2nd International Conference on Communication, Security and Artificial Intelligence (ICCSAI-2023) is being organized by Galgotias University; India on November 23-25, 2023. The University is based in Greater Noida (NCR New Delhi, India), has an enrolment of over 19,000 students across more than 100 Undergraduate and Post Graduate program, is devoted to excellence in teaching, research and innovation, and to develop leaders who'll make a difference to the world. ICCSAI 2023 is a non profit conference and it will provide an opportunity to the practicing engineers, academicians and researchers to meet in a forum to discuss various issues and its future direction in the field of Computer & Communication Engineering and Technologies. The conference aims to put together the experts from the relevant areas to disseminate their knowledge and experience for the relevant future research scope. The conference is technically sponsored by IEEE UP Section. There are multiple tracks in the conference covering almost all areas of Computer & Communication Engineering.
The ICCSAI-2023 focusing to address issues and developments in advanced computing. The conference aims at bringing together researchers and practitioners in the world working on computing, communications Information Security and Artificial Intelligence. This conference seeks to bring together international researchers to present papers and generate discussions in recent trends and developments of computing. The conference will feature a range of presentations on latest research activities as well as stimulating talks and keynote addresses. We are confident that this conference will provide an good opening for researchers to share their ideas and allow future collaboration prospect. Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements.
Second international Conference on Communication, Security and Artificial Intelligence (ICCSAI 2023) invites original contributions based on the results of research and developments. Prospective authors are requested to submit their papers in not more than 6 pages, as PDF prepared in the two column IEEE format. Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements Which indexed with world’s leading Abstracting & Indexing (A&I) databases, including ISI / SCOPUS/ Google Scholar.Authors interested in presenting manuscripts that demonstrate original unpublished research in the areas of Informatics are invited to submit their Full Papers. Informatics aspects have been organized around nine different thematic tracks:
Clustering & Classification, Online learning, Reinforcement learning, Semi-supervised and Unsupervised learning, Time series analysis, Deep learning architectures, Generative models, Deep reinforcement learning, Learning Theory, Optimization Techniques, Nature inspired optimization techniques, Probabilistic Inference, Trustworthy Machine Learning, Applications of Machine Learning, Natural Language Processing, Computer Vision.
Block Chain, Application of Block Chain, Cryptography, Water Marking, Privacy and Preservation, Information Security, Digital Services and Protection Mechanism, Cyber Security.
Mobile ad-hoc networks, Mobile Identity Management, Security access policies, Network security management, Privacy-respecting authentication issues, Sensor N/W, Data Communication, Wireless Sensor Network, Wireless Communication, Architectural Structure, Design Decisions and Philosophies, Autonomic Management of Ubiquitous Systems, Ubicomp Human-Computer Interaction for Devices, Ubiquitous Systems and Trust, Vehicular ad-hoc network, Flying ad-hoc network.
Big Data Analytics, Semantic web, Data warehousing and Mining, Object and multi agent system, Data mining, Database systems, Web search & Web Security, Search engines, Dataset Dynamics and Synchronization, Web-Based Health- and Bio- Information Systems, Nature-Inspired Models and Approaches for Web Intelligence, Content Management and Semantic Web, Web Mining, Business Analytics.
Component based and service-oriented software systems. Software engineering, reliability and testing, information retrieval & security, knowledge engineering & management, information, system modelling and simulation techniques.
Robotics and Automation Autonomous Agents, Engineering Applications on Robotics and Automation, Systems Mobile Robots and Intelligent Autonomous Systems Modelling, Simulation and Architecture Network Robotics Perception and Awareness Robot Design, Development and Control Space and Underwater Robots Surveillance, Fault Detection and Diagnosis Telerobotic and Teleoperation Vehicle Control Applications Virtual Environment, Virtual and Augmented Reality Vision, Human Computer Interface, Bio-Inspired Robotics, Cyborg, Digital Personality, Molecular Computing.
Renewable Energy, Green Design, Products and Manufacturing Processes, Emerging and Advanced Green Energy Technologies, Energy Efficient Designs and Standards, Supply and Technologies, Energy Management Systems, Green Technologies in Information, Green Energy in Transport, Sustainable Cities, Architecture and Green Buildings, Green Nanotechnology, Rural Development through Green Energy, Global Warming, Automation Applications in Environmental Technology, Waste Management and Waste Water Treatment, Low Carbon Economy and Society, Environmental Chemistry and Pollution Control, Solid Waste Valorisation, Resource and Environment Greenhouse Gas Mitigation and Climate Change, Computational Models for Sustainable Development, Biofuels / Biofuels Cells, Environmental Remote Sensing Applications, Environmental Process Simulation, Solar Energy and Photovoltaic Technology.
