Best Paper Award Winners
Congratulations to the authors of the 2020 Best Paper Award winners and runners-up!

The IEEE Computer Society Publications Board has awarded the following 2020 Best Paper Awards based on nominations submitted by each publication’s awards committee.

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.

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.