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Yin Sun

Bryghte D. and Patricia M. Godbold Endowed Associate Professor
Ginn Faculty Achievement Fellow
Co-founder, Age of Information Workshop
Co-founder, Modeling and Optimization in Semantic Communications Workshop
Editor, Journal of Communications and Networks (JCN)
Associate Editor, IEEE Transactions on Network Science and Engineering
Associate Editor, IEEE Transactions on Information Theory

Department of Electrical and Computer Engineering
Auburn University
200 Broun Hall
341 War Eagle Way
Auburn, AL 36849-5201, USA
Email: yzs0078 at auburn dot edu
Office: 213 Broun Hall
Tel: +1-334-844-1867
Fax: +1-334-844-1809

Openings:

Ph.D Students:
Prof. Yin Sun's research group has several PhD positions in the areas of Machine Learning and Networked Intelligent Systems. Here is a FLYER of the positions. Dr. Sun's accomplishments are listed HERE. If you are interested, please send me your CV, GPA, Transcript, and other graduate application documents.

Undergraduate Students:
Prof. Yin Sun's research group has 2 - 4 positions that provide Research Experience to Undergraduate Students. If you are interested, please send me your CV, GPA, and Transcript.


Information for students interested in Machine Learning:
You can use ChatGPT to write Machine Learning code and find tutorials (notebooks), datasets, and pretrained models on roboflow and Kaggle. In addition, here are a few Introductory Online Courses for Machine Learning:
Introduction to Python
Computer Vision (YOLO)
Machine Learning Specialization
Machine Learning A-Z
Generative AI with Large Language Models

Bio: Yin Sun is the Bryghte D. and Patricia M. Godbold Endowed Associate Professor in the Department of Electrical and Computer Engineering at Auburn University, Alabama. He received his B.Eng. and Ph.D. degrees in Electronic Engineering from Tsinghua University, in 2006 and 2011, respectively. He was an Assistant Professor in the Department of Electrical and Computer Engineering at Auburn University from 2017-2023 and a Postdoctoral Scholar and Research Associate at the Ohio State University from 2011-2017. His research interests include Wireless Networks, Machine Learning, Semantic Communications, Age of Information, Information Theory, and Robotic Control. He is also interested in applying AI and Machine Learning techniques in Agricultural, Food, and Animal Sciences.

He has served as an Associate Editor of the IEEE Transactions on Information Theory and IEEE Transactions on Network Science and Engineering, an Editor of the Journal of Communications and Networks, an Editor of the IEEE Transactions on Green Communications and Networking, a Guest Editor of the IEEE Journal on Selected Areas in Communications for the special issue on "Age of Information in Real-time Systems and Networks," a Guest Editor of Entropy for the special issue on "Age of Information: Concept, Metric and Tool for Network Control," a Guest Editor of Frontiers in Communications and Networks for the special issue on "Age of Information," a Guest Editor of the IEEE Journal on Selected Areas in Information Theory for the special issue on "The Role of Freshness and Semantic Measures in the Transmission of Information for Next Generation Networks," and a Guest Editor of the Journal of Communications and Networks for the special issue on "Age and Semantics of Information." He has served in the organizing committees of ACM MobiHoc 2019, 2021-2023, IEEE INFOCOM 2020-2021, IEEE/IFIP WiOpt 2020, IEEE WCNC 2021, IEEE/IFIP WiOpt 2024, and International Teletraffic Congress 2022 (ITC 34). He founded the Age of Information (AoI) Workshop in 2018 and the Modeling and Optimization in Semantic Communications (MOSC) Workshop in 2023. His articles received the Best Student Paper Award of the IEEE/IFIP WiOpt 2013, Best Paper Award of the IEEE/IFIP WiOpt 2019, runner-up for the Best Paper Award of ACM MobiHoc 2020, and 2021 Journal of Communications and Networks (JCN) Best Paper Award. He co-authored a monograph Age of Information: A New Metric for Information Freshness, published by Morgan & Claypool Publishers in 2019. He received the Auburn Author Award of 2020, the National Science Foundation (NSF) CAREER Award in 2023, the Bryghte D. and Patricia M. Godbold Endowed Professorship in 2023, the Ginn Faculty Achievement Fellowship in 2023, and the College of Engineering's Research Award for Excellence (Senior Faculty) in 2024. He is a Senior Member of the IEEE and a Member of the ACM. His research is sponsored by the National Science Foundation, the Army Research Office, the Office of Naval Research, and the United States Department of Agriculture.

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Google Scholar: https://bit.ly/3kDmyVF

Curriculum Vitae: [pdf]

Tutorial, Talk, and Poster:
  1. Demand Forecasting at Alabama Food Pantries Using Machine Learning Methods [slides]
  2. How Does Data Freshness Affect Real-time Supervised Learning? [poster]
  3. Optimal Pilot Scheduling for Throughput Maximization over Wireless Channels: A Battle with Non-Monotonic Information Aging [poster]
  4. Status Updates with Priorities: Lexicographic Optimality, Talk slides at ITA 2020 [slides]
  5. Age of Information: Providing Fresh Data to Real-time Applications, Tutorial lecture at IEEE PIMRC 2019 (Part I) [slides]

News:

  1. [August 2024] Our paper "Reinforcement Learning Over Noisy Channels: An Information Bottleneck Approach" has been accepted by the IEEE MILCOM Conference 2024.

