Dr. Shikha Singh | Immunology | Editorial Board Member

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Dr. Shikha Singh | Immunology | Editorial Board Member

Associate Professor | Rama Devi Women's University | India

Dr. Shikha Singh is a distinguished researcher whose scholarly contributions reflect a deep commitment to advancing Immunology through multidisciplinary scientific inquiry. Her work demonstrates how Immunology can be integrated with environmental sciences, microbial biotechnology, clinical microbiology, agricultural systems, and public health challenges to create broader scientific impact. Throughout her research journey, Immunology has served as a central theme driving her analytical approach, enabling her to explore molecular interactions, pathogenic behavior, and ecological factors with exceptional clarity. As a productive scholar, Dr. Shikha Singh has authored influential publications that highlight the relevance of Immunology in understanding environmental toxicity, microbial contamination, disease-related fungal resistance, genotype characterization, and physiological responses in biological systems. Her research in Immunology extends across collaborations with experts in environmental chemistry, biotechnology, microbiology, agricultural sciences, and clinical research, reflecting a strong interdisciplinary foundation. By applying Immunology principles to complex scientific problems, she has contributed to improved strategies for pollution assessment, pathogen detection, antimicrobial evaluation, and sustainable resource management. Her work in Immunology continues to inspire innovative approaches in both laboratory and real-world applications, demonstrating how scientific evidence can guide public health protection and ecological sustainability. With Immunology guiding her research perspective, Dr. Shikha Singh has strengthened scientific understanding, supported evidence-based solutions, and contributed to global knowledge systems through impactful collaborations. Her scholarly influence within Immunology is further reinforced by her consistent publication record and the measurable reach of her research within the global academic community. Google Scholar profile of 1100 Citations, 13 h-index, 19 i10-index.

Profile: Google Scholar

Featured Publications

1. Mohanty, S., Benya, A., Hota, S., Kumar, M. S., & Singh, S. (2023). Eco-toxicity of hexavalent chromium and its adverse impact on environment and human health in Sukinda Valley of India: A review on pollution and prevention strategies. Environmental Chemistry and Ecotoxicology, 5, 46–54.

2. Mishra, S., Ghosh, S., van Hullebusch, E. D., Singh, S., & Das, A. P. (2023). A critical review on the recovery of base and critical elements from electronic waste-contaminated streams using microbial biotechnology. Applied Biochemistry and Biotechnology, 195(12), 7859–7888.

3. Ponnachan, P., Vinod, V., Pullanhi, U., Varma, P., Singh, S., Biswas, R., & Kumar, A. (2019). Antifungal activity of octenidine dihydrochloride and ultraviolet-C light against multidrug-resistant Candida auris. Journal of Hospital Infection, 102(1), 120–124.

4. Benya, A., Mohanty, S., Hota, S., Das, A. P., Rath, C. C., Achary, K. G., & Singh, S. (2023). Endangered Curcuma caesia Roxb.: Qualitative and quantitative analysis for identification of industrially important elite genotypes. Industrial Crops and Products, 195, Article 116363.

5. Singh, S., Sahoo, S., Dash, S., & Nayak, S. (2014). Association of growth and yield parameters with bioactive phytoconstituents in selection of promising turmeric genotypes. Industrial Crops and Products, 62, 373–379.

Assist. Prof. Dr. Law Kumar Singh | Medical Image Processing | Editorial Board Member

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Assist. Prof. Dr. Law Kumar Singh | Medical Image Processing | Editorial Board Member

