Collince Ogolla | Hematology | Research Excellence Award

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Mr. Collince Ogolla | Hematology | Research Excellence Award

Mr. Collince Ogolla | Hematology | Lecturer at Kisii University | Kenya

Hematology stands at the forefront of global medical advancement, and within this important field, Mr. Collince Ogolla has built a strong professional identity as a Medical Laboratory Scientist, researcher, and public health specialist dedicated to improving healthcare outcomes in Kenya and beyond. Mr. Collince Ogolla’s journey demonstrates academic brilliance, clinical competence, research depth, and public health leadership. He holds four progressive degrees including a Bachelor of Science in Medical Laboratory Science, a Master of Science in Hematology and Blood Transfusion, a Master of Public Health specializing in Epidemiology and Population Health, and is currently pursuing a PhD in Biomedical Sciences (Hematology and Blood Transfusion) at Kisii University. This solid academic background merges his strong hematology foundations with applied skills in disease surveillance and health systems. Professionally, Mr. Collince Ogolla brings extensive laboratory experience, excelling in hematology diagnostics, clinical chemistry, serology, microbiology, parasitology, and transfusion medicine, while demonstrating expertise in laboratory quality systems including ISO 15189 quality assurance, internal and external quality assessment, equipment management, biosafety measures, infection prevention, and laboratory governance. His interest in Hematology extends into advanced research involving chronic kidney disease biomarkers, blood parameters, inflammation pathways, Vitamin D deficiency, thrombosis, and immunological responses, while also engaging in epidemiological studies addressing environmental pollution, public health education, and non-communicable disease prevention. His research skills include sample collection, laboratory processing, statistical reporting, REDCap data management, OpenMRS analysis, report writing, and laboratory information systems. Beyond clinical research, he also demonstrates academic excellence as a university instructor, contributing to curriculum development, practical laboratory instruction, student evaluation, and academic mentorship. Mr. Collince Ogolla further enhances his multidisciplinary scope through professional certifications, including Project Management in Global Health, Monitoring and Evaluation, Leadership and Management in Health, Data Science, and Biorisk Management. His leadership qualities are reflected in strategic planning, project execution, stakeholder collaboration, laboratory efficiency oversight, and evidence-based health policy contributions. He has earned recognition for academic integrity, analytical depth, teamwork, and strong communication within collaborative scientific environments. His honors include peer recognition for hematology research, national-level student academic achievements, and contributions to public health improvement projects. In conclusion, Mr. Collince Ogolla stands as an emerging expert in Hematology, combining biomedical science, public health, clinical diagnostics, teaching excellence, and high-impact research. His continuing work within hematology and blood transfusion science positions him as a dedicated professional committed to improving health outcomes, building research capacity, and contributing meaningfully to national and global healthcare advancement.

Profile: Google Scholar

Featured Publications 

Ogolla, C. O., Karani, L. W., Musyoki, S., & Maruti, P. (2025). Hematological Changes in Total and Differential Count in Pre and Post Hemodialysis of Adult Chronic Kidney Disease Patients. 1 citation.
Ogolla, C. O., Karani, L. W., Musyoki, S., & Maruti, P. (2025). Hematological Biomarkers in Predicting Progression and Complications of Chronic Kidney Disease Among Adult Patients. Advances in Hematology, 8487716.
Ogolla, C. O., Guyah, B., & Maima, A. O. (2025). Assessing the impact of community health education programs on preventing non-communicable diseases in rural areas. BMC Public Health, 25(1), 4176.
Ogolla, C. O., Karani, L. W., Musyoki, S., & Maruti, P. (2025). Iron profile variability in hemodialysis chronic kidney disease patients. Journal of Clinical Laboratory Analysis, e70132.
Ogolla, C. O., Karani, L. W., Musyoki, S., & Maruti, P. (2025). The Role of Vitamin D Deficiency in the Progression of Chronic Kidney Disease: Implications for Early Intervention and Management.
Ogolla, C. O., Karani, L. W., Musyoki, S., & Maruti, P. (2025). Role of Inflammatory and Hematologic Biomarkers in Predicting Chronic Kidney Disease Progression.
Ogolla, C. O., Guyah, B., & Maima, A. O. (2025). Impact of Blood Donation on Immune Function and Donor Health Recovery.
Ogolla, C. O., Karani, L. W., Musyoki, S., Maruti, P., & Demba, N. R. (2025). Thrombosis and Bleeding Risk in Chronic Kidney Disease: Hematologic Alterations, Pathophysiology, and Management Strategies.
Ogolla, C. O., Karani, L. W., & Musyoki, S. (2025). The Impact of Inflammation and Oxidative Stress on Anemia Development in Chronic Kidney Disease: Mechanisms and Therapeutic Implications.
Ogolla, C. O., Guyah, B., & Maima, A. O. (2025). Assessing the Impact of Environmental Pollution on the Incidence of Blood Transfusion-Related Infections in Urban Populations.
Ogolla, C. O., Karani, L. W., & Musyoki, S. (2025). Variations in iron profile among dialysis adherent and non-adherent chronic kidney disease patients. medRxiv.

