SCI 2025

One volume of SCI 2024 already published online by Springer and other two volumes are being processed by them.
Conference Program Agenda (Day-1 and Day-2) - CLICK HERE

7th International Conference on
Smart Computing and Informatics

Theme: Towards Achieving Sustainable Development
Goals Harnessing the Power of AI.

SCI - 2025

April 8-9, 2025

Organized by
Sunway University, Kuala Lumpur – Malaysia

LNNS (Approved)
SCOPUS Indexed

LNNS (Approved)
SCOPUS Indexed

SPEAKERS

Aninda Bose

Aninda Bose is presently working as Executive Editor with Springer Nature. Mr. Bose is part of the Global Acquisition Team and operates from Springer Nature London office. He is responsible for acquisition of scientific content across the globe, especially in Interdisciplinary Applied Sciences. His portfolio includes monographs, edited volumes, professional books, textbooks, atlases and conference proceedings. He has more than 30 years of industrial experience in marketing, editorial and different fields of publishing. Mr. Bose has completed master’s degree in Organic Chemistry from Delhi University and in Marketing Research from Symbiosis Institute of Management Studies, Pune, India. He has delivered more than 265 invited talks on Scientific Writing and Publishing Ethics in reputed Universities and Author Workshops. He has been awarded the “Editorial Excellence Award” by University of Engineering and Management, Kolkata in 2024 in recognition of his distinguished work in publishing. Mr. Bose has travelled 28 countries and delivered several keynote lectures in international conferences. He has published books for secondary level in Chemistry and is a member of American Chemical Society, USA.

Title:
Elements of Scientific Publishing

The importance of research publishing can be defined by a simple quote of Gerard Piel, which says “Without publication, science is dead.” The first scientific journal was published in 1665 and we have travelled 360 years since then. In the last two decades, research and reporting of research have undergone revolutionary changes. Computerization and Internet have changed the traditional ways of reading and writing. Hence, it is very important for researchers in all disciplines to understand the complete process of writing and publishing of research paper in good journals and comprehend the process of academic book publishing. There is also a downside of digital publishing. The principal challenge for publishers is to handle ethical issues and it is of utmost importance for the authors to understand the ethical practices involved in the process. The talk is designed to provide information on different elements of publishing and on how to make use of various author services for the publishing work.

Adeel Razi

Adeel Razi is a Professor of Computational Neuroscience at the Monash School of Psychological Sciences, Australia, affiliated with the Turner Institute for Brain and Mental Health and Monash AI Institute. He leads a cross-disciplinary lab combining engineering, physics, and machine learning to answer questions that are motivated by and grounded in neurobiology. Adeel specializes in statistical methods for neuroimaging, with a focus on state-space modeling, Bayesian statistics, and dynamic causal modeling, particularly for resting-state fMRI. His research advances neuroscience-inspired AI (NeuroAI), brain disease treatments, and neuro-technologies. His work has been published in leading journals, including Nature Human Behaviour, Nature Mental Health, Nature Reviews Neuroscience, Neuron, and Nature Communications, and featured in major media outlets like the BBC, CNN, and The Age. Adeel joined Monash after postdoctoral studies at UCL and holds degrees in Electrical and Communications Engineering from Pakistan, Germany, and Australia.

Title:
NeuroAI: Bridging Neuroscience and Artificial Intelligence to Uncover the Principles of Learning and Intelligence

Abstract:
The intersection of neuroscience and artificial intelligence (AI) is giving rise to an exciting new field: NeuroAI. This discipline seeks to uncover universal principles of intelligence by exploring the convergence between biological and artificial systems. By integrating neural data, theoretical frameworks, and innovative computational methods, NeuroAI aims to deepen our understanding of natural intelligence and inspire transformative advances in AI. Drawing from foundational concepts in cybernetics, NeuroAI also explores how feedback, adaptation, and control can enhance the development of intelligent and learning systems.

In this lecture, I will highlight key themes, including energy-efficient computing and embodied neural networks through a working example of DishBrain –- a world’s first demonstration of a biological computing platform. By drawing from these advancements, I will outline how NeuroAI could lead to transformative technologies and foster a deeper understanding of intelligence across all domains. Join me to explore this exciting journey at the nexus of biology and computation.

