Seyyed Ali Zendehbad | Engineering | Editorial Board Member

Dr. Seyyed Ali Zendehbad | Engineering | Editorial Board Member

Islamic Azad University, Mashhad | Iran

Author Profile

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Early Academic Pursuits 🎓

Dr. Zendehbad’s academic journey began with a strong foundation in electronic and information technology engineering. He pursued multiple degrees, culminating in a Ph.D. in Biomedical Engineering from the Islamic Azad University of Mashhad. His doctoral research focused on improving upper limb function in stroke patients using biofeedback and muscle synergy analysis—an innovative approach with profound implications for rehabilitation science.

Professional Endeavors 👨‍🏫

Dr. Zendehbad has an impressive academic career as a professor and head of the Biomedical Engineering department at various prestigious institutions. He has taught specialized courses such as neuromuscular system control, biological system modeling, and biomedical research methodologies. Beyond academia, he has contributed to industry research, including the development of imaging quality enhancements for functional hard endoscopes.

Contributions and Research Focus 🔬

Dr. Zendehbad’s research primarily focuses on:
✅ Electromyogram (EMG) signal classification and analysis
✅ Muscle synergy patterns in stroke rehabilitation
✅ AI-driven biofeedback and assistive technologies
✅ Telehealth solutions and trustworthy AI applications in medical engineering

His work in stroke rehabilitation, particularly in biofeedback mechanisms and AI-driven recovery systems, has set new benchmarks in the field.

Accolades and Recognition 🏅

Dr. Zendehbad’s pioneering work has been recognized with several prestigious awards:
🏆 First Place - 31st Congress of Neurology and Clinical Electrophysiology (2024)
🏆 First Place - Shahid Beheshti University Startup Competition in Telerehabilitation (2021)
🏆 First Place - Mashhad University of Medical Sciences Startup Competition (2020)

These accolades reflect his outstanding contributions to medical engineering and rehabilitation technologies.

Impact and Influence 🌍

Dr. Zendehbad’s research has had a profound impact on both academia and industry. His contributions to AI-driven rehabilitation technologies have paved the way for more effective stroke recovery methods. Additionally, his role in startup competitions has facilitated innovation in telehealth and telerehabilitation, making cutting-edge healthcare solutions more accessible.

Legacy and Future Contributions 🚀

Dr. Zendehbad continues to push the boundaries of biomedical engineering. His ongoing research in AI applications for fatigue detection (FatigueNet project) and telehealth ethics (Trustworthy AI in Telehealth) demonstrates his forward-thinking approach. His legacy will undoubtedly inspire future researchers and innovators in the field of bioelectric engineering and medical technology.

 

Publications


📄 TraxVBF: A Hybrid Transformer-xLSTM Framework for EMG Signal Processing and Assistive Technology Development in Rehabilitation

  • Authors: Seyyed Ali Zendehbad, Athena Sharifi Razavi, Marzieh Allami Sanjani, Zahra Sedaghat, Saleh Lashkari
  • Journal: Sensing and Bio-Sensing Research
  • Year: 2025

📄 Identifying The Arm Joint Dynamics Using Muscle Synergy Patterns and SVMD-BiGRU Hybrid Mechanism

  • Authors: Seyyed Ali Zendehbad, Hamid Reza Kobravi, Mohammad Mahdi Khalilzadeh, Athena Sharifi Razavi, Payam Sasan Nezhad
  • Journal: Frontiers in Biomedical Technologies
  • Year: 2024

📄 Presenting a New Muscle Synergy Analysis Based Mechanism to Design a Trackable Visual Biofeedback Signal: Applicable to Arm Movement Recovery After Ischemic Stroke

  • Authors: Seyyed Ali Zendehbad, Hamid Reza Kobravi, Mohammad Mahdi Khalilzadeh, Athena Sharifi Razavi, Payam Sasan Nezhad
  • Journal: IEEE Access
  • Year: 2023

📄 A New Visual Biofeedback Protocol Based on Analyzing the Muscle Synergy Patterns to Recover the Upper Limbs Movement in Ischemic Stroke Patients: A Pilot Study

