Doohyun Park | Computer Science | Best Researcher Award

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Dr. Doohyun Park | Computer Science | Best Researcher Award

VUNO Inc. | South Korea

Author Profile

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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

 

Masashi Hayakawa | Earth and Planetary Sciences | Best Researcher Award

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Prof Dr. Masashi Hayakawa | Earth and Planetary Sciences | Best Researcher Award

Hayakawa Institute of Seismo Electromagnetics, Co. Ltd. | Japan

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Early Academic Pursuits 🎓

Prof. Dr. Masashi Hayakawa’s academic journey began with his studies at Nagoya University, where he earned his B.E. (1966), M.E. (1968), and Doctor of Engineering (1974) degrees. His early work, starting in 1970, focused on atmospheric science as he joined the Research Institute of Atmospherics at Nagoya University. Here, he advanced from Research Associate to Assistant Professor in 1978 and Associate Professor in 1979, contributing significantly to our understanding of global lightning distribution and magnetospheric/ionospheric plasma waves.

Professional Endeavors 🏢

In 1991, Dr. Hayakawa transitioned to The University of Electro-Communications (UEC) in Tokyo, Japan, as a Professor, a position he held until his retirement in 2009. At UEC, he expanded his research into several new areas, including space physics, atmospheric electricity, electromagnetic compatibility (EMC), and seismo-electromagnetics. His work in these fields has been groundbreaking, particularly his studies on Earth’s and planetary magnetospheric plasma waves, global lightning activity, and electromagnetic phenomena associated with earthquakes.

Contributions and Research Focus 🔬

Dr. Hayakawa’s research contributions are extensive, with over 800 papers in refereed journals and approximately 40 books, both as editor and author. His recent focus has been on seismo-electromagnetics, aiming to improve earthquake prediction. He has organized four international workshops on Seismo-electromagnetics in Japan, establishing himself as a leading figure in earthquake predictology. His work also covers signal processing, mobile communications, and inverse problems, reflecting his broad scientific interests.

Accolades and Recognition 🏆

Prof. Hayakawa’s expertise and leadership in the field have been widely recognized. He served as the URSI Commission E Chair from 1996 to 1999 and has been the President of both the Society of Atmospheric Electricity of Japan and the Earthquake Prediction Society of Japan. His editorial roles include Co-Editor of Radio Science, Editor-in-Chief of J. Atmos. Electr., and currently, Editor-in-Chief of Open J. Earthquake Research. These positions highlight his significant contributions to scientific literature and his influence in the field.

Impact and Influence 🌍

Prof. Hayakawa’s impact on atmospheric and space science is profound. His pioneering work on global lightning distribution and space physics has influenced a generation of researchers and expanded the scientific community’s understanding of electromagnetic phenomena. His leadership in seismo-electromagnetics and earthquake prediction has paved the way for advancements in predicting seismic events, which has practical implications for disaster preparedness and mitigation.

Legacy and Future Contributions 🔮

As an Emeritus Professor, Dr. Hayakawa continues to inspire future scientists through his extensive body of work and his ongoing contributions to scientific journals. His legacy is marked by his dedication to advancing knowledge in atmospheric science, space physics, and earthquake prediction. Future contributions from him and his mentees are likely to further enhance our understanding of these critical areas, continuing to build on his remarkable career.

 

Publications

  • 📝 Integrated Analysis of Multi-Parameter Precursors to the Fukushima Offshore Earthquake (Mj = 7.3) on 13 February 2021 and Lithosphere–Atmosphere–Ionosphere Coupling Channels
    Authors: Masashi Hayakawa, Yasuhide Hobara
    Journal: Atmosphere
    Year: 2024
  • 📝 A Numerical Consideration on the Correlation Between Magnitude of Earthquakes and Current Intensity Causing ULF Electromagnetic Wave Emission
    Authors: Ryota Kimura, Yoshiaki Ando, Leo Kukiyama, Tomoya Masuzawa, Katsumi Hattori, Masashi Hayakawa
    Journal: Radio Science
    Year: 2024
  • 📝 Unusual Animal Behavior as a Possible Candidate of Earthquake Prediction
    Authors: Masashi Hayakawa, Hiroyuki Yamauchi
    Journal: Applied Sciences
    Year: 2024
  • 📝 Feasibility of Principal Component Analysis for Multi-Class Earthquake Prediction Machine Learning Model Utilizing Geomagnetic Field Data
    Authors: Kasyful Qaedi, Mardina Abdullah, Khairul Adib Yusof, Masashi Hayakawa
    Journal: Geosciences
    Year: 2024
  • 📝 Thermal Anomalies Observed during the Crete Earthquake on 27 September 2021
    Authors: Soujan Ghosh, Sudipta Sasmal, Sovan K. Maity, Stelios M. Potirakis, Masashi Hayakawa
    Journal: Geosciences
    Year: 2024

