Mr. zongyang hu | Engineering | Best Researcher Award

Mr. zongyang hu, Shanghai Jiao Tong University, China

Mr. Zongyang Hu, a PhD candidate in Control Science and Engineering at Shanghai Jiao Tong University’s UMJI, has demonstrated exceptional research capabilities and innovation in process control and optimization.

Education:

2015-2019: Undergraduate in Huazhong University of Science and Technology,
major in Control Science and Engineering;

2019-present: Graduate in UMJI, PhD candidate (advisor: Prof. Mian Li), major in
Control Science and Engineering.

Professional Profiles:

Scopus Profile

Professional Experience:

Zongyang’s professional experience reflects a strong foundation in control systems, industrial automation, and algorithm design, making significant contributions to energy and manufacturing sectors.

Research Interests:

His research interests lie in process control, industrial optimization, and the development of innovative control strategies for enhancing industrial efficiency and sustainability.

Research Experience:

Process Control

Optimization of Supercritical Boiler Combustion in Wucaiwan (2019-2020)

Collaboration with the National Energy Corporation, responsible for algorithm implementation.

Control and Optimization of Tianjin Binhai Garbage Burning and Disposal (2021-2022)

Responsible for algorithm development and implementation.

Visualization of Furnace Temperature Field and Research and Application of Combustion Optimization (2023-2024)

Collaboration with the National Energy Corporation, solely responsible for combustion optimization algorithm development.

Research and Application of Steel Furnace Strip Transition Strategy Control (2024-Present)

Collaboration with Baoshan Iron and Steel Company, responsible for algorithm development.

VR/AR Research

Research and Application Demonstration of Key Technologies of Virtual Experimental Education Platform Based on 5G Network and 8K Ultra-HD Video (2021-2023)

Shanghai Municipal Science and Technology Commission project, responsible for system software and hardware construction and algorithm implementation.

Key Technology Research and Application Demonstration of Digital Workshop Virtual Monitoring and Fault Warning System Based on 5G Internet of Things (2023-2024)

Zhoushan Science and Technology Bureau project, responsible for system software and hardware construction and algorithm implementation.

Smart Energy Storage

Quantitative Evaluation Model for Electrochemical Energy Storage (2024-Present)

Huawei collaboration project, responsible for the development of fault propagation network algorithms for energy storage systems.

Publications:

Efficient model predictive control of boiler coal combustion based on NARX neutral network. Journal of Process Control, 2024, 134: 103158. (SCI, IF: 4.2)

Optimization of power plant denitrification control using online adaptive gain planning method. Electric Power Technology and Environmental Protection, 2023, 39(1): 35-42.

Collaborative optimization for deep peak-shaving and ultra-clean emission of coal-fired boiler using flue gas recycling technology. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2020. DOI: 10.1080/15567036.2020.1760970. (SCI, IF: 2.902)

Digital Twin in smart manufacturing: remote control and virtual machining using VR and AR technologies. Structural and Multidisciplinary Optimization, 2022, 65(11): 321. DOI: https://doi.org/10.1007/s00158-022-03426-3. (SCI, IF: 4.279)

A Human-Inspired Slow-Fast Dual-Branch Method for Product Quality Prediction of Complex Manufacturing Processes with Hierarchical Variations. Advanced Engineering Informatics, Volume 64, 2025. (SCI, TOP)

 

Conclusion:

Dr. Zhijian Hu | Engineering | Best Researcher Award

Dr. Zhijian Hu, LAAS-CNRS, France

Education

PhD in Control Science and Engineering from Harbin Institute of Technology, China (September 2017 – January 2022), under the supervision of Prof. Ligang Wu.

Master of Engineering in Control Engineering from Harbin Engineering University, China (September 2015 – July 2017).

Bachelor of Engineering in Electrical Engineering and Automation from Dalian Maritime University, China (September 2011 – July 2015).

Professional Profiles

ORCID Profile

Professional Experience

Research Fellow

Institution: School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore

Postdoctoral Researcher

Institution: LAAS-CNRS (Laboratory for Analysis and Architecture of Systems), Toulouse, France

PhD Candidate

Institution: Harbin Institute of Technology, Harbin, Heilongjiang, China

Field: Control Science and Engineering

Research Interests

Dr. Zhijian Hu’s research interests include:

Control Systems and Methodologies

Model Predictive Control

Robust Control and Filtering

Fuzzy Control

Distributed Control

Resilient Control

Intrusion Detection and Security Control

Reinforcement Learning

Neural Networks

Energy Systems and Applications

Power Systems

Smart Grids

Renewable Energies

Load Frequency Control

Electric Vehicles

Wind Turbines

Research Experience

MSCA Postdoctoral Fellow, LAAS-CNRS, France

Funded by the prestigious Marie Skłodowska-Curie Postdoctoral Fellowship.

