Lawrence Adetunde | Environmental Science | Excellence in Research Award

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Dr. Lawrence Adetunde | Environmental Science | Excellence in Research Award

Senior Lecturer | C.K.Tedam University of Technology and Applied Sciences | Ghana

Dr. Lawrence Adelani Adetunde is a Senior Lecturer in the Department of Applied Biology at C. K. Tedam University of Technology and Applied Sciences, Ghana, and holds a Ph.D. in Microbiology from Landmark University (2025). His educational background combines rigorous scientific training and a deep commitment to addressing environmental and public health challenges through microbiological innovation. Over the years, Dr. Adetunde has developed extensive expertise in environmental and industrial microbiology, water quality monitoring, and antimicrobial resistance studies, focusing on microbial characterization and biotechnological applications for sustainable ecosystems. Professionally, he has served as a dedicated educator, mentor, and research supervisor, guiding numerous undergraduate and postgraduate projects and contributing to the academic and personal development of students. His leadership extends beyond teaching—he is the departmental postgraduate coordinator and an active member of several academic and institutional committees, promoting quality research and curriculum advancement. Dr. Adetunde’s research interests encompass microbial water quality assessment, biofilm formation, antimicrobial activity testing, and the application of beneficial microorganisms in bioremediation and industrial processes. His research skills include microbial isolation and identification, molecular and biochemical analysis, and advanced laboratory management techniques. With more than 30 peer-reviewed publications in reputable Scopus-indexed journals such as Environmental Advances and the African Journal of Microbiology Research, he has made significant contributions to applied microbiological science. Dr. Adetunde has received recognition for his dedication to teaching, scientific innovation, and community engagement. His ongoing collaborations with international researchers continue to enhance the global relevance of his work in environmental and industrial microbiology. His scholarly impact is further reflected in 15 citations , 5 documents, and an h-index of 2.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Adetunde, L. A., & Glover, R. L. K. (2010). Bacteriological quality of borehole water used by students’ of University for Development Studies, Navrongo campus in Upper-East Region of Ghana. Current Research Journal of Biological Sciences, 2(6), 361–364. (Cited 78 times)

  2. Adetunde, L. A., Glover, R. L. K., & Oguntola, G. O. (2011). Assessment of the ground water quality in Ogbomoso township of Oyo State of Nigeria. (Cited 53 times)

  3. Adetunde, L. A., Glover, R. L. K., Oliver, A. W., & Samuel, T. (2011). Source and distribution of microbial contamination on beef and chevon in Navrongo, Kassena Nankana district of Upper East Region of Ghana. Journal of Animal Production Advances, 1(1), 21–28. (Cited 26 times)

  4. Adetunde, L. A., & Glover, R. L. K. (2011). Evaluation of bacteriological quality of drinking water used by selected secondary schools in Navrongo in Kassena-Nankana district of Upper East Region of Ghana. Prime Journal of Microbiology Research, 1, 47–51. (Cited 18 times)

  5. Adetunde, L., Sackey, I., Dombiri, D., & Mariama, Z. (2015). Potential links between irrigation water microbiological quality and fresh vegetables quality in Upper East Region of Ghana subsistence farming. Annual Research & Review in Biology, 6(6), 347–354. (Cited 15 times)

Feng Mao | Cognitive Science | Best Researcher Award

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Assist. Prof. Dr. Feng Mao | Cognitive Science | Best Researcher Award

Associate Professor | Shanghai University of International Business and Economics | China

Assist. Prof. Dr. Feng Mao is a distinguished Associate Professor and Senior Translator at Shanghai University of International Business and Economics with 28 years of higher education experience, specializing in country and area studies, translation studies, and foreign language education. He is currently pursuing a Ph.D. at Shanghai International Studies University (since 2022) and serves as a Master’s supervisor for MA in Linguistics and MTI programs. Over his career, he has led 11 research projects, including a national-level Social Science Fund project, and collaborated with international scholars from Singapore, Canada, the UK, and Germany, reflecting his strong global research network. His professional experience includes mentoring MA students, peer reviewing for SSCI and AHCI journals, editorial committee service, and contributions to national professional assessments, including CATTI examination grading. His research interests focus on translation and interpreting studies, foreign language education and policy, cross-cultural communication, applied linguistics, audiovisual translation, and country and area studies. MAO Feng has developed advanced research skills in big data analysis for textbook and material compilation, literary analysis, audiovisual translation methods, and educational program evaluation, supporting both theoretical and applied projects. He has authored 64 academic publications, including 20 SSCI/AHCI journal papers with 5 in Q1 journals, and published 5 academic monographs and translations totaling over 2 million words, alongside textbooks and review articles that serve thousands of students. He has also contributed to industry and government consultancy projects such as cultural brand promotion and copyright export research. His awards and honors include national-level recognition for professional degree assessment and leadership roles within the China Association for Educational Linguistics and the Translators Association of China. Overall, MAO Feng’s extensive research, teaching, publications, and international collaborations highlight his exceptional academic leadership and ongoing potential to advance translation studies and foreign language education globally. 7 Citations, 8 Documents, h-index 2.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

