Summary
A Forbes 30 Under 30 Europe lister (Manufacturing and Industry), Dr. Joyjit Chatterjee is renowned for developing AI products that bolster manufacturing and energy processes. He innovates AI solutions to save costs and time, accelerate speed to market whilst minimising environmental footprint. His experience includes being a Data Scientist at Reckitt, UK; Postdoctoral researcher (KTP Associate) at University of Hull, UK etc. He also has significant experience in data-driven O&M in the wind industry. Joyjit received the Green Talents Award from German government for outstanding contributions to AI research in wind industry. He has been endorsed as a Global Talent by UKRI & UK Home Office. He is regularly called upon by C-Suite Executives, Civil Servants, Academic Institutions etc. for voluntary advice and insights on AI, and has also served as expert panel member on European Commission projects.
He has a PhD in Computer Science (AI) from University of Hull, UK on explainable AI for O&M of wind turbines; PG Diploma in Research Training (Hull), Professional Certificate in AI (Oxford); CPD Course in Business (Cambridge); Bachelors in Electronics & Communication Engg. (Gold Medalist-Amity University, India). He has published an array of papers in Computer Science & Engineering (including leading conferences (NeurIPS, KDD etc.), and reputed journals (Wiley, Elsevier, Cambridge University Press etc.) being a top-cited author. He has filed patents with reputed researchers and delivered talks globally. Joyjit was also a Visiting Researcher at University of Bremen, Germany and Tamkang University, Taiwan on government funded projects. He regularly serves on committees for leading conferences and journals, is a certified Scrum Master and a globetrotter.
His several other honours include Best International Knowledge Exchange Award; PhD Scholarship; Employability Award (Hull), grants from IEEE, Microsoft etc., Global Impact Challenge Scholarship (Nudge, NL), Young Researcher Award (IEEE UK & Ireland Section), Gold Medal & Scholarship; Best in Human and Traditional Values Award; Alumni Achiever Award (Amity) etc. His work has been covered in Forbes, Times of India, Asia Times etc. His research interests span Deep Learning, NLP, Knowledge Graphs, Causal Inference & Time-Series Analysis.
For more details about the Big Data Analytics Research Group, please see: https://bda-hull.github.io/