Rahul Urgaonkar Winner IEEE COMMUNICATIONS SOCIETY WILLIAM R. BENNETT PRIZE
Rahul Urgaonkar, a senior application scientist with Amazon advertising, and his co -authors Kevin Spiteri and Ramesh K. Sitaraman, were selected for the IEEE COMMUNICATIONS SOCIETY WILLIAM R. BENNETT -award earlier this year.
The authors were honored for the 2020 paper, “Bola: near optimal bitrate adaptation to online videos” during the annual IEEE International Conference on Communications (ICC) in May in Rome. The award recognizes the publication of an original paper published in the IEEE/ACM transactions on networks or IEEE Transactions on networking and service management in the previous three years
Urgaonkar, who contributed to the paper in his forming role as a senior scientist with Prime Video, Neded Bola is an abbreviation for buffer -based Lyapunov -algorithm. “It is a new algorithm for Adaptive Bitrate Streaming (ABR) that refers to the set of techniques used by modern video players to optimize the playback performance of videos streamed online,” he explained.
Bola offers significant improvements in streaming performance across an intervals of measurements, such as the frequency of re-double/breaks bold playback or the quality of the videos shown.
“These measurements directly affect customer experience with the primary video, and optimization of them is important to maximize user engagement and satisfaction with the service. From a research perspective, Bola was the first ABR algorithm to use a mathematical utility for the actors.
Urgaonkar, who is now working with the Amazon Demand Side Platform Team, said he was completed to win the award. “It is a recognition of the impact of this work, both in promoting the advanced and its practical tools. It was also the opportunity to show the amazing work done on Amazon Prime video to the broader research community.”
Yizhou Sun receives several honors
Yizhou Sun, an Amazon Learn and Associate Professor of Computer Science at the University of California, Los Angeles (UCLA) recently received several honors. Sun works a learned in Amazon ads where she constructs a heterogeneous information network based on Amazon ad data.
She was named on IEEE Intelligent System’s “AI’s 10 to Watch” list in March. Sun was quoted as “Pioneer in Heterogenic Information Network (Hin) Mining, with a recent focus on deep graph learning, neural symbolic reasoning and delivery of neural solutions to multi -gy dynamic systems. Her work has a wide range of applications, from E -trade, health care, hardware -design.”
Earlier this year, Sun also received Siam International Conference on Data Mining (SDM23) Early Career Data Mining Research Award. This award recognizes “one that has created unique, influence and last contribution in data analysis” within 10 years of receipt of their PhD. Sun won his Ph.D. in Computer Science of the University of Illinois in Urbana-Champaign in 2012.
Finallly won Sun and her co -authors the web conference Best student paper price – Which means it was a top 2 paper among 1,8,000 submissions – at the ACM Web Conference in May to their paper, “A single vector is not enough: Taxonomy Expansion via Box Embeddings”.
Sun is also a two-mob container of an Amazon Research Award. She won her 2018 award from Amazon’s Product Grafteam and her 2020 prize from the Deep Graph Learning Team.
Pooyan Amir-Ahmadi wins 2023 QE Best Paper Prize
Pooyan Amir -Ahmadi, a Senior Economist of Supply Chain Optimization Technologies (Scot) team, and his co -author Thorsten Drautzburg received the quantitative economic economic economic award awarded from the Econometric Society. The authors, we honored for their paper from 2021, “Identification and inference with ranking restrictions”.
Econometric society is “an international community for promoting economic theory in its relationship with statistics and mathematics.” The award switches annually between quantitative economy (where the award -winning paper was published in 2021) and theoretical economy. The only paper winner is selected from all papers published in the corresponding journal in the previous two years of an external selection.
Alexandros Potamianos raised to Isca fellow
Alexandros Potamianos, an Amazon Learn and Assistant Professor of Electric and Computer Technology at the University of Southern California (USC) was appointed fellowship in the International Speech Communication Association (ISCA).
Potamianos, who works as a learned at Amazon’s Alexa Natural Coralth Team, was honored “for contributions to human -centered speech and multimodal signal analysis and conversation technologies”. He will be recognized at Interspech 2023 in Dublin, Ireland, in August.
Alexandre Belloni receives Bank of America Faculty Price
Alexandre Belloni, an Amazon -Lærd and Westgate Distinguished Professor of Deciding Sciences in Fuqua School of Business at Duke University, received the 2022 Bank of America Faculty Award in April.
The Bank of America Award is the honor of Fuqua’s highest faculty and is made for excellent contributions to the school with regard to teaching performance, research benefit, management and service to Fuqua, Duke University and outside Duke.
Belloni, who joined Amazon as a learned in 2018, is studying problems related to mechanism design and machine learning by fulfilling Amazon (FBA), the subdivision of Amazon’s supply chain optimization technology (SCOT) organization for third-party sellers using Amazon’s storage and fulfillment of capacity.