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:
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.
Hossein Falaki;Ratul Mahajan;Srikanth Kandula;Dimitrios Lymberopoulos
Hossein Falaki;Dimitrios Lymberopoulos;Ratul Mahajan;Srikanth Kandula
Dimitrios Lymberopoulos;Jie Liu;Xue Yang;Romit Roy Choudhury
Yin Chen;Dimitrios Lymberopoulos;Jie Liu;Bodhi Priyantha
Kaisen Lin;Aman Kansal;Dimitrios Lymberopoulos;Feng Zhao
Dimitrios Lymberopoulos;Quentin Lindsey;Andreas Savvides
Oriana Riva;Chuan Qin;Karin Strauss;Dimitrios Lymberopoulos
Dimitrios Stamoulis;Ruizhou Ding;Di Wang;Dimitrios Lymberopoulos
Dimitrios Lymberopoulos;Athanasios Bamis;Andreas Savvides
Dimitrios Lymberopoulos;Andreas Savvides
B Priyantha;D Lymberopoulos;Jie Liu
Dimitrios Lymberopoulos;Jie Liu
Emmanouil Koukoumidis;Dimitrios Lymberopoulos;Karin Strauss;Jie Liu
Aman Kansal;Dimitrios Lymberopoulos;Feng Zhao;Kaisen Lin
Yin Chen;D. Lymberopoulos;Jie Liu;B. Priyantha
Michel Goraczko;Jie Liu;Dimitrios Lymberopoulos;Slobodan Matic
Andrew Barton-Sweeney;Dimitrios Lymberopoulos;Andreas Savvides
Dimitrios Lymberopoulos;Jie Liu;He Wang
Dimitrios Lymberopoulos;Nissanka B. Priyantha;Feng Zhao
Dimitrios Lymberopoulos;Oriana Riva;Karin Strauss;Akshay Mittal
Dimitrios Lymberopoulos;Jie Liu;Xue Yang;Romit Roy Choudhury
If you think any of the details on this page are incorrect, let us know.
Exploring a degree in Computer Science opens doors to a variety of rewarding career options, especially with the flexibility of online learning. Many students are interested in what other fields might guarantee strong job prospects. If you’re seeking inspiration, check out the top 10 best majors for the future to discover areas that are in high demand and offer long-term stability.
For those aiming to further their education quickly or with fewer barriers, several routes exist. Consider some of the easiest masters programs to get into, which allow you to advance credentials without an arduous admissions process.
Doctoral studies are becoming more accessible as well, with a range of affordable phd programs available online. If your goal is educational leadership, you can also target easiest edd programs to fast-track your way toward a terminal degree.
By exploring these options, you can tailor your academic path to fit your goals, timeframe, and budget—ensuring a solid foundation for a successful tech-focused career.
Helmholtz-Zentrum Hereon
Friedrich-Loeffler-Institut
University of Valencia
Beijing Jiaotong University
Brown University
Hohai University
University of Montpellier
Max Planck Society
University of Ulm
Lawrence Berkeley National Laboratory
Northwestern Polytechnical University
Eindhoven University of Technology
University of California, Davis
Fudan University
University of Melbourne
Hong Kong Polytechnic University