PeopleofSuperintelligence

Researcher

Neha Singh

Neha Singh is an electronics researcher at Manipal University Jaipur whose research spans image processing, machine learning and VLSI design. She earned a B.E. in Electronics & Communication Engineering in 2004 and an M.Tech. in VLSI Design in 2009, then completed an image-processing PhD in 2020. Her 2017 paper examined false watermark extraction and rewatermarking, and her 2021 patent carried the title B-ATM Transaction: Biometric Transaction Authorization based on user location Verification. In 2025, she organized an IC-design short course and taught VLSI and image processing at Manipal's International Summer School. She coauthored a machine-learning paper on ripple-carry-adder design in 2026 and is an Assistant Professor (Selection Grade) in Manipal's ECE department as of October 2026.

Now at
Manipal University Jaipur
Works
103
Citations
311
h-index
9

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2004

    A Rajasthan engineering degree

    She earns a B.E. in Electronics & Communication Engineering from the University of Rajasthan in 2004.

  2. 2009

    VLSI design at MNIT

    In 2009, she earns an M.Tech. in VLSI Design from Malaviya National Institute of Technology, Jaipur.

  3. 2017

    False watermark extraction

    In 2017, she coauthors a paper with Sandeep Joshi and Shilpi Birla on false watermark extraction and rewatermarking in image-watermarking techniques.

  4. 2020

    An image-processing PhD

    In 2020, she completes a PhD in image processing at Manipal University Jaipur's Faculty of Engineering.

  5. 2021

    A biometric ATM patent

    Her 2021 patent is titled B-ATM Transaction: Biometric Transaction Authorization based on user location Verification (202141036720).

  6. June–July 2025

    Teaching IC design

    In June 2025, she organizes a four-week short course on IC design and VLSI design flow at Manipal University Jaipur. At its 2025 International Summer School, she teaches VLSI circuit design using Cadence and image processing using Verilog.

  7. 2026

    Machine learning for adder design

    In 2026, she coauthors a machine-learning paper with Samriddh Kumar Singh, Shobhit Mittra and Shilpi Birla on predicting optimal design parameters for a ripple carry adder.

  8. As of October 2026

    Assistant Professor at Manipal Jaipur

    As of October 2026, she is an Assistant Professor (Selection Grade) in Manipal University Jaipur's Department of Electronics & Communication Engineering. Her teaching and research interests include image processing, machine learning and VLSI design.

Career

  1. Since 2016Manipal University JaipurAssistant Professor (Selection Grade)
  2. 2023–2025Indian Institute of Information Technology Lucknow
  3. 2021–2023KIIT University

Education

  1. 2020Manipal University JaipurPhD in image processing
  2. 2009Malaviya National Institute of Technology JaipurM.Tech. in VLSI Design
  3. 2004University of RajasthanB.E. in Electronics & Communication Engineering

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. SelfFed: Self-adaptive Federated Learning with Non-IID data on Heterogeneous Edge Devices for Bias Mitigation and Enhance Training Efficiency2025 · Information Fusion · 24 citations
  2. A novel application of Decision Tree classifier in solar irradiance prediction2022 · Materials Today Proceedings · 22 citations
  3. Personalized Federated Learning for Heterogeneous Edge Device: Self-Knowledge Distillation Approach2023 · IEEE Transactions on Consumer Electronics · 19 citations
  4. High-Performance 10-Transistor Adder Cell for Low-Power Applications2022 · IETE Journal of Research · 15 citations
  5. Review of Design and Construction of an Open Circuit Low Speed Wind Tunnel2013 · Global Journal of Researches in Engineering · 12 citations

From OpenAlex, as of 21 October 2026.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  2. The United States employs an estimated 48% of people shaping AIWe estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.
  3. 43% of living people shaping AI work outside their country of birthWe estimate that 43% of living people shaping AI work outside their country of birth (520 of 1,198 people with known birth and employment countries).
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionWe estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.

Sources and credits

Photo: We have no published photo of Neha Singh yet. Send us a free-licensed photo.

  1. Dr. Neha Singh sites.google.com. Checked 21 October 2026.
  2. False Watermark Extraction and Rewatermarking Issues with Image Watermarking Techniques indjst.org. Checked 21 October 2026.
  3. Teaching Faculties jaipur.manipal.edu. Checked 21 October 2026.
  4. National level Short Term Course on IC Design under C2S programme and SoC Teamup Semiconductors Pvt. Ltd. - Manipal University Jaipur jaipur.manipal.edu. Checked 21 October 2026.
  5. International Summer School - Manipal University Jaipur jaipur.manipal.edu. Checked 21 October 2026.
  6. Shilpi Birla csauthors.net. Checked 21 October 2026.