ERIC W. ALLENDER Department of Computer Science
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TWAS an Rep IMP
annual re2p0or1t 0 TWAS, the academy of sciences for the developing world, is an autonomous international organization that promotes scientific capacity and excellence in the South. Founded in 1983 by a group of eminent scientists under the leadership of the late Nobel laureate Abdus Salam of Pakistan, TWAS was officially launched in Trieste, Italy, in 1985, by the secretary-general of the United Nations. TWAS has nearly 1,000 members from over 90 countries. More than 80% of its members are from developing countries. A 13-member council directs the Academy activities. A secretariat, headed by an executive director, coordinates the programmes. The Academy’s secretariat is located on the premises of the Abdus Salam International Centre for Theoretical Physics (ICTP) in Trieste, Italy. TWAS’s administration and finances are overseen by the United Nations Educational, Scientific and Cultural Organization (UNESCO) in accordance with an agreement signed by the two organizations. The Italian government provides a major portion of the Academy’s funding. The main objectives of TWAS are to: • Recognize, support and promote excellence in scientific research in the developing world; • Respond to the needs of young researchers in science and technology- lagging developing countries; • Promote South-South and South-North cooperation in science, technology and innovation; • Encourage scientific research and sharing of experiences in solving major problems facing developing countries. To help achieve these objectives, TWAS collaborates with a number of organizations, most notably UNESCO, ICTP and the International Centre for Biotechnology and Genetic Engineering (ICGEB). academy of sciences for the developing world TWAS COUNCIL President Jacob Palis (Brazil) Immediate Past President C.N.R. -
Patent Filed, Commercialized & Granted Data
Granted IPR Legends Applied IPR Total IPR filed till date 1995 S.No. Inventors Title IPA Date Grant Date 1 Prof. P K Bhattacharya (ChE) Process for the Recovery of 814/DEL/1995 03.05.1995 189310 05.05.2005 Inorganic Sodium Compounds from Kraft Black Liquor 1996 S.No. Inventors Title IPA Date Grant Date 1 Dr. Sudipta Mukherjee (ME), A Novel Attachment for Affixing to 1321/DEL/1996 12.08.1996 192495 28.10.2005 Anupam Nagory (Student, ME) Luggage Articles 2 Prof. Kunal Ghosh (AE) A Device for Extracting Power from 2673/DEL/1996 02.12.1996 212643 10.12.2007 to-and-fro Wind 1997 S.No. Inventors Title IPA Date Grant Date 1 Dr. D Manjunath, Jayesh V Shah Split-table Atm Multicast Switch 983/DEL/1997 17.04.1997 233357 29.03.2009 1998 S.No. Inventors Title IPA Date Grant Date 1999 1 Prof. K. A. Padmanabhan, Dr. Rajat Portable Computer Prinet 1521/DEL/1999 06.12.1999 212999 20.12.2007 Moona, Mr. Rohit Toshniwal, Mr. Bipul Parua 2000 S.No. Inventors Title IPA Date Grant Date 1 Prof. S. SundarManoharan (Chem), A Magnetic Polymer Composition 858/DEL/2000 22.09.2000 216744 24.03.2008 Manju Lata Rao and Process for the Preparation of the Same 2 Prof. S. Sundar Manoharan (Chem) Magnetic Cro2 – Polymer 933/DEL/2000 22.09.2000 217159 27.03.2008 Composite Blends 3 Prof. S. Sundar Manoharan (Chem) A Magneto Conductive Polymer 859/DEL/2000 22.09.2000 216743 19.03.2008 Compositon for Read and Write Head and a Process for Preparation Thereof 4 Prof. -
Computational Complexity Computational Complexity
In 1965, the year Juris Hartmanis became Chair Computational of the new CS Department at Cornell, he and his KLEENE HIERARCHY colleague Richard Stearns published the paper On : complexity the computational complexity of algorithms in the Transactions of the American Mathematical Society. RE CO-RE RECURSIVE The paper introduced a new fi eld and gave it its name. Immediately recognized as a fundamental advance, it attracted the best talent to the fi eld. This diagram Theoretical computer science was immediately EXPSPACE shows how the broadened from automata theory, formal languages, NEXPTIME fi eld believes and algorithms to include computational complexity. EXPTIME complexity classes look. It As Richard Karp said in his Turing Award lecture, PSPACE = IP : is known that P “All of us who read their paper could not fail P-HIERARCHY to