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SULEIMAN M. S. BANI HANI
Faculty of Engineering
SULEIMAN M. S. BANI HANI
Faculty of Engineering
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Welcome to the Hashemite University faculty staff website.
Suleiman .M .S BaniHani
Professor
Mechanical Engineering
Artificial Intelligence
Faculty of Engineering
Department of Mechatronics Engineering
banihani@hu.edu.jo
http://staff.hu.edu.jo/banihani
ORCID ID :
291262457
Office No. :
3031
EXT :
4449
C.V. Document file as PDF:
Ph.D.
Rensselaer Polytechnic Institute (RPI)
The United States of America,2007
Master
Rensselaer Polytechnic Institute (RPI)
The United States of America,2004
Bachelor
Jordan University for Science and Technology
Jordan,2002
Artificial Intelligence Applying genetic algorithms for numerical integration on complex domains for meshfree methods. Applying fuzzy logic and neural networks for nonlinear control problems. Using genetic algorithms for optimal control problems. Numerical integration in R3: In this thesis we discuss efficient techniques for numerical integration in R1 and R2. The next step is to expand numerical integration for the method of finite spheres to three-dimensions. Three-dimensional numerical integration on an arbitrary domain is the first step in applying the method of finite spheres to more realistic and complex problems. • Application to large deformation and fracture problems: One of the key advantages to the method of finite spheres is the potential to model problems with large deformation and fracture without the need for remeshing. Our next step in this research is to advance the computational technology to handle such problems. The use of the lookup table approach for the total Lagrangian technique is straightforward. However, its use with the updated Lagrangian formulation would require further work. • Application to multiscale problems: Although there is significant research to develop continuum theories for problems with micron and nano scale, most of these theories cannot cover the wide range of material behavior at the different length scales. Multiscale modeling is being widely investigated because of its ability to describe and model material behavior at deferent length scales, and using meshfree methods such as the method of finite spheres offer a great flexibility for adopting and incorporating different models and material behavior. There are two ways the new integration method may be used to advantage. In hierarchical multiscale methods such as the ones based on asymptotic homogenization and structural enrichment-based techniques, highly complex domain integrals arise which may be efficiently computed using this method. In concurrent multiscale methods, where continuum and atomistic methods are coupled in a single simulation scheme, the new integration approach may be used for the continuum for seamless message passing to and from the nonlocal parts of the computational domain. • Application to other meshfree methods: Most meshfree methods use rational nonpolynomial interpolation functions and the integration domains are usually more complex the in the traditional finite element method. Using the new numerical integration method with different meshfree methods will result in a more efficient approximation schemes and will open the opportunity to explore the potential of these methods.
Conferences • Macri M., BaniHani S., Aslam A. and De S. Some Recent Advances in the Method of Finite Spheres: Practical Implementation, Stability Analysis and Application to Multiscale Modeling. Third International Workshop Meshfree Methods for Partial Differential Equations, 2005. • BaniHani S. and De S. Development of a genetic algorithm-based lookup table approach for efficient numerical integration in the method of finite spheres with application to the solution of beam and plate problems. Third M.I.T. Conference on Computational Fluid and Solid Mechanics, 2005. • BaniHani S. and De S. The solution of functionally graded plate problems using the method of finite spheres and a genetic algorithm-based numerical integration approach. 7th World Congress for Computational Mechanics, 2006. • Numerical Inf-Sup test of the method of finite spheres for the solution of plate problems, US National Congress on Computational Mechanics, 2007. • S. BaniHani, A. Al-Jarrah, S. Mutawe and M. Hayajneh, "A genetic based reinforcement neurocontroller for dual arm planar robot," 2018 11th International Symposium on Mechatronics and its Applications (ISMA), 2018, pp. 1-7, doi: 10.1109/ISMA.2018.8330137. • S. Mutawe, M. Hayajneh and S. BaniHani, "Robust Path Following Controllers for Quadrotor and Ground Robot," 2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), 2021, pp. 1-6, doi: 10.1109/ICECCE52056.2021.9514140. Journal papers • BaniHani S. and De S. Development of a genetic algorithm-based lookup table approach for efficient numerical integration in the method of finite spheres with application to the solution of thin beam and plate problems. International Journal for Numerical Methods in Engineering, V67 no. 12, 2006, pp 1700-1729 . • BaniHani S. and De S. A computationally efficient technique for the solution of Timoshenko beam and Mindlin-Reissner plate problems using the method of finite spheres. International Journal of Computational Methods, V 3 No.4, 2006, pp 465- 501. • BaniHani S. and De S. On the evaluation of the method of finite spheres for the solution of Reissner-Mindlin plate problems using the numerical inf-sup test. International Journal for Numerical Methods in Engineering, V70 No 11, 2007, pp1366-1386. • BaniHani S. and De S. Method of finite spheres solution of micron-scale plasticity based on a strain gradient formulation, Computers and Structures, V86 No 23-24. 