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.
Research Areas: Multi-Modal Modeling, Information Integration and Informatics, Mobile & Wearable Computing, AI & ML/DL/FedML, Internet of Things (IoT), Healthcare Informatics, Biometric Authentication
Affiliations: The Center for Education and Research in Information Assurance and Security (CERIAS), Purdue Institute of Inflammation, Immunology and Infectious Disease (PI4D), The Center of the Environments (C4E), The Institute of Electrical and Electronics Engineers (IEEE), IEEE Computer Society, IEEE Signal Processing Society, IEEE Engineering in Medicine and Biology Society, IEEE Geoscience and Remote Sensing Society; also, closely work with the Center for Instructional Excellence (CIE) and Purdue University Innovative Learning.
Lab and Research Projects: Dr. Vhaduri leads the mobile and wearable artificial intelligence (mAI) Lab and works in interdisciplinary collaborative teams consisting of researchers from a range of disciplines from academic and industrial research institutions in the US and Europe, including IBM Research. His research focuses on artificial intelligence (machine learning, deep learning, data mining, and data analytics) and mobile & wearable computing with a goal to innovate impactful and sustainable secure technological solutions through information integration toward empowering people in order to improve their quality of life using personal devices, such as smartphones and wearables, interconnected via the Internet-of-Things (IoT). To achieve this goal, his research integrates three major application areas: (1) HEALTH INFORMATICS, (2) BIOMETRIC AUTHENTICATION, and (3) PLACE DISCOVERY. Dr. Vhaduri's work involves the analysis of large-scale human study datasets collected through the mobile crowd-sensing (MCS) paradigm. His work has been featured in prestigious places such as Forbes Magazine. More information about the projects can be found on my personal website.
Dr. Vhaduri has 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.
Dr. Vhaduri is actively looking for smart graduate students (both master's and Ph.D.) and undergraduate students who are 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: firstname.lastname@example.org) 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 should attach their transcript(s) and mention detailed GRE/TOEFL scores in their CVs.
Additional note for new graduate students: If you want to work with Dr. Vhaduri, make him your MS Thesis or Ph.D. Dissertation advisor, mention his 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 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.
New Collaborations: Collaboration is the best way to grow as a community and make an impact on society. While Dr. Vhaduri is thankful to his fantastic collaborators, he is looking forward to expanding the collaboration across the globe. If you are interested in collaborating with him on similar impactful research areas, please do reach out to Dr. Vhaduri (email@example.com).
Machine Learning for Smart Sensing (F'21, F'22, F'23),
Data Fusion for Machine Learning (S'23, ),
Database Fundamentals (S'22 - present)
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 14.3), (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.
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.
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)
My Research Interests
Information Integration and Informatics
Machine Learning, Mobile/Wearable Computing, and IoT