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Dr. Shahadat Hussain
Research Associate
Division of Engineering
Abu Dhabi, United Arab Emirates
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Additive Manufacturing/3D Printing, Laser Powder Bed Fusion/ Selective Laser Melting, Shape Memory Alloys (NiTi and Cu-based alloys), Induction Melting Die Casting, Hot Rolling (Two-Roll Mill), Mechanical Testing (Tensile, Compression and Fatigue Testing), Optical and Electron Microscopy, X-ray diffractrometry, Python, Computer Aided Design (CAD), SQL, Data Analysis, Project Management, Collaboration/Team Work, Data Science, Scientific Computing, Experimental Research
TABLE OF CONTENTS
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Profile Summary
Metamaterial Composites Development: Specializing in creating metamaterial composites using carbon and glass fibers with polymer matrices, and advancing green steel additive manufacturing via Fused Filament Fabrication (FFF) for heavy structural applications.
Additive Manufacturing Expertise: Proficient in FFF, Selective Laser Melting/Laser Powder Bed Fusion (focusing on NiTi TPMS structures), Stereolithography (SLA), and PolyJet, using Raise3D, Formlabs, Stratasys, and EOS M400 printers, plus ABB robotic arm with Meltio wire filament printing head.
Advanced Scientific Equipment Skills: Experienced in operating JEOL, FEI Quanta 3D FIB, and Nova NanoSEM for SEI, BSE, and EDS, alongside Bruker D2 and Rigaku MiniFlex X-ray diffractometers, Leica microscopes, and Mettler Toledo/Setaram DSC for thermal analysis.
Mechanical Testing and Processing: Skilled in tensile, compression, and fatigue testing using Instron machines, with expertise in vacuum induction melting, hot/cold rolling, heat treatment, quenching, metallography, and etching.
Academic and Professional Background: Holds a PhD in Materials Science and Technology and a Bachelor’s in Mechanical Engineering, with published research on copper-based shape memory alloys, teaching experience, and transferable skills in data analysis, teamwork, and project management.
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Specializations
PRACTICAL DATA SCIENCE WITH MATLAB SPECIALIZATION (Ongoing...)
MATHWORKS
The specialization comprises four courses designed to equip learners with essential data science skills using MATLAB. The courses include Data Preprocessing and Visualization, Statistical Analysis and Modeling, Introduction to Machine Learning, and a Capstone Project. In this specialization, one will learn to import, clean, and visualize data with MATLAB’s plotting tools, such as scatter plots and histograms, and apply statistical methods and predictive modeling for data analysis. Additionally, one will gain hands-on experience building basic machine learning models and analyzing real-world datasets, such as those related to severe weather costs and flight delays. The capstone project integrates these skills, enabling one to extract insights from raw data and create predictive models, making this specialization ideal for mastering data analysis, visualization, and modeling in a professional engineering or scientific context.
ADDITIVE MANUFACTURING (June, 2024)
ARIZONA STATE UNIVERSITY
Through this specialization, I gained hands-on experience with six different additive manufacturing (AM) processes, diving deep into everything from prepping the build and machine setup to post-processing the finished parts. But it wasn't just about the mechanics; I also built a strong foundation in AM principles like part orientation, designing specifically for this technology, and how to use supports effectively. Additionally, I learned how to adjust key process parameters to achieve desired mechanical and surface properties in the final product.
IBM DATA SCIENCE PROFESSIONAL CERTIFICATE (April, 2024)
IBM
In this Professional Certificate, I developed and honed hands-on skills in Data Science and Machine Learning. I started with an orientation of Data Science and its Methodology, became familiar with and used a variety of data science tools, learned Python and SQL, performed Data Visualization and Analysis, and created Machine Learning models. In the process, I completed several labs and assignments on the cloud, including a Capstone Project at the end to apply and demonstrate my knowledge and skills.
