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. Enrico Bargagna | Quantum Transduction | Best Scholar Award

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Mr. Enrico Bargagna | Quantum Transduction | Best Scholar Award 

Mr. Enrico Bargagna | Quantum Transduction | University of Pisa | Italy

Mr. Enrico Bargagna is a distinguished researcher and Post-graduate Research Fellow at the University of Pisa in the Department of Civil and Industrial Engineering, specializing in sensing technology with a particular focus on hybrid designs for quantum transduction. His research interests span mechanical engineering, precision sensor design, quantum transduction systems, and interdisciplinary applications of advanced materials in high-performance sensing devices. Enrico’s academic journey includes a Ph.D. in Mechanical Engineering from the University of Pisa, following his Master’s and Bachelor’s degrees in the same field from the same institution, reflecting a rigorous foundation in engineering principles, experimental methods, and computational modeling. Throughout his academic and professional career, he has been involved in multiple international research collaborations, working closely with interdisciplinary teams to develop innovative sensor designs and optimize transduction mechanisms. His research skills include experimental design, simulation and modeling, data analysis, sensor optimization, and integration of quantum technologies with mechanical systems. Enrico has made significant contributions to peer-reviewed journals, with notable publications in Sensors and other reputed platforms, demonstrating his ability to address complex engineering challenges and advance the field of sensing technology. He actively engages in professional communities, holding memberships in IEEE and participating in mentoring programs, workshops, and collaborative initiatives that support knowledge dissemination and the development of emerging engineers. His professional experience highlights leadership in research projects, including the design and optimization of hybrid quantum transduction systems, showcasing his capability to combine theoretical insights with practical applications.

Professional Profile: ORCID 

Selected Publications

  1. Bargagna, E., Delgado, J., Wang, C., Gonin, I., Yakovlev, V. P., Neri, P., Passarelli, D., & Zorzetti, S. (2025). Design and Optimization of a Hybrid Design for Quantum Transduction. Sensors, 25(10), 6365. Citation: 12

Dr. Mojtaba Ahmadieh khanesar | Metrology | Best Researcher Award

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Dr. Mojtaba Ahmadieh khanesar | Metrology | Best Researcher Award 

Dr. Mojtaba Ahmadieh khanesar | Metrology | University of Nottingham | United Kingdom

Dr. Mojtaba Ahmadieh Khanesar is a distinguished research fellow in optical metrology and machine learning at the Department of Mechanical, Materials and Manufacturing Engineering, University of Nottingham. He holds a Ph.D. in Control Engineering from K. N. Toosi University of Technology and has extensive experience in metrology, robotics, control systems, artificial intelligence, and machine learning. Throughout his career, Dr. Khanesar has contributed to internationally recognized projects funded by EPSRC, including Robodome imaging for high-performance aerostructures, HARISOM for precise industrial robot manipulation, and Chattyfactories for next-generation industrial systems, demonstrating proficiency in experimental design, data acquisition, and real-time control using advanced robotics platforms such as UR5, Baxter, Sawyer, and laser tracking systems. He has also supervised Ph.D. and undergraduate students, providing mentorship in control, robotics, and machine learning projects, and delivered lectures on Bayesian learning and reinforcement learning at the University of Nottingham. Dr. Khanesar has held research and teaching positions across Denmark, Turkey, Iran, and the United Kingdom, reflecting his global research engagement and collaborative approach. His research has been widely published, with 112 documents, 2,377 citations, and an h-index of 25, including publications in high-impact journals such as IEEE Transactions, Robotics, Mechanism and Machine Theory, and Sensors. His professional affiliations include SMIEEE, MIET, and MASME, highlighting his recognized standing in international technical communities.

Professional Profile: ORCID | Scopus

Selected Publications 

  1. Ahmadieh Khanesar, M. (2025). Inkjet printing of ZIF-67 based-polymer composite membranes. Separation and Purification Technology. 0 citations.

  2. Ahmadieh Khanesar, M. (2025). Multi-Objective Intelligent Industrial Robot Calibration Using Meta-Heuristic Optimization Approaches. Robotics. 0 citations.

  3. Ahmadieh Khanesar, M. (2025). Virtual Instrument for a Multi-illumination Dome System. Conference Paper. 0 citations.

  4. Ahmadieh Khanesar, M. (2023). Precision Denavit–Hartenberg Parameter Calibration for Industrial Robots Using a Laser Tracker System and Intelligent Optimization Approaches. Sensors, Basel, Switzerland. 25 citations.

  5. Ahmadieh Khanesar, M. (2023). A Neural Network Separation Approach for the Inclusion of Static Friction in Nonlinear Static Models of Industrial Robots. IEEE ASME Transactions on Mechatronics. 9 citations.

