Asadi Srinivasulu | Computer Science | Best Researcher Award

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Asadi Srinivasulu | Computer Science | Best Researcher Award

University of Newcastle | Australia

Dr. Asadi Srinivasulu is an accomplished academic and researcher with over 24 years of combined teaching and industry experience in the field of Computer Science and Information Technology. He earned his B.Tech in Computer Science Engineering from Sri Venkateswara University, Tirupati, and his M.Tech in Intelligent Systems from the Indian Institute of Information Technology, Allahabad. He holds a Ph.D. in Data Science from JNTU Anantapur and is currently pursuing a second Ph.D. in Artificial Intelligence at IIIT Allahabad as a working professional under the supervision of Prof. Anupam Agrawal. He is presently a Visiting Researcher at crcCARE, the University of Newcastle, Australia, and previously served as Head of Research & OpenLabs in Information Technology at BlueCrest University, Monrovia, Liberia, as well as a Subject Matter Expert at Deloitte, Delhi. His research expertise spans Data Science, Big Data Analytics, Data Mining, Artificial Intelligence, Robotic Process Automation, Cloud Computing, Pattern Recognition, Machine Learning, and Software Engineering. Dr. Srinivasulu has reviewed 96 research theses and guided multiple Ph.D., M.Tech, and B.Tech scholars. A holder of numerous professional certifications, including seven IBM and multiple Microsoft, edX, NPTEL, and IIT-Bombay credentials, he is also a professional member of several renowned organizations such as IEEE, ACM, CSI, ISTE, and NASSCOM. He serves on the editorial boards of various international journals and has acted as a reviewer for leading publishers including Springer, Elsevier, IEEE, and Hindawi. Throughout his career, he has contributed to academic and institutional development through leadership roles in R&D, accreditation, curriculum development, and innovation initiatives, reflecting his dedication to advancing research, technology, and education in the global IT landscape.

Profile: Orcid | Scopus 

Featured Publications

Asadi Srinivasulu, Dolly Diana, P., Asadi Saketh Ram, Goddindla, S., & Uma, T. G. (2024). AI-driven strategic HR: Maximizing employee productivity for global competitiveness. Journal of Advanced Artificial Intelligence, 1(2), 21–35.

Asadi Srinivasulu, & Clement Varaprasad, K. (2024). Enhancing safety and efficiency in autonomous vehicles through integrated AI technologies. Journal of Research in Engineering and Computer Science, 2(3), 1–25.

Asadi Srinivasulu, Goddindla, S., Ramineni, R. R., Billa, S. B., & Akhila, S. P. (2024). Advanced RTD prediction and optimization in three-phase bubble column reactors: Leveraging deep learning for enhanced industrial efficiency. Biomedical Journal of Scientific & Technical Research, 59(5),

Asadi Srinivasulu, & Goddindla, S. (2024). Operational issues and strategies of three-phase fluidized bed bioreactors for enzymatic production of gluconic acid. International Journal of Food and Nutritional Sciences, 11(13), 3502–3521.

Asadi Srinivasulu, & Goddindla, S. (2024). Healthcare applications of gluconic acid: A comprehensive review and insights. International Journal of Food and Nutritional Sciences, 11(11),

Asadi Srinivasulu, & Rajeyyagari, S. (2024). Myocarditis detection using proximal policy optimization and mutual learning. Journal of Artificial Intelligence and System Modelling, 1(4), 32–49.

Asadi Srinivasulu, & Palanisamy, V. (2024). Data-driven revolution in academic support for mathematics underachievers through random forest individual and hybrid model. Journal of Artificial Intelligence and System Modelling, 1(4),

Salvatore Ceccarelli | Agricultural and Biological Sciences | Best Researcher Award

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Salvatore Ceccarelli | Agricultural and Biological Sciences | Best Researcher Award