Assistant Professor | GLA University | India

Assist. Prof. Dr. Law Kumar Singh is a distinguished researcher whose scientific contributions have significantly shaped advancements in Medical Image Processing, artificial intelligence, and clinical decision-support systems. His work demonstrates a consistent commitment to enhancing healthcare diagnostics through Medical Image Processing, with notable achievements in breast cancer prediction, glaucoma detection, diabetic retinopathy assessment, and automated medical screening technologies. Recognized for integrating nature-inspired algorithms with deep learning, he has established a strong research presence built upon innovation and high-impact publications in Medical Image Processing. Throughout his career, Assist. Prof. Dr. Law Kumar Singh has authored influential studies that advance Medical Image Processing by developing hybrid architectures, robust optimization frameworks, and deep neural network models tailored for medical applications. His collaborations with leading experts across computer vision, machine learning, and biomedical engineering have strengthened the translational impact of Medical Image Processing, ensuring that his research contributes both to academic progress and clinical relevance. He has produced numerous widely cited works, reflecting the global recognition of his contributions to Medical Image Processing. His research portfolio highlights a strong focus on real-world medical challenges, where Medical Image Processing serves as a transformative tool for early disease identification and improved patient outcomes. By blending algorithmic efficiency with diagnostic precision, he has consistently demonstrated how Medical Image Processing can elevate the accuracy and reliability of automated healthcare systems. His collaborative projects further emphasize interdisciplinary integration, reinforcing the essential role of Medical Image Processing in solving complex biomedical problems. Assist. Prof. Dr. Law Kumar Singh continues to expand the frontiers of Medical Image Processing through rigorous research, impactful publications, and sustained contributions to global scientific communities. His work stands as a benchmark for excellence in data-driven healthcare innovation. Google Scholar profile of 1558 Citations, 27 h-index, 36 i10-index.

Profile: Google Scholar

Featured Publications

1. Thawkar, S., Sharma, S., Khanna, M., & Singh, L. K. (2021). Breast cancer prediction using a hybrid method based on butterfly optimization algorithm and ant lion optimizer. Computers in Biology and Medicine, 139, 104968.

2. Singh, L. K., Khanna, M., & Singh, R. (2023). Artificial intelligence based medical decision support system for early and accurate breast cancer prediction. Advances in Engineering Software, 175, 103338.

3. Singh, L. K., Pooja, Garg, H., Khanna, M., & Bhadoria, R. S. (2021). An enhanced deep image model for glaucoma diagnosis using feature-based detection in retinal fundus. Medical & Biological Engineering & Computing, 59(2), 333–353.

4. Khanna, M., Singh, L. K., Thawkar, S., & Goyal, M. (2024). PlaNet: A robust deep convolutional neural network model for plant leaves disease recognition. Multimedia Tools and Applications, 83(2), 4465–4517.

5. Singh, L. K., Pooja, Garg, H., & Khanna, M. (2022). Deep learning system applicability for rapid glaucoma prediction from fundus images across various data sets. Evolving Systems, 13(6), 807–836.

Dr. Tahmineh Azizi | Neuroscience | Editorial Board Member

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Dr. Tahmineh Azizi | Neuroscience | Editorial Board Member

Research Associate | University of Wisconsin-Madison | United States

Dr. Tahmineh Azizi is a distinguished researcher whose work spans mathematical modeling, biomathematics, biostatistics, dynamical systems, and advanced neuroscience applications. Her scholarship brings a unique interdisciplinary synergy, using quantitative frameworks to address complex challenges in biological systems, physiology, and neuroscience. Dr. Azizi’s research encompasses fractal geometry, neural oscillations, physiological modeling, biodistribution analysis, and computational interpretations of human brain activity, all of which contribute significantly to global neuroscience discourse. Her contributions extend to innovative investigations in neural bursting, spiking behavior, seizure recognition, and stress modeling, strengthening the integration of applied mathematics with modern neuroscience. Through impactful publications on neuro-degenerative disease dynamics, fetal ECG complexity, epileptic network organization, and mental arithmetic–related brain activity, she continually advances the analytical depth of computational neuroscience. Dr. Azizi has collaborated widely across multidisciplinary teams, contributing to studies involving nanoparticle bioimaging, pharmacokinetics, environmental dynamics, urban climate analysis, and diverse physiological systems, demonstrating the far-reaching societal impact of her work. Her research in neuroscience is recognized for methodological rigor, conceptual innovation, and practical relevance, providing valuable insights to laboratories, clinical researchers, and computational scientists. She has authored multiple highly cited works and remains an influential figure in advancing global neuroscience research through her integration of mathematical tools with biological and neurological complexity. Dr. Azizi’s body of work exemplifies a commitment to precision, scientific integrity, and continued advancement of neuroscience, establishing her as a respected contributor in the international research community. Google Scholar profile of 427 Citations, 11 h-index, 13 i10-index.

