Dennis Núñez Fernández
Currently, I'm a research assistant at the Bioinformatics and Molecular Biology Laboratory at Universidad Peruana Cayetano Heredia (UPCH), Peru. There, I develop Artificial Intelligence algorithms for early and low-cost medical diagnosis. I obtained my bachelor degree in Science with a mention in Electronic Engineering from the Universidad Nacional de Ingeniería (UNI), Peru, and ranked first in my graduating class. My research experience includes two research fellowships in Artificial Intelligence & Deep Learning at the AGH University of Science and Technology (Poland) and the University of Padova (Italy). My research areas include Artificial Intelligence, Cognitive Robotics, Machine Learning and Computer Vision.
I participated in prestigious AI related conferences such as the ICML 2019 (USA), the NeurIPS 2019 (Canada), the ICML 2020 (Austria), the ACL 2020 (USA) and the RSS 2020 (USA). Regarding schools, I was accepted and participated in top schools such as the 10th Lisbon Machine Learning School (LxMLS 2020) and the Cornell, Maryland, Max Planck Pre-doctoral Research School (CMMRS 2020). Also, my academic service experience includes participation as a committee member in the role of reviewer for the LXAI Workshop at NeurIPS (2019) and the LXAI Workshop at ICML (2020). In addition to my interest and work in Artificial Intelligence, I have a special interest in science fiction and technology related books, and attraction for topics about the impact and future of science & technology.
Natalia Sanchez Tamayo
I am a master's student at Purdue University working on robot learning under the supervision of Professor Juan Wachs. As part of my work in the Intelligent systems and assistive technologies lab, I work on developing technologies to facilitate human-robot interaction, particularly for robot applications in the healthcare domain.
My research focuses on robot learning for dexterous manipulation tasks. I investigate the capacity to transfer knowledge in a mockup surgical task between robots with different morphology. My research interests span robot learning in complex environments, autonomous systems, human-robot interaction, and robot motion dynamics.
Thulani is a PhD student in Mechanical Engineering at the University of Nevada, Reno. He grew up in Swaziland, and received his BS and MS degrees in Mechanical Engineering from the University of Pennsylvania in 2015, with a concentration in Design and Manufacturing. He did research at Modular Robotics Lab at UPenn, working on modular robots and novel robotic mechanisms. His broad interest is in the design, fabrication and control of novel high-performance and low-cost medical and assistive robots, specifically using smart materials/muscles. Currently a bulk of the work he is doing involves using Supercoiled Polymer (SCPs) to develop new configurations and developing models to understand the behavior of these artificial muscles.
Ashith Rajendra Babu
Hello Everyone, I am Ash Babu. Currently, I work as a Research Fellow at Surrey Space Center as part of the Future AI and Robotics for Space ( FAIR-SPACE ) Hub. My focus is on motion planning for space robots for applications like debris removal, assembly and rendezvous and docking. Prior to the above, I was a Research Fellow at University of Lincoln where I worked on robot ‘Learning from Demonstrations’.
My interests are in Robot kinematics, dynamics, optimal control, reinforcement learning and other aspects of AI in general.
My Homepage : https://ashbabu.github.io/
A mechatronics engineering undergraduate student, working towards a career in robotics and passionate about emerging technologies such as blockchain, Internet of Things, artificial intelligence and machine learning.
LinkedIn : https://www.linkedin.com/in/faith-hunja-5a8520116
Mai Lee Chang
I am a Ph.D. student in the Electrical and Computer Engineering Department at the University of Texas at Austin. My advisor is Dr. Andrea Thomaz (Socially Intelligent Machines Lab). My research goal is to create algorithms that enable a robotic teammate to reason about the multi-dimensional aspects of an effective team. Motivated by the concept of shared cooperative activity, developed in prior work by Bratman, I propose algorithms that allow robots to reason about mutual responsiveness, commitment to the joint activity, commitment to mutual support, and fairness to improve teamwork. Prior to joining UT, I worked as an engineer at NASA-Johnson Space Center.
Abraham Glasser is a Ph.D. student (since 2019) in Computing and Information Sciences at the Rochester Institute of Technology, and he is a researcher at the Center for Accessibility and Inclusion Research.
He previously completed internships at Microsoft and at the NASA Kennedy Space Center, and he has conducted research at the NTID Center on Access Technology and through several NSF Research Experiences for Undergraduate programs. He is the recipient of an Honorable Mention in the National Science Foundation Graduate Research Fellowship program, and he was the first-place winner in the Student Research Competition at the ACM CHI Conference on Human Factors in Computing Systems, and was awarded Best Poster at the ACM VRST Virtual Reality Software and Technology Symposium.
His research investigates technologies for people who are Deaf or Hard of Hearing, including captioning, speech and sign language technology. You can find more information at https://abrahamglasser.com/
Moyin Otubela is pursuing a doctoral degree in Trinity College Dublin. He has previously been awarded Bachelors and Masters degrees in Mechanical and Manufacturing engineering from the same institution. His main research areas include dynamics, motion planning, locomotion and control in mobile service robots.
Gaoussou Youssouf Kebe
Gaoussou Youssouf Kebe is a master student at the University of Maryland, Baltimore County, in the Interactive Robotics and Language Lab. He works with Dr. Cynthia Matuszek and Dr. Francis Ferraro. His research focuses on how learned models of grounded language can be transferred between robots with heterogeneous sensor platforms and actuation capabilities. Additionally, he works on language representation and computational event semantics. Prior to joining UMBC, he received his BS in Computer Engineering at Bursa Technical University where he worked on path planning for mobile data collectors in wireless sensor networks.
His primary research interests include Human Robot Interaction, particularly Grounded Language Acquisition and Social Robotics, Affective Computing, and Natural Language Processing
Graduate Student at Computer Science Department working on Formal Verification of Cyber-physical Systems. Have 5+ years of hands-on experience in developing software modules in C/C++ and python. Resume is attached here.
Rachel Gardner is a master's student at Stanford working with Jeannette Bohg (Interactive Perception and Robot Learning) and Silvio Savarese (Stanford Vision and Learning). She started in research partway through her undergrad at Stanford, publishing papers in AI for healthcare and RL for robotics. She currently works on 3D shape perception and uncertainty-aware controllers, though she is taking a break to intern with Aurora's self-driving team this summer.
Sunny Amatya received the B.S.E in Mechatronics from the Asian Institute of Technology in Bangkok, Thailand in 2015, and the M.Sc. degree in Robotics from the EMARO (European Masters in Advanced Robotics) program in 2018. The EMARO program is a two year program, with the first year at École Centrale de Nantes, France, and the second year at Università Degli Studi di Genova, Italy. She is a graduate research assistant in Systems Engineering from Arizona State University, USA, at the Robotics & Intelligent Systems Lab since Fall 2018. Her research interest includes the fields of artificial intelligence, mechatronics and wearable robotics.