Prof Dr. Rajendra Kumar | Sensor | Editorial Board Member

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Prof Dr. Rajendra Kumar | Sensor | Editorial Board Member 

Prof Dr. Rajendra Kumar | Sensor | Editorial Board Member | Rama University | India

Prof. Dr. Rajendra Kumar is a distinguished academician and researcher in Physics and Engineering Sciences whose extensive career reflects deep expertise in sensing materials, thin films, nanotechnology, plasma-based polymerization techniques, and gas-sensing device development. With a Ph.D. in Physics from Ch. Charan Singh University, Prof. Dr. Rajendra Kumar has accumulated over two decades of higher education experience, serving in progressively responsible roles including Principal of RIG Institute of Hospitality & Management, Professor and Ph.D. Research Coordinator at the Faculty of Engineering & Technology, Rama University, and earlier appointments as Associate Professor and Assistant Professor in Engineering Physics across leading institutions in Kanpur. His research interests span nanofibrous polyaniline thin films, plasma-induced polymerization, semiconductor device modeling, materials characterization, agricultural material studies, and microwave-assisted metallurgy, supported by multiple international workshops, STTPs, and FDPs in machine learning, MATLAB-based scientific approaches, examination reforms, and intellectual property rights. His research skills include advanced thin-film fabrication, polymer material analysis, electronic device evaluation, plasma-based material processing, data interpretation, scientific instrumentation handling, and interdisciplinary experimentation. Prof. Dr. Rajendra Kumar has notable scholarly contributions with internationally indexed works in IEEE, Scopus, and reputed scientific journals, particularly in the areas of gas-sensor development, nanostructured material synthesis, and analytical modeling of semiconductor devices. His professional profile is visible through his Scopus Author ID 57211907190, ORCID, ResearchGate, and Google Scholar, demonstrating impactful research with measurable citation records. Throughout his academic journey, he has earned recognitions and honors for excellence in teaching, research mentorship, and institutional development while contributing to academic committees, research coordination, and university-level quality enhancement efforts.

Professional Profiles: ORCID | Google Scholar | Scopus

Featured Publications 

  1. Tiwari, A., Kumar, R., Prabaharan, M., Pandey, R. R., Kumari, P., Chaturvedi, A., … (2010). Nanofibrous polyaniline thin film prepared by plasma-induced polymerization technique for detection of NO₂ gas. Polymers for Advanced Technologies. Citations: 97

  2. Kumar, R., Singh, S., & Misra, A. K. (2010). Development of NO₂ gas sensor based on plasma polymerized nanostructure polyaniline thin film. Journal of Minerals & Materials Characterization & Engineering. Citations: 24

  3. Gupta, D., Singh, S., Jain, V., & Kumar, R. (2015). Joining of bulk cast iron through microwave energy. International Journal for Technological Research in Engineering. Citations: 5

  4. Kumar, R., Singh, M., & Singh, V. P. (2007). Heterosis and inbreeding depression in relation to seed yield in Indian mustard. National Seminar on Changing Global Vegetable Oils Scenario. Citations: 5

  5. Kumar, R., Prasad, C. M., Singh, S. K., Prasad, S., Singh, R. N., & Turi, D. N. (2004). Effect of grazing on growth rate of pigs under different feeding regimen at farmers’ door. Indian Veterinary Medicine Journal. Citations: 5

  6. Dutt, M. B., Nath, R., Kumar, R., & Sharma, B. L. (2002). An analytical model for pinchoff voltage evaluation of ion-implanted GaAs MESFETs. IEEE Transactions on Electron Devices. Citations: 5

  7. Khan, M. R., Siddiqui, M. B., Kumar, R., & Singh, S. K. (1987). Effect of Meloidogyne incognita on three seasonal ornamental plants. Citations: 5

Mr. Saif Alkadhim | Sensor Awards | Best Researcher Award

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Mr. Saif Alkadhim | Sensor Awards | Best Researcher Award 

