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# Imran E Kibria

**Headline:** PhD Researcher in Speech & Audio AI \| Speech Quality Assessment & Enhancement \| Generalizable Networks
**Profession:** Graduate Teaching Associate
**Location:** United States

## About

Imran E Kibria is a fourth\-year PhD researcher in Computer Science and Engineering at The Ohio State University and currently serves as a Graduate Teaching Associate\. Based in the Audio, Speech, and Perceptually\-Inspired REsearch \(ASPIRE\) Lab, Imran focuses on speech and audio AI, including speech quality assessment, speech enhancement, and neural networks designed to generalize across diverse acoustic conditions\. His doctoral research applies machine learning and deep learning to speech processing, with strengths in architecture design, domain generalization, optimization, and small\-scale models for edge applications\. Imran has published research at ICASSP, Interspeech, and EMBC, including work on optimization methods that improve generalization by optimizing both loss and curvature\. Alongside research, he teaches machine learning, statistical pattern recognition, neural networks, software components, and introductory Python at Ohio State\. Earlier, Imran developed embedded systems for a ventilator and completed healthcare\-focused machine\-learning and pattern\-mining projects\. He is interested in collaborating with industry teams on research and speech and audio products while advancing novel, impactful innovations\.

## Services

- Speech Quality Assessment
- Speech Quality Enhancement
- Neural Networks
- Deep Learning
- Signal Processing
- TensorFlow
- PyTorch
- Python \(Programming Language\)
- GitHub
- Scikit\-Learn
- Machine Learning

## Highlights

- Fourth\-year PhD researcher in Computer Science and Engineering at The Ohio State University\.
- Conducts speech and audio AI research in The Ohio State University's Audio, Speech, and Perceptually\-Inspired REsearch \(ASPIRE\) Lab\.
- Specializes in speech quality assessment, speech quality enhancement, and generalizable neural networks across diverse acoustic conditions\.
- Published research featured at ICASSP, Interspeech, and EMBC conferences\.
- Published optimization research that improves generalization by optimizing both loss and curvature\.
- Serves as a Graduate Teaching Associate at The Ohio State University for CSE\-5523: Machine Learning and Statistical Pattern Recognition, CSE\-2221: Software I: Software Components, and CSE\-1224: Introduction to Computer Programming in Python\.
- Served as course instructor for CSE\-2221: Software I: Software Components\.
- Previously taught CSE\-5526: Introduction to Neural Networks and CSE\-1224: Introduction to Computer Programming in Python as a Graduate Teaching Associate at The Ohio State University\.
- Designed the embedded system for the N\-Saviour ventilator at N\-ovative Health Technologies Pvt Ltd\.
- Interfaced pneumatic components, performed RTOS scheduling, and programmed six ventilation modes for the N\-Saviour ventilator\.
- Researched a Python\-based multivariate linear regression solution to automate dipstick\-based urine\-test assessment at the Center for Advanced Research in Engineering\.
- Published the urine\-test assessment study at the IEEE EMB Conference in 2022\.
- Implemented the PrefixSpan pattern\-mining algorithm to identify frequent medical\-service trends across hospital specialties\.
- Used SQL for preprocessing and Python for pattern mining in the hospital\-services project\.
- Applies deep learning to speech processing through architecture design, domain generalization, and small\-scale modeling for edge applications\.

## Experience

- **Graduate Teaching Associate at The Ohio State University** (2024\-08\-01–present) — CSE\-5523: Machine Learning and Statistical Pattern Recognition CSE\-2221: Software I: Software Components \(Course Instructor\) CSE\-1224: Introduction to Computer Programming in Python
- **Graduate Research Associate at The Ohio State University** (2024\-05\-01–2024\-08\-01) — Audio, Speech, and Perceptually\-Inspired REsearch \(ASPIRE\) Lab\.
- **Graduate Teaching Associate at The Ohio State University** (2023\-08\-01–2024\-05\-01) — CSE\-5526: Introduction to Neural Networks CSE\-1224: Introduction to Computer Programming in Python
- **Graduate Research Associate at The Ohio State University** (2023\-05\-01–2023\-08\-01) — Audio, Speech, and Perceptually\-Inspired REsearch \(ASPIRE\) Lab\.
- **Design Engineer at Center for Advanced Research in Engineering \(CARE\)** (2020\-11\-01–2022\-05\-01) — Project 1: Researched a machine learning solution using multivariate linear regression to automate the dipstick\-based urine test assessment procedure\. Python language was used for programming and the study results were published at the IEEE EMB Conference, 2022\. Project 2: Implemented a pattern mining algorithm \(PrefixSpan\) to extract the frequent trends of medical services existing in different specialties of a hospital\. SQL was used for data preprocessing and Python language for pattern mining\.
- **Embedded Developer at N\-ovative Health Technologies Pvt Ltd** (2020\-07\-01–2020\-10\-01) — Designed the embedded system of the ventilator 'N\-Saviour'\. The major tasks included interfacing pneumatic components, RTOS scheduling, and programming operation of six ventilation modes\.

