Vishwanath Shervegar | Engineering | Best Researcher Award

Dr. Vishwanath Shervegar | Engineering | Best Researcher Award

Moodlakatte Institute of Technology Kundapura | India

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Early Academic Pursuits

Dr. Vishwanath Shervegar began his academic journey with a strong foundation in Electronics and Communication Engineering, which was nurtured at the undergraduate level. His pursuit of advanced studies led him to complete a postgraduate program in Digital Electronics and Advanced Communication, where he honed his expertise in applied electronics. His doctoral research in Biomedical Signal Processing marked a significant milestone, reflecting his deep commitment to bridging the gap between electronics and healthcare applications. These formative years shaped his academic curiosity, laying the groundwork for a career dedicated to innovation in biomedical instrumentation and computational methods.

Professional Endeavors

His professional career has been marked by consistent growth within the field of Electronics and Communication Engineering. Beginning as a lecturer, Dr. Shervegar steadily advanced through academic ranks, gaining experience across reputed institutions. His journey includes long-term service as an Assistant and Associate Professor before taking on the role of Professor at the Moodlakatte Institute of Technology. Alongside his teaching responsibilities, he has contributed to curriculum development, placement coordination, and mentorship, creating a strong academic environment that supports both research and student success. His professional endeavors highlight a balance between educational leadership and research advancement.

Contributions and Research Focus

The central focus of Dr. Shervegar’s research lies in biomedical signal processing, where he has developed novel methods for the analysis, classification, and denoising of phonocardiogram signals. His work demonstrates an integration of artificial intelligence and machine learning techniques with healthcare diagnostics, making significant contributions to cardiac signal processing and intelligent biomedical instrumentation. He has authored impactful research publications in reputed journals and contributed to book chapters that expand the scope of medical science and engineering integration. His innovative approaches, such as adaptive filtering techniques and wavelet scattering transforms, have advanced the precision and reliability of heart sound analysis.

Accolades and Recognition

Dr. Shervegar has earned recognition for his scholarly contributions through publications in highly indexed international journals and books published by leading academic publishers. His doctoral and postgraduate theses remain available in digital repositories, reflecting the academic value of his research. He has also been entrusted with responsibilities as a reviewer for multiple prestigious international journals from Elsevier and Springer, and has served as a technical program committee member for IEEE international conferences. His membership with the Institution of Electrical and Electronics Engineers as a senior member and his life membership with the Indian Society for Technical Education further highlight his professional stature.

Impact and Influence

Beyond his research contributions, Dr. Shervegar has had a significant impact on academic and research communities. His participation in international conferences, workshops, and faculty development programs has provided platforms to share knowledge and exchange innovative ideas with peers across the globe. By organizing workshops on signal and image processing using Python and participating in collaborative programs with institutions like IIT Madras and Binghamton University, he has fostered a culture of interdisciplinary learning. His mentorship has influenced many young researchers and students, inspiring them to pursue careers in electronics, biomedical engineering, and computational technologies.

Legacy and Future Contributions

The legacy of Dr. Shervegar lies in his contributions to integrating technology with healthcare solutions, particularly in the domain of biomedical signal processing. His research on phonocardiography stands as a pioneering effort in redefining cardiac auscultation with the support of artificial intelligence. Looking ahead, his focus on developing advanced algorithms, intelligent healthcare systems, and machine learning-based biomedical instruments is expected to shape the future of diagnostic methodologies. With his continuing academic leadership and dedication to interdisciplinary research, his future contributions promise to influence both the scientific and medical communities on a broader scale.

Publications


Article: Heart Sound Classification Technique for Early CVD Detection using Improved Wavelet Time Scattering and Discriminant Analysis Classifiers
Author: Vishwanath Madhava Shervegar
Journal: Informatics and Health
Year: 2025


Article: Event Synchronous Segmentation of Phonocardiogram – A New Frontier to Heart Sound Delineation
Author: Vishwanath Madhava Shervegar
Journal: Medicine and Medical Research: New Perspectives
Year: 2024


Article/Book Chapter: Sliding Window Adaptive Filter for Denoising PCG Signals
Authors: Vishwanath Madhava Shervegar, Jagadish Nayak
Book: 5G-Based Smart Hospitals and Healthcare Systems: Evaluation, Integration, and Deployment
Year: 2023


Book: 5G-Based Smart Hospitals and Healthcare Systems: Evaluation, Integration, and Deployment
Authors: Arun Kumar, Sumit Chakravarty, Mohit Kumar Sharma
Publisher: CRC Press
Year: 2023


Preprint Article: Continuous Wavelet Transform based Phonocardiogram Delineation Method
Contributor: Vishwanath Madhava Shervegar
Source: Europe PubMed Central (Preprint DOI: 10.21203/rs.3.rs-1416616/v1)
Year: 2022


Conclusion

In conclusion, Dr. Vishwanath Shervegar’s career exemplifies the meaningful integration of electronics, communication, and medical science, with his impactful research in biomedical signal processing and machine learning leaving a lasting influence on healthcare technology and continuing to drive innovation in the years to come.

