Vaneet Aggarwal - Purdue University
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Vaneet Aggarwal Purdue University, Email: vaneet@purdue.edu West Lafayette, IN 47907 Homepage: http://web.ics.purdue.edu/∼vaneet Research Interests Machine Learning, Networking and Communications, ML in Autonomous Transportation, Quantum Machine Learning. Education PhD. Princeton University, Princeton, New Jersey - July 2010 Major: Electrical Engineering - GPA 4.0/4.0 Thesis: Decisions in Distributed Wireless Networks with Imprecise Information Minors: Machine Learning and Computational Perception, Computer Science Advisor: Prof. A. Robert Calderbank Dissertation Reading Committee: Prof. Ashutosh Sabharwal, Prof. Vincent Poor Dissertation Oral Committee: Prof. Sergio Verdu, Prof. Paul Cuff, Prof. Peter Ramadge MA. Princeton University, Princeton, New Jersey - June 2007 Major: Electrical Engineering - GPA 4.0/4.0 Bachelor of Technology. Indian Institute of Technology, Kanpur - May 2005 Major: Electrical Engineering - GPA 9.6/10.0 Senior Thesis Advisor: Prof. R. K. Bansal Work Experience Purdue University, West Lafayette - Jan. 2015 - Current: Faculty in the Schools of Industrial Engineering and Electrical and Computer Engineering (by courtesy) (Assistant Professor: 2015-2019, Associate Professor: 2019-Current), Leading Purdue CLAN (Cloud Computing, Machine Learning, and Networking Research) Labs, Affiliated Faculty Center of Intelligent Infrastructure (CII) with thrust lead on Artificial Intelligence Application, Affiliated Faculty Computational Science and Engineering Program (CSE), Affiliated Faculty Energy Center, Affiliated Faculty in the Center for Education and Research in Information Assurance and Security (CERIAS), Affiliate Faculty in the Center for Resilient Infrastructures, Systems, and Processes (CRISP), Affiliate Faciulty in the Center for Innovation in Control, Optimization, and Networks (ICON), Affiliate Faculty in the Purdue Quantum Science and Engineering Institute (PQSEI). Indian Institute of Science (IISc) Bangalore - May 2018 - Apr 2019. VAJRA Adjunct Faculty of Electrical Communications Engineering (Distinguished Visiting Professor) AT&T Labs Research, NJ - Aug. 2010 - Dec. 2014 (Florham Park, NJ till Sept. 2013 and Bedminster, NJ from Oct. 2013): Senior Member of Technical Staff-Research Research on erasure coded distributed storage, network virtualization, cloud based multimedia, machine learning, energy optimization, interference networks, geographical routing, cellular and WiFi systems. Columbia University, New York, NY - Aug. 2013 - Dec 2014: Adjunct Assistant Professor of Electrical Engineering
Vaneet Aggarwal 2
Key Publications
Machine Learning
1. Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, and Abhishek Umrawal, “DART: aDaptive
Accept RejecT for non-linear top-K subset identification,” in Proc. AAAI, Feb 2021 (21% acceptance
rate, 1692/7911, earlier version of the paper - “Stochastic Combinatorial Bandits with Linear Space
and Non-Linear Feedback,” appears in Proc. ALT, Mar 2021)
2. Ather Gattami, Qinbo Bai, and Vaneet Agarwal, “Reinforcement Learning for Multi-Objective and
Constrained Markov Decision Processes,” in Proc. AISTATS, Apr 2021 (29.8% acceptance rate,
455/1527)
3. Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, and Vaneet Aggarwal, “GADMM: Fast and
Communication Efficient Framework for Distributed Machine Learning,” Journal of Machine Learning
Research, 21(76): 1-39, Mar 2020.
4. Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, and Vaneet Aggarwal, “Wide Compression:
Tensor Ring Nets,” in Proc. CVPR, Jun 2018 (29% acceptance rate)
5. Wenqi Wang, Vaneet Aggarwal, and Shuchin Aeron, “Efficient Low Rank Tensor Ring Completion,”
in Proc. ICCV, Oct 2017 (28.9% acceptance rate)
Networking and Communications
1. Divija Swetha Gadiraju, V. Lalitha, and Vaneet Aggarwal, “Secure Regenerating Codes for Reducing
Storage and Bootstrap Costs in Sharded Blockchains,” in Proc. IEEE International Conference on
Blockchain, Nov 2020 (16% acceptance rate, 36/225).
2. Anis Elgabli, Muhaman Felemban, and Vaneet Aggarwal, “GroupCast: Preference-Aware Coopera-
tive Video Streaming with Scalable Video Coding,” IEEE/ACM Transactions on Networking, vol. 27,
no. 3, pp. 1138-1150, June 2019 (Best Paper Award at Infocom HotPost Workshop).
3. Abubakr Alabbasi, Vaneet Aggarwal, and Moo-Ryong Ra, “Multi-tier Caching Analysis in CDN-
based Over-the-top Video Streaming Systems,” IEEE/ACM Transactions on Networking, vol. 27, no.
2, pp. 835-847, April 2019.
4. Yu Xiang, Tian Lan, Vaneet Aggarwal, and Yih-Farn Robin Chen, “Joint Latency and Cost Opti-
mization for Erasure-coded Data Center Storage,” IEEE/ACM Transactions on Networking, vol. 24,
no. 4, pp. 2443-2457, Aug. 2016.
5. Melissa Duarte, Ashutosh Sabharwal, Vaneet Aggarwal, Rittwik Jana, Kadangode Ramakrishnan,
Chris Rice, and N. K. Shankar, “Design and Characterization of a Full-duplex Multi-antenna System
for WiFi networks,” IEEE Transactions on Vehicular Tech., vol.63, no.3, pp.1160-1177, March 2014.
(2017 Jack Neubauer Memorial Award recognizing the Best Systems Paper published in the IEEE
Transactions on Vehicular Technology)
ML in Autonomous Transportation
1. Abubakr Alabbasi, Arnob Ghosh, and Vaneet Aggarwal, “DeepPool: Distributed Model-free Algo-
rithm for Ride-sharing using Deep Reinforcement Learning,” IEEE Transactions on Intelligent Trans-
portation, vol. 20, no. 12, pp. 4714-4727, Dec. 2019 (Featured also as a ICAPS 2020 Journal Track
Paper).
2. Jiayu Chen, Abhishek K. Umrawal, Tian Lan, and Vaneet Aggarwal, “DeepFreight: A Model-free
Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery,” in Proc. ICAPS,
Jun 2021.Vaneet Aggarwal 3
3. Ashutosh Singh, Abubakr Alabassi, and Vaneet Aggarwal, “A Reinforcement Learning Based Al-
gorithm for Multi-hop Ride-sharing: Model-free Approach,” Accepted with minor revision to IEEE
Transactions on Intelligent Transportation (presented in part in Neurips Workshop, Dec. 2019).
4. Kaushik Manchella, Abhishek K. Umrawal, and Vaneet Aggarwal, “FlexPool: A Distributed Model-
Free Deep Reinforcement Learning Algorithm for Shared Passengers and Goods Delivery,” Accepted
to IEEE Transactions on Intelligent Transportation Systems, Sept 2020 (presented at ACM Computer
Science in Cars Symposium (CSCS), Dec 2020, and extended version in Neurips Workshop 2020).
5. Arnob Ghosh and Vaneet Aggarwal, “Electric Vehicle Charging with Menu-Based Pricing,” IEEE
Transactions on Smart Grid, vol. 9, no. 6, pp. 5918-5929, Nov. 2018.
Quantum Machine Learning
1. Mohammad Ali Javidian, Vaneet Aggarwal, and Zubin Jacob, “Quantum Causal Inference in the
Presence of Hidden Common Causes: an Entropic Approach,” arXiv, Apr 2021
2. Mohammad Ali Javidian, Vaneet Aggarwal, Fanglin Bao, and Zubin Jacob, “Quantum Entropic
Causal Inference,” arXiv, Feb 2021.
3. Vaneet Aggarwal, A. Robert Calderbank, Gerald Gilbert and Yaakov S. Weinstein, “Volume Thresh-
olds for Quantum Fault Tolerance,” Quantum Information Processing, pp. 541-549, Oct. 2010.
4. Vaneet Aggarwal and A. Robert Calderbank, “Boolean Functions, Projection Operators, and Quan-
tum Error Correcting Codes,” IEEE Trans. Information Theory, vol.54, no.4, pp.1700-1707, Apr 2008.
