Short Bio

Ahsan Ali is an Applied Scientist at Amazon Machine Learning Solutions Lab (MLSL) within AWS. He Completed his postdoctoral appointment at the Data Science and Learning division of Argonne National Laboratory under Dr. Zhengchun Liu. He obtained his Ph.D. from the Department of Computer Science and Engineering at University of Nevada Reno under Dr. Feng Yan. He earned his Masters from Koç University Istanbul, Turkey with Dr. Öznur Özkasap .His areas of interests are Machine Learning, Cloud Computing, Big Data, Computer Systems, Performance Optimization.

Latest News

• October 2023 Presented two papers at Amazon Machine Learning conference (AMLC) .

• September 2023 Two papers have been accepted at Amazon Machine Learning conference (AMLC) .

• September 2023 Our blog post in colaboration with Duke Energy for Improving asset health and grid resilience using machine learning is live.

• April 2023 Our blog post in colaboration with NXP Semiconductors for predicting new and existing product sales is live.

• December 2022 I have been promoted to Applied Scientist II.

• June 2022 I have joined Amazon Machine Learning Solutions Lab (AWS MLSL) as an Applied Scientist.

• May 2022 I will be joining Amazon Machine Learning Solutions Lab (AWS MLSL) as an Applied Scientist.

• May 2022 Paper has been accepted by VLDB 2022.

• March 2022 I have been awarded IMPACT ARGONNE AWARD for my outstanding services as technical program committee co-chair during Postdoctoral Research and Career Symposium ANL 2021. Thank you!

• January 2022 I have been elected as Social Liaison Officer of the Postdoctoral Society of Argonne (PSA) for year 2022. Thank you PSA!

• November 2021 Our Paper Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval recieved best paper award!

• November 2021 Served as a technical program committee chair at Postdoctoral Research and Career Symposium ANL.

• October 2021 Paper has been accepted by XLOOP 2021.

• August 2021 Invited as a TPC member of NeurIPS 2021 Workshop on Federated Learning.

• August 2021 Invited to give a talk at KOC University Artificial Intelligence center.

• June 7, 2021 Joined Argonne National Lab as a postdoctoral appointee.

• May 2, 2021 Successfully defended my PhD dissertation.

• December 7, 2020 Awarded GSA's Fall 2020 Outstanding Graduate Student Scholarship, thanks GSA!.

• December 2, 2020 Paper has been accepted by AAAI-21.

• November 23, 2020 Successfully defended my PhD Thesis Proposal !!.

• November 19, 2020 Paper has been accepted by IEEE TNSM Journal.

• August 20, 2020 Paper has been accepted by SC 2020.

• March 27, 2020 Paper has been accepted by HPDC 2020.

• Feburary, 2020 I will be doing a spring research internship at Nokia-Bell Labs at Stuttgart, Germany.

• January, 2020 Our paper TiFL: A Tier-based Federated Learning System is available on arxiv now.

• December, 2019 I will be presenting our paper It's not a Sprint, it's a Marathon: Stretching Multi-resource Burstable Performance in Public Clouds (industry track) at 20th international ACM/IFIP/USENIX Middleware conference( Middleware) 2019, UC Davis, USA.

• October 31, 2019 Awarded Middleware 2019 travel grant.

• October 7, 2019 Paper has been accepted by Middleware 2019.

• September, 2018 I will be presenting our paper CEDULE: A Scheduling Framework for Burstable Performance in Cloud Computing at IEEE International Conference on Autonomic Compting ( ICAC) 2019, Trento, Italy.

• June 11, 2018 Paper has been accepted by ICAC 2018.