2023-2024 Semester 2 (452)

23 JAN - 24

Collaborative Recommender Systems: Similarity Computation and Learning

12:00pm – 1:00pm

Recommender systems proactively recommend relevant items to users. When appropriate. “Proactively” means the items just show up — users don’t need to search for them or even be aware of their existence. “Relevant” means users tend to engage with them when they show up. What exactly “engage with them” means depends on the context. For movies, engage might mean watch; for products buy. “When appropriate” is key, this is also where “intelligence” comes in.

B13 Room: 1-2-72

Dr. Mohammed Yahya AlShamri, Associate Professor, Computer Engineering

30 JAN - 24

Signals and Images PROCESSING: Information Systems for serious pathologies' Exploring

12:00pm – 1:00pm

Signal processing is a broad engineering discipline that is concerned with extracting, manipulating, and storing information embedded in complex signals and images. Methods of signal processing include: data compression; analog-to-digital conversion; signal and image reconstruction/restoration; adaptive filtering; distributed sensing and processing; and automated pattern analysis. 

B13 Room: 1-2-72

Prof. Ahmed ElMokhtar Ben Hmida, Professor, Informatics and Computer Systems

06 FEB - 24

Fuzzy analytical hierarchy process (Fuzzy AHP) and full consistency method (FUCOM)

12:00pm – 1:00pm

The research presents a fuzzy analytical hierarchy process (Fuzzy AHP) and full consistency method (FUCOM) to rank the relative importance of factors (set of variable) and their dimensions in any domain of interest.

B13 Room: 1-2-72

 Dr. Naim Ahmad, Assistant Professor, Informatics and Computer Systems

13 FEB - 24

Deep Learning Basics - Exploring Medical Data Analytics

12:00pm – 1:00pm

Despite a recent wealth of data and information, the healthcare sector is lacking in actionable knowledge. The healthcare industry faces challenges in essential areas such as electronic record management, data integration, and computer-aided diagnoses and disease predictions. It is necessary to reduce healthcare costs and the movement towards personalized healthcare.

B13 Room: 1-2-72

 Dr. Anandhavalli Muniasamy, Associate Professor, Informatics and Computer Systems

20 FEB - 24

On the Performance of Cooperative IoT Using NOMA with Indoor-Outdoor Device Deployment

12:00pm – 1:00pm

This work studies applying power-domain downlink on-orthogonal multiple accesses (NOMA) to connect devices in urban environments to nearby Internet of Things (IoT). Therefore, attenuation caused by walls and other obstacles is exploited to treat indoor devices akin to far users in conventional NOMA.

B13 Room: 1-2-72

 Dr. Adel Alqahtani, Assistant Professor, Computer Engineering

05 MAR - 24

Differential Space-Time Block Code based High Performance MIMO Channel

12:00pm – 1:00pm

New multilevel differential  model is  introduced in generalized MIMO channel encoder through a new trellis Markovian feedback and decoded by a specific 64 state Viterbi algorithm is providing effective 3db of Signal to Noise Ratio improvement

B13 Room: 1-2-72

Dr. Slaheddine Jarboui, Associate Professor, Computer Engineering

16 APR - 24

Future Cities and the Role of Technology

12:00pm – 1:00pm

Smart cities put data and digital technology to work to make better decisions and improve the quality of life. More comprehensive, real-time data gives agencies the ability to watch events as they unfold, understand how demand patterns are changing, and respond with faster and lower-cost solutions

B13 Room: 1-2-72

Dr. Abdulaziz Almaleh, Assistant Professor, Informatics and Computer Systems

23 APR - 24

Epistemology of Negative Selection Algorithm and its Applications

12:00pm – 1:00pm

Within the Artificial Immune System community, the most widely implemented algorithm is the Negative Selection Algorithm. Its performance rest solely on the interaction between the detector generation algorithm and matching technique adopted for use. Relying on the type of data representation, either for strings or real-valued, the proper detection algorithm must be assigned. 

B13 Room: 1-2-72

Dr. Dr. Ayodele Lasisi, Assistant Professor, Computer Science

01 MAY - 24

Artificial Intelligence - Powered Cybersecurity

12:00pm – 1:00pm

AI-powered solutions can sift through vast amounts of data to identify abnormal behavior and detect malicious activity, such as a new zero-day attack. AI can also automate many security processes, such as patch management, making staying on top of your cyber security needs easier.

B13 Room: 1-2-72

Dr. Hamed Saleh Alqahtani, Assistant Professor, Informatics and Computer Systems

07 MAY - 24

TBA

12:00pm – 1:00pm

TBA

B13 Room: 1-2-72

 Dr. , TBA

2023-2024 Semester 1 (451)

17 OCT - 23

GREEN COMPUTING

12:00pm – 1:00pm

Green computing, or sustainable computing, is the practice of maximizing energy efficiency and minimizing environmental impact in the ways computer chips, systems and software are designed and used.

B13 Room: 1-2-72

Dr. Hashim Elshafie, Assistant Professor, Computer Engineering

24 OCT – 23

SmartISM: The Interpretive Structural Modeling

12:00pm – 1:00pm

ISM is being applied in many areas including sustainability, supply chain and logistics, information technology, energy, human resource, marketing, and operations among others.

B13 Room: 1-2-72

Dr. Naim Ahmad, Assistant Professor, Information Systems

31 OCT - 23

Fourier Descriptors and SVM for Object Recognition 

12:00pm – 1:00pm

Fourier Descriptors with four cases, namely the COIL data-base, the AR and ORL data bases for human faces, and to a personal database of cellular phones. We have also made several tests of robustness with respect to lighting. and also compared, in this context, our Descriptors to other classical families of invariants, such as the Zernike moments.

B13 Room: 1-2-72

Prof. Mohamed Atri, Professor, Computer Engineering

07 NOV - 23

Generative AI and Future Applications

12:00pm – 1:00pm

Generative AI can create new product designs based on the analysis of current market trends, consumer preferences, and historic sales data. The AI model can generate multiple variations, allowing companies to shortlist the most appealing options

B13 Room: 1-2-72

Dr. Suhail Qadir, Assistant Professor, Information Systems

14 NOV - 23

Deep Learning for Audio Visual Emotion Recognition

12:00pm – 1:00pm

Human emotions can be presented in data with multiple modalities, e.g. video, audio and text. An automated system for emotion recognition needs to consider a number of challenging issues, including feature extraction, and dealing with variations and noise in data. Deep learning have been extensively used recently, offering excellent performance in emotion recognition.

B13 Room: 1-2-72

Prof. Monia Alouane, Professor, Computer Science

28 NOV – 23

Nature-Inspired Deep Learning Models for Solving Data Science Problems

12:00pm – 1:00pm

Deep learning is presently attracting extra ordinary attention from both the industry and the academia. The application of deep learning in computer vision has recently gain popularity. The optimization of deep learning models through nature inspired algorithms is a subject of debate in computer science

B13 Room: 1-2-72

Dr. Habib Rahman, Assistant Professor, Computer Science

05 DEC - 23

Edge Networks and Internet of Things

12:00pm – 1:00pm

The Internet-of-Things (IoT) edge is where sensors and devices communicate real-time data to a network. IoT edge computing solves latency issues associated with the cloud, as data is processed closer to its point of origin

B13 Room: 1-2-72

 Dr. Mohammed Al Marey, Assistant Professor, Information Systems