5th IEEE International Conference on AI in Cybersecurity (ICAIC).

18-20 February 2026

University of Houston, 4800 Calhoun Rd, Houston, TX 77004

PROF ARTHUR JAMES SWART

Central University of Technology, South Africa

Prof Arthur James Swart has been a senior member of the Institute of Electrical and Electronics Engineers (IEEE) USA since 2019. He has worked for Telkom SA and De Beers Namaqualand Mines for 4 years. He joined the Vaal University of Technology in 1995 and progressed from a technician to a senior lecturer in 2007. He completed his MEd in 2007 and his DTech in 2011. He was a General Chair of the 6th, 7th, 8th, and 9th International Conferences on Green Computing and Engineering Technology in Russia, Peru, Mauritius, and South Africa in 2020, 2021, 2022, and 2023. He has delivered keynote speeches in the USA, India, UAE, Mauritius, Indonesia, Russia, Morocco, and so on. He has served as a PhD Examiner in various universities across the globe. He is writing and editing many books with top academic publishers like CRC Press, Taylor and Francis. He has always loved teaching, but his passion for research took time to develop! Research definitely allows one to engage in life-long learning which will always remain his primary goal which he currently pursues at The Central University of Technology, South Africa.

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PROF ARTHUR JAMES SWART

Prof Arthur James Swart has been a senior member of the Institute of Electrical and Electronics Engineers (IEEE) USA since 2019. He has worked for Telkom SA and De Beers Namaqualand Mines for 4 years. He joined the Vaal University of Technology in 1995 and progressed from a technician to a senior lecturer in 2007. He completed his MEd in 2007 and his DTech in 2011. He was a General Chair of the 6th, 7th, 8th, and 9th International Conferences on Green Computing and Engineering Technology in Russia, Peru, Mauritius, and South Africa in 2020, 2021, 2022, and 2023. He has delivered keynote speeches in the USA, India, UAE, Mauritius, Indonesia, Russia, Morocco, and so on. He has served as a PhD Examiner in various universities across the globe. He is writing and editing many books with top academic publishers like CRC Press, Taylor and Francis. He has always loved teaching, but his passion for research took time to develop! Research definitely allows one to engage in life-long learning which will always remain his primary goal which he currently pursues at The Central University of Technology, South Africa.


Mr. Tejas Pravinbhai Patel

Amazon, United States

Tejas Pravinbhai Patel is a Software Development Engineer at Amazon Retail and an Independent Researcher specializing in Distributed Systems and Artificial Intelligence at enterprise scale. At Amazon, he architects and delivers production systems that power multi-million dollar revenue streams and serve millions of customers and sellers daily. His work includes building seller insight platforms that analyze review trends and seller performance metrics at scale, developing intelligent fraud detection pipelines, optimizing recommendation engines for personalized shopping experiences, and creating real-time analytics systems that drive critical business decisions. He specializes in designing cloud-native architectures that handle massive scale—processing billions of events, managing petabyte-scale data lakes, and ensuring seamless performance during peak traffic periods like Prime Day and holiday seasons. His contributions directly impact seller success, customer trust, operational efficiency, and bottom-line revenue across Amazon’s global retail operations. Tejas brings a unique perspective by bridging hands-on industry engineering with rigorous academic research. His technical expertise encompasses AI-native distributed architectures, autonomous multi-agent systems, federated learning for privacy-preserving analytics. He has authored peer-reviewed publications in IEEE conferences and served as a technical reviewer and session chair, translating production system challenges into novel architectural solutions with measurable business impact. His engineering philosophy emphasizes production-grade reliability, cost efficiency, and operational excellence—building systems that scale seamlessly from thousands to millions of users while maintaining security and performance guarantees. Tejas has delivered keynote presentations on real-world distributed AI challenges, sharing insights from operating systems that process billions of requests across global infrastructure. He has judged international IEEE conferences, evaluating cutting-edge work in distributed systems, AI security, and large-scale machine learning deployments. He continues advancing intelligent e-commerce platforms through innovative architecture design, novel fraud detection frameworks, and contributions to industry standards for trustworthy AI systems at scale

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Mr. Tejas Pravinbhai Patel

Tejas Pravinbhai Patel is a Software Development Engineer at Amazon Retail and an Independent Researcher specializing in Distributed Systems and Artificial Intelligence at enterprise scale. At Amazon, he architects and delivers production systems that power multi-million dollar revenue streams and serve millions of customers and sellers daily. His work includes building seller insight platforms that analyze review trends and seller performance metrics at scale, developing intelligent fraud detection pipelines, optimizing recommendation engines for personalized shopping experiences, and creating real-time analytics systems that drive critical business decisions. He specializes in designing cloud-native architectures that handle massive scale—processing billions of events, managing petabyte-scale data lakes, and ensuring seamless performance during peak traffic periods like Prime Day and holiday seasons. His contributions directly impact seller success, customer trust, operational efficiency, and bottom-line revenue across Amazon’s global retail operations. Tejas brings a unique perspective by bridging hands-on industry engineering with rigorous academic research. His technical expertise encompasses AI-native distributed architectures, autonomous multi-agent systems, federated learning for privacy-preserving analytics. He has authored peer-reviewed publications in IEEE conferences and served as a technical reviewer and session chair, translating production system challenges into novel architectural solutions with measurable business impact. His engineering philosophy emphasizes production-grade reliability, cost efficiency, and operational excellence—building systems that scale seamlessly from thousands to millions of users while maintaining security and performance guarantees. Tejas has delivered keynote presentations on real-world distributed AI challenges, sharing insights from operating systems that process billions of requests across global infrastructure. He has judged international IEEE conferences, evaluating cutting-edge work in distributed systems, AI security, and large-scale machine learning deployments. He continues advancing intelligent e-commerce platforms through innovative architecture design, novel fraud detection frameworks, and contributions to industry standards for trustworthy AI systems at scale