Mao, F., & Yang, X. (2024). Literary therapy based on positive psychology: Impact on college students’ happiness. Journal of Poetry Therapy, 37(1), 16–34. https://doi.org/[insert DOI] (Citations: 5)

Mao, F., & Liu, S. (2024). Book review: Networked feminism: How digital media makers transformed gender justice movements (R. Clark-Parsons, California, University of California Press, 2022). Feminist Media Studies, 24(2), 404–406. (Citations: 3)

Feng, M., Wenhui, L., Xinle, Y., & Biyu, W. (2022). Romantic narrative in the film The Battle at Lake Changjin. International Journal of English and Comparative Literary Studies, 3(1), 19–27. (Citations: 3)

Feng, M., Quan, L., & Wu, B. (2021). A review on the compilation of college English textbooks in China based on big data. Sino-US English Teaching, 18(3), 60–65. (Citations: 3)

Feng, M., Quan, L., & Biyu, W. (2021). Exploration of the compilation of English learning materials for Chinese college students based on big data under the guidance of complex dynamic theory. International Journal of Linguistics, Literature and Translation, 4(3), 22–32. (Citations: 2)

Sharifah Emilia Tuan Sharif | Environmental Science | Best Researcher Award

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Assoc. Prof. Dr. Sharifah Emilia Tuan Sharif | Environmental Science | Best Researcher Award

Pathologist | Universiti Sains Malaysia | Malaysia

Assoc. Prof. Dr. Sharifah Emilia Tuan Sharif is a distinguished Associate Professor and senior consultant anatomic pathologist at Universiti Sains Malaysia (USM), recognized for her subspecialty expertise in bone and soft tissue pathology and her contributions to clinical diagnostics, translational research, and innovative medical education. She earned her MBBS in 2000 and Master of Pathology (Anatomic Pathology) in 2005 from USM, establishing a strong foundation for her academic and clinical career. Professionally, she serves as Chairperson of the Pathology Specialty Committee, Director of SPICES (Interactive Gallery for Medical Sciences), and Laboratory-based Clinical Master Programme Coordinator, where she leads curriculum development, mentoring, and national quality assurance initiatives. Her research interests include biomarker discovery in liposarcoma (CDK4/MDM2), prognostic markers in colorectal adenoma and carcinoma, environmentally sustainable medical waste disposal, and the integration of VR/AR in pathology education. She has led multiple national research projects, including the KUBOWrapper initiative for deep-soil burial of medical waste, and developed award-winning educational platforms such as SPICESPath 360 and VI-SPICES. Her research skills encompass histopathology, immunohistochemistry, FISH analysis, protein profiling, translational oncology, biomaterials characterization, and digital/immersive medical education technologies. Dr. Sharifah Emilia has published over 80 papers in indexed journals, with significant contributions in Q1/Q2 journals and international conferences, demonstrating both clinical relevance and translational impact. Her work has earned innovation awards (AKRI 2023 & 2024), recognition in the Malaysia Book of Records for SPICESPath 360, and multiple research grants, reflecting her commitment to research excellence, leadership, and community engagement. She actively mentors students, collaborates with the Ministry of Health, and promotes STEM education through SPICES4U Jr. and SPICES4STEM programs. With her outstanding record of research, innovation, and societal impact, she exemplifies the qualities of a leading researcher in medical sciences. 645 Citations, 45 Documents, h-index 8.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Ibrahim, Y. S., Tuan Anuar, S., Azmi, A. A., Wan Mohd Khalik, W. M. A., Lehata, S., … (2021). Detection of microplastics in human colectomy specimens. JGH Open, 5(1), 116–121. Citations: 541

