Rajesh | Biosensor | Best Researcher Award

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Dr. Rajesh | Biosensor | Best Researcher Award

Chief Scientist at NationalPhysical Laboratory, India

Summary:

Dr. Rajesh is a distinguished chemist with over two decades of experience in the fields of Material Science and Biomedical Metrology. His pioneering research on electroactive materials and bioactive nanomaterials has significantly contributed to advancements in diagnostic devices and medical metrology. With international research experience at renowned institutions like the University of Pennsylvania and the University of California, Riverside, Dr. Rajesh has been at the forefront of innovation in biomedical nanotechnology. His commitment to scientific excellence is demonstrated through his multiple fellowships, awards, and membership in esteemed scientific organizations.

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Chemistry – University of Delhi, India (1998)
  • M.Sc. in Materials Chemistry – J.M. University, New Delhi (1994)
  • B.Sc. in Physics, Chemistry, and Mathematics – J.M. University, New Delhi (1991)

🏢 Professional Experience:

Dr. Rajesh is an accomplished researcher and academic specializing in Material Science and Biomedical Metrology. He has significant expertise in electroactive inorganic/organic materials, bioactive nanomaterials, electrochemistry, conducting polymers, and soft materials. His work is centered on applications of these materials in diagnostic devices such as electrochemical, optical, and field-effect transistor nanobiosensors. Additionally, he is well-versed in biomedical metrology, focusing on the development of medical device standards, testing, and calibration. Over his career, Dr. Rajesh has been recognized internationally through prestigious fellowships from ICMR, IUSSTF, and JSPS, allowing him to collaborate with leading institutions in the USA and Japan. His professional affiliations include memberships in key scientific societies and editorial roles in reputable journals.

Research Interests:

  • Material Science, with a focus on electroactive materials, bioactive nanomaterials, electrochemistry, conducting polymers, and soft materials.
  • Biomedical Metrology, emphasizing the development of standards, testing, and calibration for medical devices.
  • Nanobiosensors, specifically in the areas of electrochemical, optical, and field-effect transistor diagnostic devices for biomedical applications.

Honors and Awards:

  • ICMR International Fellowship for Young Biomedical Scientists (2014) – For advanced research on graphene field-effect transistor nano-devices at the University of Pennsylvania, USA.
  • IUSSTF Research Fellowship Award (2010) – For research on nanobiosensors at the University of California, Riverside, USA.
  • JSPS International Postdoctoral Fellowship Award (2002) – For research on conducting polymers at the Kyushu Institute of Technology, Japan.

Professional Affiliations:

  • Member, Materials Research Society of India (MRSI)
  • Elected Member, National Academy of Sciences, India (MNASc) – 2015
  • Member, Asia Pacific Metrology Program (APMP) Medical Device Metrology Focus Group – Since 2015
  • Editorial Board Member, Applied Biochemistry and Biotechnology (Springer) – 2014-2016
  • Editorial Board Member, Frontiers in Chemistry (Swiss Federal Institute of Technology, Lausanne) – 2016-2018

Author Metrics:

Dr. Rajesh has published extensively in high-impact journals within Material Science and Biomedical Metrology. His work on bioactive nanomaterials and conducting polymers for diagnostic devices is widely cited, contributing to advancements in both academic and industrial applications. His Google Scholar profile demonstrates his influence in the scientific community, with numerous citations and h-index reflecting his contributions to electrochemistry and nanobiosensors.

Top Noted Publication:

A label-free liquid-crystal-droplet based optical sensing platform for the detection of Neisseria gonorrhoeae

  • Authors: R. Kumar, G. Sumanaa, S. Sood, S. S. Pandey, H. Tanaka, and Rajesh*
  • Journal: Journal of Molecular Liquids
  • Publisher: Elsevier
  • Impact Factor: 5.3
  • Status: Accepted, in press (2024)
  • Summary: This research introduces a cutting-edge optical sensing platform utilizing liquid-crystal droplets for label-free detection of the Neisseria gonorrhoeae bacterium, potentially improving diagnostic applications in clinical microbiology.

