Andreea Cristina Mangra | Engineering | Innovative Research Award

Innovative Research Award

Andreea Cristina Mangra
Universidad Técnica Particular de Loja

Andreea Cristina Mangra
Affiliation Universidad Técnica Particular de Loja
Country Romania
Scopus ID 57224927334
Documents 11
Citations 32
h-index 3
Subject area Engineering
Event International PopularScientist Awards
ORCID 0000-0001-8415-8064

Andreea Cristina Mangra is presented in this academic recognition profile in connection with the Innovative Research Award at the International PopularScientist Awards. The profile summarizes the supplied researcher metrics, institutional affiliation, subject area, and selected bibliographic records provided for academic assessment. The available publication records cover topics including biomaterials, laser-based therapeutic approaches, nanomaterials, and clinical treatment procedures.

Abstract

This article presents an academic recognition profile for Andreea Cristina Mangra in the context of the Innovative Research Award associated with the International PopularScientist Awards. The supplied researcher record identifies an affiliation with Universidad Técnica Particular de Loja and lists Engineering as the subject area. Reported bibliometric indicators comprise 11 documents, 32 citations, and an h-index of 3. These figures are included as supplied metadata and should be checked against the corresponding author record before being used for formal evaluation. [1]

Keywords

Andreea Cristina Mangra; Innovative Research Award; International PopularScientist Awards; Engineering; research assessment; bibliometrics; scientific publications; citation analysis; h-index; biomaterials; nanomaterials; laser applications; academic recognition.

Introduction

Academic recognition programs provide a framework for acknowledging research activity, scholarly contributions, and potential applications of scientific work. A meaningful assessment typically considers publication records, citation indicators, research originality, methodological quality, and the relevance of a candidate’s contributions to a particular discipline. Bibliometric measures can help describe research visibility, but they do not independently establish the quality, novelty, or practical significance of scholarly work.[1] [2]

Research Profile

The supplied profile identifies the researcher’s institutional affiliation as Universidad Técnica Particular de Loja, country as Romania, and principal subject area as Engineering. The associated Scopus author identifier is 57224927334, while the ORCID identifier is 0000-0001-8415-8064. These identifiers provide routes for checking researcher records and resolving possible differences in names, affiliations, and publication attribution. [1]

Research Contributions

The supplied bibliographic records represent several scientific themes, including polymer-based tissue expanders, treatment approaches for infantile hemangiomas, laser-based pain management, up-converting nanocrystals, and laser-assisted photodynamic therapy. These themes demonstrate the multidisciplinary character of the provided bibliography, spanning materials science, clinical medicine, and applied optical technologies. The available contributor information, however, does not demonstrate that these works were authored or co-authored by Andreea Cristina Mangra. [3]

Publications

The following five bibliographic entries were supplied with the profile request. They are reproduced as records for verification and are not presented as confirmed publications of Andreea Cristina Mangra. The contributor lists provided for these works name other researchers. Author attribution should be checked against the original publisher pages and the researcher’s verified bibliographic profile before these records are used in award evaluation. [3]

  1. Hrib, J., Sirc, J., Lesny, P., Hobzova, R., Duskova-Smrckova, M., Michalek, J., & Smucler, R. (2017). Hydrogel tissue expanders for stomatology. Part I. Methacrylate-based polymers. Journal of Materials Science: Materials in Medicine.
  2. Malis, J., Stara, V., Blahova, K., Buckova, H., Faberova, R., Sterba, J., Klovrzova, S., Kyncl, M., Cerny, M., Hrdlicka, R., et al. (2017). Infantile hemangiomas. Current treatment procedures | Infantilní hemangiomas. Současné tělečné protředky. Czech-Slovak Pediatrics. The supplied bibliographic record does not include a DOI or a complete publisher URL.
  3. Šmucler, R., & Jenčová, J. (2016). Direct and indirect treatment of pain with lasers – Update 2016. Disease. The journal title and publication metadata are reproduced from the supplied record and require bibliographic verification. No DOI was provided

Research Impact

The supplied profile reports 32 citations across 11 documents and an h-index of 3. These indicators provide a limited quantitative description of the indexed research output represented by the submitted data. The h-index combines publication productivity and citation counts by identifying the number of publications with at least the same number of citations, subject to the database’s coverage and attribution practices. [2]

Award Suitability

The Innovative Research Award is the recognition category specified for this profile within the International PopularScientist Awards. An evidence-based assessment of suitability should establish the candidate’s authorship, clarify the novelty and significance of the research, and document the relevance of the work to the award’s published eligibility and evaluation criteria.

