Colloquium

September 9th: Jack Forden & Sam Mazzone - Paced to Perfection: The Impact of Automated Assessment Rewards for Attending Office Hours & The A/I Grading Question: Are LLMs Ready to Grade My Homework?

September 23rd: Nidhi Nellore - Unveiling User Perspectives: Exploring Themes in Femtech Mobile App Reviews for Enhanced Usability and Privacy

September 30th: Karol Lejmbach -  Embedding Blockchain Concepts into Common Computer Science Courses

October 21st: Saba Heidari - Adversary-Robust Graph-Based Learning of WSIs

November 11th: Dr. Qi Li [online] - Data-Driven Cyber-Physical Energy Systems

January 30th: Jessica Vitak - In person at AMU

Febuary 13th: Min Xian

Febuary 27th: Yusuf Aytar

March 20th: Daniel Brown

March 27th: Konstantinos Kolias

September 19th: Baig Furqan - High Performance Distributed Spatial & Spatio-Temporal Processing

September 28th: Jia Yu - Apache Sedona: A Cluster Computing System for Processing Big Geospatial Data

October 10th: Himanshu Thapliyal

November 14th: Amy Pavel

January 31: Jie Gao - "MAC Protocol Design for IoT Applications "

February 14: Sazzadur Rahaman -Compliance Gap Triangle: Navigating through the impediments to improve industry-wide baseline security

February 14: Sazzadur Rahaman -Compliance Gap Triangle: Navigating through the impediments to improve industry-wide baseline security

February 21: Xiaonan Zhang

March 7: Mike Gowanlock -Parallel Similarity Searches on Hybrid CPU/GPU Architectures

April 25: Dr. Forrest Sheng Bao 

September 20: Mubashwir Alam  "Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications "

September 27 : Jia Chen   "Representation learning of multiview data"

October 15: Dr. Josiah Dykstra - TBA

October 25: Dr. David Mohaisen- Partitioning Blockchains Efficiently: Attacks and Defenses

November 8: Dr. Zeyun Yu- TBA

November 22: Dr. Yanshan Wang - Natural Language Processing for Clinical Excellence: The State of Practices, Opportunities, and Challenges

Febuary 15: Dr. Nazanin Andalibi  "Towards Accounting for the Human in Emotion Recognition/AI Technologies "

March 1: Dr. Erik Kroh   "Protecting Art Galleries"

March 29: Dr. Mohammad Islam "Securing Warehouse-Scale Computers"

April 5: Dr. Vincent Bindschaedler - TBA

April 12: John Bukowy -TBA

April 19: Michael Slattery - TBA

September 14: Dr. Jacob Thebault-Spieker (University of Wisconsin-Madison)

January 14: Dr. Maia Jacobs (Center for Research on Computation and Society, Harvard) "One Size Doesn’t Fit Anyone: Tailoring Digital Tools for Personal Health Journeys"

January 15: Saeed Tizpaz Niari (CS Department, CU Boulder) "Differential Debugging for Side Channel Vulnerabilities"

January 16: Dr. Kevin Moran (Computer Science, William & Mary) "Toward Practical Automation for Software Engineering"

January 21: Hao Wang (PhD candidate, University of Toronto) "Optimizing Distributed Machine Learning with Reinforcement Learning"

January 24: Xiaowei Jia (PhD candidate, University of Minnesota). "Physics Guided Machine Learning: A New Paradigm for Scientific Knowledge Discovery"

January 28: Sabirat Rubya (PhD candidate, Computer Science & Engineering Department at University of Minnesota) "Facilitating access to peer support through technology for recovery from substance use disorders"

April 27: Dr. Serdar Bozdag (Marquette University) "Integrating high-dimensional biological datasets to uncover disease-associated genes and gene networks"

April 28: Dr. Praveen Madiraju (Marquette University) "Predicting Post-traumatic Stress Disorder Risk in Veterans"

April 29: Dr. Keke Chen (Wright State University) "Mining Social Signals to Enhance Privacy Protection and Wisdom of Crowds"

April 30: Dr. Bill Chen (AIWAYS AUTO) "Deep Learning for Big Data"

September 9 - Mike Slattery, Department of Computer Science, Marquette University, "Quantum Computing for Beginners, or, How I Spent My Summer Part I"

September 16 - Mike Slattery, Department of Computer Science, Marquette University. "Quantum Computing for Beginners, or, How I Spent My Summer Part II"

October 7 - Arjun Krishnan, Department of Computational Mathematics, Science and Engineering, Michigan State University, "Hurdles in the marathon of data-driven biology"

October 11 - Blair Taylor, Department of Computer and Information Sciences, Towson University

October 14 - Stevie Chancellor, Department of Computer Science, Northwestern University. "Human-Centered Machine Learning for High-Risk Health Behaviors"

October 21 - Marina Kogan, School of Computing, University of Utah, "Human-Centered Data Science for Crisis Informatics"                  

October 30 - Sameer Patil, School of Informatics, Computing and Engineering, Indiana University, Bloomington, “Mental Models and User Experiences of the Tor Browser”

November 4 - Bilge Mutlu, Department of Computer Sciences, University of Wisconsin Madison, “Designing Robots for Human Interaction”

November 18 - Elena Zheleva, Department of Computer Science, University of Illinois, Chicago, “Causal inference and counterfactual learning from relational data”

November 25 - Mustafa Bilgic, Department of Computer Science, Illinois Institute of Technology, “Active and Interpretable Classification.”