 

Minoo Eghtesadi | Engineering | Best Researcher Award

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Mrs. Minoo Eghtesadi | Engineering | Best Researcher Award

University of Catania | Italy

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Early Academic Pursuits 🎓

Mrs. Minoo Eghtesadi's journey in the field of electronics began with a Bachelor of Science in Electronic Engineering from Khajeh Nasir Toosi University of Technology, Tehran, where she ranked among the top undergraduate students. She further honed her expertise by pursuing a Master of Science in Electronic Engineering at Iran University of Science and Technology (IUST), where she excelled academically, ranking third among her peers.

Professional Endeavors 💼

Mrs. Eghtesadi has accumulated valuable professional experience in the field of electronics. She worked as an Electronic Engineer at MDF Group in Tehran, where she was involved in various roles, including content creation for social networks, web design, social network management, and marketing content development. Her experience also extended to import and export operations, showcasing her versatility in both technical and managerial capacities.

Contributions and Research Focus 🔬

Mrs. Eghtesadi’s research primarily focuses on Analog and RFIC (Radio Frequency Integrated Circuit) Design, with a particular interest in mm-wave IC Design. Her Ph.D. research at the University of Pavia & University of Catania revolves around the design, fabrication, and characterization of 28-nm CMOS ICs for ultra-low-power 60-GHz receivers, aimed at high bit-rate communication applications. Her earlier research includes designing a concurrent dual-frequency Low Noise Amplifier (LNA) for GPS/GLONASS receivers, as well as developing an RFID Reader with an impressive range exceeding 100 meters.

Accolades and Recognition 🏆

Throughout her academic and professional career, Mrs. Eghtesadi has received several prestigious accolades. Most notably, she was awarded the Gold Leaf Award for her paper titled “A 28-nm CMOS 60-GHz LNA for OOK Low Power Receivers” at the 19th International Conference on PhD Research in Microelectronics and Electronics (PRIME2024) held in Cyprus. This recognition underscores her significant contributions to the field of microelectronics.

Impact and Influence 🌍

Mrs. Eghtesadi’s research and professional activities have had a profound impact on the field of electronics, particularly in the areas of RFIC design and mm-wave technology. Her work on low-noise amplifiers and RFIC design for high-frequency applications is paving the way for advancements in communication technology, influencing both academic research and industry practices.

Legacy and Future Contributions 🔮

As Mrs. Eghtesadi continues her Ph.D. research, she is poised to make further contributions to the field of micro and nano-electronics. Her future work will likely explore new frontiers in RFIC design, potentially leading to innovations in wireless communication technologies. With her strong academic background, professional experience, and research expertise, Mrs. Eghtesadi is well-positioned to leave a lasting legacy in the world of electronics.

 

Publications 📚

📜A Pseudo-Differential LNA with Noise Improvement Techniques for Concurrent Multi-Band GNSS Applications
Author(s): M. Eghtesadi, M.R. Mosavi, E. Ragonese
Journal: Electronics (Switzerland)
Year: 2024

📜A 28-nm CMOS 60-GHz LNA for OOK Low-Power Receivers
Author(s): M. Eghtesadi, G. Giustolisi, S. Pennisi, E. Ragonese
Conference: 2024 19th Conference on Ph.D Research in Microelectronics and Electronics (PRIME 2024)
Year: 2024

📜A Concurrent Dual-Band Low Noise Amplifier for GNSS Receivers
Author(s): M. Safari, M. Eghtesadi, M.R. Mosavi
Journal: Iranian Journal of Electrical and Electronic Engineering
Year: 2016

