FACULTY
Learning from some of the best minds in education and in the industry
Prof. Ajith Abraham
Dean – Faculty of Computing and Data Sciences
Email: ajith.abraham@flame.edu.in
Ph.D. in Computer Science | Monash University, Melbourne, Australia;
Master of Science in Control and Automation, Nanyang Technological University, Singapore;
B.Tech in Electrical and Electronic Engineering from University of Calicut, Kerala, India.
BIO
Prof. Abraham received his PhD in Computer Science from Monash University, Melbourne, Australia. He has a Master of Science in Control and Automation from Nanyang Technological University, Singapore. He holds a Bachelor’s Degree in Electrical and Electronic Engineering from the University of Calicut, Kerala, India.
He has over 32 years of industry and academic experience. His primary research is on developing advanced machine intelligence using hybridization of function approximation methods, approximate reasoning and global optimization methods focused on big data analytics, understanding networks, information security, Web intelligence, decision support systems, the Internet of Things, etc.
He is the Founding Director of Machine Intelligence Research Labs, a not-for-profit Scientific Network for Innovation and Research Excellence connecting industry and academia. He has authored or co-authored more than 1,400 research publications. He was the Chair of the IEEE Systems Man and Cybernetics Society’s Technical Committee on Soft Computing and served as a Distinguished Lecturer of the IEEE Computer Society, representing Europe. He was the Editor-in-Chief of Engineering Applications of Artificial Intelligence (EAAI), which is a 30+-year-old journal established by the International Federation on Automatic Control. He has also served on the editorial board of over 15 international journals indexed by Thomson ISI. His teaching experience deals with a wide variety of artificial intelligence courses, data mining, and core computer science courses like operating systems, computer architecture, and data structures.
RESEARCH & PUBLICATIONS
Books
- Crina Grosan and Ajith Abraham, Intelligent Systems: A Modern Approach, Intelligent Systems Reference Library Series, Springer Verlag, Germany, ISBN 978-3-642-21003-7, 450 p., 2011.
- Yuehui Chen and Ajith Abraham , Tree-Structure based Hybrid Computational Intelligence: Theoretical Foundations and Applications, Intelligent Systems Reference Library Series, Springer Verlag, Germany, ISBN: 978-3-642-04738-1, 200 p. 2009.
Journal papers
- Pradeep Kumar Das, Sukadev Meher, Rutuparna Panda, Ajith Abraham, An Efficient Blood- Cell Segmentation for the Detection of Hematological Disorders, IEEE Transactions on Cybernetics, 52(10): 10615-10626, 2022.
- Rajni Aron, Ajith Abraham, Resource scheduling methods for cloud computing environment: The role of meta-heuristics and artificial intelligence, Engineering Applications of Artificial Intelligence, 116, 105345, 2022.
- Lakshmana Rao Kalabarige, Routhu Srinivasa Rao, Ajith Abraham, Lubna Gabralla, Multilayer Stacked Ensemble Learning Model to Detect Phishing Websites, IEEE Access, 10:79543-79552, 2022.
- Norfadzlia Mohd Yusof, Azah Kamilah Mudab, Satrya Fajri Pratama, Ramon Carbo-Dorca, Ajith Abraham, Improved swarm intelligence algorithms with time-varying modified Sigmoid transfer function for Amphetamine-type stimulants drug classification, Chemometrics and Intelligent Laboratory Systems, 104574, 2022.
- Sukhpal Singh Gill, Minxian Xu, Carlo Ottaviani, Panos Patros, Rami Bahsoon, Arash Shaghaghi, Muhammed Golec, Vlado Stankovski, Huaming Wu, Ajith Abraham, Manmeet Singh, Harshit Mehta, Soumya Ghosh, Thar Baker, Ajith Kumar Parlikad, Hanan Lutfiyya, Salil S Kanhere, Rizos Sakellariou, Schahram Dustdar, Omer Rana, Ivona Brandic, Steve Uhlig, AI for next generation computing: Emerging trends and future directions, Internet of Things, 100514, 2022.
- Liping Yang, Xin Jiang, Yiming Jia, Hua Wang, Ajith Abraham, Hongbo Liu, Gated graph convolutional network based on spatio-temporal semi-variogram for link prediction in dynamic complex network, Neurocomputing, 505: 289-303, 2022.
- Arushi Jain, Annavarapu Chandra Sekhara Rao, Praphula Kumar Jain, Ajith Abraham, Multi-type skin diseases classification using OP-DNN based feature extraction approach, Multimedia Tools and Applications, 81: 6451–6476, 2022.
- Dalia Yousri, Mohamed Abd Elaziz, Diego Oliva, Ajith Abraham, Majed Alotaibi, Md Alamgir Hossain, Fractional-order comprehensive learning marine predators algorithm for global optimization and feature selection, Knowledge-Based Systems, 235:107603, 2022.
- Monorama Swain, Tanmaya Tapaswini Tripathy, Rutuparna Panda, Sanjay Agrawal, Ajith Abraham, Differential exponential entropy-based multilevel threshold selection methodology for colour satellite images using equilibrium-cuckoo search optimizer, Engineering Applications of Artificial Intelligence, 109:104599, 2022.
- Pawan Kumar Singh, Ram Sarkar, Ajith Abraham, Mita Nasipuri, Case Study on Handwritten Indic Script Classification: Benchmarking of the Results at Page, Block, Text-line, and Word Levels, ACM Transactions on Asian and Low-Resource Language Information Processing, ACM Press, 21(2): 1-36, 2022.
