Mr. Hyston Kayange | Novel Protocols | Best Researcher Award

Published on by Network Awards

Mr. Hyston Kayange | Novel Protocols | Best Researcher Award

Mr. Hyston Kayange, Soongsil University, South Korea

Hyston Kayange is a dedicated researcher and IT professional from Malawi, currently pursuing a Master’s degree in Computer Science and Engineering at Soongsil University, South Korea. With a passion for machine learning and deep learning, Hyston specializes in designing advanced systems for personalized recommendations, particularly in health and fitness. His innovative work combines practical experience in ICT management with academic research, demonstrating a commitment to leveraging technology for impactful solutions. Hyston’s contributions to the field include publications and presentations at international conferences, establishing him as an emerging voice in deep learning applications.

Professional Profile

Google Scholar

Suitability Summary for Hyston Kayange for the Best Researcher Award

Hyston Kayange’s extensive research and contributions in the field of Machine and Deep Learning, particularly in personalized recommendation systems, position him as a strong candidate for the Best Researcher Award. His academic journey, beginning with a Bachelor’s degree in Computer Science from Daeyang University in Malawi and continuing with a Master’s at Soongsil University in South Korea, underscores his commitment to advancing his knowledge and expertise. During his studies, he has engaged in meaningful research that aims to enhance the accuracy of fitness and health-related recommendations through innovative deep learning methodologies.

Education 📚

Hyston Kayange is currently pursuing a Master of Science in Computer Science and Engineering at Soongsil University, Seoul, South Korea, since August 2022. His research focuses on personalized recommendation systems, with an emphasis on fitness applications under the guidance of Advisor Jongsun Choi. He previously earned his Bachelor’s degree from Daeyang University in Malawi (2017-2021), where he completed a significant project in computer vision aimed at facilitating communication between natural language speakers and the deaf, known as MTHANDIZI. Hyston’s educational background lays a strong foundation for his current research endeavors.

Experience 💼

Hyston Kayange brings a blend of academic and practical experience to his role. He served as an ICT Officer at United Civil Servant SACCO in Malawi from 2021 to August 2022, where he managed fintech systems, ensuring efficient operations and resolving user queries. Currently, he is an Assistant Researcher at Soongsil University, actively involved in advancing deep learning techniques for personalized recommendations. His research includes developing a method for adaptive feature selection in deep recommendation systems, aiming to enhance the accuracy of fitness recommendations and improve health outcomes through technology.

Awards and Honors 🏆

Hyston Kayange has been recognized for his contributions to the field of computer science, particularly in machine learning and personalized recommendations. His research has garnered attention at international conferences, showcasing his innovative approaches to deep learning. While specific awards may not yet be listed, his commitment to advancing technology in health and fitness through research demonstrates his potential for future accolades. As he continues his academic journey, Hyston is poised to make significant contributions to the field, which may lead to further recognition and honors.

Research Focus 🔬

Hyston Kayange’s research focuses on applying machine and deep learning techniques to develop personalized recommendation systems, particularly in health and fitness. His work emphasizes improving the accuracy of these systems through innovative methods like adaptive feature selection and hybrid modeling techniques. By leveraging deep learning frameworks, he aims to create systems that provide tailored recommendations, thereby enhancing user experience and promoting healthier lifestyles. Hyston’s research contributions are aimed at integrating advanced technology into practical applications that can significantly impact individual fitness journeys and health outcomes.

Publication Top Notes  📖

  • ProAdaFS: Probabilistic and Adaptive Feature Selection in Deep Recommendation Systems
  • A Hybrid Approach to Modeling Heart Rate Response for Personalized Fitness Recommendations Using Wearable Data
  • Deep Adaptive Feature Selection in Deep Recommender Systems

 

