Computational Intelligence

Author(s): Malu Zhang, Jiadong Wang, Jibin Wu, Ammar Belatreche, Burin Amornpaisannon, Zhixuan Zhang, Venkata Pavan Kumar Miriyala, Hong Qu, Yansong Chua, Trevor E. Carlson, Haizhou Li

Pages: 1947 - 1958

14) An Event-Based Digital Time Difference Encoder Model Implementation for Neuromorphic Systems

Author(s): Daniel Gutierrez-Galan, Thorben Schoepe, Juan P. Dominguez-Morales, Angel Jimenez-Fernandez, Elisabetta Chicca, Alejandro Linares-Barranco

Pages: 1959 - 1973

15) Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application

Author(s): Zhou Wu, Qian Li, Haijun Zhang

Pages: 1974 - 1985

16) Event-Driven Intrinsic Plasticity for Spiking Convolutional Neural Networks

Author(s): Anguo Zhang, Xiumin Li, Yueming Gao, Yuzhen Niu

Pages: 1986 - 1995

17) How Frequency Injection Locking Can Train Oscillatory Neural Networks to Compute in Phase

Author(s): Aida Todri-Sanial, Stefania Carapezzi, Corentin Delacour, Madeleine Abernot, Thierry Gil, Elisabetta Corti, Siegfried F. Karg, Juan Nüñez, Manuel Jiménèz, María J. Avedillo, Bernabé Linares-Barranco

Pages: 1996 - 2009

18) Memory Recall: A Simple Neural Network Training Framework Against Catastrophic Forgetting

Author(s): Baosheng Zhang, Yuchen Guo, Yipeng Li, Yuwei He, Haoqian Wang, Qionghai Dai

Pages: 2010 - 2022

19) Unsupervised Estimation of Monocular Depth and VO in Dynamic Environments via Hybrid Masks

Author(s): Qiyu Sun, Yang Tang, Chongzhen Zhang, Chaoqiang Zhao, Feng Qian, Jürgen Kurths

Pages: 2023 - 2033

20) Multisample Online Learning for Probabilistic Spiking Neural Networks

Author(s): Hyeryung Jang, Osvaldo Simeone

Pages: 2034 - 2044

21) Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture

Author(s): Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio

Pages: 2045 - 2056

22) Training Deep Neural Network for Optimal Power Allocation in Islanded Microgrid Systems: A Distributed Learning-Based Approach

Author(s): Fanghong Guo, Bowen Xu, Wen-An Zhang, Changyun Wen, Dan Zhang, Li Yu

Pages: 2057 - 2069

23) Recognizing Missing Electromyography Signal by Data Split Reorganization Strategy and Weight-Based Multiple Neural Network Voting Method

Author(s): Feng Duan, Yikang Yang

Pages: 2070 - 2079

24) A Multiobjective Evolutionary Nonlinear Ensemble Learning With Evolutionary Feature Selection for Silicon Prediction in Blast Furnace

Author(s): Xianpeng Wang, Tenghui Hu, Lixin Tang

Pages: 2080 - 2093

25) A Brain-Inspired Approach for Collision-Free Movement Planning in the Small Operational Space

Author(s): Dengpeng Xing, Jiale Li, Tielin Zhang, Bo Xu

Pages: 2094 - 2105

26) Memristive Circuit Implementation of a Self-Repairing Network Based on Biological Astrocytes in Robot Application

Author(s): Qinghui Hong, Hegan Chen, Jingru Sun, Chunhua Wang

Pages: 2106 - 2120

27) Memristor-Based Edge Computing of Blaze Block for Image Recognition

Author(s): Huanhuan Ran, Shiping Wen, Qian Li, Yin Yang, Kaibo Shi, Yuming Feng, Pan Zhou, Tingwen Huang

Pages: 2121 - 2131

28) Target Convergence Analysis of Cancer-Inspired Swarms for Early Disease Diagnosis and Targeted Collective Therapy

Author(s): Nasibeh Rady Raz, Mohammad-R. Akbarzadeh-T

Pages: 2132 - 2146

29) Toward Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network

Author(s): Zhenshan Bing, Amir EI Sewisy, Genghang Zhuang, Florian Walter, Fabrice O. Morin, Kai Huang, Alois Knoll

Pages: 2147 - 2158

30) An MVMD-CCA Recognition Algorithm in SSVEP-Based BCI and Its Application in Robot Control

Author(s): Kang Wang, Di-Hua Zhai, Yuhan Xiong, Leyun Hu, Yuanqing Xia

Pages: 2159 - 2167

31) Brain-Inspired Experience Reinforcement Model for Bin Packing in Varying Environments

Author(s): Linli Zhang, Dewei Li, Shuai Jia, Haibin Shao

Pages: 2168 - 2180

32) Robust Facial Landmark Detection by Multiorder Multiconstraint Deep Networks

Author(s): Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao

Pages: 2181 - 2194

33) Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling

Author(s): Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi

Pages: 2195 - 2207

34) SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Image Set Classification

Author(s): Rui Wang, Xiao-Jun Wu, Josef Kittler

Pages: 2208 - 2222

35) An Off-Policy Trust Region Policy Optimization Method With Monotonic Improvement Guarantee for Deep Reinforcement Learning

Author(s): Wenjia Meng, Qian Zheng, Yue Shi, Gang Pan

Pages: 2223 - 2235

36) Contrastive Adversarial Domain Adaptation Networks for Speaker Recognition

Author(s): Longxin Li, Man-Wai Mak, Jen-Tzung Chien

Pages: 2236 - 2245

37) A Neuromorphic CMOS Circuit With Self-Repairing Capability

Author(s): Ehsan Rahiminejad, Fatemeh Azad, Adel Parvizi-Fard, Mahmood Amiri, Bernabé Linares-Barranco

Pages: 2246 - 2258

38) StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs

Author(s): Tianyun Zhang, Shaokai Ye, Xiaoyu Feng, Xiaolong Ma, Kaiqi Zhang, Zhengang Li, Jian Tang, Sijia Liu, Xue Lin, Yongpan Liu, Makan Fardad, Yanzhi Wang

Pages: 2259 - 2273

39) Unsupervised Feature Selection With Extended OLSDA via Embedding Nonnegative Manifold Structure

Author(s): Rui Zhang, Hongyuan Zhang, Xuelong Li, Sheng Yang

Pages: 2274 - 2280

Sunday, May 15, 2022

Conference Paper Deadline: IEEE LA-CCI 2022

The deadline for submitting papers to the 8th IEEE Latin American Conference on Computational Intelligence (IEEE LA-CCI 2022) is 29 May 2022. This conference will be held in Montevideo, Uruguay, 22-25 November, 2022.

Saturday, May 14, 2022

Conference paper deadline: ICISCI 2022

The deadline for submitting papers to the International Conference on Intelligent Systems and Computational Intelligence (ICISCI 2022) is 1 July 2022. This conference will be held in Changsha, China, 15-17 October 2022.

