Matias avila | Medicine and Dentistry | Best Researcher Award

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Matias avila | Medicine and Dentistry | Best Researcher Award

PROFESSOR, SENIOR RESEARCHER, DEPARTMENT CO-DIRECTOR at  CIMA. UNIVERSITY OF NAVARRA , Spain.

Matias A. Avila is a distinguished Spanish biochemist and pharmacologist renowned for his groundbreaking research on liver diseases and carcinogenesis. He holds the position of Professor and Department Co-Director at the University of Navarra, where he has made significant contributions to understanding insulin signaling and oncogenic pathways. With an impressive H-index of 63 and over 11,245 citations across 203 publications, his work continues to influence the scientific community. Avila’s leadership extends beyond research, as he actively mentors young scientists and collaborates with industry leaders to translate academic findings into clinical applications. His commitment to scientific excellence is evident through numerous funded research projects and his roles in various scientific committees. Matias Avila’s career reflects a dedication to advancing biomedical research and improving health outcomes, positioning him as a leading figure in his field.

Profile👤

Scopus

ORCID

Education📝

Matias A. Avila completed his Pharm. D. degree at Universidad Complutense in Madrid, Spain, in July 1988, specializing in Pharmacological Sciences. He furthered his academic journey by earning a Ph.D. in Biochemistry from the same institution in July 1992. His doctoral research focused on insulin signaling mechanisms and gene regulation, conducted at the Institute for Biomedical Research (IIB) of the National Research Council (CSIC). This foundational education equipped him with a strong understanding of biochemistry and pharmacology, paving the way for his future research endeavors. Avila’s educational background reflects a rigorous academic training that underpins his extensive contributions to liver disease and cancer research. His commitment to education continues through mentoring roles, where he shares his expertise with students and emerging researchers, fostering the next generation of scientists in the field.

 Experience👨‍🏫

Matias A. Avila possesses extensive academic and research experience, primarily at the University of Navarra, where he has served in various capacities since 1998. He started as an Assistant Professor and progressed to Associate Professor and ultimately Full Professor in the Department of Medicine. His leadership roles include Co-Director of the Solid Tumors Program and Director of the Hepatology Program at CIMA-University of Navarra. Avila’s postdoctoral training at Georgetown University enriched his understanding of oncogenic pathways, which he later applied to his research on liver disease. His experience also encompasses collaborations with industry leaders, enhancing translational research efforts. Additionally, his involvement in scientific committees and advisory boards showcases his commitment to advancing research in metabolic and digestive diseases. This rich experience enables him to contribute effectively to academic discussions and shape research initiatives at both national and international levels.

Research Interest🔬 

Matias A. Avila’s research interests are centered on liver diseases and cancer, with a particular focus on understanding the mechanisms of insulin signaling and the pathways involved in carcinogenesis. His groundbreaking studies have significantly advanced knowledge in liver regeneration, the role of bile acids in cancer, and epigenetic mechanisms in hepatobiliary tumors. He has been involved in high-impact research projects, including developing peptidomimetics for non-alcoholic steatohepatitis and precision medicine for cholangiocarcinoma. Avila’s work emphasizes translational research, aiming to convert scientific discoveries into practical applications for improving patient outcomes. His collaboration with industry giants like Moderna Therapeutics reflects his commitment to integrating academic research with innovative therapies. By focusing on areas with significant clinical relevance, Avila aims to enhance early diagnostic tools and treatment strategies for hepatobiliary malignancies, thus contributing to better health solutions and improved quality of life for patients.

Awards and Honors🏆

Throughout his career, Matias A. Avila has received numerous accolades recognizing his contributions to biochemistry and pharmacology. Notably, he earned an extraordinary prize for his Ph.D. dissertation, highlighting his early promise in research. His high H-index of 63 and over 11,245 citations reflect his significant impact on the scientific community, with many of his publications recognized in top-tier journals. Avila’s leadership roles, such as Coordinator of the “Metabolic and Digestive Diseases” area and his positions on various scientific committees, further underscore his standing in the field. His involvement in prestigious research projects, funded by notable organizations, showcases the value of his work. These awards and honors not only recognize Avila’s individual achievements but also emphasize his commitment to advancing research in liver diseases and cancer, making him a highly respected figure in the scientific community.

