Colloquium

Colloquium talks will be held in the Katharine Reed Cudahy Building on the ÌÇÐÄviog¹Ù·½ÍøÕ¾ campus. Unless specified, the talks will begin at 4:00pm in CU 414. Please address inquiries/suggestions to Dr. Kanchan Chowdhury. 


October 2nd at 4:00pm Virtual via Teams 

Designing Human-AI Systems for Learning and Accessibility

Dr. Sameena Hossain


October 28th at 1:00pm 

Happier, Smoother, and Misrepresented: What Language Models Change When They Rewrite Human Text

Dr. Larry Zhiming XU


November 4th at 1:00pm Virtual via Teams 

Challenges in Trustworthy and Efficient Edge Intelligence across the Generative AI Lifecycle

Dr. Adnan Soraj Rakin

 

Spring 2026

January 28th: Paramita Basak Upama - Advancement towards early diagnosis and prediction of chronic disease with quantum machine learning (QML)

February 4th: Dr. Mehdi Maadooliat - Forecasting Functional Time Series with Rfssa: An R Package for Functional Singular Spectrum Analysis

February 25th: Prof. Jake Luo - Patient Fall Risk Prediction Using Explainable AI

March 25th: Caiyue Chen - Keyword Inference from Ambient Speech Through Inertial Measurement Units

April 8th: Dr. Vamsi Meduri - Beyond Indexes for Lakehouse Systems: Bridging the Semantic Gap in RAG via Schema-Graphs and Optimized Physical Layouts

April 29th: Dr. Peter LaViolette - Radio-pathomic mapping of prostate and brain cancer

Fall 2025

September 10th: Dibaloke Chanda - A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid

September 24th: Sajjad Islam - LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs

October 8th: Dr. Priya Deshpade - Semantic Interoperability in Biomedical Informatics: From Data Silos to Discovery

October 29th: Dr. Ankit Agrawal - Scenario-Driven Validation of Small Uncrewed Aerial Systems Under Spatio-Temporal Uncertainty

November 12th: Dr. Sherri Weil-Harms -  Quantifying Implicit User Sentiment Using Large Language Models: Efficient Analysis of Product Satisfaction from Qualitative Data*

December 3rd: Su Wang - I Still See You: Understanding and Defending Against Privacy Leakage in IoT Systems

Spring 2025

January 22nd: Lecheng Zhang - Heterogenous Machine Learning: Characterization, Generation and Comprehension

January 24th: Dr. Kanchan Chowdury - Location-Aware Data Management and Machine Learning for Spatiotemporal Vector and Raster Datasets

January 29th: Shengting Cao - Intelligent Treadmill Control and Holographic Rendering for Accessible Rehabilitation

January 31st: Neil Perry - Cryptography and Security in a World at Risk

March 24th: Milan Aryal - Graph-based and text-guided learning algorithms for digital pathology

April 14th: Dr. David Plonka - Watching the Watchers: Nonce-based Inverse Surveillance to Remotely Detect Monitoring

Fall 2024

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

Spring 2023

January 30th: Jessica Vitak - In person at AMU

Febuary 13th: Min Xian

Febuary 27th: Yusuf Aytar

March 20th: Daniel Brown

March 27th: Konstantinos Kolias

 

Fall 2022

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

 

Spring 2022

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 

 

Fall 2021

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

Spring 2021

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

Fall 2020

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

Title: Understanding and Mitigating Biases in Social Computing Systems
 

September 21: Dr. Alexandra Papoutsaki (Pomona College)
Title: Eye tracking tools for research on individuals and teams
 

October 5: Priyanka Annapureddy (ÌÇÐÄviog¹Ù·½ÍøÕ¾)
Title: Predicting PTSD Severity in Veterans from Self- reports for Early Intervention A Machine Learning Approach
Title: Predicting Opioid Overdose Readmission and Opioid Use Disorder with Machine Learning
 

October 19: Dr. Rohit Kate (University of Wisconsin-Milwaukee)
Title: Automatic Full Conversion of Clinical Terms into SNOMED CT Concepts
 

October 26: Dr. Garvesh Raskutti (University of Wisconsin-Madison)
Title: High-dimensional tensor modeling through importance sketching
 
 

November 9: Dr. Christine Cheng (University of Wisconsin-Milwaukee)
Title: Stable Matchings with Restricted Preferences
 

November 23: Dr. Dong Hye Ye (ÌÇÐÄviog¹Ù·½ÍøÕ¾)
Title: Machine Learning for Image Processing

Spring 2020

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 (ÌÇÐÄviog¹Ù·½ÍøÕ¾) "Integrating high-dimensional biological datasets to uncover disease-associated genes and gene networks"

 

April 28: Dr. Praveen Madiraju (ÌÇÐÄviog¹Ù·½ÍøÕ¾) "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"

Fall 2019

September 9 - Mike Slattery, Department of Computer Science, ÌÇÐÄviog¹Ù·½ÍøÕ¾, "Quantum Computing for Beginners, or, How I Spent My Summer Part I"

September 16 - Mike Slattery, Department of Computer Science, ÌÇÐÄviog¹Ù·½ÍøÕ¾. "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.�

 

Spring 2019

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

Fall 2018

  • 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, ÌÇÐÄviog¹Ù·½ÍøÕ¾, 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, ÌÇÐÄviog¹Ù·½ÍøÕ¾, Cancer Subtype Prediction Methodology and Machine Learning Techniques of Analyzing Spectroscopy Data for Age Estimation of Anopheles Arabiensis Mosquito

Spring 2018

  • 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, ÌÇÐÄviog¹Ù·½ÍøÕ¾, 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, ÌÇÐÄviog¹Ù·½ÍøÕ¾, 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

Fall 2017

  • October 5th at 3:30 - Md. Kamrul Hasan & Md Fitrat Hossain, MSSC Department, ÌÇÐÄviog¹Ù·½ÍøÕ¾, 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, ÌÇÐÄviog¹Ù·½ÍøÕ¾, 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, ÌÇÐÄviog¹Ù·½ÍøÕ¾, 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, ÌÇÐÄviog¹Ù·½ÍøÕ¾, Short-term probabilistic hazard mapping â€” forecasting catastrophe without stationary assumptions
  • December 7th at 3:30 - Duc Do & Emily White, MSSC Department, ÌÇÐÄviog¹Ù·½ÍøÕ¾, Identification of functional MiRNA-Transcription factor-Target gene modules in cancer and Modeling Protein Aggregation Concentration in Saccharomyces cerevisiae

Spring 2017

  • 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, ÌÇÐÄviog¹Ù·½ÍøÕ¾, We and the 2016 Putnam Math Competition
  • February 9th at 3:30 - Pete Sparks, MSSC, ÌÇÐÄviog¹Ù·½ÍøÕ¾, The Double n-Space Property for Contractible n-Manifolds
  • February 23rd at 3:30 - Dr. Dennis Brylow, MSSC, ÌÇÐÄviog¹Ù·½ÍøÕ¾, 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, ÌÇÐÄviog¹Ù·½ÍøÕ¾, Improving Image Quality for Practical Electrical Impedance Tomography Imaging with Direct D-bar Methods
  • March 20th at 1:00- Dr. Paul Bankston, Emeritus MSSC, ÌÇÐÄviog¹Ù·½ÍøÕ¾, 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