Ibne Farabi Shihab farabi1038

👋 Hi there! I'm Farabi!

🎓 Ph.D. in Computer Science | 🔬 Applied AI Researcher | 📊 Applied Scientist

Ph.D., Computer Science — Iowa State University • Oct 2025
📍 Current Role: Lecturer, Dallas College, TX

"Bridging cutting-edge AI research with real-world impact across transportation, agriculture, and quantum computing"

📄 Download Industry Resume • Download Academic Resume

🎯 About Me

I'm an AI researcher and data scientist with expertise spanning multiple high-impact domains. My work bridges academic research and practical industry applications, with a focus on deploying AI solutions that create measurable real-world impact.

🔬 Research Impact

📚 10+ Publications at top-tier venues
🏆 6 Papers Accepted to ECAI, EMNLP, ITSC 2025
🎯 5+ Under Review at top conferences
👥 Reviewer for CVPR, ICCV, ICLR, ACM MM

💼 Industry Impact

🏢 Amazon Applied Scientist (Summer 2025)
🌾 35% Accuracy Boost in soil mapping
🚗 Iowa DOT Partnership for safety systems
💰 20% Cost Reduction via cloud optimization

🌟 Domain Expertise

🤖 Large Language Models & Generative AI

Pioneering multimodal AI for safety-critical applications

🎥 Video-LLMs for Safety

Crash detection systems
Automated narrative generation
Real-time video analysis
Synthetic data simulation
Published at TRC-30 '24

⚡ Model Efficiency

Mamba state-space pruning
Edge deployment optimization
Cache-efficient sampling
Resource-constrained AI
2 Papers at EMNLP '25

🧠 LLM Theory & Reasoning

Counterfactual sensitivity
Risk certification methods
Reward function analysis
Faithful reasoning
3 Papers at ICLR '26 (under review)

Key Publications:

✅ EMNLP 2025 - Efficient Unstructured Pruning of Mamba State-Space Models
✅ EMNLP 2025 - Cache-Efficient Posterior Sampling for RL with LLM-Derived Priors
📝 IEEE ITS - Leveraging Video-LLMs for Crash Detection and Narrative Generation
📝 ICLR 2026 - Counterfactual Sensitivity for Faithful Reasoning (submitted)
📝 IEEE ITS - Image Segmentation with LLMs: Survey for Transportation Systems (submitted)

🚗 Transportation & Autonomous Systems

AI-driven solutions for safer roads and smarter mobility

🎬 Computer Vision & Video Analytics

Real-time crash detection with temporal localization
HybridMamba for fine-grained action recognition
All-weather image classification (CycleGAN + SigLIP-2)
Change-point detection for action localization (CVPR '24)
Ensemble learning for sidewalk detection (ITSC '23)

🎯 Impact Metrics:

🏆 Featured in Iowa State News
📰 Covered by Des Moines Register
⚡ Improved emergency response times for Iowa DOT

🤖 Reinforcement Learning & Control

Autonomous vehicle decision-making algorithms
RL for traffic signal synchronization
Reward hacking detection & mitigation
Multi-agent coordination systems

🛠️ Simulation Frameworks:

🚙 CARLA - Autonomous driving simulation
🛣️ SUMO - Traffic flow modeling
🏋️ Isaac Gym - Physics-based RL
🎮 OpenAI Gym - Custom environments

🏢 Industry Projects:

❄️ Iowa DOT Snowplow Navigation (ADAS)
🚨 Real-time Incident Detection Systems
🎥 Synthetic Crash Video Generation

🌾 Digital Agriculture & Environmental Analytics

Precision farming through geospatial ML and environmental modeling

🗺️ Precision Agriculture & Geospatial AI

Soil Mapping Engine: Production system serving 10+ farms
Performance: 35% accuracy improvement over baseline
Cost Optimization: 20% speed increase with reduced hosting costs
Cloud Integration: QGIS scripts for seamless AWS processing
Stack: Python • QGIS • ArcGIS • AWS • PostgreSQL

🌍 Key Capabilities:

Digital mapping & remote sensing
Terrain modeling & spatial analytics
Multi-source geospatial data fusion
Real-time environmental monitoring

🌱 Environmental Data Science

Climate data analysis & sustainability metrics
Resource allocation optimization
Crop yield prediction modeling
ML-driven agricultural decision support

📊 Technical Stack:

Geospatial:  QGIS • ArcGIS • GDAL
Cloud:       AWS (S3, Lambda, Athena)
Processing:  Spark • PySpark • PostGIS
ML:          Scikit-learn • XGBoost
Viz:         Tableau • Plotly • Kepler.gl

💼 Industry Experience:

🏢 Data Scientist at SoilSerdem (2024)
🌾 Led cross-departmental ML initiatives
📈 Deployed production-grade prediction models

🔬 Advanced AI & Quantum Computing

Exploring the frontiers of machine learning and quantum algorithms

⚛️ Quantum Neural Networks

Novel QNN architectures
10% boost in anomaly detection
Zero-trust security frameworks
Quantum algorithm design

🛠️ Frameworks:

torchquantum
Qiskit
PennyLane
StrawberryFields

📄 Publications:

Measurement: Digitalization '25
ECAI '25 (Quantum Spin Systems)

🧬 Biomedical AI Applications

RL-guided CAR T-cell optimization
Cellular behavior modeling
Therapy parameter tuning
Bio-monitoring with deep learning

📊 Research Impact:

Published in Biotechnology and Bioengineering
Heart/respiratory rate prediction
Enzyme classification models

🔍 Theoretical Foundations

Differentiable entropy regularization
Self-supervised few-shot learning
Reward function structure analysis
Information-lift statistics

📝 Under Review:

ICLR '26 (3 submissions)
Novel theoretical frameworks
Geometry + neural networks

🚀 Featured Projects

🌟 GenAI-Powered Applications

🇯🇵 Japanese Language Portal

GenAI-powered language learning platform with interactive exercises

Tech Stack: LangChain OpenAI Streamlit Python

Features:

💬 Conversational AI tutor
📝 Grammar correction
🎯 Personalized learning paths
🔊 Pronunciation feedback

🤖 PaliGemma from Scratch

Complete PyTorch implementation of Google's PaliGemma multimodal model

Tech Stack: PyTorch Transformers Computer Vision

Features:

🖼️ Vision-language understanding
🏗️ Built from architectural principles
📚 Educational annotations
⚡ Optimized inference

💻 Technical Implementations & Research

Project	Description	Tech Stack	Links
🔍 Wiki Word Analyzer	Web-based text analysis with intelligent caching	`FastAPI` `Redis` `NLP`	Code
🚦 RL Signal Sync	Reinforcement learning for traffic signal optimization	`Ray` `RLlib` `SUMO`	Code
🏆 Mcity AV Challenge	Autonomous vehicle competition entry	`Python` `Computer Vision`	Code
📚 Online Course Projects	Collection of ML/AI implementations	`PyTorch` `TensorFlow`	Code

📖 Academic Coursework

Comprehensive graduate-level training in AI, ML, and computer science

🤖 Machine Learning & AI

Course Code	Course Title	Repository
COMS 573	Machine Learning	📂 View
COMS 574	Intro to Machine Learning	📂 View
COMS 575	Computational Perception & CV	📂 View
COMS 572	Artificial Intelligence	📂 View

🛠️ Systems & Applications

Course Code	Course Title	Repository
COMS 576	Motion Strategy Algorithms	📂 View
ME 592	Data Analytics & ML for CPS	📂 View