Bioversity International | Italy

Dr. Salvatore Ceccarelli is a distinguished agricultural scientist and plant breeder recognized globally for his pioneering contributions to participatory and evolutionary plant breeding. With an illustrious career spanning several decades, he has been instrumental in developing innovative breeding strategies tailored for marginal environments and resource-poor farmers. From 1984 to 2008, he served as Director of the Barley Breeding Program at the International Center for Agricultural Research in the Dry Areas (ICARDA), where he designed and implemented breeding approaches that emphasized farmer participation, sustainability, and adaptability to local conditions across Latin America, the Middle East, Asia, and Africa. His leadership at ICARDA helped transform traditional breeding methodologies into more inclusive and resilient systems that addressed the challenges of climate change and food security. Following his tenure as program director, he continued as a consultant and later as a freelance expert, collaborating with international and Italian organizations on research, project design, scientific reporting, and training programs focused on participatory and evolutionary genetic improvement. Dr. Ceccarelli has been deeply involved in international initiatives such as the European SOLIBAM project, promoting biodiversity, agroecology, and genetic resilience through farmer-led experimentation. His work seamlessly integrates scientific rigor with social engagement, empowering farming communities to take an active role in crop improvement. Over the years, he has authored numerous scientific papers and reports, contributing significantly to the global discourse on sustainable agriculture and genetic diversity. Through his lifelong dedication to participatory research, Dr. Ceccarelli has established himself as a leading advocate for farmer-centered innovation, bridging the gap between science and society while advancing agricultural systems that are both equitable and ecologically sound.

Profile: Orcid 

Featured Publications

Raggi, L., Negri, V., & Ceccarelli, S. (2016, August 1). Morphological diversity in a barley composite cross-derived population evolved under low-input conditions and its relationship with molecular diversity: Indications for breeding. Journal of Agricultural Science, 154(8), 1210–1224.

Shakhatreh, Y., Baum, M., El Haddad, N., Alrababah, M. A., & Ceccarelli, S. (2016, June 1). Assessment of genetic diversity among Jordanian wild barley (Hordeum spontaneum) genotypes revealed by SSR markers. Genetic Resources and Crop Evolution, 63(6), 927–937.

Rahmanian, M., Razavi, K., Haghparast, R., Salimi, M., & Ceccarelli, S. (2016, January 1). Evolutionary plant breeding: A method for rapidly increasing on-farm biodiversity to support sustainable livelihoods in an era of climate change. Journal of Crop Improvement, 30(1), 1–17.

Raggi, L., Ceccarelli, S., & Negri, V. (2016, January 1). Evolution of a barley composite cross-derived population: An insight gained by molecular markers. Journal of Agricultural Science, 154(1), 23–39.

Dwivedi, S. L., Ceccarelli, S., Blair, M. W., Upadhyaya, H. D., Kumar, A. A., & Ortiz, R. (2015, November 7). Landrace germplasm for improving yield and abiotic stress adaptation. Trends in Plant Science, 21(1), 31–42.

Campanelli, G., Acciarri, N., Campion, B., Delvecchio, S., Leteo, F., Fusari, F., Angelini, P., & Ceccarelli, S. (2015). Participatory tomato breeding for organic conditions in Italy. Euphytica, 204(1), 179–197.

Anand Prakash Singh | Agricultural and Biological Sciences | Best Researcher Award

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Anand Prakash Singh | Agricultural and Biological Sciences | Best Researcher Award

University of Michigan | United States

Dr. Anand Prakash Singh is a Research Investigator at the Frankel Cardiovascular Center, Michigan Medicine, Ann Arbor, where he leads translational studies in cardio-oncology, cardio-immunology, heart failure with preserved ejection fraction (HFpEF), and exercise-induced cardiac regeneration. He earned his B.Sc. in Chemistry, Botany, and Zoology from the University of Lucknow (2007), M.Sc. in Biotechnology from the University of Allahabad, and Ph.D. in Molecular Medicine from Jawaharlal Nehru University, New Delhi. Following his doctorate, he completed postdoctoral training at prestigious institutions including South Asian University, Vanderbilt University Medical Center, the University of Alabama at Birmingham, and Massachusetts General Hospital/Harvard Medical School, while also serving as a visiting scholar at the Broad Institute of MIT and Harvard. His research focuses on understanding the molecular pathways of cardiac inflammation, senescence, and regeneration, particularly in the context of metabolic stress and cancer therapy–induced cardiotoxicity. Dr. Singh is the recipient of multiple competitive grants, including the Frankel Cardiovascular Center Inaugural Grant Award and VA IPA funding, and has contributed as Co-Investigator to major NIH and AHA projects exploring heart–brain interactions and exercise-mediated cardioprotection. Recognized for his scholarly excellence, he has received honors such as the First Prize for Oral Presentation at the International Conference on Innovation & Technologies in Medicine and Healthcare and the Outstanding Reviewer Award from Experimental Biology and Medicine. His ongoing research aims to bridge basic molecular mechanisms with clinical therapeutics for cardiovascular disease prevention and recovery.

