Who am I?
Personal Details

- Email: vafa [at] andalibi [dot] me
- Current Research Interests:
Applied Machine Learning in Security & Privacy
About me
People find me to be a creative, self-sufficient, and self-motivated team player in projects and research. With a background in computer engineering, a double-major master's degree in Communications Systems & Networks and Biomedical Engineering, and a Ph.D. focusing on Applied Machine Learning in Security and Privacy, I see myself being an asset in software and system security projects and research. I am passionate about solving real-world security and privacy problems, and I try to put my diverse background to work for that purpose.
My Background
Experience
2022 - Present
Security Software Engineer
Job Description
I'm part of the Android Security and Privacy team.2022 - Present
Adjunct Professor
Job Description
I teach Application Security at New York University's Tandon School of Engineering.2020 Summer
Software Engineer Intern
(Product Security)
Job Description
- Improving the integration of security scanners, e.g., Brakeman, Bandit, BundleAudi, Gosec, in security orchestration tools, e.g., Salus, Clair, as well as automatic ticket creation in Jira based on their reports.
- Designing and implementing a new service called vulnerability inventory for vulnerability management and analysis implemented using AWS Lambda and DynamoDB with a Datadog dashboard.
- Implementing a Lambda service for automating security tasks via Tines (threat intelligence team).
2019 Summer
Software Engineer Intern
Job Description
In summer 2019, I was a Software Engineering Intern at Cisco under supervision of Eliot Lear and I worked on developing the MUD-Visualizer (open source) tool to facilitate deployment of Manufacturer Usage Description (MUD) standard for protecting IoT devices
- MUD-Visualizer was accepted in BlackHat USA Arsenal 2020
- MUD-Visualizer was added to IoT-Onboarding organization in GitHub (A cross-organizational effort to improve IoT onboarding experience)
An online version of the MUD-Visualizer is available at www.mudmaker.org.
2017 - 2021
Associate Instructor
Job Description
During my Ph.D. at Indiana University Bloomington, I mainly worked as either Associate Instructor, Co-Instructor, Research Assistant, or Course Designer. A summary of my responsibilities was as follows:
2016
Research Assistant
Job Description
As a member of the Visual Neuroscience group in Helsinki University Central Hospital, I designed and implementated a computational neuroscience simulator, namely CxSystem (and its successor CxSystem2). CxSystem2 has won the infrastructure voucher of Human Brain Project (HBP) which is the largest scientific project ever funded by the European Union. CxSystem and CxSystem2 are open source and available on GitHub.
2014 - 2015
Research Assistant
Job Description
I started to work on my master thesis in department of Pervasive Computing. The goal of my master thesis was to design and implement a realistic model of neuronal activity in MEA plates in order to create a simulated bio-integrated wireless sensor network. In another part, functional connectivity analysis of the neuronal networks were implemented both in MATLAB and CUDA (PyCUDA) and the performance improvement was evaluated. We developed a MEA-plate simulator and used spiking neuronal networks for simple pattern recognition tasks. (Funded by Academy of Finland)
My Education
Education
Computer Science
Doctor of Philosophy
Under the supervision of Prof. Jean Camp and Prof. Martin Swany, my research focused on leveraging machine learning for end-user security and privacy protection. This was achieved by strenghening the security and privacy defenses over the network stack: in application layer I worked on applying machine learning to build a human-centered anti-fingerprinting defense. In mid-layers I work on the MUD standard for protecting IoT devices through network-microsegmentation., and close to physical layer, I worked on deep learning applications in binary analysis for facilitating reverse engineering of stripped IoT firmware binaries.
Biomedical Engineering & Communication Systems and Networks
Master of Science
I started my master studies at Tampere University of Technology (TUT), Finland,
studying Biomedical Engineering. In the second year of my master, I changed my degree type to a
double major degree: biomedical engineering with a
focus area on medical instrumentation and Information Technology with a focus area on Communication
systems and networks. During my master studies, I also had extracurricular research in parallel
computing, computational neuroscience,
bioinformatics, and systems modelling.
Computer Engineering
Bachelor of Science
I received my bachelor's degree in Computer Engineering with a major in computer hardware from Iran University of Science and Technology (IUST) in Tehran, Iran. During my bachelor I became involved in network traffic analysis and modelling as well as basic image processing. In the final year of my bachelor, I decided to continue my studies to master's level in an interdisciplinary field combining computer science and biomedical engineering to apply my knowledge of compute science in health-care.
