كتابة النص: الأستاذ الدكتور يوسف أبو العدوس - جامعة جرش قراءة النص: الدكتور أحمد أبو دلو - جامعة اليرموك مونتاج وإخراج : الدكتور محمد أبوشقير، حمزة الناطور، علي ميّاس تصوير : الأستاذ أحمد الصمادي الإشراف العام: الأستاذ الدكتور يوسف أبو العدوس
فيديو بمناسبة الإسراء والمعراج - إحتفال كلية الشريعة بجامعة جرش 2019 - 1440
فيديو بمناسبة ذكرى المولد النبوي الشريف- مونتاج وإخراج الدكتور محمد أبوشقير- كلية تكنولوجيا المعلومات
التميز في مجالات التعليم والبحث العلمي، وخدمة المجتمع، والارتقاء لمصاف الجامعات المرموقة محليا واقليميا وعالميا.
المساهمة في بناء مجتمع المعرفة وتطوره من خلال إيجاد بيئة جامعية، وشراكة مجتمعية محفزة للابداع، وحرية الفكر والتعبير، ومواكبة التطورات التقنية في مجال التعليم، ومن ثم رفد المجتمع بما يحتاجه من موارد بشرية مؤهلة وملائمة لاحتياجات سوق العمل.
تلتزم الجامعة بترسيخ القيم الجوهرية التالية: الإلتزام الإجتماعي والأخلاقي، الإنتماء،العدالة والمساواة، الإبداع، الجودة والتميّز، الشفافية والمحاسبة، الحرية المنظبطة والمستقبلية.
Dr. Mohammad Al-KasasbehProfessor of Mathematics | Educational Innovator | Founder of Math EdTech Lab & Math Cafe
Dr. Mohammad Al-Kasasbeh is a seasoned academic with a passion for advancing mathematics education through digital innovation. He holds a PhD in Mathematics from Universiti Kebangsaan Malaysia (2017), where his research focused on complex functions defined by new differential operators. His educational journey also includes a Master's degree in Mathematics from the same institution and a Bachelor's degree in Mathematics and Statistics from Mu'tah University in Jordan.
As a dedicated educator, Dr. Al-Kasasbeh has worked on various initiatives aimed at enhancing the learning experience for students, both in traditional and online environments. He is the founder of Math Cafe, an innovative platform designed to reduce math anxiety by teaching mathematics in an engaging and technology-driven way. The café approach has helped countless students gain confidence and improve their mathematical abilities in a relaxed, non-traditional setting.
In addition, Dr. Al-Kasasbeh established the Math EdTech Lab, where he focuses on equipping students with digital skills essential for the modern educational landscape. The lab offers training in digital content creation, asynchronous mathematics lessons, and entrepreneurial skills, empowering students to create their own job opportunities through educational technology projects.
Dr. Al-Kasasbeh is also an accredited higher education quality assessor for the Accreditation and Quality Assurance Commission for Higher Education (AQACHEI) and has played a pivotal role in aligning the qualifications of the Mathematics Department at Jerash University with Jordan’s National Qualifications Framework (NQF).
Committed to continuous learning, Dr. Al-Kasasbeh has developed expertise in various digital tools and platforms, including LaTeX, Mathematica, MATLAB, and Blender. He is also skilled in using Learning Management Systems (LMS) and platforms such as Zoom, Manim, and Premiere to create engaging online educational content.
Dr. Al-Kasasbeh's academic and entrepreneurial endeavors reflect his commitment to improving education, enhancing student employability, and contributing to the advancement of digital learning and teaching methods, especially in the field of mathematics.
(PhD of Mathematics -Universiti Kebangsaan Malaysia (Bangi-Malay
(Master of Mathematics-Universiti Kebangsaan Malaysia (Bangi-Malaysia
(Bachelor of Mathematics and Statistics-Mu'tah University (Karak-Jordan
Assistant Professor Jerash University, Jordan (2017 - Present) Taught core courses in mathematics-based artificial intelligence and machine learning:
Additionally, taught mathematical analysis courses:
Lecturer Al-Madinah International University, Shah Alam-Malaysia (2014) Taught the following courses to local and international students:
Trainer Education Experts Company, Saudi Arabia (2011 - 2013) Oversaw operations including:
General Lattice Theory Jerash University, Jordan (2017 - 2018)
Algebra and Analysis Universiti Putra Malaysia, Malaysia (May 2017)
Workshop on Geometric Function Theory Universiti Kebangsaan Malaysia, Malaysia (January 2015) By Prof. Derek Thomas (UK)
Geometric Function Theory Universiti Kebangsaan Malaysia, Malaysia (December 2013) By Prof. Danial Breaz (Romania)
Learning and Teaching Capacity-Building Workshop Focused on Developing Learning Objectives British Council, Jordan (November 2024)
Teacher Tech Summit T4, Middle East (May 2023)
When the Classroom Door Closed Karyma Mazruai, QRTA (March 2023)
Online Teaching and Learning in Jordan’s Higher Education Six workshops by the British Council, Jordan (February - March 2021):
Training Programme for STEM Early Career Academics in Jordanian Universities Three workshops by the British Council, Jordan (2019 - 2020):
Advanced Business English Course Maximal Knowledge, Jordan (2017 - 2018)
Emotional Intelligence at Work Edraak, Online Training (October 2017)
Active Training by Mathematics Edraak, Online Training (September 2017)
Rules of Active Training Education Experts Company, Al-Jouf University, Saudi Arabia (May 2013)
Creative Training Education Experts Company, Al-Jouf University, Saudi Arabia (May 2013)
Planning for Training Session Education Experts Company, Al-Jouf University, Saudi Arabia (May 2013)
Program on Mathematics Education Education Experts Company, Al-Jouf University, Saudi Arabia (March 2013) By Prof. Mark Soul (New York University, USA)
The 8th Arab Forum: The Role of Leadership in Achieving Institutional Excellence, Sustainability, and Economic Development in the Digital Era Hosted by the Amman Chamber of Commerce in Collaboration with the Arab Trainers Association (November 2024)
Head of Science Faculty Jerash University, Jordan (2022 - 2024) Managed all operations and mentored courses in mathematics, chemistry, and biology. Responsibilities included ensuring educational goals were met, compiling weekly reports, and supporting digital skills development for the team.
