Margarita Kilili-Lesta | Health Professions | Best Researcher Award

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Dr. Margarita Kilili-Lesta | Health Professions | Best Researcher Award

European University Cyprus | Cyprus

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🎓 Early Academic Pursuits

Dr. Margarita Kilili-Lesta's academic journey began at The Grammar School in Nicosia, where she laid the foundation for her lifelong dedication to health sciences. Her pursuit of higher education took her from Cyprus College to the University of Wisconsin-Madison, USA, where she double-majored in Communicative Disorders and Psychology with academic distinction, supported by a prestigious Fulbright Scholarship. She advanced her specialization with a Master’s degree in Communicative Disorders: Speech-Language Pathology at San Diego State University, excelling in bilingual research and clinical application. Her scholarly path culminated in a Ph.D. in Public Health from European University Cyprus, where she undertook a nationally recognized study on autism spectrum disorder (ASD) in children.

🧑‍🏫 Professional Endeavors

With over two decades of professional experience across the U.S. and Cyprus, Dr. Kilili-Lesta has worked in both academic and clinical capacities. From being a Speech-Language Pathologist in San Diego to teaching Speech-Language Therapy at EUC, she has been a dynamic contributor in multiple roles—educator, clinical supervisor, researcher, and public health advocate. Her contributions at institutions like the Ministry of Education, Sport, and Youth and AKTIdA Autism Support Centre underscore her commitment to inclusive education and community care.

🔬 Contributions and Research Focus

Dr. Kilili-Lesta’s research bridges the critical intersection of speech-language pathology, public health, and autism. Her doctoral work led to the development of a parent-report tool for identifying minimally verbal children with ASD—a pioneering initiative for Cyprus. Her scholarly output includes studies on gesture-based early prediction, language development in ASD, and the efficacy of augmentative communication systems. Additionally, she has actively explored the benefits of telepractice, especially in the wake of the COVID-19 pandemic, transforming therapy delivery and education.

🏅 Accolades and Recognition

Her excellence has been recognized through numerous awards and scholarships, including the Phi Beta Delta Scholarship, SDSU Memorial Scholarships, and the CASP Fulbright Grant. She has also served in leadership roles, such as Secretary of the Special Education Committee of Nicosia District, representing speech-language pathologists at the ministry level.

🌐 Impact and Influence

Dr. Kilili-Lesta’s influence spans multiple sectors: she trains future therapists, guides families of children with autism, and shapes national screening and intervention tools. Through her affiliation with international associations like ASHA and IALP, and her contribution to the iCommunicate Research Center, her work resonates globally. Her initiatives in telepractice and digital learning have set new standards for accessibility in therapy and education.

🧬 Legacy and Future Contributions

With a growing list of high-impact publications and ongoing collaboration in cross-sectional and longitudinal studies, Dr. Kilili-Lesta is paving the way for enhanced diagnostic accuracy and evidence-based interventions in ASD. Her future endeavors aim to further refine early screening tools, develop inclusive therapy protocols, and promote culturally relevant research methodologies. Her legacy is not only one of academic rigor but also of compassionate service to marginalized populations.

Publications

  • 📄 The Childhood Prevalence, Gender Ratio, and Characteristics of Autism Spectrum Disorder in Cyprus Using School Report: A Cross-Sectional Study
    Authors: Margarita Kilili-Lesta, Konstantinos Giannakou, Louiza Voniati
    Journal: Advances in Neurodevelopmental Disorders
    Year: 2025

  • 📄 Early Development Score as a Prognostic Factor in Nonverbal/Minimally Verbal Children with Autism Spectrum Disorder: A Matched Case-Control Study in Cyprus
    Authors: Margarita Kilili-Lesta, Konstantinos Giannakou, Louiza Voniati
    Journal: Autism & Developmental Language Impairments
    Year: 2024

  • 📄 The Communication Patterns Between Speech–Language Therapists and Parents/Guardians of Children with Developmental Language Disorders in Private Speech–Language Therapy in Cyprus
    Authors: Louiza Voniati, Spyros Armostis, Margarita Kilili-Lesta, Dionysios Tafiadis, Konstantinos Giannakou
    Journal: Languages
    Year: 2023

