talk: Human-Like Strategies for Language-Endowed Intelligent Agents, 11am Fri 4/48, UMBC

The UMBC Center for Hybrid Multicore Productivity Research (CHMPR)
is pleased to present as part of our distinguished lecture series

Human-Like Strategies for Language-Endowed Intelligent Agents

Dr. Sergei Nirenburg
Professor of Cognitive Science
Rensselaer Polytechnic Institute

11:00am Friday, 28 April 2017, ITE 325b


Artificial intelligent agents functioning in human-agent teams must correctly interpret perceptual input and make appropriate decisions about their actions. These are arguably the two central problems in computational cognitive modeling. The RPI LEIA Lab builds language-endowed intelligent agents that extract meaning of text and dialog and use the results together with input from other perception modes, a long-term belief repository, rich models of the world and of other agents, and a model of the interaction situation to make decisions about actions. Specific phenomena we currently concentrate on include incrementality, treatment of unexpected input and non-literal language (e.g., metaphor), analysis of agent biases and “mindreading,” and deliberate concept learning. All these studies are characterized by our belief in the ultimate utility of building causal models of agent capabilities that are inspired by human strategies in language processing and decision-making that go beyond analogical reasoning. In this talk I will give an overview of our recent work in the above areas.

Sergei Nirenburg is Professor of Cognitive Science and Computer Science at the Rensselaer Polytechnic Institute. He also serves as Head of the Department of Cognitive Science. He has worked in the areas of cognitive science, artificial intelligence and natural language processing for over 35 years, leading R&D teams of up to 80. Dr. Nirenburg’s professional interests include developing computational models of human cognitive capabilities and implementing them in computer models of societies of human and computer agents, continuing development of the theory of ontological semantics, and the acquisition and management of knowledge about the world and about language. Academic R&D teams under Dr. Nirenburg’s leadership have implemented a variety of proof-of-concept and prototype application systems for cognitive modeling, intelligent tutoring and a variety of NLP tasks (machine translation, question answering, text summarization, information extraction, computational field linguistics, knowledge elicitation and learning). Dr. Nirenburg has written two and edited five books and published over 200 scholarly articles in journals and peer-reviewed conference proceedings.

talk: Resynchronization of circadian neurons, 1pm Fri 4/21

UMBC CSEE Seminar Series

Resynchronization of circadian neurons and the east-west asymmetry of jet-lag recovery

Zhixin Lu
University of Maryland, College Park

1-2pm Friday, 21 April 2017, ITE 231

Cells in the brain’s Suprachiasmatic Nucleus (SCN) are known to regulate circadian rhythms in mammals. We model synchronization of SCN cells using the forced Kuramoto model, which consists of a large population of coupled phase oscillators (modeling individual SCN cells) with heterogeneous intrinsic frequencies and external periodic forcing. Here, the periodic forcing models diurnally varying external inputs such as sunrise, sunset, and alarm clocks. We reduce the dimensionality of the system using the ansatz of Ott and Antonsen and then study the effect of a sudden change of clock phase to simulate cross-time-zone travel. We estimate model parameters from previous biological experiments. By examining the phase space dynamics of the model, we study the mechanism leading to the difference typically experienced in the severity of jet-lag resulting from eastward and westward travel.

Zhixin Lu, PhD Candidate, joined the Nonlinear Dynamics and Chaos Group in the University of Maryland, College Park in 2011, as a Graduate Research Assistant in Dr. Edward Ott’s group. He acquired expertise in nonlinear dynamics and complex systems. Together with the colleagues from UMD, he used methods from nonlinear dynamics theory to investigate the synchronization of circadian neurons, the statistical properties of critical avalanching firing in integrate-and-fire neuron models, as well as dynamical behavior of artificial recurrent neuronal networks. His main research interests are the applications of nonlinear dynamics and the theory of complex networks to biological and artificial neural networks.

