Vaibhav Kulkarni

PhD Candidate – Distributed Object Programming Lab (DopLab)
Université de Lausanne
Département des Systèmes d’Information (ISI)
Faculté des Hautes Etudes Commerciales (HEC)

Quartier UNIL-Dorigny ,  Bâtiment Internef
Office: 128.3,  CH-1015 Lausanne
Phone: 021 692 35 80
Email: firstname.lastname at unil dot ch


Short Curriculum Vitae

Vaibhav Kulkarni is a PhD candidate and a research assistant at the Distributed Object Programming Lab at University of Lausanne, Switzerland. He joined the group in November 2015. He holds a dual masters degree in Communication Technology from Technische Universität Berlin, Germany and Embedded Systems from Technische University Eindhoven, Netherlands and a minor in Entrepreneurship and Innovation from EIT Digital. He holds a bachelors degree in Electronics and Telecommunication Engineering from Goa College of Engineering, India. Prior to joining DopLab, he conducted his master thesis at the Distributed Systems Group – ETH Zürich in the area of wireless coexistence for low power wireless devices. For a detailed CV, click here.

Research Interests

Privacy-preserving systems for location-based services

Mobility modeling and prediction

Mobility behavior analysis


March 2017: Gave a talk at the intech meetup in Skopje
November 2016: I am attending ACM SigSpatial 2016 at San Francisco, California.
October 2016 – I attended Mobicom’16 in New York, USA and presented my poster.
September 2016 – Our Paper “Capturing Complex Behaviour for Predicting Distant Future Trajectories” is accepted for publication at 5th ACM SIGSPATIAL Workshop on Mobile Geographic Information Systems (MobiGIS’16), San Francisco, California.
September 2016 – Our paper ” MobiDict – A Mobility Prediction System Leveraging Realtime Location Data Streams”
is accepted for publication at ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS’16), San Francisco, California.
August 2016 – Our Poster “A Mobility prediction System Leveraging Realtime Location Data Streams” is accepted to appear at ACM Mobicom’16 at New York, USA
June 2016 – I passed my critical reading exam at Journée des doctorants. (reading exam .pdf)
February 2016 – Attended the winter school “Taming Big Data: From management and curation to storage and analysis” at Champéry,  Switzerland
January 2016 – Attended the winter school “Design Science & Design Thinking” at Ovronnaz, Switzerland
November 2015 – Started my PhD at the Information Systems Department, University of Lausanne under Prof. Benoît Garbinato


V. Kulkarni, B. Chapuis, B. Garbinato. “Privacy-Preserving Location-Based Services by using Intel Software Guard Extensions”(to appear). ACM International Workshop on Human-centered Sensing, Networking, and Systems (HumanSys@ACM Sensys-17), Delft, Netherlands.

V. Kulkarni, A. Moro, B. Chapuis, B. Garbinato. “Extracting Hotspots without A-priori by Enabling Signal Processing over Geospatial Data”(to appear). 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2017), LA – California, USA

Bertil Chapuis, Arielle Moro, Vaibhav Kulkarni, Benoît Garbinato
Capturing Complex Behaviour for Predicting Distant Future Trajectories
(To appear) 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems (MobiGIS’16), San Fransisco, California, USA

Vaibhav Kulkarni*, Arielle Moro*, Benoît Garbinato (*co-first authors)
MobiDict – A Mobility Prediction System Leveraging Realtime Location Data Streams
(To appear) 7th ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS) 2016, San Fransisco, California, USA

Anwar Hithnawi, Vaibhav Kulkarni, Su Li, Hossein Shafagh
Controlled Interference Generation for Wireless Coexistence Research
Proceedings of the Software Radio Implementation Forum (SRIF@MobiCom’15). Paris, France. pp. 19-24, September 2015


Vaibhav Kulkarni*, Arielle Moro*, Benoît Garbinato (*co-first authors)
Poster: A Mobility prediction System Leveraging Real-Time Location Data Streams
Proceedings of the 22nd ACM International Conference on Mobile Computing and Networking (MobiCom’16)

Teaching Assistant

FS 2017: Algorithms and Computational Thinking
SP 2017: Informatique II
FS 2016: Introduction to Distributed Systems
FS 2016: Algorithms and Computational Thinking
FS 2015: Introduction to Distributed Systems

Thesis Students

Yannick Patschke – Applying machine learning for generating synthetic geospatial trajectories
Viktor Komplita – Leveraging trusted execution environments for privacy aware mobility prediction

Prior to DopLab

Distributed Systems Group – ETH Zürich  (Zürich, Switzerland)

I worked on my Master Thesis “Facilitating Wireless Coexistence Research”, under Anwar Hithnawi, Hossein Shafagh and Prof. Dr. Friedemann Mattern.  I studied and implemented the spatial and temporal characteristics of devices operating in 2.4Ghz spectrum on a software defined radio to facilitate coexistence experimentation. I also developed and implemented an algorithm to pinpoint the localize rouge interfering wireless radios using commodity sensor nodes. (Master Thesis .pdf) (source code .github)

Electronic Systems Group – TU/Eindhoven (Eindhoven, Netherlands)

I worked with Dr. Majid Nabi , to explore means of generating controllable interference using off the shelf sensor nodes. (paper .pdf) (source code .github)

I also conducted a project “Trickle–Scanning: An Energy Efficient Multichannel Communication Approach in Low Power Networks” in collaboration with University of Twente, Enschede, Netherlands. (Paper .pdf)

Telecommunications and Network group – TU Berlin (Berlin, Germany)

I conducted a project under Dr. Vlado Handziski related to virtual music instrument control using sensor networks. (slides .pdf)

EIT Digital (Helsinki, Finland)

Here, I conducted my Minor Thesis related to Bringing Wireless Coexistence Experimentation Tools to the Market under Dr. Raymond Opdenakker . (Minor Thesis .pdf)

Goa College of Engineering (Goa, India)

I conducted my Bachelor Thesis “Cumulative Probability based Surveying and Absolute Positioning System for Mobile Robots” related to positioning and localising swam of mobile robots. (paper .pdf)

Inventrom (Panjim, Goa)

I also worked for an internet of things startup, Inventrom to design embedded platforms and Interned at National Institute of Oceanography.

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