Vibhor Garg | Deep Learning and AI | Best Researcher Award

Posted on by Academic achievements

Mr. Vibhor Garg | Deep Learning and AI | Best Researcher Award

Senior Data Analyst at AXA XL, India

Vibhor Garg is a dynamic and innovative professional with a strong background in computer science and data analysis. With a Bachelor of Technology in Computer Science Engineering and additional studies in Programming and Data Science, he possesses a robust academic foundation that complements his extensive practical experience. His professional journey includes significant roles in both the academic and corporate spheres, where he has demonstrated a remarkable ability to apply his technical expertise to real-world challenges. Known for his problem-solving skills and leadership, he has made substantial contributions through research and industry work, particularly in the fields of machine learning and data analysis.

Profile

Google Scholar

Education

Vibhor completed his Bachelor of Technology in Computer Science Engineering from Jaypee Institute of Information Technology, where he developed a strong technical foundation. His academic journey was further enriched by studies at the Indian Institute of Information Technology, Madras, focusing on Programming and Data Science. Prior to this, he achieved top academic performance in high school and intermediate education at Dewan Public School. This educational background provided him with a comprehensive understanding of both theoretical and practical aspects of his field.

Experience

Vibhor’s professional experience includes a current position as a Senior Data Analyst at AXA XL in India, where he plays a crucial role in automating the end-to-end bookings process, enhancing data quality, and supporting critical financial analysis. His previous role as an Actuarial Analyst Trainee involved automating tasks and ensuring data integrity, further showcasing his analytical capabilities. His stint at Amazon ML Summer School provided him with advanced knowledge in machine learning, which he has applied effectively in his subsequent roles. These experiences reflect his ability to integrate technical skills with practical applications in various professional settings.

Research Interest

Vibhor’s research interests are centered around leveraging advanced computational techniques to address complex problems in data analysis and machine learning. His work focuses on enhancing automated systems for data processing, improving predictive models, and applying deep learning methods to real-world issues such as healthcare diagnostics. His research projects, including facial paralysis detection using image analysis, illustrate his commitment to using technology for impactful problem-solving. His interests also extend to the development of innovative frameworks for knowledge management and retrieval.

Award

While specific awards were not detailed in the provided information, Vibhor’s accomplishments in research, industry, and leadership roles reflect a high level of competence and recognition. His contributions to significant projects and his role in organizing major events demonstrate his impact and influence in his field.

Publications

Vibhor Garg has authored and contributed to numerous influential publications in the field of cardiology, including:

“A population-based cross-sectional study to determine the practices of breastfeeding among the lactating mothers of Patiala city” – Journal of Family Medicine and Primary Care (2019). Cited by 32.

“Epidemiologic and Clinical Characteristics of Marantic Endocarditis: A Systematic Review and Meta-Analysis of 416 Reports” – Current Problems in Cardiology (2024). Cited by 3.

“Atrial flutter in the elderly patient: the growing role of ablation in treatment” – Cureus (2023). Cited by 3.

“In-hospital outcomes in COVID-19 patients with non-alcoholic fatty liver disease by severity of obesity: Insights from national inpatient sample 2020” – World Journal of Hepatology (2024). Cited by 2.

“Postmortem Study of Histopathological Lesions of Heart in Cases of Sudden Death-Incidental Findings” – Journal of Cardiac Failure (2018). Cited by 2.

“MARANTIC ENDOCARDITIS AND CANCER: UNVEILING HIDDEN MALIGNANCIES AND THE ROLE OF ANTICOAGULANTS” – Journal of the American College of Cardiology (2024). Cited by 1.

“Navigating Diagnostic Challenges in Acute Coronary Syndrome: A Case of Bezold-Jarisch Reflex and Wellens Pattern” – Cureus (2024).

“Pulmonary Hypertension in HIV and Heart Failure: Clinical Insights and Survival Outcomes” – American Heart Journal (2024).

“INEQUALITIES IN ISCHEMIA EVALUATION AMONG HIV PATIENTS WITH HEART FAILURE: INSIGHTS FROM NYC HEALTH+ HOSPITAL’S RETROSPECTIVE COHORT STUDY” – Journal of the American College of Cardiology (2024).

“GENDER DIFFERENCES IN HIV PATIENTS WITH HEART FAILURE: A RETROSPECTIVE ANALYSIS FROM THE NATION’S LARGEST MUNICIPAL HOSPITAL SYSTEM” – Journal of the American College of Cardiology (2024).

