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Prof. Yudong Zhang

Prof. Yu-Dong Zhang received his BE in Information Sciences in 2004 and MPhil in Communication and Information Engineering in 2007 from Nanjing University of Aeronautics and Astronautics. He received a Ph.D. degree in Signal and Information Processing from Southeast University in 2010. He worked as a postdoc from 2010 to 2012 with Columbia University, USA, and as an Assistant Research Scientist from 2012 to 2013 with the Research Foundation of Mental Hygiene (RFMH), USA. He served as a Full Professor from 2013 to 2017 with Nanjing Normal University. He serves as a professor at the School of Computing and Mathematical Sciences, University of Leicester, UK. His research interests include deep learning and medical image analysis. He is the Fellow of IET, Fellow of EAI, and Senior Members of IEEE, IES, and ACM. He was included in Most Cited Chinese Researchers (Computer Science) by Elsevier from 2014 to 2018. He was the 2019 & 2021 recipient of Highly Cited Researcher by Clarivate. He won the Emerald Citation of Excellence 2017 and MDPI Top 10 Most Cited Papers 2015. He is included in Top Scientist in Research.com. He is the author of over 300 peer-reviewed articles, including more than 50 ESI Highly Cited Papers and 5 ESI Hot Papers. His citation reached 18057 in Google Scholar (h-index 75) and 10276 in Web of Science (h-index 58) till Dec/2021. He has conducted many successful industrial projects and academic grants from NIH, Royal Society, GCRF, EPSRC, MRC, British Council, and NSFC. He has given over 120 invited talks at international conferences, universities, and companies. He has served as (Co-)Chair for more than 60 international conferences and workshops.

Prof. Dr. Asadullah Shaikh

Prof. Dr. Asadullah shaikh received a B.Sc. degree in software development from the University of Huddersfield, England, an M.Sc. degree in software engineering and management from Goteborg University, Sweden, and the Ph.D. degree in software engineering from the University of Southern Denmark. He is currently working as an Associate Professor, the Head of research, and the Coordinator of seminars and training with the College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia. He has more than 170 publications in the area of software engineering in international journals and conferences. He has vast experience in teaching and research. His current research topics are UML model verification, UML class diagrams verification with OCL constraints for complex models, formal verification, feedback technique for unsatisfiable UML/OCL class diagrams. He has worked as a Researcher in UOC Barcelona Spain. He is also the Editor of the International Journal of Advanced Computer Systems and Software Engineering (IJACSSE) and an International Advisory Board of several conferences and journals. Further details can be obtained using www.asadshaikh.com

Prof. Dr. Muazzam Ali Khan Khattak

Prof. Dr. Muazzam Ali Khan Khattak is currently serving as Director Science & Technology as well Director ICESCO Chair Data Analytics and Edge Computing at Quaid-i-Azam University, Islamabad. Beside that he is also adjunct Professor at School of Computing and Engineering, University of Missouri, KC, USA. Earlier Dr. Khattak served as Associate Dean of Computing Department at NUST School of Electrical Engineering and Computer Science (SEECS) 2017-2020, Post graduate Head, Department of Computer Engineering, NUST CEME 2013-2016. During his tenure as Associate Dean Computing (S-HoD), NUST, the computer science program attained the top position at national level and 138th position at international level. Apart from being a Senior Member of IEEE, Senior Member Pakistan Academy of Sciences he is also senior member of National Computing Education Accreditation Council (NCEAC), member of HEC Accreditation & Attestation Division for Computing Programs. He is also a technical reviewer of more than 40 national and international conferences and journals. He has been awarded grant of 25 Million by ICESCO and 06 Million by Huawei International for establishment of Huawei Academy at Quaid-i-Azam University, Islamabad.

Prof. Dr. Valentina Emilia Balas

Valentina E. Balas is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 270 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is the Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE), member in Editorial Board member of several national and international journals and is evaluator expert for national, international projects and PhD Thesis. Dr. Balas is the director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad and Director of the Department of International Relations, Programs and Projects in the same university. She is a member of EUSFLAT, SIAM and a Senior Member IEEE, member in TC – Fuzzy Systems (IEEE CIS), member in TC - Emergent Technologies (IEEE CIS), member in TC – Soft Computing (IEEE SMCS). Dr. Balas was past Vice-president (Awards) of IFSA International Fuzzy Systems Association Council (2013-2015) and is a Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), - A Multidisciplinary Academic Body, India.

Prof. Dr. Asad Khattak

Dr. Asad Masood Khattak has over 16 years of industry and academia experience in various capacities, such as Webmaster, Developer, Team Leader, Principal Investigator, Assistant Chair, Graduate Program Coordinator, Assistant, Associate, and Full Professor. He has multicultural teaching experience and has taught in Pakistan, China, South Korea, and United Arab Emirates (UAE). His areas of research interests include Data Curation and Representation, Data Mining, Semantic Web, Machine Learning, Deep Learning, Computational Intelligence, e & m-Healthcare, Smart Cities, and Secure Computing. Taking bold, decisive, and definitive actions to solve problems, building strategic alliances, and working in collaborative teams are his strengths. He has experience of leading research teams of over 40 members in over four countries. He has served as an Assistant Chair and currently serving as Graduate Program Coordinator at the College of Technological Innovation, Zayed University. He is open to explore more and learn more that has mutual benefits for him, his partners, and his institution. He has delivered various keynote speeches, invited talks, invited lectures, and short courses. He has authored over 170 publications (book, book chapters, journal publications, and conference publications). He has a US Patents registered and a Korean Patent. He is Senior Member of IEEE and appointed as an ACM Distinguish Speaker.

