Muhammad Hussain Ghazali | Food Science and Engineering | Young Researcher Award

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Mr. Muhammad Hussain Ghazali | Food Science and Engineering | Young Researcher Award

South China University of Technology | China

Mr. Muhammad Hussain Ghazali is a doctoral researcher in Food Science and Engineering, recognized for pioneering contributions in meat science, nonthermal preservation technologies, and biobased packaging, with a particular distinction for advancing camel meat research in Pakistan. He holds a Doctor of Veterinary Medicine, an M.Phil. in Meat Science and Technology, and is pursuing a Ph.D. with a specialization in cold plasma–integrated bio-based packaging systems for meat quality and safety monitoring. His professional experience spans research, editorial service, mentoring, and scientific reviewing, including active peer-review contributions for leading international journals and verified reviewer status through global academic platforms. His research focuses on meat quality evaluation, cold plasma applications, sustainable packaging, analytical characterization techniques, and emerging omics-based food quality assessment, supported by competence in advanced data analysis tools. He has contributed to the scientific community through publications, collaborative projects, and active engagement in international research networks across multiple regions. His recognitions include editorial and reviewer certifications, distinctions for peer-review excellence, and involvement with reputable scientific bodies. Demonstrating strong analytical capacity, leadership potential, and a global research outlook, he continues to build a growing academic profile that reflects innovation, scientific rigor, and commitment to advancing food safety and engineering research.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Ghazali, M. H., Bakhsh, M., Zainab, U., Faraz, A., Munir, M. U., Channo, A., … (2023). Camel meat production, consumption and nutritive value: Present status and future prospects. International Journal of Camel Science, 5, 123–136.

2. Bakhsh, M., Ghazali, M. H., Yar, M. K., Channo, A., Kashif, M., Ijaz, M., … (2023). The role of fish in global food and nutrition security: Current aspects and future prospects. University of Sindh Journal of Animal Sciences, 7(4), 23–35.

3. Ghazali, M. H., Keener, K. M., Pan, Y., Zou, S., … (2025). Cold plasma-integrated bio-based packaging for meat quality and safety monitoring: A mini review. Food Wellness, 1(1), 100004.

4. Muhammad Hussain Ghazali, L. B., & Saleem, F. (2025). Cold plasma and high-pressure processing in sustainable meat preservation: A review. Food, Nutrition, and Health, 2(22), 1–14.

5. Shah, S. H. R., Qamar, M. H., Ghazali, M. H., Ali, S., Bilal, M., Fawad, A., Khalil, H. U. R., … (2024). New insights in uterine involution and ovarian resumption in domestic animals. Acta Scientific Veterinary Sciences, 6(6).

Mr. Muhammad Hussain Ghazali’s research advances innovative, sustainable approaches to meat safety and quality, contributing to global food security through nonthermal preservation and biobased packaging technologies. His work supports industry transformation by promoting safer, eco-friendly processing solutions and expanding scientific understanding of underexplored meat resources.

Feyera Gemeda | Infectious Diseases | Outstanding Scientist Award

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Assoc. Prof. Dr. Feyera Gemeda | Infectious Diseases | Outstanding Scientist Award

Associate Professor | Dima Jimma university | Ethiopia

Assoc. Prof. Dr. Feyera Gemeda Dima is a distinguished researcher and academic with extensive experience in Infectious Diseases, Medical Mycology, and Medicine. He has demonstrated excellence in teaching, research, and mentorship at both national and international levels, fostering the development of students and early-career researchers. His work emphasizes innovation in scientific research, editorial contributions, and leadership in grant assessment and curriculum development. He has contributed significantly to global collaborations and serves as a Chief Scientist and Global Assessor, reflecting his commitment to advancing scientific knowledge. His research focuses on improving understanding and management of infectious diseases, with the potential to influence public health strategies. Prof. Gemeda’s dedication to integrating innovative approaches and interdisciplinary perspectives underscores his capacity for impactful contributions in the field.

Profile:  Google Scholar

Featured Publications

1. T. Gizaw and F. G. Dima, “Assessment of problems and constraints associated with artificial insemination service in the two selected districts of Arsi zone,” Journal of Harmonized Research in Medical and Health Sciences, vol. 3, no. 1, pp. 14–37, 2016.

2. A. Edao, F. G. Dima, and F. B. Deressa, “Prevalence of bovine cysticercosis and status of human taeniasis in and around Asella town, Tiyoworeda, south east Ethiopia,” Glob J Med Res, vol. 16, pp. 18–26, 2016.

3. F. Gemeda, “Prevalence of bovine Trypanosomosis in and around Nekemte areas, east Wollega zone, Ethiopia,” Open Access Library Journal, vol. 2, no. 05, p. 1, 2015.

4. D. T. Legesse and F. Gemeda, “Comparison of two parasitological tests and post mortem examination to detect prevalence of bovine fasciolosis at Ambo Town Municipal Abattoir, West Shewa Zone, Ethiopia,” Open Access Library Journal, vol. 2, no. 8, pp. 1–5, 2015.

5. F. G. Dima and T. Fikedu, “Review on infectious bovine keratoconjunctivitis,” J Bacteriol Infect Dis, vol. 4, no. 4, pp. 1–6, 2021.

Dr. Gemeda’s work advances the understanding and control of infectious diseases, providing evidence-driven insights that strengthen public health systems and guide global disease management strategies.