  2. Ch’ng, E. S., Tuan Sharif, S. E., & Jaafar, H. (2013). In human invasive breast ductal carcinoma, tumor stromal macrophages and tumor nest macrophages have distinct relationships with clinicopathological parameters and tumor …. Virchows Archiv, 462(3), 257–267. Citations: 54

  3. Ibrahim, Y. S., Tuan Anuar, S., Azmi, A. A., Wan Mohd Khalik, W. M. A., Lehata, S., … (2021). Detection of microplastics in human colectomy specimens. JGH Open, 5, 116–121. Citations: 43

  4. Pasupati, T. M., Yothasamutr, K., Wah, M. J., Sherif, S. E. T., & Palayan, K. (2008). A study of parasitic infections in the luminal contents and tissue sections of appendix specimens. Tropical Biomedicine, 25(2), 166–172. Citations: 38

  5. Ch’ng, E. S., Jaafar, H., & Tuan Sharif, S. E. (2011). Breast tumor angiogenesis and tumor-associated macrophages: Histopathologist’s perspective. Pathology Research International, 2011, 572706. Citations: 36

Alexander Kryukov | Astronomy and Space | Best Researcher Award

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Dr. Alexander Kryukov | Astronomy and Space | Best Researcher Award

Head of Laboratory | Lomonosov Moscow State University | Russia

Dr. Alexander Kryukov is a distinguished physicist and computational scientist with an extensive career in high-energy particle physics, distributed computing, and machine learning applications in cosmic and gamma-ray astronomy. He graduated from Lomonosov Moscow State University in 1977, earning a specialization in Physics with a focus on High Energy Physics, and completed his Ph.D. in 1988 on the design and implementation of integrated dialogue systems for analytical computing software. Since 1980, he has progressed through roles from Junior Researcher to Head of the Laboratory at the Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, demonstrating exemplary leadership and research management. Dr. Kryukov’s professional experience includes leading large-scale national and international projects, including the Russian national grid network for the Large Hadron Collider (CERN), CERN-INTAS projects, and multiple RSF-funded initiatives on machine learning for astrophysical data analysis. His research interests encompass computational modeling of elementary particle interactions, computer algebra methods, cloud and grid computing, and applications of artificial intelligence in physics. He has contributed to major international collaborations such as CMS (CERN), Hyper-Kamiokande (Japan), TAIGA (Russia), and JUNO (China), and his publication record includes over 200 documents in reputed journals such as Physics Letters B, Journal of Instrumentation, and Computer Physics Communications. Dr. Kryukov’s work has had significant scientific and societal impact through mentorship, leadership in international collaborations, and the development of advanced computational infrastructures. His professional skills include Fortran, C/C++, Python, Mathematica, Maple, REDUCE, Linux, distributed computing, cloud computing, and machine learning frameworks. Recognized for his excellence, he has been cited extensively, reflecting his influential contributions to physics and computational science. With a sustained record of innovation, leadership, and mentorship, Dr. Kryukov continues to shape the future of high-energy physics and computational research. 8,089 Citations, 200 Documents, 17 h-index.

Profiles: Scopus | ORCID | ResearchGate

Featured Publications

    1. Prosin, V., Astapov, I., Bezyazeekov, P., Bonvech, E., Borodin, A., Bulan, A., … Yashin, I. (2023, September 29). Primary cosmic ray energy spectrum and mean mass composition using data from the TAIGA astrophysical complex. SciPost Physics Proceedings, 13(037). https://doi.org/10.21468/SciPostPhysProc.13.037

    2. Ivanova, A. L., Astapov, I., Bezyazeekov, P., Bonvech, E., Borodin, A., Budnev, N., … (2023, September 28). The Tunka-Grande scintillation array: Current results. SciPost Physics Proceedings, 13(011). https://doi.org/10.21468/SciPostPhysProc.13.011

    3. Budnev, N. M., Chernov, D. V., Gress, O. A., Gress, T. I., Korosteleva, E. E., Kuzmichev, L. A., … Prosin, V. V. (2021). The primary cosmic-ray energy spectrum measured with the Tunka-133 array. Astroparticle Physics, 117, 102406. https://doi.org/10.1016/j.astropartphys.2019.102406

    4. Ivanova, A. L., Astapov, I., Bezyazeekov, P., Bonvech, E., Borodin, A., Budnev, N., … (2022). The Tunka-Grande scintillation array: Current results. arXiv. https://arxiv.org/abs/2207.09680 arXiv+1

    5. Prosin, V., Astapov, I., Bezyazeekov, P., & collaborators. (2021). Energy spectrum and mass composition of cosmic rays from the data of the astrophysical complex TAIGA. Physics of Atomic Nuclei.

