Best Paper Awards Archive
2021 Winners
S. Furnell, J. Haney and M. Theofanos, “Pandemic Parallels: What Can Cybersecurity Learn From COVID-19?” Computer, vol. 54, no. 03, pp. 68-72, March 2021
P. Gu, J. Han, D. Chen and C. Wang, “Reconstructing Unsteady Flow Data From Representative Streamlines via Diffusion and Deep-Learning-Based Denoising” IEEE Computer Graphics and Applications, vol. 41, no. 06, pp. 111-121, November – December 2021
B. Granger and F. Perez, “Jupyter: Thinking and Storytelling With Code and Data” Computing in Science & Engineering, vol. 23, no. 02, pp. 7-14, March – April 2021
K. Cheng, et al.,”SecureBoost: A Lossless Federated Learning Framework” IEEE Intelligent Systems, vol. 36, no. 06, pp. 87-98, November – December 2021
M. Gaur, K. Faldu and A. Sheth, “Semantics of the Black-Box: Can Knowledge Graphs Help Make Deep Learning Systems More Interpretable and Explainable?” IEEE Internet Computing, vol. 25, no. 01, pp. 51-59, January – February 2021
T. Norrie, et al., “The Design Process for Google’s Training Chips: TPUv2 and TPUv3” IEEE Micro, vol. 41, no. 02, pp. 56-63, March – April 2021
Y. Wu, et al., “Modeling Incongruity between Modalities for Multimodal Sarcasm Detection” IEEE MultiMedia, vol. 28, no. 02, pp. 86-95, April – June 2021
O. Bates, C. Lord, H. Alter, A. Friday and B. Kirman, “Lessons From One Future of Work: Opportunities to Flip the Gig Economy” IEEE Pervasive Computing, vol. 20, no. 04, pp. 26-34, October – December 2021
W. Ahmad and D. Clark, “A Systems Approach Toward Addressing Anonymous Abuses: Technical and Policy Considerations“ IEEE Security & Privacy, vol. 19, no. 02, pp. 38-47, March – April 2021
J. Bader, S. Seohyun Kim, F. Sifei Luan, S. Chandra and E. Meijer, “AI in Software Engineering at Facebook” IEEE Software, vol. 38, no. 04, pp. 52-61, July – August 2021
Q. Tran, et al., “A Survey on Privacy-Preserving Blockchain Systems (PPBS) and a Novel PPBS-Based Framework for Smart Agriculture” IEEE Open Journal of the Computer Society, vol. 2, no. 01, pp. 72-84, 2021
G. Yannakakis, R. Cowie and C. Busso, “The Ordinal Nature of Emotions: An Emerging Approach” IEEE Transactions on Affective Computing, vol. 12, no. 01, pp. 16-35, January – March 2021
J. Johnson, M. Douze and H. Jégou, “Billion-Scale Similarity Search with GPUs” IEEE Transactions on Big Data, vol. 7, no. 03, pp. 535-547, July 2021
S. Liang, et al.,”EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks” IEEE Transactions on Computers, vol. 70, no. 09, pp. 1511-1525, September 2021
S. Das and S. Sahni, “Two-Aggregator Topology Optimization Using Single Paths in Data Center Networks” IEEE Transactions on Cloud Computing, vol. 9, no. 02, pp. 807-820, April – June 2021
F. Zhang, et al., “An Efficient Parallel Secure Machine Learning Framework on GPUs” IEEE Transactions on Parallel & Distributed Systems, vol. 32, no. 09, pp. 2262-2276, September 2021
X. Wang, L. Yang, X. Chen, M. Deen and J. Jin, “Improved Multi-Order Distributed HOSVD with Its Incremental Computing for Smart City Services” IEEE Transactions on Sustainable Computing, vol. 6, no. 03, pp. 456-468, July – September 2021
V. Manes, et al., “The Art, Science, and Engineering of Fuzzing: A Survey” in IEEE Transactions on Software Engineering, vol. 47, no. 11, pp. 2312-2331, November 2021
Z. Yang, et al.,”CDPath: Cooperative Driver Pathways Discovery Using Integer Linear Programming and Markov Clustering” in IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 18, no. 04, pp. 1384-1395, July – August 2021