Milad Shirvaliloo | Cancer Epigenetics | Best Researcher Award 

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Dr. Milad Shirvaliloo | Cancer Epigenetics | Best Researcher Award 

Research Associate | Iran University of Medical Sciences | Iran

Dr. Milad Shirvaliloo is an accomplished physician–researcher specializing in epigenetics with a focus on cancer and pulmonary medicine. Holding a Doctor of Medicine and a Master of Business Administration in Health Sciences, he combines clinical expertise with research innovation to advance precision medicine. As a Postgraduate Researcher at the Finetech in Medicine Research Center, he leads studies on nanoparticle-based therapeutic interventions and their effects on histone acetylation in cancer. Dr. Shirvaliloo has authored more than forty peer-reviewed publications and a book chapter, contributing extensively to understanding molecular and epigenetic mechanisms in disease pathogenesis. His scholarly output includes first-author and single-author papers in leading journals, where he explores the roles of histone modifications, long noncoding RNAs, and nanobiosensor technologies in diagnostics and therapeutics. He has demonstrated academic leadership as an Editorial Board Member for Epigenomics and Molecular and Cellular Biochemistry and has served as a peer reviewer for over sixty high-impact journals. Recognized for his scientific excellence and editorial contributions, he has received the Best Researcher Award for his outstanding achievements in biomedical science. His ongoing work reflects a strong commitment to translational research, interdisciplinary collaboration, and mentorship of emerging scientists. With a clear vision for integrating molecular biology, nanotechnology, and clinical application, Dr. Shirvaliloo exemplifies the future of innovative medical research and continues to make significant contributions to global health advancement.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Heris, R. M., Shirvaliloo, M., Abbaspour-Aghdam, S., Hazrati, A., Shariati, A., & others. (2022). The potential use of mesenchymal stem cells and their exosomes in Parkinson’s disease treatment. Stem Cell Research & Therapy, 13(1), 371.

2. Sheervalilou, R., Shirvaliloo, M., Dadashzadeh, N., Shirvalilou, S., Shahraki, O., & others. (2020). COVID‐19 under spotlight: A close look at the origin, transmission, diagnosis, and treatment of the 2019‐nCoV disease. Journal of Cellular Physiology, 235(12), 8873–8924.

3. Aghbash, P. S., Eslami, N., Shirvaliloo, M., & Baghi, H. B. (2021). Viral coinfections in COVID‐19. Journal of Medical Virology, 93(9), 5310–5322.

4. Shirvalilou, S., Khoei, S., Esfahani, A. J., Kamali, M., Shirvaliloo, M., & others. (2021). Magnetic hyperthermia as an adjuvant cancer therapy in combination with radiotherapy versus radiotherapy alone for recurrent/progressive glioblastoma: A systematic review. Journal of Neuro-Oncology, 152(3), 419–428.

5. Razlansari, M., Jafarinejad, S., Rahdar, A., Shirvaliloo, M., Arshad, R., & others. (2023). Development and classification of RNA aptamers for therapeutic purposes: An updated review with emphasis on cancer. Molecular and Cellular Biochemistry, 478(7), 1573–1598.*

Dr. Milad Shirvaliloo’s pioneering research in epigenetics and nanomedicine bridges molecular science with clinical application, driving innovations in cancer and pulmonary disease diagnostics and therapies. His work advances precision medicine and fosters global scientific collaboration, contributing to more effective, personalized healthcare solutions.

Huan Zhang | Econometrics and Finance | Best Researcher Award

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Ms. Huan Zhang | Econometrics and Finance | Best Researcher Award

Associate Professor | Guangdong Ocean University | China

Ms. Huan Zhang is an accomplished associate professor specializing in tourism, cultural creativity, and communication studies. She has a strong academic background, holding advanced degrees in economics and labor studies, and is completing her doctoral studies in tourism and hospitality management. Over her career, she has led multiple research projects at national, provincial, and university levels, demonstrating leadership and an ability to translate research into practical impact. Her work has been recognized both academically and publicly, with reports adopted by local authorities and online courses featured on national platforms. She has published a monograph and several papers in SSCI, CSSCI, and core journals, reflecting a consistent research trajectory. Ms. Zhang also excels in mentoring students, guiding them to achieve national and provincial awards. According to Scopus, her measurable research impact includes 3 documents, 3 citations, and an h-index of 1, showcasing her growing influence in her field, with total citations at 33.

Profiles: Scopus | ORCID

Featured Publications

1. Mei, D., & Zhang, H. (2025). Impact of global tensions on commodity futures from a geopolitical risk perspective. Finance Research Letters. https://doi.org/10.1016/j.frl.2025.108605

2. Khalil, M. L., Abd Aziz, N., Long, F., & Zhang, H. (2023). What factors affect firm performance in the hotel industry post-Covid-19 pandemic? Examining the impacts of big data analytics capability, organizational agility and innovation. Journal of Open Innovation: Technology, Market, and Complexity. https://doi.org/10.1016/j.joitmc.2023.100081

Zaid Khan | Clinical Pharmacist | Young Researcher Award

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Dr. Zaid Khan | Clinical Pharmacist | Young Researcher Award

Zaid Khan | Aditya Bangalore Institute of Pharmacy Education and Research | India

Dr. Zaid Khan is a dedicated and emerging researcher in pharmaceutical sciences with a Doctor of Pharmacy background. He has gained valuable clinical and research experience through internships in reputed hospitals and research institutions, where he contributed to projects involving antibiotic prophylaxis, medication therapy management, and pain management. His work demonstrates strong analytical, clinical, and research design skills, complemented by effective communication and patient counseling abilities. Dr. Khan has published and presented research at national and international platforms and actively engages in professional development through workshops and conferences. His achievements, including recognition as a Young Researcher Award recipient, reflect his commitment to advancing clinical pharmacy and drug safety practices. With a strong interest in bridging research and clinical application, Dr. Khan aspires to contribute to innovative therapeutic strategies, pharmacovigilance, and evidence-based healthcare, positioning himself as a promising professional in the evolving field of pharmaceutical research.

Profiles: Google Scholar | ORCID

Featured Publications

1. Khan, Z., Krishna, D., Daga, S., Rastogih, N., Rekha, M., & Patel, K. (2023). Advancements in minimally invasive surgery: A comprehensive analysis of robotic surgery, endoscopic techniques, and natural orifice translumenal endoscopic surgery. Georgian Medical News, 87–92.

2. Khan, Z., Rekha, M. M., Hiremath, S. R. R., & Shapur, S. R. (2025). A comprehensive study on antibiotic prophylaxis practices across diverse surgical modalities. Journal of Pharmaceutical Care, 93–100.