 

Jiawen Xu | Engineering | Best Researcher Award

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Assoc Prof Dr. Jiawen Xu | Engineering | Best Researcher Award

Southeast University | China

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Early Academic Pursuits 📚

Dr. Jiawen Xu's academic journey began with his undergraduate studies at the University of Science and Technology of China, where he pursued a Bachelor’s degree in Precision Machinery and Precision Instrumentation from 2005 to 2009. His interest in advanced engineering led him to continue his studies at the same institution for his Master’s degree, focusing on the same field under the guidance of Professor Zhihua Feng. Dr. Xu's pursuit of higher knowledge took him to the University of Connecticut, Storrs, where he completed his Ph.D. in Mechanical Engineering in 2017, working under Professor Tang Jiong. His early academic pursuits laid a strong foundation for his research in mechanical piezoelectric metamaterials and structural health monitoring.

Professional Endeavors 🛠️

Since 2018, Dr. Xu has served as an Associate Professor at the School of Instrument Science and Engineering, Southeast University, Nanjing, China. His professional career is distinguished by his involvement in cutting-edge research and development projects. Dr. Xu has led several key projects funded by national and provincial programs, including research on piezoelectric metamaterials and energy harvesting systems. His role in these projects underscores his expertise in vibration energy harvesting, structural health monitoring, and mechanical metamaterials.

Contributions and Research Focus 🔬

Dr. Xu's research is characterized by his innovative work in mechanical piezoelectric metamaterials and structural health monitoring. His contributions include:

  • Mechanical Piezoelectric Metamaterials: Dr. Xu has developed signal processing methods for studying these materials, designed vibration modes, and explored vibration suspension using differential piezoelectric metamaterials.
  • Piezoelectric Impedance Structural Health Monitoring: His research involves advanced techniques such as tunable inductance enhanced 1D-CNN, deep learning/transformer-based monitoring, and temperature decoupling using piezoelectric impedance.
  • Gravity Wave Detection: Dr. Xu has worked on structural dynamics analysis and key technologies for mechanical differential measurement, utilizing deep learning for signal processing and denoising.
  • Piezoelectric Vibration Energy Harvesting: His work includes broadband energy harvesting, multi-directional harvesting by cantilever-pendulum systems, and enhancing power output density through strain smoothing effects.

Accolades and Recognition 🏅

Dr. Xu has been recognized for his contributions to the field of mechanical engineering through various prestigious awards and roles. He is a Fellow of the Jiangsu Instrumental Society and serves as the Deputy Director of the Youth Committee of the Jiangsu Instrumental Society. Additionally, he is an expert reviewer for several high-impact journals, including the IEEE Transactions on Industrial Electronics and the Journal of Applied Physics. His extensive publication record in leading journals further attests to his significant impact in the field.

Impact and Influence 🌟

Dr. Xu's research has had a profound impact on the fields of mechanical metamaterials and energy harvesting. His work on piezoelectric metamaterials and structural health monitoring has advanced the understanding and application of these technologies in various engineering contexts. His innovative approaches to energy harvesting and structural analysis have contributed to advancements in sustainable and efficient engineering solutions. Dr. Xu’s role as a reviewer and expert in several scientific communities highlights his influence in shaping the future of mechanical engineering research.

Legacy and Future Contributions 🔮

Dr. Xu’s ongoing research and leadership in the field of mechanical engineering continue to shape future advancements. His projects, such as those related to piezoelectric metamaterials and gravity wave detection, promise to push the boundaries of current technology and engineering practices. As he continues to explore new methodologies and applications, Dr. Xu is poised to leave a lasting legacy in the field, influencing both academic research and practical engineering solutions. His dedication to innovative research and his active role in professional societies ensure that his contributions will have a lasting impact on the engineering community.

