Abstract of Talk:

Cybersickness, or sickness caused by virtual reality (VR), represents a significant threat to the usability of VR applications. Repeated exposure to the same VR stimulus causes a reduction in cybersickness, referred to as Cybersickness Abatement from Repeated Exposure (CARE). This talk presents recent results from efforts to inoculate VR users against cybersickness using specific CARE regimens. This work funded by the US. National Science Foundation and co-led by Jonathan Kelly and Michael Dorneich. 

Brief Profile:

Professor Stephen B. Gilbert is Faculty Director for Undergraduate Research and Creative Activities at Iowa State University as well as for its Honors program. He is also a professor in the Industrial and Manufacturing Systems Engineering department. Previously he led ISU's program in Human Computer Interaction. His research focuses on human-AI teaming and virtual reality cybersickness. He works closely with industry, NSF, and DoD and has also worked in commercial software development and started a company. He earned a BSE in civil engineering and operations research from Princeton and a PhD from MIT in brain and cognitive sciences.

Abstract of Talk:

Metaverse term has different aspects and concepts for the readers. The easy understanding of a reader’s metaverse is a new way of hue cyberspace. Metaverse does not refer to any specific technology but several cutting-edge technologies and how those will be used under specific conditions. Mainly it focuses on social networks in 3D virtual reality mode. It creates a virtual space by the combination of virtually enhanced physical and digital reality. This virtual world provides a lot within its virtual cyberspace, including digital currency, digital and virtual economy, and multiple owners can own it. Users can be able to buy and sell their goods and properties, and even users can sell and purchase other livelihood items including cars, clothes, and other living items. Metaverse claims even more at the next level to use the NFTs technology for digital assets. We expect many opportunities from Metaverse and its related technologies in the near future. Besides of these opportunities, the expected cybersecurity challenges are there as well, some of them such as NFTs, Darkverse, Financial fraud, Privacy issues, Cyber-physical threats, Virtual/augmented/mixed/extended reality threats, social engineering, and other related threats.

Brief Profile:

Professor Dr. Noor Zaman Jhanjhi, often referred to as N.Z. Jhanjhi, holds the esteemed position of Professor in Computer Science with specializations in Cybersecurity and Artificial Intelligence. He currently serves as the Program Director for Postgraduate Research Degree Programmes in Computer Science and Director of the Center for Smart Society (CSS5) at Taylor’s University, Malaysia. Recognized as one of the world’s top 2% research scientists for consecutive years in 2022 and 2023, he is esteemed as one of Malaysia's top three computer science researchers. Notably, he was honored as an Outstanding Faculty Member by MDEC Malaysia in 2022.

Prof. Jhanjhi boasts a prolific publication record with numerous highly indexed works in WoS/ISI/SCI/SCIE/Scopus, accumulating a collective research impact factor exceeding 1000 points. His Google Scholar H-index stands at an impressive 65, with an I-10 Index approaching 291, and a Scopus H-index of 42. With over 600 publications to his credit, including several international patents in Australia, Germany, the UK, and Japan, Prof. Jhanjhi has significantly contributed to the academic discourse.

An accomplished editor and author, he has curated over 50 research books published by esteemed publishers such as Springer, IGI Global USA, Taylor & Francis, IET, Elsevier, Wiley, Bentham, and Intech Open. Prof. Jhanjhi excels in mentoring postgraduate scholars, with over 38 scholars graduating under his tutelage. He also serves as Associate Editor and Editorial Assistant Board member for reputable journals and has received accolades such as the Outstanding Associate Editor award for IEEE ACCESS.

Renowned as a top-tier reviewer by Publons (Web of Science), Prof. Jhanjhi has evaluated over 60 theses as an external Ph.D./Master thesis examiner for universities worldwide. His extensive academic qualifications span 10 years and encompass accreditation bodies such as ABET, NCAAA, and NCEAC. Prof. Jhanjhi's diverse research interests encompass Cybersecurity, AI, IoT Security, Wireless Security, Data Science, Software Engineering, and Unmanned Aerial Vehicles (UAVs). Additionally, he has been invited as a keynote speaker for over 60 international conferences and has chaired numerous international conference sessions.

https://expert.taylors.edu.my/cv/noorzaman.jhanjhi
https://scholar.google.com/citations?hl=en&user=J6QVIncAAAAJ&view_op=list_works

Abstract of Talk:

Africa stands at a pivotal moment in its energy transition. Rapid urbanization, expanding electrification, increasing penetration of renewable energy resources, growth in distributed energy systems, and the need for resilient and affordable electricity are creating both significant challenges and unprecedented opportunities. Simultaneously, the modern era of Artificial Intelligence (AI)—driven by machine learning, deep learning, generative AI, foundation models, edge intelligence, and advanced computational capabilities—is redefining how complex infrastructures are designed, operated, and optimized. For electric power systems, AI presents transformative opportunities to leapfrog traditional approaches and accelerate the development of intelligent, resilient, and sustainable energy systems.

