Doohyun Park | Computer Science | Best Researcher Award

Posted on 21/09/202421/09/2024 by Book of Award

Dr. Doohyun Park | Computer Science | Best Researcher Award

VUNO Inc. | South Korea

Author Profile

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

Ruoxi Wang | Agricultural and Biological Sciences |Best Researcher Award

Posted on 06/09/202406/09/2024 by Book of Award

Ms. Ruoxi Wang | Agricultural and Biological Sciences |Best Researcher Award

Kunming University of Science and Technology | China

Author profile

Scopus

Early Academic Pursuits 📚

Ms. Ruoxi Wang embarked on her academic journey with a keen interest in the intersection of technology and agriculture. Currently pursuing a master's degree at the College of Modern Agricultural Engineering, Kunming University of Science and Technology, her studies focus on agricultural informatization. With a foundation in agricultural engineering, she quickly identified the potential of digital tools to transform agricultural practices, particularly in the areas of computer vision and image processing.

Professional Endeavors 🚀

Ruoxi has developed expertise in cutting-edge technologies such as image classification and segmentation, applying them to real-world agricultural challenges. Her research explores innovative methods for enhancing agricultural systems through advanced computing, aiming to boost productivity and efficiency in agricultural practices. As a scholar, she has been at the forefront of integrating digital solutions into the agricultural sector, reflecting her commitment to the future of smart farming.

Contributions and Research Focus 🖥️🌾

Ruoxi's research has already borne fruit, with two significant publications as the first author: one in the prestigious journal Agronomy and another presented at the 12th International Conference on Information Systems and Computing Technology. Her work centers around harnessing the power of computer vision and image processing to optimize agricultural operations, positioning her as a rising voice in the realm of agricultural informatization. Through her contributions, she seeks to bridge the gap between technology and sustainable agriculture.

Accolades and Recognition 🏅

Despite being early in her academic career, Ruoxi's contributions have already been acknowledged through her peer-reviewed publications. The recognition she has garnered within the research community highlights her potential to influence the field of agricultural informatization. Her achievements reflect both her dedication and the growing importance of her research focus.

Impact and Influence 🌍

Ms. Wang’s innovative work is paving the way for more efficient agricultural practices globally. By utilizing computer vision and image processing techniques, she is helping to streamline processes such as crop monitoring and analysis. Her research not only has academic value but also holds immense practical implications, positioning her as a future leader in agricultural technology.

Legacy and Future Contributions 🌟

Looking ahead, Ruoxi is poised to make even more impactful contributions to agricultural engineering and technology. Her ongoing research promises to push the boundaries of agricultural informatization, and her dedication to advancing the field will undoubtedly leave a lasting legacy. As she continues to explore and innovate, her work will shape the future of smart farming, potentially revolutionizing how technology is integrated into agricultural practices worldwide.

Publications

📄Deep learning implementation of image segmentation in agricultural applications: a comprehensive review
Authors: Lei, L., Yang, Q., Yang, L., Wang, R., Fu, C.
Journal: Artificial Intelligence Review
Year: 2024

📄Improved Deeplabv3+ Method for the Panax Notoginseng Disease Segmentation
Authors: Lei, L., Wang, Z., Wang, R., Yang, Q., Yang, L.
Conference: Proceedings of the 2023 11th International Conference on Information Systems and Computing Technology (ISCTech 2023)
Year: 2023

Furkan Aydin | Engineering | Best Researcher Award

Posted on 09/08/202409/08/2024 by Book of Award

Mr. Furkan Aydin | Engineering | Best Researcher Award

Polytechnic of Milan | Italy

Author profile

Orcid

🎓 Early Academic Pursuits

Furkan Aydin’s academic journey began with a strong foundation in civil engineering. He completed his BSc in Civil Engineering from Anadolu University, Eskişehir, Turkey, where he was part of an English education program. His academic excellence was further enriched by an Erasmus+ exchange program at Halmstad University, Sweden. Furkan later pursued an MSc in Civil Engineering for Risk Mitigation at Politecnico di Milano, Italy. His master's thesis focused on a method to process eye-tracker data with image processing algorithms for driver behavior analysis, showcasing his ability to merge traditional engineering with modern technological approaches.