5. Vaneet Aggarwal, A. Robert Calderbank, Gerald Gilbert and Yaakov S. Weinstein, ”Engineering
Fault Tolerance for Realistic Quantum Systems via the Full Error Dynamics of Quantum Codes,” in
Proc. IEEE ISIT, Jun 2009.
Visiting Research Experience
IISc Bangalore, India - May-Aug 2018
Air Force Research Lab, Rome NY - Jun-Aug 2015
Investigated placement of radar antennas for target localization
Swiss Federal Institute of Technology (EPFL), Lausanne
2009: Research on compressive sensing with Prof. Suhas Diggavi
2004: Developing a virtual operating system based on the MIPS R3000 architecture
Rice University, Houston, Texas - Summer 2007 and Spring 2009
Developing multi-round wireless protocols with Prof. Ashutosh Sabharwal
Summer Internship: AT&T Labs Research, Florham Park, NJ - 2008
Developing multicast scheduling strategies for IPTV
Summer Internship: Indian Institute of Technology Kanpur - Summer 2004
Accelerating OSPF convergence and introducing resilience to single node failures. Forensic analysis of 5km
WLAN 802.11b link between IIT Kanpur and Mandhana Village leading to improved system design.Vaneet Aggarwal 4 Key Research Metrics as of 1 May 2021 Source: https://scholar.google.com/citations?user=Tu4lmGwAAAAJ Citations: 4328 h-index: 33 i10-index: 99 Honors & Awards 2020 Most Impactful Faculty Innovator, Purdue University. 2018 Infocom Workshop Best Paper Award for paper [C71] 2018 Visiting Advanced Joint Research (VAJRA) Award from Science and Engineering Research Board (SERB), India, for research in summers 2018 at IISc Bangalore 2017 Jack Neubauer Memorial Award for the Best Systems Paper published in the IEEE Transactions on Vehicular Technology for paper [J18] Best-in-Session-Presentation Award in technical session“Cloud Storage” in IEEE Infocom 2017 for pa- per [C62] AT&T, Virtual University Research Initiative (VURI) Award, “Video Streaming over Cloud,” Mar 2016. Elevated to IEEE Senior Member, 2015 Air Force Research Lab, Research Extension Award, “Localization with MIMO Radar/Multi-Dimensional Data Completion Algorithms/Joint Subspace Clustering and Data Completion,” Aug 2015. Visiting Faculty Research Program Award, Air Force Research Laboratory, Summer 2015. Senior Vice President Team Excellence Award - AT&T, 2014: for coordinating an aggressive Centre recruiting program. The program was transparent, thorough and highly professional, engaging the entire organization in a positive activity that positions AT&T Labs Research (now AT&T Labs Advanced Tech- nologies) for the future. Finalist for Fierce Innovation Awards 2013: My work in small cell propagation models was chosen as a finalist for the industry innovation awards. COMSOC Multimedia Communications Technical Committee R-letters: for paper “Optimizing Cloud Resources for Delivering IPTV Services through Virtualization,” IEEE Transactions on Multimedia, June 2013, edited by Carl James Debono. The Review Board for R-letters aims at recommending recent state-of-the-art and emerging publications in the literature. AT&T Key Contributor Award, 2013: for technical contribution in AT&T. Vice President Excellence Award - AT&T, 3Q 2012: for experimenting with different models for small cell indoor RF propagation and recommending a model, which was later developed by Labs Analysis
Vaneet Aggarwal 5 and Optimization Organization on their Hetnet Analysis and Resource Planning tool (currently in use by business). The Innovation Pipeline Executive Challenge Second Prize - AT&T, 2011: for solution to “How can AT&T leverage our network and technology to provide Pharmaceutical and Clinical Research Organi- zations with advanced tools for clinical trials in both the US and abroad?” Porter Ogden Jacobus Honorific Fellowship - 2009: The highest honor awarded by the Graduate School at Princeton. Four awards are made each year to recognize exceptional scholarly excellence and this award was made to Electrical Engineering student after thirteen years. Excellence in Teaching Award - 2008: Departmental award recognizes contributions to instruction of ELE 485 Signal Analysis and Communication Systems Princeton Research Symposium Poster Award - 2009: Princeton University community and the general public evaluates the research poster presentation at an Annual event Sridhar Memorial Prize - 2005: Top graduating student at the end of 7 semesters in Electrical Engi- neering at IIT Kanpur, separately recognized for academic excellence every year (2001-2004) Princeton University Fellowship - 2005 Research Funding CISCO, “Deeplace: Deep-Learning Online Service Placement in Edge Computing under Peak and Average Constraints. ,” Sept 2021-Aug 2022, PI, Amount: $100,000 DARPA, “Adaptive Quantum Perceptronics ,” Oct 2020-Sep 2021, Co-PI, Amount: $100,000 (PI: Zubin Jacob, Purdue) DARPA, “Quantum Entropic Causal Inference,” Aug 2020-Sep 2021, Co-PI, Amount: $100,000 (PI: Zubin Jacob, Purdue) NSF, “Collaborative Research: SWIFT: Small: Cross-Layer Interference Management: Bringing Interfer- ence Alignment to Reality,” Oct 2020-Sept 2023, Senior Personnel, Amount: $30,000 (PI: Alireza Vahid, UC Denver) DARPA, “Generating Novelty in Open-world Multi-agent Environments (GNOME),” Nov. 2019-May 2023, Co-PI, Amount: $350,000 (PI: Mayank Kejriwal, ISI) CISCO, Faculty Research Award, “Rethinking Erasure Codes for Cloud Storage: A Quantitative Frame- work for Latency, Reliability, and Cost Optimization,” PI, Jun 2019 - Dec 2020, Amount: $80,000 DARPA, “A Fundamental Theory for Dexterous Surgical Skills Transfer to Medical Robots,” Oct. 2018- Sept. 2021, Amount: $250,000 (PI: Juan Wachs, Purdue) National Science Foundation, “CIF: Small: Collaborative Research: Communications with Energy Har- vesting Nodes,” REU Supplement, PI, Aug. 2017-Aug. 2020, Amount: $7,800 AT&T, Virtual University Research Initiative (VURI) Award, “Video Streaming over Cloud,” PI, Mar 2016, Amount: $20,000
Vaneet Aggarwal 6 National Science Foundation, “CSR: Small: Collaborative Research: Rethinking Erasure Codes for Cloud Storage: A Quantitative Framework for Latency, Reliability, and Cost Optimization,” PI, Oct. 2016- Sept. 2021, Amount: $250,000 National Science Foundation, “CIF: Small: Collaborative Research: Communications with Energy Har- vesting Nodes,” Award 1527486, PI, Sept. 2015-Aug. 2020, Amount: $229,504 Air Force Research Lab, Research Extension Award, “Localization with MIMO Radar/Multi-Dimensional Data Completion Algorithms/Joint Subspace Clustering and Data Completion,” PI, Aug-Dec 2015, Amount: $10,000 Teaching Experience Purdue University: IE53600 Stochastic Models in Operations Research, Spring 2021. IE47400 Industrial Control Systems, Fall 2020. Purdue IMPACT-X (Instruction Matters: Purdue Academic Course Transformation) Fellow, Summer 2020 for redesigning courses to create student-centered teaching and learning environments. IE69000 Mathematics of Data Science, Fall 2019. IE59000 Security Applications, Fall 2019. IE53600 Stochastic Models in Operations Research, Spring 2019. IE49000 Introduction to Data Science, Spring 2019. IE59000 Security Applications, Spring 2019. IE69000 Scheduling in Computer Systems, Fall 2018. IE49000 Introduction to Data Science, Spring 2018. Purdue IMPACT (Instruction Matters: Purdue Academic Course Transformation) Fellow, Fall 2017 for re- designing courses to create student-centered teaching and learning environments. IE33600 Operations Research - Stochastic Models, Fall 2017. IE53600 Stochastic Models in Operations Research, Spring 2017. IE69000 Mathematics of Data Science, Fall 2016. IE33600 Operations Research - Stochastic Models, Fall 2016. IE53600 Stochastic Models in Operations Research, Spring 2016. IE33600 Operations Research - Stochastic Models, Fall 2015.