Sahin Yildirim | Machine Learning | Best Researcher Award

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Prof. Dr. Sahin Yildirim | Machine Learning | Best Researcher Award

Prof. Dr. Sahin Yildirim | Machine Learning | Senior Lecturer at Erciyes University | Turkey

Machine Learning has significantly elevated the scope of modern robotics, autonomous systems, vibration control, and intelligent engineering, and at the core of these advances stands Prof. Dr. Sahin Yildirim, a distinguished academic and researcher from Erciyes University, Turkey, whose decades of expertise span robotics, mechatronics, neural networks, mechanical vibrations, artificial intelligence, and aviation engineering. Born with a deep passion for engineering innovation, Prof. Dr. Sahin Yildirim has consistently demonstrated excellence in teaching, research, and advanced technological development. He completed his bachelor’s degree at Erciyes University in 1989, specializing in Mechanical Engineering, followed by postgraduate studies in System Analysis at Cardiff University in 1998, and later rose to the rank of full Professor in 1999, marking the beginning of more than three productive decades at Erciyes University. With extensive professional experience that includes leadership roles such as Department Chair and Deputy Department Chair, he has been instrumental in shaping engineering curricula, mentoring young researchers, and pioneering state-of-the-art R&D initiatives. Throughout his academic career, Prof. Dr. Sahin Yildirim has actively contributed to internationally impactful research projects related to Machine Learning, robotics, neural network control, dynamic modeling of mechanical systems, multi-rotor UAVs, vehicle active suspension systems, autonomous mobile robots, and structural dynamics. His scientific fields span computer science, neural computing, aerospace structures, noise control, mechatronic systems, hydraulic structures, and advanced vibration control. Fluent in English, he collaborates with multidisciplinary research teams and contributes significantly to global engineering knowledge. His research interest strongly integrates Machine Learning with robotics and intelligent motion planning, neural network-based detection systems, autonomous navigation, medical mechatronics, and smart UAV optimization, all of which have positioned him as a leading expert in artificial intelligence for next-generation engineering technologies. His research skills include neural network modeling, algorithm design, dynamic system simulation, fault detection techniques, robotic perception, machine vibration analysis, and autonomous navigation optimization. Prof. Dr. Sahin Yildirim has authored high-impact journal articles, influential book chapters, and conference papers, including studies on overhead crane dynamics, redundant rotor systems for UAVs, mobile robot trajectory planning using AI algorithms, and Machine Learning-driven object detection techniques. His excellence has earned him international recognition, industry collaborations, and academic honors, demonstrating outstanding contributions to applied robotics and engineering science. His work on vibration control, neural network applications, and autonomous robotics systems has been widely cited, making him a key reference point in advanced mechatronics and AI-supported engineering. His honors also reflect the global significance of his research innovations and leadership. As a senior academic, Prof. Dr. Sahin Yildirim continues to influence research directions, guide doctoral works, and develop sustainable engineering solutions to improve robotics, Machine Learning applications, and intelligent system design. His ongoing mission highlights integrating AI-powered modeling approaches into highly responsive mechanical and robotic architectures, creating new possibilities for aerospace, industrial automation, and intelligent transportation systems. In conclusion, Prof. Dr. Sahin Yildirim stands as a visionary engineering scholar whose commitment to Machine Learning and robotics continues to shape scientific advancement, motivate academic communities, and contribute to transformative innovations in intelligent engineering systems worldwide.

Profile: Google Scholar

Featured Publications

Yildirim, Ş., & Uzmay, I. (2003). Neural network applications to vehicle’s vibration analysis. Mechanism and Machine Theory, 38(1), 27–41. (Cited by 48)
Yildirim, Ş. (2004). Vibration control of suspension systems using a proposed neural network. Journal of Sound and Vibration, 277(4–5), 1059–1069. (Cited by 111)
Karacalar, A., Orak, I., Kaplan, S., & Yıldırım, Ş. (2004). No-touch technique for autologous fat harvesting. Aesthetic Plastic Surgery, 28(3), 158–164. (Cited by 52)
Berkan, Ö., Saraç, B., Şimşek, R., Yıldırım, Ş., Sarıoğlu, Y., & Şafak, C. (2002). Vasorelaxing properties of some phenylacridine type potassium channel openers in isolated rabbit thoracic arteries. European Journal of Medicinal Chemistry, 37(6), 519–523. (Cited by 57)
Eski, I., & Yıldırım, Ş. (2009). Vibration control of vehicle active suspension system using a new robust neural network control system. Simulation Modelling Practice and Theory, 17(5), 778–793. (Cited by 251)
Eski, I., Erkaya, S., Savas, S., & Yildirim, S. (2011). Fault detection on robot manipulators using artificial neural networks. Robotics and Computer-Integrated Manufacturing, 27(1), 115–123. (Cited by 159)
Aksoy, E., & Yıldırım, Ş. (2017). Rise and fall of Tios-Tieion. IOP Conference Series: Materials Science and Engineering, 245(7), 072013. (Cited by 56)
Yildirim, Ş. (1999). The effects of long-term oral administration of L-arginine on the erectile response of rabbits with alloxan-induced diabetes. BJU International, 83(6), 679–685. (Cited by 46)

 

Francis Ssenkuba | Aquatic | Young Scientist Award

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Mr. Francis Ssenkuba | Aquatic | Young Scientist Award 

Mr. Francis Ssenkuba | Aquatic | PhD Researcher at Mbarara University of Science and Technology | Uganda

