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.

Subhrangshu Adhikary | Machine Learning | Young Scientist Award

Posted on by Academic achievements

Mr Subhrangshu Adhikary | Machine Learning | Young Scientist Award

Mr Subhrangshu Adhikary, Spiraldevs Automation Industries Pvt. Ltd. India

Subhrangshu Adhikary is the Director of Spiraldevs Automation Industries Pvt. Ltd. and a PhD scholar at the National Institute of Technology, Durgapur. With a passion for leveraging scientific advancements to solve real-world problems, he aims to make a positive impact on society and the environment. Adhikary has a diverse skill set encompassing big data, AI, and IoT, and he is recognized for his leadership in both academia and industry. His work spans across research, innovation, and technology development, reflecting his commitment to advancing knowledge and practical solutions in computer science and engineering.

Publication Profile

Scopus

Strengths for the Award

  1. Significant Contributions to Research:
    • Subhrangshu Adhikary has made notable contributions in various fields including machine learning, big data, and biomedical signal processing. His research work covers a range of topics such as secure classification frameworks, document classification with vision transformers, and advanced cryptographic algorithms.
    • His papers, such as those published in Biomedical Signal Processing and Control and Machine Learning and Knowledge Extraction, demonstrate his expertise and innovative approach to complex problems.
  2. Innovative Intellectual Properties:
    • Adhikary holds multiple patents and copyrights, which showcase his ability to develop practical and innovative solutions. For instance, his patents related to fault-tolerant storage systems and decentralized sensor networks are indicative of his technical prowess and creativity.
  3. Awards and Recognition:
    • His achievements, including the Best Research Award at SMTST-2020 and several accolades from NPTEL, highlight his recognition within the scientific community. These awards underline his commitment to excellence and his impact on the field of computer science and engineering.
  4. Diverse Skill Set:
    • His broad technical skill set in areas such as big data, AI/ML, and IoT, combined with his experience in full-stack development and various programming languages, reflects a well-rounded expertise essential for cutting-edge research.
  5. Leadership and Experience:
    • As the Director of Spiraldevs Automation Industries Pvt. Ltd. and IT Head of Drevas Vision Pvt. Ltd., Adhikary has demonstrated strong leadership skills and practical experience in managing and executing technology projects. His roles in these positions complement his research activities, providing a solid foundation for innovative and impactful work.

Areas for Improvement

  1. Publication Impact:
    • While Adhikary has numerous publications, increasing the citation impact and visibility of his work in high-impact journals could further enhance his reputation in the research community. Expanding his research into more widely recognized venues could contribute to a greater influence in his field.
  2. Interdisciplinary Collaboration:
    • Further collaboration with researchers from different disciplines could broaden the scope and application of his work. Engaging in interdisciplinary projects may lead to more diverse and impactful research outcomes.
  3. Research Visibility:
    • Increasing engagement with broader research communities through conferences and workshops could raise awareness of his contributions. Presenting at international forums and participating in collaborative research initiatives may help elevate his profile.

Education

Subhrangshu Adhikary is pursuing a Doctorate in Computer Science and Engineering at the National Institute of Technology, Durgapur, since August 2022. He earned his Bachelor of Technology in Computer Science and Engineering from Dr. B.C. Roy Engineering College, achieving a CGPA of 9.20. His academic journey began at Bethany Mission School, where he completed his Class XII with an aggregate of 74% and Class X with a perfect CGPA of 10.0. His educational background underscores his strong foundation and continued pursuit of excellence in technology and research.

Experience

Subhrangshu Adhikary has been the Director of Spiraldevs Automation Industries Pvt. Ltd. since July 2020, driving innovation and technology solutions in West Bengal. He also serves as the IT Head of Drevas Vision Pvt. Ltd., a software outsourcing company, since September 2020. His roles involve overseeing technology development and management, showcasing his leadership and expertise in the tech industry. His experience encompasses both strategic direction and technical execution, highlighting his multifaceted capabilities in technology and business management.

Awards and Honors

Subhrangshu Adhikary has been honored with the Best Research Award at the SMTST-2020 Conference, recognizing his outstanding research contributions. He has also received multiple accolades from NPTEL, including NPTEL Star, NPTEL Believer, and NPTEL Enthusiast. These awards reflect his excellence in the field of computer science and engineering. Additionally, Adhikary has achieved significant recognition through various local, school, and college-level competition wins, and ranked AIR 108 in the PNTSE Olympiad in 2015.

Research Focus

Subhrangshu Adhikary’s research focuses on integrating big data, AI, and IoT to address complex problems. His work includes developing distributed fault-tolerant storage systems, decentralized sensor networks, and advanced cryptographic algorithms. He explores machine learning applications for environmental monitoring and biomedical diagnostics. His research aims to create sustainable and impactful solutions, enhancing both theoretical knowledge and practical applications in technology and data science.

Publication Top Notes

  • “DitDViiPt PrivLet: A differential privacy and inverse wavelet decomposition framework for secure and optimized hemiplegic gait classification” 📝
  • “VisFormers—Combining Vision and Transformers for Enhanced Complex Document Classification” 📄
  • “Global marine phytoplankton dynamics analysis with machine learning and reanalyzed remote sensing” 🌊
  • “Secret learning for lung cancer diagnosis—a study with homomorphic encryption, texture analysis and deep learning” 🩺
  • “Optimized EEG based mood detection with signal processing and deep neural networks for brain-computer interface” 🧠
  • “DeCrypt: a 3DES inspired optimised cryptographic algorithm” 🔐
  • “Improved Large-Scale Ocean Wave Dynamics Remote Monitoring Based on Big Data Analytics and Reanalyzed Remote Sensing” 🌍
  • “If Human Can Learn from Few Samples, Why Can’t AI? An Attempt On Similar Object Recognition With Few Training Data Using Meta-Learning” 🤖
  • “Evolutionary Swarming Particles To Speedup Neural Network Parametric Weights Updates” ⚙️
  • “Price Prediction of Digital Currencies using Machine Learning” 💹

Conclusion

Subhrangshu Adhikary is a highly deserving candidate for the Best Researcher Award due to his significant contributions to research, innovative intellectual properties, and demonstrated leadership in the technology sector. His impressive track record of awards, patents, and publications underscores his expertise and dedication to advancing knowledge in his field. Addressing areas for improvement, such as increasing the impact of his publications and enhancing interdisciplinary collaborations, could further solidify his standing as a leading researcher. Overall, Adhikary’s achievements and potential make him a strong contender for this prestigious award.

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.