2021 Runners-Up
A. Holzinger and H. Muller, “Toward Human–AI Interfaces to Support Explainability and Causability in Medical AI” Computer, vol. 54, no. 10, pp. 78-86, October 2021
M. Karyda, D. Wilde and M. Kjarsgaard, “Narrative Physicalization: Supporting Interactive Engagement With Personal Data” IEEE Computer Graphics and Applications, vol. 41, no. 01, pp. 74-86, January – February 2021
B. Haworth, et al., “Gamification of Crowd-Driven Environment Design” IEEE Computer Graphics and Applications, vol. 41, no. 04, pp. 107-117, July – August 2021
S. Pennycook, J. Sewall, D. Jacobsen, T. Deakin and S. McIntosh-Smith, “Navigating Performance, Portability, and Productivity” Computing in Science & Engineering, vol. 23, no. 05, pp. 28-38, September – October 2021
V. Moscato, A. Picariello and G. Sperli, “An Emotional Recommender System for Music” IEEE Intelligent Systems, vol. 36, no. 05, pp. 57-68, September – October 2021
D. Giri, K. Chiu, G. Eichler, P. Mantovani and L. Carloni, “Accelerator Integration for Open-Source SoC Design” IEEE Micro, vol. 41, no. 04, pp. 8-14, July – August 2021
R. de Abreu, D. Mattos, J. Santos, G. Ghinea and D. Muchaluat-Saade, “Toward Content-Driven Intelligent Authoring of Mulsemedia Applications” IEEE MultiMedia, vol. 28, no. 01, pp. 7-16, January – March 2021
V. Ang and L. Shar, “COVID-19 One Year on – Security and Privacy Review of Contact Tracing Mobile Apps” IEEE Pervasive Computing, vol. 20, no. 04, pp. 61-70, October – December 2021
S. Eismann, et al.,”Serverless Applications: Why, When, and How?” IEEE Software, vol. 38, no. 01, pp. 32-39, January – February 2021
L. Liu, S. Zhou, H. Huang and Z. Zheng, “From Technology to Society: An Overview of Blockchain-Based DAO” IEEE Open Journal of the Computer Society, vol. 2, no. 01, pp. 204-215, 2021
J. Gideon, M. McInnis and E. Provost, “Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)” IEEE Transactions on Affective Computing, vol. 12, no. 04, pp. 1055-1068, October – December 2021
J. Santos, T. Syed, M. Naldi, R. Campello and J. Sander, “Hierarchical Density-Based Clustering Using MapReduce” IEEE Transactions on Big Data, vol. 7, no. 01, pp. 102-114, March 2021
W. Wu, et al., “SAFA: A Semi-Asynchronous Protocol for Fast Federated Learning With Low Overhead” IEEE Transactions on Computers, vol. 70, no. 05, pp. 655-668, May 2021
Y. Zhang, C. Xu, X. Lin and X. Shen, “Blockchain-Based Public Integrity Verification for Cloud Storage against Procrastinating Auditors” IEEE Transactions on Cloud Computing, vol. 9, no. 03, pp. 923-937, July – September 2021
C. Wang, Y. Yang and P. Zhou, “Towards Efficient Scheduling of Federated Mobile Devices Under Computational and Statistical Heterogeneity“ IEEE Transactions on Parallel & Distributed Systems, vol. 32, no. 02, pp. 394-410, February 2021
S. Ram, S. Sahoo, B. Das, K. Mahapatra and S. Mohanty, “Eternal-Thing: A Secure Aging-Aware Solar-Energy Harvester Thing for Sustainable IoT” IEEE Transactions on Sustainable Computing, vol. 6, no. 02, pp. 320-333, April – June 2021
Z. Wan, X. Xia, D. Lo and G. Murphy, “How does Machine Learning Change Software Development Practices?” IEEE Transactions on Software Engineering, vol. 47, no. 09, pp. 1857-1871, September 2021
2020 Winners
L. Allodi, T. Chotza, E. Panina and N. Zannone, The Need for New Antiphishing Measures Against Spear-Phishing Attacks, IEEE Security & Privacy, vol. 18, no. 2, pp. 23-34, March/April 2020.