Skills🛠️

Matias A. Avila possesses a diverse skill set that underpins his successful career in biochemistry and pharmacology. His expertise in insulin signaling, gene regulation, and carcinogenesis is complemented by his strong analytical and problem-solving abilities, allowing him to navigate complex scientific challenges effectively. Avila’s proficiency in experimental design and data analysis has led to numerous high-impact publications and successful research projects. His leadership and mentorship skills enable him to guide young scientists and foster collaborative research environments. Additionally, Avila’s experience in industry collaborations enhances his ability to translate academic findings into practical applications, particularly in developing innovative therapies. His strong communication skills facilitate effective engagement with various stakeholders, from students to industry partners and scientific committees. Overall, these skills contribute significantly to his reputation as a leading researcher and mentor in his field.

Conclusion 🔍 

In conclusion, Matias A. Avila stands out as an exemplary candidate for the Best Researcher Award due to his extensive academic background, impactful research contributions, and commitment to mentorship. His innovative work in liver disease and cancer has advanced scientific understanding and translated into practical applications, benefiting patients and the broader community. Avila’s leadership roles and collaborations with industry reflect his dedication to fostering a collaborative research environment and bridging the gap between academia and clinical practice. His impressive publication record, high citation metrics, and recognition through various awards underscore his significant influence in the field of biochemistry and pharmacology. As a mentor and leader, Avila continues to inspire and shape the next generation of scientists, solidifying his legacy in the scientific community. His combination of research excellence, leadership, and commitment to mentorship make him a deserving candidate for this prestigious recognition.

Publication Top Notes

Title: Exploring current and emerging therapies for porphyrias
Authors: Jericó, D., Córdoba, K.M., Urigo, F., Ávila, M.A., Fontanellas, A.
Year: 2024
Citation: Liver International, 2024, 44(9), pp. 2174–2190.

Title: Caspases compromise SLU7 and UPF1 stability and NMD activity during hepatocarcinogenesis
Authors: Rojo, C., Gárate-Rascón, M., Recalde, M., Arechederra, M., Berasain, C.
Year: 2024
Citation: JHEP Reports, 2024, 6(8), 101118.

Title: Strategies to enhance the response of liver cancer to pharmacological treatments
Authors: Marin, J.J.G., Macias, R.I.R., Asensio, M., Efferth, T., Briz, O.
Year: 2024
Citation: American Journal of Physiology – Cell Physiology, 2024, 327(1), pp. C11–C33.

Title: Refinement of paramagnetic bead-based digestion protocol for automatic sample preparation using an artificial neural network
Authors: Ciordia, S., Santos, F.M., Dias, J.M.L., Ávila, M.A., Corrales, F.
Year: 2024
Citation: Talanta, 2024, 274, 125988.

Title: Application of Graph Models to the Identification of Transcriptomic Oncometabolic Pathways in Human Hepatocellular Carcinoma
Authors: Barace, S., Santamaría, E., Infante, S., Ávila, M.A., Argemi, J.
Year: 2024
Citation: Biomolecules, 2024, 14(6), 653.

Title: Considering nutritional status to improve outcomes of patients treated by atezolizumab–bevacizumab for advanced hepatocellular carcinoma
Authors: Allaire, M., Ávila, M.A.
Year: 2024
Citation: Liver International, 2024, 44(6), pp. 1276–1277.

Title: New insights into the regulation of bile acids synthesis during the early stages of liver regeneration: A human and experimental study
Authors: Uriarte, I., Santamaria, E., López-Pascual, A., Herrero, I., Ávila, M.A.
Year: 2024
Citation: Biochimica et Biophysica Acta – Molecular Basis of Disease, 2024, 1870(5), 167166.

Title: SUMOylation controls Hu antigen R posttranscriptional activity in liver cancer
Authors: Lachiondo-Ortega, S., Rejano-Gordillo, C.M., Simon, J., Rodríguez, M.S., Martínez-Chantar, M.L.
Year: 2024
Citation: Cell Reports, 2024, 43(3), 113924.

Title: Comprehensive in silico CpG methylation analysis in hepatocellular carcinoma identifies tissue- and tumor-type specific marks disconnected from gene expression
Authors: Bilbao, I., Recalde, M., Daian, F., Berasain, C., Arechederra, M.
Year: 2024
Citation: Journal of Physiology and Biochemistry, 2024.

Title: Identification of PRMT5 as a therapeutic target in cholangiocarcinoma
Authors: Elurbide, J., Colyn, L., Latasa, M.U., Fernández-Barrena, M.G., Ávila, M.A.
Year: 2024
Citation: Gut, 2024, gutjnl-2024-332998.

Mrim M. Alnfiai | Human Computer Interaction | Best Researcher Award

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Mrim M. Alnfiai | Human Computer Interaction | Best Researcher Award

Assistant Professor at Taif University, Saudi Arabia.