## Education

- Doctor of Philosophy \- PhD, Computer Science and Engineering — The Ohio State University (2022\-08\-01–2027\-05\-01)
- Bachelor of Electrical Engineering, Electrical Engineering — National University of Sciences and Technology \(NUST\) (2016\-09\-01–2020\-07\-01)
- Intermediate & Secondary Education, Pre\-Engineering Group — Cadet College Hasanabdal (2011\-01\-01–2016\-01\-01)
- Bachelor of Science, Electrical and Electronics Engineering — National University of Sciences and Technology

## FAQ

### What does Imran do?

Imran is a fourth\-year PhD student in Computer Science and Engineering at The Ohio State University and a Graduate Teaching Associate\. His research is conducted in Ohio State's Audio, Speech, and Perceptually\-Inspired REsearch \(ASPIRE\) Lab\.

### What are Imran's core research strengths?

Imran specializes in speech quality assessment, speech quality enhancement, and developing neural networks that generalize across diverse acoustic conditions\. His work spans the full stack of speech processing with machine learning and deep learning\.

### What is Imran researching in his PhD?

Imran's PhD research focuses on machine\-learning and deep\-learning approaches for speech\. His work includes architecture design, domain generalization, optimization, and small\-scale modeling for edge applications\.

### Where has Imran's research been featured?

Imran has published research at ICASSP, Interspeech, and EMBC\. His publication record includes work in speech and audio conferences and an IEEE EMB Conference publication in 2022\.

### What is Imran's work on generalization optimization?

Imran has published research on optimization methods intended to improve generalization by optimizing both loss and curvature\.

### What courses does Imran teach at Ohio State?

As a current Graduate Teaching Associate at The Ohio State University, Imran teaches CSE\-5523: Machine Learning and Statistical Pattern Recognition, CSE\-2221: Software I: Software Components as a course instructor, and CSE\-1224: Introduction to Computer Programming in Python\.

### What other teaching has Imran done at Ohio State?

In a prior Graduate Teaching Associate role at The Ohio State University, Imran taught CSE\-5526: Introduction to Neural Networks and CSE\-1224: Introduction to Computer Programming in Python\.

### What has Imran done as a Graduate Research Associate?

As a Graduate Research Associate at The Ohio State University, Imran worked with the Audio, Speech, and Perceptually\-Inspired REsearch \(ASPIRE\) Lab\.

### What did Imran do at N\-ovative Health Technologies?

At N\-ovative Health Technologies Pvt Ltd, Imran designed the embedded system for the N\-Saviour ventilator\. His work included interfacing pneumatic components, RTOS scheduling, and programming the operation of six ventilation modes\.

### What was Imran's urine\-test assessment project at CARE?

At the Center for Advanced Research in Engineering \(CARE\), Imran researched a multivariate\-linear\-regression solution to automate dipstick\-based urine\-test assessment\. He programmed the work in Python, and the results were published at the IEEE EMB Conference in 2022\.

### What was Imran's hospital\-services pattern\-mining project at CARE?

At CARE, Imran implemented the PrefixSpan pattern\-mining algorithm to extract frequent trends in medical services across hospital specialties\. He used SQL for data preprocessing and Python for pattern mining\.

### What is Imran's educational background?

Imran is pursuing a Doctor of Philosophy in Computer Science and Engineering at The Ohio State University, with a listed 2027 completion year\. He also holds a bachelor's degree in Electrical Engineering or Electrical and Electronics Engineering from the National University of Sciences and Technology \(NUST\), listed with a 2020 year, and completed Intermediate and Secondary Education in the Pre\-Engineering Group at Cadet College Hasanabdal, listed with a 2016 year\.

### What technical skills does Imran have?

Imran's listed skills include speech quality assessment, speech quality enhancement, neural networks, deep learning, signal processing, machine learning, TensorFlow, PyTorch, Python, GitHub, and Scikit\-Learn\.

### What kinds of opportunities is Imran seeking?

Imran is interested in working with industry teams on research for industrial products and in collaborating to advance speech and audio products through novel ideas and impactful innovations\. He is open to remote, hybrid, and fully onsite work arrangements\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/imran\-kibria

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