🛠️ Professional Endeavors

Furkan Aydin’s professional career is marked by diverse roles in civil engineering and risk management. His journey started with internships at Yörük Yapı in Istanbul and Gülermak Heavy Industries Construction & Contracting Co. in Warsaw, where he gained hands-on experience in civil engineering. He later transitioned to a Site Civil Engineer role at Yörük Yapı and subsequently worked as a Technical Office Engineer, responsible for tendering and procurement for significant projects like the Annapol Tramline Depot in Warsaw. Currently, Furkan is a Reinsurance Associate Specialist at Anadolu Sigorta in Istanbul, reflecting his versatility in both engineering and financial risk management.

📚 Contributions and Research Focus

Furkan has made notable contributions in the field of civil engineering, particularly in risk management and driver behavior analysis. His research interests are broad, encompassing geospatial data processing, structural assessment, fire and blast safety, and transport management in emergency planning. His work has been recognized in academic publications, including a paper on analyzing driver visual behavior using eye-tracker data, published in Applied Sciences.

🏆 Accolades and Recognition

Furkan’s academic and professional excellence has been recognized through various certifications and accolades. He has earned certifications in Python programming, data science, and MATLAB, among others. His proficiency in civil engineering tools like AutoCAD, STA4CAD, and SAP2000, coupled with his language skills in English, Italian, and Turkish, positions him as a well-rounded professional in his field.

🌍 Impact and Influence

Furkan Aydin’s work in risk management and civil engineering has had a significant impact on the projects he has been involved in, particularly in the context of infrastructure development and emergency planning. His research on driver behavior analysis using cutting-edge technology contributes to the broader understanding of traffic safety and urban planning.

🌟 Legacy and Future Contributions

As Furkan continues his career, his legacy is likely to be defined by his innovative approach to integrating technology with traditional civil engineering practices. His future contributions will likely focus on advancing the fields of risk management, infrastructure development, and urban planning, making him a pivotal figure in shaping the future of civil engineering.

Publications 📚

📄 An Image Processing-Based Method to Analyze Driver Visual Behavior Using Eye-Tracker Data
Authors: Furkan Aydin, Giandomenico Caruso, Lorenzo Mussone
Journal: Applied Sciences
Year: 2024

Kalyanapu Srinivas | Computer Science | Best Researcher Award

Posted on 07/08/202407/08/2024 by Book of Award

Dr. Kalyanapu Srinivas | Computer Science | Best Researcher Award

Vaagdevi Engineering College | India

Author Profile

Scopus

Orcid

Early Academic Pursuits 🎓

Dr. Kalyanapu Srinivas embarked on his academic journey with a Bachelor of Technology (B.Tech) in Computer Science Engineering from Vidya Bharathi Institute of Technology, graduating in 2006 with First Division honors. He continued to advance his studies with a Master of Technology (M.Tech) in Software Engineering from Ramappa Engineering College in 2010, where he achieved Distinction with a 78.2% score. Further solidifying his academic prowess, Dr. Srinivas completed his Ph.D. in Cryptography & Network Security at JNTU, Hyderabad in 2020.

Professional Endeavors 💼

Dr. Srinivas has accumulated over 16 years of experience in academia. His professional journey includes roles such as Assistant Professor at various institutions, including Vaagdevi Engineering College, Kakatiya Institute of Technology and Science, and SR Engineering College. His tenure in these roles highlights his commitment to advancing the field of computer science and engineering. Notably, he has been involved in teaching, research, and academic administration.

Contributions and Research Focus 🔬

Dr. Srinivas’s research primarily focuses on Cryptography and Network Security, with a keen interest in Data Mining, Cloud Computing, and Quantum Computing. His Ph.D. thesis, titled "Novel Techniques for Image-Based Key Generation using Chinese Remainder Theorem and Chaotic Logistic Maps," reflects his innovative approach to enhancing security protocols. Additionally, his ongoing research guidance includes supervising several Ph.D. students in areas such as Wireless Networks and Cloud Computing.