This keynote will present a forward-looking perspective on the opportunities and challenges of the modern AI era with applications to electric power systems, emphasizing their relevance to emerging and developing economies, particularly in Africa. The keynote will explore how AI can enable smarter grid operations, renewable energy integration, intelligent monitoring, forecasting, adaptive protection and control, predictive maintenance, energy management, digital twins, cybersecurity, and autonomous grid-edge intelligence for distributed energy resources, microgrids, and electric transportation.

The keynote will also address critical challenges that must be overcome for responsible and effective deployment of AI in mission-critical infrastructures. These include issues of trustworthiness, explainability, robustness, data scarcity and quality, cyber resilience, infrastructure limitations including energy sustainability for AI data centers, workforce preparedness, policy and regulation, and the integration of human expertise with intelligent decision-making systems. Opportunities for AI-enabled innovation that can support universal energy access, improve grid reliability, and foster sustainable economic development across the African continent will be discussed.

Drawing from decades of pioneering research and global experiences in computational intelligence and intelligent power systems, this keynote will provide insights into the future of AI-driven energy systems and inspire pathways for research, education, innovation, and international collaboration to build the next generation of intelligent and resilient power infrastructures.

Brief Profile:

Professor G. Kumar Venayagamoorthy is an internationally recognized leader in artificial intelligence, intelligent power systems, and smart grid technologies. He is the Duke Energy Distinguished Professor of Power Engineering and Professor of Electrical and Computer Engineering at Clemson University, USA, where he has served since 2012. He is also the Founder and Director of the Real-Time Power and Intelligent Systems Laboratory, a globally recognized research laboratory advancing next-generation intelligent energy systems. In addition, he holds the position of Extraordinary Professor in the Department of Electrical, Electronic and Computer Engineering at the University of Pretoria, South Africa.

A globally respected scholar, innovator, and thought leader, Professor Venayagamoorthy’s work has significantly shaped the field of computational intelligence applications in power and energy systems, helping pioneer advances in intelligent power systems, smart grids, and AI-driven energy technologies. His research spans artificial intelligence, machine learning, smart grids, power system dynamics and control, renewable energy integration, cybersecurity, and scalable computational intelligence for complex engineering systems. He is an inventor of transformative technologies in scalable computational intelligence and dynamic stochastic optimal power flow, contributing to the evolution of modern intelligent energy infrastructures.

Professor Venayagamoorthy earned his PhD and MScEng degrees in Electrical Engineering from the University of Natal, Durban, South Africa. He received his BEng degree with First-Class Honors in Electrical and Electronics Engineering from Abubakar Tafawa Balewa University, Nigeria, and later earned an MBA in Entrepreneurship and Innovation from Clemson University, USA—reflecting his unique blend of deep technical expertise and innovation leadership.

His pioneering contributions have earned international recognition, including the prestigious U.S. National Science Foundation (NSF) CAREER Award and the U.S. Office of Naval Research Young Investigator Award. He has authored more than 600 refereed technical publications, with over 26,000 citations, an h-index of 76, and an i10-index exceeding 300, underscoring the global influence of his scholarship.

An engaging and sought-after speaker, Professor Venayagamoorthy has delivered over 500 technical presentations, including more than 40 keynote and plenary lectures, in over 50 countries worldwide. His ability to bridge cutting-edge research with practical solutions for real-world energy challenges has made him a prominent voice on the future of AI and sustainable energy systems.

Professor Venayagamoorthy is a Fellow of the IEEE, IET (UK), the South African Institute of Electrical Engineers (SAIEE), and the Asia-Pacific Artificial Intelligence Association (AAIA), and a Senior Member of the International Neural Network Society (INNS), where he serves as the 2026 President-Elect. He founded and chairs the IEEE Power & Energy Society Working Group on Intelligent Control Systems and the IEEE Computational Intelligence Society Task Force on Smart Grid, shaping global research and practice at the intersection of AI and energy. He serves in editorial leadership roles across leading IEEE and Elsevier journals and is the Editor of the IEEE Press Series on Power and Energy Systems.

