This project proposes to significantly improve safety, communications, tracking, and monitoring solutions for personnel, vehicles, and explosives in mines in collaboration with PBE Canada, a world leader in mine safety equipment. In addition to improving the workplace safety of miners, outcomes will also boost productivity by reducing downtime.
In January 2015, R3 was approached by the FEAS office with the project proposal. Michael Marmeto, Jahiz Ahmed, Feroz Barlsara and Eric Furtado designed and built RamsBot over the course of six weeks.
"RamsBot started out as a centerpiece for the celebration of National Engineering Month, promoting science, technology, engineering and mathematics (STEM) to the public. It was designed to try and foster public interest in in engineering", said Feroz Balsara, co-captain of R3 and fourth-year mechanical engineering student specializing in mechatronics.
Contributions from Nautic Devices Inc in the amounts of $5,000 cash and $15,280 in-kind for the project titled, "Enhancement of Full Duplex Wireless Transceivers."
It was the twelfth event of the series of Symposium on Microgrids and hosted presentations, panels, and posters delivered by internationally-recognized experts in the area of microgrids from academia, industry, and governments. The Symposium was sponsored by Ryerson University, Lawrence Berkeley National Lab, and 13 notable Canadian and American corporations in the field of electric power systems and microgrids. The following Ryersonians were members of its Local Organising Committee: Amir Yazdani (Chair), Dimitri Androutsos, David Begg, and Nikoo Kouchakipour.
The previous 11 events were held in Berkeley, USA (2005), Montreal, Canada (2006), Nagoya, Japan (2007), Kythnos Island, Greece (2008), San Diego, USA (2009), Vancouver, Canada (2010), Jeju Island, Korea (2011), Evora, Portugal (2012), Santiago, Chile (2013), Tianjin, China (2014), and Aalborg, Denmark (2015).
The proposal, entitled "MOST- Network EVs for Green Intelligent Transportation", is valued at $575K for 2016-2019. A total of 338 applications were received in the 2016 competition for Strategic Partnership Grants for Projects resulting in 83 award recommendations; a success rate of 24.6%.
The book describes the organization of reconfigurable computing system (RCS) architecture and discusses the pros and cons of different implementations providing a solid understanding of RCS technology and where it's most effective.
His research focuses on designing interactive methods for visual computing that can bridge the gap between end-users and systems. He has made contributions to the fields of machine learning, computer vision, and medical imaging.
Elite Groups of scientists mathematicians, engineers and medical professionals from the public and private sectors annually conduct an international conference and share Technological Advances in Science, Medicine and Engineering (TASME) since 1996. The events have oral presentations from leading researchers as well as panel discussions and poster sessions. Please visit www.tasmeconferences.org/ and www.linkedin.com/groups/8401381 for more details.
Recent advances in wireless and sensor technologies have been a vital driver for the widespread adaptation of wearable technology that is increasingly used to monitor various biomedical signals in real time. From simple heart rate monitors to advanced EKSO Bionics and OMSIGNAL smart shirts, numerous wearable devices are being introduced every day. According to market researchers, the wearable technology market to reach $70 billion by 2025 with 3 billion wearable sensors. Number of factors contributes this boost. Mainly, incorporation sensing and wireless communications technologies alongside new energy harvesting and storage techniques, efficient power management circuits and low power computing have resulted in form factors that are increasingly flexible, fashionable and invisible. These sensors are becoming more advanced in seamlessly collecting medical data about the consumers and be able to transmit it to nearby wireless access points. Rather than individually observing each sensor, this data has to be collectively stored and analyzed over a long period to make useful conclusions. However, with increased usage of the devices is also the amount of data. This massive amount of data needs to be appropriately fused and processed possibly using a cloud computing environment for developing algorithms for the accurate prognosis of impending health conditions. This will require accurate quantification risk factors and anomaly detection. Use of Rule based reasoning (RBR) models for early warning systems for fatal conditions such as heart attack or stroke attacks can be developed. This project will investigate statistical data analysis schemes, modeling and classification techniques in the presence of noisy and missing data. This project is expected to generate algorithms that will alarm and potentially save lives, reduce waiting time at emergency rooms and reduce healthcare costs.
The Engineering Medal for Young Engineer recognizes outstanding engineers under the age of 35, who have made exceptional achievements in their chosen fields. This award is given to those who have demonstrated excellence not only in their engineering careers, but also in community and professional participation.
"Wireless charging, as it turns out, is not most useful in cellphones. So far, it’s been most efficient for electric toothbrushes, says a Ryerson University professor. The reason it’s so effective in the bathroom may explain why it hasn’t caught on as hoped elsewhere. “The brush is always in the stand,” Xavier Fernando says as a way of explanation. Wireless charging radiates more energy than what actually reaches the device you’re powering up. The energy is lost in the air as it tries to find its way to, say, your cellphone. So it’s inefficient and the only way for it to be more efficient is for a device to sit in one spot, which defeats the purpose, Fernando says."
This CMBES Award was established in 1989 and is presented to a Canadian biomedical engineer who has made outstanding contributions in the field of biomedical engineering. Such achievements can be in the form of scientific or technical developments as well as a broad-spectrum of areas such as leadership, service and organizational skills that contributed to the improvement of health care delivery in Canada, or prominence in organizations concerned with biomedical engineering at the national or international level. Achievements for consideration shall have taken place during the three years immediately preceding the award year.
Go Green in the City is a global student competition for sustainable energy solutions hosted by Schneider Electric. More than 1500 teams participated this year and Ryerson fielded of the top 3 teams in Canada. They will be competing in phase 2 of the competition to reach the finals where only 12 teams worldwide will compete for the coveted crown.
Marzio Pozzuoli Award ($10,000)
Bikramjeet Singh Pabla, Jamie Lee Huy, Jackie Nguyen. Supervised by: K. Raahemifar
Dept. GOLD Capstone Award (each student received an Apple iPhone 6S)
TREMOR DATA-LOGGER FOR PARKINSON'S DISEASE PATIENTS
Shahin Khayyer, Sam Delavarkhan, Helia Azima. Supervised by: K. Umapathy
(TIE) Dept. SILVER Capstone Award (each student received an Apple Watch)
SMART HOME DASHBOARD FOR IOT
Amit K. Roy, Rajat Kumar Sikder, Omer Shukrullah. Supervised by: M. Jaseemuddin
(TIE) Dept. SILVER Capstone Award (each student received an Apple Watch)
SMART MODEL TRAIN COMMUNICATION AND CONTROL SYSTEM
Sam LaBrier, Levon Khachatryan, Khai Trung Luu. Supervised by: M. Kassam
Dept. BRONZE Capstone Award (each student received an Apple TV box)
PIANOBOT (UNIVERSAL ELECTRONIC PIANO PLAYER)
Gentian Licenji, Sina Panahandeh, Brett Grady. Supervised by: M. Kassam
Amount: $450,000, 2016-2019.
PI: Ling Guan, Co-PI: Yifeng He
ORF-REP (Led by York University): Big Data Research, Analytics, and Information Network (BRAIN) Alliance
Total Amount: $3,400,000, 2016-2020
Ryerson Amount: $500,000, 2016-2020
Ryerson Led: Ling Guan
Dr. Bagheri is developing data analytics software methodologies and platforms that will help to understand and analyze the large volume of user-generated data created in recent years. Through his research, he wants to give software engineers and data scientists the tools and techniques they need to create software applications that can handle the demands of this growing industry.