Akanksha Dwivedi | Biomedical Engineering Control | Women Researcher Award

Published on by Global Mechanics Awards

Ms. Akanksha Dwivedi | Biomedical Engineering Control | Women Researcher Award

Research Scholar | IIT Patna | India

Akanksha Dwivedi is a dedicated research scholar currently pursuing her Ph.D. in Electrical Engineering at the Indian Institute of Technology (IIT) Patna. With a deep passion for innovation and applied engineering, she aims to contribute impactful research to the fields of robust control systems and biomedical engineering. Before entering academia, Akanksha worked as a Senior System Engineer at Infosys Limited from 2019 to 2021, where she honed her technical and problem-solving skills in real-world industry settings. She actively contributes to academic events and has coordinated several initiatives, including Research Scholar Day at IIT Patna and DISHNA Techfest during her undergraduate years. Akanksha is also a multifaceted individual, recognized in state-level pageants and entrepreneurial programs such as Jagriti Yatra and the Ship for World Youth Leaders by the Government of Japan. Her research efforts have been recognized with multiple accolades, including a Best Paper Award at RITEEC 2025 for her work on optimization-based control systems.

Professional Profile

Scholar

Education 

Akanksha Dwivedi is currently enrolled in a Ph.D. program in Electrical Engineering at the Indian Institute of Technology (IIT) Patna, where she holds. She completed her B.Tech in Electrical and Electronics Engineering from the School of Engineering at Cochin University of Science and Technology (CUSAT), Kochi, achieving an impressive. Her academic journey started at Jawahar Navodaya Vidyalaya (JNV) Ramabai Nagar, where she secured. Her hands-on learning includes internships at SIEMENS, KMRL, and BSES Rajdhani Power Ltd., where she gained practical knowledge in power systems, automation, and electrical machinery. Her academic projects span critical areas such as smart grid integration, lithium-ion battery storage systems for ISRO, and IoT-based automation in renewable energy. Akanksha’s academic rigor is complemented by strong participation in co-curricular activities and competitions.

Experience

Akanksha Dwivedi worked as a Senior System Engineer at Infosys Limited from 2019 to 2021. During her tenure, she was involved in critical software and systems engineering tasks that enhanced her analytical, coding, and project management skills. Her work in the IT industry exposed her to enterprise-level challenges and helped her develop a structured approach to problem-solving. Transitioning from the corporate to academic world, she pursued doctoral research at IIT Patna starting in 2022, with a focus on robust controller design and optimization for biomedical and energy systems. In addition to technical roles, Akanksha has held several leadership positions in event organization—such as being a coordinator for DISHNA Techfest and Research Scholar Day—demonstrating her ability to manage projects and lead teams. Her engineering experience is further supported by hands-on training in automation and power systems through internships at SIEMENS, KMRL, and BSES Rajdhani Power Ltd., highlighting her versatile technical background.

Research Focus 

Akanksha Dwivedi has received several prestigious awards and recognitions throughout her academic and professional journey. Most recently, she won the at RITEEC 2025 for her research on “Crayfish Optimization-based Tuning of Fractional PI Controller for Blood Pressure Regulation.” In 2017, she was selected for the Ship for World Youth Leaders Programme, a global leadership initiative supported by the Government of Japan. The same year, she was a finalist in the , participated in the Jagriti Yatra, and emerged as a finalist in  national startup competition. She also secured the , hosted by NIT Trichy in 2016. Outside the academic field, she was a finalist in pageants like These accolades reflect her multifaceted talent in leadership, research, innovation, and personal development.

Awards and Honors

She utilizes advanced tools like to simulate and validate her models. Her innovative use of graphical techniques nature-inspired algorithms Crayfish Optimization provides novel solutions to real-world control challenges. Akanksha’s research is strongly interdisciplinary, intersecting electrical engineering, biomedical systems, and applied mathematics. She collaborates closely with her advisor Prof. Ahmad Ali and team members to produce impactful publications in peer-reviewed journals and conferences. Her future research interests include smart healthcare systems, renewable energy integration, and real-time embedded control systems. Akanksha aims to contribute scalable, cost-effective solutions to enhance human health and sustainable energy technologies.