Assoc. Prof. Dr. Yao-Chuan Tsai | Sensor | Best Researcher Award

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Assoc. Prof. Dr. Yao-Chuan Tsai | Sensor | Best Researcher Award

Assoc. Prof. Dr. Yao-Chuan Tsai | National Chung Hsing University | Taiwan

Assoc. Prof. Dr. Yao-Chuan Tsai is a distinguished scholar and innovative researcher whose work integrates mechanical engineering, microfabrication, and smart agricultural technologies. His academic journey and professional experiences have spanned Taiwan and Japan, and his expertise covers micro-electro-mechanical systems (MEMS), micromanufacturing, automation, and artificial intelligence applications in agriculture. Currently serving as the Department Chair of Bio-Industrial Mechatronic Engineering at National Chung Hsing University, he has been instrumental in advancing interdisciplinary approaches to smart farming and bio-industrial automation. Assoc. Prof. Dr. Yao-Chuan Tsai has also directed major research centers, guided industry collaborations, and received international recognition for his inventive contributions in agricultural engineering, demonstrating a career that bridges cutting-edge technology with real-world sustainability solutions.

Professional Profile

Google Scholar

Orcid

Scopus

Summary of Suitability 

Assoc. Prof. Dr. Yao-Chuan Tsai is a distinguished researcher and academic leader in bio-industrial mechatronic engineering, micro-electromechanical systems (MEMS), micromanufacturing, automation, artificial intelligence applications, and smart agriculture. With advanced degrees in Mechanical Engineering from National Taiwan University and a strong international research background in Japan, he has established himself as a pioneer at the intersection of engineering innovation and agricultural technology.

Education

Assoc. Prof. Dr. Yao-Chuan Tsai earned his Bachelor of Science degree in Mechanical Engineering from National Chiao-Tung University, where he built the foundational knowledge of mechanics, materials, and automation. He continued his graduate studies at National Taiwan University, completing both his Master of Science and Doctor of Philosophy degrees in Mechanical Engineering. His doctoral research involved MEMS and micromanufacturing, laying the groundwork for future exploration of automation and artificial intelligence applications in agriculture. His strong academic training across Taiwan’s leading universities prepared him with a balance of technical rigor, innovative thinking, and interdisciplinary vision that underpins his current contributions.

Experience

Assoc. Prof. Dr. Yao-Chuan Tsai professional career reflects a balance between academic leadership and international research collaborations. He began as a researcher at the Micro System Integration Center (μSIC) and later at the Advanced Institute for Materials Research (WPI-AIMR) at Tohoku University in Japan, where he contributed to micromanufacturing and MEMS integration projects. He also gained industry experience as a researcher with MEMS-CORE Corporation in Japan, applying micro-automation technologies in practical contexts. Returning to Taiwan, he joined the Department of Bio-Industrial Mechatronic Engineering at National Chung Hsing University as Assistant Professor and steadily advanced to Associate Professor and Department Chair. He also served as Director of the Agricultural Automation Center, where he established collaborative projects linking artificial intelligence, robotics, and farming technology. His leadership roles underscore his ability to bridge academia, research, and industry with measurable impact.

Research Interests

Assoc. Prof. Dr. Yao-Chuan Tsai research interests encompass micro-electro-mechanical systems, micromanufacturing, automation technologies, and their integration into agricultural applications. He is particularly dedicated to advancing smart agriculture, focusing on precision farming systems that incorporate MEMS sensors, machine learning algorithms, and AI-driven automation to optimize productivity while maintaining sustainability. His work also explores automation in livestock farming, including animal monitoring, weight detection, and behavior recognition, as well as AI-based bird detection and repelling systems. By combining MEMS design with AI modeling, his research provides innovative solutions to challenges in agriculture, demonstrating how cutting-edge technology can transform traditional industries.

Awards

Assoc. Prof. Dr. Yao-Chuan Tsai has received multiple awards and honors that highlight his excellence in both teaching and research. He has twice been honored with the National Chung Hsing University Industry-Academic Outstanding Teacher Award, recognizing his contributions to technology transfer and academic-industry collaboration. He was also the recipient of the School Outstanding Instructor Award, demonstrating his commitment to education and mentorship. His patents on agricultural automation systems, including an automatic animal weight measurement method and a bird detection and repelling system, won Silver Medals at the Taiwan Innovation and Technology Expo Invention Competitions. Furthermore, he earned an Outstanding Award in AI and Agriculture, Forestry, Fisheries, and Animal Husbandry at a major AI competition, underscoring the interdisciplinary impact of his work. These accolades reflect not only his technical contributions but also his role in shaping the future of agricultural innovation.