 

Publications 📚

  • 📄 Modeling and Experimental Study of Vibration Energy Harvester with Triple-Frequency-Up Voltage Output by Vibration Mode Switching
    Authors: Jiawen Xu, Zhikang Liu, Wenxing Dai, Ru Zhang, Jianjun Ge
    Journal: Micromachines
    Year: 2024
  • 📄 Graded metamaterial with broadband active controllability for low-frequency vibration suppression
    Authors: Jian, Y., Hu, G., Tang, L., Huang, D., Aw, K.
    Journal: Journal of Applied Physics
    Year: 2024
  • 📄 Robustness analysis and prediction of topological edge states in topological elastic waveguides
    Authors: Tong, S., Sun, W., Xu, J., Li, H.
    Journal: Physica Scripta
    Year: 2024
  • 📄 Deep residual shrinkage network with multichannel VMD inputs for noise reduction of micro-thrust measurement
    Authors: Liu, Z., Chen, X., Xu, J., Zhao, L.
    Journal: AIP Advances
    Year: 2024
  • 📄 LiteFormer: A Lightweight and Efficient Transformer for Rotating Machine Fault Diagnosis
    Authors: Sun, W., Yan, R., Jin, R., Yang, Y., Chen, Z.
    Journal: IEEE Transactions on Reliability
    Year: 2024

 

Soopil Kim | Computer Science | Best Researcher Award

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Dr. Soopil Kim | Computer Science | Best Researcher Award

Daegu Gyeongbuk Institute of Science and Technology | South Korea

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Early Academic Pursuits 🎓

Dr. Soopil Kim's academic journey began with a Bachelor of Engineering in Robotics and Mechatronics Engineering from Daegu Gyeongbuk Institute of Science & Technology (DGIST), where he graduated Cum Laude. He continued his studies at DGIST, pursuing a Master’s and Ph.D. in the same field, focusing on medical image segmentation. His research during these years emphasized label-efficient segmentation models and limited pixel-level annotation, laying a strong foundation for his future work in deep learning and computer vision.

Professional Endeavors 💼

Dr. Kim's career has seen significant milestones, including a role as a Visiting Student at Stanford University's CNSLAB under the supervision of Prof. Kilian M. Pohl and Ehsan Adeli. Currently, he is a Post-Doctoral Research Fellow at the Medical Image & Signal Processing Lab (MISPL) at DGIST, where he works under Prof. Sang Hyun Park. His professional trajectory reflects a commitment to advancing the field of computer vision through innovative research and collaboration.

Contributions and Research Focus 🔬

Dr. Kim’s research is at the forefront of deep learning and computer vision. His work addresses the challenges of image segmentation with partially labeled datasets by developing federated learning strategies and few-shot segmentation techniques. His notable contributions include the creation of a medical image segmentation model that integrates meta-learning and bi-directional recurrent neural networks, a semi-supervised segmentation model based on uncertainty estimation, and a transductive segmentation model for industrial imaging. These advancements aim to improve the efficiency and accuracy of image segmentation processes.

Accolades and Recognition 🏆

Dr. Kim has received several awards that highlight his exceptional contributions to the field. Notably, he was ranked 3rd among 40 teams in the SNUH Sleep AI Challenge in 2021 and was honored with the Outstanding Student Award from the Department of Robotics and Mechatronics Engineering at DGIST in 2022. In 2024, he was recognized at the KCCV Oral/Poster Presentation Doctoral Colloquium for his work on label-efficient segmentation models.

Impact and Influence 🌍

Dr. Kim's research has made a significant impact on the field of computer vision, particularly in the area of image segmentation. His innovative approaches to handling partially labeled datasets and federated learning have the potential to advance both academic research and practical applications in medical imaging and beyond. His work on few-shot learning and uncertainty-aware models addresses critical challenges in the field, contributing to more robust and adaptable segmentation solutions.

Legacy and Future Contributions 🚀

As Dr. Kim continues his research, his focus on improving segmentation models and developing new methodologies promises to shape the future of computer vision. His commitment to exploring federated learning and few-shot learning techniques will likely drive further innovations in the field, offering solutions to complex challenges and enhancing the accuracy of image analysis across various applications.

