Publications

To get a quick summary, click on [Short discription]. To get a more colorful summary, click on the [Handout]!

Journal/Magazine Papers and Preprints

Published or Accepted (to appear)



43. Abnormalities in cortical pattern of coherence in migraine detected using ultra high-density EEG. A Chamanzar, SM Haigh, P Grover, M Behrmann. Brain Communications 3 (2), 2021.


43. Quantifying a frequency modulation response biomarker in responsive neurostimulation. P Venkatesh, D Sneider, M Danish, ND Sisterson, N Zaher, A Urban, .... Journal of Neural Engineering 18 (4), 2021.


42. Neural silences can be localized rapidly using noninvasive scalp EEG. A Chamanzar, M Behrmann, P Grover. Nature Communications Biology 4 (1), 429, 2021.


41. Projections and the potential societal impact of the future of neurotechnologies. KS Gaudry, H Ayaz, A Bedows, P Celnik, D Eagleman, P Grover, J Illes, ... Frontiers in Neuroscience, 1417, 2021.
40. Current conceptual understanding of the epileptogenic network from stereoelectroencephalography-based connectivity inferences. K Gupta, P Grover, TJ Abel. Frontiers in Neurology, 2020.


39. Addressing unreliability in emerging devices and non-von Neumann architectures using coded computing. S Dutta, H Jeong, Y Yang, V Cadambe, TM Low, P Grover. Proceedings of the IEEE 108 (8), 1219-1234.


38. Addressing unreliability in emerging devices and non-von Neumann architectures using coded computing. S Dutta, H Jeong, Y Yang, V Cadambe, TM Low, P Grover. Proceedings of the IEEE 108 (8), 1219-1234, 2020.


37. Information flow in computational systems. P Venkatesh, S Dutta, P Grover. IEEE Transactions on Information Theory 66 (9), 5456-5491, 2020.


36. Cortical hyper‐excitability in migraine in response to chromatic patterns. SM Haigh, A Chamanzar, P Grover, M Behrmann. Headache: The Journal of Head and Face Pain 59 (10), 1773-1787, 2019.


35. Altered visual processing in migraine not associated with auditory abnormalities. SM Haigh, A Chamanzar, P Venkatesh, P Grover, M Behrmann. Journal of Vision 19 (10), 275-275


34. On the optimal recovery threshold of coded matrix multiplication S Dutta, M Fahim, F Haddadpour, H Jeong, V Cadambe, P Grover IEEE Transactions on Information Theory 66 (1), 278-301


33. Effect of skull thickness and conductivity on current propagation for noninvasively injected currents. M Forssell, C Goswami, A Krishnan, M Chamanzar, P Grover. Journal of Neural Engineering 18 (4), 2021.


32. Fairness under feature exemptions: Counterfactual and observational measures S Dutta, P Venkatesh, P Mardziel, A Datta, P Grover IEEE Transactions on Information Theory 67 (10), 2021.


31. Goswami, Chaitanya; Grover, Pulkit; PATHFINDER: Designing Stimulus for Neuromodulation through Data-driven Inverse Estimation of Non-linear Functions IEEE Transactions on Biomedical Engineering 2023


30. Cao, Jiaming; Grover, Pulkit; Kainerstorfer, Jana M; A model of neurovascular coupling and its application to cortical spreading depolarization Journal of Theoretical Biology 2023


29. Jain, Vishal; Forssell, Mats; Tansel, Derya Z; Goswami, Chaitanya; Fedder, Gary K; Grover, Pulkit; Chamanzar, Maysamreza; Focused Epicranial Brain Stimulation by Spatial Sculpting of Pulsed Electric Fields Using High Density Electrode Arrays Advanced Science 2023


28. Cao, Jiaming; Bulger, Eli; Shinn-Cunningham, Barbara; Grover, Pulkit; Kainerstorfer, Jana M; Diffuse Optical Tomography Spatial Prior for EEG Source Localization in Human Visual Cortex NeuroImage 2023


27. Chamanzar, Alireza; Elmer, Jonathan; Shutter, Lori; Hartings, Jed; Grover, Pulkit; Noninvasive and reliable automated detection of spreading depolarization in severe traumatic brain injury using scalp EEG. Nature Communications Medicine 2023


26. Robinson, Jacob T; Rommelfanger, Karen S; Anikeeva, Polina O; Etienne, Arnelle; French, Jennifer; Gelinas, Jennifer; Grover, Pulkit; Picard, Rosalind; Building a culture of responsible neurotech: neuroethics as socio-technical challenges Neuron 2022


25. J Cao, P Grover. STIMULUS: Noninvasive dynamic patterns of neurostimulation using spatio-temporal interference. IEEE Transactions on Biomedical Engineering, 2019.