Profile: Google Scholar

Featured Publications

1. Pitchaimani, A., Nguyen, T. D. T., Marasini, R., Eliyapura, A., Azizi, T., Jaberi-Douraki, M., & Aryal, S. (2019). Biomimetic natural killer membrane camouflaged polymeric nanoparticle for targeted bioimaging. Advanced Functional Materials, 29(4), 1806817.

2. Azizi, T. (2022). On the fractal geometry of gait dynamics in different neuro-degenerative diseases. In Clinical Applications of Fractals and Fractional Order Systems (pp. 129-149).

3. Riviere, J. E., Jaberi-Douraki, M., Lillich, J., Azizi, T., Joo, H., Choi, K., Thakkar, R., & Monteiro-Riviere, N. A. (2018). Modeling gold nanoparticle biodistribution after arterial infusion into perfused tissue: Effects of surface coating, size and protein corona. Nanotoxicology, 12(10), 1093–1112.

4. Azizi, T., & Mugabi, R. (2020). Global sensitivity analysis in physiological systems. Applied Mathematics, 11(3), 119–136.

5. Azizi, T., & Kerr, G. (2020). Chaos synchronization in discrete-time dynamical systems with application in population dynamics. Journal of Applied Mathematics and Physics, 8(03), 406.

Xin Su | Infectious Diseases | Best Researcher Award

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Dr. Xin Su | Infectious Diseases | Best Researcher Award

Attending Physician | Nanjing University | China

Professor Xin Su, M.D., Ph.D., is a distinguished clinical scientist and Chief Physician renowned for his pioneering contributions to respiratory and critical care medicine, with particular expertise in the study and management of severe pulmonary infections. Over a distinguished career spanning nearly three decades, he has demonstrated an exceptional ability to bridge clinical excellence with translational research innovation. His work focuses on the pathogenesis, diagnosis, and treatment of invasive pulmonary aspergillosis (IPA) in non-neutropenic patients, a challenging and underexplored domain of pulmonary medicine. As a leading investigator, Professor Su has spearheaded multicenter studies that have transformed the understanding of pulmonary fungal infections, combining rigorous clinical observation with the use of novel diagnostic technologies, including machine learning and metagenomic sequencing. His publications in high-impact journals such as The Lancet Infectious Diseases, Microbiology Spectrum, Frontiers in Cellular and Infection Microbiology, and Clinical Microbiology and Infection reflect a deep commitment to advancing evidence-based practices and diagnostic accuracy in the field. Through his groundbreaking studies, Professor Su has introduced innovative diagnostic models that integrate big data analytics with clinical biomarkers, offering more precise and timely identification of IPA and related fungal diseases. Beyond diagnostics, his investigations into host immune responses, interferon signaling, and biomarker development have opened new avenues for prognostic assessment and personalized treatment strategies. His leadership roles as a Chief Physician, Professor, and Doctoral Supervisor at Nanjing University-affiliated hospitals underscore his dual impact as both a clinician and academic mentor. Colleagues and collaborators recognize his unique ability to unite global expertise, as evidenced by his participation in international research consortia addressing fungal infections and severe pneumonia outcomes. His scholarly rigor, coupled with his mentorship of young clinicians and researchers, has significantly enriched the field of respiratory and infectious disease research. While Professor Su’s scientific achievements are substantial, he continues to identify strategic growth areas that align with the evolving challenges of respiratory medicine. Expanding the clinical utility of machine learning-based diagnostic platforms, validating novel biomarkers in diverse patient populations, and enhancing global collaborative networks remain key objectives. Moreover, strengthening translational pathways that connect molecular diagnostics to frontline patient care is an ongoing priority, ensuring that innovations in the laboratory translate into improved clinical outcomes. Looking ahead, Professor Su’s future research aims to deepen the mechanistic understanding of host-pathogen interactions in fungal and viral co-infections, refine AI-driven diagnostic algorithms for pulmonary infections, and integrate multi-omics data into clinical decision-making frameworks. His vision is to establish an internationally recognized precision-medicine model for diagnosing and managing severe respiratory infections, ultimately contributing to reduced mortality, optimized therapeutic strategies, and global health resilience in the era of emerging respiratory pathogens. He has 2677 citations from 128 documents with an h-index of 28.

