I recently had the honor of participating in Session 2 of the 2nd MEC National AI Symposium, held on October 21, 2024, at Middle East College, Muscat, Oman, where I presented on the topic "The Role of AI Engineering in Renewable Energy and Climate Change."
During the session, I explored how artificial intelligence is driving innovation in renewable energy and playing a pivotal role in shaping a sustainable future. The discussion focused on several critical areas:
I recently had the pleasure of presenting a seminar titled "From Artificial Intelligence Concepts to Industry Solutions: Real-World Applications" at the American University of Sulaimani (AUIS). It was an incredible opportunity to dive deep into the transformative power of AI and its practical implications across various industries.
In the seminar, I covered a range of topics designed to bridge theoretical AI concepts with real-world implementation:
On October 24, 2024, I had the privilege of delivering an international workshop titled “Making Business Easier with AI: What You Need to Know” at the Computer Engineering Department of TIU. This event attracted a diverse audience of academics, students, and local business owners, all eager to explore how artificial intelligence (AI) can revolutionize business practices.
The workshop centered on the transformative power of AI in modern industries, showcasing real-world applications that drive innovation, improve efficiency, and enhance decision-making. From manufacturing to energy, AI is reshaping the industrial landscape, and I focused on providing attendees with actionable insights into how they can leverage these technologies effectively.
Key Takeaways from the Workshop:
The session was enriched with case studies and practical examples drawn from my academic research and collaborative projects with industry leaders. Participants left with a deeper understanding of AI’s potential and the knowledge needed to integrate these advancements into their business operations.
Why Trustworthy AI Matters
A significant focus of my presentation was on trustworthy AI, emphasizing that AI technologies must be deployed ethically and transparently. Businesses today need solutions that not only solve problems but also build trust with customers and stakeholders—a vision I am deeply committed to promoting through my research and engagements.
On October 31, Swedsoft invites you to webinar on how you maximize the impact of ML systems with speaker Bestoun S. Ahmed | M.Sc., Ph.D. Professor in Software Engineering, Department of Mathematics and Computer Science, Karlstad Universitet.
Attendees of this Talk will be introduced to the latest developments and the challenges within these intersecting domains. This research-centric perspective will cover these fields’ current state-of-the-art practices and innovations. The talk will explore the transformative potential of synergizing MLOps, DataOps, Data Quality, and Software Engineering, focusing on enhancing the life cycle of machine learning systems across industry and academia. It emphasizes the critical role played by collaborative efforts between data scientists and software engineers in creating a robust MLOps pipeline, heightening the quality assurance aspect, and optimizing ML systems’ development, deployment, and long-term maintenance.
This talk is for researchers seeking a deeper understanding of the complex interplay between these domains. Data scientists and engineers will also find valuable insights into how these research-driven advancements can seamlessly integrate into their workflows, ultimately improving outcomes and efficiency.
Throughout the talk, attendees will be able to explore real-world case studies and practical solutions derived from collaborative projects spanning academia and industry. By the end, they will be well-equipped to know the power of research-driven approaches for maximizing the impact of ML systems and driving innovation in MLOps, DataOps, Data Quality, and Software Engineering.
Recently, we’ve seen AI used for a plethora of use cases. But is it already mature enough for real-time industrial applications? Can it work under tight time constraints in large IoT applications? In this talk, the team from Karlstad University, led by Professor Anna Brunstrom, will introduce their research on a holistic AI-driven framework for reliable data-driven real-time industrial IoT applications. Red Hatters and project participants Simone Ferlin-Reiter, Senior Performance Engineer, and Toke Høiland-Jørgensen, Principal Engineer, will lead the conversation.
Abstract
Ongoing efforts in digitalization are leveraging the development of Internet-connected smart sensors and the processing capabilities of cloud and edge based systems. Such processing requires trustworthy data gathering and machine learning (ML) algorithms in order to improve production processes, predict machine failures, etc. These algorithms need to be integrated with networked real-time decision systems in order to react under tight timing constraints. Such integration requires frameworks that flexibly integrate and program networking and computing infrastructures, while allowing ML pipelines to ingest collected data and make trustworthy decisions in real time.