Thursday, May 12, 2022

Conference paper deadline: IEEE SSCI 2022

The deadline for submitting papers to the 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2022) is 1 July 2022. This conference will be held 4-7 December 2022 in Singapore.

Wednesday, May 11, 2022

Conference paper deadline: ACAIT 2022

The paper submission deadline for the 2022 Asian Conference on Artificial Intelligence Technology (ACAIT 2022) is 30 May 2022. This conference will be held in Changzhou, China, 28-30 October 2022.

Tuesday, May 10, 2022

Conference paper deadline: IEEE CIBCB 2022

The deadline for submitting papers to the 2022 IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2022) is 15 May 2022. This conference will be held 15-17 August 2022 in Ottawa, Canada.

Friday, May 6, 2022

Weekly Review 6 May 2022

1) Controlling fusion plasma with #AI: https://www.wired.co.uk/article/deepmind-ai-nuclear-fusion

2) I agree, people need to put more effort into preparing the data for their #AI, and we need lighter-weight algorithms as well: https://spectrum.ieee.org/andrew-ng-data-centric-ai

3) An older article, on building a chatbot with Python: https://www.kdnuggets.com/2019/12/build-intelligent-chatbot.html

4) Not so much wanting to list the #AI as the inventor for patent purposes, as the company that owns the AI. This makes more sense to me: https://www.odt.co.nz/news/national/legal-challenge-ai-test-case

5) Combining optical diffraction with #DeepLearning to encrypt and decrypt images: https://spectrum.ieee.org/deep-learning-facial-recognition-technology

6) Self-driving cars is one area where explainable #AI is very important: https://spectrum.ieee.org/at-last-a-self-driving-car-that-can-explain-itself

7) The use of #MachineLearning can improve business, but it's not a silver bullet: https://www.kdnuggets.com/2021/12/machine-learning-produce-value-business.html

8) An open source #Ai group who think OpenAI is not open enough: https://spectrum.ieee.org/eleutherai-openai-not-open-enough

9) A smart agent for selecting which cookies to accept: https://www.theregister.com/2022/04/12/cookie_consent_is_broken_and/

10) 12 graphs about the state of #AI in 2022, and what they show: https://spectrum.ieee.org/artificial-intelligence-index

11) #MachineLearning models can leak personal data, but only if the training data set is accessible: https://www.theregister.com/2022/04/12/machine_learning_poisoning/

12) Ordering companies to destroy their #AI models constructed with illegally gathered data: https://spectrum.ieee.org/ai-concerns-algorithmic-destruction

13) More work on the limitations of #DeepLearning: https://spectrum.ieee.org/deep-neural-network

IEEE Transactions on Fuzzy Systems, Volume 30, Issue 5, May 2022

1) Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy

Author(s): Lin Sun, Tengyu Yin, Weiping Ding, Yuhua Qian, Jiucheng Xu

Pages: 1197 - 1211

2) Characterizations of Pointwise Pseudometrics via Pointwise Closed-Ball Systems

Author(s): Chong Shen, Yi Shi, Fu-Gui Shi, Hadrian Andradi

Pages: 1212 - 1223

3) Adaptive Fuzzy Fault Tolerant Control of Uncertain MIMO Nonlinear Systems With Output Constraints and Unknown Control Directions

Author(s): Zhengwei Ruan, Qinmin Yang, Shuzhi Sam Ge, Youxian Sun

Pages: 1224 - 1238

4) Characterizing Functions of n-Uninorms With Continuous Underlying Functions

Author(s): Andrea Mesiarová-Zemánková

Pages: 1239 - 1247

5) Monotone Fuzzy Rule Interpolation for Practical Modeling of the Zero-Order TSK Fuzzy Inference System

Author(s): Yi Wen Kerk, Kai Meng Tay, Chee Peng Lim

Pages: 1248 - 1259

6) Novel Intuitionistic-Based Interval Type-2 Fuzzy Similarity Measures With Application to Clustering

Author(s): Sahar Cherif, Nesrine Baklouti, Hani Hagras, Adel M. Alimi

Pages: 1260 - 1271

7) Fuzzy Integral Sliding Mode Observer-Based Structure and Motion Estimation of Multiple Objects Using a Monocular Camera

Author(s): Dongkyoung Chwa

Pages: 1272 - 1286

8) A Dynamic Feedback Mechanism With Attitudinal Consensus Threshold for Minimum Adjustment Cost in Group Decision Making

Author(s): Qi Sun, Jian Wu, Francisco Chiclana, Hamido Fujita, Enrique Herrera-Viedma

Pages: 1287 - 1301

9) Observer-Based Fixed-Time Adaptive Fuzzy Bipartite Containment Control for Multiagent Systems With Unknown Hysteresis

Author(s): Ying Wu, Hui Ma, Mou Chen, Hongyi Li

Pages: 1302 - 1312

10) Quantum Pythagorean Fuzzy Evidence Theory: A Negation of Quantum Mass Function View

Author(s): Xiaozhuan Gao, Lipeng Pan, Yong Deng

Pages: 1313 - 1327

11) A Feature Discretization Method Based on Fuzzy Rough Sets for High-Resolution Remote Sensing Big Data Under Linear Spectral Model

Author(s): Qiong Chen, Mengxing Huang, Hao Wang, Guangquan Xu

Pages: 1328 - 1342

12) Characterization of a Class of Fuzzy Implications Satisfying the Law of Importation With Respect to Uninorms With Continuous Underlying Operators

Author(s): Wen-Huang Li, Feng Qin

Pages: 1343 - 1356

13) Weighted Multiview Possibilistic C-Means Clustering With L2 Regularization

Author(s): Josephine Bernadette M. Benjamin, Miin-Shen Yang

Pages: 1357 - 1370

14) Event-Triggered Sliding-Mode Control of Networked Fuzzy Systems With Strict Dissipativity

Author(s): Yao Wen, Chunting Jiao, Xiaojie Su, Peng Shi

Pages: 1371 - 1381

15) Ranking of Independent and Dependent Fuzzy Numbers and Intransitivity in Fuzzy MCDA

Author(s): Boris Yatsalo, Alexander Korobov, Alexander Radaev, Jindong Qin, Luis Martínez

Pages: 1382 - 1395

16) Hybrid Missing Value Imputation Algorithms Using Fuzzy C-Means and Vaguely Quantified Rough Set

Author(s): Daiwei Li, Haiqing Zhang, Tianrui Li, Abdelaziz Bouras, Xi Yu, Tao Wang

Pages: 1396 - 1408

17) Fuzzy Event-Triggered Control for Back-to-Back Converter Involved PMSG-Based Wind Turbine Systems

Author(s): Prakash Mani, Young Hoon Joo

Pages: 1409 - 1420

18) Privacy-Aware Fuzzy Range Query Processing Over Distributed Edge Devices

Author(s): Yinglong Li, Weiru Liu, Yihua Zhu, Hong Chen, Hongbing Cheng, Tieming Chen, Ping Hu, Ruohong Huan