Dr. Jagdish Chandra Patni

Executive Director at Apex Institute of Technology, Chandigarh University Mohali, India

Dr. Jagdish Chandra Patni is working as a Professor and Executive Director at Apex Institute of Technology, Chandigarh University Mohali, India. He is actively working in the research areas of Artificial Intelligence, Machine Learning, Deep Learning, High-Performance Computing, IOT, etc. Before working with Chandigarh University, he worked with Alliance University Bengaluru, Symbiosis International University Pune, Jain University Bengaluru, and the University of Petroleum and Energy Studies Dehradun. He did his PhD in High-Performance computing in 2016, M. Tech. and B. Tech. in 2009 and 2004, respectively. He has over 20 years of teaching and 7 years of administrative experience. He has authored more than 150 research articles in journals and conferences of repute nationally and internationally. Dr Patni has authored 7 books and over 10 book chapters with international publishers like Wiley, Springer, CRC Press, and Nova publications. He is an active Guest Editor/Reviewer of various referred international journals. 7 Indian patents/copyrights are granted and 29 patents are published in his credit. He is guiding 2 research scholars and guided more than 10 PG students. He has delivered Keynote/Guest speeches in India and abroad. He has organized multiple conferences/seminars/workshops/FDPs in India and abroad. He has been awarded Eminent Engineers Award by IEI, outstanding performance award 2022, Guru Siromani Award 2023, Professor of the year 2023, Researcher Excellence award 2021 by Government of Uttarakhand & UCOST, Young Scientist Award 2021 by UCOST Dehradun and Divya Himgiri, Teacher of the year 2020 by Govt. of Uttarakhand, best paper award by Hosei University Tokyo, Japan in 2020 and many more. He is Fellow Institution of Engineers (India), Senior member of IEEE, Member ACM, MIE, IEANG, IACSIT, Vigyan Bharti, etc. Scopus: https://www.scopus.com/authid/detail.uri?authorId=46161508100
Google Scholar: https://scholar.google.com/citations?user=8J2CEvUAAAAJ

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Dr. Jagdish Chandra Patni

Dr. Jagdish Chandra Patni is working as a Professor and Executive Director at Apex Institute of Technology, Chandigarh University Mohali, India. He is actively working in the research areas of Artificial Intelligence, Machine Learning, Deep Learning, High-Performance Computing, IOT, etc. Before working with Chandigarh University, he worked with Alliance University Bengaluru, Symbiosis International University Pune, Jain University Bengaluru, and the University of Petroleum and Energy Studies Dehradun. He did his PhD in High-Performance computing in 2016, M. Tech. and B. Tech. in 2009 and 2004, respectively. He has over 20 years of teaching and 7 years of administrative experience. He has authored more than 150 research articles in journals and conferences of repute nationally and internationally. Dr Patni has authored 7 books and ove3r 10 book chapters with international publishers like Wiley, Springer, CRC Press, and Nova publications. He is an active Guest Editor/Reviewer of various referred international journals. 7 Indian patents/copyrights are granted and 29 patents are published in his credit. He is guiding 2 research scholars and guided more than 10 PG students. He has delivered Keynote/Guest speeches in India and abroad. He has organized multiple conferences/seminars/workshops/FDPs in India and abroad. He has been awarded Eminent Engineers Award by IEI, outstanding performance award 2022, Guru Siromani Award 2023, Professor of the year 2023, Researcher Excellence award 2021 by Government of Uttarakhand & UCOST, Young Scientist Award 2021 by UCOST Dehradun and Divya Himgiri, Teacher of the year 2020 by Govt. of Uttarakhand, best paper award by Hosei University Tokyo, Japan in 2020 and many more. He is Fellow Institution of Engineers (India), Senior member of IEEE, Member ACM, MIE, IEANG, IACSIT, Vigyan Bharti, etc. Scopus: https://www.scopus.com/authid/detail.uri?authorId=46161508100 Google Scholar: https://scholar.google.com/citations?user=8J2CEvUAAAAJ
E-mail: c.bhawani@ieee.org



Dr. Bishwajeet Kumar Pandey

GL Bajaj Institute of Technology and Management, India

Dr. Bishwajeet Pandey is a Professor at GL Bajaj Institute of Technology and Management, India. He holds an MTech in Computer Science and Engineering from the Indian Institute of Information Technology (IIIT), Gwalior, India, and a PhD in Computer Science from Gran Sasso Science Institute, Italy. He has taught at esteemed institutions such as Chitkara University Chandigarh, Birla Institute of Applied Science Bhimtal, Jain University Bangalore, Astana IT University Kazakhstan, Eurasian National University Kazakhstan (QS World Rank 321), and UCSI University Malaysia (QS World Rank 265). Dr. Pandey is a prolific researcher, with 30 published books, 250+ research papers indexed in Scopus. He has garnered over 4500 citations and holds an H-index of 30. His leadership roles include serving as the Research Head of the School of Computer Science and Engineering at Jain University Bangalore from 2021 to 2023, and as the head of the International Global Academic Partnership Committee at Birla Institute of Applied Science Bhimtal from 2020 to 2021. In 2023, Dr. Pandey was honored with the prestigious Professor of the Year Award at Lords Cricket Ground by the London Organisation of Skills Development. Beyond his outstanding research output, his greatest strength lies in his global academic network. He has visited 49 countries, participated in 105 international conferences, and co-authored papers with 218 professors from 93 universities across 42 nations.

