About: I am directing the Laboratory for Ubiquitous and Intelligent Sensing (UIS Lab) at Ira A. Fulton Schools of Engineering, Arizona State University. I hold an interdisciplinary position where I will advise PhD students from both Computer science (CS) and Biomedical engineering (BME). Previously, I served as a tenure-track Assistant Professor at Syracuse University and gained research experience as a research intern at both Nokia Bell Labs in Murray Hill, NJ, USA, and the BOSCH Research and Technology Center in California, USA.

My research takes a multi-disciplinary approach to developing novel and practical human-centric computing and sensing solutions. My research interests go beyond the conventional learning or sensing approaches and address the research challenges, such as:

Investigating the natural distribution shifts within real human-centric applications, understanding their impact, and developing solutions to attain robustness against these shifts.

Addressing issues of Fairness and bias mitigation in human-centric computing, especially in scenarios where the factors subject to inequitable treatment remain unidentified.

Multimodal-integration and Co-teaching-based ubiquitous and human-centric computing solutions.

Interpretability of ML inference, particularly in the context of healthcare applications.

Scalable and compressed ubiquitous computing solutions addressing the challenges of resource-constraint edge computing platforms.

Trustworthiness and reliability in automated human-centric sensing, computing, and actuation/intervention.

Addressing the privacy and security challenges associated with human-centric computing, sensing, and Internet-of-things (IoT) applications.

A core focus of my research program is to integrate computing solutions to advance health assessment, identify latent markers, automate health monitoring, and facilitate automated interventions. My recent and ongoing projects include real-world health applications, such as

Passive assessment of mental health (e.g., depression, social anxiety disorder, PTSD, etc.) and affective states.

Automated assessment of opioid craving in opioid-use-disorder (OUD) individuals and providing reliable, trustworthy, and just-in-time interventions to mitigate craving.

Understanding mental, speech, and sensorimotor factors of children-stuttering and providing automated interventions.

Automated assessment of socio-behavioral well-being of dairy cattle and providing adaptive just-in-time interventions to the farmers.

Automated monitoring of asthma and dementia patients.

Predicting COVID-19 mortality, risk factors, and its effect on mental health.

Identify, visualize, and interpret health-related (for Autism, Alzheimer's, and PTSD) atypical brain-activity patterns from EEG, MRI (fMRI), and fNIRS signals, etc.

Identifying markers of chronic kidney disease (CKD).

Starting in 2023, I have taken on the role of Associate Editor (AE) for the journal 'The Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)' and the prestigious 'UbiComp' conference, which is the leading publication platform for ubiquitous computing research. Additionally, since 2021, I have been serving as an Associate Editor (AE) for the 'ACM Transactions on Computing for Healthcare' journal.

Announcements! I am seeking motivated Ph.D. students in both Biomedical Engineering and Computer Science. Interested students should email their curriculum vitae, transcripts, and a paragraph or two detailing their research experiences, with the subject as 'Ph.D. admission at ASU.'

Research Interests

Human-centered AI and Sensing, Mobile Health, Machine Learning, Cyber-Physical Systems (CPS), Ubiquitous Computing, Human-Centered Fairness, Privacy, Security, and Reliability.

Latest News

2024

Aug 2024: I have joined Arizona State University as a tenure-track Assistant Professor.

June 2024: Congratulations to Dr. Jingyu Xin, my first advisee to successfully defend his doctoral dissertation! He has set a wonderful standard for those who will follow in my lab.

June 2024: Jingyu's paper got accepted at ACII 2024. Congratulations Jingyu!

March 2024: Avery Gump received the 2024 Earl H. Devoe Prize for Outstanding Undergraduate Research. Congratulations Avery!

2023

Dec 2023: Multiple papers have been accepted in the 'IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024', the 'Journal of Medicine in Novel Technology and Devices', and the 'Signal Analytics for Motor Speech Workshop, Motor Speech 2024'.