Publication Top Notes

  • On‐chip micro‐pseudocapacitors for ultrahigh energy and power delivery
    Year: 2015
    Citation: 80

  • Identifying images of dead chickens with a chicken removal system integrated with a deep learning algorithm
    Year: 2021
    Citation: 79

  • Non-contact magnetic cantilever-type piezoelectric energy harvester for rotational mechanism
    Year: 2018
    Citation: 61

  • Design and fabrication of a phononic-crystal-based Love wave resonator in GHz range
    Year: 2014
    Citation: 47

  • Laser-induced graphene stretchable strain sensor with vertical and parallel patterns
    Year: 2022
    Citation: 45

  • Low-concentration ammonia gas sensors manufactured using the CMOS–MEMS technique
    Year: 2020
    Citation: 43

  • Metallic glass as a mechanical material for microscanners
    Year: 2015
    Citation: 38

  • Evidence of a Love wave bandgap in a quartz substrate coated with a phononic thin layer
    Year: 2014
    Citation: 31

Conclusion

Assoc. Prof. Dr. Yao-Chuan Tsai has established himself as a leading researcher at the intersection of mechanical engineering, MEMS, and agricultural automation. His educational background, extensive research experiences across Taiwan and Japan, and leadership roles in academia underscore his multidisciplinary expertise. His research interests in micromanufacturing, automation, smart agriculture, and AI applications have led to impactful innovations, including patented technologies and award-winning inventions. With a proven record of publications, invited talks, and recognitions, Assoc. Prof. Dr. Yao-Chuan Tsai contributions extend beyond academic theory into practical solutions that enhance agricultural productivity and sustainability. His achievements make him a highly deserving candidate for recognition in award nominations, reflecting not only his academic excellence but also his broader impact on industry and society through technological innovation.

Aljaz Hojski | Vision Sensing | Best Researcher

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Dr. Aljaz Hojski | Vision Sensing | Best Researcher

Dr. Aljaz Hojski | Vision Sensing | Cadre doctor at Universitätspital Basel | Switzerland

Dr. Aljaz Hojski is a highly respected thoracic surgeon and clinical researcher, currently affiliated with Universitätspital Basel. With a strong focus on surgical innovation and patient-centered care, his contributions in minimally invasive thoracic procedures and oncological surgery have gained widespread recognition across academic and clinical communities. His medical background is complemented by an extensive portfolio of scientific publications, collaborative research initiatives, and active peer-review responsibilities in high-impact journals. A committed academician and practicing consultant, Dr. Hojski is known for bridging the gap between clinical application and evidence-based research, especially in lung cancer management, thoracic trauma, and postoperative pain optimization.

Academic Profile:

ORCID

Scopus

Education:

Dr. Hojski obtained his foundational medical education at the University of Ljubljana, where he developed a keen interest in thoracic medicine and surgical procedures. His education included comprehensive training in general medicine, with progressive specialization in thoracic surgery during his clinical rotations and postgraduate residency programs. Throughout his academic journey, he emphasized scientific inquiry alongside clinical excellence, engaging in laboratory-based research and hospital-based surgical trials. This dual focus on science and surgery established a strong platform for his later contributions to applied clinical research and international collaborations in minimally invasive thoracic techniques.

Experience:

Dr. Hojski currently serves in a senior consultant role within the Department of Thoracic Surgery at Universitätspital Basel, a leading center for cardiothoracic care and research in Europe. He is actively involved in surgical planning, patient care, and mentoring junior clinicians. In addition to his clinical duties, he contributes to institutional and multicenter research protocols aimed at improving perioperative outcomes and refining surgical strategies. His professional experience spans diverse domains including advanced thoracoscopic resections, surgical pain management, and postoperative complication risk stratification. Dr. Hojski’s extensive collaborations with multidisciplinary teams, including radiologists, anesthesiologists, and oncologists, have enabled the successful translation of academic research into clinical best practices.

Research Interest:

Dr. Hojski’s primary research interests include thoracic oncology surgery, 3D imaging and surgical planning, postoperative pain control strategies, and risk prediction in lung resection patients. He has been an investigator and co-investigator on several funded research projects focused on optimizing pain therapy following minimally invasive lung operations, and the development of advanced imaging tools for segmental lung function assessment. His research also extends into clinical outcome analysis, where he contributes to developing predictive models for surgical complications and evaluating the effectiveness of new procedural technologies. His interdisciplinary approach enables him to align clinical insight with scientific rigor in solving real-world surgical challenges.

Awards:

Dr. Hojski has been nominated for several recognitions in the field of medical science and thoracic surgery, reflecting his continued impact on both clinical advancement and scientific contribution. His research output and leadership have earned him invitations to present at international symposia, while his peer-reviewed publications and service as a reviewer demonstrate his influence in academic publishing. He remains committed to excellence in both operative care and medical scholarship, making him a compelling nominee for awards that celebrate high-impact contributions to science and medicine.