24. A Chamanzar, S George, P Venkatesh, M Chamanzar, L Shutter, J Elmer, P Grover. An algorithm for automated, noninvasive detection of cortical spreading depolarizations based on EEG simulations. IEEE Transactions on Biomedical Engineering 66 (4), 1115-1126


23. S Haigh, A Robinson, P Grover, M Behrmann. Differentiation of Types of Visual Agnosia Using EEG. . Vision 2 (4), 44, 2018.


22. Y Yang, S Chen, MA Maddah-Ali, P Grover, S Kar, J Kovačević Fast Temporal Path Localization on Graphs via Multiscale Viterbi Decoding. IEEE Transactions on Signal Processing 66 (21), 5588-5603, 2018.


21. H Jeong, P Grover. Energy-Adaptive Error Correcting for Dynamic and Heterogeneous Networks. Proceedings of the IEEE, 2019.


20. S Dutta, Z Bai, TM Low, P Grover CodeNet: Training Large Scale Neural Networks in Presence of Soft-Errors arXiv preprint arXiv:1903.01042, 2019.


19. [NatSciRep '17] AK Robinson, P Venkatesh, MJ Boring, MJ Tarr, P Grover, M Behrmann. Very high density EEG elucidates spatiotemporal aspects of early visual processing. Nature Scientific Reports, Dec. 2017.


18. [TIT '17c] Yaoqing Yang, Soummya Kar, and Pulkit Grover. Graph Codes for distributed instant message collection in an arbitrary noisy broadcast network, IEEE Transactions on Information Theory, vol. 63, no. 9, Sept 2017.


17. [Proc. IEEE '17] Pulkit Grover and Praveen Venkatesh. An information-theoretic view of EEG sensing, Proceedings of the IEEE, special issue on Science of Information (edited by Tsachy Weissman, Ananth Grama, Tom Courtade).


16. [TIT '17b] Yaoqing Yang, Pulkit Grover, and Soummya Kar. Computing Linear Transformations with Unreliable Components, IEEE Transactions on Information Theory, Vol 63, No. 6, June 2017.


15. [TIT'17a] Yaoqing Yang, Pulkit Grover, and Soummya Kar. Rate Distortion for Lossy In-network Function Computation: Information Dissipation and Sequential Reverse Water-Filling, IEEE Transactions on Information Theory, Vol 63, no. 8, 2017.


14. X Li, RDS Blanton, P Grover, DE Thomas. Ultra-Low-Power Biomedical Circuit Design and Optimization: Catching the Don’t Cares. Springer Emerging Technology and Architecture for Big-data Analytics, 159-173, 2017.


13. [TWireless '15] Omur Ozel, Sennur Ulukus, and Pulkit Grover. Energy Harvesting Transmitters that Heat Up: Throughput Maximization under Temperature Constraints, IEEE Transactions on Wireless Communications, 2016.


12. [JSAC '16b] Majid Mahzoon, Christy (Yuan) Li, Xin Li, and Pulkit Grover. Rate-Constrained Distributed Learning and Classification by Exploiting Relative Relevance of Sensors' Data, to appear.


11. [JSAC '16a] Karthik Ganesan, Pulkit Grover, Jan Rabaey, and Andrea Goldsmith. Towards Approaching Total-Power-Capacity: Transmit and Decoding Power Minimization for LDPC Codes, IEEE Journal on Selected Areas in Communication (JSAC), 2016. Special issue on capacity-approaching codes.


10. [JSAC'15b] S. Ulukus, , E. Erkip, P. Grover, K. Huang, O. Simeone, A. Yener, M. Zorzi. Guest editorial: Wireless Communications Powered by Energy Harvesting and Wireless Energy Transfer, Part I (March) and Part II (August), IEEE JSAC special issue on Wireless Comm via Energy Harvesting and Wireless Power, 2015.


9. [JSAC'15] S. Ulukus, A. Yener, E. Erkip, O. Simeone, M. Zorzi, P. Grover, and K. Huang. Energy Harvesting Wireless Communications: A Review of Recent Advances, IEEE JSAC special issue on Wireless Comm via Energy Harvesting and Wireless Power, March 2015.


8. [TIT'15a] Pulkit Grover, “Information-Friction” and its Implications on Minimum Energy Required for Communication, IEEE Trans Information Theory, Feb. 2015, vol 61, issue 2, 895-907 [PDF]


7. [TIT'15b] Pulkit Grover, Aaron B. Wagner and Anant Sahai, Information Embedding and the Triple Role of Control. IEEE Transactions on Information Theory, 2015. [Short description] [PDF] [MATLAB code]


6. [Encyclo 14] Pulkit Grover, Information Structures, the Witsenhausen Counterexample, and Communicating Using Actions, Encyclopedia of Systems and Control, Springer-Verlag, 2014 [PDF] edited by John Baillieul and Tariq Samad.


