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Ngan V Ngo

Examiner (ID: 15969, Phone: (571)272-1711 , Office: P/2819 )

Most Active Art Unit
2503
Art Unit(s)
2819, 2811, 2893, 2818, 2814, 2503
Total Applications
3475
Issued Applications
2893
Pending Applications
46
Abandoned Applications
536

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 17885309 [patent_doc_number] => 20220300786 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-09-22 [patent_title] => AUDIO-VISUAL ACTIVITY SAFETY RECOMMENDATION WITH CONTEXT-AWARE RISK PROPORTIONAL PERSONALIZED FEEDBACK [patent_app_type] => utility [patent_app_number] => 17/207635 [patent_app_country] => US [patent_app_date] => 2021-03-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7645 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 114 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17207635 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/207635
AUDIO-VISUAL ACTIVITY SAFETY RECOMMENDATION WITH CONTEXT-AWARE RISK PROPORTIONAL PERSONALIZED FEEDBACK Mar 19, 2021 Pending
Array ( [id] => 17885545 [patent_doc_number] => 20220301022 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-09-22 [patent_title] => METHODS AND SYSTEMS FOR GENERATING REAL-TIME RECOMMENDATIONS USING MACHINE LEARNING MODELS [patent_app_type] => utility [patent_app_number] => 17/207569 [patent_app_country] => US [patent_app_date] => 2021-03-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 15495 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 217 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17207569 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/207569
METHODS AND SYSTEMS FOR GENERATING REAL-TIME RECOMMENDATIONS USING MACHINE LEARNING MODELS Mar 18, 2021 Pending
Array ( [id] => 17084570 [patent_doc_number] => 20210279577 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-09-09 [patent_title] => Testing of Computing Processes Using Artificial Intelligence [patent_app_type] => utility [patent_app_number] => 17/192651 [patent_app_country] => US [patent_app_date] => 2021-03-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 16454 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -27 [patent_words_short_claim] => 120 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17192651 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/192651
Testing of Computing Processes Using Artificial Intelligence Mar 3, 2021 Pending
Array ( [id] => 17839888 [patent_doc_number] => 20220277193 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-09-01 [patent_title] => GROUND TRUTH DATA GENERATION FOR DEEP NEURAL NETWORK PERCEPTION IN AUTONOMOUS DRIVING APPLICATIONS [patent_app_type] => utility [patent_app_number] => 17/187350 [patent_app_country] => US [patent_app_date] => 2021-02-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 28001 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 156 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17187350 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/187350
GROUND TRUTH DATA GENERATION FOR DEEP NEURAL NETWORK PERCEPTION IN AUTONOMOUS DRIVING APPLICATIONS Feb 25, 2021 Pending
Array ( [id] => 17779153 [patent_doc_number] => 20220245503 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-08-04 [patent_title] => TRAINING A POLICY MODEL FOR A ROBOTIC TASK, USING REINFORCEMENT LEARNING AND UTILIZING DATA THAT IS BASED ON EPISODES, OF THE ROBOTIC TASK, GUIDED BY AN ENGINEERED POLICY [patent_app_type] => utility [patent_app_number] => 17/161845 [patent_app_country] => US [patent_app_date] => 2021-01-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12955 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 163 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17161845 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/161845
TRAINING A POLICY MODEL FOR A ROBOTIC TASK, USING REINFORCEMENT LEARNING AND UTILIZING DATA THAT IS BASED ON EPISODES, OF THE ROBOTIC TASK, GUIDED BY AN ENGINEERED POLICY Jan 28, 2021 Pending
Array ( [id] => 17779075 [patent_doc_number] => 20220245425 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-08-04 [patent_title] => KNOWLEDGE GRAPH EMBEDDING USING GRAPH CONVOLUTIONAL NETWORKS WITH RELATION-AWARE ATTENTION [patent_app_type] => utility [patent_app_number] => 17/161933 [patent_app_country] => US [patent_app_date] => 2021-01-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6745 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 84 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17161933 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/161933
