Vinay Kumar | Agricultural Engineering | Best Researcher Award

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Dr. Vinay Kumar, Agricultural Engineering, Best Researcher Award

Doctorate at SKUAST Jammu: Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, India

Summary:

Dr. Vinay Kumar is a dedicated researcher and agricultural engineer with a passion for developing innovative solutions to improve farming practices. His academic background and research interests focus on leveraging sensor technology, data analytics, and precision farming techniques to address challenges in agriculture, particularly in hilly terrains. Dr. Kumar has received recognition for his contributions to the field, including awards, memberships, and appointments to editorial boards. He actively shares his knowledge and expertise through keynote speeches and educational initiatives aimed at promoting sustainable agriculture and technology adoption in farming communities.

Professional Profile:

šŸ‘©ā€šŸŽ“Education:

Ph.D. in Farm Machinery and Power Engineering

  • University: Punjab Agricultural University, Ludhiana, India
  • Year: 2022

M. Tech. in Farm Machinery and Power Engineering

  • University: SKUAST-Kashmir (J&K), India
  • Year: 2017

B. Tech. in Agricultural Engineering

  • University: SKUAST-Kashmir (J&K), India
  • Year: 2014

Professional Experience:

Dr. Vinay Kumar has significant expertise in agricultural engineering, specializing in farm machinery and power engineering. He has engaged in research, development, and evaluation of agricultural technologies aimed at enhancing resource conservation and efficiency in farming practices. His professional journey includes collaborations with industry partners and academic institutions to address challenges in agricultural mechanization and precision farming.

Research Interest:

  • Sensor-Based Machinery for Resource and Soil Conservation
  • Precision Agriculture Technology
  • Precision Farming
  • Development of Manual Implements for Hill Agriculture
  • Energy Audit for Different Agricultural Operations

Top Noted Publication:

Estimation of Spatial Variability of Soil Profile Using Hydraulic Operated Real-Time Dual Sensor Based Integrated System

  • Journal: Journal of The Institution of Engineers (India): Series A
  • Year: 2024 (Article in Press)

Development of a Control Panel System and Android Bluetooth App for Real-Time Integrated Sensors

  • Journal: Current Science
  • Year: 2023
  • Volume: 125
  • Issue: 12
  • Pages: 1388ā€“1390

Xiaoming Li | Systems Engineering | Best Researcher Award

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Dr. Xiaoming Li, Systems Engineering, Best Researcher Award

Doctorate at Concordia University, Canada

Summary:

Dr. Xiaoming Li is an accomplished researcher and educator with extensive experience in artificial intelligence, machine learning, and optimization models for shared mobility and smart logistics. With a Ph.D. in Information and Systems Engineering from Concordia University, his work focuses on integrating data-driven approaches to optimize urban transportation systems and enhance sustainability. He has a strong background in software engineering and has contributed significantly to both academic research and industry projects. Dr. Li has received several awards, including the IEEE Outstanding Leadership Award and the Mitacs Accelerate Program Award. As a dedicated educator, he has taught and mentored students across various institutions, shaping the next generation of computer scientists.

Professional Profile:

šŸ‘©ā€šŸŽ“Education:

Ph.D. in Information and Systems Engineering

  • Concordia University, MontrĆ©al, QC, Canada
  • Cumulative GPA: 4.0 / 4.3

M.Sc. in Computer Software and Theory

  • Northeastern University, China
  • Cumulative GPA: top 16.7%

B.Sc. in Computer Science and Technology

  • Shenyang Aerospace University, China

Professional Experience:

Dr. Xiaoming Li currently serves as a Research Associate at Concordia University, MontrƩal, where he supervises interdisciplinary research in artificial intelligence and operations research for shared mobility-on-demand applications. His role involves designing deep learning models for time-series demand forecasts, developing data-driven stochastic optimization models for renewable energy mobility management, and creating an integrated optimization framework for sustainable crowd-shipping services. Previously, Dr. Li held a Research Assistant position at Concordia, working on data analysis and machine learning model development for various projects, including forecasting commodity rates and predicting hotel booking cancellations.