APPLIED DATA SCIENCE CAPSTONE (April, 2024)
IBM
In this specialization, I developed and enhanced my skills for addressing real-world data science and machine learning issues. The program involved mastering Python, conducting data analysis, and creating data visualizations using Python. Additionally, I completed a Capstone project to showcase my ability to apply and demonstrate the knowledge and skills I acquired.
DATA SCIENCE FUNDAMENTALS WITH PYTHON AND SQL (March, 2024)
IBM
I have demonstrated proficiency in foundational skills crucial for Data Science. This encompasses a strong understanding of open-source tools and libraries such as Jupyter notebooks and R Studio, expertise in Python programming, proficiency in Statistical Analysis techniques, and familiarity with SQL and relational databases. Through executing multiple projects using real-world datasets, I have gained practical experience and applied the same tools and methodologies utilized by professional data scientists. Armed with these competencies and insights, I am prepared to tackle Data Science problems and confront challenges with confidence.
INTRODUCTION TO DATA SCIENCE (March, 2024)
IBM
In this specialized course series, I cultivated fundamental skills in Data Science, positioning myself for a career or continued education in more advanced Data Science topics. The curriculum encompassed an exploration of Data Science principles and the diverse tasks undertaken by Data Scientists. It introduced me to a range of open-source tools, such as Jupyter Notebooks, commonly utilized in the field. Additionally, it delved into methodologies essential for addressing data science challenges and imparted understanding of relational database principles along with proficiency in SQL for database querying. Through hands-on labs and projects, I effectively applied my newly acquired skills and knowledge.
PYTHON FOR EVERYBODY (February, 2024)
UNIVERSITY OF MICHIGAN
This specialized program builds upon the foundations established in the Python for Everybody course, extending its scope to encompass vital programming concepts. These include the study of data structures, networked application interfaces, and databases, all explored within the context of the Python programming language. The pinnacle of this journey is the Capstone Project, where I utilized the insights gleaned from this specialization to create and execute my own applications for tasks such as data retrieval, processing, and visualization.
INTRODUCTION TO LOGIC AND CRITICAL THINKING (January, 2024)
DUKE UNIVERSITY
During this specialized program, I sharpened my aptitude for analyzing and evaluating the viewpoints put forth by others, while also enhancing my capacity to construct compelling arguments. I developed a comprehensive grasp of the fundamentals that underscore persuasive reasoning and learned strategies to augment my critical thinking skills. Furthermore, I attained proficiency in utilizing both deductive and inductive approaches to assess arguments, and I cultivated the ability to recognize and avoid logical fallacies adeptly.
Work Experience
Feb 2020 - Present
Mechanical Engineering
Khalifa University, Abu Dhabi, UAE
Jun 2013 - Aug 2014
Smart and Functional Materials Department
CSIR-Advanced Materials and Processes Research Institute, Bhopal, Madhya Pradesh (MP), India
Sep 2012 - May 2013
Mechanical Engineering
Oriental Group of Institutions, Bhopal, Madhya Pradesh (MP), India
Jun 2011-Jul 2011
Steel Authority of India Limited (SAIL), Bokaro Steel City, Jharkhand, India
Education
PhD (Engineering Sciences) Materials Science and Technology
Aug 2014 - Jul 2019
Academy of Scientific and Innovative Research, CSIR-AMPRI, Bhopal, Madhya Pradesh (MP), India
Bachelor of Engineering (Mechanical Engineering)
Aug 2008 - Jun 2012
UIT-RGPV, Bhopal, Madhya Pradesh (MP), India
Research Areas
Laser Powder Bed Fusion (LPBF) Additive Manufacturing
Shape Memory Alloys
Mechanical Testing and Characterizations (Tensile, Compression and Fatigue Testing, Hardness and Impact)
Microscopy (SEM, TEM and OM)
Thermal Analysis
Teaching Areas
Basic Mechanical Engineering
Engineering Thermodynamics
Heat Transfer
Engineering Materials
Manufacturing Processes
Mechanics of Materials
Expertise
Proficient in operating advanced characterization and analysis equipment:
Scanning Electron Microscopes (SEM): JEOL 7610F, FEI Nova NanovSEM, and FEI Quanta 3D FIB, for imaging and EDS analysis.