Nov 2023: News about our research! Our work on protecting users' emotional privacy from smart speakers like Alexa was featured as a story. You can read the paper here: [paper link]

Oct 2023: Our paper on developing Verified Robust Compressed Neural Networks from Scratch got accepted at the AAAI Conference on Artificial Intelligence, 2024 (Emerging Applications of AI track: acceptance rate 24%). Congratulations to Sawinder Kaur!

Oct 2023: News about our research! . Syracuse University has recently showcased our ongoing research aimed at creating an automated and trustworthy intervention to aid individuals with opioid use disorder treatment. I am fortunate to be able to lead this impactful project with the support of such enthusiastic and capable collaborators, Dr. Dessa Bergen-Cico, and Dr. Tauhidur Rahman, who contribute their expertise in opioid behavior and intervention. Additionally, Dr. Monika Taylor, Crouse Hospital's director, has collaborated with us on data collection.

Oct 2023: Our paper on Co-teaching thermal sensing for stress detection, titled "Reading Between the Heat": Co-Teaching Body Thermal Signatures for Non-intrusive Stress Detection, got accepted in IMWUT 2024. Congratulations to Yi Xiao and the team!

Oct 2023: A paper got accepted into a reputable journal, Nature Molecular Psychiatry (Impact Factor 13.437).

July 2023: Our paper on protecting emotional privacy against commercial smart speakers, titled "Privacy against Real-Time Speech Emotion Detection via Acoustic Adversarial Evasion of Machine Learning," got accepted in IMWUT. Congratulations to Brian and the team!

May 2023: Our recent NIH R01 grant made the news . We will develop fair and ethical AI algorithms to understand children's speech disfluency and provide automated interventions.

May 2023: Multiple papers got accepted in INTERSPEECH and ACII 2023.

March 2023: It’s official today! We got an NIH R01 grant! Title: “Intensive Speech Motor Chaining Treatment and Artificial Intelligence Integration for Residual Speech Sound Disorders.” Thank you, NIH.

2022

July 2022: Our paper titled “Psychophysiological Arousal in Young Children Who Stutter: An Interpretable AI Approach” has been accepted to IMWUT ’22. Congratulations to Harshit and Yi!

July 2022: Excited to share that Dr. Sucheta Soundarajan (PI) and I (Co-PI) received an NSF CPS small grant! We will work on automated sensing and understanding of Farm animal behavior. Thank you, NSF!

April 2022: Sawinder Kaur received the SU summer fellowships award . Congratulations!

Jan 25 2022: Our paper 'Combating False Data Injection Attacks on Human-Centric Sensing Applications' has been accepted to IMWUT, 2022. Congratulations to Jingyu Xin!

Jan 2022: Paper got accepted in PNAS (Impact factor 11.1). One of the most prestigious general science journals.

2021

Aug 18 2021: It’s official today! We got an NSF SCH medium (Budget $1.1 million) grant!
The project title is: “Collaborative Research: SCH: Psychophysiological Sensing to Enhance Mindfulness-Based Interventions for Self-Regulation of Opioid Cravings.”
I am the Lead PI, with Prof. Dessa Bergen-Cico as the Co-PI from SU and Dr. Rifat Rahman is the PI from the collaborative institution UMASS Amherst.
Thank you, NSF!

Aug 13, 2021: One of our NIH R-01, 2021, Artificial Intelligence/Machine Learning administrative supplement grants got funded in full for one year. Our lab will develop approaches to make speech transcription accurate and adaptable for individuals with stuttering disorders. My role: Co-I.
Thank you, NIH!

April 28, 2021: Our paper on ‘Preclinical Stage Alzheimer's Disease Detection’ was awarded with 'IAAI Deployed Application Award'. Congratulations to Fatih and Guillermo. The project got featured on the news!.

