MDPI’s 2022 Best Paper Awards in Computer Science and Mathematics—Winners Announced

The purpose of our Best Paper Awards is to promote and recognize the most impactful contributions published within MDPI journals.

The editors of each journal carefully selected reviews and research papers through a rigorous judging process based on criteria such as the scientific merit, overall impact, and the quality of presentation of the papers published in the journal.

We are honored to present the winners announced for the year 2022 in computer science and mathematics, who were selected amongst extensive competition, and congratulate the authors for their outstanding scientific publications. MDPI will continue to provide support and recognition to the academic community.

Algorithms:

• “An Improved Greedy Heuristic for the Minimum Positive Influence Dominating Set Problem in Social Networks”
  by Salim Bouamama and Christian Blum
  Algorithms 2021, 14(3), 79; https://doi.org/10.3390/a14030079

Axioms:

• “A New gH-Difference for Multi-Dimensional Convex Sets and Convex Fuzzy Sets”
  by Luciano Stefanini and Barnabas Bede
  Axioms 2019, 8(2), 48; https://doi.org/10.3390/axioms8020048

• “Initial Value Problem for Nonlinear Fractional Differential Equations with ψ-Caputo Derivative Via Monotone Iterative Technique”
  by Choukri Derbazi, Zidane Baitiche, Mouffak Benchohra and Alberto Cabada
  Axioms 2020, 9(2), 57; https://doi.org/10.3390/axioms9020057

Computation:

• “Machine-Learning Methods for Computational Science and Engineering”
  by Michael Frank, Dimitris Drikakis and Vassilis Charissis
  Computation 2020, 8(1), 15; https://doi.org/10.3390/computation8010015

• “Evaluation of a Near-Wall-Modeled Large Eddy Lattice Boltzmann Method for the Analysis of Complex Flows Relevant to IC Engines”
  by Marc Haussmann, Florian Ries, Jonathan B. Jeppener-Haltenhoff, Yongxiang Li, Marius Schmidt, Cooper Welch, Lars Illmann, Benjamin Böhm, Hermann Nirschl, Mathias J. Krause and Amsini Sadiki
  Computation 2020, 8(2), 43; https://doi.org/10.3390/computation8020043

Computers:

• “Recommendations for Integrating a P300-Based Brain–Computer Interface in Virtual Reality Environments for Gaming: An Update”
  by Grégoire Cattan, Anton Andreev and Etienne Visinoni
  Computers 2020, 9(4), 92; https://doi.org/10.3390/computers9010008

• “Improving Internet of Things (IoT) Security with Software-Defined Networking (SDN)”
  by Abdullah Al Hayajneh, Md Zakirul Alam Bhuiyan and Ian McAndrew
  Computers 2020, 9(1), 8; https://doi.org/10.3390/computers9010008

Data:

• “Trend Analysis on Adoption of Virtual and Augmented Reality in the Architecture, Engineering, and Construction Industry”
  by Noghabaei Mojtaba, Arsalan Heydarian, Vahid Balali and Kevin Han
  Data 2020, 5(1), 26; https://doi.org/10.3390/data5010026

Future Internet:

• “An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks”
  by Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Muhammad Shafique, Guido Masera and Maurizio Martina
  Future Internet 2020, 12(7), 113, https://doi.org/10.3390/fi12070113

Information:

• “Fastai: A Layered API for Deep Learning”
  by Jeremy Howard and Sylvain Gugger
  Information 2020, 11(2), 108; https://doi.org/10.3390/info11020108

• “From HMI to HMIs: Towards an HMI Framework for Automated Driving”
  by Klaus Bengler, Michael Rettenmaier, Nicole Fritz and Alexander Feierle
  Information 2020, 11(2), 61; https://doi.org/10.3390/info11020061

J. Imaging:

• “Explainable Deep Learning Models in Medical Image Analysis”
  by Amitojdeep Singh, Sourya Sengupta and Vasudevan Lakshminarayanan
  J. Imaging 2020, 6(6), 52; https://doi.org/10.3390/jimaging6060052

Mathematics:

• “A Regularity Criterion in Weak Spaces to Boussinesq Equations”
  by Ravi P. Agarwal, Sadek Gala and Maria Alessandra Ragusa
  Mathematics 2020, 8(6), 920; https://doi.org/10.3390/math8060920

• “Regarding New Wave Patterns of the Newly Extended Nonlinear (2+1)-Dimensional Boussinesq Equation with Fourth Order”
  by Juan Luis García Guirao, Haci Mehmet Baskonus and Ajay Kumar
  Mathematics 2020, 8(3), 341; https://doi.org/10.3390/math8030341

• “Elephant Herding Optimization: Variants, Hybrids, and Applications”
  by Juan Li, Hong Lei, Amir H. Alavi and Gai-Ge Wang
  Mathematics 2020, 8(9), 1415; https://doi.org/10.3390/math8091415

• “CLSTM: Deep Feature-Based Speech Emotion Recognition Using the Hierarchical ConvLSTM Network”
  by Mustaqeem and Soonil Kwon
  Mathematics 2020, 8(12), 2133; https://doi.org/10.3390/math8122133

• “Soft Open Bases and a Novel Construction of Soft Topologies from Bases for Topologies”
  by José Carlos R. Alcantud
  Mathematics 2020, 8(5), 672; https://doi.org/10.3390/math8050672

• “An Integrated Approach of Best-Worst Method (BWM) and Triangular Fuzzy Sets for Evaluating Driver Behavior Factors Related to Road Safety”
  by Sarbast Moslem, Muhammet Gul, Danish Farooq, Erkan Celik, Omid Ghorbanzadeh and Thomas Blaschke
  Mathematics 2020, 8(3), 414; https://doi.org/10.3390/math8030414

Signals:

• “Recognition of Blinks Activity Patterns during Stress Conditions Using CNN and Markovian Analysis”
  by Alexandra I. Korda, Giorgos Giannakakis, Errikos Ventouras, Pantelis A. Asvestas, Nikolaos Smyrnis, Kostas Marias and George K. Matsopoulos
  Signals 2021, 2(1), 55-71; https://doi.org/10.3390/signals2010006

• “An Educational Guide through the FMP Notebooks for Teaching and Learning Fundamentals of Music Processing”
  by Meinard Müller
  Signals 2021, 2(2), 245-285; https://doi.org/10.3390/signals2020018

Symmetry:

• “On the Remarkable Superconductivity of FeSe and Its Close Cousins”
  by Andreas Kreisel, Peter J. Hirschfeld and Brian M. Andersen
  Symmetry 2020, 12(9), 1402; https://doi.org/10.3390/sym12091402

• “Bilaterally Symmetrical: To Be or Not to Be?”
  by Michael C. Corballis
  Symmetry 2020, 12(3), 326; https://doi.org/10.3390/sym12030326

• “Are MCDA Methods Benchmarkable? A Comparative Study of TOPSIS, VIKOR, COPRAS, and PROMETHEE II Methods”
  by Wojciech Sałabun, Jarosław Wątróbski and Andrii Shekhovtsov
  Symmetry 2020, 12(9), 1549; https://doi.org/10.3390/sym12091549

• “Empirical Consequences of Emergent Mass”
  by Craig D. Roberts
  Symmetry 2020, 12(9), 1468; https://doi.org/10.3390/sym12091468

About MDPI Awards:

In order to reward the academic community, especially young researchers and enhance communication among scientists, MDPI journals regularly offer various awards to researchers in specific fields. These awards, serving as a source of inspiration and recognition, help raise the influence of talented individuals who have been credited with outstanding achievements and are making a significant contribution to the advancement of their fields.

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