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

I am a PhD candidate and a research assistant at the Distributed Object Programming Lab at UNIL-HEC, Switzerland. I joined the research group in November 2015. Prior to starting my PhD, I completed M.Sc. in Communication Technology from Technische Universität Berlin, Germany and an M.Sc. in Embedded Systems from Technische University Eindhoven, Netherlands. I also hold a minor in Entrepreneurship and Innovation from EIT Digital. I hold a bachelors degree in Electronics and Telecommunication Engineering from Goa College of Engineering, India. My Master’s thesis was in the area of wireless coexistence for low power wireless devices which I conducted at the Distributed Systems Group – ETH Zürich. For a detailed CV, click here.

Research Interests

Privacy-preserving systems for location-based services, Mobility modeling and prediction, Mobility behavior analysis.


V. Kulkarni, A. Mahalunkar, B. Garbinato, J. D. Kelleher
On the Inability of Markov Models to Capture Criticality in Human Mobility
Preprint arXiv

V. Kulkarni, B. Chapuis, B. Garbinato, A. Mahalunkar
Addressing the Free-Rider Problem in Public Transport Systems
Preprint arXiv

V. Kulkarni, A. Moro, B. Chapuis, B. Garbinato
Capstone: Mobility Modeling on Smartphones to Achieve Privacy by Design
Preprint arXiv (Published in the proceedings of IEEE TrustCom-2018)

V. Kulkarni, B. Garbinato
Generating Synthetic Mobility Traffic using Recurrent Neural Networks
ACM SIGSPATIAL Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery (GeoAI’17), Redondo Beach, California, USA

V. Kulkarni, B. Chapuis, B. Garbinato.
Privacy-Preserving Location-Based Services by using Intel Software Guard Extensions
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
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
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
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

SP 2018: Emerging distributed architectures
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
Arnaud Gerosa – Addressing the free-rider problem in public-transit systems via linear optimizations

I am looking for master thesis students for the topics related to: Reinforcement learning, Generative adversarial networks

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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