Dr. Kodali Radha | Biomedical Speech Signal Processing | Best Researcher Award-duplicate-1

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Dr. Kodali Radha | Biomedical Speech Signal Processing | Best Researcher Award

Dr. University of Tennessee Health Science Center, United States

Dr. Kodali Radha is a postdoctoral fellow at The University of Tennessee Health Science Center with a Ph.D. in Speech Processing from VIT-AP University. Their research focuses on Automatic Speech Recognition and Paralinguistic Classification in non-native children and Augmented Reality-Based Speech Therapy for children with dysarthria and developmental verbal dyspraxia. Dr. [Your Name] has previously served as an Assistant Professor at Velagapudi Ramakrishna Siddhartha Engineering College and VIT-AP University. They also have experience as an AI & ML Research Intern at Qode-It. Dr. [Your Name] holds an M.Tech. in VLSI&ES and a B.Tech. in ECE from Jawaharlal Nehru Technological University Kakinada.

Professional profile

Google scholar

🎓 Education

VIT-AP University, Amaravati, India
Ph.D. (Internal Full-Time) in Speech Processing, CGPA: 8.9 (Mar. 2021–Jan. 2024)
– Current Research:Automatic Speech Recognition and Paralinguistic Classification in Non-Native Children (Language Assessment)Augmented Reality-Based Speech Therapy for Children with Dysarthria and Developmental Verbal Dyspraxia (Biomedical Signal Processing)NIT, Jawaharlal Nehru Technological University, Kakinada, India
M.Tech. in VLSI & ES, Aggregate: 81% (2015)PPDCET, Jawaharlal Nehru Technological University, Kakinada, India
B.Tech. in ECE, Aggregate: 75% (2012)Viveka Junior College, Tenali, AP, India
Intermediate in MPC, Aggregate: 94% (2008)Vijnana Vihara EM School, Nutakki, AP, India
SSC, Aggregate: 82% (2006)

đź’Ľ Experience

The University of Tennessee Health Science Center, Memphis, Tennessee, United States
Post Doctoral Fellow (May 2024–Current)Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India
Assistant Professor (Jun. 2023–Apr. 2024)Qode-It, Bengaluru, India
AI & ML Research Intern (Remote) (Dec. 2022–Mar. 2023)VIT-AP University, Amaravati, India
Assistant Professor Jr. (Aug. 2021–Jun. 2023)Dhanekula Institute of Engineering & Technology, Vijayawada, India
Assistant Professor (Nov. 2014–Present)

Publicationđź“ś

Closed-set Automatic Speaker Identification Using Multi-scale Recurrent Networks in Non-native Children
K. Radha, M. Bansal
International Journal of  Technology, 15(3), 1375-1385, 2023
Citations: 16

Audio Augmentation for Non-native Children’s Speech Recognition Through Discriminative Learning
K. Radha, M. Bansal
Entropy, 24(10), 1490, 2022
Citations: 15

Accent Classification of Native and Non-native Children Using Harmonic Pitch
K. Radha, M. Bansal, S.M. Shabber
2022 2nd International Conference on Artificial Intelligence and Signal Processing, 2022
Citations: 14

Feature Fusion and Ablation Analysis in Gender Identification of Preschool Children from Spontaneous Speech
K. Radha, M. Bansal
Circuits, Systems, and Signal Processing, 42(10), 6228-6252, 2023
Citations: 12

Towards Modeling Raw Speech in Gender Identification of Children Using SincNet Over ERB Scale
K. Radha, M. Bansal
International Journal of Speech Technology, 26(3), 651-663, 2023
Citations: 6

Speech and Speaker Recognition Using Raw Waveform Modeling for Adult and Children’s Speech: A Comprehensive Review
K. Radha, M. Bansal, R.B. Pachori
Engineering Applications of Artificial Intelligence, 131, 107661, 2024
Citations: 4

Automated Detection and Severity Assessment of Dysarthria Using Raw Speech
K. Radha, M. Bansal
2023 14th International Conference on Computing Communication and Networking Technologies, 2023
Citations: 4

Whitening Transformation of i-vectors in Closed-set Speaker Verification of Children
K. Radha, M. Bansal, R. Sharma
2023 10th International Conference on Signal Processing and Integrated Networks, 2023
Citations: 4

Non-native Children English Speech (NNCES) Corpus
K. Radha, M. Bansal
Kaggle, 2022
Citations: 4

