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The computer science department sponsors a weekly seminar series presented by a combination of department faculty, graduate students and external speakers. All seminars are held at 10:00 a.m. CST via Zoom, using passcode 1234, unless otherwise stated. Regular attendance is required of all graduate students. An archive of departmental seminars can be found here. The seminar syllabus can be found at the bottom of this webpage.
Again, the passcode is 1234 and the Zoom link is above and here: https://umsystem.zoom.us/j/91226409145
Please visit the MSTCS YouTube Channel to view past seminars. You will be able to find videos for each Seminar Speaker.
Distinguished Talk Title: AI for Social Impact: Results from multiagent reasoning and learning in the real world
Date: January 25, 2021
With the maturing of AI and multiagent systems research, we have a tremendous opportunity to direct these advances towards addressing complex societal problems. I focus on the problems of public health and conservation, and address one key cross-cutting challenge: how to effectively deploy our limited intervention resources in these problem domains. I will present results from work around the globe in using AI for HIV prevention, Maternal and Child care interventions, TB prevention and COVID modeling, as well as for wildlife conservation. Achieving social impact in these domains often requires methodological advances. To that end, I will highlight key research advances in multiagent reasoning and learning, in particular in, computational game theory, multi-armed bandits and influence maximization in social networks. In pushing this research agenda, our ultimate goal is to facilitate local communities and non-profits to directly benefit from advances in AI tools and techniques.
Dr. Milind Tambe is Gordon McKay Professor of Computer Science and Director of Center for Research in Computation and Society at Harvard University; concurrently, he is also Director "AI for Social Good" at Google Research India. He is a recipient of the IJCAI John McCarthy Award, ACM/SIGAI Autonomous Agents Research Award from AAMAS, AAAI Robert S Engelmore Memorial Lecture award, INFORMS Wagner prize, Rist Prize of the Military Operations Research Society, Columbus Fellowship Foundation Homeland security award, AAMAS influential paper award, best paper awards at conferences such as AAMAS, IJCAI, IVA, and meritorious commendations from agencies such as the US Coast Guard and the Los Angeles Airport. Prof. Tambe is a fellow of AAAI and ACM.
Nokia Bell Labs
Talk Title: Indoor Networks with a 6th Sense
Date: February 1, 2021
Wireless connectivity will soon enable people to consume mixed reality content anywhere and cloud-connected mobile robots will perform complex tasks collaboratively. This connectivity will come to enterprises, factory floors and digital homes first, powered by indoor networks that offer much higher data rates, greater reliability and lower latency than today’s networks. In addition to providing traditional communication capabilities, the future indoor network will have a “sixth sense” that enables it to provide sensory information and insights to people and machines. It will serve as the core infrastructure for smart buildings and help enterprises operate more efficiently by further enabling capabilities such as immersive virtual workplaces, indoor navigation and asset tracking. In this talk I will examine the enabling technologies of the future indoor network and present our latest research results and our vision for implementing them in commercial and residential environments.
Dr. Klaus Doppler is the technical lead of the Mirror X project in Nokia Bell Labs. In his previous role, he has been heading the Indoor Networks Research focusing on ubiquitous Gigabit connectivity and platforms for smart buildings, enterprises and factories. He has been responsible for wireless research and standardization in Nokia Technologies, incubated a new business line and pioneered research on D2D Communications underlaying LTE networks. Klaus received inventor awards in Nokia for 100+ granted patent applications. He has published 40+ scientific publications, received his Ph.D. from Aalto University, Finland in 2010 and his M.Sc. from Graz University of Technology, Austria in 2003.
Princeton University (NAE member)
Distinguished Talk Title: Physical Layer Security in Wireless Networks
Date: February 8, 2021
The increasing deployment of wireless systems poses security challenges in emerging dynamic and decentralized networks consisting of very large numbers of low-cost and low-complexity devices. Over the last two decades alternative/complementary means to secure data exchange in wireless settings have been investigated in the framework of physical layer security (PLS), addressing jointly the issues of reliability and secrecy. PLS takes advantage of the inherent randomness of wireless communication channels and/or the unclonability of hardware fabrication processes, to harvest entropy and deliver authentication, confidentiality, message integrity, and privacy in demanding scenarios. In this talk, we review these issues from an information theoretic security perspective. PLS relies on information theoretic proofs of (weak or strong) perfect secrecy, a notion first introduced by Shannon in 1949. As such, PLS systems cannot be “broken” irrespective of the adversarial computational power, i.e., the proofs do not rely on any assumptions regarding the hardness of particular families of algebraic problems. There are some fundamental differences between information theoretic security and classical cryptography, and we will also discuss some of the pros and cons of each.