X‑ray Diffraction: Utilized Bruker D2 phasor and Rigaku MiniFlex II for crystal structure analysis.
Optical Microscopy: Skilled in using Leica microscopes for detailed observation and analysis.
Thermal Analysis: Experienced in performing differential scanning calorimetry using Mettler Toledo DSC 1 and Setaram instruments.
Optical Emission Spectroscopy: Proficient in utilizing Bruker Q4 Tasman for elemental analysis of copper and nickel‑based alloys.
Mechanical Testing: Conducted tensile and compression tests with Instron 5969 static loading and fatigue testing using Instron 8872 machine.
Metallography: Skilled in metallographic techniques including grinding, polishing, hot and cold mounting, and ultrasonic and plasma cleaning using Struer and Buehler equipment.
Chemical Etching: Competent in performing etching of metal alloys using various etchants, including hydrofluoric acid.
Casting/Fabrication: Experience in alloy casting/fabrication using vacuum induction melting furnace.
Heat Treatment: Proficient in applying heat treatment processes using muffle furnaces with different temperature profiles and quenching cycles.
Rolling: Skilled in both cold and hot rolling techniques of metallic samples using asymmetric two‑roll mill machines.
Additive Manufacturing: Experienced in the additive manufacturing of NiTi shape memory alloys.
Software: Proficient in various software applications including Xpert HighScore Plus, ImageJ, Origin, microscope image analysis software like Gatan Suite, CAD, programming languages such as Python, and word processing tools like LaTeX.
Courses and Training
Completed 10‑week teaching certificate course conducted by Center for Teaching and Learning (CTL) department at Khalifa University in 2023, covering the modules of effective teaching strategies, assessment techniques, ethics, professionalism and boundaries, educational technology tools, active learning and course alignment, classroom dynamics, intercultural communication, and gender communication styles, with several micro-teaching sessions.
Completed hydrofluoric acid handling course in 2021, preparing risk assessment and standard operating procedure forms for chemical etching of 3D printed NiTi samples.
Completed lab safety courses at Khalifa University in 2021, covering topics such as induction, ergonomics, emergency response, waste management, chemical safety, fire safety, risk assessment, electrical and radiation safety, cryogenic substances, ventilation, and personal protective equipment.
Participated in Responsible Conduct of Research (RCR) courses, conducted by Collaborative Institutional Training Initiative (CITI) Program, Florida, US, in 2020, under Course Learner Group of Engineering and Computing RCR, covering subjects of research involving human subjects, plagiarism, authorship, collaborative research, conflicts of interest, data management, research misconduct, and introduction to RCR, achieving 100% grade.
Conducted CSIR‑800 study on entrepreneurship in a village, involving surveying, questionnaire design, consulting with village head and Patwari, data collection, data analysis, and report creation.
Completed 14 subjects during PhD coursework from 2014 to 2016, including materials science and engineering, scientific ethics, technical communications and safety, characterization and analytical techniques, heat treatment, tribology‑science and practice, phase transformation, lightweight materials, powder metallurgy, composite science and engineering, nano science and engineering, materials synthesis and processing, computer simulation and design, functional and smart materials, and cellular materials, achieving distinction.