Colloquium dates and speakers for Spring 2019 - Unless specified, the talks will begin at 2:00pm CT in Room 401 at Cudahy Hall.

• January 16th at 1:00 - Xanda Schofield, Department of Computer Science, Cornell University, Preserving Privacy in Statistical Models of Text.
• January 22nd at 1:00 - Natalia Khuri, Department of Bioengineering, Stanford University, Translational Bioinformatics: How data science and machine learning are linking the molecular world to the clinical world.
• January 25th at 1:00 - Mark Albert, Department of Computer Science, Loyola University Chicago, Healthcare wearables and computational neuroscience: applications of machine learning.
• January 31st at 1:00 - Xuetao Wei, School of Information Technology, University of Cincinnati, Follow the Information: Illuminating Emerging Security Attacks and Applications.
• February 5th at 1:00 - David Koop, Computer and Information Science Department, University of Massachusetts - Dartmouth, Supporting Reproducible Exploratory Data Analysis.
• February 28th at 2:00 - Mahmoud Zarepour, Mathematical and Statistics Department, University of Ottawa, New Development in Nonparametric Bayesian Inference.
• March 7th at 2:00 - TBD
• March 21st at 2:00 - Benjamin Risk, Rollins School of Public Health, Emory University
• March 28th at 2:00 - TBD
• April 4th at 2:00 - TBD
• April 11th at 2:00 - TBD
• April 25th at 2:00 - Sedigheh Mirzaei Salehabadi, Biostatistics Department, St Jude Children's Research Hospital, Memphis
• May 2nd at 2:00 - Han Liu, Department of Electrical Engineering and Computer Science, Northwestern University

• September 21st at 2:00 - Michael Zimmer, School of Information Studies, University of Wisconsin - Milwaukee, Pervasive Data Ethics for Computational Research
• October 5th at 2:00 - Jenna Tague, Department of Mathematics, Fresno State University, Where Do Rate of Change Understandings Begin?
• October 11th at 2:00 - Daniel Gervini, Department of Mathematical Sciences, University of Wisconsin - Milwaukee, Functional Data Methods for Replicated Point Processes
• October 26th at 2:00 - Debaleena Chattopadhyay, Department of Computer Science, University of Illinois - Chicago, Designing Beyond the Desktop Technologies for Older Adults
• November 9th at 2:00 - Noah Schweber, Department of Mathematics, University of Wisconsin - Madison, Cardinal Characteristics and Computability
• November 16th at 2:00 - Banabithi Bose, Md Kamrul Hasan and Xuyong Yu, Department of Mathematics, Statistics, and Computer Science, Marquette University, miRNAdriver: Copy Number Derived microRNA-Gene Interactions in Cancer, Develop a Novel Feature Extraction Techniques for the Fingertip Videos and Apply Artificial Neural Network to Build Hemoglobin Prediction Model and A Kolmogorov-Smirnov Based Test using FFT to Evaluate Electrode-tissue Contact Force.
• November 30th at 2:00 - Yichao Wu, Department of Mathematics, Statistics, and Computer Science, University of Illinois - Chicago, Nonparametric estimation of multivariate mixtures
• December 7th at 2:00 - Andrew Brown, Department of Mathematical Sciences, Clemson University, Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging
• December 12th at 12:00 - Ziynet Kesimoglu and Md Manzur R. Farazi, Department of Mathematics, Statistics, and Computer Science, Marquette University, Cancer Subtype Prediction Methodology and Machine Learning Techniques of Analyzing Spectroscopy Data for Age Estimation of Anopheles Arabiensis Mosquito