My Research History
Publications
Criteria and Analysis for Human-Centered Browser Fingerprinting Countermeasures
Andalibi, Vafa and Sadeqi Azer, Erfan and Camp, L Jean
Hawaii International Conference on System Sciences (HICSS), 2022
Protecting IoT Devices through Localized Detection of BGP Hijacks for Individual Things
Kim, DongInn and Andalibi, Vafa and Camp, Jean
2021 IEEE Security and Privacy Workshops (SPW), 2021
On the Analysis of MUD-Files’ Interactions, Conflicts, and Configuration Requirements Before Deployment
Andalibi, V and Lear, E and Kim, D and Camp, J
5th EAI International Conference on Safety and Security in Internet of Things, SaSeIoT. Springer, 2021
Making Access Control Easy in IoT
Andalibi, Vafa and Dev, Jayati and Kim, DongInn and Lear, Eliot and Camp, L Jean
International Symposium on Human Aspects of Information Security and Assurance, 2021
Is Visualization Enough? Evaluating the Efficacy of MUD-Visualizer in Enabling Ease of Deployment for Manufacturer Usage Description (MUD)
Andalibi, Vafa and Dev, Jayati and Kim, DongInn and Lear, Eliot and Camp, L Jean
Annual Computer Security Applications Conference, 2021
Fingerprinting Edge and Cloud Services in IoT
Kim, DongInn and Andalibi, Vafa and Camp, L Jean
2020 13th International Conference on Systematic Approaches to Digital Forensic Engineering (SADFE), 2020
Throwing MUD into the FOG: Defending IoT and Fog by expanding MUD to Fog network
Andalibi, Vafa and Kim, DongInn and Camp, Jean
2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 19), 2019
Controlling complexity of cerebral cortex simulations—II: Streamlined microcircuits
Hokkanen, Henri and Andalibi, Vafa and Vanni, Simo
Neural computation, 2019
Controlling complexity of cerebral cortex simulations—I: CxSystem, a flexible cortical simulation framework
Andalibi, Vafa and Hokkanen, Henri and Vanni, Simo
Neural computation, 2019
Building wireless sensor networks with biological cultures: components and integration challenges
Christophe, Francois and Laukkarinen, Teemu and Mikkonen, Tommi and Massera, Jonathan and Andalibi, Vafa
International Journal of Parallel, Emergent and Distributed Systems, 2017
Analysis of Paradoxes in Fingerprint Countermeasures
Andalibi, Vafa and Christophe, Francois and Mikkonen, Tommi and others
Proceedings of the 21st Conference of Open Innovations Association FRUCT, University of Helsinki, Helsinki, Finland, 2017
SiMEA: a Framework for simulating neurons on Multi-Electrode Array
Andalibi, Vafa and Aaltonen, Timo and Christophe, Francois and Mikkonen, Tommi
38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016
From in-silico Spiking Neural Networks to in-vitro Neural Networks
Christophe, Francois and Andalibi, Vafa and Lenk, Kerstin and Mikkonen, Tommi and Hyttinen, Jari
38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016
Effective Connectivity Analysis in Brain Networks: A GPU-Accelerated Implementation of the Cox Method
Andalibi, Vafa and Christophe, Francois and Laukkarinen, Teemu and Mikkonen, Tommi
IEEE Journal of Selected Topics in Signal Processing, 2016
W2E---Wellness Warehouse Engine for Semantic Interoperability of Consumer Health Data
Honko, Harri and Andalibi, Vafa and Aaltonen, Timo and Parak, Jakub and Saaranen, Mika and Viik, Jari and Korhonen, Ilkka
IEEE journal of biomedical and health informatics, 2015
Survey and evaluation of neural computation models for bio-integrated systems
Christophe, Francois and Andalibi, Vafa and Laukkarinen, Teemu and Mikkonen, Tommi and Koskimies, Kai
undefined, 2015
Pattern recognition with spiking neural networks: a simple training method
Christophe, Fran{c{c}}ois and Mikkonen, Tommi and Andalibi, Vafa and Koskimies, Kai and Laukkarinen, Teemu
14th Symposium on Programming Languages and Software Tools, 2015
Data correction for seven activity trackers based on regression models
Andalibi, Vafa and Honko, Harri and Christophe, Francois and Viik, Jari
37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
My Achievements
Honors and Awards
HICSS Best Paper Award Nominee
Our paper was nominated for best paper award in the Software Technology track.
Winning HackIN Competition
We were ranked first in the HackIN Reverse Engineering Hackathon in Indianapolis and won the $4000 prize

EMBS Open Finalist
My paper "SiMEA: a Framework for simulating neurons on Multi-Electrode Array" selected as a finalist of the Student Paper Competition (SPC) in The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'16), Florida, USA.
Demola Tampere Best Project Award
Our project won the best project award and Intel, as our project partner, licensed our product based on our prototype.
My Hobbies &
Interests
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Music
MusicMusic is my lifelong interest. I compose and arrange music from time to time and play four musical instruments: Piano, Tar, Setar and Tonbak. I am also member of Teekkarikuoro, i.e. choir group of engineering students of Tampere. I love classical, Jazz and Traditional Iranian music.
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Articles
Journal ArticlesI follow some journals and conferences related to my research areas of interest at my leisure, e.g. TIFS, EMBC and IMCS. On top of that, I read recommended online articles published in scientific magazine such as Technology Review and Wired.
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Coding
ProgrammingI literally enjoy coding in any programming language. The research becomes more interesting when it intersects programming and that is when I will be engrossed in the research.
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Technology
Latest GadgetsI am eager to learn about and work with new gadgets. It is of most interest to me when the gadget is meant for development or programming, e.g. Raspberry Pi mini computer.
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Sports
SportsDoing sports, e.g. jogging, volleyball and swimming, is part of my interests. I believe disciplining oneself to do sport on a regular basis, although difficult, is the high-road to a healthy mind.
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Podcast
PodcastPodcasts could be informative and brain-boosting, if selected wisely. I usually listen to my podcast collection at my dead times.
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Tutoring
TutoringI was tutor of new exchange students in TUT. As long as I have time for it, I volunteer to help new coming students because it makes me happy that I am helping others.
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Photography
PhotographyPhotographing is among my absorbing hobbies. I firmly believe that it changes the way I see things and helps me to express my perspectives. I also have an official photography certificate from Iran ministry of culture.