Certifications
Open Source Software Development Methods, September 2025 [The Linux Foundation]
The Unix Workbench, September 2025 [Johns Hopkins University]
Introduction to Python for Scientific Computing, August 2025 [University of Colorado Boulder]
Generative AI: Elevate Your Data Science Career, August 2025 [IBM]
Introduction to Programming with MATLAB, July 2025 [Vanderbilt University]
MATLAB Onramp, April 2025 [MathWorks]
Tools of the Trade: Linux and SQL, Google Cybersecurity Professional Certificate, January 2025 [Google]
Mastering Linux Command Line, Coursera, December 2024 [Packt]
Hands-on Introduction to Linux Commands and Shell Scripting, Coursera, August 2024 [IBM]
Linux OS, Coursera, July 2024 [Illinois Tech]
Microsoft Windows OS, Coursera, July 2024 [Illinois Tech]
Technical Support Fundamentals, Coursera, July 2024 [Google]
Introduction to Project Management, Coursera, June 2024 [IBM]
Design for Additive Manufacturing, Coursera, June 2024 [Arizona State University]
Selective Laser Sintering and Metal Laser Powder Bed Fusion, Coursera, June 2024 [Arizona State University]
Material Jetting and Stereolithography, Coursera, June 2024 [Arizona State University]
Google AI Essentials, Coursera, June 2024 [Google]
Material Extrusion, Coursera, June 2024 [Arizona State University]
Solving Problems with Creative and Critical Thinking, Coursera, May 2024 [IBM]
Data Science in Real Life, Coursera, May 2024 [Johns Hopkins University]
Introduction to Additive Manufacturing Processes, Coursera, May 2024 [Arizona State University]
Becoming a peer reviewer, Researcher Academy, April 2024 [Elsevier]
Data Scientist Career Guide and Interview Preparation, April 2024 [IBM]
Machine Learning with Python, Coursera, April 2024 [IBM Professional Certificate]
Applied Data Science Capstone, Coursera, April 2024 [IBM Professional Certificate]
Data Visualization with Python, Coursera, March 2024 [IBM Professional Certificate]
Data Analysis with Python, Coursera, March 2024 [IBM Professional Certificate]
3D Printing Applications, Coursera, March 2024 [University of Illinois at Urbana-Champaign]
Statistics for Data Science with Python, Coursera, March 2024 [IBM Professional Certificate]
Python Project for Data Science, Coursera, March 2024 [IBM Professional Certificate]
Introduction to Philosophy, Coursera, March 2024 [The University of Edinburgh]
Python for Data Science, AI & Development, Coursera, March 2024 [IBM Professional Certificate]
Databases and SQL for Data Science with Python, Coursera, March 2024 [IBM Professional Certificate]
Data Science Methodology, Coursera, February 2024 [IBM Professional Certificate]
Tools for Data Science, Coursera, February 2024 [IBM Professional Certificate]
What is Data Science?, Coursera, February 2024 [IBM Professional Certificate]
Capstone: Retrieving, Processing, and Visualizing Data with Python, Coursera, February 2024 [University of Michigan]
Know Thyself-The Value and Limit of Self-Knowledge: The Examined Life, Coursera, February 2024 [The University of Edinburgh]
Think Again IV: How to Avoid Fallacies, Coursera, January 2024 [Duke University]
Philosophy of Science, Coursera, January 2024 [University of Pennsylvania]
Think Again III: How to Reason Inductively, Coursera, January 2024 [Duke University]
The 3D Printing Revolution, Coursera, December 2023 [University of Illinois at Urbana-Champaign]
Think Again II: How to Reason Deductively, Coursera, December 2023 [Duke University]
Think Again I: How to Understand Arguments, Coursera, November 2023 [Duke University]
Emotions: A Philosophical Introduction, Coursera, August 2023 [Universitat Autonoma de Barcelona]
Using Databases with Python, Coursera, July 2023 [University of Michigan]
Developing Your Emotional Intelligence, LinkedIn Learning, July 2023 [Project Management Institute (PMI) Authorized]
FreeCAD: A Basic 3D Modelling, Udemy, June 2023
Skepticism, Coursera, May 2023 [University of California, Irvine]