Dr. Mansoor Ebrahim

Engr. Prof. Dr. Mansoor Ebrahim received his MSc in Telecommunication and Networks from Queen Mary, University of London, UK, and earned his Ph.D. in Computing from Sunway University, Malaysia. He is currently serving as the Professor and Head of the Department of Computer Science at Iqra University, Pakistan. With more than 15 years of academic and research experience, Dr. Ebrahim’s expertise spans computer vision, image and video analysis, compression, optimization, image cryptography, and IoT applications. He has authored over 50 peer-reviewed international journal and conference publications and has served as a technical reviewer for renowned international journals and conferences. Dr. Ebrahim has held key positions globally, including working as a Mentor and Instructor at academic institutions in the UK and as a Research Associate for the Ministry of Science, Technology, and Innovation (MOSTI) in Malaysia. In addition to his teaching and research roles, he serves as an external supervisor for postgraduate students at international universities and actively contributes to collaborative research projects. Dr. Ebrahim is a recipient of multiple research grants, including projects on AI-based body sensor networks, smart farming systems, and energy-efficient security algorithms. His leadership in these projects has significantly contributed to technological advancements in healthcare, agriculture, and network security. Beyond his scholarly contributions, Dr. Ebrahim has conducted numerous workshops and tutorials and has represented Iqra University at various professional conferences and seminars as keynote speaker, further showcasing his dedication to professional development and international collaboration.

Dr. Muslim Jameel Syed

Dr. Muslim Jameel Syed is a Lecturer at Atlantic Technological University, Galway, specializing in Responsible AI, Technology, and Law. He leads the Responsible AI and Digital Excellence (AIDEX) Research Cluster and is a member of the DICE and RegTech Superclusters. A recognized expert in ethical AI and regulatory compliance, he has served as a U.S. court expert witness on AI, digital twins, and IP disputes and evaluated AI-driven startups for the Cyprus Ministry of Finance. He actively contributes to global AI governance through keynotes, high-impact research, and EU-funded projects, supervising one postdoc and eight PhD students. His work focuses on sustainable AI, cross-border compliance, and ethical AI-driven innovation.

Title:
Cross-Border responsible AI Compliance for Global Innovation

As AI adoption accelerates worldwide, ensuring compliance with cross-border regulations is crucial for fostering responsible innovation. This talk explores the challenges and opportunities in harmonizing AI governance across jurisdictions, including the EU AI Act, GDPR, U.S. AI policies, China’s AI regulations and Malaysia. Key focus areas include data sovereignty, privacy, and ethical AI deployment for SMEs in for promoting diverse application areas such as medtech, finance, energy, tourism and other . By addressing jurisdictional conflicts and aligning compliance strategies, businesses can navigate regulatory complexities while focusing innovation and trust in AI-driven solutions.

HAZLINA BINTI SELAMAT

Title:
AI for Biodiversity Conservation

Biodiversity conservation is at a critical juncture, requiring innovative solutions to safeguard fragile ecosystems. Artificial Intelligence (AI) presents a transformative approach to overcoming traditional challenges in species identification and ecosystem monitoring. This keynote explores the integration of AI-driven computer vision techniques in biodiversity conservation, focusing on the digitization and automated classification of flora and fauna.

Through projects like ForestEye, InsectEye, and Plantify, AI has been leveraged to classify animal images from camera traps, identify insect species from archived specimens, and categorize plant species from herbarium collections. The application of AI in these areas addresses critical limitations such as the declining pool of taxonomic experts, time-intensive manual identification processes, and accessibility constraints in remote forest ecosystems.

This initiative demonstrates how AI can enhance conservation efforts by streamlining data collection, improving classification accuracy, and creating permanent digital records for future research. The collaboration between researchers, technologists, and conservationists enables AI-driven biodiversity conservation can be scaled for greater environmental impact. The future of biodiversity preservation lies in the synergy between cutting-edge technology and ecological stewardship, ensuring the sustainability of our planet’s natural heritage.

