updated keynote speaker information

_data/program.yml

@@ -8,10 +8,10 @@ days:
       - name: Introduction
         time_start: '08:00'
         time_end: '08:10'
-      - name: "Keynote 1"
+      - name: Deploying Reinforcement Learning for Energy Management at Scale
         time_start: '08:10'
         time_end: '08:40'
-      - name: "Economizer Optimization with Reinforcement Learning: An Industry Perspective"
+      - name: 'Economizer Optimization with Reinforcement Learning: An Industry Perspective'
         time_start: '08:10'
         time_end: '08:40'
       - name: Real-World Implementation of Reinforcement Learning Based Energy Coordination for a Cluster of Households

_speakers/presentation-5_speaker-2.md

@@ -8,11 +8,5 @@ permalink: /:collection/:categories/Presentation 5 Speaker 2
 
 <article>
     <img class="speaker-img" src="/assets/images/bharathan-balaji.jpeg">
-    <p><a href="https://www.linkedin.com/in/bharathanbalaji/" target="_blank">Bharathan Balaji</a> is a Senior Applied Scientist in Amazon working on sustainability. He is interested in developing methods and systems that help make the world a better place: by reducing waste, through education, and with automation. He has worked on reinforcement learning, smart buildings and internet of things technologies. He has published 62 articles and has >3000 citations.</p>
-
-    <p>Since joining Amazon in 2018, he has contributed to the launch of SageMaker RL, a platform for RL workloads in AWS, and to the launch of AWS DeepRacer, a 1/18th scale car that drives autonomously using RL. He has helped 10+ AWS customers in supply chain, computing, industrial control, and many others. He collaborates with academic researchers in UC Berkeley, UCLA, and UC San Diego.</p>
-
-    <p>He was a Postdoc in UCLA for 2 years, where he worked on the intersection of Internet of Things (IoT) and machine learning. He developed technology to personalize notifications, monitor aquatic animals, and energy harvesting indoor sensors. He mentored 10+ graduate students during this time. He published 11 papers in venues such as BuildSys, Applied Energy, Transactions on CPS, and started a workshop on Safe IoT, now part of IEEE S&P.</p>
-
-    <p>He did his PhD in UC San Diego in smart buildings, where he developed a software stack for buildings for automation, convenience, and saving energy. He created wireless sensors that detect occupancy, measure plug load energy. He designed an occupancy inference method with WiFi signals. He developed a software thermostat that improved comfort and identified faults, it was deployed in the CSE building for 5+ years. In collaboration with 7 institutions, I made a knowledge graph for buildings that is now adopted in industry, and in discussions to become part of a standard in ASHRAE.</p>
+    <p><a href="https://www.linkedin.com/in/bharathanbalaji/" target="_blank">Bharathan Balaji</a> is a Senior Applied Scientist at Amazon that works on developing methods and systems that leverage machine learning (ML) to address global challenges such as waste reduction, education, and automation. He has over 5 years of experience in applied research and innovation, with a PhD in Computer Science and Engineering from UC San Diego. His core interests include machine learning (ML), smart buildings, internet of things (IoT), and sustainability. He has contributed to the launch and growth of AWS products such as SageMaker RL and DeepRacer, enabling customers across various domains to solve complex problems with RL (reinforcement learning). He has also collaborated with leading academic institutions and published 62 papers in top-tier venues, with more than 3000 citations. He is passionate about making a positive impact on the world through ML and technology.</p>
 </article>

_talks/keynote-1.md

@@ -1,5 +1,5 @@
 ---
-name: Keynote 1
+name: Deploying Reinforcement Learning for Energy Management at Scale
 speakers:
   - Bharathan Balaji
 categories: