RESEARCH SCIENTIST III • UNIVERSITY OF ARIZONA
Samarjith Biswas
Pioneering the intersection of Topological Acoustics, AI/Machine Learning, and Quantum-Inspired Technologies
US Patent
HOLDER
NASA
COLLABORATOR
$30M
NSF CENTER
7+
YEARS R&D
QUANTIFIED IMPACT
Measurable Results
75%
Design Iteration Time Reduction
40%
Manufacturing Cost Reduction
25%
Performance Improvement
$300K+
Facility Management
ABOUT
Engineering the Future of Sound
CURRENT POSITION
NewFoS Science & Technology Center
University of Arizona
$30M NSF-Funded Research Center
I am an R&D Leader and Innovation Specialist with 7+ years driving breakthrough innovations in AI-powered acoustic systems, RF device engineering, and advanced energy harvesting technologies. Currently leading cutting-edge research at the University of Arizona’s prestigious New Frontiers of Sound Science & Technology Center (NewFoS)—a $30 million NSF-funded initiative pioneering topological acoustics for quantum computing, next-generation telecommunications, and environmental sensing.
My work sits at the frontier where sound meets quantum mechanics. I develop 2D topological phononic crystals using phase-change materials, implement physics-informed neural networks (PINNs) for acoustic metamaterial design, and collaborate with elite institutions including Caltech, UCLA, Georgia Tech, and UC Boulder on breakthrough acoustic innovations.
My PhD research at Oklahoma State University focused on Thermoacoustic Metastructures (TAMS) for noise mitigation and energy harvesting, conducted in collaboration with NASA’s Langley Research Center. This work led to a US Patent, paving the way for next-generation acoustic technologies.
RESEARCH FOCUS
Frontier Technologies
Working at the intersection of acoustics, quantum mechanics, and artificial intelligence
01
Topological Acoustics
Exploiting hidden properties of sound waves that mimic quantum phenomena—creating acoustic systems with extraordinary resistance to disorder and defects.
Phononic Crystals • Edge States • Dirac Cones
02
AI & Machine Learning
Implementing physics-informed neural networks and deep learning frameworks to accelerate metamaterial design and enable real-time optimization.
PINNs • TensorFlow • PyTorch
03
Quantum-Inspired Systems
Designing acoustic metamaterials with phase-change capabilities for quantum computing and next-generation telecommunications applications.
RF Devices • 5G/6G • PCM
TECHNICAL STACK
Core Competencies
AI & MACHINE LEARNING
Deep Learning • TensorFlow • PyTorch • Physics-Informed Neural Networks (PINNs) • Automated Design Optimization
ACOUSTIC TECHNOLOGIES
Topological Acoustics • Phononic Crystals • Thermoacoustic Systems • RF Devices • Acoustic Metamaterials
SIMULATION & MODELING
COMSOL Multiphysics • ANSYS Workbench/Fluent • DeltaEC • MATLAB/Simulink • Finite Element Analysis • CFD
PROGRAMMING
Python • MATLAB • C/C++ • LabVIEW • R • FORTRAN • Signal Processing • Data Analysis
ADVANCED ENGINEERING
Energy Harvesting • MEMS Design • Phase-Change Materials • Smart Materials • Additive Manufacturing
LEADERSHIP
Project Management • Six Sigma Green Belt • Cross-functional Collaboration • Grant Writing • Technology Transfer
ACADEMIC JOURNEY
Education
Ph.D. in Mechanical & Aerospace Engineering
Oklahoma State University
Dissertation: Development and Optimization of Thermoacoustic Metastructures
NASA collaboration • US Patent • 40% cost reduction • 25% performance improvement
2019 – 2024
M.S. in Mechanical Engineering
Northern Arizona University
Thesis: Structural Supercapacitors for Electric Vehicle Applications
53.58 mWh/kg energy density • 6.9 GPa mechanical modulus
2017 – 2019
B.S. in Mechanical Engineering
Rajshahi University of Engineering & Technology
Dean’s List (2014-2016) • Senior Project: LVDT-based Micro-Displacement Sensor (±0.1 µm precision)
2011 – 2016
CAREER
Professional Experience
CURRENT POSITION
Research Scientist III – AI & Acoustic Engineering
University of Arizona, NewFoS Science & Technology Center
Sept 2024 – Present
AI-Driven Innovation: Lead design optimization of 2D topological phononic crystals using phase-change materials (PCM), achieving ~200 MHz operational frequency through machine learning algorithms—delivered 75% reduction in design iteration time.
Deep Learning Systems: Develop automated parameter prediction models for Borofloat-based metamaterials using TensorFlow and PyTorch, enabling real-time optimization for RF devices and quantum computing applications.
Cross-Institutional Leadership: Collaborate with CUNY, Wayne State, Caltech, UCLA, Georgia Tech, Spelman College, University of Alaska-Fairbanks, and UC Boulder on breakthrough acoustic innovations.
Graduate Research Associate – Thermoacoustic Systems
Oklahoma State University
Aug 2019 – Aug 2024
Pioneered Thermoacoustic Metastructures (TAMS) achieving 15-25 dB noise reduction across 100-2000 Hz with microwatt-scale power generation. NASA Partnership with Langley Research Center achieving 9.5°C thermal gradient at optimized 790 Hz. Managed $300K+ state-of-the-art facilities and mentored 7+ researchers.
Graduate Research Assistant – Energy Storage Systems
Northern Arizona University
Aug 2017 – Jul 2019
Led structural supercapacitor development for EVs achieving 53.58 mWh/kg energy density, 32.06 W/kg power density, and 57.82 mF/g specific capacitance through advanced electrode functionalization and nanomaterial integration.
RECOGNITION
Awards & Honors
Best Oral Presentation Award
Oklahoma State University, 2022
International Excellence Award
Northern Arizona University, 2018-19
Finalist – 3 Minute Teach Competition
2023
CREDENTIALS
Certifications
Six Sigma Green Belt
Engineering Project Management
COMSOL Multiphysics Certified
TensorFlow Developer
“The only way to discover the limits of the possible is to go beyond them into the impossible.”
— Arthur C. Clarke
OPEN TO COLLABORATION
Let’s Build the Future
Open to research collaborations, technological innovations, and industry partnerships in topological acoustics, metamaterials, AI-enhanced engineering, and quantum-inspired technologies.
Tucson, AZ | Available for domestic & international relocation
Samarjith Biswas 