Vaneet Aggarwal 7 IE53600 Stochastic Models in Operations Research, Spring 2015. Columbia University: ELEN E6713 Topics in Comm: Cooperative Wireless Communication Systems, Fall 2013. Princeton University: ELE 485 Signal Analysis and Communication Systems: Assisted Prof. Stuart C. Schwartz (2006 and 2007) and Adjunct Prof. Paul Henry (2008) by organizing labs, giving precepts to undergraduates, setting home- work and exams. Direction of Research Advisor for Postdoc Researchers Mohammad Ali Javidian, 2020-current (joint with Prof. Zubin Jacob) Fanglin Bao, Purdue University, 2019-current (joint with Prof. Zubin Jacob) Arnob Ghosh, Purdue University, 2016-2019 Ke Liu, Purdue University, 2017-2019 Thesis Advisor for PhD students (Current) Qinbo Bai, ECE, Purdue University, 2019-Current Mridul Aggarwal, ECE, Purdue University, 2018-Current Dheeraj Pedireddy, IE, Purdue University, 2019-current Abhishek Umrawal, IE, Purdue University, 2019-current (awarded VIP Graduate Student Mentor Award 2019) Chang-Lin Chen, ECE, Purdue University, 2019-current (joint with Prof. Chris Brinton) Jiayu Chen, IE, Purdue University, 2021-current Bhargav Ganguly, IE, Purdue University, 2021-current Thesis Advisor for PhD students (Graduated Students) Abubakr Alabassi, IE, Purdue University, 2016-2019 (Awarded Ross Fellowship Award, 2016 and Honorable Mention Outstanding Graduate Student Research Award 2019) Mehdi Ashraphijuo, ECE, Columbia University, (joint with Prof. Xiaodong Wang), 2012-2016 (awarded Qualcomm Innovation Fellowship, 2014) Anis Elgabli, ECE, Purdue University, (joint with Prof. Mark Bell) 2015-2018 Wenqi Wang, IE, Purdue University, 2015-2018 (Awarded Bilsland Dissertation Fellowship Award, 2017) Yu Xiang, ECE, George Washington University, (joint with Prof. Tian Lan), 2012-2015 Mentoring/ co-supervising PhD students while at AT&T: Achaleshwar Sahai, Rice University (Feedback in Interference Channels, 2009-2010) Alireza Vahid, Cornell University (Local View in Interference Channels, 2010-2011) Kanes Sutuntivorakoon, Cornell University (Local View in Interference Channels, 2010-2011) Pedro Santacruz, Rice University (Local View in Interference Channels, 2010-2013) Melissa Duarte, Rice University (Full Duplex wireless systems, 2011-2012) Khawla Alnajjar, Columbia University (Interference Alignment, 2011-2012) Dinesh Bharadia, Stanford University (Full Duplex wireless systems, 2012-2013) Robert Margolies, Columbia University (Cellular Signal Prediction, 2012-2013) Tingting Sun, Rutgers University (Full Duplex wireless systems, 2012-2013) Zhe Wang, Columbia University (Energy Harvesting for Wireless Networks, 2012-2014) Fraida Fund, Polytechnic Institute of NYU, (Device to Device Communications, Summer 2013) Uri Livnat, Columbia University, (Optimization for Small Cells, 2013-2014) Hongyao Ma, Harvard University, (Tensor Completion at multiple resolutions, Summer 2013)
Vaneet Aggarwal 8 Rajarajan Sivaraj, UC Davis, (LTE Heterogenous Networks, 2013-2014) Shayan Saeed, UIUC (Realtime Storage Systems, Summer 2014) Xiao-Yang Liu (Adaptive Tensor Completion for RF Fingerprinting, 2014-2015) Thesis Advisor for MS Research students (Current) Saichandar Reddy Naini, Purdue University, 2021-current Thesis Advisor for MS Research students at Purdue (Graduated) Anirudh Shankar, Purdue University, 2019-2021 Kaushik Manchella, Purdue University, 2019-2020 Ashutosh Singh, Purdue University, 2019-2020 Mayank Gupta, Purdue University, 2016-2018 Vineeth CR, Purdue University, 2016- 2018 Zijian He, Purdue Universty, 2015-2016 Jingxian Fan, Purdue University, 2015-2016 Advisor for Undergraduate Research (Current) Advisor for Undergraduate Research (Previous) Shivangi Agarwal, CS, Summer 2020 (funded through Purdue SummerStay) Olamidotun Folajimi Akinnola, ECE, Fall 2019 Aarushi Bannerjee, CS, Fall 2019, Spring 2020 Siyuan Cao, IE (Independent Study, Fall 2017) Lingjun Chen, Statistics (Independent Study, Fall 2017, Spring 2018) Ved Rajesh Dave, ECE, Fall 2019, Spring 2020 Chufan Gao, Computer Science (funded through Purdue SummerStay, Summer 2017, Independent Study, Fall 2017, Spring 2018) Zaid Al Haddadin, Computer Science (funded through Purdue SummerStay, Summer 2016) He Huang, Computer Science (Independent Study, Fall 2016, Spring 2017) Jae Joong Li, Computer Science (Independent Study, Spring 2017, Fall 2017, Spring 2018) Jeremiah S Johnson, Computer Science (funded through REU supplement, Fall 2017, Spring 2018) Nolan Lewis, AAE (funded through Purdue SummerStay, Summer 2017) Deeptanshu Malik, Computer Engineering (funded through Purdue SummerStay, Summer 2016) Kartikeya Mishra, ECE (funded through Purdue SummerStay, Summer 2017) Mahira Morris, ECE, Fall 2019 Daniyaal Shoaib Rasheed, CS, Fall 2019 Austin Sale, ECE, Fall 2019, Spring 2020 Anurag Shah, CS, Spring 2020, Summer 2020 (funded in part through Purdue SURF) Abhimanyu Sharma, Computer Science (funded through REU supplement, Fall 2017, Spring 2018, Fall 2018) Pratyaksh Sharma, Computer Engineering (funded through Purdue SummerStay, Summer 2017) Raymond Susilo, Industrial Engineering (Summer 2016) Haobo Wang, CS, Summer 2019, Fall 2019, Spring 2020 Wenqin Yi, Industrial Engineering (Independent Study, Spring 2017) Haozhe Zhou, CS, Summer 2020 (funded through Purdue SummerStay) Mentoring Undergraduate Research(at Princeton): Led the ELE Senior Thesis writing group and guided a physics senior thesis in quantum computing (David Zaslavsky in 2008)
Vaneet Aggarwal 9 Professional Experience IEEE/ACM Transactions on Networking, Associate Editor, 2019-Current Entropy, Lead Guest Editor for “Machine Learning for Communication Networks,” 2021 Frontiers Networking, Lead Guest Editor for “Machine Learning in Communication Networks,” 2021 IEEE Transactions on Communications, Associate Editor, 2016-Current IEEE Transactions on Green Communications and Networking, Associate Editor, 2017-2020 International Journal of Wireless Information Networks: Associate Editor, 2013-2014 CISS 2012: Organizer for invited session on “Wireless Systems with Limited Network Information” PC Co-Chair: The First International Workshop on Distributed Machine Learning and Fog Networks, IEEE Infocom 2021 International Workshop on Tensor Network Representations in Machine Learning, IJCAI 2020 14th International Conference on Networking, Architecture, and Storage (NAS 2019) International Workshop of Software-Defined Data Communications and Storage (SDDCS) 2017 Member of the Technical Program Committee: 2021: Sigmetrics, AAAI, Mobihoc 2020: Comsnets, Mobihoc 2019: Comsnets, Mobihoc, WCSP 2018: Comsnets, Mobihoc, WCSP 2017: Mobihoc, GCC, ICC Smart Grid, MALSIP, Green 5G, WCSP Communication Theory Symposium, ACM SENSYS 2016: Mobihoc, Sigmetrics, ICC CT, IEEE WCNC GRASNET, Comsnets, ICACCI, MALSIP, GCC, SDDCS 2015: WCSP, MALSIP, ICCC, Mobihoc, Full Duplex Radios and Systems, Comsnets 2014: WCSP, CNS, PhySec, ICCC, ISIT 2013: WCSP, ICCC, COMSNETS 2011: ICC 2009: Chinacom Session Chair: ICC 2012, CISS 2010, SPCOM 2018, Allerton 2019 CISS 2006 and 2008: Student Volunteer NSF Panel Reviewer, NETS/CNS-Medium, Feb 2020. NSF Panel Reviewer, NETS/CSR-Small, Apr 2019. NSF Panel Reviewer, NETS/CSR-Small, Feb 2019. NSF Panel Reviewer, CSR-Small, Apr 2018. NSF Panel Reviewer, CIF-Medium, Jan 2018. NSF External Reviewer, CNS-Small, 2016.