March 2021: Our project got funded by NIH R-21 (I am Co-I) . "The Influence of Contextual and Constitutional Emotional Processes on Speech Motor Control and Speech Motor Practice Effects in Early Childhood Stuttering"

Jan 2021: Patent: 'System and Method for Audio Event Detection in Surveillance Systems (01/07/2021)' got published. [pdf]

2020

Nov 2020: Paper: 'Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image Scans' is accepted by IAAI 2021. Additionally, we are awarded the 'IAAI Deployed Application Award.'

May 2020: Joining the SUNY Upstate Medical University, Syracuse, NY, USA, as an Assistant Professor (Voluntary faculty track).

May 2020: I am co-mentoring (with Dr. Lane and Dr. Rubinstein) some enthusiastic ECS undergrads in a COVID-19 project. Their project has made the news! .

March 2020: Paper: on anomaly state detection for autonomous systems is accepted by DAC 2020 .

Funding & Grants

NSF NIH

NSF SCH (Medium), 2021

The project title: “Collaborative Research: SCH: Psychophysiological Sensing to Enhance Mindfulness-Based Interventions for Self-Regulation of Opioid Cravings.”

[NSF Award link]

Role: Lead PI

Syracuse University Budget:$756,356

Total Budget: 1.1 million
NSF CPS (Small), 2022

The project title: “CPS: Small: Developing a Socio-Psychological CPS for the Health and Wellness of Dairy Cows.”

[NSF Award link]

Role: Co-PI

Syracuse University Budget:$500,000
NIH R-01, 2023

Title: Title: Intensive Speech Motor Chaining Treatment and Artificial Intelligence Integration for Residual Speech Sound Disorders

Role: Co-I

Grant Number: 1R01DC020959-01
NIH R-21, 2021

Title: The Influence of Contextual and Constitutional Emotional Processes on Speech Motor Control and Speech Motor Practice Effects in Early Childhood Stuttering [link]

Role: Co-I

Syracuse University Direct Budget:$275,000

Award #: 𝑅21𝐷𝐶018103
NIH R-01, 2021 - The Artificial Intelligence/Machine Learning administrative supplement award.

Title: Biofeedback-Enhanced Treatment for Speech Sound Disorder: Randomized Controlled Trial and Delineation of Sensorimotor Subtypes.

Role: Co-I

Award Action Type: Supplement for 1 year.

Syracuse University Direct Budget:$100,000

Award #: 𝑅01𝐷𝐶017476−𝑆2
CUSE Grant: Innovative & Interdisciplinary Research Grant, Syracuse University, 2021

Title: Developing a Clinical Speech Recognition System for Childhood Speech Disorders

Role: Co-PI

Awards

IAAI Deployed Application Award

The Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21)
Graduate Student Award for Outstanding Research

Department of Computer Science, UVA, 2018
Nominated for best paper award (AsthmaGuide)

Wireless health 2016
Third Annual Public Days Showcase Event (2016).

The Public Days showcase highlights exemplary scholarship, research, and creative work of the University’s undergraduate and graduate students, as well as post-docs. Our project, AsthmaGuide, was selected to represent the highest achievements of scholarship, research, and creative work from undergraduate and graduate students across Grounds
SenSys 2015 Student Grant

U.S. National Science Foundation (NSF)
Wireless Health 2014 Travel Grant

National Institutes of Health (NIH)
Dean’s List for excellent performance in an academic year

2009-2012
BUET Academic Merit List Scholarship for excellent result

In all terms, 2007-2012
Dhaka Education Board Scholarship for H.S.C. result

2007

Publication

Peer Reviewed Full Papers | Published

2024

Jingyu Xin, Brooks Gump, Stephen Maisto, Randall Jorgensen, Tej Bhatia, Vir Phoha, Asif Salekin, “Decoding Hostility from Conversations through Speech and Text Integration,” In 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE. [pdf]

'csrankings' listed Top Conference
Sawinder Kaur, Yi Xiao, and Asif Salekin, (2024). VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch. Proceedings of the AAAI Conference on Artificial Intelligence, 38(21), 22899-22905. [paper link]

