I am a research engineer at the Biomechanics and Applied Robotics Research Lab (GIRAB-PUCP) and at the Artificial Intelligence Research Group (IA-PUCP). Both organizations are located at the Pontifical Catholic University of Peru (PUCP), where I received my B.S. in Mechatronics Engineering (Robotics).

I am the proud inventor of the Auto-Rotating Neural Networks, which are a generalization of the Auto-Rotating Perceptrons (ARP) I created in 2018. When using deep neural networks, do we ever change the neuron itself? The ARP neural unit changes the internal core of classic perceptrons of dense layers aiming to tackle the vanishing gradient problem (VGP). The ARP operation can also be applied to recurrent and convolutional layers!

I am currently working on the journal version of the ARP paper and pushing its limits. There, I extended the ARP concept and created the Auto-Rotating Neural Networks. It was hard work, but I have successfully implemented dense, recurrent, Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU) and convolutional layers with the Auto-Rotating operation, and the experimental results are promising. Also, I have used ARP for calibrating a wearable sensor.

I am studying for the TOEFL examination, in order to have a good score at it, and then be able to apply for a graduate program scholarship.

Contact: daniel.saromo@pucp.pe

Research Interests

AI-powered robotics. Robot learning and control. Mobile robotics. Auto-Rotating Neural Networks and Auto-Rotating Perceptrons. Machine Learning.

News

Date	Description	Location
July 12-18, 2020.	Attending ICML 2020. Presenting “Smart Sensor Calibration with Auto-Rotating Perceptrons” in the LatinX in AI workshop as an oral exposition and poster presentation.	Vienna, Austria.
December 8-14, 2019.	Attending NeurIPS 2019. Presenting “Auto-Rotating Perceptrons” in the LatinX in AI workshop as an oral exposition and poster presentation.	Vancouver, Canada.
November 9, 2019.	Innovation Recognition Award at ASME Old Guard 63rd Anual Oral Competition Finals at ASME IMECE 2019, where I presented my bachelor thesis project.	UT, USA.
October 12, 2019.	LXAI Travel Grant (for attending NeurIPS 2019 to be an oral and poster presenter).	Vancouver, Canada.
August 14, 2019.	ASME Travel Award to represent PUCP and South America in the ASME IMECE 2019 Finals Competition.	UT, USA.
August 9, 2019.	Won the 1st place and Technical Award at ASME Old Guard Oral Presentation Competition (ASME E-FEST South America).	Lima, Peru.
July 16, 2019.	Best undergraduate thesis and poster presentation at the PUCP Mechatronics Engineering End of Career Workshop.	Lima, Peru.
November 9, 2018.	Accepted into the Udacity’s PyTorch Scholarship Challenge From Facebook, where I was taught how to build, train, and deploy state-of-the-art deep learning models with PyTorch.	-
July 17, 2018.	Best team project at the PUCP Mechatronics Project Fair.	Lima, Peru.
October 6, 2017.	11th place (national level) at the FESTO’s X Academic Mechatronics Olympics.	Lima, Peru.

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