Vaneet Aggarwal 10
Reviewer for IEEE Transactions on Information Theory, IEEE/ACM Transactions on Networking, IEEE
Journal on Selected Areas in Communications, IEEE Transactions on Parallel and Distributed Systems, IEEE
Transactions on Wireless Communications, EURASIP Journal on Wireless Communications and Network-
ing, IEEE Transactions on Signal Processing, IEEE Transactions on Mobile Computing, IEEE Transactions
on Information Forensics and Security, IEEE International Symposium on Information Theory (ISIT), IEEE
Information Theory Workshop (ITW), Allerton Conference on Communication, Control, and Computing,
IEEE International Conference on Communications, etc.
Institute Committee Memberships
Purdue University:
IE Seminar Committee Chair, (2020-Current)
Search committee for Data Science in Engineering (2019-2020)
IE Graduate Committee (2018-2020)
Search committee for Data Science in Engineering (2018-2019)
Purdue Benefits Ambassador (2017-Current)
Faculty Compensation and Benefits Committee (2016-Current)
IE Safety Committee (2017-2018)
IE Recognition and Awards committee (2015-2017)
IE Data Science Curriculum Working Group (2018-2019)
Technical Lead for Intel-Purdue Design for Security Badge Program (2017-2019)
AT&T Labs-Research:
Networking Center Recruitment Committee, 2013-2014
Princeton University:
Member of the ELE Graduate Student Committee (2007 -2010)
Member of the Graduate Engineering Council (2006-2008)
Books/Book Chapters
[B4] Vaneet Aggarwal and Tian Lan, “Modeling and Optimization of Latency in Erasure-coded Storage
Systems,” Accepted to Now Foundations and Trends in Communication and Information Theory.
[B3] V. Lalitha and Vaneet Aggarwal, “Coding Theory for Distributed Storage,” in preparation for
Springer Lecture Notes in Mathematics book on topics in Coding Theory and its applications.
[B2] Vaneet Aggarwal and Mridul Agarwal, “Control of Uncertain Systems,” in Review for Springer
Handbook of Automation.
[B1] Vaneet Aggarwal, Xiaodong Wang, and Zhe Wang, “Joint Energy-Bandwidth Allocation for Multiple
Broadcast Channels with Energy Harvesting,” NOVA SCIENCE PUBLISHERS, INC., Cognitive Radio
Networks: Performance, Applications and Technology, Oct. 2017.
Vision/Magazine Articles
[V2] Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, and Mung Chiang,
“From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in
Heterogeneous Networks,” Accepted to IEEE Communications Magazine, Sept 2020.
[V1] Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian
J. Henz, Hank Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen Marais, PrateekVaneet Aggarwal 11
Mittal, Shaoshuai Mou, Xiaokang Qiu, and Gesualdo Scutari, “Vision Paper: Grand Challenges in Re-
silience: Autonomous System Resilience through Design and Runtime Measures,” IEEE Open Journal
of the Computer Society, vol. 1, pp. 155-172, 2020.
Journal Publications
Key Publication Venues: IEEE Transactions on Information Theory, IEEE/ACM Transactions on Net-
working, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Vehicular Technology,
IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Transac-
tions on Cloud Computing, Journal of Machine Learning Research, IEEE Transactions on Smart Grids
Recently Prepared Manuscripts:
[J123] Mridul Agarwal, Bhargav Ganguly, and Vaneet Aggarwal, “Communication Efficient Parallel Rein-
forcement Learning,” Feb 2021
[J122] Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli, “Multi-Agent Multi-Armed Bandits with
Limited Communication,” Feb 2021
[J121] Qinbo Bai, Vaneet Aggarwal, Ather Gattami, “Provably Efficient Model-Free Algorithm for MDPs
with Peak Constraints,” Submitted Sept 2020
[J120] Fanglin Bao, Hyunsoo Choi, Vaneet Aggarwal, Zubin Jacob, “Quantum-accelerated imaging of N
stars,” May 2021
[J119] Mohammad Ali Javidian, Vaneet Aggarwal, and Zubin Jacob, “Quantum Causal Inference in the
Presence of Hidden Common Causes: an Entropic Approach,” Apr 2021
[J118] Mohammad Ali Javidian, Vaneet Aggarwal, Fanglin Bao, and Zubin Jacob, “Quantum Entropic Causal
Inference,” Submitted Feb 2021.
[J117] Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolo Michelusi, Vaneet Ag-
garwal, David J. Love, Huaiyu Dai, ”Multi-Stage Hybrid Federated Learning over Large-Scale Wireless
Fog Networks,” Submitted Nov 2020
In Peer Review with at least one revision round:
[J116] Guoyang Zhou, Denny Yu, and Vaneet Aggarwal, “A Computer Vision Approach for Estimating Lifting
Load Contributors to Injury Risk,” Submitted to IEEE Transactions on Human-Machine Systems, Feb
2021 (under revision).
[J115] Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, and Alec Koppel, “Sublinear Regret and
Belief Complexity in Gaussian Process Bandits via Information Thresholding,” Submitted to JMLR,
Dec 2020 (under revision).
[J114] Mounssif Krouka, Anis Elgabli, Mohammed S. Elbamby, Cristina Perfecto, Mehdi Bennis, and Vaneet
Aggarwal, “Cross Layer Optimization and Distributed Reinforcement Learning Approach for Tile-
Based 360 Degree Wireless Video Streaming,” Submitted Nov 2020 (under revision).
[J113] Xingyu Fu, Dheeraj Peddireddy, Vaneet Aggarwal, and Martin Byung-Guk Jun, “Improved Dexel
Representation: A 3D CNN Geometry Descriptor for Manufacturing CAD,” Submitted Nov 2020
(under revision).
[J112] Mridul Agarwal, Bhargav Ganguly, and Vaneet Aggarwal, “Communication Efficient Parallel Rein-
forcement Learning,” Submitted to JMLR, Feb 2021 (under revision)
[J111] Mridul Agarwal and Vaneet Aggarwal, “Blind Decision Making: Reinforcement Learning with Delayed
Observations,” Submitted to Pattern Recognition Letters, Jul 2020 (Revised Mar 2021, v2)Vaneet Aggarwal 12
[J110] Marina Haliem, Vaneet Aggarwal, and Bharat Bhargava, “AdaPool: An Adaptive Model-Free Ride-
Sharing Approach for Vehicle Dispatching using Deep Reinforcement Learning,” Submitted IEEE T-
ITS Dec 2020 (Revised Mar 2021, v2)
[J109] Kaushik Manchella, Marina Haliem, Vaneet Aggarwal, and Bharat Bhargava, “PassGoodPool: Joint
Passengers and Goods Fleet Management with Reinforcement Learning aided Pricing, Matching, and
Route Planning,” Submitted, Nov 2020 (Revised Apr 2021, v2).
[J108] Guanghui Zhang, Jack Y. B. Lee, Ke Liu, Haibo Hu, and Vaneet Aggarwal, “A Unified Framework
for Flexible Playback Latency Control in Live Video Streaming,” Submitted to IEEE Transactions on
Parallel and Distributed Systems, Nov 2020 (Revised Apr 2021, v2)
[J107] Chang-Lin Chen, Christopher G. Brinton, and Vaneet Aggarwal,“Latency Minimization for Mobile
Edge Computing Network,” Submitted to IEEE Transactions on Mobile Computing, Sept 2020 (Re-
vised Apr 2021)
[J106] Marina Haliem, Ganapathy Mani, Vaneet Aggarwal, and Bharat Bhargava, “A Distributed Model-
Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching using Deep Reinforcement
Learning,” Submitted Oct 2020 (Revised Feb 2021)
[J105] Mridul Agarwal and Vaneet Aggarwal, “Reinforcement Learning for Joint Optimization of Multiple
Rewards,” Submitted JMLR, Nov 2019 (Revised Mar 2021).
[J104] Amrit Singh Bedi, Ketan Rajawat, Vaneet Aggarwal, and Alec Koppel, “Escaping Saddle Points
with the Successive Convex Approximation Algorithm,” Submitted to IEEE TSP, Jan 2020 (under
revision, v4).