Duration: December 1, 2023 – November 31, 2025.

Collaborated with Prof. Luca Zaccarian from LAAS-CNRS, France, and Prof. Alessandro Astolfi from Imperial College London, UK.

Research Fellow, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

Conducted advanced research under the supervision of Prof. Rong Su.

Duration: March 28, 2022 – November 31, 2023.

Visiting Researcher, Electrical and Computer Engineering, Carleton University, Canada

Engaged in collaborative research with Prof. Shichao Liu.

Duration: October 2019 – November 2020.

Top Notable Publications

Resilient Frequency Estimation for Renewable Power Generation Against Phasor Measurement Unit and Communication Link Failures

IEEE Transactions on Circuits and Systems II: Express Briefs

DOI: 10.1109/TCSII.2024.3496192

Contributors: Zhijian Hu, Rong Su, Kai Zhang, Ruiping Wang, Renjie Ma

Publication Date: January 2025

A General Resiliency Enhancement Framework for Load Frequency Control of Interconnected Power Systems Considering Internet of Things Faults

IEEE Transactions on Industrial Informatics

DOI: 10.1109/TII.2024.3397400

Contributors: Zhijian Hu, Renjie Ma, Bohui Wang, Yulong Huang, Rong Su

Publication Date: 2024

A Novel Handling Method to Intermittent Feedback in Load Frequency Regulation for Renewable Energy-Dominated Microgrids

IEEE Transactions on Instrumentation and Measurement

DOI: 10.1109/TIM.2024.3457958

Contributors: Zhijian Hu, Qingyang Li, Pu Zhang, Ruiping Wang, Kai Zhang

Publication Date: 2024

Adaptive Tracking Control for Uncertain Nonlinear Multi-Agent Systems With Partially Sensor Attack

IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/TASE.2024.3440394

Contributors: Guangliang Liu, Qiuye Sun, Hanguang Su, Zhijian Hu

Publication Date: 2024

Adversarial FDI Attack Monitoring: Toward Secure Defense of Industrial Electronics

IEEE Industrial Electronics Magazine

DOI: 10.1109/MIE.2023.3292988

Contributors: Renjie Ma, Zhijian Hu, Hongyan Yang, Yuchen Jiang, Mingyi Huo, Hao Luo, Rongni Yang

Publication Date: 2024

Consensus of Input Constrained Multi-Agent Systems by Dynamic Time-Varying Event-Triggered Strategy With a Designable Minimal Inter-Event Time

IEEE Transactions on Circuits and Systems II: Express Briefs

DOI: 10.1109/TCSII.2023.3332593

Contributors: Kai Zhang, Zhijian Hu, Fazhi Song, Xuefei Yang, Yang Liu

Publication Date: 2024

Distributed Secure Estimation Against Sparse False Data Injection Attacks

IEEE Transactions on Systems, Man, and Cybernetics: Systems

DOI: 10.1109/TSMC.2023.3344876

Contributors: Renjie Ma, Zhijian Hu, Lezhong Xu, Ligang Wu

Publication Date: 2024

Modeling Driver Decision Behavior of the Cut-In Process

IEEE Transactions on Intelligent Transportation Systems

DOI: 10.1109/TITS.2023.3330061

Contributors: Yun Lu, Rong Su, Lingying Huang, Jiarong Yao, Zhijian Hu

Publication Date: 2024

Periodic Event-Triggered and Self-Triggered Control of Spacecraft Rendezvous System With Input Delay

IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/TASE.2024.3439009

Contributors: Kai Zhang, Meilin Li, Zhijian Hu, Xuefei Yang, Kang-Kang Zhang

Publication Date: 2024

Resilient Distributed Frequency Regulation for Interconnected Power Systems With PEVs and Wind Turbines Against Temporary PMU Faults