Pages: 1421 - 1435

19) Finite-Time Synchronization for Fuzzy Inertial Neural Networks by Maximum Value Approach

Author(s): Zhengqiu Zhang, Jinde Cao

Pages: 1436 - 1446

20) Spatially Local Piecewise Fuzzy Control for Nonlinear Delayed DPSs With Random Packet Losses

Author(s): Zi-Peng Wang, Huai-Ning Wu, Tingwen Huang

Pages: 1447 - 1459

21) Time-Varying Tube-Based Output Feedback Robust MPC for T–S Fuzzy Systems

Author(s): Xubin Ping, Junying Yao, Baocang Ding, Peng Wang, Zhiwu Li

Pages: 1460 - 1474

22) Order Relations and Operations on the Set of Probabilistic Linguistic Term Sets

Author(s): Hai Wang, Huchang Liao, Zeshui Xu

Pages: 1475 - 1485

23) Manifold-Regularized Multitask Fuzzy System Modeling With Low-Rank and Sparse Structures in Consequent Parameters

Author(s): Jun Wang, Zhuangzhuang Zhao, Zhaohong Deng, Kup-Sze Choi, Lejun Gong, Jun Shi, Shitong Wang

Pages: 1486 - 1500

Friday, April 29, 2022

Weekly Review 29 April 2022

Some interesting links that I Tweeted about this week:

1) Kids do get AI, and technology in general. My own kid engages with AI very easily. https://spectrum.ieee.org/kids-ai

2) Not DevOps, but MLOps: https://www.kdnuggets.com/2021/11/accelerating-ai-mlops.html

3) Evolutionary robotics. Not a new idea, but the simplification of it to two dimensions speeds things up a bit: https://spectrum.ieee.org/robot-design

4) Reproducibility has been a problem in science for a while now. How much #AI research is repeatable? https://www.nature.com/articles/d41586-021-02486-7

5) Moving #NeuralNetwork operations to analog devices: https://spectrum.ieee.org/new-devices-for-analog-ai

6) There is a lot of hype around #AI, but tech experts seems to be less vulnerable to it: https://www.techrepublic.com/article/our-most-technical-people-are-down-on-ai-and-thats-a-good-thing/

7) Stephen Grossberg is not a fan of #DeepLearning, and prefers his own ART model: https://spectrum.ieee.org/deep-learning-cant-be-trusted

8) Quantum entanglement can boost the performance of quantum #MachineLearning: https://spectrum.ieee.org/quantum-machine-learning

9) Overview of transfer learning in #AI: https://www.kdnuggets.com/2022/01/transfer-learning.html

10) So now an #AI can be recognised as an inventor for a patent? This will not end well: https://spectrum.ieee.org/first-time-ai-named-inventor

11) Using #MachineLearning to detect depression from EEG signals: https://www.odt.co.nz/news/dunedin/using-ai-help-treat-depression

12) The six worst case scenarios that could be brought about by #AI. None of which are extermination of the human race: https://spectrum.ieee.org/ai-worst-case-scenarios

13) An overview of concept drift in #MachineLearning. This is what causes the performance of deployed #AI models to degrade over time: https://www.kdnuggets.com/2022/01/machine-learning-models-die-silence.html

14) Using #DeepLearning to detect early Alzheimer's from speech samples: https://spectrum.ieee.org/ai-to-detect-alzheimers

15) So medical imagers "hallucinate" because they use #MachineLearning to process the images before the operator sees them? I really don't think that's a good idea: https://spectrum.ieee.org/ai-medical-imaging-false-structures

16) Nine technologies that will help with your advanced studies in #MachineLearning. Wish I'd had some of these when doing my PhD: https://www.kdnuggets.com/2021/09/nine-tools-mastered-before-phd-machine-learning.html

17) Building a synthetic world to help create training data for #AI: https://spectrum.ieee.org/synthetic-data-ai

18) Diagnosing prostate cancer biopsies with #AI: https://www.odt.co.nz/news/dunedin/campus/ai-can-diagnose-prostate-cancer-study

19) Faster #NeuralNetwork processing with wafer chips: https://spectrum.ieee.org/graphcore-ai-processor

20) I think most researchers have felt burnt out, or felt like an imposter, at some point in their careers: https://www.nature.com/articles/d41586-021-03042-z

Thursday, April 21, 2022

Soft Computing, Volume 26, Issue 10, May 2022

1) Q-residuated lattices and lattice pseudoeffect algebras

Author(s): Xiaohong Zhang, Mei Wang, Nan Sheng

Pages: 4519 - 4540

2) On topology of maximal ideals of EBL-algebras

Author(s): Hongxing Liu

Pages: 4541 - 4552

3) Web applications for multiuser interaction based on power Heronian aggregation operators

Author(s): Aliya Fahmi, Zahida Maqbool...Muhammad Aslam

Pages: 4553 - 4573

4) A scientific report of singular kernel on the rate-type fluid subject to the mixed convection flow

Author(s): Aziz Ullah Awan, Samia Riaz...Kashif Ali Abro

Pages: 4575 - 4585

5) Pseudo-fractional operators of variable order and applications

Author(s): D. S. Oliveira, J. Vanterler da C. Sousa, Gastão S. F. Frederico

Pages: 4587 - 4605

6) Matrix reasoning and intelligent acquisition-application of unknown information

Author(s): Xiaoyou Chen, Shuli Zhao, Kaiquan Shi

Pages: 4607 - 4612

7) Swing-up control of an inverted pendulum cart system using the approach of Hedge-algebras theory

Author(s): Hai-Le Bui, Minh-Nam Pham, Thai-Tat-Hoan Nguyen

Pages: 4613 - 4627

8) Parameter trees based on soft set theory and their similarity measures

Author(s): Faruk Karaaslan, Naim Çağman

Pages: 4629 - 4639

9) Neutrosophic variational inequalities with applications in decision-making

Author(s): Madad Khan, Muhammad Zeeshan, Sohail Iqbal

Pages: 4641 - 4652

10) Two different approaches for consistency of intuitionistic multiplicative preference relation using directed graph

Author(s): Mamata Sahu, Anjana Gupta

Pages: 4653 - 4671

11) Generalized hesitant fuzzy numbers and their application in solving MADM problems based on TOPSIS method

Author(s): Abazar Keikha

Pages: 4673 - 4683

12) Three methods to generalize Pawlak approximations via simply open concepts with economic applications

Author(s): Mostafa K. El-Bably, Mohammad El-Sayed

Pages: 4685 - 4700

13) An autism spectrum disorder adaptive identification based on the Elimination of brain connections: a proof of long-range underconnectivity

Author(s): Fatima Zahra Benabdallah, Ahmed Drissi El Maliani...Mohammed El Hassouni