 

Publications 📘

📄Few-shot anomaly detection using positive unlabeled learning with cycle consistency and co-occurrence features
Authors: Sion An, Soopil Kim, Philip Chikontwe, Jiwook Jung, Hyejeong Jeon, Jaehong Kim, Sang Hyun Park
Journal: Expert Systems with Applications
Year: 2024

📄Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets
Authors: Soopil Kim, Haejun Park, Myeongju Kang, Kilian M. Pohl, Sang Hyun Park
Journal: Medical Image Analysis
Year: 2024

📄FedNN: Federated learning on concept drift data using weight and adaptive group normalizations
Authors: Myeongju Kang, Soopil Kim, Kwang-Hyun Jin, Kilian M. Pohl, Sang Hyun Park
Journal: Pattern Recognition
Year: 2024

📄Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
Authors: Soopil Kim, Sion An, Philip Chikontwe, Kilian M. Pohl, Sang Hyun Park
Conference: Proceedings of the AAAI Conference on Artificial Intelligence
Year: 2024

📄Uncertainty-aware semi-supervised few shot segmentation
Authors: Soopil Kim, Philip Chikontwe, Sion An, Sang Hyun Park
Journal: Pattern Recognition
Year: 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)

 

 

 

Mullangi Vinod kumar | Engineering | Best Researcher Award

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Mr. Mullangi Vinod kumar | Engineering | Best Researcher Award

Sri Vasavi Engineering College | India

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Early Academic Pursuits

Mr. Mullangi Vinod Kumar's academic journey is marked by a consistent pursuit of excellence in engineering. He began his education at Narayana E.M High School, where he achieved a notable 76.5% in his 10th-grade examinations. He continued his studies at Narayana Junior College, securing an impressive 92.7% in his Intermediate Board exams. This strong foundation in science and mathematics paved the way for his higher education in engineering. Mr. Kumar pursued his undergraduate studies in engineering at SASI Engineering College, affiliated with J.T.U.K Kakinada, and graduated in 2015 with a commendable 70%. He further advanced his education by obtaining a postgraduate degree from S.R.K.R Engineering College, Andhra University, in 2018, achieving a GPA of 7.65. Currently, he is pursuing his Ph.D. at Panjab University, C.C.E.T-degree wings, showcasing his ongoing commitment to academic growth and specialization.

Professional Endeavors

Mr. Kumar's professional career began as an Assistant Professor at VISIT Engineering College, where he worked from December 2018 to May 2019. He then joined Sri Vasavi Engineering College as an Assistant Professor on June 1, 2019, and continues to contribute to the institution. His roles in these academic institutions involve teaching, mentoring, and guiding undergraduate students, particularly in the field of microstrip patch antennas and other advanced engineering topics.

Contributions and Research Focus

Mr. Kumar has made significant contributions to the field of electrical and electronics engineering, particularly in the design and analysis of microstrip antennas. His M.Tech project focused on "Design and Analysis of Printed Microstrip Antennas for UWB (Ultra Wide Band) Application," reflecting his deep interest and expertise in antenna technology. He has published several research papers in reputed journals, including seven papers in Scopus-indexed international journals and one paper in an SCI journal. His notable publications include research on metasurface antennas for energy harvesting applications, comparative analyses of feeding techniques in antennas, and the design of fractal monopole and ultra-wideband antennas. These publications demonstrate his dedication to advancing the field of antenna design and his ability to contribute novel insights to the academic community.

Accolades and Recognition

Mr. Kumar's academic and research efforts have been recognized through various achievements. He qualified in the GATE 2016, a testament to his proficiency in engineering fundamentals. He has also participated in Faculty Development Programs (FDP) conducted by SASI, further enhancing his teaching and research skills. His publications in esteemed journals and conference proceedings highlight his recognition within the academic and research community.

Impact and Influence

Mr. Kumar's research on microstrip patch antennas and other advanced antenna designs has had a significant impact on the field of electrical and electronics engineering. His work on enhancing antenna performance for energy harvesting and ultra-wideband applications has practical implications for the development of advanced communication systems. Additionally, his role as an educator has influenced many students, guiding them in their academic and research pursuits.

Legacy and Future Contributions

Mr. Kumar's ongoing research and academic endeavors are expected to leave a lasting legacy in the field of antenna design and engineering education. His contributions to the development of advanced antenna technologies will continue to influence future research and innovation. As he progresses in his Ph.D. studies and beyond, Mr. Kumar is poised to make further significant contributions to the field, potentially leading to new advancements in communication technology and other related areas. His commitment to education and research ensures that he will remain a valuable asset to the academic and engineering communities for years to come.