  • 📄 Early Gesture as a Predictor of Later Language Outcome for Young Children with Autism Spectrum Disorder (ASD): A Systematic Literature Review
    Authors: Margarita Kilili-Lesta, Louiza Voniati, Konstantinos Giannakou
    Journal: Current Developmental Disorders Reports
    Year: 2022

  • 📄 Speech-Language Therapy Clinical Services, Student Education, and Practical Training in the Time of COVID-19: The Rise of Telepractice, Telesupervision, and Distance Learning in Cyprus
    Author: Margarita Kilili-Lesta
    Journal: Perspectives of the ASHA Special Interest Groups
    Year: 2021

 

Bin Zheng | Biomedicine | Best Researcher Award

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Prof. Dr. Bin Zheng | Biomedicine | Best Researcher Award

Tianjin University | China

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Early Academic Pursuits 🌱

Prof. Dr. Bin Zheng’s academic journey began with a solid foundation in medical engineering and translational medicine. He further honed his expertise as a postdoctoral fellow at the Caroline School of Medicine, Sweden, laying the groundwork for a prolific career. His early pursuits in biomaterials and nanotechnology provided a strong base for his subsequent innovations and contributions to biomedical sciences.

Professional Endeavors 🏢

As a professor at Tianjin University's Academy of Medical Engineering and Translational Medicine, Dr. Zheng has led numerous research projects, including 10 completed and 6 ongoing endeavors. With over 30 impactful SCI publications, his work has gained recognition on a global scale. His collaborations with leading companies have fostered breakthroughs in cellular manufacturing and delivery technologies, enhancing both academic and industrial applications.

Contributions and Research Focus 🔬

Dr. Zheng’s work spans a wide range of fields, including biomaterials, cancer research, cellular microbiology, immunity, and nanobiotechnology. He has developed innovative therapeutic agents, including a nebulizable anti-bacterial spray targeting exosomes and stem cell extracts. His patents—70 published and 14 in progress—reflect his commitment to bridging the gap between laboratory research and clinical application.

Accolades and Recognition 🏆

Dr. Zheng’s outstanding contributions have earned him numerous awards, such as the Excellent Doctoral Dissertation of Tianjin Municipality and the First Prize for Innovative Achievements from the China Industry-University-Research Cooperation Association. Under his mentorship, graduate students have garnered over 20 prestigious awards, solidifying his role as an influential academic leader.

Impact and Influence 🌍

His research has been clinically translated and widely reported by media outlets like Science and Technology Daily and Science Net. As an editorial board member of prestigious journals, Dr. Zheng also influences the direction of global biomedical research. His international collaborations and contributions to standards like the Belt and Road LSEA 0006-2022 standard underscore his global impact.

Legacy and Future Contributions 🌟

Prof. Dr. Bin Zheng’s legacy lies in his innovative methodologies and translational focus, which continue to inspire the next generation of researchers. With ongoing projects in cutting-edge fields like optogenetics and cellular precision manufacturing, his future contributions are set to redefine the boundaries of medical engineering and translational medicine.

 

Publications

📄 Microorganism microneedle micro-engine depth drug delivery
Author(s): Zheng, B., Li, Q., Fang, L., Cheng, S.-X., Zhang, X.
Journal: Nature Communications
Year: 2024

📄 Near-infrared remote triggering of bio-enzyme activation to control intestinal colonization by orally administered microorganisms
Author(s): Sun, W., Yun, F., Guo, Q., Zheng, B., Ruan, X.
Journal: Acta Biomaterialia
Year: 2024

📄 Surface nanocoating-based universal platform for programmed delivery of microorganisms in complicated digestive tract
Author(s): Du, Y., Guo, H.L., Su, X., Wang, T., Zheng, B.
Journal: Journal of Colloid and Interface Science
Year: 2024

📄 A self-assembling bioactive oligopeptide hydrogel for the treatment of edema following prepuce surgery
Author(s): Liu, J., Pei, Y., Huang, Y., Chen, L., Zhou, Y.
Journal: Journal of Materials Chemistry B
Year: 2024

📄 NIR-Remote Selectively Triggered Buprenorphine Hydrochloride Release from Microneedle Patches for the Treatment of Neuropathic Pain
Author(s): Han, H., Li, B., Yang, R., Bai, Y., Yu, Y.
Journal: ACS Biomaterials Science and Engineering
Year: 2024

 

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

 

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

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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)