D. Offenhuber, What We Talk About When We Talk About Data Physicality, IEEE Computer Graphics and Applications, vol. 40, no. 6, pp. 25-37, Nov./Dec. 2020.
F. González-Arias, T. Reddy, J. E. Stone, J. A. Hadden-Perilla and J. R. Perilla, Scalable Analysis of Authentic Viral Envelopes on FRONTERA, Computing in Science & Engineering, vol. 22, no. 6, pp. 11-20, Nov./Dec. 2020.
I. Tomkos, D. Klonidis, E. Pikasis and S. Theodoridis, Toward the 6G Network Era: Opportunities and Challenges, IT Professional, vol. 22, no. 1, pp. 34-38, Jan./Feb. 2020.
X. Tang, E. Giacomin, B. Chauviere, A. Alacchi and P. Gaillardon, OpenFPGA: An Open-Source Framework for Agile Prototyping Customizable FPGAs, IEEE Micro, vol. 40, no. 4, pp. 41-48, July/Aug. 2020.
V. Vakkuri, K. Kemell, J. Kultanen and P. Abrahamsson, The Current State of Industrial Practice in Artificial Intelligence Ethics, IEEE Software, vol. 37, no. 4, pp. 50-57, July/Aug. 2020.
Z. Akata et al., A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence, Computer, vol. 53, no. 8, pp. 18-28, Aug. 2020.
Y. Li, B. Zou, S. Deng and G. Zhou, Using Feature Fusion Strategies in Continuous Authentication on Smartphones, IEEE Internet Computing, vol. 24, no. 2, pp. 49-56, March/April 2020.
J. E. Bardram and A. Matic, A Decade of Ubiquitous Computing Research in Mental Health, IEEE Pervasive Computing, vol. 19, no. 1, pp. 62-72, Jan.-March 2020.
I. Comşa et al., Do I Smell Coffee? The Tale of a 360° Mulsemedia Experience, IEEE MultiMedia, vol. 27, no. 1, pp. 27-36, Jan.-March 2020.
C. Kumar et al., Post-Silicon Microarchitecture, IEEE Computer Architecture Letters, vol. 19, no. 1, pp. 26-29, Jan.-June 2020.
T. Song, W. Zheng, P. Song and Z. Cui, EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks, IEEE Transactions on Affective Computing, vol. 11, no. 3, pp. 532-541, July-Sept. 2020.
R. Li, B. Wu, M. Ying, X. Sun and G. Yang, Quantum Supremacy Circuit Simulation on Sunway TaihuLight, IEEE Transactions on Parallel and Distributed Systems, vol. 31, no. 4, pp. 805-816, April 2020.
Z. Du, C. Wu, T. Yoshinaga, K. -L. A. Yau, Y. Ji and J. Li, Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues, IEEE Open Journal of the Computer Society, vol. 1, pp. 45-61, 2020.
M. Yasin, B. Mazumdar, O. Sinanoglu and J. Rajendran, Removal Attacks on Logic Locking and Camouflaging Techniques, IEEE Transactions on Emerging Topics in Computing, vol. 8, no. 2, pp. 517-532, April-June 2020.
W. Zhang et al., Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis, IEEE Transactions on Big Data, vol. 6, no. 2, pp. 322-333, June 2020.
Y. Zhan, S. Guo, P. Li and J. Zhang, A Deep Reinforcement Learning Based Offloading Game in Edge Computing, IEEE Transactions on Computers, vol. 69, no. 6, pp. 883-893, June 2020.