H. Vincent Poor is the Michael Henry Strater University Professor of Electrical Engineering at Princeton University, where his interests include information theory, machine learning and network science, and their applications in wireless networks, energy systems and related fields. He is a member of the National Academy of Engineering and the National Academy of Sciences, and a foreign member of the Chinese Academy of Sciences and the Royal Society. Recognition of his work includes the 2017 IEEE Alexander Graham Medal, and honorary doctorates from universities in Asia, Europe and North America.
University of Pisa, Italy
Talk Title: Facing the Challenges of Industry 4.0
Date: February 15, 2021
The fourth industrial revolution (also known as Industry 4.0) is expected to change radically the industrial production system. The capillary introduction of sensors and actuators in production lines, their integration into existing information systems, the utilization of robotics and artificial intelligence, will enable the complete digitalization of production processes, thus improving the efficiency and safety of the entire industrial production system.
On the other hand, Industry 4.0 poses a number of challenges and requires a paradigm shift from all actors involved in the process. In this talk, I will analyze some of these challenges, including research and technology transfer. Then, I will focus on the Industrial Internet of Things (IIoT), one of the key enablers of Industry 4.0. In this field, the Internet Engineering Task Force (IETF) has defined the 6TiSCH architecture to enable low-power industrial-grade Internet communication. I will survey the main protocols and solutions proposed for it, with special emphasis on scheduling for (soft) real-time industrial applications. Available implementations and open issues will be mentioned as well.
Dr. Giuseppe Anastasi was the Head of the Department of Information Engineering at the University of Pisa, Italy, from 2016 to 2020. He is currently a Professor of computer engineering at the same department, where he directs the “CrossLab” program, funded by the Italian Ministry of Education and Research (MIUR), which aims at structuring six interdisciplinary and integrated laboratories (CrossLabs) for Industry 4.0. His scientific interests include Wireless Sensor Networks, Internet of Things, Cyber-physical Systems, Cybersecurity, and Smart Environments (Smart Cities, Smart Industries, and Smart Grid). He is a co-editor of two books: Advanced Lectures in Networking (LNCS 2497, Springer, 2002), and Methodologies and Technologies for Networked Enterprises (LNCS 7200, Springer, 2012). He has published more than 150 research papers in the area of computer networks and distributed systems. Dr. Anastasi is currently serving as Steering Committee member of the IEEE SMARTCOMP conference. Previously, he served as Area Editor of Pervasive and Mobile Computing (PMC, 2007-16); Associate Editor of Sustainable Computing (SUSCOM, 2010-15); Area Editor of Computer Communications (ComCom, 2008-10); General Chair of IEEE SMARTCOMP 2018, IEEE WoWMoM 2005; Program Chair of IEEE SMARTCOMP 2016, IEEE MSN 2015, IFIP/IEEE SustainIT 2012, IEEE PerCom 2010 and IEEE WoWMoM 2008. He has co-founded many successful international workshops and conferences.
Additional info at: http://www.iet.unipi.it/g.anastasi/
Carlo Vallati is an Assistant Professor (tenured) at the Department of Information Engineering of the University of Pisa. He received a Master's Degree (magna cum laude) and a PhD in Computer Systems Engineering in 2008 and 2012, respectively, from the University of Pisa. In 2010, he visited the Computer Science department of the University of California at Davis, while in 2017 he visited the Computer Science Department of the Missouri Science and Technology University. He is co-author of +70 peer-reviewed papers in international journals and conference proceedings. He has been involved in many national and international projects also with leading roles. He is currently member of the editorial board of three international journals, “Ad Hoc Networks”, Elsevier, “Journal of Reliable Intelligent Environments”, Springer and “Applied Sciences”, MDPI. He has served as guest editor for the Special Issue "Selected paper from IoT-SoS 2017", Journal of Reliable Intelligent Environments, Springer (in press July 2018) and he is serving as guest editor for the Special Issue “Smart computing: Research trends and perspectives” , Pervasive and Mobile Computing, Elsevier. He has served as Program Committee member in more than 30 international conferences and workshops, among them IEEE WoWMoM, IEEE SMARTCOMP, EWSN, IEEE ICNC, IEEE CCNC. He has served as TPC co-chair for the conference IEEE SMARTCOMP 2020 and as Track co-chair for the conference IEEE CCNC 2021. He has served as Workshop Chair for the 2017 edition of the IEEE IoT-SoS workshop and as Vice-Chair for the 2013 edition. He served as TPC Co-Chair for the 2019 and 2018 editions of the IEEE SmartSys 2018 workshop co-located with IEEE SMARTCOMP.
