Curriculum Vitae | Tanmoy Chowdhury

Profile

I am a Computer Scientist and Ph.D. in Information Technology who loves to connect the dots between theoretical research and real-world application. With a robust foundation in AI and Cybersecurity, my work spans graph-based learning, influence maximization, and biometric privacy, published in top-tier venues including ACM SIGKDD, ACM CCS, and IEEE TKDE.

As the Founder & CTO of Arprax, I bridge the gap between academia and industry by building AI-powered platforms. My technical background is further grounded by experience as a Senior Programmer Analyst in government and hands-on cybersecurity research at George Mason University’s Center for Secure Information Systems.

I am an experienced instructor of core CS courses—including programming, data structures, and algorithms—seeking a tenure-track faculty role. My goal is to advance experiential learning, mentor the next generation of innovators, and contribute to collaborative research in AI and Computer Science.

Contact

Skills

Programming

PythonC#VB.NETJavaMatlabSQLHTMLCSSJavaScriptRBash

Software Dev

.NET FrameworkEntity FrameworkMVCBootstrapAndroidFlaskSSISSDLCAgile

Version Control

Team Foundation Version ControlGit

AI & Libraries

PyTorchScikit-learnNumPyPandasTensorFlowNetworkXNLTKMatplotlibGensimSeabornBeautifulSoup4React

Tools & IDEs

AnacondaPyCharmIntelliJVS CodeVisual StudioSSMSTableauJira

Cloud & HPC

SLURMGoogle Cloud Platform

Security

WiresharkVeriFinger

Multiphysics

AnsysCOMSOL (AC/DC)

Networking

TCP/IPOSPFBGPHTTP/SDNSDHCPVPNIPv6

Industry Experience

Established Arprax, a consultancy delivering advanced solutions in Software Engineering, AI, and Analytical Systems. Engineered core technology stacks and scalable architectures tailored to complex industrial challenges.

Streamlined Assessor system data exchange via SSDT (optimizing ETL by 50-67%). Integrated state renewal platform with BSC via dual-layer data integration (API, SSIS). Supported server/database migrations and ensured .NET application stability.

Project in charge of electrification of ships, designing and supervising electrical installation, operation, commissioning, and maintenance of navigation/fishing equipment.

Research Experience

Led 8-bit quantization of deep learning models in PyTorch to boost performance on custom hardware, focusing on method analysis and accuracy-efficiency trade-offs.

Addressed limitations in learning-based Influence Maximization (DeepIM). Tackled source localization in cross-networks (CNSL) and solved multiplex influence maximization (MIM-Reasoner) using RL and probabilistic models.

Created DETECTIVE (spatiotemporal event subtyping), DynAttGraph2Seq (health stage prediction), and DeepGAR (analogical reasoning with geometric embeddings).

Developed RAPTA, a novel representation-learning architecture using Bi-LSTM for automated feature engineering and early prediction of Path-based Timing Analysis.

Contributed to TenSketch, a cryptographic primitive adapting secure sketches for biometric key generation, ensuring user-biometric privacy.

Investigated cochlear implant electrode influence on auditory nerve response. Developed motion-tracking systems for shooting training using smartphone sensors.

Teaching Experience

Data Structures and Algorithms (Java & Python)
Taught fundamentals of linear/non-linear data structures and algorithm analysis. Prepared students for complex algorithms used in AI and ML.

Intro to Object Oriented Programming
Covered core OOP concepts in Python (classes, inheritance, polymorphism) and OOD using UML.

Introduction to Programming
Taught problem-solving skills using procedural programming (Python) including variables, conditionals, functions, and iteration.

Bioengineering Signal/Systems & Circuits
Conducted recitation classes for signal conversion and circuit analysis methods.

Selected Publications

For a complete list of works, please visit my Google Scholar profile.

