Dr. Vhaduri is an assistant professor in the Department of Computer and Information Technology at Purdue University. He received Ph.D. in Computer Science and Engineering at the University of Notre Dame. His work has been featured in prestigious places such as Forbes Magazine. 

Research Laboratory: mobile Artificial Intelligence (mAI) Lab

Research Areas: AI & ML/DL/FedML, Multi-Modal Modeling, Information Integration and Informatics, Mobile & Wearable Computing, Healthcare Informatics, Biometric Authentication, Internet of Things (IoT)

Collaborators: mAI-Lab has been collaborating with interdisciplinary researchers from medical and nursing schools in different universities, including the University of Cincinnati and Indiana University, as well as industrial research institutions, including IBM Research. New collaborations are welcomed. 

List of Publications: Google Scholar Profile

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Dr. Vhaduri always looks for highly self-motivated PhD students. If you are interested in his research area, please email him your CV, transcripts, and detailed TOEFL/IELTS and GRE scores. Email: svhaduri@purdue.edu, Subject line: Research Interest at mAI Lab. 

Additional note for new graduate students: If you want to work with Dr. Vhaduri and make him your MS/Ph.D. advisor, mention his name in your online application and statements while applying for admission. 

Additional note for Purdue graduate students: If you are interested in working with Dr. Vhaduri and have already been admitted to Purdue, it is recommended that you first complete the CNIT 58100 ML for Smart Sensing or CNIT 58100 Data Fusion for ML class before contacting him.  
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Teaching:

Machine Learning for Smart Sensing (F'21, F'22, F'23, F'24),

Data Fusion for Machine Learning (S'23, S'24, ),

Database Fundamentals (S'22 - present)

Recent News:

1. Congratulations to mAI lab researchers and collaborators for their papers accepted in major conferences/journals: (1) Elsevier FGCS (a top journal in computer systems with IF 6.2), (2) Samuel got his 1st paper accepted at IEEE/ACM CHASE (published at Elsevier Smart Health journal and presents pilot trainees' stress, fatigue, and sleep disorder), (3) Willy got his 2nd paper and 1st journal paper in the Elsevier MLWA (Machine Learning with Applications Journal and presents explainability of heart rate biometric vulnerabilities), and (4) with aviation collaborators we presented AI roles in managing pilots' fatigue at 11th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications. 

2. Congratulations to my fantastic students and wonderful collaborators for their papers accepted in flagship conferences/journals: (1) IEEE TDSC (a top security journal with IF 7.3), (2) Jinjin got her 1st paper after joining us from Northwestern in INTERSPEECH (a prestigious conference in Speech/Audio processing), (3) Willy, one of our top undergraduate researchers, got his 1st paper in the ACM Computing Surveys (a top journal with Impact Factor 23.8, ranked 1/143 in Computer Science Theory & Methods in 2023), (4) IEEE EMBS OJEMB (relatively new biomedical journal with IF 5.8), and (5) Jaea, inspiration for many young females and URM students, got her 1st paper in Elsevier Smart Health Journal. 

3. I'm honored to become part of the organizing committee of the 20th IEEE-EMBS International Conference on Body Sensor Networks (IEEE BSN'23), the premier conference in the areas of sensors and systems for digital health that brings together experts from academia and industry. It's a fantastic experience working with colleagues from MIT, Harvard, UMass, Texas A&M, UVA, SUNY, Imperial College London, Shanghai Jiao Tong Uni, and the University of Freiburg. Look forward to seeing your thrilling work at the conference in MIT Media Lab, Boston, 9th – 11th October 2023.

4. Our paper on user-centric smartphone app design received the "Best Paper Runner-Up Award" at the IEEE/ACM CHASE 2022 conference, one of the major interdisciplinary conferences bridging CISE and Health Informatics.

5. Multiple projects from the mAI have been funded by undergraduate and URM research initiatives, including Discovery Undergraduate Interdisciplinary Research Internship (DUIRI) Fellowship; OUR Scholars; and Summer Stay Scholars by Office of Undergraduate Research, Purdue University (January 2022 -- present)