Aquatic – Mr. Francis Ssenkuba is a dedicated Ugandan biologist whose work focuses on freshwater ecosystems, particularly the parasites, invertebrates, and biodiversity of lakes and lotic systems in Uganda’s rift and forest regions. Born on 16 June 1998 in Kiboga, Uganda, Mr. Francis Ssenkuba earned his Bachelor of Science with Education (Biological) with First Class Honors (2018–2022), then went on to complete a Master of Science in Biology with a specialization in Natural Resources Ecology, Management and Conservation (2023–2024), and is currently pursuing a PhD in Biology at Mbarara University of Science and Technology, Uganda — his doctoral research centers on point-of-care monitoring of schistosomiasis parasites in Lake Albert (Western Uganda) using environmental DNA (eDNA) loop-mediated isothermal amplification (LAMP) assays. Professionally, Mr. Francis Ssenkuba serves as PhD researcher under the Action towards Reducing Aquatic snail-borne Parasitic diseases (ATRAP) project at Mbarara University (since October 2024), and since May 2022 has also worked as a Research Assistant on a PhD project at Justus Liebig University Giessen (Germany), concerning aquatic biodiversity studies on Lake Albert and Lake Edward. In parallel, from July 2022 onward, he volunteers as a teaching assistant in Hydrobiology and Aquatic Science at the Department of Biology, Mbarara University. Mr. Francis Ssenkuba’s research interests include freshwater ecology and conservation, aquatic macroinvertebrates and molluscs, parasite-host relationships (including schistosomiasis), biodiversity monitoring using molecular methods (eDNA), conservation assessment of threatened species (e.g. molluscs, odonates), and taxonomic inventory of aquatic fauna in tropical African lakes and forest streams. His research skills encompass field sampling of aquatic organisms, environmental DNA metabarcoding and LAMP-based assays, taxonomic identification (macroinvertebrates, molluscs, odonates), ecological survey design, conservation assessment protocols, data analysis for biodiversity and community structure, and project coordination. Mr. Francis Ssenkuba has also secured several research grants — notably as Principal Investigator for a conservation assessment of endemic threatened Odonate species in the Albertine Rift (Echuya Forest Reserve and Bwindi Impenetrable National Park) funded by Rufford Foundation (≈ US$10,491, ongoing since September 2025), and a mollusc and crustacean inventory in Lakes Mutanda and Bunyonyi (Southwestern Uganda) funded via Save Our Species / Conservation Action Fund (≈ US$7,528, 2023–2024). He contributed as a team member in a project rediscovering critically endangered gastropods in Lakes Edward and Albert (Rufford-funded), and also led a short-term survey of odonates in Afromontane forests (Rufford grant ~ US$7,516, 2023). Through these efforts, Mr. Francis Ssenkuba has demonstrated an unwavering commitment to bridging molecular ecology, traditional taxonomy and conservation science to safeguard freshwater biodiversity. In conclusion, Mr. Francis Ssenkuba represents a new generation of aquatic conservationists combining rigorous academic training, hands-on field and molecular research, and active conservation engagement; his work not only enhances scientific understanding of Uganda’s ragged freshwater ecosystems but also contributes critically needed baseline data and conservation assessments that can inform future management and policy — thereby embodying the promise of impactful, ecosystem-oriented science for tropical freshwater conservation.

Profile: Scopus

Featured Publications

Bálint, M., Tumusiime, J., Nakintu, J., Baranski, D., Schardt, L., Romahn, J., Dusabe, M.-C., Tolo, C. U., Kagoro, G. R., & Ssenkuba, F. (2024). Environmental DNA barcoding reveals general biodiversity patterns in the large tropical rift Lake Albert. Science of the Total Environment.
Ssenkuba, F., Komujuni, C., & Tumusiime, J. (2022). In vitro anthelmintic activity of Leonotis nepetifolia ethanolic and aqueous leaf extracts on Fasciola gigantica. Journal of Veterinary Medicine and Animal Health, 14(4), 82–90.
Ssenkuba, F., Tumusiime, J., Akite, P., Toloa, E., Ndimulodi, J., Dusabe, C., Albrecht, C., & Kagoro, G. (2025). Unveiling Management Implications for Odonata Assemblages in Tropical Rain Forests of the Albertine Rift, Uganda. Aquatic Conservation: Marine and Freshwater Ecosystems.

 

Ananda Kumar Biswas | Conflict | Research Excellence Award

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Mr. Ananda Kumar Biswas | Conflict | Research Excellence Award 

Mr. Ananda Kumar Biswas | Conflict | Master’s Student at BRAC University at Bangladesh

Conflict shapes the academic journey of Mr. Ananda Kumar Biswas, whose scholarship and professional work address the tension between children’s digital futures and global social inequalities through a rigorous interdisciplinary lens, demonstrating how Conflict between technology, vulnerability, and rights emerges within evolving communication systems, humanitarian responses, education reform, and policymaking. Mr. Ananda Kumar Biswas is driven by a profound commitment to social transformation and child protection, exploring how Generation Alpha interacts with digital technology, how parental mediation varies across contexts, and how media literacy is evolving in the global South, often at the crossroads of Conflict between opportunity and inequity. His educational trajectory reflects a consistent pursuit of knowledge across human rights, communication, education, leadership, and development studies; currently, he is pursuing an APMA (Asia Pacific) degree in Human Rights and Democratization at Mahidol University in Thailand under the EU & Global Campus Asia Pacific Scholarship, while his previous academic achievements include an M.A. in Communication (ULAB) awaiting thesis defense, an M.Ed. in Educational Leadership and School Improvement from BRAC University with a CGPA of 3.64/4, a Master of Development Studies from Khulna University with a CGPA of 3.36/4, a Post Graduate Diploma in Monitoring, Evaluation, Accountability, and Learning (MEAL) from the Academy of Business Professionals with strong results, and a Bachelor of Social Science degree in Development Studies also from Khulna University with a CGPA of 3.23/4. Throughout these academic engagements, Mr. Ananda Kumar Biswas demonstrated an emerging specialization in examining Conflict between children’s rights and rapidly expanding digital environments. His professional involvement with globally recognized development organizations such as BRAC and Caritas Bangladesh provided extensive experience in project implementation, management, humanitarian programming, and communication interventions, reinforcing how Conflict within policy, protection, and digital exposure affects children, families, and institutions. His research interests include Child Rights, Digital Childhood, Media Literacy, Humanitarian Response, Gender and Resilience, Digital Rights, and AI and Society, showing how Conflict between technological shifts and ethical responsibilities informs policies, parental strategies, and educational reform. His research skills span qualitative analysis, comparative studies, media practices, community-response evaluation, and social policy assessment, reflecting an ability to translate academic research into actionable frameworks. Mr. Ananda Kumar Biswas has published with Springer, Palgrave, Routledge, Wiley, and peer-reviewed journals, continuously exploring how Conflict between global technology flows and local vulnerabilities shapes socioeconomic resilience. His awards and honors include the prestigious EU & Global Campus Asia Pacific Scholarship, academic distinctions within his PGD- MEAL program, and recognition from international scholarly platforms, underscoring both academic excellence and applied fieldwork expertise. In every dimension of his research and professional life, Mr. Ananda Kumar Biswas situates digital transformation within human rights contexts, addressing the Conflict created when technology evolves faster than protective structures such as education, policy, and parental mediation. Ultimately, Mr. Ananda Kumar Biswas seeks to integrate scholarship, advocacy, and implementation into a rights-based technological framework that empowers policymakers, educators, and families to safeguard and uplift children, ensuring that development in digital spaces does not widen inequity but enhances dignity, inclusion, and resilience in societies affected by ongoing humanitarian and structural Conflict.