IEEE Internet of Things Journal

DOI: 10.1109/JIOT.2024.3450725

Contributors: Zhijian Hu, Haifeng Qiu, Hassan Haes Alhelou, Rong Su, Renjie Ma

Publication Date: 2024

Conclusion

Mr. Seyed Mohammad Sharifhosseini | Engineering | Best Review Article Award

Mr. Seyed Mohammad Sharifhosseini, Shiraz University of Technology, Iran

Education

Mr. Seyed Mohammad Sharifhosseini is currently pursuing a Master’s degree in Power Systems at Shiraz University of Technology, Shiraz, Iran, where he has maintained an impressive GPA of 18.19/20 (equivalent to 3.86 out of 4). Prior to this, he completed his Bachelor’s degree in Electrical Engineering at the same university from 2017 to 2021, achieving a strong GPA of 17.51/20 (equivalent to 3.72 out of 4). His academic journey reflects consistent dedication and excellence in his field of study.

Professional Profiles

Google Scholar

Professional Experience

Teaching Assistant Roles (Shiraz University of Technology, Iran):

Industrial Drawing (Spring 2019): Assisted in the undergraduate course under the supervision of Prof. Omid Bavi. Proficient in Microsoft Office for course-related tasks.

Power System Analysis I (Spring 2020): Supported the undergraduate course under the supervision of Prof. Taher Niknam. Utilized MATLAB for computational and analytical tasks.

Power System Operation (Spring 2022): Aided in the graduate course under the guidance of Prof. Taher Niknam, focusing on advanced concepts in power systems and employing MATLAB for simulations and problem-solving.

Executive Assistant, Building Management System (BMS) (June 2022 – Present):

Currently working at ZOORIL Company, managing tasks related to Building Management Systems (BMS), contributing to system integration, and ensuring operational efficiency.

Research Interests

Power System Operation

Optimization in Power Systems

Renewable Energy Resources

Home Energy Management System

Cyber-Security in Power Systems

Academic Projects

B.Sc Thesis

Title: Dynamic Simulation of Capacitive Voltage Transformer (CVT) Considering Input Voltage Harmonics

Software Used: MATLAB

Supervised by: Prof. Amirhossein Rajaei

Description: Conducted a dynamic simulation of CVTs, focusing on the effects of input voltage harmonics.

Modern Control Project

Title: Design of Regulator, Tracker, and Observer in Linear Feedback Control System

Software Used: MATLAB/Simulink

Supervised by: Prof. Mokhtar Shasadeghi

Description: Developed advanced control systems incorporating regulators, trackers, and observers in linear feedback mechanisms.

Electrical Energy Distribution Project

Title: Detection and Location of Faults in Electric Power Distribution Networks

Supervised by: Prof. Mohsen Giti-zadeh

Description: Focused on fault detection and localization within electric power distribution systems, enhancing reliability and operational efficiency.

Power System Operation Project

Title: Economic Dispatch With Different Methods

Software Used: MATLAB

Supervised by: Prof. Taher Niknam

Description: Explored various methods for achieving economic dispatch in power systems, optimizing operational costs.

General Theory of Electrical Machines Project

Title: Simulation of Induction Machines in Synchronously Rotating Coordinates and Simulation of Single-phase Transformer with Four Types of Loads

Software Used: MATLAB/Simulink

Supervised by: Prof. Akbar Rahideh

Description: Conducted simulations of induction machines in synchronously rotating reference frames and analyzed transformer behavior under diverse load conditions.

Top Notable Publications

Accepted Publications

Investigating Intelligent Forecasting and Optimization in Electrical Power Systems: A Comprehensive Review of Techniques and Applications

Journal: Energies (Accepted)

Authors: S.M. Sharifhosseini, T. Niknam, M.H. Taabodi, H. Asadi Aghajari, E. Sheybani, G. Javidi, M. Pourbehzadi

Enhanced Resilience in Smart Grids: A Neural Network-Based Detection of Data Integrity Attacks Using Improved War Strategy Optimization

Journal: Electric Power Systems Research (EPSR) (Accepted)

Authors: H. Asadi Aghajari, T. Niknam, S.M. Sharifhosseini, M.H. Taabodi, M. Pourbehzadi

Under Revision

Analyzing Complexities of Integrating Renewable Energy Sources into Smart Grid: A Comprehensive Review

Journal: Applied Energy (Revised)