Selected Publications:

  • Estimating Postoperative Lung Function Using Three-Dimensional Segmental HRCT-Reconstruction: A Retrospective Pilot Study on Right Upper Lobe Resections, 2025, 60 citations

  • Perioperative Intravenous Lidocaine in Thoracoscopic Surgery for Improved Postoperative Pain Control: A Randomized, Placebo-Controlled, Double-Blind, Superiority Trial, 2024, 85 citations

  • Planning Thoracoscopic Segmentectomies with 3-Dimensional Reconstruction Software Improves Outcomes, 2025, 45 citations

  • A Risk Score to Predict Postoperative Complications in Patients with Resectable Non-Small Cell Lung Cancer, 2025, 50 citations

Conclusion:

Dr. Aljaz Hojski represents the ideal candidate for prestigious international research recognition, owing to his consistent contributions to thoracic surgery, clinical research, and interdisciplinary innovation. Through a well-balanced integration of surgical expertise, scientific research, and professional leadership, he has advanced both patient care and academic knowledge in thoracic medicine. His published works continue to shape protocols and influence best practices within surgical communities globally. As a forward-looking clinician-scientist, Dr. Hojski is well-positioned to lead future developments in thoracic healthcare and surgical outcomes research, making him a deserving nominee for awards that honor excellence in clinical and academic medical sciences.

 

 

Omid Abachian Ghasemi | Wireless Sensors and WSN | Best Researcher Award

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Dr. Omid Abachian Ghasemi | Wireless Sensors and WSN | Best Researcher Award

PhD Graduate at urmia university, Iran

Omid Abachian Ghasemi is a dedicated researcher in the field of wireless communications, specializing in UAV-assisted and RIS/IRS-assisted wireless networks. With a strong academic foundation, including a Ph.D. in Electrical Engineering from Urmia University (2024), his work focuses on resource and power allocation strategies in wireless-powered sensor networks. He has published several high-impact articles in renowned journals such as IEEE Internet of Things Journal, IEEE Communications Letters, IEEE Access, and Computer Networks, addressing key challenges in throughput maximization and network optimization. Proficient in MATLAB, Python, and LaTeX, Omid combines analytical expertise with practical simulation skills. Fluent in Persian, English, and Turkish, he is well-equipped for international collaboration. His research reflects a deep commitment to advancing next-generation wireless communication systems, making him a strong candidate for recognition as a leading researcher in sensing and communication technologies.

Professional Profile 

🎓 Education Background of Omid Abachian Ghasemi

Omid Abachian Ghasemi has built a solid academic foundation in the field of Electrical Engineering. He earned his Bachelor’s degree in Electrical Engineering from Tabriz University in 2012, where he developed a strong grasp of core engineering principles. Continuing his academic journey, he completed a Master of Science in Electrical Engineering (Communication) at Sahand University of Technology, Tabriz, in 2015, with a focus on advanced communication systems. Most recently, he achieved a significant milestone by completing his Ph.D. in Electrical Engineering – Wireless Communication at Urmia University in 2024, where he specialized in cutting-edge topics such as UAV and RIS-assisted wireless networks. His educational trajectory reflects a consistent dedication to mastering both theoretical and applied aspects of modern communication technologies.

💼 Professional Experience of Omid Abachian Ghasemi

Omid Abachian Ghasemi has cultivated a focused and research-driven professional career in the field of wireless communications and sensor networks. His expertise lies in the design and optimization of advanced wireless systems, particularly involving UAV-assisted, RIS/IRS-enabled, and wireless-powered sensor networks. Throughout his academic journey, he has actively contributed to multiple high-impact research projects, leading to publications in prestigious IEEE journals. His hands-on experience with simulation tools like MATLAB and Python, along with his proficiency in LaTeX for technical writing, has enabled him to develop and communicate complex algorithms and network models effectively. Although primarily rooted in academia, Omid’s work demonstrates a deep understanding of practical engineering challenges, especially in resource allocation, network throughput maximization, and next-generation communication systems, making him a valuable contributor to the future of smart wireless technologies.

🔬 Research Interests of Omid Abachian Ghasemi

Omid Abachian Ghasemi’s research interests lie at the forefront of next-generation wireless communication systems, with a particular focus on UAV-assisted networks, Reconfigurable Intelligent Surfaces (RIS/IRS), and wireless-powered sensor networks. His work centers on developing advanced resource and power allocation algorithms, aiming to maximize network efficiency and throughput in energy-constrained environments. He is especially interested in exploring TDMA and FDMA techniques within RIS-assisted architectures and optimizing UAV placement for improved connectivity and coverage. By integrating aerial platforms and intelligent reflecting surfaces into wireless systems, Omid seeks to overcome traditional limitations in wireless communication, contributing significantly to the advancement of green, adaptive, and high-performance communication networks.

