Time Table
The German University in Cairo, guc , is an Egyptian Private University founded by the presidential decree 27/2002, according to the law number 101/1992 and its executive regulations number 355/1996.
Guc is established in cooperation with the State Universities of Ulm and Stuttgart, under the patronage of the Egyptian Ministry of Higher Education, the Ministry of Science, Research and Arts, State of Baden-Wuerttemberg, Germany, and supported by the German Academic Exchange Service ( daad ), the German Embassy in Cairo, the Arab/German Chamber of Industry and Commerce ( ahk ), the Federal Ministry of Education and Research, Germany, The State University of Tuebingen and The State University of Mannheim.
For more information, please visit the guc website.
Cairo (Arabic: al-Qahira) is the capital of Egypt and the largest city in the Arab World. Nicknamed "The City of a Thousand Minarets" for its preponderance of Islamic architecture, Cairo has long been a center of the region's political and cultural life. Even before Cairo was established in the tenth century, the land composing the present-day city was the site of national capitals whose remnants remain visible in parts of Old Cairo. Cairo is also associated with Ancient Egypt due to its proximity to the Great Sphinx and the pyramids in nearby Giza.
Egyptians today often refer to Cairo as Misr, the Arabic name for Egypt itself, emphasizing the city's continued role in Egyptian influence . Cairo has the oldest and largest film and music industries in the Arab World, as well as the world's second-oldest institution of higher learning, al-Azhar University. Many international media, businesses, and organizations have regional headquarters in the city, and the Arab League has been based in Cairo for most of its existence.
With a population of 6.8 million spread over 214 square kilometers (83 sq mi), Cairo is by far the largest city in Egypt. With an additional ten million inhabitants just outside the city, Cairo resides at the center of the largest metropolitan area in Africa and the eleventh-largest urban area in the world. Cairo, like many large cities in developing countries, suffers from high levels of pollution and traffic, but its metro is currently the only on the African continent and also ranks among the fifteen busiest in the world, with over 700 million passenger rides annually.
Time Zone GMT +2 Hours
Daylight Saving Time from May 1 through the Last Thursday in September.
Telephone Code +202
Weekend Friday. Some business close on Saturday or Sunday as well. Shops and Stores are usually open on Friday.
All people speak Arabic.
English is the second language.
Few people speak German and French.
Most areas in Egypt use 220 volts AC, 50 Hz. Wall sockets are the round two pin European type. Adaptor plugs are easily found in city stores but bring a transformer if you need one.
Prof. Dr. Ropinski heads the Visual Computing Group at Ulm University. Before moving Ulm, he was a Professor in Interactive Visualization at Linköping University in Sweden where he was heading the Scientific Visualization Group. Prof. Ropinski received his Ph.D. in computer science in 2004 from the University of Münster, where he also completed his habilitation in 2009.
Dr. Shadi is the Leader of the Medical Image Analysis team at the CAMP Chair. He is coordinating and managing the relevant research activities and projects with his academic and industry partners. He is highly interested in the area of Human-Machine Collaboration and applications of deep learning in medical imaging.
Dr. Seif Eldawlatly is currently an Associate Professor at the Faculty of Media Engineering and Technology, German University in Cairo. He received his PhD in Electrical and Computer Engineering from Michigan State University, USA in 2011. He received his M.Sc. and B.Sc. degrees in Electrical Engineering (Computer and Systems Engineering Department) from Ain Shams University, Cairo, Egypt, in 2006 and 2003, respectively. His research focuses on utilizing machine learning and signal processing techniques to develop invasive and non-invasive Brain-Machine Interface (BMI) ...Read moreapplications and analyze brain activity. He has been the principal investigator of multiple research projects aiming at developing a visual prosthetic system to provide visual sensation to the blind by electrically stimulating deep brain areas responsible for visual encoding. He has also been the principal investigator of multiple projects that aim at developing applications to enable disabled subjects to interact with computer devices using their brain electroencephalography (EEG). Finally, he is the principal investigator of a US-Egypt project to discover early electrophysiological biomarkers of Amyotrophic Lateral Sclerosis (ALS) disorder. He has more than 50 refereed publications in the neuroengineering research area.Read Less
Dr. Mervat Abu-Elkheir is an associate professor of information technology at the GUC. She obtained her PhD from Mansoura University in collaboration with Queen’s University, Canada. Her research interests are in the areas of data management, big data analytics, machine learning, and future data-driven Internet architectures. She is working with her students on investigating advanced data mining and data management issues such as spatio-temporal and time series analysis techniques, ...Read moredata management platforms and applications for the IoT, human activity recognition, online community evolution detection, crowd analytics, and process mining. She worked on projects related to data analysis, driver behavior analysis, health analytics, Meta and Federated Learning, conversational chatbots, and event recommendation systems. Read Less