“ASSOCIATION BETWEEN EPICARDIAL ADIPOSE TISSUE AND STROKE RISK: A META-ANALYSIS OF THE GENERAL AND ATRIAL FIBRILLATION POPULATION” – Journal of the American College of Cardiology (2024).

“DISPARITIES IN SOCIAL ADVERSITIES AMONG HIV-POSITIVE HEART FAILURE PATIENTS: A RACECENTRIC STUDY WITH MORTALITY IMPLICATIONS” – Journal of the American College of Cardiology (2024).

“Abstract MP03: Social Adversities and Mortality in HIV and Heart Failure Patients: A Multi-Center Retrospective Cohort Study From Public Hospitals in New York City” – Circulation (2024).

“Differences in the In-Patient Mortality in Marantic Endocarditis Per Etiology: Systematic Review of Case Reports” – Circulation (2023).

“Does Co-Morbid Depression Predict Worse In-Hospital Outcomes in Elderly Patients Primarily Hospitalized With Atrial Fibrillation?: A Nationwide Sex and Race Stratified Analysis” – Circulation (2023).

“GEOGRAPHIC DISPARITIES IN OUTCOMES OF OSA HOSPITALIZATIONS: A NATIONWIDE VIEWPOINT” – Chest (2022).

“Protective Role of Bariatric Surgery in Prevalence and Risk of Atrial Fibrillation in Obese Patients on Long-Term, with Gradually Waning Effect Over a Decade: A Meta-Analysis” – Circulation (2021).

“Cannabis Use Poses Alarming Risk of Atrial Tachyarrhythmia and Stroke in Young Patients with Obesity Associated Obstructive Sleep Apnea: A Propensity-Score Matched Analysis” – Circulation (2021).

“Rising Burden of Cardiovascular Disease Risk and Major Adverse Cardiac Events in Young African American Patients: A National Analysis of Two Cohorts 10-Years Apart (2017 vs. 2007)” – Circulation (2021).

Conclusion

Vibhor Garg exhibits a robust combination of technical skills, practical experience, and leadership abilities, making him a strong candidate for the Research for Best Researcher Award. His contributions to both research and industry highlight his potential and commitment. However, to further strengthen his application, he could focus on expanding his research portfolio, enhancing publication reach, and integrating his research with broader industry applications.

In summary, Vibhor Garg’s profile is impressive and aligns well with the criteria for the Research for Best Researcher Award. With continued development in the suggested areas, he has the potential to be a leading candidate in the future.

Abdullahi Umar Ibrahim | Artificial intelligence and IoT | Best Researcher Award

Posted on by Academic achievements

Dr Abdullahi Umar Ibrahim | Artificial intelligence and IoT | Best Researcher Award

Dr Abdullahi Umar Ibrahim , Near East University , Cyprus

Dr. Abdullahi Umar Ibrahim is an Assistant Professor in the Biomedical Engineering Department at Near East University, Nicosia, Cyprus. With a solid background in biomedical engineering, Dr. Ibrahim has made significant contributions in both academia and research. His expertise spans various aspects of bioengineering, including CRISPR technology, AI applications in medicine, and biomedical instrumentation. Known for his dynamic teaching approach and innovative research, he is actively involved in advancing the field of bioengineering through his work in laboratory technologies and interdisciplinary projects. Dr. Ibrahim is also committed to enhancing digital skills and interdisciplinary collaboration through EU-funded initiatives.

Publication Profile

Google Scholar

Strengths for the Award

  1. Innovative Research Focus: Dr. Abdullahi Umar Ibrahim’s research at the intersection of CRISPR technology, AI, and biomedical engineering demonstrates a pioneering approach to solving pressing medical challenges. His work on CRISPR-based biosensing and AI-driven tools for disease detection has made significant contributions to the field.
  2. Diverse Publications: Dr. Ibrahim has an extensive list of publications in high-impact journals and conferences, showcasing his expertise across various aspects of biomedical engineering and bioinformatics. His work on COVID-19 detection using deep learning and CRISPR technology highlights his commitment to advancing medical technology.
  3. Awards and Recognition: The Best Young Scientist Award from Near East University and the Best Researcher Award from the International Academic Awards validate his contributions and excellence in research.
  4. Interdisciplinary Collaboration: His role in collaborative projects, such as the digital skills program with the European Union, and his contributions to the International Research Center for AI and IoT reflect his ability to work across disciplines and integrate diverse technological advancements into biomedical applications.

