Associate Research Scientist · Division of Engineering · NYU Abu Dhabi
Materials scientist working at the boundary of what can be designed and what a laser can actually build — architected TPMS metamaterials, NiTi shape memory alloys, and the process-structure-property chain that connects them.
About
I'm an Associate Research Scientist in the Division of Engineering at New York University Abu Dhabi, where my work centers on architected metamaterials — mathematically defined Triply Periodic Minimal Surface (TPMS) lattices such as Gyroid, Schwarz Primitive, and Diamond topologies — built through additive manufacturing and pushed toward real structural and biomedical use.
A large part of that work lives inside Nitinol (NiTi) shape memory alloys: understanding how Laser Powder Bed Fusion parameters — laser power, scan speed, energy density — reshape the microstructure and phase transformation behavior of a lattice as it's printed, layer by layer. I hold a PhD in Materials Science and Technology from the Academy of Scientific and Innovative Research (AcSIR) at CSIR-AMPRI, Bhopal, and a BE in Mechanical Engineering from UIT-RGPV, also in Bhopal.
Before NYU Abu Dhabi, I spent four years as a Postdoctoral Fellow at Khalifa University, and earlier, as a Project Fellow at CSIR-AMPRI working on copper-based shape memory alloys via vacuum induction melting. Across that decade the throughline has stayed the same: computational design, additive manufacturing, and experimental characterization, increasingly tied together with Python and machine learning to predict how a material will actually behave before it's printed.
Research Focus
Everything below feeds the same question: how do design decisions and print parameters end up encoded in a material's final microstructure?
Designing Gyroid, Schwarz Primitive, and Diamond lattices with tunable stiffness and energy absorption — architected structures whose mechanical response comes from geometry, not chemistry.
Investigating how LPBF process parameters govern phase transformation behavior — the martensite-to-austenite switch that lets a printed lattice "remember" its shape — and where that transformation goes wrong.
Building Python and ML pipelines — SEM image segmentation, DSC transformation-temperature extraction, process-property correlation models — to turn characterization data into predictive tools.
Progress in Additive Manufacturing — with Haris Mehraj, Mohamed Moustafa & Nikolaos Karathanasopoulos
Studies the effect of carbon fiber reinforced composite and annealing on mechanical properties of TPMS gyroid cubes.
doi.org/10.1007/s40964-026-01791-9Journal of Materials Engineering and Performance — with Ali N. Alagha, Wael Zaki
Examines how LPBF processing shapes the martensite/austenite transformation behavior of printed NiTi TPMS lattices.
doi.org/10.1007/s11665-024-09162-7Journal of Manufacturing Processes, Vol. 102, pp. 375–386 — with Ali N. Alagha, Gregory N. Haidemenopoulos, Wael Zaki
Maps Ni evaporation and oxide/Ti-rich phase formation across Primitive and Gyroid topologies as a function of LPBF parameters.
doi.org/10.1016/j.jmapro.2023.07.055Materials, 15(22), 7950 — with Ali N. Alagha, Wael Zaki
Characterizes balling and intergranular cracking in Schwarz-P NiTi layers across relative densities and scan strategies.
doi.org/10.3390/ma15227950ASME IMECE 2022, Columbus, Ohio
Links TPMS geometry to melt-pool dynamics and resulting solidification-driven microstructural variation.
ASME Digital Collection →Applied Innovative Research, 1, pp. 29–37 — with Abhishek Pandey, Rupa Dasgupta
Doctoral-era work on boron-doped Cu-Al-Ni alloys, part of the AcSIR/CSIR-AMPRI PhD research program.
Advanced Materials Proceedings, 2(1), 22–25 — with Ashish Kumar Jain, M.A. Ansari, Abhishek Pandey, Rupa Dasgupta
doi.org/10.5185/amp.2017/106Capabilities
Hands-on operation, not just specification — from powder bed to fracture surface.
Selected Projects
Computational generation of Gyroid, Schwarz-P, and Diamond TPMS unit cells with tunable relative density for structural and damping applications.
Process-aware redesign of parts for metal LPBF — support strategy, orientation, and geometry adjustments to reduce residual stress and cracking.
ML models trained on mechanical-test and DSC data to predict phase-transformation temperatures and structural performance ahead of physical testing.
3D-printed TPMS lattices impregnated with resin to create multiphase architected composites with enhanced damping and structural performance.
Credentials