  2. [August 2024] We are pleased to welcome four new PhD students to our lab: Sirin Chakraborty, who joined us in Spring 2024, and Sam Chamoun, Hutama Bramantyo, and Yuchen Tian, who will be joining in Fall 2024. Also, Dr. Sun will serve as the co-advisor for Mengxue Li from Tuskegee University.


    Sirin Chakraborty

    Sam Chamoun

    Hutama Bramantyo

    Yuchen Tian

    Mengxue Li
  3. [August 2024] In addition, Dr. Sun is working with five undergraduate students this semester: Isaac Lamm, Kathryn Lim, Christian McDowell, Patrick Howell, and Christopher R. Colon.


    Isaac Lamm

    Kathryn Lim

    Christian McDowell

    Patrick Howell

    Christopher R. Colon
  4. [July 2024] Dr. Sun advised two undergraduate students, Aditya Menon and Benson Jiang, as part of Auburn University’s Summer Undergraduate Research Experience (SURE) program, along with an NSF REU student Chris Colon, in the summer of 2024. Mr. Menon developed a system for real-time facial detection and tracking. Mr. Jiang worked on designing an integrated control system for autonomous drone navigation and environmental monitoring. Mr. Colon created a line-following robot programmed to accurately follow designated paths.

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  5. [July 2024] Prof. Yin Sun will serve as an Associate Editor for the IEEE Transactions on Information Theory.

  6. [April 2024] Five groups of students from Auburn University and Tuskegee University presented posters on their projects for the “Applied Statistics and Machine Learning” course. The project topics included Bacteria Image Detection, Goat Segmentation, Food Demand Forecasting, Meat Freshness Evaluation, and Food Image Classification.

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  7. [April 20, 2024] Profs. Yin Sun and Rui Chen take students of the Applied Statistics and Machine Learning course to attend the Goal Day event at Tuskegee University. Here are a few photos from the event.

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  8. [April 2024] Congratulations to Tasmeen Zaman Ornee and Md Kamran Chowdhury Shisher for successfully earning their PhD degrees! During their doctoral studies, Tasmeen and Kamran conducted impressive research on remote estimation, remote inference, and goal-oriented communications for safety monitoring. Tasmeen will continue to advance her research career as a PostDoc at the Ohio State University, working with Ness Shroff. Kamran is set to collaborate with Christopher Brinton and Mung Chiang as a PostDoc at Purdue University. I am incredibly proud of their hard work and achievements and am excited to see how their careers unfold.

  9. [April 2024] Our paper "Model-Free Change Point Detection for Mixing Processes" has been accepted by the Open Journal of Control Systems (OJ-CSYS).

  10. [April 2024] Our paper "Timely Communications for Remote Inference" has been accepted by the IEEE/ACM Transactions on Networking (ToN).

  11. [April 2024] Our paper "Goal-Oriented Communications for Remote Inference under Two-Way Delay with Memory" has been accepted by the IEEE International Symposium on Information Theory (ISIT) Conference 2024.

  12. [April 2024] Prof. Sun was honored to receive the College of Engineering's Research Award for Excellence (Senior Faculty), a recognition awarded to senior faculty at the associate or full professor level.

  13. [February 2, 2024] Prof. Sun took the students of the "Applied Statistics and Machine Learning" course from Auburn University and Tuskegee University to visit the Auburn United Methodist Church food pantry for an educational field trip. Here are a few photos from the event.

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  14. [February 2024] Our paper "On the Monotonicity of Information Aging" has been accepted by the IEEE INFOCOM Age and Semantics of Information (ASoI) Workshop 2024.

  15. [February 2024] Our paper "Learning-augmented Online Minimization of Age of Information and Transmission Costs" has been accepted by the IEEE INFOCOM Age and Semantics of Information (ASoI) Workshop 2024.

  16. [February 2024] Prof. Sun will give an invited presentation "Remote Inference for Safety" at the Information Theory and Applications (ITA) Workshop 2024.

  17. [February 2024] Kamran Shisher will give an invited poster presentation "Timely Inference over Networks" on the Graduation Day at the Information Theory and Applications (ITA) Workshop 2024.

  18. [February 2024] Kamran Shisher will give an invited presentation "Timely Inference over Networks" at the Southeast Control Conference 2024.

  19. [February 2024] Our paper "Learning-augmented Online Minimization of Age of Information and Transmission Costs" has been accepted by the IEEE INFOCOM Age and Semantics of Information (ASoI) Workshop 2024.

  20. [February 2024] Our paper "On the Monotonicity of Information Aging" has been accepted by the IEEE INFOCOM Age and Semantics of Information (ASoI) Workshop 2024.

  21. [Decmber 2023] Our paper "Timely Communications for Remote Inference" has been submitted to the IEEE/ACM Transactions on Networking.

  22. [November 2023] Our paper "Goal-Oriented Communications for Remote Inference with Two-Way Delay" has been submitted to the IEEE ICC 2024.