[J103] Vaneet Aggarwal, Tian Lan, and Dheeraj Peddireddy, “Preemptive Scheduling on Unrelated Ma-
chines with Fractional Precedence Constraints,” Submitted to Journal of Parallel and Distributed
Computing, May 2019 (v3, Revised Feb 2021).
Accepted/Published:
[J102] Mahadesh Panju, Ramkumar Raghu, Vinod Sharma, Vaneet Aggarwal, and Rajesh Ramachandran,”“ueueing
Theoretic Models for Uncoded and Coded Multicast Wireless Networks with Caches,” Accepted with
minor revision to IEEE Transactions on Wireless Communication, May 2021
[J101] Ashutosh Singh, Abubakr Alabbasi, and Vaneet Aggarwal, “A Distributed Model-Free Algorithm for
Multi-hop Ride-sharing using Deep Reinforcement Learning,” Accepted with minor revision to IEEE
Transactions on Intelligent Transportation Systems, Jan 2021.
[J100] Naimahmed Nesaragi, Shivnarayan Patidar, and Vaneet Aggarwal, “Tensor Learning of Pointwise
Mutual Information from EHR Data for Early Prediction of Sepsis,” Accepted to Computers in Biology
and Medicine, Apr 2021
[J99] Ajay Badita, Parimal Parag, and Vaneet Aggarwal, “Single-forking of coded subtasks for straggler
mitigation,” Accepted to IEEE/ACM Transactions on Networking, Apr 2021.
[J98] Vaneet Aggarwal, Tian Lan, Suresh Subramaniam, and Maotong Xu, “On the Approximability of
Related Machine Scheduling under Arbitrary Precedence,” Accepted to IEEE TNSM, Apr 2021.
[J97] Guanghui Zhang, Ke Liu, Haibo Hu, Vaneet Aggarwal, and Jack Y. B. Lee, “Post-Streaming Wastage
Analysis – A Data Wastage Aware Framework in Mobile Video Streaming,” Accepted to IEEE Trans-
actions on Mobile Computing, Mar 2021
[J96] Ruijiu Mao and Vaneet Aggarwal, “NPSCS: Non-preemptive Stochastic Co-flow Scheduling with Time-
Indexed LP Relaxation,” Accepted to IEEE Transactions of Networking and Service Management, Jan
2021Vaneet Aggarwal 13
[J95] Abubakr Alabassi and Vaneet Aggarwal, “Joint Information Freshness and Completion Time Opti-
mization for IoT Applications,” Accepted to IEEE Transactions on Service Computing, Feb 2020.
[J94] Abubakr Alabbasi, Vaneet Aggarwal, Tian Lan, Yu Xiang, Moo-Ryong Ra, and Yih-Farn R. Chen,
“FastTrack: Minimizing Stalls for CDN-based Over-the-top Video Streaming Systems,” Accepted to
IEEE Transactions on Cloud Computing, Jun 2019.
[J93] Yang Zhang, Arnob Ghosh, and Vaneet Aggarwal, “Optimized Portfolio Contracts for Bidding the
Cloud,” Accepted to IEEE Transactions on Service Computing, Dec 2018.
[J92] Kaushik Manchella, Abhishek K. Umrawal, and Vaneet Aggarwal, “FlexPool: A Distributed Model-
Free Deep Reinforcement Learning Algorithm for Shared Passengers and Goods Delivery,” IEEE
Transactions on Intelligent Transportation Systems, vol. 22, no. 4, pp. 2035-2047, April 2021, doi:
10.1109/TITS.2020.3048361.
[J91] Dheeraj Peddireddy, Xingyu Fu, Anirudh Shankar, HaoboWang, Byung Gun Joung, VaneetAggarwal,
JohnW. Sutherland, and Martin Byung-Guk Jun, “Identifying Machinability and Machining Processes
using Deep 3D Convolutional Networks,” Journal of Manufacturing Processes, vol. 64, pp. 1336-1348,
Apr 2021.
[J90] Abubakr Al-Abbasi and Vaneet Aggarwal, “Optimized Video Streaming over Cloud: A Stall-Quality
Trade-off,” ACM Tompecs, article no. 17, Jan 2021, https://doi.org/10.1145/3442187
[J89] Anis Elgabli, Jihong Park, Amrit S. Bedi, Chaouki Ben Issaid, Mehdi Bennis, Vaneet Aggar-
wal, “Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine
Learning,” IEEE Transactions on Communications, vol. 69, no. 1, pp. 164-181, Jan 2021, doi:
10.1109/TCOMM.2020.3026398.
[J88] Krishnandu Hazra, Vijay Shah, Simone Silvestri, Vaneet Aggarwal, Sajal Das, Subrata Nandi, Sujoy
Saha, “Designing Efficient Communication Infrastructure in Post-disaster Situations with Limited
Availability of Network Resources,” Computer Communications, Volume 164, Pages 54-68, Dec 2020.
[J87] Md Masudur Rahman, Mythra Varun Balakuntala Srinivasa Mur, Mridul Agarwal, Upinder Kaur,
Vishnunandan Lakshmi Venkatesh, Glebys Gonzalez, Natalia Sanchez Tamayo, Yexiang Xue, Richard
Voyles, Vaneet Aggarwal, and Juan Wachs, “SARTRES: A Semi-Autonomous Robot TeleopeR-
ation Environment for Surgery,” AE-CAI 2020 Special Issue of the Computer Methods in Biome-
chanics and Biomedical Engineering: Imaging & Visualization Journal (TCIV), Nov 2020, DOI:
10.1080/21681163.2020.1834878.
[J86] Abubakr O. Alabbasi and Vaneet Aggarwal, “TTLCache: Taming Latency in Erasure-Coded Storage
Through TTL Caching,” IEEE Transactions on Network and Service Management, vol. 17, no. 3, pp.
1582-1596, Sept. 2020, doi: 10.1109/TNSM.2020.2998175.
[J85] Shanuja Sasi, V. Lalitha, Vaneet Aggarwal, and B. Sundar Rajan, “Straggler Mitigation with Tiered
Gradient Codes,” IEEE Transactions on Communications, vol. 68, no. 8, pp. 4632-4647, Aug. 2020,
doi: 10.1109/TCOMM.2020.2992721.
[J84] Arnob Ghosh, Vaneet Aggarwal, and Prakash Chakraborty, “Tiered Spectrum Measurement Markets
for Bundled Service,” IEEE Transactions on Network Science and Engineering, vol. 7, no. 3, pp. 1295-
1309, 1 July-Sept. 2020, doi: 10.1109/TNSE.2019.2921782.
[J83] Anis Elgabli and Vaneet Aggarwal, “FastScan: Robust Low-Complexity Rate Adaptation Algorithm
for Video Streaming over HTTP,” IEEE Transactions on Circuits and Systems for Video Technology,
vol. 30, no. 7, pp. 2240-2249, July 2020.
[J82] Morteza Ashraphijuo, Xiaodong Wang, and Vaneet Aggarwal, “Deterministic and Probabilistic Con-
ditions for Finite Completability of Low-rank Multi-View Data,” Pattern Recognition, vol. 103, Jul
2020.Vaneet Aggarwal 14
[J81] Ke Liu, Zhongbin Zha, Wenkai Wan, Vaneet Aggarwal, Binzhang Fu, and Mingyu Chen, “Opti-
mizing TCP Loss Recovery Performance Over Mobile Data Networks,” IEEE Transactions on Mobile
Computing, vol. 19, no. 6, pp. 1401-1419, June 2020.
[J80] Ajay Badita, Parimal Parag, and Vaneet Aggarwal, “Optimal Server Selection for Straggler Mitiga-
tion,” IEEE/ACM Transactions on Networking, vol. 28, no. 2, pp. 709-721, April 2020.
[J79] Hamed Asadi, Guoyang Zhou, Jae Joong Lee, Vaneet Aggarwal, and Denny Yu, “A Computer Vision
Algorithm to Identify High Force Exertions from Facial Expressions,” Ergonomics, Apr 2020.
[J78] Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, and Vaneet Aggarwal, “GADMM: Fast
and Communication Efficient Framework for Distributed Machine Learning,” JMLR, 21(76):1-39, Mar
2020.
[J77] Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, and Xiaodong Wang, “Low-tubal-rank Tensor
Completion using Alternating Minimization,” IEEE Transactions on Information Theory, vol. 66, no.
3, pp. 1714-1737, March 2020.
[J76] Arnob Ghosh and Vaneet Aggarwal, “Penalty Based Control Mechanism for Strategic Prosumers in
a Distribution Network,” Energies, Special Issue Smart Management of Distributed Energy Resources,
13(2), 452, Jan 2020.