Profile: Google Scholar

Featured Publications 

Biswas, A. K., Jasmin, I. A., & Hosen, I. (2025). Geopolitical chessboard: China’s Belt and Road Initiative and shifting power dynamics. Discover Global Society, 3(1), 65. 
Simons, G., Khan, A. K., Biswas, A. K., & Ali, F. (2022). Public perception of media’s role during COVID-19 pandemic in Bangladesh. World of Media: Journal of Russian Media and Journalism Studies, 2, 78–105.
Biswas, A. K., Jasmin, I. A., Hosen, I., & Jahan, F. N. (2025). Bridging the digital divide: University students in media and information literacy. In The Palgrave Handbook of Global Social Problems. 
Khan, M. A. K., Mehjabin, S. S., Tabassum, M., Partha, S. B., & Biswas, A. K. (2025). Practices and innovative approaches in post-secondary media education during the Covid-19 pandemic in Bangladesh. In Digital Inequalities in Media Education in South Asia (pp. 266–281). 
Simons, G., Khan, A. K., Mehjabin, S. S., Biswas, A. K., Hossain, A., & Aubapty, E. (2025). Digitalization and community participation in citizen journalism during the Bangladesh uprising: A qualitative study. Journalism and Media, 6(4), 206. 
Sumskaya, A. S., Simons, G., & Biswas, A. K. (2025). Salient topics in the local news of the digital media and societal security: A cross-national comparative study. RUDN Journal of Sociology, 25(3), 823–834. 
Jasmin, I. A., Sushoma, A. S., Hosen, I., & Biswas, A. K. (2025). The gender divide: Factors amplifying women’s vulnerability during extreme events in Bangladesh. In Gender-Transformative Approaches for Climate Change Adaptation

 

Muhammet Emre Sanci | Robotics | Innovative Research Award

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Dr. Muhammet Emre Sanci | Robotics | Innovative Research Award 

Dr. Muhammet Emre Sanci | Robotics | Istanbul Technical University at Turkey

Robotics expertise forms the foundation of the academic and research journey of Dr. Muhammet Emre Sanci, whose professional path seamlessly blends advanced theoretical knowledge with applied innovation in intelligent systems, nonlinear control, autonomous technologies, and UAV swarm intelligence. Dr. Muhammet Emre Sanci completed his PhD in Mechatronics Engineering at Istanbul Technical University, funded by the Ministry of Education Turkiye, where his thesis focused on adaptive inverse optimal controller design for nonlinear non-affine systems using machine learning methods. He also earned an MSc (Hons) in Electrical and Electronics Engineering at Pamukkale University, focusing on model-based control and autonomy in magnetic levitation systems, and previously completed a BE (Hons, 1st) in Electrical and Electronics Engineering at Anadolu University, where he compared fuzzy PID and PI controllers for DC microgrid energy systems. Adding multidisciplinary strength to his robotics vision, he studied Physics at Vilnius University through Erasmus+ mobility and completed BSc (Hons, 1st) in Physics at Abant Izzet Baysal University. Professionally, Dr. Muhammet Emre Sanci served as a Postdoctoral Fellow at the University of Idaho, advancing research in autonomous robotics, adaptive optimal control, multi-drone swarming systems, and agricultural automation. His work included adaptive disturbance rejection-based fuzzy PID control for UAV swarms, deep learning-based greenhouse automation, irrigation distribution modeling under heterogeneous soil conditions, and drone-based pest management systems, while providing data-driven modeling, algorithm development, and comprehensive documentation for large-scale research initiatives. Earlier, he served at Istanbul Technical University as Teaching & Research Assistant in Control and Automation Engineering, contributing to intelligent control, UAV-based autonomous mine sweeping, multi-agent local path planning, velocity obstacle avoidance, and neural network plus SVR-based nonlinear non-affine system identification strategies. His earlier experience at Pamukkale University integrated Robotics with materials and machining optimization, focusing on magnetic levitation system modeling and composite machining surface roughness prediction. He has extensive teaching expertise across multiple modules including Control Systems, Mechatronics, Real-Time Embedded Systems, Linear Algebra, Probability Theory, Microcontroller Systems, State-Space Methods, Intelligent Systems, Deep Learning, Hardware-in-the-Loop, Electronic Instrumentation, MATLAB Programming, and more, supporting robotics education at undergraduate and postgraduate levels. His research interests remain deeply rooted in Robotics, nonlinear intelligent control, adaptive UAV swarming, multi-agent autonomy, artificial neural networks for system identification, optimal control theory, and real-time embedded computation. His core research skills include nonlinear model design, optimal robotics controller development, multi-UAV coordination, intelligent system modeling, path-planning algorithms, machine learning implementation, and multi-environment dynamic optimization. His innovation has been supported by major competitive grants from national and international science foundations, including drone-based sensing system development for infrastructure inspection and UAV optimization technology for autonomous missions. His excellence is reflected through distinguished graduation achievements, academic honors, international research scholarships, and best presentation recognitions. In conclusion, Dr. Muhammet Emre Sanci stands as a robotics-focused scholar whose interdisciplinary expertise, highly adaptive control systems research, and forward-thinking approach to autonomous UAV swarming technologies significantly advance the global state-of-the-art in intelligent engineering systems, making him an invaluable contributor to emerging frontiers in Robotics.