  23. [October 2023] Our paper "Sampling of the Wiener Process for Remote Estimation over a Channel with Unknown Delay Statistics" has been accepted by the IEEE/ACM Transactions on Networking.

  24. [October 2023] Prof. Sun will present a keynote speech at the Workshop on Quality, Age, and Value of Information for Tactical Networks, which is co-located with the IEEE Military Communications Conference 2023.

  25. [October 2023] Our paper "Multi-Armed Bandits with Dependent Arms" has been accepted by Machine Learning.

  26. [October 2023] Our paper "Sampling for Remote Estimation of the Wiener Process over an Unreliable Channel" has been accepted by the ACM SIGMETRICS/IFIP Performance 2024 and the Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS).

  27. [September 2023] Our paper "Hoeffding's Inequality for Markov Chains under Generalized Concentrability Condition" has been submitted to the Journal of Machine Learning Research.

  28. [September 2023] Our paper "A Transfer Learning-Based Deep Convolutional Neural Network for Detection of Fusarium Wilt in Banana Crops" has been submitted to AgriEngineering.

  29. [September 2023] Our paper "Learning and Communications Co-Design for Remote Inference Systems: Feature Length Selection and Transmission Scheduling" has been accepted by the IEEE Journal on Selected Areas in Information Theory.

    Be sure to check Kamran's latest paper on Learning and Communications Co-Design for Remote Inference Systems. The co-design that he developed can reduce the inference error by 10 - 10000 times. This highlights the significant potential of timely semantic communications in enhancing the performance of networked AI.

  30. [September 2023] Our paper "Age-Optimal Multi-Flow Status Updating with Errors: A Sample-Path Approach" has been accepted by the Journal of Communications and Networks (JCN).

  31. [September 2023] Our paper "Context-aware Status Updating: Wireless Scheduling for Maximizing Situational Awareness in Safety-critical Systems" has been accepted by the IEEE MILCOM Workshop 2023.

  32. [September 2023] Prof. Sun attended the AIFARMS AI Institute Annual Meeting during September 7 - 8 at UIUC with his collaborators and colleagues from Tuskegee University.

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  33. [August 2023] Prof. Sun received the Bryghte D. and Patricia M. Godbold Professorship.

  34. [August 2023] Prof. Sun is named a Ginn Faculty Achievement Fellow.

  35. [August 2023] Call for Papers for a new Workshop on Modeling and Optimization in Semantic Communications (MOSC), which will be organized at WiOpt 2023. The general chairs are Yin Sun and Elif Uysal. The TPC chairs are Elif Tugce Ceran and Beatriz Soret. We look forward to receiving your submissions!

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  36. [August 2023] Prof. Sun's student Jiayu Pan joined Zhejiang University as an Assistant Professor in Fall 2023.

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  37. [August 2023] Prof. Sun and Prof. Rui Chen co-advised an NSF REU student Suchit Bapatla in the summer of 2023. Mr Bapatla presented his poster "Image Classification of Fruits and Vegetables for Tracking Food Pantry Inventory" at Tuskegee University.

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  38. [July 2023] Prof. Sun presented a keynote speech titled "Timely Communications for Remote Inference and Estimation: A First Principles Approach" at the Workshop on Resource Allocation and Cooperation in Wireless Networks (RAWNET) on August 24, 2023 which is co-located with the IEEE WiOpt Conference 2023.

  39. [July 2023] Our paper "A Whittle Index Policy for the Remote Estimation of Multiple Continuous Gauss-Markov Processes over Parallel Channels" has been accepted by the ACM MobiHoc 2023 Conference.

    To the best of our knowledge, this paper makes the following contributions to the areas of remote estimation and Age of Information (AoI) minimization:

    a. We study optimal sampling and transmission scheduling for the remote estimation of multiple continuous Gauss-Markov processes over parallel channels with i.i.d. random transmission times. This problem is a continuous-time Restless Multi-armed Bandit (RMAB) problem with a continuous state space, for which it is typically quite challenging to show indexability or to evaluate the Whittle index efficiently. We are able to prove indexability and derive an exact expression for the Whittle index. These results generalize prior studies on the remote estimation of a single Gauss-Markov process to the multi-source, multi-channel case.

    b. We further investigate signal-agnostic remote estimation. In this context, the optimal sampling and scheduling problem becomes a multi-source AoI minimization problem over parallel channels with i.i.d. random transmission times. We establish the indexability property and derive a precise expression of the Whittle index. Technically, these results carry forth and expand upon prior findings on Whittle index based AoI minimization in the following manner: In prior studies, the transmission time of each packet remains constant, resulting in the optimality of the zero-wait sampling policy. Consequently, the Whittle index derived in that case consistently maintains a non-negative value. In contrast, our results take into account scenarios involving i.i.d. random transmission times. In such instances, the optimality of the zero-wait sampling policy is not guaranteed, leading to the possibility of both positive and negative values for the Whittle index.

    b. Moreover, our results unite two theoretical frameworks for remote estimation and AoI minimization: threshold-based sampling and Whittle index-based scheduling. In the single-source, single-channel scenario, we demonstrate that the optimal solution to the sampling and scheduling problem can be equivalently expressed as both a threshold-based sampling strategy and a Whittle index-based scheduling policy. Notably, the Whittle index is equal to zero if and only if two conditions are satisfied: (i) the channel is idle, and (ii) the estimation error is precisely equal to the threshold in the threshold-based sampling strategy. Moreover, the methodology employed to derive threshold-based sampling strategies in the single-source, single-channel scenario plays a crucial ole in establishing indexability and evaluating the Whittle index in the more intricate multi-source, multi-channel scenario.