He is the coordinator of the laboratory 'Cloud Computing, Big Data and Cybersecurity Crosslab' founded in the framework of the 'Crosslab', funded by the Italian Ministry of Education and Research (MIUR), which aims at structuring six interdisciplinary and integrated laboratories (CrossLabs) for Industry 4.0.
Addditional info at: http://www.iet.unipi.it/c.vallati/
MIT (NAE member)
Distinguished Talk Title: By the People, For the People: what science tells us about liberal democracy
Date: February 22, 2021
The design of Western society, and virtually all of our debates about society, are based on the 18th century model of humans as rational individuals. Modern science tells us that while this a decent first approximation, it is fundamentally wrong when it comes to understanding capitalism, education, and governance. I will talk about how a better understanding of ourselves as social beings can address many of the challenges we face.
MIT Prof. Alex Pentland is co-creator of the MIT Media Lab and the field of Computational Social Science. He was key in discussions that lead to the EU privacy regulations (GDPR) and shaping the UN Sustainable Development Goals. He is a member of the US National Academies, discussion leader for the World Leadership Alliance, and a social entrepreneur who has helped create companies that today serve the needs of about one third of humanity.
Texas A&M University (NAE member)
Distinguished Talk Title: Security of Cyber-physical Systems
Date: March 1, 2021
The coming decades may see the large-scale deployment of networked cyber–physical systems to address global needs in areas such as energy, water, health care, and transportation. However, as recent events have shown, such systems are vulnerable to cyber attacks. We begin by revisiting classical linear systems theory, developed in more innocent times, from a security-conscious, even paranoid, viewpoint. Then we present a general technique, called "dynamic watermarking," for detecting any sort of malicious activity in networked systems of sensors and actuators. We present a field test on an automobile, an experimental demonstration of this technique on an automobile on a test track, a process control system, a simulation study of defense against an attack on Automatic Gain Control (AGC) in a synthetic power system, and an emulated attack on a solar powered home.
[Joint work with Bharadwaj Satchidanandan, Jaewon Kim, Woo Hyun Ko, Tong Huang, Lantian Shangguan, Kenny Chour, Jorge Ramos, Prasad Enjeti, Le Xie, and Swaminathan Gopalswamy]
P. R. Kumar is a Regents Professor, a University Distinguished Professor, Holder of the O’Donnell Foundation Chair I, and Professor in the Department of Electrical and Computer Engineering at Texas A&M University, and Franklin W. Woeltge Professor Emeritus in the Department of Electrical and Computer Engineering at University of Illinois, Urbana-Champaign. He is an Honorary Professor at IIT Hyderabad. His current focus includes 5G, Wireless Networks, Cybersecurity, Cyber-physical Systems, Privacy, Unmanned Aerial System Traffic Management, Reinforcement Learning, Machine Learning, and Power Systems.
He obtained his B. Tech from the Indian Institute of Technology, Madras in 1973, and M.S. and D.Sc. from Washington University, St. Louis in 1975 and 1977, respectively. He was a faculty member in the Department of Mathematics at the University of Maryland Baltimore County from 1977-84, and a faculty member in the Department of Electrical and Computer Engineering and the Coordinated Science Laboratory at the Univ of Illinois, Urbana-Champaign from 1985-2011. Since 2011 he has been a faculty member in the Department of Electrical and Computer Engineering at Texas A&M University.
He received the IEEE Field Award for Control Systems, the Donald P. Eckman Award of the American Automatic Control Council, the Fred W. Ellersick Prize of the IEEE Communications Society, the Outstanding Contribution Award of ACM SIGMOBILE, the Infocom Achievement Award, the ACM SIGMOBILE Test-of-Time Paper Award, and the COMSNETS Outstanding Contribution Award. He is a Fellow of IEEE and ACM. He was awarded a Doctor Honoris Causa by ETH, Zurich. He is a member of the U.S. National Academy of Engineering, The World Academy of Sciences, the Indian National Academy of Engineering, and The Academy of Medicine, Engineering & Science of Texas. He was awarded a Distinguished Alumnus Award from IIT Madras, the Alumni Achievement Award from Washington University, St. Louis, and the Daniel C. Drucker Eminent Faculty Award from University of Illinois, Urbana-Champaign.