realize that we now had a satisfactory formal : is different from ExpTime, but framework for pursuing the questions that Edmonds NP CO-NP had raised earlier in an intuitive fashion —questions P there is no proof about whether, for instance, the traveling salesman NLOG SPACE that NP ≠ P and problem is solvable in polynomial time.” LOG SPACE PSPACE ≠ P. Hartmanis and Stearns showed that computational equivalences and separations among complexity problems have an inherent complexity, which can be classes, fundamental and hard open problems, quantifi ed in terms of the number of steps needed on and unexpected connections to distant fi elds of a simple model of a computer, the multi-tape Turing study. An early example of the surprises that lurk machine. In a subsequent paper with Philip Lewis, in the structure of complexity classes is the Gap they proved analogous results for the number of Theorem, proved by Hartmanis’s student Allan tape cells used. -
The Communication Complexity of Interleaved Group Products
The communication complexity of interleaved group products W. T. Gowers∗ Emanuele Violay April 2, 2015 Abstract Alice receives a tuple (a1; : : : ; at) of t elements from the group G = SL(2; q). Bob similarly receives a tuple (b1; : : : ; bt). They are promised that the interleaved product Q i≤t aibi equals to either g and h, for two fixed elements g; h 2 G. Their task is to decide which is the case. We show that for every t ≥ 2 communication Ω(t log jGj) is required, even for randomized protocols achieving only an advantage = jGj−Ω(t) over random guessing. This bound is tight, improves on the previous lower bound of Ω(t), and answers a question of Miles and Viola (STOC 2013). An extension of our result to 8-party number-on-forehead protocols would suffice for their intended application to leakage- resilient circuits. Our communication bound is equivalent to the assertion that if (a1; : : : ; at) and t (b1; : : : ; bt) are sampled uniformly from large subsets A and B of G then their inter- leaved product is nearly uniform over G = SL(2; q). This extends results by Gowers (Combinatorics, Probability & Computing, 2008) and by Babai, Nikolov, and Pyber (SODA 2008) corresponding to the independent case where A and B are product sets. We also obtain an alternative proof of their result that the product of three indepen- dent, high-entropy elements of G is nearly uniform. Unlike the previous proofs, ours does not rely on representation theory. ∗Royal Society 2010 Anniversary Research Professor. ySupported by NSF grant CCF-1319206. -
Design Programme Indian Institute of Technology Kanpur
Design Programme Indian Institute of Technology Kanpur Contents Overview 01- 38 Academic 39-44 Profile Achievements 45-78 Design Infrastructure 79-92 Proposal for Ph.D program 93-98 Vision 99-104 01 ew The design-phase of a product is like a womb of a mother where the most important attributes of a life are concieved. The designer is required to consider all stages of a product-life like manufacturing, marketing, maintenance, and the disposal after completion of product life-cycle. The design-phase, which is based on creativity, is often exciting and satisfying. But the designer has to work hard worrying about a large number of parameters of man. In Indian context, the design of products is still at an embryonic stage. The design- phase of a product is often neglected in lieu of manufacturing. A rapid growth of design activities in India is a must to bring the edge difference in the world of mass manufacturing and mass accessibility. The start of Design Programme at IIT Kanpur in the year 2001, is a step in this direction. overvi The Design Program at IIT-Kanpur was established with the objective of advancing our intellectual and scientific understanding of the theory and practice of design, along with the system of design process management and product semantics. The programme, since its inception in 2002, aimed at training post-graduate students in the technical, aesthetic and ergonomic practices of the field and to help them to comprehend the broader cultural issues associated with contemporary design. True to its interdisciplinary approach, the faculty members are from varied fields of engineering like mechanical, computer science, bio sciences, electrical and chemical engineering and humanities. -
