Akshansh Mishra

Akshansh MishraAkshansh MishraAkshansh Mishra

Akshansh Mishra

Akshansh MishraAkshansh MishraAkshansh Mishra
  • Home
  • Publications
  • Masters Thesis
  • Ongoing Research
  • Machine Learning
  • Architected Metamaterials
  • Additive Manufacturing
  • Composite Materials
  • Science Preachings
  • Developed APPS
  • STL Gallery
  • AUGMENTED REALITY
  • Altro
    • Home
    • Publications
    • Masters Thesis
    • Ongoing Research
    • Machine Learning
    • Architected Metamaterials
    • Additive Manufacturing
    • Composite Materials
    • Science Preachings
    • Developed APPS
    • STL Gallery
    • AUGMENTED REALITY
  • Home
  • Publications
  • Masters Thesis
  • Ongoing Research
  • Machine Learning
  • Architected Metamaterials
  • Additive Manufacturing
  • Composite Materials
  • Science Preachings
  • Developed APPS
  • STL Gallery
  • AUGMENTED REALITY

Kai vs Brooklyn in Beyblade G Revolution

In the fierce arena of life, we are all like Kai facing our own Brooklyn – seemingly insurmountable challenges that appear unbeatable on paper. What the legendary battle between Kai and Brooklyn teaches us is that raw talent alone is never enough; it's the unbreakable spirit forged through countless defeats that truly makes us unconquerable. When you face your darkest moment, when experts say you cannot win, remember how Kai rose again and again despite being battered beyond reason. 

About Me

Background

Research and more Collaboration

Research Interests

Akshansh completed his Bachelor' of Technology in Mechanical Engineering from SRM Institute of Science and Technology, Chennai, India. During his bachelor's thesis, he developed an interest in the solid-state joining process called Friction Stir Welding and in Artificial Neural Networks. He is working as a Data Scientist at Material Phase

Akshansh completed his Bachelor' of Technology in Mechanical Engineering from SRM Institute of Science and Technology, Chennai, India. During his bachelor's thesis, he developed an interest in the solid-state joining process called Friction Stir Welding and in Artificial Neural Networks. He is working as a Data Scientist at Material Phases Data Systems (MPDS), in Switzerland. He is also pursuing his Master's in Materials Engineering and Nanotechnology at Politecnico Di Milano. He is completing his Master's thesis under the supervision of Professor Sara Bagherifard and Mr. Ramin  Yousefi Nooraie at Archès Lab. 


Outside academics, he likes to travel, cook, read novels, self-learn new things, and play table tennis. 

Research Interests

Research and more Collaboration

Research Interests

 He works on the application of Artificial Intelligence-based algorithms in the Manufacturing and Materials sectors. His main research interests are Cognitive Computing, Advanced Manufacturing, Explainable Artificial Intelligence (XAI), Machine Learning, Natural Language Processing, Nature based optimization algorithms, and Computational Neuroscience. 

Research and more Collaboration

Research and more Collaboration

Research and more Collaboration

He would love to collaborate on projects which have integration of the Artificial Intelligence algorithms into Materials Science and Manufacturing processes.  He can be contacted via mail at akshansh.mishra@mail.polimi.it. 

arXiv Profile

Google Scholar Profile

Research and more Collaboration

https://arxiv.org/a/mishra_a_5.html

Scopus Profile

Google Scholar Profile

Google Scholar Profile

https://www.scopus.com/authid/detail.uri?authorId=57216633068

Google Scholar Profile

Google Scholar Profile

Google Scholar Profile

https://scholar.google.com/citations?user=V3qFjF8AAAAJ&hl=en

GitHub Profile

Web of Science Profile

Web of Science Profile

https://github.com/akshansh11

Web of Science Profile

Web of Science Profile

Web of Science Profile

https://www.webofscience.com/wos/author/record/B-6019-2018


AI Fab Lab

Web of Science Profile

AI Fab Lab

AI Fab Lab is a pioneering research company that's bringing the power of artificial intelligence to some of the most important fields out there. We're a group of curious minds and problem-solvers who are passionate about using cutting-edge AI tech to tackle real-world challenges in material science, manufacturing, and healthcare. 


Visit: https://www.aifablab.com/home

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