Prof. Dr. Zeeshan Pervez

Dr Zeeshan Pervez is a Professor of Computer Science at the University of the West of Scotland (UWS). He is a Senior Member of IEEE, ACM Distinguished Speaker, Member ISO and BSI working groups for FM sector, Senior Fellow of Higher Education Academy (UK), and Full Member of EPSRC Peer Review College (UK). He has a strong track record of securing research, industry, and capacity building funding from the Innovate UK, Scottish Funding Council, Innovation Centres, European Commission, Erasmus+, Microsoft Research, and international research institutes. He has over 18 years of research and industry experience in addressing technological and societal challenges, and designing and developing enterprise-ready solutions. For his outstanding performance and success in securing substantial research funding, enterprise engagement, high-quality research outputs, and associated wider research/societal impact, he won the 2019 UWS STARS Award - Staff Appreciation & Recognition Scheme. His areas of expertise are Data Science, Applied ML/AI, Cybersecurity, Industry 4.0, and Edge/Fog Computing. The application areas of his research are but not limited to: Industry 4.0, Smart Cities, Social Housing, Predictive Maintenance, Facilities Management, Healthcare, Data Science, and ICT4D. He has successfully supervised to completion: 29 postdoctoral fellows, postgraduate research/taught and undergraduate students (as lead and co-supervisor). He has served as a TPC member of more than 100 conferences and a regular reviewer of 30+ IEEE Transactions, Elsevier, and Springer journals. He has chaired/evaluated over 28 doctoral exams for UK and international higher education institutes. He has been regularly invited by national and international research and academic institutes to deliver talks on topic ranging from Internet-of-Things, Data Science, Cybersecurity, and Cloud Computing. He is serving as an external examiner to several UK higher education institutes for their computing programme boards - postgraduate, undergraduate, and international provisions. At UWS he has successfully led the development, validation, and delivery of postgraduate programmes namely MSc Information & Network Security, and MSc Advanced Computing (Big Data and IoT).

Prof. Dr. Ibrar Hussain

Prof. Dr. Ibrar Hussain Dean of the Faculty of Information Technology, Founding-Head, of the Department of Software Engineering, and Former Acting-Dean, the Faculty of Engineering & Technology at the University of Lahore where he has been since 2015. He received an MS in Information Management (Information Retrieval) from Queen Mary, University of London, UK. Later, he received his Ph.D. in Computer Science from Zhejiang University, P.R. China. He has around 18 years of teaching, research, and information system development experience in computer science while working in different roles in the academic sectors of Pakistan. His research interest lies in Artificial Intelligence, Machine Learning, Human-Computer Interaction, Ubiquitous Computing, Accessibility, and Location-based Services. He is currently working on developing intelligent systems that improve the human condition. He also worked on the improvement of auditory feedback for non-graphical user interfaces with the use of non-speech sound. He authored several papers published in high-impact factor journals and premier conferences. As of 2023, Google Scholar reports 1000+ citations to his work. His paper published in Data & Knowledge Engineering (DKE) [Elsevier] 2015 received the Best Paper Award in 2018. He is an HEC Approved Supervisor. He is a senior member of IEEE, member of EAI, and ICAD.

Prof. Dr. Nadeem Ahmad

I have completed dual PhD in Computer Science from Politecnico di Torino, Italy and University of Potsdam, Germany in 2014. I have more than 20 years of teaching, research, administration, and management experience. I worked in many national and international organizations. I have joined Iqra University, Islamabad as Professor of Computing and Associate Dean. In past I worked as Associate Professor in Faculty of IT in University of Central Punjab, Lahore. I served in University of Sialkot as Pro- Vice Chancellor and Professor of Computing, where I was involved in corporate planning across the university. I served two years as head of Computer Science department at Superior University, Lahore. I also worked as Head of Computer Science and IT Department in The University of Lahore for three years where I established many new Labs especially a research Lab for PhD scholars. In academic leadership, I am involved in curricula design, started new graduate degree programs in different faculties, and launched BS and MS Data Science programs in the faculty of Information Technology. I supervised multiple times process of accreditation for Undergraduate degree programs from NCEAC. I upgraded university infrastructure, involved in recruitment of faculty and established state of the art labs. I revised curricula of different BS programs in Computer Science, Software Engineering and Artificial Intelligence. I conducted faculty training programs where courses outlines were revised according to the ACM curricula guidelines. I have vast experience of networking with other research groups, stakeholders from industry and academia. I am running People Centred Technology research group where more than ten MS and PhD students have completed their theses under his supervision. I have published 24 papers in reputed journals and international conferences. I worked on usability analysis of mHealth applications, and a book chapter is published in January 2022 in ""HCI and beyond: advances towards smart and interconnected environments"" book in collaboration with researchers from University of Cincinnati, United States. My research work mainly focuses on transforming society through digital technologies, health informatics, mobile health (mHealth) applications, usability of health applications, standards and ranking of Mobile health applications, user centered design, people centered adaptive interfaces, usability barriers, helpful interfaces, ICT for development accessibility and visual design.

Prof. Dr. Muhammad Tanvir Afzal

Dr. Afzal received the PhD degree with highest distinction in Computer Science from the Graz University of Technology, Austria, secured Gold medal in his M.Sc Computer Science from Quiad-i-Azam University, Islamabad in 2022. He has been associated with academia and industry at various levels for the last 20 years, and currently he is serving as Director Campus at one of the largest campus of Shifa Tameer-e-Millat University at park Road Islamabad, Pakistan. He is also serving as Director and Professor, at Faculty of Computing, STMU and Previously, he has served Namal Institute Mianwali as Director (QEC) and Professor. He has served Capital University of Science and Technology, Islamabad as Professor, Associate Professor, and Assistant Professor of CS. Furthermore, he has served NESCOM, COMSATS University Islamabad, and JinTech Islamabad. He is also serving as editor-in-chief for reputed impact factor journal known as: Journal of Universal Computer Science. Dr. Afzal authored more than 125 research papers including over 60 published papers in impact factor leading journals in the field of Artificial Intelligence, Data Science, Information retrieval and visualization, Semantics, Digital Libraries, and Scientometrics. He has authored two books and has edited two books in Computer Science. His cumulative impact factor is 150+, with citations over 1,600. He played pivotal role in making collaborations between STMU-JUCS, MAJU-JUCS, MAJU-IICM, and TUG-UNIMAS. He served as PhD symposium chair, session chair, finance chair, committee member, and editor of several IEEE, ACM, Springer, Elsevier international conferences and journals. Dr. Afzal conducted more than 100 curricular, co-curricular, and extra-curricular activities in the last 5 years including seminars, workshops, national competitions (ExcITeCup) and invited international and national speakers from Google, Oracle, IICM, IFIS, SEGA Europe etc. Under his supervision, more than 70 post grad students (MS and PhD) have defended their research theses successfully and a number of PhD and MS students are pursuing their research with him. He served as Master trainer and a program director at a national level training for a public sector organization in Pakistan on Human Factors Engineering and conducted the training of over 150 hours for experts from the industry. He is the recipient of multiple international research funding.