The Multiplicative Weights Update Method: a Meta Algorithm and Applications
The Multiplicative Weights Update Method: a Meta Algorithm and Applications Sanjeev Arora∗ Elad Hazan Satyen Kale Abstract Algorithms in varied fields use the idea of maintaining a distribution over a certain set and use the multiplicative update rule to iteratively change these weights. Their analysis are usually very similar and rely on an exponential potential function. We present a simple meta algorithm that unifies these disparate algorithms and drives them as simple instantiations of the meta algo- rithm. 1 Introduction Algorithms in varied fields work as follows: a distribution is maintained on a certain set, and at each step the probability assigned to i is multi- plied or divided by (1 + C(i)) where C(i) is some kind of “payoff” for element i. (Rescaling may be needed to ensure that the new values form a distribution.) Some examples include: the Ada Boost algorithm in ma- chine learning [FS97]; algorithms for game playing studied in economics (see below), the Plotkin-Shmoys-Tardos algorithm for packing and covering LPs [PST91], and its improvements in the case of flow problems by Young, Garg-Konneman, and Fleischer [You95, GK98, Fle00]; Impagliazzo’s proof of the Yao XOR lemma [Imp95], etc. The analysis of the running time uses a potential function argument and the final running time is proportional to 1/2. It has been clear to most researchers that these results are very similar, see for instance, Khandekar’s PhD thesis [Kha04]. Here we point out that these are all instances of the same (more general) algorithm. This meta ∗This project supported by David and Lucile Packard Fellowship and NSF grant CCR- 0205594. -
Adaptive Garbled RAM from Laconic Oblivious Transfer
Adaptive Garbled RAM from Laconic Oblivious Transfer Sanjam Garg?1, Rafail Ostrovsky??2, and Akshayaram Srinivasan1 1 University of California, Berkeley fsanjamg,[email protected] 2 UCLA [email protected] Abstract. We give a construction of an adaptive garbled RAM scheme. In the adaptive setting, a client first garbles a \large" persistent database which is stored on a server. Next, the client can provide garbling of mul- tiple adaptively and adversarially chosen RAM programs that execute and modify the stored database arbitrarily. The garbled database and the garbled program should reveal nothing more than the running time and the output of the computation. Furthermore, the sizes of the garbled database and the garbled program grow only linearly in the size of the database and the running time of the executed program respectively (up to poly logarithmic factors). The security of our construction is based on the assumption that laconic oblivious transfer (Cho et al., CRYPTO 2017) exists. Previously, such adaptive garbled RAM constructions were only known using indistinguishability obfuscation or in random oracle model. As an additional application, we note that this work yields the first constant round secure computation protocol for persistent RAM pro- grams in the malicious setting from standard assumptions. Prior works did not support persistence in the malicious setting. 1 Introduction Over the years, garbling methods [Yao86,LP09,AIK04,BHR12b,App17] have been extremely influential and have engendered an enormous number of applications ? Research supported in part from DARPA/ARL SAFEWARE Award W911NF15C0210, AFOSR Award FA9550-15-1-0274, AFOSR YIP Award, DARPA and SPAWAR under contract N66001-15-C-4065, a Hellman Award and research grants by the Okawa Foundation, Visa Inc., and Center for Long-Term Cybersecurity (CLTC, UC Berkeley). -
DIMACS Series in Discrete Mathematics and Theoretical Computer Science