3. Khan, Z., Ramya, C. V., PR, D. S., & Vishwanath, B. A. (2025). Development and computational analysis of polyherbal chewable lozenges for effective management of mouth and throat infections. Palestinian Medical and Pharmaceutical Journal.

4. Khan, Z. (2024). A case report of advanced periampullary carcinoma: Palliative chemotherapy following Whipple’s surgery. Research & Reviews: Journal of Oncology and Hematology, 13.

5. Zaid, K., & Khan, Z. (2023). Beyond chemotherapy: The promise of immunotherapy in cancer care and advancements in cancer therapy. Research & Reviews: A Journal of Immunology, 13(2), 22–37.

Abdullah Al Nahian | Data Analyst | Best Research Article Award

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Mr. Abdullah Al Nahian | Data Analyst | Best Research Article Award

Healthcare Data Analyst at Children’s Clinic of Michigan, United States

Mr. Abdullah Al Nahian is a dedicated professional and researcher with a strong background in data analytics, computer science, and information systems. His career spans diverse roles including data analyst, network engineer, software developer, and project coordinator, where he has consistently demonstrated expertise in data analysis, system optimization, and project management. Academically, he holds advanced education in information studies and computer science, complemented by certifications in project management, cybersecurity, and database systems. His research contributions focus on impactful areas such as predictive modeling for healthcare outcomes, machine learning applications in cancer stage classification, and neural network-based recognition systems, which have been published in reputable scientific platforms. Abdullah’s work bridges technical innovation with practical applications, particularly in healthcare and information technology, underscoring his ability to contribute solutions to real-world challenges. His combination of academic rigor, technical expertise, and professional experience highlights him as a promising researcher and thought leader in his field.

Professional Profile 

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Education

Mr. Abdullah Al Nahian has built a strong academic foundation that supports his career in technology and research. He earned his Bachelor of Science in Computer Science and Engineering from the University of Liberal Arts Bangladesh, where he developed core knowledge in programming, software development, and system design. To further strengthen his expertise, he pursued a Master of Science in Information Studies at Trine University, Detroit, with a focus on data analytics, information systems, and applied research. His academic journey has been complemented by professional certifications, including Project Management Professional (PMP), Advanced Database, and Cybersecurity, which add specialized knowledge to his technical profile. This combination of formal education and certifications demonstrates his commitment to continuous learning and skill development. By bridging theoretical understanding with practical applications, his educational background provides a strong base for his professional roles and impactful research contributions in data science, healthcare analytics, and machine learning.

Experience

Mr. Abdullah Al Nahian brings extensive professional experience across multiple domains of information technology, data analysis, and project management. Currently working as a Data Analyst at the Children’s Clinic of Michigan, he specializes in gathering, securing, and analyzing healthcare data to improve patient outcomes and operational efficiency. His previous roles include Assistant Coordinator at Polock Group BD, Network Engineer and Assistant Manager at Agni Systems Ltd., and Software Developer at NKSoft BD. Across these roles, he developed expertise in network engineering, customer support, ERP systems, project coordination, and administrative leadership. His career began with web development, gradually expanding to more advanced responsibilities involving data-driven decision-making, system monitoring, and organizational leadership. This progression highlights his adaptability and growth across technical and managerial domains. Additionally, his volunteer work as an IT Specialist further demonstrates his dedication to using technology for organizational improvement and staff empowerment. Collectively, his diverse experience reflects both technical mastery and leadership capability.

Research Focus

Mr. Abdullah Al Nahian’s research focuses on the intersection of data science, healthcare, and machine learning, reflecting both technical innovation and practical significance. His work includes developing predictive models to optimize healthcare outcomes, leveraging data-driven insights to improve patient care and resource management. He has also co-authored research on cancer stage classification using numerical biomarker data, showcasing the role of artificial intelligence in advancing medical diagnosis. Beyond healthcare, his contributions extend to neural network-powered recognition systems, such as automated license plate detection, and in-depth studies on project management and visualization techniques. His approach emphasizes applying computational methods to solve real-world problems, combining theoretical rigor with practical utility. Through his publications in recognized scientific platforms, he demonstrates a commitment to advancing knowledge in applied machine learning, data analytics, and information systems. His research is notable for addressing global challenges in healthcare and technology, bridging academic inquiry with societal impact.

Award and Honor

Mr. Abdullah Al Nahian has established himself as a promising researcher whose academic and professional achievements make him a strong candidate for recognition. His research contributions, published in respected scientific journals and platforms, reflect innovation and applicability in critical domains such as healthcare analytics, artificial intelligence, and project management. Co-authoring multiple peer-reviewed publications within a short period demonstrates his dedication to scholarly excellence and collaborative research. His academic journey, complemented by certifications in project management and cybersecurity, highlights his commitment to professional growth and expertise. In professional settings, he has consistently been recognized for leadership, technical problem-solving, and delivering solutions that improve organizational performance. While his portfolio primarily emphasizes research and professional contributions, his trajectory indicates strong potential for continued recognition through awards that honor innovation, interdisciplinary impact, and societal value. His blend of academic, research, and professional accomplishments positions him as a valuable contributor deserving of future honors.

Publications Top Notes

  • Title: Optimizing Healthcare Outcomes through Data-Driven Predictive Modeling
    Authors: MNM Sunny, MBH Saki, A Al Nahian, SW Ahmed, MN Shorif, J Atayeva, …
    Year: 2024
    Citations: 33

  • Title: Project Management and Visualization Techniques A Details Study
    Authors: MNM Sunny, MBH Sakil, A Al
    Year: 2024
    Citations: 24

  • Title: Neural Network-Powered License Plate Recognition System Design
    Authors: S Hasan, MNM Sunny, A Al Nahian, M Yasin
    Year: 2024
    Citations: 19

  • Title: Classification of Cancer Stages Using Machine Learning on Numerical Biomarker Data
    Authors: MNM Sunny, MM Amin, MH Akter, KMS Hossain, A Al Nahian, J Atayeva
    Year: 2024
    Citations: 3