5. [TAC '13] Pulkit Grover, Anant Sahai and Se Yong Park, Approximately-Optimal Solutions to the Finite-Dimensional Witsenhausen Counterexample. IEEE Transactions on Automatic Control, Sep 2013. [Short description] [PDF] [Talk Handout] [Talk Slides][MATLAB code]
   
   An approximate solution to Witsenhausen's counterexample: we show that quantization based strategies can obtain within a factor of 8 of the optimal costs for the original (scalar) Witsenhausen counterexample for all values of the problem parameters. Further, lattice based strategies obtain within a constant factor of optimal for vector Witsenhausen counterexample of any length. These are first results that show approximate optimality of any scheme for this longstanding problem.
   


4. [JSAC '11] Pulkit Grover, Kristen Ann Woyach and Anant Sahai, Towards a communication-theoretic understanding of system-level power consumption, IEEE Journal of Selected Areas in Communication (JSAC) Special Issue on Energy-Efficient Wireless Communications, Sept. 2011. [PDF][MATLAB Code] Winner of the 2012 IEEE Leonard G Abraham Award. One of IEEE Best Readings on Green Communications.


3. [CSM '10] Pulkit Grover and Anant Sahai, Demystifying the Witsenhausen Counterexample. IEEE Control Systems Magazine, vol. 30, no. 6, pp. 20-24, Dec. 2010.

Building on our work in [IJSCC 2010] paper, this paper derives an improved outer bound to the asymptotically infinite length Witsenhausen's counterexample, characterizing the optimal cost to within a factor of 1.3 of the optimal (an improvement from a factor of 2 earlier). The minimum required power for zero distortion is obtained exactly. Upper and lower bounds on cost are also derived for a problem where the first controller wants to communicate an explicit message to the second controller.


2. [IJSCC '10] Pulkit Grover and Anant Sahai, Vector Witsenhausen Counterexample as Assisted Interference Suppression. Special Issue on "Information Processing and Decision Making in Distributed Control Systems" of the International Journal of Systems, Control and Communications (IJSCC), 2010. [Short description]
   
   This paper put forth a novel approach to solving (approximately) the Witsenhausen counterexample. SomeIn 1967, Witsenhausen formulated a seemingly simple problem to demonstrate that decentralized control problems can be hard. That problem, now infamously called Witsenhausen's counterexample, is still unsolved. In 1986, Papadimitrou and Tsitsiklis showed that the discrete version of the problem is NP-complete. Faced with this conclusion, the research community has resorted to heuristics for obtaining good strategies. However, these approaches provide no guarantee on their gap from optimality.
   
   Recognizing the importance of implicit communication in decentralized control systems, we approach the counterexample in an otherwise counterintuitive way: we first address an asymptotic version of the problem. Using tools from information theory, we provide approximately optimal solutions that are guaranteed to attain within a uniform constant factor of the optimal for the asymptotic version of the counterexample (this paper). Performing a finer analysis, we then obtain approximation results for the original (scalar) counterexample and its vector extensions (Trans. Auto. Control '13, presented at ConCom '09).
   
   Our approach also extends to quite a few decentralized control problems beyond the original counterexample. See conference publications in decentralized control.


1. [TIT '07] Pulkit Grover and Ajit Kumar Chaturvedi, Upper Bounds on the Rate of LDPC codes for a class of Finite State Markov Channels, IEEE Transactions on Information Theory, 53(2), Feb. 2007 Page(s):794 - 804 . IEEExplore version.
   
   

Conference Papers (click on [Short description] for short descriptions)

102. Goswami, Chaitanya; Merkley, Amanda; Grover, Pulkit; Computing Unique Information for Poisson and Multinomial Systems arXiv preprint arXiv:2305.07013 2023


101. Jain, Vishal; Forssell, Mats; Tansel, Derya Z; Goswami, Chaitanya; Fedder, Gary K; Grover, Pulkit; Chamanzar, Maysamreza; High resolution focused non-invasive electrical stimulation of motor cortex in rodent model 2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) 2023


100. Goswami, Chaitanya; Grover, Pulkit; Automated Electrical Waveform Design for Cell-Type Selective Stimulation 2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) 2023


99. Li, Xiang; Reddy, Jay W; Jain, Vishal; Forssell, Mats; Grover, Pulkit; Chamanzar, Maysamreza; Time-Varying Mutual Information Analysis of Evoked in Vivo Local Field Potentials in Rodents 2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) 2023


