Adjunct Prof. Dr.-Ing. Mahdi Bohlouli – Personal Academic Page

My recent News (2020):
PUBLICATION 
The paper with the title “Deep Pre-Processing Approach Towards Large Scale Colloquial Persian Language Understanding Dataset” has been accepted in the 12th Language Resources and Evaluation Conference (LREC 2020).
PUBLICATION
The book with the title “Data Science: From Research to Application” is published by the Springer Verlag.
EVENT
I will co-chair the Innovation Workshop on “Transforming Big Data into Actionable Knowledge (BiDAW) 2020” co-located with the 16th SEMANTiCS conference in Austin, TX. 
PUBLICATION
The paper with the title “Detection of Thin Boundaries between Different Types of Anomalies in Outlier Detection using Enhanced Neural Networks” has been accepted in the Applied Artificial Intelligence Journal (IF=0.988, Q3)
TALK
I will give a short invited speech with the title “The AI and Big Data Research: Towards the future’s Autonomous Digital World” in German-Japanese Forum: Industry 4.0 and The Future of Work on 31 March 2020, Tokyo, Japan.
EVENT
I will co-chair the “Open Distributed Real-time Embedded Systems” Workshop, co-located with the 23rd IEEE International Symposium on Real-Time Distributed Computing (ISORC20), Nashville, TN.
PUBLICATION
The paper with the title “A Diagnostic Prediction Model for Chronic Kidney Disease in Internet of Things Platform” has been accepted in the Multimedia Tools and Applications” Journal (IF=2.101, Q1)
PUBLICATION
The paper with the title “A review on autism spectrum disorder in internet of things (IoT)” has been accepted in the “The Journal of Supercomputing” Journal (IF=2.157, Q2)

Mahdi Bohlouli is currently Assistant Professor for data science and machine learning at the Institute for Advanced Studies in Basic Sciences (IASBS) with the main research focus on applied deep learning and big data, especially in tackling misinformation (fake-news) and identification of social bots areas. This covers the use of a novel recurrent neural network approach featuring an attention mechanism. Furthermore, Mahdi leads significant researches in the areas of applied deep learning and big data analytics in services of tomorrow covering work 4.0, smart cities and web of things.

Before accepting assistant professorship at IASBS, Mahdi was group leader (2016-2018) of Web Search and Data mining in the Institute for Web Science and Technologies (WeST), University of Koblenz as well as senior research associate and project manager (2010-2016) at the Institute of Knowledge-based Systems (KBS), University of Siegen. Mahdi has received his Ph.D. from the University of Siegen with the main focus on statistical regeneration and scalable clustering of big data using MapReduce in the Hadoop ecosystem. Furthermore, Mahdi was involved in leading up various industrial software projects in the IT sector (2001- 2008).

Mahdi has a successful experience and great acceptance record in European and German research proposals and projects, which resulted in numerous research projects with involvement in setting-up, management, and research activities. Because of this, he has also been invited to give keynote talks in various universities/countries about how to succeed with European research proposals. He has supervised over 50 undergraduate, graduate, and research reports and has taught over 20 courses in different universities up to now. Mahdi served a Program Committee (PC) member over 40 highly qualified conferences as well as co-chair of workshops/conferences. Furthermore, he has been invited for reviewing in over 25 scholarly (mostly ISI indexed) journals. Last but not least, Mahdi gave few invited and keynote talks in various conferences about Big Data, Machine Learning, Cyber-Physical Systems and their applications in the workforce of tomorrow (Work 4.0). Further information can be found in corresponding sections.