Their paper explored methods to cut back “widespread discrimination by hosts in opposition to visitors of sure races in on-line marketplaces” by utilizing peer-generated on-line evaluations. Their work has influenced sharing platforms’ methods to battle discrimination.
The award is given “to the manuscript judged to be most deserving for its contribution to the idea and apply of operations administration amongst all operations papers printed prior to now 3 years at Administration Science.”
Cui earned her PhD in operations administration from the Kellogg College of Administration, Northwestern College in 2014. In June 2022, she joined Amazon as a Visiting Tutorial. In that function, she is constructing and implementing cutting-edge causal inference, machine studying, optimization, and financial fashions to make provide chain choices.
Christos Faloutsos received Donald G. Fink Overview Paper Award
Of their 2016 overview paper, Faloutsos and his coauthors — Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu, Kejun Huang, and Evangelos E. Papalexakis — famous that whereas tensors, that are a higher-dimensional analogue of a matrix, already had “a wealthy historical past, stretching over virtually a century, and touching upon quite a few disciplines” their utilization had solely then “turn out to be ubiquitous in sign and information analytics on the confluence of sign processing, statistics, information mining and machine studying.” Their overview aimed “to supply a great place to begin for researchers and practitioners involved in studying about and dealing with tensors.”
The IEEE Sign Processing Society Overview Paper Award honors the authors “of a journal article of broad curiosity that has had substantial affect over a number of years on a topic associated to the Society’s technical scope.”
Faloutsos mentioned he believes the paper’s affect might be attributed to the truth that tensors are highly effective instruments. “They’ll deal with static graphs, time evolving graphs, information graphs which include triplets corresponding to topic, verb, object, e.g., who performs in what workforce, who lives in, what metropolis, who’s associates with whom.”
Faloutsos, who joined Amazon as a Scholar in 2018, researches large-scale information mining with emphasis on graphs and time sequences, anomaly detection, tensors, and fractals.
Nicholas Kullman received 2023 Transportation Science Journal Paper of the Yr
Within the paper, the authors “think about the issue of an operator controlling a fleet of electrical automobiles to be used in a ride-hailing service. The operator, searching for to maximise revenue, should assign automobiles to requests as they come up in addition to recharge and reposition automobiles in anticipation of future requests.”
“As autonomous automobiles turn out to be extra widespread, fleets of taxis might turn out to be extra centrally coordinated,” Kullman defined. “We needed to contemplate this case the place there’s a government that controls whether or not or not requests are accepted or rejected.
“We needed to take a look at good insurance policies for determining which automobiles ought to serve which requests and what do you do along with your automobiles after they’re not serving requests in order that they’re higher positioned to have the ability to serve future requests — a form of dynamic stochastic car routing downside.”
The workforce utilized deep reinforcement studying to develop new insurance policies. These insurance policies have been in contrast “in opposition to some extra classical operations analysis approaches” and “and in opposition to twin bounds on the worth of an optimum coverage.”
“I believe one of many different the explanation why the paper was nicely acquired was that we had twin bounds,” Kullman defined. “We constructed out a benchmark the place we knew we couldn’t have completed higher than that normal. Principally, for those who’re the taxi authority and precisely the place and when these requests are going to pop up, what would you do?”
The workforce discovered its “greatest coverage skilled with deep reinforcement studying outperforms the reoptimization strategy.” Kullman, who joined Amazon in 2021, earned a PhD in operations analysis from Université de Excursions. At Amazon, he researches optimization of middle-mile linehaul operations.
Niklas Karlsson named IEEE Fellow
Niklas Karlsson, a senior principal analysis scientist in Amazon Promoting Engineering, was not too long ago named an IEEE Fellow for “technical management to vSLAM and internet marketing.” The designation took impact on Jan. 1. Karlsson leads a workforce inside Amazon DSP (ADSP) engineering, the place he oversees analysis pertaining to ADSP bidding and optimization.