  40. [June 2023] Call for Workshop Proposals for ACM MobiHoc 2023, which will be held in-person in Washington DC, USA, between October 23-26, 2023. I am pleased to work with Andres Garcia-Saavedra from NEC Laboratories Europe, Germany and Parinaz Naghizadeh from The Ohio State University as Workshop Chairs of ACM MobiHoc 2023. Please send your workshop proposal to mobihoc23.workshops@gmail.com. Looking forward to seeing you at MobiHoc!

  41. [May 2023] The 6th Annual Age of Information Workshop was held at IEEE INFOCOM 2023. The general chairs are Atilla Eryilmaz and Sastry Kompella. The TPC chairs are Clement Kam and Ahmed Arafa.

  42. [April 22, 2023] Profs. Rui Chen, Yin Sun, and Clarissa Harris presented a talk, entitled "Mobile AI-Based Goat Meat Grading for Social Disadvantaged Producers in Alabama," at the Goal Day event at Tuskegee University. Here are a few photos from the event.

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  43. [April 21, 2023] Profs. Yin Sun and Rui Chen took the students of the "Applied Statistical and Machine Learning" course from Auburn University and Tuskegee University to visit the Auburn United Methodist Church food pantry.

  44. [Apr. 2023] Prof. Yin Sun received the NSF CAREER Award.

  45. [Apr. 2023] Prof. Yin Sun has been invited to be the keynote speaker at the RAWNET Workshop, which will be held in conjunction with WiOpt 2023.

  46. [Apr. 2023] Mr. Kevin Yan is a warm-hearted young man from Auburn High School who is passionate about using machine learning techniques to detect Panama disease. This plant disease pandemic has been ravaging banana plants across Asia, Australia, the Middle East, and Africa, posing one of the most severe threats to the banana industry worldwide. Kevin has been working with me to develop a deep neural network based computer vision algorithm to detect banana disease. Recently, his project was selected as one of the top four finalists at the Alabama Science and Engineering Fair (ASEF). As a result, he has been recommended to attend the International Science and Engineering Fair (ISEF) 2023, taking place from May 14-19 in Dallas, Texas.

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  47. [Apr. 2023] Prof. Sun served as a judge for the Alabama Science and Engineering Fair on April 1, 2023.

  48. [Mar. 2023] Call for Papers for the IEEE Journal on Selected Areas in Information Theory special issue on "The Role of Freshness and Semantic Measures in the Transmission of Information for Next Generation Networks." The guest editors are Sennur Ulukus (lead), Elif Uysal (lead), Deniz Gunduz, Victoria Kostina, Petar Popovski, Yin Sun, and Aylin Yener. The submission deadline is (02 Feb. 2023, 02 Mar. 2023) extended to 17 Mar. 2023. We look forward to receiving your submissions!

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  49. [Mar. 2023] Tasmeen Zaman Ornee is selected for the 100+ Women Strong Outstanding Graduate Student Award 2023. Congratulations to Tasmeen!

  50. [Mar. 2023] Prof. Sun is granted tenure and promoted to the rank of Associate Professor and Tenure, effective at the beginning of the Fall Semester of 2023.

  51. [Feb. 2023] Mr. Kevin Yan's project, entitled "Utilizing Convolutional Neural Networks, Deep Learning, and Computer Vision in a Novel Approach to Banana Disease Management," received five awards at the Greater East Alabama Regional Science and Engineering Fair on February 24, 2023. He has been an intern in our group since the summer of 2022. Congratulations to Kevin!

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  52. [Feb. 2023] Prof. Sun presented a talk entitled "Information Freshness for Real-time Inference and Estimation: A Few Recent Results" at the Information Theory and Applications Workshop (ITA) 2023.

  53. [Jan. 2023] Prof. Sun will serve as an Editor of the IEEE Transactions on Green Communications and Networking.

  54. [Dec. 2022] Dr. Haoyue Tang from Yale University visited our group during December 12-13.

  55. [Dec. 2022] Prof. Sun presented an invited talk entitled "How Does Data Freshness Affect Real-time Supervised Learning?" at the Ohio State University.

  56. [Nov. 2022] Prof. Sun will co-teach a new course "Applied Statistical and Machine Learning" in Spring 2023 at both Auburn University and Tuskegee University. [slide] [flyer]

  57. [Nov. 2022] Prof. Sun presented our work entitled "Demand Forecasting at Alabama Food Pantries Using Machine Learning Methods" at the Professional Agricultural Workers Conference (PAWC) on November 15, 2022. [slides]

  58. [Nov. 2022] Prof. Sun, Thomas Orisson, and Kamran Shisher discussed with Tuskegee faculty and students.