Deep Multi-task Learning for Spatio-Temporal Incomplete Qualitative Event Forecasting

Tanmoy Chowdhury, Yuyang Gao, and Liang Zhao

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 Code Impact Factor: 9.235

Deep graph representation learning influence maximization with accelerated inference

Tanmoy Chowdhury, Chen Ling, Junji Jiang, Junxiang Wang, My T Thai, and Liang Zhao

Neural Networks (Elsevier), 2024 Code Impact Factor: 6.0

Source Localization for Cross Network Information Diffusion

Chen Ling, Tanmoy Chowdhury (co-first author), Jie Ji, Sirui Li, Andreas Züfle, and Liang Zhao

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024 Code Acceptance Rate: ~20%

MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization

Nguyen Do, Tanmoy Chowdhury, Chen Ling, Liang Zhao, and My T Thai

27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Code Acceptance Rate: 27.58%

Knowledge-enhanced Neural Machine Reasoning: A Review

Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, and Liang Zhao

arXiv preprint arXiv:2302.02093, 2023

Domain specialization as the key to make large language models disruptive: A comprehensive survey

Chen Ling, Xujiang Zhao, Jiaying Lu, Deng Chengyuan... Tanmoy Chowdhury... et al.

ACM Computing Surveys, 2023 Cited by 2024 Economic Report of the President of the U.S.

DeepGAR: Deep Graph Learning for Analogical Reasoning

Chen Ling, Tanmoy Chowdhury (co-first author), Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, and Liang Zhao

IEEE International Conference on Data Mining (ICDM), 2022 Code Acceptance Rate: 20%

RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis

Tanmoy Chowdhury, Ashkan Vakil, Banafsheh Saber Latibari, Seyed Aresh Beheshti Shirazi, Ali Mirzaeian, Xiaojie Guo... and Liang Zhao

Proceedings of the Great Lakes Symposium on VLSI (GLSVLSI), 2022 Code Acceptance Rate: 27%

Modeling Health Stage Development of Patients with Dynamic Attributed Graphs in Online Health Communities

Yuyang Gao, Tanmoy Chowdhury (co-first author), Lingfei Wu, and Liang Zhao

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 Code Impact Factor: 9.235

Multisketches: Practical secure sketches using off-the-shelf biometric matching algorithms

Rahul Chatterjee, M Sadegh Riazi, Tanmoy Chowdhury, Emanuela Marasco, Farinaz Koushanfar, and Ari Juels

ACM SIGSAC Conference on Computer and Communications Security (CCS), 2019 Acceptance Rate: 16%

Effects of electrode position on spatiotemporal auditory nerve fiber responses: A 3D computational model study

Soojin Kang, Tanmoy Chowdhury, Il Joon Moon, Sung Hwa Hong, Hyejin Yang, Jong Ho Won, and Jihwan Woo

Computational and Mathematical Methods in Medicine, 2015 Impact Factor: 1.384

Education

George Mason University, USA
Dissertation: Cross domain reasoning based on graph deep learning.
Presentation: Watch Defense
CGPA: 4.0/4.0

George Mason University, USA
Concentration: Human-Computer Interaction.
CGPA: 3.7/4.0

University of Ulsan, South Korea
Thesis: Development of a shooting training system using motion sensors and smartphone.
CGPA: 4.45/5.0

Chittagong University of Engineering & Technology, Bangladesh
Thesis: Prospects of smart grid in Bangladesh.
CGPA: 3.05/4.0

Selected Projects

Arprax Algorithms

2025 - Present

An industrial-grade Python library designed to bridge the gap between academic algorithms and production-ready data intelligence tools.

It provides optimized implementations of complex data structures for large-scale analytics, serving as a foundational technology for Arprax's consultancy solutions.

PythonPyPIAlgorithm DesignCI/CD

unixLiveResponseTools

2020

Automated forensic data collection toolkit for Unix-based systems. Designed for incident response to capture volatile data (RAM, process list, network connections) before powering down.

Recognition: Contributed to the 2020 GitHub Arctic Code Vault ❄️.

BashLinux ForensicsIncident Response

Source

Grants, Awards & Honors

Key researcher on projects funding top-tier publications (ACM SIGKDD, IEEE TKDE, ACM CCS).
Award IDs: 1822094, 2113350, 2146726, 2318831, 2403312

Supported Master's Thesis in Bioengineering at University of Ulsan.