Xiaoya Wang | Computer Science | Best Researcher Award

Ms. Xiaoya Wang | Computer Science | Best Researcher Award

Beijing University of Posts and Telecommunications | China

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🎓 Early Academic Pursuits

Ms. Xiaoya Wang began her academic journey with a strong foundation in electronics and communication. In 2005, she earned her Master’s degree in Communication and Information Systems from the prestigious Xi’an University of Electronic Science and Technology. Demonstrating an enduring passion for advanced research, she is currently pursuing her Ph.D. at Beijing University of Posts and Telecommunications, specializing in areas crucial to the future of signal intelligence and communications.

🏢 Professional Endeavors

Ms. Wang holds the position of Researcher at the 54th Research Institute of China Electronics Technology Group Corporation (CETC). This institute is renowned for pioneering developments in electronic systems and defense-related technologies. Within this dynamic environment, Ms. Wang plays a pivotal role in pushing forward the frontiers of signal processing and intelligent data processing, contributing to both national-level projects and global innovations.

🔬 Contributions and Research Focus

Ms. Wang’s research is deeply rooted in modulation recognition, signal feature extraction, and integrated sensing and communication (ISAC). She has co-authored impactful publications, including:

📘 "Multi-Feature AND–OR Mechanism for Explainable Modulation Recognition" in Electronics (2025), which offers insights into machine explainability in modulation recognition frameworks.
📗 "RF Signal Feature Extraction in Integrated Sensing and Communication" published in IET Signal Processing (2023), a study enhancing the performance of RF signal analysis under ISAC architectures.

Her contributions emphasize intelligent interpretation of signals, integrating machine learning mechanisms with real-time communication systems.

🏆 Accolades and Recognition

Though currently pursuing her Ph.D., Ms. Wang has already earned recognition for her innovative research and has been published in highly regarded peer-reviewed journals such as Electronics and IET Signal Processing. Her collaborative work with experts like Songlin Sun and Haiying Zhang further illustrates her influence in multidisciplinary research teams.

🌐 Impact and Influence

Ms. Wang’s research holds strategic importance in enhancing signal intelligence, particularly in military communication systems and next-gen wireless technologies. Her work bridges theoretical models with real-world applicability, making signal analysis more transparent, reliable, and intelligent. Her development of explainable AI mechanisms in signal processing is especially vital for defense and critical communication infrastructures.

🌟 Legacy and Future Contributions

As she continues her doctoral studies and deepens her involvement in cutting-edge research, Ms. Xiaoya Wang is poised to be a leading force in intelligent signal processing. Her legacy will likely lie in making signal systems more secure, adaptive, and interpretable, laying the groundwork for smart communication systems of the future. Her forward-thinking approach ensures she will remain a vital contributor to both academic advancement and industrial innovation.

Publications


📄 Multi-Feature AND–OR Mechanism for Explainable Modulation Recognition
Authors: Xiaoya Wang, Songlin Sun, Haiying Zhang, Yuyang Liu, Qiang Qiao
Journal: Electronics
Publication Year: 2025


📄 RF Signal Feature Extraction in Integrated Sensing and Communication
Authors: Xiaoya Wang, Songlin Sun, Haiying Zhang, Qiang Liu, Sourabh Sahu
Journal: IET Signal Processing
Publication Year: 2023


Minoo Eghtesadi | Engineering | Best Researcher Award

Mrs. Minoo Eghtesadi | Engineering | Best Researcher Award

University of Catania | Italy

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Early Academic Pursuits 🎓

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

Professional Endeavors 💼

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

Contributions and Research Focus 🔬

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

Accolades and Recognition 🏆

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

Impact and Influence 🌍

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

Legacy and Future Contributions 🔮

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

 

Publications 📚


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


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


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


 

Mullangi Vinod kumar | Engineering | Best Researcher Award

Mr. Mullangi Vinod kumar | Engineering | Best Researcher Award

Sri Vasavi Engineering College | India

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Early Academic Pursuits

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

Professional Endeavors

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

Contributions and Research Focus

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

Accolades and Recognition

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

Impact and Influence

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

Legacy and Future Contributions

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

 

Notable Publications

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

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

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

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

 

 

Soham Ghosh | Engineering | Best Researcher Award

Mr. Soham Ghosh | Engineering | Best Researcher Award

Jadavpur University | India

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Early Academic Pursuits

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

Professional Endeavors

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

Contributions and Research Focus

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

* Microstrip Antenna Design

* Implantable and Wearable Antennas

* Phantom Liquid Development

* Artificial Neural Networks

* Wireless Communication

* Terahertz Antenna Design

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

Accolades and Recognition

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

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

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

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

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

Impact and Influence

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

Legacy and Future Contributions

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

 