In this talk, we present AIDA – a novel holistic AI-driven network and processing framework for reliable data-driven real-time industrial IoT applications. The AIDA architecture aims to integrate three pillars required to enable reliable industrial IoT applications: (1) a converged real-time network infrastructure, which supports flexibility and dynamic reconfiguration using a software-defined approach for Time-Sensitive Network (TSN) configuration management; (2) an industrial edge–cloud continuum that integrates flexible observability components using data-driven algorithms; and (3) agile and trustworthy ML/AI algorithms that are embedded in the real-time industrial data stream processing infrastructure deployed in the edge/cloud continuum. We provide an overview of the AIDA architecture and its key building block and take a closer look at its distributed observability framework and ML pipeline.
The AIDA framework is developed within a research project run by Karlstad University in collaboration with six industry partners, including Red Hat. The project is funded by the Knowledge Foundation of Sweden.
See the Red Hat Research project page for AIDA – A holistic AI-Driven networking and processing framework for Industrial IoT
Speakers
Anna Brunstrom, Professor, Karlstad University
Muhammad Usman, Associate Senior Lecturer, Karlstad University
Bestoun Ahmed, Professor, Karlstad University
Conversation Leaders
Simone Ferlin-Reiter, Senior Performance Engineer, Red Hat
Toke Høiland-Jørgensen, Principal Engineer, Red Hat
The recording and materials will be available following the talk. Learn more about Red Hat Research Days Events and watch the recordings from previous events at research.redhat.com/research-talks
AIDA: A holistic AI-driven networking and processing framework for industrial IoT applications
This talk will provide a research-focused perspective on MLOPS, DataOps, Data Quality, and Software Engineering synergy. Attendees will gain insights into the latest developments and challenges in these fields from a research perspective and learn about the current state-of-the-art in these areas. The talk will explore how these fields can be integrated to improve the development, deployment, and maintenance of machine learning systems in industry and academia. The talk will highlight the importance of collaboration between data scientists and software engineers and how to establish an MLOPS pipeline from the software engineering and quality assurance perspective. The talk will interest researchers, data scientists, engineers, and anyone interested in learning about the latest research and advancements in these areas and how they can be applied to improve their workflows and outcomes. Several case studies and solutions will be presented from industry-academia collaborations projects.
Bestoun S. Ahmed, Ph.D., is an associate professor at Karlstad University and an excellent researcher at the Czech Technical University in Prague. He spent several years researching abroad in many international institutes and collaborating with many industrial partners. He has a strong background in software engineering, artificial intelligence, machine learning, and AI Engineering. He has published several papers in leading journals and conferences in his field and has significantly contributed to developing new algorithms and techniques for solving complex problems. His current research focuses on software engineering for AI solutions and quality assurance in data-driven systems. He is also interested in applying MLOPs on the industrial scale and ensuring high data quality using software engineering concepts.
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An Interview with E15 news economic journal, Czech Republic. The interview in Czech. Bellow is the English translation, the original interview can be found here.
He studied in Iraq and Malaysia and worked as a researcher in Switzerland. He has been living and working in Prague since this year. Testing and artificial intelligence expert engagement at CTU, sponsored by Red Hat.
It is the interconnection of academia and industry that Ahmed highlights as a European plus. According to this software engineer, the collaboration of scientists and business with the advent of robots and artificial intelligence will be inevitable.
I was looking for an established research institution, the main focus of the Department of Computers is artificial intelligence and its combination with software engineering. That’s what intrigued me. Three rounds of the competition followed, and fortunately, I was chosen.
It is not so much whether it offers more. At CTU, however, the field is developing in a new direction, which gives me many opportunities.
We have more projects, but first, we try to create a large research group focused on software engineering and artificial intelligence. We are starting to work with a similar group from Sweden and Malaysia.
For this reason, we cooperate with Red Hat, which in partnership with CTU contributes to my salary. Unfortunately, I cannot be more specific because we are at the beginning of development, but in general, we are talking about developing test methods for industry. This is not new in itself, but the use of artificial intelligence to participate in the testing and development of new methods is new. Red Hat has a special laboratory at CTU and I was invited to use my knowledge and algorithms for their own project in the field of the Internet of Things. Together, we are trying to develop new testing strategies.