  • Title: Optimizing Prescription Practices Using AI-Powered Drug Substitution Models to Reduce Unnecessary Healthcare Expenditures in Outpatient Settings
    Authors: A Al Nahian, S Samia, MTM Hussan, F Mahmud, MNM Sunny, SW Ahmed, …
    Year: 2025

  • Title: A Critical Review of Network Management Tools and Technologies in the Digital Age
    Authors: AAN Zakia Sultnana Munmun, Md Minhajul Amin, K M Shihab Hossain
    Year: 2024

Conclusion

Mr. Abdullah Al Nahian’s research portfolio demonstrates a consistent focus on applying data-driven approaches and machine learning techniques to solve critical challenges in healthcare, project management, and technology systems. His publications reflect both academic rigor and practical relevance, particularly in predictive healthcare modeling, cancer diagnosis, and AI-powered optimization solutions. The diversity of his work, ranging from network technologies to medical applications, highlights his ability to bridge interdisciplinary fields and contribute meaningful innovations. With multiple citations already attributed to his recent publications, his research is gaining recognition and impact in the academic community. His role as co-author in several high-quality studies also emphasizes strong collaboration skills and commitment to advancing collective knowledge. Overall, his contributions position him as a capable and promising researcher whose work holds significant value for both academic advancement and real-world problem-solving.

Muhammad Bakhsh | Vaccine | Best Researcher Award

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Mr. Muhammad Bakhsh | Vaccine | Best Researcher Award

Post Graduate Student at Jeonbuk National University (JBNU), South Korea

Muhammad Bakhsh is a passionate veterinary researcher from Pakistan, deeply engaged in the fields of microbiology, virology, and public health. With a Doctor of Veterinary Medicine (DVM) from the University of Veterinary and Animal Sciences (UVAS), Lahore, he has cultivated both academic depth and practical experience in veterinary sciences. Currently serving as a Master Trainer at UVAS’s Para Veterinary Institute, he is actively involved in teaching, clinical supervision, and laboratory diagnostics. He also serves on the editorial boards of several scientific publications and is a reviewer for an international veterinary journal. Muhammad has contributed to multiple peer-reviewed publications, book chapters, and conference proceedings. Beyond academia, he is a strong advocate of the One Health concept, bridging animal and human health research. His dedication, collaborative mindset, and early achievements mark him as a rising contributor to Pakistan’s veterinary and public health sectors.

Professional Profile 

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Education 

Muhammad Bakhsh earned his Doctor of Veterinary Medicine (DVM) from the University of Veterinary and Animal Sciences (UVAS), Lahore, where he developed strong foundations in veterinary microbiology, immunology, epidemiology, and animal breeding. His academic training included rigorous coursework and clinical rotations in disease diagnostics, treatment, and prevention. Throughout his studies, Muhammad showed keen interest in zoonotic disease control, food safety, and animal welfare, which shaped his later research focus. In addition to his formal veterinary degree, he has completed multiple international certifications and online courses on topics such as antimicrobial resistance, sustainable food production, animal welfare, and biosafety from institutions like the University of Illinois, DTU Denmark, and the University of Edinburgh. These supplementary trainings have enhanced his global perspective on public and animal health issues. His education reflects a balanced blend of technical veterinary knowledge, public health awareness, and research capability across multiple disciplines.

Experience

Muhammad Bakhsh has built a versatile portfolio of academic, clinical, and research experiences. Currently, he serves as a Master Trainer at the Para Veterinary Institute (PVI) under the University of Veterinary and Animal Sciences (UVAS), where he delivers lectures for diploma courses, supervises veterinary hospital activities, and engages in laboratory diagnostics. He also worked as a Research Volunteer, contributing to seroprevalence studies on zoonotic infections like Toxoplasma gondii in goats. Earlier, he served as the Scientific Research Head of a veterinary academic club, helping peers with research writing and thesis development. His editorial and peer review work with The Veterinary News and Views and Acta Scientific Veterinary Sciences highlights his academic credibility. He has actively participated in national and international conferences, presented abstracts, and contributed to public health education through extension articles. His diverse experience reflects strong teaching, diagnostic, and scientific communication capabilities.

Awards and Honors

Muhammad Bakhsh has received multiple recognitions throughout his academic and professional journey. Notably, he secured first position in the Chief Minister’s Essay Writing Competition at the divisional level, awarded by the Government of Punjab, reflecting his early promise in scientific communication. His contributions to student leadership in public health were acknowledged in a national initiative by the U.S. Mission Pakistan and Pak-US Alumni Network. His editorial and review positions with scientific journals also signify recognition by the broader academic community. In addition, he has participated in high-profile international workshops and virtual veterinary conferences, further solidifying his academic footprint. These honors reflect his multifaceted abilities—not only as a researcher but also as an effective communicator, mentor, and advocate for One Health. Through continuous professional development and scholarly contribution, Muhammad Bakhsh has earned respect within both veterinary and public health networks across Pakistan and South Asia.

Research Focus on Vaccine

Muhammad Bakhsh’s research focuses on zoonotic diseases, veterinary microbiology, antimicrobial resistance, and public health. His work includes seroprevalence and molecular studies on pathogens like Toxoplasma gondii, Trypanosoma evansi, and Campylobacter, with emphasis on detection, epidemiology, and therapeutic interventions. He has contributed to studies exploring the role of fish in global food security, the efficacy of zinc nanoparticles in wound healing, and alternatives to antibiotics in poultry health. His approach integrates lab-based diagnostics with field-based data collection, reflecting a holistic understanding of disease control. Muhammad is particularly aligned with the One Health approach, advocating for the interconnected health of animals, humans, and the environment. He is also involved in research communications, authoring extension articles that translate complex scientific ideas into public awareness. His vision centers on using research to improve food safety, reduce disease burdens, and contribute to sustainable livestock health management in Pakistan and beyond.