Pages: 4701 - 4711

14) Defect prediction model using transfer learning

Author(s): Ruchika Malhotra, Shweta Meena

Pages: 4713 - 4726

15) A real-time algorithm for weight training detection and correction

Author(s): Chen-Yi Lin, Kuan-Cheng Jian

Pages: 4727 - 4739

16) Layered feature representation for differentiable architecture search

Author(s): Jie Hao, William Zhu

Pages: 4741 - 4753

17) CFDIL: a context-aware feature deep interaction learning for app recommendation

Author(s): Qingbo Hao, Ke Zhu...Zhen Liu

Pages: 4755 - 4770

18) Cattle identification with muzzle pattern using computer vision technology: a critical review and prospective

Author(s): Amanpreet Kaur, Munish Kumar, M. K. Jindal

Pages: 4771 - 4795

19) A new mycorrhized tree optimization nature-inspired algorithm

Author(s): Hector Carreon-Ortiz, Fevrier Valdez

Pages: 4797 - 4817

20) Integrating supplier selection, lot sizing and facility location decisions under a TBL approach: a case study

Author(s): Mehmet Alegoz, Haluk Yapicioglu

Pages: 4819 - 4830

21) Identification of unbalance characteristics of rotating machinery using a novel optimization-based methodology

Author(s): Ahmad Abbasi, Behnam Firouzi...Rajiv Tiwari

Pages: 4831 - 4862

22) Hybrid Aquila optimizer with arithmetic optimization algorithm for global optimization tasks

Author(s): Shubham Mahajan, Laith Abualigah...Maryam Altalhi

Pages: 4863 - 4881

23) Evaluations for medical diagnoses phenomena through 2×2 linguistic neutrosophic environment-based game situation

Author(s): Ankan Bhaumik, Sankar Kumar Roy

Pages: 4883 - 4893

24) Feeder segment switch-based relay protection for a multilayer differential defense-oriented distribution network

Author(s): Qingjie Wang

Pages: 4895 - 4904

25) Toward efficient security-based authentication for the internet of drones in defense wireless communication

Author(s): P. Tamil Selvi, T. Santhi Sri...Abhiram Srikanth

Pages: 4905 - 4913

26) Verification and modeling of IoT time automata for gateway security system

Author(s): P. Kamakshi, Y. Bhavani...T. Mahesh Kumar

Pages: 4915 - 4928

27) iTSA: an improved Tunicate Swarm Algorithm for defensive resource assignment problem

Author(s): Kusum Yadav, Jalawi Sulaiman Alshudukhi...Wattana Viriyasitavat

Pages: 4929 - 4937

28) Multivariate weighted isotonic regressive modest adaptive boosting-based resource-aware routing in WSN

Author(s): N. Muruganandam, V. Venkatraman, R. Venkatesan

Pages: 4939 - 4948

29) Low contrast enhancement technique for color images using interval-valued intuitionistic fuzzy sets with contrast limited adaptive histogram equalization

Author(s): J. Reegan Jebadass, P. Balasubramaniam

Pages: 4949 - 4960

30) A novel single-input interval type-2 fractional-order fuzzy controller for systems with parameter uncertainty

Author(s): Mortaza Aliasghary, Reza Mohammadikia

Pages: 4961 - 4977

Wednesday, April 20, 2022

Soft Computing, Volume 26, issue 9, May 2022

Author(s): Şerif Özlü, Faruk Karaaslan

Pages: 4059 - 4080

2) An eco-friendly evaluation for locating wheat processing plants: an integrated approach based on interval type-2 fuzzy AHP and COPRAS

Author(s): Cihan Çetinkaya, Barış Özkan...Samer Haffar

Pages: 4081 - 4102

3) A new effective approximate multiplication operation on LR fuzzy numbers and its application

Author(s): M. Ghanbari, T. Allahviranloo...W. Pedrycz

Pages: 4103 - 4113

4) Compactness and subspace M-topologies

Author(s): P. Rajish Kumar, Sunil Jacob John, Sovan Samanta

Pages: 4115 - 4122

5) A theoretical and analytical approach to the conceptual framework of convexity cum concavity on fuzzy hypersoft sets with some generalized properties

Author(s): Atiqe Ur Rahman, Muhammad Saeed, Florentin Smarandache

Pages: 4123 - 4139

6) Automatic lipreading based on optimized OLSDA and HMM

Author(s): Yuanyao Lu, Ke Gu, Ying Cai

Pages: 4141 - 4150

7) Competitive-blockchain-based parking system with fairness constraints

Author(s): Walter Balzano, Marco Lapegna...Fabio Vitale

Pages: 4151 - 4162

8) Delta root: a new definition of a square root of fuzzy numbers

Author(s): Taechang Byun, Ji Eun Lee, Jin Hee Yoon

Pages: 4163 - 4169

9) Graph reduction in a path information-based rough directed graph model

Author(s): Danyang Wang, Ping Zhu

Pages: 4171 - 4186

10) The generalized maximum belief entropy model

Author(s): Siran Li, Rui Cai

Pages: 4187 - 4198

11) A novel IVIF QFD considering both the correlations of customer requirements and the ranking uncertainty of technical attributes

Author(s): Linyu Wang, Liying Yu, Zhongxin Ni

Pages: 4199 - 4213

12) Improved stability criteria for nonlinear fractional order fuzzy systems with time-varying delay

Author(s): Parvin Mahmoudabadi, Mahsan Tavakoli-Kakhki

Pages: 4215 - 4226

13) A new approach of fuzzy bi-ideal theory applied on semigroups

Author(s): P. Yiarayong

Pages: 4227 - 4236

14) Big data tracking and automatic measurement technology for unmanned aerial vehicle trajectory based on MEMS sensor

Author(s): Jun Xing, Xinzhe Wang, Jie Dong

Pages: 4237 - 4247

15) A new approach for fuzzy classification by a multiple-attribute decision-making model

Author(s): M. Ranjbar, S. Effati

Pages: 4249 - 4260

16) Detection of tyre defects using weighted quality-based convolutional neural network

Author(s): M. Rajeswari, E. Golden Julie, Le Hoang Son

Pages: 4261 - 4273

17) Design and analysis of super wide band antenna and its notch band characteristics

Author(s): Pradeep Vinaik Kodavanti, P. V. Y. Jayasree, Prabhakara Rao Bhima

Pages: 4275 - 4287

18) A 9-bit pseudo-noise-based calibrated successive approximation ADC with differential/integral nonlinearity enhancement

Author(s): Chakradhar Adupa, Chaithanya Mannepalli, Sreenivasa Rao Ijjada

Pages: 4289 - 4294

19) Reduction of PAPR for FBMC-OQAM system using Ant Colony Optimisation technique

Author(s): Ch. Thejesh Kumar, AmitBindaj Karpurapu, Yash Pal Singh

Pages: 4295 - 4302

20) An optimization approach for green tourist trip design

Author(s): Ghazaleh Divsalar, Ali Divsalar...Hadi Sahebi

Pages: 4303 - 4332

21) A new modified social engineering optimizer algorithm for engineering applications

Author(s): Fariba Goodarzian, Peiman Ghasemi...Ajith Abraham

Pages: 4333 - 4361

22) Multi-group discrete symbiotic organisms search applied in traveling salesman problems