Profiles: Scopus | ORCID

Publications

1. Diagnostic and prognostic roles of interferon-λ1 and interferon-λ3 in bronchoalveolar lavage fluid and plasma in non-neutropenic patients with invasive pulmonary aspergillosis. (2025). Microbiology Spectrum.

2. Rapid and accurate diagnosis of severe pneumonia: Similarities and differences between severe community-acquired pneumonia and hospital-acquired pneumonia/ventilator-associated pneumonia. (2025). Chinese Journal of Tuberculosis and Respiratory Diseases.

3. Development and validation of a machine learning-based diagnostic model for identifying nonneutropenic invasive pulmonary aspergillosis in suspected patients: A multicenter cohort study. (2025). Microbiology Spectrum.

4. Expert consensus on cancer treatment-related lung injury. (2025). Journal of Thoracic Disease.

5. Pentraxin-3 as a novel prognostic biomarker in non-neutropenic invasive pulmonary aspergillosis patients. (2025). Microbiology Spectrum.

Dr. Margarita Kunin | fungal infection | Best Researcher Award

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Dr. Margarita Kunin | fungal infection | Best Researcher Award

Specialist Physician | Sheba Medical Center | Israel

Dr. Margarita Kunin, a distinguished nephrologist at the Nephrology and Hypertension Institute, Sheba Medical Center, Israel, has made remarkable contributions to understanding infectious and renal complications, particularly fungal infection in peritoneal dialysis. Her extensive medical education and specialized fellowships have equipped her with expertise spanning internal medicine, nephrology, and molecular pathology. Throughout her professional experience as an attending physician and academic instructor, she has focused her research on clinical nephrology, dialysis-related inflammation, and infection mechanisms, where fungal infection has been a central concern in her published studies. Her pioneering nationwide cohort study on fungal infection in peritoneal dialysis patients significantly advanced understanding of infection dynamics in immunocompromised individuals. Dr. Kunin’s research interests integrate molecular mechanisms of renal damage, inflammation, and fungal infection resistance pathways. She has earned recognition and academic honors for her impactful publications and mentorship in nephrology education. Her analytical and diagnostic research skills demonstrate precision in identifying fungal infection biomarkers and improving patient outcomes through preventive strategies. With a strong record of international collaborations, her clinical and laboratory achievements continue to strengthen infection control in renal healthcare. The synthesis of her studies highlights her continuous commitment to patient safety, infectious disease prevention, and renal innovation. Her academic excellence, leadership in fungal infection research, and publication record reflect a profound influence in nephrology and medical microbiology, supported by a Scopus profile of 302 Citations, 22 Documents, and an h-index of 10.

Profile: Scopus

Featured Publications

1. Hyperbilirubinemia-associated kidney injury: A retrospective analysis of clinical features, risk factors, and mortality. (2025). Journal of Nephrology.

2. Fungal peritonitis in peritoneal dialysis patients: A nationwide cohort study. (2025). European Journal of Clinical Microbiology and Infectious Diseases.

