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Manan Suri
Electrical Engineering

Manan Suri

Professor

Non-Volatile Memory TechnologyAI HardwareApplicationsNeuromorphicAI Hardware
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Manan Suri

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This semester

  • ELL1401

    Digital Electronicsrunning now

    4.5 (3-0-3) credits · Slot X

    unrated
  • ELL201

    Digital Electronicsrunning now

    4.5 (3-0-3) credits · Slot X

    unrated

Earlier

  • ELL201

    Digital Electronicsrunning now

    4.5 (3-0-3) credits · Sem 2, 2025-26, Sem 1, 2025-26, Sem 2, 2023-24, Sem 1, 2023-24, Sem 1, 2022-23

    unrated

Each course has its own page and discussion.

Doing a BTP, MTP, PhD, internship or RA position under Suri, scored on five separate axes.

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A review is close to worthless without knowing whether this was a one-semester BTP or four years of a PhD.

5
1 · left yourself to itclosely guided · 10
5
1 · weeks to get a replyresponds same day · 10
5
1 · told exactly what to dopicked my own direction · 10
5
1 · lightpunishing · 10
5
1 · contribution went unacknowledgedscrupulously fair on authorship · 10

These are deliberately not all “high is good”. Someone who wants heavy guidance and someone who wants total autonomy are looking for opposite ends of the Freedom axis. Answer honestly about what it was like; readers will judge fit.

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Areas listed by the department

Non-Volatile Memory TechnologyAI HardwareApplicationsNeuromorphicAI HardwareSemiconductor Hardware SecurityCircuit-Device Interaction

Publications, via OpenAlex

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Teaching now

  • ELL1401 · Digital ElectronicsSlot X
  • ELL201 · Digital ElectronicsSlot X

Education

  • B.S., Electrical and Computer Engineering, Cornell University, USA, M.Eng., Electrical and Computer Engineering, Cornell University, USA , PhD in Nano electronics and Nano Technology, CEA-LETI, France

Links

  • Department pageee.iitd.ac.in/faculty-profile/34
  • LinkedInSearch by name
21h-index
3605Citations
146Works
42i10

Topic clusters

Advanced Memory and Neural ComputingLow-power high-performance VLSI designFerroelectric and Negative Capacitance DevicesAdvanced Neural Network ApplicationsNeural Networks and Reservoir Computing

Most recent

  1. CyberForge: Verified Vulnerability Injection at Repository Level for Cybersecurity Agent Training · arXiv (Cornell University), 2026
  2. S 2 -CIM: A 53.9 TOPS/W SRAM-based Sign-bit-Aware Multibit Compute-In-Memory Architecture for Edge-AI Inference · IEEE Interregional NEWCAS Conference (NEWCAS), 2026
  3. Investigation of EM Fault Injection on Emerging Lightweight Neural Network Hardware · Lecture notes in computer science, 2025
  4. Variation-Aware Demonstration and Optimization of Block Floating Point and Integer Neural Network Acceleration on RRAM Compute in-Memory Hardware · IEEE transactions on circuits and systems for artificial intelligence., 2025 · 2 citations
  5. SIMMAC: SRAM IMC-Based Multibit Multiplication With Analog Carry Computation · IEEE Embedded Systems Letters, 2025 · 1 citations

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