Dr. Adnan Ahmad

Adnan Ahmad holds a BS (Hons) and MS in Computer Science from GCU and LUMS, Pakistan, respectively. He also acquired PhD in Computer Science from Massey University, Auckland, New Zealand and Post-Doc from Saint Louis University, Madrid, Spain. He has around eighteen years of teaching and research experience at various educational and research institutes. More than 45 peer-reviewed articles in renowned conferences and journals are on his credit including Trustcom, Computers & Security, ACM transactions, and IEEE Communication Magazine. He is an associate editor of 3 international journals, a reviewer of various IEEE, Elsevier, IET, and springer journals, and part of TPC of several prestigious conferences. He is also an external evaluator for National Ignite R&D fund, PITB research fund, DICE-IET, and many other international funding agencies. Moreover, he has organized multiple international workshops in Belgium, Kazakhstan, Pakistan, Portugal, and Spain. He has supervised 9 PhD, 16 MS thesis students, and several startup projects. He has also co-authored two books on emerging technologies in distributed systems. He is the founding in-charge of Center of Advance Research in Distributed Systems and Security (CARDS) research group & Cybersecurity Research Group (CSRG) at COMSATS University Islamabad, Pakistan. His research interests include Cyber Security, Digital Forensics, Penetration Testing, Distributed Systems, and Internet of things (IoT). Currently, he is performing his duties as Tenured Associate Professor at COMSATS University Islamabad, Lahore Campus, Pakistan

Dr. Muhammad Adnan Khan

Muhammad Adnan Khan (Senior Member IEEE) is currently working as an Associate Professor at the School of Computing, Skyline University College, Sharjah, UAE & Riphah School of Computing and Innovation, Faculty of Computing, Riphah International University, Lahore Campus, Lahore, Pakistan, and Assistant Professor at the Department of Software, Faculty of Artificial Intelligence and Software, Gachon University, Seongnam-si, Republic of Korea. I completed my Ph.D. from ISRA University, Islamabad, Pakistan, by obtaining a scholarship award from the Higher Education Commission, Islamabad, Pakistan, in 2016. I also completed my M.Phil. & BS degrees from the International Islamic University, Islamabad, Pakistan by obtaining a scholarship award from the Punjab Information & Technology Board, Govt. of Punjab, Pakistan in 2010 and 2007 respectively. Before joining the above-mentioned Universities, Khan worked in various academic and industrial roles in Pakistan and the Republic of Korea. I have been teaching graduate and undergraduate students in computer science and engineering for the past 15 years. So far, I have successfully supervised 11 Ph.D. students, 40+ M.Phil students & 70+ undergraduate students. Presently, I am guiding 05 Ph.D. scholars and 03 M.Phil. Scholars. I have published more than 240 research articles with Cumulative JCR-IF 670+ in reputed International Journals as well as International Conferences. My research interests primarily include Machine Learning, Image Processing & Medical Diagnosis, Computational Intelligence, Artificial Intelligence, etc. My name is listed among the top 3% of scientists in the world.

Dr. Yeliz Karaca

Yeliz Karaca is an assistant professor of applied mathematics, and a researcher at the University of Massachusetts (UMass) Chan Medical School, USA. She received her Ph.D. degree in Mathematics in 2012. Along with the other awards she has been conferred, she was granted the Cooperation in Neurological Sciences and Support Award by Turkish Neurology Association as the first mathematician in Turkey. She also holds a medical card as the only mathematician entitled for it. Furthermore, she received the Outstanding Young Scientist Award in 2012 and Best Paper Awards in her specialized discipline in 2012, 2014, 2016, 2017, 2019, 2020 as well as in the subsequent years, among the other awards in different categories. Another award of hers is Outstanding Reviewer Award (Mathematics Journal, MDPI) in 2021. As for some book publications, Dr. Karaca has a book entitled Computational Methods for Data Analysis published in 2018 by De Gruyter. The other publication is an edited book named Computational Science and Its Applications – Lecture Notes in Computer Science (ICCSA 2020, with series I-VII) by Springer. Dr. Karaca has been acting as the editor, guest editor and associate editor in many different SCI indexed journals.

Dr. Farrukh Zeshan

I am a Tenured Associate Professor in the Department of Computer Science, COMSATS University Islamabad (CUI), Lahore Campus, Pakistan. I am working as an In-charge of Software Engineering Program in the Department. I received my Ph.D. degree from the Department of Software Engineering, Universiti Teknologi Malaysia (UTM). I have around 13 years of teaching and research experience at various educational and research institutes along with 2.5 years of software development experience in the software industry as a software engineer. I have published more than 35 peer-reviewed articles (cumulative IF 60+ with more than 450 citations and 14 H-index) and have supervised 20+ students (Master + Ph.D.). Moreover, I also have served different public sector universities as a member of the selection and board of studies along with delivering a keynote talk on various topics at the national and international conferences. Whereas to date, I have organized three international workshops in Europe while currently, I am organizing a workshop on Knowledge Management in Ambient Intelligent Systems (KnowMAIS-24). The workshop will take place in conjunction with the the 15th International Conference on Ambient Systems, Networks and Technologies (ANT 2024) April 23-25, 2024, Hasselt, Belgium. My research interests include Service-Oriented Computing, Intelligent Recommender Systems, Software Engineering, Software Project Management, Knowledge Management, and Self-Organizing Systems. I am a reviewer, technical committee, and editorial member of many reputed national and international conferences and Journals.

Dr. Nana Yaw Asabere

Social recommender systems and big data: trends and perspectives Director of Research, Innovation, Publication and Technology Transfer, Accra Technical University. Ghana

Dr. Muhammad Asif

Dr. Muhammad Asif received the PhD degree in Digital Image Processing from Capital University of Science and Technology (CUST), Islamabad, Pakistan, in 2016. Currently he is an Associate Professor in Department of Computer Science, Lahore Garrison University (LGU), Lahore, Pakistan. He has 10 years of teaching experience in different universities of Pakistan including LGU, LLU, UoL and KICSIT. Moreover, he has more than 8 years of industrial experience from USA and Pakistan based organizations, with expertise in Video Codecs, Image, Video and Audio Processing, Video and Audios streaming applications, Embedded System’s Software Design, Development of Security and Surveillance Systems. He has contributed to more than 60 research publications in the domains of Video and Image Processing, Biomedical Imaging, Computer Vision, Machine Learning, Parallel Processing, Embedded System Optimization and Networks Security.

