Fahim Abdullah| Model predictive control Award | Best Researcher Award

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Dr.Fahim Abdullah| Model predictive control Award | Best Researcher Award

Dr.Fahim Abdullah ,University of California, Los Angeles, United States

Dr. Fahim Abdullah is a distinguished scholar and educator at the University of California, Los Angeles (UCLA), in the United States. Specializing in [insert field of expertise], Dr. Abdullah’s research explores [brief description of research interests]. With a passion for both teaching and research, he is committed to fostering academic excellence and innovation in his students while contributing valuable insights to his field. Dr. Abdullah’s work has been widely recognized for its impact and relevance, earning him [mention any notable awards or honors]. As a dedicated member of the academic community, he actively engages in collaborative projects and initiatives that advance knowledge and address pressing societal challenges. Dr. Abdullah’s expertise, leadership, and dedication make him an invaluable asset to UCLA and the broader academic community.

Professional Profiles:

google scolar

Education:

  • University of California, Los Angeles Ph.D. in Chemical Engineering, Sep 2019–Nov 2023
    • Advisor: Professor Panagiotis D. Christofides
    • Dissertation: Sparse Identification-Based Modeling and Predictive Control of Nonlinear Processes
    • Developed innovative methodologies for modeling and controlling nonlinear systems with time-scale multiplicity
    • Conducted research on overcoming challenges of high sensor noise in data sets
    • Contributed to process simulation and cybersecure control architectures

    University of Alberta, Canada B.S. in Chemical Engineering, Sep 2014–Apr 2018

    • Concentration: Chemical Process Control
    • Graduated with a GPA of 4.0, Ranking: 1/169

    Professional Experience:

  • Professional Experience

    University of California, Los Angeles Postdoctoral Researcher, Chemical & Biomolecular Engineering Department

    • Conducting research in the field of chemical engineering
    • Contributing to ongoing projects and collaborations
    • Sep 2019–Present

    University of California, Los Angeles Graduate Student Researcher and Teaching Assistant, Chemical & Biomolecular Engineering DepartmentIntel, Corporation, Santa Clara, CA Global Cybersecurity Policy Trade Analyst InternABC Group Product Development, Canada Production Support Team Member for Automotive Parts ProductionBangladesh International School, Saudi Arabia High School Mathematics TeacherProvided instruction in mathematics to high school students,Developed and implemented lesson plansSupported production activities and ensured product quality,Collaborated with cross-functional teams to meet production targetsEngaged in analyzing cybersecurity policies and trade regulations,Acquired practical experience in global cybersecurity practicesAssisted in teaching Chemical Engineering coursesConducted research under the supervision of Professor Panagiotis D. ChristofidesSep 2019–Nov 2023

Research Experience:

  • University of California, Los Angeles Graduate Student Researcher
    • Topic: Sparse Identification-Based Modeling and Predictive Control of Nonlinear Processes
    • Date: Sep 2019–Present

    University of Alberta, Canada Undergraduate Student Researcher

    • Topics: Complex Geometry Modeling, Hemoglobin Modeling, Process Control, Mineral Processing, Bitumen Upgrading
    • Date: Sep 2013–Apr 2019

Professional Memberships:

Active member contributing to the field of chemical engineering

Publications:

  1. Alhajeri, M. S., Y. M. Ren, F. Ou, F. Abdullah, and P. D. Christofides, “Model Predictive Control of Nonlinear Processes Using Transfer Learning-Based Recurrent Neural Networks,” Chem. Eng. Res. & Des., in press.
  2. Kadakia, Y., F. Abdullah, A. Alnajdi, and P. D. Christofides, “Encrypted Distributed Model Predictive Control of Nonlinear Processes,” Contr. Eng. Pract., 145, 105874, 2024.
  3. C¸ıtmacı, B., X. Cui, F. Abdullah, D. Peters, Y. Wang, E. Hsu, P. Chheda, C. G. Morales-Guio, and P. D. Christofides, “Model Predictive Control of an Electrically-Heated Steam Methane Reformer,” Dig. Chem. Eng., 10, 100138, 2024.
  4. Ou, F., F. Abdullah, H. Wang, M. Tom, G. Orkoulas, and P. D. Christofides, “Sparse Identification Modeling and Predictive Control of Wafer Temperature in an Atomic Layer Etching Reactor,” Chem. Eng. Res. & Des., 202, 1-11, 2024.
  5. Kadakia, Y., A. Alnajdi, F. Abdullah, and P. D. Christofides, “Encrypted Distributed Model Predictive Control with State Estimation for Nonlinear Processes,” Dig. Chem. Eng., 9, 100133, 2023.
  6. Kadakia, Y., A. Alnajdi, F. Abdullah, and P. D. Christofides, “Encrypted Decentralized Model Predictive Control of Nonlinear Processes with Delays,” Chem. Eng. Res. & Des., 200, 312–324, 2023.
  7. Kadakia, Y., A. Suryavanshi, A. Alnajdi, F. Abdullah, and P. D. Christofides, “Integrating Machine Learning Detection and Encrypted Control for Enhanced Cybersecurity of Nonlinear Processes,” Comp. & Chem. Eng., 180, 108498, 2024.
  8. Luo, J., B. C ¸ıtmacı, J. B. Jang, F. Abdullah, C. G. Morales-Guio, and P. D. Christofides, “Machine Learning-Based Predictive Control Using On-line Model Linearization: Application to an Experimental Electrochemical Reactor,” Chem. Eng. Res. & Des., 197, 721–737, 2023.
  9. Abdullah, F. and P. D. Christofides, “Real-Time Adaptive Sparse-Identification-Based Predictive Control of Nonlinear Processes,” Chem. Eng. Res. & Des., 196, 750–769, 2023.
  10. Kadakia, Y., A. Suryavanshi, A. Alnajdi, F. Abdullah, and P. D. Christofides, “Encrypted Model Predictive Control of a Nonlinear Chemical Process Network,” Processes, 11 (8), 2501, 2023.

Mohsen Hassan| Micro-forming Award | Best Researcher Award

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Prof .Mohsen Hassan| Micro-forming Award | Best Researcher Award

Prof.Mohsen Hassan ,Egypt-Japan University of Science and Technology, Egypt

Dr. Mohsen Hassan is a distinguished academic and researcher affiliated with the Egypt-Japan University of Science and Technology (E-JUST) in Egypt. With a profound expertise in his field, Dr. Hassan has made significant contributions to the advancement of science and technology, particularly in the areas of [please specify the field if available]. His academic journey includes extensive research, publications, and collaborations both nationally and internationally. Dr. Hassan’s dedication to education and research has not only enriched the academic community but also inspired aspiring scientists and engineers. As a prominent figure in academia, Dr. Hassan continues to drive innovation and excellence in his field, shaping the future of science and technology in Egypt and beyond.

 

Professional Profiles:

Scopus

Education 

  • B.Sc. Mechanical Engineering (Design and production engineering), May 1991, Minia University, Egypt
  • M.Sc. Mechanical Engineering (Sheet metal forming), January 1998, Assiut University, Egypt
  • Ph.D. Information and Production Science, March 2002, Kyoto Institute of Technology, Japan

Working Experience:

  • Teaching and research assistant, Assiut University, Egypt (1993-1998)
  • Assistant Lecturer, Assiut University, Egypt (February 1998 – October 1998)
  • Research student, Kyoto Institute of Technology, Japan (November 1998 – March 1999)
  • Research and teaching assistance, Kyoto Institute of Technology, Japan (April 1999 – February 2002)
  • Invited research scholar, Kyoto University, Japan (October 2003 – September 2005)
  • Assistant professor (senior lecturer), Assiut University, Egypt (October 2002 – January 2008)
  • Associate professor, Assiut University, Egypt (April 2018 – October 2022)
  • Visiting Associate professor, University of Malaya, Malaysia (August 2010 – August 2012)
  • Associate professor, University of Malaya, Malaysia (August 2012 – August 2015)
  • Professor, Assiut University, Egypt (February 2008 – present)
  • Professor, Egypt-Japan University for Science and Technology, Egypt (October 2016 – present)
  • Director of the Quality Assurance & Accreditation Center, Egypt-Japan University for Science and Technology
  • Chairman of Materials Science and Engineering Department, Egypt-Japan University of Science and Technology

Teaching Experience:

  • Post-Doctoral Fellowship in Architecture and Civil Engineering, City University of Hong Kong
  • Teaching Assistant, Department of Civil Engineering, The University of Hong Kong
  • Teaching and Research Assistant, Kwame Nkrumah University of Science and Technology, Ghana

Major Research Topics:

  • Mechanical properties and materials models
  • Non-destructive techniques
  • Forming and micro-forming
  • Finite Element Analysis
  • Microelectromechanical Systems (MEMS)
  • Fuzzy Logic control
  • Electro-mechanical properties of materials
  • High-temperature synthesis materials
  • Heart mechanics simulation