Author(s): Zhi-Gang Du, Jeng-Shyang Pan...Yi-Jui Chiu

Pages: 4363 - 4373

23) Multicriteria q-Rung orthopair fuzzy decision analysis: a novel approach based on Archimedean aggregation operators with the confidence levels

Author(s): Yabin Shao, Ning Wang, Zengtai Gong

Pages: 4375 - 4394

24) Mixed models for optimal saving with labor income risk and interest-rate risk

Author(s): Irina Georgescu

Pages: 4395 - 4411

25) Picture fuzzy WASPAS technique and its application in multi-criteria decision-making

Author(s): Tapan Senapati, Guiyun Chen

Pages: 4413 - 4421

26) Blockchain for federated learning toward secure distributed machine learning systems: a systemic survey

Author(s): Dun Li, Dezhi Han...Kuan-Ching Li

Pages: 4423 - 4440

27) ECC-based lightweight authentication and access control scheme for IoT E-healthcare

Author(s): Hailong Yao, Qiao Yan...Caihui Lan

Pages: 4441 - 4461

28) A bee colony optimization (BCO) and type-2 fuzzy approach to measuring the impact of speed perception on motor vehicle crash involvement

Author(s): Marjana Čubranić-Dobrodolac, Libor Švadlenka...Momčilo Dobrodolac

Pages: 4463 - 4486

29) Neuro-fuzzy network incorporating multiple lexicons for social sentiment analysis

Author(s): Srishti Vashishtha, Seba Susan

Pages: 4487 - 4507

30) An improved Wi-Fi sensing-based human activity recognition using multi-stage deep learning model

Author(s): P. Sruthi, Siba K. Udgata

Pages: 4509 - 4518

Tuesday, April 5, 2022

IEEE Transactions on Fuzzy Systems, Volume 30, Issue 4, April 2022

1) Constructing ANFIS With Sparse Data Through Group-Based Rule Interpolation: An Evolutionary Approach

Author(s): Jing Yang, Changjing Shang, Ying Li, Fangyi Li, Liang Shen, Qiang Shen

Pages: 893 - 907

2) Dissipativity-Based Filtering of Time-Varying Delay Interval Type-2 Polynomial Fuzzy Systems Under Imperfect Premise Matching

Author(s): Hongying Zhou, Hak-Keung Lam, Bo Xiao, Zhixiong Zhong

Pages: 908 - 917

3) Fuzzy Functional Observer-Based Finite-Time Adaptive Sliding-Mode Control for Nonlinear Systems With Matched Uncertainties

Author(s): Baopeng Zhu, Yingchun Wang, Huaguang Zhang, Xiangpeng Xie

Pages: 918 - 932

4) Event-Triggered Fuzzy Adaptive Leader-Following Tracking Control of Nonaffine Multiagent Systems With Finite-Time Output Constraint and Input Saturation

Author(s): Yasaman Salmanpour, Mohammad Mehdi Arefi, Alireza Khayatian, Okyay Kaynak

Pages: 933 - 944

5) Interval-Observer-Based Fault Detection and Isolation Design for T-S Fuzzy System Based on Zonotope Analysis

Author(s): Fanglai Zhu, Yuyan Tang, Zhenhua Wang

945 - 955

6) Functional Fuzzy System: A Nonlinear Regression Model and Its Learning Algorithm for Function-on-Function Regression

Author(s): Dongjiao Ge, Xiao-Jun Zeng

Pages: 956 - 967

7) A General Approach to Fixed-Time Synchronization Problem for Fractional-Order Multidimension-Valued Fuzzy Neural Networks Based on Memristor

Author(s): Jianying Xiao, Jun Cheng, Kaibo Shi, Ruimei Zhang

Pages: 968 - 977

8) Improvement of Enhanced Opposite Direction Searching Algorithm

Author(s): Li Wu, Fucai Qian, Min Wang, Ting Shang

Pages: 978 - 989

9) The Idempotency of Convolution Operations on Fuzzy Truth Values

Author(s): Wei Zhang, Bao Qing Hu

Pages: 990 - 998

10) A Fuzzy System of Operation Safety Assessment Using Multimodel Linkage and Multistage Collaboration for In-Wheel Motor

Author(s): Hongtao Xue, Dianyong Ding, Ziming Zhang, Meng Wu, Huaqing Wang

Pages: 999 - 1013

11) Sampled-Data Adaptive Fuzzy Control of Switched Large-Scale Nonlinear Delay Systems

Author(s): Shi Li, Choon Ki Ahn, Mohammed Chadli, Zhengrong Xiang

Pages: 1014 - 1024

12) Adaptive Fuzzy Event-Triggered Command-Filtered Control for Nonlinear Time-Delay Systems

Author(s): Min Li, Shi Li, Choon Ki Ahn, Zhengrong Xiang

Pages: 1025 - 1035

13) Static Output Feedback Quantized Control for Fuzzy Markovian Switching Singularly Perturbed Systems With Deception Attacks

Author(s): Jun Cheng, Yueying Wang, Ju H. Park, Jinde Cao, Kaibo Shi

Pages: 1036 - 1047

14) New Linguistic Description Approach for Time Series and Its Application to Bed Restlessness Monitoring for Eldercare

Author(s): Carmen Martinez-Cruz, Antonio J. Rueda, Mihail Popescu, James M. Keller

Pages: 1048 - 1059

15) N-Dimensional Admissibly Ordered Interval-Valued Overlap Functions and Its Influence in Interval-Valued Fuzzy-Rule-Based Classification Systems

Author(s): Tiago da Cruz Asmus, José Antonio Sanz, Graçaliz Pereira Dimuro, Benjamín Bedregal, Javier Fernández, Humberto Bustince

Pages: 1060 - 1072

16) Robust Jointly Sparse Fuzzy Clustering With Neighborhood Structure Preservation

Author(s): Jie Zhou, Witold Pedrycz, Can Gao, Zhihui Lai, Jun Wan, Zhong Ming

Pages: 1073 - 1087

17) Multimodal Infant Brain Segmentation by Fuzzy-Informed Deep Learning

Author(s): Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Witold Pedrycz

Pages: 1088 - 1101

18) Constrained Pythagorean Fuzzy Sets and Its Similarity Measure

Author(s): Lipeng Pan, Xiaozhuan Gao, Yong Deng, Kang Hao Cheong

Pages: 1102 - 1113

19) Fixed-Time Adaptive Fuzzy Control for Uncertain Nonstrict-Feedback Systems With Time-Varying Constraints and Input Saturations

Author(s): Jinlin Sun, Jianqiang Yi, Zhiqiang Pu

Pages: 1114 - 1128

20) A Novel H∞ Control for T–S Fuzzy Systems With Membership Functions Online Optimization Learning

Author(s): Zhenxing Zhang, Jiuxiang Dong

Pages: 1129 - 1138

21) Barrier-Lyapunov-Based Adaptive Fuzzy Finite-Time Tracking of Pure-Feedback Nonlinear Systems With Constraints