Mr. Saif Alkadhim, Xi’an Jiaotong University, China

Dr. Saif Aldeen Al-Kadhim, a Senior IEEE member, is a distinguished researcher and engineer specializing in electrical engineering, sensor technologies, and IoT applications. He is currently a Ph.D. candidate at Xi’an Jiaotong University, where he is also actively involved in research at the Innovation Harbour Campus. In addition, he serves as the China representative for IEEE PESDay24 and holds an advisory role on the Expert Advisory Committee of the Taizhou Robotics Society. Dr. Al-Kadhim’s research focuses on cutting-edge areas such as in-sensor computing for MEMS and NEMS, electromagnetic analysis, and PCB and circuit design. He has extensive professional experience, including his role as Chief Engineer overseeing the development and quality assurance of advanced sensor and MEMS products. His prior roles include positions as an assistant lecturer and PCB design engineer, where he gained expertise in CNC programming, embedded systems, and IoT solutions. Dr. Al-Kadhim has contributed to several innovative projects, including prototyping wireless CNC controllers, developing 5G antennas, and designing industrial IoT monitoring systems. His professional affiliations with IEEE societies underscore his dedication to advancing technology in power systems, robotics, and industrial electronics. Fluent in both technical and collaborative roles, Dr. Al-Kadhim continues to drive advancements in electrical engineering and applied technology.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award: Saif Aldeen Al-Kadhim

Dr. Saif Aldeen Al-Kadhim is a highly qualified candidate for the Best Researcher Award due to his extensive expertise and achievements across multiple facets of electrical engineering, particularly in sensors, IoT, MEMS/NEMS, and electromagnetic analysis. He is an IEEE Senior Member and actively contributes to the academic community, including his role as the China representative for PESDay24 and his advisory position at the Taizhou Robotics Society. His experience includes both teaching and hands-on engineering, giving him a solid mix of practical and theoretical knowledge.

Education:

  • Ph.D. in Electrical Engineering (09/2020 – 07/2024)
    Xi’an Jiaotong University, Xi’an, Shaanxi, China
  • MSEE in Electrical Engineering (09/2015 – 06/2017)
    University of Technology, Iraq
  • Higher Diploma Degree in Power System Engineering (09/2009 – 12/2010)
    Middle Technical University, Iraq
  • BSEE in Electrical Engineering (09/2002 – 07/2006)
    University of Babylon, Iraq

Work Experience:

  • Chief Engineer (01/2020 – Present)
    Responsible for overseeing the development and implementation of new sensor and MEMS technologies. Ensures that sensor and MEMS products meet quality and performance standards, manages a team of engineers, and collaborates with marketing and sales departments to successfully introduce products to the market. Stays updated on the latest developments in sensor and MEMS technology.
  • Assistant Lecturer (01/2019 – 12/2020)
    Assisted the qualitative research team with coordinating interviewer training, arranging transcript services, collating investigator input, and creating codebooks. Worked with the Data Coordinating Center to manage and maintain data for the study database. Additionally, trained CNC operators in making insert changes and minor adjustments, troubleshooted hydraulic, electronic, and mechanical systems, and contributed to CNC program development.
  • PCB Design Engineer (06/2017 – 12/2019)
    AL BADER ELECTRONIC INDUSTRIES, Babylon, Iraq
    Responsible for creating 3D models for PCB footprints, managing PCB documentation, developing custom scripting for automation and quality improvements, and designing embedded systems. Utilized Mentor Graphics tools for schematic entry and PCB design, collaborating with mechanical and hardware developers for component placement.

Significant Performance:

  • Prototype wireless control for CNC machine (09/2017 – 12/2017): Developed a controller used in the university CNC workshop.
  • Microstrip Grid Antenna Array for 5G Mobile Devices (01/2018 – 06/2018): Designed and prototyped the antenna array as part of laboratory experiments.
  • Industrial Cloud Monitoring System based on IoT (06/2018 – 12/2018): Designed and prototyped this system.
  • IoT Management Solution for Fill Level Monitoring for Gravel Silos (01/2019 – 12/2020): Designed and prototyped an IoT solution.