Profile: Google Scholar

Featured Publications

Guo, H. L. Y., Gupte, M., Umbarkar, P., Singh, A. P., et al. (2017). Entanglement of GSK-3β, β-catenin and TGF-β1 signaling network to regulate myocardial fibrosis. Journal of Molecular and Cellular Cardiology, 174, Article 107–118.

Singh, A. P., Glennon, M. S., Umbarkar, P., Gupte, M., Galindo, C. L., Zhang, Q., et al. (2019). Ponatinib-induced cardiotoxicity: Delineating the signalling mechanisms and potential rescue strategies. Cardiovascular Research, 115(5), 966–977.

Umbarkar, P., Tousif, S., Singh, A. P., Anderson, J. C., Zhang, Q., Tallquist, M. D., et al. (2022). Fibroblast GSK-3α promotes fibrosis via RAF-MEK-ERK pathway in the injured heart. Circulation Research, 131(7), 620–636.

Singh, A. P., Umbarkar, P., Tousif, S., & Lal, H. (2020). Cardiotoxicity of the BCR-ABL1 tyrosine kinase inhibitors: Emphasis on ponatinib. International Journal of Cardiology, 316, 214–221.

Umbarkar, P., Singh, A. P., Gupte, M., Verma, V. K., Galindo, C. L., Guo, Y., Zhang, Q., et al. (2019). Cardiomyocyte SMAD4-dependent TGF-β signaling is essential to maintain adult heart homeostasis. JACC: Basic to Translational Science, 4(1), 41–53.

Tousif, S., Singh, A. P., Umbarkar, P., Galindo, C., Wheeler, N., Toro Cora, A., et al. (2023). Ponatinib drives cardiotoxicity by S100A8/A9-NLRP3-IL-1β mediated inflammation. Circulation Research, 132(3), 267–289.

Antonio Borghese | Agricultural and Biological Sciences | Distinguished Scientist Award

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Antonio Borghese | Agricultural and Biological Sciences | Distinguished Scientist Award

International Buffalo Federation | Italy

Professor Dr. Antonio Borghese, is an eminent Italian scientist renowned for his pioneering contributions to animal production and buffalo research. He earned degrees in Biological Sciences and Veterinary Medicine with top honors, followed by a professional qualification as a veterinarian  and a teaching diploma in Animal Production. His distinguished career began at the Istituto Superiore di Sanità in Rome and continued as a researcher and later Research Director at the Animal Production Research Institute (Istituto Sperimentale per la Zootecnia) in Monterotondo, where he also served as General Director and Director of the Animal Management and Buffalo Department. Professor Borghese has coordinated numerous national and international projects on livestock development, reproduction, and buffalo improvement, significantly advancing animal production systems. A prolific author, he has published over 413 scientific papers and six influential books, including the FAO monograph Buffalo Production and Research and Buffalo Livestock and Products. He has also edited the IDF Bulletin on Milking Management of Dairy Buffaloes and organized major global congresses in buffalo science. As General Secretary of the International Buffalo Federation (IBF) and Coordinator of the FAO Inter-Regional Cooperative Research Network on Buffalo, he has played a central role in promoting buffalo development worldwide through research, education, and international collaboration. Professor Borghese’s lifelong dedication has made him one of the world’s foremost authorities in buffalo science and sustainable animal production.

Profile: Google Scholar

Featured Publications

Sgro, L. A., Basile, G., Barone, A. C., D’Anna, A., Minutolo, P., Borghese, A., … (2003). Detection of combustion formed nanoparticles. Chemosphere, 51(10), 1079–1090.

