Swathi Priyadarshini Tigulla | Computer Science | Best Researcher Award

Dr. Swathi Priyadarshini Tigulla | Computer Science | Best Researcher Award

Osmania University | India

Author Profile

Scopus

Early Academic Pursuits

Dr. Swathi Priyadarshini Tigulla laid the foundation of her academic journey with a degree in Information Technology, followed by a master’s program in Information Technology with a specialization in network security. Her pursuit of advanced knowledge culminated in a doctoral degree in Computer Science and Engineering from Osmania University. From the beginning, she demonstrated a strong inclination toward solving computational problems and a keen interest in the emerging domains of artificial intelligence, machine learning, and network security.

Professional Endeavors

Her professional career reflects an extensive teaching and mentoring journey across reputed institutions. She began her career as an Assistant Professor in engineering colleges where she taught computer science, network security, and software engineering, and guided student projects. Over the years, she progressed to significant academic roles, including serving as Head of the Department, coordinating extracurricular activities, and contributing to student training and placement. Presently, she continues her academic engagement as an Assistant Professor specializing in artificial intelligence and machine learning, while also actively mentoring projects and participating in innovative academic initiatives such as GEN-AI teams and project schools.

Contributions and Research Focus

Dr. Tigulla’s research is strongly anchored in artificial intelligence, machine learning, and soft computing, with a particular focus on healthcare applications such as heart stroke prediction models. Her publications have proposed innovative approaches that integrate clustering, classification, and deep learning techniques to enhance medical predictions, combining accuracy with practical applicability. Beyond healthcare, her work also explores security strategies in cloud computing and data-driven approaches to protect systems from vulnerabilities. This blend of healthcare informatics and cyber security positions her research at the intersection of technology and community impact.

Accolades and Recognition

Her expertise has been recognized through publications in reputed international journals such as Measurement: Sensors and Journal of Positive School Psychology, along with contributions to international conferences under IEEE. She has served as a reviewer for scholarly journals and academic book chapters, demonstrating her standing as a trusted evaluator in her field. Her involvement as an organizer of technical workshops, hackathons, and project expos reflects her commitment to academic innovation and student skill development, further reinforcing her recognition as a versatile academic leader.

Impact and Influence

The impact of Dr. Tigulla’s work is evident in both her research outcomes and her teaching contributions. Her models for heart stroke prediction contribute significantly to community health by combining artificial intelligence with real-world medical applications. As an educator, she has influenced generations of students by equipping them with knowledge in machine learning, artificial intelligence, and advanced computational concepts. Her leadership in academic events has fostered a culture of innovation, creativity, and hands-on learning among students, thereby extending her influence beyond traditional teaching.

Legacy and Future Contributions

Dr. Tigulla’s legacy is one of blending research excellence with community benefit. By focusing on both healthcare prediction models and system security, she has addressed two domains of immense social importance—public health and digital trust. Looking forward, her future contributions are expected to further deepen the integration of artificial intelligence into real-world applications, enhance her role as a reviewer and academic guide, and continue her efforts to shape students into innovative researchers and industry-ready professionals.

Publications


Article: Developing Heart Stroke Prediction Model using Deep Learning with Combination of Fixed Row Initial Centroid Method with Naïve Bayes, Decision Tree, and Artificial Neural Network
Authors: T. Swathi Priyadarshini, Vuppala Sukanya, Mohd Abdul Hameed
Journal: Measurement: Sensors
Year: 2024


Article: Collaboration of Clustering and Classification Techniques for Better Prediction of Severity of Heart Stroke using Deep Learning
Authors: T. Swathi Priyadarshini, Vuppala Sukanya, Mohd Abdul Hameed
Journal: Measurement: Sensors
Year: 2025


Article: Deep Learning Prediction Model for Predicting Heart Stroke using the Combination Sequential Row Method Integrated with Artificial Neural Network
Authors: T. Swathi Priyadarshini, Mohd Abdul Hameed, Balagadde Ssali Robert
Journal: Journal of Positive School Psychology
Year: 2022


Article: Methods of Hidden Pattern Usage in Cloud Computing Security Strategies with K-means Clustering
Authors: T. Swathi Priyadarshini, Dr. S. Ramachandram
Journal: AIJREAS
Year: 2021


Article: A Review on Security Issue Solving Methods in Public and Private Cloud Computing
Authors: T. Swathi Priyadarshini, S. Ramachandram
Journal: IJMTST
Year: 2020


Conclusion

Dr. Swathi Priyadarshini Tigulla embodies the qualities of an academician and researcher who successfully bridges the gap between theoretical advancements and community impact. Her journey, marked by academic rigor, extensive teaching experience, and impactful research, showcases her dedication to advancing artificial intelligence and machine learning for practical applications. Recognized as both a researcher and a mentor, she continues to inspire through her contributions in education, healthcare, and cyber security. In conclusion, her career highlights a sustained commitment to knowledge, innovation, and community-oriented research, establishing her as a distinguished academic voice in the field of computer science and engineering.

 

Kalei Hering | Medicine and Dentistry | Best Researcher Award

Dr. Kalei Hering | Medicine and Dentistry | Best Researcher Award

Harvard Medical School | United States

Author Profile

Scopus

Orcid

🎓 Early Academic Pursuits

Dr. Kalei Hering’s academic journey began at the United States Military Academy at West Point, where she majored in Life Sciences with honors, following a pre-medical and nuclear engineering track. As a Barry Goldwater Scholar and Rhodes Scholar Finalist, her undergraduate years were marked by distinction and ambition. She then advanced to Harvard Medical School, where she pursued her M.D. with exceptional performance, scoring a 265 on the USMLE Step 2 CK and actively engaging in research and leadership.