Author(s): Nan Wang, Zhumu Fu, Shuzhong Song, Tong Wang

Pages: 1139 - 1148

22) Measure-Based Group Decision-Making With Principle-Guided Social Interaction Influence for Incomplete Information: A Game Theoretic Perspective

Author(s): Zeyi Liu, Yong Deng, Ronald R. Yager

Pages: 1149 - 1163

23) Impulse Elimination of the Takagi–Sugeno Fuzzy Singular System Via Sliding-Mode Control

Author(s): Yi Zhang, Zhenghong Jin, Qingling Zhang

Pages: 1164 - 1174

24) Disturbance Observer-Based Adaptive Fuzzy Control for Strict-Feedback Nonlinear Systems With Finite-Time Prescribed Performance

Author(s): Jianbin Qiu, Tong Wang, Kangkang Sun, Imre J. Rudas, Huijun Gao

Pages: 1175 - 1184

25) Fault Isolation and Fault-Tolerant Control for Takagi–Sugeno Fuzzy Time-Varying Delay Stochastic Distribution Systems

Author(s): Yunfeng Kang, Lina Yao, Hong Wang

Pages: 1185 - 1195

Monday, April 4, 2022

IEEE Transactions on Evolutionary Computation, Volume 26, Issue 2, April 2022

1) Guest Editorial Special Issue on Multitask Evolutionary Computation

Author(s): Abhishek Gupta, Yew-Soon Ong, Kenneth A. De Jong, Mengjie Zhang

Pages: 202 - 205

2) Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation

Author(s): Thiago Rios, Bas van Stein, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel

Pages: 206 - 217

3) Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning

Author(s): Ying Bi, Bing Xue, Mengjie Zhang

Pages: 218 - 232

4) Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning

Author(s): Aritz D. Martinez, Javier Del Ser, Eneko Osaba, Francisco Herrera

Pages: 233 - 247

5) A Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization

Author(s): Yinglan Feng, Liang Feng, Sam Kwong, Kay Chen Tan

Pages: 248 - 262

6) An Evolutionary Multitasking Optimization Framework for Constrained Multiobjective Optimization Problems

Author(s): Kangjia Qiao, Kunjie Yu, Boyang Qu, Jing Liang, Hui Song, Caitong Yue

Pages: 263 - 277

7) Evolutionary Competitive Multitasking Optimization

Author(s): Genghui Li, Qingfu Zhang, Zhenkun Wang

Pages: 278 - 289

8) Evolutionary Multitask Optimization With Adaptive Knowledge Transfer

Author(s): Hao Xu, A. K. Qin, Siyu Xia

Pages: 290 - 303

9) Solving Multitask Optimization Problems With Adaptive Knowledge Transfer via Anomaly Detection

Author(s): Chao Wang, Jing Liu, Kai Wu, Zhaoyang Wu

Pages: 304 - 318

10) Evolutionary Many-Task Optimization Based on Multisource Knowledge Transfer

Author(s): Zhengping Liang, Xiuju Xu, Ling Liu, Yaofeng Tu, Zexuan Zhu

Pages: 319 - 333

11) Multifactorial Evolutionary Algorithm Based on Improved Dynamical Decomposition for Many-Objective Optimization Problems

Author(s): Jun Yi, Wei Zhang, Junren Bai, Wei Zhou, Lizhong Yao

Pages: 334 - 348

12) Hypervolume-Optimal μ-Distributions on Line/Plane-Based Pareto Fronts in Three Dimensions

Author(s): Ke Shang, Hisao Ishibuchi, Weiyu Chen, Yang Nan, Weiduo Liao

Pages: 349 - 363

13) Real-Time Federated Evolutionary Neural Architecture Search

Author(s): Hangyu Zhu, Yaochu Jin

Pages: 364 - 378

14) Indicator-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems

Author(s): Jiawei Yuan, Hai-Lin Liu, Yew-Soon Ong, Zhaoshui He

Pages: 379 - 391

15) A Multifidelity Approach for Bilevel Optimization With Limited Computing Budget

Author(s): Mohammad Mohiuddin Mamun, Hemant Kumar Singh, Tapabrata Ray

Pages: 392 - 399

Saturday, April 2, 2022

IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 6, Issue 2, April 2022

1) A Survey of Embodied AI: From Simulators to Research Tasks

Author(s): Jiafei Duan, Samson Yu, Hui Li Tan, Hongyuan Zhu, Cheston Tan

Pages: 230 - 244

2) Resource Offload Consolidation Based on Deep-Reinforcement Learning Approach in Cyber-Physical Systems

Author(s): M. S. Mekala, Alireza Jolfaei, Gautam Srivastava, Xi Zheng, Amjad Anvari-Moghaddam, P. Viswanathan

Pages: 245 - 254

3) An Enhanced Adaptivity of Reinforcement Learning-Based Temperature Control in Buildings Using Generalized Training

Author(s): Vincent Taboga, Amine Bellahsen, Hanane Dagdougui

Pages: 255 - 266

4) Smart Sensor Control for Rehabilitation in Parkinson's Patients

Author(s): Behnam Faraji, Meysam Gheisarnejad, Zahra Esfahani, Mohammad-Hassan Khooban

Pages: 267 - 275

5) Energy-Based Dropout in Restricted Boltzmann Machines: Why Not Go Random

Author(s): Mateus Roder, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, André L. D. Rossi, João P. Papa

Pages: 276 - 286

6) Learning Sparse Neural Networks Using Non-Convex Regularization

Author(s): Mohammad Khalid Pandit, Roohie Naaz, Mohammad Ahsan Chishti

Pages: 287 - 299

7) Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning

Author(s): Zedong Tang, Maoguo Gong, Yu Xie, Hao Li, A. K. Qin

Pages: 300 - 314

8) Matrix-Based Evolutionary Computation

Author(s): Zhi-Hui Zhan, Jun Zhang, Ying Lin, Jian-Yu Li, Ting Huang, Xiao-Qi Guo, Feng-Feng Wei, Sam Kwong, Xin-Yi Zhang, Rui You

Pages: 315 - 328

9) AdaSwarm: Augmenting Gradient-Based Optimizers in Deep Learning With Swarm Intelligence

Author(s): Rohan Mohapatra, Snehanshu Saha, Carlos A. Coello Coello, Anwesh Bhattacharya, Soma S. Dhavala, Sriparna Saha

Pages: 329 - 340

10) Angle-Based Multi-Objective Evolutionary Algorithm Based On Pruning-Power Indicator for Game Map Generation

