AK Nagar
Also known as: AK Nagar; Atulya K Nagar, A Nagar
Liverpool Hope University, Brunel University of London, University of York, Maharshi Dayanand Saraswati University
Research areas: Computer Science · Artificial Intelligence · Metaheuristic Optimization Algorithms Research · EEG and Brain-Computer Interfaces · semigroups and automata theory
About
I hold the Foundation Chair as Professor of Mathematical Sciences at Liverpool Hope University where I am the Pro-Vice-Chancellor for Research and also Dean of Faculty of Science. I have been the Head of School of Mathematics, Computer Science and Engineering since December 2007. A mathematician by training, I possess multi-disciplinary expertise in Nonlinear Mathematics, Natural Computing, Bio-Mathematics and Computational Biology, Operations Research, and Control Systems Engineering. I have an extensive background and experience of working in Universities in the UK and India. I have been an expert reviewer for the Biotechnology and Biological Sciences Research Council (BBSRC) grants peer-review committees for Bioinformatics Panel; Engineering and Physical Sciences Research Council (EPSRC) for High Performance Computing Panel; and serve on the Peer-Review College of the Arts and Humanities Research Council (AHRC) as a scientific expert member.
I have edited volumes on Intelligent Systems, and Applied Mathematics; I am the Editor-in-Chief of the International Journal of Artificial Intelligence and Soft Computing (IJAISC) and serve on editorial boards for a number of prestigious journals such as the Journal of Universal Computer Science (JUCS). I have been Conference General Chair and member of the International Programme Committee (IPC) for several international conferences and have been invited to deliver keynote lectures at a number of such forums. I am well published with over 200 publications in prestigious publishing outlets and journals such as the Journal of Applied Mathematics and Stochastic Analysis; the International Journal of Advances in Engineering Sciences and Applied Mathematics; the International Journal of Foundations of Computer Science; the IEEE Transactions on Systems, Man, and Cybernetics; Discrete Applied Mathematics; Fundamenta Informaticae; IET Control Theory & Applications, to name a few.
I received a prestigious Commonwealth Fellowship for pursuing my Doctorate (DPhil) in Applied Non-Linear Mathematics, which I earned from the University of York in 1996. I hold BSc (Hons.), MSc, and MPhil (with Distinction) from the MDS University of Ajmer, India. Prior to joining Liverpool Hope, I was with the Department of Mathematical Sciences, and later at the Department of Systems Engineering, at Brunel University, London. Earlier I lectured at the Tata Institute of Fundamental Research (TIFR, Applied Mathematics, Bangalore), BITS Pilani and the Indian Institute of Technology (IITs) in India.
Employment
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Liverpool Hope University Pro Vice-Chancellor for Research at Liverpool Hope University2019 - Present
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Liverpool Hope University Professor of Mathematical Sciences and Dean of the Faculty of Science2014 - 2020
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Liverpool Hope University Professor of Mathematical Sciences and Head of School of Mathematics, Computer Science and Engineering2008 - Present
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Liverpool Hope University Associate Professor2005 - 2008
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Liverpool Hope University Senior Lecturer2001 - 2005
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Brunel University Post Doctoral Research Associate1997 - 2001
Education
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University of York DPhil in Applied Non-linear Mathematics (Recipient of Commonwealth Fellowship Award)1993 - 1996
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Maharshi Dayanand Saraswati University MPhil with Distinction1990 - 1991
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Maharshi Dayanand Saraswati University MSc in Pure and Applied Mathematics1988 - 1990
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Maharshi Dayanand Saraswati University BSc (Honours) in Mathematics and Physics1985 - 1988
Projects & Funding
Projects & funding information is unavailable.
Publications (348)
- Computation of certain topological indices of star hexagon network Save
- Modeling Astrocyte-Driven Repair of Visuomotor Deficits in Alzheimer's Thalamic Circuitry Save
- Colon cancer survival prediction from gland shapes within histology slides using deep learning Save
- Assessment of Scientific Creative-Potential by Near-Infrared Spectroscopy Using Brain-Network-Based Deep-Fuzzy Classifier Save
- Colon Cancer Survival Prediction from Epithelium Nuclei Morphological Features Within Histology Slides Using Deep Learning Save
- EEG and EMG Induced Pain-Sensitive Learning Controller for Robotic Knee Rehabilitation Using Deep Learning Save
- Multi-modal Medical Image Fusion: An Analysis of Three Metaheuristic Optimization Algorithms Save
- Cognitive Assessment of Scientific Creative Skill by Brain-Connectivity Analysis Using Graph Convolutional Interval Type-2 Fuzzy Network Save
- On Multi-image Random Grids by Arbitrary Transformations Save
- Installation of Smog-Free Towers Using Novel Real Coded Genetic Algorithm Save
- Artificial Intelligence for the Social Internet of Things: Analysis and Modeling Using Collaborative Technologies [Special Section Editorial] Save
- YOLO-based segmented dataset for drone vs. bird detection for deep and machine learning algorithms Save
- Cyber attack evaluation dataset for deep packet inspection and analysis Save
- A New Class of Graph Grammars and Modelling of Certain Biological Structures Save
- Intent Prediction in Human–Human Interactions Save
- Minimization of Molecular Potential Energy Function Using Laplacian Salp Swarm Algorithm (LX-SSA) Save
- Olfactory Perceptual-Ability Assessment by Near-Infrared Spectroscopy Using Vertical-Slice Based Fuzzy Reasoning Save
- Analyzing the Prospects of Blockchain in Healthcare Industry Save
- EEG-Induced Autonomous Game-Teaching to a Robot Arm by Human Trainers Using Reinforcement Learning Save
- Explainable Artificial Intelligence for the Social Internet of Things: Analysis and Modeling Using Collaborative Technologies [Special Section Editorial] Save