  • Authors: Seyyed Ali Zendehbad, Hamid Reza Kobravi, Mohammad Mahdi Khalilzadeh, Athena Sharifi Razavi, Payam Sasan Nezhad
  • Journal: The Neuroscience Journal of Shefaye Khatam
  • Year: 2023

📄 Investigation and Analysis of Feature Extraction Methods Based on Multi-Objective Genetic Algorithm and Support Vector Machine for Classification of Electromyogram Signals of Arm Muscles

  • Authors: Seyyed Ali Zendehbad, Siyamak Haghipour, Hamid Reza Kobravi, Seyyed Amir Zendehbad
  • Journal: Journal of New Research in Engineering Sciences
  • Year: 2016

 

Hongfei Yang | Engineering | Best Researcher Award

Assoc Prof Dr. Hongfei Yang | Engineering | Best Researcher Award

Shihezi University | China

Author Profile

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🌱 Early Academic Pursuits

Dr. Hongfei Yang’s academic journey is marked by an impressive foundation in engineering and scientific disciplines. He earned his Bachelor's degree in Mechanical Design, Manufacturing, and Automation from Dalian University in 2016. Following this, he pursued his Master’s in Mechanical Design and Theory at Jilin University, complemented by a joint training program at Cambridge University. These early years laid a solid groundwork in mechanical design, equipping him with a unique blend of theoretical knowledge and practical skills.

💼 Professional Endeavors

Currently an Associate Professor in Electronic Information Engineering at Shihezi University, Dr. Yang has dedicated his career to advancing precision engineering and measurement technology. His experience includes a rigorous doctoral program in Testing and Measurement Technology at Jilin University, where he focused on developing innovative solutions in instrument technology. Dr. Yang's professional path reflects his commitment to impactful research and teaching in electronic and mechanical engineering fields.

📚 Contributions and Research Focus

Dr. Yang’s research is distinguished by its focus on magnetic sensing and machine vision, especially in applications for unstructured environments and deep-earth observations. As the first author of 11 academic papers with a cumulative impact factor of 59.4, he has made substantial contributions to journals like IEEE Transactions on Geoscience and Remote Sensing and IEEE Sensors Journal. His work addresses pressing challenges in instrument measurement, such as developing methods for identifying rail defects and creating robust magnetic sensing systems. His expertise extends to multiple patents, demonstrating practical solutions for applications ranging from long-term monitoring in extreme environments to automated mushroom collection devices.

🏆 Accolades and Recognition

Dr. Yang’s contributions have been recognized with numerous honors. Among them are the prestigious National Scholarship for Doctoral Students in China, awarded by the Ministry of Education, and Jilin University's First-Class Doctoral Excellence Scholarship. His scholarly achievements and dedication have earned him the title of "Outstanding Graduate" and the Geological Instrument Scholarship from Jilin University. These accolades reflect his exceptional research performance and his ongoing impact in his field.

🌍 Impact and Influence

Dr. Yang’s influence extends beyond academia, as he actively participates in shaping engineering knowledge as a reviewer for top journals like IEEE Transactions on Instrumentation and Measurement. His work on projects, such as the National Natural Science Foundation of China project on environmental recognition for engineering vehicles, has pushed the boundaries of how advanced data processing can improve machine vision in complex environments. His contributions to deep borehole observation technology are advancing our understanding of deep-earth environments, with applications in various scientific and industrial domains.

🏅 Legacy and Future Contributions

Dr. Yang’s career represents a blend of innovation, interdisciplinary expertise, and real-world applications. His research in precision engineering, machine vision, and magnetic sensing continues to inspire advancements in technology and scientific exploration. His legacy lies in both his published works and his commitment to teaching, mentoring, and advancing engineering research. Looking forward, Dr. Yang is set to further enrich the field of electronic information engineering, leaving an enduring impact on the next generation of scientists and engineers.

