Dr. Shahadat Hussain

Dr. Shahadat Hussain, PhD, is a Research Associate in the Division of Engineering at Khalifa University (PO Box 129188, Abu Dhabi, United Arab Emirates). He specializes in metamaterials, 3D printing (additive manufacturing), and shape memory materials, with the guiding principle that “without materials, there is no engineering” and “structure at small scales determines performance at large ones.” His work advances materials science through computational design, additive manufacturing, and experimental characterization, focusing on architected structures such as triply periodic minimal surface (TPMS) lattices (primitive, gyroid, etc.) and their applications in aerospace, robotics, biomedical devices, and lightweight engineering.

Education and Early Career

Dr. Hussain earned his PhD in Materials Science and Technology (2014–2019) from the Academy of Scientific and Innovative Research (AcSIR) at CSIR-AMPRI, Bhopal, India. His doctoral research centered on the design and development of thermo-responsive and magnetic copper-based shape memory alloys, including fabrication via vacuum induction melting, secondary deformation, and characterization through microscopy, thermal analysis, and mechanical testing.

He holds a Bachelor of Engineering in Mechanical Engineering (2008–2012) from UIT-RGPV, Bhopal. Early professional experience includes an internship at Steel Authority of India Limited (SAIL) in Bokaro (2011), a lectureship in Mechanical Engineering at Oriental Group of Institutions, Bhopal (2012–2013), and a Project Fellow role in the Smart and Functional Materials Department at CSIR-AMPRI (2013–2014).

Current Role and Research Expertise

Since February 2020, Dr. Hussain has served as a Postdoctoral Fellow and Research Associate at Khalifa University. His primary research explores NiTi shape memory alloys fabricated via laser powder bed fusion (LPBF), TPMS metamaterial lattices, carbon/glass fiber-reinforced polymer composites for large-scale 3D printing, and green steel additive manufacturing using fused filament fabrication (FFF).

Key research interests include:

• TPMS metamaterials and lattice structures

• Laser powder bed fusion (LPBF) and other additive manufacturing techniques (FFF, SLA, PolyJet, DED)

• Shape memory alloys (NiTi, Cu-Al-Ni, Cu-Al-Mn)

• Mechanical testing (tensile, compression, fatigue, bending)

• Advanced materials characterization (SEM, FIB-SEM, XRD, DSC, OES)

• Metallography, heat treatment, and microstructural analysis

He has hands-on expertise with equipment such as Raise3D Pro3 Plus HS, Stratasys F370/J850, Formlabs Form 3, EOS M400, Meltio robotic DED systems, Instron/MTS universal testing machines, JEOL/FEI SEMs, Bruker/Rigaku XRD, and various grinders/polishers.

Dr. Hussain also maintains a strong data science portfolio, applying Python, MATLAB, machine learning, and statistical tools to materials problems (e.g., Falcon 9 booster landing prediction capstone and supervised ML regression/classification projects hosted on GitHub).

Key Projects

• Large-Scale 3D Printing of Carbon Fiber–Reinforced Composite Metamaterials (Sep 2024–present, Khalifa University): Design, fabrication, mechanical testing, microstructural analysis, and numerical modeling of gyroid/primitive lattice beams and cubes using carbon-fiber PLA/PPA composites.

• Additive Manufacturing and Constitutive Modeling of NiTi Shape Memory Alloys (Feb 2020–Jun 2024, Khalifa University): LPBF fabrication of NiTi TPMS lattices, phase transformation studies, microstructural/surface analysis, fatigue modeling, and publication of novel findings.

• Design and Development of Thermo-Responsive and Magnetic Shape Memory Materials (2013–2019, CSIR-AMPRI): Copper-based alloys for wires/strips, with five SCI journal publications.

• Analysis of Producer Gas from Biomass Gasification (2012, RGPV): Feasibility study using local biomass wastes.

Publications and Research Impact

Dr. Hussain has 15+ documents, 450+ citations, an h-index of 10, and an i10-index of 10 (per Google Scholar). Notable peer-reviewed works include:

• “Phase Transformation Behavior of NiTi Triply Periodic Minimal Surface Lattices Fabricated by Laser Powder Bed Fusion” (Journal of Materials Engineering and Performance, 2024).

• “Microstructural and Surface Analysis of NiTi TPMS Lattice Sections Fabricated by Laser Powder Bed Fusion” (Journal of Manufacturing Processes, 2023).

• “Imperfections Formation in Thin Layers of NiTi Triply Periodic Minimal Surface Lattices Fabricated Using Laser Powder Bed Fusion” (Materials, 2022).

• “Additive Manufacturing of Shape Memory Alloys: A Review…” (Materials & Design, 2021).

• Earlier work on nano-CeO₂-doped Cu-Al-Ni shape memory alloys (Metals and Materials International, 2021).

He has presented at ASME IMECE 2022 and contributes as a journal reviewer. Recent updates (as of 2026) include papers communicated to Progress in Additive Manufacturing and ongoing flexural testing of metamaterial beams.

Skills, Certifications, and Teaching

Dr. Hussain is proficient in:

• Programming and data science: Python (Pandas, NumPy, SciPy, Scikit-learn, Matplotlib, Seaborn, Plotly), MATLAB, SQL, Linux/shell scripting, LaTeX.

• CAD/CAM/CAE: FreeCAD, SolidWorks, Materialise Magics, Cura, IdeaMaker.

• Machine learning and image processing (MATLAB, OpenCV, Scikit-image).

He holds multiple Coursera certifications, including:

• Arizona State University – Additive Manufacturing Specialization

• IBM Data Science Professional Certificate

• Google AI Essentials

• University of Michigan – Python for Everybody Specialization

• Stanford Machine Learning Specialization

• MathWorks Image Processing and Practical Data Science with MATLAB

Teaching interests cover manufacturing processes, engineering materials, thermodynamics, heat transfer, and mechanics of materials. He completed Khalifa University’s teaching certificate course (2023), lab safety training, and CITI Responsible Conduct of Research (2020).

Online Presence and Collaboration

Dr. Hussain actively engages across platforms: LinkedIn, Google Scholar, ORCID (0000-0002-4355-2169), ResearchGate, GitHub (drshahadathussain), Scopus, Web of Science, Kaggle, and more. He welcomes collaborations with researchers (metamaterials, TPMS, SMAs), industry partners (additive manufacturing challenges), and journal editors (peer review).

He maintains a research blog for real-time updates on experiments, reviews, and milestones, and offers contact via email (contact@shahadathussain.com) or the site form.

Designed and maintained by Dr. Shahadat Hussain himself, his website serves as a comprehensive portfolio of his contributions to advanced materials and additive manufacturing. His work bridges experimental innovation with data-driven insights, pushing the boundaries of smart, architected materials for real-world engineering impact.