Yvonne Hernandez-Kapila | Infectious Diseases | Best Researcher Award

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Dr. Yvonne Hernandez-Kapila | Infectious Diseases | Best Researcher Award 

Professor | UCLA | United States

Dr. Yvonne L. Hernandez-Kapila is a distinguished clinician-scientist, academic leader, and global research contributor recognized for her transformative work in oral biology, periodontology, and cancer biology. As Professor and Associate Dean for Research at the UCLA School of Dentistry and the Felix and Mildred Yip Endowed Chair in Dentistry, her research has significantly advanced understanding of the molecular and cellular mechanisms underlying periodontal disease, oral cancer, and host-microbiome interactions. Her laboratory’s pioneering investigations into the oral-gut-brain axis, bacteriocin therapeutics, and oral virome have shaped new paradigms in microbial pathogenesis, inflammation, and regenerative oral health. A prolific author with more than a hundred peer-reviewed publications in leading journals such as NPJ Biofilms and Microbiomes, Journal of Biological Chemistry, PLOS Pathogens, and Cell Death and Differentiation, Dr. Kapila’s work bridges fundamental discovery with translational innovation. She has served as principal investigator on multiple NIH-funded projects, including major initiatives exploring host–bacterial dynamics and microbiome modulation in oral and systemic disease contexts. Her editorial leadership extends across several international journals and major textbooks, including Periodontology 2000 and Newman and Carranza’s Clinical Periodontology, where she continues to shape scholarly discourse in the field. Dr. Kapila has received numerous prestigious honors recognizing her scientific excellence, mentorship, and contributions to dental research, including awards from the American Dental Association, the American Academy of Periodontology, and the American Association for Dental Research. A dedicated mentor, she has guided over a hundred trainees and junior faculty toward successful academic and research careers worldwide, championing inclusivity, rigorous scientific methodology, and leadership development. Through her interdisciplinary collaborations and global initiatives, Dr. Kapila continues to influence the future of oral health sciences, biomolecular therapeutics, and translational medicine, establishing herself as a leading voice in advancing oral-systemic health research on an international scale. She has 8347 citations from 146 documents with an h-index of 47.

Profiles: Scopus | ORCID

Publications

1. B. lactis HN019 modulates periapical inflammation and enhances cementum repair by increasing CEMP-1 expression in an animal model. (2025). Archives of Oral Biology.

2. The antimicrobial peptide nisin promotes host cell survival during SARS-CoV-2 infection. (2025). Virology Journal.

3. Nisin lantibiotic prevents NAFLD liver steatosis and mitochondrial oxidative stress following periodontal disease by abrogating oral, gut and liver dysbiosis. (2024). NPJ Biofilms and Microbiomes.

4. Biological biomarkers of oral cancer. (2025). [Journal name not specified].

5. Nisin, a probiotic bacteriocin, modulates the inflammatory and microbiome changes in female reproductive organs mediated by polymicrobial periodontal infection. (2024). Microorganisms.

Eman Abdel-Wahab | Mechanism of Resistance | Best Researcher Award

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Assoc. Prof. Dr. Eman Abdel-Wahab | Mechanism of Resistance | Best Researcher Award

Senior Researcher | Agricultural Research Center | Egypt

Dr. Eman Ibrahim El-Sayed Abdel-Wahab is a distinguished Senior Researcher in Genetics at the Agricultural Research Center (ARC), Giza, Egypt, recognized for her expertise in plant genetics, crop improvement, and sustainable agricultural systems. Since joining ARC in 2012, she has conducted extensive research on the genetic and molecular mechanisms underlying soybean resistance to pests such as the cotton leaf worm (Spodoptera littoralis) and lima bean pod borer (Etiella zinckenella), while also advancing knowledge in intercropping systems, legume productivity, water use efficiency, and biotic stress tolerance. She has authored or co-authored over 50 scientific publications, including journal papers, book chapters, and conference proceedings published by Springer, IGI Global, and Lambert Academic Publishing, with her research achieving 33 citations across 10 Scopus-indexed documents and an h-index of 4. Actively contributing to national research programs focused on enhancing food legume production, Dr. Abdel-Wahab has played a vital role in strengthening Egypt’s agricultural resilience and sustainability. In addition to her research, she has served as a reviewer and editorial board member for several international journals, earning more than 30 certificates of excellence in reviewing from reputed publishers. Her outstanding achievements have been recognized globally through honors such as the World Championship in Seed Yield (Soybean Varieties) and the Agricultural Management Fellowship from India. Through her pioneering work on genetic resistance mechanisms and crop development, Dr. Abdel-Wahab continues to make a lasting impact on agricultural innovation, food security, and sustainable farming systems.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

Metwally, A. E. A., Safina, S., Abdel-Wahab, E., & Abdel-Wahab, S. (2021). Screening thirty soybean genotypes under solid and intercropping plantings in Egypt. Journal of Crop Science and Biotechnology, 24, 203–220.