🩺 Professional Endeavors

Currently a Resident Physician in Diagnostic Radiology at Walter Reed National Military Medical Center (expected 2030), Dr. Hering is integrating rigorous clinical training with a robust military medical background. She has held numerous leadership positions—from Platoon Leader to President of Harvard’s Interventional Radiology Interest Group—reflecting a rare blend of military discipline and medical acumen. Her clinical and surgical experiences at institutions like Walter Reed, MGH, and BIDMC have laid a strong foundation for a future in academic and interventional radiology.

🔬 Contributions and Research Focus

Dr. Hering’s research spans vascular and interventional radiology, pulmonary arteriovenous malformations, trauma imaging, and military health, with over 20 peer-reviewed publications. She has contributed to top-tier journals including CHEST, Spine Journal, Journal of Vascular and Interventional Radiology, and Military Medicine. As an editor for the MGH “White Book”, she has also shaped essential medical manuals for house staff. Her passion for research was recognized early through internships and fellowships, including work on Lyme disease and steroid hormone physiology.

🏅 Accolades and Recognition

A decorated scholar and athlete, Dr. Hering has earned numerous honors including:
🏆 1897 Fellowship Awardee (Top national Phi Kappa Phi applicant)
🥇 Trainee Case Competition Winner, New England Society of Interventional Radiology
🏃‍♀️ Champion in multiple marathons and ultramarathons including the Candlelight 12-Hour and Spartan Race
🎖️ Excellence in Life Science Award, Brigadier General Ramsden Award, and LTC Boyd Harris Leadership Award at West Point
📚 Recognized by the West Point Superintendent for academic, military, and physical excellence

🌍 Impact and Influence

Dr. Hering is a changemaker in both academic medicine and military health systems. Her efforts to increase access and mentorship—such as developing shadowing programs, founding wellness initiatives, and mentoring underrepresented pre-med students—demonstrate her commitment to building inclusive, high-impact medical communities. Her involvement in the Society of Interventional Radiology, Excelsior Surgical Society, and Empower Conference reflects a strategic vision for the future of healthcare delivery, particularly in military and interventional contexts.

🔮 Legacy and Future Contributions

With a rare combination of military leadership, scientific rigor, and clinical excellence, Dr. Kalei Hering is poised to leave a lasting mark on the fields of interventional radiology, medical education, and military medicine. Her pursuit of innovative techniques, policy development, and mentorship ensures that her influence will be deeply felt across clinical, academic, and operational environments for years to come. As she advances through her residency and beyond, Dr. Hering stands as a beacon of resilience, intellect, and service in modern medicine.

Publications


📄 Post-Treatment Monitoring of Pulmonary Arteriovenous Malformations: Challenges and Approaches

  • Authors: Kalei Hering, Patrick Sutphin, Sanjeeva Kalva

  • Journal: CHEST

  • Year: 2025


📄 Embolization of a Bleeding Duodenal Arteriovenous Malformation with a Conformable Embolic Material (Obsidio): Case Report

  • Authors: Kalei Hering, Patrick Sutphin, Sanjeeva Kalva

  • Journal: Journal of Clinical Interventional Radiology ISVIR

  • Year: 2025


📄 Long-Term Quality of Life and Functional Outcomes After Management of Spinal Epidural Abscess

  • Authors:  Kalei Hering, Grace X. Xiong, Andrew Nguyen, Andrew J. Schoenfeld

  • Journal:  The Spine Journal

  • Year: 2024


📄 Health-Care Utilization and Expenditures Associated with Long-Term Treatment After Combat and Non-Combat-Related Orthopaedic Trauma

  • Authors: Kalei Hering, Miles W.A. Fisher, Michael K. Dalton, Andrew K. Simpson, Jamie Ye, Nishant Suneja, Zara Cooper, Tracey P. Koehlmoos, Andrew J. Schoenfeld

  • Journal: Journal of Bone and Joint Surgery

  • Year: 2022


 

Nancy Weaver | Health Professions | Best Researcher Award

Dr. Nancy Weaver | Health Professions | Best Researcher Award

Saint Louis University | United States

Author Profile

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🎓 Early Academic Pursuits

Dr. Nancy Weaver's academic journey is a testament to her commitment to public health and data-driven decision-making. She earned her Ph.D. in Health Behavior and Health Education from the University of North Carolina at Chapel Hill in 2004, solidifying her expertise in behavioral sciences. Prior to this, she completed her Master of Public Health (MPH) in Biostatistics in 1995 at the same institution, honing her skills in data analysis and health research. Her foundation in quantitative sciences began with a Bachelor of Science in Mathematics, complemented by a minor in Statistics, from James Madison University in 1990. These academic achievements laid a strong groundwork for her future contributions to public health research and policy.