🏆 Awards and Honors of Omid Abachian Ghasemi

While specific awards and honors have not been listed in the available profile, Omid Abachian Ghasemi’s recent achievements reflect a high level of academic excellence and research impact. His acceptance and publication of multiple papers in top-tier IEEE journals, such as IEEE Internet of Things Journal, IEEE Communications Letters, and IEEE Access, serve as strong indicators of his scholarly recognition in the field of wireless communications. These publications, combined with his contributions to cutting-edge research on UAV and RIS-assisted networks, suggest that he is well-positioned to receive prestigious academic and research awards in the near future. His continued dedication and innovative work make him a strong contender for honors such as the Best Researcher Award in sensing and communication technologies.

📚 Publications Top Noted

1. Joint Optimization of UAV Placement and Resource Allocation in FDMA Wireless‑Powered Sensor Networks

  • Authors: Omid Abachian Ghasemi & Mehdi Chehel Amirani
  • Year: 2025 (in IEEE Access)
  • Citation: DOI 10.1109/ACCESS.2025.3574193

2. The design of an RIS‑assisted FDMA wireless sensor network for sum throughput maximization

  • Authors: Omid Abachian Ghasemi; Masoumeh Azghani; Mehdi Chehel Amirani
  • Year: October 2025 (Computer Networks)
  • Citation: DOI 10.1016/j.comnet.2025.111512

3. Resource Allocation in a RIS‑Assisted TDMA Wireless Powered Sensor Network Using UAV

  • Authors: Omid Abachian Ghasemi & Mehdi Chehel Amirani
  • Year: June 2025 (IEEE Communications Letters)
  • Citation: DOI 10.1109/LCOMM.2025.3562118

4. Resource and Power Allocation for Sum‑Throughput Maximization in RIS‑Assisted TDMA Wireless Sensor Networks

  • Authors: Omid Abachian Ghasemi; Mehdi Chehel Amirani; Masoumeh Azghani
  • Year: July 1, 2024 (IEEE Internet of Things Journal)
  • Citation: DOI 10.1109/JIOT.2024.3390199

 Conclusion

Omid Abachian Ghasemi is a strong and promising candidate for the Best Researcher Award, particularly in the fields of intelligent wireless networks and sensor technologies. His recent and focused publication track record in top-tier IEEE journals, combined with his advanced studies and technical skill set, clearly demonstrates innovation and depth.

 

Assoc. Prof. Dr. Dinh Khoi Phan | Ultrasonic Sensor Awards | Best Researcher Award

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Assoc. Prof. Dr. Dinh Khoi Phan | Ultrasonic Sensor Awards | Best Researcher Award

Assoc. Prof. Dr. Dinh Khoi Phan, Can Tho University, Vietnam

Dr. Dinh Khoi Phan is an Associate Professor and Dean of the Faculty of Finance and Banking at Can Tho University, Viet Nam, where he has been actively contributing to academia since 2003. He holds a Ph.D. in Finance from Lincoln University, New Zealand (2013), a Master of Management from the University of the Philippines (2003), and a B.Sc. in Finance from Can Tho University (1999). His research spans rural finance, economic development, development finance, banking, behavioral finance, and cryptocurrency. Dr. Phan has led and participated in numerous government-funded research projects focused on agricultural policy, SME support, risk management in rice crop insurance, and smart city development in the Mekong River Delta. He is also the author and co-author of several books and book chapters addressing financial systems and socio-economic development in Vietnam. Through his leadership, academic work, and practical contributions, Dr. Phan has become a prominent figure in Vietnam’s financial research and policy landscape.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Dr. Dinh Khoi Phan

Dr. Dinh Khoi Phan is an accomplished scholar and academic leader whose research spans finance, rural development, and economic transformation in the Mekong River Delta. With a Ph.D. in Finance from Lincoln University, New Zealand, and over two decades of academic and policy-driven research experience, he exemplifies the qualities sought in a Best Researcher Award recipient.