DIMACS Series in Discrete Mathematics and Theoretical Computer Science Volume 65 The Random Projection Method Santosh S. Vempala American Mathematical Society The Random Projection Method https://doi.org/10.1090/dimacs/065 DIMACS Series in Discrete Mathematics and Theoretical Computer Science Volume 65 The Random Projection Method Santosh S. Vempala Center for Discrete Mathematics and Theoretical Computer Science A consortium of Rutgers University, Princeton University, AT&T Labs–Research, Bell Labs (Lucent Technologies), NEC Laboratories America, and Telcordia Technologies (with partners at Avaya Labs, IBM Research, and Microsoft Research) American Mathematical Society 2000 Mathematics Subject Classification. Primary 68Q25, 68W20, 90C27, 68Q32, 68P20. For additional information and updates on this book, visit www.ams.org/bookpages/dimacs-65 Library of Congress Cataloging-in-Publication Data Vempala, Santosh S. (Santosh Srinivas), 1971– The random projection method/Santosh S. Vempala. p.cm. – (DIMACS series in discrete mathematics and theoretical computer science, ISSN 1052- 1798; v. 65) Includes bibliographical references. ISBN 0-8218-2018-4 (alk. paper) 1. Random projection method. 2. Algorithms. I. Title. II. Series. QA501 .V45 2004 518.1–dc22 2004046181 0-8218-3793-1 (softcover) Copying and reprinting. Individual readers of this publication, and nonprofit libraries acting for them, are permitted to make fair use of the material, such as to copy a chapter for use in teaching or research. Permission is granted to quote brief passages from this publication in reviews, provided the customary acknowledgment of the source is given. Republication, systematic copying, or multiple reproduction of any material in this publication is permitted only under license from the American Mathematical Society. -
January 2011 Prizes and Awards
January 2011 Prizes and Awards 4:25 P.M., Friday, January 7, 2011 PROGRAM SUMMARY OF AWARDS OPENING REMARKS FOR AMS George E. Andrews, President BÔCHER MEMORIAL PRIZE: ASAF NAOR, GUNTHER UHLMANN American Mathematical Society FRANK NELSON COLE PRIZE IN NUMBER THEORY: CHANDRASHEKHAR KHARE AND DEBORAH AND FRANKLIN TEPPER HAIMO AWARDS FOR DISTINGUISHED COLLEGE OR UNIVERSITY JEAN-PIERRE WINTENBERGER TEACHING OF MATHEMATICS LEVI L. CONANT PRIZE: DAVID VOGAN Mathematical Association of America JOSEPH L. DOOB PRIZE: PETER KRONHEIMER AND TOMASZ MROWKA EULER BOOK PRIZE LEONARD EISENBUD PRIZE FOR MATHEMATICS AND PHYSICS: HERBERT SPOHN Mathematical Association of America RUTH LYTTLE SATTER PRIZE IN MATHEMATICS: AMIE WILKINSON DAVID P. R OBBINS PRIZE LEROY P. S TEELE PRIZE FOR LIFETIME ACHIEVEMENT: JOHN WILLARD MILNOR Mathematical Association of America LEROY P. S TEELE PRIZE FOR MATHEMATICAL EXPOSITION: HENRYK IWANIEC BÔCHER MEMORIAL PRIZE LEROY P. S TEELE PRIZE FOR SEMINAL CONTRIBUTION TO RESEARCH: INGRID DAUBECHIES American Mathematical Society FOR AMS-MAA-SIAM LEVI L. CONANT PRIZE American Mathematical Society FRANK AND BRENNIE MORGAN PRIZE FOR OUTSTANDING RESEARCH IN MATHEMATICS BY AN UNDERGRADUATE STUDENT: MARIA MONKS LEONARD EISENBUD PRIZE FOR MATHEMATICS AND OR PHYSICS F AWM American Mathematical Society LOUISE HAY AWARD FOR CONTRIBUTIONS TO MATHEMATICS EDUCATION: PATRICIA CAMPBELL RUTH LYTTLE SATTER PRIZE IN MATHEMATICS M. GWENETH HUMPHREYS AWARD FOR MENTORSHIP OF UNDERGRADUATE WOMEN IN MATHEMATICS: American Mathematical Society RHONDA HUGHES ALICE T. S CHAFER PRIZE FOR EXCELLENCE IN MATHEMATICS BY AN UNDERGRADUATE WOMAN: LOUISE HAY AWARD FOR CONTRIBUTIONS TO MATHEMATICS EDUCATION SHERRY GONG Association for Women in Mathematics ALICE T. S CHAFER PRIZE FOR EXCELLENCE IN MATHEMATICS BY AN UNDERGRADUATE WOMAN FOR JPBM Association for Women in Mathematics COMMUNICATIONS AWARD: NICOLAS FALACCI AND CHERYL HEUTON M. -
Thesis Title
Exp(n+d)-time Algorithms for Computing Division, GCD and Identity Testing of Polynomials A Thesis Submitted in Partial Fulfilment of the Requirements for the Degree of Master of Technology by Kartik Kale Roll No. : 15111019 under the guidance of Prof. Nitin Saxena Department of Computer Science and Engineering Indian Institute of Technology Kanpur June, 2017 Abstract Agrawal and Vinay showed that a poly(s) hitting set for ΣΠaΣΠb(n) circuits of size s, where a is !(1) and b is O(log s) , gives us a quasipolynomial hitting set for general VP circuits [AV08]. Recently, improving the work of Agrawal and Vinay, it was showed that a poly(s) hitting set for Σ ^a ΣΠb(n) circuits of size s, where a is !(1) and n, b are O(log s), gives us a quasipolynomial hitting set for general VP circuits [AFGS17]. The inputs to the ^ gates are polynomials whose arity and total degree is O(log s). (These polynomials are sometimes called `tiny' polynomials). In this thesis, we will give a new 2O(n+d)-time algorithm to divide an n-variate polynomial of total degree d by its factor. Note that this is not an algorithm to compute division with remainder, but it finds the quotient under the promise that the divisor completely divides the dividend. The intuition behind allowing exponential time complexity here is that we will later apply these algorithms on `tiny' polynomials, and 2O(n+d) is just poly(s) in case of tiny polynomials. We will also describe an 2O(n+d)-time algorithm to find the GCD of two n-variate polynomials of total degree d. -