As long as I was single, there was no problem. But with family life, the situation began to change. Moving to the Czech Republic is the first case when my family moves with me. In any case, we have already settled here within three months.
This is not a specific feature of the Czech Republic and my situation. This is how the rules of European countries generally work in this crazy world full of problems. I accept that at least everything is clear and legible, even though the handling took two months. However, the situation would, in my view, benefit from a better selection of visa applicants, such as distinguishing between scientists and other applicants.
Such selection is in progress in the Czech Republic and everything goes quickly, but only if you are single and come without a family. As a scientist, you are transparent, have a history of publishing, no trouble finding information about such a person. Problems also arise for local employers when they unnecessarily wait up to a quarter of a year for their workers to obtain a visa. But I repeat that the Czech Republic is no negative exception. I have encountered even more protracted procedures in Switzerland. There they lasted three and a half months.
There was no delay in my work visa. One comes as a tourist, normally works, and in the meantime, the university will obtain the appropriate permits. Also, it is not immediately, it takes about two months, but you can at least start working immediately.
All of them are already in the research. In Switzerland and the Czech Republic, however, the system requires scientists to cooperate much closer with industry than in Malaysia; they cannot rely solely on state grants. In general, I think the European approach is better because it forces them to cooperate with others and apply knowledge. It’s not just basic research.
The academic environment suits me, I have much more freedom in it. I also like working with industry, but working full-time wouldn’t be appealing to me there. After all, the industry requires some routine, I enjoy research and discovery. Yes, I also work within one particular field and focus, but the new test methods are so diverse and dynamic that the routine is not much threatened.
I’m not exactly an example user of the Internet of Things, but the fact is that no one will escape it anyway. I and my colleagues can only try to improve it by exemplary testing. We don’t care about transforming it, but once someone develops another aspect of it, we want to be able to test the quality of this app. Privacy and security are now a big question of the Internet of Things. When a company manufactures a device, we want to make it work seamlessly within the established system. That’s what we’re trying to do.
I am here for a short time, but we publish in prestigious magazines about our methods, put together a proper team and even try to implement some solutions. There are no generally applicable rules and certain procedures for achieving a quality Internet of Things. We would, therefore, like to propose such rules, including restrictions and restrictions. Businesses can get too much data about everyone through their household devices. Privacy is our main concern.
Robotics is not entirely my field, in any case, the possibilities of using artificial intelligence are not clear and simple. When you want to deploy such highly advanced technology, nobody has many ideas of its potential and limits. Clear rules should, therefore, be defined for its use. The big question is to build these restrictions directly into robots. I just don’t know who will guard and determine it – the government?
This is a good question, therefore, testing is not a static, but a very dynamic area that changes with technology. Every instrument and every algorithm needs to be tested and we still have no universal approach. On the contrary, we must be prepared for the emergence of completely new situations. Maybe ten years ago there were no procedures for testing mobile applications. After all, they are completely different from those of standard computer systems.
We see it in movies, but I’m not afraid. In addition, we are scientists, a number of limitations and rules prevent us from conducting unpredictable experiments.
This part of the country avoided the immediate consequences of the war, so it was not such a problem. I was lucky about that. Moreover, I believe that the Iraqi education system remains relatively good and provides a solid foundation.
18 May 2016
Manno
Bestoun S. Ahmed is one of the foreign researchers who won the Swiss Government Excellence Scholarship 2015/2016; he is now spending one year at IDSIA working with Luca Maria Gambardella on his postdoc. focusing on search-based Software engineering.
My name is Bestoun S. Ahmed, I’m a Kurdish from the North part of Iraq. After graduation in the university with good marks, I applied for the postgraduate fellowship opportunity in University Putra Malaysia – Malaysia. The achievement of this opportunity gives me a chance to finish my master’s study.