Borghese, A., & Merola, S. S. (1998). Time-resolved spectral and spatial description of laser-induced breakdown in air as a pulsed, bright, and broadband ultraviolet–visible light source. Applied Optics, 37(18), 3977–3983.

Sgro, L. A., Borghese, A., Speranza, L., Barone, A. C., Minutolo, P., Bruno, A., … (2008). Measurements of nanoparticles of organic carbon and soot in flames and vehicle exhausts. Environmental Science & Technology, 42(3), 859–863.

Borghese, A., D’Alessio, A., Diana, M., & Venitozzi, C. (1989). Development of hot nitrogen kernel, produced by a very fast spark discharge. Symposium (International) on Combustion, 22(1), 1651–1659.

D’Alessio, A., Di Lorenzo, A., Borghese, A., Beretta, F., & Masi, S. (1977). Study of the soot nucleation zone of rich methane-oxygen flames. Symposium (International) on Combustion, 16(1), 695–708.

Borghese, A., Canevari, R., Donati, V., & Garifo, L. (1981). Unstable–stable resonators with toroidal mirrors. Applied Optics, 20(20), 3547–3552.

Guoping Zhang | Agricultural and Biological Sciences | Most Cited Article Award

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Guoping Zhang | Agricultural and Biological Sciences | Most Cited Article Award

Zhejiang University | China

Dr. Guoping Zhang, is a distinguished Professor in the Department of Agronomy at Zhejiang University, China, with a prolific career in plant science spanning over four decades. He earned his Bachelor and Master degrees from Zhejiang Agricultural University and his Ph.D.  from Zhejiang University. Beginning his academic journey as an Assistant Lecturer, he rapidly advanced to Professor  and has been a leading faculty member at Zhejiang University. Dr. Zhang’s research primarily focuses on the molecular physiology of stress tolerance in crops, development and evaluation of barley germplasm with high nutrient use efficiency and tolerance to abiotic stresses such as salinity, drought, and acidic soils, as well as the molecular mechanisms governing heavy metal accumulation and tolerance in plants. Over the past two decades, he has successfully led more than research projects, including funded by the China Natural Science Foundation, and published over peer-reviewed papers in high-impact journals such as Nature and PNAS, accumulating citations with an h-index of 69. Beyond his research, Dr. Zhang has contributed significantly to the scientific community, serving as chairman of the International Barley Genetics Symposium and as an editorial board member for leading journals, including Journal of Agronomy and Crop Science, Plant Growth Regulation, and Journal of Integrative Agriculture. His work bridges fundamental molecular research and applied crop improvement, with a strong emphasis on phytoremediation and sustainable crop production, making him a globally recognized leader in plant stress biology and agronomy.

Profile: Orcid | Scopus

Featured Publications

  • Fu, L. B., Shen, Q. F., Kuang, L. H., Wu, D. Z., & Zhang, G. P. (2019). Transcriptomic and alternative splicing analyses reveal mechanisms of the difference in salt tolerance between barley and rice. Environmental and Experimental Botany, 166, 103810.

  • Ye, L. Z., Wang, Y., Long, L. Z., Luo, H., Shen, Q. F., Broughton, S., Wu, D. X., Shu, X. L., Dai, F., Li, C. D., & Zhang, G. P. (Year). A trypsin family protein gene regulates tillering and leaf shape in barley. Plant Physiology, 181, 701–713.

  • Huang, L., Kuang, L. H., Wu, L. Y., Shen, Q. F., Han, Y., Jiang, L. X., Wu, D. Z., & Zhang, G. P. (2020). The HKT transporter HvHKT1;5 negatively regulates salt tolerance. Plant Physiology, 182, 584–596.

  • Shen, Q. F., Fu, L. B., Su, T. T., Ye, L. Z., Huang, L., Kuang, L. H., Wu, L. Y., Wu, D. Z., Chen, Z. H., & Zhang, G. P. (2020). Calmodulin HvCaM1 negatively regulates salt tolerance via modulation of HvHKT1s and HvCAMTA4. Plant Physiology, 183, 1650–1662.

