Curriculum Vitae. Contact Information. Education. Professional Experience. Adish Singla
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1 Contact Information Curriculum Vitae Adish Singla ETH Zurich, CAB F 65.1 Phone: Universitaetstrasse 6 adish.singla@inf.ethz.ch 8092 Zurich, Switzerland Web: Education ETH Zurich, Switzerland - Ph.D. Candidate in Computer Science - 01/2012 present - Advisor: Prof. Andreas Krause - Dissertation Title: Learning and Incentives in Crowd-Powered Systems EPFL, Switzerland - M. Sc. in Computer Science - 10/ /2008 Indian Institute of Technology (IIT) Delhi, India - Bachelor of Technology in Computer Science and Engineering - 07/ /2006 Professional Experience Microsoft Research, Cambridge, UK - Research Intern with Dr. Pushmeet Kohli and Dr. Eric Horvitz - 09/ /2014 Microsoft Research, Redmond, USA - Research Intern with Dr. Ryen White and Dr. Eric Horvitz - 09/ /2013 Microsoft Bing, Bellevue, USA - Senior Development Lead - 10/ /2012 Logitech-EPFL Incubator, Lausanne, Switzerland - Research Intern with Pascal Eichenberger and Prof. Touradj Ebrahimi - 02/ /2008 ICSI, Berkeley, USA - Research Fellow with Dr. Dilek Hakkani-Tür and Prof. Nelson Morgan - 09/ /2008 EPFL, Switzerland - Research Intern with Prof. Roger Hersch - 01/ /2005 1
2 Awards and Achievements - Facebook Fellowship in the area of Machine Learning, Microsoft Research Tech Transfer Award, Microsoft Gold Star Award, Scholarship by IDIAP, Switzerland for pursuing a research fellowship at ICSI, Berkeley, USA, Scholarship awarded by EPFL for the entire period of Master studies, Secured All India Rank 7 and IIT Delhi Zone Rank 1 in the nationwide IIT examinations, Scholarship awarded by the National Talent Search Examination (NTSE) program for the entire period of education in India, 1999 Teaching Assistant at ETH Zurich - Probabilistic Foundations of Artificial Intelligence (Fall 2015, Fall 2012) - Data Mining: Learning from Large Data Sets (Spring 2014, Spring 2013, Spring 2012) - Introduction to Learning and Intelligent Systems (Spring 2016, Spring 2015) Advising Experience at ETH Zurich Michael Hochstrasser, Master Thesis - Topic: Automated Species Identification from Sound using Machine Learning - 11/2016 present Simon Hatt, Master Thesis - Topic: Predictive Planning for Shared Mobility Systems - 05/ /2016 Christoph Hirnschall, Master Thesis - Topic: Online Learning with Structural Information with Applications to Online Marketplaces - 04/ /2016 Nico Neureiter, Master Thesis - Topic: A Bayesian Approach to Learning Hemimetrics - 03/ /2016 Pushpak Pati, Semester Project - Topic: Learning to Incentivize Users for Exploration and Information Gathering - 02/ /2016 Philipe Fatio, Master Thesis - Topic: Understanding Station-Less, Free-Floating Electric Scooter Sharing Systems - 09/ /2016 Alexander Cebulla, Semester Project - Topic: Feature Transformation and Selection for Predicting Ultrafine Particle Concentrations - 02/ /2015 Philipe Fatio, Semester Project - Topic: Bike Sensing - 08/ /2014 Marco Santoni, Master Thesis 2
3 - Topic: Incentives for Optimizing Bike Sharing Systems - 02/ /2014 Ian Lienert, Master Thesis - Topic: Exploiting Side Information in Partial Monitoring Games - 05/ /2013 Marco Santoni, Semester Project - Topic: Budget Feasible Mechanisms for Adaptive Submodular Utility Functions - 02/ /2013 Andreas Tschofen, Master Thesis - Topic: Joint Inference of Concepts and Networks of Documents - 10/ /2013 Professional Service Workshop Organization - NIPS 2016 Workshop on Crowdsourcing and Machine Learning (CrowdML), with Prof. Rafael Frongillo and Dr. Matteo Venanzi - ICML 2015 Workshop on Crowdsourcing and Machine Learning (CrowdML), with Prof. Rafael Frongillo and Dr. Matteo Venanzi - NIPS 2014 Workshop on Crowdsourcing and Machine Learning (CrowdML), with Dr. Chien-Ju Ho, Prof. David Parkes, Nihar Shah, and Dr. Dengyong Zhou - ICML 2013 Workshop on Crowdsourcing and Human Computation, with Prof. Xi Chen, Dr. Gagan Goel, Nihar Shah, and Dr. Dengyong Zhou Conference Reviewing - Conference on Computer-Supported Cooperative Work and Social Computing (CSCW): International Conference