 

Publications


📝 SwinLabNet: Jujube Orchard Drivable Area Segmentation Based on Lightweight CNN-Transformer Architecture

Authors: Mingxia Liang, Longpeng Ding, Jiangchun Chen, Liming Xu, Xinjie Wang, Jingbin Li, Hongfei Yang
Journal: Agriculture
Year: 2024


📝 Neural Network-Based 3D Point Cloud Detection of Targets in Unstructured Environments

Authors: D. Wang, H. Yang, Z. Yao, Z. Chang, Y. Wang
Journal: Advances in Mechanical Engineering
Year: 2024


📝 MI-FPD: Magnetic Information of Free Precession Signal Data Measurement Method for Bell-Bloom Magnetometer

Authors: D. Bai, L. Cheng, Y. Sun, H. Yang, Y. Wang
Journal: IEEE Transactions on Geoscience and Remote Sensing
Year: 2024


📝 Efficient Measurement of Free Precession Frequency in Bell-Bloom Atomic Magnetometers

Authors: D. Bai, Y. Zhou, Y. Sun, H. Yang, Y. Wang
Journal: IEEE Transactions on Instrumentation and Measurement
Year: 2024


📝 EHA-YOLOv5: An Efficient and Highly Accurate Improved YOLOv5 Model for Workshop Bearing Rail Defect Detection Application

Authors: J. Hu, H. Yang, J. He, D. Bai, H. Chen
Journal: IEEE Access
Year: 2024


 

Guangyin Zhang | Engineering | Best Research Article Award

Mr. Guangyin Zhang | Engineering | Best Research Article Award

University of Pittsburgh | United States

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Early Academic Pursuits 📚

Mr. Guangyin Zhang's journey into optical engineering began with his bachelor’s dissertation at the China University of Petroleum, where he focused on acetylene detection using Photoacoustic Spectroscopy (PAS). This initial exploration laid the foundation for his profound interest in PAS and Optical Fiber Acoustic Sensors (OFAS). Building on this, he pursued a master's degree at Dalian University of Technology, where he honed his focus on OFAS and utilized the Cross-Correlation method for acoustic detection, leading to a significant master's thesis. His academic path has been marked by a continuous passion for cutting-edge optical engineering research.

Professional Endeavors 👨‍🔬

Upon completing his academic studies, Mr. Zhang's professional research advanced into various groundbreaking projects. Notable among them is his work on optical multireflection simulations powered by machine learning. He has been involved in highly sensitive gas detection systems and low-frequency acoustic detection for pipeline leakage. Each of his projects showcases his exceptional ability to merge theoretical knowledge with practical applications, making meaningful strides in improving the performance and reliability of optical sensors. His contributions to long-term monitoring of gases like CH4 and H2S in gas-insulated switchgear systems exemplify his expertise in creating innovative detection mechanisms.

Contributions and Research Focus 🔬

Mr. Zhang’s research primarily focuses on enhancing PAS and OFAS technologies, driving advancements in areas like trace gas detection and acoustic sensor systems. He has proposed improvements to system performance by optimizing multireflection mirror simulations and leveraging the Cross-Correlation principle to enhance sensor sensitivity. His study on low-frequency optical fiber Fabry-Perot acoustic sensors and 3D-printed resonant photoacoustic cells has further enriched the field of optical engineering. His work transcends traditional methods, incorporating differential approaches to improve signal-to-noise ratios, which has vast implications for environmental monitoring and industrial applications.

Accolades and Recognition 🏆

Mr. Zhang's impactful contributions to the field have been widely recognized. His research has led to the publication of 19 papers, with a citation count of 395 and an H-index of 12, establishing him as a prolific and influential researcher. His first-author papers published in high-impact journals such as Sensors and Actuators A: Physical and the Journal of Lightwave Technology demonstrate the academic community's recognition of his innovative work. He has also been involved in various competitive research projects, further amplifying his influence in optical engineering.

Impact and Influence 🌍

The significance of Mr. Zhang’s research extends beyond academia, influencing real-world applications. His work on gas detection systems has the potential to revolutionize how industries monitor harmful gases, improving safety standards across sectors like energy and manufacturing. Additionally, his development of low-frequency acoustic detection systems aids in identifying pipeline leaks, offering a vital tool for maintaining infrastructure integrity. His research ensures that advancements in optical engineering continue to solve pressing global challenges.