Dr. Faheem Akhtar Rajput

Dr. Faheem Akhtar Rajput received his Ph.D. in Software Engineering (Data Science, Machine Learning, and Deep Learning) from Beijing University of Technology, Beijing, China in 2020.He completed his MS in Computer Science from National University, FAST, Karachi, Pakistan, and his Bachelor from Hamdard University Karachi. He worked as a software engineer and lead trainer at WebXZone. Later, he has been part of the Computer Science faculty at National University FAST, Muhammad Ali Jinnah University, and Bahria University Karachi. He has been working at Sukkur IBA University since 2013. He has remained Director Kandhkot Campus of Sukkur IBA University as well. Presently, he is working as an Associate Professor (BPS-20) / Provost Hostels and Coordinator of ABET/NCEAC Accreditation at the Computer Science Department. He has vast experience in teaching and research. He has been part of various bodies and councils throughout his academic and professional career. He won various awards during his Ph.D. from BJUT that includes, Special Contribution Award in curricular and extracurricular activities at BJUT from the Beijing Government in 2019, the Outstanding Researcher Award (Ph.D.) from the Ministry of Education and Chinese Scholarship Council of China in 2019, Outstanding Graduate Award (Ph.D.) from Beijing University of Technology China, Won Certificate of Appreciation from Embassy of Pakistan in Beijing (Ph.D.) in 2019 in regard of his outstanding academics and research performance, and etc. He is the author of above 55+ publications. His research findings are published in top impact factor journals, book chapters and internationally indexed conferences. These journals are categorized as "W Category" by Higher Education Commission, Pakistan. He is a guest editor [MDPI Journal Algorithms] and international conferences chair (workshop organizer). His area of research is machine learning, text classification, Data Science, Image Classification, Digital Image Processing, Natural Language Processing, Deep Learning, Computer Networks, Network Security, and online social networking.

Dr. M. Faheem Mushtaq

Dr. Danish Shehzad

Dr. Danish Shehzad is working as an Associate Professor in the department of Computer Science, Superior University Lahore. He also has the additional charge of Quality Head of Superior University Gold Campus. His research interests mainly include Networks and Information Security, Steganography, Blockchain, IoT Security, VANET Security, Signcryption, Public Key Cryptosystems etc. Before that he worked as an Assistant Professor and Graduate Studies Coordinator in FAST National University of Computer and Emerging Sciences Pakistan. He has over 13 years’ experience both in Industry and Academia. He has worked on various funded projects as Co-PI including “New Opportunities and Challenges of Smart Cities using Multi-agent Systems; funded by the Deanship of Scientific Research at King Khalid University and “Lightweight Fine-grained Access Control and Its Applications” funded FAST National University of Computer and Emerging Sciences. In the past he worked as a researcher on project: “Brain Inspired Run-time system for very large-scale brain simulation” (BiRTS) project funded by Scientific and Technological Research Council of Turkey (2014- 2016). He published over 35 research articles in well reputed International Journals and Conferences. He has reviewed articles from around 20 esteemed journals and has been a member of organizing committees and chair in various local and International Research Conferences.

Dr. Mohsin Nazir

I am associate professor and founding Chairperson of Dept. of Software Engineering at Lahore College for Women University. I am also an adjunct faculty member at various institutes in Pakistan & abroad. I earned a doctorate & master degree from Asian Institute of Technology, Thailand in the field of Information & Communications Technologies on scholarship from the Govt. of Pakistan and Asian Institute of Technology, Thailand. My bachelor degree is in computer sciences from National University of Computer and Emerging Sciences (FAST), Islamabad, Pakistan. I am also a cyber law expert with a bachelor degree in law (LLB). I am linked with the Higher Education Commission of Sweden and a visiting fellow at Karlstad University, Sweden. Since 2003, I have been associated with Lahore College for Women University Pakistan, where I am involved in Research, Development, Teaching, management & administration. I also served as President of Pakistan Student Association, Thailand and life Patron of AIT Alumni Association (Pakistan, Thailand). I have numerous publications and is an editorial board member of many prestigious research journals. I am a member of many prestigious organizations including IEEE & ACM USA. I have organized and participated in many national and international conferences and workshops. I also worked as a Research Scientist and dual PhD candidate in the Center for Wireless Communications at University of Oulu, Finland. My area of research involves application of Information & Communications Technologies for real time applications and socio-economic development of underprivileged communities.

Dr. Muhammad Sana. Ullah

He is currently working as an associate professor of electrical and computer engineering department at Florida Polytechnic University, USA. His research focuses are the modeling of RLC interconnects in high density integrated circuits and energy-efficient electronic devices (TFET) for logic applications based on emerging 2-D nanomaterials (MoS2, Graphene, and CNT). He also worked on a neural-network-based classification of deceptive and stress speech using non-linear spectral and cepstral features during his master’s study. In his Ph.D. dissertation, he investigated the high-speed very-large-scale integration (VLSI)interconnect and energy-efficient electronic devices for emerging post-MOSFET and beyond silicon technologies. Before joining Florida Poly, Ullah worked as a full-time lecturer from 2008 to 2011 at the Chittagong University of Engineering & Technology (CUET), Bangladesh. From 2011 to 2013, he worked as a teaching assistant at Purdue University Northwest. He began working as a full instructor at the University of Missouri-Kansas City while he pursued his doctoral degree. He has taught undergraduate courses in electrical circuits, digital logic designs, signals and systems, VLSI design, power aware design and graduate courses in advanced digital signal processing, advanced VLSI design, advanced power aware design with emerging applications of nanotechnologies, including hands-on experience in MATLAB, Cadence Virtuoso, and HSPICE.