Host: Fow-Sen Choa; Organizer: Tulay Adali

About the CSEE Seminar Series: The UMBC Department of Computer Science and Electrical Engineering presents technical talks on current significant research projects of broad interest to the Department and the research community. Each talk is free and open to the public. We welcome your feedback and suggestions for future talks.

talk: Dynamic Causal Modelling of Neuroimaging Time Series and Current Applications in Psychiatric Research

UMBC CSEE Seminar Series

Dynamic Causal Modelling of Neuroimaging (hemodynamic) Time Series and Current Applications in Psychiatric Research

Eugenia Radulescu
The Lieber Institute for Brain Development

1-2pm Friday, 14 April 2017, ITE 231

Abnormal neural processing due to interregional dysconnectivity at brain systems level is widely accepted as a generic mechanism in the etiopathogeny of major psychiatric disorders (i.e., schizophrenia and autism). Dynamic Causal Modeling (DCM) is a modern framework for creating, estimating and comparing generative models of hemodynamic time series, useful for investigating the effective connectivity of neuronal populations. This presentation will discuss the role of DCM in mapping the “ineffective” connectivity between brain regions in mental disorders and it will be structured in three parts: a. An introduction to the theoretical background of DCM applied to task-dependent hemodynamic response during functional MRI; b. Examples of clinical applications of DCM in schizophrenia and autism; c. Challenges and limitations of DCM in psychiatric research, followed by a general question: how can collaborate psychiatrists, computer scientists and engineers in improving and better adapting mathematical models for understanding the biological disturbances in psychiatric conditions.

Eugenia Radulescu, MD, PhD joined the Lieber Institute in 2013, as a Research Fellow in Dr. Weinberger’s group. She earned her MD and PhD at the University of Medicine and Pharmacy “C. Davila” Bucharest, Romania and practiced as a psychiatrist for thirteen years before switching to a career in psychiatric research. In 2003-2009 she was a post-doctoral fellow in Dr. Weinberger’s lab, Clinical Brain Disorders Branch, NIMH/ NIH. There Eugenia acquired expertise in neuroimaging methods- structural and functional MRI. Together with the colleagues from the Neuroimaging Core, she used these methods to investigate the effects of schizophrenia risk genetic variants on well characterized imaging intermediate phenotypes. In 2010-2014 Eugenia was a visiting fellow at Brighton and Sussex Medical School and Sackler Center for Consciousness Science in United Kingdom, where she continued to use MRI for studying brain structural and functional abnormalities associated with neurodevelopmental disorders (i.e. schizophrenia and autism). In the Division of Clinical Sciences at Lieber Institute, she pursues her long standing interest in applying complex fMRI analytical methods to test genetic epistasis effects on brain networks relevant as novel drug targets in neuro-developmental disorders.

Organizer & Host: Tulay Adali

About the CSEE Seminar Series: The UMBC Department of Computer Science and Electrical Engineering presents technical talks on current significant research projects of broad interest to the Department and the research community. Each talk is free and open to the public. We welcome your feedback and suggestions for future talks.

talk: Stepping Away From the Edge of Illness, 4:30p Thr 4/6

CHMPR Distinguished Lecturer Series

Stepping Away From the Edge of Illness

Dr. Ancha Baranova, George Mason University

4:30-5:30pm Thursday, 6 April 2017, UC 310, UMBC
3:30-4:30pm Reception, UC 310

The human body may be afflicted by a multitude of chronic diseases. In principle, any chronic ailment develops along with one or more of the four fundamental pathophysiological processes, namely Insulin Resistance, Systemic Inflammation, Metabolic Deficiency and Tissue/Organ Involution and Degeneration. All of these four fundamental processes are known harbingers of the aging process. Borders between health and disease are blurry, and typical diagnostic cut-offs are arbitrary and in the recent past were subjects for revision. Therefore, neither physicians nor patients should wait until clear signs of crossing the border between health and sickness manifest themselves. To the contrary, they must constantly at all times consciously apply their efforts to ensure the maintenance of proper body homeostasis. By doing so, they can best resist the metabolic derangement which defines an “aged” state. Optimally, for humans to remain healthy throughout inevitable process of aging, biochemical parameters must be monitored longitudinally and balanced with available means. For relatively healthy individuals, these means should be centered on non-pharmacological, predominantly nutritional and nutraceutical approaches. Accordingly, it is reasonably foreseeable that a novel “Health Integrator” profession is anticipated to emerge in order to support the growing need for life-long health maintenance.