Profile: Google Scholar

Featured Publications 

Sanci, M. E., Halis, S., & Kaplan, Y. (2017). Optimization of machining parameters to minimize surface roughness in the turning of carbon-filled and glass fiber-filled polytetrafluoroethylene. 2017, 6 citations.
Sanci, M. E., & Günel, G. Ö. (2024). Neural network based adaptive inverse optimal control for non-affine nonlinear systems. 2024, 5 citations.
Sanci, M. E., Uçak, K., & Günel, G. Ö. (2023). A novel adaptive LSSVR based inverse optimal controller with integrator for nonlinear non-affine systems. 2023, 5 citations.
Candan, F., Sanci, M. E., & Li, L. (2024). Vision-based relative navigation and drone swarming control for inspection in GPS-denied environment. 2024, 1 citation.
Sanci, M. E., Halis, S., & Kaplan, Y. (2016). Study on surface roughness of carbon and glass fiber filled polytetrafluoroethylene in turning process. 2016, 1 citation.

 

Zijian Wu | Neuron Physics | Innovative Research Award

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Prof. Zijian Wu | Neuron Physics | Innovative Research Award

Prof. Zijian Wu | Neuron Physics | Teacher at Anhui University of Chinese Medicine | China

Neuron Physics provides a foundational scientific lens through which Prof. Zijian Wu conducts his pioneering translational research in neural regulation, cardiovascular modulation, and acupuncture mechanisms, positioning him among the leading figures applying Neuron Physics principles to clinical acupuncture and meridian regulation. Prof. Zijian Wu, a Professor and Doctoral Supervisor with a Ph.D. in Traditional Chinese Medicine and extensive expertise in neuroanatomy, myocardial ischemia, neural signaling pathways, and gut–brain axis neurophysiology, currently serves as Vice Dean and Associate Director at the Acupuncture and Meridian Research Institute, School of Acupuncture and Tuina, Anhui University of Chinese Medicine, while contributing significantly to the understanding of somatosensory–visceral interactions through the prism of Neuron Physics. With foundational academic training comprising Bachelor’s and Master’s degrees in Acupuncture and Tuina from Anhui College of Traditional Chinese Medicine, he advanced his academic journey by earning a Ph.D. at Anhui University of Chinese Medicine and gaining valuable international research exposure as a Visiting Scholar at the University of Manitoba, Canada, integrating neurophysiology, cardiovascular medicine, and computational conceptual models of neural pathways consistent with Neuron Physics. Professionally, Prof. Zijian Wu has progressed through positions of responsibility, starting as Lecturer and Assistant Professor, then contributing to scientific administration as Deputy and Section Chief in the Office of Science and Technology, rising to Associate Professor, and ultimately to Professor and Vice Dean, with all roles reflecting his scholarly commitment to Neuron Physics applied to neural circuitry underlying myocardial ischemia and cardiovascular autonomic regulation. His research interests include myocardial ischemia neural mechanisms, neural sensory conduction mapping, orexinergic modulation of cardiovascular risks, neural pathway decoding of acupuncture effects, microbiota–gut–brain axis modulation, cerebral neuroprotection, oxidative stress biomolecular regulation, and translational neuroscience techniques, all deeply rooted in Neuron Physics theoretical frameworks. Through principal leadership of major funded projects supported by provincial initiatives, national science foundations, and national R&D programs, Prof. Zijian Wu applies Neuron Physics concepts to explain sensory-neural regulatory mechanisms behind electroacupuncture modulation of ventricular function, afferent liver meridian conduction, PAG regulation, orexinergic signaling, and gut–brain neural integration. His scientific skills span rodent myocardial ischemia modeling, neural tracer application, electrophysiology, neurobehavioral assessment, molecular biomarker quantification, oxidative stress biochemical profiling, advanced neural pathway tracing, and clinical evaluation of acupuncture efficacy, demonstrating high proficiency in experimental and translational Neuron Physics–aligned methodologies. Honors associated with his work are reflected in consistent competitive research funding, institutional leadership, and scholarly recognition as a doctoral mentor shaping the next generation of neurophysiology-acupuncture researchers. In conclusion, Prof. Zijian Wu represents a remarkable fusion of Neuron Physics and Traditional Chinese Medicine–neurocardiology research, contributing novel mechanistic insights into neural regulation of cardiac function, advancing neural pathway sciences, and providing globally significant translational frameworks for clinical application.

Profile: ORCID

Featured Publications

  1. Wu, Z. (2025). Electroacupuncture improves cardiac function in mice with myocardial infarction through Glu neurons in ventrolateral periaqueductal gray. Advanced Biology. (2025).
  2. Wu, Z. (2022). Study on the central neural pathway and the relationship between the heart and small intestine via a dual neural tracer. PLOS ONE. (2022).
  3. Wu, Z. (2021). Mechanisms of electroacupuncture pretreatment in alleviating myocardial ischemia reperfusion injury: Interactions between the cerebellar fastigial nucleus and lateral hypothalamic area. Journal of Acupuncture and Meridian Studies. (2021).
  4. Wu, Z. (2021). Roles of central orexinergic system on cardiovascular function and acupuncture on intervention of cardiovascular risk. Neuropeptides. (2021).
  5. Wu, Z. (2019). Does moxa smoke have significant effect on the acupuncturist’s respiratory system? A population-based study. Evidence-Based Complementary and Alternative Medicine. (2019).
  6. Wu, Z. (2019). Upregulation of antioxidant thioredoxin by antidepressants fluoxetine and venlafaxine. Psychopharmacology. (2019).
  7. Wu, Z. (2019). Upregulation of thioredoxin-interacting protein in brain of amyloid-β protein precursor/presenilin 1 transgenic mice and amyloid-β treated neuronal cells. Journal of Alzheimer’s Disease. (2019).