Smectic layer reorientation by surface mode in surface-stabilized ferroelectric liquid crystal

  • Authors: N. Yadav, D. Goel, A. K. Yadav, A. Choudhary, Rajesh, A. M. Biradar, S. P. Singh
  • Journal: Applied Physics A: Materials Sciences & Processing
  • Publisher: Springer
  • Volume: 130
  • Year: 2024
  • Page: 804
  • Summary: This study explores the reorientation mechanisms of smectic layers in ferroelectric liquid crystals through surface modes. The findings are valuable for enhancing alignment control in liquid crystal displays and photonics.

Domain reorientation due to smectic layer instability in high tilt angle-based surface-stabilized ferroelectric liquid crystal cell

  • Authors: N. Yadav, S. Kumar, A. Choudhary, A. K. Thakur, Rajesh, S. P. Singh, A. M. Biradar
  • Journal: Journal of Applied Physics
  • Publisher: AIP
  • Volume: 135
  • Year: 2024
  • Page: 154701
  • Summary: Investigating domain reorientation in ferroelectric liquid crystals, this paper focuses on instability within smectic layers at high tilt angles, with implications for the stability of liquid crystal devices in various technological applications.

Nanozymes: A comprehensive review on emerging applications in cancer diagnosis and therapeutics

  • Authors: A. Deshwal, K. Saxena, G. Sharma, Rajesh, F.A. Sheikh, C. S. Seth, R. M. Tripathi
  • Journal: International Journal of Biological Macromolecules
  • Publisher: Elsevier
  • Impact Factor: 7.7
  • Volume: 256
  • Year: 2024
  • Page: 128272
  • Summary: This comprehensive review covers the application of nanozymes in oncology, emphasizing their diagnostic and therapeutic potential, which highlights nanozymes as transformative agents in cancer treatment strategies.

Liquid crystal-assisted optical DNA biosensor for the selective detection of bacterium Neisseria gonorrhoeae

  • Authors: Rohit Kumar, Gajjala Sumana, Amit Choudhary, Seema Sood, Rajesh*
  • Journal: Liquid Crystals
  • Publisher: Taylor & Francis
  • Volume: 51
  • Year: 2024
  • Pages: 857-867
  • Summary: This paper describes a liquid crystal-based DNA biosensor developed for the selective detection of Neisseria gonorrhoeae, providing a robust and precise diagnostic method aimed at improving pathogen detection in medical diagnostics.

Conclusion:

Dr. Rajesh is a highly qualified candidate for the Best Researcher Award, with substantial contributions to material science and biosensor development. His research is both innovative and impactful, with potential applications across multiple fields. Although expanding the practical applications of his work and emphasizing technology transfer could further strengthen his profile, his current achievements make him a strong and deserving candidate for this recognition.

 

Nieshkumar Patel | Cyber Security | Best Researcher Award

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Mr. Nimeshkumar Patel | Cyber Security | Best Researcher Award

Sr Network Engineer at Humana Inc, United States 

Summary:

Nimeshkumar Patel is a seasoned network architect and researcher with a rich background in designing secure network infrastructures and implementing cloud solutions. With a solid technical foundation and a commitment to enhancing cybersecurity practices, he has made significant contributions to the field, particularly in developing secure access service edge (SASE) architectures and exploring the potential of quantum computing in information security. Nimesh is also an active contributor to academic literature, having authored multiple papers addressing critical challenges in network security and smart technology integration.

Professional Profile:

👩‍🎓Education:

  • Bachelor of Engineering in Electronics and Communication
  • Quantum Computing Fundamentals & Quantum Computing Algorithms for Cybersecurity, Chemistry, and Optimization
    Massachusetts Institute of Technology xPro, Cambridge, MA (09-2020 to 12-2020)

🏢 Professional Experience:

Nimeshkumar Patel has over 20 years of extensive hands-on experience in network, security, and cloud administration. He currently serves as a Senior Network Architect at Humana Inc., where he is responsible for designing and implementing solutions in data centers, pharmacies, and clinics, including the deployment of a Data Center with EVPN VXLAN Fabric and the design of SASE architectures. Previously, he worked as a Network Engineer V at Synchronoss Technologies Inc., focusing on SD-WAN solutions and cloud migrations. Nimesh has held significant positions in various companies, including ATOS/McGraw-Hill Education, AXIS Telecom in Indonesia, and BT Global Services with NHS UK. His expertise encompasses Cisco, Juniper, Palo Alto, and cloud platforms (AWS, OCI, Azure), with a proven track record in troubleshooting, network design, and implementation across multi-platform environments.