Notable Publications

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

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

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

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

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

 

 

 

 

 

 

Bashir Olaniy Sadiq | Engineering | Best Researcher Award

Dr. Bashir Olaniy Sadiq | Engineering | Best Researcher Award

Kampala International University | Uganda

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Early Academic Pursuits

Dr. Bashir Olaniyi Sadiq embarked on his academic journey with a Bachelor's degree in Electrical Engineering from Ahmadu Bello University Zaria in 2011. He continued his academic pursuits with a Master's degree in Computer Engineering from the same institution, focusing on the development of an Improved Edge Detection Algorithm for Noisy Colored Images using Particle Swarm Optimization. Dr. Sadiq pursued his Ph.D. in Computer Engineering at Ahmadu Bello University Zaria, where his research centered on the Development of a Routing Protocol and Link Connectivity Algorithm for Light Fidelity-Based Indoor Flying Adhoc Network.

Professional Endeavors

Dr. Sadiq's professional journey showcases a progression through various academic and administrative roles. He began as an Assistant Lecturer at Ahmadu Bello University Zaria in 2013, gradually ascending to higher positions. Over the years, he served as Lecturer II, Lecturer I, and Senior Lecturer at the same institution, where he engaged in research, teaching, and administrative duties within the Department of Electrical and Computer Engineering. Subsequently, he assumed the role of Senior Lecturer at Kampala International University, Uganda, where he also serves as the Director of ICT.

Contributions and Research Focus

Dr. Sadiq's research focus spans Computer Communications, Image Processing, Adhoc Networks, and Computer Engineering Applications. He has made significant contributions to the development of an improved communication link for FANETs using Light Fidelity and various image processing algorithms. His research endeavors have led to the development of innovative solutions in Smart Agriculture, IoT, and Applied Machine Learning.

Accolades and Recognition

Dr. Sadiq's dedication to excellence has been recognized through several prestigious awards and scholarships, including the Tertiary Education Trust Fund (TETFUND) IBR grant, the Best Huawei ICT Instructor Award, and the Petroleum Development Trust Fund (PTDF) Ph.D. scholarship. These accolades underscore his commitment to advancing both research and teaching in the field of Computer Engineering.

Impact and Influence

Dr. Sadiq's influence extends beyond his research contributions to his mentorship and leadership qualities. He has mentored numerous undergraduate and postgraduate students, fostering their research skills and academic growth. As an academic leader, he has overseen ICT directorates, supervised research projects, and implemented innovative teaching methodologies.

Legacy and Future Contributions

Dr. Sadiq's legacy is characterized by his dedication to academic excellence, research innovation, and mentorship. His future contributions are poised to further advance the fields of Computer Engineering and Information and Communication Technology (ICT). Through his ongoing research endeavors, mentorship initiatives, and administrative roles, he continues to inspire the next generation of scholars and researchers in the domain of Computer Engineering.

 

Notable Publications

High-tech herding: Exploring the use of IoT and UAV networks for improved health surveillance in dairy farm system 2024

Performance Analysis of Various Image Feature Extractor Filters for Pothole Anomaly Classification 2024

Review of Error Correction in 2D Shingled Magnetic Detection 2023

Energy-aware message distribution algorithm for enhance FANET pipeline surveillance reliability 2023 

SIFT-CNN Pipeline in Livestock Management: A Drone Image Stitching Algorithm 2023 (2)

 

 

 

 

Seungmin Lee | Engineering | Best Researcher Award

Mr. Seungmin Lee | Engineering | Best Researcher Award

Wifi MAC Standards&SW Team in Newratek at Seoul | South Korea

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Early Academic Pursuits

Mr. Seungmin Lee embarked on his academic journey at Hankyong National University, where he pursued a Bachelor's degree in Electronic and Electrical Control Engineering. His thirst for knowledge and dedication to his field led him to pursue a Master's degree in the same discipline, where he worked under the guidance of Professor Howon Lee.

Professional Endeavors

With a solid educational foundation, Mr. Lee ventured into the professional realm, joining the WiFi MAC Standards and Software Development Team at Newratek in March 2023. His journey into the industry has been marked by a series of notable achievements and contributions.

Contributions and Research Focus

Mr. Lee's research interests center around cutting-edge topics in wireless communications, including B5G/6G wireless communications, three-dimensional mobile communication networks, reinforcement learning for UAV/satellite networks, and next-generation 802.11 networks. His groundbreaking work has been published in prestigious international and domestic journals, showcasing his innovative contributions to the field.