🎓 Education

  • 📘 Ph.D. in Finance – Lincoln University, Canterbury, New Zealand (April 2013)

  • 📗 Master of Management – University of the Philippines, Los Baños (June 2003)

  • 📕 B.Sc. in Finance – Can Tho University, Viet Nam (September 1999)

👨‍🏫 Work Experience

  • 🧑‍🏫 Associate Professor & Dean, Faculty of Finance and Banking, Can Tho University (2020–present)

  • 📚 Lecturer, Department of Finance and Banking, Can Tho University (2012–present)

  • 📖 Lecturer, Department of Economics, Can Tho University (2005–2012)

  • 📖 Lecturer, Agricultural Economics, Can Tho University (2003–2005)

  • 🔬 Research Assistant & 👨‍🏫 Teaching Assistant, Commerce Division, Lincoln University (2011)

🏆 Achievements & Recognitions

  • 📖 Published Author of multiple Vietnamese books on finance and economics

  • 📘 Led and contributed to 9 major research projects focused on rural development, insurance, SMEs, and smart city planning in the Mekong Delta

  • 💼 Policy Influence through development strategies funded by national and provincial governments

  • 🌱 Specialized in microfinance, economic development, and agricultural risk management in Southeast Asia

Publication Top Notes:

Dirichlet Mixed Process Integrated Bayesian Estimation for Individual Securities

Predictors of Return on Assets and Return on Equity for Banking and Insurance Companies on Vietnam Stock Exchange

Asymmetries in responses of commercial banks in a transitional economy to countercyclical monetary policy: The case of Romania

The Transmission Mechanism of Russian Central Banks Countercyclical Monetary Policy since 2011: Evidence from the Interest Rate Pass-Through

The impact of microcredit on rural households in the Mekong River Delta of Vietnam

Formal and informal rural credit in the Mekong River Delta of Vietnam: Interaction and accessibility

 

Prof. Godwin Okeke | Mathematics | Best Researcher Award

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Prof. Godwin Okeke | Mathematics | Best Researcher Award 

Prof. Godwin Okeke, Federal University of Technology, Nigeria

Godwin Amechi Okeke is a Reader (Associate Professor) in the Department of Mathematics at the Federal University of Technology, Owerri, Nigeria. Born on December 5, 1980, in Obeagu Oduma, Enugu State, he earned his B.Sc. in Mathematics from the University of Nigeria, Nsukka, followed by an M.Sc. and Ph.D. in Mathematics (Pure) from the University of Lagos. He completed a postdoctoral fellowship at the Abdus Salam School of Mathematical Sciences, Government College University, Lahore, Pakistan. Dr. Okeke’s research focuses on Functional Analysis. He has extensive teaching experience across undergraduate and postgraduate levels, having served at several Nigerian universities including Covenant University and Michael Okpara University of Agriculture. He is proficient in English and Igbo, skilled in LaTeX, Matlab, and Microsoft Office, and is recognized for his dedication to research, teaching, and academic service.

Professional Profile:

SCOPUS

ORCID

Summary of Suitability for Best Researcher Award:

Dr. Godwin Amechi Okeke is a highly qualified and dedicated academic with a solid background in pure mathematics, particularly in the area of functional analysis. With a Ph.D. from the University of Lagos and postdoctoral research experience at the Abdus Salam School of Mathematical Sciences in Pakistan, Dr. Okeke has demonstrated a consistent commitment to advancing mathematical research.

🎓 Education

  • 🏫 Primary Education: Joint School, Obeagu Oduma, Enugu State (1988–1993) – PSLC

  • 🏫 Secondary Education: Kosofe College, Ketu, Lagos State (1993–1997) – SSCE

  • 🎓 Bachelor’s Degree: B.Sc (Hons) in Mathematics (2nd Class Upper), University of Nigeria, Nsukka (2006)

  • 🎓 Master’s Degree: M.Sc in Pure Mathematics, University of Lagos (2010)

  • 🎓 Doctorate Degree: Ph.D in Mathematics, University of Lagos (2014)

  • 🎖️ Postdoctoral Fellowship: Abdus Salam School of Mathematical Sciences, GCU Lahore, Pakistan (2019–2020)
    Host: Prof. Dr. Mujahid Abbas

💼 Work Experience

  • 👨‍🏫 Associate Professor (Reader), Federal University of Technology, Owerri (2021–Present)

  • 👨‍🏫 Senior Lecturer, Federal University of Technology, Owerri (2017–2021)

  • 👨‍🏫 Senior Lecturer, Michael Okpara University of Agriculture, Umudike (2016–2017)

  • 👨‍🏫 Lecturer I, Covenant University, Ota (2014–2016)

  • 👨‍🏫 Lecturer II & Assistant Lecturer, Distance Learning Institute, University of Lagos (2014)

  • 🎓 Graduate Fellow & Teaching Assistant, University of Lagos (2010–2013)

  • 👨‍🏫 Mathematics Teacher, Caleb International College & Kaduna State Ministry (2007–2009)

  • 👶 Class Teacher, Wonderful Lord Nursery & Primary School (1999–2000)

🏆 Achievements, Awards & Honors

  • 📜 Completed a postdoctoral fellowship in Functional Analysis under renowned scholar Prof. Mujahid Abbas.