Research Interests:

Nimesh’s research focuses on the intersection of quantum computing and cybersecurity, exploring the application of advanced technologies in enhancing network security, particularly in healthcare information systems. He is also interested in the development of sustainable smart cities through IoT and data analytics.

Top Noted Publication:

  • SECURE ACCESS SERVICE EDGE (SASE): Evaluating the Impact of Converged Network Security Architectures in Cloud Computing
    • Authors: N. Patel
    • Journal: Journal of Emerging Technologies and Innovative Research
    • Volume: 11
    • Issue: 3
    • Pages: e703-e714
    • Citations: 41
    • Year: 2024
  • QUANTUM CRYPTOGRAPHY IN HEALTHCARE INFORMATION SYSTEMS: Enhancing Security in Medical Data Storage and Communication
    • Authors: N. Patel
    • Journal: Journal of Emerging Technologies and Innovative Research
    • Volume: 9
    • Issue: 8
    • Pages: g193-g202
    • Citations: 33
    • Year: 2022
  • Transforming Incident Responses, Automating Security Measures, and Revolutionizing Defence Strategies through AI-Powered Cybersecurity
    • Authors: H. M. Kumar Shukla, N. Patel
    • Journal: Journal of Emerging Technologies and Innovative Research
    • Volume: 11
    • Issue: 3
    • Citations: 23
    • Year: 2024
  • SUSTAINABLE SMART CITIES: Leveraging IoT and Data Analytics for Energy Efficiency and Urban Development
    • Authors: N. Patel
    • Journal: Journal of Emerging Technologies and Innovative Research
    • Volume: 8
    • Issue: 3
    • Pages: 313-219
    • Citations: 18
    • Year: 2021
  • A COMPARATIVE STUDY OF INTERPRETABLE MACHINE LEARNING MODELS FOR ANALYZING HEALTHCARE DATA
    • Authors: K. Shukla, N. Patel, H. Mistry
    • Journal: International Journal of Emerging Technologies and Innovative Research
    • Citations: 6
    • Year: 2024

Conclusion:

Mr. Nimeshkumar Patel stands out as a strong candidate for the Best Researcher Award due to his extensive experience in network architecture, his pioneering research in cybersecurity, and his contributions to critical areas such as quantum computing and smart technology integration. His solid professional background, combined with significant research contributions, underscores his commitment to enhancing cybersecurity practices.

With a few improvements in publication outreach and diversification of research themes, Mr. Patel has the potential to further enhance his impact on the field. His proactive approach to solving real-world cybersecurity challenges positions him as a valuable contributor to both academia and industry, making him deserving of the Best Researcher Award.

 

 

Taicir Mezghani | Econometrics and Finance | Best Researcher Award

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Assist Prof Dr. Taicir Mezghani | Econometrics and Finance | Best Researcher Award

Assistant Professor at University of Sfax , Tunisia
Summary:

Assist. Prof. Dr. Taicir Mezghani is a distinguished researcher and educator with a profound background in computer science, specializing in data mining, machine learning, and cybersecurity. He completed his Ph.D. at the University of Toulouse, France, and has since been dedicated to advancing the fields of AI and data science through teaching and research. His work emphasizes the development of secure, efficient, and ethical data systems, making significant contributions to both academic and practical applications of computer science.

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Computer Science – University of Toulouse, France
  • Master’s in Computer Science – University of Manouba, Tunisia
  • Bachelor’s in Computer Science – University of Manouba, Tunisia

🏢 Professional Experience:

Assist. Prof. Dr. Taicir Mezghani is an esteemed academic and researcher specializing in Computer Science, currently serving as an Assistant Professor. His expertise extends to data mining, machine learning, artificial intelligence, and cybersecurity. Over the years, Dr. Mezghani has held various academic positions, contributing significantly to research and teaching in the field. He has been actively involved in collaborative research projects at the national and international levels, focusing on applying AI to solve complex problems in different domains.

