News
June 2026: 🥳 Our paper mmFHE, on end-to-end encrypted mmWave sensing, was accepted to ACM MobiCom'26! Excited to attend the conference in Austin this October.
May 2026: 🌎 I joined EDF's MethaneSAT Data Platform team as a graduate intern through the PiTech PhD Impact Fellowship. I will be working on improving background methane estimation for MethaneSAT’s Level-4 data products.
April 2026: 🏛️ My EB-2 NIW petition was approved, recognizing the substantial merit and national importance of my ongoing research in wireless sensing.
April 2026: 🎤 Had the opportunity to present my work on secure and trustworthy wireless sensing at Cornell Tech's Digital Life Seminar, w/ Evan Dong (video).
May 2025: 🥳 Excited to be awarded the Digital Life Initiative (DLI) Doctoral Fellowship for 2025-26 at Cornell Tech, through which I will receive research support and engage with the broader DLI community!
February 2025: 🧑🏫 Our work VitalHide was presented at HotMobile'25 in Palm Springs, CA.
December 2024: 🧑🏫 Our work on RF lead sensing in soil was presented at EWSN'24 in Abu Dhabi, UAE (also won the Best Paper Award!!)
August 2023: 😭 Started my PhD in Information Science at Cornell Tech, NYC!
July 2023: 🎓 Obtained my Masters in EEE from BUET.
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Research
My research interests span wireless sensing, signal processing, AI, and healthcare applications. My PhD research is highlighted.
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mmFHE: mmWave Sensing with End-to-End Fully Homomorphic Encryption
Tanvir Ahmed,
Yixuan Gao,
Adnan Armouti,
Rajalakshmi Nandakumar
ACM MobiCom, 2026
paper
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BibTeX
mmFHE is the first system to enable the full mmWave sensing pipeline, including DSP and ML inference, homomorphically on encrypted radar data on an untrusted cloud. Raw radar data contains sensitive biometric information that can be used for re-identification, as well as data-dependent privacy attacks. mmFHE is implemented with seven composable, data-oblivious CKKS kernels and supports real-time processing for vital-sign sensing on a commodity GPU.
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VitalHide: Enabling Privacy-Aware Wireless Sensing of Vital Signs
Yixuan Gao*,
Tanvir Ahmed*,
Zekun Chang,
Thijs Roumen,
Rajalakshmi Nandakumar
* Equal contribution
ACM HotMobile, 2025
paper
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BibTeX
Related:
NYC Privacy Day at Google presentation
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ACM Showcase on Kudos
VitalHide protects breathing and heart-rate information from unauthorized remote wireless sensing. A wearable device masks true vital-sign signals, making unauthorized sensing unreliable while allowing authorized devices to recover accurate measurements. We demonstrate its feasibility using vibration-based and shape-memory-alloy prototypes.
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Feasibility of Radio Frequency Based Wireless Sensing of Lead Contamination in Soil
Yixuan Gao,
Tanvir Ahmed,
Zhongqi Cheng,
Mikhail Mohammed,
Rajalakshmi Nandakumar
EWSN, 2024   (Best Paper Award)
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BibTeX
Related:
Cornell Chronicle
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Phys.org
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MSN
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American Technion Society
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KARMACTIVE
SoilScanner explores a portable, affordable way to screen soil for lead (Pb) contamination using radio-frequency signals. It combines frequency-dependent signal patterns with machine learning to classify samples as having low or high lead levels. In our evaluation, it achieved 72% accuracy and correctly flagged every sample above 500 ppm.
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Show earlier research (2)
Hide earlier research
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Biomimicry in Nanotechnology: a Comprehensive Review
Mehedi Hasan Himel,
Bejoy Sikder,
Tanvir Ahmed,
Sajid Muhaimin Choudhury
Nanoscale Advances, 2023
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PMC
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BibTeX
The integration of biomimicry with nanotechnology has shown promise across medicine, robotics, sensors, photonics, energy, and textiles. This review surveys key advances in these areas and highlights emerging opportunities for nature-inspired design at the nanoscale.
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COVID-19 Identification From Lung CT Scans in a Low-Resource Setting Using a Regularized 3D Convolutional Neural Network
Tanvir Ahmed,
Mohtasim Nakib,
Md Messal Monem Miah,
Mohammad Ariful Haque
ICECE, 2022
paper
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pre-print
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BibTeX
Identifying COVID-19 from lung CT scans in a low-resource setting using a regularized 3D convolutional neural network.
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Graduate Intern
MethaneSAT Data Platform Team, Environmental Defense Fund
May 2026 - August 2026
Supervisor: Sasha Ayvazov
Developed Masked Prediction, a patch-based method for estimating background methane in scenes with spatial gradients. It hides each patch and predicts its background from the surrounding context, preventing plumes within the patch from influencing the estimate. On synthetic scenes generated from real Jacobians, the method reduced mean absolute error by about 70% over the production baseline (0.89 vs. 2.91 ppb).
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Graduate Teaching Assistant
Cornell Tech
Held weekly office hours, helped create assignments, led lab sessions, and graded coursework for the following courses:
ECE 5260/ORIE 5735 Graph-Based Data Science for Networked Systems (Spring 2025)
CS/INFO 5304 Data Science in the Wild (Spring 2024)
INFO 5600 AI for Healthcare (Fall 2023, Fall 2024, and Fall 2026)
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Lecturer
Department of Computer Science and Engineering, BRAC University
January 2020 - August 2023
Supervisors: Sadia Hamid Kazi and Mahbubul Alam Majumdar
Taught courses in image processing, VLSI design, electronic devices, and circuits. Helped maintain EEE hardware labs, prepared class schedules for EEE courses, and advised undergraduate research students.
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Service
Reviewer:
ACM CHI (2025, 2026),
ACM/IEEE HRI (2026),
ACM DIS (2025, 2026),
UbiComp/ISWC (2025),
IEEE Signal Processing Letters (2025, 2026),
and ACM MobileHCI (2026)
Topic Chair: IEEE ECCE (2025)
Student Volunteer: ACM HotMobile (2025)
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Fellowships & Awards
2026: Siegel PiTech PhD Impact Fellowship, Cornell Tech
2025: Digital Life Initiative Doctoral Fellowship, Cornell Tech
2025: Student Travel Grant Recipient, HotMobile'25 (Palm Springs, CA)
2024: Best Paper Award, EWSN'24 (Abu Dhabi, UAE)
2024: Student Travel Grant Recipient, EWSN'24 (Abu Dhabi, UAE)
2023: Winner of Cornell Tech’s “Tech Innovation in Frame” Photo Contest
2019: Undergraduate Degree with Honors, BUET
2015, 2016, 2018: Dean’s List, BUET
2015, 2016, 2017, 2018: University Merit Award, BUET
2017: National Idea Competition, Top 10, Ministry of Power, Energy & Mineral Resources, Bangladesh
2014: National Physics Olympiad, 1st position, St. Joseph Higher Secondary School, Dhaka, Bangladesh
2014: Bangladesh Physics Olympiad, 7th position, Dhaka Divisional, Bangladesh
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