 

Ge Zhang | Cardiology | Research Excellence Award

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Prof. Ge Zhang | Cardiology | Research Excellence Award

Prof. Ge Zhang | Cardiology | Chair Professor at Hong Kong Baptist University | Hong Kong

Cardiology defines the central theme of Prof. Ge Zhang’s distinguished academic and research career, reflecting his multidisciplinary expertise in biomedicine, metabolic and endocrine disorders, oncology, and translational medicine. Prof. Ge Zhang obtained his foundational education in Chinese Medicine and Orthopaedics at Shanghai University of Chinese Medicine, followed by advanced research training at The Chinese University of Hong Kong, laying the groundwork for a career that integrates clinical insights with molecular and translational research. Prof. Ge Zhang began his professional journey as a resident and physician-in-charge in orthopaedics and traumatology, progressing to postdoctoral and research assistant professorships, before ascending to professorial and directorial roles in the School of Chinese Medicine at Hong Kong Baptist University (HKBU), where he currently serves as Chair Professor and Associate Dean. His professional experience spans clinical practice, biomedical research, technology development, and academic leadership, with key appointments including Director of the Institute for Advancing Translational Medicine in Bone & Joint Diseases and leadership of the Technology Development Division at HKBU. Prof. Ge Zhang’s research interests converge on cardiovascular diseases, metabolic bone and endocrine disorders, oncology, and drug discovery, emphasizing aptamer-based therapeutics and translational medicine strategies. His lab focuses on understanding the molecular mechanisms underlying cardiovascular regulation, tumor-targeted therapy, muscle regeneration, and neuroinflammation, employing cutting-edge techniques such as peptide and stapled aptamer design, extracellular vesicle delivery, real-time RT-PCR, and molecular modeling for therapeutic development. Prof. Ge Zhang’s research skills encompass molecular biology, medicinal chemistry, pharmacology, translational modeling, assay development, and the integration of clinical insights into laboratory discovery, enabling the design and evaluation of novel therapeutics with high specificity and efficacy. Throughout his career, Prof. Ge Zhang has received numerous honors recognizing both scientific innovation and academic leadership, including awards for translational research excellence, technological invention in therapeutic development, and recognition in international peer-reviewed journals. In conclusion, Prof. Ge Zhang exemplifies a visionary scientist whose integration of cardiology, molecular medicine, and translational strategies has advanced both clinical practice and therapeutic discovery, establishing him as a leading figure in cardiovascular research, aptamer-based drug development, and interdisciplinary biomedicine, while mentoring the next generation of scholars and bridging the gap between laboratory science and patient-centered applications.

Profile: ORCID

Featured Publications 

Zhang, G. (2025). Role of Sclerostin in Cardiovascular System. International Journal of Molecular Sciences. Cited by 4
Zhang, G. (2024). Peptide Aptamer–Paclitaxel Conjugates for Tumor Targeted Therapy. Pharmaceutics. Cited by 8
Zhang, G. (2024). Long Noncoding RNA lncRNA-3 Recruits PRC2 for MyoD1 Silencing to Suppress Muscle Regeneration During Aging. International Journal of Molecular Sciences. Cited by 5
Zhang, G. (2024). Developing Stapled Aptamers with a Constrained Conformation for Osteogenesis Imperfect Therapeutics. Journal of Medicinal Chemistry. Cited by 6
Zhang, G. (2024). Inflammatory Processes: Key Mediators of Oncogenesis and Progression in Pancreatic Ductal Adenocarcinoma (PDAC). International Journal of Molecular Sciences. Cited by 8
Zhang, G. (2024). Peptide-Conjugated Vascular Endothelial Extracellular Vesicles Encapsulating Vinorelbine for Lung Cancer Targeted Therapeutics. Nanomaterials. Cited by 5
Zhang, G. (2024). Connective Tissue Growth Factor: Regulation, Diseases, and Drug Discovery. International Journal of Molecular Sciences. Cited by 13
Zhang, G. (2023). Exploring the Potential of Aptamers in Targeting Neuroinflammation and Neurodegenerative Disorders: Opportunities and Challenges. International Journal of Molecular Sciences. Cited by 19
Zhang, G. (2023). Development of a Real-Time TaqMan RT-PCR Assay for the Detection of NADC34-like Porcine Reproductive and Respiratory Syndrome Virus. Veterinary Sciences. Cited by 7

 

Alper Bulbul | Bioinformatics | Research Excellence Award

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Mr. Alper Bulbul | Bioinformatics | Research Excellence Award 

Mr. Alper Bulbul | Bioinformatics | PhD Candidate at Acibadem University | Turkey

Bioinformatics forms the foundation of Mr. Alper Bulbul’s professional expertise and research trajectory, shaping his work as a highly committed PhD student with a strong academic grounding in molecular biology, genetics, biostatistics, and computational sciences. Mr. Alper Bulbul completed undergraduate and graduate training in Molecular Biology and Genetics at Istanbul Technical University, further advancing into doctoral research at Acibadem University within the Department of Biostatistics and Bioinformatics. His professional experience includes co-founding a biotechnology start-up, where he contributed to the development of a biosensor designed to measure cancer-related biomarkers with high precision using aptamer-based detection and electrochemical analysis, supported through a national entrepreneurship research program. His primary research interests focus on complex genetic diseases, particularly Multiple Sclerosis, investigated through high-throughput sequencing, Genome-Wide Association Studies, network modeling, gene expression prediction, and disease prognosis interpretation. Mr. Alper Bulbul is proficient in advanced bioinformatics methodologies such as linkage analysis using MERLIN, Allegro, GeneHunter, and pVAAST, variant calling with DeepVariant, GATK, and PLINK, structural and molecular docking approaches using ZDOCK, HADDOCK, and Autodock Vina, molecular dynamics simulations on AMBER, GROMACS, and NAMD platforms, and knowledge graph-based disease gene prioritization using Exomiser and HGPEC. His computational strengths include Python programming with analytics frameworks, R-based statistical pipelines, Linux environment workflows, and Nextflow-based pipeline orchestration, along with SQL database familiarity and application of cloud-computing architectures. His research vision integrates bioinformatics with machine learning to investigate variant pathogenicity, protein behavior, and clinically relevant gene-interaction consequences. He has developed high-performance predictive models for systemic autoinflammatory conditions and conducted whole-exome sequencing studies on familial Multiple Sclerosis to identify the contribution of both rare and common variants, supported by network and enrichment analyses to uncover related biological pathways. The scholarly impact of Mr. Alper Bulbul is reflected through contributions to peer-reviewed publications, interdisciplinary collaborations in translational genetics, and growing citation metrics that illustrate continued relevance of his work. Recognitions include entrepreneurial support funding and acknowledgment for impactful research contributions at the intersection of computational genomics and disease diagnostics. In summary, Mr. Alper Bulbul seeks to advance precision medicine and genomic interpretation through integrative Bioinformatics approaches, supported by interdisciplinary expertise, strong analytical reasoning, and dedication to improving patient outcomes through data-driven translational genetics.