Research Interests:

Dr. Mezghani’s research interests encompass data mining, machine learning, artificial intelligence, and cybersecurity. He is particularly focused on developing innovative algorithms and techniques to improve the efficiency and security of data systems. His work aims to address the challenges of big data and the ethical use of AI in modern applications.

Author Metrics:

Dr. Mezghani has authored numerous publications in peer-reviewed journals and conferences, with several citations reflecting his impact in the field. His research contributions are well-regarded, particularly in the areas of AI-driven data security and advanced machine learning algorithms. Dr. Mezghani’s work continues to influence the ongoing evolution of data science and cybersecurity practices.

Top Noted Publication:

  • Journal: International Journal of Emerging Markets
  • Year: 2023
  • DOI: 10.1108/IJOEM-06-2020-0619
  • EID: 2-s2.0-85121467821
  • ISSN: 1746-8817, 1746-8809
  • Source: Scopus – Elsevier

“Forecast the Role of GCC Financial Stress on Oil Market and GCC Financial Markets Using Convolutional Neural Networks”

  • Journal: Asia-Pacific Financial Markets
  • Year: 2023
  • DOI: 10.1007/s10690-022-09387-3
  • EID: 2-s2.0-85139767055
  • ISSN: 1573-6946, 1387-2834
  • Source: Scopus – Elsevier

“Forecasting Bitcoin returns using machine learning algorithms: impact of investor sentiment”

  • Journal: EuroMed Journal of Business
  • Year: 2023
  • DOI: 10.1108/EMJB-03-2023-0086
  • EID: 2-s2.0-85170833198
  • ISSN: 1758-888X, 1450-2194
  • Source: Scopus – Elsevier

“Forecasting the impact of financial stress on hedging between the oil market and GCC financial markets”

  • Journal: Managerial Finance
  • Year: 2023
  • DOI: 10.1108/MF-10-2022-0472
  • EID: 2-s2.0-85169306019
  • ISSN: 1758-7743, 0307-4358
  • Source: Scopus – Elsevier

“Influence of oil price fluctuations on the network connectedness between oil, GCC Islamic and conventional financial markets”

  • Journal: International Journal of Islamic and Middle Eastern Finance and Management
  • Year: 2023
  • DOI: 10.1108/IMEFM-09-2021-0392
  • EID: 2-s2.0-85149312705
  • ISSN: 1753-8408, 1753-8394
  • Source: Scopus – Elsevier

Conclusion:

Assist. Prof. Dr. Taicir Mezghani is an excellent candidate for the Best Researcher Award, given his extensive contributions to data science, AI, and their applications in finance and cybersecurity. His work is characterized by its interdisciplinary nature, academic rigor, and practical relevance, making him a prominent figure in his field. Dr. Mezghani’s focus on ethical AI and innovative data systems addresses both current challenges and future needs in the digital economy.

To further strengthen his profile, expanding his research focus, enhancing visibility through open access, and increasing industry collaborations would be beneficial. Overall, Dr. Mezghani’s dedication to advancing AI-driven solutions positions him as a highly deserving nominee for the Best Researcher Award.

Thalita Obal | Operational Research | Best Researcher Award

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Prof. Thalita Obal | Operational Research | Best Researcher Award

Research Director at UTFPR, Brazil

Summary:

Dr. Thalita Monteiro Obal is an esteemed academic with a Ph.D. in Numerical Methods in Engineering from UFPR, which included advanced studies at the University of Portsmouth. She is a professor at the Federal Technological University of Paraná, where she directs research and postgraduate studies. Her research is dedicated to creating and applying mathematical models and optimization techniques to solve complex problems in engineering, healthcare, and sustainability.

Professional Profile:

👩‍🎓Education:

Ph.D. in Numerical Methods in Engineering
Post Graduate Program in Numerical Methods in Engineering (PPGMNE), Federal University of Paraná (UFPR)
Includes a sandwich period at the University of Portsmouth, United Kingdom.