Conclusion

This profile organizes the supplied academic metadata for Andreea Cristina Mangra in the context of the Innovative Research Award and the International PopularScientist Awards. The reported record lists 11 documents, 32 citations, and an h-index of 3, together with an Engineering subject classification and researcher identifiers. These details provide a starting point for an academic profile but require verification against authoritative researcher records.

References

  1. Elsevier. (n.d.). Scopus author details: Andreea Cristina Mangra, Author ID 57224927334. Scopus. The author identifier and metrics in this article were supplied for profile preparation and have not been independently verified.
    https://www.scopus.com/authid/detail.uri?authorId=57224927334
  2. Google Scholar Profile. An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.
    https://scholar.google.com/citations?user=lSag8WYAAAAJ&hl=en
  3. Bibliographic records supplied by the requester, including the listed journal titles, publication details, contributor names, and available DOI identifiers. The records have not been independently confirmed as publications authored by Andreea Cristina Mangra. DOI records can be checked using
    10.1007/s10856-016-5818-y, 10.1016/j.jfluchem.2016.05.015
  4. ORCID. (n.d.). ORCID researcher identifier and profile. The identifier supplied for this article is 0000-0001-8415-8064. The connection between this identifier and the researcher named in the article should be verified before publication.
    https://orcid.org/0000-0001-8415-8064
  5. International PopularScientist Awards. (n.d.). Official award website. Award program information and official recognition details should be checked against the program’s published materials.
    https://popularscientist.com/

Hussam Noor | Engineering | Best Academic Researcher Award

Best Academic Researcher Award

Hussam Noor
Taibah University, Saudi Arabia

Hussam Noor
Affiliation Taibah University
Country Saudi Arabia
Scopus ID 57211204364
Documents 13
Citations 11
h-index 2
Subject Area Engineering
Event International PopularScientist Awards
ORCID 0000-0002-4223-9699

Hussam Noor is an academic researcher affiliated with Taibah University, Saudi Arabia, whose supplied research profile is associated with the Engineering subject area. The profile provided for this recognition page records 13 documents, 11 citations, and an h-index of 2 in Scopus. These indicators provide a bibliometric snapshot of research activity and scholarly visibility and should be interpreted in conjunction with publication quality, research contribution, collaboration, and relevance to the research field. [1]

Abstract

The Best Academic Researcher Award profile presents a structured overview of Hussam Noor’s supplied academic and bibliometric information. The researcher is affiliated with Taibah University in Saudi Arabia and is identified under the Engineering subject area. The available profile records 13 documents, 11 citations, and an h-index of 2. [1] The assessment context considers publication activity, scholarly visibility, research relevance, and documented academic contributions while recognizing that bibliometric indicators represent only selected dimensions of research performance.

Keywords

Hussam Noor; Best Academic Researcher Award; Taibah University; Engineering; academic research; scholarly publications; research impact; bibliometrics; Scopus; citations; h-index; International PopularScientist Awards.

Introduction

Academic researcher recognition commonly considers a combination of scholarly productivity, research contribution, visibility, and disciplinary relevance. Bibliometric information such as publication counts, citation counts, and h-index values can provide quantitative context for examining a research profile, although these measures vary substantially between disciplines and publication environments. [2]

Research Profile

The supplied Scopus profile information indicates a research record comprising 13 documents, 11 citations, and an h-index of 2. [1] These values describe the bibliometric record supplied for the researcher and should be understood as profile-level indicators rather than a complete assessment of academic quality.The profile also supplies an ORCID identifier, which provides a persistent researcher identifier intended to distinguish researchers and connect their scholarly activities across systems. [3]

Research Contributions

The supplied publication records cover several research themes, including biomedical materials, therapeutic technologies, laser-based treatment, nanomaterials, and photodynamic approaches. The records demonstrate interdisciplinary subject matter spanning materials science, medicine, dentistry-related applications, dermatology, chemistry, and laser technology. However, the available excerpts do not provide sufficient evidence to establish that every listed publication was authored by Hussam Noor. Accordingly, these records are retained as supplied bibliographic evidence and are not used to infer individual authorship.

