CV

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Education

Ph.D., Computer Science, New Jersey Institute of Technology (NJIT), Sep 2022 – May 2026 (expected)
Advisor: Prof. David A. Bader • Dissertation: High-Performance and Scalable Graph Analytics for Real-World Applications • GPA: 3.88
M.S., Computer Architecture Engineering, Azad University (Science & Research Branch), Sep 2008 – Feb 2011
Thesis: Topology Control for Multi-Hop Data Traffic in Wireless Sensor Networks
B.S., Computer Hardware Engineering, Shahid Beheshti University, Sep 1993 – Sep 1999

High-Performance Computing (HPC); Parallel Graph Algorithms; Graph Neural Networks (GNNs); Graph Representation Learning; Knowledge Graphs.

Research Assistant, NJIT – Bader Lab (Sep 2022 – Present)
- Developed HiPerMotif, HiPerXplorer, and VF2-PS for scalable motif discovery/subgraph isomorphism (10–100× speedups).
- Co-authored MoMo (adopted by Harvard, RWTH Aachen, Zuse Institute Berlin, Würzburg) for connectome analysis.
- Contributor to Arkouda-NJIT (Chapel/HPC ecosystem).
- Key Personnel on NSF projects: CCF-2109988, CCF-2453324, OAC-2402560; collaboration with UIUC (OAC-2402559/2402560).
Earlier Roles (2003–2022)
Consultant/Lecturer in ICT (IT Service Management, BPMS, telecom infrastructure); leadership and R&D across PMG Co., ICTRH, ITRC.

HiPerXplorer: parallel k-subgraph enumeration engine (manuscript in prep).
Motif-Augmented Message Passing (MMP) for GNNs (ongoing).
Combinatorial Multigrid (CMG) for pooling/unpooling/coarsening in GNNs (ongoing).
NSF OAC Collaborative Project: Cyber-Infrastructure for Community Detection, Extraction, and Search in Large Networks (OAC-2402559/2402560).
*On the Optimization of Methods for Establishing Well-Connected Communities (submitted, 2025).
TempAnom-GNN: temporal GNNs for real-time fraud/cybersecurity (in progress, 2025).

Program Committee Member & Reviewer: ACM ICMR 2025
Reviewer: IEEE HPEC 2023–2025 (assignments via Prof. David Bader); ACM ICMR (4 papers)

Teaching Assistant, NJIT (CS114 Honors)
Mentored 3 undergraduates in HPC/GNNs (one co-authored a peer-reviewed paper)
Lecturer, ICT Research Institute (2010–2019); Azad University (2014–2015)

Lead developer of HiPerMotif, HiPerXplorer, VF2-PS (open-source).
VF2-PS adopted in MoMo (Harvard, RWTH Aachen, Zuse Institute Berlin, Würzburg).
Contributions span neuroscience (connectomics), HPC frameworks (Arkouda/Chapel), graph learning, with applications to bioinformatics, cybersecurity, and fraud detection.
11 citations, h-index 2 (Google Scholar).

Programming & HPC: Python, C/C++, Chapel, MPI, OpenMP, Parallel Graph Algorithms
Deep Learning: PyTorch, TensorFlow, PyG, DGL
Graph Learning: GCN, GraphSAGE, GAT, SIGN, Knowledge Graphs, DiffPool, GraphUNet, MinCutPool, SAGPool, CMGPooling
Other: Hugging Face, LangChain, FAISS, SQL, AWS, Azure