Accolades and Recognition 🏆

Dr. Srinivas has earned significant recognition throughout his career. His work in machine learning and cryptography has led to the publication of a patent on Alzheimer's prediction using machine learning. He has also been honored as a session chair at the International Conference on Research in Science, Engineering, Technology, and Management (ICRSETM2020) and served as a guest speaker at SAFER INTERNET DAY 2023. His expertise has been acknowledged through editorial and review roles for various conferences and journals.

Impact and Influence 🌍

Dr. Srinivas’s contributions extend beyond his research. His involvement in organizing and participating in short-term training programs (STTP) on IoT simulation and fog computing showcases his dedication to fostering knowledge and innovation in emerging technologies. His role as a primary evaluator for TOYCATHON 2021 further emphasizes his influence in shaping the future of technology education and development.

Legacy and Future Contributions 🚀

Looking ahead, Dr. Srinivas is poised to continue making impactful contributions to the fields of cryptography and network security. His research initiatives and academic leadership are expected to drive advancements in secure computing and innovative technologies. As he mentors the next generation of researchers and contributes to cutting-edge research, his legacy in the academic and professional realms will undoubtedly endure, inspiring future advancements in technology and education.

Publications 📚

Article: Underground Water Level Prediction in Remote Sensing Images Using Improved Hydro Index Value with Ensemble Classifier
Authors: Stateczny, A., Narahari, S.C., Vurubindi, P., Guptha, N.S., Srinivas, K.
Journal: Remote Sensing
Year: 2023

Article: User-segregation based channel estimation in the MIMO system
Authors: Patra, R.K., Kumar, M.H., Srinivas, K., Sekhar, P.C., Subhashini, S.J.
Journal: Physical Communication
Year: 2023

Book Chapter: An Enhancement in Crypto Key Generation Using Image Features with CRT
Authors: Srinivas, K., Kumar, N.S., Sanathkumar, T., Rama Devi, K.
Book: Cognitive Science and Technology
Year: 2023

Article: Plant disease classification using deep bilinear CNN
Authors: Rao, D.S., Ramesh Babu, C., Kiran, V.S., Mohan, G.S., Bharadwaj, B.L.
Journal: Intelligent Automation and Soft Computing
Year: 2022

Article: Symmetric key generation algorithm using image-based chaos logistic maps
Authors: Srinivas, K., Janaki, V.
Journal: International Journal of Advanced Intelligence Paradigms 🧠
Year: 2021

Sasank V.V.S | Computer Science | Best Researcher Award

Posted on 22/07/202422/07/2024 by Book of Award

Assist Prof Dr. Sasank V.V.S | Computer Science | Best Researcher Award

K L University | India

Author Profile

Scopus

Early Academic Pursuits

Dr. Sasank V.V.S. exhibited a strong academic foundation from the outset. He completed his secondary education at Jassver English Medium School in 2007 with a First Class distinction, scoring 72.66%. He continued to excel in his Intermediate studies at Mega Junior College, graduating in 2009 with an 84.1% mark, also achieving First Class. His academic journey progressed to higher education at Gitam Institute of Technology, GITAM University, where he obtained his B.Tech in Information Technology in 2013 with a CGPA of 8.15, earning a Distinction. He further advanced his education with an M.Tech in Computer Science and Technology from the same institution, graduating in 2016 with a remarkable 9.11 CGPA, securing the top rank in his department. Dr. Sasank completed his Ph.D. at K.L. University in 2023, marking a significant milestone in his academic career.

