جست‌وجوی استاد و پژوهشگر

Haytham Nawarمشاهده پروفایل

دانشیار

• Design History
• Multiscriptual Design
• Arabic Typography
• +۵ مورد دیگر

Haytham Nawar is an Associate Professor and Chair of the Department of the Arts at The American University in Cairo (AUC), a position he has held since 2019. He joined AUC in 2014 as an Assistant Professor of Design and directed the Graphic Design Program from 2016 to 2019. With over two decades of international experience spanning Greece and Hong Kong, Nawar is a practicing artist-scholar and founding director of Cairotronica, Cairo's International Electronic and New Media Arts Festival held biannually since 2016. His research centers on Design History with emphasis on the Arab World and Africa, exploring multiscriptual design systems, Arabic typography, and pictographic communication. Nawar investigates trans-culturalism and posthumanism through generative design projects utilizing machine learning, including his ongoing work on a generative pictographic language and studies of Egyptian multiscriptual identity and under-documented African visual cultures. Nawar's accolades include: Fulbright Visiting Artist at School of Visual Arts (SVA), New York (2011-2012) Fulbright Visiting Scholar at UCLA ArtSci Center (2017-2018) As academic leader and mentor, Nawar has guided design students while securing Fulbright-funded research opportunities. His founding of Cairotronica demonstrates sustained commitment to creating institutional platforms for new media art in Egypt, fostering collaborations between artists, designers, and technologists through festival programming and year-round initiatives. Through Cairotronica, Nawar leads a multidisciplinary team that operates as Egypt's primary hub for electronic arts, organizing exhibitions, workshops, and residencies that bridge traditional artistic practices with emerging technologies while documenting regional visual cultures.

Sherif Abdel Azeemمشاهده پروفایل

استاد

• Pattern Recognition
• Optical Character Recognition (OCR)
• Arabic Handwriting Recognition

Sherif Abdel Azeem is a Professor and Graduate Program Director in the Department of Electronics and Communications Engineering at The American University in Cairo (AUC) . He joined AUC in September 2004, bringing extensive experience from his previous role as an Associate Professor at Cairo University's Faculty of Engineering. Education: PhD in Electrical and Computer Engineering from Queen’s University (1995) Research Focus: His work centers on pattern recognition , specifically optical character recognition (OCR) and Arabic handwriting recognition , addressing challenges in machine learning and signal processing for linguistic applications. Academic Leadership: Currently directs the ECNG Graduate Program at AUC, contributing to curriculum development and student mentorship in electronics and communications engineering.

• Data Science
• Neural Engineering
• Machine Learning
• +۷ مورد دیگر

Seif Eldawlatly is a Professor in the Department of Computer Science and Engineering at The American University in Cairo (AUC), where he joined as an associate professor in Fall 2022 and has since been promoted. He has prior affiliations with the Faculty of Engineering at Ain Shams University and the Faculty of Media Engineering and Technology at the German University in Cairo. Education: PhD in Electrical Engineering, Michigan State University, East Lansing, Michigan, USA (2011) MSc in Electrical Engineering (Computer and Systems), Faculty of Engineering, Ain Shams University, Cairo, Egypt (2006) BSc in Electrical Engineering (Computer and Systems), Faculty of Engineering, Ain Shams University, Cairo, Egypt (2003) His research lies at the intersection of data science, machine learning, and neural engineering , with a strong emphasis on developing both invasive and non-invasive Brain-Computer Interface (BCI) systems. His work applies signal processing and electrophysiology techniques to innovate in areas such as visual prosthetic systems and early diagnosis of neurodegenerative diseases. He also develops assistive technologies enabling disabled individuals to interact with computers using EEG signals. Although specific publication titles are not listed, his body of work includes over 70 refereed publications reflecting sustained contributions in neuroscience, machine learning, and biomedical signal processing. His research trajectory shows a consistent focus on applying computational intelligence to solve clinical and assistive challenges in neuroengineering. Scientific Awards: Seif Eldawlatly has served as the principal investigator on multiple research projects, demonstrating leadership in securing and managing research grants focused on machine learning applications in neural engineering and BCI development. While specific grant names and funding agencies are not mentioned, his role as PI highlights his active involvement in funded research. He has not listed any formal advisees in the provided text, but his senior academic position and research output suggest potential mentorship activities. There is no mention of specific labs or research teams in the provided text, though his research areas imply collaboration in neural engineering and data science laboratories focused on electrophysiological signal analysis and BCI prototyping.

• Character Computing
• Privacy Preservation
• Security
• +۹ مورد دیگر

Alia El Bolock is an Assistant Professor in the Department of Computer Science and Engineering at The American University in Cairo (AUC), where she joined in 2023. Her work bridges computer science and psychology through the innovative field of character computing, aiming to enhance human behavior understanding and mental well-being via technology. She holds a PhD from Ulm University, Germany (2022), and both an MSc and BSc from the German University in Cairo, Egypt (2014 and 2013 respectively). PhD: Ulm University, Germany, 2022 MSc: German University in Cairo, Egypt, 2014 BSc: German University in Cairo, Egypt, 2013 Her research interests include character computing, privacy preservation, applied machine learning, ethical AI, modern cryptography, and human-computer interaction. She integrates interdisciplinary knowledge to develop responsible and secure AI systems that support psychological well-being. Her work has led to over 60 refereed publications and significant academic outreach through workshops, hackathons, and summer schools. The available publications suggest a strong trend in interdisciplinary AI applications, particularly focusing on behavioral modeling, mental health support, data privacy, and emerging technologies like quantum cryptography. Her research consistently emphasizes ethical implications and robust security frameworks in computing systems. Alia El Bolock has been instrumental in establishing research groups in character computing, applied machine learning, and human-computer interaction. She has organized numerous academic events including workshops and seminars on AI, privacy, quantum computing, and women in computing, demonstrating leadership and community engagement. She has taught courses in cryptography, information security, discrete mathematics, computing fundamentals, and research methodology. Prior to AUC, she was a lecturer at the German International University (2021–2023) and an assistant lecturer at the Faculty of Media Engineering and Technology, German University in Cairo (2013–2021).