Vishwanath Shervegar | Engineering | Best Researcher Award

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Dr. Vishwanath Shervegar | Engineering | Best Researcher Award

Moodlakatte Institute of Technology Kundapura | India

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Early Academic Pursuits

Dr. Vishwanath Shervegar began his academic journey with a strong foundation in Electronics and Communication Engineering, which was nurtured at the undergraduate level. His pursuit of advanced studies led him to complete a postgraduate program in Digital Electronics and Advanced Communication, where he honed his expertise in applied electronics. His doctoral research in Biomedical Signal Processing marked a significant milestone, reflecting his deep commitment to bridging the gap between electronics and healthcare applications. These formative years shaped his academic curiosity, laying the groundwork for a career dedicated to innovation in biomedical instrumentation and computational methods.

Professional Endeavors

His professional career has been marked by consistent growth within the field of Electronics and Communication Engineering. Beginning as a lecturer, Dr. Shervegar steadily advanced through academic ranks, gaining experience across reputed institutions. His journey includes long-term service as an Assistant and Associate Professor before taking on the role of Professor at the Moodlakatte Institute of Technology. Alongside his teaching responsibilities, he has contributed to curriculum development, placement coordination, and mentorship, creating a strong academic environment that supports both research and student success. His professional endeavors highlight a balance between educational leadership and research advancement.

Contributions and Research Focus

The central focus of Dr. Shervegar’s research lies in biomedical signal processing, where he has developed novel methods for the analysis, classification, and denoising of phonocardiogram signals. His work demonstrates an integration of artificial intelligence and machine learning techniques with healthcare diagnostics, making significant contributions to cardiac signal processing and intelligent biomedical instrumentation. He has authored impactful research publications in reputed journals and contributed to book chapters that expand the scope of medical science and engineering integration. His innovative approaches, such as adaptive filtering techniques and wavelet scattering transforms, have advanced the precision and reliability of heart sound analysis.

Accolades and Recognition

Dr. Shervegar has earned recognition for his scholarly contributions through publications in highly indexed international journals and books published by leading academic publishers. His doctoral and postgraduate theses remain available in digital repositories, reflecting the academic value of his research. He has also been entrusted with responsibilities as a reviewer for multiple prestigious international journals from Elsevier and Springer, and has served as a technical program committee member for IEEE international conferences. His membership with the Institution of Electrical and Electronics Engineers as a senior member and his life membership with the Indian Society for Technical Education further highlight his professional stature.

Impact and Influence

Beyond his research contributions, Dr. Shervegar has had a significant impact on academic and research communities. His participation in international conferences, workshops, and faculty development programs has provided platforms to share knowledge and exchange innovative ideas with peers across the globe. By organizing workshops on signal and image processing using Python and participating in collaborative programs with institutions like IIT Madras and Binghamton University, he has fostered a culture of interdisciplinary learning. His mentorship has influenced many young researchers and students, inspiring them to pursue careers in electronics, biomedical engineering, and computational technologies.

Legacy and Future Contributions

The legacy of Dr. Shervegar lies in his contributions to integrating technology with healthcare solutions, particularly in the domain of biomedical signal processing. His research on phonocardiography stands as a pioneering effort in redefining cardiac auscultation with the support of artificial intelligence. Looking ahead, his focus on developing advanced algorithms, intelligent healthcare systems, and machine learning-based biomedical instruments is expected to shape the future of diagnostic methodologies. With his continuing academic leadership and dedication to interdisciplinary research, his future contributions promise to influence both the scientific and medical communities on a broader scale.

Publications

Article: Heart Sound Classification Technique for Early CVD Detection using Improved Wavelet Time Scattering and Discriminant Analysis Classifiers
Author: Vishwanath Madhava Shervegar
Journal: Informatics and Health
Year: 2025

Article: Event Synchronous Segmentation of Phonocardiogram – A New Frontier to Heart Sound Delineation
Author: Vishwanath Madhava Shervegar
Journal: Medicine and Medical Research: New Perspectives
Year: 2024

Article/Book Chapter: Sliding Window Adaptive Filter for Denoising PCG Signals
Authors: Vishwanath Madhava Shervegar, Jagadish Nayak
Book: 5G-Based Smart Hospitals and Healthcare Systems: Evaluation, Integration, and Deployment
Year: 2023

