IEEE Boston Section

Entrepreneurs’ Network and co-sponsored by IEEE TEMS, Boston Chapter There are more ways to raise money than just from friends and family, Angels, or Venture Capitalists.  We will show you how to apply for and win non-dilutive government and foundation grants including SBIR’s; enter and win business plan competitions; leverage accelerators and incubators for growth opportunities, mentorship, and capital; and how to use strategic partners to provide funding, more grant opportunities, develop products and get to market faster. Our panelists have used all these methods to fund their companies, multiple times. So join us and learn how you too can creatively fund your startup! Agenda: 7:00 pm:  Introduction – ENET Chairperson’s announcements 7:10 pm:  eMinute Pitch – Up to 3 Startup pitches 7:25 pm:  Expert Panel – 4 expert speakers on the night’s topic 8:10 pm:  Q & A – Moderator and Audience Q & A with the speakers 8:30 pm:  Networking:  Panelists will be available afterward for responses to individual questions. Speakers: Brian Hess – Chief Executive Officer, RevBio Brian has fifteen years of medical device development experience and was the recipient of the 2010 Innovator of the Year Award at Stryker Corporation where he was the co-inventor of the Tetranite bone adhesive technology. While at Stryker, Brian also developed and launched HydroSet™, a synthetic bone substitute, which is a key predicate to RevBio’s Medical’s Tetranite technology. Most recently, Brian was the Chief Technology Officer at InVivo Therapeutics. Brian is co-inventor of over ten patents and received his BS in Mechanical Engineering from the UW-Madison and his MBA from the MIT Sloan School of Management. Greg Mannix – CEO and Co-Founder, Novaurum Bioscience VP International Business Development, and General Manager Europe, Life Science Nation Greg Mannix is a senior business development, sales and marketing professional. After graduating from the University of California, he moved to Europe where he began a career in the life sciences and obtained a Graduate Diploma in International Studies from the Diplomatic School of Spain and an MBA from IE Business School in Madrid. He has extensive experience in sales and marketing management in the medical devices field. He has worked extensively in Europe, North America and Latin America and he speaks English, Spanish and French. Greg has been working for the past 6 years in the Boston/Cambridge life science hub, providing early-stage companies with the tools and strategies to succesfully fundraise and to facilitate cross-boarder investments, licensing and M&A transactions and works actively as a mentor with several international accelerator programs. Greg has recently co-founded Novaurum Bioscience, a spinout from Northeastern University. Natalie S. Rudolph – Ph.D., Rudolph Biomedical Consulting Rudolph Biomedical Consulting works with early-stage technology companies to identify non-dilutive funding opportunities, design R&D projects, and write grant applications to fund them. Project areas include biotechnology, medical devices and telehealth. My focus is Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) grants and contracts from NIH, NSF and DOD. However, my work spans a wide range of opportunities from agencies such as BARDA, DARPA, NIH, NSF, DoD, AHRQ and PCORI. Although my clients include academic investigators, I especially enjoy working with the energy and enthusiasm of entrepreneurs! Moderator & Organizers Michael S. Chester – President, International Manufacturing Consultants, Chair Emeritus Boston Entrepreneurs’ Network (ENET) Mike has co-founded high tech, clean tech, and medical device startups in both the US and China and is now an advisor to startups.  Before becoming an entrepreneur, Mike spent 16 years with IBM designing robots and automation, marketing and selling IBM products to manufacturing companies, setting up global operations and supply chains, and founding a consulting organization for IBM manufacturing clients.  He lived in China from 1986-1987 while consulting to companies owned by the Machine Building Ministry and teaching graduate courses at Hunan University. Mike earned his BS in Electrical Engineering and MS in Computer Engineering from Syracuse University and his MBA from Union College. He is Chair Emeritus of ENET, has served on the board of APICS Boston, was a member of the planning committee of the MIT Enterprise Forum, and is a judge and mentor to companies competing in the Mass Challenge, Clean Tech Open, and other business plan competitions. Mike and his sons have competed on the TV show Robot Wars with their robotic rabbit, “Bunny Attack”. Register NOW! Free for ENET members. Join now >> $10 for general public. *To register as a member, you need to enable cookies (which most browsers do by default). For instructions on enabling cookies in different browsers, click here. If you using Safari as your browser, you also need to enable cross-site tracking by disabling the Prevent Cross-Site Tracking option. Registration for this event will close on Tuesday, December 7 at 3 PM.  All times are USA Eastern Standard time, webinars will not be recorded.

