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Aug 3, 2024, 4:14:02 PM8/3/24

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Prior to joining the University of Minnesota, Saumya Sinha was a postdoctoral scholar at Rice University, working with Prof. Andrew Schaefer in the areas of optimization and organ transplantation. Before to that, Sinha received a Ph.D. in applied mathematics under the supervision of Prof. Archis Ghate at the University of Washington, Seattle. Her research focuses on problems of sequential decision-making and optimization under uncertainty, motivated primarily by applications in healthcare operations, health policy and inventory control.

A. Dunbar, S. Sinha, A.J. Schaefer. "Relaxations and duality for multiobjective integer programming," submitted to Mathematical Programming. Finalist for the INFORMS Undergraduate Operations Research Prize, 2020.

D. Mildebrath, T. Lee, S. Sinha, A.J. Schaefer, A.O. Gaber. "Characterizing rational transplant program response to outcome-based regulation," to appear in Operations Research. (preprint)

UO mathematics professor Dev Sinha has been traveling the state of Oregon in recent weeks to give the keynote address at a series of Oregon Department of Education K-12 trainings in Portland, Eugene and La Grande.

Going forward, Sinha plans to keep working on implementing Common Core ideas in math classrooms around Oregon, using the California Math Project and similar programs around the region as a guiding light for the state.

Gavin is a PhD student at Rutgers, arriving after completing his undergraduate studies at the University of California Santa Cruz in astrophysics, high energy theory and mathematics. His overarching research interests are in mathematical physics and he is currently studying measures of entanglement in 1+1D Conformal Field Theories.

Rutgers is an equal access/equal opportunity institution. Individuals with disabilities are encouraged to direct suggestions, comments, or complaints concerning any accessibility issues with Rutgers web sites to access...@rutgers.edu or complete the Report Accessibility Barrier or Provide Feedback Form.

Kalyan Bidhan Sinha (K.B. Sinha) (born 3 June 1944) is an Indian mathematician. He is a professor at the Jawaharlal Nehru Centre for Advanced Scientific Research,[1] and Professor Emeritus for life of the Indian Statistical Institute.

Sinha is the author of numerous scientific works[2] in scattering theory, spectral theory of Schrdinger operators, quantum stochastic calculus, noncommutative geometry, and, more broadly, in mathematical physics.

Kalyan Bidhan Sinha graduated from Hindu School, Calcutta in 1960. He studied Physics at Presidency College, Calcutta, obtaining his Bachelor's degree from the University of Calcutta in 1963, and then studied at the University of Delhi where he was awarded a Master's degree in 1965. He obtained his Ph.D. in Physics from the University of Rochester in 1969.[3]

Sinha was a post-doctoral research associate at the University of Geneva. During this time he co-authored, with Werner Amrein and Josef-Maria Jauch, a well-known book[4] on scattering theory, which used mathematically rigorous methods to develop the subject.

Sinha served on the faculty of the Indian Statistical Institute from 1978 to 2005, serving as Director of the institute from 2000 to 2005. He has held numerous visiting faculty positions, at RIMS (Kyoto University),[5] University of Texas, Austin, University of Geneva, among many other institutions. He was Ulam Visiting Chair Professor at the University of Colorado, Boulder in 1980. He is currently Honorary Professor, Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore. He is also Distinguished Associate of Institute Mathematics Initiative, Indian Institute of Science, and Professor Emeritus, Indian Statistical Institute.

Sinha is President of the Association for Quantum Probability and Infinite Dimensional Analysis[6] (since 2013). He has served on numerous editorial boards, including those of Infinite Dimensional Analysis, Quantum Probability, and Related Topics,[7] Reviews in Mathematical Physics, and the Journal of Stochastic Analysis.[8]

In 2019 Sinha was awarded the Srinivasa Ramanujan Medal of the Indian National Science Academy.[9] He received the Shanti Swarup Bhatnagar Prize for Science and Technology, the highest science award in India, in the mathematical sciences category in 1988.[10] In 2004 Sinha was awarded the P.C. Mahalanobis Medal by the Indian Science Congress.[11]Sinha was elected Fellow of the TWAS[12] in 2002. He was named Professor Emeritus for Life of the Indian Statistical Institute in 2012.