Book: 5G-Based Smart Hospitals and Healthcare Systems: Evaluation, Integration, and Deployment
Authors: Arun Kumar, Sumit Chakravarty, Mohit Kumar Sharma
Publisher: CRC Press
Year: 2023

Preprint Article: Continuous Wavelet Transform based Phonocardiogram Delineation Method
Contributor: Vishwanath Madhava Shervegar
Source: Europe PubMed Central (Preprint DOI: 10.21203/rs.3.rs-1416616/v1)
Year: 2022

Conclusion

In conclusion, Dr. Vishwanath Shervegar’s career exemplifies the meaningful integration of electronics, communication, and medical science, with his impactful research in biomedical signal processing and machine learning leaving a lasting influence on healthcare technology and continuing to drive innovation in the years to come.

Kalei Hering | Medicine and Dentistry | Best Researcher Award

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

Harvard Medical School | United States

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🎓 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

 

Innovator Pramod Stephen | Innovation | Best Researcher Award

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Mr. Innovator Pramod Stephen | Innovation | Best Researcher Award

Multi Agro Products | India

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Early Academic Pursuits

Mr. Innovator Pramod Stephen began his educational journey with a strong foundation, earning his Matriculation Certificate from James Harvey Memorial Higher Secondary School, Nawabganj, Gonda, Uttar Pradesh in 1973. Following this, he obtained his Intermediate Class Certificate from BRA Bihar University, Muzaffarpur. His pursuit of knowledge also led him to the medical field, where he earned a Para Medical Certificate from Gandhi Memorial Leprosy Foundation, Wardha, Maharashtra. These diverse academic credentials laid the groundwork for his future innovations and research in healthcare and grassroots technology.

Professional Endeavors

Throughout his career, Mr. Pramod Stephen has participated in various prestigious hackathons, including Drug Discovery Hackathon, Agri Hackathon, and Road Safety Hackathon, showcasing his passion for tackling real-world challenges. His professional ventures extend across multiple fields, from healthcare to environmental sustainability, where his innovations have made significant contributions to society.

Contributions and Research Focus

Driven by a deep commitment to serving society, Mr. Stephen's seven groundbreaking innovations are a testament to his creativity and problem-solving ability. Some of his notable inventions include:

  1. Low-Cost Animal Feed, making sustainable agriculture more accessible.
  2. Treatment of many diseases by colic acid, a patent registered under No. 834/Kol/2007.
  3. Odor-free Waterless & Infection-free Toilets & Urinals, with design No. 313073-001.
  4. Carbon Control Device, contributing to a cleaner environment.
  5. Head Protective Cap, improving personal safety.
  6. Green Garbage Fully Digesting Gas Plant, with design No. 392178-001, promoting eco-friendly waste management.

He also authored the book "Your Health Is In Your Mouth", published in the USA, offering valuable insights into diabetes and metabolic disorders. A Hindi version titled "Aapka Swasthy Apke Muh Mein" was published by Blueroseone.com.

Accolades and Recognition

Mr. Pramod Stephen has been honored with numerous prestigious awards, reflecting his innovative spirit and contribution to society:

  • SRISTI Samman
  • Champaran Ratan
  • Rotary Club Samman
  • Sandhi Bhumi Samman

These accolades underscore his impact across various domains, from grassroots innovation to public health and safety.

Impact and Influence

The influence of Mr. Stephen’s work extends beyond his direct innovations. His designs, particularly in areas such as sanitation (waterless and infection-free toilets) and environmental sustainability (carbon control device), have the potential to address global challenges. His holistic approach, blending science with humanitarian goals, reflects his vision to create solutions that benefit people from all walks of life, particularly in underprivileged communities.

Legacy and Future Contributions

Mr. Stephen’s legacy lies not only in the practical applications of his inventions but also in his ability to inspire future generations of innovators. His book "Your Health Is In Your Mouth" serves as a tool to empower individuals to take control of their health, particularly those with diabetes and other metabolic disorders. With a track record of impactful solutions, Mr. Pramod Stephen is poised to continue contributing to society, potentially ushering in more innovations that bridge the gap between technology and human well-being.