Author(s): Lianbo Ma, Shi Cheng, Mingli Shi, Yinan Guo

Pages: 341 - 354

11) Multi-Objective Feature Selection With Missing Data in Classification

Author(s): Yu Xue, Yihang Tang, Xin Xu, Jiayu Liang, Ferrante Neri

Pages: 355 - 364

12) Multiobjective Demand Response for Internet Data Centers

Author(s): Wei-Yu Chiu, Wei-Kang Hsieh, Chia-Ming Chen, Yu-Chieh Chuang

Pages: 365 - 376

13) Data-Driven Type-2 Fuzzy Sets for Tasks Management at the Edge

Author(s): Kostas Kolomvatsos

Pages: 377 - 386

14) Robust Multi-Label Relief Feature Selection Based on Fuzzy Margin Co-Optimization

Author(s): Qiongdan Lou, Zhaohong Deng, Kup-Sze Choi, Hongbin Shen, Jun Wang, Shitong Wang

Pages: 387 - 398

15) Modeling and Control of Probabilistic Fuzzy Discrete Event Systems

Author(s): Feng Lin, Hao Ying

Pages: 399 - 408

16) On Complex Fuzzy S-Implications

Author(s): Scott Dick

Pages: 409 - 415

Friday, April 1, 2022

IEEE Transactions on Artificial Intelligence, Volume 3, Issue 2, April 2022

1) Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning

Author(s): Inaam Ilahi, Muhammad Usama, Junaid Qadir, Muhammad Umar Janjua, Ala Al-Fuqaha, Dinh Thai Hoang, Dusit Niyato

Pages: 90 - 109

2) Negative Selection Algorithm Research and Applications in the Last Decade: A Review

Author(s): Kishor Datta Gupta, Dipankar Dasgupta

Pages: 110 - 128

3) Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison

Author(s): Coen de Vente, Luuk H. Boulogne, Kiran Vaidhya Venkadesh, Cheryl Sital, Nikolas Lessmann, Colin Jacobs, Clara I. Sánchez, Bram van Ginneken

Pages: 129 - 138

4) Deep Q-Learning: Theoretical Insights From an Asymptotic Analysis

Author(s): Arunselvan Ramaswamy, Eyke Hüllermeier

Pages: 139 - 151

5) Delayed Reward Bernoulli Bandits: Optimal Policy and Predictive Meta-Algorithm PARDI

Author(s): Sebastian Pilarski, Slawomir Pilarski, Dániel Varró

Pages: 152 - 163

6) Development of an Optimal Entropy Classifier and Prudent Learning Model

Author(s): Jyotsana Grover, Madasu Hanmandlu

Pages: 164 - 175

7) Decomposition-Based Classifier Chains for Multi-Dimensional Classification

Author(s): Bin-Bin Jia, Min-Ling Zhang

Pages: 176 - 191

8) ANIMC: A Soft Approach for Autoweighted Noisy and Incomplete Multiview Clustering

Author(s): Xiang Fang, Yuchong Hu, Pan Zhou, Dapeng Wu

Pages: 192 - 206

9) KAM-Net: Keypoint-Aware and Keypoint-Matching Network for Vehicle Detection From 2-D Point Cloud

Author(s): Tianpei Zou, Guang Chen, Zhijun Li, Wei He, Sanqing Qu, Shangding Gu, Alois Knoll

Pages: 207 - 217

10) Adaptive Finite-Time Neural Constrained Control for Nonlinear Active Suspension Systems Based on the Command Filter

Author(s): Lei Liu, Changqi Zhu, Yan-Jun Liu, Shaocheng Tong

Pages: 218 - 227

11) Event-Triggered Optimal Control for the Continuous Stirred Tank Reactor System

Author(s): Wei Zhou, Jun Yi, Lizhong Yao, Guorong Chen

Pages: 228 - 237

12) Fine-Grained Food Classification Methods on the UEC FOOD-100 Database

Author(s): Berker Arslan, Sefer Memiş, Elena Battini Sönmez, Okan Zafer Batur

Pages: 238 - 243

13) Robust Scale-Aware Stereo Matching Network

Author(s): James Okae, Bohan Li, Juan Du, Yueming Hu

Pages: 244 - 253

14) Design and Implementation of a Vision- and Grating-Sensor-Based Intelligent Unmanned Settlement System

Author(s): Hong-Bo Zhang, Yi-Zhong Zhou, Li-Jia Dong, Qing Lei, Ji-Xiang Du

Pages: 254 - 264

15) Stand-Alone Composite Attention Network for Concrete Structural Defect Classification

Author(s): Gaurab Bhattacharya, Niladri B. Puhan, Bappaditya Mandal

Pages: 265 - 274

16) Estimation and Applications of Quantiles in Deep Binary Classification

Author(s): Anuj Tambwekar, Anirudh Maiya, Soma Dhavala, Snehanshu Saha

Pages: 275 - 286

17) Fault Diagnosis of Machines Using Deep Convolutional Beta-Variational Autoencoder

Author(s): Gaurav Dewangan, Seetaram Maurya

Pages: 287 - 296

18) Character-Level Street View Text Spotting Based on Deep Multisegmentation Network for Smarter Autonomous Driving

Author(s): Chongsheng Zhang, Yuefeng Tao, Kai Du, Weiping Ding, Bin Wang, Ji Liu, Wei Wang

Pages: 297 - 308

19) A Support Vector Neural Network for P300 EEG Signal Classification

Author(s): Zhijun Zhang, Guangqiang Chen, Siyuan Chen

Pages: 309 - 321

Monday, March 28, 2022

How to get hired in academia

I've recently left my job as Head of School to become a lecturer in AI and software engineering. After nearly ten years as Head, I have had to go through the process of hiring academic staff several times. Now that I am no longer involved in doing this, I am able to write this post about how to get hired as an academic, from the point of view of the one doing the hiring. Bear in mind that this is what worked for people to get hired by me, and might not work with other managers.

Firstly, I need to say that if you're looking for an academic job, don't bother with the "blanket bombing" approach of just emailing every Head of School / Head of Department that you can find in a simple Google search, asking them for a job. Every time I received one of these emails, I deleted it. This was especially true for new PhD graduates looking for postdoc positions. Firstly, the institution I was at did not have funding for postdocs. Secondly, most of the emails I received were from ecology graduates. Yes, I have published a number of papers in ecology, but anyone who had spent more than 30 seconds investigating my institution and myself would have found out that I'm not an ecologist.

The first part of the hiring process, from the point of view of the applicant, is advertising the position. Places advertise because they have a hole in their staffing, so they need to hire someone to fill that hole. If they don't have a hole, they don't need to hire anyone. If you see a position advertised that interests you, make sure you do two things:

Read the position description.
Follow the application process.

The position description lays out everything about the role: what qualifications the applicants will have; what experience is required; and what specific skills the employer is looking for. This is a wish list. While someone who genuinely meets every one of the criteria will have a better chance of being successful, employers can be a bit flexible in that an applicant who is otherwise outstanding but doesn't meet all the criteria could also be attractive to them. On the other hand, if someone does not meet most or all of the criteria, then they won't have any chance at all. Their application will be skimmed and discarded. Applying for a position "on the off-chance" that you might get somewhere is ill-advised and mostly leads to wasted time. This is especially true if HR is doing the initial evaluation of the applications, as HR is less likely to have the domain knowledge to tell if an applicant is worth interviewing. In other words, HR will be looking for keywords and rejecting applications that don't have those keywords. I always reviewed applications myself, but being at a smaller institution I could do that.