Dr. Li’s industrial experience includes internships at Ericsson’s Global Artificial Intelligence Accelerator, where he developed an energy-saving framework for 5G base stations, and Medialpha, where he optimized nurse routing and medical resource allocation using meta-heuristic algorithms. Additionally, he has substantial experience as a Software Engineer at Shenyang Aerospace University, leading projects and managing teams.

In academia, Dr. Li has served as an Adjunct Faculty at Vanier College, teaching database theory and application development, and as a Full-Time Lecturer at Shenyang Aerospace University, instructing on a variety of computer science courses and supervising numerous student projects.

Research Interest:

  • Machine Learning
  • Operations Research
  • Data Science
  • Data-Driven Optimization
  • Agent-Based Simulation Modeling
  • Shared Mobility
  • Smart Logistics
  • Sustainable Intelligent Transportation Systems

Publications Top Noted:Ā 

GREEN: A Global Energy Efficiency Maximization Strategy for Multi-UAV Enabled Communication Systems

  • N. Lin, Y. Fan, L. Zhao, X. Li, M. Guizani
  • IEEE Transactions on Mobile Computing, 14, 2022.

BM-DDPG: An Integrated Dispatching Framework for Ride-Hailing Systems

  • J. Gao, X. Li, C. Wang, X. Huang
  • IEEE Transactions on Intelligent Transportation Systems, 23(8), 11666-11676, 2021.

Driver Guidance and Rebalancing in Ride-Hailing Systems Through Mixture Density Networks and Stochastic Programming

  • X. Li, J. Gao, C. Wang, X. Huang, Y. Nie
  • 2021 IEEE International Smart Cities Conference (ISC2), 1-7, 2021.

Learning-Based Open Driver Guidance and Rebalancing for Reducing Ridersā€™ Wait Time in Ride-Hailing Platforms

  • J. Gao, X. Li, C. Wang, X. Huang
  • 2020 IEEE International Smart Cities Conference (ISC2), 1-7, 2020.

Ride-Sharing Matching Under Travel Time Uncertainty Through Data-Driven Robust Optimization

  • X. Li, J. Gao, C. Wang, X. Huang, Y. Nie
  • IEEE Access, 10, 116931-116941, 2022.

Hien Thanh Le | Electrical Engineering Award | Best Researcher Award

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Dr. Hien Thanh Le, Electrical Engineering Award, Best Researcher Award

Doctorate at HUIT, Vietnam

Summary:

Dr. Hien Thanh Le is an accomplished electrical engineer with a diverse background in academia and industry. He holds a Doctoral degree in Electrical Engineering from the National Kaohsiung University of Science and Technology, Taiwan, where he pursued research in optical design. Prior to his doctoral studies, Dr. Le completed his Master’s degree in Electrical Engineering at the Ho Chi Minh City University of Technology and Education, Vietnam, focusing on clean development mechanism projects for manufacturing construction materials.

With extensive professional experience spanning over a decade, Dr. Le has served as a lecturer at Dong Nai Technology University, Vietnam, where he teaches courses in Power Plant Technology, Electrical System Operation and Control, and Engineering Technology. He has also contributed significantly to research in optical design, clean energy technologies, power system analysis and control, and sustainable development.

Professional Profile:

Scopus Profile

Google Scholar Profile

šŸ‘©ā€šŸŽ“Education & Qualification:

Bachelor of Engineer of Electrification and Power Supply:

  • Institution: LAC HONG University
  • Duration: October 2007 – October 2012
  • Major: Electrification and Power
  • GPA: 7.47

Master of Electrical Engineering:

  • Institution: HCMC University of Technology and Education
  • Duration: December 2012 – October 2015
  • Major: Electrical Engineering
  • Thesis Topic: “Set up clean development mechanism project file for some manufacturing of construction materials”
  • GPA: 6.59

Doctoral of Electrical Engineering:

  • Institution: National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
  • Duration: September 2017 – September 2021
  • Major: Electrical Engineering
  • GPA: 4.00