Master’s in Climate Change, Biodiversity, and Sustainable Agriculture
African Centre of Excellence on Climate Change, Biodiversity and Agriculture, Côte d’Ivoire

Bachelor’s Degree in Biological Sciences
Joseph KI ZERBO University

🏢 Professional Experience:

Dr. Thalita Monteiro Obal currently serves as a Professor of Higher Education at the Federal Technological University of Paraná, Guarapuava Campus, where she also holds the position of Director of Research and Post Graduate Studies. Her role involves overseeing research initiatives and postgraduate programs, contributing to the advancement of numerical methods and their applications across various fields.

Research Interests:

Dr. Obal’s research focuses on the development of mathematical models and optimization methods within Operations Research. Her work has practical applications in several domains, including:

  • Maintenance engineering
  • Civil engineering
  • Healthcare
  • Sustainability

Top Noted Publication:

Maksym Lupei | Predictive Analytics | Best Paper Award

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Dr. Maksym Lupei | Predictive Analytics | Best Paper Award

Doctorate at The Pennsylvania State University, United States

Summary:

Dr. Maksym Lupei is a dedicated researcher and academic with extensive expertise in machine learning and computational genomics. Holding a Ph.D. in Information Technologies and Machine Learning from Uzhhorod National University, he has contributed significantly to the fields of text mining and artificial intelligence. Currently a Postdoctoral Researcher at The Pennsylvania State University, Dr. Lupei is recognized for his innovative work in developing large language models and optimizing computational frameworks for biomedical data analysis. His career reflects a blend of academic excellence and practical industry experience, underpinned by a strong commitment to advancing technology and data science.

Professional Profile:

👩‍🎓Education:

Ph.D. in Information Technologies and Machine Learning (2021)

  • Institution: Uzhhorod National University
  • Dissertation: Determining the Eligibility of Candidates for a Vacancy Using Artificial Neural Networks

MSc in Applied Mathematics (2013)

  • Institution: Uzhhorod National University
  • Thesis: .NET Websites Optimization

BSc in Applied Mathematics (2012)

  • Institution: Uzhhorod National University
  • Thesis: Modern Methods of Prediction

🏢 Professional Experience:

Dr. Maksym Lupei is currently a Postdoctoral Researcher in Computer Science & Engineering at The Pennsylvania State University (since August 2023), where he leads projects involving large language models for biomedical data fact-checking, computational genomics, and metagenomics. His work includes developing open-source text mining services and optimizing GPU infrastructure. Previously, he served as a Senior Research Fellow at the V. M. Glushkov Institute of Cybernetics of the National Academy of Science of Ukraine, specializing in machine learning and text mining (January 2022 – August 2023). At Uzhhorod National University, Dr. Lupei was an Assistant Professor in the Department of Informative and Operating Systems (December 2019 – January 2023), teaching programming languages and machine learning courses.

Dr. Lupei’s industry experience includes roles as an Engineering Manager at TIBCO Jaspersoft (March 2014 – February 2021), where he led cross-functional teams and established Agile/Scrum processes, and as a Full Stack Developer at JustAnswer (March 2011 – February 2014) and Swan Software Solutions (August 2010 – March 2011).

Research Interests

Dr. Lupei’s research interests encompass machine learning, large language models, computational genomics, metagenomics, and explainable artificial intelligence. His work focuses on processing large information arrays using mathematical methods, particularly in text mining.

Top Noted Publication:

 

 

Dwi Agustina Kurniawati | Industrial Engineering

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Prof. Dwi Agustina Kurniawati: Leading Researcher in Industrial Engineering

🎉 Congratulations Prof. Dwi Agustina Kurniawati on Winning the Most Reader’s Article Award! 🏆 Your dedication to research, mentorship, and collaboration with international teams is truly commendable. This award is a testament to your outstanding work and the impact it has on the broader community.

Prof. Dwi Agustina Kurniawati is a distinguished researcher in the field of Industrial Engineering, recognized for winning the Most Reader’s Article Award. Her commitment to research, mentorship, and international collaboration has earned her accolades in the academic community.

Professional Profile: