Dr. Lianna Wijaya
BINUS UNIVERSITY, INDONESIA
Title: Embracing Circularity: Building a Sustainable Future Through Circular Economy Principles
Dr. Lianna Wijaya is an assistant professor at the Management Department, BINUS Online, Bina Nusantara University. With extensive academic credentials, including a Doctorate in Service Management, she has over 15 years of experience in the hospitality and tourism industry. Her research focuses on management, marketing, tourism, artificial intelligence, IoT, and education. Dr. Wijaya is a peer reviewer for Sinta and Emerald journals and has earned recognition such as the Rector’s Award for best lecturer, best paper awards at international conferences, and research collaborations with Indonesian and international institutions.
Abstract: The circular economy represents a transformative shift from traditional linear “take, make, dispose” models toward systems prioritizing resource efficiency, waste minimization, and material regeneration. It promotes sustainability by extending product lifecycles, reducing environmental impact, and creating economic opportunities. Practical strategies such as recycling, remanufacturing, and innovative business models exemplify its implementation. Global case studies highlight successful circular practices across various industries. Central to this transition are collaboration and advancements in technology, supported by policies and frameworks that engage stakeholders. This approach fosters resilience, encourages systemic change, and offers actionable solutions to build a regenerative and sustainable future.
Mr. SURENDAR RAMA SITARAMAN
Intel Corporation, Folsom, California, USA
Title: Empowering Industry 4.0 with AI, IoT, and Vision Intelligence for Sustainable Innovation
Surendar Rama Sitaraman is currently an AI Frameworks Engineer at Intel Corporation, where he contributes to the development and optimization of AI frameworks, driving innovation in AI and machine learning technologies. Prior to rejoining Intel, Surendar served as a Staff Engineer at Samsung Austin R&D Center (SARC), Advanced Computing Lab (ACL), contributing to the development and optimization of software solutions for Samsung’s flagship devices. He holds a Master of Science in Computer Science from the University of Southern California, Los Angeles, California, and has a substantial background in graphics, machine learning, artificial intelligence, and AI frameworks. Throughout his career, Surendar has significantly advanced technology in these fields and has contributed as a reviewer for peer-reviewed journals. He also holds patents for innovative technologies in IoT and artificial intelligence. As an active researcher, Surendar has authored approximately 15 papers. His research interests span Artificial Intelligence, Machine Learning, Cloud Computing, Data Mining, Graphics and IoT. He holds senior membership in IEEE and is an active member of professional organizations such as IAENG and ACM, actively engaging with the scientific community and contributing to advancements and discussions in his field.
Abstract: The convergence of Artificial Intelligence (AI), the Internet of Things (IoT), and Vision Intelligence is transforming industrial systems into intelligent, connected, and sustainable solutions. Advanced AI frameworks, combined with these technologies, are enabling smarter operations, enhancing efficiency, and promoting sustainability. AI-driven predictive maintenance, real-time data processing, and advanced computer vision techniques optimize industrial processes, reduce energy consumption, and improve resource utilization. AI frameworks support model optimization, efficient data handling, and intelligent decision-making across distributed environments. The integration of IoT devices with machine learning models enables real-time monitoring, data-driven predictive analytics, and seamless communication across industrial assets, while computer vision adds an extra dimension with quality control, visual inspection, and advanced recognition capabilities essential for automation. Techniques such as distributed inference, tensor optimization, and automated computation placement further enhance scalability and adaptability across diverse industrial settings, fostering sustainable growth. The importance of these converging technologies in creating scalable, adaptable solutions will be highlighted, as well as opportunities and challenges industries face in achieving a fully sustainable and intelligent future.
Dr. Maanak Gupta,
Tennessee Tech University, USA
Title: Intersection of AI, Ethics and Society
Maanak Gupta is an Assistant Professor in the Department of Computer Science at Tennessee Tech University, USA. He received his Ph.D. in Computer Science from the University of Texas at San Antonio and has worked as a Postdoctoral Research Fellow at the Institute for Cyber Security. He also holds an M.S. degree in Information Systems from Northeastern University, Boston. His primary area of research includes security and privacy in cyber space focused in studying foundational aspects of access control, malware analysis, AI and machine learning assisted cyber security, adversarial AI and their applications in technologies including cyber physical systems, cloud computing, IoT and Big Data. Dr Gupta has worked in developing novel security mechanisms, models and architectures for next generation smart cars, smart cities, intelligent transportation systems and smart farming. His scholarly work is regularly published at top peer-reviewed security venues including ACM SIGSAC conferences and refereed journals. He was recognized as the 2016 RSA Security Scholar, and received the 2019 Computer Science Outstanding Doctoral Dissertation research award from UT San Antonio, Kinslow Engineering Research and Wings up 100 awards 2022 at Tennessee Tech. He has published over 80 research articles and is regularly invited as conference keynote and expert speaker globally. His research has been funded by the US National Science Foundation (NSF), NASA, US Department of Defense (DoD) and private industry. He is a senior member of IEEE.
