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publications
A deep learning approach for mapping music genres
Published in In the proceedings of 2017 12th Syst. Syst. Eng. Conf. SoSE 2017, 2017
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Recommended citation: Sharaj Panwar, Arun Das, Mehdi Roopaei, Paul Rad, "A deep learning approach for mapping music genres." In the proceedings of 2017 12th Syst. Syst. Eng. Conf. SoSE 2017, 2017.
Patient facial emotion recognition and sentiment analysis using secure cloud with hardware acceleration
Published in Comput. Intell. Multimed. Big Data Cloud with Eng. Appl., 2018
Recommended citation: Alex Torres, Hao Yan, Armin Aboutalebi, Arun Das, Lide Duan, Paul Rad, "Patient facial emotion recognition and sentiment analysis using secure cloud with hardware acceleration." Comput. Intell. Multimed. Big Data Cloud with Eng. Appl., 2018. https://linkinghub.elsevier.com/retrieve/pii/B9780128133149000037
A Distributed Secure Machine-Learning Cloud Architecture for Semantic Analysis
Published in Appl. Cloud Deep Semant. Recognit., 2018
Recommended citation: Arun Das, Wei-Ming Lin, Paul Rad, "A Distributed Secure Machine-Learning Cloud Architecture for Semantic Analysis." Appl. Cloud Deep Semant. Recognit., 2018. https://www.taylorfrancis.com/books/9781351119016/chapters/10.1201/9781351119023-7
Image Graph Production by Dense Captioning
Published in In the proceedings of World Autom. Congr. Proc., 2018
Recommended citation: Amin Sahba, Arun Das, Paul Rad, Mo Jamshidi, "Image Graph Production by Dense Captioning." In the proceedings of World Autom. Congr. Proc., 2018. https://ieeexplore.ieee.org/document/8430485/
Distributed machine learning cloud teleophthalmology IoT for predicting AMD disease progression
Published in Futur. Gener. Comput. Syst., 2019
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Recommended citation: Arun Das, Paul Rad, Kim Choo, Babak Nouhi, Jonathan Lish, James Martel, "Distributed machine learning cloud teleophthalmology IoT for predicting AMD disease progression." Futur. Gener. Comput. Syst., 2019.
Systems and methods for evaluating individual, group, and crowd emotion engagement and attention
Published in US Patent Application 16251768, 2019
Recommended citation: Najafirad, Peyman, and Arun Das. "Systems and methods for evaluating individual, group, and crowd emotion engagement and attention." U.S. Patent Application No. 16/251,768.
Deep Learning Optimization for Edge Devices: Analysis of Training Quantization Parameters
Published in IECON Proc. (Industrial Electron. Conf., 2019
Recommended citation: Alicja Kwasniewska, Maciej Szankin, Mateusz Ozga, Jason Wolfe, Arun Das, Adam Zajac, Jacek Ruminski, Paul Rad, "Deep Learning Optimization for Edge Devices: Analysis of Training Quantization Parameters." IECON Proc. (Industrial Electron. Conf., 2019. https://ieeexplore.ieee.org/document/8927153/
talks
Accelerating Machine Learning on Chameleon Cloud
Published:
Machine Learning (ML) models of recent days involve millions of paramters which takes days even weeks to train and optimize. In this talk, I share how we can accelerate ML workloads in Chameleon Cloud using distributed deep learning methods.
Opportunities and Challenges in Artificial Intelligence
Published:
Link to Webinar here. This is a recording of the webinar I gave on Opportunities and Challenges in Artificial Intelligence to undergrad students of my Alma Mater ‘Cochin University of Science and Technology’.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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