Stratis Ioannidis
Associate Professor, Electrical and Computer Engineering
Office
- 414 ISEC
- 617.373.6358
Related Links
Research Focus
Distributed systems, networking, machine learning, big data, and privacy
Education
- PhD (2009), University of Toronto, Department of Computer Science
- MS (2004), University of Toronto, Department of Computer Science
Honors & Awards
- 2021 College of Engineering Faculty Fellow
- Fellowship, Greek Diaspora Fellowship Program
- National Science Foundation CAREER Award
Research Overview
Distributed systems, networking, machine learning, big data, and privacy
Selected Research Projects
- NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE)
- Co-Principal Investigator, National Science Foundation
- CNS Core: Medium: Data-Centric Networks for Distributed Learning
- – Principal Investigator, National Science Foundation
- CAREER: Leveraging Sparsity in Massively Distributed Optimization
- – Principal Investigator, National Science Foundation
- Design and Computation of Scalable Graph Distances in Metric Spaces: A Unified Multiscale Interpretable Perspective
- – Principal Investigator, National Science Foundation
- Efficient and Adaptive Real-Time Learning for Next Generation Wireless Systems
- – Principal Investigator, National Science Foundation
- Massively Scalable Secure Computation Infrastructure Using FPGAs
- – Principal Investigator, National Science Foundation
Research Centers and Institutes
Department Research Areas
Selected Publications
- Liu, Yuezhou, Li, Yuanyuan, Ma, Qian, Ioannidis, Stratis, Yeh, Edmund (2021). Fair Caching Networks. ACM SIGMETRICS Performance Evaluation Review, 48(3),89-90. 10.1145/3453953.3453973
- Gast, Nicolas, Ioannidis, Stratis, Loiseau, Patrick, Roussillon, Benjamin (2020). Linear Regression from Strategic Data Sources. ACM Transactions on Economics and Computation, 8(2),1-24. 10.1145/3391436
- Jian, Tong, Rendon, Bruno Costa, Ojuba, Emmanuel, Soltani, Nasim, Wang, Zifeng, Sankhe, Kunal, Gritsenko, Andrey, Dy, Jennifer, Chowdhury, Kaushik, Ioannidis, Stratis (2020). Deep Learning for RF Fingerprinting: A Massive Experimental Study. IEEE Internet of Things Magazine, 3(1),50-57. 10.1109/IOTM.0001.1900065
- Soltani, Nasim, Reus-Muns, Guillem, Dy, Jennifer, Ioannidis, Stratis, Chowdhury, Kaushik, Salehi, Batool (2020). RF Fingerprinting Unmanned Aerial Vehicles with Non-standard Transmitter Waveforms. IEEE Transactions on Vehicular Technology, 69(12),15518-15531. 10.1109/TVT.2020.3042128
- I. Yıldız, J. Dy, D. Erdoğmuş, J. Kalpathy-Cramer, S. Ostmo, J.P. Campbell, M.F. Chiang, S. Ioannidis, Fast and Accurate Ranking Regression, AISTATS, 2020
- Y. Li, S. Ioannidis, Universally Stable Cache Networks, INFOCOM, 2020
- Y. Guo, J. Dy, D. Erdoğmuş, J. Kalpathy-Cramer, S. Ostmo, J.P. Campbell, M.F. Chiang, S. Ioannidis Accelerated Experimental Design for Pairwise Comparisons, SDM, 2019
- P. Tian, Y. Guo, J. Brown, J. Kalpathy-Cramer, S. Ostmo, J.P. Campbell, M.F. Chiang, J. Dy, D. Erdoğmuş, S. Ioannidis, A Severity Score for Retinopathy of Prematurity, KDD, 2019
- I. Yıldız, P. Tian, J. Dy, D. Erdoğmuş, J. Brown, J. Kalpathy Cramer, S. Ostmo, J. P. Campbell, M. F. Chiang, S. Ioannidis, Classification and Comparison via Neural Networks, Elsevier Journal of Neural Networks, 2019
- M. Mahdian, A. Moharrer, S. Ioannidis, E. Yeh Kelly Cache Networks, INFOCOM, 2019
Feb 25, 2022
Handling Both Routing and Caching Effectively
ECE Associate Professor Stratis Ioannidis and Professor Edmund Yeh were awarded a patent for “Joint routing and caching method for content delivery with optimality guarantees for arbitrary networks.”
Jul 29, 2021
Northeastern Part of New NSF Artificial Intelligence Research Institute
Northeastern is part of a team led by the Ohio State University that was awarded $20 million over five years for the NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE). Professor Kaushik Chowdhury, electrical and computer engineering (ECE), is the Northeastern lead, with co-PIs ECE Professor Tommaso Melodia and ECE Associate Professor Stratis Ioannidis responsible for $1.8 million of the award.
Jul 13, 2021
Pioneering a Data-Centric Approach to Distributed Machine Learning
ECE Associate Professor Stratis Ioannidis and ECE Professor Edmund Yeh, in collaboration with ECE Professor Carlee Joe-Wong from Carnegie Mellon University, have been awarded a $1M grant from the NSF to pioneer a data-centric approach to distributed machine learning.
Sep 10, 2020
Faculty and Staff Awards 2020
Congratulations to all the winners of the faculty and staff awards, and to everyone for their hard work and dedication during the 2019-2020 academic school year.
Jul 28, 2020
ECE Team Wins Facebook Research Award
ECE Associate Professor Stratis Ioannidis is leading a team with Professors Jennifer Dy and Deniz Erdoğmuş, that won a highly competitive Facebook Research Award with their project “Learning from Comparisons”.
Jul 10, 2020
Northeastern Leads Organization of ACM SIGMETRICS 2020
Northeastern University recently led the organization of ACM SIGMETRICS 2020, which is the flagship conference of the ACM in the area of performance analysis of computer systems, and the development of tools and innovative application of tools towards this end.
Jul 06, 2020
Ioannidis Selected to Work with The National Technical University of Athens
ECE Associate Professor Stratis Ioannidis was awarded a fellowship by the Greek Diaspora Fellowship Program (GDFP) to travel to Greece.
Mar 12, 2020
Cybersecurity: Your Secrets Are Safe With Us
Northeastern researchers are at the forefront of cybersecurity research, protecting everything from the phone in your pocket to the city of the future.
Nov 27, 2019
Ioannidis Gives Talk at Networking@Scale
ECE Assistant Professor Stratis Ioannidis gave a talk on “Adaptive Cache Networks with Optimality Guarantees” at Networking@Scale.
Nov 12, 2019
ECE Team Wins Best Paper Award at IEEE DySPAN 2019
ECE PostDoc Andrey Gritsenko, Computer Engineering PhDs Zifeng Wang, Tong Jian, Professor Jennifer Dy, Associate Professor Kaushik Chowdhury, and Assistant Professor Stratis Ioannidis received the best paper award at the IEEE DySPAN 2019 conference for their paper on “Finding a ‘New’ Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning”.