 

Publications

Aap Ka Swasth Aap Ke Muh Me
Author: Innovator Pramod Stephen
Journal/Source: BlueRoseOne.com
Year: 2023-06-15
Type: Book

Metabolic Disorders Solve Program
Author: Innovator Pramod Stephen
Journal/Source: Lulu.com
Year: 2022-03-05
Type: Book

Your Health Is In Your Mouth
Author: Innovator Pramod Stephen
Journal/Source: Amazon
Year: 2021-01-09
Type: Book | Conceptualization

 

Doohyun Park | Computer Science | Best Researcher Award

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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

 

Govindaraj Sabarees | Materials Science | Best Researcher Award

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Dr. Govindaraj Sabarees | Materials Science | Best Researcher Award

Shri Venkateshwara College of Pharmacy | India

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Early Academic Pursuits 🎓

Dr. Govindaraj Sabarees began his academic journey with a solid foundation in pharmacy. He earned his B. Pharmacy degree from Sankaralingam Bhuvaneshwari College of Pharmacy, Sivakasi, Tamil Nadu, achieving first-class honors. This was followed by an M. Pharmacy in Pharmaceutical Chemistry from C.L. Baid Metha College of Pharmacy, Chennai, where he also graduated with first-class distinction. His academic achievements laid the groundwork for his research-oriented career.

Professional Endeavors 🏢

Dr. Sabarees gained significant experience as a Bioanalytical Research Associate at Amaris Clinical, a division of Caplin Point Laboratories, Chennai. During this period, he honed his skills in bioanalytical methods, high-end equipment handling, and synthetic organic chemistry. His hands-on experience in these areas has contributed to his expertise in pharmaceutical research, particularly in the development and validation of analytical methods.

Contributions and Research Focus 🔬

Dr. Sabarees has made substantial contributions to pharmaceutical research, particularly in the field of wound healing and molecular docking. His research includes the discovery of curcumin analogs as potential wound healing agents and the development of novel electrospun nanofibers for biomedical applications. His work has been widely published in reputable journals, showcasing his ability to bridge the gap between theoretical research and practical applications in medicine.

Accolades and Recognition 🏆

Throughout his career, Dr. Sabarees has received recognition for his contributions to pharmaceutical research. His participation in various national and international conferences, where he has presented his findings, has earned him a respected place in the academic and research community. His publications in high-impact journals further underscore his commitment to advancing the field of pharmaceutical sciences.

Impact and Influence 🌍

Dr. Sabarees's research has had a significant impact on the development of new therapeutic agents and materials, particularly in the area of wound management. His work on molecular docking and dynamics simulations has opened new avenues for drug discovery and development. His influence extends to his role as a mentor and educator, where he has guided junior researchers and pharmacy students, helping shape the next generation of pharmaceutical scientists.

Legacy and Future Contributions 🌟

As Dr. Sabarees continues to advance in his career, his ongoing research and future projects promise to make lasting contributions to the field of pharmaceutical sciences. His work on electrospun nanofibers and molecular docking is likely to lead to new breakthroughs in drug delivery systems and therapeutic materials. Dr. Sabarees's legacy will be one of innovation, dedication, and a commitment to improving healthcare outcomes through cutting-edge research.

 

Publications

  • 📖 Fabrication of Quercetin-Functionalized Morpholine and Pyridine Motifs-Laden Silk Fibroin Nanofibers for Effective Wound Healing in Preclinical Study
    Authors: Govindaraj Sabarees, Vadivel Velmurugan, Siddan Gouthaman, Viswas Raja Solomon, Subramani Kandhasamy
    Journal: Pharmaceutics
    Year: 2024
  • 📖 Advances in Electrospun Chitosan Nanofiber Biomaterials for Biomedical Applications
    Authors: Ganesan Padmini Tamilarasi, Manikandan Krishnan, Govindaraj Sabarees, S. Gouthaman, Alagarsamy Veerchamy, Viswas Raja Solomon
    Journal: Materials Advances
    Year: 2023
  • 📖 Discovery of new naphthyridine hybrids against enoyl-ACP reductase (inhA) protein target of Mycobacterium tuberculosis: Molecular docking, molecular dynamics simulations studies
    Authors: Govindaraj Sabarees, Vadivel Velmurugan, Viswas Raja Solomon
    Journal: Chemical Physics Impact
    Year: 2023
  • 📖 Recent Trends in Electrospun Antibacterial Nanofibers for Chronic Wound Management
    Authors: Ganesan Padmini Tamilarasi, Govindaraj Sabarees, Krishnan Manikandan, Siddan Gouthaman, Veerachamy Alagarsamy, Viswas Raja Solomon
    Journal: Current Nanomedicine
    Year: 2023
  • 📖Recent Developments in Electrospun Nanofibers as Delivery of Phytoconstituents for Wound Healing
    Authors: Govindaraj Ajith, Ganesan Padmini Tamilarasi, Govindaraj Sabarees, Siddan Gouthaman, Krishnan Manikandan, Vadivel Velmurugan, Veerachamy Alagarsamy, Viswas Raja Solomon
    Journal: Drugs and Drug Candidates
    Year: 2023