🔗 View Complete Coursework Collection

💼 Professional Experience

🎓 Academia

Lecturer
Dallas College
Aug 2025 - Present

Graduate Research Assistant
Iowa State University
Jan 2022 - May 2025

Graduate Teaching Assistant
Iowa State University
Aug 2020 - Dec 2021

Graduate Teaching Assistant
University of Vermont
Aug 2019 - May 2020

🏢 Industry

Applied Scientist Intern
Amazon Inc.
Jun 2025 - Aug 2025

Data Scientist
SoilSerdem
Jan 2024 - Dec 2024

Data Engineer Intern
Etalyc Inc.
May 2021 - Jul 2021

AI Trainee
Training Program
Oct 2018 - Feb 2019

🔬 Research Focus

LLMs & Multimodal AI
Video understanding
Model efficiency

Transportation Safety
Crash detection
Autonomous systems

Precision Agriculture
Geospatial ML
Environmental analytics

Quantum Computing
QNN architectures
Security applications

📝 Selected Publications

🏆 Recent Acceptances (2025)

✅ ECAI 2025

HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems

✅ EMNLP 2025 (2 Papers)

Efficient Unstructured Pruning of Mamba State-Space Models
Cache-Efficient Posterior Sampling for RL with LLM-Derived Priors

✅ ITSC 2025 (2 Papers)

ClearVision: All-Weather Classification in Traffic Imagery
Expert-Aligned Evaluation of Crash Narrative Models

✅ Journal Publications

Quantum-driven Zero Trust Architecture - Measurement: Digitalization (2025)
RL-Guided CAR T-Cell Control - Biotechnology and Bioengineering (2024)

✅ IEEE CVPR 2024

DeepLocalization: Change Point Detection for Temporal Action Localization

✅ IEEE ITSC 2023

Robust Sidewalk Detection with Ensemble Learning

📝 Under Review (2026)

ICLR 2026
(4 Submissions)

Reward Function Structure
Differentiable Entropy Regularization
Counterfactual Sensitivity
Risk Certification for LLMs

IEEE ITS Transaction
(2 Submissions)

HybridMamba for Temporal Localization
Image Segmentation with LLMs Survey

Other Venues

Journal of Safety Research

📚 View Complete Publication List (20+ Papers)

🧑‍⚖️ Academic Service & Leadership

🎯 Peer Review for Premier Conferences

🎥 Computer Vision

CVPR '24, '25, '26
ICCV '25
WACV '26

🧠 Machine Learning

ICLR '26
ECAI '25

🖼️ Multimedia

ACM MM '25

🛣️ Transportation

ITSC '23, '24, '25 IEEE Intelligent Vehicles Symposium 2026

💬 NLP

EACL '26

📊 Total Reviews: 30+ papers across 8 top-tier conferences

🌟 Leadership & Community Service

🏛️ University Service

👥 Graduate Student Representative
Iowa State University CS Committee (2022-2023)
📚 Education Committee Member
University of Vermont Graduate Senate (2019-2020)

🔬 Community Outreach

⚖️ Judge, State Science & Technology Fair of Iowa (2025)
🎓 Mentor for undergraduate research projects
📖 Guest lecturer for AI/ML courses

🛠️ Technical Skills

💻 Programming & Development

Languages

Python    ⭐⭐⭐⭐⭐
Java      ⭐⭐⭐⭐
SQL       ⭐⭐⭐⭐
C++       ⭐⭐⭐⭐
R         ⭐⭐⭐
Go        ⭐⭐⭐

Web Development

FastAPI    ⭐⭐⭐⭐⭐
Flask      ⭐⭐⭐⭐
Streamlit  ⭐⭐⭐⭐
React      ⭐⭐⭐

Databases

PostgreSQL     ⭐⭐⭐⭐⭐
MySQL          ⭐⭐⭐⭐
MongoDB        ⭐⭐⭐⭐
Elasticsearch  ⭐⭐⭐⭐
SQLite         ⭐⭐⭐⭐
Athena         ⭐⭐⭐

DevOps & Cloud

AWS         ⭐⭐⭐⭐⭐
Docker      ⭐⭐⭐⭐
Git/GitHub  ⭐⭐⭐⭐⭐
Kubernetes  ⭐⭐⭐
Jenkins     ⭐⭐⭐
Terraform   ⭐⭐⭐