Osiris Guirguis | Materials Science | Best Researcher Award

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Prof. Dr. Osiris Guirguis | Materials Science | Best Researcher Award

Professor Emeritus | Faculty of Sciecne – Cairo University | Egypt

Prof. Osiris W. Guirguis, Professor Emeritus of Experimental Biophysics at Cairo University, is a distinguished physicist renowned for his pioneering work in radiation biophysics, biomaterials, and polymer physics. He earned his B.Sc. in Physics (1976), M.Sc. in Solid State Physics (1980), and Ph.D. in Experimental Radiation Biophysics (1987) from Cairo University, Egypt. Over his prolific academic career, he has held positions ranging from Demonstrator and Assistant Lecturer to Professor and Head of the Biophysics Department, leading cutting-edge research and supervising over 40 M.Sc. and Ph.D. theses. His professional experience encompasses international collaborations, organizing major biophysics conferences, and serving on numerous editorial boards and peer-review committees, reflecting his leadership in the global scientific community. Prof. Guirguis’s research interests focus on understanding radiation effects on polymers and biopolymers for medical applications, dosimetry, and biomaterials development, integrating experimental biophysics with applied polymer science. His technical expertise spans polymer characterization, radiation dosimetry, biomaterial analysis, and biophysical instrumentation, enabling high-impact experimental studies. He has been recognized internationally through nominations for prestigious awards including the Balzan Prize, Heineken Prize, TWAS Prize, and Kuwait Prize, and his scientific contributions have been consistently cited in high-impact journals, highlighting both research excellence and mentorship quality. In conclusion, Prof. Osiris W. Guirguis exemplifies scientific innovation, academic leadership, and global research influence, making him a highly deserving candidate for international recognition and awards in biophysics and biomaterials research. Metrics: 779 Citations by 705 documents, 48 Documents, h-index 19 (View h-index button is disabled in preview mode).

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Guirguis, O. W., & Moselhey, M. T. H. (2011). Thermal and structural studies of poly(vinyl alcohol) and hydroxypropyl cellulose blends. Scientific Research Publishing. (Citations: 435)

  2. Guirguis, O. W., & Moselhey, M. T. H. (2011). Optical study of poly(vinyl alcohol)/hydroxypropyl methylcellulose blends. Journal of Materials Science, 46(17), 5775–5789. https://doi.org/10.1007/s10853-011-5555-5 (Citations: 91)

  3. Hussein, E. M., Desoky, W. M., Hanafy, M. F., & Guirguis, O. W. (2021). Effect of TiO2 nanoparticles on the structural configurations and thermal, mechanical, and optical properties of chitosan/TiO2 nanoparticle composites. Journal of Physics and Chemistry of Solids, 152, 109983. https://doi.org/10.1016/j.jpcs.2021.109983 (Citations: 83)

  4. El-Zaher, N. A., Melegy, M. S., & Guirguis, O. W. (2014). Thermal and structural analyses of PMMA/TiO2 nanoparticles composites. Natural Science. (Citations: 76)

  5. El-Falaky, G. E., Guirguis, O. W., & Abd El-Aal, N. S. (2012). AC conductivity and relaxation dynamics in zinc–borate glasses. Progress in Natural Science: Materials International, 22(2), 86–93. (Citations: 59)

Ramin Jaberi | Medical Devices | Best Researcher Award

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Prof. Dr. Ramin Jaberi | Medical Devices | Best Researcher Award 