Professional Endeavors

Dr. Sasank has a rich professional background in both academia and industry. He began his teaching career as a Teaching Assistant in the CSE Department at Gitam University from October 2015 to April 2016. He then served as an Assistant Professor at the Lendi Institute of Engineering & Technology, VIZIANAGARAM, from June 2016 to April 2017. Following this, he joined Anil Neerukonda Institute of Technology & Sciences (ANITS) as an Assistant Professor and Placement Officer from June 2017 to April 2019. He has been affiliated with K L University since July 2019, initially in the CSE Department and later in the CSIT Department, where he also served as the ERP Registration In-charge. His teaching repertoire includes subjects such as DBMS, Software Engineering, Computer Architecture & Organization, Term Paper, UI/UX Design, and DevOps.

Contributions and Research Focus

Dr. Sasank's research primarily focuses on advanced topics in computer science and engineering. His areas of interest include brain tumor classification, real-time traffic management using IoT and machine learning techniques, and the evolution of modern women in literature. He has published a significant number of papers in reputed journals, including SCI papers and several Scopus-indexed articles. His notable publications include works on hybrid deep neural networks, automatic tumor growth prediction, and brain tumor classification using modified kernel-based softplus extreme learning machines. Additionally, he has guided numerous B.Tech and M.Tech project batches, contributing to the academic growth of his students.

Accolades and Recognition

Dr. Sasank has received several accolades for his academic and research achievements. He was the top ranker in his M.Tech program at Gitam University in 2016. He has published 18 papers, including SCI, Scopus, and WOS-indexed journals, and has contributed to two book chapters. His innovative research has led to the publication of two patents: one on real-time traffic management using IoT and machine learning techniques, and another on the evolution of modern women in Manju Kapur’s novels. Additionally, he has earned global certifications, including Google Associate Cloud Engineer and AWS Cloud Practitioner, and has presented his research at various international conferences.

Impact and Influence

Dr. Sasank's contributions to the field of computer science and engineering have had a significant impact on both academic and practical applications. His research on brain tumor classification and real-time traffic management has potential real-world implications, advancing the fields of medical imaging and smart city technologies. As an educator, he has influenced many students through his teaching and mentorship, guiding them in their academic and research endeavors.

Legacy and Future Contributions

Dr. Sasank's ongoing research and academic activities are expected to leave a lasting legacy in the field of computer science and engineering. His contributions to brain tumor classification and IoT-based traffic management are poised to influence future research and development in these areas. As he continues to publish and present his work, Dr. Sasank is likely to inspire and mentor the next generation of engineers and researchers, ensuring continued innovation and excellence in his field.

Notable Publications

Effective Segmentation and Brain Tumor Classification Using Sparse Bayesian ELM in MRI Images 2023

Hybrid deep neural network with adaptive rain optimizer algorithm for multi-grade brain tumor classification of MRI images 2022 (14)

An automatic tumour growth prediction based segmentation using full resolution convolutional network for brain tumour 2022 (27)

Hate Speech & Offensive Language Detection Using ML &NLP 2022 (4)

Lin Guo | Computer Science | Excellence in Innovation Award

Posted on 08/07/202411/07/2024 by Book of Award

Mr. Lin Guo | Computer Science | Excellence in Innovation Award

Huazhong University of Science and Technology | China

Author Profile

Scopus

Early Academic Pursuits

Mr. Lin Guo embarked on his academic journey with a strong foundation in Computer Science and Technology at Zhengzhou University, where he graduated with distinction as one of the top students. Building on this success, he pursued postgraduate studies in Artificial Intelligence at Huazhong University of Science and Technology, demonstrating a keen interest in advanced technologies and research methodologies.

Professional Endeavors

Mr. Guo's professional career is marked by significant contributions in the field of artificial intelligence and computer vision. His internship at Megvii Technology's Shanghai Research Institute focused on developing cutting-edge algorithms for AVP parking semantic mapping, addressing challenges in SLAM optimization and multi-frame fusion mapping. His role as a key engineer underscored his ability to innovate and implement complex solutions in real-world applications.

Contributions and Research Focus

Lin Guo has made substantial contributions to the field through his research publications and project involvements. His research spans point cloud registration, 3D registration efficiency, and advanced methods in SLAM and VIO positioning. His work on optimizing point cloud feature learning and overcoming feature ambiguity in different reference systems has been acknowledged for its innovation and practical relevance.

