プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Fadhil A.に依頼

United States

AI, Machine Learning & Photonics Research Consultant | Scientific Computing, Patent Analysis, Optical Systems, and Techn

プロフィール概要

I am a PhD researcher in Photonics at Oklahoma State University with a multidisciplinary background spanning Artificial Intelligence, Machine Learning, Computer Science, Physics, and Engineering. My experience includes scientific research, data analytics, optical systems, time-series forecasting, prior-art and patent analysis, and technology commercialization. I have worked on research projects involving AI-driven solutions, data acquisition systems, renewable energy applications, and software development using Python, MATLAB, TensorFlow, LabVIEW, SQL, and FPGA technologies. I provide research and technical consulting services in machine learning, scientific computing, photonics, data modeling, patent intelligence, literature reviews, and engineering problem-solving. With experience in both academic research and applied projects, I focus on delivering accurate, data-driven, and practical solutions that bridge research innovation with real-world applications.

専門分野

• ☆ Data Analysis
• ☆ Machine Learning
• ☆ Artificial Intelligence
• ☆ Renewable Energy
• ☆ Optics
• ☆ Higher Education
• ☆ User Research

サービス

• Research

Research Market Research, User Research, Gap Analysis

職務経験

Adjunct Instructure

Connors State College

8月 2022 - 12月 2025

Graduate Research Assistant

Oklahoma State University

9月 2019 - 6月 2021

Graduate Research Assistant

Oklahoma State University

8月 2020 - 5月 2021

Graduate Research Assistant

Oklahoma State University

8月 2018 - 12月 2018

Comp Tech

Oklahoma State University Stillwater

11月 2016 - 2月 2017

Comp Tech and Admin

Oklahoma State University Stillwater

8月 2015 - 9月 2016

Visitor Researcher

Oklahoma State University Stillwater

11月 2012 - 5月 2014

Faculty

University of Basrah

4月 2007 - 9月 2012

学歴

PhD in Photonics (in progress) (Physics Department)

Oklahoma State

1月 2025 - 現在

Master of Science (Computer Science)

Oklahoma State University

1月 2019 - 5月 2022

BSc (Physics)- major, (Computer Science)- minor (Physics)

Oklahoma State University Stillwater

1月 2015 - 5月 2017

PhD (Physics)

Al-Nahrain University

10月 2003 - 8月 2006

Master of Science (MSc) (Physics)

Al-Nahrain University

10月 1992 - 4月 1995

Bachelor of Science (Physics)

Al-Nahrain University

11月 1988 - 6月 1992

認定資格

• Cybersecurity for Everyone Certificate

  University of Maryland

  1月 2026 - 現在

• OKLIS Professional Development Badge

  Oklahoma State Regents for Higher Education

  1月 2025 - 現在

出版物

JOURNAL ARTICLE

[1] Umbaugh S. E., (1998) Computer Vision and Image Processing, Prentice-Hall Inc., USA [2] Vannimenus C. H., (2003) Denoising Images with Wavelets, French [3] Alka Vishwa, Shilpa Sharma, (2012) "Speckle Noise Reduction in Ultrasound Images by Wavelet Thresholding", International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 2 [4] Ghazel M., (2004) Adaptive Fractal and Wavelet Image Denoising, Ph. D. Thesis Submitted to The Electrical and Computer Engineering, University of Waterloo, Ontario, Canada [5] Kumari S. and Vijay R., (2012) "Effect of Symlet Filter Order on Denoising of Still Images", Advanced Computing: An International Journal ( ACIJ ), Vol.3, No.1 [6] Dai Fei Guo ,Wei-hong Zhu , Zhenming Gao, Jian Qiang Zhang, (2000) "A study of wavelet thresholding denoising" , 5th International Conference on Signal Processing Proceedings, WCCCICSP, pp.329-332 [7] Chang S. G., Yu B. and Vetterli M., (2000) "Adaptive Wavelet Thresholding for Image Denoising and Compression" , IEEE Trans. Image Processing, Vol. 9, No. 9, pp. 1532-1546 [8] Donoho D. L. and Johnstone I. M. , (1995) "Adapting to Unknown Smoothness via Wavelet Shrinkage", Journal of American Statistical Association, 90(432) , pp.1200 -1224 [9] Davide Maltoni, Dario Maio, Anil K. Jain and Salil Prabhakar, (2003) Handbook of fingerprint recognition, Springer-Verlag [10] Jain L.C., Halici, I.Hayashi U.,. Lee S.B and Tsutsui S., (1999) Intelligent Biometric Techniques in Fingerprint and Face Recognition, CRC Press LLC [11] Gornale S.S., Humbe V., Manza R. and Kale K.V., (2010) "Fingerprint image de-noising using multiresolution analysis (MRA) through stationary wavelet transform (SWT) method" , International Journal of Knowledge Engineering, Vol. 1, Issue 1 , pp-05-14 [12] Mun Gi Choia, Nikolas P. Galatsanosa and Aggelos K. Katsaggelosb , (1996) " Multichannel Regularized Iterative Restoration of Motion Compensated Image Sequences", Journal of Visual Communication and Image Representation, vol.7, issue 3, pp.244-258 [13] Miao X., (2000) Image Restoration: Removal of Blur Caused by Uniform Linear Motion, University of California at Berkeley International Journal on Computational Sciences & Applications (IJCSA) Vol.4, No.3, June 2014 13 [14] Aggelos K. K. , (1989) "Iterative Image Restoration Algorithm", Optical Engineering, Vol. 28, No. 7, pp. 735-748 [15] Antoniadis A. and Bigot J., (2001) "Wavelet Estimators in Nonparametric Regression: A Comparative Simulation Study", Journal of Statistical Software, Vol. 6 [16] Gonzalez R. C. and Woods R. E., (2002) Digital Image Processing, Ed. Prentice Hall. New Jersey, USA .