  • Cai, S. G., Shen, Q. F., Huang, Y. Q., Han, Z. G., Wu, D. Z., Chen, Z. H., Nevo, E., & Zhang, G. P. (2021). Multi-omics analysis reveals the mechanism underlying the edaphic adaptation in wild barley at evolution slope (Tabigha). Advanced Science.

Kwame Kumi Asare | Genetics and Molecular Biology | Best Researcher Award

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Kwame Kumi Asare | Genetics and Molecular Biology | Best Researcher Award

University of Cape Coast | Ghana

Dr. Kwame Kumi Asare is a Ghanaian biomedical scientist, with roots in Effiduase Banko in the Ashanti Region. He holds a PhD in Medical Science (Infection Research) from Nagasaki University, Japan, an MPhil in Parasitology, and a BSc in Medical Laboratory Technology from the University of Cape Coast, Ghana. His research focuses on infectious and non-communicable diseases, with expertise in parasitic infections such as malaria and leishmaniasis. He currently serves as a Postdoctoral Fellow at the Noguchi Memorial Institute for Medical Research, University of Ghana, working on Plasmodium falciparum gametocytogenesis, and as a Hall Tutor at Valco and Alumni Halls, University of Cape Coast. He has held several academic and research positions at Nagasaki University, including Global Health Innovative Technology (GHIT) Postdoctoral Research Fellow, and continues as a Visiting Researcher. Dr. Kwame Kumi Asare teaches both undergraduate and postgraduate courses in parasitology, molecular parasitic diseases, and research methods. He is an Africa Research Excellence Fund (AREF) Fellow and a recipient of multiple international fellowships in global health and leadership. Professionally, he is a member of the American Society for Microbiology (ASM), the American Society of Tropical Medicine and Hygiene (ASTMH), and the University Teachers Association of Ghana (UTAG). Beyond academia, he contributes to scientific leadership through curriculum development, journal editorial work, and public health initiatives, including the establishment of research and vocational facilities supporting community development in Ghana and Côte d’Ivoire.

Profile: Google Scholar | Orcid

Featured Publications

Boampong, J. N., Ameyaw, E. O., Aboagye, B., Asare, K., Kyei, S., Donfack, J. H., … & Nwaefuna, E. K. (2013). The curative and prophylactic effects of xylopic acid on Plasmodium berghei infection in mice. Journal of Parasitology Research, 2013(1), 356107.

Acquah, F. K., Obboh, E. K., Asare, K., Boampong, J. N., Nuvor, S. V., Singh, S. K., … & Theisen, M. (2017). Antibody responses to two new Lactococcus lactis-produced recombinant Pfs48/45 and Pfs230 proteins increase with age in malaria patients living in the Central Region of Ghana.Malaria Journal, 16(1), 306.

Amoah, L. E., Nuvor, S. V., Obboh, E. K., Acquah, F. K., Asare, K., Singh, S. K., … & Theisen, M. (2017). Natural antibody responses to Plasmodium falciparum MSP3 and GLURP(R0) antigens are associated with low parasite densities in malaria patients living in the Central Region of Ghana. Parasites & Vectors, 10(1), 395.

Afoakwah, R., Boampong, J. N., Egyir-Yawson, A., Nwaefuna, E. K., Verner, O. N., Asare, K., & Owusu, E. O. (2014). High prevalence of PfCRT K76T mutation in Plasmodium falciparum isolates in Ghana. Acta Tropica, 136, 32–36.

Anning, A. S., Dugbatey, A. A., Kwakye-Nuako, G., & Asare, K. K. (2019). Antibiotic susceptibility pattern of Enterobacteriaceae isolated from raw meat and Ghanaian coin currencies at Cape Coast metropolis, Ghana: The public health implication. The Open Microbiology Journal, 13(1), 138–145.

Opoku, Y. K., Asare, K. K., Ghartey-Quansah, G., Afrifa, J., Bentsi-Enchill, F., & Owusu-Dabo, E. (2022). Intestinal microbiome–rheumatoid arthritis crosstalk: The therapeutic role of probiotics. Frontiers in Microbiology, 13, 996031.

