What We Do
Here at DreamFace Technologies, we are committed to the support and betterment of human life. We build Dreams with advanced technologies and Continuous Innovation. We work with Passion and Dedication in order to help improve human life.
Our mission is to provide superior assistance to the well being of the senior community through the advancements in social robotics.
Born from a decade of research conducted in the Computer Vision and Robotics Lab at the University of Denver, we continue to pioneer the field of Socially Assistive Robotics (SAR). We’ve combined intelligent perception, emotional recognition, facial animation, natural language processing, and human expression to create DreamFace Tech. We don’t create robots, We build companions.
As the earth’s population ages, it is our job to take care of it. At DreamFace we are developing tech that eases the workload for facility caregivers and therapists, improves the quality of life as you age, and gives new meaning to independence for those who want to live in their own homes.
SPECIAL EDUCATION PROGRAMS
We take a new approach to autism and other mental disabilities. It’s usually easier to talk to a friend than an adult, which is why we’ve made one. Our work allows those with disabilities to learn social skills (i.e. eye gaze attention, face and body gesture), receive tutoring in a variety of subjects, and learn to speak other languages all through non-human interaction using certified therapeutic methods.
After completing his Ph.D in Computer Engineering and multi-modal facial recognition, he joined the Psychology department at the University of Miami as Post-Doctoral fellow. His time there was spent developing automated algorithms which measured and evaluated the emotional and expressional deficit of infants with autism to see how they are effected. In 2008, Dr. Mahoor accepted a faculty position with the University of Denver where he established the Computer Vision and Robotics Lab. Now, his work has been expanded as a therapeutic tool for both elder care and special education programs.
With degrees from both the University of Denver and Purdue, Josh has been immersed in the robotics field. Initially focused on Urban Search and Rescue robotics, he has now shifted to social robotics. His senior year of undergrad was spent designing and building an Eyetracker system to track a user’s eye movement and translate it into a functioning computer mouse, allowing patients with spinal cord and traumatic brain injuries to use a computer more easily and independently. From there, his Master’s thesis focused on developing a tread/limb/serpentine hybrid ground robot with holonomic locomotion capabilities for Urban Search and Rescue. His expertise in mechatronics and the merging of mechanical, electrical, and computer subsystems has been essential in RYAN’s physical elements. Josh has adapted the structural components for RYAN’s body, modified the design of the current neck mechanism to increase rigidity and strength, and begun designing a new neck mechanism to enhance RYAN’s capability and anthropometry.
Mr. Hojjat Abdollahi is an artificial intelligence engineer at DreamFace Technologies. Mr. Abdollahi received his B.S. in software engineering and his Masters in Artificial Intelligence from the Sharif University of Technology in 2013. He has worked in industry as a software engineer with knowledge on machine learning to develop a robust object tracking algorithm for smart traffic monitoring. Mr. Abdollahi joined the University of Denver in 2015 to pursue his Ph.D. in Electrical and Computer Engineering. His primary field of study is social robotics for assisted living. He later joined the DreamFace team as a software designer and developer. At DreamFace, he has expanded his expertise in software development for complex artificial intelligence models, implemented algorithms for an autonomous operating system for Ryan, and gained experience in the field work.
Mr. Damian Griffin is the frontend engineer and lead game developer at DreamFace Technologies. He received a B.A. degree in Applied Computer Science in the Fine Arts from the University of Colorado at Boulder in 1994. With the introduction of the iPhone he has been able to fully realize his unique combination of programming, graphics and animation skills and apply them to the emerging field of mobile video games. His games have been downloaded over 5 million times and his third title “GameTime Football” reached the 11th overall spot on Apple’s App Store. Mr. Griffin has hands on experience in every aspect of game development from initial design, UI, gameplay programming, AI, networking, build engineering, marketing and final distribution. He has natural instincts for user experience and usability as well as an obsessive drive for quality and polish.
Mr. Evan Spitler is a mechanical design engineer with Dreamface Technologies. Mr. Spitler earned his bachelor’s in mechanical engineering technology from Metropolitan State University of Denver in 2009, having contributed to numerous undergraduate projects in aerospace and mechanical design. Having supported manufacturing operations and teaching embedded programming in the educational electronics field for the past seven years, Evan is now shifting back into a design role to develop hardware for social robotics. Evan is currently developing the arm drive mechanisms to allow Ryan to simulate natural human gestures.
Mr. Jarid Siewierski is a software engineer at DreamFace Technologies. He recently graduated with a B.S. in computer science from the University of Denver in 2018. Jarid is no stranger when it comes to working in a startup environment. During his time at the University of Denver he participated in Project X-ite’s Pioneering Summer, an accelerator for student-led startup ventures. During this period he honed his skills as a web developer, creating a chrome extension for his project, while being exposed to Natural Language Processing for the first time. This sparked his passion for AI and data science. At DreamFace, Jarid is learning about AI-based Natural Language Processing by writing dialog using AIML with ProgramY’s Python interpreter. He also works closely with Mohammad to continually revamp the website making sure all the content is up to date while keeping the design clean and user friendly.
Dr. Cole has worked in academia for 37 years in various universities and institutes including the psychology department at Carnegie Mellon University (CMU) (1975-1980), the computer science department at CMU (1980-1988), and as a Professor in the Department of Computer Science at Oregon Graduate Institute, (1988-1998). Later, As Research Professor in the Institute for Cognitive Science at the University of Colorado Boulder, he established the Center for Spoken Language Research with Dr. Wayne Ward. In 2007, Ron left the University of Colorado to establish Boulder Learning, Inc (BLI) with Wayne Ward, to develop accessible and affordable tutoring and therapy programs for use by the general public. Ron is collaborating with the DreamFace team with a joint by a grant from the National Science Foundation.
Formally trained in the three pillars of robotics – electrical engineering, mechanical engineering and computer science by Purdue, Stanford Carnegie Mellon University, Dr. Voyles has been a researcher, developer, and advocate for robotics and the internet of things most of his academic and professional life. He is currently a professor and Associate Dean for Research in the Polytechnic Institute at Purdue University as well as the founding director of the Purdue Robotics Accelerator. He has held a variety of positions over the years serving at the Office of Science and Technology Policy at the White House, The National Science Foundation, and the Innovation Corps program. His research focuses on the development of small, resource-constrained robots and robot teams for urban search and rescue and surveillance, as well as robots designed for human assistive tasks.
As the director of the Center for Design, Manufacturing, and Fabrication (Mechanical Eng. Lab) at DU, will lead the construction of RYAN. Mr. Buckley has been collaborating with Dr. Mahoor over the past 7 years in developing and manufacturing different hardware and mechatronics systems including RYAN and other projects at the DU robotics Lab. Mr. Buckley contributes to the final design, manufacturing, 3D printing, and assembling the head, neck, and torso of RYAN.
Mohammad is a Computer Vision Scientist at the MIT Media Lab Spin-Off, Affectiva, where he is leading collection and analysis of the world’s largest database of human emotion data. Mohammad designs, tests and builds scalable machine learning tools for sensing human affects. He is also interested in using technologies for measuring physiological and mental states of individuals using computer vision, wearable sensors and non-invasive technologies. Mavadati received his Ph.D. from Computer Vision Lab from University of Denver.