General Information

Full Name	Ibne Farabi Shihab
Email	ishihab@iastate.edu
Phone	+1-347-571-4757
LinkedIn	ibne-farabi-shihab
GitHub	farabi1038
Google Scholar	View Profile

Education

• 2020 - 2025

  Ames, IA

  Ph.D., Computer Science

  Iowa State University

  • Graduated October 2025
  • Research focus on AI, Computer Vision, and Transportation Systems
  • Advisor: Dr. Anuj Sharma

• 2020 - 2024

  Ames, IA

  M.S., Artificial Intelligence

  Iowa State University

  • Graduated January 2024

• 2014 - 2018

  Dhaka, Bangladesh

  B.Sc., Computer Science and Engineering

  BRAC University

  • Graduated August 2018

Experience

• 2026 - Present

  Sunnyvale, CA

  Applied Scientist II

  Amazon

  • Working on agentic bot systems

• 2025 - 2026

  Dallas, TX

  Lecturer

  Dallas College

  • Teaching computer science courses with focus on practical applications
  • Developed enhanced curriculum and instructional materials
  • Implemented diverse assessment methods to evaluate student learning
  • Actively serving on departmental and college-wide committees

• Summer 2025

  Seattle, WA

  Applied Scientist Intern

  Amazon

  • Developed unified Knowledge Graph framework for diverse datasets
  • Proposed novel Knowledge Graph Embedding (KGE) model and evaluation methodology
  • Pioneered advanced negative sampling techniques for sparse knowledge graphs
  • Engineered intelligent model recommendation system
  • Built comprehensive toolkit for reproducible research

• 2022 - 2025

  Ames, IA

  Graduate Research Assistant

  Iowa State University

  • Led multiple funded projects with Iowa DOT on AI-based navigation systems
  • Developed computer vision and LLM integration frameworks
  • Created Quantum Neural Network architectures for anomaly detection
  • Published multiple papers in premier conferences (CVPR, ECAI, EMNLP, ITSC)

• 2024

  Ames, IA

  Data Scientist

  SoilSerdem

  • Engineered precision Soil Mapping Engine improving accuracy by 35%
  • Designed QGIS tool scripts for AWS integration
  • Reduced infrastructure costs while increasing processing speed by 20%
  • Led cross-departmental ML initiatives

• 2020 - 2021

  Ames, IA

  Graduate Teaching Assistant

  Iowa State University

  • Contributed to curriculum development for ML and Deep Learning courses
  • Taught Motion Planning for Robotics and Advanced Programming Techniques
  • Mentored undergraduate and graduate students on research projects

• 2021

  Ames, IA

  Data Engineer Intern

  Etalyc Inc.

  • Developed analytics protocols improving data processing efficiency
  • Created ML models for pedestrian movement prediction
  • Generated data-driven reports for urban planning

• 2019 - 2020

  Burlington, VT

  Graduate Teaching Assistant

  University of Vermont

  • Delivered instruction in machine learning and deep learning
  • Developed innovative teaching materials and project-based assessments

Research Interests

• Computer Vision & Video Analytics

  • Crash detection and temporal action localization
  • Traffic analysis using state-of-the-art deep learning
  • ADAS enhancement under extreme weather conditions

• Large Language Models

  • Integration with computer vision for automated narrative generation
  • LLM-derived priors for reinforcement learning
  • Efficient model pruning for resource-constrained environments

• Reinforcement Learning

  • Autonomous vehicle control and decision making
  • Cache-efficient posterior sampling
  • Reward structure analysis for sparse-reward learning

• Quantum Computing

  • Quantum Neural Networks for security and privacy
  • Anomaly detection in next-generation networks
  • Few-shot learning for quantum spin systems

• Synthetic Data & Simulation

  • Traffic safety analysis and predictive modeling
  • Crash video simulation for model training

Academic Service

• Area Chair: ACL Industry Track (2026)
• Conference Reviewer: ICML (2026), IEEE/CVF CVPR (2024-2026), IEEE/CVF ICCV (2025), IEEE ITSC (2023-2025), ACM Multimedia (2025), WACV (2026), ICLR (2026), IEEE ICVES (2025)
• Graduate Student Representative: Iowa State University Computer Science Committee (2022-2023)
• Committee Member: University of Vermont Graduate Senate Education Committee (2019-2020)
• Judge: 2025 State Science & Technology Fair of Iowa (SSTFI)

Technical Skills

• AI & Machine Learning

  • Deep Learning (PyTorch, Keras, TensorFlow)
  • Reinforcement Learning (Ray, RLlib)
  • Computer Vision (OpenCV, YOLO, Detectron2)
  • Large Language Models (GPT, BERT, LLaMA)
  • Generative AI (GANs, Diffusion Models)

• Specialized Expertise

  • Traffic Simulation (SUMO, CARLA)
  • Quantum Neural Networks (torchquantum, Qiskit, PennyLane)
  • Knowledge Graph Embedding
  • Environmental Data Analysis

• Programming Languages

  • Python, Java, C++, R, SQL, MATLAB

• Research Infrastructure

  • Cloud Computing (AWS, Azure)
  • High-Performance Computing
  • Data Engineering (Spark, Hadoop)
  • Version Control (Git, GitHub)
  • Docker, Kubernetes

Selected Honors & Awards

• 2026

  • Paper accepted to IEEE/CVF CVPR 2026
  • Serving as Area Chair for ACL 2026 Industry Track

• 2025

  • Research Excellence Award, Iowa State University
  • 5 papers accepted to premier conferences (ECAI, EMNLP, ITSC)

• 2024

  • Paper accepted to IEEE/CVF CVPR
  • Published in Biotechnology and Bioengineering

• 2023

  • Paper accepted to IEEE ITSC