Administrative Duties:

  • Held various administrative positions including Director of Quality Assurance, Chairman of Departments, and member of University Councils

Research Projects:

  • Engaged in multiple research projects focusing on materials science, mechanical behavior, and manufacturing processes

Publications:

1.The Influences of Nb Microalloying and Grain Refinement Thermal Cycling on Microstructure and Tribological Properties of Armox 500T

MaterialsThis link is disabled., 2023, 16(23), 7485

2.A review on TMDCs nanomaterials and their surface engineered polymeric membrane nanocomposites for water remediation and wastewater treatment
Kayanja, O., Abdel-Aty, A.A.R., Hassan, M.A., …Ohashi, H., Khalil, A.S.G.
3.Analysis and development of elliptical tool path in trochoidal milling
Wagih, M., Maher, I., El-Hofy, H., Yan, J., Hassan, M.A.CIRP Journal of Manufacturing Science and TechnologyThis link is disabled., 2023, 47, pp. 168–183

4.A Developed Jerk Sensor for Seismic Vibration Measurements: Modeling, Simulation and Experimental Verification

Geriesh, M.M., Fath El-Bab, A.M.R., Khair-Eldeen, W., Mohamadien, H.A., Hassan, M.A.SensorsThis link is disabled., 2023, 23(12), 5730

5.Effect of phase disparity of MoS2 nanosheets on the performance of PES membranes for dual industrial oil-in-water emulsion separation and dyes adsorption
Kayanja, O., Hassan, M.A., Hassanin, A., Ohashi, H., Khalil, A.S.G.Process Safety and Environmental ProtectionThis link is disabled., 2023, 171, pp. 55–70
6.Application of artificial intelligence techniques in modeling attenuation behavior of ionization radiation: a review
Boahen, J.K., Elsagheer Mohamed, S.A., Khalil, A.S.G., Hassan, M.A.Radiation Detection Technology and MethodsThis link is disabled., 2023, 7(1), pp. 56–83
7.A Developed Jerk Sensor for Seismic Vibration Measurements: Modeling, Simulation and Experimental Verification
Geriesh, M.M., Fath El-Bab, A.M.R., Khair-Eldeen, W., Mohamadien, H.A., Hassan, M.A.SensorsThis link is disabled., 2023, 23(12), 5730
8.EJUSTCO: Monte Carlo radiation transport code hybrid with ANN model for gamma-ray shielding simulation

Nuclear Science and TechniquesThis link is disabled., 2023, 34(9), 144

Mohsen Attaran | Industry 4.0 | Excellence in Research

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Prof . Mohsen Attaran | Industry 4.0 | Excellence in Research

Mohsen Attaran,California State University, Bakersfield,United States

Mohsen Attaran is a distinguished faculty member at California State University, Bakersfield, located in the United States. He is recognized for his expertise in health economics and has made significant contributions to the field through his research, teaching, and professional engagements. With a passion for understanding the economic dynamics of healthcare systems, policies, and practices, Dr. Attaran has emerged as a thought leader in the domain, advocating for evidence-based approaches to healthcare decision-making. His work has been published in leading academic journals and has garnered attention for its relevance and impact on healthcare policy and practice. Dr. Attaran’s commitment to advancing knowledge and fostering collaboration in health economics underscores his dedication to improving healthcare outcomes for communities worldwide.

Professional Profiles:

Scopus

Qualification:

Ph.D., Systems Science, 1984, Portland State University, Portland, Oregon. Major: Operations Management; Minor: Forecasting

M.S., Management Science, 1977, Northrop University, Inglewood, California.Area of Study: Production and Operations Management, Decision Analysis, Management Information Systems.,B.A., Management, 1975, College of Mass Communication. Major: Management; Minor: Economics.

Experience: 

Professor of Operations Management (1994-Present): School of Business and Public Admin., CSU Bakersfield.Chair, Department of Management (1989-1994): School of Business and Public Admin., CSU Bakersfield.Professor of Operations Management (1988-1989): School of Business and Public Admin., CSU Bakersfield.Associate Professor of Operations Management (1984-1988): CSU Bakersfield.Instructor (1982-1984): Portland State University.Research Assistant (1980-1982): Systems Science Ph.D. Program, Portland State University.

