S M Sakif Shahriyar

Statistical Learning with Python – Stanford Online
Verified certification covering statistical and machine learning concepts including linear regression, classification, tree-based methods, support vector machines, deep learning, and unsupervised learning.

Bayesian Search & Rescue — probabilistic search simulator (Python) Interactive OpenCV map that chooses areas to search, applies Bayesian updates (forecast vs. actual effectiveness), and runs 10k-run Monte Carlo to compare strategies. (github)

Tech:Python, NumPy, OpenCV.

Seat Plan Generator — exam seating automation (Python) Built a pipeline that parses exam PDFs → merges to Excel → assigns seats with a 4-color (2×2) tiling to prevent same-batch adjacency (8 directions), handles blocked seats, and generates seat-plan, attendance, summary (A3), and envelope PDFs. (github)

Tech: Python, pandas, pdfplumber, FPDF.

SeatPlan Web App — browser tool for seating outputs (Flask) Login/upload flow to run the generator from the web UI, persist room‐info path, and one-click ZIP downloads for seat plans, attendance, summary, and envelopes. (github)

Tech: Python (Flask), HTML/CSS/JS.

Mars Site Selector — topography screening tools (Python) Scans MOLA DEM to score low-relief rectangles, then displays candidates on a color map; includes elevation profiles (e.g., ~18.5° N) and a quick 3D surface view. (github)

Tech: Python, NumPy, OpenCV/Matplotlib, Tkinter.

Housing Price Modeling — regression & feature engineering (Python) Built linear/OLS models with one-hot encoding (e.g., property type/zip groups), interaction terms, polynomial/spline fits, VIF checks, and time-weighted training; evaluated with RMSE and R². (github)

Tech: Python, scikit-learn, statsmodels 

Earthwork Cut–Fill Calculator — highway earthworks (MATLAB) CLI tool that computes cut/fill volumes by average-height, trapezoidal, and prismoidal methods; supports multi-segment grades, unit selection, and plotting. (github)

Tech: MATLAB.

Modelling Dhaka’s Urban Freight Logistics Considering Shipment Size and Vehicle
Developed predictive models to analyze factors influencing freight vehicle choice and shipment size among establishments in Dhaka City. Conducted data collection, performed data analysis using RStudio and Python, and built machine learning models under the supervision of Prof. Md. Shamsul Hoque.

A Review of the Freight Generation Models and Data Collection Techniques – Noushin Syeara Rodoshi; S M Sakif Shahriyar; Md. Amin Al Noor; Md. Shamsul Hoque. Proceedings of the 7th International Conference on Civil Engineering for Sustainable Development (ICCESD 2024), KUET, Khulna, Bangladesh, 7–9 February 2024.

Recognition for Excellence in Developing Transformative Solution for Exam Seat Planning – Department of Civil Engineering, Uttara University
Presented by the Chairman in recognition of developing an automated system to streamline exam logistics.omated system to streamline exam logistics.

Dr. Md. Shamsul Hoque

Dr. Mohammad Shariful Islam

Professor, Department of Civil Engineering

Professor, Department of Civil Engineering

Bangladesh University of Engineering and Technology (BUET)

Bangladesh University of Engineering and Technology (BUET)

Email: shamhoque84@gmail.com

Email: msharifulbd@gmail.com

Contact: +880 1789 172 999

Relationship: Thesis Supervisor

Relationship: Academic Advisor