Publication Top Notes

1. Robust controller design strategies with improved performance for MSBR core
2. A Novel Graphical Design of Fractional-Order PI-PD Controller for Blood Pressure Regulation
3. Loop Shaping Based Robust Controller Design for Boost Converter in DC Microgrid
4. Stability Region Based Graphical Methods for Controller Design: An Outline Survey
5. Crayfish Optimization based Tuning of Fractional PI Controller for Blood Pressure Regulation
6. Design of PI Controller for Artificially Ventilated Human Respiratory System using Crayfish Optimization

Prof. Dr. Karim El Moutaouakil | Control optimal | Best Researcher Award

Published on by Global Mechanics Awards

Prof. Dr. Karim El Moutaouakil | Control optimal | Best Researcher Award

Professor,  Sidi Mohamed Ben Abdellah University, Morocco.

Mouhamed Ettaouil is a highly skilled individual with a strong background in computer science and operations research. He has obtained multiple advanced degrees, including PhDs from Ibn Tofail University and the Faculty of Sciences and Techniques of Fez. His expertise lies in artificial intelligence, data analytics, and statistical learning, with a focus on designing decision-making systems in computer vision, logistics, and economics.

Professional Profile

scopus

Education 🎓

*PhD in Statistical Learning*, Ibn Tofail University, Morocco (2017)*PhD in Computer Science and Operations Research*, Faculty of Sciences and Techniques of Fez, Morocco (2011)*Master in Applied Mathematics*, Faculty of Science and Technology of Fez (1998-1999)*Artificial Intelligence Analyst/Business Analytics*, University of Colorado Boulder, USA (2020)*Artificial Intelligence Analyst*, Skills Academy, IBM, USA (2020)

Experience 💼

*PhD in Statistical Learning*, Ibn Tofail University, Morocco (2017)*PhD in Computer Science and Operations Research*, Faculty of Sciences and Techniques of Fez, Morocco (2011)*Master in Applied Mathematics*, Faculty of Science and Technology of Fez (1998-1999)*Artificial Intelligence Analyst/Business Analytics*, University of Colorado Boulder, USA (2020)*Artificial Intelligence Analyst*, Skills Academy, IBM, USA (2020)

 

Research Focus 🔍

*PhD in Statistical Learning*, Ibn Tofail University, Morocco (2017)*PhD in Computer Science and Operations Research*, Faculty of Sciences and Techniques of Fez, Morocco (2011)*Master in Applied Mathematics*, Faculty of Science and Technology of Fez (1998-1999)*Artificial Intelligence Analyst/Business Analytics*, University of Colorado Boulder, USA (2020)*Artificial Intelligence Analyst*, Skills Academy, IBM, USA (2020)

Awards and Honors 🏆

– Mastery Award Badge, Skills Academy, IBM, USA (2020)

Publication Top Notes

– The Continuous Hopfield Networks (CHN) for the placement of the Electronic Circuit Problem 💻
– The Placement of Electronic Circuits Problem: A Neural Network Approach 🤖
– Improved Optimal Competitive Hopfield Network for the Maximum Stable Set Problem 📊
– Image Medical Compression by A new Architecture Optimisation Model for the Kohonen Networks 🏥
– A new architecture optimization model for the Kohonen networks clustering 📈
– A new algorithm to reduce the size of the continuous Hopfield network 💻
– Learning Algorithm of Kohonen Network With Selection Phase 📚
– A New Algorithm for Optimization of the Kohonen Network Architectures Using the Continuous Hopfield Networks

 

Conclusion

 

The candidate’s strong educational background, diverse research experience, and published papers make them a compelling candidate for the Best Researcher Award. By highlighting collaboration, impact, and research continuity, the candidate could further strengthen their application and demonstrate their potential for continued excellence in research.