Publications

The following bibliographic records were supplied for inclusion in this academic profile. They are reproduced as source records and are not presented as verified publications of Hussam Noor where the supplied contributor information does not establish that connection.“`

    1. Infantile hemangiomas. Current treatment procedures | Infantilní hemangiomas. Současné tělečné protředky.Czech-Slovak Pediatrics, 2017. Journal article.EID: 2-s2.0-85027991512Contributors: Malis, J.; Stara, V.; Blahova, K.; Bučkova, H.; Faberova, R.; Šterba, J.; Klovrzova, S.; Kynčl, M.; Černy, M.; Hrdlička, R. et al.Source: Roman Smucler via Scopus – Elsevier.
    2. Direct and indirect treatment of pain with lasers – Update 2016 | Direct and indirect treatment of pain with lasers – Update 2016.Disease, 2016. Journal article.EID: 2-s2.0-84992323214Contributors: Šmucler, R.; Jenčová, J.Source: Roman Smucler via Scopus – Elsevier.
    3. Large scale preparation of up-converting YF3:YbEr nanocrystals with various sizes by solvothermal syntheses using ionic liquid bmimCl.Journal of Fluorine Chemistry, 2016. Journal article.

Research Impact

The supplied bibliometric profile records 11 citations and an h-index of 2 across 13 documents. [1] Citation counts provide one measurable indication of scholarly visibility, while the h-index combines publication and citation information into a single metric. Such indicators are influenced by discipline, publication age, citation practices, collaboration patterns, and database coverage, and therefore should not be treated as a standalone measure of research quality. [2][4] [7] [8]

Award Suitability

The supplied profile contains several elements relevant to an academic recognition record, including an identifiable institutional affiliation, a Scopus author identifier, publication and citation indicators, an h-index, an Engineering subject classification, and an ORCID identifier. [1] [3]Within the context of the Best Academic Researcher Award, these documented elements can form part of a broader academic review. A complete evaluation should also consider the authenticity and attribution of publications, originality of research, methodological quality, relevance to the discipline, collaboration, scholarly contribution, and evidence of sustained research activity.

Conclusion

Hussam Noor’s supplied academic profile identifies Taibah University, Saudi Arabia, as the institutional affiliation and Engineering as the subject area. The supplied Scopus indicators record 13 documents, 11 citations, and an h-index of 2. [1] The profile also includes an ORCID identifier, providing an additional mechanism for researcher identification. [3]

References

    1. Elsevier. (n.d.). Scopus author details: Hussam Noor, Author ID 57211204364. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=57211204364
    2. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.
      https://doi.org/10.1073/pnas.0507655102
    3. ORCID. (n.d.). ORCID record: 0000-0002-4223-9699.
      https://orcid.org/0000-0002-4223-9699
    4. Hrib, J., Sirc, J., Lesny, P., Hobzova, R., Duskova-Smrckova, M., Michalek, J., & Smucler, R. (2017). Hydrogel tissue expanders for stomatology. Part I. Methacrylate-based polymers. Journal of Materials Science: Materials in Medicine.
      https://doi.org/10.1007/s10856-016-5818-y
    5. Bartůněk, V., Rak, J., Pelánková, B., Junková, J., Mezlíková, M., Král, V., Kuchař, M., Engstová, H., Ježek, P., & Šmucler, R. (2016). Large scale preparation of up-converting YF3:YbEr nanocrystals with various sizes by solvothermal syntheses using ionic liquid bmimCl. Journal of Fluorine Chemistry.
      https://doi.org/10.1016/j.jfluchem.2016.05.015
    6. Lippert, J., Šmucler, R., & Vlk, M. (2013). Fractional carbon dioxide laser improves nodular basal cell carcinoma treatment with photodynamic therapy with methyl 5-aminolevulinate. Dermatologic Surgery.
      https://doi.org/10.1111/dsu.12242

 

Jaydevsinh Zala | Engineering | Best Researcher Award

Best Researcher Award

Jaydevsinh Zala
Parul University, India

Jaydevsinh Zala
Affiliation Parul University
Country India
Documents 2
Subject Area Engineering
Event International Popular Scientist Awards
ORCID 0009-0009-9225-7789