J. Ni, K. Zhang, Q. Xia, X. Lin and X. S. Shen, Enabling Strong Privacy Preservation and Accurate Task Allocation for Mobile Crowdsensing, IEEE Transactions on Mobile Computing, vol. 19, no. 6, pp. 1317-1331, June 2020.
Q. Xiao et al., Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 17, no. 2, pp. 623-634, March/April 2020.
S. Hajiamini, B. Shirazi, A. Crandall and H. Ghasemzadeh, A Dynamic Programming Framework for DVFS-Based Energy-Efficiency in Multicore Systems, IEEE Transactions on Sustainable Computing, vol. 5, no. 1, pp. 1-12, Jan.-March 2020.
2020 Runners-Up
K. Koumaditis, F. Chinello, P. Mitkidis and S. Karg, Effectiveness of Virtual Versus Physical Training: The Case of Assembly Tasks, Trainer’s Verbal Assistance, and Task Complexity, IEEE Computer Graphics and Applications, vol. 40, no. 5, pp. 41-56, Sept./Oct. 2020.
P. Bajpai and R. Enbody, Attacking Key Management in Ransomware, IT Professional, vol. 22, no. 2, pp. 21-27, March/April 2020.
F. S. Ali, M. Aloqaily, O. Alfandi and O. Ozkasap, Cyberphysical Blockchain-Enabled Peer-to-Peer Energy Trading, Computer, vol. 53, no. 9, pp. 56-65, Sept. 2020.
V. Pejović, M. Gjoreski, C. Anderson, K. David and M. Luštrek, Toward Cognitive Load Inference for Attention Management in Ubiquitous Systems, IEEE Pervasive Computing, vol. 19, no. 2, pp. 35-45, April-June 2020.
Y. Zhang, Y. Jin, J. Chen, S. Kan, Y. Cen and Q. Cao, PGAN: Part-Based Nondirect Coupling Embedded GAN for Person Reidentification, IEEE MultiMedia, vol. 27, no. 3, pp. 23-33, July-Sept. 2020.
S. Krishnan et al., The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines, IEEE Computer Architecture Letters, vol. 19, no. 1, pp. 38-42, Jan.-June 2020.
S. Taylor, N. Jaques, E. Nosakhare, A. Sano and R. Picard, Personalized Multitask Learning for Predicting Tomorrow’s Mood, Stress, and Health, IEEE Transactions on Affective Computing, vol. 11, no. 2, pp. 200-213, April-June 2020.
Q. Kang et al., Improving MPI Collective I/O for High Volume Non-Contiguous Requests With Intra-Node Aggregation, IEEE Transactions on Parallel and Distributed Systems, vol. 31, no. 11, pp. 2682-2695, Nov. 2020.
Q. Wu, K. He and X. Chen, Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge Based Framework, IEEE Open Journal of the Computer Society, vol. 1, pp. 35-44, 2020.
D. Kondor, B. Hashemian, Y. -A. de Montjoye and C. Ratti, Towards Matching User Mobility Traces in Large-Scale Datasets, IEEE Transactions on Big Data, vol. 6, no. 4, pp. 714-726, Dec. 2020.
A. Ankit et al., PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAM, IEEE Transactions on Computers, vol. 69, no. 8, pp. 1128-1142, Aug. 2020.
S. Varsamopoulos, K. Bertels and C. G. Almudever, Comparing Neural Network Based Decoders for the Surface Code, IEEE Transactions on Computers, vol. 69, no. 2, pp. 300-311, Feb. 2020.
2019 Winners
Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, and Enrico Magli, “ToothPic: Camera-Based Image Retrieval on Large Scales,” IEEE MultiMedia, vol. 26, no. 2, 2019, pp. 33-43.
Thierry Moreau, Tianqi Chen, Luis Vega, Jared Roesch, Eddie Yan, Lianmin Zheng, Josh Fromm, Ziheng Jiang, Luis Ceze, Carlos Guestrin, and Arvind Krishnamurthy, “A Hardware–Software Blueprint for Flexible Deep Learning Specialization,” IEEE Micro, vol. 39, no. 5, 2019, pp. 8-16.