Dr. Ancha Baranova is an Associate Professor in School of Systems Biology, George Mason University, Fairfax VA. Dr. Baranova runs both experimental and computational research programs in highly interdisciplinary and collaborative field of Personalized Medicine. She is an expert in systems biology driven analysis of human metabolism, with an emphasis on diseases associated with the process of ageing. She is an author of more than 150 research papers, reviews and opinion pieces in the field of human systems biology.

talk: Quantum plane and plucking polynomial of rooted trees, 1pm 4/7

UMBC CSEE Seminar Series

Quantum plane and plucking polynomial of rooted trees

Józef H. Przytycki
George Washington University

1:00-2:00pm, Friday, 7 April 2017, ITE 231

We describe here a new invariant of rooted trees and following up state sum invariant of pointed graphs. We argue that the invariant is interesting on it own, and that it has connections to knot theory and homological algebra. Another reason that we propose this invariant is that we deal here with an elementary, interesting new mathematics and after the talk everybody can take part in developing the topic, inventing new results and connections to other disciplines of mathematics (and likely statistical mechanics and combinatorial biology). The staring point of the talk is the well known formula for $(x+y)^n$ in the quantum plane ($yx=qxy$).

Józef Henryk Przytycki is a mathematician specializing in the fields of knot theory and topology.  A native of Poland, Przytycki received a Master of Science degree in mathematics from Warsaw University in 1977 and, after emigrating to the United States, a Ph.D. in mathematics from Columbia University, where his advisor was Joan Birman. He is currently a professor of mathematics at George Washington University in Washington, DC. He has supervised nine Ph.D. students and has authored and co-authored many mathematical publications, including more than 100 research papers, 10 conference proceedings and 2 books.

Host: Samuel Lomonaco

Seminar Organizer: Tulay Adali

About the CSEE Seminar Series: The UMBC Department of Computer Science and Electrical Engineering presents technical talks on current significant research projects of broad interest to the Department and the research community. Each talk is free and open to the public. We welcome your feedback and suggestions for future talks.

talk: Making in the Classroom: Rationale, Challenge & Imperative, 3pm April 6, UMBC


Making in the Classroom: the Rationale, the Challenge and the Imperative

Professor Francis Quek
Department of Visualization, Texas A&M University

3:00-4:00pm Thursday, 6 April 2017, ITE 217, UMBC

Computing is increasingly focused in interaction with the physical world rather than just in the abstract virtual world of screens and pixels. Physical computing combines the design of physical electronics with computation to bring about possibilities that simply interacting with pixels behind glass cannot. One manifestation of physical computing in our culture is seen in the Maker movement. Technologies such as 3D printing and open source electronics and accessible computing have combined to give rise to a Maker movement that promises to broaden participation in technology-based innovation and production. The potential of Making to enhance learning, especially in areas of Science, Technology, Engineering and Mathematics (STEM) has led to calls to bring Making into education. However, the characteristics of innovation, discovery, and student-directed learning for which Making is prized is not easily incorporated into public school learning. Making-based learning are thus often provided in clubs, community Makerspaces, and workshops. This poses a severe issue of equity as youth participants are implicitly self-selected through parents who have the knowledge and means to enroll their children at such venues. Taking a human-centered perspective, we present a project where Making is integrated with the formal curriculum of a public elementary school that serves predominantly underrepresented populations. We will examine the rationale for employing Making-based classroom learning and review our strategy for curriculum alignment. We will see how our ‘double scaffolding’ approach supports both learning of STEM curricula and knowledge and skills associated with computing and Making. Beside learning STEM material, our approach seeks to support the development of STEM self-efficacy and self-identities in children who may not otherwise see these possibilities in themselves. We present results of our year-long study that show the promise of our approach.

Professor Francis Quek is a Professor of the Department of Visualization (and by courtesy, Professor of Computer Science and Engineering and Professor of Psychology) at Texas A&M University. He joined Texas A&M University as an interdisciplinary President’s Signature Hire to bridge disparities in STEM. Formerly he has been the Director of the Center for Human-Computer Interaction at Virginia Tech. Francis received both his B.S.E. summa cum laude (1984) and M.S.E. (1984) in electrical engineering from the University of Michigan. He completed his Ph.D. in Computer Science at the same university in 1990. Francis is a member of the IEEE and ACM. He performs research in Making for STEM learning, embodied interaction, embodied learning and sensemaking, multimodal verbal/non-verbal interaction, multimodal meeting analysis, interfaces to support learning, vision-based interaction, multimedia databases, medical imaging, assistive technology for the blind, human computer interaction, computer vision, and computer graphics. He leads several multiple-disciplinary research efforts to understand the communicative realities of multimodal interaction.

talk: Hacking, Security, and Technology In Public Consciousness: The Effects of Myth, 1pm 3/31

Hackers is a 1995 American film that follows a group of high school hackers and their involvement in a corporate extortion conspiracy.
An image from Hackers, a 1995 film that followed a group of high school hackers and their involvement in a corporate extortion conspiracy


