Over the last six months, several true gems have been added to the “collection” of the states where I ran at least one mile:
- Dec. 2017: Utah.
- Feb. 2018: Wisconsin.
- March 2018: Minnesota.
- June 2018, on a lovely road trip: North Dakota, South Dakota, Montana, and Wyoming.
The map is starting to look full. 39 states ran; only 11 states left. States where I ran at least one mile, marked in blue:
IEEE Fog World Congress was a blast. It takes a lot to put together an inaugural conference on a new topic — the organizing committee did a great job putting the event together.
Moderating the Fog and Edge from the Practitioners’ Perspective panel.
I served on the TPC of the Research Track of the conference, and also ended up contributing to 4 different sessions during the conference itself: Continue reading
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This year I have been fortunate to be able to add 4 new states to the collection of the states where I ran at least a mile: Georgia, Nebraska, Iowa, and Indiana. With the addition of Sweden and Denmark to the collection of countries I went running, this brings the totals to:
- US States: 33 out of 50.
- Countries: 14 out of 196.
States where I ran at least one mile.
We presented a demonstration of a fog computing testbed we designed and developed at the NYC Media Lab Summit in the New York City. The testbed use case we presented in this demonstration focused on computing a specific type of a learning operation, linear regression, in fog computing settings. A video of a preliminary version of this demonstration is available here.
Chege Gitau, Princeton EE BS’19, presenting the testbed to the attendees of the NYC Media Lab Summit’17.
The Nationals, the first ones for me, are an experience to be savored.
There is a sense of achievement in getting to this race — I’ve worked towards this qualifying-only race for 5 years, after all. Continue reading
We are grateful to Microsoft for supporting our work with a Microsoft Azure Research Award, which provides us the equivalent of $20,000 in Azure computing services.
The award will help us study new fog-specific computing program decompositions and performance-costs tradeoffs in realistic fog computing settings. We will also use this award to further examine the role of fog computing architectures in future Augmented Reality (AR) applications.
The principal investigators on this award are myself, Liang Zheng, and Mung Chiang.
Now living in a lush quiet suburban New Jersey Princeton area, I miss exactly two things about New York City: the food scene and my improv classes. If I move to a big city yet again, improv training will be the first thing I seek out. Well, maybe the second. Following a couple of good restaurants.
Improv training is amazing preparation for public speaking, especially the unpredictable kinds of it, like panels and Q&A sessions. Continue reading
The Chronicle recently published an interesting opinion piece that mentions several aspects of working in academia that may not be as evident as commonly discussed ones.
Having worked in industry and academia, I appreciated the commentary. There are indeed relatively subtle differences between the two career tracks that work for some but not for others. For example, when working in industry I found surprising how little I was allowed to say about my work to outsiders. This is the kind of difference whose importance varies widely from one person to the next: some enjoy sharing their work, some are OK one way or another, while others see sharing as a chore they are happy to drop when transitioning from academia to industry.
Aya Wallwater, Gil Zussman, and myself received the 2016 IEEE Communications Society Young Author Best Paper Award at the 2016 IEEE GLOBECOM earlier this week, for our paper on measurements and algorithms for networks of energy harvesting nodes that appeared in the IEEE Transactions on Mobile Computing in 2013 [Paper PDF]. This IEEE Communications Society Award recognizes originality, utility, timeliness, and impact of the work.
This is my second IEEE Communications Society Award. My previous one is the 2011 IEEE Communications Society Award for Advances in Communications.
Just as a I started considering using Pebble Watches as a low-power IoT platform for my experiments with fog computing, Pebble announced that the watches will not be manufactured anymore. Pebble is sold to Fitbit; independent operation of Pebble stops. And this is only mere weeks after I started characterizing Pebble performance.