Publication top Notes:

Assoc. Prof. Dr Ali Hassan Sodhro | Intelligent Sensors Award | Best Researcher Award

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Assoc. Prof. Dr Ali Hassan Sodhro | Intelligent Sensors Award | Best Researcher Award 

Assoc. Prof. Dr Ali Hassan Sodhro, Kristianstad University, SE-29188 Kristianstad, Sweden, Sweden

Ali Hassan Sodhro is an accomplished researcher with dual Swedish and Pakistani nationality, specializing in energy-efficient and battery-friendly algorithms for wireless body sensor networks, wireless sensor networks, physical layer authentication in IoT-5G, wearable devices, and smart healthcare applications. Currently a Senior Lecturer at Kristianstad University in Sweden, Ali has also served as a Postdoctoral Research Fellow in institutions across Sweden, France, and China, including Luleå University of Technology, Linköping University, and the University Lumiere Lyon 2. His research extends to cybersecurity, network security, cryptography, and domains such as AI, machine learning, and big data analytics. Holding a Ph.D. from the University of Chinese Academy of Sciences (UCAS), Ali has supervised numerous bachelor’s and master’s theses and co-supervised Ph.D. students, contributing substantially to both academic research and grant proposals. His teaching experience spans Swedish institutions like Mid Sweden University and Gothenburg University, alongside earlier academic roles at Sukkur IBA University in Pakistan. Ali is actively involved in conferences, workshop organization, and launching special journal issues, with his work published across multiple prestigious platforms.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award:

Ali Hassan Sodhro is a distinguished researcher with significant contributions to the fields of energy-efficient algorithms for wireless sensor networks, smart healthcare applications, and IoT-driven technologies, particularly within the domain of body sensor networks and wearable devices. With a strong interdisciplinary focus that spans AI, IoT, and cloud computing, his work aligns with many of the emerging challenges in technology and healthcare, areas critical for modern innovations and societal impact.

🎓 Education:

  • Ph.D. in Computer Applications Technology (2016)
    University: Chinese Academy of Sciences, China 🇨🇳
    Thesis: Energy-efficient Communication in Wireless Body Sensor Networks
  • M.Engg in Communication Systems and Networks (2010)
    University: Mehran University of Engineering and Technology, Pakistan 🇵🇰
    Thesis: Security Issue/Authentication and Simulation of LEAP in WSN
  • B.Engg in Telecommunication Engineering (2008)
    University: Mehran University of Engineering and Technology, Pakistan 🇵🇰
    Thesis: Wireless Sensor Networks, Simulation of Ad-Hoc Routing Protocols

💼 Professional Experience:

  • Senior Lecturer at Kristianstad University, Sweden 🇸🇪 (2021–Present)
    Teaching, research, and supervision of student projects; actively engaged in scientific publishing and grant proposal writing.
  • Postdoctoral Fellow at Luleå University of Technology, Sweden 🇸🇪 (2020)
    Contributed to supervision, teaching, and coordination of special journal issues and conferences.
  • Assistant Professor at Sukkur IBA University, Pakistan 🇵🇰 (2016–2017)
    Supervised students, taught courses, and organized academic events.

🧠 Research Focus:

Ali Hassan Sodhro is a highly skilled researcher in Energy-efficient & Battery-friendly Algorithms ⚡ for Wireless Body Sensor Networks 💡, Wearable Devices ⌚, and IoT-5G 🔗. His expertise spans AI/ML 🤖, Cybersecurity 🔒, Network Security 🛡️, Big Data Analytics 📊, and Multimedia Transmission 🎥, with an emphasis on Smart Healthcare 🏥 and Physical Layer Authentication in IoT networks.