His website is at www.maanakgupta.com
Dr. Valery Vodovozov,
Tallinn University of Technology, Estonia
Title: Overview of trends and advancements in the field of power electronic converters used in robotics
Dr. Valery Vodovozov holds his PhD and Senior Researcher academic titles in Electrical Engineering from St. Petersburg Electrotechnical University, Russia, and is currently a senior expert in robotics, professor at Tallinn University of Technology, Estonia. He taught at St. Petersburg Electrotechnical University, Russian Customs Academy, Michigan University, and served as a visiting researcher at Ford Motor Company. He is an author of more than 300 professional publications, including textbooks, patents, articles, and papers in prominent journals and conferences. For a long time, he was a performer and manager of 26 research projects, an editor of Energies and Education Sciences MDPI journals, a producer of above 40 educational courses in robotics, industrial electronics, and electrical drives for engineering students, a supervisor of 14 PhD dissertations and multiple master and bachelor theses. He is a senior member of IEEE Education, Industrial Electronics, and Industrial Application Societies, and a chair of the IEEE Estonia Education Society Chapter.
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Prof. Mohd Helmy Abd Wahab,
Universiti Tun Hussein Onn Malaysia, Johor, Malaysia
Title: Smart Applications for Community: A Way forward
Mohd Helmy Abd Wahab is a senior lecturer and former Head of Intelligent System Lab at the Department of Computer Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia (UTHM). He is currently a Visiting Research Fellow for Center of Excellence on Geopolymer and Green Technology under cluster Green ICT, Universiti Malaysia Perlis (2018 – present). He is also an Executive Committee member for IEEE System, Man and Cybernetics Society Malaysia Chapter (IEEE SMC). He has actively involved in many academic activities such as being Keynote speaker at ICRITO 2020 (India), ICCSNT 2020 (Pakistan), ICCMIT2019 (Austria) and ICDMAI 2019 (Malaysia). He hold several research grants, won several medals in research and innovation showcases and awarded several publication award and teaching awards. He has authored and co-authored 2 books in database system (2013) and this book received consolation prize by Society of Science and Mathematics Malaysia (PESAMA) in 2014 and WAP application (2009), published several both local and international book chapters (22), technical papers in conferences and peer-reviewed journals (>150) papers. He also involve in publishing articles in periodicals such as newspaper (Utusan Malaysia) and national magazine (Dewan Kosmik). He also served as Editor-in-chief for Journal of Advances in Computing and Intelligent System, guest editor for several Special Issues in International journals, Associate Editor for International Journal of Advanced Computer Science and Applications (2009 – present) and as Deputy Editor in Chief for Int. Journal of Software Engineering and Computing since 2009 and scholarly contributed as committee for conferences, editorial team and manuscript reviewers and also invited to be session chair in conferences. Latest, he also invited to be Advisory Committee for COMPe2020 India, and Vice Chair for GRaCe2020 and RETREAT2020. His research interests are in data mining, artificial intelligence, mobile and wireless computing, web-based applications. He is currently an active member of IEEE, IEEE Computer Society, IAEng, IACSIT and PECAMP (Society of Info. Retrieval and Knowledge Management Malaysia) and as Associate Member for Embedded Computing Research Group (UTHM), BigData Center (UTM), MySigBigData (UM), E-Community Research Center (UKM).
Mr. Prashant Gupta,
Software Development Manager, Amazon, Seattle, USA
Title: Responsible AI Product Development
Prashant is a seasoned leader currently serving as a Software Development Manager at Amazon where he leads a team of engineers developing data-driven algorithms to optimize global warehouse operations across Amazon’s vast network. With a Master’s in Computer Engineering from UC Davis and over 9 years of professional experience, Prashant specializes in software development, management, and artificial intelligence applications, utilizing state-of-the-art cloud solutions. As a cross-functional leader, he fosters global collaboration to ensure the quality and reliability of their projects while bridging technical innovation with practical business needs. His commitment to academic excellence is exemplified through his role as a Senior Member of IEEE and his extensive reviewing experience for prestigious publications, including multiple Elsevier journals such as Smart Health, Computer Standards & Interfaces, and Computers & Industrial Engineering, as well as numerous IEEE conferences like IEEE New Era 2024, ICEIA 2024, CICN 2024, ICDCC 2024, and HRI 2025. His overarching mission remains consistent: to innovate, delight customers, and drive growth while advancing the field of computer science through both practical applications and academic contributions.
Abstract: In an era of rapid technological advancement, the development of artificial intelligence products demands a delicate balance between innovation and ethical responsibility. This keynote address explores the critical frameworks and best practices for building AI products that are not only technically sophisticated but also socially responsible and ethically sound. We will examine the key pillars of responsible AI development, including robust fairness testing, transparency in algorithmic decision-making, and proactive bias mitigation strategies. The discussion will delve into practical implementation methods for privacy-preserving AI systems, addressing the growing concerns around data protection and user consent. Special attention will be given to the importance of diverse and inclusive development teams, governance structures, and the implementation of comprehensive impact assessments throughout the product lifecycle. Through real-world case studies and emerging industry standards, this talk will provide product developers, managers, and stakeholders with actionable insights to create AI solutions that align with societal values while driving technological progress.