90. Gurushankar, Keerthana; Venkatesh, Praveen; Grover, Pulkit; Extracting unique information through markov relations 2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton) 2022


89. Mehta, Neil Ashim; Grover, Pulkit; Efficient interventions in a neural circuit from observations: an information-theoretic study 2022 IEEE Information Theory Workshop (ITW) 2022


88. Gilpin, Yann; Lin, Ching-Yi; Forssell, Mats; Zheng, Siyang; Grover, Pulkit; Dandin, Marc; Tracking the effects of tumor treating fields on human breast cancer cells in vitro using a capacitance sensing lab-on-CMOS microsystem 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS) 2022


87. Venkatesh, Praveen; Dutta, Sanghamitra; Mehta, Neil; Grover, Pulkit; Can information flows suggest targets for interventions in neural circuits? Advances in Neural Information Processing Systems 2021


86. Yaoqing Yang, Pulkit Grover, and Soummya Kar. Coded Elastic Computing. IEEE International Symposium on Information Theory (ISIT) 2019,


85. Y Wong, Y Zhang, H Jeong, P Grover. Robust Molecular Dynamics Simulations Using Coded FFT Algorithm IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.


84. M Gopakumar, J Cao, SK Kelly, P Grover. Cell-type Selective Stimulation of Neurons Based on Single Neuron Models 9th International IEEE/EMBS Conference on Neural Engineering (NER), 411-414, 2019.


83. A Chamanzar, P Grover. Silence localization. 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019.


82. U Sheth, S Dutta, M Chaudhari, H Jeong, Y Yang, J Kohonen, T Roos, P Grover. An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation IEEE International Conference on Big Data (Big Data), 1113-1120, 2018.


81. Z Ahmed, J Reddy, K Deshpande, A Krishnan, P Venkatesh, S Kelly, P Grover, M Chamanzar. Flexible Ultra-resolution Subdermal EEG Probes. IEEE Biomedical Circuits and Systems Conference (BioCAS), 2018.


80. J Cao, P Grover. Do single neuron models exhibit temporal interference stimulation? IEEE Biomedical Circuits and Systems Conference (BioCAS), 2018.


79. F Haddadpour, Y Yang, V Cadambe, P Grover Cross-Iteration Coded Computing 56th Annual Allerton Conference on Communication, Control, and Computing, 2018.


78. H Jeong, F Ye, P Grover. Locally Recoverable Coded Matrix Multiplication. 56th Annual Allerton Conference on Communication, Control, and Computing, 2018.


77. H Jeong, TM Low, P Grover. Masterless Coded Computing: A Fully-Distributed Coded FFT Algorithm. 56th Annual Allerton Conference on Communication, Control, and Computing, 2018.


76. A Krishnan, R Kumar, P Venkatesh, S Kelly, P Grover. Low-Cost Carbon Fiber-Based Conductive Silicone Sponge EEG Electrodes. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference (EMBC), 2018.


75. S Dutta, Z Bai, H Jeong, TM Low, P Grover. A unified coded deep neural network training strategy based on generalized polydot codes. IEEE International Symposium on Information Theory (ISIT), 1585-1589, 2018.


74. Y Yang, P Grover, S Kar. Coding for a single sparse inverse problem IEEE International Symposium on Information Theory (ISIT), 1575-1579, 2018


73. R Kumar, P Venkatesh, R Sun, G Mohankumar, A Antony, M Richardson, P Grover. Ultra-high-density scalp EEG outperforms localized invasive ECoG grids in inferring depth of seizure foci. Clinical Neurophysiology 129, e113


72. [InterSol'17] Krishnan, Ashwati, Ritesh Kumar, Arnelle Etienne, Amanda Robinson, Shawn K. Kelly, Marlene Behrmann, Michael J. Tarr, and Pulkit Grover. Challenges and Opportunities in Instrumentation and Use of High-Density EEG for Underserved Regions. International Conference on Innovations and Interdisciplinary Solutions for Underserved Areas (pp. 72-82). Springer, Cham., 2017


71. [ICCN'18] Ritesh Kumar, Praveen Venkatesh, Rui Sun, Gayathri Mohankumar, Arun Antony, Mark Richardson, Pulkit Grover. Ultra-high-density scalp EEG outperforms localized invasive ECoG grids in inferring depth of seizure foci 31st International Congress of Clinical Neurophysiology (ICCN), to appear, 2018.


70. [BrainInjury'17] A Chamanzar, S George, P Venkatesh, W Ding, P Grover. Systematic and automated algorithms for detecting cortical spreading depolarizations using EEG and ECoG to improve TBI diagnosis and treatment . BRAIN INJURY 31 (6-7), 990-990.