🌟 Professional Endeavors

Dr. Weaver has built an illustrious career as a leader in health behavior research and community engagement. She currently serves as a tenured Professor at the College for Public Health and Social Justice, Department of Behavioral Science and Health Education at Saint Louis University. Additionally, she co-directs the Community Engagement Core at the Center for Innovation in Child Maltreatment at Washington University in St. Louis, showcasing her dedication to interdisciplinary collaboration. Beyond academia, she is the Founder and CEO of Support Over Silence, LLC, an initiative focused on empowering individuals to respond to distress in public settings. She also operates Weaverly Consulting, LLC, where she provides strategic guidance in public health programs. Throughout her career, she has held numerous leadership positions, including Associate Dean for Academic and Faculty Affairs and Founding Operations Director of the Research and Equity in Action for Child Health (REACH) Center. Her career trajectory underscores her unwavering dedication to improving health education and policy.

📈 Contributions and Research Focus

Dr. Weaver’s research is centered on child maltreatment prevention, health literacy, and behavioral interventions. She has secured substantial research funding, including her role as a subcontract principal investigator for the Center for Innovation in Child Maltreatment Policy, Research, and Training, a multi-million-dollar initiative backed by the National Institute of Child Health and Human Development. Her work has also extended to projects funded by the Centers for Disease Control and Prevention (CDC), where she has led efforts to tailor injury prevention communications for parents and healthcare providers. Her research contributions have significantly influenced pediatric injury prevention, as evidenced by her involvement in projects aimed at integrating injury prevention into home visitation programs and developing communication strategies for public health initiatives. She has also played a key role in addressing child maltreatment through social marketing and bystander intervention models, ensuring that her research translates into actionable public health solutions.

🏆 Accolades and Recognition

Dr. Weaver’s contributions to public health have been widely recognized through various grants and prestigious appointments. Her work in injury prevention and health communication has been published in top-tier journals such as the American Journal of Sports Medicine, Pediatrics, and Health Promotion Practice. Her research has also garnered attention for its practical applications, with her tailored communication strategies being implemented in pediatric primary care settings. As a mentor and educator, she has played a crucial role in training the next generation of public health professionals, further amplifying her impact on the field.

🌍 Impact and Influence

Dr. Weaver’s influence extends beyond academia into policy-making and community advocacy. Through her research, she has shaped national discussions on child safety and health literacy. Her work in developing evidence-based interventions has informed policy decisions at both state and national levels, demonstrating the real-world impact of her academic endeavors. She has also been instrumental in bridging the gap between social sciences and medical research, ensuring a holistic approach to health behavior interventions. Her collaborations with organizations like the Missouri Foundation for Health and the National Cancer Institute highlight her commitment to multidisciplinary problem-solving.

🌟 Legacy and Future Contributions

As a leader in public health education and research, Dr. Nancy Weaver’s legacy is built on her dedication to improving child and community health outcomes. Her work continues to inspire new approaches to health behavior interventions, with a strong emphasis on data-driven strategies and community engagement. Through her roles in academia, consultancy, and nonprofit initiatives, she is paving the way for innovative solutions to pressing public health challenges. Her ongoing research in child maltreatment prevention, injury risk reduction, and health communication will undoubtedly leave a lasting imprint on the field, shaping future policies and practices for years to come. Dr. Weaver’s unwavering commitment to public health, research excellence, and community advocacy ensures that her influence will continue to grow, inspiring generations of scholars and practitioners to follow in her footsteps.

 

Publications


  • 📄 Emerging Virtual Reality Technologies and Opportunities for Public Health Programming
    Authors: Nancy Weaver, Kimberly Pryor
    Journal: Evaluation and Program Planning
    Year: 2025


  • 📄 Evaluation of Support Over Silence for KIDS: A Bystander Training Program to Address Public Child Maltreatment
    Authors: Meghan E. Taylor, Nancy L. Weaver, Terri L. Weaver, Travis M. Loux, Timothy J. Kutz
    Journal: Journal of Family Violence
    Year: 2023


  • 📄 Addressing caregiver-child conflict in public: Barriers and facilitators to bystander engagement
    Authors: Vithya Murugan, Terri L. Weaver, Meghan E. Taylor, Nancy L. Weaver, Allie D. Conlon
    Journal: Journal of Family Trauma, Child Custody and Child Development
    Year: 2021


  • 📄 Support Over Silence for KIDS: A bystander training program to address public child maltreatment
    Authors: Nancy L. Weaver, Meghan E. Taylor, Terri L. Weaver, Timothy J. Kutz
    Journal: Children and Youth Services Review
    Year: 2020


  • 📄 Unintentional child injury in child welfare placements
    Authors: Jesse J. Helton, Nancy L. Weaver
    Journal: Child Abuse and Neglect
    Year: 2020


 

Prudence Munyaradzi Mavhemwa | Computer Science | Best Researcher Award

Mr. Prudence Munyaradzi Mavhemwa | Computer Science | Best Researcher Award

University of Rwanda |Rwanda

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Early Academic Pursuits 🎓

Prudence Munyaradzi Mavhemwa embarked on his academic journey with an unwavering passion for computer science and technology. He earned a Bachelor of Science (Hons) in Computer Science from Bindura University of Science Education in 2008, laying a solid foundation in programming, system analysis, and database management.
Later, he pursued a Master of Science in Computer Science at the University of Zimbabwe (2010–2012), where he delved deeper into advanced computational methods and application development. Recognizing the need to foster education, he added a Postgraduate Diploma in Tertiary Education (2015–2016) from Bindura University, enhancing his pedagogical expertise.
Currently, he is completing a PhD in Embedded Computing Systems (2020–2024) at the University of Rwanda, focusing on improving user authentication in the Internet of Medical Things (IoMT) in Rwanda under the mentorship of distinguished supervisors from the University of Rwanda and the University of Pretoria.