How to Research and Write using Generative AI Tools, LinkedIn Learning, May 2023
Teaching Certificate Course for Postgraduate Students, May 2023 [Khalifa University]
The Epistemic Quest for Truth: Introduction to Epistemology, Coursera, March 2023 [Erasmus University Rotterdam]
Using Python to Access Web Data, Coursera, March 2023 [University of Michigan]
Python Data Structures, Coursera, February 2023 [University of Michigan]
Programming for Everybody (Getting Started with Python), Coursera, February 2023 [University of Michigan]
Python Quick Start, LinkedIn Learning, January 2023 [NASBA accredited with CPE Credit]
Statistics Foundations 1: The Basics, LinkedIn Learning, October 2022 [NASBA accredited with CPE Credit]
Learning C, LinkedIn Learning, March 2022 [NASBA accredited with CPE Credit]
Python for Non-Programmers, LinkedIn Learning, February 2022
Python for Students, LinkedIn Learning, February 2022
Environment, Health and Safety (EHS) Training Certificates, March 2021 [Khalifa University]
Responsible Conduct of Research, July 2020 [CITI Program]
Job Readiness Training
Introduction to Project Management, June 2024 [Coursera Project Network]
Utilize LinkedIn for Career Search, June 2024 [Coursera Project Network]
Build a Professional Resume using Canva, June 2024 [Coursera Project Network]
Learn to Job Search with Indeed, June 2024 [Coursera Project Network]
Utilize CareerBuilder to Find Employment, June 2024 [Coursera Project Network]
The Neuroscience of Personal Excellence, June 2024 [University of Colorado Boulder]
IELTS Listening and Speaking Section Skills Mastery, June 2024 [University of California, Irvine]
IELTS Writing Section Skills Mastery, June 2024 [University of California, Irvine]
IELTS Reading Section Skills Mastery, May 2024 [University of California, Irvine]
The Career Design Lab: Change your Job, Change your Life, May 2024 [University of California, Santa Cruz]
Data Scientist Career Guide and Interview Preparation, April 2024 [IBM]
Job Success: Get Hired or Promoted in 3 Steps, April 2024 [The State University of New York]
Job Readiness Specialization Course
IELTS Preparation, June 2024 [University of California, Irvine]
In the IELTS Preparation specialization, learners honed their abilities in four key areas—writing, listening, speaking, and reading—to excel on the IELTS exam. The program concentrated on the exam's format, the various types of questions, and strategies for effectively tackling each question type. This comprehensive approach ensured that learners could enter the exam well-prepared, knowing what to expect and how to achieve their target scores.
Publications
Shahadat Hussain, Ali N Alagha, Wael Zaki, (2024) Phase Transformation Behavior of NiTi Triply Periodic Minimal Surface Lattices Fabricated by Laser Powder Bed Fusion. Journal of Materials Engineering and Performance. https://doi.org/10.1007/s11665-024-09162-7
Shahadat Hussain, Ali N Alagha, Gregory N. Haidemenopoulos, Wael Zaki, (2023) Microstructural and surface analysis of NiTi TPMS lattice sections fabricated by laser powder bed fusion. Journal of Manufacturing Processes, 102:375-386. https://doi.org/10.1016/j.jmapro.2023.07.055
Shahadat Hussain, Ali N Alagha, Wael Zaki, (2022) Imperfections Formation in Thin Layers of NiTi Triply Periodic Minimal Surface Lattices Fabricated Using Laser Powder Bed Fusion. Materials, 15(22) 7950, https://doi.org/10.3390/ma15227950.
Ali N Alagha, Shahadat Hussain, Wael Zaki, (2021) Additive Manufacturing of Shape Memory Alloys: A Review with Emphasis on Powder Bed Systems, Materials & Design, 204:109654, https://doi.org/10.1016/j.matdes.2021.109654.
Abhishek Pandey, Shahadat Hussain, Prasanth Nair, Rupa Dasgupta, (2020) Influence of niobium and silver on mechanical properties and shape memory behavior of Cu‑12Al‑4Mn alloys. Journal of Alloys and Compounds, https://doi.org/10.1016/j.jallcom.2020.155266.