 

Notable Publications

Enhancement of Gain and Reduction of Backward Radiation Using Metasurface Antenna for Energy Harvesting Applications 2022
Design and Analysis of 2 × 4 Array Antenna With Single Slot For UWB Applications 2020

Microstrip Line Fed Fractal Monopole Antenna with Defected Ground Structure 2018 (3)

Comparative Analysis of Edge Feeding and coaxial Feeding Technique with Fixed Frequency 2018 (1)

Stair Plus Rectangular Patch CPW Feeding Antenna with Ultra Wide Band 2018 (1)

 

 

Soham Ghosh | Engineering | Best Researcher Award

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Mr. Soham Ghosh | Engineering | Best Researcher Award

Jadavpur University | India

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Early Academic Pursuits

Mr. Soham Ghosh began his academic journey with a strong foundation in electronics and communication. He completed his secondary education from the West Bengal Board of Secondary Education (WBBSE) in 2013 with a commendable score of 89.28%. His higher secondary education was pursued under the West Bengal Council of Higher Secondary Education (WBCHSE), where he achieved an impressive 92.8% in 2015. Mr. Ghosh then earned his Bachelor of Technology in Electronics and Communication from Maulana Abul Kalam Azad University of Technology (formerly WBUT) in 2019, graduating with a CGPA of 9.37 out of 10. His academic excellence continued as he pursued a Master of Electronics and Telecommunication Engineering at Jadavpur University, where he achieved a CGPA of 9.89 out of 10 in 2022. Currently, he is a Doctor of Philosophy (Engineering) candidate at Jadavpur University, demonstrating his ongoing commitment to advancing his knowledge and expertise in the field.

Professional Endeavors

Mr. Soham Ghosh has built a notable career in the field of electronics and communication engineering, with a particular focus on antenna design. He has delved into specialized areas such as microstrip antenna design, implantable and wearable antennas, and the development of phantom liquids. His professional appointments and research activities are marked by his association with Jadavpur University, where he is currently pursuing his PhD. His work in antenna design has led to several high-impact publications and presentations at international conferences.

Contributions and Research Focus

Mr. Ghosh’s research primarily focuses on advanced antenna design and wireless communication. His areas of interest include:

* Microstrip Antenna Design

* Implantable and Wearable Antennas

* Phantom Liquid Development

* Artificial Neural Networks

* Wireless Communication

* Terahertz Antenna Design

He has made significant contributions through his research, such as the development of meander-lined implantable antennas for medical applications and the analysis of muscle-implanted antenna performance. His research on dual-band slot-loaded hexagonal patch antennas and semi-circular ring slotted circular patch antennas has implications for 5G technology, showcasing his ability to address contemporary challenges in wireless communication.

Accolades and Recognition

Mr. Ghosh’s dedication and expertise have been recognized through his numerous publications in peer-reviewed journals and his presentations at international conferences. His notable publications include:

* “Meander-Lined Implantable Antenna Design at 2.45 GHz Using Transmission Line Model” in the IETE Journal of Research.

* “Analysis of Muscle Implanted Antenna Performance with the Variation of Implantation Depth” in Frequenz.

* Contributions to IEEE conferences on dual-band and semi-circular ring slotted antennas for 5G applications.

  • These publications highlight his role in advancing the field of antenna design and his ability to contribute to cutting-edge research.

Impact and Influence

Mr. Ghosh’s research has had a substantial impact on the field of electronics and communication engineering. His work on implantable and wearable antennas is particularly influential, offering advancements in medical technology and wireless communication. His research findings are frequently cited, demonstrating the relevance and importance of his work in academic and professional circles. Moreover, his involvement in the development of phantom liquids and terahertz antennas showcases his versatility and broad influence in various subfields of electronics engineering.

Legacy and Future Contributions

As Mr. Ghosh continues his PhD at Jadavpur University, his ongoing research is expected to yield further innovations in antenna design and wireless communication. His legacy will likely be defined by his contributions to the development of advanced antenna technologies and their applications in both medical and communication fields. His work sets a foundation for future researchers and engineers to build upon, ensuring that his influence will persist in the academic and professional communities.