Dr. Motaz El Saban is the Director of Data Science in Raisa Energy Egypt leading the work on data science in areas such as oil and gas production estimation, drilling timing prediction, risk analysis and information extraction from documents and satellite images. He also serves as an associate professor at Cairo University where he teaches several undergraduate and graduate courses and supervises a number of students in their theses Prior to joining Raisa Energy, Motaz spent nine years as a senior applied researcher and ...Read more research manager in Microsoft Advanced Technology Labs in Cairo (part of Microsoft Technology & Research organization). In Microsoft, he was engaged in research and incubation activities related to computer vision (especially object recognition and tagging on mobile devices), information retrieval and speaker recognition. He published over 40 peer-reviewed articles, one book chapter on mobile and cloud vision and contributed to various internal Microsoft publications such as ThinkWeek papers. He has seventeen US patents and patent-pending applications and his work led to nine technology transfers to Microsoft products and services. Motaz’s research work has been featured in news outlets such as BBC, New Scientist magazine andTechRadar. He was co-PI on several research grants with university professors. Motaz is a regular program committee member and reviewer for international conferences and journals such as ICCV, ICIP, and ICPR and chaired two conference sessions (ICIP 2009 and ICPR 2012). He also served on boards reviewing technical progress for Egyptian startups fund granting. Prior to joining Microsoft, Motaz worked in Google on visual object recognition. Motaz received his Ph.D. degree from the University of California Santa Barbara in 2006. The thesis investigated novel methods for automatic tracking and modeling of microtubule cellular structures and is one of the very first attempts to automatically model microtubulesRead Less
Dr. Mohamed Elmahdy is a staff data scientist at Raisa Energy LLC. Cairo office. He joined Raisa in Sept. 2019, and his work is mainly focused on risk and return modeling for oil and gas investments. Prior to joining Raisa, he was an assistant professor for four years at the German University in Cairo, the computer science department. At the GUC, he used to teach different undergraduate and postgraduate courses and supervising research on speech, natural language processing, and machine learning. From 2011 to 2014, he worked as a postdoctoral research fellow ...Read moreat Qatar University in cooperation with the University of Illinois at Urbana-Champaign. In his postdoc, he worked on multi-dialect phrase-based speech recognition and machine translation for Qatari broadcast TV. In 2011, he received his Ph.D. degree from the Institute of Information Technology at the University of Ulm, Germany. In his PhD, he proposed different transfer learning techniques to improve the performance of dialectal Arabic speech recognition systems. His research was published in top-tier speech conferences like Interspeech and ICASSP. He received his B.Sc. and M.Sc. years 2000 and 2004 respectively in Engineering from Cairo University. From 2005 to 2007, he worked as a consultant R&D engineer at Diagnosoft, Inc. At Diagnosoft, he worked on the development of various analysis and processing tools for advanced MRI imaging techniques like delay-enhancement, harmonic-phase, and strain-encoding. From 2000 to 2006, he has been working as an R&D engineer at IBE Technologies, Cairo, Egypt. At IBE Technologies, he contributed to the design and development of the first Egyptian ultrasound imaging system; he designed and implemented different 3D and 4D volumetric reconstruction and visualization techniques.Read Less
Eng. Maged is currently the Managing Director of dlc, a travel technology company based in Cairo. He graduated from GUC in 2015 with a degree in Computer Science and continued his Master's in Artificial Intelligence in KU Leuven, Belgium. Worked for a year as a Teaching Assistant at GUC, for the Concepts of Programming and Natural Language Processing courses, then shifted to industry at dlc. Worked at dlc for a year as the Data Science Lead, serving both Data Analytics and Machine Learning applications for the travel industry. Currently leading the company in the digital ...Read more transformation of different travel sectors, including booking platforms, cruises management, and e-commerce websites. Read Less
Eng. Ezz is a Machine Learning Scientist at Affectiva, a leading company in Emotion AI. He studied BSc. in Computer Science and Engineering at the GUC, and MSc. in Artificial Intelligence at the Technical University of Munich. With passion in Machine Learning and Software Engineering, Mohamed worked and interned in the past at Cliqz (Munich), Microsoft (Seattle) and Valeo (Cairo) and currently at Affectiva is responsible for the object detection and tracking, as well as the deployment of deep learning models on embedded devices.
Mohamed Sherif is a Developer Advocate at IBM Egypt who holds a bachelor's degree in Computer Science and Engineering from the German University in Cairo. He is a co-founder of a fitness platform startup. Moreover, he has professional experience as a Java Software Developer. Mohamed finds passion in learning new technologies and delivering what he learned to people. He is mostly interested in Artificial Intelligence and Microservices.
Mohamed Badreldin is a Developer Advocate at IBM. He is a Computer Science graduate with experience in Machine Learning and Data Science. Mohamed has recently completed a masters at the University of Manchester with a specialization in Data Science. His main interests revolve around AI, Blockchain and the insights one can extract from any kind of data.
ElMoghazy started his Machine Learning journey more than three years ago. Besides being an undergraduate student at the Computer Science and Engineering Department at the GUC, he is also a Machine Learning contractor at Mentor graphics, a Siemens business. ElMoghazy used to write Machine Learning tutorials, one of them was considered a top kernel by Kaggle (a Google company), he also earned 6 medals (2 silver and 4 bronze) in the kernel’s category with a rank of 358th out of 100K Kaggle users. ElMoghazy also was among the regional winners of the Middle East and Africa region ...Read morein the 2019th edition of Call For Code global competition. A few months ago he was accepted as a visiting student to make some research for 5 months at the MIT media lab. One of his current research interests is the use of Machine Learning for Human-Computer Interaction applications (co-authored a paper pending review).Read Less
Registration will be based on first come first serve basis. Lectures will show you the true power of Data Science and Machine Learning
concepts.
Deadline for registration will be 15 November.
Hackathon, compete and connect with other fellow developers to develop solutions that integrates some Machine Learning components to save the
environment.
Deadline for registration will be 15 November.