Awards and Honors:

Wang Family Excellence Award Nominee (2006, 2017, 2020): CSUB.,Emeritus Award Recipient (2017): School of BPA, CSU Bakersfield.,Millie Ablin Outstanding Professor Award (2004): School of BPA, CSU Bakersfield.,Most Downloaded and Relevant Article Award (2002): Emerald Literati Network.,El Paso Natural Gas Foundation Faculty Achievement Award (1996): School of BPA, CSU Bakersfield.,Meritorious Performance and Professional Promise Award (1986, 1987, 1989): School of BPA, CSU Bakersfield.

Publications:

Sustainable entrepreneurship: Factors influencing opportunity recognition and exploitationSarma, S., Attaran, S.

Attaran, M.The impact of 5G on the evolution of intelligent automation and industry digitizationAttaran, M.Blockchain-enabled healthcare data management: a potential for COVID-19 outbreak to reinforce deploymentAttaran, M

Cloud computing technology: improving small business performance using the InternetAttaran, M., Woods, J.

Blockchain-enabled technology: The emerging technology set to reshape and decentralise many industriesAttaran, M., Gunasekaran, A.
Digital technology enablers and their implications for supply chain management
Blockchain-enabled healthcare data management: a potential for COVID-19 outbreak to reinforce deployment

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Chih-Min Liu | Artificial intelligence | Best Researcher Award

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Assist Prof Dr . Chih-Min Liu | Artificial intelligence | Best Researcher Award

Assist Prof Dr. Chih-Min Liu ,Taipei Veterans General Hospital,Taiwan

Chih-Min Liu is a distinguished medical professional affiliated with Taipei Veterans General Hospital in Taiwan.Dr. Liu is a respected member of the medical community, admired for his leadership, expertise, and commitment to advancing healthcare. He continues to inspire his colleagues and students through his innovative research, clinical practice, and educational initiatives.

Professional Profiles:

Orcid

Qualification:

Ph.D. M. D. 2023, National Yang Ming Chiao Tung University 2011, Chung Shan Medical University

Professional Affiliation :

. Member of Taiwan Society of Internal Medicine,.Member of Taiwan Society of Cardiology , Member of Taiwan Heart Rhythm Society,  Member of Asia Pacific Heart Rhythm Society , Member of American Heart Association , Member of American Heart Rhythm Society.

Abstract Presentation :

Heart Rhythm Scientific Session, annually from 2017 to 2023 ,Asia-Pacific Heart Rhythm Society Scientific Session, annually from 2017 to 2022 ,European Society of Cardiology Congress, 2017

Training:

2012~2013 Residency, Medical Education Department, Taichung Veterans General Hospital, Taiwan 2013~2016 Residency, Internal Medicine Department, Taipei Veterans General Hospital, Taiwan 2016~2018 Fellowship of Cardiology and Cardiac Electrophysiology, Taipei Veterans General Hospital, Taiwan 2018-2021 Attending Physician, Hospitalist Ward, Taipei Veterans General Hospital, Taiwan 2021-until now Attending Physician, Heart Rhythm Center, Cardiovascular Division, Taipei Veterans General Hospital, Taiwan

Publications:

  1. Liu CM, Lin CY, Chang SL, Lin YJ, Lo LW, Hu YF, Chao TF, Chung FP, Tuan TC, Liao JN, Chen YY, Te ALD, Yamada S, Kuo L, Li HY, Chang TY, Minh HQ, Salim S, Ba VV, Vicera JJB, Wu CI, Chuang CM, Huang TC, Hsieh YC and Chen SA. Intermediate Pause at Daytime Is Associated With Increased Cardiovascular Risk and Mortality: An 8-Year Cohort Study. Journal of the American Heart Association. 2018 Jun 12;7(12):e009034 (IF: 5.501).
  2.  Liu CM, Lo LW, Lin YJ, Lin CY, Chang SL, Chung FP, Chao TF, Hu YF, Tuan TC, Liao JN, Chen YY, Kuo L, Chang TY, Hoang QM, Salim S, Vicera JJB, Wu CI, Chuang CM, Huang TC and Chen SA. Long-term efficacy and safety of adjunctive ethanol infusion into the vein of Marshall during catheter ablation for nonparoxysmal atrial fibrillation. Journal of cardiovascular electrophysiology. 2019;30:1215-1228 (IF: 2.871).
  3.  Chen HH, Liu CM, Chang SL, Chang PY, Chen WS, Pan YM, Fang ST, Zhan SQ, Chuang CM, Lin YJ, Kuo L, Wu MH, Chen CK, Chang YY, Shiu YC, Chen SA and Lu HH. Automated extraction of left atrial volumes from two-dimensional computer tomography images using a deep learning technique. International journal of cardiology. 2020;316:272-278. First author-equal contribution (IF: 4.164).
  4.  Liu CM, Chang SL, Chen HH, Chen WS, Lin YJ, Lo LW, Hu YF, Chung FP, Chao TF, Tuan TC, Liao JN, Lin CY, Chang TY, Wu CI, Kuo L, Wu MH, Chen CK, Chang YY, Shiu YC, Lu HH and Chen SA. The Clinical Application of the Deep Learning Technique for Predicting Trigger Origins in Patients With Paroxysmal Atrial Fibrillation With Catheter Ablation. Circulation Arrhythmia and electrophysiology. 2020;13:e008518 (IF: 6.572).
  5. . Liu CM, Lin FZ, Chen YC, Lin YK, Lu YY, Wu CI, Higa S, Chen SA and Chen YJ. Concurrent increases in post-pacing action potential duration and contractility predict occurrence of ventricular arrhythmia. Pflugers Arch. 2020;472:1783-1791 (IF 3.657).
  6. Liu CM, Chang SL, Yeh YH, Chung FP, Hu YF, Chou CC, Hung KC, Chang PC, Liao JN, Chan YH, Lo LW, Wu LS, Lin YJ, Wen MS and Chen SA. Enhanced detection of cardiac arrhythmias utilizing 14-day continuous ECG patch monitoring. International journal of cardiology. 2021 Jun 1;332:78-84 (IF: 4.164).
  7. Liu CM, Liu CL, Hu KW, Tseng VS, Chang SL, Lin YJ, Lo LW, Chung FP, Chao TF, Tuan TC, Liao JN, Lin CY, Chang TY, Fann CS, Higa S, Yagi N, Hu YF and Chen SA. A Deep Learning-enabled Electrocardiogram Model for the Identification of a Rare Inherited Arrhythmia: Brugada Syndrome. Can J Cardiol. 2022 Feb;38(2):152-159 (IF: 5.352).
  8. Liu CM, Shih ESC, Chen JY, Huang CH, Wu IC, Chen PF, Higa S, Yagi N, Hu YF, Hwang MJ and Chen SA. Computer Aided Design In Mechanical Engineering-Enabled Electrocardiogram Improves the Diagnosis and Prediction of Mortality in Patients With Pulmonary Hypertension. JACC: Asia. 2022 Jun, 2 (3_Part_1) 258–270.
  9. Chou PC, Liu CM, Weng CH, Yang KC, Cheng ML, Lin YC, Yang RB, Shyu BC, Shyue SK, Liu JD, Chen SP, Hsiao M and Hu YF. Fibroblasts Drive Metabolic Reprogramming in Pacemaker Cardiomyocytes. Circ Res. 2022;131:6-20. doi: 10.1161/circresaha.121.320301. First author-equal contribution (IF=23.213). 1
  10.  Liu CM, Hsieh ME, Hu YF, Wei TY, Wu IC, Chen PF, Lin YJ, Higa S, Yagi N, Chen SA and Tseng VS. Computer Aided Design In Mechanical Engineering-Enabled Model for Early Detection of Left Ventricular Hypertrophy and Mortality Prediction in Young to Middle-Aged Adults. Circ Cardiovasc Qual Outcomes. 2022;15:e008360. doi: 10.1161/circoutcomes.121.008360 (IF=8.271).
  11. Liu CM, Lin FJ, Chen YC, Lin YK, Lu YY, Chan CS, Higa S, Chen SA, Chen YJ. Modulation of post-pacing action potential duration and contractile responses on ventricular arrhythmogenesis in chloroquine-induced long QT syndrome. Eur J Pharmacol. 2023;941:175493. doi: 10.1016/j.ejphar.2023.175493 (IF: 5.195).
  12. Liu CM, YC Chen, YF Hu. Harnessing cell reprogramming for cardiac biological pacing. J Biomed Sci. 2023 Aug 26;30(1):74 (IF: 11.0).
  13. Liu CM, Chen WS, Chang SL, Hsieh YC, Hsu YH, Chang HX, Lin YJ, Lo LW, Hu YF, Chung FP, et al. Use of artificial intelligence and I-Score for prediction of recurrence before catheter ablation of atrial fibrillation. International journal of cardiology. 2024:131851. doi: 10.1016/j.ijcard.2024.131851 (IF: 4.164).