(Pronouns: he/him/his)
Assistant Professor
Department of Electrical Engineering and Computer Science
Syracuse University
Assistant Professor (Affiliated)
Department of Psychiatry
SUNY Upstate Medical University
asalekin-at-syr-dot-edu
I am directing the Laboratory for Ubiquitous and Intelligent Sensing (UIS Lab) at Syracuse University. My research takes a multi-disciplinary approach to developing novel and practical sensing technologies. My research interests go beyond the conventional learning or sensing approaches and address the research challenges, such as the uncertainties in physical world sensing, interpretability of ML inference, human factors such as the user-context and mobility, limitation of current technologies (i.e., IoT, CPS), trustworthiness and reliability in automated sensing and actuation/intervention, and resource constraints of the sensing data and computation platform. A core focus of my research program is to integrate passive sensing and interpretable AI to advance health assessment, identify latent markers, and automate health monitoring and interventions. My recent and ongoing works include passive assessment of mental health and affective states; automated assessment of opioid craving in opioid use disorder individuals and providing reliable, trustworthy, and just-in-time interventions to mitigate craving; automated assessment of socio-behavioral well-being of dairy cattle and providing adaptive just-in-time interventions to the farmers; understanding mental and sensorimotor factors of children-stuttering; automated monitoring of asthma and dementia patients; identify markers of chronic kidney disease (CKD); interpret health-related atypical brain-activity patterns from EEG and MRI (fMRI) signals, etc.
Affiliations: I am affiliated with Aging Studies Institute, Syracuse University , and an Assistant Professor (voluntary track) at SUNY Upstate Medical University, Syracuse, NY, USA.
Announcements! I am looking for motivated Ph.D. students. Interested students should send their curriculum vitae, transcripts, and a paragraph or two detailing their research experiences via email, with the subject as 'Ph.D. admission at Syracuse University'.
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 in collaboration with Dr. Victoria Tumanova (Communication Sciences, SU) 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. 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 with '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 .
May 2019: I will join the Department of Electrical Engineering and Computer Science at Syracuse University as a Tenure-track Assistant Professor from Fall 2019.
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
Assistant Professor (Tenure-track)
Department of Electrical Engineering and Computer Science
Syracuse University, Syracuse, NY, USA
Aug 2019 - now
Assistant Professor (Voluntary faculty track)
Department of Psychiatry
SUNY Upstate Medical University, Syracuse, NY, USA
June 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: June 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: May 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: April 2012
System and Method for Audio Event Detection in Surveillance Systems (01/07/2021) [Link]
A. Salekin, Shabnam Ghaffarzadegan, Zhe Feng
Instructor: Ubiquitous Computing(Course Description)
Course #CIS 700, SU, Spring, 2021, 2022.
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
Instructor: Design and Analysis of Algorithm (Undergraduate-Level)
Course #CIS 477, SU, Spring, 2022.
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
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
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