Reputable Journal with Impact Factor 13.437
Quinn, Thomas P., et al. "A primer on the use of machine learning to distil knowledge from data in biological psychiatry." Nature Molecular psychiatry (2024): 1-15. [paper link]

2023

'csrankings' listed Top Conference
Yi Xiao, Harshit Sharma, Zhongyang Zhang, Dessa Bergen-Cico, Tauhidur Rahman, Asif Salekin, "Reading Between the Heat": Co-Teaching Body Thermal Signatures for Non-intrusive Stress Detection, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/Ubicomp), 7, 4, Article 189 (December 2023), 30 pages. [paper link]

'csrankings' listed Top Conference
Brian Testa, Yi Xiao, Harshit Sharma, Avery Gump, and Asif Salekin. "Privacy against Real-Time Speech Emotion Detection via Acoustic Adversarial Evasion of Machine Learning," Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/Ubicomp), 2023. [paper link] [code link]

Core A Conference, 2023
Benway, N. R., Preston, J. L., Salekin, A., Xiao, Y., Sharma, H., & McAllister, T., "Classifying Rhoticity of /ɹ/ in Speech Sound Disorder using Age-and-Sex Normalized Formants," Proc. INTERSPEECH 2023, 4563-4567: Proceedings of the 24th Annual Conference of the International Speech Communication Association (ISCA), Dublin, Ireland. doi: 10.21437/Interspeech.2023-312 [paper link]

Eric J. Barnett, Daniel G. Onete, Asif Salekin, Stephen V. Faraone, "Genomic Machine Learning Meta-regression: Insights on Associations of Study Features with Reported Model Performance," the IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023. [paper link]

Benway, N. R., Preston, J. L., Salekin, A. , and McAllister, T. (2024, February). Feature Selection for Mispronunciation Detection in Child Speech Sound Disorders Impacting /ɹ/. Signal Analytics for Motor Speech Workshop, Motor Speech 2024. San Diego, CA.

Huaiyu Shi, Andrew Kowalczewski, Danny Vu, Xiyuan Liu, Asif Salekin , Huaxiao Yang, Zhen Ma, Organoid intelligence: Integration of organoid technology and artificial intelligence in the new era of in vitro models, The Journal of Medicine in Novel Technology and Devices, Volume 21, 2024, 100276, ISSN 2590-0935, https://doi.org/10.1016/j.medntd.2023.100276. [paper link]

Manasa Kalanadhabhatta, Shaily Roy, Trevor Grant, Asif Salekin, Tauhidur Rahman and Dessa Bergen-Cico, “Detecting PTSD Using Neural and Physiological Signals: Recommendations from a Pilot Study,” In 2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE. [paper link]

Nina Benway, Rachel Theodore, Elaine Hitchcock, Yuan Rose, Asif Salekin, Wendy Liang, Tara McAllister, and Jonathan L. Preston, “Reproducible Speech Research with the Artificial-Intelligence-Ready PERCEPT Corpora,” The Journal of Speech, Language, and Hearing Research, 2023. [paper link]

2022

'csrankings' listed Top Conference
Harshit Sharma, Yi Xiao, Victoria Tumanova, Asif Salekin, “Psychophysiological Arousal in Young Children Who Stutter: An Interpretable AI Approach”, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/Ubicomp), 2022. [paper link] [code]

'csrankings' listed Top Conference
Jingyu Xin, Vir V. Phoha, Asif Salekin, "Combating False Data Injection Attacks on Human-Centric Sensing Applications", Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/Ubicomp), 2022. [paper link] [code]

Core A Conference, 2022
Nina Benway, Jonathan L. Preston, Elaine Hitchcock, Asif Salekin, Harshit Sharma and Tara McAllister, “PERCEPT-R: An Open-Access American English Child/Clinical Speech Corpus Specialized for the Audio Classification of /ɹ/”, Proc. Interspeech 2022. [paper link]