Dr. Bhargavi D | Computational Awards | Best Researcher Award

Published on by Network Awards

Dr. Bhargavi D | Computational Awards | Best Researcher Award

Dr. Bhargavi D , NITW , India

Dr. D. Bhargavi is an esteemed Associate Professor in the Department of Mathematics at the National Institute of Technology (NIT) Warangal. She completed her Ph.D. in Fluid Mechanics and Numerical Heat Transfer from IIT Kharagpur, under the guidance of Prof. V. V. Satyamurty. Her doctoral thesis focused on forced convection heat transfer with viscous dissipation in parallel plate channels partially filled with porous material. Dr. Bhargavi holds an M.Sc. in Applied Mathematics from the University of Hyderabad and has a solid academic foundation, having consistently achieved first-class honors throughout her educational journey. She has extensive teaching experience, beginning as an NBHM Post Doctoral Fellow at CMMACS, NAL Belur Campus, Bangalore, before serving as an Assistant Professor at NIT Warangal from 2012 to 2022. In July 2023, she was promoted to Associate Professor at the same institution. Dr. Bhargavi’s professional interests lie in teaching and research, with technical expertise in operating systems like Windows and Linux, and programming languages such as Fortran 95 and Python. She has taught a wide range of undergraduate and postgraduate courses, including Numerical Solution of Differential Equations, Complex Analysis, and Probability, Statistics, and Queuing Theory.

Professional Profile:

Google Scholar

🎓Education :

Dr. D. Bhargavi is an Associate Professor in the Department of Mathematics at the National Institute of Technology (NIT) Warangal. She earned her Ph.D. in Fluid Mechanics and Numerical Heat Transfer from IIT Kharagpur, focusing on forced convection heat transfer with viscous dissipation in parallel plate channels partially filled with porous material. Prior to her doctoral studies, she completed an M.Sc. in Applied Mathematics at the University of Hyderabad.Dr. Bhargavi has a robust academic career, starting as an NBHM Post Doctoral Fellow at CMMACS, NAL Belur Campus, Bangalore. She later served as an Assistant Professor at NIT Warangal from 2012 to 2022, advancing to Associate Professor in July 2023.

🏢Professional Experience:

Her professional interests encompass teaching and research, with expertise in operating systems like Windows and Linux, and programming languages such as Fortran 95 and Python. She has taught various undergraduate and postgraduate courses, including Numerical Solution of Differential Equations, Complex Analysis, and Probability, Statistics, and Queuing Theory.

Publication Top Notes:

 

 

 

Mr. Mauricio Hidalg | Computing Awards | Best Researcher Award

Published on by Network Awards

Mr. Mauricio Hidalg | Computing Awards | Best Researcher Award

Mr. Mauricio Hidalg , Universidad Finis Terrae , Chile

Mauricio Hidalgo Barrientos is a dedicated academic and researcher currently pursuing a Ph.D. in Computer Science at Universidad Técnica Federico Santa María, focusing on role assignment for software engineering students using Kolb’s Learning Styles Inventory. He holds a Master’s degree in Higher Education Management from Universidad Santo Tomás and a Bachelor’s degree in Civil Engineering in Informatics and Telecommunications from Universidad Diego Portales. Mauricio’s professional experience includes roles as a professor at Universidad Diego Portales and Universidad de Santiago de Chile, and he has served as Director of the Informatics Engineering program at Universidad San Sebastián. He has collaborated on international research projects, published numerous scientific articles, and presented at various conferences. His research interests include software engineering, deep learning, and digital transformation in higher education. Mauricio has been recognized with several awards and scholarships, reflecting his commitment to excellence in both teaching and research.

Professional Profile:

Orcid

🎓Education:

Mauricio Hidalgo Barrientos is currently pursuing a Ph.D. in Computer Science at Universidad Técnica Federico Santa María, where his research focuses on role assignment for software engineering students using Kolb’s Learning Styles Inventory. He holds a Master’s Degree in Higher Education Management from Universidad Santo Tomás and a Bachelor’s Degree in Civil Engineering in Informatics and Telecommunications from Universidad Diego Portales. His academic journey spans a comprehensive exploration of educational management and engineering disciplines, reflecting his commitment to advancing both theoretical understanding and practical application in these fields.