69. [AES'17] Rui Sun, Pulkit Grover, Rudina Morina, Marie Bremner, Praveen Venkatesh, Anto Bagic, Mark Richardson, Jullie Pan, Alexandra Urban, Naoir Zaher, Arun Antony. Analysis of cortical stimulation data to localize intracranial electrodes using simultaneous scalp and stereo EEG recordings. American Epilepsy Society annual meeting, Dec. 2017.


68. [SfN'17]Praveen Venkatesh, Ashwati Krishnan, Jeffrey Weldon, Shawn Kelly, Pulkit Grover. Ultra-resolution Subdermal EEG: Long-term Minimally-invasive Brain Monitoring. Society for Neuroscience annual meeting, 2017.


67. [NIPS'17] Yaoqing Yang, Pulkit Grover, and Soummya Kar. Coded Distributed Computing for Inverse Problems. NIPS 2017.


66. [Allerton'17] M Fahim, H Jeong, F Haddadpour, S Dutta, V Cadambe, P Grover. On the optimal recovery threshold of coded matrix multiplication Allerton 2017.


65. [ISIT'17d] Sanghamitra Dutta,Viveck Cadambe, and Pulkit Grover. Coded convolution for parallel and distributed computing within a deadline. IEEE International Symposium on Information Theory (ISIT). Aachen, Germany, July 2017.


64. [ISIT'17c] Haewon Jeong, Christopher Blake, and Pulkit Grover. Energy-Adaptive Polar Codes: Trading Off Reliability and Decoding Energy with Adaptive Polar Coding Circuits. In: IEEE International Symposium on Information Theory (ISIT). Aachen, Germany, July 2017.


63. [ISIT'17b] Omur Ozel, Sennur Ulukus, and Pulkit Grover. Communicating under Temperature and Energy Harvesting Constraints. In: IEEE International Symposium on Information Theory (ISIT). Aachen, Germany, July 2017.


62. [ISIT'17a] Praveen Venkatesh and Pulkit Grover. Lower Bounds on the Minimax Risk for the Source Localization Problem IEEE International Symposium on Information Theory (ISIT). Aachen, Germany, July 2017.


61. [ICC'17] Omur Ozel, Sennur Ulukus, and Pulkit Grover. Wireless Information and Energy Transfer under Temperature Constraints. IEEE International Conference on Communications (ICC), Paris, France, May 2017.


60. [ICASSP'17] Yaoqing Yang, Siheng Chen, Mohammad Ali Maddah-Ali, Pulkit Grover, Soummya Kar, and Jelena Kovacevic. Fast Path Localization on Graphs via Multiscale Viterbi Decoding IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.


59. [NIPS '16] Sanghamitra Dutta,Viveck Cadambe, and Pulkit Grover.“Short-Dot”: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products. Advances on Neural Information Processing Systems (NIPS).


58. [Allerton '16] Yaoqing Yang, Pulkit Grover, and Soummya Kar. Fault-tolerant Distributed Logistic Regression Using Unreliable Components. Allerton 2016.


57. [ICML Workshop '16] Simon Du, Yichong Xu, Hongyang Zhang, Christy Li, Pulkit Grover, Aarti Singh. Novel Quantization Strategies for Linear Prediction with Guarantees. International Conference on Machine Learning (ICML), Workshop on “on-device intelligence.”


56. [SPAWC '16] Tongxin Li, Mayank Bakshi, and Pulkit Grover. Fundamental limits and achievable strategies for low energy compressed sensing with applications in wireless communication. IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), July 3-6, 2016 in Edinburgh, UK.


55. [ISIT '16] Pulkit Grover. Fundamental limits on source-localization accuracy of EEG-based brain interfaces. IEEE International Symposium on Information Theory (ISIT) 2016.


54. [ISIT '16] Yaoqing Yang, Pulkit Grover, and Soummya Kar. Coding for Lossy Function Computation: Analyzing Sequential Function Computation with Distortion Accumulation. IEEE International Symposium on Information Theory (ISIT) 2016.


53. [ISIT '16] Yaoqing Yang, Pulkit Grover, and Soummya Kar. Computing Linear Transforms with Unreliable Components. IEEE International Symposium on Information Theory (ISIT) 2016.


52. [ISIT '16] Yaoqing Yang, Pulkit Grover, and Soummya Kar. Energy Efficient Distributed Coding for Data Collection in a Noisy Sparse Network. IEEE International Symposium on Information Theory (ISIT) 2016.


51. [ISIT '16] Sanghamitra Dutta and Pulkit Grover. Adaptivity provably helps: information-theoretic limits on l-0 cost of non-adaptive sensing. IEEE International Symposium on Information Theory (ISIT) 2016.