KNOWLEDGE GRAPH EMBEDDING USING GRAPH CONVOLUTIONAL NETWORKS WITH RELATION-AWARE ATTENTION Jan 28, 2021 Pending
Array ( [id] => 16827614 [patent_doc_number] => 20210142907 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-05-13 [patent_title] => System for Surgical Decisions Using Deep Learning [patent_app_type] => utility [patent_app_number] => 17/156705 [patent_app_country] => US [patent_app_date] => 2021-01-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8111 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -13 [patent_words_short_claim] => 136 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17156705 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/156705
System for Surgical Decisions Using Deep Learning Jan 24, 2021 Pending
Array ( [id] => 16980358 [patent_doc_number] => 20210224595 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-07-22 [patent_title] => COMPUTER IMPLEMENTED METHOD AND DEVICE FOR CLASSIFYING DATA [patent_app_type] => utility [patent_app_number] => 17/143025 [patent_app_country] => US [patent_app_date] => 2021-01-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 3679 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -9 [patent_words_short_claim] => 161 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17143025 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/143025
COMPUTER IMPLEMENTED METHOD AND DEVICE FOR CLASSIFYING DATA Jan 5, 2021 Pending
Array ( [id] => 17690970 [patent_doc_number] => 20220198263 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-23 [patent_title] => TIME SERIES ANOMALY DETECTION [patent_app_type] => utility [patent_app_number] => 17/133222 [patent_app_country] => US [patent_app_date] => 2020-12-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10074 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 200 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17133222 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/133222
TIME SERIES ANOMALY DETECTION Dec 22, 2020 Pending
Array ( [id] => 17302136 [patent_doc_number] => 20210397975 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-12-23 [patent_title] => PERFORMING HYPERPARAMETER TUNING OF MODELS IN A MASSIVELY PARALLEL DATABASE SYSTEM [patent_app_type] => utility [patent_app_number] => 17/124200 [patent_app_country] => US [patent_app_date] => 2020-12-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5907 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 110 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17124200 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/124200
PERFORMING HYPERPARAMETER TUNING OF MODELS IN A MASSIVELY PARALLEL DATABASE SYSTEM Dec 15, 2020 Pending
Array ( [id] => 17023968 [patent_doc_number] => 20210247839 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-08-12 [patent_title] => ON-CHIP VOLTAGE ASSIGNMENT THROUGH PARTICLE SWARM OPTIMIZATION [patent_app_type] => utility [patent_app_number] => 17/271121 [patent_app_country] => US [patent_app_date] => 2019-09-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13562 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [patent_words_short_claim] => 73 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17271121 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/271121
ON-CHIP VOLTAGE ASSIGNMENT THROUGH PARTICLE SWARM OPTIMIZATION Sep 2, 2019 Pending
Array ( [id] => 17040431 [patent_doc_number] => 20210257067 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-08-19 [patent_title] => STATE TRANSITION PREDICTION DEVICE, AND DEVICE, METHOD, AND PROGRAM FOR LEARNING PREDICTIVE MODEL [patent_app_type] => utility [patent_app_number] => 17/271177 [patent_app_country] => US [patent_app_date] => 2019-08-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7163 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -3 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17271177 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/271177
STATE TRANSITION PREDICTION DEVICE, AND DEVICE, METHOD, AND PROGRAM FOR LEARNING PREDICTIVE MODEL Aug 21, 2019 Pending
Array ( [id] => 17054837 [patent_doc_number] => 20210264271 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-08-26 [patent_title] => ADAPTABLE NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 17/260258 [patent_app_country] => US [patent_app_date] => 2019-08-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8281 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -13 [patent_words_short_claim] => 123 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17260258 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/260258
ADAPTABLE NEURAL NETWORK Aug 19, 2019 Pending
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