Smart City
A
AS042 »
A
Data Management
Senior Network Engineer
AS043 »
RESUME PAYAM KHOSHBAKHT
EDUCATIONAL RECORDS & CERTIFICATES
COMPTIA CERTIFIED SECURITY+ , 2010
COMPTIA CERTIFIED A+ , 2009
Cisco Certified Network Professional (CCNP), 2009
Cisco Certified Network Associate (CCNA), 2009
Cisco Certified Network Associate (CCNA), 2005
Microsoft Certified Technology Specialist ( MCTS ) , 2009
Microsoft Certified IT PROFESSIONAL ENTERPRISE ( MCITP
ENTERPRISE ) , 2009
Microsoft Certified IT PROFESSIONAL ( MCITP ) , 2009
Microsoft Certified Systems Engineer (MCSE 2003) , 2004
Microsoft Certified Systems Administrator (MCSA 2003) , 2004
Microsoft Certified Database Administrator (MCDBA 2000) , 2004
Microsoft Certified Systems Engineer (MCSE 2000) , 2004
Best Regards,
PAYAM KHOSHBAKHT
Other: Smart Robot assistant
COOPER (Co-operative Personal Ergonomic Remotely accessed)
AP099 »
This project is targeting those people who need a companion/assistant in their daily life.
A remotely controlled robot with actuators and sensors for human interaction, capable to control the surrounding devices with IOT setup.
The bot is controlled wirelessly by a centralized processor (DE-10 nano) having customizable instruction sets along with a Neural Processing Unit for image processing. The proposed architecture can control multiple robots with a single FPGA device to share processing resource within multiple robots via same IOT setup.
Water Related
Water contamination detection
AP100 »
Water purity identificationand detection
Industrial
Sustaining Skilled Labor
AS044 »
My proposal is for a technology suite that uses hardware-accelerated computing features to maximize energy efficiency for industrial use cases. Object detection and classification techniques can be used to evaluate video of occupational tasks in a way like never before.
My technology suite will include a master unit with the FPGA that will capture video and other sensor input from skilled labor tasks. The goal is to identify ideal posture and workflow which can be used to train employees and monitor performance. I would like to have AR safety glasses that could help optimize dexterity and reduce fatigue.
Seamless integration and reasonable power consumption are important to create a system that is successful in the workplace. New technology will allow the entire system to be optimized. The flexibility of the FPGA means that the device could rearrange itself depending on the scope of the workspace (room, table, personal area, etc) for maximum efficiency.
Currently I have an NVIDIA Jetson, Raspberry PI, and another SOC here that was used for Android IoT. I think technology can help document skills that are no longer taught and also make workers more efficient with less fatigue. I have worked on this concept before and think it can be successful. Thank you for considering my application.
Marine Related
Mauritus : Improving Livelihoods of communities oyster farming
AP101 »
IoT technology is playing a major role in advancing our lives not only in industry but also in every aspect of our lives. Although IoT technology cannot synthesize oysters, it can serve as a tool to increase production by monitoring the environment in which oysters grow. In this project, we will use IoT and cloud technology to help increase women's income. Specifically, by performing image processing on the FPGA using a camera, it detects the symptoms of excessive swelling of oysters early and generates a warning so that divers can take action early. It will use an accelerometer to detect the movement of sea waves and other unusual movements, giving an early indication of whether a burglary is occurring. This will save women from wasting time in front of the beach, and this precious time saved will contribute to making the world a brighter place.
Food Related
AgroSimu
AP102 »
This project is all about educating and training farmers for better strategies that provide enhanced harvest while ensuring minimal damage to the environment. It is a simulator, much like a game, for simulating the whole process in agriculture and customizable based on the location and type of the crop. The simulator will fetch data from the cloud, in which data including rain-level of the day, moisture and humidity, temperature and other important factors of the environment will be stored. These data will be collected from different locations, processed and stored in the cloud by FPGA. The key idea here is integration of knowledge of the environment for an extended period while only exposing past and present data at any point of time in the simulation.
FPGAs will be deployed in several locations for a long period to collect adequate data and transmit them to the cloud. To reduce the data traffic pre-processing will be done on the FPGA itself.
Actions
The simulator has actions such as preparing the soil, transplantation, applying pesticides and fertilization. One should take appropriate actions at the right time at the right quantity based on the information about data available for a successful result at the end.
Benefits
Farmers will better understand the relationship between the actions and yield. It includes when to perform an action such as preparing the soil, fertilizing the field and what quantity things should be applied.
React wisely to environmental factors that are always hard to predict and control.
Can be used as a platform to attract the younger generation towards farming.
Food Related
Fpga based aquaponic food production integrated with computer vision
EM036 »
The project will create a smart aquaponics system that uses fpga for fast computation and integration. It will also be supported by computer vision.
Transportation
IOT SOLUTION ON FPGA
AP104 »
Image Processing is used to modify pictures to
improve their quality and extract structured information. The
need to process them in real time has lead to implement them
in hardware. To implement image processing algorithms using
high level languages requires thousands of lines of code which is
inefficient as it takes more time. Alternate solution is using Xilinx
System Generator, which is a modeling tool where design is
captured by using xilinx blockset from library environment. The
main advantage of system generator is Xilinx blocksets provide
close integration with MATLAB Simulink that helps in cosimulating FPGA module with pixel vector provided by
MATLAB Simulink blocks. The image analysis plays an
important role in medical imaging. This paper provides image
analysis of a CT scan image. The algorithms are performed on an
image to extract significant features such as image enhancement,
contrast stretching, negative of image, image segmentation and
detecting the edges for a CT scan image. The area and power
parameters are evaluated using reconfigurable platform -Artix-7
FPGA.
Other: Biodiversity
Snow Leopard Detection
EM038 »
Design low-power heterogeneous neural network accelerator for CNN (Convolutional Neural Network) application to identify snow leopards. Internet-connected cameras will be used to collect photos of areas to detect if any snow leopard has passed through that area. These photos will be uploaded to Microsoft Azure Platform and then be processed on an FPGA using CNN.
Smart City
Package deliverance
EM039 »
This system proposes an update in packages deliverance system, improving how couriers deliver their packages optimising the time to deliver it and the number of packages delivered in a day.
Smart City
ABC
AP107 »
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