on Machine Learning (ICML): 2016, AAAI Conference on Human Computation and Crowdsourcing (HCOMP): 2016, International Conference on Artificial Intelligence and Statistics (AISTATS): Conference on Neural Information Processing Systems (NIPS): 2015, International Joint Conference on Artificial Intelligence (IJCAI): 2015, Conference on Artificial Intelligence (AAAI): International Conference on Knowledge Discovery and Data Mining (KDD): 2015, International World Wide Web Conference (WWW): 2014, Conference on Web and Internet Economics (WINE): 2014, 2013 Journal Reviewing - Journal of Artificial Intelligence Research (JAIR): 2016, 2015, Neural Computation (NECO): Transactions on Intelligent Systems and Technology (TIST): 2016, Transactions on Mobile Computing (TMC): 2016, 2015, Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS): Transactions on Sensor Networks (TOSN):
4 Invited Talks Learning and Incentives in Crowd-Powered Systems - Microsoft Research, Redmond (02/2016) - University of Washington, Seattle (02/2016) - Stanford University (11/2015) - Facebook, Menlo Park (11/2015) Mechanism Design for Crowdsourcing Markets with Heterogeneous Tasks - Conference of the International Federation of Operational Research Societies (IFORS), Barcelona (07/2014) Human Learning and Teaching - Microsoft Research Asia, Beijing (06/2014) Learning and Incentives in Human Computation - Harvard University (12/2014) - University of Washington, Seattle (12/2013) Publications Conference Papers (C1) Actively Learning Hemimetrics with Applications to Eliciting User Preferences - Adish Singla, Sebastian Tschiatschek, and Andreas Krause - International Conference on Machine Learning (ICML), 2016 (C2) Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization - Adish Singla, Sebastian Tschiatschek, and Andreas Krause - Conference on Artificial Intelligence (AAAI), 2016 (C3) Learning and Feature Selection under Budget Constraints in Crowdsourcing - Besmira Nushi, Adish Singla, Andreas Krause, and Donald Kossmann - AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2016 (C4) Evaluating Task-Dependent Taxonomies for Navigation - Yuyin Sun, Adish Singla, Tori Yan, Andreas Krause, and Dieter Fox - AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2016 (C5) Incentivizing Users for Balancing Bike Sharing Systems - Adish Singla, Marco Santoni, Gábor Bartók, Pratik Mukerji, Moritz Meenen, and Andreas Krause - Conference on Artificial Intelligence (AAAI), 2015 (C6) Information Gathering in Networks via Active Exploration - Adish Singla, Eric Horvitz, Pushmeet Kohli, Ryen White, and Andreas Krause - International Joint Conference on Artificial Intelligence (IJCAI), 2015 (C7) Building Hierarchies of Concepts via Crowdsourcing - Yuyin Sun, Adish Singla, Dieter Fox, and Andreas Krause - International Joint Conference on Artificial Intelligence (IJCAI), 2015 (C8) Crowd Access Path Optimization: Diversity Matters - Besmira Nushi, Adish Singla, Anja Gruenheid, Erfan Zamanian, Andreas Krause, and Donald Kossmann 4
5 - AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2015 (C9) Near-Optimally Teaching the Crowd to Classify - Adish Singla, Ilija Bogunovic, Gábor Bartók, Amin Karbasi, and Andreas Krause - International Conference on Machine Learning (ICML), 2014 (C10) Stochastic Privacy - Adish Singla, Eric Horvitz, Ece Kamar, and Ryen White - Conference on Artificial Intelligence (AAAI), 2014 (C11) Mechanism Design for Crowdsourcing Markets with Heterogeneous Tasks - Gagan Goel, Afshin Nikzad, and Adish Singla - AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2014 (C12) From Devices to People: Attribution of Search Activity in Multi-User Settings - Ryen White, Ahmed Hassan, Adish Singla, and Eric Horvitz - International World Wide Web Conference (WWW), 2014 (C13) Quantifying Web-Search Privacy - Arthur Gervais, Reza Shokri, Adish Singla, Srdjan Capkun, and Vincent Lenders - Conference on Computer and Communications Security (CCS), 2014 (C14) Truthful Incentives in Crowdsourcing Tasks using Regret Minimization Mechanisms - Adish Singla and Andreas Krause - International Conference on World Wide Web (WWW), 2013 (C15) Incentives for Privacy Tradeoff in Community Sensing - Adish Singla and Andreas Krause - AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2013 (C16) A Noise-Aware Click Model for Web Search - Weizhu Chen, Dong Wang, Yuchen Zhang, Zheng Chen, Adish Singla, and Qiang Yang - International Conference on Web Search and Data Mining (WSDM), 2012 (C17) Studying Trailfinding Algorithms for Enhanced Web Search - Adish Singla, Ryen White, and Jeff Huang - International Conference on Research & Development in Information Retrieval (SIGIR), 2010 (C18) Camera Brand Congruence in the Flickr Social Graph - Adish Singla and Ingmar Weber - International Conference on Web Search and Data Mining (WSDM), (C19) Cross-Lingual Sentence Extraction for Information Distillation - Adish Singla and Dilek Hakkani-Tür - Conference of the International Speech Communication Association (INTERSPEECH), (C20) An Ink Spreading Model for Dot-on-Dot Spectral Prediction - Roger Hersch and Adish Singla - Color and Imaging Conference (CIC),
6 Journal Articles and Book Chapters (J1) Camera Brand Congruence and Camera Model Propagation in the Flickr Social Graph - Adish Singla and Ingmar Weber - Transactions on the Web (TWEB), 2011 (J2) Statistical Sentence Extraction for Information Distillation - Dilek Hakkani-Tür, Gokhan Tür, Michael Levit, Daniel Gillick, Adish Singla, and Sibel Yaman - Chapter in the Handbook of Natural Language Processing and Machine Translation: DARPA Global Autonomous Language Exploitation (GALE) Program, Olive, McCary, Dietrich, Christianson (Eds.), Springer, 2011 (J3) Calibrating the Yule Nielsen Modified Spectral Neugebauer Model with Ink Spreading Curves Derived from Digitized RGB Calibration Patch Images - Neha Garg, Adish Singla, and Roger Hersch - Journal of Imaging Science and Technology (JIST), 2008 Conference Posters and Short Papers (S1) Learning to Hire Teams - Adish Singla, Eric Horvitz, Pushmeet Kohli, and Andreas Krause - AAAI Conference on Human Computation and Crowdsourcing (HCOMP), WiP short paper, 2015 (S2) Allocating Tasks to Workers with Matching Constraints: Truthful Mechanisms for Crowdsourcing Markets - Gagan Goel, Afshin Nikzad, and Adish Singla - International World Wide Web Conference (WWW), 2014 (S3) Enhancing Personalization via Search Activity Attribution - Adish Singla, Ryen White, Ahmed Hassan, and Eric Horvitz - International Conference on Research & Development in Information Retrieval (SIGIR), 2014 (S4) Contextual Procurement in Online Crowdsourcing Markets - Adish Singla, Ian Lienert, Gábor Bartók, and Andreas Krause - AAAI Conference on Human Computation and Crowdsourcing, WiP short paper, 2014 (S5) Finding Our Way on the Web: Exploring the Role of Waypoints in Search Interaction - Ryen White and Adish Singla - International World Wide Web Conference (WWW), 2011 (S6) Sampling High-Quality Clicks from Noisy Click Data - Adish Singla and Ryen White - International World Wide Web Conference (WWW), 2010 (S7) Tagging and Navigability - Adish Singla and Ingmar Weber - International World Wide Web Conference (WWW),
7 Patents (P1) Stochastic Privacy - Eric Horvitz, Ece Kamar, Ryen White, and Adish Singla - US Patent Number , 2016 (P2) Attribution of Search Activity in Multi-User Settings - Ryen White, Ahmed Hassan, Adish Singla, and Eric Horvitz - US Patent Number , 2015 (P3) Click Noise Characterization Model - Weizhu Chen, Zheng Chen, and Adish Singla - US Patent Number , 2013 (P4) Detect Version Intent in Queries and Provide Interface to Capture Version Input in Structured Fashion - Sree Nagaralu, Puneet Agrawal, Adish Singla, and Vijay Krishnan - Microsoft Patent Number , 2011 (P5) Establishing Search Results and Deeplinks using Trails - Ryen White, Peter Bailey, Nikhil Dandekar, Adish Singla, and Jeff Huang - US Patent Number , 2011 References Available upon request 7
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References [1] R. Arkin. Motor schema based navigation for a mobile robot: An approach to programming by behavior. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA),
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