Ph.D. student Ronald Tutor Hall (RTH) 323 Computer Science Department Viterbi School of Engineering University of Southern California Email: riteshah@usc.edu

Biography

I am a fourth year Ph.D. candidate in Computer Science at the University of Southern California. My advisor is Prof. Cyrus Shahabi. I completed my Bachelors degree in Computer Science from Hong Kong University of Science and Technology (HKUST). I also obtained a research-based M.Phil. in CS at HKUST in 2016, under the supervision of Prof. Dimitris Papadias.

My research interest is in differential privacy and statistical inference, with a focus on mobility data publishing, machine learning, data structures & indexing, and others. More information is available on my CV.

Conference Publications

• Ritesh Ahuja, Gabriel Ghinita, and Cyrus Shahabi, Differentially Private Next Location Prediction with neural networks, International Conference on Extending Database Technology (EDBT), Copenhagen, Denmark, March 2020
• Ritesh Ahuja, Gabriel Ghinita, and Cyrus Shahabi, A Utility-Preserving and Scalable Technique for Protecting Location Data with Geo-Indistinguishability, International Conference on Extending Database Technology (EDBT), Lisbon, Portugal, March 2019
• Mingxuan Yue, Yaguang Li, Haoze Yang, Ritesh Ahuja, Yao-yi Chiang, and Cyrus Shahabi, DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis, IEEE Big Data 2019, Los Angeles, December 9-12
• Ritesh Ahuja, Gabriel Ghinita, Nithin Krishna, and Cyrus Shahabi, Protecting Against Inference Attacks on Co-location Data, International Conference on Computer Communications and Networks (ICCCN), Valencia, Spain, July 2019
• Nikos Armenatzoglou, Ritesh Ahuja, Dimitris Papadias, ”Geo-Social Ranking: Functions and Query Processing., Very Large Data Bases Journal (VLDBJ), 2015
• Ritesh Ahuja, Diverse Geo-Social Keyword Search, M.Phil Thesis at HKUST, Hong Kong 2016


• Ritesh Ahuja, Nikos Armenatzoglou, Dimitris Papadias, and George J. Fakas, Geo-Social Keyword Search, Proceedings of the International Symposium on Spatial and Temporal Databases (SSTD), Hong Kong, 2015

Experience

• Teaching Experience
  Teaching Assistant, 2017/08 - 2019/12
  Extensive teaching experience in masters courses related to Geospatial Data Management and Privacy (CSCI 587, USC), Advanced Algorithms (CSCI 570, USC), and Database Management Systems (CSCI 5311, HKUST). I was the head TA for Advanced Algorithms for three semesters. I conducted lecture sessions (when requried), reviewed sessions for exams, designed written assignments and exams. For the course on Geospatial Data Management and Privacy, I taught several lecture sessions on data privacy, designed and implemented from scratch engaging programming assignments on spatial and social data management in C++, which constituted 30% of course grade.
• Visiting Scholar at Ludwig-Maximilians-Universitt, Munchen
  Department of Computer Science, Database Systems Group Invited to work on geo-spatial data analytics system. Supervisor: Prof. Dr. Matthias Renz
• Rsearch Projects at Infolab, USC
  Research Assistant, 2018 - Present
  Worked on Projects related to dense trajectory clustering, traffic prediction, and mobility behavior discovery.
  Implemented algorithms over the Archived Transportation Data Management System (ADMS) at USC.