Professional Endeavors 💻

Mr. Mavhemwa's professional journey spans over a decade of academic and technical contributions. He began his career as a Software Developer Intern at Provenance Support Company in Harare, developing payroll and MIS systems.
At Bindura University of Science Education, he ascended to the role of Chairman of the Computer Science Department (2019–2022) and served as a full-time lecturer (2010–2024), imparting knowledge in programming languages, artificial intelligence, and computer security.
In addition to his full-time commitments, he contributed to Zimbabwe Ezekiel Guti University as a part-time lecturer, showcasing his dedication to advancing computer science education across institutions.

Contributions and Research Focus 🔬

Mr. Mavhemwa’s research focuses on cutting-edge topics, including:

  • Usable security and IoT for development (IoT4D).
  • Health informatics, particularly adaptive authentication models for medical applications.
    He has contributed significantly through innovative projects such as an IoMT adaptive authentication system for the elderly and user-centered designs leveraging machine learning and wearable technology.
    His expertise has guided several undergraduate research projects, influencing the next generation of computing professionals.

Accolades and Recognition 🏆

Mr. Mavhemwa’s academic rigor and professional excellence have earned him recognition in multiple domains. As a peer reviewer for prestigious journals like Heliyon and the Journal of Cybersecurity and Privacy, he has demonstrated his commitment to advancing scientific discourse.
His published works span innovative topics such as mobile-based learning, adaptive authentication systems, and health informatics, with notable articles in Springer and IOP Publishing.

Impact and Influence 🌟

Through his teaching and leadership roles, Mr. Mavhemwa has significantly impacted the academic community. His tenure at Bindura University was marked by efforts to modernize computer science curricula and foster a culture of innovation. His research has implications for both academia and practical applications, particularly in enhancing security protocols in healthcare and improving educational accessibility through technology.

Legacy and Future Contributions 🔮

As Mr. Mavhemwa continues to refine his PhD research and publish groundbreaking studies, his work is set to influence the fields of IoT, health informatics, and user-centered design. His dedication to academic mentorship and innovative problem-solving ensures a lasting legacy in computer science education and research.

 

Publications


📖 An Android-Based Internet of Medical Things Adaptive User Authentication and Authorization Model for the Elderly
Journal of Cybersecurity and Privacy
Year: 2024
Authors: Prudence M. Mavhemwa, Marco Zennaro, Philibert Nsengiyumva, Frederic Nzanywayingoma


📖 Weighted Naïve Bayes Multi-User Classification for Adaptive Authentication
Journal: Journal of Physics Communications
Year: 2024
Authors: Prudence M. Mavhemwa, Marco Zennaro, Philibert Nsengiyumva, Frederic Nzanywayingoma


📖 An Android-Based Internet of Medical Things Adaptive User Authentication and Authorization Model for the Elderly
Journal: Preprint
Year: 2024
Authors: Prudence M. Mavhemwa, Marco Zennaro, Philibert Nsengiyumva, Frederic Nzanywayingoma


📖 User-Centred Design of Machine Learning-Based Internet of Medical Things (IoMT) Adaptive User Authentication Using Wearables and Smartphones
Journal: Book Chapter in Lecture Notes in Networks and Systems
Year: 2023
Authors: Prudence M. Mavhemwa, Marco Zennaro, Philibert Nsengiyumva, Frederic Nzanywayingoma


📖 Uniform Spatial Subdivision to Improve Boids Algorithm in a Gaming Environment
Journal: International Journal of Advance Research and Development
Year: 2018
Author: Prudence Munyaradzi Mavhemwa


 

Ali Saad | Health Professions | Best Researcher Award

Prof. Ali Saad | Health Professions | Best Researcher Award

King Saud University | Saudi Arabia

Author Profile

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🎓 Early Academic Pursuits

Prof. Ali Saad embarked on a stellar academic journey with a Bachelor’s degree in Electrical Engineering from the University of Saint-Etienne, specializing in electronic and computer systems. He pursued advanced studies in Digital Image Processing, earning a Master’s and Ph.D. from prestigious French universities. His doctoral research on "Filtering and Unsupervised Segmentation of Polarimetric Radar Image" at the University of Nantes set the foundation for his expertise in image processing and electronics.

🧑‍🏫 Professional Endeavors

Prof. Saad has been an integral part of King Saud University since 2000, rising from Assistant Professor to Full Professor. Over two decades, he has enriched the academic fabric with courses in image processing, biomedical instrumentation, signal processing, and microcontroller programming. His teaching portfolio reflects his diverse knowledge and commitment to mentoring students across undergraduate and postgraduate levels.

📚 Contributions and Research Focus

Prof. Saad’s research spans innovative areas such as artificial intelligence in medical imaging, drug delivery models, and numerical analysis of two-phase flows. His recent work leverages AI for early brain tumor detection and nanoparticle visualization for nanomedicine. His contributions to computational methods, diagnostic tools, and medical systems underscore his role as a thought leader in applied sciences.

🏆 Accolades and Recognition

Prof. Saad’s achievements include international grants from NIH and ASTF, recognition by the Cambridge Blue Book, and awards for strategic planning at King Saud University. Notably, he played a pivotal role in KSU’s ABET accreditation and received certificates of appreciation from global organizations. His honorary memberships and accolades highlight his influence in academic and research circles.