Publication top Notes:

Artificial intelligence-driven mechanism for edge computing-based industrial applications

CITED:326

A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks

CITED:297

Mobile edge computing based QoS optimization in medical healthcare applications

CITED:208

Towards an optimal resource management for IoT based Green and sustainable smart cities

CITED:197

Quality of service optimization in an IoT-driven intelligent transportation system

CITED:173

Assoc Prof Dr Zhongxiang Liu | Applications of Sensors | Best Researcher Award

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Assoc Prof Dr Zhongxiang Liu | Applications of Sensors | Best Researcher Award 

 Assoc Prof Dr Zhongxiang Liu,Associate Researcher, Southeast University,China

Zhongxiang Liu is an Associate Professor at the School of Transportation, Southeast University, Nanjing, China. He has a strong background in structural engineering, with substantial experience in academia and research. His international exposure includes postdoctoral research at Columbia University and a visiting scholarship at Virginia Tech in the USA. With multiple editorial roles and contributions to international journals, Liu has established himself as a distinguished researcher in structural health monitoring and smart city infrastructure. He has received prestigious awards for his contributions to civil and structural engineering and is dedicated to advancing resilient and sustainable engineering solutions.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

Zhongxiang Liu is an Associate Professor at the School of Transportation, Southeast University, with a Ph.D. in Structural Engineering from Southeast University, China. He has a robust academic background, having completed postdoctoral research at Columbia University and held a visiting scholar position at Virginia Tech. His research expertise lies in structural health monitoring, resilient structures for smart cities, and dynamic analysis of offshore structures. Liu is recognized for his prolific contributions as a guest editor for multiple high-impact journals and has received several prestigious awards, including the Science and Technology Progress Award of China and the Gold Medal at the International Exhibition of Inventions of Geneva.

Education

Zhongxiang Liu earned his Ph.D. in Structural Engineering from Southeast University, Nanjing, China, in 2019. Prior to that, he completed his M.S. in Structural Engineering at the same institution in Chongqing, China, in 2015. He holds a B.S. in Civil Engineering from Chongqing University, Chongqing, China, awarded in 2012. His strong academic foundation has provided him with the necessary expertise to excel in structural health monitoring, offshore structure dynamics, and novel sensing technologies for smart cities.

Work Experience

Liu has been serving as an Associate Professor at Southeast University, Nanjing, China, since February 2021. Before this, he was a Postdoctoral Research Fellow at Columbia University, USA, from November 2019 to November 2020. He also gained valuable international experience as a Visiting Scholar at Virginia Tech, USA, from November 2016 to November 2017. His work in these roles has focused on structural health monitoring, dynamic analysis of offshore structures, and the application of resilient engineering technologies in urban infrastructure.

Skills

Zhongxiang Liu specializes in structural health monitoring, offshore structure analysis, and resilient urban infrastructure. His skills extend to advanced hydro- and aero-dynamic analysis, condition assessment of bridges, and novel sensing technologies for smart city applications. He has editorial and review expertise for high-impact journals, as well as experience in conducting performance evaluations of structural systems. His proficiency in combining these skills to address practical engineering challenges makes him a versatile researcher and educator in the field of civil engineering.

Awards and Honors

Liu has received numerous prestigious awards, including the First Prize in the Science and Technology Progress Award of Jiangsu, China (2022) and the Grand Prize from the China Highway and Transportation Society (2022). His research was recognized internationally, earning the Gold Award with congratulations from the Jury at the 48th International Exhibition of Inventions of Geneva in 2023. Liu was also honored with the Liu Huixian Earthquake Engineering Scholarship Award (2019), as well as several National Scholarships from the Ministry of Education of China during his doctoral and master’s studies.