Darja Smite, Nils Brede Moe, Georgiana Levinta, and Marcin Floryan, “Spotify Guilds: How to Succeed With Knowledge Sharing in Large-Scale Agile Organizations,” IEEE Software, vol. 36, no. 2, 2019, pp. 51-57.
Florian Daniel, Cinzia Cappiello, and Boualem Benatallah, “Bots Acting Like Humans: Understanding and Preventing Harm,” IEEE Internet Computing, vol. 23, no. 2, 2019, pp. 40-49.
Marie Hicks, “Hacking the Cis-tem,” IEEE Annals of the History of Computing, vol. 41, no.1, pp. 20-33, 2019.
Christine Murad, Cosmin Munteanu, Benjamin R. Cowan, and Leigh Clark, “Revolution or Evolution? Speech Interaction and HCI Design Guidelines,” IEEE Pervasive Computing, vol. 18, no. 2, 2019, pp. 33-45.
Victor Dibia and Cagatay Demiralp, “Data2Vis: Automatic Generation of Data Visualizations Using Sequence-to-Sequence Recurrent Neural Networks,” IEEE Computer Graphics and Applications, vol. 39, no. 05, pp. 33-46, 2019.
Jian Liu, Wenting Li, Ghassan O. Karame, and N. Asokan, “Scalable Byzantine Consensus via Hardware-Assisted Secret Sharing,” IEEE Transactions on Computers, vol. 68, no. 1, pp. 139-151, 2019.
Bradley Denby and Brandon Lucia, “Orbital Edge Computing: Machine Inference in Space,” IEEE Computer Architecture Letters, vol. 18, no. 1, 2019, pp. 59-62.
Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Kotagiri Ramamohanarao, and Qinbin Li, “Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training,” IEEE Transactions on Parallel and Distributed Systems, vol. 30, no. 12, 2019, pp. 2706-2717.
Jun Wu, Mianxiong Dong, Kaoru Ota, Jianhua Li, and Zhitao Guan, “FCSS: Fog-Computing-Based Content-Aware Filtering for Security Services in Information-Centric Social Networks,” IEEE Transactions on Emerging Topics in Computing, vol. 7, no. 4, 2019, pp. 553-564.
2019 Runners-Up
Yue Cao, Ning Wang, Celimuge Wu, Xu Zhang, and Chakkaphong Suthaputchakun, “Enhancing Video QoE Over High-Speed Train Using Segment-Based Prefetching and Caching,” IEEE MultiMedia, vol. 26, no. 4, 2019, pp. 55-66.
Ei Pa Pa Pe-Than, Alexander Nolte, Anna Filippova, Christian Bird, Steve Scallen, and James D. Herbsleb, “Designing Corporate Hackathons With a Purpose: The Future of Software Development,” IEEE Software, vol. 36, no. 1, 2019, pp. 15-22.
Meg Jones, “The Development of Consent to Computing,” IEEE Annals of the History of Computing, vol. 41, no. 4, 2019, pp. 34-47.
Alex Mariakakis, Edward Wang, Shwetak Patel, and Mayank Goel, “Challenges in Realizing Smartphone-Based Health Sensing,” IEEE Pervasive Computing, vol. 18, no. 2, 2019, pp. 76-84.
Lei Li, Hongbo Fu, and Chiew-Lan Tai, “Fast Sketch Segmentation and Labeling With Deep Learning,” IEEE Computer Graphics and Applications, vol. 39, no. 2, pp. 38-51, 2019.
Fabian Schuiki, Michael Schaffner, Frank K. Gurkaynak, and Luca Benini, “A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets,” IEEE Transactions on Computers, vol. 68, no. 4, pp. 484-497, 2019.
Xubin Tan, Jaume Bosch, Carlos Alvarez, Daniel Jimenez-Gonzalez, Eduard Ayguade, and Mateo Valero, “A Hardware Runtime for Task-Based Programming Models,” IEEE Transactions on Parallel and Distributed Systems, vol. 30, no. 9, 2019, pp. 1932-1946.