50. [Comsnets '16] Christy (Yuan) Li and Pulkit Grover. Energy Efficient Learning and Classification for Distributed Sensing. COMSNETS 2016, Bangalore, India.


49. [ITA '16] Matthew Boring, Shawn Kelly, Jeffrey Weldon, Amanda Robinson, Marlene Behrmann, and Pulkit Grover. Experimentally challenging theoretical EEG correlations: Does a hiearchical referencing strategy lead to bit savings?, Workshop on Information Theory and its Applications (ITA) 2016.


48. [Allerton '15d] Pulkit Grover, Shawn Kelly, Jeff Weldon, Praveen Venkatesh and Haewon Jeong. An information theoretic technique for harnessing attenuation of high spatial frequencies to design ultra-high-density EEG. Annual Allerton Conference on Communication, Control, and Computing, 2015.


47. [Allerton '15c] Praveen Venkatesh and Pulkit Grover. Is the direction of greater Granger causal influence same as the direction of information flow? Annual Allerton Conference on Communication, Control, and Computing, 2015.


46. [SfN '15] Praveen Venkatesh and Pulkit Grover. Is the direction of Granger causal influence same as the direction of information flow? Neuroscience 2015, the annual meeting of the Society for Neuroscience (SfN).


45. [Asilomar '15] Ana Beisy Cruz and Pulkit Grover. Neurostimulation using Improved Focusing of Ultrasound. 49th Annual Asilomar Conference on Signals, Systems, and Computers, 2015.


44. [Asilomar '15] Pulkit Grover. Ultra-high-density EEG: how many bits of resolution do the electrodes need?. 49th Annual Asilomar Conference on Signals, Systems, and Computers, 2015.


43. [Allerton '15b] Haewon Jeong and Pulkit Grover. Energy-adaptive codes. Annual Allerton Conference on Communication, Control, and Computing.


42. [Allerton '15] Yaoqing Yang, Pulkit Grover, and Soummya Kar. Information-dissipation in noiseless lossy in-network function computation. Annual Allerton Conference on Communication, Control, and Computing.


41. [ISIT'15] Omur Ozel, Sennur Ulukus and Pulkit Grover. Optimal Scheduling for Energy Harvesting Transmitters under Temperature Constraints, IEEE International Symposium on Information Theory (ISIT), 2015.


40. [ISIC '14] Xin Li, Ronald (Shawn) Blanton, Pulkit Grover and Donald Thomas. “Ultra-Low-Power Biomedical Circuit Design and Optimization: Catching The Don't Cares.” International Symposium on Integrated Circuits, Singapore, 2014. Best paper award.


39. [Allerton '14c] Pooja Vyavahare, Majid Mahzoon, Pulkit Grover, Nutan Limaye, D Manjunath. “Information-Friction Limits on Computation.” 52nd Annual Allerton Conference on Communication, Control, and Computing, Monticello, Illinois, 2014.


38. [Allerton '14b] Majid Mahzoon, Hassan Alabawi, Xin Li, Pulkit Grover. “Quantifying Relevance of Data Pieces for EfficientBig Data Communication, with an Application toNeural Data Acquisition.” 52nd Annual Allerton Conference on Communication, Control, and Computing, Monticello, Illinois, 2014.


37. [Allerton '14a] Yaoqing Yang, Pulkit Grover, Soummya Kar. “Can a Noisy Encoder be Used to Communicate Reliably?” 52nd Annual Allerton Conference on Communication, Control, and Computing, Monticello, Illinois, 2014.


36. [ISIT'14] Pulkit Grover. “Is the “Shannon capacity of Noisy Computing” zero?” IEEE International Symposium on Information Theory (ISIT), 2014.


35. [CMU Electricity Conf.'14] Pulkit Grover. “Understanding “Information Friction” for Minimizing Power Consumed in Data Centers and Big Data Processing” CMU Electricity Conference, 2014


34. [GreenComm '13] Pulkit Grover. “What do we need to do to “green” data-center networks?” IEEE Online Conference on Green Communications, 2013.


33. [Asilomar '13] Max Regan and Pulkit Grover. “Intrusion detection for wireless power networks, near-field communication, and side-channel attacks”. Proceedings of the 47th Asilomar Conference on Signals, Systems and Computers, 2013.


32. [ISIT '13] Pulkit Grover. “Information-Friction” and its impact on minimum energy per communicated bit. IEEE International Symposium on Information Theory (ISIT), 2013.


31. [Allerton '12] Karthik Ganesan, Pulkit Grover, and Andrea Goldsmith, How far are LDPC codes from fundamental limits on total power consumption?, 49th Annual Allerton Conference on Communication, Control, and Computing, Monticello, Illinois, Oct. 2012.