[J75] Anis Elgabli, Ke Liu, and Vaneet Aggarwal, “Optimized Preference-Aware Multi-path Video Stream-
ing with Scalable Video Coding,” IEEE Transactions on Mobile Computing, vol. 19, no. 1, pp. 159-172,
1 Jan. 2020..
[J74] Vaneet Aggarwal and Ruijiu Mao, “Preemptive Scheduling for Approximate Computing on Het-
erogeneous Machines: Tradeoff between Weighted Accuracy and Makespan,” Information Processing
Letters, Volume 153, Jan 2020.
[J73] Abubakr Alabbasi, Arnob Ghosh, and Vaneet Aggarwal, “DeepPool: Distributed Model-free Algo-
rithm for Ride-sharing using Deep Reinforcement Learning,” IEEE Transactions on Intelligent Trans-
portation, vol. 20, no. 12, pp. 4714-4727, Dec. 2019.
[J72] Yimeng Wang, Yongbo Li, Tian Lan, and Vaneet Aggarwal, “DeepChunk: Deep Q-Learning for
Chunk-based Caching in Data Processing Networks,” IEEE Transactions on Cognitive Communications
and Networking, Special Issue on Deep Reinforcement Learning for Future Wireless Communication
Networks, vol. 5, no. 4, pp. 1034-1045, Dec. 2019.
[J71] Chinmayananda Arunachala, Vaneet Aggarwal, and B. Sundar Rajan, “On the Optimal Broadcast
Rate of the Two-Sender Unicast Index Coding Problem with Fully-Participated Interactions,” EEE
Transactions on Communications, vol. 67, no. 12, pp. 8612-8623, Dec. 2019.
[J70] Abubakr Alabbasi, Vaneet Aggarwal, and Tian Lan, “TTLoC: Taming Tail Latency for Erasure-
coded Cloud Storage Systems,” IEEE Transactions on Network and Service Management, vol. 16, no.
4, pp. 1609-1623, Dec. 2019.
[J69] Ashwin Kumar Boddeti, Abubakr Alabbasi, Vaneet Aggarwal, and Zubin Jacob, “Spectral domain
inverse design for accelerating nanocomposite metamaterials discovery,” Optical Materials Express,
Vol. 9, Issue 12, pp. 4765-4771, Dec 2019.
[J68] Tianqiong Luo, Vaneet Aggarwal, and Borja Peleato, “Coded caching with distributed storage,”
IEEE Transactions on Information Theory, vol. 65, no. 12, pp. 7742-7755, Dec. 2019.
[J67] Fernando Stefanello, Vaneet Aggarwal, Luciana S. Buriol, and Mauricio G.C. Resende, “Hybrid
Algorithms for Placement of Virtual Machines across Geo-Separated Data Centers,” Journal of Com-
binatorial Optimization, Volume 38, Issue 3, pp 748-793, Oct 2019.Vaneet Aggarwal 15
[J66] Morteza Ashraphijuo, Vaneet Aggarwal, and Xiaodong Wang, “Deterministic and Probabilistic Con-
ditions for Finite Completability of Low Rank Tensor,” IEEE Transactions on Information Theory, vol.
65, no. 9, pp. 5380-5400, Sept. 2019.
[J65] Anis Elgabli, Muhamad Felemban, and Vaneet Aggarwal, “GiantClient: Video HotSpot for Multi-
User Streaming,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 9,
pp. 2833-2843, Sept. 2019.
[J64] Eric Friedlander and Vaneet Aggarwal, “Generalization of LRU Cache Replacement Policy with
Applications to Video Streaming,” ACM Tompecs, Volume 4 Issue 3, August 2019.
[J63] Arnob Ghosh, Vaneet Aggarwal, and Hong Wan, “Strategic Prosumers: How to set the prices
Dynamically in a Tiered Market?,”IEEE Transactions on Industrial Informatics, vol. 15, no. 8, pp.
4469-4480, Aug. 2019.
[J62] Anis Elgabli and Vaneet Aggarwal, “SmartStreamer: Preference-Aware Multipath Video Streaming
over MPTCP,” IEEE Transactions on Vehicular Technology, vol. 68, no. 7, pp. 6975-6984, July 2019.
[J61] Chinmayananda Arunachala, Vaneet Aggarwal, and B. Sundar Rajan, “Optimal Linear Broadcast
Rates of the Two-Sender Unicast Index Coding Problem with Fully-Participated Interactions,”IEEE
Transactions on Communications, vol. 67, no. 6, pp. 3965-3977, June 2019.
[J60] Anis Elgabli, Muhaman Felemban, and Vaneet Aggarwal, “GroupCast: Preference-Aware Coopera-
tive Video Streaming with Scalable Video Coding,” IEEE/ACM Transactions on Networking, vol. 27,
no. 3, pp. 1138-1150, June 2019.
[J59] Anis Elgabli, Ali Elghariani, Vaneet Aggarwal, and Mark Bell, “A Low Complexity Detection Al-
gorithm For Uplink Massive MIMO Systems Based on Alternating Minimization,” IEEE Wireless
Communications Letters, vol. 8, no. 3, pp. 917-920, June 2019.
[J58] Yu Xiang, Vaneet Aggarwal, Tian Lan, and Yih-Farn Robin Chen, “Differentiated latency in data
center networks with erasure coded files through traffic engineering,” IEEE Transactions on Cloud
Computing, vol. 7, no. 2, pp. 495-508, 1 April-June 2019.
[J57] Anis Elgabli and Vaneet Aggarwal, “Deadline And Buffer Constrained Knapsack Problem,” IEEE
Transactions on Circuits and Systems for Video Technology, vol. 29, no. 5, pp. 1564-1568, May 2019.
[J56] Wenqi Wang, Vaneet Aggarwal, and Shuchin Aeron, “Principal Component Analysis with Tensor
Train Subspace,” Pattern Recognition Letters, vol. 122, pp. 86-91, May 2019.
[J55] Abubakr Alabbasi, Vaneet Aggarwal, and Moo-Ryong Ra, “Multi-tier Caching Analysis in CDN-
based Over-the-top Video Streaming Systems,” IEEE/ACM Transactions on Networking, vol. 27, no.
2, pp. 835-847, April 2019.
[J54] Yang Zhang, Arnob Ghosh, Vaneet Aggarwal, and Tian Lan, “Tiered cloud storage pricing via two-
stage, latency-aware bidding,” IEEE Transactions on Network and Service Management, vol. 16, no.
1, pp. 176-191, March 2019.
[J53] Zijian He, Vaneet Aggarwal, and Shimon Y. Nof, “A Policy for Differentiated Service Levels in
Warehouse Automation Systems,”International Journal of Production Research, vol. 56, no. 22, pp.
6956-6970, 2018.
[J52] Arnob Ghosh, Randall Berry, and Vaneet Aggarwal, “Spectrum Measurement Markets for Tiered
Spectrum Access”, IEEE Transactions on Cognitive Communications and Networking, vol. 4, no. 4,
pp. 929-941, Dec. 2018.
[J51] Arnob Ghosh and Vaneet Aggarwal, “Menu-Based Pricing for Charging of Electric Vehicles with
Vehicle-to-Grid Service,” IEEE Transactions on Vehicular Technology, vol. 67, no. 11, pp. 10268-
10280, Nov. 2018.Vaneet Aggarwal 16
[J50] Arnob Ghosh and Vaneet Aggarwal, “Electric Vehicle Charging with Menu-Based Pricing,” IEEE
Transactions on Smart Grid, vol. 9, no. 6, pp. 5918-5929, Nov. 2018.
[J49] Dixita Limbachia, Manish Gupta, and Vaneet Aggarwal, “Family of Constrained Codes for Archival
DNA Data Storage,” IEEE Communications Letters, vol. 22, no. 10, pp. 1972-1975, Oct. 2018.
[J48] Milad Rezaee, Mahtab Mirmohseni, Vaneet Aggarwal, and Mohammad Reza Aref, “Optimal Trans-
mission Policies for Multi-hop Energy Harvesting Systems,” IEEE Transactions on Green Communi-
cations and Networking, vol. 2, no. 3, pp. 751-763, Sept. 2018.
[J47] Abubakr Alabassi and Vaneet Aggarwal, “Video Streaming in Distributed Erasure-coded Storage
Systems: Stall Duration Analysis,” IEEE/ACM Transactions on Networking, vol. 26, no. 4, pp.
1921-1932, Aug. 2018.
[J46] Anis Elgabli, Vaneet Aggarwal, Shuai Hao, Feng Qian, and Subhabrata Sen, “LBP: Robust Rate
Adaptation Algorithm for SVC Video Streaming,” IEEE/ACM Transactions on Networking, vol. 26,
no. 4, pp. 1633-1645, Aug. 2018.
[J45] Wenqi Wang, Vaneet Aggarwal, and Shuchin Aeron, “Tensor Train Neighborhood Preserving Em-
bedding,” IEEE Transactions on Signal Processing, vol. 66, no. 10, pp. 2724-2732, May, 2018.
[J44] Morteza Ashraphijuo, Vaneet Aggarwal, and Xiaodong Wang, “On Deterministic Sampling Patterns
for Robust Low-Rank Matrix Completion,” IEEE Signal Processing Letters, vol. 25. no. 3, pp. 343-
347, Mar 2018.
[J43] Vaneet Aggarwal, Zhe Wang, Xiaodong Wang, and Muhammad Ismail, “Energy Scheduling for
Optical Channels with Energy Harvesting Devices,” IEEE Transactions on Green Communications
and Networking, vol. 2, no. 1, pp. 154-162, Mar 2018.
[J42] Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan, and Yu Xiang, “Sprout: A functional caching ap-
proach to minimize service latency in erasure-coded storage,” ACM/IEEE Transactions on Networking,
vol. 25, no. 6, pp. 3683-3694, Dec 2017.
[J41] Wenqi Wang, Vaneet Aggarwal, and Shuchin Aeron, “Unsupervised Clustering Under The Union of
Polyhedral Cones (UOPC) Model,” Pattern Recognition Letters, vol. 100, pp. 104-109, Dec 2017.
[J40] Vaneet Aggarwal, Mark R. Bell, Anis Elgabli, Xiaodong Wang, and Shan Zhong, “Joint Energy-
Bandwidth Allocation for Multi-User Channels with Cooperating Hybrid Energy Nodes,” IEEE Trans-
actions on Vehicular Technology, vol. 66, no. 11, pp. 9880-9889, Nov. 2017.
[J39] Mehdi Ashraphijuo, Vaneet Aggarwal, and Xiaodong Wang, “The DoF of Two-way Butterfly Net-
work with or without Relay Caching,” IEEE Communication Letters, Oct 2017.
[J38] Morteza Ashraphijuo, Xiaodong Wang, and Vaneet Aggarwal, “Rank Determination for Low-Rank
Data Completion,” Journal of Machine Learning Research, vol. 18, Sept 2017.
[J37] Mehdi Ashraphijuo, Vaneet Aggarwal, and Xiaodong Wang, “On the DoF of Two-way 2 × 2 × 2
Relay Networks with or without Relay Caching,” IET Transactions on Communications, Volume 11,
Issue 13, pp. 2089 – 2094, Sept 2017.
[J36] Alireza Vahid, Vaneet Aggarwal, Salman Avestimehr, and Ashutosh Sabharwal, “Interference Man-
agement with Mismatched Partial Channel State Information,” Eurasip Journal on Wireless Commu-
nications and Networking, Aug 2017.
[J35] Yu Xiang, Tian Lan, Vaneet Aggarwal, and Yih-Farn Robin Chen, “Optimizing Differentiated La-
tency in Multi-Tenant, Erasure-Coded Storage,” IEEE Transactions on Network and Service Manage-
ment, vol. 14, no. 1, pp. 204-216, March 2017.Vaneet Aggarwal 17
[J34] Mehdi Ashraphijuo, Vaneet Aggarwal, and Xiaodong Wang, “Generalized Degrees of Freedom of
K-user Interference Channels with Limited Feedback,” IEEE Trans. Inf. Th., vol. 62, no. 12, pp.
6969-6985, Dec. 2016.
[J33] Vaneet Aggarwal and Lauren Huie, “Antenna Placement in MIMO Radar-Based Systems with
different quality receive antennas,” IEEE Signal Processing Letters, vol. 23, no. 12, pp. 1732-1735,
Dec 2016.
[J32] Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, and Min-You Wu, “Adaptive
Sampling of RF fingerprints for Fine-grained Indoor Localization,” IEEE Transactions on Mobile Com-
puting, vol. 15, no. 10, pp. 2411-2423, Oct. 2016.
[J31] Yu Xiang, Tian Lan, Vaneet Aggarwal, and Yih-Farn Robin Chen, “Joint Latency and Cost Opti-
mization for Erasure-coded Data Center Storage,” IEEE/ACM Transactions on Networking, vol. 24,
no. 4, pp. 2443-2457, Aug. 2016.
[J30] Zhe Wang, Vaneet Aggarwal, and Xiaodong Wang, “Optimal Energy-Bandwidth Allocation for
Energy-Harvesting Networks in Multiuser Fading Channels,” IEEE Journal on Selected Areas in Com-
munications, vol. 34, no. 5, pp. 1565-1577, May 2016.
[J29] Zhe Wang, Vaneet Aggarwal, and Xiaodong Wang, “Transmission with Energy Harvesting Nodes in
Frequency-Selective Fading Channels,” IEEE Transactions on Wireless Communications, vol. 15, no.
3, pp. 1642-1656, March 2016.
[J28] Pedro Santacruz, Vaneet Aggarwal, and Ashutosh Sabharwal, “Leveraging Physical Layer Capabil-
ities: Distributed Scheduling in Interference Networks with Local Views,” IEEE/ACM Transactions
on Networking, vol. 24, no. 1, pp. 368-382, Feb. 2016.
[J27] Robert Margolies, Ashwin Sridharan, Vaneet Aggarwal, Ritwik Jana, N.K. Shankaranarayanan,
Vinay Vaishampayan, and Gil Zussman, “Exploiting Mobility in Proportional Fair Cellular Scheduling:
Measurements and Algorithms,” IEEE/ACM Transactions on Networking, vol. 24, no. 1, pp. 355-367,
Feb. 2016.
[J26] Mehdi Ashraphijuo, Vaneet Aggarwal, and Xiaodong Wang, “On the Capacity of Energy Harvesting
Communication Link,” IEEE Journal on Selected Areas in Communications, vol. 33, no. 12, pp. 2671-
2686, Dec. 2015.
[J25] Mehdi Ashraphijuo, Vaneet Aggarwal, and Xiaodong Wang, “On the Capacity of Two-Way Diamond
Channel,” IEEE Trans. Inf. Th., vol. 61, no. 11, pp. 6060–6090, Nov. 2015.
[J24] Zhe Wang, Vaneet Aggarwal, and Xiaodong Wang, “Joint Energy-Bandwidth Allocation in Multiple
Broadcast Channels with Energy Harvesting,” IEEE Transactions on Communications, vol. 63, no.
10, pp. 3842–3855, Oct. 2015.
[J23] Chao Tian, Birenjith Sasidharan, Vaneet Aggarwal, Vinay Vaishampayan, and P. Vijay Kumar,
“Layered, Exact-Repair Regenerating Codes Via Embedded Error Correction and Block Designs,”
IEEE Trans. Inf. Th., vol. 61, no. 4, pp. 1933–1947, April 2015.
[J22] Zhe Wang, Vaneet Aggarwal, and Xiaodong Wang, “Iterative Dynamic Water-filling for Fading
Multiple-Access Channels with Energy Harvesting,” IEEE J-SAC Special Issue on Wireless Commu-
nications Powered by Energy Harvesting and Wireless Energy Transfer, vol. 33, no. 3, pp. 382–395,
Mar 2015
[J21] Zhe Wang, Vaneet Aggarwal, and Xiaodong Wang, “Power Allocation for Energy Harvesting Trans-
mitter with Causal Information,” IEEE Transactions on Communications, vol. 62, no. 11, pp. 4080–
4093, Nov. 2014.Vaneet Aggarwal 18
[J20] Yu Xiang, Tian Lan, Vaneet Aggarwal, and Yih-Farn Robin Chen, “Joint Latency and Cost Opti-
mization for Erasure-coded Data Center Storage,” ACM SIGMETRICS Performance Evaluation Re-
view, vol, 42, no. 2, pp. 3–14, Sept. 2014.