2018 Winners
Stephanie Dick and Daniel Volmar, “DLL Hell: Software Dependencies, Failure, and the Maintenance of Microsoft Windows,” IEEE Annals of the History of Computing, vol. 40, no. 4, 2018.
Yu Gan and Christina Delimitrou, “The Architectural Implications of Cloud Microservices,” IEEE Computer Architecture Letters, vol. 17, no. 2, 2018, pp. 155-158.
Mike Davies, Narayan Srinivasa, Tsung-Han Lin, Gautham Chinya, Yongqiang Cao, Sri Harsha Choday, Georgios Dimou, Prasad Joshi, Nabil Imam, Shweta Jain, Yuyun Liao, Chit-Kwan Lin, Andrew Lines, Ruokun Liu, Deepak Mathaikutty, Steven McCoy, Arnab Paul, Jonathan Tse, Guruguhanathan Venkataramanan, Yi-Hsin Weng, Andreas Wild, Yoonseok Yang, and Hong Wang, “Loihi: A Neuromorphic Manycore Processor with On-Chip Learning,” IEEE Micro, vol. 38, no. 1, 2018, pp. 82-99.
Huadong Ma and Wu Liu, “A Progressive Search Paradigm for the Internet of Things,” IEEE MultiMedia, vol. 25, no. 1, 2018, pp. 76-86.
Yair Meidan, Michael Bohadana, Yael Mathov, Yisroel Mirsky, Asaf Shabtai, Dominik Breitenbacher, and Yuval Elovici, “N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders,” IEEE Pervasive Computing, vol. 17, no. 3, 2018, pp. 12-22.
Brian A. Scriber, “A Framework for Determining Blockchain Applicability,” IEEE Software, vol. 35, no. 4, 2018, pp. 70-77.
Tiago Gama Rodrigues, Katsuya Suto, Hiroki Nishiyama, Nei Kato, and Katsuhiro Temma, “Cloudlets Activation Scheme for Scalable Mobile Edge Computing with Transmission Power Control and Virtual Machine Migration,” IEEE Transactions on Computers, vol. 67, no. 9, 2018, pp. 1287-1300.
Peyman Pouyan, Esteve Amat, and Antonio Rubio, “Memristive Crossbar Memory Lifetime Evaluation and Reconfiguration Strategies,” IEEE Transactions on Emerging Topics in Computing, vol. 6, no. 2, 2018, pp. 207-218.
Xiang Zhou, Xin Peng, Tao Xie, Jun Sun, Chao Ji, Wenhai Li, and Dan Ding, “Fault Analysis and Debugging of Microservice Systems: Industrial Survey and Empirical Study,” IEEE Transactions on Software Engineering, 2018.
2018 Runner-Up
Eric Chung, Jeremy Fowers, Kalin Ovtcharov, Michael Papamichael, Adrian Caulfield, Todd Massengill, Ming Liu, Daniel Lo, Shlomi Alkalay, Michael Haselman, Maleen Abeydeera, Logan Adams, Hari Angepat, Christian Boehn, Derek Chiou, Oren Firestein, Alessandro Forin, Kang Su Gatlin, Mahdi Ghandi, Stephen Heil, Kyle Holohan, Ahmad El Husseini, Tamas Juhasz, Kara Kagi, Ratna Kovvuri, Sitaram Lanka, Friedel van Megen, Dima Mukhortov, Prerak Patel, Brandon Perez, Amanda Rapsang, Steven Reinhardt, Bita Rouhani, Adam Sapek, Raja Seera, Sangeetha Shekar, Balaji Sridharan, Gabriel Weisz, Lisa Woods, Phillip Yi Xiao, Dan Zhang, Ritchie Zhao, and Doug Burger, “Serving DNNs in Real Time at Datacenter Scale with Project Brainwave,” IEEE Micro, vol. 38, no. 2018, pp. 8-20.