A Review and Classification of Amyotrophic Lateral Sclerosis with Speech as a Biomarker
S. Shaik Mulla, M. Bansal, K. Radha
2023 14th International Conference on Computing Communication and Networking Technologies, 2023
Citations: 3

Automatic Speaker and Age Identification of Children from Raw Speech Using SincNet Over ERB Scale
K. Radha, M. Bansal, R.B. Pachori
Speech Communication, 103069, 2024
Citations: 2

Variable STFT Layered CNN Model for Automated Dysarthria Detection and Severity Assessment Using Raw Speech
K. Radha, M. Bansal, V.R. Dhulipalla
Circuits, Systems & Signal Processing, 2024
Citations: 2

Machine Learning-assisted Diagnosis of Speech Disorders: A Review of Dysarthric Speech
S.M. Shabber, M. Bansal, K. Radha
2023 International Conference on Electrical, Electronics, Communication and Computer Technologies, 2023
Citations: 2

Raw Waveform-Based Custom Scalogram CRNN in Cardiac Abnormality Diagnosis
K. Radha, M. Bansal, R. Sharma
IEEE Access, 12, 13986-14004, 2024
Citations: 1

Automatic Dysarthria Detection and Severity Level Assessment Using CWT-layered CNN Model
S. Sajiha, K. Radha, D.V. Rao, N. Sneha, S. Gunnam, D.P. Bavirisetti
EURASIP Journal on Audio, Speech, and Music Processing, 2024

System and Method for Speech Recognition in Children Using DirichNet
K. Radha, M. Bansal
IN Patent 202,441,036,477, 2024

Crop Prediction from Soil Parameters Using Light Ensemble Learning Model
B. Pujitha, K. Radha, K. Samitha, N. Prathyusha, P. Vasanthi
2024 11th International Conference on Signal Processing and Integrated Networks, 2024

Detecting Autism Spectrum Disorder from Raw Speech in Children Using STFT Layered CNN Model
K. Radha, D. Venkata Rao, K.V.K. Sai, R.T. Krishna, A. Munnera
2024 International Conference on Green Energy, Computing and Sustainable Technology, 2024

Yao Sun | Wireless Communication | Best Researcher Award

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🌟Dr. Yao Sun, Wireless Communication, Best Researcher Award🏆

  • Doctorate at University of Glasgow, United Kingdom 

Dr. Yao Sun is a Lecturer at the James Watt School of Engineering at the University of Glasgow, UK. He holds a PhD in Communication and Information System from the University of Electronic Science and Technology of China (UESTC) and a Bachelor’s degree in Mathematical Science from the same institution. Dr. Sun’s research focuses on wireless networking, particularly in areas such as semantic communication, blockchain-enabled wireless networks, and network slicing technology. He has received several awards for his research contributions, including the IEEE Internet of Things Journal Best Paper Award and the Best Paper Award from the IEEE Communication Society of TAOS.

Author Metrics

Dr. Sun’s research contributions have been recognized with author metrics such as having one journal paper selected by Web of Science as a highly cited paper (top 1% in citation) and hot paper (top 0.1% in citation).

Scopus Profile

Google Scholar Profile

Dr. Yao Sun is a researcher affiliated with the University of Glasgow in the United Kingdom. His work has garnered significant attention, evidenced by 947 citations across 793 documents, indicating the influence and relevance of his research within his field. With an h-index of 14, Dr. Sun has demonstrated both productivity and impact, as this metric reflects the number of his papers that have received at least 14 citations each.

Education

Dr. Yao Sun completed his PhD in Communication and Information System at UESTC, a top university in China. He also holds a Bachelor’s degree in Mathematical Science from UESTC.

Research Focus

Dr. Sun’s research primarily focuses on wireless networking, with specific interests in semantic communication for future wireless intelligence, blockchain-enabled wireless networks, and network slicing technology for 5G and beyond systems.

Professional Journey

After completing his PhD, Dr. Sun worked as a research fellow at UESTC before joining the University of Glasgow as a Lecturer. Throughout his career, he has actively participated in various research projects as a principal investigator or co-investigator, securing funding for projects such as semantic communication for wireless intelligence and video transmission via semantic communication approach.

Honors & Awards

Dr. Sun has received several prestigious awards for his research contributions, including the IEEE Internet of Things Journal Best Paper Award in 2022, the Best Paper Award from the IEEE Communication Society of TAOS in 2019, and the Best Paper Award from the IEEE 22nd International Conference on Communication Technology in 2022.