Professor | Tehran University of Medical Sciences | Iran

Dr. Ramin Jaberi is a distinguished Medical Physicist specializing in Brachytherapy, Dosimetry, and Monte Carlo Simulation within the field of Radiation Oncology. He earned his Ph.D. in Medical Sciences (2013) from Amsterdam University of Applied Sciences, Netherlands, where he developed a strong foundation in radiation treatment modeling and applied medical physics. Currently serving as a Brachytherapy Physicist at Tehran University of Medical Sciences, Dr. Jaberi brings over two decades of clinical and research experience, contributing extensively to improving cancer radiotherapy accuracy and patient safety. His professional experience includes collaborative projects with prestigious institutions such as the University of Surrey (UK) and participation in IAEA- and ESTRO-supported research initiatives, focusing on optimizing radiation dose distribution and precision therapy. His research interests encompass radiation dose optimization, imaging-based treatment planning, Monte Carlo simulation in radiation transport, and advanced brachytherapy source characterization. Dr. Jaberi’s research skills include expertise in computational modeling, data analysis, radiotherapy system calibration, and experimental dosimetry validation, making him a valuable contributor to the advancement of applied radiation sciences. He has published extensively in Scopus- and IEEE-indexed journals, including numerous Q1-ranked articles addressing clinical and computational aspects of brachytherapy physics. His outstanding academic and clinical contributions have earned him recognition from international medical physics societies and participation in scientific committees and training programs that promote safe radiotherapy practices. A dedicated educator and mentor, he actively supports young researchers in developing computational and analytical approaches to medical physics problems. Dr. Jaberi’s work bridges innovation and clinical application, reflecting a lifelong commitment to enhancing the effectiveness of cancer treatment through research-driven radiotherapy advancements. His consistent scholarly output underscores his impact in biomedical physics, with 385 citations from 337 documents, 56 published papers, and an h-index of 11.

Featured Publications

  1. Naseripour, M., Jaberi, R., Sedaghat, A., Azma, Z., Nojomi, M., Falavarjani, K. G., … (2016). Ruthenium-106 brachytherapy for thick uveal melanoma: Reappraisal of apex and base dose radiation and dose rate. Journal of Contemporary Brachytherapy, 8(1), 66–73.
    Citations: 63

  2. Kalaghchi, B., Esmati, E., Ghalehtaki, R., Gomar, M., Jaberi, R., Gholami, S., … (2018). High-dose-rate brachytherapy in treatment of non-melanoma skin cancer of head and neck region: Preliminary results of a prospective single institution study. Journal of Contemporary Brachytherapy, 10(2), 115–122.
    Citations: 35

  3. Naseripour, M., Maleki, A., Astaraki, A., Sedaghat, A., Jaberi, R., Lee, S., Azma, Z., … (2018). Ruthenium-106 brachytherapy in the treatment of circumscribed choroidal hemangioma. Retina, 38(5), 1024–1030.
    Citations: 32

  4. Allahverdi, M., Sarkhosh, M., Aghili, M., Jaberi, R., Adelnia, A., & Geraily, G. (2012). Evaluation of treatment planning system of brachytherapy according to dose to the rectum delivered. Radiation Protection Dosimetry, 150(3), 312–315.
    Citations: 28

  5. Siavashpour, Z., Aghamiri, M. R., Jaberi, R., Manshadi, H. R. D., & Ghaderi, R. (2016). Optimum organ volume ranges for organs at risk dose in cervical cancer intracavitary brachytherapy. Journal of Contemporary Brachytherapy, 8(2), 135–142.
    Citations: 27

Shoubhik Chakraborty | Biomedical Sciences | Best Researcher Award

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Dr. Shoubhik Chakraborty | Biomedical Sciences | Best Researcher Award

