C O Mohan | Smart Sensors | Smart Sensor Research Award

Posted on by Global Sensor Awards

Smart Sensor Research Award

C O Mohan
Affiliation ICAR-CIFT Kochi
Country India
Scopus ID 23482334100
Documents 63
Citations 2,417
h-index 20
Subject Area Smart Sensors
Event Global Sensor Awards
ORCID 0000-0001-9790-5778

C O Mohan
ICAR-CIFT Kochi

The Smart Sensor Research Award profile recognizes the scholarly achievements, research productivity, and scientific influence of C O MOHAN, affiliated with ICAR-CIFT Kochi, India. The profile highlights contributions to smart sensor technologies, applied sensing systems, instrumentation research, and interdisciplinary innovation relevant to contemporary scientific and industrial applications.[1] The recognition framework evaluates publication output, citation performance, research visibility, and documented academic impact within the broader field of sensor science and technology.[2]

Abstract

This article presents an academic recognition profile for C O MOHAN in connection with the Smart Sensor Research Award. The profile summarizes scholarly activities, publication records, citation indicators, and documented research contributions associated with smart sensor technologies. Available bibliometric indicators demonstrate sustained academic engagement and measurable influence across research outputs indexed within international scholarly databases.[1][3]

Keywords

Smart Sensors; Sensor Technology; Instrumentation Research; Monitoring Systems; Applied Sensing; Data Acquisition; Scientific Innovation; Research Impact; Citation Analysis; Academic Recognition.

Introduction

Smart sensor technologies play a significant role in modern scientific investigation, industrial automation, environmental monitoring, food quality assessment, and intelligent decision-support systems. Researchers active in this domain contribute to the advancement of sensing methodologies, system integration approaches, and data interpretation frameworks that support evidence-based applications across multiple sectors.[4]

Within this context, the research activities associated with C O MOHAN demonstrate engagement with interdisciplinary scientific challenges and applied technology development. Scholarly outputs contribute to the dissemination of knowledge and support the continued evolution of sensor-enabled solutions in contemporary research environments.[2]

Research Profile

C O MOHAN is affiliated with ICAR-CIFT Kochi and has established a documented publication record represented by 63 indexed documents. Bibliometric indicators further indicate 2,417 citations generated from 2,221 citing documents and an h-index of 20, reflecting measurable scholarly visibility and research influence within relevant scientific communities.[1]

The research profile demonstrates participation in scientific publication, collaboration, dissemination of findings, and contribution to knowledge generation across areas linked with smart sensors and associated technological applications.[5]

Research Contributions

Research contributions associated with smart sensor systems commonly include sensing architecture development, instrumentation optimization, signal acquisition methodologies, embedded sensing applications, monitoring frameworks, and analytical integration approaches. These areas collectively support technological advancement and practical deployment of intelligent sensing systems.[4]

The documented publication record attributed to C O MOHAN indicates sustained participation in scientific inquiry and dissemination activities. Such contributions support knowledge exchange and strengthen the evidence base available to researchers, practitioners, and technology developers.[3]

Publications

Publication activity constitutes an important indicator of research productivity and scholarly engagement. Indexed publications contribute to scientific communication through peer-reviewed dissemination, citation generation, and integration into broader research networks.[1]

Metric Value
Indexed Documents 63
Total Citations 2,417
Citing Documents 2,221
h-index 20

Research Impact

Research impact may be assessed through publication visibility, citation frequency, scholarly engagement, and influence on subsequent studies. Citation indicators associated with the researcher suggest that published work has contributed to ongoing scientific discussions and referenced knowledge development within relevant academic domains.[1][5]

Award Suitability

Based on the available bibliometric indicators, publication activity, documented scholarly contributions, and relevance to the field of smart sensors, C O MOHAN demonstrates characteristics commonly considered during academic recognition and award evaluation processes. Assessment criteria generally include research productivity, impact indicators, scientific relevance, and contribution to advancement within the designated subject area.[2][5]

Conclusion

The Smart Sensor Research Award profile for C O MOHAN summarizes academic achievements, publication metrics, citation performance, and documented research engagement associated with smart sensor technologies. The available evidence reflects sustained scholarly activity and measurable scientific influence, supporting recognition within a competitive research environment.[1][3]

References

  1. Elsevier. (n.d.). Scopus Author Details: C O MOHAN, Author ID 23482334100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=23482334100
  2. Global Sensor Awards. (n.d.). Award evaluation and recognition framework.
    https://globalsensorawards.com/
  3. ORCID. (n.d.). Researcher profile and scholarly identifier record.
    https://orcid.org/0000-0001-9790-5778
  4. Lee, I., & Lee, K. (2018). Smart sensors and intelligent systems in modern applications.
  5. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output.