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  59. [Nov. 2022] Prof. Sun presented an invited online talk entitled "Age of Information (and Beyond): How to Keep Your Data Fresh" at the Lightning Talk Series Organized by the Tsinghua Alumni Academia Club of North America.

  60. [Oct. 2022] Call for Papers for the Entropy Special Issue on "Age of Information: Concept, Metric and Tool for Network Control." The submission deadline is 09 Oct. 2022.

  61. [Oct. 2022] Prof. Sun presented an invited online talk entitled "How Does Data Freshness Affect Real-time Supervised Learning?" at the University of Oulu, Finland.

  62. [Sep. 2022] Prof. Sun presented an invited online talk entitled "How Does Data Freshness Affect Real-time Supervised Learning?" at Fudan University.

  63. [Sep. 2022] Prof. Sun presented an invited online talk entitled "How Does Data Freshness Affect Real-time Supervised Learning?" at the International Teletraffic Congress (ITC) 34.

  64. [Sep. 2022] Our paper "How Does Data Freshness Affect Real-time Supervised Learning?" has been submitted to IEEE/ACM Transactions on Networking.

  65. [Aug. 2022] Prof. Sun will serve as an Associate Editor of the IEEE Transactions on Network Science and Engineering.

  66. [Aug. 2022] We developed seven machine learning algorithms to predict the number of household visits to Alabama food pantries. The source codes and performance of these machine learning algorithms are provided in a GitHub repository. News 1, News 2, Newspaper

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  67. [Aug. 2022] Our paper "Age-optimal Scheduling over Hybrid Channels" has been accepted by IEEE Transactions on Mobile Computing.

  68. [Aug. 2022] Here is a rebot developed by Grace Palenapa, an NSF REU participant working with Dr. Sun.
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  69. [Aug. 2022] Our paper "Sampling of the Wiener Process for Remote Estimation over a Channel with Unknown Delay Statistics" has been submitted to the IEEE/ACM Transactions on Networking.

  70. [Aug. 2022] A team of three students, including Thomas Orrison (a Ph.D. student), Kevin Yan (a 10-th grade high school student), and Grace Palenapa (an NSF REU participant) have been working to develop an AI robot.

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  71. [July. 2022] Our paper "Optimal Sampling for Data Freshness: Unreliable Transmissions with Random Two-way Delay" has been accepted by the IEEE/ACM Transactions on Networking.

  72. [July. 2022] Our paper "Sampling of the Wiener Process for Remote Estimation over a Channel with Unknown Delay Statistics" has been accepted by the ACM MobiHoc 2022 Conference.

  73. [July. 2022] Our paper "How Does Data Freshness Affect Real-time Supervised Learning?" has been accepted by the ACM MobiHoc 2022 Conference.

    Paper Summary: We first study how data freshness affects the performance of real-time supervised learning. Theoretical and experimental studies show that the inference error of real-time supervised learning is a function of the Age of Information (AoI), where the function could be monotonic (as in the video prediction experiment below) or non-monotonic (as in the other four experiments). Then, we developed a communication system to improve learning performance. A new "selection-from-buffer" MAC-layer model is designed for timely data updating, which is more general than the "generate-at-will" model used in earlier studies. Insightful low-complexity scheduling algorithms are developed to minimize general AoI functions and the inference error. These results lay out a potential path toward contextual and goal-oriented status updating.
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  74. [May 2022] The 2022 Age of Information Workshop will be held on May 2, 2022. The general chairs are Deniz Gunduz and D. Richard Brown III. The TPC chairs are Sanjit K. Kaul and Bo Ji. The Publicity and Web Chair is Elif Tugce Ceran.

  75. [Apr. 2022] Prof. Sun served as a judge of the Alabama Science and Engineering Fair for the Junior (grades 6 - 8) Division on April 6, 2022.

  76. [Mar. 2022] Our paper "Optimal Sampling for Data Freshness: Unreliable Transmissions with Random Two-way Delay" has been submitted to the IEEE/ACM Transactions on Networking (TON).

  77. [Mar. 2022] Our paper "How Does Data Freshness Affect Real-time Supervised Learning?" has been submitted to the ACM MobiHoc.

  78. [Mar. 2022] Our paper "Timely Updates with Priorities: Lexicographic Age Optimality" has been accepted by the IEEE Transactions on Communications (TCOM).

  79. [Mar. 2022] Md Kamran Chowdhury Shisher and Justin Tran (an NSF REU participant) presented two posters "How Does Data Freshness Affect Real-time Supervised Learning?" and "Optimal Pilot Scheduling for Throughput Maximization over Wireless Channels: A Battle with Non-Monotonic Information Aging" at the Auburn University Research Symposium and the College of Engineering Research Showcase at the U.S. Space and Rocket Center, Huntsville, AL.

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  80. [Feb. 2022] Our paper "A Local Geometric Interpretation of Feature Extraction in Deep Feedforward Neural Networks" has been submitted to IEEE ISIT 2022 Conference. [Technical Report]

  81. [Jan. 2022] Our paper "Optimizing Sampling for Data Freshness: Unreliable Transmissions with Random Two-way Delay" has been accepted by the IEEE INFOCOM 2022 Conference.