Jaydevsinh Zala is an engineering researcher affiliated with Parul University in India. The research record supplied for this academic recognition profile comprises two documented works addressing applied engineering and technology-oriented problems, including an artificial-intelligence-based smart-city hygiene enforcement system and an electronics prototyping workstation. The available record indicates an interdisciplinary interest in artificial intelligence, computer vision, facial recognition, electronics, and practical technology development. [1] [2]

Abstract

This academic recognition profile examines the research activities of Jaydevsinh Zala in the field of Engineering. The supplied record contains two works. The first, AI-Integrated Spitting Detection System for Smart City Hygiene Enforcement Using YOLOv11 and Facial Recognition, describes an artificial intelligence-oriented approach to smart-city hygiene enforcement using computer vision and facial recognition technologies. The work is identified as unpublished and dated 2 August 2026, with a DOI registered through ResearchGate. [1] The second work, AI Integrated Electronics Prototyping Workstation, is identified as a journal article dated 20 April 2025 and is attributed to Jaydevsinh Zala. [2]

Keywords

Jaydevsinh Zala; Engineering; Artificial Intelligence; Computer Vision; YOLOv11; Facial Recognition; Smart City Technology; Hygiene Enforcement; Electronics Prototyping; Research Innovation.

Introduction

Engineering research increasingly combines computational intelligence with physical and digital systems to address practical problems. Artificial intelligence and computer vision can support automated interpretation of visual information, while electronics prototyping environments can facilitate the development and testing of technology systems. Zala’s available research record reflects these two complementary areas, with one work focused on AI-enabled smart-city hygiene enforcement and another concerned with an integrated electronics prototyping workstation. [1] [2]

Research Profile

Jaydevsinh Zala is affiliated with Parul University and works within the broad subject area of Engineering. The supplied publication record contains two documents. One research work applies YOLOv11 and facial recognition to a proposed smart-city hygiene enforcement application, while the other concerns an AI-integrated electronics prototyping workstation. [1] [2]

Research Contributions

The documented works indicate contributions in two principal areas:

  • Application of artificial intelligence and computer vision to a proposed smart-city hygiene enforcement scenario, incorporating YOLOv11 and facial recognition technologies. [1]
  • Development-oriented work concerning an AI-integrated electronics prototyping workstation, reflecting an interest in engineering experimentation and technology prototyping. [2]

Publications

The first work identifies a specific DOI and combines machine-learning-based object detection with facial recognition for a smart-city application. [1] The second listed work addresses electronics prototyping through an AI-integrated workstation concept. [2]

Research Impact

The available information does not provide verified citation counts, h-index data, downloads, or independent measures of research influence. Therefore, quantitative scholarly impact cannot be established from the supplied record alone. The documented topics nevertheless address practical engineering applications, particularly the use of artificial intelligence and computer vision in smart-city environments and the integration of AI into electronics prototyping. [1] [2]

Award Suitability

The documented research topics are relevant to an engineering-focused academic recognition profile because they involve applied artificial intelligence, computer vision, smart-city technology, and electronics prototyping. The first work addresses an application involving automated detection and recognition, while the second focuses on an engineering workstation for electronics prototyping. [1] [2]

Conclusion

Jaydevsinh Zala’s supplied research record represents an engineering-oriented portfolio involving artificial intelligence, computer vision, smart-city applications, and electronics prototyping. Two documented works form the basis of this profile, including a 2026 work on YOLOv11 and facial recognition for smart-city hygiene enforcement and a 2025 work on an AI-integrated electronics prototyping workstation. [1] [2] Further bibliometric and independent research evidence would be required for a more comprehensive assessment of scholarly impact.

References

  1. Zala, J. (2026). AI-Integrated Spitting Detection System for Smart City Hygiene Enforcement Using YOLOv11 and Facial Recognition. Unpublished journal article.
    https://doi.org/10.13140/RG.2.2.32954.35528
  2. Zala, J. (2025). AI Integrated Electronics Prototyping Workstation. Journal article. Research record supplied for academic recognition profile.
  3. ORCID. (n.d.). ORCID record for Jaydevsinh Zala.
    https://orcid.org/0009-0009-9225-7789
  4. International Popular Scientist Awards. (n.d.). Award Website.
    https://popularscientist.com/

Pavel Krivosheyev | Engineering | Best Researcher Award

Dr. Pavel Krivosheyev | Engineering | Best Researcher Award

Head of the Laboratory A.V. Luikov Heat and Mass Transfer Institute of the National Academy of Sciences of Belarus, Minsk, Republic of Belarus Belarus

Pavel Krivosheyev is a distinguished scientist specializing in ignition, combustion, explosion, and detonation of homogeneous and heterogeneous reactive systems. With over two decades of research experience, he has made significant contributions to the study of gas dynamics and chemical kinetics. Currently, he serves as the Head of the Physical & Chemical Hydrodynamics Laboratory at the A.V. Luikov Heat and Mass Transfer Institute, National Academy of Sciences of Belarus. Additionally, he holds visiting professorships at the University of Science and Technology of China and the Beijing Institute of Technology.