30. [Globecom '12] Karthik Ganesan, Yang Wen, Pulkit Grover, Andrea Goldsmith and Jan Rabaey, Choosing “green” codes by simulation-based modeling of implementations, IEEE Globecom 2012.


29. [CISS '12] Pulkit Grover. Implicit and Explicit Communication for Efficiency and Security. Conference on Information Sciences and Systems (CISS) 2012.


28. [ITA '12] Lav Varshney, Pulkit Grover and Anant Sahai. Securing Inductively Coupled Communication. Workshop on Information Theory and its Applications (ITA) 2012


27. [ISIT '12] Pulkit Grover, Andrea Goldsmith and Anant Sahai. Fundamental limits on complexity and power consumption in coded communication. IEEE International Symposium on Information Theory (ISIT), 2012. [PDF]


26. [Allerton '11] Pulkit Grover, Andrea Goldsmith, Anant Sahai and Jan Rabaey, Information theory meets circuits: Why capacity-approaching codes require more chip area and power, 49th Annual Allerton Conference on Communication, Control, and Computing, Monticello, Illinois, Sept. 2011.


25. [EUSIPCO '11] Pulkit Grover, Anant Sahai and Ji-Hoon Park, Simple models for power optimization across transmission, equalization and decoding, 2011 European Signal Processing Conference.


24. [SiPS '11] Karthik Ganesan, Pulkit Grover, and Jan Rabaey, The power cost of overdesigning codes, 2011 IEEE Workshop on Signal Processing Systems, Beirut, Lebanon.


23. [DAC '11] Karthik Ganesan and Pulkit Grover, Decoding power can increase significantly with increased wire-lengths and code performance: empirical results, Design Automation Conference (DAC) 2011, Work In Progress Session.


22. [CISS '11] Pulkit Grover and Anant Sahai, Fundamental bounds on the interconnect complexity of decoder implementations, Accepted at the Conference on Information Sciences and Systems (CISS) 2011.


21. [ISTC '10] Pulkit Grover, Kristen Ann Woyach, Hari Palaiyanur and Anant Sahai, An interference-aware perspective on decoding power. 6th International Symposium on turbo codes and iterative information processing (ISTC). [PDF]


20. [ISIT '10] Pulkit Grover, Hari Palaiyanur and Anant Sahai, Information-theoretic tradeoffs on throughput and chip power consumption for decoding error-correcting codes. IEEE International Symposium on Information Theory (ISIT) 2010. [PDF]


19. [ISIT '10] Pulkit Grover and Anant Sahai, Shannon meets Tesla: Wireless information and power transfer. IEEE International Symposium on Information Theory (ISIT) 2010. [PDF]


18. [ISIT '09] Pulkit Grover and Anant Sahai, Time-division multiplexing for Green Broadcasting. (extended version) Proceedings of the IEEE International Symposium on Information Theory (ISIT), 2009. [Short description] [PDF] [Handout] [Slides] [MATLAB code]
    
    At short distances, decoding power can be comparable to transmit power. In such cases, simple time-division multiplexing based schemes outperform transmit-power optimal superposition-based schemes if the decoding power is also taken into account. We also provide an improvement over the best known outer bound on the error exponents for the Gaussian broadcast channel.
    
    
    
16. [ISIT '08] Pulkit Grover and Anant Sahai, Green Codes: Energy-Efficient Short-Range Communication. Proceedings of the 2008 International Symposium on Information Theory in Toronto, 2008. [Short description] [PDF] [Slides]
    
    We consider the problem of decoding energy for short distance wireless communication problems in Verdu's capacity per-unit. We show that as the error probability goes to zero, the required total energy-per-bit increases to infinity, even if the rate is allowed to be arbitrary. Further, the optimal rate is non-zero, contrary to the prediction of classical theory. For minimizing total energy-per-bit, therefore, it might be prudent to communicate at a rate higher than desired.
    
    
    
15. [ITW '07] Pulkit Grover, Bounds on the Tradeoff between decoding complexity and rate for codes on graphs, Proceedings of the IEEE Information Theory Workshop (ITW) 2007, Lake Tahoe, CA, 2007. [PDF]


14. [FNANO '12] V Kulkarni, Pulkit Grover, Marc Riedel and Andrea Goldsmith, “Retroactivity cancelation in signaling cascades” 9th Annual Conference on Foundations of Nanoscience, 2012.


13. [CDC '11] Pulkit Grover and Cedric Langbort, The role of common “context” in signaling. IEEE Conference on Decision and Control (CDC), 2011 (accepted for publication).