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Provided by the author(s) and University College Dublin Library in accordance with publisher policies. Please cite the published version when available. Title Realistic Computer Models Authors(s) Ajwani, Deepak; Meyerhenke, Henning Publication date 2010-01-01 Publication information Muller-Hannemann, M., Schirra, S. (eds.). Algorithm Engineering: Bridging the Gap between Algorithm Theory and Practice Series Lecture Notes in Computer Science (LNCS, volume 5971) Publisher Springer Item record/more information http://hdl.handle.net/10197/9901 Publisher's statement The final publication is available at www.springerlink.com. Publisher's version (DOI) 10.1007/978-3-642-14866-8_5 Downloaded 2021-09-25T22:20:55Z The UCD community has made this article openly available. Please share how this access benefits you. Your story matters! (@ucd_oa) © Some rights reserved. For more information, please see the item record link above. Chapter 5. Realistic Computer Models Deepak Ajwani ⋆ and Henning Meyerhenke ⋆⋆ 5.1 Introduction Many real-world applications involve storing and processing large amounts of data. These data sets need to be either stored over the memory hierarchy of one computer or distributed and processed over many parallel computing devices or both. In fact, in many such applications, choosing a realistic computation model proves to be a critical factor in obtaining practically acceptable solutions. In this chapter, we focus on realistic computation models that capture the running time of algorithms involving large data sets on modern computers better than the traditional RAM (and its parallel counterpart PRAM) model. 5.1.1 Large Data Sets Large data sets arise naturally in many applications. We consider a few examples here. -
Win the Cyber War
PROGRAM PARTNER Become a Cyber Security Expert Win the Cyber War Advanced Certification Program in Cyber Security and Cyber Defense Build world-class expertise in Cyber Security. The Advanced Certification Program in Cyber Security and Cyber Defense by IIT Kanpur, in association with TalentSprint, is designed for current and aspiring professionals who are keen to explore and exploit the latest trends in Cyber Security Technologies. A combination of deep academic rigor and intense practical approach will allow participants to master in-demand skills and build world class expertise. C3i Advantage Master Mentors Experiential Learning Experience C3i, India’s Learn from experts globally Master state-of- art skills by leading Cyber Security recognized for contribution to Cyber combining deep formal rigor research center at IIT Kanpur Security and Cyber Defense and intense practical approach Global Certification Peer Networking Get certified by IIT Kanpur, a Join the elite community of top global trailblazer in Computer Cyber Security professionals, Science Research and Education practitioners and researchers 3 IIT Kanpur, global trailblazer in Computer Science Research and Education IIT Kanpur, established in 1959, is one of the premier institutions in Computer Science education and research with an aim to provide leadership in technological innovation. As the technology innovation hub will enable us to hire more researchers, engineers, faculty, postdoctoral fellows, visiting faculty – we believe further such programs targeted not only for executives in IT companies, but also utility engineers, and government/defense sector can be launched. Ranked among top engineering colleges by NIRF 2019. Hosts C3i - India’s leading Research Centre in Cyber Security of Cyber Physical Systems Collaborates with global centers of excellence (Israel and USA) in Cyber Security Built on World-class Academic Research Culture 4 Faculty Experts at the cutting-edge of Cyber Security research Dr.