Distributed & Parallel Computing, High Performance Computing, Cloud Quality Management & Service level agreement, Cluster, Cloud, & Grid Computing, Mobile Computing, Edge Computing, Fog Computing, Cognitive Computing.
Recognition and Reconstruction Nonlinear Signals and Systems Optimization Problems in Signal Processing Real-Time Systems Control Sensors Fusion Signal Reconstruction System Identification System Modelling Time-Frequency Analysis, Logic based planning, VLSI Designing & Modelling, Simulation & Automation, Process Monitoring, Reliability & Fault tolerance, Embedded Software and Hardware Architecture Techniques.
Chair 1 : Dr. Shalli Rani, Associate Professor, Chitkara University Institute of Engineering and Technology, Punjab
Chair 2 : Dr. Himanshi Babbar, Assistant Professor, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab
The ability to organize hardware in standard methods gives boost to modernize smart & intelligent device control. A great deal of enterprise is starting to receive this innovation on to their activities to build their profitability and improve effectiveness. IoT offers some intriguing applications to our lives simpler like in Healthcare, Transportation, and Agriculture. Different subareas like machining learning, security, privacy, data analytics, clouding computing & protection are considered the crucial part of IoT. To convert smart cities roadmap into reality, all the above areas need to be evaluated and considered for new research plethora. The aim of this special session on Security Issues in WSN and Use of Machine Learning in IoT Applications is to bring together innovative Academics, Researchers and Industrial experts to discuss the theoretical and practical challenges encountered and the solutions adopted
Topics of Interest: Security Issues in WSN, Cloud Computing and AI, Secure Software Defined Networking (SDN) , Named Data Networking (NDN) Security, Secure Data Mining in IoT Applications, Security & Privacy in Machine Learning, Industrial Automation over Secure IoT, Smart and Secure Society in WSN, Information Security using Data Mining, Network Security using Machine Learning/Data Mining, Blockchain, Fog/ Edge Computing.
Chair : Dr. Sumit Badotra, Bennett University, Greater Noida, Uttar Pradesh
Co Chair 1: Dr Sarvesh Tanwar, Amity University Institute of Technology, Noida, Uttar Pradesh
Co Chair 2: Dr Gurpreet Singh,Lovely Professional University, Phagwara, Punjab
With the use of SDN the dynamic and very much efficient management of all networks related resources in order to deliver varied services is very easy. This leads to easy configurability and thus leveraging the SDN controller the ultimate controller intelligence and global network programmability. The radical new idea of SDN helps the network systems to deliver an abstracted view and at the same time maximizes the resource utilization. One of the most promising and emerging solution to these networks is artificial intelligence. It becomes a track way to speed the core intelligence of the brain of SDN architecture i.e. SDN controllers. Both the technologies (Machine learning and artificial intelligence (AI) ) are very much adequate and effective for the SDN network communication processability. With the use of ML and AI SDN controllers can be trained in a more sophisticated manner and various network policies and provisioning can be achieved easily.
This session aims to provide and anticipates various cutting-edge SDN technologies based on ML and AI techniques, current research findings, gaps, problems with a varied range of other aspects within intelligent SDN technology (Data Plane, Application Plane and Control Plane) for modern generation networks and architectures.
Topics of Interest: Load balancing in energy constrained environments using AI/SDN, Software Defined Networking, AI Enabled Security Leveraging AI/SDN/NFV for network slicing in 5G and Beyond Networks, Use of Machine learning in smart networks, IoT enabled Network security Security and functionality of industrial IoT network, High security and privacy with AI/SDN, Application of software-defined networks/AI in Fog computing, UAV, resource management, and edge computing, AI/SDN for mission-critical applications, Network anomaly detection, botnet detection and traffic re-routing, SDN network complexity by using machine learning traffic flow classification techniques, High level SDN policies for various derived flow classes in machine learning.