12. [ISIT '11] Pulkit Grover and Anant Sahai, The “source-simplification” aspect of signaling. IEEE International Symposium on Information Theory (ISIT) 2011.


11. [Allerton '10] Pulkit Grover and Anant Sahai, Implicit and Explicit Communication in Decentralized Control. 48th Annual Allerton Conference on Communication, Control, and Computing, Monticello, Illinois. [PDF] [Handout] [Slides]


10. [CDC '10] Pulkit Grover and Anant Sahai, Is Witsenhausen's counterexample a relevant toy? IEEE Conference on Decision and Control (CDC) 2010. [PDF] Winner of the best student paper award.


9. [ISIT '10] Pulkit Grover and Anant Sahai, Distributed signal cancelation inspired by Witsenhausen's counterexample. (Expanded version) IEE International Symposium on Information Theory (ISIT) 2010. [PDF containing full proofs] [Proceedings version]. Finalist for the best student paper award.


8. [ITW '10] Pulkit Grover, Aaron B. Wagner and Anant Sahai, Information Embedding Meets Distributed Control. Proceedings of the IEEE Information Theory Workshop 2010, Cairo, Egypt. [PDF] [MATLAB code]


7. [Allerton '09] Pulkit Grover, Se Yong Park and Anant Sahai, On the Generalized Witsenhausen Counterexample. Proceedings of the Forty-Seventh Annual Allerton Conference on Communication, Control, and Computing, Monticello, Illinois, 2009. [PDF]


6. [ConCom '09] Pulkit Grover, Anant Sahai and Se Yong Park, The finite-dimensional Witsenhausen counterexample. (Extended version) Proceedings of the 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Workshop on Control over Communication Channels (ConCom) 2009. [Short description] [PDF] [Handout] [Slides][MATLAB code]
   Companion paper : Se Yong Park, Pulkit Grover and Anant Sahai, A constant factor approximately-optimal solution to the Witsenhausen counterexample . Proceedings of the 48th Conference on Decision and Control (CDC) 2009.
   
   An approximate solution to Witsenhausen's counterexample: we show that quantization based strategies can obtain within a factor of 8 of the optimal costs for the original (scalar) Witsenhausen counterexample for all values of the problem parameters. Further, lattice based strategies obtain within a constant factor of optimal for vector Witsenhausen counterexample of any length. These are first results that show approximate optimality of any scheme for this longstanding problem.
   The companion paper provides a different proof (based on same principles) for the constant factor optimality (for the scalar case), though the approximation factor itself is not as tight.
   
   
   
5. [CDC '08] Pulkit Grover and Anant Sahai, A vector version of Witsenhausen's counterexample : Towards convergence of control, communication and computation. Proceedings of the IEEE Conference on Decision and Control in Cancun, Mexico, 2008. [Short description] [PDF] [Handout] [Slides] [MATLAB code]
   
   This paper was the first step to obtaining an approximately optimal solution to the Witsenhausen counterexample. We derive upper and lower bounds on the costs for the vector extension to the counterexample. We show that the ratio of the upper and lower bound is no more than 2 for any choice of problem parameters for infinite vector length.
   We also connected the problem to computation of good control schemes. Our results suggest that there are fundamental tradeoffs between the costs of control, communication, and computation.


4. [Globecom '11] Kristen Woyach, Pulkit Grover and Anant Sahai, Near vs far field: interference aggregation in TV white spaces, IEEE Globecom 2011. [PDF]
   
   
3. [DySPaN '07] Pulkit Grover and Anant Sahai, On the need for knowledge of the phase in exploiting known primary transmissions, Proceedings of the IEEE DySPAN 2007, Dublin, Ireland (The linked paper includes follow-up work that appeared in the Proceedings of IEEE International Symposium on Information Theory (ISIT) 2007). [PDF]
   
   
2. [ITW '04] Pulkit Grover and Ajit Kumar Chaturvedi, Upper Bounds on the Rate of LDPC Codes for Gilbert-Elliott Channels, Proceedings of the IEEE Information Theory Workshop (ITW) 2004, San Antonio, Texas, October 2004. [PDF]
   
   
1. [NCC '05] Pulkit Grover and Ajit Kumar Chaturvedi, Upper Bounds on the Rate of Randomly Constructed LDPC Codes for a Class of Markov Channels, Proceedings of the National Conference on Communications (NCC) 2005, IIT Kharagpur, Kharagpur, India, January 2005. [PDF]

Ph.D. Thesis

Pulkit Grover. Actions can speak more clearly than words. UC Berkeley, Dec. 2010

Masters Thesis

Pulkit Grover. LDPC Codes: Bounds on the rate for FSMCs and some results on minimal stopping sets. July 2005, IIT Kanpur [PDF]