🌍 Impact and Influence

Beyond academics, Prof. Saad has contributed to institutional excellence through leadership roles in quality assurance, accreditation, and strategic planning. His consultancy with the NCAAA and participation in academic advisory boards reflect his impact on higher education standards and policy formulation.

🌟 Legacy and Future Contributions

Prof. Ali Saad’s legacy lies in his interdisciplinary expertise, innovative teaching methodologies, and groundbreaking research. As a pioneer in merging AI and biomedical imaging, he continues to inspire the scientific community and shape the future of technology-driven solutions in healthcare. His dedication to advancing knowledge ensures his contributions will resonate for years to come.

 

Publications


📄 Optimal Air Flow Modeling in Real Healthcare Facilities for Quick Removal of Contaminated Air

  • Journal: Processes
  • Year: 2024
  • Authors: Omar Altwijri, Ravish Javed, Yousif A. Algabri, Fakhouri Abdulaziz Saud, Khaled Alqarni, Reema Altamimi, Sarah Alqahtani, Mohammed Almijalli, Ali Saad

📄 Novel Deep-Learning Approach for Automatic Diagnosis of Alzheimer’s Disease from MRI

  • Journal: Applied Sciences
  • Year: 2023
  • Authors: Omar Altwijri, Reem Alanazi, Adham Aleid, Khalid Alhussaini, Ziyad Aloqalaa, Mohammed Almijalli, Ali Saad

📄 Artificial Intelligence Approach for Early Detection of Brain Tumors Using MRI Images

  • Journal: Applied Sciences
  • Year: 2023
  • Authors: Adham Aleid, Khalid Alhussaini, Reem Alanazi, Meaad Altwaimi, Omar Altwijri, Ali Saad

📄 Estimation of SPIO Nanoparticles Uptakes by Macrophages Using Transmission Electron Microscopy

  • Journal: International Journal of Molecular Sciences
  • Year: 2022
  • Authors: Adham Aleid, Khalid Alhussaini, Mohammed Almijalli, Ali Saad

📄 Numerical Analysis for Two-Phase Flow with Non-Equilibrium Capillary Pressure in Anisotropic Porous Media

  • Journal: Advances in Computational Mathematics
  • Year: 2022
  • Authors: Ali Saad, Khaled Bouadjila, Ali Samir Saad, Mazen Saad, Wissal Mesfar

 

Doohyun Park | Computer Science | Best Researcher Award

Dr. Doohyun Park | Computer Science | Best Researcher Award

VUNO Inc. | South Korea

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Early Academic Pursuits 🎓

Dr. Doohyun Park embarked on his academic journey at Yonsei University, where he earned his Bachelor's degree in Electrical and Electronic Engineering (2012-2016). His deep interest in medical applications of technology led him to pursue a Ph.D. at the same institution. His doctoral thesis focused on artificial intelligence-based preoperative prediction of axillary lymph node metastasis in breast cancer using whole slide images, which showcases his commitment to integrating AI in healthcare. His academic path laid the foundation for his future contributions to biomedical research and medical image analysis.

Professional Endeavors 💼

Dr. Park’s professional career is marked by his significant role at VUNO Inc., where he is part of the Lung Vision AI team. His work involves the development of computer-aided detection and diagnosis (CADe/CADx) on lung CT, focusing on innovative solutions for lung health. He has also worked on projects assessing the severity of COVID-19 and anomaly detection in spine CT. His expertise in the intersection of AI and healthcare has positioned him as a key contributor to advanced diagnostic technologies, reflecting his ability to bridge academia and industry.

Contributions and Research Focus 🔬

Dr. Park's research interests are centered around biomedical and clinical research, with a particular emphasis on computer-aided detection, diagnosis, and medical image analysis. He has published numerous papers on topics ranging from deep learning-based joint effusion classification to the development of AI models for lung cancer screening. His research has garnered recognition in top-tier journals, reinforcing his role in advancing AI applications in healthcare. He also holds multiple international and domestic patents related to prognosis prediction using image features, underscoring his contributions to the global research community.

Accolades and Recognition 🏆

Dr. Park’s outstanding contributions to medical image analysis have earned him several prestigious awards. Notably, he won the Best Paper Award at the 2023 MICCAI Grand Challenge for Aorta Segmentation and secured third place in the competition. His academic excellence has also been recognized through scholarships, including the Brain Korea 21 Scholarship and various research and teaching assistant scholarships during his time at Yonsei University. His consistent track record of achievements highlights his dedication to both research and education.

Impact and Influence 🌍

Dr. Park's work has had a profound impact on the field of medical AI, particularly in improving diagnostic tools for lung and breast cancer. His development of cutting-edge algorithms for image analysis has the potential to revolutionize early detection and prognosis in clinical settings. His invited talks at high-profile forums like the Global Engagement & Empowerment Forum on Sustainable Development (GEEF) further showcase his influence on global health initiatives, particularly in the context of the United Nations' Sustainable Development Goals.

Legacy and Future Contributions ✨

As Dr. Park continues his career, his legacy is being built on the foundations of innovation, interdisciplinary collaboration, and a commitment to improving healthcare outcomes. His ongoing projects, including AI-based lung cancer screening and prognosis prediction for adenocarcinoma, promise to shape the future of diagnostic medicine. With a robust portfolio of patents, publications, and collaborative research, Dr. Park is poised to make lasting contributions to both academic and clinical communities, further solidifying his role as a pioneer in medical AI.