🧠 Machine Learning & AI

🔥 Deep Learning

PyTorch ⭐⭐⭐⭐⭐
TensorFlow/Keras ⭐⭐⭐⭐
Scikit-learn ⭐⭐⭐⭐⭐
ONNX Runtime ⭐⭐⭐⭐

🎬 Computer Vision

OpenCV ⭐⭐⭐⭐⭐
YOLO ⭐⭐⭐⭐
Detectron2 ⭐⭐⭐⭐
MMDetection ⭐⭐⭐

🤖 LLM & GenAI

LangChain ⭐⭐⭐⭐⭐
Ollama ⭐⭐⭐⭐
Azure Databricks ⭐⭐⭐⭐
TorchServe ⭐⭐⭐
Hugging Face ⭐⭐⭐⭐⭐

📊 Vector Databases

Chroma ⭐⭐⭐⭐
Faiss ⭐⭐⭐⭐
Pinecone ⭐⭐⭐

🎮 RL & Simulation

Ray/RLlib ⭐⭐⭐⭐⭐
Stable Baselines3 ⭐⭐⭐⭐
CARLA ⭐⭐⭐⭐
SUMO ⭐⭐⭐⭐
Isaac Gym ⭐⭐⭐
OpenAI Gym ⭐⭐⭐⭐

⚙️ Data Engineering & Analytics

🔄 Big Data Processing

Apache Spark      ⭐⭐⭐⭐⭐
PySpark          ⭐⭐⭐⭐⭐
Hadoop           ⭐⭐⭐⭐
Apache Kafka     ⭐⭐⭐
ETL Pipelines    ⭐⭐⭐⭐⭐
AWS Data Pipeline ⭐⭐⭐⭐

📊 Monitoring & Analytics

Splunk    ⭐⭐⭐
Datadog   ⭐⭐⭐

🗺️ GIS & Geospatial

QGIS                ⭐⭐⭐⭐⭐
ArcGIS              ⭐⭐⭐⭐
GDAL                ⭐⭐⭐⭐
PostGIS             ⭐⭐⭐⭐
Remote Sensing      ⭐⭐⭐⭐
Terrain Modeling    ⭐⭐⭐⭐
Spatial Analytics   ⭐⭐⭐⭐⭐

📈 Visualization

Tableau     ⭐⭐⭐⭐
Matplotlib  ⭐⭐⭐⭐⭐
Plotly      ⭐⭐⭐⭐
Seaborn     ⭐⭐⭐⭐
Kepler.gl   ⭐⭐⭐

🔬 Specialized Technologies

⚛️ Quantum Computing

torchquantum
Qiskit
PennyLane
StrawberryFields

Novel QNN architectures for security applications

📊 Statistical Analysis

R Studio
MATLAB
SciPy
StatsModels

Advanced statistical modeling and hypothesis testing

🎓 Research Tools

LaTeX
Jupyter
Weights & Biases
MLflow

Experiment tracking and scientific writing

🏆 Domain Expertise

``` 🔍 Crash Analysis 🎯 Prompt Engineering ⏱️ Time Series Analysis 🤖 Autonomous Systems 📈 Predictive Modeling 🌐 Knowledge Graphs 🎥 Video Understanding 🧮 Optimization Algorithms 🔐 Cybersecurity ```

🎓 Education

🎓 Ph.D.

Computer Science
Iowa State University
Graduated October 2025

Dissertation Focus:
AI for Transportation Safety
& Video Understanding

🎓 M.S.

Artificial Intelligence
Iowa State University
Graduated January 2024

Specialization:
Machine Learning
& Computer Vision

🎓 B.Sc.

Computer Science & Engineering
BRAC University
Graduated August 2018

Focus Areas:
Software Engineering
& Algorithms

📊 GitHub Statistics

📫 Let's Connect!

💬 I'm always interested in collaborating on exciting AI and ML projects!

📧 Personal
[email protected]

🎓 Academic
[email protected]

📞 Phone
+1-347-571-4757

📍 Location
Dallas, TX, USA

🌟 Open to opportunities in:

AI Research • Machine Learning Engineering • Data Science • Academic Positions

⭐ Thank you for visiting my profile! Happy coding! 🚀

"I have to win. If not eventually, I will. There is no alternative."