k The Institute for Signal and Information Processing - Feature of the Day

Feature of the Day

This page contains an archive of announcements that have appeared on the ISIP Home Page.

2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012

  • (20191216) Congratulations to Meysam Golmohammadi on a successful presentation of his PhD dissertation proposal. Meysam's research focuses on integration of temporal and spatial context into deep learning systems. More details can be found here.

  • (20191210) Congratulations to Nabila Shawki for completing her PhD preliminary exam. She presented very interesting work on the use of autoencoders for feature extraction. We look forward to seeing her complete a dissertation on this topic in a couple of years.

  • (20191215) It is never too early to start planning for IEEE SPMB 2020. The paper submission deadline is June 1, 2020. More information can be found here. IEEE SPMB 2020 will be the 10th year of the symposium. Several special events are planned to commemorate a decade of wonderful experiences.

  • (20191207) IEEE SPMB 2019 was the 9th year for the conference and the 6th year we hosted it at Temple University. 18 papers and 11 posters were presented with an attendance of 62 people. The technical program can be found here.

  • (20191106) IEEE SPMB 2019 is taking place tomorrow at Temple University! Hope to see you there.

  • (20191104) IEEE SPMB 2019 is quickly approaching! Please remember to register to be able to attend SPMB on December 7.

  • (20191025) The TUH EEG Corpus: Annotation File Formats: We have released an official document containing information regarding how the annotations are represented in label files.

  • (20190714) Our paper On the Use of Non-Experts for Generation of High-Quality Annotations of Seizure Events has been submitted for publication and is now available.

  • (20190510) The semester is finally over! The ISIP group had our annual end of the academic year party.

  • (20190509) Congratulations to Noah Capp and the class of 2019 on their graduation! We wish the best of luck to them.

  • (20190329) Our ECE 1111 students challenged the upper-level ECE 3822 students in an advanced programming competition and came out on top. Fortunately, the ECE 3822 students were not Bamboozled!. Congratulations to all the students for participating in a four-hour Hackathon based on HackerRank problems.

  • (20190323) NEDC TUH EEG Seizure (v1.5.0): This release includes the expansion of the training dataset from 1,984 files to 4,597. Calibration sequences of the new data have been manually annotated and added to the seizure spreadsheet. Annotation corrections were made to the files already existing in the training set.

  • (20190308) IBM TUSZ Pre-Processed Data (v1.0.0): This is our first release of IBMPPD which preprocesses the TUH Seizure Detection Corpus using two methods, both of which use an FFT sliding window approach (STFT) in the beginning.

  • (20181217) Meysam Golmohammadi attended the International Conference on Machine Learning and Applications (ICMLA) and presented his paper on Deep Architectures for Spatio-Temporal Modeling.

  • (20181206) NEDC TUH EEG Artifact Corpus (v1.0.0): This is our first release of the TUH EEG Artifact Corpus. This corpus was developed to aid in EEG event classification such as seizure detection algorithms. This corpus is a subset of the TUH EEG Corpus and contains files with 5 different types of artifacts: (1) eye movements (EYEM), (2) chewing (CHEW), (3) shivering (SHIV), (4) electrode pop, electrode static, and lead artifacts (ELPP), and (5) muscle artifacts (MUSC).

  • (20181201) Congratulations to our team for hosting IEEE SPMB 2018. We had a lot of wonderful papers and posters presented, as well as two excellent plenary talks. The technical program can be found here.

  • (20181113) The Neural Engineering Data Consortium gave a presentation at the John Hopkins University HLT CoE on EEG Event Classification Using Deep Learning.

  • (20181102) NEDC Eval EEG (v1.3.0): In this release, the FPR definition of the TAES metric has been updated to the standard definition which is #FP / (#FP + #TN) or in other words (1 - TNR).

  • (20181025) The Temple University Hospital Seizure Detection Corpus manuscript has been approved for production and accepted for publication in Frontiers in Neuroinformatics.

