Prof. Dr Asadullah Shah

International Islamic University Malaysia

Prof. Dr. Noor Zaman

Taylor's University, Malaysia

In the rapidly evolving digital landscape, the rise of Generative Artificial Intelligence (GenAI) has introduced groundbreaking advancements alongside unprecedented cybersecurity challenges. While GenAI enhances automation, creativity, and efficiency, it also empowers malicious actors with sophisticated tools for deepfakes, phishing, automated malware, and adversarial attacks. This keynote address explores the dual-edged impact of GenAI on cybersecurity, highlighting critical issues such as AI-driven social engineering, data poisoning, and the manipulation of AI models. Additionally, it examines the challenges in detecting AI-generated threats, ensuring model integrity, and establishing robust regulatory frameworks. The discussion will also propose mitigation strategies, including AI-augmented defense mechanisms, ethical AI governance, and collaborative industry efforts to safeguard digital ecosystems. By addressing these challenges proactively, organizations can harness the benefits of GenAI while minimizing its risks, ensuring a secure and resilient future in the age of intelligent automation.

Dr Muhammad Mansoor Anwar

King Abdulaziz University, Jeddah, Saudi Arabia

Artificial Intelligence (AI) is no longer a distant concept in education - it is actively reshaping the way languages are taught and learned. In this plenary, we explore how AI technologies are moving language education from traditional, one-size-fits-all models toward personalized, adaptive, and learner-centered ecosystems.
AI-driven platforms offer instant feedback, tailor learning paths to individual need , and enable authentic, immersive experiences through conversational bots, intelligent tutors, and virtual environments. As AI takes over routine tasks, teachers are evolving into learning architects, creative mentors, and critical thinkers' coaches - focusing on skills that machines cannot replicate.
However, the rapid integration of AI also brings critical challenges: ensuring ethical use of learner data, avoiding algorithmic bias, and guaranteeing equitable access for all students. This session invites educators to view AI not as a replacement, but as a powerful partner that, when thoughtfully implemented, can make language learning more human, inclusive, and inspiring.
The future of language education with AI is not pre-written - it is a story we are coauthoring together.

Dr. Lucas Kohnke

The Education University of Hong Kong

As generative artificial intelligence (GenAI) becomes increasingly embedded in English language education, TESOL educators stand at a pivotal moment. We face both exciting opportunities and serious challenges in preparing pre-service and in-service teachers to engage with these technologies critically, ethically, and effectively (Kohnke et al., 2023a; Kohnke et al., 2023b; Moorhouse & Kohnke, 2024). Rather than relying on traditional, outdated methods, we must evolve to meet the demands of modern classrooms. The future of language education depends on our ability to cultivate essential new literacies-digital, ethical, and pedagogical-that allow teachers not only to use AI tools, but to do so thoughtfully and sustainably (Kohnke & Zou, 2025a; Kohnke & Zou, 2025b).
At the heart of this evolution lies an essential question: How can TESOL educators redefine their professional competencies in response to GenAI while maintaining the human-centered pedagogies that make language learning meaningful? The answer is not to chase every new tool or overhaul curricula with every technological advance. Instead, we must adopt sustainable strategies that integrate AI in ways that enhance, rather than overwhelm, our teaching practices (Moorhouse et al, 2024). By focusing on adaptability and critical engagement, we can ensure that language classrooms remain spaces where communication, creativity, and human connection are prioritized-even as we embrace the new possibilities that AI offers (Kohnke et al., 2025a, Kohnke et al., 2025b).
This presentation will offer practical strategies for preparing future-ready language educators and highlight key directions for future scholarship in this rapidly developing field. By leading the way in sustainable AI integration, TESOL educators can help shape classrooms that are technologically current yet fundamentally human at their core. The future of TESOL is not about AI replacing teachers; it is about empowering teachers to work alongside technology, using it to make language learning richer, more accessible, and more meaningful than ever before.

