |
| Online Tutoring Expert — Physics & Advanced Problem Solving | Coursehero, Teacheron | Verified by MPB |
| All credentials verified by MPB before publication | ||
Availability & How to Book
Ayush K. is available to students across multiple time zones including the US (EST/PST), UK (GMT/BST), Canada, Australia (AEST), and the Gulf region (GST). Availability is confirmed via WhatsApp — typically within a few hours of contact with the My Physics Buddy team.
All sessions are coordinated and scheduled by the MPB team. Once you make contact, the team will confirm Ayush K.’s next available slot and provide your Google Meet session link. Session recording is available on request — you may opt in or out at any time.
To book, send a WhatsApp message with: your current course or research topic, your exam date, project deadline, or thesis milestone, your primary goal for the sessions, and the specific area you find most challenging. For non-WhatsApp users, reach the MPB team directly at tutoring@myphysicsbuddy.com.
WhatsApp to Check Availability and Book
Frequently Asked Questions
How experienced is Ayush K. in Physics?
Ayush K. is an active PhD researcher in Condensed Matter Physics at the Department of Physics, IIT Roorkee, one of India’s most prestigious technical institutions. He has served as a formal Teaching Assistant delivering lectures and evaluating performance across B.Tech, M.Tech, and Pre-PhD Physics courses, and has mentored multiple students through graduation thesis and research projects. His online tutoring experience extends to platforms including Coursehero and Teacheron.
What levels does Ayush K. teach?
Ayush K. teaches students from high school through to active PhD researchers. His primary strength lies at undergraduate and postgraduate level across Physics, computational methods, and materials science, with specific capability to supervise and guide research-level work in Condensed Matter Physics, First Principles calculations, Atomistic Simulation, Materials Informatics, and Machine Learning applied to scientific problems.
Does Ayush K. help with assignments and projects?
Yes. Ayush K. provides full support for assignments, coursework, lab reports, and research projects — guided entirely by MPB’s academic integrity policy. He helps students build understanding so they complete and submit their own work with genuine comprehension. For thesis and project mentorship, he draws directly on his experience supervising B.Tech and M.Tech students at IIT Roorkee.
What tools and software does Ayush K. use in sessions?
Ayush K. works with Python (NumPy, SciPy, Matplotlib, pandas) for scientific computing and data analysis, First Principles codes such as VASP and Quantum ESPRESSO for ab initio calculations, LAMMPS for atomistic simulation, and Machine Learning frameworks including scikit-learn and TensorFlow. Sessions involving these tools include live walkthroughs so students can apply methods independently after the session.
What happens in the first session?
The first session is a diagnostic session. Ayush K. assesses your current level, identifies gaps, and maps your specific goals — whether that is an upcoming examination, a computational project, a thesis milestone, or conceptual mastery of a challenging Physics topic. He then builds a structured, personalised session plan tailored to your course or research context.
How is Ayush K. different from a general Physics tutor?
Ayush K. is an active researcher at IIT Roorkee, not solely a classroom instructor — which means he brings current, frontier-level expertise in Condensed Matter Physics, computational simulation, and data-driven materials science to every session. He has formal experience delivering university-level lectures and evaluating student performance as a Teaching Assistant, combined with the research depth to guide students well beyond standard syllabus boundaries into genuinely advanced territory.
“A Teaching Assistant with an active PhD research programme in Condensed Matter Physics brings something to online tutoring that is genuinely rare: the ability to connect textbook concepts directly to cutting-edge research problems, and to mentor students with the same rigour expected at a top technical institution.”
— Department of Physics, Indian Institute of Technology Roorkee — Teaching Assistantship Programme
How do I book a session with Ayush K.?
Contact My Physics Buddy via WhatsApp or email tutoring@myphysicsbuddy.com. Share your current topic or research area, your exam date or project deadline, your primary goal, and your main challenge. The MPB team will confirm Ayush K.’s availability and schedule your first Google Meet session — typically within a few hours of contact.
Ready to Start? Book Ayush K. Today
Ayush K. is a PhD researcher in Condensed Matter Physics at IIT Roorkee with formal Teaching Assistant experience, active research in materials modelling and simulation, and the breadth to guide students across Physics, computational science, Machine Learning, and data-driven disciplines. He brings the rigour of a top-tier research institution to every session on My Physics Buddy, covering everything from foundational Classical Mechanics and Quantum Mechanics to advanced Computational Physics and Condensed Matter Physics at PhD level. Sessions are coordinated by the MPB team on Google Meet, with flexible availability across US, UK, Canada, Australia, and Gulf time zones.
To get started, send a WhatsApp message with: your current topic, chapter, or research area; your exam date, assignment deadline, or thesis milestone; your primary goal for the sessions; and the specific area you find most challenging. You can also email the team at tutoring@myphysicsbuddy.com.