Profile: Google Scholar | ORCID

Featured Publications 

Szydlowski, L. M., Bulbul, A. A., Simpson, A. C., Kaya, D. E., Singh, N. K., … (2024). Adaptation to space conditions of novel bacterial species isolated from the International Space Station revealed by functional gene annotations and comparative genome analysis. Microbiome, 12(1), 190. Citations: 16
Everest, E., Ahangari, M., Uygunoglu, U., Tutuncu, M., Bulbul, A., Saip, S., … (2022). Investigating the role of common and rare variants in multiplex multiple sclerosis families reveals an increased burden of common risk variation. Scientific Reports, 12(1), 16984. Citations: 13
Inci, N., Akyildiz, E. O., Bulbul, A. A., Turanli, E. T., Akgun, E., Baykal, A. T., Colak, F., … (2022). Transcriptomics and proteomics analyses reveal JAK signaling and inflammatory phenotypes during cellular senescence in blind mole rats: the reflections of superior biology. Biology, 11(9), 1253. Citations: 9
Everest, E., Uygunoglu, U., Tutuncu, M., Bulbul, A., Onat, U. I., Unal, M., Avsar, T., … (2023). Prospective outcome analysis of multiple sclerosis cases reveals candidate prognostic cerebrospinal fluid markers. PLOS One, 18(6), e0287463. Citations: 7
Büyükgöl, F., Gürdamar, B., Aluçlu, M. U., Beckmann, Y., Bilguvar, K., Boz, C., … (2025). Exome sequencing reveals low-frequency and rare variant contributions to multiple sclerosis susceptibility in Turkish families. Scientific Reports, 15(1), 11682. Citations: 1
Kilinc, O. C., Gayibova, K., Onen, M. O., Onat, U. I., Bulbul, A., Timucin, A. C., Ugurlu, S., … (2024). A rare case of uncharacterized autoinflammatory disease: Patient carrying variations in NLRP3 and TNFRSF1A genes. American Journal of Medical Genetics Part A, 194(10), e63715. Citations: 1

 

Huai-Jen Tsai | Transgenesis | Excellence in Research Award

Published on by Academic Achievements

Prof. Dr. Huai-Jen Tsai | Transgenesis | Excellence in Research Award 

Prof. Dr. Huai-Jen Tsai | Transgenesis | Chair Professor at Fu Jen Catholic University | Taiwan

Transgenesis Prof. Dr. Huai-Jen Tsai is a distinguished scientist whose career spans over five decades in molecular biology, marine biotechnology, developmental biology, and particularly gene transgenesis in aquatic organisms. Prof. Dr. Huai-Jen Tsai obtained his B.Sc. in Biology from Fu-Jen Catholic University, followed by an M.Sc. in Marine Biology and Fisheries Science from National Taiwan University, where his master’s thesis analyzed blood and muscle proteins of blenny fish via electrophoresis — grounding him firmly in marine biology and protein biochemistry. He then went on to earn a Ph.D. in Microbiology from Oregon State University, USA, completing a dissertation on “Conjugal transfer of plasmid genes between lactic Streptococcus and Leuconostoc starter cultures,” which provided him with rigorous training in gene transfer, plasmid biology and microbial genetics. This strong educational foundation supported a prolific professional journey: beginning as a research assistant, then serving as a teaching assistant, and eventually becoming a researcher in biotechnology and fermentation in the U.S., before returning to Taiwan to engage in academia and research. Prof. Dr. Huai-Jen Tsai progressed from Associate Professor to Professor — holding significant roles at the Institute of Fisheries Science and the Institute of Molecular and Cellular Biology at National Taiwan University, and later serving as Professor and Director of these institutes. He also held adjunct and visiting professorships, including at the Institute of Biomedical Sciences at Mackay Medical College, and serves as Chair Professor in the Department of Life Science at Fu-Jen Catholic University. Throughout his career, Prof. Dr. Huai-Jen Tsai has combined marine biology, molecular biology, and biotechnology to pioneer the development of transgenic aquatic animals, especially using fish models. His research interests center on gene transgenesis in aquatic materials, developmental biology using model fish, molecular mechanisms of gene regulation, tissue-specific gene expression, environmental biotechnology applications, and the use of transgenic fish as biosensors for environmental toxicants. His lab has developed a wide range of transgenic lines — for example, fluorescent-protein–tagged zebrafish where muscle, heart, eye or ovary tissues are marked, as well as transgenic medaka and other aquaculture species — to study gene regulation, embryonic development, organogenesis, regeneration, and environmental responses. Prof. Dr. Huai-Jen Tsai’s research skills cover a broad array of molecular biology and biotechnology techniques: gene cloning, promoter analysis, microinjection and electroporation gene transfer methods, transgenesis, germ-line transmission, use of fluorescent reporter genes (GFP/RFP) for live imaging, developmental gene expression studies, protein biochemistry, and the use of aquatic model organisms. He has authored many peer-reviewed publications and secured patents for “Novel transgenic zebrafish, gene fragments and methods for producing transgenic zebrafish.” His honors and awards reflect his scientific leadership and teaching excellence, including the MOST Outstanding Research Award, Excellent Teaching Award, recognition as Distinguished Professor, the Y. Z. Hsu Technology Invention Award (Biotechnology Category) for a patent on “Novel Gene Fragment for Use in Golden Zebrafish,” and multiple Outstanding Research Awards, as well as inclusion in the prestigious directories Marquis Who’s Who in various categories — highlighting his global recognition. In conclusion, Prof. Dr. Huai-Jen Tsai stands as a pioneering and visionary scientist whose integration of marine biology, molecular techniques, and transgenic technologies has significantly advanced aquatic biotechnology and developmental biology. His lifelong commitment to gene transgenesis in fish, his development of transgenic aquatic models, and his mentorship of students position him as a foundational figure shaping the future of marine biotechnology, environmental monitoring using transgenic organisms, and developmental biology research.