 

Publications


📝 Deep Learning-Based Joint Effusion Classification in Adult Knee Radiographs: A Multi-Center Prospective Study
Authors: Hyeyeon Won, Hye Sang Lee, Daemyung Youn, Doohyun Park, Taejoon Eo, Wooju Kim, Dosik Hwang
Journal: Diagnostics
Year: 2024


📝 M3F: Multi-Field-of-View Feature Fusion Network for Aortic Vessel Tree Segmentation in CT Angiography
Authors: Yunsu Byeon, Hyeseong Kim, Kyungwon Kim, Doohyun Park, Euijoon Choi, Dosik Hwang
Journal: Book Chapter
Year: 2024


📝 Weakly Supervised Deep Learning for Diagnosis of Multiple Vertebral Compression Fractures in CT
Authors: Euijoon Choi, Doohyun Park, Geonhui Son, Seongwon Bak, Taejoon Eo, Daemyung Youn, Dosik Hwang
Journal: European Radiology
Year: 2023


📝 Development and Validation of a Hybrid Deep Learning–Machine Learning Approach for Severity Assessment of COVID-19 and Other Pneumonias
Authors: Doohyun Park, Ryoungwoo Jang, Myung Jin Chung, Hyun Joon An, Seongwon Bak, Euijoon Choi, Dosik Hwang
Journal: Scientific Reports
Year: 2023


📝 Importance of CT Image Normalization in Radiomics Analysis: Prediction of 3-Year Recurrence-Free Survival in Non-Small Cell Lung Cancer
Authors: Doohyun Park, Daejoong Oh, MyungHoon Lee, Shin Yup Lee, Kyung Min Shin, Johnson SG Jun, Dosik Hwang
Journal: European Radiology
Year: 2022


 

Vidhushavarshini Sureshkumar | Engineering | Best Researcher Award

Dr. Esi Elliot | Business, Management and Accounting | Best Researcher Award

University of Texas at Rio Grande Valley | United States

Author Profile

Scopus

Early Academic Pursuits 📚

Dr. Esi Elliot began her academic journey with a Bachelor of Science in Banking and Finance from the University of Ghana, followed by an MBA in International Business from Schiller International University, United Kingdom. She pursued further studies with a Ph.D. in Business Administration (Marketing) from the University of Illinois at Chicago, laying a strong foundation for her future career in academia and business.

Professional Endeavors 💼

Dr. Elliot's professional career is marked by her roles as an Assistant Professor of Practice in International Business and Entrepreneurship at the University of Texas at Rio Grande Valley. She has also served as an Assistant Professor of Marketing at Midwestern State University, Suffolk University, and a Visiting Assistant Professor at George Washington University. Her professional journey includes significant contributions in teaching international business, marketing, and entrepreneurship at various esteemed institutions.

Contributions and Research Focus 🔍

Dr. Elliot's research focuses on international business, globalization, and entrepreneurship. Her work includes studies on value co-creation, digital financial services in emerging markets, and strategic financial management. Notable publications include articles in the Journal of Business Research and Sustainability, contributing valuable insights into customer experience, environmental sustainability, and digital financial inclusion.

Accolades and Recognition 🏆

Dr. Elliot has received several prestigious awards for her contributions to academia and industry. Highlights include the Global Black Women in Banking and Finance Annual Honors Award and recognition for innovative excellence in marketing education from the American Marketing Association. She has also been acknowledged for her academic excellence and contributions to teaching and research through various awards and honors.

Impact and Influence 🌍

Dr. Elliot's impact extends beyond academia into the realms of business and innovation. Her role as CEO of Anansewaa Global Market Foundation and her pro-bono consulting for the African Continental Free Trade Area demonstrate her commitment to youth development and entrepreneurial support. Her innovative approaches in marketing and product development have significantly influenced the banking industry in Ghana.

Legacy and Future Contributions 🌟

Dr. Elliot's legacy is defined by her dedication to education, research, and professional excellence. Her future contributions are likely to continue shaping the fields of international business and entrepreneurship through innovative research and impactful teaching. Her ongoing efforts to support entrepreneurial development and global business strategies will undoubtedly leave a lasting impact on the academic and professional communities.

 

Publications  📚


  • 📝 Environmental sustainability and customer experience in emerging markets
    Authors: Tsetse, E.K.K., Adams, R., Elliot, E.A., Downey, C.
    Journal: Business Strategy and the Environment
    Year: 2024

  • 📝 From racialized brands to authentic brands: Dynamic conceptual blending
    Authors: Elliot, E.A., Cavazos, C., Chow, A.M.
    Journal: Journal of Global Scholars of Marketing Science
    Year: 2024

  • 📝 Customer Value Co-Creation: Environmental Sustainability as a Tourist Experience
    Authors: Elliot, E.A., Adams, R., Tsetse, E.K.K.
    Journal: Sustainability (Switzerland)
    Year: 2023

  • 📝 Ethnic chambers of commerce and co-creation of value: a synthesis of cultural and networking competencies
    Authors: Elliot, E., Smith, R.S., Bicen, P.
    Journal: Journal of Research in Marketing and Entrepreneurship
    Year: 2023

  • 📝 Digital Financial Services and Strategic Financial Management: Financial Services Firms and Microenterprises in African Markets
    Authors: Elliot, E.A., Cavazos, C., Ngugi, B.
    Journal: Sustainability (Switzerland)
    Year: 2022

