BMFLC with neural network and DE for better event classification. - Yubo Wang 001; Venkateswarlu Gonuguntla; Ghufran Shafiq; Kalyana C. Veluvolu (BCI, 2013)

Phase synchrony in subject-specific reactive band of EEG for classification of motor imagery tasks. - Venkateswarlu Gonuguntla; Y. Wang; Kalyana C. Veluvolu (EMBC, 2013)

Performance Comparison of Spatial Filter with Multiple BMFLCs for BCI Applications. - Yubo Wang 001; Venkateswarlu Gonuguntla; Ghufran Shafiq; Kalyana C. Veluvolu (ICONIP (1), 2013)

EEG classification of emotions using emotion-specific brain functional network. - Venkateswarlu Gonuguntla; Ghufran Shafiq; Yubo Wang 001; Kalyana C. Veluvolu (EMBC, 2015)

Human implicit intent recognition based on the phase synchrony of EEG signals. - Jun-Su Kang; Ukeob Park; Venkateswarlu Gonuguntla; Kalyana Chakravarthy Veluvolu; Minho Lee 001 (Pattern Recognit. Lett., 2015)

Identification of emotion associated brain functional network with phase locking value. - Venkateswarlu Gonuguntla; Rammohan Mallipeddi; Kalyana C. Veluvolu (EMBC, 2016)

Event-Related Functional Network Identification: Application to EEG Classification. - Venkateswarlu Gonuguntla; Yubo Wang 001; Kalyana C. Veluvolu (IEEE J. Sel. Top. Signal Process., 2016)

A Low-power Low-noise Open-loop Configured Signal Folding Neural Recording Amplifier. - Gauri Punekar; Venkateswarlu Gonuguntla; Yellappa Palagani; Jun Rim Choi; Ramesh Vaddi (ISOCC, 2018)

Identification of Dementia Related Brain Functional Networks with Minimum Spanning Trees. - Abdulyekeen T. Adebisi; Venkateswarlu Gonuguntla; Ho-Won Lee; Kalyana C. Veluvolu (BIBM, 2020)

EEG-Based Functional Connectivity Representation using Phase Locking Value for Brain Network Based Applications. - Venkateswarlu Gonuguntla; Jae-Hun Kim (EMBC, 2020)

EEG based Functional Connectivity Analysis of Alzheimer's Disease Subjects. - P. P. Vijayakumaran; Daijiry Narzary; Venkateswarlu Gonuguntla; Ho-Won Lee; Kalyana C. Veluvolu (ICAIIC, 2020)

Classification of Dementia Associated Disorders Using EEG based Frequent Subgraph Technique. - Abdulyekeen T. Adebisi; Venkateswarlu Gonuguntla; Ho-Won Lee; Kalyana C. Veluvolu (ICDM (Workshops), 2020)

Recognition of Event-associated Brain Functional Networks in EEG for Brain Network Based Applications. - Venkateswarlu Gonuguntla; Kalyana C. Veluvolu; Jae-Hun Kim (ISBI, 2020)

A Low Voltage Discriminant Circuit for Pattern Recognition Exploiting the Asymmetrical Characteristics of Tunnel FET. - Aditya Japa; Yellappa Palagani; Venkateswarlu Gonuguntla; Manoj Kumar Majumder; Subhendu Kumar Sahoo; Jun Rim Choi; Ramesh Vaddi (ISCAS, 2020)

Differential Identification of Prodromal Stages of Alzheimer's Disease Using Tissue Probability Map (TPM) based Network. - Abdulyekeen T. Adebisi; Venkateswarlu Gonuguntla; Ho-Won Lee; Kalyana C. Veluvolu (BIBM, 2021)

Network based Identification of Dementia Onsets Using Structural MRI Network Signature. - Abdulyekeen T. Adebisi; Venkateswarlu Gonuguntla; Ho-Won Lee; Myong-Hun Hahm; Kalyana C. Veluvolu (BIBM, 2022)

Low-Complexity RR Interval-Based Cardiac Dysrhythmia Indicator for Wearable ECG Devices. - Yellappa Palagani; Venkateswarlu Gonuguntla (SMC, 2024)

Utilizing YOLO Models for Real-World Scenarios: Assessing Novel Mixed Defect Detection Dataset in PCBs. - Vinod Kumar Ancha; Fadi N. Sibai; Venkateswarlu Gonuguntla; Ramesh Vaddi (IEEE Access, 2024)

FeSATLock: An Energy Efficient and SAT Attack Resilient Logic Locking Design With FeFET LUT Architecture for Enhanced Hardware Security. - Tirumalarao Kadiyam; Venu Birudu; Aditya Japa; Fadi N. Sibai; Venkateswarlu Gonuguntla; Ramesh Vaddi (IEEE Access, 2025)

TRSBi-YOLO: Transformer based lightweight and high-performance model for PCB defects detection. - Vinod Kumar Ancha; Venkateswarlu Gonuguntla; Ramesh Vaddi (J. Supercomput., 2025)