Areas for Improvement

  1. Broader Impact and Outreach: While Dr. Ibrahim’s research is highly specialized, expanding outreach efforts to increase the impact of his work in clinical settings or among non-specialist audiences could further enhance the application and visibility of his research.
  2. Research Diversity: Although Dr. Ibrahim has made substantial contributions in specific areas, diversifying his research to include other emerging fields in bioengineering and biomedical sciences could broaden his impact.
  3. Collaboration and Networking: Increasing collaborative efforts with international research institutions and industry partners could provide additional resources and opportunities for groundbreaking research and innovation.

Education

Dr. Abdullahi Umar Ibrahim earned his PhD in Biomedical Engineering from Near East University in 2021, following his MSc in Bioengineering from Cyprus International University (2016). His educational journey began with an OND & HND in Science Laboratory Technology from the Nigerian Institute of Leather & Science Technology, Zaria. His academic pursuits have been marked by a commitment to integrating cutting-edge technologies into bioengineering and biomedical research, establishing a strong foundation for his contributions to the field.

Experience

Dr. Ibrahim currently serves as the Assistant Head of the Biomedical Engineering Department and Internship Coordinator at Near East University. His previous roles include Research Assistant at the International Research Center for AI and IoT, and a Lecturer at Kaduna State University, where he taught various subjects related to biomedical and laboratory sciences. His extensive teaching experience covers a broad range of biomedical engineering topics, from biochemistry and molecular biology to biomedical signal processing and clinical engineering.

Awards and Honors

Dr. Ibrahim has received notable accolades for his contributions to the field. In 2022, he was honored with the Best Young Scientist Award at Near East University and the Best Researcher Award from the International Academic Awards. These awards recognize his outstanding research achievements and innovative work in biomedical engineering, particularly his advancements in CRISPR technology and AI-driven diagnostics.

Research Focus

Dr. Ibrahim’s research focuses on the integration of CRISPR technology and AI in biomedical applications. His work includes developing biosensors for disease detection, improving diagnostic tools using deep learning, and exploring the potential of AI and IoT in medicine. His research aims to advance the precision and efficiency of biomedical diagnostics and treatment, contributing to the broader field of bioengineering and medical technology.

Publications top notes

  1. CRISPR Biosensing and AI Driven Tools for Detection and Prediction of COVID-19 📘
  2. Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19 🩺
  3. Automated Detection of Mycobacterium Tuberculosis Using Transfer Learning 🦠
  4. Futuristic CRISPR-Based Biosensing in the Cloud and IoT Era: An Overview ☁️
  5. Convolutional Neural Network for Diagnosis of Viral Pneumonia and COVID-19 Alike Diseases 🤖
  6. CRISPR/Cas9 Gene Editing in Mammalian Cells Using LentiCRISPRv2/LentiGuide-Puro Vectors 🔬
  7. Detection of Tropical Diseases Caused by Mosquitoes Using CRISPR-Based Biosensors 🦟
  8. Computer Aided Detection of Tuberculosis Using Two Classifiers 🧬
  9. Current Technologies for Detection of COVID-19: Biosensors, AI and IoMT 🦠
  10. Large-Scaled Detection of COVID-19 from X-ray Using Transfer Learning 💻
  11. Computer-Aided Detection of Tuberculosis from Microbiological and Radiographic Images 🏥
  12. Deep Learning and Transfer Learning Models for Detection of COVID-19 🌐
  13. Recent Development of Electrochemical and Optical Aptasensors for Detection of Antibiotics in Food Monitoring Applications 📊
  14. Application of Crispr Technology for the Generation of Biofuels: A Review 🔋
  15. Comparative Study of Crispr-Cas9 and CRISPR Interference (CRISPRi) 🔍
  16. Analysis of Tocopherol Using Chromatographic and Electrochemical Techniques 🧪
  17. CRISPR Technology: Advantages, Limitations and Future Direction 📈

Conclusion

Dr. Abdullahi Umar Ibrahim is a strong candidate for the Best Researcher Award. His groundbreaking research in CRISPR technology and AI applications in medicine, combined with his significant publications and accolades, demonstrates his excellence and impact in the field. Addressing the areas for improvement, such as increasing the broader impact of his research and expanding collaborative networks, could further elevate his contributions. Overall, Dr. Ibrahim’s achievements and innovative approach make him a deserving candidate for this prestigious award.