University College Cork, Ireland
Talk Title: Low Power Wide-Area Wireless Internet of Things with LoRa/LoRaWAN
Date: March 8, 2021
Connectivity, in particular wireless connectivity, is a key enabling technology for the Internet of Things. A plethora of technologies exist ranging from short range to long range and low to medium power options. Recently, long range, low power wireless communication technologies have been introduced, for both licensed and unlicensed radio spectrum. Unlicensed spectrum technologies such as LoRa/LoRaWAN have become very popular because of their low cost, open standard and open source software support. However, the current standard has many weaknesses in supporting a vision of dense, wireless IoT device deployment. In this talk we will briefly review long range, low power wireless technologies, review some of the weaknesses of LoRa/LoRaWAN and present a range of advances that address these weaknesses, in particular we will focus on medium access fairness, power efficiency and delay performance for both terrestrial and satellite based IoT applications.
Dr. Dirk Pesch is a Professor of Computer Science in the School of Computer Science and IT at the University College Cork, Ireland where he leads research initiatives in the area of future networks, Internet of Things (IoT) and Cyber-Physical Systems (CPS) with applications to smart and connected communities, energy efficient buildings and sustainable cities, and smart manufacturing. In these areas, his own research interests focus on the study, design and performance evaluation of IoT and CPS and associated communication protocols, system architectures, and their interoperability. Dr. Pesch is the Director of a national doctoral school, the Science Foundation Ireland (SFI) funded Centre for Research Training in Advanced Networks for Sustainable Societies. He is also a Principal Investigator of the SFI funded CONNECT Centre for Future Networks and the CONFIRM Centre for Smart Manufacturing, is an editorial board member of Springer Wireless Networks and MDPI Sensors. He also contributes to international conference organization in his area of expertise including the IEEE World Forum on the Internet of Things, IEEE VTC, IEEE Globecom, IEEE ICC, IEEE WCNC, IEEE WoWMoM, IFIP Networking and other conference and workshops. Prior to joining academia, Dr. Pesch was a design engineer with Nokia in Germany and the UK, developing and implementing communication protocols for a range of cordless telecommunication products. He received a Dipl.Ing. degree from RWTH Aachen University, Germany, and a PhD from the University of Strathclyde, Glasgow, Scotland, both in Electrical and Electronic Engineering.
Talk Title: Fair, Strategic and Trustworthy Socio-Technical Systems
Date: March 15, 2021
Socio-technical systems comprise of people and technical systems (e.g. artificial intelligence, robots, machines) who interact with each other for a gamut of reasons ranging from pursuing tasks (e.g. crowdsourcing) to availing services (e.g. recommendation systems). However, both people and systems distrust each other due to various reasons, ranging from security vulnerabilities, performance uncertainties, misaligned motives, inaccurate mental models and discrimination. In this talk, I will present ongoing work on two such issues: (i) distrust in content moderation platforms, and (ii) algorithmic fairness from the perspective of non-comparative justice. In the first part of the talk, we will discuss the challenges in learning worker’s cognitive atrophy in crowdsourcing based content moderation platforms, and how this may impact the design of strategic task recommendations. I will present a novel, dynamic behavioral model based on discounted satisficing heuristic to characterize worker’s cognitive atrophy in a given day, and also discuss how this model can be estimated and evaluated in both batch and online learning settings. In the latter part of the talk, we will discuss how/why traditional fairness notions are insufficient and how we developed our non-comparative fairness notion to address the gaps in algorithmic fairness literature. We will show that our proposed fairness notion is necessary to achieve other existing fairness notions, and can be potentially used to evaluate biases in both unknown auditors and classifiers.
Dr. Venkata Sriram Siddhardh (Sid) Nadendla is an Assistant Professor in the Department of Computer Science at Missouri University of Science and Technology (in short, Missouri S&T). Prior to joining Missouri S&T in Fall 2018, he worked as a postdoctoral research associate in Coordinated Science Laboratory at University of Illinois at Urbana-Champaign since Oct 2016. He received his PhD degree in Electrical and Computer Engineering from Syracuse University in 2016, his MS degree in Electrical Engineering from Louisiana State University in 2009, and his BE degree in Electronics and Computer Engineering in 2007 from SCSVMV University (India). Sid also worked as a research intern at ANDRO Computational Solutions, LLC, Rome, NY in the summers of 2013 and 2014. His research interests broadly span the fields of trustworthy AI, cyber-physical-human systems, algorithmic game theory, wireless networks and security.