Mariam M. Alnfiai is an accomplished academic and researcher in the field of Computer Science, with over 14 years of experience in teaching, research, and administration. Currently serving as an Associate Professor in the Information Technology department at Taif University, she specializes in Human-Computer Interaction, accessibility, data security, and artificial intelligence. Her notable contributions to the field include multiple published research papers in reputable journals and her involvement in various funded research projects. Alnfiai is recognized for her dedication to education and research excellence, making her a prominent figure in the academic community.

Profile👤

Scopus

Education📝

Mariam Alnfiai holds a PhD and a Master’s degree in Computer Science from Dalhousie University, Canada, where she focused on Human-Computer Interaction and NFC technology. She also earned her Bachelor’s degree in Computer Science from Taif University, achieving a commendable GPA. Her continuous pursuit of knowledge is evident through her certifications, including Project Management Practitioner and Academic Quality Practitioner. Alnfiai’s educational background equips her with the skills and knowledge to excel in her professional roles and contribute significantly to her research endeavors.

 Experience👨‍🏫

With over 14 years in the IT field, Mariam Alnfiai has held various academic and administrative roles at Taif University, including Vice Chair of the IT Department. Her experience spans teaching both undergraduate and graduate courses in computer science, focusing on advanced research methodologies and human-computer interaction. She has supervised numerous research projects and served as a reviewer for multiple international journals, further demonstrating her expertise and commitment to advancing research in her field. Her administrative roles have also allowed her to influence departmental strategies and academic standards significantly.

Research Interest🔬 

Mariam Alnfiai’s research interests lie primarily in Human-Computer Interaction, accessibility, and usable security. She is particularly focused on developing assistive technologies that enhance the user experience for individuals with disabilities, including innovations in Braille text entry and NFC-based applications. Her work also encompasses data security and privacy, artificial intelligence, and data analytics. Through her research, Alnfiai aims to bridge the gap between technology and usability, ensuring that her contributions have a meaningful impact on society.

Awards and Honors🏆

Throughout her career, Mariam Alnfiai has received numerous accolades for her contributions to academia and research. She is recognized as a UK Fellow by AdvanceHE, reflecting her commitment to leadership and educational excellence. Additionally, her involvement in various funded research projects has earned her recognition within her institution and the broader academic community. These honors, combined with her extensive publication record in esteemed journals, highlight her dedication to advancing knowledge and innovation in her field.

Skills🛠️

Mariam Alnfiai possesses a diverse skill set that complements her academic and research endeavors. She is proficient in programming languages such as Java, PHP, and JavaScript, and is experienced with various development tools, including Android Studio and Microsoft Visual Studio. Her strong analytical and problem-solving abilities enable her to tackle complex challenges in her research. Additionally, Alnfiai is an effective communicator and collaborator, capable of leading research teams and engaging with industry partners to enhance the practical applications of her work.

Conclusion 🔍 

Mariam M. Alnfiai is a distinguished researcher and educator whose extensive experience and academic accomplishments make her a significant contributor to the field of Computer Science. Her focus on Human-Computer Interaction and accessibility, coupled with her technical skills and leadership roles, positions her as a leading figure in advancing research and education. With a commitment to innovation and excellence, Alnfiai continues to inspire future generations of students and researchers, making her a deserving candidate for recognition in her field.

Publication Top Notes

Title: Transition-aware human activity recognition using an ensemble deep learning framework
Year: 2025
Authors: Khan, S.I., Dawood, H., Khan, M.A., Alnfiai, M.M., Adnan, K.M.
Citation: Computers in Human Behavior, 162, 108435.

Title: Exploring the impact of word prediction assistive features on smartphone keyboards for blind users
Year: 2024
Authors: Alnfiai, M.M., Kabir, M.A.
Citation: Heliyon, 10(17), e36653.

Title: A deep learning framework for the early detection of multi-retinal diseases
Year: 2024
Authors: Ejaz, S., Baig, R., Ashraf, Z., Alnahari, M.M., Alotaibi, R.M.
Citation: PLoS ONE, 19(7), e0307317.

Title: Chat-GPT; validating Technology Acceptance Model (TAM) in education sector via ubiquitous learning mechanism
Year: 2024
Authors: Saif, N., Khan, S.U., Shaheen, I., Alnfiai, M.M., Arif, M.
Citation: Computers in Human Behavior, 154, 108097.

