Home
About
People
Publications
Seminars
- Seminar Calendar
- Seminar Videos
Workshops
HLT Masters
Resources

WS’06 Summer Workshop

June 1, 2006 @ 8:00 AM – August 1, 2006 @ 5:00 PM

General Workshop Information

About the CLSP Summer Workshop
Directions to the Center
Undergraduate Selection Guidelines

Research Groups

Articulatory Feature-based Speech Recognition
Open Source Toolkit for Statistical Machine Translation
WS06 Post Workshop Research

2006 Summer Workshop Program

Closing Day Activities (August 17, 2006)

Subscribe to the CLSP Seminars Mailing List

Upcoming Seminars

There are no upcoming events.

Add

Add to Timely Calendar
Add to Google
Add to Outlook
Add to Apple Calendar
Add to other calendar
Export to XML

Seminar Videos

Slides from lecture: "Evolutionary machine learning in engineering design" by Lukáš Sekanina (BUT).

[slides] Day 4 morning - JSALT Summer School - Sekanina: Evolutionary ML in engineering design

Lukáš Sekanina from Brno University of Technology will present: Evolutionary machine learning in engineering design.
The use of evolutionary algorithms for the automated design of programs, electronic circuits, neural networks, antennas, and other objects has become a fruitful approach in computer science and engineering in the last decade. The reason is that evolutionary approaches can handle the design process in a holistic, multi-objective way and create solutions with unique properties. With the massive development of AI based on machine learning, evolutionary machine learning has been introduced to enrich machine learning methods with evolutionary computing techniques and vice versa. This tutorial surveys the key ingredients of evolutionary design methods, focusing on genetic programming. Examples of evolved solutions (such as approximate arithmetic circuits, neural network architectures, and image filters) that show unique properties compared to conventional designs will be presented and discussed.

Bio: Lukáš Sekanina (Senior Member of IEEE) received all his degrees from the Brno University of Technology, Czech Republic (Ing. in 1999, Ph.D. in 2002), where he is currently a full professor and Head of the Department of Computer Systems. He was awarded the Fulbright scholarship and worked on the evolutionary circuit design with NASA Jet Propulsion Laboratory at Caltech in 2004. He was a visiting lecturer with Pennsylvania State University (2001), Universidad Politécnica de Madrid (2012), and a visiting researcher with the University of Oslo in 2001. He has worked as an associate editor of IEEE Transactions on Evolutionary Computation and an editorial board member of the Genetic Programming and Evolvable Machines Journal. As a PC co-chair, he contributed to organizing conferences such as ICES, EuroGP, DDECS, DTIS, and DATE. He was a principal investigator of eight projects supported by the Czech Science Foundation. Prof. Sekanina co-authored one patent and over 250 research papers, mostly in genetic programming, approximate computing, evolvable hardware, and automated design methods.

[camera] Day 4 morning - JSALT Summer School - Sekanina: Evolutionary ML in engineering design

Michal Hradiš (Brno University of Technology) introduces key tasks in computer vision and provides a high-level overview of neural networks commonly employed to address them, emphasizing model architectures and training methodologies. Special attention will be given to large Transformer-based models and contemporary approaches to their pre-training. Additionally, we will discuss handwritten text recognition systems, exploring parallels and connections with speech recognition techniques.

Bio: Michal Hradiš is a senior researcher at the Faculty of Information Technology, Brno University of Technology, specialising in computer vision and machine learning. He is the principal developer of PERO OCR, a printed and handwritten text recognition system used by libraries and archives. Currently, his team focuses on semantic document understanding, information retrieval and efficient exploration of large databases of historical documents in projects semANT, Smart Digilinka, and Orbis Pictus. He has experience from several computer vision startups and now, he is developing a medical device assisting gastroenterologists during colonoscopies and other procedures.

[camera] Day 3 afternoon - JSALT 2025 - Hradiš: Computer Vision and Handwriting Recognition

Slides from the lecture: Computer Vision and Handwriting Recognition by Michal Hradiš.

[slides] Day 3 afternoon - JSALT 2025 - Hradis: Computer Vision and Handwriting Recognition

Slides from Federico Landini's lecture: "Speaker Diarization: From Modular to End-to-End Systems"

[slides] Day 3 morning - JSALT 2025 - Landini: Speaker Diarization

Load More... Subscribe

Johns Hopkins University, Whiting School of Engineering

Center for Language and Speech Processing
Hackerman 226
3400 North Charles Street, Baltimore, MD 21218-2680

(410) 516-4237
[email protected]

Whiting School of Engineering
Johns Hopkins University

Privacy Statement
Legal

© 2025 Johns Hopkins University

Center for Language and Speech Processing