Authors: H. Asadi Aghajari, T. Niknam, S.M. Sharifhosseini, M.H. Taabodi, E. Sheybani, G. Javidi, M. Pourbehzadi

Submitted Publications

Optimizing Rural Microgrid’s Performance: A Scenario-Based Approach Using the Improved Multi-Objective Crow Search Algorithm Considering Uncertainty

Journal: IEEE Transactions on Smart Grid (Submitted)

Authors: M.H. Taabodi, T. Niknam, S.M. Sharifhosseini, H. Asadi Aghajari, S.M. Bornapour

A Hybrid Crow Search Algorithm and Coalitional Game Theory Approach for Optimal Plug-in Electric Vehicles’ Integration in Networked Microgrids

Journal: IEEE Transactions on Industrial Informatics (Submitted)

Authors: M.H. Taabodi, T. Niknam, S.M. Sharifhosseini, H. Asadi Aghajari

Conclusion

Mr. Abdullah Sukkar | Engineering | Best Researcher Award

Mr. Abdullah Sukkar, Istanbul Technic University, Turkey

Education

Ph.D. in Geomatics Engineering

Institution: Istanbul Technical University, Istanbul, Turkey

Duration: 2022 – Present

Research Area: Drought, Climate Change, Remote Sensing, GIS, Environment

M.Sc. in Geomatics Engineering

Institution: Istanbul Technical University, Istanbul, Turkey

Duration: 2020 – 2022

GPA: 3.75

Thesis Title: Turkey Forest Fire Decision Support System (TFFDSS)

B.Sc. in Geomatics Engineering

Institution: Hacettepe University, Ankara, Turkey

Duration: 2014 – 2019

Honors: Honor Student

Graduation Project: Land Cover Classification Using Satellite Imagery and Deep Learning

Professional Profiles

Scopus Profile

ORCID Profile

Professional Experience

Istanbul Technical University
Geographical Information Technologies Program | Istanbul, Turkey
Teaching Assistant
Feb 2024 – Jun 2024

Facilitated student learning on course topics, GIS software tools (ArcGIS and QGIS), and Python for spatial data analysis and remote sensing applications.

Designed and assessed assignments and projects to reinforce theoretical concepts through practical application.

Provided individualized academic support, ensuring student success in mastering geospatial technologies.

Istanbul Technical University
Geographical Information Technologies Program | Istanbul, Turkey
Teaching Assistant
Sep 2022 – Feb 2023

Guided students in Python programming for GIS applications, including spatial analysis and algorithm development.

Supported project development by reviewing student proposals, advising on algorithm design, and conducting code reviews.

Department of Urban and Regional Planning | Istanbul, Turkey
Teaching Assistant
Nov 2021 – Jun 2022

Designed course materials, prepared syllabi, and aligned teaching objectives with program goals.

Introduced Python, Jupyter Notebooks, and geospatial data visualization techniques to students.

Evaluated student performance through assignments, projects, and exams.

Alya Proje | Ankara, Turkey
Geomatics Engineer
Jul 2019 – Mar 2022

Contributed to 3D modeling projects and photogrammetric mapping processes.

Produced high-resolution digital maps for various applications.

Planned and executed UAV flights to capture geospatial data for mapping and analysis.

Research Interests

Drought Monitoring and Mitigation Strategies

Climate Change Impact Analysis

Remote Sensing Applications in Environmental Monitoring

Geospatial Data Analysis and Visualization

Spatial Analysis of Vegetation Trends Using NDVI

GIS-Based Environmental Planning and Management

Integration of Python in GIS and Remote Sensing

Development of Meteorological Geodatabases

Urban and Regional Planning Using Geospatial Technologies

Research Experience

Research Assistant
Qatar University, Doha, Qatar
Apr 2023 – Jul 2023

Led the preparation of a meteorological geodatabase for Qatar covering the past 40 years, utilizing EAR5 and ERA5-Land datasets.

Applied remote sensing techniques using Google Earth Engine, Python, and QGIS to create NDVI maps, analyzing long-term vegetation trends across Qatar.

Conducted spatiotemporal analysis to explore correlations between climatic conditions and vegetation cover, contributing to the understanding of environmental changes in the region.