🏢Work Experience:

Mauricio Hidalgo Barrientos has held various academic and professional roles, currently serving as Académico jornada at the Escuela de Informática y Telecomunicaciones at Universidad Diego Portales. He also works as Docente Adjunto – Categoría I at the Departamento de Ingeniería Informática at Universidad de Santiago de Chile and as Docente Adjunto in the Facultad de Ingeniería at Universidad Finis Terrae and Universidad Andrés Bello. Previously, Mauricio has served as Director de Carrera for Ingeniería civil Informática at the Sede Santiago of Universidad San Sebastián, Académico jornada at the Facultad de Ingeniería at Universidad Finis Terrae, and as a lecturer in higher education institutions including Universidad Diego Portales, Universidad Finis Terrae, Universidad San Sebastián, and Instituto Profesional Santo Tomás, Sede Santiago. His professional experience also includes roles as Director de Carreras de Informática at Instituto Profesional Santo Tomás, Sede Santiago, and as an Ingeniero de Desarrollo and Jefe de Proyectos at JPMorgan Chase Bank N.A. Additionally, Mauricio has worked as a researcher at the National Optical Astronomy Observatory (NOAO/AURA), showcasing his extensive expertise and versatile contributions in academia, industry, and research environments.

🏆Awards and Scholarships:

Mauricio Hidalgo Barrientos has been recognized with several prestigious awards and scholarships throughout his career. In 2023, he was a beneficiary of the PIIC-USM Program for Scientific Initiation at Universidad Técnica Federico Santa María. In 2020, he received the ANID Scholarship for his National Doctoral studies. In 2017, Mauricio was honored with the Excellence in Teaching Award from the VRP-UDP at Universidad Diego Portales, highlighting his dedication to educational excellence. Additionally, in 2001, he was awarded the 18 de septiembre Prize by the Ministry of National Defense, underscoring his contributions and achievements in various fields.

Publication Top Notes:

  • Challenges to Use Role Playing in Software Engineering Education: A Rapid Review
    • Type: Book chapter
    • Year: 2024
  • Challenges to Applying Role Playing in Software Engineering Education: A Taxonomy Derived from a Rapid Literature Review
    • Journal: SN Computer Science
    • Year: 2024
  • How Software Architects Learn: A pilot study of their learning style in Kolb’s Learning Styles Inventory
    • Conference: 2023 42nd IEEE International Conference of the Chilean Computer Science Society (SCCC)
    • Year: 2023
  • Batch Generation of a Satellite Big Data Database and Comparison of LSTM Network Performance on Local Workstations
    • Conference: 2022 41st International Conference of the Chilean Computer Science Society (SCCC)
    • Year: 2022
  • Deep learning aplicado para la detección de hemorragias y tumores cerebrales
    • Journal: AtoZ: novas práticas em informação e conhecimento
    • Year: 2021

 

 

Mr. Jamin Rahman Jim | Artificial Intelligent Awards | Best Researcher Award

Published on by Network Awards

Mr. Jamin Rahman Jim | Artificial Intelligent Awards | Best Researcher Award

Mr. Jamin Rahman Jim, Advanced Machine Intelligence Research Lab – AMIR Lab, Bangladesh

Jamin Rahman Jim, an accomplished researcher hailing from Dhaka, Bangladesh, specializes in machine intelligence and deep learning applications. With a Bachelor of Science in Computer Science and Engineering from the American International University-Bangladesh, where he graduated with high honors and received prestigious academic scholarships, Jim has contributed significantly to the field through his work at leading research institutions like the Advanced Machine Intelligence Research Lab (AMIR Lab) and Deepchain Labs. His publications in esteemed journals such as IEEE Access and Natural Language Processing Journal showcase his expertise in areas ranging from trustworthy metaverse development to sentiment analysis and medical image segmentation. Notably, he received the Research Award 2023 from AMIR Lab and an Academic Research Grant from the Competitive Research Fund of The University of Aizu, Japan. With a keen focus on leveraging machine learning and deep learning for cybersecurity, medical imaging, and autonomous vehicle navigation, Jim’s contributions continue to shape the forefront of technological innovation.

Professional Profile:

Google Scholar

📚 Education:

Jamin Rahman Jim pursued his Bachelor of Science in Computer Science and Engineering, specializing in Information Systems, at American International University-Bangladesh from January 2020 to June 2023. Throughout his academic journey, he demonstrated exceptional dedication and achieved a final grade of 3.96 out of 4.00. His thesis, titled “Assessing Personalized Federated Learning Algorithms for Pattern Recognition Tasks,” showcased his expertise in the field. This comprehensive program equipped him with a solid foundation in computer science principles and practical skills necessary for his subsequent career in research and development.