Applicants must follow the application process. I have encountered cases in the past where the applicant sent their application to me directly. This is a big no-no, as recruitment is handled by HR, so HR should be receiving the applications. It also shows me that the applicant is either too careless to read the instructions for the application process, or they think the rules don't apply to them. Obviously, the rules apply to everyone, and any deviation from them is a bad thing as it opens the employer up to accusations of bias or favoritism, which can have legal consequences.

The process of reviewing applications is intended to identify the few (five or six) applicants who will progress to the interview stage. This really means that for each application, the reviewers need to be able to answer one fundamental question: can this person do the job?

When reviewing applications I always liked to read the cover letter first. This means that your cover letter should address the selection criteria for that position. If you can explicitly address every criterion in your cover letter, do so. This will help to make the point that you are able to do the job and make it easier for the application reviewers to answer the question above. While one page is best, close to two pages could be acceptable if you have a lot to say about your relevance to the position. Cover letters should be well-written and free of spelling and grammatical errors. After all, if I were recruiting for an academic position teaching at tertiary level, I expect someone to be intelligent enough and detail-oriented enough that they can use a spell checker and proof-read their application.

The curriculum vitae (CV) lists what you have done in your career so far. This should be up to date and detailed, however the first page should summarise the details in the remainder of the document. I never had any preference for any particular format, although I do prefer things to be simple and straight-forward. Fancy formatting never impressed me, I was only ever interested in the information contained in it. Personal statements or statements of career goals also never interested me, and in cases where these statements did not align with the position I was recruiting for they actually harmed the applicant's chances. CV should also be free of grammatical and spelling errors.

Since I was always recruiting for teaching positions, I always looked for teaching experience. This didn't mean that someone had had to already worked as a lecturer: if they were a new PhD graduate, then experience tutoring undergrads was sometimes good enough. But I would not look at someone who did not have any teaching experience at all. I also favoured people with PhDs. This was not because I thought that having a PhD made someone a better teacher, but because having a PhD showed that they could do research. It is a legal requirement in New Zealand that the teaching of degrees or above (Bachelor's or postgraduate qualifications) be done mostly by those who are research active. There is also an expectation that teaching of postgraduate qualifications be done by those with a qualification one level higher than that being taught. Since we were teaching Master's degrees, that meant the teachers needed PhDs.

The one thing you absolutely must not do is claim that you are something you are not. This can be claiming to have a skill you don't have, experience you didn't get or a qualification you don't have. This kind of thing can be found out pretty easily these days, often with a simple Google search. This also means that you should be careful about what you put online, as a potential employer will find something controversial and it will harm your chances of employment.

Be careful about bragging too much in your application. New Zealand culture especially values humility and discourages bragging. It's enough to list your accomplishments, you don't need to decorate them with adjectives like "exceptional" or "outstanding". You might think you're great, but so does everyone else applying for that job.

If your application has convinced the reviewers that you could do the job, you will be invited to an interview. These used to be face-to-face or over the phone, but now technology is good enough that an online interview is just as good. Make sure that you are on time to the interview, and do your homework first! This means finding out as much as you can about the institution, the role that you are interviewing for, and the people doing the interview.

The purpose of an interview is to answer two questions:

Can you really do what you claim in your application?
Could I stand working with you?

Regarding the first question, you can expect to be asked some questions related to the topics you claim knowledge about. I always liked to gently probe an applicant's knowledge with some questions about specific technologies or approaches. If you don't understand a question, it is better to ask for clarification than to burble on with a clueless half-answer. If you don't know the answer, it is better to just say that you don't know but could find out.

Regarding the second question, that comes from your attitude during the interview, and the way you answer questions. I once interviewed someone who was very well qualified and had a lot of experience, but their attitude during the entire interview was just screaming that they didn't want to be there. They didn't get the position, because I knew that if I had hired them, in six months either I would be trying to get rid of them, or they would move on to someplace else.

Personally, the three qualities I value the most in someone I work with are:

Competence
Hard work
Straightforwardness

Applicants who could demonstrate those three qualities in an interview were much more likely to be successful than those who did not. Regarding the third quality, straightforwardness, I always asked a "filter" question to establish this quality. An applicant who answered that question correctly would probably get the job. An applicant who gave the wrong answer, would not.

When all of the interviews have been completed, a decision will be made about which applicant will receive an offer. Do not email or otherwise bug the people who interviewed you about the outcome! You will just annoy them.

If the decision goes your way, then you will receive an offer. This means that they want to hire you, so now is the time to negotiate the conditions of the position. Don't be afraid to ask for a bit more money, they want you, so it doesn't hurt to ask. The worst they will say is "no", they are extremely unlikely to withdraw the job offer just because you asked for more money.

If you end up not getting an offer, it doesn't mean you're not good at what you do, or that people don't like you. It just means that there was someone there who was better than you for that particular role. There have been cases in the past where someone didn't even get to the interview stage the first time they applied for a job with me, but when they applied for another position later on, they got the job.

Job hunting in general is brutal and at times demoralising, and more so in academia. There are many more qualified people than there are permanent academic positions, so someone is always going to miss out. Hold on to the reasons why you want to be an academic, and keep applying.

Computational Intelligence

Tuesday, May 17, 2022

Complex & Intelligent Systems, Volume 8, issue 2, April 2022

Monday, May 16, 2022

IEEE Transactions on Neural Networks and Learning Systems, Volume 33, Issue 5, May 2022

Sunday, May 15, 2022

Conference Paper Deadline: IEEE LA-CCI 2022

Saturday, May 14, 2022

Conference paper deadline: ICISCI 2022

Thursday, May 12, 2022

Conference paper deadline: IEEE SSCI 2022

Wednesday, May 11, 2022

Conference paper deadline: ACAIT 2022

Tuesday, May 10, 2022

Conference paper deadline: IEEE CIBCB 2022

Friday, May 6, 2022

Weekly Review 6 May 2022

IEEE Transactions on Fuzzy Systems, Volume 30, Issue 5, May 2022

Friday, April 29, 2022

Weekly Review 29 April 2022

Thursday, April 21, 2022

Soft Computing, Volume 26, Issue 10, May 2022

Wednesday, April 20, 2022

Soft Computing, Volume 26, issue 9, May 2022

Tuesday, April 5, 2022

IEEE Transactions on Fuzzy Systems, Volume 30, Issue 4, April 2022

Monday, April 4, 2022

IEEE Transactions on Evolutionary Computation, Volume 26, Issue 2, April 2022

Saturday, April 2, 2022

IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 6, Issue 2, April 2022

Friday, April 1, 2022

IEEE Transactions on Artificial Intelligence, Volume 3, Issue 2, April 2022

Monday, March 28, 2022

How to get hired in academia

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