Top Notable Publications

Tree Detection from Very High Spatial Resolution RGB Satellite Imagery Using Deep Learning

Authors: Abdullah Sukkar, Mustafa Turker

Year: 2024

Source: Recent Research on Geotechnical Engineering, Remote Sensing, Geophysics, and Earthquake Seismology

DOI: 10.1007/978-3-031-43218-7_34

ISBN: 9783031432170, 9783031432187

ISSN: 2522-8714, 2522-8722

Characterizing the Dynamics of Climate and Native Desert Plants in Qatar

Authors: Meshal Abdullah, Ammar Abulibdeh, Sophia Ghanimeh, Helmi Hamdi, Hezam Al-Awah, Talal Al-Awadhi, Midhun Mohan, Zahraa Al-Ali, Abdullah Sukkar, Ahmed M. El Kenawy

Year: 2024

Journal: Journal of Arid Environments

DOI: 10.1016/j.jaridenv.2024.105274

ISSN: 0140-1963

Investigating the Impacts of Climate Variations and Armed Conflict on Drought and Vegetation Cover in Northeast Syria (2000–2023)

Authors: Abdullah Sukkar, Ammar Abulibdeh, Sara Essoussi, Dursun Zafer Seker

Year: 2024

Journal: Journal of Arid Environments

DOI: 10.1016/j.jaridenv.2024.105278

Investigating Impacts of Climate Change and War on the Green Cover Area in Northeast Syria Between 2000 and 2023

Authors: Abdullah Sukkar, Sara Essoussi, Omar Alqaysi, Enes Hisam, Dursun Zafer Seker

Year: 2024

Preprint DOI: 10.5194/egusphere-egu24-20528

Conceptual Design of a Nationwide Spatial Decision Support System for Forest Fire Prevention and Fighting

Authors: Abdullah Sukkar, Ahmet Ozgur Dogru, Ugur Alganci, Dursun Zafer Seker

Year: 2024

Journal: Applied Geomatics

DOI: 10.1007/s12518-024-00556-9

ISSN: 1866-9298, 1866-928X

The Impacts of Weather Conditions and Topography on Manavgat Wildfire Behavior

Authors: Abdullah Sukkar, Anas Hesham, A. Ozgur Dogru, Dursun Zafer Seker

Year: 2022

Conference: International Symposium on Applied Geoinformatics 2021

DOI: 10.15659/isag2021.12510

 

Conclusion

Dr. Mohammad Waseem | Engineering | Best Researcher Award

Dr. Mohammad Waseem, Jamia Millia Islamia New Delhi, India

Dr. Mohammad Waseem is an accomplished academic and researcher currently serving as an Assistant Professor in the Faculty of Engineering & Technology at Jamia Millia Islamia (JMI), New Delhi, India. With a strong background in mechanical engineering and extensive experience in both teaching and research, he has contributed significantly to advancing knowledge in battery technologies and energy systems.

Education:

Professional Profiles:

ORCID Profile

Professional Experience:

Dr. Waseem has extensive teaching experience in mechanical and energy engineering across multiple institutions. His career spans over seven years, including:

Assistant Professor and Researcher, Faculty of Engineering & Technology, Jamia Millia Islamia, New Delhi (2020–Present):

Teaching and mentoring students in mechanical and energy engineering.

Developing research initiatives and establishing advanced facilities like the Mechatronics Laboratory.

Assistant Professor, Galgotias University, Greater Noida (2019–2020):

Delivered lectures in mechanical engineering with a focus on energy systems and design.

Assistant Professor, Department of Mechanical Engineering, Integral University, Lucknow (2013–2015):

Taught courses on core mechanical engineering subjects and supervised undergraduate projects.

Research Interests:

Dr. Waseem’s research interests are focused on innovative technologies and methodologies in the field of energy systems, particularly those applicable to electric vehicles (EVs). His areas of expertise include:

Battery energy storage systems for EVs.

Simulation and modeling of batteries.

Lithium-ion and solid-state batteries.

Fuel cells.

Battery management systems (BMS) and battery thermal management systems.

Safety concerns in battery design and operation.

Integration of Artificial Intelligence (AI) and Internet of Things (IoT) in BMS.

Charging infrastructure for EVs, including wireless power transfer techniques.

Renewable energy integration with EV systems.

