Asif Salekin

(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

Resume   asif  asif    asif asalekin-at-syr-dot-edu



asif

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'.

Research Interests

Pervasive and Ubiquitous Computing, Internet of Things (IoT), Machine Learning, Cyber Physical Systems (CPS), Wireless, Connected and Mobile Health.

Latest News

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.



Funding & Grants


    NSF NIH SU

  • 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-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


Experience


  • 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.



Education


  • 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




Publication

Peer Reviewed Full Papers | Published

  • 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), 2022. [paper link] [code]

  • 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), 2022. [paper link] [code]

  • 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.

  • 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). [link]

  • 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]

  • 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, The Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). [pdf] [code]

  • 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]

  • 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]

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

  • 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]

  • 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]

  • 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]

  • 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


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

    Anusha Prakash

    Jeffrey Ching

    Mudit Dham

    Fang Ziqi



Teaching Experience


  • 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



Invited Talks


  • 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



Referee/Reviewer


  • Associate Editor

    Journal: ACM Transactions on Computing for Healthcare

  • Program Committee (PC) Member: AAAI 2022, CVPR 2021

  • IMWUT (UBICOMP) 2017, 2018, 2019, 2020, 2022

  • 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



© Asif Salekin | asalekin@gmail.com