الٓمٓ
I like to work simultaneously on fundamental R&D in terms of systems (along with data crunching to terminal solution) including Neural Network Architectures (on every domain, i.e. Computer Vision, Natural Language Understanding, Sequential Learning in AI and so on). Furthermore, I want to actively participate in the True and Safe AGI revolution since I believe my areas of long-term research interests will play a crucial role in this revolution.
Previously, I worked as an AI Research Engineer at Smart Studios Malta and a Data Scientist at AriSaf Tech Japan K.K. I was a Research Assistant at Dept. of CSE, United International University, funded by ICT Ministry of Bangladesh & part of ICT Innovation Fund. I also served as a Research Volunteer at Collaborative Robotics Lab - University of Virginia. Before that, I have completed my internship at CSIR - Central Drug Research Institute, Uttar Pradesh, India.
Industrial Experiences: Classical Computer Vision, Orthophoto Analysis and Segmentation, Quantitative Analysis, Algorithmic Trading, High Frequency Trading, Optical Character Recognition (English, Bengali, Japanese), Medical Image Analysis, Board Game AI.
Long-term Research Interests: Neuro-Dynamic Programming, Cellular Automaton, Swarm (AI) Intelligence, Multimodal & Reincarnating RL, Meta Learning, Core Neural Network Architectures.
I have relocated to 🇯🇵 Japan 🗾 🍙 🍱 recently.
New accepted workshop paper @ NeurIPS 2024:
Collective Wisdom in Language Models: Harnessing LLM-Swarm for Agile Project Management
in NeurIPS 2024 -
Workshop on Open-World Agents (OWA-2024): Synergizing Reasoning and Decision-Making in Open-World Environments
available at OpenReview.
Collective Wisdom in Language Models: Harnessing LLM-Swarm for Agile Project Management
Tahmid Hussain, Tashin Ahmed, Md Shahedul Haque, Mohammad Rifat Ahmmad Rashid
Accepted for - NeurIPS 2024 -
Workshop on Open-World Agents (OWA-2024)
(Poster Presentation, Track: Workshop)
GraphKAN: Graph Kolmogorov Arnold Network for Small Molecule-Protein Interaction
Predictions
Tashin Ahmed, Md Habibur Rahman Sifat
Accepted for - ICML 2024 - Machine Learning for
Life and Material Science: From Theory to Industry applications (Poster Presentation,
Track: Workshop)
Pipeline Enabling Zero-shot Classification for Bangla Handwritten Grapheme
Linsheng Guo, Md Habibur Rahman Sifat, Tashin Ahmed (Initiator)
Accepted for - EMNLP 2023 - Workshop
on Bangla
Language Processing (BLP) (Oral Presentataion, Track: Main - Long)
Evaluating The Effectiveness of Capsule Neural Network in Toxic Comment Classification using
Pre-trained BERT Embeddings
Md Habibur Rahman Sifat, Noor Hossain Nuri Sabab, Tashin Ahmed (Initiator and
directional lead)
Accepted for - TENCON 2023 - IEEE Region
10 Technical
Conference (Main Conference : Oral Presentation)
Dual phase convolutional neural network based system aimed at small rice grain dataset for disease
identification
Tashin Ahmed (bachelor’s thesis, lead), Chowdhury Rafeed Rahman, Md. Faysal Mahmud Abid
Accepted for - AAAI 2023 - AI for
Agriculture and Food Systems (Workshop : Lightning Talk + Poster)
Referred at -
Geographical Research Bulletin
Automatic Signboard Detection and Localization in Densely Populated Developing Cities
Md Sadrul Islam Toaha, Sakib Bin Asad, Chowdhury Rafeed Rahman, SM Haque, Mahfuz Ara Proma, Md Shuvo, Ahsan
Habib, Tashin Ahmed (co-supervisor), Md Basher
Published in - Signal Processing: Image Communication
Classification and understanding of cloud structures via satellite images with
EfficientUNet
Tashin Ahmed, Noor Hossain Nuri Sabab
Published in - Springer
Nature Computer Science (SNCS)
- Teaching Convolutional Neural Networks to Solve Conway’s Reverse Game of Life
- Bengali Lip Reading from Video Dataset with 3D Convolutional Neural Network
- Automated Market Trend Forecasting and Order Placement: A Hybrid Approach integrating Multiple AI Systems
- Exploring Adaptive Memory Patterns in Reinforcement Learning Agents
TETRIS
Single player Tetris game created in C++ & Java both. Graphics added for both version.
10
different
levels
are created depending on play time with addictive scoring system.
LIFE
Zero-player
game
for
observing cellular
automaton & evaluation of their
growth. Recreation of Conway's game of
Life using C language & OpenGL.
MAZE
A maze creator algorithm which creates random mazes using OLC Engine & have GUI
written in C++ comes with automated maze solver plus a game to solve maze puzzle. Both
program
tested on
TURBO C++.
DeepLearning.AI Tensorflow Developer: Professional Certificate
deeplearning.ai
Grade: 93.785%
Data-driven Astronomy
University of Sydney
Grade: 89%
Social Psychology (with Honors)
Wesleyan University
Grade: 92%
Outstanding Reviewer
First Workshop on Bangla
Language Processing (BLP) - EMNLP 2023
Certification
(Private)
Duolingo English Test (w/o preparation scored 140/160, IELTS comparative score -
7.5/9)
Duolingo English Test
Certification
(Private)
Triplebyte Certified
Triplebyte
Certification
Eterna (Solve Puzzles, Invent Medicines)
Achievements
Certification
Time Series
Analysis
(TSA) for beginners
You have access to 10 notebooks (created using Kaggle Notebook) to get you started with
Time
Series
Analysis (TSA). Continue reading
to find out more.
TL;DR
All ten of the notebooks are briefly described in this discussion, along with links to
each
notebook.
A variety of arbitrary pattern generation strategies, validations, label construction,
and
diverse
ML and DL techniques, including manually
constructed CNN, DNN, LSTM, and RNN using TensorFlow Sequential layers—all of which are
ideal
for
beginners—were tried to be provided.
The last two notebooks demonstrate basic EDA and the application of DNN and CNN to the
Sunspots
dataset.
Sunspots
Dataset: Sunspots are transient occurrences on the photosphere of the
Sun that
appear as spots that are darker than their surroundings. These are areas of lower
surface
temperature brought on by magnetic flux concentrations that prevent convection. Sunspots
typically
come in pairs with completely different magnetic polarity. (incomplete)
Introduction to Genetic Algorithms (GA)
This blog post is an assembly of GA from the perspective of biological anecdote to a
deep dive
on it's history, simple architecture and use cases.
Capsule Neural Network (CapsNet): A Forgotten ANN
Architecture
CapsNets are artificial neural networks (ANN) that better capture
hierarchical relationships. They’re inspired by biological neural arrangements. CapsNet
use “capsules”, which reuse outputs
from multiple capsules to stabilize representations for...