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

Prostate cancer classification using adaptive swarm Intelligence based deep attention neural network 2024

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)

 

 

 

 

Yang Liu | Computer Science | Best Researcher Award

Prof. Yang Liu | Computer Science | Best Researcher Award

Henan University of Technology | China

Author Profile

Orcid

Early Academic Pursuits

Prof. Yang Liu was born in November 1978. She pursued her academic journey in the field of Computer Science, culminating in a Ph.D. from the School of Computer Science at Northwestern Polytechnical University (NWTU) between September 2003 and November 2007. Her early academic career set a strong foundation for her expertise in distributed computing and blockchain technology.

Professional Endeavors

After earning her Ph.D., Prof. Liu began her professional career as an Assistant Researcher at the Shenzhen Institutes of Advanced Technology, part of the China Academy of Sciences, from November 2007 to February 2009. Since March 2009, she has been a Professor at the College of Information Science and Engineering, Henan University of Technology (HAUT). Her professional journey has been marked by significant contributions to academia and research, particularly in the realms of distributed computing and blockchain.

Contributions and Research Focus

Prof. Liu's research interests are deeply rooted in distributed computing and blockchain technology, focusing on developing secure and efficient consensus mechanisms in blockchain systems, implementing blockchain-based solutions for food traceability and circulation, and researching adaptive resource scheduling and allocation mechanisms in cloud environments. Her contributions extend to developing distributed computing technologies tailored for big data domains. Prof. Liu's work has been instrumental in advancing the practical application and theoretical understanding of these technologies, significantly impacting various real-world scenarios.

Accolades and Recognition

Prof. Liu has garnered numerous awards and honors, underscoring her substantial contributions to science and technology. These include being appointed Chief Science Expert of Henan Province in 2023, receiving the New Century Excellent Talents award from the Ministry of Education of China in 2012, and leading an Innovative Research Team in Science and Technology at the University of Henan Province in 2017. Her achievements also encompass the Prize of Scientific and Technological Achievements of Henan Province in 2013, along with the Henan Province Award for Outstanding Publications in Natural Science in 2011. These accolades affirm Prof. Liu's impactful role in advancing research and innovation, particularly within Henan Province and across China.

Impact and Influence

Prof. Liu's influence extends beyond her research into pivotal roles within various organizations. She serves as a Technical Committee Member for Systems Software and Blockchain at the China Computer Federation (CCF), highlighting her expertise in these critical fields. Additionally, as Deputy Director of the Academic Committee at the Henan Blockchain Technology Research Association and a member of the Experts Committee at the Zhengzhou Information Promote Association, she plays a significant role in shaping the future of computing and blockchain technology. Her leadership and contributions in these positions underscore her commitment to advancing these domains, both locally and on a broader scale.

Legacy and Future Contributions

Prof. Liu has authored numerous publications that have contributed to the body of knowledge in her field. Some notable works include research on consensus algorithms, cloud computing resource management, and energy-efficient communication in wireless sensor networks. Her ongoing research and future contributions are expected to further advance the fields of distributed computing and blockchain, influencing both academic research and practical applications.

 

Notable Publications

TortoiseBFT: An asynchronous consensus algorithm for IoT system 2024

Towards secure and efficient integration of blockchain and 6G networks 2024

A Pipeline-based Chain Structure Byzantine Consensus Algorithm for Blockchain Systems 2023

SoK: Research status and challenges of blockchain smart contracts 2023

MoryFabric: Reducing Transaction Abort by Actual Validity Verification and Reordering 2023

 

 

 

Merve Asiler | Computer Science | Best Researcher 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

3D geometric kernel computation in polygon mesh structures 2024

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

 

 

 

Yongshin Park | Decision Sciences | Excellence in Research Award

Dr. Yongshin Park | Decision Sciences | Excellence in Research Award

St. Edward's University | United States

Author Profile

Scopus

Orcid

Early Academic Pursuits

Dr. Yongshin Park embarked on his academic journey at North Dakota State University, where he obtained a Bachelor of Science in Industrial and Manufacturing Engineering in 2012. He continued his studies at the same institution, earning a Master’s degree in Managerial Logistics in 2013. Driven by a passion for data and analysis, Dr. Park further pursued a Graduate Degree Certificate in Statistics, which he completed alongside his Ph.D. in Transportation and Logistics in 2018. His dissertation, titled "Three Essays on Sustainability of Transportation and Supply Chain," laid the foundation for his future contributions to academia and industry.

Professional Endeavors

Dr. Park’s professional career began as a Research Assistant at North Dakota State University's Upper Great Plains Transportation Institute, where he worked from 2012 to 2018. He then transitioned to academia as a Lecturer at North Dakota State University, teaching various courses in Transportation, Operations, and Supply Chain Management. In 2018, Dr. Park joined St. Edward’s University in Austin, TX, where he initially served as an Assistant Professor of Operations Management. His exemplary performance led to his promotion to Associate Professor of Operations Management and Business Analytics in 2023, and he currently holds the position of Program Director for the MS in Business Analytics.