COURSE DESCRIPTION

Course Start Date:  Thursday, November 11, 2021.  Information for the course is released on this day.   Workshops start November 16th at 7:00PM.

Workshops:  Tuesdays, November 16, 23, 30, December 7

IEEE Member Fee:  $190.00

Non-Member Fee:  $210.00

Decision to run/cancel course:  Monday, November 8, 2021 – Course will run.

Speaker:  Dan Boschen

 

 

This is a hands-on course combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language.

New Format with Pre-Recorded Videos:  The course format has been updated to release pre-recorded video lectures that students can watch on their own schedule, and an unlimited number of times, prior to live Q&A workshop sessions on Zoom with the instructor. The videos will also be available to the students for viewing for up to two months after the conclusion of the course.

Overview: Dan provides simple, straight-forward navigation through the multiple configurations and options, providing a best-practices approach for quickly getting up to speed using Python for modelling and analysis for applications in signal processing and digital design verification. Students will be using the Anaconda distribution, which combines Python with the most popular data science applications, and Jupyter Notebooks for a rich, interactive experience.

The course begins with basic Python data structures and constructs, including key “Pythonic” concepts, followed by an overview and use of popular packages for scientific computing enabling rapid prototyping for system design.

During the course students will create example designs including a sigma delta converter and direct digital synthesizer both in floating point and fixed point. This will include considerations for cycle and bit accurate models useful for digital design verification (FPGA/ASIC), while bringing forward the signal processing tools for frequency and time domain analysis.

Jupyter Notebooks: This course makes extensive use of Jupyter Notebooks which combines running Python code with interactive plots and graphics for a rich user experience. Jupyter Notebooks is an open-source web-based application (that can be run locally) that allows users to create and share visually appealing documents containing code, graphics, visualizations and interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future applications in signal processing.

Target Audience: This course is targeted toward users with little to no prior experience in Python, however familiarity with other modern programming languages and an exposure to object-oriented constructs is very helpful. Students should be comfortable with basic signal processing concepts in the frequency and time domain. Familiarity with Matlab or Octave is not required, but the equivalent operations in Python using the NumPy package will be provided for those students that do currently use Matlab and/or Octave for signal processing applications.

Benefits of Attending / Goals of Course: Attendees will gain an overall appreciation of using Python and quickly get up to speed in best practice use of Python and related tools specific to modeling and simulation for signal processing analysis and design.

All set-up information for the installation of all tools will be provided before the start of class.

Topics / Schedule:

Pre-recorded lectures (3 hours each) will be distributed Friday prior to all Workshop dates. Workshop/ Q&A Sessions are 7pm-8pm on the dates listed below:

Tuesday, November 16

Topic 1: Intro to Jupyter Notebooks, the Spyder IDE and the course design examples. Core Python constructs.

Tuesday, November 23

Topic 2: Core Python constructs; iterators, functions, reading writing data files.

Tuesday, November 30

Topic 3: Signal processing simulation with popular packages including NumPy, SciPy, and Matplotlib.

Tuesday, December 7

Topic 4: Bit/cycle accurate modelling and analysis using the design examples and simulation packages

Speaker’s Bio:

Dan Boschen has a MS in Communications and Signal Processing from Northeastern University, with over 25 years of experience in system and hardware design for radio transceivers and modems. He has held various positions at Signal Technologies, MITRE, Airvana and Hittite Microwave designing and developing transceiver hardware from baseband to antenna for wireless communications systems and has taught courses on DSP to international audiences for over 15 years. Dan is a contributor to Signal Processing Stack Exchange https://dsp.stackexchange.com/, and is currently at Microchip (formerly Microsemi and Symmetricom) leading design efforts for advanced frequency and time solutions.

For more background information, please view Dan’s Linked-In page.

Boston/Providence/New Hampshire Reliability Chapter

To view complete details for this event, click here to view the announcement and to register

Sponsor:   IEEE Boston/Providence/New Hampshire Reliability Chapter.  Please visit our website at www.ieee.org/bostonrel

Host: Quality Support Group

All times are US/Eastern

Location:  This Webinar is to be delivered virtually.

FREE Webinar

Dr. W. Edwards Deming defined a system as “a series of functions or activities (sub-processes, stages – hereafter components) that work together for the aim of the organization.” He added that the flow chart (or process map) is helpful toward understanding a system.  Process mapping is a technique that provides a structured analysis of a process flow.  It can be used to distinguish how work is actually being done from how it should be done.  It’s very important to map the actual situation (“As Is” or “Current State”) to identify opportunities for improvement.  Further study leads to mapping how the process “Should Be” (or Future State) once improvements are achieved.

