Research Spotlight: Elise de Doncker
Elise de Doncker is a professor of Computer Science at WMU. She obtained her doctoral degree in mathematics at the Katholieke Universiteit Leuven (KUL), Belgium. Her research revolves around algorithm design and analysis, particularly in scientific computing and numerical integration, and targeted toward high performance computations and architectures. To date (7/24/20), the Quadpack integration package, developed when she was a student (with R. Piessens, D.K. Kahaner and C.W. Uberhuber) has 1,356,922 downloads from netlib.org, and the Quadpack book was cited 1218 times according to Google Scholar. She also pioneered the ParInt package for multivariate integration (with A. Gupta, A. Genz and R. Zanny) for cluster and distributed integration. Perhaps in Renaissance style she later branched out to other fields including neural networks, agent-based simulations (of epidemics/pandemics), sentiment analysis, human behavior modeling, and bioinformatics.
Department announcements
AI Solutions Can Help Manage Social Crisis
Dr. Ajay Gupta addressed the global online conference “AI Solutions for Covid” hosted by Bennett University in India. Dr. Gupta delivered a talk entitled “AI Solutions Can Help Manage Social Crisis.”
New Cybersecurity Program to be Offered Fall 2020
The department of computer science is jointly offering a program in cybersecurity starting fall 2020. The program offers both undergraduate and graduate degrees. All WMU cybersecurity programs use industry frameworks and standards to guide program development. Full program description here.
Call for Papers - Workshop on Large Scale Computational Science
The LSCS (Large Scale Computational Science) Workshop chaired by E. de Doncker, F. Yuasa, and H. Matsufuru will be held July 1-4, 2020 in Cagliari, Italy. The event is seeking papers with themes of large scale computations, massive parallelism, modeling, simulations, and data and applications. See the full announcement here.
New Machine Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data
WMU professors Alvis Fong and Fahad Saeed recently published a paper in Frontiers in Neuroinformatics.The paper details a method of detection of Autism Spectrum Disorder using a machine learning approach using fMRI data. The method achieves a maximum of 82% accuracy which is a substantial increase as compared to the state-of-the-art methods. Read the full paper here.
CEAS Computer Science Student Saves Middle School’s Robotics Season
Computer science major Jonathan Sanford shares his knowledge of JAVA to help Schoolcraft Middle School’s Robotics Club pull off a successful season. Read the full article here.
Dr. James Yang is the program co-chair of the Symposium on Dependable Software Engineering, Beijing, China, September 4-6, 2018
The purpose of the symposium is to bring together international researchers and practitioners in the field of software technology in order to exchange research results and ideas with the Chinese computer science and software engineering community. more
Dr. Leszek Lilien is the technical program co-chair for the IEEE/IFIP 15th Wireless On-demand Network Systems and Services Conference, Wengen, Switzerland, January 22-24, 2019.
WONS (Wireless On-demand Network Systems) is a high quality forum to address the challenges of the exciting field of wireless on-demand network systems. more
Graduate student publications
ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data
Authors: Taban Eslami, Vahid Mirjalili, Alvis Fong, Angela R. Laird, and Fahad Saeed, more
RDMTk: A toolkit for Risky Decision Making
Authors: V. Gavirangaswamy, Aakash Gupta, M. Terwilliger and Ajay Gupta, more
Fog-based local and remote policy enforcement for preserving data privacy in the Internet of Things
Authors: A. Al-Hasnawi, Ajay Gupta and S. Carr, more
Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey
Authors: B. Qolomany, A. Al-Fuqaha, A. Gupta, D. Benhaddou, S. Alwajidi, J. Qadir and A. Fong, more
Research awards
Research Grant Award - Muaaz Gul Awan
Congratulations on your great success in being awarded a Graduate Student Research Grant....more
Research Grant Award - Mohammed Aledhari
Congratulations on your great success in being awarded a Graduate Student Research Grant....more
Dr. Fahad Saeed Receives Prestigious NSF CAREER Award
Dr. Fahad Saeed, a Western Michigan University assistant professor in the Departments of Computer Science and Electrical and Computer Engineering, was named a recipient of the highly prestigious, 5-year, $500,000 CAREER award from the National Science Foundation (NSF). ... more
Colloquia
Real-time Scalable Intelligent Video Analytics for UAV Systems
Dr. Hadi AliAkbarpour - Monday, March 9, 3:00-4:00pm, D-132
Reinforcement Learning for Cyber Security: Unmanned Aerial Vehicle Dynamic Routing via Multi-Armed Bandit
Dr. Xiaohua Xu - Thursday, February 27, 2:30 – 3:30pm, D-204
Machine Learning in Cancer Diagnosis and Personalized Medicine
Dr. Abedalrhman Alkhateeb - Tuesday, February 25, 2:30 – 3:30pm, D-204
Building Reliable and Trustworthy AI in the Cognitive Era
Dr. Guan Yue Hong - Friday, February 21, 2:30 – 3:30 pm, D-132
Doctoral Oral Examiniation: High Performance and Machine Learning Algorithms for Brain fMRI Data
Candidate: Taban Eslami
Committee: Dr. Fahad Saeed, Chair, Dr. Alvis Fong, Dr. Kevin Lee, Dr. Ajay GuptaFriday, February 21, 2020, 1 to 3 p.m. C122 Parkview Campus
Ph.D. Dissertation Defense: Formal Verification on Software Testing
By Jialiang Chang on January 28th, 2020. D-201, 10:00 am - 12:00 pm.