2008, pp 2109-2122. • BaniHani S. and De S. A comparison of some model order reduction methods for fast simulation of soft tissue response using the point collocation method of finite spheres (PCMFS), Engineering with Computers, V. 25 No.1, 2009, pp 37-47. • Banihani S, Dutkin M, Ali S, Arikatla VS, Sankaranarayanan G, De S. Plug-and-Play Tool Handles for Laparoscopic Surgery Simulators. Stud Health Technol Inform. 2009;142:28-30. • Al-Araidah O., Batayneh W., Darabseh T, BaniHani S., 2010, "Conceptual Design of a Single DOF Human-Like Eight-Bar Leg Mechanism". Jordan Journal of Mechanical and Industrial Engineering, V. 5 No. 4, 2011 pp 285 - 289. • Ababneh M., Al-Jarrah A., Al-Widyan K., BaniHani S.” Variable Structure Controller Schemes Based on Work and Energy Principle for SIMO Systems” ". Jordan Journal of Mechanical and Industrial Engineering, V.5 No 5, 2011, pp 407- 417. • BaniHani S., Al-Widyan K., Al-Jarrah A., Ababneh M., “A Genetic Algorithm Based Lookup Table Approach for Optimal Stepping Sequence of Open Loop Stepper Motor Systems” J. Control Theory Appl. (2013) 11: 35. • AlMomani T, Vigmostad SC, Chivukula VK, Al-zube L, Smadi O, BaniHani S. Red blood cell flow in the cardiovascular system: a fluid dynamics perspective, Crit Rev Biomed Eng. 2012;40(5):427-40. • BaniHani S., Rabczuk T., Almomani T., POD for real time simulation of hyperelastic soft biological tissue using the point collocation method of finite spheres, Mathematical Problems in Engineering., 2013. • Al-Jarrah, A, Salah, M, Banihani, S. Applications of various control schemes on a four-bar linkage mechanism driven by a geared DC motor. WSEAS Trans Syst Contr 2015; 10: 584–597. • Al-Jarrah, A., Ababneh, M., Bani Hani, S., Al-Widyan, K., Synchronization of Chaotic Systems with Uncertain Time-Varying Parameters, (2015) International Review of Mechanical Engineering (IREME), 9 (6), pp. 568-575. • Almomani T., Bani-Hani S., Bdour A., Alsaraira A., Smadi O., Al-Jarrah A., Abdallat R, Awad S. Influence of erythrocyte shape on platelet scattering towards vessel wall, International Journal of Biomedical Engineering and Technology 2016 21:3, 264-278. • Ababneh, M., Al-Jarrah, A., Sha'ban, H., BaniHani, S., Al-Jarrah, A., AlMomani, T., AlHammad, Y., Recovering Waste Heat from Automobile Engine Using Thermoelectric Power Generators, (2017) International Review of Mechanical Engineering (IREME), 11 (11), pp. 845-854. • Salah, M., Al-Jarrah, A., Tatlicioglu, BaniHani, S. Robust Backstepping Control for a Four-Bar Linkage Mechanism Driven by a DC Motor. Journal of Intelligent and Robotic Systems: Theory and Applications, 2019, 94(2), pp. 327–338. • T AlMomani, S BaniHani, S Awad, M Al-Abed, H AlMomani, M Ababneh, PULSATILE FLOW, MICRO-SCALE ERYTHROCYTE-PLATELET INTERACTION, International Journal of Biomedical Engineering and Technology, Accepted. • Hayajneh, M. Ababneh, M. Bani Hani, S. Mutawe, S. Simulation of Trajectory Tracking and Motion Coordination for Multi-Robots System, Advances in Engineering Software , Submitted. • Al-Tamimi A., BaniHani S., AL-Jarrah A. Neural Network Approximation for Discrete-Time Nonlinear HJB Solution: Convergence Proof. Acta Automatica Sinica, Submitted. • Banihani, Suleiman; Hayajneh, Mohammad; Al-Jarrah, Ahmad; Mutawe, Samer. New Control Approaches for Trajectory Tracking and Motion Planning of Unmanned Tracked Robot. Advances in Electrical & Electronic Engineering. Mar 21, Vol. 19 Issue 1, p42-56. 15p. • AlMomani, T., BaniHani, S., Smadi, O., et.al. The influence of internal carotid artery off-plane angle on the hemodynamics of blood flow in the carotid artery. Jordan Journal of Mechanical and Industrial Engineering, 2019, 13(3), pp. 141–148. • Mutawe, Samer; Hayajneh, Mohammad; Banihani, Suleiman. Simulation of Trajectory Tracking and Motion Coordination for Heterogeneous Multi-Robots System. Jordan Journal of Mechanical and Industrial Engineering, 2021, 15(4), pp. 337 – 345. Book Chapters • S. BaniHani, S. De. “Genetic Algorithms for Meshfree Numerical Integration” Chapter in Meshfree Methods for Partial Deformational Equations III(Lecture Notes in Computational Science and Engineering), M. Griebel and M.A. Schweitzer ed., Springer, 2007.
• Talal Al Sulaili, New technologies in roads and highways maintenance operations and ability to be applied in Kuwait, HU, 2019. • Mohammad Al-Tarawneh. Creative Chaos, Sustainable Security in The Middle East, HU, 2019.
• Digital Control • Hydraulic and Pneumatic Control Systems • Computer Aided Design • Automatic Control • Microprocessors and Microcontrollers • Digital Logic and Digital Electronics • Autotronics • Mechatronics Systems Lab • Process Control Lab • Control and Transducers Lab • Logic and Electronics Lab • Microprocessors and Microcontrollers Lab • Engineering Ethics and Technical Writing
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