  82. [Jan. 2022] Thomas Orrison is a new Ph.D. student who is joining the group in Jan 2022.

  83. [Dec. 2021] Prof. Sun will serve as a TPC member for ACM MobiHoc 2022 and a TPC member for the Age of Information Workshop 2022.

  84. [Oct. 2021] Prof. Sun will serve as a TPC member of the IEEE ICC Workshop on Short Packet Communications for 6G Mission-Critical Applications.

  85. [Sept. 2021] Lecture materials of Prof. Sun's Information Freshness course in Spring 2021 are available HERE.

  86. [Aug. 2021] Our paper "Age-optimal Scheduling over Hybrid Channels" has been submitted to the IEEE Transactions on Mobile Computing.

  87. [Aug. 2021] Our paper "Timely Updates with Priorities: Lexicographic Age Optimality" has been submitted to the IEEE Transactions on Communications.

  88. [July 2021] Our paper "Performance Bounds for Sampling and Remote Estimation of Gauss-Markov Processes over a Noisy Channel with Random Delay" has been accepted by the IEEE SPAWC 2021.

  89. [May 2021] Five undergraduate students Grace Palenapa, Vibhu Singh, Justin Tran, Eli Dvoskin, and Christobel Nweke are working with Dr. Sun on several Machine Learning based undergraduate research projects.

  90. [April 2021] Our project entitled "Towards Breaking the Gridlock: Delay, Convergence, and Complexity in Highly Dynamic Tactical Networks" is funded by the Army Research Office.

  91. [April 2021] Our paper "Sampling for Data Freshness Optimization: Non-linear Age Functions" received the 2021 Journal of Communications and Networks (JCN) Best Paper Award. Auburn news link 1 and link 2.

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  92. [April. 2021] Our paper "Age of Information: An Introduction and Survey" has been accepted by the IEEE Journal on Selected Areas in Communications.

  93. [Mar. 2021] I will serve as the Submission and Publication Co-Chair of ACM MobiHoc 2022.

  94. [Mar. 2021] Two book chapters will be published in the book Age of Information: Foundations and Applications.

  95. [Mar. 2021] Our paper "Low-Power Status Updates via Sleep-Wake Scheduling" has been submitted to IEEE/ACM Transactions on Networking.

  96. [Feb. 2021] Our paper "Optimal Sampling and Scheduling for Timely Status Updates in Multi-source Networks" has been accepted by IEEE Transactions on Information Theory.

  97. [Jan. 2021] Our paper "The Age of Correlated Features in Supervised Learning based Forecasting" has been accepted by IEEE INFOCOM Age of Information Workshop 2021.

  98. [Jan. 2021] Call for Workshop Papers for the 4th Age of Information Workshop in conjunction with IEEE INFOCOM 2021. The general co-chairs are Roy D. Yates and Elif Uysal. The TPC co-chairs are Nikolaos Pappas, Wei Chen, and Jing Yang. The submission deadline is January 7, 2021.

  99. [Dec. 2020] Our paper "Minimizing Age of Information via Scheduling over Heterogeneous Channels" has been submitted to ACM MobiHoc 2021.

  100. [Nov. 2020] Prof. Yin Sun was elevated to a senior member of the IEEE.

  101. [Oct. 2020] Our paper "Multi-Armed Bandits with Dependent Arms" has been submitted.

  102. [Oct. 2020] Our paper "Optimizing Information Freshness using Low-Power Status Updates via Sleep-Wake Scheduling" is selected as the Runner-up for the Best Paper Award of ACM MobiHoc 2020.

  103. [Oct. 2020] I will serve as the Publicity Co-Chair of ACM MobiHoc 2021.

  104. [Aug. 2020] Two undergraduate students Ivan Ramos and Grace Palenapa joined the Real-Time Networking Lab. Welcome!

  105. [July 2020] Call for Workshop Papers for the IEEE Globecom 2020 Workshop 7: Information Freshness, Communications, Control, and Computing for Industrial IoT.

  106. [July 2020] Call for Papers for the IEEE Internet of Things Journal Special Issue on "Age of Information and Data Semantics for Sensing, Communication and Control Co-Design in IoT." The submission deadline has been postponed to July 31, 2020.

  107. [July 2020] Our paper "Age of Information: An Introduction and Survey" has been submitted.

  108. [July 2020] Our paper "Scheduling and Power Allocation Dampens the Effect of Channel Misreporting in Massive MIMO" has been accepted by IEEE/ACM Transactions on Networking.

  109. [July 2020] The 3rd Age of Information Workshop (AoI Workshop) was held on July 6, 2020 in Toronto, in conjunction with IEEE INFOCOM Conference 2020. The general co-chairs are Ness B. Shroff and Zhisheng Niu. The TPC co-chairs are Sennur Ulukus and Sheng Zhou.

  110. [July 2020] Call for Papers for the IEEE Journal on Selected Areas in Communications special issue on "Age of Information in Real-time Systems and Networks".