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Dr. Bishwajeet Kumar Pandey

Dr. Bishwajeet Pandey is a Professor at GL Bajaj College of Technology and Management, India. He holds an MTech in Computer Science and Engineering from the Indian Institute of Information Technology, Gwalior, India, and a PhD in Computer Science from Gran Sasso Science Institute, Italy. He has taught at esteemed institutions such as Chitkara University Chandigarh, Birla Institute of Applied Science Bhimtal, Jain University Bangalore, Astana IT University Kazakhstan, Eurasian National University Kazakhstan (QS World Rank 321), and UCSI University Malaysia (QS World Rank 265). Dr. Pandey is a prolific researcher, with 17 published books, 200+ research papers indexed in Scopus. He has garnered over 3,900 citations and holds an H-index of 30. His leadership roles include serving as the Research Head of the School of Computer Science and Engineering at Jain University Bangalore from 2021 to 2023, and as the head of the International Global Academic Partnership Committee at Birla Institute of Applied Science Bhimtal from 2020 to 2021. In 2023, Dr. Pandey was honored with the prestigious Professor of the Year Award at Lords Cricket Ground by the London Organisation of Skills Development. Beyond his outstanding research output, his greatest strength lies in his global academic network. He has visited 49 countries, participated in 105 international conferences, and co-authored papers with 218 professors from 93 universities across 42 nations.

Prof (Dr.) Raul V. Rodriguez

VP, Woxsen University, India

Dr. Raul V. Rodriguez is a pioneer in human–technology integration, focused on augmenting human intelligence while preserving cognitive agency in an era of growing algorithmic dependence. His work integrates social systems, automation, and network dynamics to design frameworks that optimize complex systems across global sectors. A prolific innovator, Dr. Rodriguez holds multiple patents in cognitive modeling and systemic optimization. His landmark contributions include Universal Failure Theory (UFT), Behavioral GPS™ with over 85% predictive accuracy, and advanced systems for healthcare, aviation, and education. His Unified Healthcare Intelligence System has reduced diagnostic errors by 37%, while his Intelligent Air Traffic Management System increased airspace capacity by 31% and lowered cognitive load. His EdTech platform, N-PACE, serves over 1.1 million students worldwide.

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Dr. Raul V. Rodriguez

Dr. Raul V. Rodriguez is a global authority in human–technology integration, dedicated not only to advancing artificial intelligence but to strengthening human intelligence and cognitive agency. His work responds to the urgent challenge of algorithmic dependency by designing systems that empower human decision-making rather than replace it. By synthesizing social systems, automation, and network dynamics, he develops scalable frameworks that optimize high-complexity environments across multiple global verticals. A prolific researcher and inventor, Dr. Rodriguez holds several patents in cognitive modeling and systemic optimization. His signature contribution, Universal Failure Theory (UFT), introduces the “Mathematics of Breakdown,” a universal model for understanding systemic failure. His Behavioral GPS™ platform delivers predictive cognitive modeling with over 85% accuracy and is deployed across 12 major municipalities. In critical infrastructure, his Unified Healthcare Intelligence System has reduced diagnostic errors by 37% across 47 institutions, while his Intelligent Air Traffic Management System increased airspace capacity by 31% and significantly reduced controller cognitive load. In education, his N-PACE platform serves more than 1.1 million students across 45 institutions. His pioneering research in nano-based necrobotics was featured by Elsevier in 2023. Dr. Rodriguez has authored over 70 peer-reviewed publications and 20 scholarly books. He serves as a strategic advisor to the Government of Dubai and global leaders in healthcare, aviation, smart cities, and energy. An influential speaker at premier academic, technology, and industry forums, he also teaches graduate-level courses and holds leadership roles on international boards, including EFMD Global, GRLI, and PRME i5.

Mr. Amit Kumar Padhy

Senior Computer Scientist II, Adobe Inc., USA

Amit Kumar Padhy is a Senior Computer Scientist II and Lead Architect at Adobe Inc., specializing in enterprise systems engineering across AI-enabled digital commerce and cloud-native platforms. With 20 years of experience, he architects and modernizes mission-critical commerce systems such as Pricing, Payments, Ordering, Catalog, and Billing into resilient, event-driven microservices that operate reliably at global scale. He leads architecture for Adobe’s unified platform and CloudTech capabilities, with a focus on high availability, fault tolerance, automation, cloud optimization, and intelligent decisioning to improve performance and business agility. Amit serves on Adobe’s core Commerce Architecture Council and actively engages with web and software standards initiatives. Previously, he contributed to large-scale enterprise systems at Fortune 500 companies, including Oracle, Goldman Sachs, Intuit, and IBM. He also holds leadership roles in ACM as a Chair and supports IEEE communities in various capacities, while mentoring engineers and shaping long-term technical strategy.