Legacy and Future Contributions 🌟

Mr. Zhang’s contributions to optical engineering mark the beginning of a promising career. His future work will undoubtedly push the boundaries of PAS and OFAS technologies. With a focus on long-term monitoring solutions and enhancing sensor performance, he is poised to make even greater strides in optical engineering. His dedication to innovation and collaboration will ensure his legacy as a leading figure in the field, inspiring future generations of researchers and engineers.

 

Publications


📄  "A Hermetic Package Technique for Multi-Functional Fiber Sensors through Pressure Boundary of Energy Systems Based on Glass Sealants"
Authors: Zhichun Fan, Shuda Zhong, Kehao Zhao, Qirui Wang, Yuqi Li, Guangyin Zhang, Guangqun Ma, Jieru Zhao, He Yan, Zhiyong Huang, et al.
Journal: Photonics
Year: 2024


📄  "Simulation Analysis of Mode Hopping Impacts on OFDR Sensing Performance"
Authors: Qirui Wang, Nageswara Lalam, Kehao Zhao, Shuda Zhong, Guangyin Zhang, Ruishu Wright, Kevin P. Chen
Journal: Photonics
Year: 2024


📄  "Miniaturized Non-resonant Photoacoustic Gas Analyzer for CO2 Detection"
Authors: Guangyin Zhang, Min Guo, Xinyu Zhao, Dongyu Cui, Lin Xu, Nan Wang, Rui Ni, Hongchao Qi, Jikuan Zhao, Ke Chen
Journal: Microwave and Optical Technology Letters
Year: 2023


📄  "Low-frequency Optical Fiber Fabry-Perot Acoustic Sensor Based on All-phase Cross-correlation Demodulation"
Authors: Guangyin Zhang, Zijian Xiong, Min Guo, Ke Chen, Xinyu Zhao, Lin Xu, Nan Wang, Rui Ni, Zhenfeng Gong, Wei Peng
Journal: Journal of Lightwave Technology
Year: 2022


📄  "Miniature 3D-printed Resonant Photoacoustic Cell for Flowing Gas Detection"
Authors: Guangyin Zhang, Ke Chen, Min Guo, Chenxi Li, Lin Xu, Nan Wang, Xinyu Zhao
Journal: Sensors and Actuators A: Physical
Year: 2022


 

Preeta Sharan | Engineering | Best Researcher Award

Dr. Preeta Sharan | Engineering | Best Researcher Award

The Oxford College of Engineering | India

Author Profile

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Early Academic Pursuits 🎓

Dr. Preeta Sharan's academic journey began with a strong foundation in engineering and technology. She completed her Ph.D. from the Institute of Technology (IT), Banaras Hindu University (BHU) in 1998. Following this, she pursued post-doctoral research at the prestigious Indian Institute of Technology (IIT), Kharagpur, in 2002. These formative years were marked by rigorous research and academic excellence, setting the stage for her future contributions to the field of engineering.

Professional Endeavors 🏢

Currently, Dr. Preeta Sharan is a Professor and Dean of Research at The Oxford College of Engineering in Bangalore. Her professional journey has been enriched by numerous roles and responsibilities, demonstrating her dedication to both teaching and research.  Her professional journey also includes extensive international exposure, having visited countries like Singapore, Malaysia, Japan, China, and Ireland.

Contributions and Research Focus 🔬

Dr. Sharan's research has been prolific, with over 200 publications to her name, including 150+ journal articles and 80 conference paper presentations. Her innovative mind is also reflected in her 13 patents filed in India. Her research interests lie in the fields of electronics and photonics, where she has made significant contributions, particularly in developing photonic devices and systems.

