Bedan Khanal| Transportation Engineering Award | Best Scholar Award

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Mr.Bedan Khanal| Transportation Engineering Award | Best Scholar Award

Mr.Bedan Khanal,Wayne State University,  United States

Bedan Khanal is an esteemed faculty member at Wayne State University in the United States. Holding expertise in [mention relevant field or specialization], Khanal has made significant contributions to academia through research, teaching, and mentorship. With a passion for [mention specific interests or areas of focus], Khanal is dedicated to advancing knowledge and fostering intellectual curiosity among students and peers.

 

Professional Profiles:

Google scolar

Orcid

Education:

Wayne State University | Detroit, MI, USA,Ph.D. Candidate in Civil Engineering (Ph.D. in CE) | Transportation Engineering,Faculty Supervisor: Dr. Steven M. Lavrenz,Committee Members: Dr. Stephen Remias, Dr. Christopher Eamon, Dr. Xiaodong Qian,Expected Graduation: August 2024,Proposed Dissertation Title: “Novel Approach for Transportation Data Analysis: An Integrated Study Using Crash, Crash Surrogates, and Intelligent Transportation Systems Application”,Wayne State University | Detroit, MI, USA,Graduation: May 2021,Faculty Supervisor: Dr. Steven M. Lavrenz,Committee Members: Dr. Stephen Remias, Dr. Tierra Bills,Thesis Title: “Surrogate Measures of Road Safety: A Cross-Sectional Analysis with Traditional Risk Factors and Operating Characteristics at Signalized Intersections”Jain University | Bangalore, Karnataka, India,Bachelor of Technology in Civil Engineering (B. Tech CE) | Civil Engineering,Graduation: July 2018,Thesis Advisor: Prof. Dimple Bahri,Thesis Title: “Comparative Study on Structural Behavior and Effects of Thermal Treatment on Conventional Concrete and Glass Fiber Reinforced Concrete”

 

Professional Experience:

Graduate Research Assistant (GRA) | Transportation Research Lab (TRL)- WSU | August 2019- Present,Visiting Instructor| CE 4850 Engineering Economics

Honors, Awards, and Scholarships:

2024 MI ITE Student Paper Award,2023-24 Datta Endowment Award,2023 Graduate Research Symposium second-best poster presentation,2022-23 Global Experiences Endowed Award,2022-23 Graduate Student Professional Travel Award,2021 ITE Student Paper Award,2014-2018 COMPEX SCHOLARSHIP,2012 Best 3 Outgoing Students

Organizations:

NCEES | Engineer in Training (EIT/FE),Institute of Transportation Engineers (ITE) | Student Member,Nepal Engineering Council (NEC) | Registered General Civil Engineer

Primary Research and Projects Conducted:

Ph.D. Dissertation work,Research on the safety of highway-rail grade crossing (HRGC),Study on the application of surrogate safety measures,Research on Glass fiber reinforced concrete,Extensive Survey at Melukote Village, India

Publications:

  1. Khanal, B., A. Zahertar, and Lavrenz, S.M. “Heterogeneity in Crash Data: A Cross Comparison between Ordered Probability Model and Its Variant Using Crashes at Suburban Type Arterial.” Accident Analysis & Prevention, Vol. 200, 2024, p.107524. [DOI: 10.1016/j.aap.2024.107524]
  2. Khanal, B., Lavrenz, S.M. “Safety Assessment of Suburban Type Arterial Roadways: New Findings Using Heterogeneity Models.” Transportation Research Record, 2024 (TRBAM 2022 Conference Presentation, and Paper in print)
  3. Das, S., Warner, J., Lavrenz, S., Khanal, B., “Texas A&M Transportation Institute, 2023. Safety Enhancements at Short-Storage-Space Railroad Crossings” (No. SPR-1721). [URL: https://rosap.ntl.bts.gov/view/dot/66941]
  4. Khanal, B. “Surrogate Measures of Road Safety: A Cross-Sectional Analysis with Traditional Risk Factors and Operating Characteristics at Signalized Intersections” (M.S. Thesis). Wayne State University, United States – Michigan, 2021. (Online Link available)
  5. Bahri, D., Khanal, B., Shahi, BJ., Neupane, P., Poudel, R. “Comparative Study on Structural Behavior of Thermally Treated Conventional Concrete and Glass Fibre Reinforced Concrete.” Journal of Xidian University, Vol. 15, Issue 8, p.334-343.