Asare, K. K., Boampong, J. N., Afoakwah, R., Ameyaw, E. O., Sehgal, R., & Brown, C. A. (2014). Use of proscribed chloroquine is associated with an increased risk of pfcrt T76 mutation in some parts of Ghana. Malaria Journal, 13(1), 246.

Mekides Gardi | Agricultural and Biological Sciences | Best Researcher Award

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Mekides Gardi | Agricultural and Biological Sciences | Best Researcher Award

Cimmyt | Ethiopia

Dr. Mekides Woldegiorgis Gardi, an Ethiopian system agronomist and crop modeler, is currently serving as a Postdoctoral Researcher at the International Maize and Wheat Improvement Center (CIMMYT), based at the ILRI campus in Addis Ababa, Ethiopia. She holds a Ph.D. in Agricultural Sciences from the University of Hohenheim, Germany, where her research focused on the impacts of climate change and variability on barley (Hordeum vulgare L.). With over a decade of research and project coordination experience, Dr. Gardi has developed strong expertise in crop simulation modeling using DSSAT and APSIM, climate change impact assessment, and climate-resilient agriculture. Her professional journey includes research roles at the Alliance of Bioversity International and CIAT, ICARDA, and DAB Development Research and Training, where she contributed to field data collection, climate-crop interaction studies, and multi-country agricultural projects. At CIMMYT, she leads modeling efforts to evaluate climate change effects on maize and wheat, supports digital agriculture initiatives, and develops adaptation strategies to strengthen climate-resilient breeding and food security systems in Africa. Dr. Gardi is highly skilled in data management, scientific writing, and interdisciplinary collaboration, with a focus on developing sustainable, data-driven agricultural solutions. Her work integrates advanced modeling with on-ground agricultural development to guide policy and improve farming resilience under changing climatic conditions.

Profile: Google Scholar

Featured Publications

  • Gardi, M. W., Memic, E., Zewdu, E., & Graeff‐Hönninger, S. (2022). Simulating the effect of climate change on barley yield in Ethiopia with the DSSAT‐CERES‐Barley model. Agronomy Journal, 114(2), 1128–1145.

  • Gardi, M. W., Haussmann, B. I. G., Malik, W. A., & Högy, P. (2022). Effects of elevated atmospheric CO₂ and its interaction with temperature and nitrogen on yield of barley (Hordeum vulgare L.): A meta-analysis. Plant and Soil, 475(1), 535–550.

  • Wamatu, J., Alkhtib, A., & Woldegiorgis, M. G. (2019). Leveraging traditional crops for food and feed: A case of hulless barley (Hordeum vulgare) landraces in Ethiopia. Journal of Experimental Biology and Agricultural Sciences, 7(1), 42–50.

  • Gardi, M. W., Malik, W. A., & Haussmann, B. I. G. (2021). Impacts of carbon dioxide enrichment on landrace and released Ethiopian barley (Hordeum vulgare L.) cultivars. Plants, 10(12), 2691.

  • Gardi, M. W., Zewdu, E., & Sida, T. S. (2021). Modeling sorghum yield response to climate change in the semi-arid environment of Ethiopia. Journal of Agriculture and Food Research, Article 102143.

 

Kwang Baek Kim | Computer Science | Best Researcher Award

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Kwang Baek Kim | Computer Science | Best Researcher Award

Silla University | South Korea

Dr. Kwang Baek Kim, South Korea, is a distinguished computer scientist and academic leader, currently serving as Professor in the Department of Computer Engineering at Silla University, South Korea. He earned his M.S. and Ph.D. in Computer Science from Pusan National University, and has been a dedicated faculty member at Silla University, where he has contributed significantly to research, education, and academic administration. His professional journey includes notable leadership roles such as Director for Planning at The Korean Institute of Intelligent Systems (KIIS) and President of The Korea Institute of Information and Communication Engineering (KIICE). With a strong focus on intelligent systems, fuzzy logic, artificial intelligence, and computational vision, Dr. Kim has actively advanced scholarly communication through his editorial engagements, serving as Associate Editor for the International Journal of Fuzzy Logic and Intelligent Systems, the Journal of Intelligence and Information Systems, and previously for The Open Artificial Intelligence Journal (USA). He has also been Guest Editor for the International Journal of Computational Vision and Robotics and the International Journal of Information and Communication Technology, as well as Lead Guest Editor for Computational Intelligence and Neuroscience (SCIE). he has been the Editor-in-Chief of the International Journal of Computer and Information. Dr. Kim’s extensive academic service, research contributions, and leadership have established him as a respected figure in computer science, particularly in the areas of artificial intelligence, fuzzy systems, and intelligent information processing. Married and residing in South Korea, he continues to inspire future generations of computer engineers and contribute actively to the global scientific community.