Safina, S., Mohamed, H., Abdel-Wahab, E., & El-Moemen, M. (2018). Seed yield and its quality of some soybean varieties as affected by humic acid. Academia Journal of Agricultural Research, 6(5), 194–213.

Abdel-Wahab, E., Naroz, M., & Abd El-Rahman, S. (2019). Potential of some soybean varieties for resistance to lima bean pod borer (Etiella zinckenella) under field conditions. Research on Crops, 20(2), 389–398.

Abdel-Wahab, S., & Abdel-Wahab, E. (2020). Competitive and facilitative effects of intercropping some soybean varieties with corn under different soybean plant densities. Plant Archives, 20(2), 1631–1639.

Dr. Eman Ibrahim El-Sayed Abdel-Wahab’s research significantly advances sustainable agriculture by improving soybean productivity, pest resistance, and intercropping efficiency through genetic and molecular innovation. Her work enhances food security, optimizes land use in resource-limited environments, and supports the development of resilient crop systems vital for global agricultural sustainability.

Ahmed Ahmed Olaitan | Global Health and Infectious Disease Burden | Young Scientist Award

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Mr. Ahmed Ahmed Olaitan | Global Health and Infectious Disease Burden | Young Scientist Award

PhD Scholar  |  Universiti Sultan Zainal Abidin  |  Nigeria

Mr. Ahmed Ahmed Olaitan is an emerging academic and research scholar whose work bridges sociology, environmental studies, and sustainable development. His professional experience spans research, teaching, and community leadership, with active roles as a Lecturer at the Federal College of Forest Resources Management in Ishiagu, Nigeria, and a Research Fellow at the Forestry Research Institute of Nigeria. His research contributions focus on traditional healthcare practices, indigenous community development, social and environmental sustainability, and the socio-economic dimensions of forestry and agroforestry. He has co-authored multiple peer-reviewed journal articles that explore the intersections of social systems, environmental conservation, and cultural knowledge transmission. His scholarly efforts extend to participation in national and international conferences, where he has presented research on environmental management, indigenous education, and climate change awareness. Ahmed’s research skills encompass qualitative and quantitative methodologies, data analysis using PLS-SEM, SPSS, NVivo, and Excel, and the development of community-based research frameworks that support sustainable livelihoods. His academic excellence has been recognized with honors, including the Graduate on Time Award from Universiti Sultan Zainal Abidin, highlighting his dedication to timely and impactful scholarship. He has also served in leadership capacities such as Treasurer of the International Student Society at Universiti Sultan Zainal Abidin and Principal of Sheikh Ahmad Islamic School in Ilorin, Nigeria, where he promotes education and community empowerment. His work demonstrates a strong commitment to social innovation, research excellence, and practical approaches to achieving sustainable development goals. With a growing academic profile and a collaborative approach to interdisciplinary inquiry, Ahmed continues to contribute significantly to both scholarly research and societal advancement. He has achieved 22 Citations, 9 Documents, 3 h-index .

