Profile
I am a Computer Scientist and Ph.D. in Information Technology dedicated to connecting the dots between theoretical research and industrial execution. My work centers on Cross-Domain Reasoning and Generalized AI Models, with research in graph-based learning and influence maximization published in top-tier venues including ACM SIGKDD and IEEE TKDE.
As the Founder & CTO of Arprax, I lead the architecture of scalable, AI-powered platforms designed for multi-domain impact. My approach bridges the gap between high-level academic theory and production-ready software, leveraging a deep technical background in developing complex, generalized systems.
I am committed to advancing the field of AI through collaborative research and the development of open-source tools. My mission is to build intelligent systems that transcend traditional domain boundaries, fostering innovation through robust engineering and cross-disciplinary reasoning.
Contact
- tanmoysr2026@gmail.com
- Nacogdoches, Texas
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- GitHub
- Google Scholar
- ResearchGate
- ORCID
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
Founder & CTO at Arprax Sep 2025 - Present
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.
Sr. Programmer Analyst at Richland County Gov Sep 2023 - Jul 2025
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.
Assistant Engineer at Western Fishers Shipyard Jun 2012 - Jan 2014
Project in charge of electrification of ships, designing and supervising electrical installation, operation, commissioning, and maintenance of navigation/fishing equipment.
Research Experience
Consultant at Leo Green AI Nov 2024 - Jun 2025
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.
Postdoctoral Fellow at Emory University Jun 2023 - Sep 2023
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.
Research Assistant at Dr. Zhao's Lab (GMU) Jul 2019 - May 2023
Created DETECTIVE (spatiotemporal event subtyping), DynAttGraph2Seq (health stage prediction), and DeepGAR (analogical reasoning with geometric embeddings).
Research Assistant at GATE Lab (GMU) Jul 2020 - Jun 2021
Developed RAPTA, a novel representation-learning architecture using Bi-LSTM for automated feature engineering and early prediction of Path-based Timing Analysis.
Research Assistant at CSIS (GMU) Oct 2018 - Jul 2019
Contributed to TenSketch, a cryptographic primitive adapting secure sketches for biometric key generation, ensuring user-biometric privacy.
Research Assistant at CNE Lab (Univ of Ulsan) Feb 2014 - May 2016
Investigated cochlear implant electrode influence on auditory nerve response. Developed motion-tracking systems for shooting training using smartphone sensors.
Teaching Experience
GTA: IT 306 & IT 309 Fall 2021 - Spring 2023
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.
Taught fundamentals of linear/non-linear data structures and algorithm analysis. Prepared students for complex algorithms used in AI and ML.
GTA: IT 209 Fall 2019 - Summer 2021
Intro to Object Oriented Programming
Covered core OOP concepts in Python (classes, inheritance, polymorphism) and OOD using UML.
Covered core OOP concepts in Python (classes, inheritance, polymorphism) and OOD using UML.
GTA: IT 109 Summer 2019 - Summer 2020
Introduction to Programming
Taught problem-solving skills using procedural programming (Python) including variables, conditionals, functions, and iteration.
Taught problem-solving skills using procedural programming (Python) including variables, conditionals, functions, and iteration.
GTA: BENG 320 & 380 Fall 2016 - Spring 2017
Bioengineering Signal/Systems & Circuits
Conducted recitation classes for signal conversion and circuit analysis methods.
Conducted recitation classes for signal conversion and circuit analysis methods.
Selected Publications
For a complete list of works, please visit my Google Scholar profile.
Education
Ph.D. in Information Technology
May 2023 George Mason University, USA
Dissertation: Cross domain reasoning based on graph deep learning.
Presentation: Watch Defense
CGPA: 4.0/4.0
Dissertation: Cross domain reasoning based on graph deep learning.
Presentation: Watch Defense
CGPA: 4.0/4.0
M.S. in Applied Information Technology
Dec 2018 George Mason University, USA
Concentration: Human-Computer Interaction.
CGPA: 3.7/4.0
Concentration: Human-Computer Interaction.
CGPA: 3.7/4.0
M.S. in Biomedical Engineering
Feb 2016 University of Ulsan, South Korea
Thesis: Development of a shooting training system using motion sensors and smartphone.
CGPA: 4.45/5.0
Thesis: Development of a shooting training system using motion sensors and smartphone.
CGPA: 4.45/5.0
B.S. in EEE
Sep 2011 Chittagong University of Engineering & Technology, Bangladesh
Thesis: Prospects of smart grid in Bangladesh.
CGPA: 3.05/4.0
Thesis: Prospects of smart grid in Bangladesh.
CGPA: 3.05/4.0
Selected Projects & Research
For a complete list of technical implementations, please visit my GitHub profile & Projects page.
Alnoms
ProjectIndustrial-grade Python library bridging academic algorithms with production tools.
unixLiveResponseTools
ProjectAutomated forensic data collection toolkit for Unix systems. Arctic Code Vault Contributor ❄️.
Graph Learning & Network Dynamics
ResearchFocus: Influence maximization, source localization, and graph neural networks.
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Deep graph representation learning influence maximization with accelerated inference
Neural Networks (Elsevier), 2024 -
Source Localization for Cross Network Information Diffusion
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024 -
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization
27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024 -
DeepGAR: Deep Graph Learning for Analogical Reasoning
IEEE International Conference on Data Mining (ICDM), 2022
Security, Hardware & Systems
ResearchFocus: Applied cryptography, VLSI timing analysis, and secure biometric sketches.
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RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis
Proceedings of the Great Lakes Symposium on VLSI (GLSVLSI), 2022 -
Multisketches: Practical secure sketches using off-the-shelf biometric matching algorithms
ACM SIGSAC Conference on Computer and Communications Security (CCS), 2019
2015 - 2024
Focus: Forecasting events in dynamic environments (Healthcare, Spatial data).
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Deep Multi-task Learning for Spatio-Temporal Incomplete Qualitative Event Forecasting
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 -
Modeling Health Stage Development of Patients with Dynamic Attributed Graphs in Online Health Communities
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 -
Effects of electrode position on spatiotemporal auditory nerve fiber responses: A 3D computational model study
Computational and Mathematical Methods in Medicine, 2015
State-of-the-Art AI Reviews
ResearchFocus: Major survey papers on LLMs and Neural Reasoning.
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Knowledge-enhanced Neural Machine Reasoning: A Review
arXiv preprint arXiv:2302.02093, 2023 -
Domain specialization as the key to make large language models disruptive: A comprehensive survey
ACM Computing Surveys, 2023
Grants, Awards & Honors
National Science Foundation (NSF) Research Support
2018 – 2024 - Key researcher on projects funding top-tier publications (ACM SIGKDD, IEEE TKDE, ACM CCS).
- Award IDs: 1822094, 2113350, 2146726, 2318831, 2403312
Provost Research Fellowship College of Science, George Mason University, USA
Summer 2017 Graduate Student Award University of Ulsan, South Korea
2014 – 2016 Korea Sports Promotion Foundation Funding
2014 – 2015 - Supported Master's Thesis in Bioengineering at University of Ulsan.