Chair : Dr. Ihtiram Raza Khan, Jamia Hamdard, Delhi, India
Co Chair : Dr. Neetu Faujdar, GLA University, Mathura, Uttar Pradesh, India
The ubiquity of information technology and computer power can be applied in many areas ranging from industrial production to everyday. Therefore, it is essential to develop better understandings and design methodologies for large scale pervasive systems for various domains, and societal challenges. Pervasive computing has been greatly supported by the internet of things. The use of internet of things has created the environment that helps in the management of the different modules that are the part of the complete system, which can work effectively without the interference with the other components of the system. The cloud environment with the internet of things can help in getting the greater extend of data sharing. Little attention has been provided to the security of the various stakeholders that are the part of the system. IoT cloud integration involved privacy, security, and personal safety risk of the stakeholders. Not only are these types of security attacks possible, but there is also the possibility of attack on the IoT components like hardware manipulation to disrupt the services. As we are on the network, all the communication attacks of network are also possible. The ever-growing usage of computer systems in a wide variety of fields has generated a large demand of computer professionals. Artificial Intelligence - Human intelligence exhibited by the machines has occupied the glossary of succeeding era of science fiction admirer, computer scientists and medical researchers. Artificial Intelligence is poised to transform medicine at a basic science, clinical, healthcare management, and financial level. Machine Learning – Essence of computer algorithms that can learn patterns and complex relationships from pragmatic data and produces precise decisions. Machine Learning is the growing field in computer science and Health Informatics is amongst the greatest application challenges, giving accuracy and benefits in medical diagnoses, pharmaceutical development and disease analysis. Healthcare Industry is facing complex challenges and hence it needs an intelligent tool to tackle it. All the programs feature a combination of theoretical and practical elements in order to provide the students a platform for correlating the learning.
Topics will be covered: Computer Networks, Ad-hoc Networks, Wireless and Sensor Network, P2P Networks, Software Defined Network, Network beyond 5G, Network Security, Network Technology, Network Management and Traffic Engineering, Cross-Layer Design and Optimization, Artificial Intelligence and Healthcare, Bio-Informatics and Machine Learning, Biomedical Engineering
Chair : Dr. Shakeel Ahmed, King Faisal University, Al-Ahsa 31982, Saudi Arabia
Co Chair : Dr. Parvathaneni Naga Srinivasu, Prasad V Potluri Siddhartha Institute of Technology, Vijayawada, India
In recent years, the domain of Big Data for healthcare has emerged as the most sought-after field for research, encompassing various interdisciplinary technologies such as mathematical and statistical assessment of domain and business knowledge via algorithms such as evolutionary algorithms, Differential Algorithms, Genetic Algorithms, Swarm Intelligence, Optimization algorithms, and nature-inspired algorithms. Big Data is connected with data mining, which is used to make future forecasts and risk assessments using structured and unstructured data collected from diverse sources of information.
Conventional data management technologies are incapable of handling such massive amounts of data. In this case, combining several algorithms with soft computing approaches and optimization algorithms might provide successful results. All of these hybrid methodologies may be used in a variety of industries, including health care monitoring, market forecasting, e-commerce, consumer behaviour research, agriculture sector business analysis, and the industrial sector. Big Data encompasses a number of stages in the process of contextual and predictive analysis, such as data discovery, data preparation, data analysis, feature engineering, communication, and report generation, all of which are enabled by the hybridization of Meta-Heuristic approaches with soft computing approaches and real-time processing algorithms.
The session focuses on emerging Big Data tools, methodologies, and technologies that address the collecting and interpretation of complex data in healthcare sector to handle data of divergent size, variety, and velocity. It provides information on scalable computing models for data-driven decision models and context-based research projects. This session includes novel ideas and suggestions for data science applications that combine state-of-the-art theory, techniques, and implementations.
The current theme of this track is to take the submissions in the following areas but not limited to: Recent technologies in risk assessment in healthcare using machine learning, Processing information gathered by diagnostic imaging machines, Studies on IoMT's potential in the realms of diagnosis and risk assessment, Developments in imaging and treatment in patient-centric infrastructure, IoT-enabled healthcare services, Human behavior modeling and analysis in healthcare, Using Deep Learning to Analyze Past Medical Records, Privacy and security in healthcare, Ambient Assisted Living Environment for well-being of senior citizens.,Explainable AI models for Decision support systems for healthcare and wellbeing.