Moving beyond basic process mapping, Value Stream Process Mapping (VSPM) can be viewed as a means to expose waste that’s hiding in the organization’s systems and processes.  It’s used to quantify the flow of throughputs as well as waste, rework, queue time and other drains on resources.  It is a technique that is easily and effectively applied in any type of process – manufacturing, laboratory, health care, retail, office, school…

Join Jim Leonard to examine clear guidelines to closely assess your current processes, and effective tools for exposing opportunities for improvement that eliminate frustration, errors, delays and excessive costs. The webinar will cover the following topics:

• Product Quality versus Process Quality
• Shewhart’s Concept of a Process
• Process Mapping Terms and Symbols
• Examples of Various Process Maps – Manufacturing and Non-Manufacturing
• Procedure for Generating the Initial Process Map
• Value Stream Process Mapping
  • The concept of “white space”
  • Defining meaningful and actionable data
  • Calculating the Value Effectiveness Ratio
• Moving from the Current State to the Future State
• Let’s Draft a Value-Stream Process Map

At registration, you must provide a valid e-mail address to receive the Webinar Session link approximately 15 hours before the event.  The link will only be sent to the e-mail address entered with your registration.  Please double-check for spelling errors.  If you haven’t received the e-mail as scheduled, please check your spam folder and alternate e-mail accounts before contacting the host.

Contact

• Email event contact
• Michael W. Bannan, Chair
• IEEE Boston/Providence/New Hampshire Reliability Chapter

Registration:  There is no cost to register or attend, but registration is required.  Register

Speaker:  Jim Leonard of Quality Support Group

Biography

James F. Leonard is a semi-retired consultant and educator who specializes in teaching the principles of the late Dr. W. Edwards Deming as a new system of management.  His clients come from a wide variety of industries, including electronics, health care, chemicals, biotech, injection molding, medical devices, and consumer products, and he has also worked with service organizations, schools, and government agencies.

Jim has worked with manufacturing and service organizations throughout North America, Europe, and in China. He serves as a senior consultant for Quality Support Group in Westford, MA.  For 29 years Jim presented his seminars for the Division of Corporate and Professional Education at the Worcester Polytechnic Institute in Worcester, MA, where he also served as an Adjunct Professor of graduate Operations and Industrial Engineering.

Jim is an alumnus of the U.S. Naval Academy, where he majored in Mechanical Engineering and Analytical Management, as well as the George Washington University and Clark University.  He resides in Ave Maria, FL, with his wife Kate. They are the proud parents of six children and the grandparents of ten grandchildren.

Agenda

11:00 AM   Technical Presentation

11:45 AM   Questions and Answers

12:00 PM   Adjournment

The meeting is open to all.  You do not need to belong to the IEEE to attend this event; however, we welcome your consideration of IEEE membership as a career enhancing technical affiliation.

There is no cost to register or attend, but registration is required.  Register

Geoscience and Remote Sensing Society and co-sponsoring Life Members

Registration click here: 

Speaker: Candence Brea Payne

Bio: Cadence Payne is a 4th year PhD student in the department of Aeronautics and Astronautics in the Space Telecommunications, Astronomy, and Radiation Laboratory advised by Dr. Kerri Cahoy. Her research at MIT focuses on technology development for small, Earth-observing spacecraft called CubeSats. She is currently the lead Systems Engineer for the Auroral Emission Radio Observer (AERO), a 3U CubeSat that uses a 4-meter vector sensor antenna to probe low-frequency emission from the Earth’s aurora. She is also supporting AEROS, a joint mission with MIT Portugal that collects data for climate and weather monitoring via ocean observations. ​She graduated from Morehead State University in 2017 with a BS in Space Science and a minor in astronomy.

Earth’s oceans are the largest defining feature of our planet and arguably an invaluable resource. Consequences of climate change threaten to have substantial and irreversible negative effects on our oceans, making it crucial to quickly understand and quantify behavioral changes resulting from increased human impact. Near-continuous, large-scale monitoring from space is revolutionizing methods for monitoring and forecasting ocean behavior. Nanosatellite platforms offer a potential solution for large-scale deployment of ocean-sensing instruments that provide detailed measurements of critical characteristics. M​onitoring these key features provides valuable insight to behavioral changes within the context of our shifting climate.