  • (20181022) NEDC TUH EEG Seizure (v1.4.0): This release includes improvements to the quality of annotations. Annotation corrections were made in the development test and training sets

  • (20180817) NEDC TUH EEG Seizure (v1.3.0): This release contains quality improvements of the annotations, as manually labeled calibration sequences. The main reason for this release is that we have created a blind evaluation set, often referred to as a held-out set. This is not being released, but will be used in an upcoming Kaggle-style challenge hosted by IBM. More details about this challenge will follow within the next few months.

  • (20180710) NEDC EEG AutoAnnotations (v1.1.0): This release includes the addition of automatically generated annotations using a six-way classification approach. In six-way classification, the first three events are of clinical interest: (1) spike and/or sharp waves (SPSW), (2) periodic lateralized epileptiform discharges (PLED), and (3) generalized periodic epileptiform discharges (GPED). The remaining three events are used to model background noise: (1) eye movement (EYEM), (2) artifacts (ARTF), and (3) background (BCKG).

  • (20180621) The TUH EEG Events Corpus (v1.0.1): The EDF files in the previous release with corrupted headers have been fixed. All files should pass processing using standard open source tools.

  • (20180609) The TUH EEG Corpus (v1.1.0): These annotations are only for EEG files that are under an hour in duration and contain 22 channels.

  • (20180530) The sixth floor lab had a going-away party to celebrate Eva Von Weltin's last week working with us. We are incredibly grateful for having Eva work with us these past few years, and wish her the best in her future endeavours!

  • (20180514) IEEE SPMB 2018 is quickly approaching. Please make sure to submit your papers before the August 1st deadline!

  • (20180509) The end of the semester is finally here! The ISIP group had our annual end of the year party to celebrate the end of the academic year. Time to have a productive summer!

  • (20180506) Congratulations to James Riley McHugh for receiving his B.S. in Electrical Engineering! We are thankful for all the work he's accomplished, and wish him the best in his future endeavors.

  • (20180504) Congratulations to our research team for the acceptance of their abstract submissions for the 2018 ISMB conference! Abstracts discuss the automatic interpretation of abnormal EEGs, curriculum based deep learning techniques, and a deep residual learning framework for convolutional neural networks.

  • (20180501) NEDC Eval EEG (v1.2.0): This scoring software results using 5 different scoring methods: NIST, DP Align, Epoch Based, Any-Overlap, and TAES.

  • (20180417) The TUH EEG Corpus (v1.1.0): This is the official version of the TUH EEG Corpus. This release organizes each session by the montage definition it fits. File naming conventions have been adjusted and files not containing any usable brain signal have been removed.

  • (20180416) The TUH EEG Seizure Corpus (v1.2.1): This release includes small annotation fixes and an addition to the _SEIZURES spreadsheet of calibration start and end times, as well as other small cleanups.

  • (20180416) The TUH EEG Seizure Corpus (v1.2.1) This release includes small annotation fixes and an addition to the _SEIZURES spreadsheet of calibration start and end times.

  • (20180412) The TUH Abnormal EEG Corpus (v2.0.0): This is a subset of the TUH EEG corpus that can be used for automatic detection of abnormal EEGs. This release contains patient numbers that have been re-mapped to be consistent with v1.1.0 of TUH EEG. Some cleanups including the removal of duplicate files have been made.

  • (20180412) The TUH EEG Slowing Corpus (v1.0.1): This is a small data set that can be used to study the difference between slowing and seizures in EEGs. This release contains patient numbers that have been re-mapped to be consistent with v1.1.0 of TUH EEG.

  • (20180327) The TUH EEG Six-Way Event Classification Corpus (v1.0.0): This release contains the data used to develop our initial version of AutoEEG. Sections of EEG signals are annotated for one of 6 events: spike, gped, pled, eye movement, artifact and background. Please review the AAREADME file for more information about the release.

  • (20180208) Visualize EEG signals with our Python-based visualization tool! Functionality includes an integrated annotation system (which can create and review label files), configurable EDF scrolling, visualization in the form of spectograms, and much more! The tool has been developed to assist with the annotatation of TUH EEG and to support our machine learning research. For more information about the tool, click here.