  • 📝 Mobile Financial Services at the Base of the Pyramid: A Systematic Literature Review: An Abstract
    Authors: Dadzie, C.A., Kwaramba, M., Elliot, E.
    Journal: Developments in Marketing Science: Proceedings of the Academy of Marketing Science
    Year: 2022

 

Vidhushavarshini Sureshkumar | Engineering | Best Researcher Award

Assist Prof Dr. Vidhushavarshini Sureshkumar | Engineering | Best Researcher Award

SRM Institute of Technology | India

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Early Academic Pursuits 🎓

Dr. Vidhushavarshini Sureshkumar's academic journey is a testament to her dedication to excellence. She earned her Ph.D. in Information and Communication Engineering from Sona College of Technology under Anna University in 2022. Prior to this, she completed her M.E. in Computer Science and Engineering from Vinayaka Missions Kirubanandha Variyar Engineering College, achieving first-class honors. Her academic accomplishments extend to various domains, including an MBA in Human Resource Management and an M.Sc. in Psychology from IGNOU and Madras University, respectively, showcasing her interdisciplinary approach to education.

Professional Endeavors 💼

Dr. Vidhushavarshini's professional career spans several esteemed institutions. Currently, she serves as an Assistant Professor (Senior Grade) at SRM Institute of Technology. She has previously held positions at Sona College of Technology and Gnanamani College of Technology, where she contributed as both a faculty member and a research scholar. Her roles have not been limited to academia; she has also been a subject matter expert and content developer for SkillUp Technologies. Her career is marked by a strong commitment to student development, as evidenced by her work in placement training, curriculum design, and as a class counselor.

Contributions and Research Focus 🔬

Dr. Vidhushavarshini's research interests lie in Bioinformatics, Machine Learning, Deep Learning, and Data Science, among others. She has published extensively in high-impact journals, with significant contributions to the fields of thyroid disease classification, breast cancer diagnosis, and cardiovascular disease prediction using advanced computational techniques. Her work integrates cutting-edge technologies like IoT, deep learning, and XGBoost, addressing critical issues in healthcare and computer science.

Accolades and Recognition 🏅

Throughout her career, Dr. Vidhushavarshini has received numerous accolades for her academic and professional contributions. She has been recognized for securing the top rank in technical English assessments and has played a pivotal role as a resource person in faculty development programs. Her achievements in securing placements for students in multinational corporations highlight her influence as an educator and mentor.

Impact and Influence 🌍

Dr. Vidhushavarshini's impact extends beyond the classroom. Her leadership in organizing workshops on artificial intelligence, deep learning, and ethical hacking has empowered countless students and professionals. She has also contributed to national and international conferences, sharing her expertise and fostering collaborations that push the boundaries of technology and education.

Legacy and Future Contributions 🌟

Dr. Vidhushavarshini's legacy is defined by her unwavering commitment to education and research. As she continues to advance in her career, her future contributions promise to be just as impactful. With a strong foundation in interdisciplinary studies and a passion for innovation, she is poised to make significant strides in the fields of computer science and engineering, leaving an indelible mark on the academic and professional communities.

 

Publications 📚


📝Revolutionizing Breast Cancer Diagnosis: A Concatenated Precision through Transfer Learning in Histopathological Data Analysis
Author : Jaganathan, D., Balasubramaniam, S., Sureshkumar, V., Dhanasekaran, S.
Journal & Year : Diagnostics, 2024


📝An Improved Long Short-Term Memory Algorithm for Cardiovascular Disease Prediction
Author : Revathi, T.K., Balasubramaniam, S., Sureshkumar, V., Dhanasekaran, S.
Journal & Year : Diagnostics, 2024


📝A Comparative Study on Thyroid Nodule Classification Using Transfer Learning Methods
Author : Sureshkumar, V., Jaganathan, D., Ravi, V., Velleangiri, V., Ravi, P.
Journal & Year : Open Bioinformatics Journal, 2024


📝Smart Healthcare Monitoring System: Integrating IoT, Deep Learning, and XGBoost for Real-Time Patient Diagnosis
Author : Paulraj, K., Soms, N., David Samuel Azariya, S., Jeba Emilyn, J., Sureshkumar, V.
Journal & Year : OCIT 2023 - 21st International Conference on Information Technology, Proceedings, 2023


📝Optimization of Process Parameters on Wire Cut Electrical Discharge Machining and Surface Integrity Studies of AA6070/MgO Composites
Author : Vinoth, S., Rajasekar, C., Sathish, P., Hasane Ahammad, S., Girimurugan, R.
Journal & Year :  Journal of Physics: Conference Series, 2023


 

Harikumar Rajaguru | Engineering | Best Researcher Award

Dr. Harikumar Rajaguru | Engineering | Best Researcher Award

Bannari Amman Institute of Technology | India

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Dr. Harikumar Rajaguru began his academic journey in electronics and communication engineering. He completed his Bachelor of Engineering in Electronics and Communication Engineering from Regional Engineering College, Trichy, affiliated with Bharathidasan University, in 1988. He then pursued a Master of Engineering in Applied Electronics at the College of Engineering, Guindy, under Anna University Chennai, graduating in 1990. His passion for biomedical signal processing led him to obtain a Ph.D. in Information and Communication Engineering, with a specialization in Bio Signal Processing, from Thiagarajar College of Engineering, Madurai, under Anna University Chennai in 2009. His Ph.D. thesis focused on the use of soft computing techniques and non-linear models for the performance analysis and classification of epilepsy risk levels from EEG signals.