Research Timeline

Dr. Yao Sun’s research journey spans from his time as a graduate student to his current position as a Lecturer at the University of Glasgow. He has been actively involved in various research projects, securing funding, publishing papers, and receiving recognition for his contributions to the field of wireless networking.

Publications Top Noted & Contributions

Dr. Yao Sun has authored over 80 publications, including IEEE transaction papers, top conference papers, books, and book chapters. He has also served as a guest editor for special issues in IEEE international journals and as an associate editor for Springer Nature Scientific Reports.

Title: Blockchain-enabled wireless Internet of Things: Performance analysis and optimal communication node deployment
Authors: Y. Sun, L. Zhang, G. Feng, B. Yang, B. Cao, MA Imran
Journal: IEEE Internet of Things Journal
Year: 2019
Cited By: 227

Title: Intelligent resource scheduling for 5G radio access network slicing
Authors: M. Yan, G. Feng, J. Zhou, Y. Sun, YC Liang
Journal: IEEE Transactions on Vehicular Technology
Year: 2019
Cited By: 167

Title: The SMART handoff policy for millimeter-wave heterogeneous cellular networks
Authors: Y. Sun, G. Feng, S. Qin, YC Liang, TSP Yum
Journal: IEEE Transactions on Mobile Computing
Year: 2017
Cited By: 106

Title: Network slice reconfiguration by exploiting deep reinforcement learning with large action space
Authors: F. Wei, G. Feng, Y. Sun, Y. Wang, S. Qin, YC Liang
Journal: IEEE Transactions on Network and Service Management
Year: 2020
Cited By: 92

Title: Device association for RAN slicing based on hybrid federated deep reinforcement learning
Authors: YJ Liu, G. Feng, Y. Sun, S. Qin, YC Liang
Journal: IEEE Transactions on Vehicular Technology
Year: 2020
Cited By: 15731

Mahdieh Ghasemlou | Wireless Communications | Best Researcher Award

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🌟Mrs. Mahdieh Ghasemlou, Wireless Communications, Best Researcher Award🏆

Birjand, Iran

Professional Profiles:

Bio Summary:

Mahdieh Ghasemlou is a dedicated researcher and Ph.D. student in Electrical Engineering-Communications Technology at the University of Birjand, Iran. With a focus on wireless communications, ultra-wideband (UWB) technologies, signal processing, NOMA systems, and resource management, she has contributed significantly to the field. Her academic journey includes a Master’s degree in Electrical Engineering-Communications from Islamic Azad University Tehran and a Bachelor’s degree in Electrical Engineering from the University of Guilan.

Education:

Ph.D. student in Electrical Engineering-Communications Technology, University of Birjand, Iran.

  • Thesis: NOMA multi-user transceivers for 5G mobile communication networks.
  • Supervisors: Dr. Nasser Neda and Dr. Jalil Seifali Harsini.

Master of Science, Electrical Engineering-Communications, Islamic Azad University Tehran South branch, Tehran, Iran, February 2013.

  • Thesis: Improvement of UWB Ranging Methods in Multipath channels and in the presence of Interference.
  • Supervisor: Prof. Said Nader-Esfahani.

Bachelor of Science, Electrical Engineering, University of Guilan, September 2008.

Research Focus:

Wireless Communications

Ultra-wideband (UWB) Communications

Ranging and Localization Techniques

Signal Processing

NOMA Systems

Resource Management

Professional Journey:

Mahdieh Ghasemlou’s professional journey is characterized by her pursuit of advanced knowledge and expertise in the field of Electrical Engineering-Communications. Her roles include being a Ph.D. student at the University of Birjand, contributing to cutting-edge research, and actively engaging in the academic community.

Publications Top Noted & Contributions:

“A novel resource allocation scheme for full-duplex NOMA systems with power splitting-based SWIPT,” Physical Communication, December 2023.

“Multi-Layer Perceptrons and Conventional Adaptive Filters for Channel Estimation in CDMA System,” The 2011 International conference on Artificial Intelligence (ICAI’11), WORLDCOMP 2011.

An Improved Method for TOA Estimation in TH-UWB System considering Multipath Effects and Interference

  • Authors: M Ghasemlou, SN ESFAHANI, VV TABATABA
  • Journal: Journal of Information Systems and Telecommunication (JIST)
  • Year: 2014
  • Cited By: 2

A New Method of TOA Estimation in TH_UWB Systems with Multipath Channel and in the Presence of interference

  • Authors: M Ghasemlou, ES NADER
  • Conference: Iranian Conference on Electrical Engineering
  • Year: 21
  • Cited By: 1-6