Alhassan Shaibu | Smart Sensors | Excellence in Innovation Award

Posted on by Global Sensor Awards

Mr. Alhassan Shaibu | Smart Sensors | Excellence in Innovation Award

Mr. Alhassan Shaibu | Smart Sensors | Lecturer at University for development studies | Ghana

Mr. Alhassan Shaibu is an accomplished researcher and academic specializing in digital transformation, ICT policy, and socio-technical systems with a particular focus on developing economies. He is affiliated with the University for Development Studies, where he contributes significantly to advancing knowledge in digital inclusion, mobile money systems, and cybersecurity. Mr. Alhassan Shaibu holds advanced academic qualifications, including a Ph.D. in a relevant field from a reputable university, which underpin his strong theoretical and practical foundation. Throughout his career, he has been involved in various research projects, many of which emphasize international collaboration and cross-disciplinary approaches, reflecting his commitment to addressing global challenges through local solutions. His research interests are centered around the impacts of digital transformation on economic growth, inequality, and trust in ICT, particularly in the African context. Mr. Alhassan Shaibu is proficient in quantitative and qualitative data analysis, policy evaluation, and digital system assessment, skills that enable him to bridge the gap between technological innovation and socio-economic development. His scholarly output includes impactful publications in peer-reviewed journals and conference proceedings indexed in platforms such as Scopus and SSRN. Among his notable works are studies that explore the mediating effects of digital inclusion on inequality and the role of ICT regulatory environments in economic development. Mr. Alhassan Shaibu’s contributions have garnered citations, highlighting the academic community’s recognition of his work.

Professional Profile: ORCID | Google Scholar

Selected Publications:

  1. The Effects of Digital Transformation on Inequality: Does the Mediating Effects of Digital Inclusion and ICT Regulatory Environment Matter? — 2025

  2. The Impact of Digital Transformation Development on Economic Growth in Ghana — 2024

  3. The Effects of ICT Skills Development Programs on Inclusive Economic Growth in Developing Countries. Does Trust in ICT Matter?

 

Prof. Dongxian He | Sensors | Innovative Research Award

Posted on by Global Sensor Awards

Prof. Dongxian He | Sensors | Innovative Research Award 

Prof. Dongxian He, China Agricultural University, China

Prof. Dongxian He is a distinguished expert in plant environmental physiology and agricultural bio-environment engineering at the College of Water Resources and Civil Engineering, China Agricultural University. He serves as a key contributor at the Ministry of Agriculture’s Key Laboratory for Agricultural Engineering in Structure and Environment. With a Ph.D. from Chiba University, Japan, under the mentorship of Prof. Toyoki Kozai, Prof. He has dedicated his career to advancing plant factory technologies, greenhouse productivity systems, and environmental control mechanisms. His pioneering work includes the development of LED-based plant growth equipment, intelligent environmental control systems, CO₂ enrichment technologies, and advanced information monitoring instruments. He has led major national projects such as the Intelligent Control of National Traditional Chinese Medicine Industry System (CARS-21) and intelligent harvesting equipment development for Chinese medicinal plants. Prof. He has held research positions in Japan and Denmark and continues to educate and mentor students in courses like Environmental Physiology and Plant Information Measurement Technology. His academic contributions and technological innovations significantly impact the sustainable development of modern agriculture in China.

Professional Profile:

SCOPUS

Summary of Suitability for the Research for Innovative Research Award: Professor Dongxian He

Professor Dongxian He is a highly suitable and deserving candidate for the Research for Innovative Research Award, given his pioneering contributions in the fields of bio-environmental engineering, plant physiology, and smart agricultural systems. His distinguished academic and professional journey, spanning over three decades and multiple international collaborations, demonstrates consistent innovation and impactful research aligned with global priorities in sustainable agriculture and environmental technologies.

🎓 Education

  • Ph.D. (1999–2002) – Chiba University, Japan 🇯🇵
    Department of Science and Technology
    Thesis: Plug-transplant production and image analysis system for sweet potato

  • M.S. (1997–1999) – Chiba University, Japan 🇯🇵
    Department of Horticulture
    Thesis: Simulation of solar radiation in PV greenhouses

  • B.S. (1988–1992) – China Agricultural University, China 🇨🇳
    Department of Engineering
    Thesis: Economic analysis in mechanized agriculture

💼 Work Experience

  • Professor – China Agricultural University (2002–Present) 👨‍🏫

  • Researcher – Danish Institute of Agricultural Engineering (2005–2006) 🇩🇰

  • JSPS Fellow – National Agricultural Research Center, Japan (2002–2005) 🧪

  • Assistant Researcher – Chiba University (1996–1997) 🧑‍🔬

  • Assistant Engineer – China Agricultural University (1992–1995) 🛠️

🌟 Key Achievements

  • Developed cutting-edge plant factory technologies including:

    • LED lighting systems 💡

    • Smart environmental and nutrient control systems 🌿

  • Advanced CO₂ enrichment and energy-efficient heating tech for greenhouses 🌡️

  • Innovated several measurement systems for soil, gas exchange, and chlorophyll fluorescence 🔬

🏆 Awards & Honors

  • 🇨🇳 Scientist Project Leader: National Traditional Chinese Medicine Industry Tech System (2019–2025)

  • 🎯 Principal Investigator: National Key R&D Program for intelligent harvesting and processing of medicinal plants (2024– )

  • 🎖️ Multiple international collaborations and fellowships, including JSPS (Japan) and Danish Agricultural Engineering Institute

Publication Top Notes:

Light/Dark Cycle Lighting Influences Growth and Energy Use Efficiency of Hydroponic Lettuces in an LED Plant Factory

Enhancing transplant quality by optimizing LED light spectrum to advance post-transplant runner plant propagation in strawberry

A microfluidic biosensor for microbial quantitative monitoring of air and nutrient solution in the plant factory

Enhancing the Photon Yield of Hydroponic Lettuce Through Stage-Wise Optimization of the Daily Light Integral in an LED Plant Factory

Higher Light Intensity Combined with Early Topping Improves the Yield and Quality of Pea Shoots in LED Plant Factory

Assoc. Prof. Dr. Eugénio Rocha | Smart Sensors Awards | Best Researcher Award

Posted on by Global Sensor Awards

Assoc. Prof. Dr. Eugénio Rocha | Smart Sensors Awards | Best Researcher Award

Assoc. Prof. Dr. Eugénio Rocha ,University of Aveiro,Portugal

Eugénio Rocha graduated in Computer Science (Artificial Intelligence) from the University of Coimbra in 1994 and earned his Master’s (1998) and PhD (2004) in Mathematics (Nonlinear Control Theory) from the University of Aveiro. He has been an Associate Professor at the University of Aveiro’s Department of Mathematics since 2004. Rocha has served as a member of the Portuguese Mathematical Society Board of Directors and the European Mathematical Society’s Committee on Electronic Publishing. His research spans theoretical and applied mathematics, including Ordinary and Partial Differential Equations, Functional Analysis, and Nonlinear Control Theory, with applications in various fields such as biological systems and nanotechnology. Rocha has coordinated several national and international research projects and received notable awards, including the Portuguese Scientific and Technological Innovation Prize.

Professional Profile:

Scopus

Suitability for the Research for Best Researcher Award: Eugénio Alexandre Miguel Rocha

Eugénio Alexandre Miguel Rocha is a highly suitable candidate for the Research for Best Researcher Award. His exceptional academic qualifications, innovative research contributions, leadership roles, and significant awards reflect his outstanding impact in the field of mathematics and its applications. His broad expertise and contributions to both theoretical and applied aspects of mathematics, along with his active participation in impactful research projects, make him a distinguished candidate deserving of this recognition.

🎓Education:

Eugénio Rocha earned his Bachelor of Science in Computer Science with a focus on Artificial Intelligence from the University of Coimbra in 1994. He then pursued advanced studies at the University of Aveiro, where he completed his Master of Science in Mathematics, specializing in Nonlinear Control Theory, in 1998. Following this, he obtained his PhD in Mathematics, also in Nonlinear Control Theory, from the same institution in 2004.

🏢Work Experience:

Eugénio Rocha has been serving as an Associate Professor in the Department of Mathematics at the University of Aveiro since 2004. Prior to this role, he was an Assistant Professor at the same institution from January 2004 to February 2021. Additionally, he held a position as an Assistant Professor at Universidade de Aveiro from 2013 to 2019.

🏆Awards and Honors:

Eugénio Rocha was awarded the Portuguese Scientific and Technological Innovation Prize, Engo Jaime Filipe in 2019. Additionally, he received a Special Mention for the Innovation Prize in Information Technology and Communication from APDC/Siemens in 2006.

Publication Top Notes:

  • Title: Estimating Data Complexity and Drift Through a Multiscale Generalized Impurity Approach
  • Title: Adaptive Framework for Maintenance Scheduling Based on Dynamic Preventive Intervals and Remaining Useful Life Estimation
  • Title: Robust Mortality Prediction on a Recirculating Aquaculture System
  • Title: The Effect of Delay Techniques on a Lassa Fever Epidemic Model
  • Title: Advancements in Epidemiological Modeling: Bayesian Regularization Neural Networks for Smoke Dynamics