Publications Top Notes

  • Title: An overview of bovine cystic ovarian disease
    Authors: A. Channo, A. Kaka, Q. Kalwar, I. Jamali, G. Jelani, M. Bakhsh, G.N. Dahri, et al.
    Year: 2022
    Citations: 15

  • Title: Effect of soybean milk and tris egg yolk based extender on semen quality parameters of Tharparkar bull
    Authors: A.S. Memon, A. Kaka, A. Channo, M. Bakhsh, Q. Kalwar, A. Sethar
    Year: 2022
    Citations: 7

  • Title: Molecular detection and therapeutic study of Trypanosoma brucei evansi from naturally infected horses in Punjab, Pakistan
    Authors: J. Zahoor, M. Kashif, A. Nasir, M. Bakhsh, M.F. Qamar, A. Sikandar, A. Rehman
    Year: 2022
    Citations: 6

  • Title: The Role of Fish in Global Food and Nutrition Security: Current Aspects and Future Prospect
    Authors: M. Bakhsh, M.H. Ghazali, M.K. Yar, A. Channo, M. Kashif, M. Ijaz, et al.
    Year: 2023
    Citations: 5

  • Title: Comparison of the effect of zinc oxide nanoparticles and extract of Acorus calamus applied topically on surgical wounds inflicted on the skin of rabbits
    Authors: A. Abbas, S.A. Muhammad, A. Ashar, S.A. Mehfooz, A. Rauf, M. Bakhsh, et al.
    Year: 2023
    Citations: 5

  • Title: Camel meat production, consumption and nutritive value: Present status and future prospects
    Authors: M.H. Ghazali, M. Bakhsh, U. Zainab, A. Faraz, M.U. Munir, A. Channo, et al.
    Year: 2023
    Citations: 5

  • Title: Sero-epidemiology, therapeutic study and the risk factors associated with Trypanosomiasis (Surra) in camels in District Jhang, Punjab, Pakistan
    Authors: J. Zahoor, M. Kashif, A. Nasir, M. Bakhsh, A.U. Rehman, A. Sikandar, et al.
    Year: 2023
    Citations: 3

  • Title: Post Thawed Quality of Tharparkar Bull Semen Extended in Bioxcell™ and Tris-Based Egg Yolk Extenders Supplemented with Vitamin E (α-Tocopherol)
    Authors: A. Channo, A. Kaka, A.A. Memon, M. Chand, M.B. Malhi, Q. Kalwar, S.A. Tunio, M. Bakhsh, et al.
    Year: 2023
    Citations: 3

Conclusion

Muhammad Bakhsh exemplifies the qualities of an impactful early-career researcher in veterinary and public health sciences. His contributions span peer-reviewed publications, public health outreach, laboratory diagnostics, and academic training. With a growing citation record and experience across zoonotic disease surveillance, antimicrobial resistance, and animal welfare, he demonstrates a balanced blend of scientific inquiry and real-world application. His active roles in editorial boards, teaching, and international workshops reflect both academic recognition and leadership potential. While still at the early stages of his career, his research direction aligns well with global priorities like One Health, food safety, and sustainable livestock practices. Continued specialization, international collaboration, and lead authorship will further elevate his research standing. Overall, Muhammad Bakhsh is a promising and dedicated researcher whose work is already contributing meaningfully to science and society—and he is well on track to becoming a leader in the veterinary research community.

Yoana Dyankova | Medicine and Dentistry | Best Researcher Award

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Dr. Yoana Dyankova | Medicine and Dentistry | Best Researcher Award

Doctor at Medical University, Varna, Bulgaria

Dr. Yoana Dyankova Dyankova is a dedicated pediatrician and clinical researcher specializing in pediatric gastroenterology, hepatology, and nutrition. She holds a PhD in Pediatrics from the Medical University “Prof. Dr. Paraskev Stoyanov” in Varna, Bulgaria, where she also serves in the Pediatric Intensive Care Unit at St. Marina University Hospital. Her research focuses primarily on celiac disease in children, particularly its impact on bone health, as demonstrated in her dissertation and multiple peer-reviewed publications, including a recent article in Nutrients (2025). Dr. Dyankova is an active member of national pediatric and gastroenterology associations and contributes to both clinical care and academic development. Fluent in English and German, she engages with the international scientific community and remains committed to translating research into improved patient outcomes. With her growing publication record, clinical integration, and academic rigor, she stands out as a promising young researcher in the field of pediatric medicine.

Professional Profile 

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ORCID Profile 

Education

Dr. Yoana Dyankova Dyankova began her academic journey at the Vasil Drumev High School of Natural Sciences and Mathematics in Veliko Tarnovo, graduating in 2010. She pursued her medical degree at the Medical University “Prof. Dr. Paraskev Stoyanov” in Varna, Bulgaria, completing it in 2016. From 2017 to 2022, she specialized in pediatrics, gaining comprehensive clinical training and board certification in the field. In 2018, she enrolled in a PhD program in Pediatrics at the same university, where she focused her research on celiac disease and its effects on pediatric bone health. She successfully defended her dissertation in 2023. Dr. Dyankova has since continued to develop professionally by pursuing further specialization in pediatric gastroenterology starting in July 2025. Her academic path demonstrates strong commitment, discipline, and a focused interest in improving pediatric healthcare through both clinical practice and rigorous scientific research.

Professional Experience

Dr. Dyankova has cultivated a balanced career combining clinical excellence and academic growth. Since January 2022, she has served as a pediatrician at the Pediatric Intensive Care Unit (PICU) of the First Children’s Clinic, St. Marina University Hospital in Varna. Her role in the PICU places her at the frontline of managing critically ill children, often requiring advanced decision-making and teamwork in high-pressure situations. Prior to this, she completed a five-year pediatric residency, gaining hands-on experience in general pediatrics. Her transition into the subspecialty of pediatric gastroenterology as of July 2025 marks a strategic shift aligned with her research interests. Parallel to her clinical duties, Dr. Dyankova was engaged in doctoral studies for five years, conducting original research and contributing to academic publications. Her dual role as both a clinician and researcher enhances her ability to apply scientific findings directly to patient care, making her a valuable asset in modern pediatric medicine.