One of the top three prestigious general science journals with an Impact factor of 11.1
Cramer et al., “Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States”, The Proceedings of the National Academy of Sciences USA (PNAS), 2022. [paper link]

Zhang, Z., Xu, Z., Ahmed, Z., Salekin, A., & Rahman, T. (2022). "Hyperspectral Image Super-Resolution in Arbitrary Input-Output Band Settings," In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 749-759), 2022. [link]

2021

Y. Gao, A. Salekin, K. Gordon, K. Rose, H. Wang, J. Stankovic, “Emotion Recognition Robust to Indoor Environmental Distortions and Non-targeted Emotions Using Out-Of-Distribution Detection”, ACM Transactions on Computing for Healthcare, 2021. [link]

Salekin, Asif, and Russo, Natalie, “Understanding Autism: The Power of EEG Harnessed by Prototypical Learning,” Medical Cyber Physical Systems and Internet of Medical Things Workshop, 2021. (MCPS-21). [link]

Rahman, W., Mahbub, S., Salekin, A., Hasan, M. K., & Hoque, E. (2021, September). "HirePreter: A Framework for Providing Fine-grained Interpretation for Automated Job Interview Analysis," In 2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) (pp. 1-5). IEEE. [link]

'csrankings' listed Top Conference
Fatih Altay, Guillermo Ramón Sánchez, Yanli James, Stephen V. Faraone, Senem Velipasalar, Asif Salekin. "Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image Scans," Proceedings of the AAAI Conference on Artificial Intelligence, 35(17), 15088-15097. https://doi.org/10.1609/aaai.v35i17.17772 [pdf] [code]

2020

'csrankings' listed Top Conference
Tianjia He, Lin Zhang, Fanxin Kong, and Asif Salekin. "Exploring Inherent Sensor Redundancy for Automotive Anomaly Detection," The 57th Design Automation Conference (DAC), 2020. [pdf]

2019

A. Salekin, S. Ghaffarzadegan, Z. Feng, and J. Stankovic. "A Real-Time Audio Monitoring Framework with Limited Data for Constrained Devices," the 15th International Conference on Distributed Computing in Sensor Systems (DCOSS 2019). [pdf]

Core A Conference, 2019
Z. Chen, M. Ahmed, A. Salekin, and John A. Stankovic, "ARASID: Artificial Reverberation-Adjusted Indoor Speaker Identification Dealing with Variable Distances," the International Conference on Embedded Wireless Systems and Networks (EWSN), 2019. [paper link]

2018

'csrankings' listed Top Conference
A. Salekin, Jeremy W. Eberle, Jeffrey J. Glenn, Bethany A. Teachman, and John A. Stankovic. 2018. "A Weakly Supervised Learning Framework for Detecting Social Anxiety and Depression," ACM Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT), Vol. 2, No. 2, Article 81 (June 2018), 26 pages. (and Ubicomp 2018) [pdf] [code]

2017

'csrankings' listed Top Conference
A. Salekin, Z. Chen, M. Ahmed, J. Lach, D. Metz, K. de la Haye, B. Bell, and J. Stankovic, "Distance Emotion Recognition," ACM Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT), Vol. 1, Issue 3, Sept. 2017, 96:1-96:24 (Ubicomp 2017) [pdf]

A. Salekin, H. Wang, K. Williams, and J. Stankovic, "DAVE: Detecting Agitated Vocal Events," The IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), July 2017. [pdf]

2016

A. Salekin, and J. Stankovic, "Detection of chronic kidney disease and selecting important predictive attributes," IEEE International Conference on Healthcare Informatics (ICHI), 2016 [pdf]

A. Salekin, Ho-Kyeong Ra, Hee Jung Yoon, Jeremy Kim, Shahriar Nirjon, David J. Stone, Sujeong Kim, Jong-Myung Lee, Sang Hyuk Son, and John A. Stankovic, "AsthmaGuide: an asthma monitoring and advice ecosystem," IEEE Wireless Health 2016 [pdf]