Dr. Abdul Hafeez

Dr. Abdul Hafeez received PhD (Information Technology) degree from Kulliya of ICT, International Islamic University Malaysia. Before that, He earned PhD (Software Engineering) from international Islamic University Islamabad, Pakistan. He has almost 23 years of teaching, research and administration experience in national and international universities. He has published more than 30 research articles in well recognized national and international journals and conferences. He is also reviewer of and member of organizing team of national and international journals and conferences. His research area is Software product design and development.

Dr. Khurram Shahzad

Dr Khurram Shahzad is a Tenured Associate Professor at the Department of Data Science, Faculty of Computing and Information Technology, University of the Punjab, Lahore. He holds a Master and PhD from KTH Royal Institute of Technology, Sweden. He has been associated with the leading research groups at Technical University Eindhoven, The Netherlands, University of Fribourg, Switzerland, and Stockholm University, Sweden. Also, he has been Guest Researcher at BT Innovation Centre at Ulster University UK.

Dr. Raza Ul Mustafa

Raza Ul Mustafa is a postdoctoral fellow in the Department of Computer Science at American University, USA. He received his PhD in Computer Engineering from the University of Campinas, Brazil. As a part of INTRIG research group, he worked on Industrial projects by Ericsson, Brazil and INRIA France. Prior to this, he has 5+ years of Industry experience in Web-technologies and Graphics. His research interests are Machine & Deep Learning, with a special interest in Natural Language Processing and Multimedia.

Dr. Waqas Haider Khan Bangyal

Dr. Waqas Haider Khan Bangyal received his Ph.D. in Computer Science. Dr Bangyal is currently an Associate Professor and In Charge Dean of Faculty of Computing at Kohsar University, Murree, Pakistan. Dr. Bangyal has over 50 publications, including book chapters, journal and conference papers. His publications have been published in the top venue, such as IEEE, Elsevier, and Springer. His research interests include Optimization, Machine Learning & Meta-heuristics, Image Processing, and Pattern Recognition. He is a senior member of ACM and IEEE.

Dr. Muhammad Khurram Ehsan

Dr. Muhammad Khurram Ehsan received the B.S. degree in Computer Engineering from Comsats Institute of Information Technology in 2006. He had completed his MS in Electrical communication engineering and the Ph.D. degree in Engineering with specialization in statistical signal processing/Wireless Communication from the University of Kassel, Germany, in 2010 and 2016, respectively. He had been visiting lecturer from July 2016 to June 2018 in REMENA Program, University of Kassel, Germany. Since July, 2023, he has been an Associate Professor with the Faculty of Engineering, Bahria University, Pakistan. His research interests include statistical modeling, data analysis, and Intelligent radio enabled systems that include wireless sensor networks and Artificial Intelligence of things. He has published number of articles at the intersection of wireless communications and machine learning in the reputed international journals of IEEE, Elsevier and Springer etc. As a Reviewer, he is closely working with IEEE Transactions on Intelligent Transportation Systems, Elsevier journal of Network and Computer Applications, IEEE System Journal, and also with IET Communication.

Dr. Syed Saqib Raza

Dr. Syed Saqib Raza completed the PhD degree in Computer Science from the national College of Business Administration & Economics, PK., in 2020, and joined academia where he worked at different positions including Lecture and Assistant Professor. Dr. Syed Saqib Raza research interests are in Machine Learning and Artificial Intelligence. He has supervised numerous MS and currently co-supervising one PhD research projects. He authored 9 research ISI-indexed and impact factor papers.

Dr. Muhammad Asadullah

Dr. Muhammad Asadullah working as Assistant Professor in department of Information Technology, The Islamia University of Bahawalpur. He also served more than 8 years as faculty member (Lecturer & Assistant Professor) in Department of Computer Science & IT University of Lahore. He had done his PhD from NCBA&E, Lahore in 2020. His area of research is Artificial Intelligence, Computational Intelligence and Machine Learning. He published 9 research articles in well reputed international journals in which 5 are impact factor "W" category journals and rest of 4 are "X" category journals. He is an active researcher currently advising M.Phil and PhD students.

Dr. Adeel Javed

with over 15 years of comprehensive experience in both the IT industry and academia, my professional journey has been marked by significant contributions to cutting-edge projects within the Fintech sector. Throughout my career, I've had the privilege of tackling some of the most challenging initiatives in the data space, including the implementation of IFRS17 standards for anti-money laundering, the development of gen-AI bots to enhance HR processes, and leveraging AI to reduce project could start time. My exposure to both academia and industry has afforded me a unique perspective on the disparities between theoretical knowledge and practical requirements in the field of data science. While the realm of data science stands out as one of the most demanding and lucrative domains within modern AI dynamics, it necessitates a specific set of skills to navigate successfully. Recognizing the existing gaps in skillsets required for this dynamic field, I have recently dedicated my efforts to bridging these divides and contributing to the evolution of data science in both academic and industrial contexts.

Dr. Khurram Gulzar

Dr. Khurram Gulzar Rana is working as Assistant Professor in Quaid-i-Azam University Islamabad, Pakistan. He received his PhD degree in Information Security from Beijing University of Technology, Beijing, China. His research interests include Wireless Sensor Networks, Ad hoc Network, Security of Wireless and Ad hoc Networks, Cryptography and Data Privacy.

Dr. Ansar Siddique

Ansar Siddique received his PhD from International Islamic University, Islamabad. He has many years of experience in teaching, research, and educational administration. He has published his work in different journals and proceedings of international conferences. His research focuses on e-learning, adaptive learning systems, ICT integration in education, usability and software engineering. He is serving as reviewer in several refereed international journals and the IEEE sponsored conferences. Presently he is working as Sr. Associate Professor in Department of Computer Sciences, Bahria University Lahore Campus (BULC), Pakistan.

Dr. Shazia Saqib

Dr. Shazia Saqib holds a PhD in Deep Learning from GC University Lahore. She has experience in teaching for last 28 years in well reputed universities and institutions like GC University, Punjab University, Lahore Garrison University, Institute of Cost and Management Accountants of Pakistan and National School of Public Policy. She has taught different courses that include Deep Learning, Machine Learning, Digital Image Processing, Algorithms, Data Structures & Algorithm Design, Assembly Language Programming, Operating Systems and Object-Oriented Programming. Her research interest is in Video Summarization and Recognition, Semantic Segmentation, Health and Sports Analytics.