Pediatric Optometrist | Kalinga Institute of Medical Sciences | India

Mr. Shoubhik Chakraborty is a dedicated Clinical Optometrist specializing in Pediatric Optometry, Cerebral Visual Impairment (CVI), Binocular Vision, Neuro-Optometry, and Behavioral Optometry. He completed his Bachelor’s degree in Clinical Optometry and Vision Science (2017–2021) from NSHM College of Management and Technology, MAKAUT University, Durgapur, followed by a Fellowship in Pediatric Optometry, Binocular Vision, and Cerebral Visual Impairment (2021–2023) at Narayana Nethralaya, Bangalore. His academic foundation was built at Karaiya High School and Sagardighi Thermal Power School, affiliated with WBBSE and WBCHSE respectively. Professionally, Mr. Chakraborty began his clinical training at MGM Eye Institute, Raipur, where he gained hands-on experience in hospital-based vision care. He later worked as a Cerebral Visual Impairment Specialist at AIIMS, Jodhpur, demonstrating excellence in managing pediatric and neuro-optometric cases, and is currently serving as a Pediatric Optometrist at KIMS Hospital, Bhubaneswar, where he continues to advance patient outcomes through customized vision therapy and diagnostic precision. His research interests encompass neuro-visual rehabilitation, visual neuroplasticity, binocular dysfunctions, amblyopia management, and pediatric refractive errors. He has developed strong research skills in clinical data interpretation, vision assessment methodologies, and evidence-based optometric intervention design. Mr. Chakraborty has contributed scholarly papers, including publications in Optometry and Visual Performance, and presented his findings at prestigious forums such as the Asia Pacific Optometry Summit (2018), Bengal Optometry Conference (2020), and Karnataka Optometry Conference (2022). Recognized for his leadership, teamwork, and clinical innovation, he exemplifies a balance of academic rigor and compassionate care. His achievements reflect a commitment to advancing pediatric visual science through both clinical excellence and research innovation. With his growing expertise, professional dedication, and vision for future advancements, Mr. Shoubhik Chakraborty is poised to emerge as a leading figure in neuro-visual and pediatric optometry research and practice in India and beyond.

Profiles: Google Scholar | ORCID  | ResearchGate

Featured Publications

  1. Chakraborty, S., Sarbajna, P., Vinekar, A., & Shetty, B. (2024). Outcomes of vision therapy among children with cerebral visual impairment: A retrospective study. Optometry and Visual Performance, 12 (1).

  2. Chakraborty, S., & Parida, S. (2025). Effect of vision therapy on cerebral visual impairment: Insights from three pediatric cases. Advances in Ophthalmology and Visual System (AOVS), 15 (2).

  3. Chakraborty, S. D., & Hajira, R. (2025). Recovering vision and binocularity in a presbyopic patient with amblyopia. Vision Development and Rehabilitation (VDR), 11 (1), 48.

  4. Chakraborty, S., Parida, S., Mohanty, S. K., Das, M., Dash, S., & Mohanty, S. (2025). Prevalence of accommodative insufficiency in children with normal accommodative-convergence/accommodation ratio and its association with refractive error: A cross-sectional study. Cureus, 17 (2).

  5. Chakraborty, S., Parida, S., & Mohanty, S. K. (2025). Effect of vision therapy on cerebral visual impairment: Insights from three pediatric cases. Advances in Ophthalmology and Visual System, 15 (2), 82–85.

Ahmed Amin | Robotics and Automation | Best Researcher Award

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Dr. Ahmed Amin | Robotics and Automation | Best Researcher Award

Robot to clean greenhouse roofs | College of Engineering, Nanjing Agricultural University | Egypt 

Dr. Ahmed Amin Mohamed Taie is an accomplished researcher in agricultural engineering with a strong focus on agricultural robotics, solar energy applications, and greenhouse technologies. He serves as an Assistant Researcher at the Agricultural Engineering Research Institute (AEnRI), Agricultural Research Center (ARC), Giza, Egypt, where he has worked since 2014. Dr. Taie is currently completing his Ph.D. in Agricultural Engineering (June 2025) at the College of Engineering, Nanjing Agricultural University, China, under the supervision of Prof. Wang Xiaochan through a CSC scholarship. His dissertation, titled “Design and Experiment of a Robot for Cleaning Greenhouse Roofs,” exemplifies his commitment to developing innovative technologies that enhance agricultural productivity and sustainability. He also holds a Master’s degree in Agricultural Mechanization (2019) from Ain Shams University, Egypt, a Diploma in Automotive & Tractors Engineering (2018) from Helwan University, and a B.Sc. in Agricultural Mechanization (2012) from Al-Azhar University, Egypt. His research interests include agricultural robotics, machine vision, solar energy integration, greenhouse automation, agricultural mechanization, and climate change mitigation. Dr. Taie is highly skilled in CAD design (SOLIDWORKS, ANSYS), MATLAB, scientific research writing, and data analysis. He has published several impactful papers in high-quality, Scopus-indexed and IEEE-listed journals such as Journal of Field Robotics, Heliyon, Results in Engineering, and International Journal of Energy Research. His awards and honors include the 2024 Nomination Award for Scientific Research and Innovation Pioneers, Award of Excellence in the “Shen Hao Cup” Graduate Robot Design Competition, and First Prize at the Cairo Innovates Conference by the Academy of Scientific Research & Technology, Egypt. His dedication to advancing agri-tech innovation, mentorship, and sustainability positions him as an emerging leader in the field. 58 Citations | 7 Documents | h-index: 5

Profiles: Google Scholar | Scopus | ORCID  | ResearchGate

Featured Publications

Amin, A., Wang, X., Alroichdi, A., & Ibrahim, A. (2023). Designing and manufacturing a robot for dry-cleaning PV solar panels. International Journal of Energy Research, 2023. Cited by 38.

