Download "Amulya Yadav, Ph.D. Student, Computer Science, University of

Amulya Yadav
Ph.D. Candidate
T EAMCORE Research Group
Computer Science Department
University of Southern California
http://teamcore.usc.edu/people/amulya
SAL 300
941 Bloom Walk
Los Angeles, CA 90089
Phone: +1 (213) 910 0094
Email: [email protected]
Research Interests: Multiagent Systems, Sequential Planning under Uncertainty, Influence Maximization in Social Networks, Computational Game-theory, Large-scale Optimization, Mechanism
Design, Machine Learning, Real-world Applications of AI, Artificial Intelligence.
EDUCATION
University of Southern California, Los Angeles, California. August 2013 – Present.
Ph.D. Student, Department of Computer Science.
Advisor: Dr. Milind Tambe GPA: 3.83/4.0
Indian Institute of Technology Patna, Bihar, India. August 2008 – May 2012.
B. Tech. , Computer Science and Engineering.
GPA: 9.48/10.0 overall (ranked 2nd in college)
HONORS & AWARDS
1. AAAI 2017 Video Competition Award My AAAI 2017 video submission was awarded the Best
Video and Best Student Video Award at AAAI 2017.
2. Pragnesh Jay Modi Best Student Paper Award My AAMAS 2016 paper was awarded the Best
Student Paper Award at AAMAS 2016 in Singapore.
3. Most Visionary Paper Award My IDEAS 2016 paper was awarded the Most Visionary Paper Award
at IDEAS 2016 in Singapore.
4. Incredible Innovations for Social Good 2015 My IAAI 2015 work on influence maximization and
POMDPs was highlighted by Mashable.com as one of 26 incredible innovations that improved the
world in 2015.
5. AAAI 2015 Press Conference My IAAI 2015 paper was one of four papers that was highlighted in
the AAAI 2015 press conference.
6. Indo-US Viterbi awards 2011 This is awarded to only 10 undergraduate students across all the IITs
and NITs in India for presenting an excellent research idea.
7. All India Talent Search Examination (AITSE) 2006 Awarded Level-C certificate, the highest certificate level attainable.
8. Times of India Merit Scholarship 2010 A very selective scholarship awarded for meritorious academic performance in college.
9. NIIT Bal Jyoti Scholarship This is awarded to high-school students for showing potential in the
field of computer science/mathematics.
Amulya Yadav, Page 2 of 6
LIST OF PUBLICATIONS
Working Papers
1. Amulya Yadav, Arunesh Sinha. Robust Multi-Step Influence Maximization: A Multi-Armed Bandit Approach
Rigorously Refereed Journal & Conference Publications
2. Amulya Yadav, Hau Chan, Albert Jiang, Haifeng Xu, Eric Rice, Milind Tambe.
Maximizing
Awareness about HIV in Social Networks of Homeless Youth with Limited Information. In Proceedings of the International Joint Conference in Artificial Intelligence (IJCAI) Best Paper Track, July
2017. Invited Paper
3. Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell,
Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo. Influence Maximization in the
Field: The Arduous Journey from Emerging to Deployed Application. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2017.
4. Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice and Milind Tambe. Uncharted but not
Uninfluenced: Influence Maximization with an Uncertain Network. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2017.
5. Amulya Yadav, Hau Chan, Albert Jiang, Haifeng Xu, Eric Rice, Milind Tambe.
Using Social
Networks to Raise HIV Awareness Among Homeless Youth In IBM Journal on Data Science for
Social Good, May 2017. (Under review)
6. Benjamin Ford, Matthew Brown, Amulya Yadav, Amandeep Singh, Arunesh Sinha, Biplav Srivastava, Christopher Kiekintveld, and Milind Tambe.
Protecting the NECTAR of the Ganga River
through Game-Theoretic Factory Inspections. In Proceedings of the 14th International Conference
on Practical Applications of Agents and Multi-Agent Systems (PAAMS), July 2016.
7. Amulya Yadav, Hau Chan, Albert Jiang, Haifeng Xu, Eric Rice, Milind Tambe.
Using Social
Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS),
May 2016. Best Student Paper Award
8. Leandro Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe. Simultaneous Influencing and Mapping Social Networks. In Proceedings of the International Conference on
Autonomous Agents and Multiagent Systems (AAMAS) (Short Paper), May 2016.
9. Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe. An Extended
Study on Addressing Defender Teamwork while Accounting for Uncertainty in Attacker Defender
Games using Iterative Dec-MDPs. In Multiagent and Grid Systems - 1 (2015) 1-38
10. Amulya Yadav, Leandro Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades,
Milind Tambe, Heather Carmichael.
Preventing HIV Spread in Homeless Populations using
PSINET. In Proceedings of the Annual Conference on Innovative Applications of Artificial Intelligence (IAAI), January 2015.
11. Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier. Regret-based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. In Proceedings
of the National Conference on Artificial Intelligence (AAAI), July 2014.
Amulya Yadav, Page 3 of 6
12. Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe. Unleashing
Dec-MDPs in Security Games: Enabling Effective Defender Teamwork. In Proceedings of the
European Conference on Artificial Intelligence (ECAI), August 2014.
13. Thanh H. Nguyen, Francesco M. Delle Fave, Debarun Kar, Aravind S. Lakshminarayanan, Amulya
Yadav, Milind Tambe, Noa Agmon, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey
Rwetsiba. Making the most of Our Regrets: Regret-based Solutions to Handle Payoff Uncertainty
and Elicitation in Green Security Games. In Proceedings of the Conference on Decision and Game
Theory for Security (GameSec), November 2015.
14. Sriparna Saha, Ashok Singh Sairam, Amulya Yadav, Asif Ekbal. Genetic algorithm combined with
support vector machine for building an intrusion detection system. In Proceedings of the International Conference on Advances in Computing, Communications and Informatics (ICACCI), August
2012.
Magazine Articles
15. Amulya Yadav, Leandro Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades,
Milind Tambe, Heather Carmichael. PSINET: Assisting HIV Prevention Amongst Homeless Youth
by Planning Ahead. In AI Magazine, June 2016.
Workshop & Symposium Papers
16. Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice and Milind Tambe. Uncharted but not
Uninfluenced: Influence Maximization with an Uncertain Network. In AAMAS 2017 International
Workshop on Optimization in Multi-Agent Systems (OPTMAS), May 2017.
17. Amulya Yadav, Hau Chan, Albert Xin Jiang, Eric Rice, Ece Kamar, Barbara Grosz, Milind Tambe.
POMDPs for Assisting Homeless Shelters: Computational and Deployment Challenges. In AAMAS
2016 Workshop on Issues with Deployment of Emerging Agent-based Systems (IDEAS), May 2016.
Most Visionary Paper Award
18. Leandro Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe. Simultaneous
Influencing and Mapping Social Networks. In AAAI 2016 Workshop on Expanding the Boundaries
of Health Informatics using AI (HIAI-16), Feb 2016.
19. Amulya Yadav, Leandro Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades,
Milind Tambe, Heather Carmichael. Forming Teams of Homeless Youth To Combat HIV Spread.
In AAAI 2016 Spring Symposium on Intelligent systems for supporting distributed human teamwork,
Mar 2016.
20. Amulya Yadav, Thanh Nguyen, Francesco Delle Fave, Milind Tambe, Noa Agmon, Manish Jain,
Widodo Ramono, Timbul Batubara. Handling Payoff Uncertainty with Adversary Bounded Rationality in Green Security Domains. In IJCAI-15 Workshop on Algorithmic Game Theory (AGT-15),
July 2015.
21. Amulya Yadav, Thanh Nguyen, Francesco Delle Fave, Milind Tambe, Noa Agmon, Manish Jain,
Widodo Ramono, Timbul Batubara. Handling Payoff Uncertainty in Green Security Domains with
Adversary Bounded Rationality. In IJCAI-15 Workshop on Behavioral, Economic and Computational
Intelligence for Security (BECIS-15), July 2015.
22. Amulya Yadav, Leandro Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades,
Milind Tambe, Heather Carmichael. PSINET - An Online POMDP Solver for HIV Prevention in
Homeless Populations. In AAAI 2015 Workshop on Planning, Search and Optimization (PlanSOpt15), Jan 2015.
Amulya Yadav, Page 4 of 6
23. Lila Ghemri, Siddhartha Dalal, Irfan Ul-Haq, Rakesh Verma, Amulya Yadav. Identifying Relevant
Literature on Chemical Terrorism using Machine Learning. In Command, Control, and Interoperability Center for Advanced Data Analysis (CCICADA)-Research Retreat, October 2010.
Book Chapters
24. Amulya Yadav, Hau Chan, Albert Xin Jiang, Eric Rice, Ece Kamar, Barbara Grosz, Milind Tambe.
POMDPs for Assisting Homeless Shelters: Computational and Deployment Challenges. In Autonomous Agents and Multiagent Systems, Visionary Papers, Lecture Notes in AI.
Video
25. Amulya Yadav, Eric Rice, Robin Petering, Jaih Craddock, Bryan Wilder, Milind Tambe. HEALER:
Using AI to Raise HIV Awareness among Homeless Youth In AAAI 2017 Video Competition, Jan
2017. Best Video & Best Student Video Award
Demos
26. Amulya Yadav, Ece Kamar, Barbara Grosz, Milind Tambe.
HEALER: POMDP Planning for
Scheduling Interventions among Homeless Youth In Proceedings of the International Conference on
Autonomous Agents and Multiagent Systems (AAMAS), May 2016.