A distinguished global ambassador for engineering and innovation, Professor Venayagamoorthy is a current and past Distinguished Lecturer/Visitor of five IEEE societies—Computer Society, Computational Intelligence, Industry Applications, Industrial Electronics, and Power & Energy. He was a 2024 U.S. Fulbright Scholar to South Africa and will serve as General Chair of the 2027 International Joint Conference on Neural Networks (IJCNN) in Cape Town, South Africa, one of the world’s premier conferences in artificial intelligence and neural networks.

Abstract of Talk:

Unmanned Aerial Vehicles (UAVs) are increasingly used in applications such as surveillance, agriculture, disaster management, logistics, and defense. However, their reliance on wireless communication, GPS, and autonomous technologies makes them vulnerable to a wide range of cyber threats. Attacks such as GPS spoofing, command-and-control hijacking, telemetry interception, and firmware tampering can disrupt operations and compromise safety.

This talk presents an overview of the cybersecurity challenges facing modern UAV systems, highlighting common attack vectors, real-world incidents, and their potential impact. It also discusses current defense mechanisms, including secure communication, authentication, intrusion detection, and AI-based threat detection. Finally, the session explores emerging research directions for developing secure, resilient, and trustworthy UAV systems for future autonomous applications

Brief Profile:

Dr. Meenakshi Tripathi is an Associate Professor in the Department of Computer Science and Engineering at Malaviya National Institute of Technology (MNIT), Jaipur. She earned her Ph.D. in Computer Science and Engineering from MNIT and brings over two decades of teaching and research experience in the fields of computer science and information security. Dr. Tripathi has authored more than 150 research papers published in reputed journals, conference proceedings, and edited volumes, including IEEE Transactions, International Journal of Computer Science, Computer Networks, and Journal of Supercomputing, among others. She has successfully supervised four Ph.D. scholars and is currently guiding five more. Dr. Tripathi actively contributes to several government-sponsored research projects funded by agencies such as DST, MEITY, DSIR, and DST Rajasthan, among others. She also holds two patents in her name: "A Bluetooth-Based Anti-Theft System" and "Blockchain-Integrated Device for Network Security." In addition to her academic contributions, she holds several prominent professional roles, including Dean at Vishwakarma Skill University, Jaipur; Board of Studies (BoS) member at the University of Kota and the Central University of Rajasthan; and former Chairperson of the CSI Jaipur Chapter. She was honored with the Active Participation Woman Award for Research by CSI-India in 2018. She has served as the Organizing Chair for numerous national and international conferences, faculty development programs (FDPs), and workshops, such as ICCIS 2023, ANTS 2023, ETNCC 2023 & 2024 (Namibia), ICDLAIR 2019, the ATAL FDP on "Cyber Security", as well as FDPs on "Software Defined Networks" and "Technical Writing: Tools and Techniques". She has also received funding from IEEE CIS to organize Summer Schools in 2022, 2023, and 2024. Dr. Tripathi is a Senior Member of IEEE, a member of ACM, and a life member of CSI. Her research interests include Cybersecurity & Adversarial Learning, Blockchain, Internet of Things (IoT) & Edge Security, Wireless Sensor Netwokrs, AI-generated Content and Deepfakes , Drone Swarms and their issues.

Abstract of Talk:

The rapid growth of electric vehicles (EVs) worldwide is expected to increase the volume of second-life EV components, particularly electric motors, many of which retain significant functional value. This webinar focuses on the characterisation of second-life EV motors for stationary microgrid power generation, especially in the context of distributed renewable microgrids in Sub-Saharan Africa. Given the high torque density, efficiency and reliability of EV motors, especially permanent magnet synchronous motors (PMSMs) and induction motors (IMs), present a promising opportunity for second-life applications. Through motor analysis and reconfiguration strategies, this webinar aims to evaluate the technical viability, adaptation potential and integration pathways of retired EV motors for electricity generation. This work supports circular economy principles and localisation of technology, aligning with efforts under the UKRI-funded CEPREC project.

