Xinhai Wang | Computer Science | Best Researcher Award

Posted on 05/10/202405/10/2024 by Book of Award

Mr. Xinhai Wang | Computer Science | Best Researcher Award

Northeastern University | China

Author Profile

Early Academic Pursuits 🎓

Mr. Xinhai Wang's academic journey began with an undergraduate degree in Mathematics and Applied Mathematics from Northeastern University, where he achieved a GPA of 3.81/5. His academic excellence earned him several accolades, such as the "Outstanding Student Cadre" and "Three Good Students" awards, reflecting his dedication to both academics and extracurricular activities. Wang was actively involved in numerous projects during his undergraduate years, honing his skills in advanced algebra, data mining, and mathematical modeling, laying the groundwork for his future endeavors.

Professional Endeavors 🏆

In September 2022, Xinhai Wang assumed the role of monitor for Northeastern University's Master of Science Class 2201, demonstrating exemplary leadership and organizational skills. His work extended beyond the classroom, where he helped in the construction of class activities and assisted in Party branch operations. Wang was awarded the honorary title of Outstanding Graduate Student Cadre for his relentless efforts in promoting student engagement and fostering a collaborative environment. As a deputy director in the Project Development Department of the Social Practice Department, he organized impactful student initiatives such as charity sales, making significant contributions to the student community.

Contributions and Research Focus 🔬

Mr. Wang's contributions to academia and research are vast, with his work primarily centered on applying advanced algorithms in real-world scenarios. He has engaged in several high-level projects, including the application of genetic algorithms in mobile chess and using deep learning techniques like Deep Q Networks for stock market predictions. His research has tackled challenges in time series prediction, exploring fractional order random configuration networks (FSCN) to address the inherent non-stationarity in real-world data. These projects showcase his technical expertise in MATLAB and Python, alongside his growing knowledge of reinforcement learning and machine learning.

Accolades and Recognition 🏅

Xinhai Wang's academic brilliance has been recognized throughout his career, both during his undergraduate and graduate studies. His GPA of 3.40/4 ranked him 2nd in his class, further earning him prestigious honors such as the President Scholarship and First-Class Academic Scholarship. His leadership in class and organizational roles has led to multiple "Outstanding Class Cadre" awards. Wang's academic achievements extend beyond his GPA and awards, with his research work being submitted to conferences and awaiting SCI journal reviews, positioning him as a rising star in applied statistics and data science.

Impact and Influence 🌟

Through his roles in student governance and research, Wang has had a lasting impact on both his peers and the academic community. He has innovated branch activities, guided students in social practice initiatives, and created platforms for broader engagement in scientific and social matters. His research endeavors, such as the application of deep learning to stock prediction and time series analysis, contribute to the growing body of knowledge in the field of statistical modeling and artificial intelligence, influencing future technological advancements.

Legacy and Future Contributions 💡

Mr. Xinhai Wang's journey reflects a commitment to excellence in academic leadership, research, and innovation. As he continues to explore the boundaries of machine learning, algorithm design, and data modeling, his future contributions will likely have a profound effect on emerging fields like stock prediction and industrial data analysis. His ongoing projects in MATLAB and Python, combined with his growing expertise in reinforcement learning, position him for future success in both academic and professional arenas.

Publications

📄 Prediction of Ship-Unloading Time Using Neural Networks
Author: Zhen Gao, Danning Li, Danni Wang, Zengcai Yu, Witold Pedrycz, Xinhai Wang
Journal: Applied Sciences
Year: 2024-09

📄 Novel Admissibility Criteria and Multiple Simulations for Descriptor Fractional Order Systems with Minimal LMI Variables
Author: Xinhai Wang, Jin-Xi Zhang
Journal: Fractal and Fractional
Year: 2024-06

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)

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