Contributions and Research Focus

Dr. Park’s research is deeply rooted in transportation and supply chain sustainability, financial management, and data analytics. His expertise spans a wide range of analytical tools and software, including R, SPSS, Python, and Tableau, among others. Dr. Park has authored multiple scholarly publications, with notable works focusing on topics such as port productivity, herd behavior in decision-making, and the sustainability performance of the construction sector. His interdisciplinary approach has also led to significant contributions in fields like hydrology education and media framing of social issues.

Accolades and Recognition

Throughout his career, Dr. Park has received numerous accolades for his research and teaching excellence. He was awarded the Munday School of Business Dean’s Excellent Research Grant twice, in 2022 and 2023. His innovative research on port infrastructure earned him a substantial grant from Gyeongsang National University, South Korea, in 2023. Additionally, Dr. Park’s academic achievements have been recognized with awards such as the Encouragement Paper Award from the Asian Association of Management Science and Application and the Excellent Student Paper Award from the Korean Transportation Association in America.

Impact and Influence

Dr. Park’s impact extends beyond his publications and grants. He has played a pivotal role in developing and modernizing academic programs at St. Edward’s University, including the MS in Business Analytics and the MBA Supply Chain Management Concentration. His dedication to teaching and mentorship has fostered the academic growth of numerous undergraduate and graduate students. Dr. Park's collaborative efforts with faculty and industry professionals have enriched the curriculum and enhanced the university's reputation in the field of business analytics.

Legacy and Future Contributions

Dr. Park’s legacy is characterized by his commitment to sustainability in transportation and supply chain management, as well as his innovative approach to data analytics and education. Looking ahead, he aims to continue his research on sustainability and efficiency in logistics and supply chains, with a focus on developing new models and tools to address emerging challenges in these fields. Dr. Park’s ongoing work promises to make significant contributions to both academia and industry, ensuring his lasting influence on future generations of scholars and practitioners.

Notable Publications

A responsive closed-loop supply chain network design under demand uncertainty 2024

Predicting Nurse Turnover for Highly Imbalanced Data Using the Synthetic Minority Over-Sampling Technique and Machine Learning Algorithms 2023 (1)

The efficient and stable planning for interrupted supply chain with dual‐sourcing strategy: a robust optimization approach considering decision maker's risk attitude 2023 (13)

Multi-criteria supplier selection problem with fuzzy demand: a newsvendor model 2022 (1)

A Comparative Time-Series Investigation of China and U.S. Manufacturing Industries’ Global Supply-Chain-Linked Economic, Mid and End-Point Environmental Impacts 2021 (5)

 

 

 

 

Ruichao Yang | Computer Science | Best Researcher Award

Ms. Ruichao Yang | Computer Science | Best Researcher Award

Hong Kong Baptist University | Hong Kong

Author Profile

Scopus

Early Academic Pursuits

Ruichao Yang commenced their academic journey at Jilin University, where they systematically delved into computer science courses and participated in various competitions. Notably, they secured the third prize in the 5th "Certification Cup" National College Students Mathematical Modeling Network Challenge. Their undergraduate experience laid a robust foundation in data structure, algorithm design, and analytical skills, setting the stage for their future endeavors.

Professional Endeavors

Ruichao Yang's professional journey commenced with internships and later full-time roles at Microsoft China, where they showcased their prowess in software engineering and natural language processing. They contributed significantly to projects aimed at enhancing online keyword matching systems, filtering advertisements, and improving revenue through innovative approaches. Their expertise in programming languages, data structures, and algorithms proved instrumental in restructuring and optimizing advertising business systems.

Contributions and Research Focus

Ruichao Yang's academic background, coupled with their industry experience, fueled their research focus on improving the efficiency of computing systems, particularly cache optimization and deep learning network acceleration. Their contributions to building domain knowledge graphs and anomaly detection models underscore their commitment to advancing technology's practical applications, particularly in the realm of advertising and revenue optimization.

Accolades and Recognition

Throughout their academic and professional journey, Ruichao Yang garnered numerous accolades and awards, including academic scholarships, merit distinctions, and recognition for their leadership and volunteerism. Their consistent pursuit of excellence and dedication to their field have been acknowledged both within academia and the industry.

Impact and Influence

Ruichao Yang's work at Microsoft China and academic research endeavors have left a significant impact on the domains of software engineering and computer science. Their innovative approaches to problem-solving and contributions to optimizing advertising systems have not only enhanced user experiences but also contributed to revenue growth and operational efficiency.

Legacy and Future Contributions

As Ruichao Yang continues to navigate their career path, their legacy lies in their contributions to advancing technology's frontiers, particularly in software engineering, natural language processing, and computational optimization. Their future contributions are poised to further propel innovation, shape industry standards, and inspire the next generation of computer scientists and engineers.

Notable Publications

  • CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy 2024
  • Towards low-resource rumor detection: Unified contrastive transfer with propagation structure 2024
  • Reinforcement Subgraph Reasoning for Fake News Detection 2022 (29)

    A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning 2022 (20)

    Towards Fine-Grained Reasoning for Fake News Detection 2022 (35)