  • 🌍 International research exposure through work in Pakistan.

  • 👨‍🎓 Mentorship of undergraduate and postgraduate students in mathematics.

  • 💬 Skilled in teaching a wide range of mathematics courses at both undergraduate and postgraduate levels across several Nigerian universities.

  • 📘 Known for deep expertise in Functional Analysis, contributing to academia with solid teaching and research.

Publication Top Notes:

A Novel Fixed-Point Iterative Process for Multivalued Mappings Applied in Solving a HIV Model of Fractional Order

Novel Method for Approximating Fixed Point of Generalized α-Nonexpansive Mappings with Applications to Dynamics of a HIV Model

An Efficient Iterative Scheme for Approximating the Fixed Point of a Function Endowed with Condition (Bγ,μ) Applied for Solving Infectious Disease Models

A novel fixed point iteration process applied in solving the Caputo type fractional differential equations in Banach spaces

Another Meir-Keeler-type nonlinear contractions

A novel approach based on embedding Green’s functions into fixed point iterations for solving boundary value problems

Dr. Claude Kouakam | Monitor | Best Researcher Award

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Dr. Claude Kouakam | Monitor | Best Researcher Award

Dr. Claude Kouakam, CHU Lille, France

Dr. Claude Kouakam, MD, PhD, is a distinguished cardiologist specializing in cardiac rhythm disorders, currently serving as a full-time hospital practitioner at the Heart and Lung Institute, Lille University Hospital (CHU Lille), where he heads the Syncope Unit and the Non-Invasive Electrophysiology Laboratory. A Fellow of the Heart Rhythm Society (HRS) and a member of several prominent scientific societies including the European Society of Cardiology and the French Society of Cardiology, Dr. Kouakam has contributed significantly to clinical research and medical education. He has authored or co-authored 79 peer-reviewed clinical research articles, 89 didactic publications, and has delivered over 100 lectures in continuing medical education and scientific congresses worldwide. In addition to his editorial roles with several leading scientific journals, he serves as Deputy Editor-in-Chief of Presse Médicale Formation. Dr. Kouakam is actively involved in the academic development of future cardiologists, having supervised 15 medical theses and served on 10 doctoral juries.

Professional Profile:

SCOPUS

🏅 Best Researcher Award

Dr. Claude KOUAKAM stands out as a leading expert in cardiac electrophysiology with an extensive clinical, academic, and scientific background. His contributions span across advanced patient care, medical education, and high-impact research. Key factors that strongly support his candidacy include

🎓 Education & Academic Involvement

  • Medical Doctor (MD) & PhD – Specialized in Cardiology 🫀

  • Former Hospital Intern 🏥

  • Former Assistant Chief of Clinic 🩺

  • Supervisor of 15 medical and cardiology doctoral theses 📘

  • Participated in 10 thesis juries 🎓

  • Active educator and mentor for medical students and cardiology residents 👨‍🏫

  • Frequent lecturer in postgraduate education and CME programs (106 lectures) 🎤

🏥 Professional Experience

  • Hospital Practitioner – Cardiovascular & Pulmonary Department, CHU Lille 🏨

  • Department of Cardiac Electrophysiology, Heart and Lung Institute, Lille University Hospital 💓

  • Head of the Syncope Unit 🌀 and Non-Invasive Electrophysiology Lab ⚡

  • Full-time hospital physician at CHU Lille 🧑‍⚕️

📚 Scientific Work & Publications

  • 79 Clinical Research Articles, including 19 as First Author 📝

  • 89 Didactic Publications and Book Chapters 📖

  • 117 Abstracts Presented at National & International Scientific Congresses 🗂️

  • 117 Invited Talks at Scientific Congresses 🌐

  • Editorial Roles:

    • Deputy Editor-in-Chief – Presse Médicale Formation 🗞️

    • Reviewer/Editorial Board Member – Multiple prestigious journals including:

      • BMJ, American Journal of Cardiology, Journal of Interventional Cardiac Electrophysiology, Prescrire, and more 📑

🏆 Honors & Distinctions

  • 🥇 Listed in Who’s Who in Medicine and Healthcare since 2004

  • 🌍 Listed in Who’s Who in the World since 2007

👥 Scientific Societies & Leadership

  • Board Member – French Society of Cardiology 🇫🇷

  • Fellow – Heart Rhythm Society (HRS) 🌎

  • Member:

    • European Society of Cardiology 🇪🇺

    • European Heart Rhythm Association (EHRA)

    • Electrophysiology Group of the French Society of Cardiology

    • Lille Research Group on Cardiovascular Pathology 🔬

Publication Top Notes:

Comprehensive vs. standard remote monitoring of cardiac resynchronization devices in heart failure patients: results of the ECOST-CRT study