Prior to 2016

S. Nirjon, I. Emi, A. Mondol, A. Salekin, and J. Stankovic, "MOBI-COG: A Mobile Application for Instant Screening of Dementia Using the Mini-COG Test," Wireless Health, Oct. 2014. [pdf]

A. Salekin , J. Tabassum, and M. Hasan, Extract and rank web communities, Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics (WIMS), 2013 [pdf]

MD. Rahman, S. Rahman, R. Hasan, R. Noel, A. Salekin, A Novel Approach for Constructing Emulator for Microsoft Kinect XBOX 360 Sensor in the .NET Platform, International Conference on Intelligent Systems, Modelling and Simulation (ISMS), 2013 [pdf]

MD. Rahman, MD. Rahman, A. Salekin, S.H. Chowdhury, S.A. Anik, A Novel Clustering-Based Ensemble Classification Model for Block Learning, International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2013 [pdf]

MD. Rahman, MD. Rahman, A. Salekin, A.S. Andalib, A Novel Approach for Generating Clustered Based Ensemble of Classifiers, International Journal of Machine Learning and Computing, Vol. 3, Issue. 1, Page 137, 2013 [pdf]

A. Salekin, M. Islam, MD. Rahman, Composite Pattern Matching in Time Series, International Conference on Computer and Information Technology (ICCIT), 2012 [pdf]

A. Salekin, MD. Rahman, Pattern matching in time series using combination of neural network and rule based approach, International Conference on Electrical and Computer Engineering (ICECE), 2012 [pdf]

A.S. Andalib, A. Salekin, M.R. Islam, M. Abdulla-Al-Shami, Novel approaches for detecting fabric fault using artificial neural network with k-fold validation, International Conference on Computer and Information Technology (ICCIT), 2012 [pdf]

Patent

System and Method for Audio Event Detection in Surveillance Systems (01/07/2021) [Link]

A. Salekin, Shabnam Ghaffarzadegan, Zhe Feng

Posters, Demos, and Newsletters

A. Salekin, Jeremy W. Eberle, Jeffrey J. Glenn, Bethany A. Teachman, and John A. Stankovic, I Can Hear it in Your Voice: A Weakly Supervised Machine Learning Framework for Detecting Social Anxiety and Depression Symptoms from Features of Speech, ABCT's 52nd Annual Convention, 2018

A. Mondol, H. Ra, A. Salekin, H. Yoon, M. Kubovy, S. Son, J. Stankovic, Poster Abstract: LifeMaps - An Automated Diary System Based on the Structure of Lives, Sensys, 2016

Ho-Kyeong Ra, Hee Jung Yoon, A. Salekin, Jin-Hee Lee, John A Stankovic, Sang Hyuk Son, Poster Abstract: Software architecture for efficiently designing cloud applications using node.js, 14th Annual International Conference on Mobile Systems, Applications, and Services Companion, 2016

A. Salekin, H. Wang, J. Stankovic, Demo Abstract: KinVocal: Detecting Agitated Vocal Events, SenSys, 2015

Ho-Kyeong Ra, A. Salekin, Hee Jung Yoon, Jeremy Kim, Shahriar Nirjon, David J. Stone, Sujeong Kim, Jong-Myung Lee, Sang Hyuk Son and John A. Stankovic, Demo Abstract: AsthmaGuide: An Ecosystem for Asthma Monitoring and Advice, SenSys, 2015

R.R. Noel, A. Salekin, R. Islam, S. Rahaman, R. Hasan, H.S. Ferdous, A natural user interface classroom based on Kinect, IEEE Learning Technology Newsletter, Volume 13, October 2011

Experience

Assistant Professor (Tenure-track)

Department of Electrical Engineering and Computer Science

Syracuse University, Syracuse, NY, USA

In the fourth year of the tenure track.
Assistant Professor (Voluntary faculty track)