Membership

Zhongxiang Liu is actively involved in the academic community, serving as a guest editor for multiple journals including Materials (MDPI), Applied Sciences (MDPI), and Modelling (MDPI). He is a Youth Editorial member for the International Journal of Structural Integrity and Journal of Disaster Prevention and Mitigation Engineering. In addition, he reviews for more than 20 international journals in the fields of structural engineering and performance evaluation, further establishing his expertise and influence in the field.

Teaching Experience

As an Associate Professor at Southeast University, Liu is involved in teaching and mentoring students in advanced structural engineering concepts. His international experience at prestigious institutions such as Columbia University and Virginia Tech enriches his teaching, allowing him to incorporate a global perspective into his lectures. He guides students in the fields of structural health monitoring, offshore structures, and smart city technologies, preparing the next generation of engineers to tackle modern infrastructure challenges with innovative solutions.

Research Focus

Liu’s research primarily focuses on structural health monitoring and the condition assessment of bridges, along with hydro- and aero-dynamic analysis of offshore structures. His work emphasizes resilient infrastructure solutions, particularly in the context of smart cities. By developing novel sensing technologies and resilient structural designs, Liu aims to enhance urban infrastructure’s longevity and safety. His research also explores the control and evaluation of dynamic responses in offshore structures, contributing to advancements in both civil engineering and sustainable urban development.

Publication top Notes:

 

Dr Naifeng He | Applications of Sensors| Best Researcher Award

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Dr Naifeng He | Applications of Sensors| Best Researcher Award 

Dr Naifeng He, Nanjing University of Aeronautics and Astronautics,China

He Naifeng is a dedicated PhD candidate at the School of Automation, Nanjing University of Aeronautics and Astronautics. Specializing in motion control and navigation of wheel-legged mobile robots, his research integrates traditional control techniques with reinforcement learning to enhance robotic autonomy in dynamic environments.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

He Naifeng, a PhD candidate at the School of Automation, Nanjing University of Aeronautics and Astronautics, specializes in motion control and navigation of wheel-legged mobile robots. His innovative research integrates traditional control techniques with reinforcement learning, significantly enhancing the autonomy and agility of mobile robots in dynamic environments. With several published articles and a pending patent, He Naifeng demonstrates a commitment to advancing the field of robotics.

Education

He Naifeng is pursuing a PhD at the prestigious Nanjing University of Aeronautics and Astronautics, where he has built a strong foundation in automation and robotics. His academic journey reflects a commitment to advancing technology in mobile robotics, demonstrating a keen interest in both theoretical knowledge and practical applications.

Work Experience

As a PhD candidate, He Naifeng is actively involved in cutting-edge research projects focused on optimizing navigation systems for wheel-legged robots. His work includes consultancy projects that apply advanced navigation algorithms in industrial inspection settings, showcasing his ability to translate research into real-world solutions.

Skills

He possesses a robust skill set that includes motion control system design, reinforcement learning applications, and path planning for autonomous systems. His expertise in integrating traditional control methods with advanced machine learning techniques positions him as a valuable asset in the field of robotics.

Awards and Honors

He Naifeng’s research has garnered recognition, including publications in prominent journals such as Sensors and Actuators. He is also in the process of patenting a dynamic obstacle avoidance control system for wheel-legged robots, reflecting his innovative contributions to the field.

Membership

He is an active member of professional organizations related to automation and robotics, facilitating collaborations and networking opportunities within the scientific community. His membership underscores his commitment to staying at the forefront of advancements in his field.

Teaching Experience

He Naifeng has experience in guiding students and peers through complex topics in automation and robotics. His ability to communicate intricate concepts effectively makes him a respected figure among his colleagues and students.

Research Focus

His research focuses on autonomous navigation for wheel-legged robots, with particular emphasis on reinforcement learning in control systems and intelligent motion control. He aims to develop practical applications that enhance the performance and adaptability of mobile robots in challenging environments.