• January 19th at 1:00 - Ahmad Kawam (Special Colloquium), Department of Electrical & Computer Engineering, Texas A&M University, Moving Towards the Next Generation of Healthcare Applications
• January 22nd at 1:00 - Pamela Harris (Special Colloquium), Department of Mathematical and Statistics, Williams College, Invisible Lattice Points
• January 26th at 1:00 - Philippe Giabbanelli (Special Colloquium), Department of Computer Science, Northern Illinois University, Mining and predicting complex human systems at scale
• January 29th at 1:00 - Giovanni Ciampaglia (Special Colloquium) School of Informatics and Computing, Indiana University, Threats to the information ecosystem
• February 2 at 1:00 - Ping Zhang (Special Colloquium), Center for Computational Health, IBM T.J. Watson Research Center, Predictive Modeling of Drug Effects: Learning from Biomedical Knowledge and Clinical Records
• February 5 at 1:00 - Michael DiPasquale (Special Colloquium), Department of Mathematics, Oklahoma State University, Piecewise Polynomials and Commutative Algebra
• February 12 at 1:00 - Jay Pantone (Special Colloquium), Department of Mathematics, Dartmouth College, Sorting Permutations with C-Machines
• February 15 at 2:00 - Daniel Rowe, Department of Mathematics, Statistics, and Computer Science, Marquette University, BiLinear, Bicubic and In Between Spline Interpolation
• March 8 at 2:00 - Yunied Puig de Dios, Department of Mathematics, University of California - Riverside, A mixing operator T for which (T, T² ) is not disjoint transitive
• March 22 at 2:00 - Stefano Lonardi, Department of Computer Science & Engineering, University of California - Riverside, Improving contiguity and correctness of de novo genome assembly via optical map
• April 5 at 2:00 - Amit Apte, International Centre for Theoretical Sciences, Tata Institute of Fundamental Research, Data assimilation for high dimensional systems: role of unstable subspace
• April 12 at 2:00 - Wim Ruitenburg, Department of Mathematics, Statistics, and Computer Science, Marquette University, The 2017 Putnam Mathematical Competition
• April 27 at 2:00 - Jody R. Westby, School of Computer Science, Georgia Tech and CEO of Global Cyber Risk LLC, Ethics of Big Data

• October 5th at 3:30 - Md. Kamrul Hasan & Md Fitrat Hossain, MSSC Department, Marquette University, Smartphone-based Hemoglobin Level Measurement Using Chromatic Analysis of Fingertip Videos on Different Color Spaces and Exploration of a Data Science Methodology to Predict High Risk Behavior for Veterans
• October 12th at 3:30 - Dr. Robert Barry, Martinos Center for Biomedical Imaging, Harvard University, Neuroimaging of Brain and Spinal Cord at Ultra-High Magnetic Fields
• October 20th at 1:00 - Dr. Hiroyuki Sato (Special Colloquium), Information Technology Center, University of Tokyo, Higher Dimension Topological data analysis: Exploration into Flexible Applications to Real Scenarios
• October 26th at 3:30 - Md. Manzur Farazi & Jiblal Upadhya, MSSC Department, Marquette University, The False Discovery and False Non-Discovery Rate in Correlated Tests and Spatio-temporal modeling of small patches/region of Greenland Ice-sheet(GrIS)
• November 9th at 3:30 - Dr. Brooke Magnus, Psychology Department, Marquette University, Modeling Questionnaire Data when the Responses are Counts
• November 16th at 3:30 - Dr. Andrew D. Hahn, Department of Medical Physics, University of Wisconsin - Madison, Applications in MRI of Pulmonary Structure and Function
• November 30th at 3:30 - Dr. Elaine Spiller, MSSC Department, Marquette University, Short-term probabilistic hazard mapping — forecasting catastrophe without stationary assumptions
• December 7th at 3:30 - Duc Do & Emily White, MSSC Department, Marquette University, Identification of functional MiRNA-Transcription factor-Target gene modules in cancer and Modeling Protein Aggregation Concentration in Saccharomyces cerevisiae

• January 26th at 3:30 - Dr. Ryan Croke, Chefsteps, Mathematics: It's What's for Diner
• February 2nd at 3:30 - Dr. Wim Ruitenburg, MSSC, Marquette University, We and the 2016 Putnam Math Competition
• February 9th at 3:30 - Pete Sparks, MSSC, Marquette University, The Double n-Space Property for Contractible n-Manifolds
• February 23rd at 3:30 - Dr. Dennis Brylow, MSSC, Marquette University, Priming the CS Pump: Structure of a State-Wide Push for K-12 Computer Science Education
• March 3rd at 1:00 - Dr. Lori Ziegelmeier, MSSC, Macalester College, Measuring the Shape of Data with Topology
• March 9th at 3:30 - Dr. Sarah Hamilton, MSSC, Marquette University, Improving Image Quality for Practical Electrical Impedance Tomography Imaging with Direct D-bar Methods
• March 20th at 1:00- Dr. Paul Bankston, Emeritus MSSC, Marquette University, The hunting of the pseudo-arc
• March 23rd at 3:30 - Dr. John Kornak, Department of Epidemiology & Biostatistics, University of California - San Francisco, Bayesian image analysis in Fourier space
• March 30th at 3:30 - Dr. Moo K. Chung, Department of Biostatistics and Medical Informatics, UW-Madison, From computational Neuroanatomy to Computational Topology
• April 6th at 3:30 - Dr. Mariya Soskova, Department of Mathematical Logic and Applications, UW-Madison, Logic and Degrees
• April 20th at 3:30 - Dr. Benjamin Black, Department of Earth & Atmospheric Science, City University of New York, To see a world in a grain of ash:bridging >10 orders of magnitude in space and time to understand the consequences of volcanism
• April 28th at 1:30 - Dr. Erikki Somersalo, Department of Mathematics, Applied Mathematical and Statistics, Case Western Reserve University