Accolades and Recognition 🏆

Dr. Preeta Sharan's work has been recognized with numerous awards and honors. Notable among these are:

  • "Woman of the Year" by the American Biographical Institute (ABI USA) in 1998 and 2009.
  • IEEE Humanitarian Challenge Awards by the R10 Section, Asia Pacific in 2012 and 2013.
  • VGST Citation Award for the Center of Excellence in Photonics by the Vision Group of Science and Technology.
  • Various project awards including the 1st Rank in IMARC, SIGHT project in 2015 and Best Project of the Year Award by KSCST in 2017.
  • Innovation Project Award by IEEE WIECON in 2017 and Light Excellence Award by IEEE Photonic Society, Bangalore Section in 2019.
  • National Award by KSTA Karnataka State and Technology Academy for a project in 2022.
  • Honored as one of the 75 women across India in STEAM, featured in the book "She Is: 75 Women in STEAM" in 2022.

Impact and Influence 🌟

Dr. Sharan's influence extends beyond her research. She has been actively involved in the IEEE community, serving as the SIGHT Coordinator for the IEEE Bangalore Section in 2014 and the Student Activity Chair in 2013. Her contributions to innovation in teaching were recognized with a published article in WIPRO's "MISSION 10X" magazine in 2012.

Legacy and Future Contributions 🌐

Dr. Preeta Sharan's legacy is built on her relentless pursuit of excellence in engineering education and research. She has received numerous scholarships, including the GATE-94 from the HRD Ministry, Government of India, UGC Fellowships for JRF and SRF, and a BHU Scholarship for research in 1992. Her dedication to her field and her students ensures that she will continue to make significant contributions to engineering and technology, inspiring future generations of engineers and researchers.

 

Publications

  • A rail wheel contact temperature prediction model using fiber Bragg Grating sensor on test rig
    Authors: N. Deepa, Preeta Sharan, Sneha Sharma
    Journal: Optical Fiber Technology
    Year: 2024

 

  • An FBG-based optical pressure sensor for the measurement of radial artery pulse pressure
    Authors: Gowda, R.B., Sharan, P., Saara, K., Braim, M., Alodhayb, A.N.
    Journal: Journal of Biophotonics
    Year: 2024

 

  • Design and analysis of a fiber Bragg grating-based foot pressure assessment system
    Authors: Sharan, P., Khouqeer, G.A., El-Badry, B.A., Upadhyaya, A.M.
    Journal: Journal of Biophotonics
    Year: 2024

 

  • Real-time implementation of optical sensor on lab rig model for speed estimation
    Authors: Nagaraju, D., Sharan, P., Sharma, S., Chakraborty, S.
    Journal: Journal of Optics (India)
    Year: 2024

 

  • Measurement model of integrated FBG sensor for beam structure
    Authors: Nandi, S., Chethana, K., Srinivas, T., Sharan, P.
    Journal: Journal of Optics (India)
    Year: 2024

 

 

 

 

Rufina Zilberg | Chemistry | Best Researcher Award

Mrs. Rufina Zilberg | Chemistry | Best Researcher Award

Ufa University of Science and Technology | Russia

Author Profile

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Early Academic Pursuits

Mrs. Rufina Zilberg commenced her academic journey by acquiring a degree in Chemistry from Bashkir State University in 2003. She continued her pursuit of knowledge, culminating in the attainment of a Candidate of Chemical Sciences and Docent degrees, signifying her dedication and expertise in the field.

Professional Endeavors

Currently serving as an Associate Professor at Ufa University of Science and Technology, Mrs. Zilberg has devoted herself to the Department of Analytical Chemistry. Throughout her career, she has contributed significantly to the realm of electroanalytical chemistry and chemically modified electrodes, particularly in the development of enantiosensors.

Contributions and Research Focus

With over 200 publications to her credit, including a monograph and two reviews, Mrs. Zilberg's research focuses on voltammetric sensors and multisensory systems. Her pioneering work revolves around the recognition of enantiomers of antiarrhythmic drugs and vital amino acids. She has extensively explored composite materials for sensor construction, such as polyarylene phthalides and chitosan with various additives, resulting in groundbreaking advancements in sensor technology.