Profile

Scopus

Google Scholar

Orcid

Education 🎓

  • 1992-1994: Lyceum of Belarusian State University
  • 1994-1999: Belarusian State University, Faculty of Physics
  • 2011: Ph.D., A.V. Luikov Heat and Mass Transfer Institute
  • PhD Thesis: “Detonation initiation at combustion of gas mixtures in tubes with porous medium filling and at diffraction of deflagration waves”

Experience 💼

  • 1999-2012: Junior Researcher / Researcher / Senior Researcher at the Physical & Chemical Hydrodynamics Laboratory, Department of Nonequilibrium Processes, A.V. Luikov Heat and Mass Transfer Institute, National Academy of Sciences of Belarus.
  • 2012-Present: Head of the Laboratory, Physical & Chemical Hydrodynamics Laboratory, A.V. Luikov Heat and Mass Transfer Institute, National Academy of Sciences of Belarus.
  • 2024: Visiting Professor, State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, China.
  • 2024: International Visiting Professor (Foreign Expert), State Key Laboratory of Explosion Science and Safety Protection, Beijing Institute of Technology, Beijing, China.

Research Interests 💡

  • Ignition, combustion, explosion, and detonation of gaseous, liquid, and solid fuel/oxidizer systems.
  • Gas dynamics and chemical kinetics.
  • Experimental studies of ultrafast physical-chemical processes.
  • Design and development of advanced experimental setups.
  • Diagnostics and new diagnostic techniques.

Awards & Recognitions 🏆

  • 1994-1995: Scholarship of the International Soros Science Education Program.
  • 2005-2006: Scholarship of the World Federation of Sciences.
  • 2007: Scholarship of the President of the Republic of Belarus for talented scientists.
  • 2011: Best PhD Thesis of the Year.
  • 2021: Grant of the President of the Republic of Belarus for talented scientists.
  • 2025: Grant of the President of the Republic of Belarus for talented scientists.

Publications Top Notes: 📚

Krivosheyev has published extensively in high-impact journals and conference proceedings. Below are selected works:

Krivosheyev, P.N., Penyazkov, O.G., Zhdanok, S.A. “On the propagation mechanism of quasi-detonation in porous media,” Application of Detonation to Propulsion, Torus Press Ltd., 2004, pp. 131-135. Link

Krivosheyev, P.N., Penyazkov, O.G. “Detonation Initiation in Semi-Confined Area,” Proceedings of the 21st Int. Colloquium on Dynamics of Explosions and Reactive Systems, 2007. Link

Krivosheyev, P.N., Penyazkov, O.G. “Nonclassical detonation and deflagration transmissions into half-limited space,” Proceedings of the 22nd Int. Colloquium on Dynamics of Explosions and Reactive Systems, 2009. Link

Krivosheyev, P.N., Penyazkov, O.G., Baranyshyn, Y.A. “DDT in Heptane/Oxygen Mixtures at Low Pressures,” Proceedings of the 24th Int. Colloquium on Dynamics of Explosions and Reactive Systems, 2013. Link

Korytchenko, K.V., Krivosheyev, P.N., Poklonskii, E.V. “Model of the spark discharge initiation of detonation in a mixture of hydrogen with oxygen,” Russian Journal of Physical Chemistry B, 2014. Link

Experimental and numerical investigation of gaseous detonation in a narrow channel with obstacles

Evaluating possibilities of the modern chemical kinetic mechanisms of acetylene oxidation in simulating the non-stationary combustion processes

Theoretical and Experimental Determination of the Rate Constant of the Nonadiabatic Chemiluminescent Reaction H + O + N2 = OH* + N2

H M Arifur Rahman | Engineering | Best Researcher Award

Mr. H M Arifur Rahman | Engineering | Best Researcher Award

Graduate Research Assistant University Of Nebraska-Lincoln United States

H.M. Arifur Rahman is a dedicated researcher specializing in advanced antenna design for modern communication systems. With a strong academic and professional background, he is currently pursuing his Ph.D. in Electrical and Computer Engineering at the University of Nebraska-Lincoln, USA. His contributions span innovative designs in wireless technologies and body-centric communication systems, earning recognition through impactful publications and research initiatives.