Professional Experience:Ā Ā 

Dr. Hien Thanh Le has amassed significant professional experience in the field of electrical engineering, demonstrating a commitment to both academia and industry. Since 2013, Dr. Le has served as a lecturer at Dong Nai Technology University, where he has been actively involved in teaching a variety of subjects, including Power Plant Technology, Electrical System Operation and Control, Protection and Management of Electrical Systems, and Base M&E Design, among others. In addition to teaching, he has been engaged in pioneering research endeavors, exploring new technologies and contributing to the advancement of knowledge in his field. Dr. Le has also taken on the responsibility of managing the laboratory of technology, overseeing its operations and ensuring a conducive learning environment for students. Prior to his academic role, Dr. Le worked as a Design Engineer at Gen World Company, where he was involved in the design and development of electrical devices such as transformers, generators, motors, and power electronics. His expertise extends to the design of controllers utilizing microcontrollers, programmable logic controllers, digital signal processors, and electrical circuits. Through his combined experiences in academia and industry, Dr. Le has demonstrated a deep commitment to advancing the field of electrical engineering through education, research, and practical applications.

Research Interest:

Optical Design: Dr. Le is involved in research related to optical design, which involves the development and optimization of optical systems for various applications. This may include the design of lenses, mirrors, and other optical components used in imaging systems, sensors, and communication systems.

Clean Energy Technologies: Dr. Le is interested in exploring clean energy technologies, with a focus on renewable energy sources such as solar and wind power. His research may involve the design, optimization, and implementation of systems for harnessing renewable energy and integrating it into existing power grids.

Power System Analysis and Control: Dr. Le is engaged in research related to power system analysis and control, aiming to improve the efficiency, reliability, and stability of electrical power systems. This may involve the development of advanced control algorithms, grid optimization techniques, and predictive maintenance strategies.

Sustainable Development: Dr. Le is passionate about research that contributes to sustainable development goals, particularly in the context of energy and environmental sustainability. His research may involve the assessment of environmental impacts, lifecycle analysis of energy systems, and the development of sustainable technologies and practices.

Smart Grid Technologies: Dr. Le’s research interests also extend to smart grid technologies, which involve the integration of advanced communication, control, and monitoring systems into electrical power grids. His research may focus on optimizing grid operations, enhancing grid resilience, and enabling the efficient integration of renewable energy sources and distributed energy resources.

Publication Top Noted:

Design of a Society of Automotive Engineers Regular Curved Retroreflector for Enhancing Optical Efficiency and Working Area

  • Authors: LT Le, HT Le, J Lee, HY Ma, HY Lee
  • Published in: Crystals, Volume 8, Issue 12, Page 450, 2018

Design of Low-Glared LED Rear Light of Automotive for EU ECE Regulation by Use of Optimized Micro-Prisms Array

  • Authors: HT Le, LT Le, HY Liao, MJ Chen, HY Ma, HY Lee
  • Published in: Crystals, Volume 10, Issue 2, Page 63, 2020

ECE/SAE Dual Functional Superpin Plus Curved Reflex Reflector by Use of New Structured Corner Cubes

  • Authors: HT Le, LT Le, MJ Chen, TH Lam, HY Liao, GF Luo, YC Li, HY Lee
  • Published in: Applied Sciences, Volume 10, Issue 2, Page 454, 2020

Low-Glare Freeform-Surfaced Street Light Luminaire Optimization to Meet Enhanced Road Lighting Standards

  • Authors: J Lee, LT Le, HT Le, HY Liao, GZ Huang, HY Ma, CC Wen, YC Fang
  • Published in: International Journal of Optics, Volume 2020, Pages 1-12, 2020

Design of Counter Beam Tunnel Lights for CIE 88: 2004 Regulation in Threshold Zone

  • Authors: MJ Chen, HT Le, LT Le, WH Tseng, WY Lee, SY Chen, SY Chen, HY Liao
  • Published in: International Journal of Optics, Volume 2020, Pages 1-9, 2020