Amin, A., Wang, X., Guoxiang, S., Shi, Y., Ndumiaassan, J. N., & Okasha, M. (2024). Design and experimentation of a solar-powered robot for cleaning the greenhouse roofs. Results in Engineering, 102602. Cited by 12.

Amin, A., Wang, X., Zhang, Y., Tianhua, L., Chen, Y., Zheng, J., Shi, Y., & Abdelhamid, M. A. (2023). A comprehensive review of applications of robotics and artificial intelligence in agricultural operations. Studies in Informatics and Control, 32(4), 59–70. Cited by 9.

Chen, Y., Wang, X., Zhang, X., Xu, X., Huang, X., Wang, D., & Amin, A. (2024). Spectral-based estimation of chlorophyll content and determination of background interference mechanisms in low-coverage rice. Computers and Electronics in Agriculture, 226, 109442. Cited by 5.

Yang, Z., Amin, A., Zhang, Y., Wang, X., Chen, G., & Abdelhamid, M. A. (2023). Design of a tomato sorting device based on the multisine-FSR composite measurement. Agronomy, 13(7), 1778. Cited by 5.

Negin Maroufi | Public Health | Best Researcher Award

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Ms. Negin Maroufi | Public Health | Best Researcher Award

University of Otago | New Zealand

Ms. Negin Maroufi is a highly motivated Ph.D. candidate in Public Health at the University of Otago, Wellington (2023–present), specializing in the application of machine learning and multi-source surveillance data to predict seasonal influenza patterns in New Zealand to support improved prevention and health service management. She holds an M.Sc. in Computer Engineering (Software) from Islamic Azad University, Neyshabur, Iran (2018), where her thesis focused on designing approximate compressor circuits using Quantum-dot Cellular Automata, and a B.Sc. in Computer Engineering (Hardware) from Ferdowsi University of Mashhad, Iran (2013), where she developed character recognition systems via tablet digitizers. Her professional experience includes serving as Deputy of Research and Technology at Neyshabour University of Medical Sciences (2021–2023), coordinating IT infrastructure, database management, and epidemiological data analysis, and contributing to the Neyshabur Longitudinal Study on Ageing (NeLSA) from 2017–2021, where she designed databases, developed web interfaces, performed statistical analyses, and assisted in COVID-19 surveillance reporting. She has also taught English, programming, and IT courses in various institutions, demonstrating strong mentorship and teaching capabilities. Her research interests lie at the intersection of digital epidemiology, public health informatics, machine learning, and predictive modeling for infectious disease surveillance. She possesses advanced research skills in C/C#/ASP.NET programming, Python, R, STATA, SQL database design, data cleaning, machine learning, and biomedical data analysis, and holds certifications in Good Clinical Practice, biomedical research ethics, and data science. Her work has been published in reputable journals such as the Middle East Journal of Digestive Diseases and the International Journal of Epidemiology, and she has contributed to national COVID-19 epidemiology reports. Negin has received the University of Otago Doctoral Scholarship, maintained top grades throughout her academic career, and earned awards in mathematics and programming competitions. Her combined expertise, research experience, and leadership abilities position her as a promising emerging scholar in public health and digital epidemiology. 27 Citations by 27 documents, 3 Documents, h-index 1.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

  1. Aminisani, N., Azimi-Nezhad, M., Shamshirgaran, S. M., Mirhafez, S. R., Borji, A., Poustchi, H., Sezavar, S. H., Ansarin, K., Kolahi, S., Javadpor, A., Rezaei, A., Hooshmand, E., Maroufi, N., Tabaei, S., Eghtesad, S., Hyde, M., Kenny, R. A., Raina, P., Stephens, C., Malekzadeh, R. (2022). Cohort profile: The IRanian Longitudinal Study on Ageing (IRLSA): The first comprehensive study on ageing in Iran. International Journal of Epidemiology, 51(4), e177–e188. Citations: 37