var i = 0;var path = new Array();// LIST OF IMAGESpath[0] = "kbs1.jpg";path[1] = "kbs10.jpg";path[2] = "kbs11.jpg";path[3] = "kbs12.jpg";path[4] = "kbs13.jpg";path[5] = "kbs14.jpg";path[6] = "24.jpg";path[7] = "25.jpg";path[8] = "26.jpg";path[9] = "27.jpg";function swapImage() document.slide.src = path[i]; if(i < path.length - 1) i++; else i = 0; setTimeout("swapImage()",4500);window.onload=swapImage;NEWS! KBS Fest video playlist KBS Fest Pictures About Professor Kalyan Bidhan Sinha ( KBS) is turning 75 this year. He influenced quite a few mathematicians and mathematical physicists in his distinguished career since his return to india in the late 1970's. To celebrate this occasion and to bring together leading experts and young researchers in these fields of analysis, functional analysis, operator algebras and their interfaces with probability and geometry, we are planning a conference during 12-14 December, 2019. KBS worked in Quantum Field Theory during his doctoral studies, and after that on the Spectral Theory of Schrodinger operators, for several years in Geneva, Switzerland. His book on the Mathematical theory of Scattering in Quantum Mechanics (with W.O.Amrein and J.M. Jauch ) is a classic. While continuing his work on Spectral theory, KBS became interested in the then young subject of Quantum Probability, under the influence of Professor K.R. Parthasarathy at the Delhi Centre of ISI. They collaborated extensively, writing a series of pioneering papers, guided several students, wrote books on the subject. Many distinguished researchers in these areas, from all over the world, visited the Delhi Centre of ISI regularly, firmly establishing it as one of the major centres of quantum probability. Later, KBS got interested in the area of non- commutative geometry, trace formulae in operator theory and along with a few of his students, introduced these new areas in India .At present, Professor Kalyan Bidhan Sinha is a (honorary) professor and SERB-Distinguished Fellow at JNCASR, Bangalore, a member of the National Mathematics Initiative (NMI), I.I.Sc., Bangalore and an Emeritus Professor,

Research Focus
During my time at Virginia Tech I will be leading our team to work on problems at the intersection of wireless network security and generalizable machine learning. One of the key features of the AI-native future 6G network is the presence of pervasive connected intelligence", where most of the network functions are controlled by artificial intelligence (AI) and most of the network nodes are engaging in multi-agent AI-based applications such as extended reality interactions, health monitoring systems, or robot-enabled automation. These AI-based applications will seek to improve their performance by taking advantage of the large body of distributed datasets and computational capabilities offered by the 6G networks. However, many organizations such as financial traders, clinical labs, and cloud services are not allowed to transmit their personalized data. Thus, in order to protect the participating dataset nodes, privacy-preserving distributed learning technologies have become indispensable.

At the same time, the generalizability of machine learning models is highly desirable for 6G network applications, and the wider machine learning community is experiencing many breakthroughs in the department of generalizable learning. However, such an increased drive to include more and more heterogeneous data in learning applications also opens up the door to insidious adversarial attacks that mainly aim to disrupt the online operation of the models. Thus the overarching goal of this project is to balance the generalizability-vulnerability trade-off for distributed learning models, as they apply to wireless applications.

Why did you choose to pursue postdoctoral training at Virginia Tech?
Apart from Virginia Tech's high reputation in wireless research, I also found a close match of interest with Prof. Walid Saad and Prof. Jacek Kibilda. My skills in distributed learning and the mathematical theory of machine learning are well complemented by the skillsets of Prof. Saad's and Prof. Kibilda's team. This not only enriches our experience and learning but also enhances our chance of massive success. Lastly and very importantly I plan to utilize the testbed resources available at the CCI Hub to implement a proof-of-concept model with multiple distributed wireless nodes and stress test our proposed solutions.

What are you most looking forward to as you begin in this fellowship at Virginia Tech?
I am looking forward to taking advantage of the thriving wireless research community at Virginia Tech to build collaborations that help me develop my research skills in diverse directions and thus push the envelope of the state-of-the-art research in wireless and machine learning.

KC Sinha Class 12 Hindi Solutions cover all chapters in the textbook and are created by subject matter experts who have extensive knowledge and experience in teaching mathematics. Using KC Sinha Class 12 Solutions can help students improve their grades and become more confident in their ability to solve mathematical problems.