Professional Endeavors

Dr. Rajaguru's professional career spans over 33 years in academia. He began as a lecturer and senior lecturer at PSNA College of Engineering and Technology, Dindigul, where he served for ten years. He then worked as an Assistant Professor at PSG College of Technology, Coimbatore, for one year. His journey continued at Amrita Institute of Technology, Coimbatore, as a Senior Lecturer and Assistant Professor for over two years. Dr. Rajaguru also spent time as a research scholar at Thiagarajar College of Engineering, Madurai. Since 2006, he has been a professor at Bannari Amman Institute of Technology, Sathyamangalam, where he has contributed significantly to the field of biomedical signal processing and soft computing.

Contributions and Research Focus

Dr. Rajaguru has made substantial contributions to biomedical signal processing, particularly in the classification of epilepsy risk levels from EEG signals. He has been involved in several funded projects, including the development of an ASIC fuzzy processor for diabetic epilepsy risk level classification, wavelet networks for epilepsy risk levels classification from EEG signals, and a non-invasive photo plethysmographic-based glucometer for mass diabetes screening. His research primarily focuses on applying soft computing techniques and developing non-linear models for analyzing and classifying biomedical signals.

Accolades and Recognition

Throughout his career, Dr. Rajaguru has received numerous accolades and recognition for his contributions to engineering and biomedical signal processing. He has published multiple papers in SCI-indexed journals and conferences, showcasing his research findings and innovations. His work has been recognized with patents for various biomedical devices, including an electro gastrogram system for detecting gastric disorders, a sensor for stress measurement using photo plethysmography, and a device for detecting ventricular tachycardia. These patents highlight his innovative approach to solving complex biomedical problems.

Impact and Influence

Dr. Rajaguru's work has significantly impacted biomedical signal processing, particularly in the analysis and classification of epilepsy risk levels and the development of non-invasive diagnostic tools. His research has provided new insights into the use of soft computing and wavelet networks in biomedical applications. His contributions have influenced both academic research and practical applications in the medical field, improving diagnostic techniques and patient outcomes.

Legacy and Future Contributions

Dr. Rajaguru's legacy lies in his dedication to advancing biomedical signal processing through innovative research and teaching. He has guided numerous students in their research projects, fostering the next generation of engineers and researchers. As he continues his work at Bannari Amman Institute of Technology, he is poised to make further contributions to the field, particularly in developing new diagnostic tools and techniques for medical applications. His commitment to research and education ensures that his influence will be felt for years to come, both in academia and the broader field of biomedical engineering.

 

Notable Publications

Wavelet feature extraction and bio-inspired feature selection for the prognosis of lung cancer − A statistical framework analysis 2024

Processing of digital mammogram images using optimized ELM with deep transfer learning for breast cancer diagnosis 2023 (5)

Exploration and Enhancement of Classifiers in the Detection of Lung Cancer from Histopathological Images 2023 (6)

Detection of Diabetes through Microarray Genes with Enhancement of Classifiers Performance 2023 (1)

Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift 2023 (6)

 

 

 

Bin Hu | Medicine and Dentistry | Best Researcher Award

Mr. Bin Hu | Medicine and Dentistry | Best Researcher Award

Hubei University of Technology | China

Author Profile

Scopus

Early Academic Pursuits

Bin Hu embarked on his academic journey at Hubei University of Technology, specializing in computer vision. During his undergraduate studies, he demonstrated exceptional promise by authoring three papers, including a groundbreaking cell nucleus segmentation method published in a prestigious journal.

Professional Endeavors

Currently pursuing graduate studies, Bin Hu has amassed over 7 years of experience in computer vision. He has led research projects during his postgraduate studies and actively contributed to multidisciplinary collaborations, showcasing his ability to tackle diverse challenges.

Contributions and Research Focus

Bin Hu's research focuses on computer vision, with a particular emphasis on developing advanced segmentation methods for medical imaging. His recent work introduces the Double-stage Codec Attention Network, a novel approach for accurate nucleus segmentation from tissue images. This method leverages hierarchical feature extraction, feature selection units, and multi-scale deep feature fusion to achieve superior segmentation performance.

Accolades and Recognition

Bin Hu's contributions have garnered recognition both nationally and internationally. He holds two national patents for inventions in his field and has presented his research at esteemed conferences such as IEEE Transactions on Medical Imaging. His pioneering work has earned him awards and recognition.

Impact and Influence

Bin Hu's research has significant implications for clinical applications, particularly in the field of medical imaging. His innovative segmentation methods, such as DSCA-Net, outperform state-of-the-art models and demonstrate excellent efficiency in generating predictive images. His contributions have the potential to advance the field of computer vision and improve medical diagnosis and treatment.

Legacy and Future Contributions

Bin Hu's expertise in computer vision and his practical problem-solving skills position him as a valuable contributor to innovative projects in both academic and industrial settings. His dedication to advancing research in medical imaging underscores his commitment to making meaningful contributions to society. As he continues his academic and professional journey, Bin Hu aims to further expand his research portfolio and drive advancements in computer vision technology.

Notable Publications

DSCA-Net: Double-stage Codec Attention Network for automatic nuclear segmentation 2024

Focus Stacking with High Fidelity and Superior Visual Effects 2024