Profiles:  Google Scholar | ORCID | Scopus 

Featured Publications

  1. GO Victory, Oyewole, A. L., & Olaitan, A. A. (2022). Climate-smart agricultural practices at Oyo State, Nigeria. South Asian Journal of Social Review, 1(1), 1–7.
    Citations: 45

  2. Tokede, A. M., Banjo, A. A., Ahmad, A. O., Fatoki, O. A., & Akanni, O. F. (2020). Farmers’ knowledge and attitude towards the adoption of agroforestry practices in Akinyele Local Government Area, Ibadan, Nigeria. Journal of Applied Sciences and Environmental Management, 24(10), 1775–1780.
    Citations: 31

  3. Ibrahim, A., Abdullah, R., Ismail, W. N. A. T., & Olaitan, A. (2023). Strategy formulation to empower indigenous community involvement in cultural ecological tourism of Kuala Tahan National Park. Planning Malaysia, 21, 36–47.
    Citations: 19

  4. Ibrahim, A., Olaitan, A. A., Jazmina, W. N., Simin, M. H. A., & Nizam, M. S. (2023). Capacity building of indigenous youth through skills and career training programs in Malaysia. ISVS e-journal, 10(6), 151–163.
    Citations: 13

  5. Rose, A. O., Morenike, T. A., Ahmad, A. O., & Anne, T. F. A. (2020). Predictor of research productivity among married female research scientists in Oyo State, Nigeria. Journal of Finance and Economics, 8(5), 232–236.
    Citations: 9

Dr. Sheharyar Khan | Diagnosis of Infectious Diseases | Best Researcher Award

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Dr. Sheharyar Khan | Diagnosis of Infectious Diseases | Best Researcher Award

Postdoctoral Research Fellow | Shandong University | China

Dr. Sheharyar Khan is a highly skilled researcher specializing in the Diagnosis of Infectious Diseases, demonstrating outstanding contributions through his academic and scientific achievements. His education in Computer Science and Software Engineering has been instrumental in developing innovative computational models and AI-based frameworks that enhance the Diagnosis of Infectious Diseases through data analysis, prediction models, and intelligent diagnostic systems. Professionally, Dr. Khan has held roles as a Postdoctoral Research Fellow, IT Specialist, and Lecturer, where he applied advanced technologies to improve the Diagnosis of Infectious Diseases by integrating machine learning and computational techniques. His research focuses on using cloud computing, big data, and ensemble learning to improve precision in the Diagnosis of Infectious Diseases. His numerous peer-reviewed publications, recognized in leading journals, contribute to cutting-edge advancements in healthcare technology and the Diagnosis of Infectious Diseases. Dr. Khan has received multiple honors and awards, including international scholarships and distinctions for his exceptional research performance related to the Diagnosis of Infectious Diseases. His technical expertise spans machine learning, deep learning, IoT, and data-driven software applications that strengthen real-time Diagnosis of Infectious Diseases. With strong analytical and programming skills, he continues to drive impactful scientific progress. Overall, Dr. Sheharyar Khan embodies a blend of innovation, academic excellence, and leadership in the Diagnosis of Infectious Diseases field, maintaining a Google Scholar profile of 113 Citations, 7 h-index, and 6 i10-index.

Profiles: Google Scholar | ORCID

Featured Publications

1. Ahmed, U., Jiangbin, Z., Almogren, A., Khan, S., Sadiq, M. T., Altameem, A., & others. (2024). Explainable AI-based innovative hybrid ensemble model for intrusion detection. Journal of Cloud Computing, 13(1), 150.

2. Khan, S., Jiangbin, Z., Irfan, M., Ullah, F., & Khan, S. (2024). An expert system for hybrid edge to cloud computational offloading in heterogeneous MEC–MCC environments. Journal of Network and Computer Applications, 225, 103867.

3. Khan, S., Zheng, J., Khan, S., Masood, Z., & Akhter, M. P. (2023). Dynamic offloading technique for real-time edge-to-cloud computing in heterogeneous MEC–MCC and IoT devices. Internet of Things, 24, 100996.

4. Khan, S., Jiangbin, Z., Ullah, F., Akhter, M. P., Khan, S., Awwad, F. A., & Ismail, E. A. A. (2024). Hybrid computing framework security in dynamic offloading for IoT-enabled smart home system. PeerJ Computer Science, 64.