Accolades and Recognition

His academic achievements and research prowess have been recognized with numerous honors, including being an Outstanding Graduate of Henan Province and receiving prestigious scholarships from Zhengzhou University and Huazhong University of Science and Technology. His contributions to accepted and submitted papers in leading conferences and journals highlight his growing influence in the academic community.

Impact and Influence

Lin Guo's research has made a significant impact on the fields of computer vision and robotics, particularly in enhancing the accuracy and efficiency of point cloud registration and SLAM technologies. His methods have set benchmarks in performance on diverse datasets, demonstrating their applicability across indoor and outdoor environments.

Legacy and Future Contributions

Looking ahead, Lin Guo aims to continue pushing the boundaries of artificial intelligence and robotics. His future contributions are expected to further advance state-of-the-art techniques in SLAM optimization, 3D registration, and autonomous systems. By bridging theoretical insights with practical applications, he seeks to foster advancements that positively impact industries and society at large.

Notable Publications

SC 2-PCR++: Rethinking the Generation and Selection for Efficient and Robust Point Cloud Registration 2023 (9)

One-Inlier is First: Towards Efficient Position Encoding for Point Cloud Registration 2022 (5)

Rudresh Dwivedi | Computer Science | Best Researcher Award

Posted on 29/06/202429/06/2024 by Book of Award

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

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)

Merve Asiler | Computer Science | Best Researcher Award

Posted on 31/05/202404/06/2024 by Book of Award

Ms. Merve Asiler | Computer Science | Best Researcher Award

Middle East Technical University | Turkey

Author Profile

Orcid

Googler Scholar

Early Academic Pursuits

Ms. Merve Asiler's academic journey began with an impressive performance at Yıldırım Beyazıt Science High School in Ankara, Turkey, where she graduated at the top of her class. She continued her education at the Middle East Technical University (METU) in Ankara, Turkey, earning dual bachelor's degrees in Computer Engineering and Mathematics. During her undergraduate studies, she developed a strong interest in algorithms, computer organization, operating systems, and computer graphics. She pursued her Master’s degree in Computer Engineering at METU, specializing in Big Data and Graph Databases, and is currently working towards her Ph.D. in Computer Engineering with a focus on Computer Graphics, Computational Geometry, and Digital Geometry Processing.

Professional Endeavors

Merve Asiler has accumulated extensive professional experience in both academia and industry. She has worked as a Research and Teaching Assistant at METU, where she has contributed to various courses, including Introduction to Computer Engineering Concepts, C Programming, Algorithms, and Computer Engineering Design. Her industry experience includes roles as a Software Developer at Accelerate Simulation Technologies, Turkish Aerospace, and Kale Yazilim. These roles involved developing software for unmeshed CAD geometries, engaging in modeling and simulation activities, and handling complex queries in large graph databases using Neo4j.

Contributions and Research Focus

Ms. Asiler's research primarily revolves around computer graphics, computational geometry, and digital geometry processing. Her Ph.D. research focuses on geometric kernel computation in 3D space, developing algorithms that outperform current methods for kernel computation. Her Master's research involved developing BB-Graph, a new subgraph isomorphism algorithm for querying big graph databases. This work was done in collaboration with Kale Yazilim and demonstrated significant performance improvements over existing algorithms.

Accolades and Recognition

Ms. Asiler has been recognized for her academic excellence with a GPA of 3.93/4.00 in her Ph.D. studies and 3.71/4.00 in her Master's program. She has published significant research papers, including a study on 3D geometric kernel computation in polygon mesh structures and a subgraph isomorphism algorithm for querying big graph databases. Her work has been published in reputable journals like Computers & Graphics and the Journal of Big Data.

Impact and Influence

Ms. Asiler's contributions to computer science, particularly in the areas of computer graphics and big data, have had a significant impact on both academia and industry. Her research on geometric kernels and graph databases has advanced the understanding and application of these complex areas. As a teaching assistant, she has influenced and mentored numerous students, preparing original programming assignments and supervising student projects.