 

Notable Publications

Meander-Lined Implantable Antenna Design at 2.45 GHz Using Transmission Line Model 2024

Analysis of muscle implanted antenna performance with the variation of implantation depth 2024

Dual Band Slot loaded Hexagonal Patch Antenna for 5G Applications 2024

Semi- Circular Ring slotted Circular Patch Antenna for 5G Applications 2023

Design and Performance Analysis of Defected Grounded Hexagonal Patch Antenna at 5.17 GHz 2023

 

 

 

 

 

 

Saida Bedoui | Engineering | Best Researcher Award

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Dr. Saida Bedoui | Engineering | Best Researcher Award

Gabes University | Tunisia

Author Profile

Scopus

Orcid

Early Academic Pursuits

Dr. Saida Bedoui’s academic journey is marked by an exceptional pursuit of knowledge and excellence in electrical engineering and related fields. She began her educational journey at Lycée République in Gabès, Tunisia, where she earned her Bachelor of Mathematics in June 2003. Following this, she attended the Higher Institute of Applied Sciences and Technology of Gabes, where she completed her preparatory classes for the National Engineering School with a focus on Physics and Mathematics in July 2005, securing admission to the engineering school. Her higher education was pursued at the National Engineering School of Gabes, where she obtained her degree in Electric-Automatic Engineering in July 2008, graduating with a “Very Good” rating. She further specialized by obtaining a Master's in Automatic and Intelligent Techniques in June 2009, also with a “Very Good” rating. Dr. Bedoui then achieved her PhD in Electrical Engineering in March 2013 with the highest honors, and later completed her Habilitation Thesis in Electrical Engineering at Gabes University in February 2023.

Professional Endeavors

Dr. Bedoui’s professional career spans several prestigious roles in academia. She started as a contractual lecturer at the National Engineering School of Gabes from 2008 to 2012. She then served as a lecturer at the Higher Institute of Applied Sciences and Technology of Gafsa from 2012 to 2013. Since September 2013, she has been an Assistant Professor at the Higher Institute of Industrial Systems of Gabes, where she has been involved in teaching a variety of subjects, including Automatic, Electronics, and Industrial Computing, at all levels of higher education.

Contributions and Research Focus

Dr. Bedoui’s research interests primarily focus on the identification and control of time-delay systems. Her PhD thesis contributed significantly to this field by proposing methods to identify time-delay systems, addressing the simultaneous identification of time delay and dynamic parameters of both mono-variable and multi-variable time-delay systems. Her work includes the development of new approaches for generating libraries of local models for nonlinear time-delay systems. Her contributions extend to supervising numerous graduate projects and theses. She has guided students in projects ranging from the design and implementation of road junction prototypes to the modernization of control systems for industrial applications.

Accolades and Recognition

Dr. Bedoui has been recognized for her work with various scholarships and research stays at esteemed institutions. Notably, she received a CSC scholarship for a research stay at Jiangnan University, PR China, in 2023. She has also undertaken research stays at the Laboratory of Engineering Systems in Caen, France, and the Research Center for Automatic Control of Nancy, France.

Impact and Influence

Dr. Bedoui has played a pivotal role in several significant projects and associations. She served as the project manager for the initiative "Strengthening the Capacity of the 4C Center in Training and Support for Students and Young Graduates of ISSI-Gabes" from January 2020 to February 2022. Additionally, she has been the Director of the Career Center and Skills Certification and has been actively involved with the Tunisian Association of Automatic and Digitizing in various capacities since 2010.

Legacy and Future Contributions

Dr. Bedoui’s legacy is characterized by her dedication to advancing the field of electrical engineering through both education and research. Her extensive teaching experience, coupled with her innovative research, has made significant contributions to the academic community. Her work continues to influence the development of automatic and intelligent systems.

