Abhinaash Blog

Abhinaash Tiwari

Computational Mathematics · Optimization · Applied Analysis

Education

University of Potsdam, Germany

Kathmandu University, Dhulikhel, Nepal

Thesis
LSTM-Driven Portfolio Optimization on the Nepal Stock Exchange (NEPSE) using Differential Evolution
Supervisor
Dr. Khim Bahadur Khattri

Research and Conferences

Portfolio Optimization in an Emerging Market: A Differential Evolution Approach with LSTM-Based Return Forecasting

Selected Projects

LSTM-Driven Portfolio Optimization on NEPSE using Differential Evolution

  • Formulated a mixed-integer nonlinear portfolio optimization problem under real-world market constraints and solved it with Differential Evolution, using a custom decode-and-repair operator to keep integer-lot solutions feasible.
  • Combined sector-level LSTM networks with attention for return signals, Ledoit–Wolf shrinkage for covariance estimation, and a penalty-augmented Sharpe ratio objective; ran a systematic sensitivity analysis over the key hyperparameters.

Image Compression Using Singular Value Decomposition

  • Applied truncated SVD to lossy greyscale image compression, grounded in the Eckart–Young–Mirsky theorem, and verified its error formula numerically.
  • Built a Python (NumPy) compression module and command-line tool with unit tests, choosing the rank by energy retained and PSNR. A 360×360 image is stored with 9× fewer values at 33.5 dB.
  • Analysed when the method fails (random noise vs. structured patterns) and compared it with JPEG.

Physics-Informed Neural Networks vs. Finite Differences for the Heat Equation

  • Benchmarked PINNs against explicit, implicit and Crank–Nicolson finite-difference schemes for the 1D, 2D and 3D heat equations, comparing accuracy, runtime and memory under coarse discretization.
  • Trained PINNs with adaptive GradNorm loss weighting, Latin Hypercube Sampling and Adam/L-BFGS. Finite differences were more accurate; PINNs were faster in 3D.

Workshops and Academic Schools

ANAIS — Annual Nepal AI School (NAAMII)

AESIM 2025 — Cryptography for the 21st Century

Leadership and Service

Vice President, Kathmandu University Computational Mathematics Club (KUCMC)

  • Organized a national mathematics Olympiad whose problems feed into Nepal's IMO qualification pathway.
  • Coordinated a mathematics hackathon, academic workshops and a national academic conference.

Skills

Programming
Python, C, C++, R, MATLAB
Tools
Gurobi, LaTeX, Git
Languages
Nepali (native), English (C1)
Interests
Optimal transport, geometric deep learning, optimization under uncertainty, stochastic modeling

Reference

Dr. Khim Bahadur Khattri
Associate Professor, Kathmandu University
khimkhattri@ku.edu.np