📅 Work Experience:

Jamin Rahman Jim has been actively engaged in the research field, contributing significantly to the advancement of machine intelligence. He began his journey as a Research Assistant at Deepchain Labs in Dhaka, Bangladesh, from December 2022 to April 2023, where he laid the groundwork for his research career. Building on this experience, he transitioned to the role of Research Assistant at the Advanced Machine Intelligence Research Lab (AMIR Lab) in Dhaka, Bangladesh, from May 2023 to January 2024. During this period, he honed his skills and expanded his knowledge in the domain of machine intelligence. Currently, he holds the position of Researcher at AMIR Lab, commencing in February 2024, where he continues to make significant contributions to cutting-edge research projects. His tenure at AMIR Lab reflects his dedication to pushing the boundaries of machine intelligence and furthering the understanding of this dynamic field.

🏅 Honours and Awards:

Jamin Rahman Jim’s academic journey at the American International University-Bangladesh was marked by outstanding achievements and recognition. He received the prestigious Academic Merit Scholarship, a testament to his consistent excellence throughout his Bachelor’s degree program. Furthermore, his exemplary academic performance earned him a place on the Dean’s List Honors and the distinguished title of Summa Cum Laude, affirming his exceptional capabilities and dedication to academic excellence.

Publication Top Notes:

  1. Towards Trustworthy Metaverse: Advancements and Challenges
    • Authors: JR Jim, MT Hosain, MF Mridha, MM Kabir, J Shin
    • Published in: IEEE Access (2023)
    • Cited by: 7
  2. Recent Advancements and Challenges of NLP-based Sentiment Analysis: A State-of-the-Art Review
    • Authors: JR Jim, MAR Talukder, P Malakar, MM Kabir, K Nur, MF Mridha
    • Published in: Natural Language Processing Journal (2024)
    • Cited by: 1
  3. Explainable AI Approaches in Deep Learning: Advancements, Applications and Challenges
    • Authors: MT Hosain, JR Jim, MF Mridha, MM Kabir
    • Published in: Computers and Electrical Engineering (2024)
  4. Deep Learning for Medical Image Segmentation: State-of-the-Art Advancements and Challenges
    • Authors: ME Rayed, SMS Islam, SI Niha, JR Jim, MM Kabir, MF Mridha
    • Published in: Informatics in Medicine Unlocked (2024)
  5. TeaLeafAgeQuality: Age-Stratified Tea Leaf Quality Classification Dataset
    • Authors: MM Kabir, MS Hafiz, S Bandyopadhyaa, JR Jim, MF Mridha
    • Published in: Data in Brief (2024)

 

 

 

 

Mr. Payam Seraj | Additive Manufacturing | Best Researcher Award

Published on by Network Awards

Mr. Payam Seraj | Additive Manufacturing | Best Researcher Award

Mr. Payam Seraj, Sharif university of technology, Iran

Mr. Payam Seraj, a dedicated Ph.D. student at Sharif University of Technology in Tehran, Iran, specializing in Materials Science and Engineering since September 2016. 🎓 With an outstanding academic record, he is set to complete his doctoral degree by the summer of 2020, focusing on the microstructural and mechanical properties of metallic additive manufactured parts. 🔬 Prior to his Ph.D., Payam excelled in his Master’s program, earning his degree in September 2016 with a remarkable GPA of 18.70/20 (4/4), conducting research on softening kinetics for a cold-worked AA5052-SiCp composite. 🌐 A dedicated researcher, his expertise spans additive manufacturing systems, computational materials science, and finite element modeling. 🛠️ Mr. Seraj’s commitment to excellence is underscored by his accolades, including being recognized as an Exemplary Teacher Assistant and achieving the top rank among Ph.D. students in Materials Science and Engineering. 🏆 His multifaceted research portfolio reflects a passion for advancing materials science and mechanics, with a focus on innovation and real-world applications. 🌟

🎓 Education :