Dr. Danish Shehzad

Dr. Danish Shehzad is working as an Associate Professor in the department of Computer Science, Superior University Lahore. He also has the additional charge of Quality Head of Superior University Gold Campus. His research interests mainly include Networks and Information Security, Steganography, Blockchain, IoT Security, VANET Security, Signcryption, Public Key Cryptosystems etc. Before that he worked as an Assistant Professor and Graduate Studies Coordinator in FAST National University of Computer and Emerging Sciences Pakistan. He has over 13 years’ experience both in Industry and Academia. He has worked on various funded projects as Co-PI including “New Opportunities and Challenges of Smart Cities using Multi-agent Systems; funded by the Deanship of Scientific Research at King Khalid University and “Lightweight Fine-grained Access Control and Its Applications” funded FAST National University of Computer and Emerging Sciences. In the past he worked as a researcher on project: “Brain Inspired Run-time system for very large-scale brain simulation” (BiRTS) project funded by Scientific and Technological Research Council of Turkey (2014- 2016). He published over 35 research articles in well reputed International Journals and Conferences. He has reviewed articles from around 20 esteemed journals and has been a member of organizing committees and chair in various local and International Research Conferences.

Dr. M. Usman Ashraf

M. Usman Ashraf received PhD (Computer Science) degree in 2018 from King Abdul-Aziz University, Saudi Arabia. He is an Associate Professor and Head of department of Computer Science, GC Women University, Sialkot, Pakistan. His research on Exascale Computing Systems, High Performance Computing (HPC) Systems, Parallel Computing, HPC for Deep learning, and Location Based Services System has appeared in IEEE Access, IET Software, International Journal of Advanced Research in Computer Science, International Journal of Advanced Computer Science and Applications, I.J. Information Technology and Computer Science, International Journal of Computer Science and Security and several International IEEE/ACM/Springer conferences. He served as HPC Scientist at HPC Centre King Abdul-Aziz University, Saudi Arabia as well.

Dr. Muhammad Zubair

Dr. Zubair working as Assistant Professor in Computer Science at Khushal Khan Khattak University, Karak

Dr. Nauman Riaz Chaudhry

Dr. Nauman Riaz Chaudhry is a distinguished individual with a robust academic and professional background in the realm of Computer Science. Commencing his teaching career in 2005 at the University of Gujrat. He is an accomplished researcher with a Ph.D. in Cloud-based Modeling and Simulation, Cloud-based Distributed Simulation, and Big Data Analytics from Brunel University London. His expertise spans a diverse range of domains, including Advanced Computing Infrastructures for Modeling and Simulation, Open Science for Simulation, Hybrid Distributed Simulation, Machine and Deep Learning, and Big Data Analytics.

Dr. Muhammad Usman Ali

Muhammad Usman Ali received the M.S. degree in computer networks engineering from the University of Engineering and Technology, Taxila, Pakistan, in 2008, and the Ph.D. degree from Yeungnam University, South Korea, in 2018. He is currently working with the Department of Computer Science, University of Gujrat, Pakistan. His current research interests include multi-sensor fusion-based indoor positioning systems, Wi-Fi fingerprinting, indoor navigation and mapping, computer vision, and computer networks technologies.

Dr. Amjad Ali

Dr. Amjad Ali received his Ph.D. from Electronics and Radio Engineering Department at Kyung Hee University, South Korea in 2015. From 2015-2022, he served as Assistant Professor at the Department of Computer Science, COMSATS University Islamabad, Lahore Campus, Pakistan. He was a Postdoctoral Fellow and Research Professor with the Department of Information and Communication Engineering, Inha university, and with the School of Electrical Engineering, Korea University, South Korea, respectively from 2018-2019. Currently he is working as Postdoctoral Researcher at College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar. He published more than 80 research papers in peer reviewed conferences and journals. His cumulative impact factor is 274 with 2183 google scholar citations. He worked on many funded projects. He is editor and reviewer of top IEEE Journals and transactions. He served as a TPC and Chaired sessions for many top IEEE Conferences. His main research interests include 6G networks, intelligent future networks, metaverse, autonomous electric vehicles, cognitive radio networks, machine learning, Internet of Things, cloud and edge computing.

Dr. Muhammad Attique Khan

Muhammad Attique Khan (Member IEEE) earned his Master's and Ph.D. degrees in Human Activity Recognition for Application of Video Surveillance and Skin Lesion Classification using Deep Learning from COMSATS University Islamabad, Pakistan. He is currently an Assistant Professor of the Computer Science Department at HITEC University Taxila, Pakistan. His primary research focus in recent years is medical imaging, COVID-19, MRI analysis, Video Surveillance, Human Gait Recognition, and Agriculture Plants using Deep Learning. He has above 280 publications that have more than 12,000+ citations and an impact factor of 820+ with h-index 65 and i-Index 185. He is reviewer of several reputed journals such as IEEE transaction on Industrial Informatics, IEEE transaction of Neural Networks, Pattern Recognition Letters, Pattern recognition, Future Generations, Multimedia Tools and Application, Computers and Electronics in Agriculture, IET Image Processing, Biomedical Signal processing Control, IET Computer Vision, Eurasipe Journal of Image and Video Processing, IEEE Access, MDPI Sensors, MDPI Electronics, MDPI Applied Sciences, MDPI Diagnostics, and MDPI Cancers. He is also lead and guest editor of several special issues in the well reputed journals such as Measurement, IET CAAI Transaction, CMC, CSSE, Sustainable Energies, and a few more.

Dr. Tariq Umer

Tariq Umer received his Ph.D. in Communication systems in 2012 from School of Computing & Communication, Lancaster University, U.K and Master in Computer Science in 1997 from Bahauudin Zakariya University, Multan, Pakistan. He served for IT education sector in Pakistan for more than 13 years. Since January 2007, he is working as Tenured Associate Professor in CS department of COMSATS University Islamabad, Lahore Campus, Lahore. His research interests include Digital Twin, Vehicular Ad-hoc Networks, Internet of Vehicles (IoV) Internet of Things (IoT), Internet of Drone (IoD), Wireless sensor Networks, and Telecommunication Network Design. He served in the TPC for the different International and national level conferences. He is currently serving as an Editorial board member for Future Generation Computer Systems (Elsevier) and IEEE Access. He is serving as a reviewer for IEEE Communications Letters, IEEE ACCESS, Computers and Electrical Engineering (Elsevier), Journal of Network and Computer Applications (Elsevier), Ad Hoc Sensor Wireless Networks, Wireless Networks (Springer) journal, and the Journal of Communications and Networks. He is the active member of Pakistan Computer Society and Internet Society Pakistan.