UMBC CSEE Seminar Series

Hacking, Security and Technology In Public Consciousness:
The Effects of Myth

Dr. Richard Forno

Assistant Director, UMBC Center for Cybersecurity
Director, UMBC Cybersecurity Graduate Program

1-2pm, Friday, 31 March 2017, ITE 231

Public portrayals of the digital landscape, particularly through the entertainment mass media and product marketing, can have a profound influence on how the general public perceives the strengths and limitations of technology. Over time, these images, stereotypes and dramatized capabilities are replicated across texts and repeated until, rightly or wrongly, they become the default paradigm for mass understanding of the complex and ever-changing modern technological environment.

For example, one only needs to observe legislative bodies or watch mainstream news media trying to come to understand issues such as encryption, cybersecurity, or even pluralistic applications of the term “to hack” to see just how deeply the stereotype of the god-like yet overweight and socially maladjusted (often male) ‘hacker’ have penetrated popular perceptions. Metaphors like this that act as a useful shorthand in fictional storytelling do not make a good reference basis for policy statements or national decision-making — however, when such sensationalized and/or fictional depictions overshadow more sophisticated or nuanced descriptions of those capabilities in actual practice, it is understandable why unrealistic expectations and unworkable proposals for technology – like “good-guys only” encryption backdoors – continue being proposed.

Drawing on examples from the media and politics, this presentation explores the connections between decades-old media tropes around technology/technologists and current technology debates, especially those related to cybersecurity and cyberwarfare. This interpretively analyzed presentation argues that perception is just as important as performance in terms of outcomes and acknowledges that the models used by mass society, including policy makers, to understand early digital innovations are part of a wider set of mass cultural messages have served a purpose — but now need to be either dispelled or updated. Addressing the assumptions and inaccuracies of these shared media-fueled perceptions of the emerging digital society is an important part of understanding and then working to overcome conflicts between technology and policy.

(This presentation, and its related paper, are part of ongoing research collaborations between Dr. Forno (security) at UMBC and Dr. Erika Pearson (media/comms) of Massey University in Wellington, NZ)


Dr. Richard Forno is a Senior Lecturer in the UMBC Department of Computer Science and Electrical Engineering, where he directs the UMBC Graduate Cybersecurity Program and serves as the Assistant Director of UMBC’s Center for Cybersecurity. His twenty-year career spans the government, military, and private sector, including helping to build the first formal cybersecurity program for the U.S. House of Representatives, serving as the first Chief Security Officer for Network Solutions (operator of the InterNIC), and co-founding the CyberMaryland conference. Dr. Forno was also one of the early thought leaders on the subject of “information warfare” and he remains a longtime commentator on the influence of Internet technology upon society.

Organizer: Tulay Adali, Host: Alan Sherman

About the CSEE Seminar Series: The UMBC Department of Computer Science and Electrical Engineering presents technical talks on current significant research projects of broad interest to the Department and the research community. Each talk is free and open to the public. We welcome your feedback and suggestions for future talks.

talk: Phase synchrony in heart-brain interactions predicts personality and emotions, 1pm 3/17

UMBC CSEE Seminar Series

Phase synchrony in heart-brain interactions predicts personality and emotions

Ehsan Shokri Kojori
NIH, National Institute on Alcoloh Abuse and Alcoholism

1:00-2:00pm Friday, 17 March 2017, ITE 231

Despite the historical interest in the link between brain and heart, it is unknown whether brain and heart interactions provide meaningful information about emotions and personality. Here we studied the phase and amplitude of coherence between cardiac pulse and resting state fMRI signals in 203 subjects. We show low-frequency (LF, < 0.1 Hz) components of the resting-state networks (RSN) share significant content with corresponding components in physiological recordings. We found LF cardiovascular components precede those in RSNs, and LF respiratory components follow those in RSNs. Phase dispersion (in LF) between cardiac (but not respiratory) and RSN signals predicted a main positivity-negativity dimension of personality (r = 0.31, p < 0.0001) and emotions (r = 0.24, p = 0.001). Specifically, higher phase dispersion between cardiac and brain RSNs predicted higher tendency toward negative inclinations. In summary, these results provide evidence that brain-wide sensitivity to cardiovascular signaling predicts a main dimension of personality and emotions. Finally, our analysis of phase dispersion may have diagnostic value in specific neuropsychiatric disorders.