Research Interest

Dr. Dyankova’s primary research interests lie at the intersection of pediatric gastroenterology, hepatology, and nutrition, with a concentrated focus on celiac disease (CD). Her doctoral thesis explored bone health in children with CD, addressing the metabolic and developmental complications arising from malabsorption and chronic inflammation. Beyond celiac disease, she has expressed research interest in related gastrointestinal disorders such as inflammatory bowel disease (IBD), as well as broader issues within pediatric intensive care. Her work is characterized by clinical relevance and translational value, aiming to bridge the gap between scientific research and bedside care. Publications in both national and international journals reflect her dedication to improving diagnostic and treatment protocols in children with chronic gastrointestinal conditions. Dr. Dyankova continues to build her research portfolio by participating in collaborative studies, focusing on early diagnosis, nutritional interventions, and long-term management outcomes in affected pediatric populations, ensuring a direct impact on clinical practice.

Award and Honor

While specific named awards are not listed in the biography, Dr. Yoana Dyankova Dyankova has received notable academic and professional recognition through her successful completion of a PhD and multiple scientific publications. Her research has been published in reputable journals such as Nutrients, indicating peer validation and relevance of her work. She is an active member of the National Pediatric Association and the community of Pediatric Gastroenterologists in Bulgaria, reflecting her standing in the professional community. These memberships signify not only recognition by peers but also her continued contribution to scientific discussions and advancements in pediatric healthcare. Her role in high-stakes clinical environments like the Pediatric Intensive Care Unit further demonstrates trust in her medical competence and decision-making. With growing academic output and clear specialization in a crucial field, Dr. Dyankova is well-positioned to earn future distinctions and leadership roles in pediatric research and clinical practice at both national and international levels.

Conclusion

Dr. Yoana Dyankova Dyankova exemplifies the qualities of a dedicated clinician-scientist, balancing hands-on pediatric care with high-impact academic research. With a solid foundation in pediatrics and a focused interest in gastroenterology and nutrition, she has steadily advanced her career through both clinical excellence and scholarly contribution. Her doctoral work on bone health in children with celiac disease highlights her ability to address complex, real-world health challenges through evidence-based research. Now working in a pediatric intensive care setting and continuing her subspecialty training, Dr. Dyankova is expanding her expertise and influence in critical areas of child health. Her publications, professional affiliations, and academic achievements underscore a deep commitment to the advancement of pediatric medicine. While still early in her career, her trajectory suggests strong potential for leadership in research and healthcare. She is a promising candidate for recognition such as the Best Researcher Award and is well-poised for continued professional impact.

Publications Top Notes

  1. Title: Presentation of Childhood Newly-Diagnosed Diabetes During the COVID-19 Pandemic – Is There a Change?

    • Authors: Y. Bazdarska, V. Iotova, T. Karamfilova, Y. Dyankova, T. Stefanova, …

    • Journal: Diabetes Technology & Therapeutics, Vol. 23, A202

    • Year: 2021

  1. Title: Delayed Bone Age and Osteoprotegerin Levels in Pediatric Celiac Disease: A Three-Year Case–Control Study

    • Authors: R. Pancheva, Y. Dyankova, N. Rasheva, K. Koleva, V. Iotova, M. Dzhogova, M. Fiore, M. Georgieva

    • Journal: Nutrients, Vol. 17 (14), Article 2295

    • Year: 2025

  1. Title: Macrophage Activation Syndrome After COVID-19 Infection in a Patient with Systemic Juvenile Idiopathic Arthritis

    • Authors: M. Boyadzhiev, B. Varbanova, M. Belcheva, P. Shivachev, D. Krumova, Y. Dyankova, …

    • Journal: Scripta Scientifica Medica, Vol. 55(1), pp. 27–31

    • Year: 2023

  1. Title: Bone Health in Children with Celiac Disease (PhD Dissertation)

    • Author: Y. Dyankova

    • Database: PQDT-Global (ProQuest Dissertations)

    • Year: 2022

  1. Title: New Developments in the Diagnostics of Celiac Disease in Children

    • Authors: Y. Dyankova, M. Georgieva, N. Rasheva, K. Koleva

    • Journal: Journal of the Union of Scientists-Varna. Medicine and Ecology Series, Vol. 24(1)

    • Year: 2019

  1. Title: Bacterial Pulmonary Colonization with Pseudomonas aeruginosa in Cystic Fibrosis Patients

    • Authors: M. Nikolova, Y. Dyankova, I. Hristov, M. Georgieva

    • Journal: Izvestia Journal of the Union of Scientists-Varna. Medicine and Ecology Series

    • Year: 2019

Dr. Zeinab Shahbazi | Computer Science | Best Researcher Award

Published on by World Top Scientists

Dr. Zeinab Shahbazi | Computer Science | Best Researcher Award

Senior Lecturer at Kristianstad University, Sweden

Dr. Zeinab Shahbazi is an accomplished researcher specializing in Reinforcement Learning, Deep Learning, Natural Language Processing, Blockchain, and Knowledge Discovery. With a Ph.D. in Computer Engineering from Jeju National University, South Korea, she has over eight years of research experience in AI and data-driven technologies. Dr. Shahbazi has held postdoctoral positions in Spain and Sweden and is currently a Senior Lecturer in AI at Kristianstad University. Her research focuses on enhancing state-of-the-art architectures and developing innovative solutions in software-based intelligent systems. She has been recognized with several academic awards, including a Presidential Award and Best Paper Presentation honors. Fluent in multiple languages and technically skilled in programming and data systems, she actively contributes as a reviewer for high-impact journals. Her international collaborations and funded research projects reflect her commitment to advancing AI applications. Dr. Shahbazi is a dedicated and forward-thinking researcher making significant contributions to the field of computer science.