Dr. Syed Farhan Alam Zaidi

Syed Farhan Alam Zaidi was born in Lahore, Pakistan, in 1993. He received a B.S. degree in Information Technology from the University of Education, Lahore, Pakistan, in 2014, and an M.S. degree in Computer Science from COMSATS University Islamabad, Pakistan, in 2017. He earned his Ph.D. degree in Computer Science and Engineering from Chung-Ang University, Seoul, South Korea, in 2022. Currently, he is working as a Post-Doctoral Researcher at the Department of Architectural Engineering, Chung-Ang University, Seoul, South Korea, where he is engaged in research on Vision technology-based safety solutions for the construction industry. After completing his B.S. degree, he worked as a Web Developer with a software development company in Pakistan. Following the completion of his M.S. degree, he became involved in teaching as a Visiting Lecturer at the University of Education, Lahore, and the University of Management and Technology, Lahore, Pakistan. His research interests encompass software engineering-based problems, deep/machine learning, natural language processing, computer vision, and medical imaging.

Dr. Safiullah

Safiullah Khan received the B.Sc. degree in electronic engineering from the University of Engineering and Technology, Peshawar, Pakistan, in 2013, and the M.Sc. degree in electrical engineering from COMSATS University Islamabad (Abbottabad Campus), Abbottabad, Pakistan, in 2017. He earned his Ph.D. degree in computer engineering from Gachon University, Seongnam, South Korea in 2023. He has worked with Research and Development Department, National Radio and Telecommunication Corporation, Pakistan, for two years from 2017 to 2019. He also worked as a Research Assistant in Hongik University, Sejong, South Korea and a Research Fellow at Queen's University, Belfast, Northern Ireland. He is currently serving as an Assistant Professor in Department of Computing and Mathematics at Manchester Metropolitan University. He is also a visiting scholar in Centre of Secure Information Technologies at Queen's University Belfast. His research interests include efficient hardware implementations of cryptographic protocols, blockchain, and network security.

Dr. Farhan Amin

Farhan Amin (Member, IEEE) received a Ph.D. degree from the Department of Information and Communication Engineering, College of Engineering, Yeungnam University, Gyeongsan, South Korea, in October 2020. He worked as an Assistant Professor at the Department of Computer Engineering, Gachon University, South Korea. Since March 2022, he has been an Assistant Professor with the Department of Information and Communication Engineering, at Yeungnam University. He has more than 10 years of teaching and research experience. He has delivered various keynote speeches, invited talks, invited lectures, and short courses. He has authored over 40+ publications (books, book chapters, journal publications, and conference publications). He has various Korean Patents. His research interests include the Internet of Things, social Internet of things, big data, data science, and Machine learning aspects in emerging technologies.

Dr. Muhammad Kazim

Muhammad Kazim (Member, IEEE) received the B.S. degree in electronics and the M.S. degree in electrical engineering from COMSATS University Islamabad, Islamabad, Pakistan, in 2013 and 2015, respectively, and the Ph.D. degree in control science and engineering from the Harbin Institute of Technology, Harbin, China, in December 2021. He was a Visiting Research Scholar with Prince University, Riyadh, Saudi Arabia, from September 2019 to February 2020 and January 2021 to July 2021. He is currently working as an Research Professor with the Department of Electrical and Computer Engineering, Inha University, South Korea. His research interests include Robotics (UAVs and UGVs), control theory, optimization and AI.

Dr. Adnan Abid

Adnan Abid is a Professor of Computer Science in the Faculty of Computing and Information Technology at the University of the Punjab, Pakistan. He is a senior member of IEEE, and member of the ACM. He has been associated with Editorial Boards of well-reputed journals in the area of Computer Science. He completed his PhD from Politecnico di Milano, Italy in 2012.

Dr. Muhammad Azeem

PhD from Beijing University of Technology , Gold Medalist in Master from Quaid-i-Azam University , Special Contribution Award from Beijing University of Technology , Science and Technology Award from Beijing University of Technology , Programmer, Resear

Dr. Hazrat Ali

Dr. Hazrat Ali is a distinguished educator and researcher with over a decade of experience in the field. His extensive research portfolio spans various areas of artificial intelligence, healthcare, and computer vision, with a specific focus on generative adversarial networks for medical imaging, and deep learning for ultrasound medical imaging. He has developed cutting-edge AI methods, such as GANs for disease transformation, GANs for medical imaging super-resolutions, which have been widely adopted and cited by the research community. He has published one book with Springer Nature Publishers. He is Senior Member of the IEEE, Associate Editor at IEEE, and lead guest editor at Frontiers in AI journal. He has authored more than 60 peer-reviewed articles in prestigious venues including IEEE CVPR, Nature Scientific Reports and IEEE Transactions on Circuits and Systems.

Dr. Mueen Uddin

Dr. Mueen Uddin has been included in the Top 2% of Research Scientists (Stanford and Elsevier report 2022 and 2023). He received his PhD from Universiti Teknologi Malaysia UTM in 2013. He has around 15 years of Research and Teaching experience in the domain of Data and Cybersecurity, Blockchain and the security of Cyber-Physical Systems. Currently, he is working as an Associate Professor of Data and Cybersecurity at the University of Doha for Science and Technology Qatar. Dr. Mueen has co-authored over 170 peer-reviewed research papers in highly cited journals and conferences. He is currently serving as Editor/ Associate Editor/GE in various prestigious journals. He is a Senior Member IEEE, ACM, AIS and was awarded a Higher Education Academy (HEA) Fellowship from the UK.

Dr. Ghulam Rasool

Dr. Ghulam Rasool received Msc in Computer Science from BZU (Multan, Pakistan) in 1998. In 2006, he joined the University of Lahore, Pakistan and completed MSCS in 2008. He proceeded for higher education and completed his PhD in the area of " Reverse Engineering" in 2011 from Technical University of Ilmenauu, Germany. He is currently an Associate Professor in the COMSATS University Islamabad, Lahore Campus. He has more than 22 years of teaching and research experience at national and international levels. His research interests include Reverse Engineering, Design Patterns and Antipatterns Recovery, Program Comprehension and Source Code Analysis.