Karlsson earned a grasp’s in engineering physics from Lund College after which earned each a grasp’s in statistics and utilized likelihood and a PhD in management, dynamic programs, and robotics, from UC Santa Barbara. After graduating he joined Evolution Robotics as senior navigation and management engineer. Whereas there, he and his colleagues developed and patented vSLAM (visible simultaneous localization and mapping), an odometry- and vision-based SLAM system.
In 2005, Karlsson transitioned to a job as principal management engineer with Promoting.com. There he leveraged his experience in suggestions management and programs engineering to develop a subsequent technology of scalable and adaptive bidding options for advert marketing campaign optimization. By the use of acquisitions and mergers, he ended up with Yahoo, the place, after 17 years in internet marketing, he departed because the chief scientist and vp of analysis and improvement for Yahoo’s Demand Aspect Platform.
The IEEE Fellow designation is conferred by the IEEE board of administrators upon people with excellent information of accomplishment in any of the IEEE fields of curiosity. The overall quantity chosen in anyone yr can not exceed 0.1% of the overall voting membership. IEEE Fellow is the very best grade of membership and is acknowledged by the technical group as a prestigious honor and an essential profession achievement.
Joan Feigenbaum named IEEE Fellow
Joan Feigenbaum, an Amazon Scholar and the Grace Murray Hopper professor of pc science at Yale College, will probably be elevated to IEEE Fellow grade in 2024. The grade of IEEE Fellow “acknowledges distinctive distinction within the engineering career.”
Feigenbaum, who works within the AWS Cryptographic Algorithms group on privacy-preserving computation, was awarded “for contributions to trust-management programs and Web algorithmics.”
The Worldwide Affiliation for Cryptologic Analysis (IACR) Distinguished Lectures are awarded “to individuals who have made essential contributions to cryptology analysis.”
Krawczyk, who can also be an IACR Fellow, has made basic contributions to the cryptographic design of Web requirements like IPsec, IKE, and TLS. He additionally co-invented quite a few cryptographic algorithms together with the HMAC message authentication algorithm.
Previous to becoming a member of Amazon in July 2023, he was a principal researcher on the Algorand Basis and a part of its founding workforce. Previous to that, he was an IBM Fellow and Distinguished Analysis Workers Member on the IBM T.J. Watson Analysis Heart as a member of the Cryptography Analysis group from 1992 to 1997, and once more from 2004 to 2019. He was an affiliate professor on the Division of Electrical Engineering on the Technion in Israel from 1997 till 2004.
Aaditya Ramdas received Peter Gavin Corridor IMS Early Profession Prize
Aaditya Ramdas, an Amazon Visiting Tutorial who can also be an assistant professor of statistics and machine studying at Carnegie Mellon College (CMU), received the Peter Gavin Corridor Institute of Mathematical Statistics (IMS) Early Profession Prize. Ramdas was acknowledged “for important contributions within the areas of reproducibility in science and know-how; energetic, sequential decision-making; and assumption-light uncertainty quantification.”
The prize “acknowledges one researcher yearly who’s inside the first eight years of finishing their doctoral diploma.” Ramdas has a bacehlor’s diploma in pc science and engineering from IIT-Bombay and earned each a grasp’s and a PhD in statistics and machine studying from CMU.
Ramdas researches selective and simultaneous inference, game-theoretic statistics, and black-box predictive inference. His areas of utilized curiosity embody neuroscience, genetics and auditing.
Aaron Roth named CyLab’s 2023 Distinguished Alumni Award winner
Aaron Roth, an Amazon Scholar who’s the Henry Salvatori Professor of Laptop and Cognitive Science on the College of Pennsylvania, was named Distinguished Alumni Award winner by CyLab, Carnegie Mellon College’s safety and privateness analysis institute. The award acknowledges “Roth’s excellence in algorithms and machine studying, management within the area, and dedication to his college students.”
Roth, who joined Amazon as a Scholar in 2020, researches the algorithmic foundations of knowledge privateness, algorithmic equity, sport concept, studying concept, and machine studying.