Ulster University, UK
Talk Title: Computation Behaviour Analysis for User-centered Human Machine Systems within Smart Environments
Date: March 29, 2021
The rapid growth and confluence of IoT, data analytics, mobile computing and AI techniques offer huge potentials and opportunities to make revolutionary changes to the way we live, do business, communicate and recreate. Computational behaviour analysis has been viewed as one of the core technologies to enable the emerging human machine systems which can meet the varying needs of different cohorts of users by discovering their ways of performing tasks, thus supporting advanced features, such as adaptation and personalization. In this talk the speaker will characterize human machine systems and its evolution, and examine closely the research issues, methodologies and approaches to computational behaviour analysis in the context of healthcare within smart homes. Following this he will present his recent research describing the latest behaviour modelling and analysis technologies. He will then discuss research challenges and future directions to stimulate new ideas and approaches in this promising research area.
Dr. Liming (Luke) Chen is Professor of Data Analytics, Research Director in the School of Computing at Ulster University, UK. His current research interests include data analytics, pervasive computing, artificial intelligence, user-centred intelligent systems and their applications in smart healthcare. He is an IET Fellow, an IEEE Senior Member and chair of the IEEE CIS “User-centred Smart Systems” Task Force. Luke has over 240 publications in internationally recognised journals, book series and conferences, and has published the monograph “Human Activity Recognition and Behaviour Analysis for Cyber-Physical Systems in Smart Environments” in 2019. He is active in relevant research communities, e.g., serving as chairs for IEEE Smart World Congress 2019, IEEE UIC2017, IEEE HealthCom2017, and an associate editor for IEEE THMS. He has delivered over 30 keynotes, invited talks and seminars at conferences, industrial and academic events.
Talk Title: Intelligence for Cellular Networks
Date: April 5, 2021
Users and applications are placing increasingly stringent demands on cellular networks. Operators for their part are addressing this by rolling out new technologies like 5G and edge computing. These technology investments also allow operators to use advanced analytics, including artificial intelligence, to more efficiently, manage the networks and in turn generate operational and capital savings, while supporting the needs of applications. In this talk, I will present a broad outline of the work going on in our lab in the general space of intelligence for cellular networks, right from planning and design all the way to application traffic management. I will outline some of the challenges with implementing advanced analytics, how we are trying to address them, and where we are in the journey.
Dr. Vijay Gopalakrishnan is a Director in the Network and Service Automation department in AT&T Labs. He leads a team of researchers that are focused broadly on the topics of networked systems, network management and content delivery. Vijay has published widely in top conferences and journals in computer science and has over 50 patents to his name. He earned his PhD and MS in computer science from University of Maryland, College Park in 2006 and 2003, respectively.
University of Michigan
Talk Title: Clustering from Paired Observations
Date: April 12, 2021
Clustering is a fundamental yet notoriously difficult machine learning problem. One approach to overcoming the challenges posed by clustering is to assume access to some sort of side information about the data or clusters. In this talk, I will address the setting where the data come in pairs, meaning observations in the same pair belong to the same (unknown) cluster. Adopting a mixture modeling framework, I will argue that the components of a mixture model can be inferred from paired observations under very weak assumption on the mixture components (clusters). In particular, the clusters may overlap substantially and have nonparametric forms. Applications of the proposed framework will also be discussed.
Dr. Clay Scott received his PhD in Electrical Engineering from Rice University in 2004 and is currently Professor of Electrical Engineering and Computer Science at the University of Michigan. He researches statistical machine learning theory and algorithms, with an emphasis on nonparametric methods for supervised and unsupervised learning. He has also worked on a number of applications stemming from various scientific disciplines, including brain imaging, nuclear threat detection, environmental monitoring, and computational biology. In 2010, he received the Career Award from the National Science Foundation.