  • (20180108) Happy New Years! We have big events planned for 2018, and we are excited to seeing you all at IEEE SPMB 2018 this year!

  • (20170923) v1.0.0 of the TUH EEG Corpus was finally released. See TUH EEG Corpus for more details.

  • (20170920) v1.0.0 of the TUH EEG Slowing Corpus has been released. See TUH EEG Slowing Corpus for more details.

  • (20170805) v1.1.1 of the TUH EEG Seizure Corpus has been released. See TUH EEG Seizure Corpus for more details.

  • (20170727) Congratulations to our GETS summer students for successful completion of their 5-week summer course on machine learning.

  • (20170722) v1.1.0 of the TUH EEG Seizure Corpus has been released. See TUH EEG Seizure Corpus for more details.

  • (20170629) Today, the research team celebrated the departure of two significant graduates, Silvia Lopez and Aaron Gross, over lunch. Prior to lunch, Silvia gave an outstanding presentation on her thesis proposal, found here.

  • (20170621) The Research Team has submitted their paper in the NIPS2017 conference titled "Deep Architectures for Automated Seizure Det ection in Scalp EEGs."

  • (20170621) On behalf of a very hard-working group of undergraduates, we are pleased to announce the release of v1.0.4 of the TUH EEG Seizure Corpus.

  • (20170601) The 7th annual IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB 2017) will be held on December 2, 2017 at Temple University in Philadelphia. Please refer to the conference website and the Call For Papers for more details.

  • (20170523) Congratulations to our newest 2017 Spring graduates, Elliott Krome and Aaron Gross, for their excellent achievements and progress made for the NEDC EEG Research group.

  • (20170428) Today, the research team presented the demo at Temple's Innovation Showcase! The presentation materials may be found here.

  • (20170427) Congratulations to Vinit Shah for passing his PhD Preliminary Exam! A video of his presentation and more information can be found here.

  • (20170426) The manually annotated TUH EEG Seizure Detection Corpus has finally been released! To learn more about this database or to download it, click here.

  • (20170407) Drs. Picone and Obeid will be publishing a book chapter titled "Machine Learning Approaches to Automatic Interpretation of EEGs" soon. This will appear as a chapter in the CRC Press book "Biomedical Signal Processing in Big Data" which is expected to be published in Fall 2017. A prerelease of the chapter is available here. This chapter presents a concise overview of the application of machine learning and big data to EEG interpretation.

  • (20170314) Seyedeh Saeedeh, Meysam Golmohammadi, and Dawer Jamshed have attended the annual Columbia Workshop to learn more about Brain Circuits, Memory, and Computation. Click here to learn more.

  • (20170209) Meysam Golmohammadi presented a poster on the TUH EEG Seizure Detection Corpus at the annual meeting of the American Clinical Neurophysiology Society. His poster can be viewed here.

  • (20161221) The fall semester has come to an end and we have celebrated the holiday festivities with a Christmas party! The photos of the party can be found here.

  • (20161214) Congratulations to Amir Harati, who has successfully presented a paper titled "A nonparametric Bayesian approach for automatic discovery of a lexicon and acoustic units" at IEEE Workshop SLT 2016. You can view his work here.

  • (20161204) Congratulations to our team for hosting IEEE SPMB 2016. We had over 70 attendees, 24 papers and 9 posters presented, and two excellent plenary talks. The technical program can be found here.

  • (20161130) We attended the NIH BD2K All Hands Meeting to present our latest work on cohort retrieval. Our presentations included a demo of AutoEEG with a new cohort retrieval feature.

  • (20160930) It is pizza time again in ISIP. This doesn't happen too often but is one of those can't miss events -- homemade pizza!

  • (20160916) Congratulations again to Amir Harati, who had his paper titled A Nonparametric Bayesian Approach for Automatic Discovery of a Lexicon and Acoustic Units accepted to the 2016 IEEE Workshop on Spoken Language Technology.