Department of Psychiatry

SUNY Upstate Medical University, Syracuse, NY, USA

2020 - now
Research Intern

BHAG Realization Lab

Nokia Bell Labs, Murray hill, New Jersey, USA

June 2018 - Aug 2018
Research Intern

Human-Machine Interaction Group, RTC 1.2

BOSCH Research and Technology Center, California, USA

May 2017 - Oct 2017
Graduate Research Assistant

University of Virginia

Advisor: Professor John A. Stankovic

May 2014 – Present
Graduate Teaching Assistant

University of Virginia

Aug 2013 – May 2014

Hold office hours and graded homework and exams for over 300 students in Course: Algorithms.
Lecturer

Ahsanullah University of Science and Technology (AUST)

Oct 2012 – Aug 2013

Instructed undergraduate courses including: Algorithms, Network Programming, Operating Systems.
Lecturer

BRAC University (BRACU)

May 2012 – Oct 2012

Instructed undergraduate courses including: Operating Systems, Introduction to Programming Language: Java.

Education

PhD in the Department of Computer Science

University of Virginia

Advisor: Professor John A. Stankovic

Graduation: 2019

DIPLOMA VALIDATION:

CeDiD: 19MA-CKEH-AKNA

First two letters of the name: AS

Validation site: http://www.virginia.edu/registrar/cedipl-validate.html
Masters in the Department of Computer Science

University of Virginia

Advisor: Professor John A. Stankovic

Graduation: 2016

DIPLOMA VALIDATION:

CeDiD: 16AB-A21E-A8N3

First two letters of the name: AS

Validation site: http://www.virginia.edu/registrar/cedipl-validate.html
BSc in the Department of Computer Science and Engineering

Bangladesh University of Engineering and Technology

Graduation: 2012

Students

UIS-Students

Current Ph.D. Students:

Yi Xiao

Harshit Sharma

Sawinder Kaur

Jingyu Xin (Co-advised)

Brian Philip Testa

Shaily Roy
M.S. Students:

Laxman Kumar

Guillermo Ramon Sanchez

Lohith Srikanth Pentapalli

Anusha Prakash

Jeffrey Ching

Mudit Dham

Fang Ziqi
Current Undergraduate Students:

Avery T. Gump

Peter Cheng
High-School Students:

Samuel Benitez, 2023 (Pritzker College Prep in Chicago)

Amelia Grimshaw, 2023 (ITC High School)

Elijah Barboza, 2022 (Cicero-North Syracuse High School)

Teaching Experience

Instructor: Ubiquitous Computing(Course Description)

Course #CIS 700, SU, Spring, 2021, 2022, 2023.
Instructor: Machine Learning for IoT Applications

Course #CIS 700, SU, Spring, 2020.
Instructor: Design and Analysis of Algorithm (Graduate-Level)

Course #CIS 675, SU, Fall 2019, 2020, 2021, 2022, 2023
Instructor: Design and Analysis of Algorithm (Undergraduate-Level)

Course #CIS 477, SU, Spring, 2022, 2023.
Invited lecturer: Two lectures on Machine learning for IoT and CPS

Course: The Internet of Trillions of Things (Graduate level), UVA, Fall 2018
Invited lecturer: A lecture on Smart Connected Health

Course: Wireless Sensor Networks (Undergraduate level), UVA, Fall 2014
Mentoring (Graduate level)

Two first year PhD students (2015, 2017)

Three Masters students (2014, 2016, 2018)
Graduate Teaching Assistant

Course: Algorithm

UVA, Fall, 2013 and Spring, 2014

Hold office hours and graded homework and exams for over 300 students
Lecturer

Ahsanullah University of Science and Technology (AUST), 2012-2013

Courses: Algorithm, Network Programming, Operating Systems.

Responsibility: lecture planning, taught and instructed courses, assessing students, holding office hours, invigilating examinations
Lecturer

BRAC University (BRACU), 2012

Courses: Operating Systems, Introduction to Programming Language: Java.