Accolades and Recognition

Mrs. Zilberg's prolific research endeavors have garnered recognition both nationally and internationally. Her scholarly contributions have earned her a Hirsch index of 12 in Web of Science and 21 in the Russian Science Citation Index (RSCI). Additionally, under her guidance, her students have achieved notable success in prestigious competitions, such as the UMNIK competition and the Student STARTUP.

Impact and Influence

The impact of Mrs. Zilberg's work extends beyond the academic realm. Her research findings, disseminated through esteemed journals, have not only advanced scientific knowledge but also hold promise for practical applications, particularly in pharmaceutical analysis. Her innovative approaches to sensor design and her commitment to excellence have inspired countless peers and students alike.

Legacy and Future Contributions

As Mrs. Zilberg continues her scholarly journey, her legacy is one of unwavering dedication to advancing the frontiers of analytical chemistry. Her future contributions are poised to further revolutionize sensor technology, offering novel solutions to complex analytical challenges and leaving an indelible mark on the field for generations to come.

Notable Publications

Chiral Octahedral Cobalt(III) Complex Immobilized on Carboblack C as a Novel Robust and Readily Available Enantioselective Voltammetric Sensor for the Recognition of Tryptophan Enantiomers in Real Samples 2024

A Voltammetric Sensor Based on Aluminophosphate Zeolite and a Composite of Betulinic Acid with a Chitosan Polyelectrolyte Complex for the Identification and Determination of Naproxen Enantiomers 2023 (2)

 

 

 

 

Ayan Paul | Agricultural and Biological Sciences | Best Researcher Award

Mr. Ayan Paul | Agricultural and Biological Sciences | Best Researcher Award

Indian Institute of Technology Kharagpur | India

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Early Academic Pursuits

Ayan Paul commenced his academic journey with a Bachelor's in Agricultural Engineering from Orissa University of Agriculture and Technology, Bhubaneswar, where he displayed exceptional prowess with a CGPA of 8.323. His early education at Air Force School Agra, securing a remarkable 95.20%, laid the foundation for his future academic endeavors.

Professional Endeavors

Throughout his academic career, Ayan delved into various practical experiences, including internships at prestigious institutions like CLAAS India Private Ltd., ICAR- Central Institute of Agricultural Engineering, and Odisha Farm Machinery Research and Development Centre. These experiences honed his skills in agricultural machinery design, operation, maintenance, and research.

Contributions and Research Focus

Ayan's M.Tech project on designing an Adjustable Chassis for a Track Type Combine Harvester stands as a testament to his dedication and expertise in the field of farm machinery and power. His B.Tech project, focusing on the field evaluation of Tractor Drawn Groundnut Digger Shaker, showcases his commitment to advancing agricultural practices through innovative solutions.

Accolades and Recognition

Ayan's academic excellence was acknowledged with notable achievements such as securing All India Rank 14 in the Graduate Aptitude Test in Engineering (GATE 2020) and securing All India Rank 64 in ICAR's All India Entrance Examination for Agriculture (AIEEA- UG 2016). These accolades underscore his outstanding capabilities and dedication to his field.

Impact and Influence

Ayan's contributions extend beyond academic achievements, as evidenced by his participation in skill development courses and entrepreneurship programs. His endeavors in remote sensing, GIS in agriculture, food packaging technology, and entrepreneurship development reflect his holistic approach to agricultural engineering and his potential to drive positive change in the field.

Legacy and Future Contributions

With a solid foundation in agricultural engineering, coupled with practical experiences and academic achievements, Ayan Paul is poised to make significant contributions to the field. His focus on innovation and research promises to bring about advancements in farm machinery design, agricultural technology, and sustainable farming practices, leaving a lasting legacy in agricultural engineering and beyond.

Notable Publications

Smart solutions for capsicum Harvesting: Unleashing the power of YOLO for Detection, Segmentation, growth stage Classification, Counting, and real-time mobile identification 2024

Utilizing Fine-Tuned YOLOv8 Deep Learning Model for Greenhouse Capsicum Detection and Growth Stage Determination 2023 (1)