Meet Mr. Payam Seraj, a dedicated Ph.D. student at Sharif University of Technology in Tehran, Iran, specializing in Materials Science and Engineering since September 2016. With an impressive academic record, he anticipates completing his doctoral degree by the summer of 2020. Payam’s research focus lies in the exploration of microstructural and mechanical properties of metallic additive manufactured parts, showcasing his commitment to advancing materials science. 🎓🔬

Prior to his Ph.D. journey, Payam excelled in his Master’s program at the same institution, earning his degree in September 2016 with a remarkable GPA of 18.70/20 (4/4). His master’s thesis delved into the prediction of softening kinetics for a cold-worked AA5052-SiCp composite, employing cellular automaton simulation techniques. Payam Seraj’s academic journey reflects his passion for pushing the boundaries of materials science and engineering. 📚💡

🌐 Professional Profiles :

Scopus

🧠Research Interests 🔬🌐 :

Mr. Payam Seraj is a dedicated researcher with a profound interest in cutting-edge areas of materials science and mechanics. His expertise spans across additive manufacturing systems, where he explores innovative techniques and technologies shaping the future of manufacturing. 🌐 His focus on computational and numerical materials science involves intricate multiscale modeling, providing insights into the complex interplay of materials at various levels. 🔍 Finite element modeling and simulation form a core aspect of his work, particularly in unraveling the intricacies of heat transfer and deformation processes. ⚙️ Additionally, Mr. Seraj delves into the mechanical and microstructural properties evolving during and after cold-hot metal deformation processes, contributing significantly to the understanding of material behavior under extreme conditions. 💪 His research extends to crucial areas such as fatigue, fracture mechanics, and solid mechanics, where he explores the fundamental aspects influencing material integrity and durability. 🛠️ Overall, Mr. Payam Seraj’s multifaceted research portfolio reflects a commitment to advancing the frontiers of materials science and mechanics, with a keen eye on technological innovation and real-world applications. 🌟

🏆 Awards and Honors :

Mr. Payam Seraj stands as a beacon of excellence in the field of materials science and engineering, adorned with a collection of prestigious awards and honors. 🏆 Recognized as an Exemplary Teacher Assistant in 2017 at Sharif University of Technology in Iran, he demonstrated exceptional dedication to imparting knowledge in the realm of Materials Science and Engineering. 🎓 Since 2016, his academic prowess has consistently shone, securing the top rank among all Ph.D. students in the same department, a testament to his unwavering commitment to scholarly pursuits. 🥇 The accolades extend to his master’s studies, where his outstanding capabilities were acknowledged with the “Exceptionally talented student” award by the office of exceptional talents at Sharif University of Technology in 2016. 🌟 Mr. Seraj’s impressive array of accolades reflects his continuous pursuit of excellence and his significant contributions to the academic community.

📚 Scopus Metrics:

  • 📝 Publications: 6 documents indexed in Scopus.
  • 📊 Citations: A total of 17 citations for his publications, reflecting the widespread impact and recognition of Mr. Payam Seraj’s research within the academic community.

Publications Top Notes  :

1.  Finite element heat transfer analysis in selective laser melting of AlSi10Mg alloy using bi-directional scan strategy: Enhanced thermal conductivity considerations

Journal: Journal of Materials Research and Technology

Published Year: 2023

2.  High strain rate deformation behavior, texture and microstructural evolution, characterization of adiabatic shear bands, and constitutive models in electron beam melted Ti-6Al-4V under dynamic compression loadings

Journal: Journal of Materials Research and Technology

Published Year: 2022

Citations: 2

3.  High strain rate torsional response of maraging steel parts produced by laser powder bed fusion techniques: Deformation behavior and constitutive model

Journal: Mechanics of Materials

Published Year: 2022

Citations: 2

4.  Characterization and statistical modeling of texture and microstructure evolution in dynamically fractured electron beam melted Ti-6Al-4V

Journal: Materialia

Published Year: 2022

Citations: 2

5.  Effect of building direction on high strain-rate compressive behavior of heat-treated LPBF-maraging steels using Split Hopkinson pressure bar apparatus

Journal: Materials Science and Engineering: A

Published Year: 2022

Citations: 7