 

Vidhushavarshini Sureshkumar | Engineering | Best Researcher Award

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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

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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

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Dr. Harikumar Rajaguru | Engineering | Best Researcher Award

Bannari Amman Institute of Technology | India

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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)

 

 

 

Debapriya Banik | Computer Science | Best Researcher Award

Published on by Book of Award

Dr. Debapriya Banik | Computer Science | Best Researcher Award

ICFAI University | India

Author profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Dr. Debapriya Banik embarked on his academic journey with a solid foundation in secondary and higher secondary education at Holy Cross School in Agartala, achieving commendable scores in both ICSE and ISC examinations. His passion for Computer Science led him to pursue a Bachelor of Technology (B.Tech) in Computer Science and Engineering at the National Institute of Technology Agartala, where he graduated with a CGPA of 7.59. His pursuit of higher education continued at Tripura University, where he excelled in his Master of Technology (M.Tech) in Computer Science and Engineering, earning a gold medal for securing the highest percentage. Dr. Banik's academic endeavors culminated in a Doctor of Philosophy (Ph.D.) in Computer Science and Engineering from Jadavpur University, where he focused on developing computer-aided techniques for the early prediction of colorectal cancer based on diagnostic image analysis.

Professional Endeavors

Dr. Banik's professional career is marked by diverse and impactful roles in academia and industry. He began his career as a consultant at Polaris Financial Technology Ltd in Chennai, gaining valuable industry experience. Transitioning to academia, he served as a Junior Research Fellow (JRF) on a DBT Twinning Project at Jadavpur University, working on techniques for pain management and breast cancer using IR imaging. He then became a Senior Research Fellow (SRF)-Direct at Jadavpur University under the sponsorship of the Council for Scientific and Industrial Research, Government of India. His academic career continued to flourish as he took on roles as an Assistant Professor at Techno India in Kolkata and later at ICFAI University in Tripura, where he currently teaches in the Department of Computer Science & Engineering.

Contributions and Research Focus

Dr. Banik's research has significantly contributed to the field of computer science, particularly in medical image analysis. His Ph.D. thesis focused on developing computer-aided techniques for the early prediction of colorectal cancer, leveraging diagnostic image analysis. Additionally, he has worked on the design and development of techniques for pain management and breast cancer using IR imaging. His innovative research approaches have not only advanced the field but also provided practical solutions for critical medical challenges. Dr. Banik's work is characterized by a strong focus on applying machine learning and computational techniques to enhance diagnostic accuracy and efficiency.

Accolades and Recognition

Dr. Banik's academic excellence and research contributions have earned him numerous awards and recognitions. He was awarded a gold medal for his outstanding performance in M.Tech at Tripura University. He received the DST-Inspire fellowship from the Department of Science and Technology, Government of India, and the North Eastern Council (NEC) Scheme fellowship for postgraduate studies. Dr. Banik secured the first position in the Workshop on Machine Learning for Medical Image Analysis (WMLMIA) - Fetal Ultrasound Censor (FUC) Grand Challenge, organized by the Department of Electrical Engineering at IIT Kharagpur. Additionally, he had the opportunity for a short-term research visit to the Medical University of Vienna, Austria, sponsored by DST, Government of India, where he worked on developing a computer-assisted diagnosis system for segmenting and detecting abnormalities and diseases under the supervision of Prof. Christian Kollman.

Impact and Influence

Dr. Banik's work has had a profound impact on the field of medical image analysis, particularly in the early detection and management of diseases such as colorectal and breast cancer. His research has paved the way for more accurate and efficient diagnostic tools, improving patient outcomes and contributing to the advancement of medical technology. As an educator, he has influenced and mentored numerous students, fostering a new generation of computer science professionals who are equipped with cutting-edge knowledge and skills.

