PhD (Artificial Intelligence), University of Lyon, France
ACMA (Research – Knowledge and Decision Making, A.I), University of Lyon, France
MSC (Computer Science), National University of Computer and Emerging Sciences
Research Interests
Software Engineering
Algorithms
Machine Learning
Deep Learning
System Designing
Project Management
Data Organization/Interpretation
Data Visualization & Communication
Computational Theory
Enterprise System Development
Statistical Analysis
Blockchain Management
Artificial Intelligence
Problem-Solving &
Technical Reporting Skills
Communication &
Biography
Qualified and accomplished software engineer with years of technical proficiency in managing databases, deep learning, system designing & development, data storage, machine learning & project management; possesses skills to enhance data solutions by gathering, cleaning and analyzing data with technical acumen in predicting trends & identifying patterns
Detail-oriented and talented professional with ability to design test plans and procedures, document software defects by utilizing tracking system, and implement corrective measures. Adept at identifying, recording, and statistically analyzing problems with program functions, while ensuring compliance with data security policies
Dynamic and active team player with skills to collaborate with engineers and team members and play role to achieve objectives. Possesses excellent written and verbal communication skills and analytical, problem-solving, and decision-making abilities; holds strong business sense to recommend better business strategies and help organizations in dealing with business challenges.
Publications
Consistency verification of learner profiles in adaptive serious games was presented at ECTEL 2016 in Lyon, France by A. M. Hussaan and Karim Sehaba.
A conceptual model to incorporate serious games mechanics in intelligent tutoring systems was discussed at ECGBL 2015 by Hina Mukhtar and A. M. Hussaan.
The GOALS (Generator of Adaptive Learning Scenarios) project was presented at ICT Asia 2015 in Los Baños, Laguna, Philippines by SEARCA.
An improved intrusion detection approach using synthetic minority over-sampling technique and deep belief network was proposed by SH Adil, SSA Ali, K Raza, and AM Hussaan at SOMET 265.
Learn and evolve the domain model in intelligent tutoring systems was the topic of discussion at CSEDU 2014.
Hybridization of multiple intelligent schemes to solve the economic lot scheduling problem using the basic period approach was presented by SH Adil, SSA Ali, A Hussaan, and K Raza in the Life Sci J.
The GOALS platform for the generation of adaptive pedagogical scenarios was featured in the International Journal of Learning Technologies in October 2013.
An adaptive serious game for the rehabilitation of persons with cognitive disabilities was presented at the 2013 IEEE 13th International Conference on Advanced Learning Technologies.
K. Sehaba and A.M. Hussaan developed an adaptive serious game for the re-education of cognitive disorders, which was published in AMSE Journals.
The Generator of Adaptive Learning Scenarios (GALS) was designed and evaluated in the CLES project by A.M. Hussaan and K. Sehaba at the 7th European Conference on Technology Enhanced Learning (EC-TEL 2012).
Jeux sérieux adaptatifs pour la rééducation des troubles cognitifs was a paper presented by K. Sehaba and A.M. Hussaan at Handicap 2012.
The papers presented at ECTEL 2016 and ECGBL 2015 focused on incorporating serious games mechanics into adaptive learning systems.
The GOALS project aimed to generate adaptive learning scenarios and was presented at ICT Asia 2015.
The improved intrusion detection approach proposed by SH Adil, SSA Ali, K Raza, and AM Hussaan utilized synthetic minority over-sampling technique and deep belief network.