upendra singh| Machine design Award | Best Researcher Award

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Mr.upendra singh| Machine design Award | Best Researcher Award

Mr.upendra singh ,R B S Engineering Technical Campus,India

Upendra Singh is a distinguished educator and administrator, currently serving as a prominent figure at RBS Engineering Technical Campus in India. With a fervent passion for academia and a dedication to nurturing young minds, Singh has played a pivotal role in shaping the educational landscape within his institution.With a background deeply rooted in engineering, Singh brings a wealth of knowledge and experience to his role. His commitment to excellence in education is reflected in his innovative teaching methodologies and his unwavering support for student development.

Professional Profiles:

Orcid

Education:

Pursuing Ph.D. in Electrical Engineering from GLA University, Mathura.M.E. (Master of Engineering) – Microwave Communication & Radar Engineering from Institute Of Engineering & Technology, Agra (U.P.) (Affiliated to Dr.B.R.A. University Agra) in 2005 with 74%.B.E. (Honors) – Electrical & Electronics Engg. From Anand Engg. College, Agra (U.P.) (Affiliated to Dr.B.R.A. University Agra & Approved by AICTE) in 2003 with 76%.B.Sc passed in 1999 from Dr.B.R.A. University Agra (U.P.) with 59%.Intermediate passed in 1996 from U.P.Board Allahabad (U.P.) with 59%.High School passed in 1994 from U.P.Board Allahabad (U.P.) with 61%.

Technical  Training:

One Year Training in Computer Programming and System Management at Capital Computers, Agra.,Four weeks Summer Training in “Parichha Thermal Power Plant” Jhansi after the sixth SEMESTER.,Six weeks Training in PLC \SCADA at Computer Related Education & Technical Training Association (CRE&TTA), HEURISTICS GROUP LUCKNOW.

Administrstive  Skills:

Worked as a member of the Academic Cell. In IVS Institute of Technology, Mathura.,Worked as a Coordinator of Exam Cell. In IVS Institute of Technology, Mathura.,Worked as a member of the Admission Cell. In IVS Institute of Technology, Mathura and R. B. S. Engineering Technical Campus, Bichpuri, Agra.

Publications:

  • Upendra Pal Singh et al, (2017), “Smart Street Lighting System using Sensors and Solar Panel” , International Conference on Research Trends in Engineeering, Applied Science and Management (ICRTESM-2017) and International Journal of Engineering, Technology, Science and Research (IJWTSR), ISSN NO- 2394-3386, IF 2.120, April 2017.
  • Upendra Pal Singh et al, (2017), “Detection of Power Grid Synchronization Failure on Sensing Frequency and Voltage Beyond Acceptable Range” , International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (IJAREEIE), ISSN NO- 2321-3765, Volume 6, Issue 4,April 2017.
  • Upendra Pal Singh et al, (2017), “Charging on the Move (Through Wireless)” , International Conference on Latest Concepts in Science, Technology, Management and Humanities (ICLCSTMH-2017)  and International Journal of Elecronics, Electrcal and computational System (IJEECS) ISSN NO- 2348-117X, IF 2.52, April 2017
  • Upendra Singh et al, (2016), “Solar Based Smart Irrigation System” , International Journal of Recent Research Aspects (IJRRA), ISSN NO- 2349-7688, Volume 3, Issue 1, March 2016

 

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.

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. Artificial Intelligence-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. Artificial Intelligence-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).