Dr.Ling Shing Wong

Professor and Pro Vice-Chancellor, INTI International University , Nilai, Negri Sembilan, Malaysia

Prof. Ts. Dr. Wong Ling Shing graduated from the National University of Malaysia (UKM) in 2011 with a Ph.D. in Environmental Science. He is a passionate researcher with diverse interests, including biosensors, bioindicators, culturing photosynthetic microbes, and agricultural biomass. His extended his research initiatives into nanotechnology, health sciences, artificial intelligence, and renewable energy as well. Wong has spearheaded over 25 research projects and published more than 250 scientific articles. He won numerous awards, including medals at internationally recognized innovation competitions such as Malaysia Technology Expo (MTE) and International Technology Expo (ITEX). INTI International University recognized his contribution to the university with the Vice Chancellor Award and The Most Promising Young Researcher in 2016. Wong is currently the president of Einstein Research Academy, the Editor-in-Chief of INTI Journal, and a member of several professional bodies. He is also a certified Technologist (Ts.) by Malaysia Board of Technologists (MBOT). He is a strong advocate of achieving the Sustainable Development Goals (SDGs) via multidisciplinary research, and now he is leading INTI International University as Pro Vice-Chancellor for Research and Innovation.

Tan Foong Ping

Senior Manager at INTI International University & Colleges, Selangor, Malaysia

Tan Foong Ping is a Malaysian academic and administrator who serves as a Senior Manager and Research Manager at INTI International University & Colleges. She is highly active in forging international academic partnerships, special education advocacy, and qualitative research regarding multimedia integration and social media’s impact on mental health

Key Professional Details

• Current Role: Senior / Research Manager at INTI International University & Colleges
• Research Focus: Educational technology, sustainable development (SDG), special education, and the psychological effects of digital platforms (e.g., studying the negative impacts of excessive social media use on mental health

Professional Activities:

• Actively involved in organizing global conferences such as the Global Congress on Sustainable Growth and the International Conference on Education and Rehabilitation for Children with Autism.
• Engages in international academic delegations, including official visits to Nanjing Normal University of Special Education (China) and Yantai Nanshan University (China) to foster collaborative research and staff mobilit

Sai Krishna Gunda 

 Software Engineer, AI researcher, USA

Sai Krishna Gunda is a Software Engineer, AI researcher, and technology professional specializing in artificial intelligence, machine learning, software engineering, software reliability, cloud computing, and intelligent enterprise systems. His work bridges advanced research with real-world engineering practice, focusing on scalable, reliable, and AI-driven software solutions for modern digital ecosystems. He has contributed to research in AI-driven software defect prediction, machine learning-based fault diagnosis, hybrid deep learning architectures, ensemble learning, predictive analytics, intelligent automation, and software quality engineering. His scholarly work is published through reputed international conferences, journals, and edited research volumes. In his professional career, Mr. Gunda has worked on enterprise-scale software systems, backend microservices, RESTful APIs, distributed architectures, cloud-enabled platforms, CI/CD automation, and full-stack application development. He has also participated in academic and professional activities including peer reviewing and conference engagements within the software engineering and AI research community. His contributions to computer science, software engineering, and artificial intelligence include research awards, conference honors, patents, copyrights, and professional affiliations. These reflect his commitment to advancing intelligent technologies, improving software dependability, and connecting academic research with practical engineering impact.

Akhilesh Kumar Aleti

Independent Researcher | SAP EAM/Plant Maintenance Consultant

Akhilesh Kumar Aleti is an experienced SAP Enterprise Asset Management (EAM) and Plant Maintenance (PM) Consultant with over 12 years of experience in digital transformation, asset management, and enterprise solutions across manufacturing, chemicals, utilities, and automotive industries. He has worked extensively on SAP ECC and S/4HANA implementations, focusing on maintenance operations, technical object management, preventive maintenance, data migration, integrations, and process optimization.

He has contributed to multiple large-scale global implementations and has expertise in SAP PM/EAM, MES integrations, mobility solutions, and intelligent maintenance technologies. His interests include Industry 4.0, AI-driven asset management, IoT-enabled maintenance, and smart manufacturing solutions.

Akhilesh is actively involved in research and knowledge-sharing initiatives related to enterprise technologies, digital innovation, and intelligent systems.

Nilesh Mutyam 

Software Engineer , Oracle , USA

Nilesh Mutyam is a software engineer with experience building large-scale cloud and enterprise applications. He has worked with leading technology companies including Oracle, Amazon, Walmart, and PayPal, contributing to distributed systems, backend platforms, automation, and AI-driven solutions.

Currently, he works at Oracle, focusing on AI, cloud technologies, and database platforms. His areas of interest include Artificial Intelligence, Cloud Computing, Software Architecture, and Data Engineering. He is passionate about applying technology to solve real-world problems and enjoys sharing practical industry experiences with students and professionals.

Mr. Rethish Nair Rajendran

Senior IT Project & Delivery Manager | Emerging Tech Researcher

With over two decades of experience navigating the fast-evolving landscape of enterprise technology, Rethish Nair Rajendran has built a career at the intersection of large-scale execution and cutting-edge innovation. Whether stabilizing critical infrastructure for global banking giants or spearheading modernization efforts for state government, Rethish specializes in transforming complex tech theory into practical, impactful reality.

Currently, Rethish serves as a Technical Delivery Manager consulting directly with a state government IT department. Reporting to the Chief Technology Office, he leads Cloud and Emerging Technologies and Innovation projects. In this role, he steers high-stakes, nationally acclaimed IT programs that keep state executive agencies running efficiently and securely.  

Before taking on the challenges of the public sector, Rethish spent years mastering the complexities of global finance. As a Technical Delivery Manager at HSBC Bank (HDPI), he successfully orchestrated massive, multi-million-dollar programs spanning Asia, Canada, Europe, Latin America, and the United States.

Bridging the Gap: What truly sets Rethish apart is his dual identity as both a hands-on enterprise leader and an active, forward-thinking academic researcher. He doesn’t just deploy today’s technology—he is actively helping shape tomorrow’s.

His independent research focuses on solving real-world vulnerabilities and efficiencies. Rethish has authored numerous peer-reviewed papers on the frontier of tech, including:

• Integrating Generative AI into enterprise workflows.
• Designing Zero Trust security architectures.
• Securing Industrial IoT through blockchain-enhanced digital twins.
• Developing privacy-preserving DeFi systems and ML-based intrusion detection.

Selvaraj Durairaj

Selvaraj Durairaj is a Senior Technical Architect with over 24 years of experience in enterprise technology, software engineering, and digital transformation. He specializes in designing and modernizing large-scale enterprise platforms within the Property & Casualty (P&C) insurance industry, helping organizations accelerate innovation through cloud-native architectures, intelligent automation, artificial intelligence, and enterprise-scale system modernization.

Throughout his career, Selvaraj has led the design and implementation of mission-critical insurance solutions supporting policy administration, claims management, billing, and customer engagement platforms for leading insurance carriers across North America. His work focuses on applying emerging technologies, AI-driven decision systems, and scalable software architectures to improve operational efficiency, customer experience, and business agility.

Selvaraj has received multiple organizational innovation and excellence awards for his contributions to technology innovation, enterprise architecture, and digital transformation initiatives. He is also an active contributor to the global research community, serving as a peer reviewer for international conferences and scholarly publications associated with IEEE and Springer Nature. His research interests include Artificial Intelligence, Responsible AI, Intelligent Systems, Enterprise Architecture, Software Engineering, Human-in-the-Loop AI, and AI-driven Digital Transformation.