Distinct Substrates of Idiopathic Ventricular Fibrillation Revealed by Arrhythmia Characteristics on Implantable Cardioverter-Defibrillator

Stereotactic Radioablation for Ventricular Tachycardia in the Setting of Electrical Storm

Usefulness of remote monitoring for the early detection of back-up mode in implantable cardioverter defibrillators

Prognostic significance of a low T/R ratio in Brugada syndrome

Specificities of electrocardiogram and ryhtm disorders in women: Some precisions

Reprint of: Specificities of electrocardiogram and rhythm disorders in women

Prediction of ventricular arrhythmias in patients with a spontaneous Brugada type 1 pattern: The key is in the electrocardiogram

Prof. Mohsen Hayati | Microstrip Sensor | Best Researcher Award

Posted on by Global Sensor Awards

Prof. Mohsen Hayati | Microstrip Sensor | Best Researcher Award 

Prof. Mohsen Hayati, Razi University, Iran

Dr. Mohsen Hayati is a Professor in the Electrical Engineering Department at Razi University, Kermanshah, Iran, where he has held various academic and administrative positions, including Head of the Department and Dean of Industry Relations. He earned his Ph.D. in Electronics from Delhi College of Engineering, India. Dr. Hayati’s research interests focus on electronic circuit synthesis, microwave and millimeter-wave devices, and the application of computational intelligence techniques like Artificial Neural Networks (ANN) and Neuro-Fuzzy Inference Systems (ANFIS) for system modeling and simulation. He has supervised 25 Ph.D. and 150 M.Sc. students, published numerous scientific papers, and holds multiple patents. Recognized for his contributions, he has received Razi University’s Distinguished Researcher Award multiple times and was named among the top 2% highly cited researchers globally from 2021 to 2024.

Professional Profile:

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SCOPUS

Summary of Suitability for Best Researcher Award

Dr. Hayati’s extensive research experience includes developing innovative systems such as high-accuracy viscometers, fault indicators for power lines, and advanced microstrip filters. His research in artificial neural networks (ANN), fuzzy systems, and neuro-fuzzy inference systems for modeling and simulations has been impactful. Additionally, his published work and patents, including several related to automation and control systems, highlight his creativity and problem-solving skills.

Education 🎓

  • Ph.D. in Electronics, Delhi College of Engineering, Delhi University, India (1988–1992)
    Thesis: Analysis and Optimization of Pipeline Network based on Graph Theory

  • M.Sc. in Electronics, Delhi College of Engineering, Delhi University, India (1986–1987)
    Thesis: Design and Analysis of Digital Ratio Meter

  • B.Sc. in Electronics, Nagarjuna University, India (1980–1985)
    Thesis: Design of Random Sequence Generator

Work Experience 🏫

  • Professor: Electrical Engineering Department, Razi University (2014–Present)

  • Associate Professor: Electrical Engineering Department, Razi University (2008–2014)

  • Assistant Professor: Electrical Engineering Department, Razi University (1993–2008)

  • Head of Electrical Engineering Department: Razi University (1993–1996)

  • Dean of Industry Relations Office: Razi University (2004–2007)

  • Head of Computational Intelligence Lab: Razi University (2008–Present)

  • Principal of Razi Engineering College: Razi University (2015–Present)

Achievements 🏆

  • Supervisor:

    • 25 Ph.D. students

    • 150 MSc students

  • Research Interests:

    • Electronic circuits synthesis

    • Microwave and millimeter-wave devices and circuits

    • Computational intelligence (ANN, Fuzzy System, ANFIS) for simulations and modeling

Awards & Honors 🏅

  • Razi University Distinguished Researcher Award (2005–2023)
    Multiple years of recognition for excellence in research

  • Foundation of Distinguished People in West of Iran Award (2010)

  • Top 2% Highly Cited Researcher (2021–2024)

  • Patent Awards:

    • “Birds Repellent for Electric Power Stations”

    • “High Accuracy Digital Viscometer for Paints”

    • “Digital Measuring and Automatic Control of Chlorine Concentration System”

    • “Fault Indicator Instrument in High Power Lines”

    • “Digital Intelligent Guidance System for Blind People”

Publication Top Notes:

Application of artificial neural networks for temperature forecasting

CITED:204

Artificial neural network approach for short term load forecasting for Illam region

CITED:199

Multilayer perceptron neural networks with novel unsupervised training method for numerical solution of the partial differential equations

CITED:156

Optical biosensors using plasmonic and photonic crystal band-gap structures for the detection of basal cell cancer

CITED:90

An ultra-high sensitive plasmonic refractive index sensor using an elliptical resonator and MIM waveguide

CITED:88