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Mr. Amit Kumar Padhy

Amit Kumar Padhy is a Senior Computer Scientist II and Lead Architect at Adobe Inc., specializing in enterprise systems engineering across AI-enabled digital commerce and cloud-native platforms. With 20 years of experience, he architects and modernizes mission-critical commerce systems such as Pricing, Payments, Ordering, Catalog, and Billing into resilient, event-driven microservices that operate reliably at global scale. He leads architecture for Adobe’s unified platform and CloudTech capabilities, with a focus on high availability, fault tolerance, automation, cloud optimization, and intelligent decisioning to improve performance and business agility. Amit serves on Adobe’s core Commerce Architecture Council and actively engages with web and software standards initiatives. Previously, he contributed to large-scale enterprise systems at Fortune 500 companies, including Oracle, Goldman Sachs, Intuit, and IBM. He also holds leadership roles in ACM as a Chair and supports IEEE communities in various capacities, while mentoring engineers and shaping long-term technical strategy.

Ummi Azizah Rachmawati

Dean of Faculty of Information Technology, Universitas YARSI, Jakarta, Indonesia.

She holds B.Sc. from Informatics Engineering, Sepuluh Nopember Instutute of Technology in 2000 and holds M.Sc. from Magister of Information Technology, Universitas Indonesia in 2003. She holds Ph.D from Faculty of Computer Science, Universitas Indonesia in 2014. She got a Sandwich Program during her postgraduate at Information Technology and Electrical Engineering (ITEE) University of Queensland, Australia.

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Ummi Azizah Rachmawati

She holds B.Sc. from Informatics Engineering, Sepuluh Nopember Instutute of Technology in 2000 and holds M.Sc. from Magister of Information Technology, Universitas Indonesia in 2003. She holds Ph.D from Faculty of Computer Science, Universitas Indonesia in 2014. She got a Sandwich Program during her postgraduate at Information Technology and Electrical Engineering (ITEE) University of Queensland, Australia. She is an academic and research staff of Faculty of Information Technology, Universitas YARSI, Jakarta, Indonesia. Her main research interests are Data Mining, Grid Computing, Social Network Analysis and e- Government. She has won some research grants on e-Commerce, e-Learning, e- Government, Social Network Analysis and e-Health.

Ts. Dr. Mohammad Kamrul Hasan

Cyber Security Center, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM)

Ts. Dr. Mohammad Kamrul Hasan currently working as an Associate Professor and head of the Network and Communication Technology Research Laboratory at the Cyber Security Center, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM). He completed a Doctor of Philosophy (Ph.D.) and an MSc in Electrical and Communication Engineering from the Faculty of Engineering, International Islamic University, Malaysia, in 2016. Dr. Kamrul specializes in cutting-edge information-centric networks, Wireless Communication and Networking, Artificial Intelligence, Cyber-physical systems, Smart Vehicular networks, and smart grid & Industrial IoT. He has been selected as one of the top 2 % of scientists and highly cited authors worldwide, awarded by Stanford University, Elsevier, and Web of Science. He has published over 230 indexed papers in ranked journals and conference proceedings. Dr. Kamrul is a Senior Member of the Institute of Electrical and Electronics Engineers, signatory Member of the Institution of Engineering and Technology, and the Internet Society. Dr. Kamrul is a certified professional technologist in the Board of Technology Malaysia. He has actively participated in many events/workshops/training for the IEEE and IEEE humanitarian programs in Malaysia. He works as associate editor and guest editor for IEEE, Elsevier, IET, MDPI, and Bentham Science.

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Ts. Dr. Mohammad Kamrul Hasan

Ts. Dr. Mohammad Kamrul Hasan currently working as an Associate Professor and head of the Network and Communication Technology Research Laboratory at the Cyber Security Center, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM). He completed a Doctor of Philosophy (Ph.D.) and an MSc in Electrical and Communication Engineering from the Faculty of Engineering, International Islamic University, Malaysia, in 2016. Dr. Kamrul specializes in cutting-edge information-centric networks, Wireless Communication and Networking, Artificial Intelligence, Cyber-physical systems, Smart Vehicular networks, and smart grid & Industrial IoT. He has been selected as one of the top 2 % of scientists and highly cited authors worldwide, awarded by Stanford University, Elsevier, and Web of Science. He has published over 230 indexed papers in ranked journals and conference proceedings. Dr. Kamrul is a Senior Member of the Institute of Electrical and Electronics Engineers, signatory Member of the Institution of Engineering and Technology, and the Internet Society. Dr. Kamrul is a certified professional technologist in the Board of Technology Malaysia. He has actively participated in many events/workshops/training for the IEEE and IEEE humanitarian programs in Malaysia. He works as associate editor and guest editor for IEEE, Elsevier, IET, MDPI, and Bentham Science.

Mr. Sandeep Shivam

Associate Director, Touchless Lending platform, Tavant, USA

Sandeep Shivam is a product and technology leader with nearly two decades of experience building AI driven solutions in the financial sector. As Associate Director for the Touchless Lending platform at Tavant, he leads innovation in borrower and lender experience, intelligent automation, and advanced decision systems for enterprise scale customers. He is a Fellow of BCS, an IEEE Senior Member, and a member of the Forbes Technology Council, recognized for shaping practical and responsible applications of artificial intelligence across complex digital ecosystems. Sandeep has delivered keynote talks at industry conferences across the United States and has served as a reviewer, judge, and session chair for international journals and research conferences. His work is frequently published through Forbes, the Mortgage Bankers Association, HousingWire, and other industry platforms. He is passionate about engineering AI native products that create real value and continues to advocate for thoughtful innovation that improves outcomes for businesses and the communities they serve.