Yunfeng Wen | Power systems plannning and operation | Best Researcher Award

Published on by Global Mechanics Awards

Prof. Yunfeng Wen | Power systems plannning and operation | Best Researcher Award

Professor,Hunan University, China

Yifan Wen is a Professor at the National Power Conversion and Control Engineering Technology Research Center, College of Electrical and Information Engineering, Hunan University. His research focuses on power systems, renewable energy integration, and energy internet. He has published numerous papers and serves as an associate editor for several IEEE and IET journals.

Profile

scopus

Education 🎓

B.S. in Electrical Engineering, Sichuan University, China (2010) Ph.D. in Electrical Engineering, Zhejiang University, China (2015)

Experience 🧪

Lecturer, Chongqing University, China (2015-2018)  Associate Professor, Hunan University, China (2018-2022) Professor, Hunan University, China (2023-present)  Post-Doctoral Research Fellow, University of Saskatchewan, Canada (2016-2017)  Visiting Scholar, University of Washington, USA (2012-2013

Awards & Honors �

Unfortunately, the provided text does not mention specific awards or honors received by Yifan Wen.

Research Focus 🔍

Power Systems Planning and Operation: Investigating the planning and operation of power systems with high penetration of renewable energy sources.  Grid Integration of Renewables and Storages: Developing strategies for integrating renewable energy sources and energy storage systems into the grid. Artificial Intelligence and Data Analytics for Energy Internet: Applying artificial intelligence and data analytics techniques to optimize energy internet operations.  Stability Analysis and Control of Low-Inertia Grids: Investigating the stability analysis and control of low-inertia grids with high penetration of renewable energy sources.

Publications📚

1. An Iteration-Based Minimum Inertia Requirement Assessment Method Considering Frequency Security Constraints 💡
2. Inertia Security Evaluation and Application in Low-Inertia Power Systems 🔋
3. Total Transfer Capacity Evaluation of HVDC Tie-lines Under Frequency Security Constraints 💻
4. Coordinated Planning Method for New Energy Station Siting and Network Considering Short Circuit Ratio Constraints 📈
5. Emergency Frequency Control Strategy for Double-high Sending-end Grids With Coordination of Multiple Resources 🚨
6. Operating Reserve Capacity Allocation Strategy and Optimization Model with Coordinated Participation of Source-Network-Load-Storage 📊
7. Estimation of Medium- and Long-term Inertia Level Tendency for Power System and Its Application 🔍
8. Short-circuit Current Suppression Strategy for Receiving-end Power Grid Based on Coordination of Current Limiter Configuration and Network Structure Optimization 🔌
9. Inertia Requirement of Power System: Concepts, Indexes, and Evaluation Method 📝
10. Review on the New Energy Accommodation Capability Evaluation Methods Considering Multi-dimensional Factors 📊

Conclusion 🏆

Yifan Wen’s impressive academic and research experience, interdisciplinary research approach, academic affiliations, awards and honors, and research output make him a strong candidate for the Best Researcher Award. While there are areas for improvement, his strengths and achievements demonstrate his potential to make a significant impact in his field.

Zhangbao Xu | nonlinear control | Best Researcher Award

Published on by Global Mechanics Awards

Assoc. Prof. Dr. Zhangbao Xu | nonlinear control | Best Researcher Award

Associate Professor at Fuyang Normal University, China

Zhangbao Xu is an Associate Professor at Fuyang Normal University, China, specializing in high-accuracy servo control, adaptive control, and intelligent mechatronic systems. He earned his Ph.D. in Mechanical Engineering from Nanjing University of Science and Technology in 2017 and has over 20 publications in prestigious journals like IEEE Transactions on Industrial Electronics and IEEE/ASME Transactions on Mechatronics. He has served as a guest editor for Electronics and Actuators. His research integrates robust and intelligent control strategies for mechatronic applications.