Shahadat Hussain, Abhishek Pandey, Rupa Dasgupta, (2019) Nano‑CeO2 Doped Cu‑Al‑Ni SMAs with Enhanced Mechanical as well as Shape Recovery Characteristics. Metals and Materials International, (2021) 27:1478–1482, https://doi.org/10.1007/s12540-019-00570-2.
Rupa Dasgupta, Abhishek Pandey, Shahadat Hussain, Ashish Kumar Jain, Ayub Ansari, V Sampath (2019) Effect of Microstructure on Roll‑Ability and Shape Memory Effect in Cu‑Based Shape Memory Alloys. Applied Innovative Research 1:29‑37, https://nopr.niscpr.res.in/handle/123456789/45840.
Shahadat Hussain, Abhishek Pandey, Rupa Dasgupta (2019) Designed polycrystalline ultra‑high ductile boron doped Cu‑Al‑Ni based shape memory alloy. Materials Letters 240:157‑160, https://doi.org/10.1016/j.matlet.2018.12.
Abhishek Pandey, Ashish Kumar Jain, Shahadat Hussain, V Sampath, Rupa Dasgupta (2016) Effect of Nano CeO2 Addition on the Microstructure and Properties of a Cu‑Al‑Ni Shape Memory Alloy. Metallurgical and Materials Transactions B 47:2205‑2210, https://doi.org/10.1007/s11663-016-0691-0.
Ashish Kumar Jain, Shahadat Hussain, Pravir Kumar, Abhishek Pandey, Rupa Dasgupta (2015) Effect of Varying Al/Mn Ratio on Phase Transformation in Cu–Al–Mn Shape Memory Alloys. Transactions of Indian Institute of Metals 69:1289‑1295, https://doi.org/10.1007/s12666-015-0689-3.
Shahadat Hussain, Pravir Kumar, Ashish Kumar Jain, Abhishek Pandey, Rupa Dasgupta (2015) Effects of Different Quaternary Additions in the Properties of a Cu‑Al‑Mn Shape Memory Alloy. Materials Performance and Characterization 4:225‑235, https://doi.org/10.1520/MPC20150017.
Pravir Kumar, Ashish Kumar Jain, Shahadat Hussain, Abhishek Pandey, Rupa Dasgupta (2015) Changes in the properties of Cu‑Al‑Mn shape memory alloy due to quaternary addition of different elements. Revista Materia 20:284‑292, https://doi.org/10.1590/S1517-707620150001.0028.
Rupa Dasgupta, Ashish Kumar Jain, Pravir Kumar, Shahadat Hussain, Abhishek Pandey (2015) Role of alloying additions on the properties of Cu–Al–Mn shape memory alloys. Journal of Alloys and Compounds 620:60‑66, https://doi.org/10.1016/j.jallcom.2014.09.047.
Rupa Dasgupta, Ashish Kumar Jain, Pravir Kumar, Shahadat Hussain, Abhishek Pandey (2014) Effect of alloying constituents on the martensitic phase formation in some Cu‑based SMAs. Journal of Materials Research and Technology 3:264–273, https://doi.org/10.1016/j.jmrt.2014.06.004.
Conferences
Conference Publications
Shahadat Hussain, Ali N Alagha, Wael Zaki (2022) Inhomogeneous Microstructure due to Non‑Uniform Solidification Rate in NiTi Triply Periodic Minimal Surface (TPMS) Structures Fabricated via Laser Powder Bed Fusion. ASME International Mechanical Engineering Congress and Exposition (IMECE‑2022), Ohio, USA. https://doi.org/10.1115/IMECE2022-95320
Shahadat Hussain, Ashish Kumar Jain, Ansari MA, Abhishek Pandey, Rupa Dasgupta (2017) Study of effect of Fe, Cr and Ti on the martensite phase formation in Cu‑12.5wt%Al‑5wt%Mn SMA. Advanced Materials Proceedings 2(1):22‑25. https://doi.org/10.5185/amp.2017/106
Oral Presentation
Participated in "The Best Practices in Teaching and Learning Conference" held on May 2023 at Khalifa University, Abu Dhabi. Organizers: Khalifa University, American University of Sharjah and Amity University Dubai.