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Mr. Sandeep Shivam

Sandeep Shivam is a product and technology leader with nearly two decades of experience building AI driven solutions in the financial sector. As Associate Director for the Touchless Lending platform at Tavant, he leads innovation in borrower and lender experience, intelligent automation, and advanced decision systems for enterprise scale customers. He is a Fellow of BCS, an IEEE Senior Member, and a member of the Forbes Technology Council, recognized for shaping practical and responsible applications of artificial intelligence across complex digital ecosystems. Sandeep has delivered keynote talks at industry conferences across the United States and has served as a reviewer, judge, and session chair for international journals and research conferences. His work is frequently published through Forbes, the Mortgage Bankers Association, HousingWire, and other industry platforms. He is passionate about engineering AI native products that create real value and continues to advocate for thoughtful innovation that improves outcomes for businesses and the communities they serve.

Mr. Sreenivasulu Gajula

Principal Full-Stack Engineer, USA

Sreenivasulu Gajula is a Principal Full-Stack Engineer and a recognized leader in global fintech transformation, with extensive expertise in Java/J2EE, cloud platforms including AWS and Azure, microservices architecture, and modern front-end frameworks such as Angular. He has played a pivotal role in modernizing large-scale legacy financial systems into secure, scalable, and AI-driven digital ecosystems, enabling financial institutions to operate with greater agility, resilience, and innovation.

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Mr. Sreenivasulu Gajula

Sreenivasulu Gajula is a Principal Full-Stack Engineer and a recognized leader in global fintech transformation, with extensive expertise in Java/J2EE, cloud platforms including AWS and Azure, microservices architecture, and modern front-end frameworks such as Angular. He has played a pivotal role in modernizing large-scale legacy financial systems into secure, scalable, and AI-driven digital ecosystems, enabling financial institutions to operate with greater agility, resilience, and innovation. As a frequent keynote speaker and invited speaker at international conferences, Sreenivasulu regularly shares expert insights on fintech modernization, cloud-native architectures, AI-driven security, and enterprise-scale digital transformation. He is also an active research contributor and published author, with multiple peer-reviewed scholarly articles in the areas of financial technology, cloud computing, cybersecurity, and applied artificial intelligence, including publications associated with leading international conferences and journals. In addition to his technical leadership, he serves as a reviewer, judge, and technical committee member for global conferences, contributing to the advancement of high-quality research and innovation. His work consistently bridges complex engineering challenges with forward-looking digital solutions, positioning him as a trusted voice in the convergence of fintech, AI, and cloud technologies.

Mr. Sundeep Bobba

Tech Lead Cloud DevOps Engineer, Southwest Airlines, USA

Sundeep Bobba is a Tech Lead Cloud DevOps Engineer with over 15 years of experience in large-scale, mission-critical systems.He specializes in AI-augmented DevOps, autonomous delivery pipelines, and intelligent platform engineering. Sundeep has deep expertise in cybersecurity and DevSecOps, embedding security automation across the CI/CD lifecycle. His work focuses on building self-healing, self-optimizing software delivery systems powered by AI and machine learning. He has led major modernization initiatives across cloud-native platforms serving millions of users. Sundeep has authored industry case studies and research publications on AI-powered automation and DevOps. He is an IEEE Senior Member and an active reviewer and program committee member for international conferences. He has delivered invited talks and keynotes on AI in DevOps, autonomous pipelines, and secure software delivery. Sundeep blends engineering leadership with applied research to advance next-generation intelligent automation. He is passionate about shaping the future of AI-driven DevOps, cybersecurity automation, and autonomous digital platforms.

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Mr. Sundeep Bobba

Sundeep Bobba is a Tech Lead Cloud DevOps Engineer with over 15 years of experience in large-scale, mission-critical systems.He specializes in AI-augmented DevOps, autonomous delivery pipelines, and intelligent platform engineering. Sundeep has deep expertise in cybersecurity and DevSecOps, embedding security automation across the CI/CD lifecycle. His work focuses on building self-healing, self-optimizing software delivery systems powered by AI and machine learning. He has led major modernization initiatives across cloud-native platforms serving millions of users. Sundeep has authored industry case studies and research publications on AI-powered automation and DevOps. He is an IEEE Senior Member and an active reviewer and program committee member for international conferences. He has delivered invited talks and keynotes on AI in DevOps, autonomous pipelines, and secure software delivery. Sundeep blends engineering leadership with applied research to advance next-generation intelligent automation. He is passionate about shaping the future of AI-driven DevOps, cybersecurity automation, and autonomous digital platforms.

Mr. Mohith Reddy Patlolla

Senior Developer – Lead Business Intelligence, USA

Mohith Reddy Patlolla is a Senior Developer and Lead Business Intelligence professional recognized for his transformative contributions to data analytics and enterprise intelligence. With over a decade of experience, he has designed and implemented advanced BI solutions that have driven measurable improvements in efficiency, data accuracy, and decision-making across healthcare, finance, media, and pharmaceutical sectors. Mohith has pioneered innovative solutions such as multi-tier BI data models that reduced data latency by significant margins, advanced security frameworks for regulated industries, and automated reporting systems serving large-scale user bases.

