Greetings! I am Nitin Luhadaiya, a passionate researcher and a Ph.D. graduate from the prestigious Indian Institute of Technology Indore, where my journey into the depths of computational analysis and nanomaterials began. With a robust background in mechanical engineering and a specialization in CAD/CAM/CAE from the Sri Govindram Seksaria Institute of Technology and Science, my academic path has been nothing short of a quest for knowledge and innovation.
My journey
An insatiable curiosity about the natural world and a desire to use technology to make a meaningful difference drove me to pursue a career in the fields of science and engineering. Growing up, I found the complexities of the physical world and the interactions between materials at the most fundamental levels to be fascinating. This fascination led me to pursue a bachelor’s in mechanical engineering from Swami Vivekanand College of Engineering, where I first got a taste of research and the power of computational tools in understanding and designing materials.
Why data science?
The transition from a focused research scholar in nanomaterials to aspiring data scientist might seem unusual at first glance. However, it was a natural progression for me. Throughout my Ph.D., where I deeply engaged in simulations, data analysis, and visualization to unlock the potential applications of nanomaterials, I realized the transformative power of data. I saw firsthand how data could be translated into actionable insights, driving innovation and solutions to complex problems.
A crucial moment during my research inspired me to change my direction and focus on data science. In the quest to enhance hydrogen storage capabilities for fuel cell vehicles, I employed machine learning techniques to predict and optimize material behaviors. The excitement of uncovering hidden patterns and the impact on sustainable energy solutions illuminated the path I wanted to pursue. Data science, with its blend of analytical rigor, innovative thinking, and the potential to revolutionize industries, resonated with my aspirations.
With this vision, I embarked on further honing my skills through the Google Advanced Data Analytics course, eager to bridge my analytical expertise with the vast possibilities within data science. My journey is a testament to the belief that, with a strong foundation in scientific inquiry and computational skills, one can transition across fields, leveraging data to craft innovative solutions.
Looking ahead
Today, I stand at the cusp of merging my background in computational analysis of nanomaterials with the dynamic and rapidly evolving field of data science. My aim is to contribute to data-driven decision-making processes, leveraging my expertise in simulations, data visualization, and analytical thinking to solve real-world problems. With a solid academic record, proven research capabilities, and a zeal for continuous learning, I am excited about the opportunities and challenges that lie ahead in the realm of data science.
Through my journey, I've learned the importance of perseverance, creativity, and the relentless pursuit of knowledge. I am committed to leveraging my skills and experiences to contribute to the field of data science, aspiring to unlock new insights and foster innovation for a better tomorrow.
Thank you for taking the time to learn about my journey and aspirations. Let's connect and explore the possibilities of how we can collaborate to drive forward the boundaries of what's possible with data.
CAREER GOALS
With my rich background in computational analysis of nanomaterials and a Ph.D. from the Indian Institute of Technology Indore. I am now keenly aspiring to transition into the field of data science. My journey has equipped me with a profound understanding of data analysis, simulations, and visualization, skills I am eager to apply in new contexts. At this juncture, I am seeking entry-level opportunities in data science that are open to leveraging my unique background. I am enthusiastic about roles that allow me to contribute to data-driven projects, where I can harness my analytical rigor, problem-solving abilities, and innovative thinking to generate impactful insights. My goal is to join a team where I can grow, learn, and contribute to projects that unite my passion for data with my commitment to delivering solutions that matter.
Google Advanced Data Analytics Professional Certificate
Skills learned: Python, Pandas, Tableau, Exploratory Data Analysis (EDA), Visualizations, Probability Distribution, Descriptive Statistics, Inferential Statistics, Sampling, Confidence Interval, Hypothesis Testing, A/B Testing, Regression Analysis, General Linear Model (GLM), Machine Learning.
Teaching Assistantship | IIT Indore July 2019 – June 2023 (4.5 Years)
As a Teaching Assistant at IIT Indore, I facilitated the "Kinematics and Dynamics of Machines Lab" and the "Micro- & Nano-Mechanics of Solids: Fundamentals & Applications Lab." In these roles, I guided and mentored students through the practical applications of complex theoretical concepts.
Scientific Research | Internship | IIT Indore Sep 2018 - May 2019 (9 months)
During my internship at the Atom Lab, IIT Indore, I was engaged in the development of computational models to evaluate the piezoelectric coefficients in nanomaterials. Using MATLAB, I modeled the charge-dipole method that interprets real-time data in a loop from LAMMPS, a classical molecular dynamics software. This work helped in the publication of two research articles in peer reviewed journals.
Vendor development | Trainee | ITL Industries Ltd. July 2015 – July 2016 (13 months)
Worked there as a graduate trainee for 1 year. The company builds machines like band saw, Circular Saw, etc. The company wanted to lower the price of machines, one of the ideas of the management was to reduce the cost of machine parts that were sent outside of the company for various machining operations. To do that I was tasked to estimate the cost of parts. Analyzed part drawings, and guessed the operations that will be performed on raw material to get end-product and estimated the cost based on that.