Accolades and Recognition

Mr. Lee's remarkable contributions have not gone unnoticed, earning him several prestigious awards and accolades. These include the Haedong Best Paper Award from the Korean Institute of Communications and Information Sciences (KICS) in 2022, the Best Paper Award from the Institute of Electronics and Information Engineers (IEIE) Scholarship Symposium in 2021, and the Best Paper Award from the Korean Institute of Communications and Information Sciences (KICS) Winter Conference in 2020.

Impact and Influence

Mr. Lee's research has had a significant impact on the field of wireless communications, paving the way for advancements in energy efficiency, network optimization, and user experience. His work has not only expanded the horizons of knowledge but has also inspired fellow researchers and industry professionals to explore new frontiers in the field.

Legacy and Future Contributions

As Mr. Lee continues to push the boundaries of wireless communications through his research and contributions, his legacy grows stronger with each milestone achieved. His dedication to innovation and excellence promises a future filled with groundbreaking discoveries and advancements that will shape the landscape of wireless communications for years to come.

Notable Publications

MUSCAT: Distributed multi-agent Q-learning-based minimum span channel allocation technique for UAV-enabled wireless networks 2024

Distributed Deep Reinforcement Learning-Based Energy Efficiency Maximization in 3D Cellular Networks 2023

Performance Analysis of Cooperative Dynamic Framed Slotted-ALOHA With Random Transmit Power Control in A2G Communication Networks 2022 (1)

Optimal Frequency Reuse and Power Control in Multi-UAV Wireless Networks: Hierarchical Multi-Agent Reinforcement Learning Perspective 2022 (4)

Multiagent Q-Learning-Based Multi-UAV Wireless Networks for Maximizing Energy Efficiency: Deployment and Power Control Strategy Design 2021 (29)

 

 

 

 

Nam-Phuong Tran | Computer Science | Best Researcher Award

Mr. Nam-Phuong Tran | Computer Science | Best Researcher Award

Chung-Ang University | South Korea

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Early Academic Pursuits

Mr. Nam-Phuong Tran began his academic journey at Hanoi University of Science and Technology, Vietnam, where he pursued a Bachelor of Engineering in Computer Science, completing it from August 2015 to June 2020. His thesis, "Spatio-Temporal Dynamics of the Labor Market," showcased his early dedication to research. Subsequently, he pursued an MSc of Science in Computer Science at Chung-Ang University, Seoul, Korea, focusing on QoE Management for Video Streaming Systems over IRS-aided RSMA Networks under the guidance of Professor Sungrae Cho.

Professional Endeavors

Tran has diversified professional experience, ranging from software engineering to research roles. He worked as a Software Engineer at Viettel Digital Service and as a Graduate Research Assistant at the Ultra-Intelligent Computing/Communication Lab, Chung-Ang University. Additionally, he has served as a Software Developer, Data Scientist Intern, and Undergraduate Research Assistant, gaining exposure to various facets of computer science and engineering.

Contributions and Research Focus

Tran's research primarily revolves around improving Quality of Experience (QoE) in communication networks, focusing on topics such as wireless resource allocation, bitrate adaptation, and low-latency protocols. His expertise spans intelligent reflecting surfaces, rate-splitting multiple access, IoT, deep learning, reinforcement learning, federated learning, and multimedia over wireless networks. He has also delved into big data analytics, including data crawling, mining, visualization, and predictive analytics.

Accolades and Recognition

Tran's dedication to academia has been acknowledged through numerous awards and scholarships, including the Chung-Ang University Young Scientist Scholarship, Brain Korea 21 Graduate School Research Scholarship, Daewoong AI Big Data Scholarship, and the Shinhan Bank Scholarship. He has also received recognition for his programming skills and outstanding thesis presentation.

Impact and Influence

Tran's research contributions, particularly in the realm of improving QoE in communication systems, have the potential to influence the development of more efficient and user-centric network protocols. His work in wireless resource allocation, bitrate adaptation, and low-latency protocols could lead to significant advancements in multimedia streaming, IoT, and metaverse applications, shaping the future of communication technologies.

Legacy and Future Contributions

Tran's legacy may lie in his interdisciplinary approach to addressing challenges in communication networks and big data analytics. His research outputs and professional endeavors are poised to contribute to advancements in wireless communication, machine learning applications, and data-driven decision-making. With his demonstrated commitment to excellence and innovation, he is likely to continue making notable contributions to the field of computer science and engineering, both in academia and industry.

Notable Publications

Joint wireless resource allocation and bitrate adaptation for QoE improvement in IRS-aided RSMA-enabled IoMT streaming systems 2024

Privacy-Preserving Traffic Flow Prediction: A Split Learning Approach 2023

Delay-constrained quality maximization in RSMA-based video streaming networks 2022

A Survey on Intelligent Reflecting Surface-aided Non-Orthogonal Multiple Access Networks 2022

A Survey on Passive Beamforming using Statistical State Information in Intelligent Reflecting Surface Assisted Networks 2022