  111. [June 2020] Our paper "Sampling and Remote Estimation for the Ornstein-Uhlenbeck Process through Queues: Age of Information and Beyond" has been submitted to IEEE/ACM Transactions on Networking.

  112. [June 2020] I will serve as the Web Co-Chair of IEEE INFOCOM 2021.

  113. [May 2020] I will teach a new course "ELEC 7970 - Special Topics: Reinforcement Learning" in fall 2020.

  114. [May 2020] I received the Auburn Author Award of 2020. [News]

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  115. [May 2020] One Ph.D. student Yunita Fnu will join the Real-Time Networking Lab in fall 2020. Welcome!

  116. [April 2020] Our paper "Optimizing Information Freshness using Low-Power Status Updates via Sleep-Wake Scheduling" has been accepted by ACM MobiHoc 2020.

  117. [April 2020] I received an REU supplement from NSF.

  118. [March 2020] Our paper "On the Trackability of Stochastic Processes Based on Causal Information" has been accepted by IEEE ISIT 2020.

  119. [March 2020] Our paper "Status Updates with Priorities: Lexicographic Optimality" has been accepted by IEEE/IFIP WiOpt 2020.

  120. [March 2020] One Ph.D. student Irtiza Hasan will join the Real-Time Networking Lab in fall 2020. Welcome!

  121. [Mar. 2020] I will serve as an editor of the Journal of Communications and Networks (JCN).

  122. [Mar. 2020] Invited talk "Sampling for Keeping Information Fresh" at CISS 2020.

  123. [Feb. 2020] Our paper "On the Trackability of Stochastic Processes Based on Causal Information" has been submitted.

  124. [Feb. 2020] Invited talk "Status Updates with Priorities: Lexicographic Optimality" at ITA 2020.

  125. [Feb. 2020] Our paper "Optimal Sampling and Scheduling for Timely Status Updates in Multi-source Networks" has been submitted to IEEE Transactions on Information Theory.

  126. [Jan. 2020] Our paper "Status Updates with Priorities: Lexicographic Optimality" has been submitted to IEEE/IFIP WiOpt 2020.

  127. [Dec. 2020] Our paper "Optimizing Information Freshness using Low-Power Status Updates via Sleep-Wake Scheduling" has been submitted to ACM MobiHoc 2020.

  128. [Dec. 2019] Our paper "Balance Queueing and Retransmission: Latency-Optimal Massive MIMO Design" has been accepted by IEEE Transactions on Wireless Communications.

  129. [Dec. 2019] Our new book Age of Information: A New Metric for Information Freshness is published! Anburn news link 1 and link 2.

  130. [Dec. 2019] I will serve as a guest editor of the IEEE Journal on Selected Areas in Communications for the special issue on "Age of Information in Real-time Systems and Networks".

  131. [Nov. 2019] I will serve on the TPC of the 3rd Age of Information Workshop.

  132. [Nov. 2019] I will serve as a TPC Track Co-Chair of IEEE WCNC 2021.

  133. [Oct. 2019] I will serve as the TPC Vice-Chair for Submissions of IEEE/IFIP WiOpt 2020.

  134. [Oct. 2019] I will serve on the TPC of ACM MobiHoc 2020.

  135. [Aug. 2019] Our paper "Sampling of the Wiener Process for Remote Estimation over a Channel with Random Delay" has been accepted by IEEE Transactions on Information Theory.

  136. [June 2019] I will serve on the TPC of IEEE WCNC 2020.

  137. [June 2019] Our work received the Best Paper Award of IEEE/IFIP WiOpt 2019. This is Tasmeen's first paper. Congratulations, Tasmeen!

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  138. [May 2019] Invited talk "From the Age of Information to Sampling Theory" at the 7th ACM MobiHoc Workshop on the Frontiers of Networks: Theory and Algorithms.

  139. [May 2019] Tutorial lecture "Age of Information: Providing Fresh Data to Real-time Applications" at IEEE PIMRC 2019.

  140. [May 2019] Our paper "The Age of Information in Multihop Networks" has been accepted by IEEE/ACM Transactions on Networking.

  141. [May 2019] Our paper "Optimal Status Updating with a Finite-Battery Energy Harvesting Source" has been accepted by JCN Special Issue on the Age of Information.

  142. [Apr. 2019] Opening talk of the 2nd Age of Information Workshop (AoI Workshop) is available here.

  143. [Apr. 2019] The program of the 2nd Age of Information Workshop (AoI Workshop) is available here.

  144. [Apr. 2019] I will present a poster "From the Age of Information to Sampling Theory" in the 2nd Age of Information Workshop (AoI Workshop).

  145. [Apr. 2019] Our paper "Sampling for Data Freshness Optimization: Non-linear Age Functions" has been accepted by JCN Special Issue on the Age of Information.

  146. [Apr. 2019] Invited talk "Fresh Samples through Queues: Age of Information and Remote Estimation" at Purdue University.

  147. [Apr. 2019] I will serve as the Web Co-Chair of IEEE INFOCOM 2020.

  148. [Apr. 2019] Our paper "Minimizing the Age of Information through Queues" has been accepted by IEEE Transactions on Information Theory.

