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Dimitrios Lymberopoulos

Dimitrios Lymberopoulos

D-Index & Metrics

Computer Science

D-Index
35
Citations
6911
World Ranking
11533
National Ranking
4738

Overview

Dimitrios Lymberopoulos is affiliated with Microsoft (United States) and has conducted research primarily within the field of Computer Science. Their work spans various subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Biomedical Engineering, and Information Systems.

The researcher has contributed to multiple topics related to advanced neural network applications, IoT and edge/fog computing, wireless body area networks, adversarial robustness in machine learning, domain adaptation and few-shot learning, user authentication and security systems, and AI-based COVID-19 diagnosis.

Notable recent publications by Dimitrios Lymberopoulos include:

  • "A Survey on Security Threats and Countermeasures in Internet of Medical Things (IoMT)" (2020), published in Transactions on Emerging Telecommunications Technologies
  • "Single-Path NAS: Designing Hardware-Efficient ConvNets in Less Than 4 Hours" (2020), published in Lecture notes in computer science
  • "SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection" (2022), published in 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization" (2020), published in IEEE Journal of Selected Topics in Signal Processing
  • "Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination" (2020), published on arXiv (Cornell University)

Dimitrios Lymberopoulos frequently collaborates with other researchers, with notable coauthors including Dimitrios Stamoulis, Fuxun Yu, Marina Karageorgou, Γεώργιος Μαντάς, and Ismael Essop.

Their research has appeared in venues such as arXiv (Cornell University), Transactions on Emerging Telecommunications Technologies, Lecture notes in computer science, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), and IEEE Journal of Selected Topics in Signal Processing.

Best Publications

  • Diversity in smartphone usage

    Hossein Falaki;Ratul Mahajan;Srikanth Kandula;Dimitrios Lymberopoulos

  • A first look at traffic on smartphones

    Hossein Falaki;Dimitrios Lymberopoulos;Ratul Mahajan;Srikanth Kandula

  • A realistic evaluation and comparison of indoor location technologies: experiences and lessons learned

    Dimitrios Lymberopoulos;Jie Liu;Xue Yang;Romit Roy Choudhury

  • FM-based indoor localization

    Yin Chen;Dimitrios Lymberopoulos;Jie Liu;Bodhi Priyantha

  • Energy-accuracy trade-off for continuous mobile device location

    Kaisen Lin;Aman Kansal;Dimitrios Lymberopoulos;Feng Zhao

  • An empirical characterization of radio signal strength variability in 3-d IEEE 802.15.4 networks using monopole antennas

    Dimitrios Lymberopoulos;Quentin Lindsey;Andreas Savvides

  • Progressive authentication: deciding when to authenticate on mobile phones

    Oriana Riva;Chuan Qin;Karin Strauss;Dimitrios Lymberopoulos

  • Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

    Dimitrios Stamoulis;Ruizhou Ding;Di Wang;Dimitrios Lymberopoulos

  • Extracting spatiotemporal human activity patterns in assisted living using a home sensor network

    Dimitrios Lymberopoulos;Athanasios Bamis;Andreas Savvides

  • XYZ: a motion-enabled, power aware sensor node platform for distributed sensor network applications

    Dimitrios Lymberopoulos;Andreas Savvides

  • LittleRock: Enabling Energy-Efficient Continuous Sensing on Mobile Phones

    B Priyantha;D Lymberopoulos;Jie Liu

  • The Microsoft Indoor Localization Competition: Experiences and Lessons Learned

    Dimitrios Lymberopoulos;Jie Liu

  • Pocket cloudlets

    Emmanouil Koukoumidis;Dimitrios Lymberopoulos;Karin Strauss;Jie Liu

  • Location Sensing Selection for Mobile Devices

    Aman Kansal;Dimitrios Lymberopoulos;Feng Zhao;Kaisen Lin

  • Indoor Localization Using FM Signals

    Yin Chen;D. Lymberopoulos;Jie Liu;B. Priyantha

  • Energy-optimal software partitioning in heterogeneous multiprocessor embedded systems

    Michel Goraczko;Jie Liu;Dimitrios Lymberopoulos;Slobodan Matic

  • Sensor Localization and Camera Calibration in Distributed Camera Sensor Networks

    Andrew Barton-Sweeney;Dimitrios Lymberopoulos;Andreas Savvides

  • User-authentication gestures

    Dimitrios Lymberopoulos;Jie Liu;He Wang

  • mPlatform: a reconfigurable architecture and efficient data sharing mechanism for modular sensor nodes

    Dimitrios Lymberopoulos;Nissanka B. Priyantha;Feng Zhao

  • PocketWeb: instant web browsing for mobile devices

    Dimitrios Lymberopoulos;Oriana Riva;Karin Strauss;Akshay Mittal

  • Microsoft Indoor Localization Competition: Experiences and Lessons Learned

    Dimitrios Lymberopoulos;Jie Liu;Xue Yang;Romit Roy Choudhury

Frequent Co-Authors

Jie Liu
Jie Liu Harbin Institute of Technology
Feng Zhao
Feng Zhao Microsoft (United States)
Suman Nath
Suman Nath Microsoft (United States)
Karin Strauss
Karin Strauss Microsoft (United States)
Aman Kansal
Aman Kansal Microsoft (United States)
Yiannis Aloimonos
Yiannis Aloimonos University of Maryland, College Park
Eugenio Culurciello
Eugenio Culurciello Purdue University West Lafayette
Doug Burger
Doug Burger Microsoft (United States)
Romit Roy Choudhury
Romit Roy Choudhury University of Illinois at Urbana-Champaign
Deborah Estrin
Deborah Estrin Cornell University

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