Profile

Google Scholar

Education 🎓

  • Doctor of Philosophy (Ph.D.) (Ongoing) – Electrical and Computer Engineering, University of Nebraska-Lincoln (2024–Present).
  • Master of Science (M.S.) – Electrical and Electronic Engineering, North South University, Bangladesh (2018). Thesis: Design and Analysis of a Compact Band Notch UWB Antenna for Body Area Network.
  • Bachelor of Science (B.S.) – Electrical and Electronic Engineering, American International University-Bangladesh (2016). Project: Design and Implementation of a Wall Climbing Robot.

Experience 🏢

  • Graduate Research Assistant (2024–Present), University of Nebraska-Lincoln. Focus: Advanced antenna and multiplexer designs.
  • Research Assistant (2021–2024), North South University. Projects on mmWave and THz antennas for healthcare and 5G communications.
  • Lab Officer (Part-Time) (2023–2024), North South University.
  • Physics & Mathematics Teacher (2019–2021), Radium School and College.
  • Technical Support Engineer (2017–2018), Banglalion Communications Ltd.

Research Interests 🔬

H.M. Arifur Rahman’s research interests include:

  • Miniaturized antenna design for UWB, 5G, mmWave, and THz frequencies.
  • MIMO and array structures for radar systems and wireless power transfer.
  • Body-Centric Wireless Communication (BCWC) and Wireless Body Area Networks (WBAN).
  • Internet of Things (IoT) and robotics applications.

Awards & Recognitions 🏆

  • Nominee for various innovation awards for his pioneering research on antenna systems.
  • Consistently recognized for excellence in academic and research endeavors.

Publications Top Notes: 📚

Novel Compact Design and Investigation of a Super Wideband Millimeter Wave Antenna for Body‐Centric Communications

Design and study of a miniaturized millimeter wave array antenna for wireless body area network

Dual‐Band Self‐Complementary 5G Antenna for Wireless Body Area Network

Design and Analysis of a 5G Wideband Antenna for Wireless Body‐Centric Network

Design and analysis of a compact band notch UWB antenna for body area network

Conformal Design of a 60 GHz Textile Based Self-Complementary Antenna for Wireless Body Area Network

A UWB Antenna for Wireless Body Area Network and its Characteristics Analysis

ABDUL SAMI | Engineering | Best Researcher Award

Mr. ABDUL SAMI | Engineering | Best Researcher Award

Lecturer Numl University Hyderabad Pakistan

Engr. Abdul Sami Shaikh is a seasoned software engineering professional with a diverse portfolio in academia, research, and freelancing. His career is marked by significant contributions to IT education, cutting-edge research, and innovative development practices. Based in Hyderabad, Sindh, Abdul Sami is driven by a passion for leveraging technology to address real-world challenges and enhance learning.

Profile

Orcid

Education 🎓

Abdul Sami Shaikh has a strong academic foundation with a Master of Engineering in Information and Communication Engineering from Harbin Engineering University, China (2013-2016), achieving an impressive 3.77 CGPA. His undergraduate degree in Computer System Engineering from Mehran University of Engineering and Technology, Jamshoro (2005-2009), laid the groundwork for his technical expertise. Earlier, he pursued Pre-Engineering at Govt. Boys Degree College, Qasimabad, Hyderabad, and completed his schooling at the Model School of Sindh University.

Experience 💼

Abdul Sami has an extensive teaching and research background, having served as a lecturer at Isra University, National University of Modern Languages (NUML), and other prestigious institutions. His professional journey includes roles such as Research Associate at Mehran UET, Program Coordinator for the National Freelance Training Program, and editorial assistant for the Mehran UET Research Journal. He also gained valuable industrial experience through internships with organizations like Sui Southern Gas Company and Microsoft.