  2. Maroufi, N., & Bahrepour, D. (2018). A novel three-input approximate XOR gate design based on quantum-dot cellular automata. Journal of Computational Electronics, 17(2), 866–879. Citations: 7

  3. Bahrepour, D., & Maroufi, N. (2018). A 2-bit full comparator design with a minimum quantum cost function in quantum-dot cellular automata. Information Systems & Telecommunication, 6, 197–203. Citations: 5

  4. Bahrepour, D., & Maroufi, N. (2019). A 2-bit full comparator design with minimum quantum cost function in quantum-dot cellular automata. Journal of Information Systems and Telecommunication (JIST), 4(24), 197. Citations: 3

  5. Maroufi, N., Sohrabi, M., Mehrabadi, S., Zamani, F., Ajdarkosh, H., Hatamian, S., Bahavar, A., Tameshkel, F. S., Gholami, A. (2024). Poor sleep quality and its influencing factors among Iranian patients with esophageal and gastric cancer. Middle East Journal of Digestive Diseases, 16(1), 39–46. Citations: 2

 

Ian Dadour | Forensic Science | Best Researcher Award

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Prof. Dr. Ian Dadour | Forensic Science | Best Researcher Award 

Professor | Source Certain International Limited | Australia 

Professor Ian Dadour is a distinguished Australian zoologist and forensic entomologist with a career spanning over four decades, making significant contributions to insect behavior, evolutionary biology, applied entomology, and forensic science. He completed his B.Sc. in Zoology at the University of Western Australia in 1978, followed by an Honours year at the University of New England in Entomology in 1979, and a Ph.D. in Zoology from the University of Western Australia in 1988, with a thesis on the agonistic behavior of the bushcricket Mygalopsis marki. Following postdoctoral fellowships in Germany and at the University of Adelaide focusing on insect mating systems and habitat selection, he joined the Western Australian Department of Agriculture in 1989, where he led the Dung Beetle/Bush Fly Programme and initiated his career in forensic entomology. Professionally, Professor Dadour has served as Director of the Centre for Forensic Science (UWA), Head of Research & Education at Source Certain International, Professor of Forensic Science at UWA, Adjunct Professor at Deakin University and Murdoch University, and Visiting/Adjunct Professor at Boston University and Lincoln University (UK), supervising numerous MSc and Ph.D. students and teaching forensic entomology worldwide, including the FBI Evidence Response Team. His research interests encompass forensic entomology, insect ecology, evolutionary biology, and forensic provenancing, with skills in population genetics, taphonomy, decomposition studies, and applied field and laboratory techniques. Professor Dadour has authored extensive publications, contributed to over 450 graduate completions, and provided expert forensic testimony in multiple jurisdictions. His awards and honors include ANZFSS Scholarship (1998), Michael Duffy Travel Fellowship (2002), Best Refereed Paper (2001), Faculty Teaching Award (2008), Henry Delaforce Award (2009), and international recognition for teaching and research. His work has had significant societal and forensic impact, advancing global standards in forensic entomology, mentoring future leaders, and strengthening law enforcement practices. 2,585 Citations, 99 Documents, h-index 29.

Profiles: Scopus | ORCID | ResearchGate

Featured Publications

  1. Dadour, I. R. (2025). Post-mortem interval determinations using insects collected from illegally hunted and dehorned rhinoceros in the Republic of South Africa from 2014 to 2021. Medical and Veterinary Entomology. Citations: 2

  2. Dadour, I. R. (2025). A preliminary study of carrion insects in Greece and their attraction to three animal baits: A forensic entomology perspective. Forensic Science, Medicine and Pathology. Citations: 2

  3. Dadour, I. R. (2025). Linking seasonal temperature variations with laboratory-derived development data for Chrysomya rufifacies (Macquart): A case for myiasis. Forensic Sciences. Citations: 0

  4. Dadour, I. R. (2025). Unusual bot fly larva removed from the scalp of a returning traveler. Journal of Medical Entomology. Citations: 0

  5. Dadour, I. R. (2025). The decomposition process in two restricted access environments in a temperate climate: Hard-covered suitcases and wheeled bins. Forensic Science International. Citations: 1