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.

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).