Legacy and Future Contributions

Dr. Banik's legacy lies in his dedication to advancing the field of computer science through innovative research and his commitment to education. His work continues to inspire researchers and students alike, and his contributions to medical image analysis have set a high standard for future research in the field. Looking ahead, Dr. Banik aims to further his research on computer-aided diagnosis systems, exploring new applications and techniques to address emerging challenges in healthcare. His future contributions are expected to continue making significant strides in improving diagnostic accuracy and patient care through advanced computational methods.

 

Notable Publications

Robust medical and color image cryptosystem using array index and chaotic S-box 2024

dHBLSN: A diligent hierarchical broad learning system network for cogent polyp segmentation 2024

2pClPr: A Two-Phase Clump Profiler for Segmentation of Cancer Cells in Fluorescence Microscopic Images 2023 (2)

RBECA: A regularized Bi-partitioned entropy component analysis for human face recognition 2022 (1)

LwMLA-NET: A Lightweight Multi-Level Attention-based NETwork for Segmentation of COVID-19 Lungs Abnormalities from CT Images 2022 (39)

 

 

 

Yunyoung Nam | Computer Science | Best Researcher Award

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Prof. Yunyoung Nam | Computer Science | Best Researcher Award

Soonchunhyang University | South Korea

Author Profile

Scopus

Early Academic Pursuits

Prof. Yunyoung Nam began his academic journey with a focus on Information and Communication. He achieved significant recognition early in his career, earning the Presidential Award for Excellence in Graduate School of Information and Communication in both 2003 and 2007. He also received the Dasan Fellowship from Ajou University in 2000, demonstrating his potential and commitment to his field from the start.

Professional Endeavors

Prof. Nam's professional career is marked by a series of progressive roles in academia and research. He served as a Senior Researcher at the Ubiquitous Convergence Research Institution from 2007 to 2010, followed by multiple postdoctoral positions at Stony Brook University-SUNY and Worcester Polytechnic Institute. He transitioned to academia as a Research Assistant Professor at Ajou University before joining Soonchunhyang University, where he has held positions as Assistant Professor, Associate Professor, and currently, Professor since 2023.

Contributions and Research Focus

Prof. Nam's research interests span a wide range of cutting-edge topics, including multimedia information retrieval, digital signal processing, machine learning methods for multimedia applications, and biomedical engineering. His contributions to these fields are substantial, with notable projects such as the development of a 3D deep-learning-based diagnosis platform for retinal disease, and a smartphone-based diagnosis and referral platform for chronic diseases. His research has been supported by prestigious organizations, including the National Research Foundation (NRF) and the Ministry of Science, ICT, and Future Planning (MSIP).

Accolades and Recognition

Throughout his career, Prof. Nam has been recognized for his exceptional contributions to research and academia. He has received the Presidential Award for Best Researcher at Soonchunhyang University three times (2015, 2018, 2020), highlighting his sustained excellence in research. Additionally, he was included in the 2011 edition of Who's Who in America, further acknowledging his influence and impact in his field.

Impact and Influence

Prof. Nam's impact extends beyond his research contributions. As an educator, he has taught a wide range of courses at Soonchunhyang University, including C#, AI, algorithms, data structure, discrete mathematics, and software engineering. His commitment to teaching and mentorship has influenced many students and upcoming researchers. Moreover, his membership in several professional associations such as IEEE and the Korea Information Processing Society, and his editorial roles in various journals, underscore his active involvement in the academic community.

Legacy and Future Contributions

Prof. Nam's legacy is defined by his relentless pursuit of knowledge and innovation in multimedia applications and biomedical engineering. His research projects, such as the RNA Innovation Human Resources Project for the Hyper-connected Convergence Industry, and the training of experts for the intelligent home care industry, are paving the way for future advancements. As he continues to lead and innovate, Prof. Nam's future contributions are expected to significantly influence both academic research and practical applications in his areas of expertise.

 

Notable Publications

Localization and grading of NPDR lesions using ResNet-18-YOLOv8 model and informative features selection for DR classification based on transfer learning 2024

Novelty of Different Distance Approach for Multi-Criteria Decision-Making Challenges Using q-Rung Vague Sets 2024

Federated Learning for Computational Offloading and Resource Management of Vehicular Edge Computing in 6G-V2X Network 2024 (5)

A gamified cognitive behavioral therapy for Arabs to reduce symptoms of depression and anxiety: A case study research 2024

Sleep Posture Classification Using RGB and Thermal Cameras Based on Deep Learning Model 2024