Behnaz Bostanipour

Computer Science Researcher
Google Scholar | GitHub

I am a computer science researcher with expertise & experience in building agentic AI systems, deep learning models, data privacy frameworks, and distributed algorithms for mobile networks. I hold a PhD in Information Systems from the University of Lausanne and an MSc & BSc in Communication Systems from EPFL, Switzerland. I was also a postdoctoral researcher at the Computer Science & Artificial Intelligence Laboratory (CSAIL) of the Massachusetts Institute of Technology (MIT), USA, and at Cardiff University, UK.

Interests

Agentic AI
LLMs & Transformers
Deep Learning
Generative Modeling
Synthetic Data
Data Privacy
Distributed Systems
Mobile Networks

Education

PhD in Information Systems, 2016

University of Lausanne
MSc in Communication Systems, 2009

Ecole Polytechnique Fédérale de Lausanne (EPFL)
BSc in Communication Systems, 2006

Ecole Polytechnique Fédérale de Lausanne (EPFL)

Skills

Agentic AI & Orchestration

CrewAI, LangGraph, DSPy, LangChain, Pydantic AI, Model Context Protocol (MCP), Agent2Agent (A2A), In-Context Learning (ICL).

Deep Learning & AI

PyTorch, TensorFlow 2, Keras, Transformers, Foundation APIs (Anthropic Claude 4/4.5, OpenAI GPT-5), RNNs/LSTMs, GANs, CNNs, VAEs.

Data Science & Analytics

Pandas, NumPy, SciPy, Matplotlib, Seaborn.

Programming Languages

Python, Java, C/C++, MATLAB, SQL, Shell Scripting.

Cloud & Infrastructure

Google Cloud Platform VM instances, Amazon Web Services (AWS), Git version control.

Enterprise Web Tech

Java Enterprise Edition (J2EE), EJB, Java Servlets, JSP, JavaScript, HTML, CSS, Eclipse Jetty web containers.

AI Credentials

(see my CV for links to my certificates)

Agentic AI

• Agentic AI Specialization
• Building toward Computer Use with Anthropic
• MCP: Build Rich-Context AI Apps with Anthropic
• Agent Skills with Anthropic
• AI Agents in LangGraph
• DSPy: Build and Optimize Agentic Apps
• Design, Develop, & Deploy Multi-Agent Systems with CrewAI Specialization
• Practical Multi AI Agents and Advanced Use Cases with crewAI
• Multi AI Agent Systems with crewAI
• A2A: The Agent2Agent Protocol

Generative AI & LLMs

• Retrieval Augmented Generation (RAG)
• Fine-tuning & RL for LLMs: Intro to Post-training
• Generative AI with Large Language Models
• Generative AI for Software Development
• LangChain for LLM Application Development
• Pydantic for LLM Workflows
• Quality and Safety for LLM Applications
• ChatGPT Prompt Engineering for Developers

Core Deep Learning & ML

• PyTorch for Deep Learning Specialization
• Deep Learning Specialization
• Generative Adversarial Networks (GANs)
• TensorFlow Developer Professional Certificate
• TensorFlow: Advanced Techniques Specialization
• TensorFlow: Data and Deployment Specialization
• Machine Learning

Projects

Agent-SynMob HPO: An Agentic Hyperparameter Optimization Framework for Synthetic Mobility Data Generation

Independent Research Project

Generating Synthetic Human Mobility Graphs using Deep Neural Networks with Utility and Privacy Preservation

Postdoc Research

Abstractions and Algorithms for Building Proximity-Based Mobile Applications in Mobile Ad Hoc Networks

PhD Thesis

Design and Development of a Secure User Access Control for a Sensor Networks Middleware (for GSN project at EPFL)

Internship

Publications

Quickly discover relevant content by filtering publications.

B.Bostanipour. Generating Synthetic Human Mobility Graphs Using Deep Neural Networks With Utility and Privacy Preservation. In IEEE TKDE, 2026.

B.Bostanipour, G. Theodorakopoulos. Joint Obfuscation of Location and Its Semantic Information for Privacy Protection. In Elsevier’s Computers & Security Journal, 2021.