Responsibility: lecture planning, taught and instructed courses, assessing students, holding office hours, invigilating examinations

Invited Talks

Robust, Fair, and Reliable Human-Centric Computing for Healthcare

Center for Technology and Behavioral Health at Dartmouth University, Jan 2024 (Scheduled).
Robust, Fair, and Reliable Human-Centric Sensing and Computing

Khoury College of Computer Sciences, Northeastern University, Nov 2023.
Robust, Multimodal, Fair, and Reliable Health Sensing and Computing'

The 10th International Conference on Networking, Systems and Security (NSysS), 2023.
Robust, Fair, and Reliable Human-Centric Sensing and Computing

ECE Departmental seminar at Clarkson University, 2023.
Psychophysiological Sensing to Enhance Mindfulness-Based Interventions for Self-Regulation of Opioid Cravings.

Crouse Hospital Addiction Treatment Services, 2023.
Ubiquitous and human-centric computing in healthcare'

Research Colloquia series, College of Electrical Engineering and Computer Science, Syracuse University, 2022.
Understanding Autism: The Power of EEG Harnessed by Prototypical Learning
Medical Cyber Physical Systems and Internet of Medical Things Workshop, 2021.
Ubiquitous and human-centric computing in healthcare
Research Exposure in Socially Relevant Computing (RESORC), Organized by Syracuse University in partnership with Google, 2021.
Adaptive Machine Learning for Human-Centric IoT Applications
IEEE Syracuse Section, Engineering in Medicine and Biology Society Chapter Event, 2020.
Machine Learning for Constrained Devices with Limited Training Data
University of Rochester, 2019.
Adaptive Machine Learning for IoT
Indiana University, Bloomington, 2019.
Machine Learning for Constrained Devices with Limited Training Data
International Workshop on NEXT-GENERATION CYBER-PHYSICAL SYSTEMS, 2018
Invited talk: 'Human Machine Interaction', BR Lab, Nokia Bell Labs, NJ, USA, 2018
Invited talk: 'Machine Learning for IOT and CPS', ENSA Lab, Nokia Bell Labs, NJ, USA, 2018
Full Paper Presentation (Project: DER), Ubicomp 2017
Full Paper Presentation (Project: DAVE), IEEE CHASE, July 2017
Invited talk: 'Novel Feature Modeling for Audio Analytics', Human Machine Interaction Lab, BOSCH Research and Technology Center, CA, USA, 2017
Poster Presentation: 'LifeMaps - An Automated Diary System Based on the Structure of Lives', Sensys, 2016
The Public Days showcase event, UVA (Project: AsthmaGuide and KinVocal), 2016
Full Paper Presentation (Project: AsthmaGuide), IEEE Wireless Health 2016
Full Paper Presentation (Project: Chronic kidney disease detection), IEEE ICHI, 2016
Poster and Demo Presentation (KinVocal: Detecting Agitated Vocal Events), SenSys, 2015
Poster and Demo Presentation (AsthmaGuide: An Ecosystem for Asthma Monitoring and Advice), SenSys, 2015
UVA Open House, 2014, 2015, 2016, 2017

Editor/Referee/Reviewer

Associate Editor

Journal: The ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT).

and the conference 'UbiComp.'
Associate Editor

Journal: ACM Transactions on Computing for Healthcare
Program Committee (PC) Member: AAAI 2022, 2023, 2024, CVPR 2021
IMWUT (UBICOMP) 2017, 2018, 2019, 2020, 2022, 2023
IFIP PERFORMANCE 2018
ISSRE 2018
DSN 2019
ACM Transactions on Cyber-Physical Systems 2019, 2020

Volunteering Experience

Student Volunteer

Wireless Health 2014
UVA Engineering Alumni Reunions 2014
Hosting Faculty Candidates (2015 & 2016)
BUET CSE Festival (2008 & 2011)
Bangladesh National Math Olympiad 2008
Co-founder and General Secretary

Association of Bangladeshi Students, UVA, 2016-2017
Community Action

Mentored two underprivileged students in their studies, 2014-2016