Dr. Jai Narayan Tripathi
IIT Jodhpur, India
Title: Challenges in Designing High-Speed Digital Systems
Prof. Jai Narayan Tripathi received the Ph.D. degree in Electrical Engineering from Indian Institute of Technology Bombay, Mumbai, India, in 2014. He is currently an Associate Professor at Indian Institute of Technology Jodhpur, Rajasthan, India as well as an Adjunct Research Professor at Carleton University, Ottawa, Canada. He was a Visiting Professor with the Department of Electronics and Telecommunications, Politecnico Di Torino, Italy in 2023-2024. In the past, he has worked with STMicroelectronics, India, for almost 7 years. He was a Visiting Scientist with the Politecnico di Torino, Turin, Italy, in 2016 and 2017, where he was also a Visiting Postdoctoral Fellow, in 2016. His current research interests include signal integrity, power integrity, electromagnetic interference/electromagnetic compatibility, metaheuristic optimization, and RF circuits. He has authored or coauthored over 125 research papers in refereed journals, as book chapters and in the proceedings of top international conferences.
Dr. Tripathi has received a couple of sponsored research grants as well as SIRE Fellowship from Science and Engineering Research Board (SERB), Govt. of India. His papers have won best paper awards in a couple of international conferences. He has received the YITP Research Award by ACRI, Italy in 2016 and 2017. Dr. Tripathi has served as a TPC Member for over 30 international conferences including the premier conferences such as IEEE EPEPS, IEEE SPI, IEEE VLSI Design, IEEE EDAPS, etc. He was an Invited Speaker in IEEE EDAPS 2015, Seoul, South Korea. He has served as a TPC Co-Chair for IEEE EDAPS 2018 and will be serving for the same position in IEEE EDAPS 2024. He has been a Session Chair in several international conferences. He has been serving as a referee for many IEEE journals. Dr. Tripathi was a member of the ‘Best Paper Award Committee’ of IEEE EDAPS 2020. He has delivered invited talks at various universities and international forums. Dr. Tripathi is currently working as an Associate Editor for IEEE Transactions on Signal and Power Integrity, IEEE Transactions on Components, Packaging and Manufacturing Technology and IEEE Electromagnetic Compatibility Magazine. In the past, he has also served as an Associate Editor for IEEE Open Journal of Circuits and Systems. He is a Senior Member of IEEE.
Dr. Rajesh Patel
Indira Gandhi Centre for Atomic Research (IGCAR), Kalpakkam Chengalpattu, Tamil Nadu, India
Title: Magnetocardiogram System: Non-invasive Diagnostic Solutions for Cardiac Health
Dr. Rajesh Patel joined the SQUID Application Section, Materials Science Group (MSG) at the Indira Gandhi Centre for Atomic Research (IGCAR) in 2008, after completing his training at the BARC Training School, RRCAT Indore, as a Scientific Officer. He holds an M.Tech and a Ph.D. from the Homi Bhabha National Institute (HBNI), where his research primarily focused on advanced signal processing techniques and their applications in biomagnetic measurements.
Dr. Patel has been recognized for his exceptional contributions to the field, including receiving the Department of Atomic Energy (DAE) Group Achievement Award for his pivotal role in establishing a state-of-the-art Superconducting Quantum Interference Device (SQUID)-based biomagnetism measurement facility. His work has earned global recognition, with numerous publications cited extensively and ranked among the top 20 publications of the year in prestigious international medical journals.
Beyond his research, Dr. Patel has served as an expert reviewer for high-impact journals, a technical advisor for specialized workshops, and has been actively engaged in faculty and student training programs. Additionally, he has contributed as an examiner for doctoral dissertations. His interdisciplinary research interests encompass a wide range of domains, including biomedical signal processing, linear and nonlinear data analysis techniques, machine learning algorithms, cost-effective biomedical system design, and advancements in instrumentation and physical computing.
Abstract: Magnetocardiography (MCG) involves the acquisition of weak magnetic fields in the range of 50–100 pico Tesla, originating from human heart activity. These measurements are performed in a magnetically shielded room using low-temperature superconducting quantum interference device (SQUID) sensors. The primary advantages of MCG lie in its non-contact, non-invasive, and radiation-free nature, enabling the direct measurement of intrinsic cardiac magnetic fields. Furthermore, these magnetic fields are relatively unaffected by the conductivity profile of the human body or the dielectric properties of surrounding tissues, ensuring accurate and reliable diagnosis. The establishment of the MCG system at MSG, IGCAR, marks the first and only facility of its kind in India capable of measuring such weak magnetic fields from the human heart. This presentation will discuss the challenges faced in developing the MCG system and will highlight few clinical studies conducted in collaboration with hospitals, demonstrating its potential for large-scale cardiac screening.