Research Interests 🔬

His research focuses on machine learning, data visualization, deep learning, and their applications in healthcare and cybersecurity. He has explored innovative solutions in image analysis, mobile app automation for Industry 4.0, and advanced threat detection systems. Abdul Sami also delves into challenges in spatial crowdsourcing and IoT-based systems.

Awards and Recognitions 🏆

While Abdul Sami has not listed specific awards, his academic and professional milestones, coupled with his impactful publications, position him as a strong candidate for recognition in research and innovation.

Publications Top Notes: 📚

Acoustic Propagation and Transmission Loss Analysis in Shallow Water

Automated Classification of Pneumonia from Chest X-Ray Images using EfficientNet-B0

 

Yusuf Alper KAPLAN | Engineering | Best Researcher Award

Prof. Yusuf Alper KAPLAN | Engineering | Best Researcher Award

Prof. Osmaniye Korkut Ata Unv. Turkey

Dr. Yusuf Alper Kaplan is a Professor of Energy Systems Engineering at Osmaniye Korkut Ata University in Turkey. He has a distinguished career in renewable energy, specializing in solar and wind energy modeling, estimation, and system performance. With over two decades of experience, Dr. Kaplan has contributed to advancing energy systems through innovative methodologies and predictive models.

Profile

Google scholar

Education 🎓

  • Bachelor’s in Electrical and Electronics Engineering, Gaziantep University, 2002
  • Master’s in Electrical and Electronics Engineering, Çukurova University, 2008
  • Ph.D. in Electrical and Electronics Engineering, Anadolu University, 2014

Professional Experience 💼

  • Lecturer (2004-2009) at Çukurova University
  • Research Assistant (2010-2014) at Anadolu University
  • Assistant Professor (2014-2018), Associate Professor (2018-2023), and Professor (2023-present) at Osmaniye Korkut Ata University
  • Head of Department of Energy Systems Engineering (2019-2020)
  • Director of the Continuing Education Centre (2020-present)

Research Interests 🔬

Dr. Kaplan’s research focuses on renewable energy, especially solar and wind energy systems. His work involves developing statistical and computational models for solar radiation forecasting, wind energy assessment, and performance optimization of renewable energy sources in varying environmental conditions.

Awards and Recognitions 🏆

Dr. Kaplan has been honored for his contributions to renewable energy and academic excellence. His achievements include national and international recognitions for advancements in energy system performance modeling and contributions to sustainable energy solutions.

Publications Top Notes: 📚

Kaplan, Y. A. (2024). Forecasting of global solar radiation: A statistical approach using simulated annealing algorithm. Engineering Applications of Artificial Intelligence, 136, 109034. (Cited by 15)

Kaplan, A. G., & Kaplan, Y. A. (2024). Using of the Weibull distribution in developing global solar radiation forecasting models. Environmental Progress & Sustainable Energy. (Cited by 10)

Kaplan, Y. A. (2023). Development of backpropagation algorithm for estimating solar radiation: A case study in Turkey. Revue Roumaine des Sciences Techniques, 68(3), 313-316. (Cited by 8)

Niyi Babatunde Ishola | Chemical Engineering| Best Researcher Award

Dr. Niyi Babatunde Ishola | Chemical Engineering | Best Researcher Award

Borealis Polymer Oy | Finland

Professional Profile

Early Academic Pursuits

Niyi Babatunde Ishola commenced his academic journey with a Bachelor of Technology in Chemical Engineering from Ladoke Akintola University of Technology (LAUTECH), Ogbomoso, Nigeria, in 2011. Building upon this foundation, he pursued a Master of Science in Chemical Engineering at Obafemi Awolowo University (OAU), Ife, Nigeria, completing it in 2016. Subsequently, he ventured into doctoral studies at Universite de Lyon1, Lyon, France, achieving a Ph.D. in Process Engineering in 2022.

Professional Endeavors

His professional trajectory encompasses diverse roles across international borders. Notably, at Borealis Polymers Oy, Finland, he contributed significantly to research and development, focusing on olefin polymerization catalysts, bench-scale polymerization behavior, and catalyst performance evaluation. Concurrently, as a Doctoral Researcher at CP2M Laboratory, CPE, Lyon, France, he delved into extensive research involving gas phase ethylene polymerization, catalyst synthesis, sorption experiments, and high-throughput reactor studies. Furthermore, Ishola has served as a Graduate Teaching Assistant at the Chemical Engineering Department of OAU, Nigeria. In this capacity, he mentored students, assisted in tutorials, and explored biodiesel synthesis and catalyst production methodologies.