Constellations of nanosatellites that target key ocean characteristics could provide continuous ocean monitoring with high spatiotemporal resolution. Compared with current state-of-the-art ocean-observing spacecraft, such as NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) with a repeat cycle of 16 days, nanosatellites in Low-Earth Orbit (LEO) can observe the same ground scene roughly once every five days. While spacecraft such as NASA’s Geostationary Operational Environmental Satellite (GOES) achieves high temporal resolution, imaging the same scene every 30 seconds to 15 minutes depending on target region size, they are limited to imaging a single ground scene due to their stationary placement. Constellations of nanosatellites offer opportunities for measurement improvement including reducing revisit rates down from several days to hours, as well as increasing surface coverage through placement in orbital planes of varying inclinations.

Informative, emergent information such as sea surface salinity, front location, and fauna concentrations (namely phytoplankton) are derived from measuring key characteristics such as ocean color and Sea Surface Temperature (SST). Existing nanosatellite constellations such as Planet’s Flock-3p, composed of 88 3U (10 x 10 x 30 cm​ ) CubeSats, provide daily coverage of Earth’s land mass; however, they do not yet target oceans and coastal regions, nor tailor their imaging bands for these specific measurement needs. We present a concise set of ocean measurement band centers for an imaging payload targeting ocean color, a key behavioral feature. We assume narrow-band (10 – 15 nm bandwidth) ocean color measurements (​390 nm – 865 nm) and constrain the payload to within the volume of a U-class (3U / 6U / 12U) nanosatellite located in LEO ​(~ 450 km altitude)​. A radiometric link approach is used to develop a tool that compares the performance of multiple different available Commercial Off-the-Shelf (COTS) detectors, as well as different detector and optical front-end combinations. As detector sensitivity performance is driven primarily by aperture size and focal length, the imaging payload is assumed to have a scalable aperture (e.g., diameter, focal length) and tunable sensor parameters (e.g., pixel pitch, number of pixels, sensor format). We simulate the sensor’s performance primarily by scaling the aperture from 0.5 cm to 20 cm diameter, suitable for 0.5U – 12U CubeSat volumes. Simulation results determine key “cut-off” regions where collected data no longer achieve the desired measured sensitivity of the target feature. A discussion of the radiometric approach, including definition of the measurement and detector parameter trade-space, is provided, along with preliminarily results of the simulated performance.

Bio:

Cadence Payne is a 4th year PhD student in the department of Aeronautics and Astronautics in the Space Telecommunications, Astronomy, and Radiation Laboratory advised by Dr. Kerri Cahoy. Her research at MIT focuses on technology development for small, Earth-observing spacecraft called CubeSats. She is currently the lead Systems Engineer for the Auroral Emission Radio Observer (AERO), a 3U CubeSat that uses a 4-meter vector sensor antenna to probe low-frequency emission from the Earth’s aurora. She is also supporting AEROS, a joint mission with MIT Portugal that collects data for climate and weather monitoring via ocean observations. ​She graduated from Morehead State University in 2017 with a BS in Space Science and a minor in astronomy.

Engineering in Medicine and Biology Society

Reverse-engineering the brain demands complex approaches, which require dovetailed cross-disciplinary efforts and convergence research.  We believe nanoelectronics can be tailored to uniquely complement many other fields and practices of studying the brain through adding multifunctionality towards achieving convergence while keeping their electronic advantage to integrate and scale across spatial and temporal domains.  We refer to this multifunctional integrated nanoelectronics for the brain as neuroelectronics+.  In this talk, I will introduce our neuroelectronics+ concept.  I will also discuss several of my group’s recent examples along this vision embodied in the forms of microscopical, therapeutic, and connectomical neuroelectronics+, all enabled by new concepts in materials science, electrical engineering, and advanced manufacturing.  In addition to fundamental merit in engineering innovations, we envision the development and translation of neuroelectronics+, and more broadly, bioelectronics+ will transform both biology and medicine.

Speaker:  Dr. Hui Fang

Biography:

Hui Fang received his B.S. degree in 2009 from Tsinghua University and his Ph.D. degree in 2014 from the University of California, Berkeley, both in Materials Science and Engineering.  He was then a postdoctoral fellow at the University of Illinois, Urbana-Champaign from 2014 to 2016. After starting his independent career at Northeastern University in 2016, he joined Dartmouth College in 2021 as an Associate Professor in the Thayer School of Engineering.  Fang’s research interests encompass the fields of neuroelectronics, electronic materials, and electroactive organisms.  His research has been recognized by multiple awards, including an NSF CAREER Award (2019), an NIH R01 Award (2020), and an NIH U01 Award (2021), and has been cited over 7600 times.

Registration: 

Register in advance for this meeting:  https://events.vtools.ieee.org/m/290690

After registering, you will receive a confirmation email containing information about joining the meeting.