Legacy and Future Contributions

Looking ahead, Ms. Asiler plans to leverage her expertise in mesh kernels to explore novel solutions for non-self-intersecting shape interpolation and star-shape decomposition problems. Her future contributions are likely to continue pushing the boundaries of computational geometry and computer graphics, benefiting both academic research and practical applications in various industries. With her strong foundation and ongoing commitment to research, Ms. Asiler is poised to make lasting contributions to the field of computer science.

Notable Publications

HyGraph: a subgraph isomorphism algorithm for efficiently querying big graph databases 2022 (3)

Chao Huang | Engineering | Best Research Award

Posted on 12/12/202307/03/2024 by Book of Award

Chao Huang | Best Research Award - Award Winner 2023

Chao Huang | Engineering

Congratulations, Chao Huang! Your exceptional dedication to research and relentless pursuit of knowledge have rightfully earned you the esteemed Best Researcher Award. Your work at The Hong Kong Polytechnic University stands as a testament to your unwavering commitment to excellence in academia. Through your groundbreaking contributions and innovative thinking, you've not only pushed the boundaries of knowledge but also inspired your peers and mentees to reach greater heights. This recognition is a testament to your brilliance and the impact your work has made in your field.

Your relentless pursuit of excellence in research has set a remarkable standard, establishing you as a trailblazer in your field. Your innovative approaches and unwavering dedication have not only advanced the frontiers of knowledge at your institution but have also contributed significantly to the broader academic community. This award not only celebrates your remarkable achievements but also serves as a testament to the profound impact you've made in your field and beyond. Keep shining brightly as a beacon of inspiration and knowledge!

Early Academic Pursuits

Chao Huang commenced her academic journey with a Bachelor's degree in Control Engineering from China University of Petroleum (Beijing) in 2012. She then pursued her Master's in Control Engineering at the same institution, graduating in July 2014. Her academic foundation laid the groundwork for her subsequent research and professional endeavors.

Professional Endeavors

Transitioning from academia to impactful research roles, Chao Huang served as a PhD candidate at the University of Wollongong, Australia, from July 2014 to August 2018. Following her doctoral studies, she took on roles in Japan as a technical support professional and a project researcher at the National Institute of Informatics.

Contributions and Research Focus

Throughout her career, Chao Huang has made significant contributions to the field of engineering, particularly in control theory, human-machine collaboration, system modeling, and simulation. Her research spans diverse domains, including robots, decision-making, unmanned aerial vehicles (UAVs), trajectory prediction, risk assessment, and fault-tolerant control systems. Her doctoral thesis on "Fault tolerant Steer-by-Wire systems: Impact on vehicle safety" showcases her commitment to ensuring safety in vehicle technologies.

Short Courses Attended

Details about specific short courses attended by Chao Huang aren't provided in the information available.

Impact and Influence

Chao Huang's work has left a substantial impact on various academic domains, evident from her multiple publications, editorial roles in prestigious journals, and contributions to numerous special issues. Her active participation in conferences and symposiums also underscores her influence in shaping discussions around cutting-edge engineering advancements.

Academic Citations

Her research contributions have garnered significant attention and citations within the academic community, reflected in her profile on Google Scholar, demonstrating the impact of her scholarly work.

Experience

Her diverse experience, ranging from technical support to project research roles across different countries, has enriched her understanding and expertise in engineering and control systems.

Legacy and Future Contributions

Chao Huang's legacy lies in her comprehensive involvement in research, teaching, publication, conference organization, and mentorship. Her future contributions are poised to further revolutionize engineering, especially in the realms of human-machine collaboration, control systems, and the integration of emerging technologies like UAVs and robotics.

This summary provides an overview of Chao Huang's academic and professional journey, highlighting her significant contributions, areas of expertise, and the potential impact of her future endeavors.