Dr. Ehsan Shokri Kojori joined the Laboratory of Neuroimaging at the NIH National Institute on Alcohol Abuse and Alcoholism
 as a postdoctoral IRTA fellow in August 2014 and became a Research Fellow in May 2016. He earned a PhD degree in cognitive neuroscience from the University of Texas at Dallas in Spring 2014. Ehsan also has a background in electrical engineering and signal processing. His interests include combining brain imaging modalities (e.g., fMRI, DTI, and PET) and behavioral measurements to understand the neurocognitive underpinnings of goal directed behavior. His current work involves studying how addiction and alcohol abuse affect efficiency and energetic cost of the brain networks. He is also working on developing novel methodologies to better characterize anatomical and functional brain connectivity indices.

IBM’s Arvind Krishna, Accelerating Technology Disruption: the Cognitive Revolution, 1pm Fri 2/24, UMBC

CSEE Department Distinguished Seminar

Accelerating Technology Disruption: The Cognitive Revolution

Dr. Arvind Krishna
Senior Vice President, Hybrid Cloud and Director, IBM Research

1:00-2:00pm, Friday, 24 February 2017, PAHB 132

Digital disruption is changing the world around us, breaking down traditional barriers to market entry, creating new business models, and leading to new solutions to global challenges. Dr. Arvind Krishna will examine some of the core emerging technologies driving this phenomenon today, with an emphasis on artificial intelligence/cognitive computing. He will also share his perspectives on what it takes to build a successful, high-impact technical career in an era of disruptive innovation.

Arvind Krishna is senior vice president, Hybrid Cloud, and director of IBM Research. In this role, he leads the company’s hybrid cloud business, including strategy, product design, offering development, marketing, sales and service. He also helps guide IBM’s overall technical strategy in core and emerging technologies including cognitive computing, quantum computing, cloud platform services, data-driven solutions and blockchain. Previously, Arvind was general manager of IBM Systems and Technology Group’s development and manufacturing organization, responsible for developing and engineering everything from advanced semiconductor materials to leading-edge microprocessors, servers and storage systems.

Earlier in his career, he was general manager of IBM Information Management, which included database, information integration and big data software solutions. Prior to that, he was vice president of strategy for IBM Software. He has held several key technical roles in IBM Software and IBM Research, where he pioneered IBM’s security software business. Arvind has an undergraduate degree from the Indian Institute of Technology, Kanpur and a Ph.D. from the University of Illinois at Urbana-Champaign. He is the recipient of a distinguished alumni award from the University of Illinois, is the co-author of 15 patents, has been the editor of IEEE and ACM journals, and has published extensively in technical conferences and journals.

talk: Securing Networks by Detecting Logical Flaws in Protocol Implementations

Securing Networks by Detecting Logical Flaws in Protocol Implementations

Dr. Endadul Hoque
Postdoctoral Research Associate, Northeastern University

12:00pm Wednesday, 22 February 2017, ITE 325b, UMBC

Implementations of network protocols are integral components of various networked computing systems, spanning from Internet-of-Things (IoT) to enormous data centers. Research efforts to defend these implementations by introducing new designs for security and advocating best practices in secure programming are not always feasible, nor effective. Even rigorous analysis of the design of a protocol is not sufficient, as indicated by the frequent reports of bugs discovered in protocol implementations after deployment. Hence, it is crucial to develop automated techniques and tools to help programmers detect logical flaws in actual implementations of protocols.

In this talk, I will first present an automated compliance checker to analyze operational behavior of a protocol implementation for detecting semantic bugs, which cause the implementation fail to comply with its specifications. Next, I will present an automated testing tool to analyze robustness of a protocol implementation against malicious attacks mounted to degrade its runtime performance (e.g., throughput). Finally, I will conclude with several directions for future research to aid the development of secure networked systems.

Endadul Hoque is a Postdoctoral Research Associate in the College of Computer and Information Science at Northeastern University. He received his PhD in Computer Science from Purdue University in 2015. His research revolves around practical cybersecurity problems in the networking domain. His current research focuses on leveraging program analysis and formal verification techniques to create automated analysis tools for ensuring secure and reliable operations of networked systems. During his PhD, he received the Graduate Teaching Fellowship award in 2014 and the Bilsland Dissertation Fellowship award in 2015. His research on automated adversarial testing has also been integrated into course curriculum at Purdue University for teaching secure distributed systems programming.

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