Title: Textual emotion analysis using improved metaheuristics with deep learning model for intelligent systems
Year: 2024
Authors: Alohali, M.A., Alasmari, N., Almalki, N.S., Assiri, M., Abdelbagi, S.
Citation: Transactions on Emerging Telecommunications Technologies, 35(4), e4846.

Title: Applications of artificial intelligence in environmental resource business management and sustainability
Year: 2024
Authors: Naim, A., Mohammed, A., Fatima, N., Alnfiai, M.M., Malik, P.K.
Citation: AI Applications for Business, Medical, and Agricultural Sustainability, pp. 1–22.

Title: Transforming Transportation: Safe and Secure Vehicular Communication and Anomaly Detection with Intelligent Cyber-Physical System and Deep Learning
Year: 2024
Authors: Aleisa, H.N., Alrowais, F., Allafi, R., Motwakel, A., Ibrahim, S.S.
Citation: IEEE Transactions on Consumer Electronics, 70(1), pp. 1736–1746.

Title: Harnessing AI and analytics to enhance cybersecurity and privacy for collective intelligence systems
Year: 2024
Authors: Naeem, M.R., Amin, R., Farhan, M., Sampedro, G.A., Karovič, V.
Citation: PeerJ Computer Science, 10, e2264.

Title: Innovative Insect Detection and Classification for the Agricultural Sector Using Gannet Optimization Algorithm with Deep Learning
Year: 2024
Authors: Al-Shahari, E.A., Aldehim, G., Sharaf Almalki, N., Sayed, A., Alnfiai, M.M.
Citation: IEEE Access, 12, pp. 108041–108051.

Title: GenVis: Visualizing Genre Detection in Movie Trailers for Enhanced Understanding
Year: 2024
Authors: Shaukat, F., Ejaz, N., Ashraf, Z., Alnahari, M.M., Alotaibi, R.M.
Citation: IEEE Access, 12, pp. 103176–103191.

Janbhasha Shaik | Blockchain Technology | Best Researcher Award

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Janbhasha Shaik | Blockchain Technology | Best Researcher Award

Assistant Professor at KLEF VIJAYAWADA, India.

Dr. Shaik Janbhasha is a dedicated academician and researcher with over 18 years of experience in computer science and engineering. Currently serving as an Assistant Professor at Koneru Lakshmaiah Education Foundation, he has contributed significantly to academia both in India and internationally, particularly during his tenure in Ethiopia under a UNDP initiative. His research interests include deep learning, artificial intelligence, and neural networks, focusing on real-world applications such as health diagnostics. Dr. Janbhasha’s commitment to education is evident through his consistent track record of excellent student results and recognition as a top faculty member. He has been honored with several awards for his teaching excellence, and his ongoing research endeavors reflect his passion for innovation in technology.

Profile👤

Scopus

Education📝

Dr. Shaik Janbhasha holds a Ph.D. in Computer Science and Engineering from Acharya Nagarjuna University, where he is exploring deep learning methods for ECG classification. He completed his M.Tech in Computer Science from Jawaharlal Nehru Technological University, securing the top position in his college. His academic journey began with a B.Tech from Kakatiya University, where he achieved the second rank in his university. His educational background showcases a strong foundation in computer science, bolstered by consistent academic excellence throughout his studies. Additionally, he has completed his intermediate education as a gold medalist and holds a strong record in secondary education. Dr. Janbhasha’s educational achievements demonstrate not only his knowledge but also his commitment to academic excellence and his dedication to lifelong learning.

 Experience👨‍🏫

Dr. Shaik Janbhasha has amassed a wealth of experience over 18 years in the field of education and research. Currently, he serves as an Assistant Professor in the School of Computing at Koneru Lakshmaiah Education Foundation, where he began his role in October 2023. Prior to this, he was a Lecturer at Assosa University in Ethiopia, contributing to the United Nations Development Program’s sustainable development goals from 2014 to 2023. His experience also includes positions as an Associate Professor and Head of the IT Department at Laqshya Institute of Tech & Sciences, and various roles at other educational institutions in Telangana. His diverse teaching roles have equipped him with invaluable insights into the educational sector, while his international experience highlights his adaptability and commitment to global educational initiatives. Dr. Janbhasha’s extensive experience in academia positions him as a seasoned educator and a knowledgeable researcher.