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Mr. Mohith Reddy Patlolla

Mohith Reddy Patlolla is a Senior Developer and Lead Business Intelligence professional recognized for his transformative contributions to data analytics and enterprise intelligence. With over a decade of experience, he has designed and implemented advanced BI solutions that have driven measurable improvements in efficiency, data accuracy, and decision-making across healthcare, finance, media, and pharmaceutical sectors. Mohith has pioneered innovative solutions such as multi-tier BI data models that reduced data latency by significant margins, advanced security frameworks for regulated industries, and automated reporting systems serving large-scale user bases. His work has been recognized with awards for excellence in business intelligence development and administration, and he is frequently invited to speak at industry conferences and webinars, sharing insights on BI architecture, data strategy, and analytics innovation. A thought leader in his field, Mohith’s contributions have influenced organizational strategies and established best practices adopted widely by peers and industry professionals. His combination of technical expertise, original problem-solving, and measurable impact demonstrates a sustained record of achievement in enterprise business intelligence.

Mr. Siva Teja Reddy Kandula |

Senior Software Developer, USA

Siva Teja Reddy Kandula is an Independent Researcher and seasoned technologist with deep expertise in cloud computing, AI-driven architectures, and enterprise software development. He has a solid foundation in AWS cloud services and Java-based systems and has authored multiple peer-reviewed articles published by IEEE. As an active contributor to the research community, Siva has served as a judge and reviewer for over a dozen IEEE conferences. He holds the distinction of being an IEEE Senior Member. Siva is passionate about advancing responsible AI, scalable cloud ecosystems, and digital transformation. He is a frequent speaker at international conferences, where he shares insights on intelligent automation, DevOps, and the convergence of AI and cloud technologies.

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Mr. Siva Teja Reddy Kandula

Siva Teja Reddy Kandula is an Independent Researcher and seasoned technologist with deep expertise in cloud computing, AI-driven architectures, and enterprise software development. He has a solid foundation in AWS cloud services and Java-based systems and has authored multiple peer-reviewed articles published by IEEE. As an active contributor to the research community, Siva has served as a judge and reviewer for over a dozen IEEE conferences. He holds the distinction of being an IEEE Senior Member. Siva is passionate about advancing responsible AI, scalable cloud ecosystems, and digital transformation. He is a frequent speaker at international conferences, where he shares insights on intelligent automation, DevOps, and the convergence of AI and cloud technologies.

Ravi Sankar Susarla

Lead Data Engineer, USA.

Ravi Sankar Susarla is a technology leader and Agile practitioner with over 15 years of experience delivering enterprise-scale software solutions across finance, cloud, and data platforms. Currently a Lead Data Engineer at Wells Fargo, he drives complex integration and analytics initiatives that demand high reliability, security, and delivery excellence. Ravi has led and contributed to multiple Agile transformations, applying Scrum and SAFe frameworks in large, distributed teams. He has extensive hands-on experience using Jira Atlassian Agile tools to enable sprint planning, release management, flow metrics, and continuous improvement. His keynote sessions focus on translating Agile principles into practical, outcome-driven execution.

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Mr. Ravi Sankar Susarla

Ravi Sankar Susarla is a technology leader and Agile practitioner with over 15 years of experience delivering enterprise-scale software solutions across finance, cloud, and data platforms. Currently a Lead Data Engineer at Wells Fargo, he drives complex integration and analytics initiatives that demand high reliability, security, and delivery excellence. Ravi has led and contributed to multiple Agile transformations, applying Scrum and SAFe frameworks in large, distributed teams. He has extensive hands-on experience using Jira Atlassian Agile tools to enable sprint planning, release management, flow metrics, and continuous improvement. His keynote sessions focus on translating Agile principles into practical, outcome-driven execution. Blending deep technical expertise in AWS, Docker, Microsoft Fabric, Python, and Power BI with real-world Agile leadership, Ravi delivers engaging, experience-backed insights for technology leaders, practitioners, and researchers seeking to improve software development efficiency at scale.

Mr. Subhash Bondhala

Senior Network Engineer, USA

Mr. Subhash Bondhala is a senior professional in AI-driven network security and enterprise infrastructure modernization, with over 10 years of experience across the energy, healthcare, and government sectors. He is a Senior Member of IEEE and other leading professional bodies. He is a recognized author and reviewer, having published hundreds of technical articles and reviewed numerous research papers, journals, and awards. Mr. Bondhala has served as a judge and evaluator for multiple international hackathons and research forums and has received several awards for his contributions to enterprise defense systems and cybersecurity innovation. He has been invited as a speaker, panelist, and judge at various international conferences and events. While he has always valued knowledge sharing and mentorship, his passion for research continues to grow, enabling lifelong learning and innovation, which remain central to his professional journey.

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Mr. Subhash Bondhala

Mr. Subhash Bondhala is a senior professional in AI-driven network security and enterprise infrastructure modernization, with over 10 years of experience across the energy, healthcare, and government sectors. He is a Senior Member of IEEE and other leading professional bodies. He is a recognized author and reviewer, having published hundreds of technical articles and reviewed numerous research papers, journals, and awards. Mr. Bondhala has served as a judge and evaluator for multiple international hackathons and research forums and has received several awards for his contributions to enterprise defense systems and cybersecurity innovation. He has been invited as a speaker, panelist, and judge at various international conferences and events. While he has always valued knowledge sharing and mentorship, his passion for research continues to grow, enabling lifelong learning and innovation, which remain central to his professional journey.