After finishing my master’s study, I decide to do not make a delay and continue with my Ph.D. degree. I got a Ph.D. fellowship position in the University Sains Malaysia – Malaysia in the field of software engineering. With my supervisor, we discovered new ideas and new methods for testing by adopting the optimization, artificial intelligent and soft computing techniques to minimize the number of test cases for any software. This open’s new direction of research for me in a field called Search-based-software-engineering (SBSE). Then I took a lecturer position at the Salahaddin University – Erbil teaching in the college of engineering and also continued my research as the head of software engineering research group in the fields of Software Engineering, Software Testing, Optimization theories, combinatorial optimization, and artificial intelligence.
After spending three years as a lecturer and researcher, I found an advertisement about the Swiss Excellent scholarship on a group of postgraduate studies on Facebook. Actually it was the right time for me to think about the application for this program. First, because I was thinking to take some rest from lecturing and put more attention to my research and finish my postdoc position also. Second, it was the possibility to work with different resources and with expert researchers in the field of combinatorial optimization and artificial intelligence. In addition, I was always thinking to get some life experience from Europe and interact with more people to get more cultural experience. So I had a lot of reasons for applying!
The first regulation in the application was to find someone who can host me in his lab and become my supervisor. I thought it would be not so complicated to find it: I wrote a proposal on my research and start to search for possible supervisors in swiss universities without positive answers, as my approach, I discovered after coming to Switzerland, was very different in relation to the European approach. Cultural differences, also in small differences, could be sometimes a big hurdle. I decide then to conduct a deeper search for supervisors. In this stage, I searched for those organizations which have more international students and also for those supervisors who are more deeper working in the problem that I want to work in the research. I started to look and read the website carefully and also to look at the research groups and people inside those organizations. IDSIA fits perfectly with these criteria: the works of Prof. Dr. Luca Maria Gambardella are related to my research topic and IDSIA hosts many guest researchers. So I send Prof. Gambardella an email and he replied to me hopefully. After a short discussion about the situation and the research, he agreed to host me in IDSIA. I have put his name on the application and then I sent the whole documents to the Swiss embassy in Amman Jordan since there is no Swiss embassy in the Kurdistan region of Iraq. I have waited for more than ten months to get my offer letter.
The focus of my postdoc. research nowadays is Search-based Software Engineering (SBSE) in which how to use artificial intelligence and optimization methods in the field of software engineering. Currently, I’m focusing on the software product line (SPL) and how to derive test cases for it. To do so, the combinatorial interaction testing could be applicable and I’m trying to apply this testing technique for SPL. Of course, this is not without difficulties. Part of the difficulty is how to deal with the different constraints in SPL and how to automate them. In addition, how to automate this process to deal with different feature models. In addition to my supervisor, I’m collaborating with many research groups from Sweden, Australia, and Malaysia. So far, I have published two papers, one in an international conference in London and one in an international journal. In addition, I have three more papers under review and still, I’m working on a project with my supervisor in this direction.
I will stay here for almost one year. However, due to the delay in the visa and work permit process, I arrived here almost two months late. My experience at IDSIA was good as my experience in Switzerland, I enjoyed the food and nature a lot. People here are kind and they respect international researchers. However, I have to admit that it was not so easy to deal with the Swiss bureaucracy, embassies, and immigration offices. I have gone through a very long and painful process of checking and application for a visa for me and my family, which at the end didn’t move to Ticino. I am really thankful to the IDSIA administration staff who helped and supported me a lot from the beginning until now in many situations. Nevertheless, this program is a very enriching experience for my life and it affects my personality and the way of thinking also in addition to the research experience I got from IDSIA.
In the last 20 years, software has grown tremendously in terms of size and functionalities. Such growth had a strong influence as far as testing, and quality assurances are concerned. While traditional testing techniques are useful for fault detection and prevention, they may not be sufficient to ensure software conformance. The systems to be tested continue to change, starting from new applications for smart devices, configurable software systems, cloud services, internet-scale applications, IoT, systems of systems, machine learning, and data-driven systems. To this end, the testing tools and technologies are evolving very fast and there is a need for new testing strategies. This lecture gives an overview journey on what research activities we have done in this area so far and how we see testing in the context of software engineering. The lecture will show the recent testing approaches and the evolving technologies and trends on where we are going in the near future.
This talk is a Docent lecture to promote as associated professor.
Talk in DevConf.cz 2018 10th annual community conference for developers, by Red Hat. January 2018, Berno, Czech Republic
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