Dr.  Rik Das

Dr. Rik Das is currently working with Siemens Technology and Services Pvt. Ltd. as a Lead Data Scientist (Computer Vision and Research).
Dr. Das has over 17 years of experience in research and academics with various leading Universities and Institutes in India including Xavier Institute of Social Service, Narsee Monjee Institute of Management Studies (NMIMS) (Deemed-to-be-University), Globsyn Business School, Maulana Abul Kalam Azad University of Technology and so on.
Dr. Rik Das is recently appointed as a Distinguished Speaker of the Association for Computing Machinery (ACM), New York, USA. He is featured in uLektz Wall of Fame as one of the "Top 50 Tech Savvy Academicians in Higher Education across India" for the year 2019. He is also a Member of International Advisory Committee of AI-Forum, UK.
Dr. Das is the recipient of prestigious "InSc Research Excellence Award" hosted in the year 2020.
Dr. Das has carried out collaborative research with professionals from Industries like Philips-Canada, Cognizant Technology Solutions, TCS and so on. Dr. Das has filed and published two Indian patents consecutively during the year 2018 and 2019 and has over 30 International publications till date with reputed publishers like IEEE, Springer, Emerald, Inderscience and so on. He has authored three books in the domain of content based image classification and has edited 3 volumes with IGI Global, CRC Press and De Gruyter, Germany, respectively. He has also chaired sessions in International Conferences on Machine Learning and has acted as a resource person / invited speaker in multiple events and refresher courses on Information Technology.
Dr. Rik Das runs a YouTube channel named 'Curious Neuron' to disseminate knowledge and information to larger communities in the domain of machine learning, research and development and open source programming languages. Dr. Das is always open to discuss new research project ideas for collaborative work and for techno-managerial consultancies.

• An Image Data based perspective on Data Science, Machine Learning and Deep Learning
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• Is Traditional Image Processing a lost art? : Relevancy check in deep learning era
  A surge of deep learning techniques has automated the process of image classification. Traditional techniques of image classification are essentially categorized in two different steps,...
• Machine Learning Engineer to Machine Learning Scientist: A journey with Image Processing
  This talk bridges the relation between image processing and machine learning. There are numerous youngsters who all are willing to build a career in this particular domain and are...
• Machine Learning for non Coders: Your turn to become a ML Expert
  This talk has covered the aspects for embracing machine learning by non coders from different backgrounds having a eye for detail.  Machine learning is synonymous to modern day craze...