President of Toastmasters International Club (2023 - 2024)
Trainer Education Experts Company, Saudi Arabia (2011 - 2013) Oversaw operations
This paper introduces classes of uniformly geometric functions involving constructed differential operators by means of convolution. Basic properties of those classes are studied, namely, coefficient bounds and inclusion relations.
A subclasses of spiralike functions defined by a convoluted operator are introduced. Convolution properties, necessary and sufficient condition, and coefficient bounds of these subclasses are obtained.
Due to its importance in generalizing and preserving subclasses of univalent functions, differential and integral operators have aroused a great interest in the theory of geometric functions. However, little attention has been paid to construct differential operators that preserve subclasses of univalent functions in comparison with integral operators who on many occasions constructed to do so. This paper discusses constructing differential operators by means of convolution, linear combination, and composition and raises some open questions in the direction of constructing differential operators that map analytic functions into univalent ones. Also, this paper raises questions regarding subclasses of univalent functions that preserve the univalent property under convolutions and linear combinations
Due to importance of measuring the degree of resemblance, the similarity measure is widely adopted in various areas of the information systems (e.g., medical informatics and information retrieval) and in several applications like medical diagnostic, image processing, and pattern recognition. However, most of the existing similarity measures focus mainly on the degree of similarity without consulting expert(s) about the results. In this paper, an efficient tool for measuring similarity and agreement of objects that embeds experts’ opinions is proposed to assess similarity among features and agreement of opinions among experts. To obtain such robust measuring tool, three construction steps were followed. Firstly, adapting soft expert set as a general structure that consists of four components: objects, attributes, experts, and experts’ opinions. Secondly, representing the soft expert set, without losing stored information, in …
bstract. Job searching for the proper vacancy among several choices is one of the most important decision-making problems. The necessity of dealing with uncertainty in such real-world problems has been a long-term research challenge that has originated from different methodologies and theories. The main contribution of this work is to match the applicant curriculum vitae (CV) with the best available job opportunities based on certain criteria. The proposed job searching system (JSS) implements a series of approaches which can be broken down into segmentation, tokenization, part of speech, gazetteer, and fuzzy inference to extract and arrange the required data from the job announcements and CV. Moreover, this study designs a fuzzy parameterized structure to store such data as well as a measuring tool to calculate the degree of similarity between the job requirements and the applicant’s CV. In addition, this system analyses the computed similarity scores in order to get the optimal job opportunities for the job seeker in descending order. The performance evaluation of the proposed system shows high recall and precision percentages for the matching process. The results also confirm the viability of the JSS approach in handling the fuzziness that is associated with the problem of job searching.
By means of Gegenbauer polynomials, two subclasses of analytic and bi-univalent functions are introduced. Coefficient bounds and Fekete-Szegö inequalities for functions belong to these subclasses are obtained.
Al-Kaseasbeh, M. 2023. Distance Learning: Future visions. (Attendance).
Al-Kaseasbeh, M. 2021. The Tenth Conference on Scientific Research in Jordan (Attendance).
Al-Kaseasbeh, M. 2019. The Ninth Conference of Scientific Research in Jordan (Attendance).
Al-Kaseasbeh, M. 2019. On a Class of Harmonic Functions Defined by a Convolution Differential Operator. The 6th International Arab Conference on Mathematics and Computations, Zarqa University, Jordan.
Alamoush, A. and Al-Kaseasbeh, M. 2019. On the coefficient of The nthn^{th} Cesaro mean of order αlpha of bi-univalent functions. The 6th International Arab Conference on Mathematics and Computations, Zarqa University, Jordan.
Al-Kaseasbeh, M., Al-Kaseasbeh, S., Alksasbeh, M., and Abualigah, L. 2019. Inclusion and Convolution Properties for Certain Class Defined by Convoluted Differential Operator. The 3rd International Computer Sciences and Informatics Conference, Al-Ahliyya Amman University, Jordan.
Al-Kaseasbeh, M. and Darus, M. 2015. On subclass of analytic functions defined by generalised differential operator. American Institute of Physics Conference Series 1678(6):5-12.
Al-Kaseasbeh, M. and Darus, M. 2016. Complex functions involved composed differential operators, IRCESH2016. Organizing Committee.
الاحد و الاثنين
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