Brief Profile:

Dr Udochukwu B. Akuru is a Senior Lecturer in the Department of Electrical Engineering at Tshwane University of Technology and an NRF C1-rated researcher with expertise in the design and optimisation of electrical machines for renewable energy technologies and sustainable energy systems. He received the B.Eng. and M.Eng. degrees from the University of Nigeria, Nsukka, in 2008 and 2013, respectively, and the PhD degree in electrical engineering from Stellenbosch University, South Africa, in 2017. He held a Postdoctoral Research Fellowship with Stellenbosch University from 2018 to 2019 and was a Lecturer with the University of Nigeria from 2011 to 2019. He has authored or coauthored numerous papers and serves as a reviewer for several journals and conferences. He served as the General Chair of the 33rd Southern African Universities Power Engineering Conference (SAUPEC 2025). He is currently a Professional Registered Engineer with the Engineering Council of South Africa (ECSA) and the Council for the Regulation of Engineering in Nigeria (COREN), he is a Senior Member of IEEE & SAIEE, as well as a volunteer with various societies and committees, including IEEE IAS EMC, IEEE IES EMTC and SAIEE RMS. He is a recipient of several grants and awards, including the prestigious Jorma Luomi Student Forum Award at the 2018 International Conference on Electrical Machines (ICEM) and the 2020 TWAS-DFG Research Fellowship. He is also an Associate Editor of the IEEE Transactions on Industry Applications and IET Electric Power Applications, country lead for the UKRI-funded Circular Economy Powered Renewable Energy Centre (CEPREC) project, and the current Chairperson of the IEEE South Africa Section.

Abstract of Talk:

Generative Artificial Intelligence (GenAI) is fundamentally reshaping higher education worldwide, transforming how knowledge is created, accessed, and assessed. From AI-powered tutors and intelligent learning assistants to advanced large language models, these technologies are redefining the educational landscape and creating unprecedented opportunities for personalized learning and innovation. At the same time, they raise profound questions about academic integrity, assessment validity, learner authenticity, and the future credibility of university qualifications. This talk explores the emerging paradigm of Responsible Artificial Intelligence (RAI) as a strategic foundation for building trust in higher education. Rather than viewing AI as a threat that must be prohibited or outpaced, the session argues that institutions should embrace AI responsibly through ethical governance, transparent policies, human oversight, and the redesign of authentic assessment practices. The presentation introduces a practical framework that aligns AI innovation with the core values of fairness, accountability, transparency, inclusiveness, and educational quality. It discusses how competency-based assessment, reflective learning, project-based evaluation, and oral defence mechanisms can ensure that graduates continue to demonstrate genuine knowledge, critical thinking, creativity, and professional capability in an AI-enabled world. Drawing upon international developments in AI ethics, digital transformation, and quality assurance, this session will provide educators, researchers, policymakers, and institutional leaders with insights into creating resilient and trustworthy educational systems. The discussion will also consider the evolving role of universities in preparing graduates who can collaborate effectively with AI while maintaining human judgment, ethical reasoning, and lifelong learning capabilities. Ultimately, the session argues that the future of higher education depends not on resisting artificial intelligence, but on governing and integrating it responsibly. By embedding Responsible AI principles into teaching, learning, and assessment, institutions can strengthen public trust, safeguard academic integrity, and equip learners to thrive in the rapidly evolving global knowledge economy.

Keywords: Responsible Artificial Intelligence, Generative AI, Higher Education, Academic Integrity, Authentic Assessment, AI Governance, Trustworthy AI, Digital Transformation, Educational Innovation, Quality Assurance.

Brief Profile:

Dr. Saroj Hiranwal is the Course Director – IT Programs at the Australian Institute of Advanced Technologies (AIAT), Adelaide, Australia. She also serves as Program Coordinator for BITS and Sr, Lecturer (Higher Education) in the department of Information Technology & Security at the Victorian Institute of Technology, Adelaide Campus, South Australia. She has made significant academic and research contributions in the areas of machine learning, artificial intelligence, and real-time systems. Her research interests further extend to high-performance scientific computing, cloud computing, network security, image processing, data analytics, and edge computing. Her work supports the development of advanced technological solutions across diverse sectors including healthcare, agriculture, smart cities, education, marketing, and finance. Dr. Hiranwal has authored more than 50 research papers published in reputed international journals and conferences. Her research demonstrates a strong interdisciplinary focus, integrating theoretical foundations with applied and industry-relevant innovations. She began her academic career in 2006 as a Lecturer and progressed through senior academic roles including Senior Lecturer, Reader, and Professor, reflecting sustained excellence in teaching, research, and academic leadership. Dr. Hiranwal received her Bachelor of Engineering in Information Technology from the University of Rajasthan, Jaipur, India (2004). She completed her Master of Technology in Information Technology from the Allahabad Agricultural Institute, Allahabad, India (2006), and earned her Ph.D. in Computer Science & Engineering from Suresh Gyan Vihar University, Jaipur, India (2014).