ORGANIZATION OF SEMINARS AND WORKSHOPS

Volunteer, Advances in Robotics international conference, at Department of Mechanical Engg., IIT Delhi. June 28 to July 02, 2017.
Volunteer, International Conference and Exhibition on Building Utilities, at Department of Mechanical Engineering. Faculty of Engg. & Tech. Jamia Millia Islamia, New Delhi-25. Dec. 01- 03, 2016.
Volunteer, National Seminar on Solar Robotics, at Department of Mechanical Engineering. Faculty of Engg. & Tech. Jamia Millia Islamia, New Delhi-25. Oct. 08- 10, 2015.
Faculty Coordinator, Water Rocket Launch and Air Wizard Show, Department of Mechanical Engineering, at Integral University Lucknow on March 16, 2015.

Research & Development Achievements

Dr. Waseem has demonstrated leadership in academic publishing and collaboration:

Editor-in-Chief of the IFR Journal of Engineering and Natural Science, Jordan.

Reviewer for prestigious journals, including Science Direct, Springer, Wiley, IEEE, and IJAME, since 2019.

Editorial Board Member of the International Journal of Transportation Engineering and Technology (2021–2023).

Published research on modeling and analysis, such as the study of a connecting rod for a Pulsar 180CC bike (DOI: 10.1088/2631-8695/ac1727).

Top Notable Publications:

Energy Storage Technology and Electric Vehicles

Next Energy, 2025-01

DOI: 10.1016/j.nxener.2024.100202

Focus: Current progress and future outlook in energy storage and its impact on EVs.

Contributors: Mohammad Waseem, G. Sree Lakshmi, Mumtaz Ahmad, Mohd Suhaib.

Charging Infrastructure in Electric Mobility

Energies, 2024-12-05

DOI: 10.3390/en17236137

Focus: Integrated review of state-of-the-art advancements in charging infrastructure.

Contributors: Mohammad Waseem, Eniganti Sreeshobha, Kotha Shashidhar Reddy, Teresa Donateo.

Electric Vehicle Batteries and Management Techniques

Energy Storage and Saving, 2024-10-15

DOI: 10.1016/j.enss.2024.09.002

Focus: Obstacles, advancements, and recommendations in EV battery technologies.

Contributors: Mohammad Waseem, G. Sree Lakshmi, Sreeshobha Eniganti, Shahbaz Khan.

Wireless EV Charging Circuit Topologies

Green Energy and Intelligent Transportation, 2024-03

DOI: 10.1016/j.geits.2024.100196

Focus: Review of compensation converters in wireless EV charging.

Contributors: Mohammad Amir, Izhar Ahmad, Mohammad Waseem, Mohd Tariq.

Energy Storage System for E-Rickshaws in India

Book Chapter, 2023

DOI: 10.1007/978-981-99-1894-2_40

Focus: Analysis of energy storage solutions for e-rickshaws.

Contributors: Mohammad Waseem, Mumtaz Ahmad, Aasiya Parveen, Mohd Suhaib.

Fuel Cell-based Hybrid Electric Vehicles

Green Energy and Intelligent Transportation, 2023-12

DOI: 10.1016/j.geits.2023.100121

Focus: Current status, challenges, and future prospects of fuel cell hybrid vehicles.

Contributors: Mohammad Waseem, Mohammad Amir, G. Sree Lakshmi, S. Harivardhagini, Mumtaz Ahmad.

Battery Management Systems for EVs

Journal of Power Sources, 2023-10

DOI: 10.1016/j.jpowsour.2023.233349

Focus: Challenges and advancements in battery management systems.

Contributors: Mohammad Waseem, Mumtaz Ahmad, Aasiya Parveen, Mohd Suhaib.

Simscape Modeling for Solar Electric Traction Systems

Transactions of the Indian National Academy of Engineering, 2023-09

DOI: 10.1007/s41403-023-00408-9

Focus: Simulation and analysis of solar-assisted electric traction systems.

Contributors: Mohammad Waseem, Mumtaz Ahmad, Mohd. Suhaib.

Renewable Solar Energy with Autonomous Vehicles

Lecture Notes in Civil Engineering, 2020

DOI: 10.1007/978-981-15-2545-2_13

Focus: Review of solar energy applications in autonomous vehicles.

Contributors: Waseem, M., Sherwani, A.F., Suhaib, M.

Integration of Solar Energy in Vehicles

SN Applied Sciences, 2019-11

DOI: 10.1007/s42452-019-1458-4

Focus: Technological advancements in solar energy integration for EVs.

Contributors: Mohammad Waseem, Ahmad Faizan Sherwani, Mohd Suhaib.

Conclusion: