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    Ioannis Smanis                 

                     M.S.E in Computer Engineering, UMass Lowell

 

 

Personality:

  • Passion and patience to design and develop innovative projects

  • Hard worker who tries for the optimal result

  • Excited to modify existing hardware and extend its capabilities

Interested in:

  • IoT Sensor based systems

  • Computer Vision and Machine Learning on Edge Devices

  • Machine Learning on Low Power embedded systems

  • Wearable Devices

  • Development of Health and Wellness monitoring devices, Medical Devices, Bio-signal sensory systems

  • ML Acceleration Hardware

  • Optimization of power consumption for wearable devices

Skills:

  • Programming and debugging (RTOS Microcontrollers, Micro-Processors, Multi-GPUs)

  • Programming languages (C, C++,Python, OpenCL, Lua, HTML/XML, Shell Scripting)

  • Analyzing Hardware, Schematics, Circuits, ICs

  • Designing PCBs layouts

  • Managing Mid-scale Assembly lines for small prototype batch 

  • Reverse Engineering

  • Implementing integrated hardware and software prototype applications

  • Soldering and Reworking PCBs

  • Working with Lab Instruments

  • Developing Automation Scripts

Experience in:

  • Quick Prototyping Hardware Applications

  • Designing and debugging IoT sensory systems

  • Programming variety of low power hardware architectures (ARM, RISC, MIPS, x86 SoCs)

  • Developing Computer Vision applications based Machine Learning on Edge/IoT platforms (nVidia Jetson, UPsquared Board, variety of Single Board Computers)

  • Machine Learning Frameworks (Caffe, TensorFlow, Torch)

  • Programming Heterogenous Computing Hardware Platforms (CPU+GPU, CPU+FPGA with OpenCL)

  • Deploying a variety of sensors (i.e. Bio-signals, Motion, Environmental, Sound and Vision sensors) 

  • Programming and deploying Wireless Sensor Networks (Wi-Fi, ANT+, ZigBee, LoRa, Bluetooth, unlicensed 2,4Ghz )

  • Bench-testing sensory and computation systems 

Papers:

Ioannis Smanis, George Poursanidis, Padelis Angelidis, Alexandros Tzallas and Dimitrios Tsalikakis, "Managing children's asthma with a low cost web-enabled multifunctional device", presented at 3rd International Conference on Ambient Media and Systems 2013, Athens, Greece, March 2013

 

Charalampos Michailidis, Ioannis Smanis, Kostas Stamatis, Christos Bergeles, Antonios Kouris, "Development of a Smartphone-Enabled Spirometer for Personalised Respiratory Health" , presentation at 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies", Athens, Greece, November 2014

Patent:

Tzallas Alexandros, Tsipouras Markos, Smanis Ioannis. Method and glove/device for the determination and improved evaluation of the motor symptoms of a disease. International Patent PCT/GR2017/000034, filled June 21, 2017, and issued December 28, 2017

 

Resume:

Download my Resume.

Media Publicity:

Article at "Boston Globe" Journal, January 2012

 

Front Page at "Boston Globe" Journal, August 2014

 

Article at "Crash" Greek Magazine, May 2013

 

 

 

 

 

 

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