Abstract of Talk:

GAfrica's reliance on foreign-owned cloud platforms, including Microsoft Azure, Amazon Web Services (AWS), Google Cloud, Meta, and X, for storing and processing government, business, research, and citizen data has increased due to the continent's digital transformation. Although these platforms offer scalable digital services, there are increasing worries about data sovereignty because sensitive African data is still subject to foreign jurisdictions, including laws like the US CLOUD Act. On the other hand, nations like China and a number of European countries have made sovereign cloud infrastructure a top priority in order to bolster national control over strategic data assets. To lessen reliance on outside cloud providers and encourage locally managed digital infrastructure, this study suggests a Data Sovereignty Model Southern Africa. 

The study expands on earlier research emphasising the need for locally managed digital ecosystems and the data divide in Africa. Using secondary data analysis and semi-structured interviews with ICT specialists from the Eastern Cape Provincial Government, the study takes a qualitative approach.

Results demonstrate how an over-reliance on foreign cloud services restricts national control over vital data, raises regulatory concerns, and hinders the growth of local digital innovation and artificial intelligence. 

To improve digital resilience throughout Southern Africa, the suggested model incorporates multi-stakeholder cooperation, cybersecurity governance, regional data centers, sovereign cloud infrastructure, and data localisation. In order to promote digital sovereignty, safeguard vital data, and enhance Africa's long-term digital independence and economic competitiveness, the study offers a useful framework for government, business, and academia.

Key Words:  Data Sovereignty, Secure Cloud Governance, Critical National Infrastructure, Digital Transformation, Cloud Computing and Cybersecurity Governance. 

Brief Profile:

Prof. Nobert Rangarirai Jere is an Associate Professor of Computer Science at the University of Fort Hare, South Africa, and currently a National Research Foundation Y2-rated researcher. A Pan-Africanist scholar, he holds a PhD in Computer Science and has published more than 80 peer-reviewed journal articles, conference papers, and book chapters. His research focuses on sustainable digital solutions, particularly in Machine Learning, Artificial Intelligence, Human–Computer Interaction, ICT for Development, and digital transformation in low-resource settings. Nobert is the Chief Editor of the Book entitled: Digital inequality in a developing context: A multifaceted approach. He has supervised over 30 postgraduate students to completion at PhD and Masters levels across Computer Science, Informatics, and Information Systems.

Nobert’s work is distinguished by its strong community engagement ethos. He applies approaches such as Living Labs and participatory design to ensure that emerging technologies move beyond purely technical fixes to empower disadvantaged and marginalised communities. His contributions span digital health, agriculture, education, and e-governance, with an emphasis on co-designing ICT solutions that are inclusive, locally grounded, and socially just.

He collaborates widely across multidisciplinary research networks in African countries including Namibia, Zimbabwe, South Africa, Nigeria, Kenya, Malawi, Zambia, Mauritius, and Egypt, as well as with international partners in Finland, Germany, Denmark, Sweden, and India.

As a leader in pan-African digital transformation initiatives, Nobert has co-chaired major Association for Computing Machinery (ACM) and Institute of Electrical and Electronics Engineers (IEEE) conferences, served as a reviewer for leading journals, and collaborated on large-scale international projects addressing digital inequality and sustainable technology adoption. 

Abstract of Talk:

Large language models have taken the world by storm. They are undoubtedly effective and have been able to perform tasks seemingly impossible for automated system only a few years ago. However, there is a limit to their capabilities and effectiveness. In this talk I provide an overview of what could perhaps be construed as limitations of these models. I provide my opinion on what would most likely be the approach that would be taken as we move forward in this domain.

Brief Profile:

Abhishek Srivastava is a Professor of Computer Science and Engineering at IIT Indore. His research spans varied domains but most specifically is placed at the intersection of physical systems and artificial intelligence. His group is dwelling into the possibilities of extending the realms of AI and machine learning to the physical world, an endeavour often labelled as physical AI.

Abhishek has been with IIT Indore since 2012 and has served at various administrative positions including Dean of Faculty Affairs, Dean of Student Affairs, and Head of Computer Science and Engineering. He was an Assistant Professor at the Rose-Hulman Institute of Technology, Terre Haute, USA; and has a Ph.D. in Computing Science from the University of Alberta, Canada.

