(Pronouns: he/him/his)
Assistant Professor (Tenure-track)
Ira A. Fulton Schools of Engineering - SBHSE
Graduate Faculty - Computer Science
Assistant Professor (Affiliated)
Syracuse University
Assistant Professor (Affiliated)
Department of Psychiatry
SUNY Upstate Medical University
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:
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
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.'
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!
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.
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.
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]
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 .
NSF SCH (Medium), 2021
The project title: “Collaborative Research: SCH: Psychophysiological Sensing to Enhance Mindfulness-Based Interventions for Self-Regulation of Opioid Cravings.”
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.”
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
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
System and Method for Audio Event Detection in Surveillance Systems (01/07/2021) [Link]
A. Salekin, Shabnam Ghaffarzadegan, Zhe Feng
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.
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
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)
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
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
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
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