B.Bostanipour, G. Theodorakopoulos. Joint Obfuscation for Privacy Protection in Location-Based Social Networks. In Proc. Data Privacy Management, Cryptocurrencies and Blockchain Technology, European Symposium on Research in Computer Security (ESORICS), Guildford, UK, 2020.

B. Bostanipour, B. Garbinato. A Neighbor Detection Algorithm Based on Multiple Virtual Mobile Nodes for Mobile Ad Hoc Networks. In Elsevier’s Computer Networks Journal, vol. 112, pp. 294–313, 2017.

B. Bostanipour. Abstractions and Algorithms for Building Proximity-Based Mobile Applications in Mobile Ad Hoc Networks. PhD thesis, University of Lausanne, 2016.

B. Bostanipour, B. Garbinato. Neighbor Detection based on Multiple Virtual Mobile Nodes. In Proc. IEEE/Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), pp. 322–327, Heraklion, Greece, 2016.

B. Bostanipour, B. Garbinato. Neighbor Detection based on Multiple Virtual Mobile Nodes. Technical Report DOP-20150615, University of Lausanne, 2015.

B. Bostanipour, B. Garbinato. Effective and Efficient Neighbor Detection for Proximity-Based Mobile Applications. In Elsevier’s Computer Networks Journal, vol. 79, pp. 216–235, 2015.

B. Bostanipour, B. Garbinato. Using Virtual Mobile Nodes for Neighbor Detection in Proximity-based Mobile Applications. In In Proc. IEEE International Symposium on Network Computing and Applications (NCA), pp. 9–16, Cambridge, MA, USA, 2014.

B. Bostanipour, B. Garbinato. Improving Neighbor Detection for Proximity-based Mobile Applications. In Proc. IEEE International Symposium on Network Computing and Applications (NCA), pp. 177–182, Cambridge, MA, USA, 2013.

B. Bostanipour, B. Garbinato, A. Holzer. Spotcast – A Communication Abstraction for Proximity-based Mobile Applications. In Proc. IEEE International Symposium on Network Computing and Applications (NCA), pp. 121–129, Cambridge, MA, USA, 2012.

B. Bostanipour. Multicore Lattice-basis Reduction. Master’s thesis, EPFL, 2009.

J. Panchard, E. Costanza, J. Freudiger, A. Ouadjaout, B. Bostanipour, J.-P. Hubaux. Making the Invisible Audible: Acoustic Interfaces for the Management of Wireless Sensor Networks. LCA Technical report, EPFL, 2008.

Teaching Experience

Senior Teaching Assistant for Emerging Distributed Architectures (EDA)/Middleware Course

I was the senior teaching assistant for Emerging Distributed Architectures (EDA)/Middleware, a common graduate course of Ecole Polytechnique Fédérale de Lausanne (EPFL) and University of Lausanne.

This course covered the fundamental topics related to development of multi-tier enterprise architectures using Java Enterprise Edition (J2EE). More precisely, it covered Java Servlets, Java ServerPages (JSPs), Enterprise JavaBeans or Jakarta Enterprise Beans (EJBs), Java Persistence API, Message Oriented Middleware (MOM) and Java Messaging Service (JMS) for asynchronous messaging (producer/consumer, publish/subscribe). It also covered Zero-configuration networking topics such as advertising, browsing and resolving a service (in Java and Objective-C).

Semesters: Springs 2011, 2012, 2013, 2014, 2015.

My Main Tasks:

Supervising exercise sessions (Java/J2EE and iOS programming/Objective-C),
Writing detailed project guidelines and preparing exams,
Grading projects and exams.

Senior Teaching Assistant for Introduction to Distributed Systems (IDS) Course

I was the senior teaching assistant for Introduction to Distributed Systems (IDS), a graduate course at University of Lausanne.

This course covered the fundamental concepts of distributed Programming in the context of Java/J2SE namely, Remote Method Invocation (Java RMI), Java Concurrent Programming (Threads, Monitors, etc), Java Networking API (Java socket programing TCP/IP and UDP/IP). It also covered the basic concepts of iOS networking using Objective-C.

Semesters: Falls 2010, 2011, 2012, 2013, 2014, 2015.