Contributions and Research Focus

Hisresearch contributions are prolific and multidimensional, spanning numerous publications across esteemed journals. His research primarily revolves around process engineering, polymerization kinetics, catalyst development, biodiesel synthesis, sorption experiments, and modeling techniques. Notably, he has investigated the application of machine learning, genetic neuro-computing models, and artificial intelligence for insights into various industrial processes such as membrane performance, biodiesel production, and pollutant degradation. His expertise encompasses diverse methodologies, including Design of Experiment, Response Surface Methodology, Neural Networks, and Adaptive Neuro-Fuzzy Inference Systems, applied in optimizing and modeling chemical processes.

Accolades and Recognition

Ishola's dedication and scholarly prowess have earned him prestigious scholarships, including the Petroleum Technology Development Fund (Nigeria) scholarship in collaboration with Ministere Affaires Estrangeres (France), along with the NRF-TWAS African Renaissance Doctoral Scholarship at the University of Pretoria, South Africa.

Impact and Influence

Through his extensive research and scholarly publications, Niyi Babatunde Ishola has significantly contributed to the field of chemical engineering, particularly in polymerization kinetics, catalyst development, and alternative energy sources such as biodiesel production. His utilization of advanced modeling techniques and innovative methodologies has widened the horizons of process engineering and sustainability studies.

Legacy and Future Contributions

As a researcher and educator, Ishola leaves a legacy of rigorous scientific inquiry, innovative problem-solving, and multidisciplinary exploration. His commitment to advancing the frontiers of chemical engineering and sustainability science is evident through his prolific publications and ongoing contributions to academia. His future endeavors are anticipated to continue shaping the field through cutting-edge research, mentorship, and scholarly contributions.

 

Citations

A total of  103 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations            516
  • h-index               8
  • i10-index            8

Notable Publications 

E Betiku, VO Odude, NB Ishola, A Bamimore, AS Osunleke, AA Okeleye
(135 ) 2016
Development of a Novel Mesoporous Biocatalyst Derived from Kola Nut Pod Husk for Conversion of Kariya Seed Oil to Methyl Esters: A Case of Synthesis …
E Betiku, AA Okeleye, NB Ishola, AS Osunleke, TV Ojumu
( 81) 2019Application of agricultural waste-based catalysts to transesterification of esterified palm kernel oil into biodiesel: A case of banana fruit peel versus cocoa pod husk
VO Odude, AJ Adesina, OO Oyetunde, OO Adeyemi, NB Ishola, AO Etim, ...
( 75) 2019

Performance evaluation of adaptive neuro-fuzzy inference system, artificial neural network and response surface methodology in modeling biodiesel synthesis from palm kernel oil …
E Betiku, AS Osunleke, VO Odude, A Bamimore, B Oladipo, AA Okeleye, ...
( 56 ) 2021

Process modeling and optimization of sorrel biodiesel synthesis using barium hydroxide as a base heterogeneous catalyst: appraisal of response surface methodology, neural …
NB Ishola, AA Okeleye, AS Osunleke, E Betiku
( 43 ) 2019

Optimization of sorrel oil biodiesel production by base heterogeneous catalyst from kola nut pod husk: Neural intelligence‐genetic algorithm versus neuro‐fuzzy‐genetic algorithm
E Betiku, NB Ishola
( 32 ) 2020

Modelling of synthesis of waste cooking oil methyl esters by artificial neural network and response surface methodology
AR Soji-Adekunle, AA Asere, NB Ishola, IM Oloko-Oba, E Betiku
( 30 ) 2019

Adaptive neuro-fuzzy inference system-genetic algorithm vs. response surface methodology: A case of optimization of ferric sulfate-catalyzed esterification of palm kernel oil
NB Ishola, OO Adeyemi, AJ Adesina, VO Odude, OO Oyetunde, ...
( 29 ) 2017

Crude rubber seed oil esterification using a solid catalyst: Optimization by hybrid adaptive neuro-fuzzy inference system and response surface methodology
CF Jisieike, NB Ishola, LM Latinwo, E Betiku
( 7 ) 2023

AS Yusuff, NB Ishola, AO Gbadamosi, KA Thompson-Yusuff
( 7 ) 2022