Research Interest🔬 

Dr. Shaik Janbhasha’s primary research interests lie in the realms of deep learning, artificial intelligence, and neural networks. His doctoral research focuses on using deep learning generative adversarial networks (GANs) for ECG classification to detect arrhythmia. This innovative work has significant implications for healthcare technology, demonstrating his commitment to applying theoretical concepts to real-world problems. Additionally, he has worked on projects involving the prediction of health conditions, such as breast cancer and diabetes, utilizing artificial neural networks. His research not only contributes to academic knowledge but also has the potential to impact public health positively. Dr. Janbhasha’s dedication to exploring emerging technologies and their applications showcases his passion for advancing the field of computer science and engineering.

Awards and Honors🏆

Dr. Shaik Janbhasha has received numerous accolades throughout his academic career, reflecting his commitment to excellence in education and research. He was recognized as the Best Faculty at Assosa University in 2015 and received the Best Faculty Award in 2008 from SRR Engineering College, underscoring his effectiveness as an educator. His consistent achievement of 100% results in undergraduate and postgraduate subjects is a testament to his dedication to student success. Additionally, he has been ratified as an Assistant Professor by JNT University Hyderabad on two occasions, further validating his academic qualifications. His educational accomplishments also include being a gold medalist and a top-ranking student in his intermediate and postgraduate studies. Dr. Janbhasha’s awards and honors highlight his significant contributions to academia and his passion for fostering student learning.

Skills🛠️

Dr. Shaik Janbhasha possesses a diverse set of skills that enhance his effectiveness as a researcher and educator. He is proficient in programming languages such as C, Python, PHP, and Prolog, which are essential for developing software and conducting research in artificial intelligence and deep learning. Additionally, his expertise in operating systems, including Windows and Ubuntu, and database management with MySQL, further strengthens his technical competencies. Dr. Janbhasha has taught various subjects, including artificial intelligence, machine learning, and network security, demonstrating his comprehensive understanding of computer science. His leadership skills are evident through his roles in coordinating projects and leading departments, while his professional memberships in organizations such as the Computer Society of India and the International Association of Engineers highlight his commitment to continuous professional development and networking within the academic community.

Conclusion 🔍 

In conclusion, Dr. Shaik Janbhasha emerges as a prominent candidate for the Best Researcher Award due to his extensive experience, robust educational background, and significant contributions to research and teaching. His dedication to advancing knowledge in computer science, particularly in deep learning and its applications, showcases his commitment to making a positive impact on society. With numerous accolades and a proven track record of excellence in education, Dr. Janbhasha exemplifies the qualities of a leading researcher. His ongoing pursuit of knowledge and commitment to fostering student success highlight his potential for further contributions to academia. As a passionate educator and a dedicated researcher, Dr. Janbhasha is well-positioned to continue making significant strides in the field of computer science and engineering.

Publication Top Notes

Title: A private Ethereum blockchain for organ donation and transplantation based on intelligent smart contracts
Authors: Sitharamulu, V., Sucharitha, G., Nandan Mohanty, S., Janbhasha, S., Kothandaraman, D.
Year: 2024
Citation: Egyptian Informatics Journal, 28, 100542.

Title: Arrhythmia Detection Using ECG-Based Classification with Prioritized Feature Subset Vector-Associated Generative Adversarial Network
Authors: Shaik, J., Bhavanam, S.N.
Year: 2023
Citation: SN Computer Science, 4(5), 519.

Title: Recurrent Ascendancy Feature Subset Training Model using Deep CNN Model for ECG based Arrhythmia Classification
Authors: Janbhasha, S., Bhavanam, S.N.
Year: 2023
Citation: International Journal of Advanced Computer Science and Applications, 14(5), pp. 639–647.

Title: GAN-Based Data Imbalance Techniques for ECG Synthesis to Enhance Classification Using Deep Learning Techniques and Evaluation
Authors: Janbhasha, S., Bhavanam, S.N., Harshita, K.
Year: 2023
Citation: 2023 3rd International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2023.

Title: A Comparative Analysis of the Feature Selection Process Using Deep Learning Methods for Arrhythmia
Authors: Janbhasha, S., Bhavanam, S.N.
Year: 2023
Citation: 2023 IEEE International Students’ Conference on Electrical, Electronics and Computer Science, SCEECS 2023.

Title: Identification of Generative Adversarial Network Forms, Open Issues, and Future Study Areas: A Study
Authors: Benti, D.M., Janbhasha, S., Desisa, E.G.
Year: 2023
Citation: Lecture Notes in Networks and Systems, 517, pp. 303–313.

Title: Identifying Learning Standards of Artificial Neural Networks: A Study
Authors: Desisa, E.G., Janbhasha, S., Meru, G.A.
Year: 2022
Citation: Smart Innovation, Systems and Technologies, 248, pp. 225–239.