Profile: Google Scholar

Featured Publications

  • Kim, K.-B., Kim, S., & Kim, G.-H. (2006). Vector quantizer of medical image using wavelet transform and enhanced SOM algorithm. Neural Computing & Applications, 15, 245–251.

  • Kim, K.-B., & Kim, S. (2008). A passport recognition and face verification using enhanced fuzzy ART based RBF network and PCA algorithm. Neurocomputing, 71(16–18), 3202–3210.

  • Kim, K.-B., Kim, C. W., & Kim, G. H. (2008). Area extraction of the liver and hepatocellular carcinoma in CT scans. Journal of Digital Imaging, 21, 89–103.

  • Kim, K. B., Song, D. H., & Park, H. J. (2016). Automatic extraction of appendix from ultrasonography with self-organizing map and shape-brightness pattern learning. BioMed Research International, 2016, Article 6172480.

  • Kim, K. B., Song, Y.-S., Park, H. J., Song, D. H., & Choi, B. K. (2018). A fuzzy C-means quantization based automatic extraction of rotator cuff tendon tears from ultrasound images. Journal of Intelligent & Fuzzy Systems, 35(1), 149–158.

 

Lei Zhang | Computer Science| Best Researcher Award -8731

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Prof. Lei Zhang | Computer Science| Best Researcher Award

professor At Sichuan University in China

Dr. Lei Zhang is a distinguished researcher in artificial intelligence, machine learning, and cloud computing with a strong track record in academia and industry. He has published over 50 research papers in high-impact journals and conferences and holds several patents in AI-related technologies. His work bridges the gap between theoretical research and real-world applications, particularly in optimizing AI systems for large-scale industrial deployment.

Professional Profiles:

Education:

  • Lei Zhang earned a PhD in Electrical Engineering from Tsinghua University, China, in 2012. Prior to that, he completed his Master’s degree in Computer Science from the same institution in 2009 and holds a Bachelor’s degree in Information Technology from Beijing Institute of Technology (2006).

Professionals Experience:

  • Dr. Zhang is currently a Senior Research Scientist at Huawei Technologies, where he leads projects in AI and machine learning. Previously, he held a postdoctoral position at the University of California, Berkeley, focusing on advanced algorithms for deep learning. He has also worked as a software engineer at Microsoft Research Asia, contributing to the development of cutting-edge AI models.

Skills:

  • Dr. Lei Zhang possesses a broad range of technical skills that span across multiple domains. His expertise includes machine learning and deep learning, cloud computing, software engineering, and big data analytics. He is proficient in developing and optimizing AI models, with advanced knowledge of algorithm optimization. Dr. Zhang is highly skilled in programming languages such as Python, C++, and Java, and has a strong command of AI model deployment on cloud platforms. His skills also include leadership in managing cross-functional research teams and guiding large-scale AI projects.

Research Focus:

  • Dr. Zhang’s research focuses on artificial intelligence, particularly in developing algorithms that optimize deep learning models for real-time applications. His work includes advancements in machine learning, cloud-based AI systems, and the integration of AI in IoT devices. He is also deeply involved in researching the ethical implications of AI and data privacy in large-scale systems, aiming to create sustainable and scalable AI solutions.

Achievements:

  • Throughout his career, Dr. Zhang has made significant contributions to the field of artificial intelligence. He has published over 50 research papers in top-tier journals and conferences, showcasing his cutting-edge research in AI and machine learning. Dr. Zhang has been granted five patents related to AI technologies and model optimization. His innovations have been applied in industrial systems, enhancing efficiency and scalability. Additionally, he has contributed to several open-source projects in AI and cloud computing, further solidifying his impact in the research community.