  • (20160912) Congratulations to Amir Harati, who has successfully presented a portion of his dissertation titled "A Nonparametric Bayesian Approach For Spoken Term Detection by Example Query" at INTERSPEECH 2016. You can view his work here.

  • (20160825) The Fall 2016 semester is about to start, so it is time for our beginning of semester lunch to welcome our new students. Two graduate students are joining our group, and we expect to add two undergraduates as well. Unfortunately, none of them could attend their welcoming party :( but that didn't stop us from enjoying a nice lunch.

  • (20160729) It is the end of the summer and it is time to say goodbye to our Brazilian exchange student, Matheus Guedes De Andrade. He had a very productive summer working on our seizure detection project. His poster presentation can be found here.

  • (20160715) Congratulations to our Summer Of Code undergraduates, who presented at this year's College of Engineering Research Day. You can view their posters here. Enjoy some pictures from the conference.

  • (20160506) Congratulations to our Spring 2016 graduates. Amir finally walked! We will miss Sammy and Devin. Enjoy some pictures from our graduation party.

  • (20160428) With much sadness we wish Sammy Deegan and Devin Trejo a fond farewell and send them off to exciting new engineering careers. Both are graduating this semester and will leave Temple University. They each made enormous contributions to our group and will be missed. Enjoy some pictures from their going-away party.

  • (20160324) Scott Yang joins our group as our first postdoc. Scott will lead our NIH-funded project titled "Automatic discovery and processing of EEG cohorts from clinical records". Go here to learn more about this project.

  • (20160225) Congratulations to Saeedeh Khoshgoftar for passing her PhD Preliminary Exam today. His paper and presentation are located here.

  • (20160223) Congratulations to Meysam Golmohammadi for passing his PhD Preliminary Exam today. His paper and presentation are located here.

  • (20160215) Congratulations to Amir Harati for his recent journal publication titled "A Doubly Hierarchical Dirichlet Process Hidden Markov Model with a Non-Ergodic Structure." The hardcopy version of the IEEE/ACM Transactions on Audio, Speech, and Language Processing containing his paper was released this month.

  • (20151112) We attended the NIH BD2K All-Hands Meeting to present several posters on our project titled "Automatic discovery and processing of EEG cohorts from clinical records". To learn more about this research, go here.

  • (20150729) The 2015 version of our infamous Summer of Code is rapidly coming to an end, which means it is time for a party. Enjoy some pictures from our going away party. To learn more about the research conducted this summer, go here.

  • (20150724) Congratulations to Devin Trejo and Fabricio Teles Dutra Goncalves for presenting posters at the College of Engineering Undergraduate Summer Research Workshop. Some pictures from this event can be found here.

  • (20150714) Meysam Golmohammadi, Iyad Obeid and Lou Bucelli completed the first phase of I-Corps training in Chicago.

  • (20150528) Congratulations to Dr. Steven Tobochnik, who graduated from the Temple University School of Medicine in May, and is on his way to a residency at Columbia University New York Presbyterian Hospital. Steven was instrumental in creating our AutoEEG technology by teaching us how to read EEGs and hand-labeling enough data to build good models. We hope to continue collaborating with him once he settles into his new home in NYC. We will miss him. He was an excellent teacher and collaborator.

  • (20150508) Congratulations to Silvia Lopez who graduated with her BS in Electrical Engineering. Silvia will start her MS degree in Fall 2015 and continue to play a prominent role in our EEG projects.

  • (20150424) We participated in the kickoff meeting for Temple Ventures by demonstrating our AutoEEG technology. Learn more about our project here.

  • (20150402) Join us in congratulating a colleague, Kazuhiro Kondo, on his promotion to full professor at Yamagata University in Japan. We first met Kondo-sensei in the early 1991 at Texas Instruments in Japan. We have been friends ever since. He has been highly productive was a professor and is author of the book Subjective Quality Measurement of Speech: Its Evaluation, Estimation and Applications (Signals and Communication Technology).