Aalborg University, Denmark
Talk Title: Towards Smarter Transportation: Using Trajectory Data for Vehicle Routing
Date: April 19, 2021
Vehicle trajectory data captures detailed information about vehicular transportation. The increasing availability of such data holds the potential to transform vehicle routing profoundly, thus enabling smarter transportation. However, when trajectory data is used, the traditional routing paradigm is inadequate. Instead, new and data-intensive paradigms that thrive on massive trajectory data are called for. The talk covers three such paradigms, including so-called path-based routing, where costs are associated with paths and not just edges; on-the-fly routing, where all weights are not pre-computed, but are computed as needed during routing; and cost-oblivious routing, where no costs are associated with routes, but where historical trajectories are used for routing directly.
Christian S. Jensen is Professor of Computer Science at Aalborg University, Denmark. His research concerns analytics, data management, and data-intensive systems, and its focus is on temporal and spatio-temporal analytics, including machine learning, data mining, and query processing. Christian is an ACM and IEEE Fellow, and he is a member of Academia Europaea, the Royal Danish Academy of Sciences and Letters, and the Danish Academy of Technical Sciences. He has received several national and international awards for his research, most recently the 2019 IEEE TCDE Impact Award. He serves on the board of Villum Fonden, a major funder of technical and natural science research in Denmark; he is President of the steering committee of the Swiss National Research Program on Big Data; and in Germany, he serves on the scientific advisory board the Max Planck Institute for Informatics. He recently finished a 6-year term as Editor-in-Chief of ACM Transactions on Database Systems.
George Mason University
Talk Title: New Results on the Min-Gap Scheduling Problem
Date: April 26, 2021
We consider the problem of scheduling jobs with release times and deadlines on a single processor with preemption allowed. The objective is to minimize the total number of gaps, defined as the maximal duration in which the processor is idle. This problem has been studied on classic computers. An O(n^5) running-time classic algorithms was given in (SODA06, TALG12). For an instance of unit-length jobs, an O(n^4) running-time classic algorithm was given in TALG12 and a 2-approximation classic algorithm with running time O(n^2 log n) and space requirement O(n) was given in (J. of Scheduling 17). In this talk, we study this min-gap problem on both classic and quantum computers for scheduling unit-length jobs and for scheduling arbitrary length jobs. We will discuss known results and some new results on this problem.
Fei Li is currently an associate professor of Computer Science at George Mason University. He got his PhD in Computer Science from Columbia University in 2008. Fei’s research covers the areas of algorithm design and analysis, particularly, scheduling algorithms, online algorithms, combinatorial optimization, and applied algorithms. Recently, he is working on quantum algorithm design and analysis. Fei’s research has been supported by NSF, DARPA, Army Research.
National Science Foundation (NSF)
Distinguished Talk Title:
Date: May 3, 2021
University of Florence
Talk Title: COTS Drone Detection using Video Streaming Characteristics
Date: December 11, 2020
Indian Institute of Technology, Indore
Talk Title: Effective Fire Management in Varied Environments
Date: December 7, 2020
Talk Title: Edge Computing-Supported Mobile Augmented Reality
Date: November 30, 2020
Talk Title: Meaningless Statements in Emergency Mgt Machine Performance
Talk Title: Wireless Extended Reality over 6G Networks: A Tale of Rate and Reliability
Date: November 9, 2020
University of Kentucky
Talk Title: Cyber-Physical-Human Systems: From Human Perception to Computational Problems
Date: November 2, 2020
University of California – Irvine
Talk Title: Enabling Resilient Cyber-Physical-Human Infrastructures
Date: October 26, 2020
Missouri University of Science and Technology
Talk Title: Online Chasing Problems
Date: October 19, 2020
University of Missouri – Columbia
Talk Title: Large-scale Image Retrieval on Everyday Scenes with Common Objects
Date: October 12, 2020
Technical University, Berlin
Talk Title: Networking for Cooperative Automated Driving: From Challenges to Solutions
Date: October 5, 2020
Talk Title: The Federal Funding Landscape: Strategic Proposal Development in Computer Science
Date: September 28, 2020
Dr. Christine Julien | Seminar Speaker
University of Texas at Austin
Talk Title: From Continuous Neighbor Discovery to Contact Tracing: Practical Considerations
Date: September 21, 2020
Dr. Yogesh Simhan | Seminar Speaker
Indian Institute of Science, Bangalore
Talk Title: From Continuous Neighbor Discovery to Contact Tracing: Practical Considerations
Date: September 14, 2020
University of North Texas
Talk Title: Uncertainty Quantification for Network Analysis
Date: August 31, 2020
University of North Texas
Talk Title: From Smart Sensing to Smart Living
Date: August 24, 2020
Instructor: Sajal K. Das (email@example.com)