Mr. Dharnisha Narasappa

Senior Network Architect at Versa Networks, USA

Dharnisha Narasappa is a Senior Network Architect at Versa Networks (United States) with over 20 years of global experience in Cybersecurity, AI-driven Security, Zero Trust Architecture (ZTA), Secure SD-WAN, SASE, Network Architecture, Network Security Design, Implementation, and Advanced Troubleshooting across Enterprise, Data Center, Service Provider, and IoT/OT environments. He holds CCIE #46979 and is widely recognized for driving large-scale, mission-critical security transformations. Dharnisha has successfully led the architecture, design, testing, implementation, integration, and migration of complex cybersecurity and network solutions, with a strong ability to scale products and accelerate adoption across multi-protocol, multi-vendor enterprise, data center, and IoT ecosystems. As a Senior Member of IEEE, CCIE, Dharnisha actively contributes to the global research and standards community. He is a Lead Author and Contributor to IEEE ,CSA and international cybersecurity conferences, and regularly serves as an IEEE Keynote Speaker, Session Chair, Technical Reviewer, Judge, and Mentor.

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Mr. Dharnisha Narasappa

Dharnisha Narasappa is a Senior Network Architect at Versa Networks (United States) with over 20 years of global experience in Cybersecurity, AI-driven Security, Zero Trust Architecture (ZTA), Secure SD-WAN, SASE, Network Architecture, Network Security Design, Implementation, and Advanced Troubleshooting across Enterprise, Data Center, Service Provider, and IoT/OT environments. He holds CCIE #46979 and is widely recognized for driving large-scale, mission-critical security transformations. Dharnisha has successfully led the architecture, design, testing, implementation, integration, and migration of complex cybersecurity and network solutions, with a strong ability to scale products and accelerate adoption across multi-protocol, multi-vendor enterprise, data center, and IoT ecosystems. He has played a transformational leadership role in delivering AI-enabled cybersecurity, Secure SD-WAN, and SASE solutions, working closely with global organizations including Cisco Systems, Mayo Clinic, Versa Networks, and ExxonMobil. His work spans requirements identification, innovative solution development, and end-to-end cybersecurity architecture and implementation, consistently achieving measurable business and security outcomes. As a Senior Member of IEEE, CCIE, Dharnisha actively contributes to the global research and standards community. He is a Lead Author and Contributor to IEEE and international cybersecurity conferences, and regularly serves as an IEEE Keynote Speaker, Session Chair, Technical Reviewer, Judge, and Mentor. He has also served as a judge and mentor for multiple international AI and cybersecurity hackathons, supporting innovation across academia and industry. His contributions have been recognized through international journal publications, IEEE conference recognitions, and industry awards, including international cybersecurity and innovation honors in Australia, highlighting his impact in bridging academic research with real-world cybersecurity implementation.
Linkedin:- www.linkedin.com/in/dharanishn
https://thesecurityweek.com/revolutionizing-cybersecurity-strategy-expert-dharnisha-narasappa-sets-new-industry-standards-in-sase-and-secure-sd-wan-solutions/

Mr. Linga Reddy Alva

Sr Data Engineer / Data & AI Architect, USA

Linga Reddy Alva is a Sr Data Engineer / Data & AI Architect and IEEE Senior Member and specializes in cloud-native enterprise data engineering, real-time analytics, and advanced AI/ML integration. With over a decade of experience in designing and delivering large-scale data platforms across industries, he has deep expertise in Spark, Databricks, and modern data lakehouse architectures. His work focuses on bridging data engineering with AI innovation, particularly in Generative AI, Agentic AI, and AI-driven automation for enterprise transformation. He has contributed extensively to the Databricks community, published technical articles, and served as a speaker and mentor in professional forums. Linga Reddy Alvahas a proven track record in architecting scalable and responsible AI systems that enhance decision-making, optimize operations, and unlock business value. He is passionate about advancing trustworthy AI practices and mentoring the next generation of data and AI professionals.

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Mr. Linga Reddy Alva

Linga Reddy Alva is a Sr Data Engineer / Data & AI Architect and IEEE Senior Member and specializes in cloud-native enterprise data engineering, real-time analytics, and advanced AI/ML integration. With over a decade of experience in designing and delivering large-scale data platforms across industries, he has deep expertise in Spark, Databricks, and modern data lakehouse architectures. His work focuses on bridging data engineering with AI innovation, particularly in Generative AI, Agentic AI, and AI-driven automation for enterprise transformation. He has contributed extensively to the Databricks community, published technical articles, and served as a speaker and mentor in professional forums. Linga Reddy Alvahas a proven track record in architecting scalable and responsible AI systems that enhance decision-making, optimize operations, and unlock business value. He is passionate about advancing trustworthy AI practices and mentoring the next generation of data and AI professionals.

Srikanth Kavuri

Senior Software QA Automation Engineer, USA

Srikanth Kavuri is a senior technology professional with over a decade of experience in Software Quality engineering, cloud data platforms, and enterprise automation for mission-critical systems. He has led the design and validation of intelligent platforms supporting healthcare, insurance, and public-sector programs, where system reliability, data integrity, and regulatory compliance are essential. His expertise centers on establishing quality engineering as a core architectural discipline for AI-driven systems. Srikanth has developed automation-first validation frameworks, cloud ETL quality controls, and risk-based testing strategies that ensure trustworthy AI outcomes in highly regulated environments. His work addresses challenges such as data drift, model validation, pipeline resilience, and continuous delivery at scale.