(2014). Computer Aided Design of a Magnetic Lens Using a Combined Dynamic Programming and Artificial Intelligence Technique. IRAQI JOURNAL OF APPLIED PHYSICS.

[1] Andries P. Engelbrecht, Computational Intelligence: An Introduction - second edition, John Wiley & Sons Ltd, 2007 [2] D.T. Pham, X. Liu, Neural networks for identification, prediction and control, Springer-Verlag London Ltd. UK, 1995 [3] N. F. Naim, A. I. M. Zakaria, N. A. Wahab, Classification of Thumbprint using Artificial Neural Network (ANN), IEEE International Conference on System Engineering and Technology (ICSET), Shah Alam, 2011, pp. 231- 234 [4] A. Reda, B. Aoued, Artificial Neural Network Based Face Recognition, First International Symposium on Control, Communications and Signal Processing, Algeria, 2004, pp. 439- 442 [5] J.E.Stine and M.J.Schulte, The Symmetric Table Addition Method for Accurate Function Approximation, Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, vol.21,1999,pp.167-177 [6] Nihal Koc-sahan , Jason A. Schlessman , Michael J. Schulte, Symmetric table addition methods for neural network approximations,Proc. SPIE 4474, Advanced Signal Processing Algorithms, Architectures, and Implementations XI, 2001,pp.126-133 International Journal on Computational Sciences & Applications (IJCSA) Vol.4, No.2, April 2014 12 [7] G. P. J. Schmitz, C. Aldrich, and F. S. Gouws, ANN-DT An Algorithm for Extraction of Decision Trees from artificial Neural Networks, IEEE Transactions on Neural Networks,vol.10,No.6,1999,pp.1392-1401 [8] I. K. Sethi, Layered Neural Net Design Through Decision Trees, IEEE International Symposium on Circuits and Systems, vol.2,1990,pp.1082-1085 [9] S. Behnke, and N. B. Karayiannis, Competitive neural trees for pattern classifications IEEE Transactions on Neural Networks,vol.9,No.6,1998,pp.1352–1369 [10] A. Sankar, and R. J. Mammone, Growing and pruning neural tree networks, IEEE Transactions on Computers,vol.42,No.3,1993, pp.291–299 [11] B.T. Zhang, A Bayesian evolutionary approach to the design and learning of heterogeneous neural trees, Integrated Computer- Aided Engineering,vol.9,2002,pp.73–86 [12] J. S. Cohen, Computer algebra and symbolic computation: Elementary algorithms. Natick: A. K. Peters, Ltd,2002 [13] George S. Eskander and Amir F. Atiya, neural networks, Neural Networks ,vol.22 ,2009,pp. 395–404 [14] Forrester W. Isen , DSP for MATLAB and LabVIEW: Fundamentals of Discrete Signal Processing, Morgan & Claypool publishers ,2009 .

[1] R.L. Cassola & R.D. Koshel, the neutron-nucleus interaction, IL NUOVO CIMENTO B (1965-1970), Volume 47, Number 2 ,1967 , pp.303-305 [2] P.E. Hodgson, Rep. Prog. Phys., 47, 1984, pp.613-654 [3] C.M. Perey & F.G. Perey, Atomic Data and Nuclear Data Tables, Volume 17, Issue 1, January 1976,pp. 1–101 [4] John Paul Mueller," C# Design and Development: Expert One on One", John Wiley & Sons, 2009 [5] Li Wenlung , Y.P. Tsaib & C.L. Chiu, The experimental study of the expert system for diagnosing unbalances by ANN and acoustic signals, Journal of Sound and Vibration, 272,2004,pp.69–83 [6] M. Riedmiller & H. Braun, A direct Adaptive Method for Faster Back propagation learning: The RPROP Algorithm, IEEE international Conference on Neural Networks, 1993, pp.586-591 [7] J.H. Dave & C.R. Gould, Optical model analysis of scattering of 7- to 15-MeV neutrons from 1-p shell nuclei, Physical Review C, 28, Issue 6, 1983,pp.2212-2221 [8] Subhra Rani Patra et al, Artificial Neural Network Model for Intermediate Heat Exchanger of Nuclear Reactor,International Journal of Computer applications (0975 - 8887) Volume 1 – No. 26, 2010 .