Dr. Syed Hamid Hussain Madni

Dr. Syed Hamid Hussain MADNI is a currently based in Malaysia and working as an Assistant Professor at School of Electronic and Computer Science, University of Southampton Malaysia. He has published 30 research articles ISI / Scopus with Cumulative IF 31+ along with H-index 12 and I-index 13. His areas of interest are cloud computing, analysis of algorithm, cybersecurity, e-commerce, web development and Internet of Things (IoT). He is serving as an editorial member, reviewer and session chair in several journals and conferences. He is working on various research projects with Malaysia, Pakistan and Saudi Arabia in different domains including the Green IoT, Blockchain, IoT in E-Learning, E-Health, E-Tourism and Industrial IoT etc. He is also participating as a keynote speaker in several trainings and webinars on different research aspects on various research platforms within USMC and International Universities of Pakistan, Iraq, Saudi Arabia etc. He has served as an organizer in various workshops, seminars, events and trips with SPS, PGSS-SC UTM, UTM International, ISS-Pak ISC UTM, FUUAST, Islamabad and Connecting Asia.

Dr. Yasir Khan

Dr. Yasir Niaz Khan obtained his Ph.D. at the University of Tubingen in 2013. During his Ph.D. he conducted research on detection of terrain (ground surfaces) using a camera mounted on a flying and a ground robot. Upon completing his graduate studies, Dr. Khan started teaching at FAST-NU, Lahore, Pakistan. He started a new robotics Lab at FAST-NU for students to promote robotics in Pakistan. Dr. Khan supervised many national and international level robotic workshops held at FAST-NU where professors and students from different universities presented their works. Dr. Khan joined The University of Lahore, the largest private sector university in Pakistan, and has started to extend his work further. He is now Director of Research Group on Robotics and IoT that he established at the university. He is also involved in a project on Agricultural Automation for the 3 years funded by DAAD Germany. The project includes visits to and from Germany of Pakistani and German researchers every year. He has been working as a consultant with industry including Engro Corp, Fayvo Intl, Securenvoy. Currently he is working at 10Pearls as an AI Architect. For more information on Prof. Khan's work visit www.yasirniaz.com

Dr. Fiaz Majeed

Fiaz Majeed received Ph.D. degree in computer sciences from the University of Engineering and Technology, Lahore, Pakistan, in 2016. He is currently an Associate Professor with the Faculty of Computing and Information Technology, University of Gujrat (UOG), Pakistan. His research interests include Data Science, Machine Learning and Information Retrieval. He has published 40 articles in refereed journals and international conference proceedings in the above areas. He is a Reviewer for several renowned international journals.

Muhammad Bilal

Muhammad Bilal is currently working as a Senior Lecturer at Sunway University's School of Engineering and Technology. Previously, he served as an Assistant Professor at the University of Southampton Malaysia. His earlier roles include Assistant Professor and Incharge at FAST National University of Computer and Emerging Sciences, Tutor at Taylor's University, Lecturer at the University of Sargodha, and Software Developer at Sofizar. He has overall more than ten years of teaching experience. He received his Ph.D. degree from Taylor's University and was awarded the Taylor's Ph.D. Scholarship. He has authored and co-authored several journal and conference research papers.

Engr. Ayesha Siddiqa

Engr. Ayesha Siddiqa, Mechatronics Engineering specializing in Machine Learning, is recognized for her pioneering research in optimizing patient care. Her thesis, titled 'Robust Length of Stay of Indoor Patients Through Machine Learning,' underscores her dedication to leveraging cutting-edge technology for enhanced healthcare outcomes. Ayesha is driven by a passion for applying innovative solutions to real-world challenges, positioning herself at the forefront of the intersection between technology and healthcare. With a keen focus on predictive analytics, her work is poised to shape the future of patient care through the precision of machine learning.

Dr. Ayesha Altaf

Ayesha Altaf is an Academician and Researcher in Cyber Security. Pakistan's NUST granted her an MS in Information Security (2009) and a Ph.D. in Information Security (2021). Her professional services include, but are not limited to, Industry Consultation, Workshops Organizer/Resource Person (Workshops/Seminars), Technical Program Committee member, teaching (UG/PG/PhD) courses, research and development, and reviewer for various international journals/conferences. She has almost 14 years of experience teaching at the university level.. She has published more than twelve scientific research publications in major international journals (ISI-Indexed) such as IoTJ, JNCA, JSA, and CEE Journals.

Dr. Farooq Ahmad

Farooq Ahmad is HoD/Associate Professor in the Department of Computer Science, COMSATS University, Lahore. He did his PhD in Computer Science from Harbin Institute of Technology, China in 2009. He has numerous publications in reputed international journals. He is an Editor of the Journal VFAST Transactions on Software Engineering and has been the vice-chair of IEEE computer Society Lahore Section for 2011-12. He has been the conference co-chair as well as an invited speaker for several national and international conferences.

Dr. Syed Ali Raza

I am Dr. Syed Ali Raza, currently serving as an Assistant Professor in the Department of Computer Science at GC University Lahore. Since joining GCU in 2009, I have been dedicated to advancing the fields of Artificial Intelligence and Natural Language Processing. Currently, I am also the Program Coordinator for the BS Artificial Intelligence Program at GCU. My doctoral research focused on Content-based Automated File Organization using Machine Learning, culminating in the award of my PhD degree. Over the years, I have supervised over 25 research theses at the MS/MPhil level and have contributed 16 publications to various national and international journals and conferences.

Dr. Faiza Iqbal

Faiza Iqbal (Ph.D., NUST, Pakistan) directs multiple IoT-based software development initiatives. She received Pakistan’s Higher Education Commission Indigenous Scholarship for MS leading to the Ph.D. She is presently working with the Department of Computer Science, University of Engineering and Technology, Lahore, Pakistan. Her current research interests include IoT based smart applications, network optimization modeling and data analytics for high-performance protocol design. She has published research in top international journals and conferences with a cumulative impact factor of 50+. Professionally, she serves as member of the program committee, technical committee, and reviewer panel for numerous international journals and conferences.