I am an assistant professor in the Computer and Information Technology Department at Purdue University. I received my Ph.D. in Computer Science and Engineering at the University of Notre Dame with Prof. Christian Poellabauer. I completed my M.Sc. in Computer Science from the University of Memphis and B.Sc. in Computer Science and Engineering from the Bangladesh University of Engineering and Technology.
I am leading interdisciplinary collaborative research teams consisting of researchers from a range of disciplines, including sociology, psychology, medical sciences, laryngology, otolaryngology, speech-language pathology, communication sciences and disorders, health sciences, behavioral sciences, statistics, mathematics, and electrical engineering; from the top academic and industrial research institutions in the US and Europe, including IBM Research.
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Message for Prospective Students
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I have multiple funded Ph.D. openings in ML/DL/FedML, IoT, and Mobile & Wearable Computing (find details HERE). It’s a plus to have a prior publication record and an MS.
I am actively looking for smart graduate students (both master’s and Ph.D.) and undergraduate students, who are self-motivated to make a difference in their lives through impactful and innovative sustainable secure socio-technical research contributions.
If you are interested in working with him, please send an email (to: svhaduri@purdue.edu) with the subject line “Research Interest at mAI Lab.” While emailing, please attach a CV and a paragraph or two detailing your research experiences and interests similar to THIS LIST of projects. Graduate students are recommended to attach their transcript(s) and mention GRE/TOEFL scores in the CV.
Additional note for new graduate students: If you want to work with me and make me your MS Thesis or Ph.D. Dissertation advisor, mention my name in your online application and statement of purpose while applying for admission.
Additional note for Purdue graduate students: If you are interested in working with me and have already been admitted to Purdue, it is recommended that you first complete the CNIT 58100 ML for Smart Sensing class before contacting me.
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Our Research: I direct the Mobile Artificial Intelligence Laboratory (mAI-Lab). My research focuses on artificial intelligence (machine learning, deep learning, data mining, and data analytics) and mobile & wearable computing with a goal of innovating impactful and sustainable secure solutions towards empowering people in order to improve their quality of life using their own mobile devices, such as smartphones and wearables, interconnected via the Internet-of-Things (IoT). To achieve this goal my research integrates three major application areas: (1) health informatics leveraging smartphone and wearable sensing, (2) continuous and implicit user authentication using various physiological and behavioral biometrics measured by IoT wearables, and (3) reliable discovery of places of interest (POI) utilizing various types of alternative sensor data when location data is unavailable or less accurate. My work involves the analysis of large-scale human study datasets collected through the mobile crowdsensing (MCS) paradigm. My work has been featured in prestigious places such as Forbes Magazine. Project details can be found here.
New Collaborations: Collaboration is the best way to grow as a community and make an impact on society. While I am thankful to my fantastic collaborators, I am looking forward to expanding the collaboration across the globe. If you are interested in collaborating with me on similar impactful research areas, please do reach out to svhaduri@purdue.edu.
Memberships: I am a member of IEEE, IEEE Computer Society, IEEE Signal Processing Society, IEEE Geoscience and Remote Sensing Society, and IEEE Engineering in Medicine and Biology Society. At Purdue University, I am affiliated with the Center for Education to Research in Information Assurance and Security (CERIAS), Purdue Institute of Inflammation, Immunology and Infectious Disease (PI4D), and the Center of the Environments (C4E) to achieve UN’s Sustainable Development Goals (SDGs). I was affiliated with the Fordham Center for Community-Engaged Learning (CCEL) (2019-21). I also interacted with the Interdisciplinary Center for Network Science and Applications (iCeNSA) at the University of Notre Dame (2015-19). I was also a member of the International Society for Optics and Photonics (SPIE) (2017).
Fun Fact: I enjoy my time traveling for sightseeing and exploring new things, including food, music, history, and culture. I find great pleasure in knowing people and their stories. My first skydiving was full of fun (clip is available at the bottom of this page).
My CS Genealogical Tree: My doctoral supervisor was Christian Poellabauer (GTech), and his was Karsten Schwan (CMU), and his was Anita K. Jones (CMU), and hers was A. Nico Habermann (Technische Hogeschool Eindhoven), and his was Edsger Wybe Dijkstra (Universiteit van Amsterdam), and his was Aad van Wijngaarden, and his was Cornelis Benjamin Biezeno.
Sudip Vhaduri 