  149. [Mar. 2019] Our paper "Age-optimal Sampling and Transmission Scheduling in Multi-source Systems" has been accepted by ACM MobiHoc 2019.

  150. [Mar. 2019] Our paper "Sampling for Remote Estimation through Queues: Age of Information and Beyond" has been accepted by IEEE/IFIP WiOpt 2019.

  151. [Mar. 2019] Invited talk "Fresh Samples through Queues: Age of Information and Remote Estimation" at University of Michigan.

  152. [Mar. 2019] One ECE undergraduate student Winston Van joined the Real-Time Networking Lab in fall 2018.

  153. [Feb. 2019] Our paper "Balance Queueing and Retransmission: Latency-Optimal Massive MIMO Design" has been submitted to IEEE Transactions on Wireless Communications.

  154. [Feb. 2019] Invited talk "Fresh Samples through Queues: Age of Information and Remote Estimation" at University of Maryland.

  155. [Feb. 2019] Invited talk "Age of Information: Optimizing the Freshness of Real-Time Data" at Qualcomm.

  156. [Feb. 2019] Invited talk "Fresh Samples through Queues: Age of Information and Remote Estimation" at ITA 2019.

  157. [Jan. 2019] Our paper "Sampling for Remote Estimation through Queues: Age of Information and Beyond" has been submitted to WiOpt 2019.

  158. [Dec. 2018] Our paper "Age-optimal Sampling and Transmission Scheduling in Multi-source Systems" has been submitted to ACM MobiHoc 2019.

  159. [Dec. 2018] Our paper "Sampling for Data Freshness Optimization: Non-linear Age Functions" has been submitted to JCN special issue on Age of Information.

  160. [Oct. 2018] I will work with Tony Ephremides to organize the 2nd Age of Information Workshop (AoI Workshop). The workshop will be held in Paris, France, in conjunction with IEEE INFOCOM Conference 2019.

  161. [Oct. 2018] I will serve on the TPC of RAWNET Workshop 2019.

  162. [Oct. 2018] One CSSE undergraduate student Anni Zhang joined the Real-Time Networking Lab.

  163. [Sep. 2018] I will serve as the Web Chair of ACM MobiHoc 2019.

  164. [Aug. 2018] One paper has been accepted by ACM mmNets 2018.

  165. [Aug. 2018] I will serve on the TPC of ACM MobiHoc 2019 and IEEE INFOCOM 2019.

  166. [Jun 2018] I received an award from NSF. I really appreciate NSF's support!

  167. [May 2018] Two Ph.D. students Tasmeen Zaman Ornee and Kamran Chowdhury Shisher will join the Real-Time Networking Lab in fall 2018. Welcome!

  168. [May 2018] One ECE undergraduate student Kun Wang joined the Real-Time Networking Lab.

  169. [May 2018] Please check Benjamin Cyr's undergraduate research project on real-time robotic control. Ben will join University of Michigan in fall 2018. Congratulations to Ben!

  170. [Mar. 2018] One paper has been accepted by IEEE SPAWC Conference 2018 -- Special Session on the Age of Information.

  171. [Feb. 2018] Two papers have been accepted by IEEE INFOCOM Workshop 2018 -- the 1st Workshop on the Age of Information.

  172. [Jan. 2018] One paper has been accepted by IEEE ISIT 2018.

  173. [Jan. 2018] One paper has been accepted by IEEE ICASSP 2018.

  174. [Jan. 2018] One CSSE undergraduate student Collin Pike joined the Real-Time Networking Lab.

  175. [Jan. 2018] One ECE undergraduate student Promise B. Owei joined the Real-Time Networking Lab.

  176. [Dec. 2017] I will organize a series of Wireless Seminars at Auburn University in spring 2018.

  177. [Dec. 2017] One paper has been submitted to IEEE Transactions on Information Theory.

  178. [Dec. 2017] One ECE M.S. student Shane Williams joined the Real-Time Networking Lab.

  179. [Nov. 2017] Two papers have been accepted by IEEE INFOCOM 2018.

  180. [Oct. 2017] One paper has been submitted to IEEE Transactions on Signal Processing.

  181. [Oct. 2017] I will work with Tony Ephremides at the University of Maryland to organize the 1st Workshop on the Age of Information (AoI Workshop). The workshop will be held in Honolulu, HI, USA on April 16, 2018 in conjunction with the IEEE INFOCOM Conference 2018.

  182. [Sept. 2017] One paper has been submitted to IEEE Transactions on Information Theory.

  183. [Sept. 2017] I will invited to serve on the TPC of ACM MobiHoc 2018.

  184. [Sept. 2017] One paper has been accepted by ACM Sigmetrics 2018 and will be immediately published in a new journal: Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS).

  185. [Sept. 2017] One Math Ph.D. student Serge N. Guerngar joined the Real-Time Networking Lab. We have a cross-disciplinary research team now.

  186. [Sept. 2017] One ECE M.S. student Shaoyi Li joined the Real-Time Networking Lab.

  187. [Sept. 2017] Four ECE and CSSE undergraduate students joined the Real-Time Networking Lab.

  188. [Aug. 2017] One paper has been accepted by IEEE Transactions on Information Theory.