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Mr. Srikanth Kavuri

Srikanth Kavuri is a senior technology professional with over a decade of experience in Software Quality engineering, cloud data platforms, and enterprise automation for mission-critical systems. He has led the design and validation of intelligent platforms supporting healthcare, insurance, and public-sector programs, where system reliability, data integrity, and regulatory compliance are essential. His expertise centers on establishing quality engineering as a core architectural discipline for AI-driven systems. Srikanth has developed automation-first validation frameworks, cloud ETL quality controls, and risk-based testing strategies that ensure trustworthy AI outcomes in highly regulated environments. His work addresses challenges such as data drift, model validation, pipeline resilience, and continuous delivery at scale. Beyond industry practice, he serves as a peer reviewer for international journals and IEEE conferences and contributes to scholarly and professional publications. Through keynote speaking and technical leadership, Srikanth advances responsible AI adoption by aligning innovation with accountability, reliability, and long-term system trust.

Shiva Krishna Kodithyala

Senior Engineering Manager, Fintech, USA

Shiva Krishna Kodithyala is a Senior Engineering Manager with 19+ years of experience in Platform Engineering, Quality Engineering (QE), and CI/CD modernization in the fintech domain. He leads large-scale initiatives in release orchestration, enterprise test automation, performance engineering, and AI-assisted test analytics to improve engineering velocity and reliability. Shiva is a published author with interests in AI-augmented quality systems and the synergy of human expertise with intelligent automation. He also heads the AI Collective Dallas and AI Collective North Dallas Chapters and contributes through speaking, mentoring, and judging engagements.

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Mr. Srikanth Kavuri

Shiva Krishna Kodithyala is a Senior Engineering Manager with 19+ years of experience in Platform Engineering, Quality Engineering (QE), and CI/CD modernization in the fintech domain. He leads large-scale initiatives in release orchestration, enterprise test automation, performance engineering, and AI-assisted test analytics to improve engineering velocity and reliability. Shiva is a published author with interests in AI-augmented quality systems and the synergy of human expertise with intelligent automation. He also heads the AI Collective Dallas and AI Collective North Dallas Chapters and contributes through speaking, mentoring, and judging engagements.

Atish Kumar Dash

Solutions Consultant, ADVANCE Solutions Corp, USA

Atish Kumar Dash works as a Solutions Consultant at ADVANCE Solutions Corp. He brings over 7 years of experience in cybersecurity consulting, risk management, cloud security, and technical program management. He has designed and implemented scalable and secure cloud solutions across multiple industries, including e-Commerce/Retail, Consumer-Packaged Goods (CPG), Healthcare, and nonprofit sectors. Atish has expertise in zero-trust security, identity and access management (IAM) solutions, DevSecOps, and cloud architecture. He is also experienced in threat and risk assessment and in delivering strategic IT Service Management services. Passionate about innovation in security, Atish focuses on problem-solving, stakeholder engagement, and driving complex IT projects to successful outcomes by combining technical insight with strategic leadership.

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Mr. Atish Kumar Dash

Atish Kumar Dash works as a Solutions Consultant at ADVANCE Solutions Corp. He brings over 7 years of experience in cybersecurity consulting, risk management, cloud security, and technical program management. He has designed and implemented scalable and secure cloud solutions across multiple industries, including e-Commerce/Retail, Consumer-Packaged Goods (CPG), Healthcare, and nonprofit sectors. Atish has expertise in zero-trust security, identity and access management (IAM) solutions, DevSecOps, and cloud architecture. He is also experienced in threat and risk assessment and in delivering strategic IT Service Management services. Passionate about innovation in security, Atish focuses on problem-solving, stakeholder engagement, and driving complex IT projects to successful outcomes by combining technical insight with strategic leadership.

Gopi Krishna Pamula

Staff Engineer and Independent Researcher, USA

Gopi Krishna Pamula is a Staff Engineer and Independent Researcher with over 18 years of experience in large-scale data systems and applied AI engineering. His research focuses on operationalizing AI through MLOps frameworks, data governance architectures, and experimentation-driven decision systems. He has designed and evaluated end-to-end model lifecycle frameworks that improve reproducibility, monitoring, and AI governance in enterprise environments. Mr. Pamula’s work explores structured AI maturity models that bridge the gap between experimental machine learning and production deployment. He has conducted empirical studies on server-side experimentation and Customer Data Platform (CDP) integration for real-time personalization systems. His research also addresses scalable data governance, introducing engineering-driven quality controls and policy-as-code enforcement.

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Mr. Gopi Krishna Pamula

Gopi Krishna Pamula is a Staff Engineer and Independent Researcher with over 18 years of experience in large-scale data systems and applied AI engineering. His research focuses on operationalizing AI through MLOps frameworks, data governance architectures, and experimentation-driven decision systems. He has designed and evaluated end-to-end model lifecycle frameworks that improve reproducibility, monitoring, and AI governance in enterprise environments. Mr. Pamula’s work explores structured AI maturity models that bridge the gap between experimental machine learning and production deployment. He has conducted empirical studies on server-side experimentation and Customer Data Platform (CDP) integration for real-time personalization systems. His research also addresses scalable data governance, introducing engineering-driven quality controls and policy-as-code enforcement. He has architected data platforms managing hundreds of terabytes of heterogeneous data across cloud and distributed environments. His contributions emphasize measurable performance, reliability, and governance outcomes in AI-enabled systems. His work spans applications in financial services, digital commerce, and pervasive computing environments.