PhD • Computational materials science • IIT Indore CGPA: 9.08 | June 2019 – March 2024
My PhD thesis topic was “Unraveling the Potential of Graphene for Hydrogen Storage: Insights from molecular dynamics simulations”. We evaluated the hydrogen gas adsorption capacity of graphene with various structural changes like introducing defects and providing strain as well as functionalization techniques like nitrogen doping and titanium adatoms. During this work, we developed a new method for estimating the hydrogen adsorption gravimetric density using potential energy distribution. We found out that for optimal hydrogen storage low temperatures and high pressures are favorable. Hydrogen storage capacity of graphene increases with the presence of strain and defects in graphene nanosheets. Titanium decoration and nitrogen doping on graphene with vacancy defects significantly enhance hydrogen storage.
M.E. • CAD/CAM/CAE • SGSITS CGPA: 8.38 | July 2016 - July 2018
My masters project thesis was on “Investigation of flow around a square cylinder with a separate splitter plate at low Reynolds number via Computational fluid dynamics”. In our simulations we varied the gap between the cylinder and a plate and observed the resulting wake changes. A shift in mean drags, lift RMS, and Strouhal number occurs at a specific "critical gap distance." We observed a phase difference in the lift forces between the plate and the square cylinder, identifying the gap distance at which their fluctuations are out of phase. Also, performed a regression analysis to quantify the relationship between the critical gap distance and flow characteristics.
B.E. • Mechanical Engineering • SVCE CGPA: 6.56 | July 2010 - July 2014
In Final year project we fabricated a Vapor Adsorption Refrigeration System (VARS) based on solar power to store medicines in remote areas where electricity was scarce. The project successfully lowered the temperature of the system and maintained it to 18-20 °C.
Organized: Six Days' online QIP- STC program on "Micro- & Nano-Mechanics of Solids: Fundamentals &Applications" on 14th December 2020. TEQIP course titled "Atomistic Modelling of Solids", Dec 21-25, 2020, at IIT Indore.
Coordinated: Coordinate "International Conference on Precision, Meso, Micro & Nano Engineering" held at IIT Indore from Dec 12-14, 2020. More than 300 national and international participants attended this conference.
Awarded: Prestigious Prime Minister's Research Fellows (PMRF) scholarship, for a proposal on enhancing the hydrogen adsorption capacity of graphene through various functionalization.
Mentoring: Successfully mentored a total of four students, including three MTech students and one MS student. Helped them in executing their research work, and analysis. My mentorship improved their research capabilities, and successful completion of their thesis projects.
Delivered a lecture in SERB-sponsored Accelerate Vigyan workshop on 25th Jan 2022.
Participated in the QIP course titled "Micro- and Nano-Micromechanics of Solids" from Dec 14 to 19, 2020.
Participated in TEQIP III short-term course titled "Atomistic Modeling of Solids: Theory and Application" from Dec 21-25, 2020.
GATE 2015 Qualified.
N Luhadiya, SI Kundalwal. Enhancing piezoelectric performance of CNTs through B and N substitution under combined mechanical loads: Insights from MD Simulations. Nanotechnology, 2024, 35(26), p.265707.
N Luhadiya, SI Kundalwal, SK Sahu. Investigation of hydrogen adsorption behaviour of graphene under varied conditions using a novel energy-centered method. Carbon Letters, 2021, 31, p.655–666.
N Luhadiya, SI Kundalwal, SK Sahu. Adsorption and desorption behavior of titanium-decorated polycrystalline graphene towards hydrogen storage: A molecular dynamics study. Applied Physics A, 2022, 128(1), p.1-13.
N Luhadiya, V Choyal, SI Kundalwal, SK Sahu. Investigation of unified impact of Ti adatom and N doping on hydrogen gas adsorption capabilities of defected graphene sheets. Journal of Molecular Graphics and Modelling, 2022, 119, p.108399.
D Kag, N Luhadiya, SI Kundalwal. Strain and defect engineering of graphene for hydrogen storage via atomistic modelling. International Journal of Hydrogen Energy, 2021, 46(43), p.22599-22610.
S Mishra, N Luhadiya, SI Kundalwal. Insights into the adsorption capacity of Li functionalized poly-crystalline carbon nanotubes using molecular dynamics approach. Carbon, 2023, 207, p.23-35.
Kundalwal SI, Choyal VK, N Luhadiya, V Choyal. Effect of defects and doping on electromechanical response of boron nitride nanosheets. Nanotechnology, 2020, 31(40), p.405710.
Kundalwal SI, Choyal VK, Vijay Choyal, N Luhadiya. Enhancement of piezoelectric and flexoelectric response of boron nitride sheet superlattices via interface engineering. 2021 Physica E: Low-dimensional Systems and Nanostructures, 127, p.114563.
N Luhadiya, SI Kundalwal, SK Sahu. “A novel synthesis approach for reduced graphene aerogels doped with titanium nanoparticles.” Indian Institute of Technology Indore, 2022, Indian Patent Office. On priority.
SI Kundalwal, N Luhadiya, SK Sahu. “A method for estimating the gas adsorption capacity of a solid adsorbent.” Indian Institute of Technology Indore (India, 202221024912), 2022, Indian Patent Office. Applied - 28/04/2022.
SI Kundalwal, N Luhadiya, Saurabh Mishra, SK Sahu. “A modular reactor for manometric apparatus operable in a hydrogen environment at high pressures and capable of handling powdered/porous nanomaterials.” Indian Institute of Technology Indore (India, 202221069960), 2022, Indian Patent Office. Applied – 06/12/2022.