5. Afridi, A., Wahab, A., Khan, S., Ullah, W., Khan, S., Islam, S. Z. U., & Hussain, K. (2021). An efficient and improved model for power theft detection in Pakistan. Bulletin of Electrical Engineering and Informatics, 10(4), 1828–1837.

Arshad Mehmood | Neuro Infectious Diseases | Best Researcher Award

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Prof. Dr. Arshad Mehmood | Neuro Infectious Diseases | Best Researcher Award

Scientific Researcher  |  The Second Hospital of Hebei Medical University  |  China

Dr. Arshad Mehmood is a dedicated neuroscientist whose research primarily focuses on neuroimmunology, neurodegenerative disorders, and molecular mechanisms underlying neurological diseases. His expertise encompasses investigating the role of MeCP2, CRISPR, mRNA, and targeted protein degradation technologies in diseases such as multiple sclerosis, neuromyelitis optica spectrum disorders, Alzheimer’s, Parkinson’s disease, ischemia-reperfusion injury, and stroke. He has contributed significantly to understanding inflammatory pathways, neuroimmune interactions, and molecular signaling mechanisms involved in central nervous system disorders. His research outputs are well recognized, with multiple publications in high-impact SCI-indexed journals, covering diverse topics such as retinal imaging in multiple sclerosis, the role of LINE-1 retrotransposons in neuroinflammation, and the potential of nanotechnology in overcoming blood-brain barrier challenges. Dr. Mehmood possesses extensive research skills including PCR, ELISA, Western blotting, RNA sequencing, flow cytometry, and advanced cell culture techniques. His professional experience also includes teaching physiology, cell biology, endocrinology, and genetics at university and college levels, reflecting his commitment to academic excellence and mentorship. He is proficient in various bioinformatics and statistical software tools such as SPSS, RaoSoft, and PrismPad, supporting his analytical and data interpretation abilities. His contributions to neurology and biotechnology have earned him professional recognition within the scientific community, where he continues to collaborate internationally on neuroinflammatory and translational research projects. Dr. Mehmood’s passion for advancing neuroscience through precision medicine and targeted molecular therapies underscores his vision to reduce the global burden of neurological diseases. He exemplifies scientific rigor, leadership, and innovation in clinical neuroscience, with a focus on developing future therapeutic strategies for complex brain disorders. He has acheived 239 Citations , 30 Documents , 8 h-index.

Profiles:  Google Scholar | ORCID | Scopus | Research Gate 

Featured Publications

1. Song, S., Guo, R., Mehmood, A., Zhang, L., Yin, B., Yuan, C., Zhang, H., Guo, L., et al. (2022). Liraglutide attenuates central nervous inflammation and demyelination through AMPK and pyroptosis-related NLRP3 pathway. CNS Neuroscience & Therapeutics, 28(3), 422–434. Cited by 90.

2. Mehmood, A., Ali, W., Song, S., Din, Z. U., Guo, R. Y., Shah, W., Ilahi, I., Yin, B., Yan, H., et al. (2021). Optical coherence tomography monitoring and diagnosing retinal changes in multiple sclerosis. Brain and Behavior, 11(10), e2302. Cited by 40.

3. Khan, I., Khan, I., Jianye, Z., Xiaohua, Z., Khan, M., Hilal, M. G., Kakakhel, M. A., et al. (2022). Exploring blood microbial communities and their influence on human cardiovascular disease. Journal of Clinical Laboratory Analysis, 36(4), e24354. Cited by 38.

4. Haider, A., Wei, Z., Parveen, S., & Mehmood, A. (2023). The association between comorbid body dysmorphic disorder and depression: Moderation effect of age and mediation effect of body mass index and body image among Pakistani students. Middle East Current Psychiatry, 30(1), 11. Cited by 15.

5. Din, Z. U., Cui, B., Wang, C., Zhang, X., Mehmood, A., Peng, F., & Liu, Q. (2025). Crosstalk between lipid metabolism and EMT: Emerging mechanisms and cancer therapy. Molecular and Cellular Biochemistry, 480(1), 103–118. Cited by 14.