Professional Profile 

Google Scholar

Education

Dr. Zeinab Shahbazi holds a Ph.D. in Computer Engineering from Jeju National University, South Korea, where she completed her dissertation on cryptocurrency price prediction using blockchain frameworks, graduating with an impressive CGPA of 4.32/4.5. She also earned a Master’s degree in Computer Engineering from Chonbuk National University, Korea, with a thesis on deep learning techniques for paragraph focus analysis. Her foundational education includes a Bachelor’s degree in Computer Engineering from Pooyesh University in Iran. Throughout her academic journey, she received several scholarships and honors, reflecting her consistent academic excellence. Her education has been firmly rooted in AI, software systems, and intelligent technologies, providing her with a robust theoretical and practical grounding. This strong academic background has played a pivotal role in shaping her as a multidisciplinary researcher with global exposure, capable of addressing complex problems in AI and data science with both depth and innovation.

Professional Experience

Dr. Zeinab Shahbazi has accumulated diverse international professional experience in research and academia. She is currently a Senior Lecturer in Artificial Intelligence at Kristianstad University, Sweden. Prior to this, she held postdoctoral researcher positions at Halmstad University in Sweden and at the BCN-AIM Lab at the University of Barcelona in Spain. Her work has consistently focused on applied AI, reinforcement learning, and blockchain-based systems. Dr. Shahbazi has also led and participated in international research collaborations, notably securing a Vinnova-funded international staff exchange project with a partner institution in South Korea. Her career path showcases her ability to transition between theoretical research and practical implementations, including experience in advanced programming, system architecture, and AI model development. These roles have enabled her to contribute to both the academic and industrial applications of intelligent technologies, while also strengthening her leadership and mentoring capabilities in multidisciplinary, multicultural environments.

Research Interest

Dr. Zeinab Shahbazi’s research interests are deeply rooted in intelligent computing systems, with a focus on Reinforcement Learning, Deep Learning, Natural Language Processing (NLP), Blockchain, Knowledge Discovery, and their integration within modern technological ecosystems such as IoT, edge computing, and big data platforms. Her core research ambition lies in improving existing AI models and architectures, addressing their limitations, and introducing novel components to enhance performance and applicability. She has made notable contributions to the software aspects of AI, particularly through her work on knowledge-driven systems and blockchain-based data prediction. Dr. Shahbazi combines theoretical advancements with practical implementations, bridging the gap between academic research and real-world applications. Her multidisciplinary focus reflects a keen interest in innovation, system integration, and cross-domain problem-solving. This makes her work highly relevant to both academic audiences and industry stakeholders interested in deploying intelligent, data-driven systems for practical and scalable use.

Award and Honor

Dr. Zeinab Shahbazi has received multiple awards and honors in recognition of her academic excellence and research contributions. During her Ph.D. at Jeju National University, she was awarded the prestigious Presidential Award for distinguished research publications. She also received a university research grant in 2021 for her outstanding output during 2019–2020. Earlier in her academic career, she was a recipient of the BK government scholarship and multiple semester-based scholarships during her Master’s studies at Chonbuk National University. Her early academic promise was also recognized with a government-funded scholarship during her undergraduate studies in Iran. Additionally, she won the Best Paper and Presentation Award at the ITEC Conference in 2019, further solidifying her reputation in the research community. These honors demonstrate a consistent trajectory of excellence, reflecting both the quality and impact of her research work, as well as her ability to compete and stand out in international academic environments.

Conclusion

Dr. Zeinab Shahbazi exemplifies a dynamic and impactful researcher in the field of computer science, particularly in AI, machine learning, and data-driven systems. Her strong educational background, diverse international research experience, and cross-disciplinary expertise make her a well-rounded academic and innovator. Her ability to secure research funding, collaborate internationally, and publish high-quality work underlines her potential for long-term academic leadership. Recognized through various awards and honors, she has demonstrated excellence not only in individual performance but also in contributing to the broader scientific community through peer review and collaboration. Fluent in multiple languages and culturally adaptive, Dr. Shahbazi brings global perspective and technical depth to every role she undertakes. With a forward-thinking mindset and a commitment to advancing the state of AI, she stands as a strong candidate for high-level recognitions such as the Best Researcher Award and is poised to continue making meaningful contributions to academia and beyond.

Publications Top Notes

  • Title: Integration of blockchain, IoT and machine learning for multistage quality control and enhancing security in smart manufacturing
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2021
    Citations: 187

  • Title: A procedure for tracing supply chains for perishable food based on blockchain, machine learning and fuzzy logic
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2020
    Citations: 140

  • Title: Towards a secure thermal-energy aware routing protocol in wireless body area network based on blockchain technology
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2020
    Citations: 123

  • Title: Smart manufacturing real-time analysis based on blockchain and machine learning approaches
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2021
    Citations: 72

  • Title: Toward improving the prediction accuracy of product recommendation system using extreme gradient boosting and encoding approaches
    Authors: Z. Shahbazi, D. Hazra, S. Park, Y.C. Byun
    Year: 2020
    Citations: 68

  • Title: Improving transactional data system based on an edge computing–blockchain–machine learning integrated framework
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2021
    Citations: 64

  • Title: Product recommendation based on content-based filtering using XGBoost classifier
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2019
    Citations: 64

  • Title: Agent-based recommendation in E-learning environment using knowledge discovery and machine learning approaches
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2022
    Citations: 63

  • Title: Fake media detection based on natural language processing and blockchain approaches
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2021
    Citations: 63

  • Title: Improving the cryptocurrency price prediction performance based on reinforcement learning
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2021
    Citations: 60

  • Title: Machine learning-based analysis of cryptocurrency market financial risk management
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2022
    Citations: 58

  • Title: Lithium-ion battery estimation in online framework using extreme gradient boosting machine learning approach
    Authors: S. Jafari, Z. Shahbazi, Y.C. Byun, S.J. Lee
    Year: 2022
    Citations: 58

  • Title: Blockchain-based event detection and trust verification using natural language processing and machine learning
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2021
    Citations: 51

  • Title: Knowledge discovery on cryptocurrency exchange rate prediction using machine learning pipelines
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2022
    Citations: 42

  • Title: Lithium-ion battery health prediction on hybrid vehicles using machine learning approach
    Authors: S. Jafari, Z. Shahbazi, Y.C. Byun
    Year: 2022
    Citations: 36