- Pranaba Mishro, Sanjay Agrawal, Rutuparna Panda, Ajith Abraham, A Survey on State-of-the-art Denoising Techniques for Brain Magnetic Resonance Images, IEEE Reviews in Biomedical Engineering, 15:184-199, 2022.
- Fariba Goodarzian, Ajith Abraham, Peiman Ghasemi, Maria Di Mascolo, Hadi Nasseri, Designing a green home healthcare network using grey flexible linear programming: heuristic approaches, Journal of Computational Design and Engineering, 8(6): 1468-1498, 2021.
- Fariba Goodarzian, Ata Allah Taleizadeh, Peiman Ghasemi, Ajith Abraham, An integrated sustainable medical supply chain network during COVID-19, Engineering Applications of Artificial Intelligence, Vol. 100,104188, 2021.
- Diogo Braga, Ana Madureira, Fabio Scotti, Vincenzo Piuri, Ajith Abraham, An intelligent monitoring system for assessing bee hive health, IEEE Access, 9:89009-89019, 2021.
- Ricardo Rios, Tatiane Nogueira, Danilo Coimbra, Tiago Lopes, Ajith Abraham and Rodrigo de Mello, Country transition index based on hierarchical clustering to predict next COVID-19 waves, Scientific Reports, 11:15271, 2021.
- Arash Geramian, Ajith Abraham, Customer classification: A Mamdani fuzzy inference system standpoint for modifying the failure mode and effect analysis based three dimensional approach, Expert Systems with Applications, 186:115753, 2021.
- Zhihao Hou, Kun Ma, Yufeng Wang, Jia Yu, Ke Ji, Zhenxiang Chen, Ajith Abraham, Attention-based learning of self-media data for marketing intention detection, Engineering Applications of Artificial Intelligence, 98:104118, 2021.
- Bo Zhang, Naiyao Wang, Zheng Zhao, Ajith Abraham, Hongbo Liu, Crowd Counting Based on Attention-Guided Multi-Scale Fusion Networks, Neurocomputing, 451:12-24, 2021.
- Arturas Kaklauskas, Ajith Abraham, Virgis Milevicius, Diurnal emotions, valence and the corona virus lockdown analysis in public spaces, Engineering Applications of Artificial Intelligence, Vol. 98, 104122, 2021.
- Robert Nshimirimana, Ajith Abraham, Gawie Nothnagel, A multi-objective particle swarm for constraint and unconstrained problems, Neural Computing and Applications, 33(17): 11355-11385, 2021.
- Nikita Jain, Deepali Virmani, Ajith Abraham, Tsunami in the last 15 years: a bibliometric analysis with a detailed overview and future directions, Natural Hazards, 106:139-172, 2021.
- Pranaba Mishro, Sanjay Agrawal, Rutuparna Panda, Ajith Abraham, A novel type-2 fuzzy C-means clustering for brain MR image segmentation, IEEE Transactions on Cybernetics, 51(8): 3901-3912, 2021.
- Arturas Kaklauskas, Ajith Abraham, Gintautas Dzemyda, Saulius Raslanas, Mark Seniut, Leva Ubarte, Olga Kurasova, Arune Binkyte-Veliene, JustasCerkauskas, Emotional, affective and biometrical states analytics of a built environment, Engineering Applications of Artificial Intelligence, 91:103621, 2020.
- Norah Saleh Alghamdi, Hanan A Hosni Mahmoud, Ajith Abraham, Samar Awadh Alanazi, Laura Garcia-Hernandez, Predicting depression symptoms in an Arabic psychological forum, IEEE Access, 8: 57317-57334, 2020.
- Houcemeddine Turki, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha, Ajith Abraham, Nature or Science: what Google Trends says, Scientometrics, 124: 1367-1385, 2020.
- Jifeng Guo, Meihui Li, Lin Wang, Bo Yang, Liangliang Zhang, Zhenxiang Chen, Shiyuan Han, Laura Garcia-Hernandez, Ajith Abraham, Estimating cement compressive strength using three-dimensional microstructure images and deep belief network, Engineering Applications of Artificial Intelligence, Vol. 88, 103378, 2020.
- Soumyadeep Kundu, Sayantan Paul, Suman Kumar Bera, Ajith Abraham, Ram Sarkar, Text line extraction from handwritten document images using GAN, Expert Systems with Applications, Vol. 140, 112916, 2020.
- Yosra Jarraya, Souhir Bouaziz, Adel Alimi, Ajith Abraham, Hierarchical fuzzy design by a multi-objective evolutionary hybrid approach, Soft Computing, 24: 6153630, 2020.
- Ajith Abraham, Edward Au, Alicio Binotto, Laura Garcia-Hernandez, Vladimir Marik, Felix Gomez Marmol, Vaclav Snasel, Thomas Strasser, Wolfgang Wahlster, Industry 4.0: Quo Vadis?, Engineering Applications of Artificial Intelligence, Vol. 87, 103324, 2020.
- Arturas Kaklauskas, W.P.S. Dias, A. Binkyte-Veliene, Ajith Abraham, I. Ubarte, O. Randil, C. Siriwardana, I. Lilld, V. Milevicius, A. Podviezko, R. Puust, Are environmental sustainability and happiness the keys to prosperity in Asian nations?, Ecological Indicators 119: 106562, 2020.
- Varun Ojha, Ajith Abraham, Vaclav Snasel, Heuristic design of fuzzy inference systems: A review of three decades of research, Engineering Applications of Artificial Intelligence, 85: 845-864, 2019.
- Andre Viebke, Suejb Memeti, Sabri Pllana, Ajith Abraham, CHAOS: a parallelization scheme for training convolutional neural networks on Intel Xeon Phi, Journal of Supercomputing, 31(S-2): 845-855, 2019.