Saraswathy Shamini Gunasekaran

Ts, Phd, MBCS, FMIOASD, AMEI

Saraswathy Shamini Gunasekaran is an esteemed senior lecturer, and Director of the Institute of Informatics and Computing in Energy (IICE) at Universiti Tenaga Nasional (UNITEN), bringing over 20 years of expertise in academia, research, and innovation. Her contributions span key fields such as Artificial Intelligence, Smart Energy Systems, and Intelligent Digitalization, with a focus on applying these technologies to real-world challenges that benefit both Malaysia and the broader global community. Her leadership in pioneering research, curriculum development, and mentoring students has solidified her reputation as a vital contributor to national growth in digital and sustainable energy solutions. In her role as a research leader, Dr. Shamini has driven significant projects that align with national priorities in sustainable development and technological advancement. She spearheaded the Predictive Analytics Model for Proactive Resource Planning, an advanced analytics system developed in collaboration with UNITEN, aimed at optimizing resource allocation and enhancing decision-making in energy management—a project that has influenced resource efficiency on a national scale. Additionally, she contributed to a high-impact project on Risk Assessment for Digital Image Correlation in Tunnel Monitoring, which enhances the stability and safety of infrastructure critical to Malaysia’s urban and rural development, furthering resilience in the face of climate challenges. Her expertise in data analytics and AI has also been instrumental in projects such as Data Mining for Customer Default Prediction for Tenaga Nasional Berhad (TNB), a project that leveraged machine learning to predict customer payment behaviors, thus supporting Malaysia’s national energy provider in achieving improved operational efficiency and customer service. Dr. Shamini has also led initiatives focused on advancing educational tools, including a project on Creative Experience Through Graphical Media Tools, aimed at enhancing digital engagement and media literacy among students, reflecting her commitment to advancing Malaysia’s educational standards and digital readiness. As a subject matter expert for the Smart University Initiative in Melaka, Dr. Shamini has been actively involved in shaping the strategic direction for Melaka’s transformation into a digital learning hub. Working with Melaka ICT Holdings, she has contributed to the development of the Melaka Edu Leader program, bringing her expertise in smart education to design innovative solutions for digital learning, resource management, and enhanced student engagement. This role underscores her commitment to applying intelligent digitalization to enrich Malaysia’s educational landscape, ensuring that universities remain relevant and impactful in an increasingly digital world.In her current role as Chairman overseeing the Eco-Labeling Policy for Data Centers for SIRIM, Dr. Shamini leads efforts to establish national standards for sustainable data center operations. This eco-labeling initiative aims to reduce environmental impacts, improve energy efficiency, and promote sustainable practices within the technology sector. Her leadership in this capacity reflects her dedication to advancing Malaysia’s environmental goals by guiding the creation of green policies that align with international standards, ensuring that data centers adopt practices that are both technologically advanced and ecologically responsible. Dr. Shamini has also been an active voice in public discourse on climate change and smart city development through several newspaper publications. Her articles, such as “Mitigating Climate Change: Let’s Build Smart Cities” (published on June 28, 2023, across MalaysiaKini, Life News Agency, and ASEAN News Today), and “Smart Cities = Cooler Climate” in The Star on June 30, 2023, advocate for the integration of sustainable and intelligent solutions to address urban climate challenges. Additionally, her piece “Keeping Cool with Smart Cities” appeared in The New Straits Times on July 1, 2023, followed by “Smart Cities Could Well Be Our Chance in Tackling Climate Change” on Apa Khabar TV? on July 2, 2023. These publications underscore her commitment to raising awareness and inspiring action on climate resilience and smart infrastructure.

Title:

The Convergence of Smart Computing and Energy Informatics for a Sustainable Future

The rapid advancements in smart computing and informatics are reshaping industries, accelerating digital transformation, and driving sustainability efforts. As artificial intelligence (AI), the Internet of Things (IoT), and data-driven decision-making become more sophisticated, they are unlocking new possibilities in energy informatics, smart grids, and renewable energy management. This keynote explores how the convergence of AI, edge computing, and intelligent automation is revolutionizing energy systems, optimizing resource utilization, and enhancing resilience against climate challenges.

A key focus is the role of AI-powered energy informatics in shaping self-healing grids, carbon reduction strategies, and smart infrastructure. As digital transformation deepens, organizations must embrace AI-driven leadership, ethical governance, and sustainable computing to navigate challenges such as data privacy, cybersecurity, and AI bias.

This talk will present emerging trends, real-world applications, and future trajectories for integrating smart computing with sustainability initiatives. By aligning technology with environmental and economic goals, we can foster a sustainable, intelligent, and data-driven future. The session will highlight key research insights, case studies, and innovative frameworks that can empower industries to leverage AI for a greener, more efficient world.

Keywords: Smart Computing, Energy Informatics, AI, IoT, Sustainable Computing, Smart Grids, Digital Leadership.