Publication Profile

scopus

Education 🎓

Ph.D. in Mechanical Engineering (2017) – Nanjing University of Science and Technology, China B.S. in Mechanical Engineering and Automation (2012) – Huaqiao University, Xiamen, China

Experience 💼

Associate Professor (2023–Present) – School of Computer and Information Engineering, Fuyang Normal University, China Postdoctoral Researcher (2021–2023) – Nanjing University of Aeronautics and Astronautics, China Lecturer (2017–2023) – School of Mechanical Engineering, Anhui University of Technology, China

Awards and Honors 🏆

Guest Editor – Electronics, Actuators Published in Top Journals – IEEE Transactions on Industrial Electronics, IEEE Transactions on Automation Science and Engineering Recognition for Research Contributions – High-impact publications in mechatronics, control systems, and intelligent automation

Research Focus 🔬

Zhangbao Xu’s research centers on high-accuracy servo control, adaptive control, robust control, and intelligent control for mechatronic systems, emphasizing real-time applications, precision engineering, and industrial automation. 🚀

Publications 📖

🔹 Total Publications: 7+ in top-tier journals 📚
🔹 Total Citations: 54+ (as per listed articles) 📈
🔹 Key Focus Areas: Adaptive control, prescribed performance control, robust servo systems ⚙️

📌 Notable Papers & Impact

✅ Barrier Lyapunov Function-Based Adaptive Output Feedback Prescribed Performance Controller for Hydraulic Systems (2023) – 38 citations
✅ Observer-Based Prescribed Performance Adaptive Neural Output Feedback Control (2023) – 15 citations
✅ Adaptive Prescribed Performance Output Feedback Control for Full-State-Constrained DC Motors (2024) – 1 citation
✅ RISE-Based Asymptotic Adaptive Prescribed Performance Control for DC Motors (2025) – Newly published

His research spans industrial automation, nonlinear system control, and mechatronics, with strong contributions in IEEE Transactions and European Journal of Control. 🚀

Conclusion 🎯

Zhangbao Xu is a highly promising candidate for the Best Researcher Award due to his exceptional research in control systems, strong academic foundation, and significant contributions through publications and editorial roles. To strengthen his candidacy further, expanding his international network, increasing research citations, and fostering industry ties would further elevate his influence and recognition.

Yuqin Wang | Mechanical system testing and control | Best Researcher Award

Published on by Global Mechanics Awards

Prof. Yuqin Wang | Mechanical system testing and control | Best Researcher Award

University teacher at  Chaohu University, China

🌟 Yuqin Wang is an associate professor in the School of Mechanical Engineering at Chaohu University, China. 🏫 With a passion for advancing engineering education, he has made significant contributions to the design of virtual simulation systems and mechanical system testing and control. 💻🔧 Yuqin has presided over five teaching and research projects and published multiple SCI-indexed papers that enhance the engineering practice abilities of students. 📚🎓 His innovative “One Body, Two Wings” virtual simulation teaching system combines online and offline resources, fostering student innovation and professional skills in intelligent manufacturing. 🤖✨ Yuqin’s dedication to integrating technology into teaching has made him a leading figure in modern engineering education.

 

Professional Profiles:

orcid

Education 🎓

Postgraduate Degree in Mechanical Engineering Institution: Chaohu University Yuqin Wang completed his postgraduate studies focusing on mechanical system testing and control. His academic background reflects a strong commitment to integrating technology into traditional engineering disciplines, enabling innovative applications in teaching and research. ✨📚

Experience 💼

Associate Professor: Chaohu University Focused on virtual simulation, mechanical system testing, and control.  Implemented advanced teaching methodologies for intelligent manufacturing professionals.  Published 10+ SCI-indexed academic papers on engineering education.

Awards and Honors 🏆

Notable Contributions: Recognized for innovative virtual simulation teaching methodologies.  Publications: 10 SCI-indexed papers.

Research Focus 📚

Area: Virtual simulation design for intelligent manufacturing. Impact: Enhancing practical and cognitive engineering skills.

✍️Publications Top Note :

Optimization Design of Centrifugal Pump Flow Control System Based on Adaptive Control

Conclusion

Yuqin Wang is a strong contender for the Best Researcher Award due to his dedication to advancing mechanical system testing and virtual simulation. His research has significantly impacted engineering education and professional development. Addressing areas like patents, industry collaborations, and broader outreach can further solidify his position as an innovator and leader in his field.