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3rd International Conference On Information Science & Communication Technology 2025
15 April - 16 April 2025
Venue:
ICCBS Auditorium,University Of Karachi , Auditorium DHA Suffa University
About Us
The University of Karachi holds a unique position in the country’s educational system. As a respected research and reaching institution, it is committed to intellectual leadership, and to excellence in both developing knowledge and conveying that knowledge to its students. The University of Karachi meets the commitments to preserve knowledge through its instructional and research programs for higher level education.
The Department of Computer Science, University of Karachi, was established by a resolution of Academic Council in its meeting, held on November 27. 1984, and it began functioning in the academic year 1985-86 by offering a Degree Program in Master of Computer Science (MCS) and become one of first institutions in Karachi imparting education in Computer Science and Technology. The Department also offers evening program leading to Post Graduate Diploma (PGD) in Computer & Information Sciences. In the year 1995; Department started MCS evening program, on self-finance basis, to cater the growing demand of professionally skilled manpower in the field of Computer Science.
To further strengthen the discipline of Computer Science by producing high quality pro with sound fundamental knowledge. the department has started in the year 1996 and 2001 BS (Computer Science) in the morning and evening, a four year degree program leading to MS (Computer Science), a two year program after completing the BS. MS programs leads to PhD (Computer Science) program. The University of Karachi has excellent supporting faculty in the subjects of Mathematics, Statistics, Physics and other allied subjects for teaching these courses at BS (Computer Science) level. The first batch of BS (Computer Science) of the morning program passed in 1999.
The Department of Computer Science offers a wide range of courses at various levels. The purpose of these courses is to provide opportunities for advanced studies and research in the field of Computer Science and information Technology and related fields, and also to produce highly skilled computer personnel to cater the need of Computer professionals in the country and abroad. The Department maintains high standard of education through continuous assessment and with periodic tests, quizzes, seminars and field projects. The Department maintains close link with professional organizations at national and international levels, to enhance professional and academic standard of the faculty and as well as of the students.
CONFERENCE AIMS AND OBJECTIVES
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations.
The ICISCT 2025 event aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of INFORMATION SCIENCE and COMMUNICATION TECHNOLOGY. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of INFORMATION SCIENCE and COMMUNICATION TECHNOLOGY.
KEYNOTE SPEAKERS

Hironori Washizaki
Impact of IEEE Computer Society in Advancing Emerging Technologies including LLM/AI and Software Engineering
Abstract
To be the leading provider of technical information, community services, and personalized services to the world’s computing professionals, the IEEE Computer Society has been strategically providing activities and products related to emerging technologies and professional and educational activities, including the Technology Predictions and the Guide to the Software Engineering Body of Knowledge (SWEBOK Guide). This talk first provides an overview of IEEE CS’s strategic areas, including engaging our members, engaging the industry, and leading new areas such as AI and Society, with the cross-cutting strategic themes, including the empowerment and diversification of our volunteer base, nimbleness in execution, and diversity and inclusion. Then, the talk explains the latest version of the Technology Predictions 2025, which foresees 22 breakthrough technologies (incl. LLM/AI Agents, Mis/Disinformation, AI-based Medical Diagnosis, Next-gen cyberwarfare, and more) to shape the future of our world for decades to come, and the SWEBOK Guide V4.0, which reflects the current state of generally accepted knowledge derived from the interaction between software engineering theory and practice. Furthermore, the talk introduces related endeavors and initiatives, including industry-focused events such as the Generative AI Summit and the SWEBOK Summit, and the engagement and career development opportunities such as the CS Juniors program and professional certification programs.
Profile
Hironori Washizaki is the 2025 IEEE Computer Society (CS) president. He is a professor and the associate dean of the Research Promotion Division at Waseda University. He is a visiting professor at the National Institute of Informatics and an advisor at the University of Human Environments. He also works in the industry as an outside director and advisor at eXmotion and SI&C. He has led professional and educational activities at the IEEE CS, including the evolution of the Guide to the Software Engineering Body of Knowledge (SWEBOK) and the CS Juniors program. He has led many academia-industry joint research and large-funded projects in systems and software requirements, design, reuse, quality assurance, and AI software engineering. He leads a professional IoT/AI/DX education project called “Smart SE.” Since 2015, he has been the convenor of ISO/IEC/JTC1/SC7/WG20 to standardize bodies of knowledge and certifications in systems and software engineering. He has been the IPSJ SIG Software Engineering (SIGSE) chair since 2021

Prof Mariofanna Milanova
At the Intersection of Generative AI, Human Augmentation, and Innovations
Abstract
The talk presents the integration and synergy between generative AI, human augmentation, and technologies. It effectively conveys advanced, innovative concepts, appealing to an audience interested in the future of AI and technology. Every participant will receive a complimentary code from NVIDIA to test the models
Profile
Professor of Computer Science at the University of Arkansas, Senior Member of IEEE, NVIDIA Certified Instructor for Deep Learning
Dr. Mariofanna Milanova is a professor in the Department of Computer Science at UA Little Rock and has been a faculty member since 2001. She received a M.Sc. in Expert Systems and Artificial Intelligence and Ph.D. in Engineering and Computer Science from the Technical University, Sofia, Bulgaria. Dr. Milanova conducted post-doctoral research in visual perception at the University of Paderborn, Germany. Dr. Milanova has extensive academic experience at various academic and research organizations worldwide.
Dr. Milanova is an IEEE Senior Member, Fulbright U.S. Scholar, and NVIDIA Deep Learning Institute University Ambassador. Dr. Milanova’s work is supported by NSF, NIH, DARPA, DoD, Homeland Security, NATO, Nokia Bell Lab, NJ, USA and NOKIA, Finland. She has published more than 130 publications, over 53 journal papers, 45 book chapters, and numerous conference papers. She also has two patents

Prof Arthur James Swart
Using Informetrics to gain salient insights into Doctoral thesis over a 5-year period
Abstract
The successful completion of a PhD study is a noteworthy achievement that few people in the world experience. It represents the pinnacle of academic studies at a university which opens the doors to several opportunities. Despite the benefits associated with a PhD degree, it remains a daunting task. The purpose of this study is therefore to present an analysis of 72 PhD theses that were completed over a 5-year period (2014 – 2018) at the Central University of Technology (CUT), Free State, to help prospective doctoral candidates to better understand what is required, or acceptable, at this level of research. It can further create awareness among researchers in Higher Education about the type of research that was completed at CUT over this period. An ex-post facto study is employed where informetric analysis is used to obtain quantitative data. Key results indicate that 61% of the PhD students worked under the guidance of two or more promotors. 44% of the theses contained between 200 and 300 pages, with none below 100. PDF file sizes varied from less than 2 MB to more than 12 MB. A recommendation is made to create awareness among prospective doctoral candidates of the results of this study, further encouraging them to also include a sentence in their abstracts that clearly defines the scientific contribution of their study.
Profile
James completed a National Diploma in Electrical Engineering at a local technical college in Bloemfontein in 1993, while working as an apprentice for a national telecommunications company in South Africa (SA). He then joined the Vaal University of Technology as a laboratory technician in 1995 and was promoted to a Senior Lecturer in 2007 after obtaining a Masters in Education. James obtained a Doctorate in Electrical Engineering in 2011 and then moved to the University of South Africa in 2013, the largest distance-learning institute in Africa. In 2014, he joined the Central University of Technology, where he currently serves as an Associate Professor in the field of Electrical Engineering and as the Principal Research Leader for a Research Group in Engineering Education where he focuses on the Scholarship of Teaching and Learning.
James has over 30 years of academic experience, 5 years of Industry experience and more than 200 publications. He is currently registered as a Professional Engineering Technologist with the Engineering Council of South Africa (ECSA) and is a rated scientist with the National Research Foundation (NRF) of SA. James obtained a Commendation for Teaching from the Council of Higher Education (CHE) of SA in 2015 and served as the Treasurer for the South African Society of Engineering Education (SASEE) between 2017 and 2019.
He has presented many motivational presentations at different universities in India and spent a week lecturing in Bangalore during 2024. His greatest assets are academic writing, mentorship and public speaking.

Dr. Vaidas Giedrimas
AI-enhanced Crowdsourcing as an Element of Information Systems Development
Abstract
he Information Systems Development process consists of a few elements, which may look contradictory at first sight. On the one hand, we reached huge progress in automated software development. It is possible to make a priori correct large-scale distributed software using formal methods. On the other hand, the enthusiasts of crowdsourcing and the participants of open source projects emphasize the importance of the human factor. The authors of this paper believe that in computer science the composition of crowdsourcing and automated software development is possible as in other sciences where two or more former competitive theories eventually complement each other. Moreover, it leads to synergy. The conceptual framework of the methodology for crowdsourcing-based software development incorporating artificial intelligence elements is discussed in this presentation.
Profile
Dr. Vaidas Giedrimas is an Associate Professor and Head of the ICT Research Group at Panevėžys University of Applied Sciences (PANKO), Lithuania, and a faculty member at Vilnius University Šiauliai Academy (Lithuania). He specializes in distributed software systems, including grid, cloud, edge, and mobile computing, component-based software engineering, and service-oriented architectures. A highly sought-after speaker, Dr. Giedrimas has delivered keynote addresses at numerous international conferences, including ICCTSAI 2021 (UK), ICISCT 2017 (Uzbekistan), AICT 2013 (Azerbaijan), and ISD 2014 (Croatia). His expertise in software engineering, digital forensics, and computational methodologies, combined with his ability to present complex topics in an engaging and interdisciplinary manner, has earned him recognition as a thought leader in the field. Dr. Giedrimas is actively involved in international research collaborations, serving as a Management Committee member for European COST Actions such as DigForAsp (Digital Forensics), BETTY (Behavioural Types for Reliable Large-Scale Software Systems), and Reversible Computation). He also represents Lithuania on the NorduGrid Collaboration Board, contributing to advancements in high-performance computing.

Prof Dr Enrique Nava
Developing applications with 3D depth digital image processing
Abstract:
3D digital image processing techniques are now routinely used in many applications: medical imaging, environmental assessment, remote sensing, etc. In this paper, we will present some new trends, involving the use of new technology depth cameras with a very broad range of new applications, including gesture recognition and hand tracking, 3d modeling, metaverse, underwater video processing and hyperspectral remote sensing. Using 3D depth cameras, we obtain sparse point cloud data which imposes some new needs on research to be solved for building new applications. The aim of this talk is to present some basic and new ideas to inspire new research in this area, as well to present actual research projects in this field.
Profile:
Prof Dr. Enrique Nava finished his PhD thesis under the supervision of Prof. J.M.
Rebollar on the design of circular waveguide polarizer devices on
microwaves/millimeter waves to be used on communication satellite antennas.
As a result, a newly developed computer software, based on a full solution of
electromagnetic equations, was able to predict polarizer behavior with enough
accuracy to be used oforindustrial optimization and design purposes. This
software was the only one available at that time and was transferred to relevant
research institutions and companies in that field (eg. INTA) for industrial use.
After obtaining a position as Associate Professor (Profesor Titular de Universidad)
at the University of Málaga in 1994, I focused my research work on
interdisciplinary applications of digital signal and image processing, with many
collaborations in medical, chemical, biological, and industrial fields. Since 1995, I
have been the head of the Andalusian research group ‘Radiological Image
Digital Processing’ (TIC128), with eight post-doctoral researchers in Engineering
and Medicine background. I finished much foreign research stays: Kurt
Rossmann Lab (2000), at the University of Chicago (USA), working on
mammography computer-aided diagnosis algorithm development; at Institut
für Technische Akustik (2011 and 2014) at RWTH (Aachen, Germany), working
advanced array processing techniques for the location of acoustic sources; at
University of New South Wales (UNSW@ADFA, 2012, Camberra, Australia) working
in digital signal processing applied to bioecology termites and ants; and on
oceanographic research ships (Spanish Institute of Oceanography, IEO
(MEDMEDIA’smpaign, 2015 and 2017), working on acoustics and digital image
processing for fisheries research.

Dr. Bhagwan Das
Dr. Bhagwan Das
Abstract
In an era marked by climate change and increasing humanitarian crises, the need for integrated solutions has never been more urgent. This keynote addresses the intersection of climate literacy and technological innovation, highlighting how informed communities can leverage cutting-edge tools to enhance their resilience and response strategies. Drawing on case studies from around the globe, we will explore successful initiatives that have utilized data analytics, remote sensing, and community engagement to tackle the multifaceted challenges posed by climate change. By fostering a deep understanding of climate dynamics, we can empower individuals and organizations to act decisively and effectively in times of crisis. Participants will leave with actionable insights on developing climate literacy programs that incorporate technology, building collaborative frameworks that unite stakeholders from diverse sectors, and creating scalable solutions that respond to the specific needs of vulnerable communities. Together, we can transform knowledge into action, driving impactful humanitarian efforts that adapt to and mitigate the effects of our changing world. Join us in this critical conversation to redefine the future of humanitarian aid in a climate-impacted landscape.
Profile
Currently, Dr. Bhagwan Das is working as Senior Research Fellow at Melbourne Institute of Technology, Australia. Dr. Bhagwan Das succeed to achieve a patent and achieved 8 copyrights for his research and innovation. Dr. Bhagwan Das is the recipient of BEST MAN INVENTOR 2016 award given by International Federation of Inventors Associations (IFIA), Geneva, Switzerland. He won COMMERCIAL AWARD given by Universiti Tun Hussein Onn Malaysia (UTHM) in 2016. He also received SPECIAL AWARD from Malaysian Research & Innovation Society (MyRIS) in iMIT SIC 2017 at UUM, Kadeh, Malaysia. He has published more than 100 articles in reputed ISI impact factor journals and in conferences. He is member of professional bodies, Fellow Member- Engineer Australia, Member-Pakistan Engineering Council, Member-Pakistan Engineering Congress, Senior Member-IEEE (USA), Member-IFIA (Switzerland). Dr. Bhagwan Das is Senior IEEE Member. He remain Chair, IEEE Computer Society 2020-2023, Secretary, IEEE IES 2021-2023. His area of research includes Climate Literacy, Internet of Things, AI and Data Sciences.

Prof hui Wang
Machine learning for virus detection in a viral infection outbreak.
Abstract
COVID-19 is still here, and the world is still living in the cloud of the global epidemic. Measures of epidemics management are still in place in many places in the world, which include (1) prevention (lockdown, social distancing, face masks, vaccine) (2) detection (testing and diagnostics) (3) response (isolation, therapeutics). Virus detection is an important means to manage an epidemic. Gold standard methods are reliable but are typically costly and time consuming; alternative methods are cheaper and faster but are typically less reliable. UK EPSRC has funded a study on virus detection using spectroscopy and machine learning. If successful, it will provide the basis for developing new virus testing systems that are cheaper and faster (than gold standard methods) but also reliable. This talk will present an overview of epidemics management measures, the findings from this UK EPSRC funded project on virus detection, and an outlook on the role of artificial intelligence in future epidemics management.
Profile
Biography of speaker: Hui Wang is Professor of Computer Science in Queen’s University Belfast. Prior to that, he was Professor of Computer Science in the School of Computing, Ulster University, where he led the Artificial Intelligence Research Centre (2009-2021) and was Research Director (2018-2020). He obtained his PhD in Artificial Intelligence from Ulster University, MSc and BSc in Computer Science from Jilin University, China.
He is Principal Investigator of a number of regional, national and international projects in the areas of image/video analytics (EPSRC funded MVSE 2021-2024, Horizon 2020 funded DESIREE and ASGARD, FP7 funded SAVASA, Royal Society funded VIAD), spectral data analytics (EPSRC funded VIPIRS on virus detection 2020-2022), text analytics (INI funded DEEPFLOW, Royal Society funded BEACON), and intelligent content management (FP5 funded ICONS); and is co-investigator of several other funded projects. He is an associate editor of IEEE Transactions on Cybernetics, founding Chair of IEEE SMCS Northern Ireland Chapter (2009-2018), and a member of IEEE SMCS Board of Governors (2010-2013).
His research interests are machine learning, knowledge representation and reasoning, and their applications in image, video, spectra and text data analyses. Notable contributions include lattice machine (an algebraic framework for machine learning by generalisation and knowledge representation), contextual probability (a perceptionist formulation of probability), and neighbourhood counting (a generic similarity measure that can be specialized to any form of data including multivariate data, sequences, tree and graph structures). His current focus is detection learning and knowledge-based learning.

Mohamed Rawidean Mohd Kassim
The Application of Internet of Things (IoT) and Wireless Sensor Network (WSN) in Smart Agriculture
Abstract
IoT and WSN technologies are widely used to build decision support systems to overcome many problems in the real world. One of the most interesting fields having an increasing need for decision support systems is Smart Agriculture (SA). This project presents WSN as the best way to solve the agricultural problems related to farming resources optimization, decision-making support, and land monitoring. This approach provides real-time information about the lands and crops that will help farmers make the right decisions. Using the basic principles of Internet and WSN technology, SA systems based on the IoT technology is explained in detail, especially on the hardware architecture, network architecture and software process control. The software monitors data from the sensors in a feedback loop, which activates the control devices based on threshold value. Implementation of WSN in SA will optimize the usage of resources such as water fertilizer and maximize the yield of the crops.
Profile
Mohamed Rawidean Mohd Kassim has worked for 35 years in MIMOS (Malaysian Institute of Microelectronic Systems), the Ministry of Science, Technology and Innovation Malaysia. MIMOS is the government applied and industrial R&D arm in IT and microelectronics. He joined MIMOS as a Research Fellow and now is the R&D Manager in the Technology Deployment department. His research interest areas are Wireless Sensor Network (WSN), Internet of Things (IoT), Real-Time Systems and Multimedia. He has participated in more than 30 national and international R&D projects as a team member, or leader on technical and management positions. Mohamed Rawidean is an IEEE Senior Member. Currently, he is the Regional Coordinator, Region 10, IEEE Computer Society. He was the IEEE Computer Society Malaysia Chapter Chair from 2002 to 2013. As a lecturer, he has given computer science courses for undergraduate and graduate students. He has written conference papers, one book chapter (‘Sensors for Everyday Life’, Springer Pub., 2017) and technical reports. He is also a member of the Industry Advisory Panel (IAP) for Monash University Malaysia and Universiti Kuala Lumpur (UniKL). Mohamed Rawidean has organized IEEE national and international conferences, seminars and workshops. He is the Founding Chairman for IEEE Conference on Open Systems (ICOS), Program Chair and Technical Program Chair for several IEEE conferences. He has provided many keynotes, invited industrial talks and workshops in WSN, Intelligent Real-Time Systems and IoT. He has eight patents registered under his name, mostly in wireless sensors, networks and sensor applications. He received his B.Sc. (Hons) degree in the Computer Sciences (1987) from National University of Malaysia, and his M.Sc. in Interacting Systems Design (1993) from Loughborough University of Technology, United Kingdom. He obtained his Six Sigma Black Belt in 2009 from Motorola University.

Rabie A.Ramadan
Abstract:
I received my master’s and Ph.D. from the Computer Science and Engineering Department at Southern Methodist University (SMU), Dallas, Texas, USA. I am a full professor at Cairo University’s Computer Engineering Department and on leave at Nizwa University, Nizwa, Oman, I was also an honorable lecturer at Liverpool Online University for three years.
I served as the department chair of the Computer Engineering Department at Hail University. Also, I am currently working in the Department of Information Systems, College of Economics, Management, and Information Systems. I lead many committees, including ASIIN accreditation for Computer Science and Computer Engineering programs and Networks and Communication program development at Hail University. I was the chair of the College of Computer Science and Engineering International Conferences Committee.
For knowledge transfer, I maintained a good relationship with the industry, I spent almost two years working as a developer using C++, C#, and Java at Banc of America Securities, Frisco, Texas, USA. I developed excellent relationships during my stay in Egypt x and Saudi Arabia. I worked closely with Vodafone on one of their projects, diagnosing their network problems and autonomously suggesting solutions. I secured funds for my loT lab from Intel at Cairo University. I am the founder of the Center of Application and Electronic Development at Hail University and Fablab Hail. The BCI lab was the result of a fruitful cooperation effort with the Fraunhofer Institute in 2015. I am the co-founder of the Ambient Intelligent Center (AMIC) at the German University in Cairo (GUC). Moreover, I was the general chair of the IEEE Computational Intelligence Egypt chapter for one term and Vice Chair for another term.
My research interest is in Security, Internet of Things (IoT), Computational Intelligence, and Brain-Computer Interface (BCI). Currently, I extended my research to Drones technology and Intelligent drones. I have many funded projects nationally and Internationally, including CERN cooperation for a High-performance computation project along with Cairo, MTI, and Bari (Italy) Universities. Other funded projects were gained from organizations such as NTRA, FP7, ITEA, Hail University, and MTI University. 1 have published more than 140 research articles in different reputed journals and conferences and am also associated with many of the reputed journals. Moreover, I supervised quite a large number of Ph.D. and Masters Students. Some of them are already graduated and working in different prestigious places. Also, I am an external examiner for various universities. I am a keynote speaker for various conferences.
Profile
Curriculum Vitae of Rabie A. Ramadan, Ph.D.
1 maintain excellent teaching quality and always add practical modules to my courses for better understanding. I taught undergraduate and graduate students computer science and engineering courses at different universities and institutes, including Southern Methodist University (SMU), German University in Cairo (GUC), Cairo University, Alazhar University, Elshrook Academy, and Hail University, Besides, I developed different courses, including embedded systems for undergraduate students, Wireless Sensor Networks (WSNs) for postgraduate students, and Intelligent Systems for the computing master’s program at Liverpool University. Moreover, I play a significant role in developing the Computer Engineering program and new Information Security and Artificial Intelligence Master programs at Hail University.

Prof. Dr. Nor Azura Md Ghani
From Crime Scenes to Numbers : How AI is Enhancing Firearms Identification
Abstract:
Firearm identification is a critical component of forensic investigations, enabling the linkage of bullets and cartridge cases to the specific firearms that discharged them. Every firearm leaves behind a distinct “fingerprint”—microscopic markings produced by internal components such as the firing pin, breech face, chamber, extractor, and barrel rifling. Among these, the firing pin impression on a cartridge case is particularly valuable for identification due to its unique and reproducible patterns.
Traditionally, this process has relied on manual visual comparison by forensic experts, a time-consuming method that is susceptible to human bias and error. This keynote highlights how artificial intelligence transforms firearm identification by introducing objective, data-driven methods. In a study involving five Parabellum Vector SPI 9mm pistols and 747 cartridge cases, 16 geometric moment features—up to the sixth order—were extracted from firing pin impressions to characterize their unique patterns.
These features were then analyzed using statistical and AI techniques to recognize and accurately differentiate firearms. By converting visual impressions into quantifiable data, AI accelerates the identification process and enhances consistency and reliability. Integrating advanced analytics into forensic science represents a significant step forward in ensuring accurate, efficient, and impartial firearm identification.
Profile
Nor Azura Md. Ghani is a Professor at the School of Mathematical Sciences, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Malaysia, and Former Chair IEEE Computer Society Malaysia Chapter. She serves as Director at the Research Management Center, Universiti Teknologi MARA, Malaysia. Her expertise is in big data, image processing, artificial neural networks, statistical pattern recognition, and forensic statistics. She successfully secured national and international research grants and is also the author or co-author of many journals and conference proceedings at national and international levels. She can be contacted at email: azura1-58@uitm.edu.my

Zhi Jin
Software Requirements Engineering for Complex Embedded Systems
Abstract:
With the development of IoT technology, embedded software systems are becoming more and more complex. Compared with general software systems, complex embedded systems typically have the characteristics of strong correlation of task intent, strong dependence on physical devices and execution logic interweaving, etc. The bottlenecks of efficient development of complex embedded software systems include systematically representing system design intent, decoupling complex requirements, and extracting fine-grained operational software requirements. Guided by the requirements engineering method based on environmental modeling, this talk systematically constructs the requirements engineering methodology for embedded software systems, including the projection-based method for requirements specification, and the transformation strategies from task intent to software requirements. This talk will also present the practice of this approach in specific cases.
Profile:
Zhi Jin is professor of computer science at Peking University. She is the deputy director of Key Lab of High Confidence Software Technologies (PKU), Ministry of Education, China. Her main research interest is AI for SE, with a long-term focus on domain knowledge-led requirements engineering. She has published over 300 scientific articles in refereed international journals, such as IEEE T-KDE, T-SE, ACM T-OSEM, and T-CPS, and high rank conferences, such as ICSE, FSE, ASE and RE. She has co-authored five books and has held more than 20 approved invention patents. She is five times recipient of ACM SIGSOFT Distinguished Paper Awards.
Prof. Jin serves as an Associate Editor of IEEE Transactions on Software Engineering, IEEE Transactions on Reliability, and ACM Transactions on Autonomous and Adaptive Systems, and serves on the Editorial Board of Requirements Engineering Journal and Empirical Software Engineering. She has won the first prize of Science and Technology Progress Award of the Ministry of Education, the first prize of CCF Technological Invention Award, the second prize of Beijing Technological Invention Award. She is also honored CCF Outstanding Achievement (Xia Peisu) Award, IEEE TCSVC Outstanding Leadership Award, and Zhongchuang Software Talent Award. She is Fellow of IEEE, CCF and AAIA.

Prof.Dr.Samreen Hussain
Abstract:

Dr. Kashif Nisar
Artificial Intelligence and Security in Federated Learning Enabled 6G Era
Abstract
Software-Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm that enables multiple parties to collaboratively train a model without sharing their data. With the upcoming Sixth Generation (6G) era, FL is expected to adapt a more prevalent role as a potential solution to overcome the challenges of data privacy, AI, security and scalability in distributed and heterogeneous systems. Presently, research works in the security domain of FL enabled 6G communication are widely pursued. However, the outcome of research efforts is critically dependent upon the concepts and platforms used during analysis and evaluation. Therefore, this study initiates by focusing on the requirements of analysis in the security of distributed and heterogeneously involved multiple entities in FL enabled 6G. Thereby, this study comprehensively reviews and identifies the potential Conceptual Techniques and Software Platforms for analysis and evaluation in security-related areas of FL enabled 6G communication. Further, this study highlights major challenges faced during the analysis in the security of FL enabled 6G. Finally, this review deliberates upon the potential open research issues AI, security, and that can be pursued using the identified techniques and platforms.
Profile
Dr. Kashif Nisar completed his Post-Doctoral research at Auckland University of
Technology, New Zealand, and earned his fully funded PhD at Universiti Teknologi
PETRONAS, Malaysia. Specializing in Computer Networks and Information Technology,
he has extensive experience in R&D, funding proposals, journal publications, and
consultancy. Currently, he is a Lecturer at the University of Notre Dame, Sydney,
Australia. He previously served as a Guest Professor at Fernuniversität Hagen, Germany
(DAAD-funded), and holds visiting positions at McMaster University (Canada),
University of Auckland (New Zealand), Hanyang University (South Korea), and Waseda
University (Japan).
Dr. Nisar has published over 250 research papers in high-impact journals and
conferences. His research interests include Future Internet (FI), AI, ICN, CCN, IR 4.0,
Quantum Networks, Information Security & Privacy, Cybersecurity, Digital Forensics,
Applied Cryptography, Vehicular Clouds, Cloud & Edge Computing, Blockchain, IoT
security, and API security, with strong industry collaboration.
He is a Senior Member of IEEE (Founding IEEE Vice-Chair, Subsection) and a member of
ACM, ACM-SIGMOBILE, ISOC, Engineers Australia, IAENG, Park Lab, APAN, and ITU. He
serves on the editorial boards of journals such as Computer Communications
(Elsevier), IEEE Internet Initiative, and Wiley, reviewing for IEEE Transactions, IEEE Access,
IEEE IoT, Springer, and Elsevier.
Dr. Nisar is an active Technical Program Committee (TPC) member for conferences
including IEEE GLOBECOM, IEEE R10 TENCOM, IEEE TrustCom, IEEE ICC, IEEE VTC, IEEE VNC,
IEEE ICCVE, and ICCCN. He has also guest-edited special issues for IEEE, Elsevier,
Springer, and Wiley journals and magazines

Mehar Ullah
Dr. Mehar Ullah
Abstract
Dr. Mehar Ullah is a Postdoctoral Researcher at LUT University in Lappeenranta, Finland, specializing in the integration of the Internet of Things (IoT), edge computing, and big data within cyber-physical systems. His research focuses on enhancing information flow in smart grids and developing frameworks for IoT platform selection applicable to various industrial applications, including carbon fiber recycling and industrial energy management systems.
His recent research includes studies on cybersecurity in the hydrogen economy and the development of unified frameworks for IoT platform selection in Power-to-X cogeneration plants.
He earned his Doctor of Engineering degree from LUT University, where his dissertation focused on the digitalization of various industrial sectors through IoT applications.
Dr. Ullah’s expertise encompasses information and communication technology, cloud computing, and information management. He is actively engaged in advancing the role of IoT in cyber-physical systems, aiming to improve efficiency and sustainability across different industries.

Dr Atif Siddiqui
Data Analytics through Machine Learning and its impact on Manufacturing Industry
Abstract
The electronic product design and manufacturing industry is a multi-billion euro
market, deeply embedded in our everyday lives. While we rely heavily on
electronic devices, many of these products can be costly or lack consistent
quality. To stay competitive, manufacturers are under pressure to frequently
release new products, which presents a significant challenge: maintaining high
quality amidst rapid development cycles. Testing is a critical phase in the
manufacturing process, with immense potential to not only drive growth for
companies but also enhance user satisfaction. Data Analytics through machine
learning can significantly improve the product quality at a lower cost.
Profile
Lead Engineer Test System, Airbus Defence and Space, UK and visiting faculty department of Computing and Mathematical Sciences, University of Greenwich, UK
A highly motivated, skilled and result oriented technical leader with more than 26 years of diverse work and geographical experience in electronics and telecom industry. Proficient in designing and implementing test systems along with managing multi-functional teams, delivering successful projects within strict timelines. Offer strong work ethics, with focus on detail orientation including industry communication standards, stakeholder management and agile project management. Established track record of streamlining and implementing agile practical solutions with focus on continuous improvement and performance matrices. Currently focused on application of Machine Learning to solve industrial problems in Aerospace industry.
INVITED SPEAKERS

Prof. Dr. Yasar Ayaz
Prof. Dr. Yasar Ayaz
Abstract
He is the Founding Chairman and Central Project Director of Pakistan’s National Center of Artificial Intelligence (NCAI) headquartered at National University of Sciences and Technology (NUST) in Islamabad. He also founded Pakistan’s first Department of Robotics & Artificial Intelligence at NUST in 2010 which he headed from June 2010 to August 2020 and where he is also currently a full Professor. He also holds the prestigious title of Specially-Appointed Professor title at Tohoku University, Japan and has been assisting the university in various roles especially for selection of new international students from Pakistan since 2015. He is also the Vice President of Monbukagakusho Alumni Association of Pakistan (MAAP).
Profile
Prof Yasar is the author of over 150 international publications and has won international best paper awards in London, UK and Sydney, Australia in 2018 and 2013 respectively. He also has 3 product design patents registered in his name with several more under review. He has delivered more than 60 invited and keynote talks at prominent venues including USA, Japan, UK, South Korea, China, Italy, Belarus, Norway etc and has won and developed projects of well over Two Billion Pakistan Rupees including international grants and national consortium based projects. In addition to winning President’s Gold Medal, University Best Teacher Award, SMME Best Researcher Award and University Top Performer award at Pakistan’s top university: NUST, Prof Yasar has also been awarded the prestigious Pakistan Engineering Council (PEC) Engineers’ Excellence Award and Gold Medal in 2020. He has been awarded Lifetime Achievement Award by IEEE Islamabad Section and is also a recipient of President’s Award for Pride of Performance which is one of the highest Civil Awards of Pakistan conferred by the Honorable President of Pakistan himself in 2021 and conferred with BRAIN Award 2022-23 for NUST Top Performer 2022 by Rector NUST in 2024

Engr. Muhammad Zeeshan
Educational Innovation and Community Empowerment”
Abstract
In the era of rapid technological advancements, Educational Innovation
and Community Empowerment are key drivers of sustainable progress.
We will explore how emerging technologies, digital learning platforms,
and skill-based education are reshaping the academic landscape, bridging
the gap between industry demands and academic institutions. By
fostering inclusive and accessible education, we can empower
communities, create employment opportunities, and drive socioeconomic growth. Special emphasis will be placed on the role of engineers
and educators in shaping the future workforce, promoting
interdisciplinary collaboration, and leveraging artificial intelligence and
data-driven strategies to enhance learning experiences. The session will
highlight real-world success stories and practical frameworks to ensure
that innovation in education translates into meaningful community
development.
Profile
Engr. Muhammad Zeeshan is a dynamic and multifaceted professional who
has established himself as a leader, educator, and innovator in the engineering
community. As a renowned motivational speaker and HEC certified trainer, he
brings a wealth of experience and a passion for inspiring excellence in every
engagement. His role as an IT consultant further complements his academic
and practical insights, enabling him to bridge the gap between emerging
technologies and real-world engineering challenges.
As the governing body member of the Pakistan Engineering Council (PEC),
Engr. Zeeshan plays an influential part in shaping the future of engineering
standards and practices across the nation. As the Chairperson of the PEC
Young Engineers Affairs Working Group, he dedicates his efforts to
mentoring and empowering the next generation of engineers, fostering a
culture of innovation and ethical leadership.
Currently, Engr. Zeeshan is an Assistant Professor at NFC Institute of
Engineering and Technology, Multan, where he also serves as the Director of
Students Affairs. In these roles, he not only imparts technical knowledge but
also nurtures leadership qualities among his students, preparing them to take
on future challenges with confidence and integrity. His commitment to
excellence, continuous learning, and transformative leadership makes him a
beacon of inspiration for professionals and students alike

Prof.Dr.Shehnila Zardari
Abstract

Ameen Sharif
Zero Trust Architecture: Redefining Cybersecurity for a Perimeterless World
Abstract
This presentation examines Zero Trust Architecture (ZTA) as a modern cybersecurity approach that replaces traditional perimeter-based defenses with a “never trust, always verify” model. Unlike conventional security strategies that assume internal trust, ZTA requires explicit verification of every access request, ensuring only authenticated users and devices gain entry to critical resources.
Key topics include the advantages of ZTA, such as enhanced security, improved flexibility, and compliance with global regulations like GDPR and ISO 27000. The presentation also covers ZTA’s core principles, including least privilege access, continuous monitoring, and breach assumption, along with the seven foundational pillars that support a strong zero-trust framework.
Leading ZTA solutions, including Microsoft 365 Defender, Cisco Zero Trust, and Google BeyondCorp, as well as open-source tools like Open Policy Agent and WireGuard will be briefly deliberated. The discussion also addresses implementation challenges, such as integration complexity, user authentication experience, and cost considerations.
The session concludes with guidance on aligning security strategies with international ZTA standards like NIST 800-207 and DoD’s Zero Trust Reference Architecture, helping organizations strengthen their cybersecurity posture in an era of rising cyber threats and digital transformation.
(Two CPE credit hour digital certificate may be issued to registered participants)
Profile
Ameen Sharif is a seasoned professional with a distinguished career spanning over 25 years in the realm of cybersecurity, information technology, and information security. His expertise and visionary leadership have significantly impacted the global cybersecurity landscape, making him an esteemed figure in the field. Currently serving as the CEO and Principal Consultant at ITnIS Consulting.
Ameen plays a pivotal role in providing cutting-edge IT and InfoSec consultancy services to a diverse clientele, both at the national and international levels. His multifaceted career has seen him traverse through government, military, and private sectors, showcasing his adaptability and proficiency in navigating the complexities of diverse environments.
Accompanying his wealth of experience are numerous certifications, including CISSP, CISA, CRISC, CDPSE, CDPO, CPTP, CEH, and ISO27001 Lead Implementer/Auditor. Ameen’s dedication to continuous learning and staying at the forefront of cybersecurity technologies is evident in his professional memberships in ISC2, ISACA, ISOC, IEEE, ASIS and BICSI.
His impact extends to education and mentorship, where he has conducted over 300 security audits and trained more than 600 personnel. His regular presence as a speaker at national and international conferences, as well as his role as a mentor at universities, underscores his commitment to nurturing the next generation of cybersecurity professionals.
Mr. Ameen’s accolades include being recipient of National Teradata IT Excellence Award, ISC2 Information Security Leadership Achievement Award and ISC2 Global Achievement Award in field of cybersecurity.

Dr. Shoab Khan
Future Of Work And Computing Education In The Agentic AI Era
Profile
Chancellor Sir Syed CASE Institute of Technology, CEO Center for Advanced
Research in Engineering (CARE), Former Chairman PASHA, Member NCEAC,
Member BoG VU, former Board Member Shifa International Hospital

Dr. Adnan Noor Mian
AI in Cybersecurity: Transforming Threat Detection and Defense
Abstract
Cybersecurity is undergoing a profound transformation with the integration of Artificial Intelligence (AI), revolutionizing how we detect, mitigate, and respond to threats in an increasingly complex digital landscape. Traditional security mechanisms struggle to keep up with the growing sophistication of cyber threats, making AI-driven approaches essential for modern defense strategies.
This talk explores how AI, including machine learning, deep learning, and federated learning, is enhancing cybersecurity by enabling systems to analyze vast amounts of data, recognize patterns, and detect anomalies in real time. Machine learning models leverage historical data to identify emerging threats, deep learning uncovers hidden correlations for more accurate threat predictions, and federated learning ensures privacy-preserving collaboration across organizations. We will highlight AI’s transformative impact on key cybersecurity areas, including intrusion detection, where AI algorithms enhance the ability to detect unauthorized access attempts, and phishing prevention, where AI helps identify malicious emails and fraudulent websites. Additionally, we’ll examine how AI mitigates denial-of-service (DoS) attacks by proactively detecting unusual traffic patterns and implementing preventive measures. The talk will also cover privacy-preserving AI techniques, such as federated learning, which enable organizations to collaborate on threat detection without compromising sensitive data.
By showcasing these applications, this talk underscores AI’s pivotal role in transforming cybersecurity—delivering smarter, more adaptive, and more resilient threat detection and defense.
Profile
Dr. Adnan Noor Mian received his Ph.D. in computer engineering from Sapienza University of Rome, Italy. He has been a postdoc visiting scholar in the Department of Computer Science and Technology, University of Cambridge, U.K. He was the founding Chair of the Department of Computer Science and founding Dean of Faculty of Sciences at Information Technology University (ITU), Lahore. Currently, he is serving as Vice Chancellor at ITU. He holds the prestigious UNESCO Chair on Information and Communication Technologies for Development (ICTD) and is a Senior Associate of the International Centre for Theoretical Physics (ICTP), Trieste, Italy—the only one from Pakistan in the field of Internet of Things (IoT). His research focuses on IoT, distributed protocols, and cybersecurity, including blockchain, authentication protocols, intrusion detection systems, phishing, denial of service attacks, and AI applications in cybersecurity. He has more than 60 publications in reputed journals and conferences in these fields.

Prof.Dr.Ghulam Ali Mallan
Abstract

Prof. Dr. Shahnawaz Talpur
Beyond Bits and Bytes: The Art and Science of Modern Computer Architecture in the Digital Revival
Abstract
In the dynamic realm of modern computer architecture, transcending the binary realm to explore the nuanced art and science behind it. As we stand at the height of a digital revival, architects play a pivotal role in defining the contours of our technological future. The session unravels the intricate dance between architectural choices and the ever-expanding possibilities of modern computing. From parallel processing to quantum leaps, we will examine how innovative architectural designs propel us into uncharted territories, shaping the very fabric of our digital existence. Join us for an enlightening journey that underscores the profound impact of architectural decisions on the trajectory of technology.
Profile
Prof. Dr. Shahnawaz Talpur is a renowned academician, researcher, and industry expert in the field of Computer Systems. He is currently serving as a Professor and Chairman of the Department of Computer Systems at Mehran University of Engineering & Technology (MUET), Jamshoro. With extensive experience in high-performance computing, artificial intelligence, and modern computer architectures, Dr. Talpur has been at the forefront of driving technological advancements in academia and industry.
He holds a PhD from Beijing Institute of Technology, China, and both B.E. in Computer Systems and M.E. in Information Technology from MUET. His research contributions include impact factor journal publications, book chapters, and presentations at prestigious international conferences. Additionally, he has held key administrative and industry roles, including IT Manager and System Engineer, bringing a unique blend of academic and practical expertise.
Dr. Talpur is also the organizer of the International Conference on Computational Science and Technologies (INCCST), actively contributing to global discussions on cutting-edge technological innovations.

Muhammad Zakir Shaikh
Abstract

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