[J19] Mehdi Ashraphijuo, Vaneet Aggarwal, and Xiaodong Wang, “On the Capacity and Degrees of
Freedom Regions of Two-User MIMO Interference Channels with Limited Receiver Cooperation,”
IEEE Trans. Inf. Th., vol. 60, no. 7, pp. 4170–4196, July 2014
[J18] Melissa Duarte, Ashutosh Sabharwal, Vaneet Aggarwal, Rittwik Jana, Kadangode Ramakrishnan,
Chris Rice, and N. K. Shankar, “Design and Characterization of a Full-duplex Multi-antenna System
for WiFi networks,” IEEE Transactions on Vehicular Tech., vol. 63, no. 3, pp. 1160–1177, March
2014.
[J17] Mehdi Ashraphijuo, Vaneet Aggarwal, and Xiaodong Wang, “On the Capacity Region and the
Generalized Degrees of Freedom Region for MIMO Interference Channel with Feedback,” IEEE Trans.
Inf. Th., vol. 59, no. 12, pp. 8357–8376, Dec. 2013.
[J16] Vaneet Aggarwal, and N.K. Shankaranarayan, “Performance of a Random-Access Wireless Network
with a Mix of Full- and Half-Duplex Stations,” IEEE Trans. Communication Letters, vol. 17, no. 11,
pp. 2200–2203, Nov. 2013.
[J15] Achaleshwar Sahai, Vaneet Aggarwal, Melda Yüksel and Ashutosh Sabharwal, “Capacity of All Nine
Models of Channel Output Feedback for the Two-User Interference Channel,” I EEE Transactions on
Information Theory, vol. 59, no. 11, pp. 6957–6979, Nov 2013.
[J14] Vaneet Aggarwal, Vijay Gopalakrishnan, Rittwik Jana, Kadangode Ramakrishnan and Vinay Vaisham-
payan, “Improved Cloud Resource Utilization for IPTV Transmission,” R-letters, vol. 4, no. 4, pp.
13–14, Aug. 2013.
[J13] Vaneet Aggarwal, Vijay Gopalakrishnan, Rittwik Jana, Kadangode Ramakrishnan and Vinay Vaisham-
payan, “Optimizing Cloud Resources for Delivering IPTV Services through Virtualization,” IEEE
Transactions on Multimedia, special issue on Cloud-Based Mobile Media: Infrastructure, Services, vol.
15, no. 4, pp. 789–801, June 2013
[J12] Vaneet Aggarwal, Youjian Liu and Ashutosh Sabharwal, “Sum-capacity of Interference Channels
with a Local View: Impact of Distributed Decisions,” IEEE Trans. Information Theory, vol. 48(3),
pp. 1630–1659, Mar 2012.
[J11] Satashu Goel, Vaneet Aggarwal, Aylin Yener and Robert Calderbank, “The Effect of Eavesdroppers
on Network Connectivity: A Secrecy Graph Approach,” IEEE Transactions on Information Forensics
& Security, vol. 6(3), pp. 712–724, Sept 2011.
[J10] Vaneet Aggarwal and Ashutosh Sabharwal, “Bits About the Channel: Multi-round Protocols for
Two-way Fading Channels,” IEEE Trans. Information Theory, vol. 57(6), pp. 3352–3370, June 2011.
[J9] Vaneet Aggarwal, Salman Avestimehr, and Ashutosh Sabharwal, “On Achieving Local View Capac-
ity Via Maximal Independent Graph Scheduling,” Special Issue of the IEEE Transactions on Informa-
tion Theory on Interference Networks, vol. 57(5), pp. 2711–2729, May 2011.
[J8] Vaneet Aggarwal, A. Robert Calderbank, Gerald Gilbert and Yaakov S. Weinstein, “Volume Thresh-
olds for Quantum Fault Tolerance,” Quantum Information Processing, pp. 541–549, Oct. 2010.
[J7] Vaneet Aggarwal and Ashutosh Sabharwal, “Power-Controlled Training and Feedback for Two-way
MIMO Channels,” IEEE Trans. Information Theory, vol. 56, no. 7, pp. 3310–3331, July 2010.
[J6] Vaneet Aggarwal, Lalitha Sankar, A. Robert Calderbank, and H. Vincent Poor, “Secrecy capacity of
a class of orthogonal relay eavesdropper channels,” EURASIP special issue on Wireless Physical Layer
Security, Jul. 2009.Vaneet Aggarwal 19
[J5] Amir Bennatan, Vaneet Aggarwal, Yiyue Wu, A. Robert Calderbank, Jacob Hoydis and Aik Chin-
dapol, “Bounds and Lattice-Based Transmission Strategies for the Phase-Faded Dirty-Paper Channel,”
IEEE Trans. Wireless Communications, vol. 8(7), pp. 3620-3627, Jul. 2009.
[J4] Vaneet Aggarwal, Amir Bennatan, and A. Robert Calderbank, “On Maximizing Coverage in Gaus-
sian Relay Channels”, IEEE Trans. Information Theory, vol. 55, no. 6, pp. 2518–2536, Jun. 2009.
[J3] Vaneet Aggarwal and Ashutosh Sabharwal, “Performance of Multiple Access Channels with Asym-
metric Feedback,” IEEE Journal on Selected Areas in Communications, vol. 26, no. 8, pp. 1516–1525,
Oct 2008.
[J2] Vaneet Aggarwal and A. Robert Calderbank, “Boolean Functions, Projection Operators, and Quan-
tum Error Correcting Codes,” IEEE Trans. Information Theory, vol. 54, no. 4, pp. 1700–1707, Apr
2008.
[J1] Vaneet Aggarwal and Ashutosh Sabharwal, “Slotted Gaussian Multiple Access Channel: Stable
Region and Impact of Side Information,” EURASIP special issue on Theory and Applications in Mul-
tiuser/Multiterminal Communications, Apr 2008.
Conference Publications
Key Publication Venues: IEEE ISIT, Allerton, IEEE Infocom, IEEE ICDCS, ACM Multimedia, ACM
Mobicom, AAAI, IEEE ICCV, IEEE CVPR, IFIP Performance, IEEE CCGrid, ACM Hotmobile, GECCO
[C116] Mridul Agarwal and Vaneet Aggarwal, “Blind Decision Making: Reinforcement Learning with Delayed
Observations,” in Proc. ICAPS, Jun 2021.
[C115] Jiayu Chen, Abhishek K. Umrawal, Tian Lan, and Vaneet Aggarwal, “DeepFreight: A Model-free
Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery,” in Proc. ICAPS,
Jun 2021.
[C114] Souvik Das, Anirudh Shankar, and Vaneet Aggarwal, “Training Spiking Neural Networks with a Multi-
Agent Evolutionary Robotics Framework,” in Proc. GECCO, Jul 2021.
[C113] Servio Palacios, Drew Zabrocki, Bharat Bhargava, and Vaneet Aggarwal, “Auditable Serverless Com-
puting for Farm Management,” International Workshop on Big Data in Emergent Distributed Envi-
ronments (BiDEDE), Jun 2021.
[C112] Glebys Gonzalez, Mridul Agarwal, Mythra Varun Balakuntala Srinivasa Murthy, Md Masudur Rah-
man, Upinder Kaur, Juan Wachs, Richard Voyles, Vaneet Aggarwal, and Yexiang Xue, “DESERTS:Delay-
Tolerant Semi-Autonomous Robot Teleoperation for Surgery,” in Proc. IEEE International Conference
on Robotics and Automation (ICRA), May-Jun 2021.
[C111] Ather Gattami, Qinbo Bai, and Vaneet Agarwal, “Reinforcement Learning for Multi-Objective and
Constrained Markov Decision Processes,” in Proc. AISTATS, Apr 2021 (29.8% acceptance rate,
455/1527)
[C110] Shanuja Sasi, Vaneet Aggarwal, and B. Sundar Rajan, “An Embedded Index Code Construction
Using Sub-packetization,” in Proc. IEEE Information Theory Workshop (ITW), Apr 2021.
[C109] Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, and Abhishek Umrawal, “Stochastic Com-
binatorial Bandits with Linear Space and Non-Linear Feedback,” in Proc. ALT, Mar 2021 (29.3%
acceptance rate, 46/157).
[C108] Marina Haliem, Vaneet Aggarwal, and Bharat Bhargava, “Novelty Detection and Adaptation: A Do-
main Agnostic Deep Reinforcement Learning Approach,” in Proc. International Semantic Intelligence
Conference (ISIC 2021), Feb 2021.You can also read