"Inhomogeneous Microstructure due to Non‑Uniform Solidification Rate in NiTi Triply Periodic Minimal Surface (TPMS) Structures Fabricated via Laser Powder Bed Fusion" presented at ASME-International Mechanical Engineering Congress and Exposition (IMECE‑2022), Columbus, Ohio, USA November 2022.
“Improvement in shape memory properties of CuAlNiZn shape memory alloys due to addition of grain refiners” presented at National Seminar on Advances in Smart & Functional Materials held at CSIR‑AMPRI, Bhopal on 13‑14th January 2017. Organizers: CSIR‑AMPRI Bhopal, IIM (Bhopal Chapter), MRSI (Bhopal Chapter) and TSI (Bhopal Chapter).
“Study of effect of Fe, Cr and Ti on the martensite phase formation in Cu‑12.5wt%Al‑5wt%Mn SMA” presented at International Conference on Materials Science and Technology held at University of Delhi, Delhi India on 1‑4th March 2016. Organizers: International Association of Advanced Materials (IAAM), VBRI Press and University of Delhi.
Poster Presentation
“Microstructural changes and its effect on mechanical as well as shape memory properties in a CuAlNi alloy on addition of dispersoid” presented at Recent Innovations in Advanced Materials (RIAM‑2018): Physics of Advanced Materials held at CSIR‑AMPRI, Bhopal on 18‑19th September, 2018. Organizers: CSIR‑AMPRI Bhopal, MRSI (Bhopal chapter), IIM (Bhopal chapter) and MPCOST Bhopal.
“Changes in properties due to alloying addition of Mn and Cr to Cu‑Al‑Ni‑Zn shape memory alloys” presented at India International Science Festival (IISF‑2016) held at CSIR‑NPL, New Delhi India on 7‑11th December, 2016. Organizers: CSIR‑NPL, CSIR‑NISCAIR, Ministry of Science & Technology GOI, Ministry of Earth Sciences GOI, Vigyan Bharti and Vigyan Prasar.
Effect of Addition of Alloying Element Chromium to Cu‑Al‑Ni‑Zn Shape Memory Alloys” presented at 70th IIM NMD‑ATM Conference held at IIT Kanpur India on 11‑13th November 2016. Organizers: IIM, MSE‑IIT Kanpur and DMSRDE Kanpur.
“Role of grain refiners for improved shape memory properties of Cu‑12.5wt%Al‑5wt%Mn Shape Memory Alloy” presented at National Seminar on ‘Recent Innovations in Advanced Materials’ held at CSIR‑AMPRI, Bhopal India on 29th December, 2015. Organizers: CSIR‑AMPRI Bhopal, MRSI (Bhopal Chapter) and MPCOST Bhopal.
Book Chapter
Rupa Dasgupta., Jain A.K., Shahadat Hussain, Abhishek Pandey., V Sampath. (2018) Effect of Alloying Additions on the Properties Affecting Shape Memory Properties of Cu–12.5Al–5Mn Alloy. In: Muruganant M., Chirazi A., Raj B. (eds) Frontiers in Materials Processing, Applications, Research and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-4819-7_33.
Reviewer
Materials Characterization
Journal of Materials Science and Technology
Additive Manufacturing
Journal of Manufacturing Processes
Research Metrics
(May 2024)
Experience (Research and Teaching) = 6 years
Google Scholar Citations = 312
Google Scholar H Index = 8
Google Scholar I 10 Index = 7
Number of Journals = 14
Curriculum Vitae
Engineering and Technology
Friends of the SEP Society, Stanford University
Associate Member since 2024