Abstract of Talk:

Privacy and Security are hot and complicated topics in the modern society within which we live. Information and Communication Technology (ICT) have always been accompanied with security and privacy techniques. Security ensures protection of data of parties in the eco system from unauthorised access and privacy lets the information to be computed and transmitted such that it seems unintelligible to any unauthorised person. Traditionally, these goals have been achieved using private and public key cryptography. A novel scenario in which many parties want to jointly compute some function of their input data without disclosing this private data is considered by many researchers. Consider a set of parties who do not have trust in each other, nor in the channel by which they communicate. Even then the parties wish to correctly compute some common function of their local inputs, while keeping their local data secure from others. This, in a nutshell, is the problem of secure multi-party computation (SMC). This problem is fundamentally in cryptography and in the study of distributed computations. This problem is most relevant for performing privacy preserving data mining. In this talk, first, we will discuss several aspects of research philosophy with SMC. We first present the definition of this problem in various situations. Next, we discuss the problem of hiding the data form trusted third party (TTP). After that we take another problem, which enables the SMC to perform the correct computation of the result as well as the authentication of computational body. Finally, we discuss the problem of dealing with adversaries in SMC and minimizing their effects. SMC can be applied to current computing paradigm like cloud computing, Smart Grid etc. We present a model to show how SMC tools can be accompanied with various applications. Keywords: Secure Multi-Party Computation, Security, Privacy, Cryptography, Privacy Preserving data mining.

Brief Profile:

Dr. Durgesh Kumar Mishra has received M.Tech. degree in Computer Science from DAVV, Indore in 1994 and PhD degree in Computer Engineering in 2008. Presently, he has been working as a Vice Chancellor, Symbiosis University of Applied Sciences Indore and Director SCSIT Symbiosis University of Applied Science Indore,  Former Director, Microsoft Innovation Centre at SAIT LAB, India. He is also a visiting faculty at IIT-Indore, MP, India. He has 33 years of teaching and 15 years of research experience. He has completed his PhD under the guidance of late Dr. M. Chandwani on “Secure Multi-Party Computation for Preserving Privacy” has implementation on Data Mining and Big Data Analytics. He has published more than 120 papers in refereed international/national journals and conferences including IEEE, ACM conferences. He has organized many such conference like WOCN, CONSEG, ICTBIG (Big Data Analytics), CSIBIG (Big Data Analytics), ICDB-ACM-WIR (Data Sciences and Big Data Analytics) in the capacity of conference General Chair and editor of conference proceeding. His publications are listed in DBLP, Citeseer-x, Elsevier and Scopus. He is a Senior Member of IEEE and held many positions like Chairman, IEEE MP-Subsection (2011-2012), and Chairman IEEE Computer Society Bombay Chapter (2009-2010). Dr. Mishra has also served the largest technical and profession association of India, the Computer Society of India (CSI) by holding positions as Chairman, CSI Indore Chapter, State Student Coordinator- Region III MP, Member-Student Research Board, Core Member-CSI IT Excellence Award Committee. At present he is Chairman CSI Division IV Communication at National Level (2014-2016). Dr. Mishra has delivered his tutorials in IEEE International conferences in India as well as abroad. He is also the programme committee member, and reviewer of several international conferences. He visited and delivered his invited talk in Taiwan, Bangladesh, Singapore, Nepal, USA, UK and France. He has authored a book on “Database Management Systems”. His five books are published by prestigious publisher Springer as the capacity of editor one of them has titled “Big Data Analytics” and second “Data Science and Big Data Analytics”. He had been Chief Editor of Journal of Technology and Engineering Sciences. He has been also serving as member of Editorial Board of many national and international refereed journals. He has been a consultant to industries and government organizations like sales tax and labour department of government of Madhya Pradesh, India. He has been awarded with “Paper Presenter award at International Level” by Computer Society of India. Recently in month of June, He visited MIT Boston and presented his presentation on Security and Privacy he has also Chaired a panel on “Digital Monozukuri” at “Norbert Winner in 21st century” at BOSTON. He became the Member of Bureau of Indian standards (BIS), Govt of India for Information Security domain. Recently, Microsoft invited to deliver his on Innovation at Xi’an China. Computer Society of India announces for Patron Award of Computer Society of India to Dr. Mishra.