Milind Cherukuri | Computer Science | Young Researcher Award

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Mr. Milind Cherukuri | Computer Science | Young Researcher Award

Salesforce Business Analyst & Administrator at University of North Texas, United States

Milind Cherukuri is a dynamic early-career researcher and technologist with a strong foundation in artificial intelligence, machine learning, and software engineering. With a Master’s in Computer Science from the University of North Texas, he has applied his expertise across leading organizations such as Caris Life Sciences, Amazon, and Infor. His research spans sentiment analysis, AI safety, LLM prompt engineering, and image segmentation, resulting in five peer-reviewed publications and presentations at major conferences like IEEE AI Summit and EEET 2024. Milind has a proven ability to translate research into real-world impact, particularly in healthcare, where he optimized clinical systems through AI-driven automation and data integration. Recognized as a Senior Member of IEEE in 2025, he actively contributes to the research community through peer review and technical leadership. His innovative mindset, technical depth, and cross-domain contributions position him as a strong candidate for the Young Researcher Award.

Professional Profile

Google Scholar

Education

Milind Cherukuri holds a Master’s degree in Computer Science from the University of North Texas, where he deepened his expertise in artificial intelligence, data science, and advanced software systems. Prior to that, he earned his Bachelor’s degree in Computer Science from SRM University, Chennai, India. His academic journey reflects a consistent focus on technical excellence, with coursework and projects covering machine learning, sentiment analysis, and cloud computing. During his graduate studies, Milind engaged in applied research initiatives and honed his skills in experimental design, statistical analysis, and academic writing. He leveraged these experiences to produce scholarly work and effectively bridge theory with practice. His education provided a strong foundation for multidisciplinary research, particularly in AI-driven applications across healthcare and enterprise environments. The blend of technical depth and research exposure during his formative academic years has directly influenced his ability to contribute meaningfully to both industrial innovation and scientific advancement.

Professional Experience

Milind Cherukuri’s professional journey spans prominent roles at Caris Life Sciences, Amazon, and Infor, reflecting a robust blend of research, software development, and systems integration experience. At Caris Life Sciences, he currently serves as a Salesforce Business Analyst and Administrator, where he leads automation, healthcare data integration, and clinical research optimizations. His work has directly impacted clinical decision-making by aligning technology with operational and regulatory needs. At Amazon, he developed scalable microservices, optimized APIs, and applied AI insights to enhance customer experience and personalization. Prior to that, at Infor in India, Milind supported legacy modernization and contributed to internal research on sentiment analysis and recommendation systems. Across these roles, he demonstrated an ability to innovate at scale while contributing to internal research pipelines and tool development. His hands-on experience across cloud platforms, AI tools, and enterprise software showcases a rare ability to move seamlessly between engineering execution and applied research.

Research Interest

Milind Cherukuri’s research interests lie at the intersection of artificial intelligence, machine learning, sentiment analysis, and safe AI deployment. He is passionate about building explainable, reliable, and application-driven AI systems that serve real-world domains such as healthcare, e-commerce, and cloud ecosystems. His work focuses on areas like multi-dimensional emotion representation, AI safety frameworks for large language models, and optimization techniques for prompt engineering. Milind is particularly interested in how AI can be made more context-aware, ethically responsible, and efficient when integrated into critical infrastructure. His research explores both the theoretical underpinnings of AI algorithms and their translation into user-centric applications. He uses tools such as TensorFlow, scikit-learn, Databricks, and Keras for prototyping and experimentation. Milind’s commitment to conducting reproducible and impactful research is evident through his multiple peer-reviewed publications and active participation in academic peer review and conference presentations.

Award and Honor

Milind Cherukuri has received several accolades that underscore his excellence in both research and professional performance. In 2025, he was elevated to the grade of Senior Member of IEEE, recognizing his significant contributions to engineering and AI research at a relatively early stage in his career. He has authored five peer-reviewed publications across reputable venues and conferences, including IEEE AI Summit and EEET 2024. His work has been cited in discussions on AI safety and ethics, especially regarding GPT-5 development strategies. Within industry roles, Milind earned recognition for developing fault-tolerant systems at Amazon and for improving automation workflows at Caris Life Sciences, boosting operational efficiency by over 30%. He has also contributed as a peer reviewer for research journals, enhancing his engagement with the broader scientific community. These honors reflect a balanced profile of innovation, leadership, and commitment to advancing technology responsibly and effectively.

Conclusion

Milind Cherukuri embodies the qualities of a forward-thinking, multidisciplinary researcher who bridges the worlds of academia and industry with exceptional skill. His educational foundation, professional achievements, and focused research trajectory demonstrate a rare combination of depth and adaptability. From developing scalable software at Amazon to integrating AI solutions in clinical workflows at Caris Life Sciences, he has consistently shown the ability to convert research insights into real-world impact. Milind’s publications, IEEE recognition, and conference engagements highlight his dedication to advancing AI in safe, ethical, and application-driven ways. His involvement in peer review and technical documentation further signals his readiness to contribute to and shape the global research landscape. With a passion for innovation, a track record of scholarly contributions, and strong industry credibility, Milind stands out as a compelling candidate for honors such as the Young Researcher Award, and is poised for continued impact in the field of computer science and artificial intelligence.

Publications Top Notes

  • Title: Comparing Image Segmentation Algorithms
    Author: M. Cherukuri
    Year: 2024
    Citations: 3

  • Title: Cost, Complexity, and Efficacy of Prompt Engineering Techniques for Large Language Models
    Author: M. Cherukuri
    Year: 2025
    Citations: 1

  • Title: WebChecker: A Versatile EVL Plugin for Validating HTML Pages with Bootstrap Frameworks
    Author: M. Cherukuri
    Year: 2025
    Citations: 1

  • Title: Advancing AI Safely: Frameworks and Strategies for the Development of GPT-5 and Beyond
    Author: M. Cherukuri
    Year: 2025
    Citations: 1

  • Title: Exploring Multi-Dimensional Sentiment Analysis: A Study on Emotion Representation Structures and Prediction Models
    Author: M. Cherukuri
    Year: 2024