Profile: ORCID

Featured Publications

Zeng, C.-W., & Tsai, H.-J. (2023). The Promising Role of a Zebrafish Model Employed in Neural Regeneration Following a Spinal Cord Injury. International Journal of Molecular Sciences, 24(18), 13938. 
Tsai, H.-J. (2000). Electroporated Sperm Mediation of a Gene Transfer System for Finfish and Shellfish. Molecular Reproduction and Development, 56, 281–284. 
Tsai, H.-J., Chen, Y.-H., Lin, Y.-J., & Wang, Y.-H. (2006). Spatiotemporal Expression of Zebrafish Keratin 18 During Early Embryogenesis and the Establishment of a Keratin 18:RFP Transgenic Line. Gene Expression Patterns, 6(4), 335–339. 
Hsiao, C.-D., & Tsai, H.-J. (2003). Skin-specific Expression of ictacalcin, a Homolog of the S100 Genes, During Zebrafish Embryogenesis. Developmental Dynamics, 228(4), 745–750.
Chou, C.-Y., Horng, L.-S., & Tsai, H.-J. (2001). Uniform GFP-Expression in Transgenic Medaka (Oryzias latipes) at the F0 Generation. Transgenic Research, 10, 303–315. 

 

Saba Batool Wadhar | Journalism | Research Excellence Award

Published on by Academic Achievements

Ms. Saba Batool Wadhar | Journalism | Research Excellence Award

Ms. Saba Batool Wadhar | Journalism | PhD Student at Shenzhen University | China

Journalism is at the core of Ms. Saba Batool Wadhar’s academic and professional journey. Ms. Saba Batool Wadhar completed a Bachelor’s degree in Chinese International Language at Tianjin Normal University, after a dedicated Chinese language course at the same institution, and went on to earn a Master’s in Journalism and Communication from the University of Science and Technology of China (USTC) between September 2021 and June 2024. Currently, she is pursuing a PhD in Journalism and Communication at Shenzhen University (since September 2024). Her education, deeply rooted in language acquisition and cross-cultural understanding, laid a strong foundation for her evolving interest in global media communication, digital storytelling, and the transformative potential of new media technologies. During her master’s program, Ms. Saba Batool Wadhar authored a dissertation titled “Metaverse as Medium in Tourism Industry: An Empirical Study to Understand Potential Consumers,” which explored how immersive virtual environments might revolutionize tourism. Her empirical study, based on responses from 956 participants in China, thoughtfully examined perceived benefits (such as cost savings, media richness, and spatial presence) alongside perceived barriers (including Metaverse anxiety and concerns over tangible resource availability), ultimately highlighting the role of individual readiness to change and eco-centric attitudes in shaping potential adoption of virtual tourism platforms in a post-COVID-19 context. Professionally, Ms. Saba Batool Wadhar has honed her communication and journalism skills through various projects — from analyzing user-generated content on social media to crafting strategic communication plans and carrying out branding strategies for the dairy industry. Her research repertoire includes critical analysis of new media content, exploring factors influencing international travel in the post-pandemic era, and investigating how eco-centric attitudes can influence sustainable tourism through metaverse-based platforms. Her methodological and technical skill set is robust: she is proficient in Microsoft Office for documentation, SPSS and AMOS for statistical analysis, R and Python for data processing, as well as data visualization tools like Tableau. Additionally, she has experience using specialized software such as CiteSpace and Smart-PLS for bibliometric analysis and structural equation modeling, enabling her to process, analyze, and visualize complex data sets. Beyond her technical and analytical strengths, Ms. Saba Batool Wadhar has contributed to academic conferences and seminars, where she presented findings that have the potential to shape future communication strategies and inform new media practices. Although formal awards or honors are not listed in her curriculum vitae, her acceptance into a PhD program at Shenzhen University shortly after completing her master’s degree, along with her publications in refereed journals, reflect scholarly recognition of her work. In summary, Ms. Saba Batool Wadhar stands at the intersection of journalism, communication, and digital innovation; her academic background, combined with her research interests in virtual tourism, media effects, and sustainable communication, and her proficiency in advanced research tools, make her a promising scholar positioned to contribute significantly to evolving fields in media studies and digital communication.

Profile: Google Scholar

Featured Publications

Wadhar, S. B., Shahani, R., Zhou, R., Siddiquei, A. N., Ye, Q., & Asmi, F. (2023). What factors will influence Chinese international traveling for leisure in the post-COVID-19 era: Role of health priorities and health-related information literacy. Healthcare, 11(3), 315. (Citations: 14)
He, J., Muhammad, D., Zhang, R., Wadhar, S. B., Shahani, R., & Huang, Z. (2025). Research on the impact of ecological innovations in China’s optoelectronics industry on corporate ESG under the background of “Double Carbon”. Sustainable Futures, 10, 101444.