Prosecution Insights
Last updated: October 27, 2026

Indian Institute Of Technology Madras (Iit Madras)

Technology area: Networking & Security

6 pending office actions • 6 art units • 6 examiners • 0 of 6 (0%) have an AI response strategy ready • 16 patents granted in the last 365 days

Analysis

Indian Institute Of Technology Madras has 6 pending office actions in Networking & Security. Each matter is assigned to a distinct examiner and a distinct art unit, producing a fully distributed examination profile.

NGUYEN, THIEN DANG is the busiest examiner, with 1 pending matter. Since the identified workload is not concentrated, docketing and response preparation should be organized by application, while a common technical narrative can support consistency where appropriate.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Portfolio Summary

6
Total Pending OAs
5
Non-Final OAs
1
Final Rejections
0
Advisory / Quayle

Case Difficulty Mix

Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.

4
Hard (67%)
2
Medium (33%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 + other2 (33%)
§103 only1 (17%)
§102 only1 (17%)
Multi-statute (no §101)2 (33%)

Industry Mix

How the docket's pending cases split across USPTO tech-center bands.

1
Life Sciences
17% of docket
5
Information Tech
83% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
0
Mechanical / Eng
0% of docket
0
Business / Other
0% of docket

Time-on-OA Estimate

Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.

60 h
Manual time on pending OAs
12 h
Time saved (low, 20%)
21 h
Time saved (mid, 35%)
0.5 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
NGUYEN, THIEN DANG 1 87.4% +11.8%
MASUR, PAUL H 1 87.2% +13.3%
MAGLOIRE, ELISABETH BENOIT 1 89.7% +8.0%
SCHEIBEL, ROBERT C 1 80.7% +15.0%
HSU, BAILOR CHIA-JONG 1 90.2% +3.8%
BERA, HENA RAKESHKUMAR 1 100.0% +0.0%

Quick Wins (2)

Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.

App #TitleExaminerDue in
18799582 METHOD AND APPARATUS FOR ACHIEVING MODEL COMPATIBILITY IN TWO-SIDED MODEL AND ITS PARAMETER SIGNALING MAGLOIRE, ELISABETH BENOIT —
18709408 TRANSFORM-PRECODING OF A SELECTIVE SET OF DATA FOR TRANSMISSION OVER A WIRELESS COMMUNICATION NETWORK HSU, BAILOR CHIA-JONG —

Hard Cases (4)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.

App #TitleExaminerDue in
19073480 Neural network-based decoder architecture for 5G NGUYEN, THIEN DANG —
18799434 PHYSICAL LAYER SIGNALING PROCEDURES FOR AI/ML BASED CHANNEL FEEDBACK MASUR, PAUL H —
18836162 MANAGING CROSS-LINK INTERFERENCE IN A WIRELESS COMMUNICATION NETWORK SCHEIBEL, ROBERT C —
18631994 METHODS AND KITS FOR DETECTING CANNABINOIDS BERA, HENA RAKESHKUMAR —

Interview Candidates (3)

Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 3 ordered by deadline are shown.

App #TitleExaminerDue in
19073480 Neural network-based decoder architecture for 5G NGUYEN, THIEN DANG —
18799434 PHYSICAL LAYER SIGNALING PROCEDURES FOR AI/ML BASED CHANNEL FEEDBACK MASUR, PAUL H —
18836162 MANAGING CROSS-LINK INTERFERENCE IN A WIRELESS COMMUNICATION NETWORK SCHEIBEL, ROBERT C —

Top Art Units

Art UnitApps
2111 1
2417 1
2471 1
2467 1
2461 1
1798 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
19073480 Neural network-based decoder architecture for 5G NGUYEN, THIEN DANG 2111 §101§102§103§112 Non-Final OA — Pending Mar 07, 2025
18799434 PHYSICAL LAYER SIGNALING PROCEDURES FOR AI/ML BASED CHANNEL FEEDBACK MASUR, PAUL H 2417 §103§112 Non-Final OA — Pending Aug 09, 2024
18799582 METHOD AND APPARATUS FOR ACHIEVING MODEL COMPATIBILITY IN TWO-SIDED MODEL AND ITS PARAMETER SIGNALING MAGLOIRE, ELISABETH BENOIT 2471 §102 Non-Final OA — Pending Aug 09, 2024
18836162 MANAGING CROSS-LINK INTERFERENCE IN A WIRELESS COMMUNICATION NETWORK SCHEIBEL, ROBERT C 2467 §102§103§112 Non-Final OA — Pending Aug 06, 2024
18709408 TRANSFORM-PRECODING OF A SELECTIVE SET OF DATA FOR TRANSMISSION OVER A WIRELESS COMMUNICATION NETWORK HSU, BAILOR CHIA-JONG 2461 §103 Final Rejection — Pending May 10, 2024
18631994 METHODS AND KITS FOR DETECTING CANNABINOIDS BERA, HENA RAKESHKUMAR 1798 §101§103§112 Non-Final OA — Pending Apr 10, 2024

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Frequently Asked Questions

How many pending USPTO office actions does Indian Institute Of Technology Madras (Iit Madras) have?

Indian Institute Of Technology Madras (Iit Madras) has 6 pending office actions as of October 2026, spread across 6 art units and 6 examiners.

Which USPTO examiner handles the most Indian Institute Of Technology Madras (Iit Madras) applications?

Thien Dang Nguyen has the most, with 1 of Indian Institute Of Technology Madras (Iit Madras)'s pending office actions.

What technology area are Indian Institute Of Technology Madras (Iit Madras)'s patent applications in?

Mostly Networking & Security (USPTO Tech Center 2400), based on where its pending office actions are examined.

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