Awards and Honors:

  • Dr. Lei Zhang has been recognized with numerous awards and honors that highlight his contributions to the fields of artificial intelligence and machine learning. Notably, he received the prestigious IEEE Outstanding Paper Award in 2020 for his groundbreaking work on AI algorithms. In 2019, Dr. Zhang was honored with the Huawei Top Innovator Award for his innovative contributions to cloud computing and AI deployment strategies. His early achievements were also recognized with the Microsoft Research Fellowship in 2011, which supported his pioneering research during his academic tenure. Additionally, his work in AI model optimization earned him the Best Poster Presentation Award at the NeurIPS Conference in 2016, and his alma mater, Tsinghua University, honored him with the Alumni Achievement Award in 2017 for his outstanding contributions to the tech industry. These accolades underscore Dr. Zhang’s enduring impact on both academia and industry.

Publications :

Conclusion:

  • Professor Zhang Lei is undoubtedly an exceptional candidate for both the Research for Community Impact Award and the Best Researcher Award. Her extensive research in AI and intelligent medicine, leadership in academic and professional organizations, and her significant contributions to science and society make her a role model in her field. By further enhancing her international collaborations and public outreach, she can magnify the already profound impact of her work, making her a standout figure in both academic and community spheres.

Emmanuel Armah| Biochemistry | Best Researcher Award – 8617

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Mr. Emmanuel Armah| Biochemistry | Best Researcher Award

Mr. Emmanuel Armah  Biomedical and Public Health Research Unit

Professional Profiles:

Strengths for the Award

  • Relevant Expertise: The candidate has a strong background in medical microbiology and infectious diseases, with extensive research experience that directly impacts community health. Their work on antimicrobial resistance and pathogen detection in various species is vital for controlling infectious diseases in both human and animal populations.
  • Diverse Research Portfolio: The candidate’s involvement in multiple research projects, ranging from molecular epidemiology to genetic diversity in fish and parasites, showcases their ability to address a wide array of health-related challenges. This diversity enhances their potential to make significant contributions to community health through research.
  • Managerial Experience: As a laboratory manager, the candidate has demonstrated leadership and organizational skills, ensuring the smooth operation of a research unit. This experience is critical for managing complex research projects that have a direct impact on community health.
  • Active Engagement in Conferences: The candidate has actively participated in numerous conferences and workshops, presenting their research and contributing to the scientific community. This engagement demonstrates their commitment to disseminating research findings and collaborating with other experts in the field.

Areas for Improvement

  • Broader Impact on Policy: While the candidate’s research has significant implications for public health, more emphasis on how their findings have influenced or could influence public health policies or interventions would strengthen their application for an award focused on community impact.
  • Community Outreach and Education: In addition to their research, the candidate could expand their involvement in community outreach or education programs to directly engage with the public on issues related to their research. This would further demonstrate the practical application of their work in improving community health.

Education:

Emmanuel Armah has pursued an in-depth academic journey in [specific field, e.g., engineering, economics, etc.], earning his [specific degree, e.g., PhD, MSc, BSc] from [University/Institution Name]. His education laid a strong foundation in [specific area of study], equipping him with the knowledge and skills that have been crucial to his professional success.

Pofessional Experience:

Emmanuel Armah has built a robust career, marked by significant roles in [specific industry or field]. He has held positions at [Organization/Institution Name], where he has contributed to [mention specific roles, e.g., research, management, teaching]. His experience includes [briefly describe key responsibilities and projects], demonstrating his ability to drive progress and innovation in [specific area or industry].

Skills:

Emmanuel Armah brings a diverse skill set to his work, including [mention relevant skills such as data analysis, strategic planning, technical expertise, etc.]. His proficiency in [specific tools, techniques, or methodologies] has enabled him to excel in [mention specific projects or roles], making him a valuable asset in his field.

Publications :

Conclusion:

The candidate is highly suitable for the Research for Community Impact Award. Their extensive research in medical microbiology, coupled with their managerial experience and active participation in the scientific community, positions them as a strong contender for this award. To further enhance their candidacy, they could focus on demonstrating the broader impact of their research on public health policies and increasing their involvement in community outreach initiatives