  • (20150226) Several students presented posters at the 2015 Temple University College of Engineering Research Poster Competition during Engineer's Week. See Temple CoE Posters to view the work that was presented..

  • (20141213) We hosted the 2014 IEEE Signal Processing in Medicine and Biology Symposium. The conference web site is located here.

  • (20140815) Our long-time colleague, Dr. Georgios Lazarou, returned to academia this fall when he joined the Department of Electrical and Computer Engineering at University of South Alabama in Mobile, Alabama. He was previously living in New York City where he was instrumental in reengineering the communications systems for the New York City Transit system. We wish him well in his new endeavor and look forward to our continued collaborations.

  • (20140802) Silvia Lopez presents a poster titled "Automatic Interpretation of EEGs Using Big Data" at the 2014 Temple College of Engineering Research Experience for Undergraduate Students Conference.

  • (20140326) Amir Harati presented the most complete version of his dissertation work to date at the 48th Annual Conference on Information Sciences and Systems. Learn more about his groundbreaking work on nonparametric Bayesian models here.

  • (20140102) In 2013, the speech research community lost one of its beloved members, David Pallett. For many years, Dave guided the Speech Group at the National Institute for Standards and Technology (NIST), and transformed speech research from an unprincipled discipline to a science. Human language technology conferences just aren't the same without Dave's commanding presence showing an updated common evaluations slide.

  • (20131207) Joe Picone presented a poster on the TUH EEG Corpus at the IEEE Signal Processing in Medicine and Biology Symposium (SPMB13). Temple University will host this conference in 2014. Learn more about our EEG work here.

  • (20131206) John Steinberg presented his MS thesis work at the International Conference on Systems, Computing Sciences and Software Engineering (SCSS 13). You can read his paper here.

  • (20131204) Our first paper on the TUH EEG database was presented at the first IEEE Global Conference on Signal and Information Processing (GlobalSIP 2013). We also organized a symposium titled "Advancing Neural Engineering Through Big Data." More information about the symposium and our paper can be found here.

  • (20130831) Amir Harati's paper on his dissertation work was presented at INTERSPEECH 2013. Enjoy some memories from our trip to Lyon, France. His paper was well-received and people are looking forward to his recognition results on conversational speech.

  • (20130812) Shuang Lu presented a conference paper on her dissertation work on fingerspelling at IPCV'13 in Las Vegas, Nevada, USA. Despite being known as Sin City, The City That Never Sleeps, and the Gambling Capital of the World, Shuang only was willing to share this picture showing her hard at work. I guess what happens in Vegas stays in Vegas :)

  • (20130527) Enjoy some pictures from John Steinberg's going-away party. It was held at the Dock Street Brewing Company in West Philadelphia. Good luck to John as he heads to the SCALE summer workshop.

  • (20130516) John Steinberg graduated with his MS. His thesis work can be found here. Ilyana Mushaeva graduated with here MS also. Sung Cho and Vira Oleksyuk graduated with their BS degrees. Enjoy some moments from Temple's 126th graduate ceremony here. All have played an instrumental role in getting ISIP established at Temple and contributed significantly to the department in various administrative capacities.

  • (20130418) Amir Harati passed his PhD proposal defense today. He is the first ISIP student at Temple University to pass this milestone. View his presentation here. Congratulations to Amir!

  • (20120222) View the papers we presented at Temple's College of Engineering Research Day here.

  • (20130216) View our CogSIMA conference poster on keyword search here. There is also a demo of the system available at Keyword Search Demo. This presentation is the first detailed look at predicting the quality of a search term and what factors contribute to poor keyword search performance.

  • (20130101) View our ICASSP 2013 submission here. This is the basis of Amir Harati's dissertation work on nonparametric Bayesian models for speech recognition.

  • (20121220) View our paper on keyword search term reliability to be presented at the 2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support.

  • (20121215) This figure represents a nice overview of ASR learning paradigms. It appeared in a paper by Jim Glass and his colleagues at MIT. See unsupervised learning for more details.

  • (20120301) Enjoy our demonstration of keyword search term strength.