Dr Majid Buledi

King Abdulaziz University, Jeddah, Saudi Arabia

Artificial intelligence (AI) changes the way we live, learn, and work. While AI brings exciting new opportunities, it also introduces serious challenges, especially around fairness, safety, and privacy. It is important to prepare both students and professionals to not only use AI tools but to understand their risks and responsibilities. This presentation will explore how to build educational content/programs that focus on teaching the skills and mindset needed for responsible AI use.
We will look closely at key areas such as Generative AI, Explainable AI (XAI), Data Privacy, and Cybersecurity. Learners need to understand how AI creates content, how AI decisions can be explained, and how to protect personal information and secure AI systems. Critical thinking, ethical decision-making, and basic technical knowledge must be part of every AI learning journey.
Practical teaching methods will also be discussed, such as project-based learning, using real-world case studies, encouraging teamwork across different fields, and setting up discussions about ethical questions. These methods help students and professionals connect theory with practice and prepare for real challenges in the workplace.
The goal is to empower learners not just to use AI but to question it, guide it, and innovate with it safely and fairly. We must teach future AI users and leaders to think carefully about the impact of their work and to build systems that are transparent, fair, and secure. Preparing the next generation in this way is essential for building an AI-driven future that benefits everyone.

Rogeany Kanza

Harbin Institute of Technology, China

Prof. Dr. Imtiaz Ali Korejo

IMCS, University of Sindh

Prof. Dr. Pardeep Kumar

Quaid-e-Awam University of Engineering, Sciences & Technology, Nawabshah

The Internet of Things (IoT) is rapidly turning futuristic ideas from Sci-Fi movies into reality by connecting physical and virtual objects to the Internet. This evolution is shaping the future Internet and providing guidance on how 'smart things' can enhance business, information, and social processes, ultimately improving human life. Furthermore, Digital Twins, virtual replicas of physical data or systems, can work alongside IoT to monitor real-time behavior and address challenges promptly, benefiting businesses and consumers alike.
By utilizing data from IoT-enabled devices, digital twins can monitor the behavior and status of a system in real-time, enabling companies to promptly address potential challenges. This mutual relationship between digital twins and IoT enhances their effectiveness and hence are beneficial for both businesses and consumers.
The talk will begin by providing a comprehensive look at the evolution of computational technology throughout history. Following this, the introduction and challenges of IoT and Digital Twin will be thoroughly examined. The discussion will also delve into the distinctions between these two technologies and how they complement each other. Lastly, recommendations and future research directions will be explored.

Prof. Dr. Tariq Rahim Soomro

Institute of Business Management, Karachi

Prof. Dr. Shehnila Zardari

NED University of Engineering and Technology

Prof. Dr. Shahnawaz Talpur

Mehran University of Engineering and Technology, Jamshoro

In the dynamic realm of modern computer architecture, transcending the binary realm to explore the nuanced art and science behind it. As we stand at the height of a digital revival, architects play a pivotal role in defining the contours of our technological future. The session unravels the intricate dance between architectural choices and the ever-expanding possibilities of modern computing. From parallel processing to quantum leaps, we will examine how innovative architectural designs propel us into uncharted territories, shaping the very fabric of our digital existence. Join us for an enlightening journey that underscores the profound impact of architectural decisions on the trajectory of technology.

Prof. Dr. Kamran Khowaja

Isra University, Hyderabad

Artificial Intelligence (AI) is transforming the entire care continuum of autism spectrum disorder (ASD) from the earliest indications of risk to the provision of personalized interventions. The number of individualis diagnosed with ASD is increasing worldwide on a daily basis and affects millions of children and families around the globe, but timely diagnosis and access to specialized care remain significant challenges. The rapid change in the tools and technologies powered by AI can detect developmental differences in infants and toddlers through the subtle behavioral markers of gaze, speech prosody, and motor gestures, with a level of precision and efficacy previously unattainable. This remarkable feat is the result of advancements in machine learning, computer vision, and natural language processing. The first part of the talk will introduce the ASD, behaviors, and the use of technolgoies for their interventions in general.
The second part of the talk will focus on how AI can aid at the level of clinical decision-making. Deep learning models trained on multimodal datasets of genetics, neuroimaging, and clinician images have the potential to optimize the standardization of diagnoses, mitigate the influence of bias, and uncover camouflaged phenotypic subtypes.
The talk will end with the focus on newer intervention platforms that feature the use of serious games, augmented reality, virtual reality, or mixed reality environments, socially assistive robots, and adaptive AI technologies which foster constructive engagement, enhance emotional regulation, and socially-responsive learning. Tailored to each child's specific profile, these platforms facilitate dynamic customization and evolution of the learning experience.

Dr. Pir Suhail Ahmed Sarhandi

Aror University, Sukkur

In today's world, where digital innovation is rapidly changing how we live and learn, mobile explorative learning offers a powerful chance to transform education, especially in developing countries like Pakistan. This talk will delve into how mobile technologies can support inquiry-based, student-centered learning that goes beyond the traditional classroom setting. We'll look at how smartphones and mobile apps can create engaging, personalized learning experiences that encourage critical thinking and creativity. Yet, implementing these approaches in Pakistan comes with its own set of challenges, such as differences in infrastructure, a lack of teacher training, cultural resistance to new teaching methods, and economic barriers. By sharing recent case studies and research, this discussion will highlight both the exciting possibilities and the obstacles of mobile explorative learning. We'll propose practical strategies to help bridge the gap between digital tools and effective teaching in Pakistani schools. Ultimately, this talk aims to foster a conversation among educators, policymakers, and tech experts about how we can work together to build an inclusive and forward-thinking education system for all students.

Dr. Najma Imtiaz

IMCS, University of Sindh

Given the high volume of generative AI inference workloads, data centres currently account for about 1 - 1.5 % of global electricity consumption, mainly due to transformer based models responding to a billion queries a day. Electricity demand from AI engineered data warehouses is set to grow near double of what is projected by the end of 2030 which is at the same level as Japan's current national consumption. However, with this rapid growth, there is no common tool to predict the carbon footprint of inference for varied model architecture and hardware options.
Carbontracker and CodeCarbon integrate with real-time power consumption readings from their interactors and the metadata collected via the Eco2AI library is used to estimate carbon footprint from the Generative AI inference for individual units of work in real time. A dataset ofParameter count, sparsity ratio, throughput, energy per request (kWh), and CO2 emissions per request (kg) was inferred on instrumented codings of such LLMs as GPT-2, GPT-Neo, and BLOOM for various quantization levels, batch sizes, and hardware environments. Using this dataset, gradient boosted decision tree models (LightGBM) trained on the dataset generalize well, with R² > 0.9 and mean absolute error < 0.05 kWh per request on held out model - hardware pairs. Actionable per request forecasts of CO2 permit outcome dependant quantisation level and batching strategies to prevent from exceeding defined carbon budgets. They illustrate parts of the performance optimization and Green AI paradigm where the performance of carbon aware generative and AI deployments at scale can be optimized.

Dr. Muhammad Yaqoob Koondhar

Sindh Agriculture University, Tando Jam

The 21st century has given rise to innovative teaching and learning models, among which Pervasive Learning (P-Learning) has gained increasing prominence. Enabled by the decreasing cost of handheld devices, advancements in mobile technology, and the ubiquity of internet access, P-Learning surpasses traditional educational boundaries of time, place, media, and device dependence. It offers learners and educators the flexibility to access digital learning materials anytime, anywhere, with any device and in any medium, thereby supporting continuous, lifelong learning. The concept of P-Learning as a dynamic, technology-enhanced, and location-independent model of education. Unlike conventional learning environments confined to classrooms and schedules, P-Learning enables seamless integration of education into daily life through smartphones, tablets, and other connected devices. It facilitates not only formal teaching and learning but also informal, self-directed learning, supporting both synchronous and asynchronous engagement. Special emphasis is placed on the inclusive potential of P-Learning, particularly for individuals who face physical disabilities or geographic isolation. Through access to live-streamed and pre-recorded audio/video lectures, these learners can actively participate in academic experiences without requiring physical attendance. The study argues that P-Learning represents a critical shift toward more accessible, flexible, and equitable education in the digital age, making it a vital component of 21st-century learning frameworks.

Dr. Noor Ahmed Brohi

Begum Nusrat Bhutto Women University (BNBWU), Sukkur

The future of Human Resource Management is not just digital - it is intelligent. In this keynote, we journey into the powerful intersection where Artificial Intelligence meets human potential. AI is no longer a distant innovation; it is here, reshaping how we attract talent, nurture careers, foster diversity, and build workplaces where every individual can thrive. This session will illuminate how AI tools - from predictive hiring algorithms to intelligent learning platforms - are unlocking a new era of personalization, efficiency, and strategic foresight in HRM. But technology alone isn't enough. True transformation happens when we blend the power of AI with the irreplaceable strengths of empathy, creativity, and human connection. Together, we will explore real-world success stories, challenge myths, confront ethical dilemmas, and envision a future where AI doesn't replace HR professionals - it empowers them to become architects of thriving, inclusive, and resilient organizations. Let's step boldly into this new chapter - because the future of HR is not just smart, it's profoundly human.