Publication top Notes:

A Supervised Reinforcement Learning Algorithm for Controlling Drone Hovering

A Self-Adaptive Double Q-Backstepping Trajectory Tracking Control Approach Based on Reinforcement Learning for Mobile Robots

A State-Compensated Deep Deterministic Policy Gradient Algorithm for UAV Trajectory Tracking

Adaptive PID Trajectory Tracking Algorithm Using Q-Learning for Mobile Robots

Dr. Alex Guillén Bonilla | Sensors Characterization | Best Researcher Award

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Dr. Alex Guillén Bonilla | Sensors Characterization | Best Researcher Award 

Dr. Alex Guillén Bonilla, University of Guadalajara, Mexico

👨‍🔬 Alex Guillén Bonilla is a distinguished Research Professor at the University of Guadalajara, specifically at the Valleys University Center in Jalisco, México. With a career rooted in scientific excellence, he is a recognized member of the National System of Researchers (SNI Level 1) and holds a Desirable Profile from PRODEP. His contributions to the field of materials science are further underscored by his inclusion in the National Register of Researchers in Materials Science. 🎓 Dr. Guillén Bonilla’s academic journey began with a technical education in Plastics Chemistry at the University of Guadalajara’s Polytechnic School, CUCEI, from which he graduated in July 2000. He then pursued a degree in Mechatronics Engineering at the Industrial Technical Education Center (CETI), completing his thesis on the analysis of quasi-distributed sensors based on interferometric sensors with twin Bragg grates in November 2005. His passion for optoelectronics led him to the Center for Scientific Research and Higher Education of Ensenada (CICESE), where he earned a master’s degree with a thesis focused on the study and design of two polarization interferometers for object observation by reflection in November 2008.

Professional Profile:

GOOGLE SCHOLAR

 

EDUCATION

1. Doctorate in Materials Science

  • Institution: University of Guadalajara, University Center of Exact Sciences and Engineering (CUCEI), Guadalajara, Jalisco, México
  • Thesis Title: Synthesis and characterization of CoSb2O6 semiconductor oxide micro and nanoparticles for their potential application as an environmental gas sensor
  • Date of Graduation: November 2014
  • Professional License: PEJ313612

2. Master’s in Optoelectronics Oriented Optics

  • Institution: Center for Scientific Research and Higher Education of Ensenada (CICESE), Ensenada, Baja California Norte, México
  • Thesis Title: Study and design of two polarization interferometers for the observation of objects by reflection
  • Date of Graduation: November 2008
  • Professional License: PEJ313614

3. Engineering in Mechatronics

  • Institution: Industrial Technical Education Center (CETI), Guadalajara, Jalisco, México
  • Thesis Title: Analysis of quasi-distributed sensors based on interferometric sensors with twin Bragg grates
  • Date of Graduation: November 2005
  • Professional License: PEJ313609

WORK EXPERIENCE

Research Professor

  • Institution: University of Guadalajara, Valleys University Center, Guadalajara, Jalisco, México
  • Role: Conducts research in the preparation and characterization of semiconductor oxides and the development of gas sensors, as well as the design of reflection polarization interferometers.

Previous Positions (if applicable, based on details not provided in the CV)

  • Specific details on previous positions are not included in the provided CV data.

 

Publication top Notes:

 

Synthesis of ZnMn2O4 Nanoparticles by a Microwave-Assisted Colloidal Method and their Evaluation as a Gas Sensor of Propane and Carbon Monoxide

CITED: 59

Synthesis, Characterization, and Sensor Applications of Spinel ZnCo2O4 Nanoparticles

CITED: 33

A Novel Gas Sensor Based on MgSb2O6 Nanorods to Indicate Variations in Carbon Monoxide and Propane Concentrations

CITED: 33

Low‐Temperature Synthesis and Gas Sensitivity of Perovskite‐Type LaCoO3 Nanoparticles

CITED: 30

Key processing of porous and fibrous LaCoO3 nanostructures for successful CO and propane sensing

CITED: 27