[1] MULVEY, The magnetic circuit in electron microscope lenses, Proceedings of the Physical Society. Section B,vol.66 ,Number 6,p.441-447,1953 [2] P.Grivet, Electron Optics ( 2nd.ed.) ,Pergamon Press,1972 [3] E. Munro, design and optimization of magnetic lenses and deflection systems for electron beams, J.Vac.Sci.Technol.,12,No.6,p.1146-1150,1975 [4] M. Szilagyi, Electron optical synthesis and optimization, Proc. IEEE, 73,p.412-418,1985 [5] A.K. Ahmad, M.J. Sabah, and Ahmed A. Al-Tabbakh, Computer aided design of an electrostatic FIB system, Indian J. Phys. ,76B,p.711-714,2002 [6] Steve C. Johnston, Alan W. Greynolds, David Y. Wang, Donald C. Dilworth, Combination of global optimization and expert systems techniques in optical design, Proc. SPIE 1780,p. 192-196,1993 [7] F.A. Ali, Expert system Design of Two Electrostatic Lenses Column by Mixing Dynamic Programming and AI Techniques, International Journal of Advancements in Computing Technology, vol. 2,p. 5,2010 [8] R. Holčáková and M. Marek, Innovative Research in Electron Microscopes, Analysis of Magnetic Field Distribution of Some Types of Magnetic Lenses by FEM, 10th International Conference on Environment and Electrical Engineering (EEEIC), p.1-4,2011 [9] M. Szilagyi, Electron and Ion Optics, Plenum Press,1988 [10] Charles L. Forgy, Rete: A Fast Algorithm for the Many Pattern/ Many Object Pattern Match Problem, Artificial Intelligence, vol.19,p.17-37,1982 [11] P.W. Hawkes and E. Kasper, Principle of Electron Optics, Academic press, vol.1,1989 [12] P.W. Hawkes and E. Kasper, Principle of Electron Optics, Academic press,vol.3,1996 [13]Cheong Youn and Hyoung-Joo Kim, Classification, and Compilation of Linear Recursive Queries in Deductive Databases, IEEE transactions on knowledge and data engineering,vol.4 No.1,1992 [14] H. Ohiwa, Design of electron-beam scanning systems using the moving objective lens, J. Vac. Sci. Technol. vol.15(3),p.849-851,1978 [15] Was J. Kadhem, Hassan N. Al-Obaid, An inverse design approach for magnetic lenses operated under infinite magnification condition, Optik, vol.124,p.3523– 3526,2013 [16] Eric Munro, John Rouse, Haining Liu, and Victor Katsap, Computing the Effects of Discrete Coulomb Interaction in Triode Gun with Magnetic Lens, IEEE Thirteenth International Vacuum Electronics Conference (IVEC),p.381-382,2012 .

[1] Tsumagari T.,Kimata Y., Ohiwa H., and Noda T. , An optimum design of focused ion beam system with a beam crossover ,Jpn.Appl.Phys., vol. 27,p.L1567-L1578,1988 [2] Li-Yen Shue, Ching-Wen Chen, Weissor Shiue , The development of an ontology-based expert system for corporate financial rating, Expert Systems with Applications, Vol. 36 , Issue 2 , p. 2130-2142 , 2009 [3] Tam S. M., Kwong C. K., and Ip W. H, A hybrid artificial intelligence system for optical lens design, International Journal of Computer Applications in Technology, Vol. 13, Issue 3-5, p.229-236, 2000 [4] Friedman E. J., (Jess) the Rule Engine for the Java Platform, Computing Systems Sandia National Laboratories Livermore Version 6.1,4, CA USA, 2003 [5] Steve C. J., Alan W. G., David Y. Wang, and Dilworth D. C., Combination of global-optimization and expert-systems techniques in optical design, Proc. SPIE Vol. 1780, p. 192-196, 1993 [6] Xiaogang C., Zhijiang W., Da-Jian L., and Guoliang Sun, Small expert system used in lens design, Proc. SPIE Vol. 1780,p.197-201, 1993 [7] Szilagyi M., Electron optical synthesis and optimization, Proc. IEEE, vol.73, p.412-418, 1985 [8] Ahmad, A.K., Sabah M.J. and Ahmed A.Al-Tabbakh, Computer aided design of an electrostatic FIB system, Indian J.Phys. 76B, p.711-714, 2002 [9] Szilagyi M.,Electron and Ion Optics, Plenum Press, New York, 1988 .

BOOK

ISBN: 149753934X,978-1497539341 .

CONFERENCE PAPER

(2011). Computer Aided Design of Optimized Magnetic Lens in FIB System by mixing Dynamic Programming and AI techniques. 2nd International Conference on Advancements in Computing Technology proceedings.

Ali, F.A.(2010). Expert system design of beam spot size measurements in FIB system . EPC-IQ01 2010 - 2010 1st International Conference on Energy, Power and Control. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 168-172.