POPULAR MEDIA COVERAGE OF MY RESEARCH
1. Modelling How Information Spreads By Word Of Mouth Is Helping Stop HIV, FastCompany, March
2015
2. Artificial Intelligence Could Help Reduce HIV Among Homeless Youths, Motherboard News, February 2015
3. Can an Algorithm Help Prevent HIV From Spreading Among Homeless Young People?, NextCity,
February 2015
4. How an Algorithm Can Help Spread HIV Information Among Homeless Teens, Mashable, February
2015
5. To Prevent the Spread of HIV Among the Homeless, Researchers Turn to Math, USC News, February
2015
ACCEPTED PROPOSALS
1. Optimization of biosensor arrays using POMDP. Submission to National Science Foundation.
2. Peers and Social Media to Promote HIV Testing and Treatment for Homeless Youth. Submission to
California HIV/AIDS Research Program (CHRP).
3. END-HIV/AIDS: Using Artificial Intelligence to Enhance HIV Prevention for YMSM Homeless Youth.
Submission to Children’s Hospital Los Angeles (CHLA) Adolescent Trials Network (ATN).
EXPERIENCE
Research Experience
1. University of Southern California, Los Angeles, California. August 2013 – Present.
Research Assistant in the Department of Computer Science with Dr. Milind Tambe.
• Research on developing algorithms for sequential planning under uncertainty in multi agent
systems.
Amulya Yadav, Page 5 of 6
• Focus on standard sequential planning models like POMDPs, MDPs, Dec-MDPs and DecPOMDPs etc.
• Emphasis on influence maximization in real-world social network domains.
• Work done in collaboration with a non-profit agency for homeless youth: My Friend’s Place,
which tries to reduce incidence of HIV and drug usage amongst homeless youth.
2. University of Southern California, Los Angeles, California. May 2011 – July 2011.
Summer Research Intern in the Department of Computer Science with Dr. Bhaskar Krishnamachari.
• Worked on indoor localization using wireless sensor networks.
• Developed a GUI based application for tracking people’s movements inside a building in real
time.
• Coded the ECOLOCATION localization algorithm using nesC/C++ for TELOS-B motes.
• Extensively measured the sensitivity of the algorithm to various parameters such as mote transmitting power, number of motes in network, etc.
3. University of Houston, Houston, Texas. June 2010 – Aug 2010.
Summer Research Intern in the Department of Computer Science with Dr. Rakesh Verma.
• Worked on classification of PubMed abstracts, based on their relevance to chemical terrorism
using an ensemble of Lasso, SVM and decision trees.
• Results presented at CCICADA Research Retreat 2010.
4. Indian Institute of Technology Patna, Bihar, India August 2011 – May 2012.
B.Tech. Major Project in the Department of Computer Science with Dr. Asif Ekbal.
• Built an intrusion detection system (IDS) by using a multi-objective genetic algorithm for feature selection and SVM tools for classification.
• Outperformed every existing machine learning based IDS.
• Results presented at ICACCI 2012.
Work Experience
5. Amazon.com Inc. July 2012 – July 2013.
Software Development Engineer in the Global Payment Systems (GPS) team.
• Worked on Monad and other dependent services, which form a sophisticated balance tracking
solution for internal Amazon services.
• Worked on service oriented architecture, innovating solutions which improve the availability
and scalability of a service.
• Worked on the design and implementation of an automation test framework for testing several
services.
• Involved in maintenance of Monad service, handling large requests volume, host optimizations,
database optimizations and other details.
Amulya Yadav, Page 6 of 6
STUDENTS MENTORED
• Donnabell Rachel Lucas Dmello. (M.S., University of Southern California). Fall 2016 - Fall 2018.
• Anirudhh Bharadwaj. (B.S., University of Southern California). Fall 2015 - Fall 2019.
MISCELLANEOUS
• Program Committee Member of IJCAI 2017.
• USC Viterbi Graduate Mentor 2017.
REFERENCES
1. Dr. Milind Tambe
Helen N. and Emmett H. Jones Professor in Engineering,
Professor, Computer Science & Industrial and Systems Engineering Departments,
University of Southern California,
941 Bloom Walk,
Salvatori Computer Science Center 300,
Los Angeles, CA 90089, USA.
Email: [email protected]
Phone: 213-740-6447
2. Dr. Asif Ekbal
Assistant Professor,
Computer Science Department,
Indian Institute of Technology Patna,
Navin Government Polytechnic Campus,
Patliputra Colony,
Patna 800 013, India
Email: [email protected]
Phone: 9103424151