 

Notable Publications

Iterative parameter identification for Hammerstein systems with ARMA noises by using the filtering identification idea 2024

On the combined estimation of the parameters and the states of fractional-order systems 2023 (2)

Diagnosis and fault tolerant control against actuator fault for a class of hybrid Dynamic systems 2023 (3)

Convergence Analysis of Forgetting Factor Least Squares Algorithm for ARMAX Time-Delay Models 2022 (1)

Parameter and State Estimation of Nonlinear Fractional-Order Model Using Luenberger Observer 2022 (6)

 

 

 

Rudresh Dwivedi | Computer Science | Best Researcher Award

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Assist Prof Dr. Rudresh Dwivedi | Computer Science | Best Researcher Award

Netaji Subhas University of Technology | India

Author Profile

Scopus

Orcid

Early Academic Pursuits

Dr. Rudresh Dwivedi's academic journey began with a Bachelor of Technology in Computer Science & Engineering from ICFAI University, Dehradun, India. He graduated in 2010 with a CGPA of 6.63/10. He then pursued a Master of Technology in Electrical Engineering from the National Institute of Technology (NIT), Raipur, India, graduating in 2013 with a CGPA of 8.63/10. His thesis, supervised by Dr. Narendra D. Londhe, focused on the classification of EEG-based multiclass motor imagery movements. Dr. Dwivedi furthered his academic career with a Ph.D. in Computer Science and Engineering from the Indian Institute of Technology (IIT), Indore, India, completing his doctoral studies in 2019 under the supervision of Dr. Somnath Dey. His Ph.D. thesis titled "Unimodal and Multimodal Biometric Verification Using Cancelable Iris and Fingerprint Templates" earned him a CGPA of 9.25/10.

Professional Endeavors

Dr. Dwivedi's professional career is marked by a blend of academic and industry experiences. His career commenced as a Software Engineer at Mars Web Solution, Bangalore, India, from August 2010 to March 2011. Transitioning to academia, he served as an Assistant Professor at NMIMS University, Maharashtra, India, in 2013. Following this, he was a Research Assistant at IIT Indore for a SERB-DST project focused on efficient cancelable template generation methods for fingerprint and iris biometrics. He then joined Pandit Deendayal Petroleum University (PDPU), Gandhinagar, Gujarat, India, as an Assistant Professor from July 2019 to August 2021. Currently, Dr. Dwivedi is an Assistant Professor in the Computer Science & Engineering Department at Netaji Subhas University of Technology, Dwarka, Delhi, India.

Contributions and Research Focus

Dr. Dwivedi has made significant contributions to the fields of biometrics, machine learning, and computer vision. His research has primarily focused on developing novel approaches for cancelable iris and fingerprint template generation, rotation-invariant iris code generation, and privacy-preserving biometric systems. He has also explored score-level and hybrid fusion schemes for protected multimodal biometric verification and secure communication systems using fingerprint-based cryptographic techniques. Additionally, his work on BCI (Brain-Computer Interface) systems has advanced the classification of EEG signals and the development of motor imagery-based systems.

Accolades and Recognition

Throughout his career, Dr. Dwivedi has received numerous awards and recognitions. These include the Third Prize at the Fifth IDRBT Doctoral Colloquium in 2015, the MHRD TA Fellowship for his Ph.D. studies, a Summer Research Fellowship at IIT Delhi in 2012, and a high percentile in the GATE 2011 exam, which secured him an MHRD TA Fellowship for his M.Tech. studies. He has also been awarded the State Meritorious Student Award and the National Talent Search Examination Scholarship during his early academic years.

Impact and Influence

Dr. Dwivedi's research has had a substantial impact on the field of biometric security, particularly in developing methods for protecting biometric templates. His work on cancelable biometrics and secure communication systems has contributed to enhancing privacy and security in biometric applications. His publications in esteemed journals and conferences have garnered attention and citations, reflecting his influence in the academic community.

Legacy and Future Contributions

Dr. Dwivedi's legacy is marked by his innovative contributions to biometric security and machine learning. His ongoing research continues to push the boundaries of these fields, promising further advancements in secure biometric systems and AI-based solutions. As a dedicated educator and researcher, Dr. Dwivedi's future contributions are anticipated to significantly impact both academia and industry, fostering the development of more secure and efficient biometric technologies.

 

Notable Publications

An efficient ensemble explainable AI (XAI) approach for morphed face detection 2024

Explainable AI (XAI): Core Ideas, Techniques and Solutions 2022 (161)

A Leaf Disease Detection Mechanism Based on L1-Norm Minimization Extreme Learning Machine 2021 (10)

A fingerprint based crypto-biometric system for secure communication 2019 (20)

Score-level fusion for cancelable multi-biometric verification 2019 (25)