Notable Publication

An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors 25 November 2020

Fault Tolerant Sliding Mode Predictive Control for Uncertain Steer-by-Wire System 17 November 2017

Data-Driven Estimation of Driver Attention Using Calibration-Free Eye Gaze and Scene Features 09 February 2021

Author Profile

Google scholar

Tek Gyawali | Engineering | Best Researcher Award

Posted on 12/12/202307/03/2024 by Book of Award

Tek Gyawali | Best Researcher Award - Award Winner 2023

Tek Gyawali | Engineering

Congratulations, Tek Gyawali, on receiving the prestigious Best Researcher Award! Your unwavering commitment to advancing knowledge and pushing the boundaries of research has rightfully earned you this esteemed recognition. Your dedication to exploring innovative solutions and your relentless pursuit of excellence in academia are truly commendable.

Your contributions to the field of research stand as a testament to your passion and expertise. Your profound insights and impactful discoveries have not only enriched academia but also have the potential to make a lasting difference in the world. Your relentless efforts in unraveling new frontiers in your field have not gone unnoticed, and this award is a testament to your hard work, perseverance, and outstanding achievements. Here's to celebrating your remarkable accomplishments and the groundbreaking contributions you continue to make in the realm of research. Cheers to your success and the inspiration you provide to aspiring researchers worldwide!

Early Academic Pursuits:

Prof. Dr. Tek Raj Gyawali pursued his education across various institutions, demonstrating a strong foundation in Mathematics, Science, and Engineering disciplines. His educational journey began at Gandaki Boarding School in Nepal and continued with proficiency certificate studies at Amrit Science Campus in Kathmandu. Subsequently, he obtained specialized training in Chinese language from the Beijing Language Institute before pursuing Bachelor's, Master's, and Doctoral degrees in Engineering from Tongji University in Shanghai and the University of Tokyo in Japan, respectively.

Professional Endeavors:

Prof. Dr. Gyawali's professional trajectory exhibits a rich blend of research, teaching, and managerial roles. His career commenced as a Research Engineer at Developing and Consulting Services (DCS) in Nepal. This journey expanded to managerial positions at Meada Corporation in Japan, where he served as a Manager and later as the Country Representative for Nepal. He further contributed to academia as a Professor and Faculty Member at various engineering colleges and universities in Nepal, specializing in Civil Engineering.

Contributions and Research Focus:

Throughout his career, Prof. Dr. Gyawali has been actively involved in a diverse array of research initiatives and projects. His research interests encompass multiple facets of concrete technology, continuous mixer development, material engineering, and seismic-resistant construction methodologies. He has contributed significantly to the development of innovative concrete mixing systems, lightweight concrete formulations, mortar technologies, and eco-friendly construction materials.

Short Courses Attended:

Prof. Dr. Gyawali participated in numerous short courses and seminars worldwide, focusing on concrete technology, structural engineering, construction management, and disaster management. These engagements across various countries like Japan, China, the UK, Spain, Poland, and more reflect his dedication to continuous learning and professional development.

Impact and Influence:

His contributions to academia, research, and the engineering field are exemplified through a prolific publication record comprising theses, research papers, seminar proceedings, journal articles, and research reports. Prof. Dr. Gyawali's work has notably focused on improving concrete mixing techniques, developing innovative construction materials, and advancing seismic-resistant technologies.

Academic Cites:

His academic endeavors include guiding students' research projects, teaching various engineering subjects, supervising master's theses, and contributing to curriculum development. Additionally, he has served as a committee member for academic program planning, curriculum design, and research proposal evaluations.

Experience:

Prof. Dr. Gyawali's extensive experience spans structural analysis, material science, concrete technology, and disaster management. He's been involved in consulting, technical advisory roles, project management, and research collaborations in notable projects such as the Three Gorges Project in China and various academic collaborations in Japan, the UK, and other countries.

Legacy and Future Contributions:

Prof. Dr. Gyawali's legacy lies in his multifaceted contributions to academia, innovative research in concrete technology, seismic-resistant construction methodologies, and his commitment to educating future engineers. His work continues to inspire advancements in the field of civil engineering, and he remains dedicated to fostering sustainable, eco-friendly construction practices for the future.

Notable Publication

Author Profile

Scopus

ORCID