Chair : Ms. Shweta Roy, ABES Engineering College, Ghaziabad, India
Co Chair : Ms. Sandhya Avasthi, ABES Engineering College, Ghaziabad, India
The discipline of computational linguistics, also known as natural language processing (NLP), combines linguistics and computer science. It is a subfield of artificial intelligence concerned with the linguistic study of language computing, data mining, machine learning, knowledge engineering, and knowledge acquisition. This topic is difficult due to the diversity, ambiguity, robustness, information dependence, and context of language. There is a close relationship between machine translation (MT), which refers to the use of computers to autonomously translate one language into another, and the rise of natural language processing. Due to the substantial potential of this discipline as a disruptive technology, it is becoming an increasingly popular area of study. Utilizing a variety of strategies, tools, and techniques, it confronts various language barriers head-on in order to facilitate effective translation and cross-language communication. Due to the fact that NLP and MT systems rely on vast data sets and computing power, there are still numerous issues to be resolved. Machine translation (or MT for short) Automatic language translation (MT) is a branch of computational linguistics that studies how computers can be programmed to interpret written or spoken language. Word-for-word translation (WFT) is the foundation of MT; however, this alone rarely yields a decent translation, as recognition of complete phrases and their closest equivalents in the target language is also needed.
Topics of Interests : Techniques of machine translation, Question answering systems, Machine Learning for NLP, Machine translation System and deployment, Evaluation of machine translation quality, NLP for machine translation, Semantics and syntax parsing, Language model, Interpretability and Analysis of models for NLP, Speech and multimodality
Chair : Dr. Himanshu Payal, Sharda University, Greater Noida, India
Co Chair : Dr. Akanksha Mishra, Sharda University, Greater Noida, India
The aim of this special session is to give insights on Non-Conventional Machining of Hard Materials and recent advances of science and technology in thermal engineering, heat exchanger, cryogenics and its application. It will address issues related to advances in the non-conventional machining of a wide range of materials, such as metals, ceramics, composites and alloys. The utilization of non-conventional machining technology is to machine difficult-to-hard materials in terms of accuracy and precision, overcoming the limitations of traditional machining processes such as the deterioration of machined surfaces due to heat exposure. The motivation behind this special issue is to gather important research articles in which further developed methods are presented with significant contributions to the machining process and application of experimental, analytical, or theoretical thermal and energy engineering. This issue focuses at the accumulation of recent trends and developments in the field—including experimental, simulation, and reviews.
The focus of session will be on Recent developments in the non-conventional machining process, New applications of machining in high-added value components, for aeronautics, automotive, windmill, energy, and other key sectors, Machinability of new composites, brittle and emerging materials, Modeling/simulation of non-conventional machining processes, Hybrid non-conventional machining processes, Renewable and clean-energy technologies, Thermal systems design to produce, store and efficiently use energy in industrial application, Components, devices and equipment for thermal engineering processes, Thermodynamics modeling and design analysis, Economic assessment of thermal engineering applications, Applications of heat and fluid flow, Thermoeconomic analysis, evaluation and optimization. Multi-Phase Flow and Heat Transfer, Heat and Mass transfer in the ecosystem, Heat and Mass transfer in Biomedical devices, Biofuels and Internal Combustion Engines, Micro/nano Heat Transfer, Biological Heat Transfer, Double Diffusive Convection, Air Conditioning and Refrigeration
Chair : Dr Sanjaya Kumar Panda, CSE, NIT Warangal, India
Co Chair 1 : Dr. Sarat Chandra Nayak, Department of ComputerScience, Yonsei University, Seoul, South Korea
Co Chair 2 : Dr. Sanjib Kumar Nayak, VSSUT, Burla
Intelligent computing systems have revolutionized the way data is analyzedandprocessed in various fields such as healthcare, finance, marketing, and manufacturing. These systems use advanced algorithms and artificial intelligence (AI) techniquestoanalyze vast amounts of data and derive valuable insights that can informdecision- making processes. The field of data analysis has been transformed by the emergenceof intelligent computing systems. These systems can performcomplex analysesoflarge data sets in a fraction of the time it would take a human analyst to doso. Thisspeed and efficiency allow businesses and organizations to make data-drivendecisionsmore quickly, giving them a competitive edge in their respective markets. Intelligent computing systems can also be used for predictive analytics, whichinvolvesusing data to make predictions about future events or trends. Predictive analyticscanbe applied in fields such as healthcare, where machine learning algorithms canbeusedto predict patient outcomes or identify individuals at risk of developingcertainconditions. In addition to their speed and efficiency, intelligent computing systems can alsoprovidemore accurate and reliable results than traditional data analysis methods. For example, in medical diagnosis, AI systems can analyze large amounts of patient data andidentifypatterns that may be missed by human doctors. This can lead to more accuratediagnoses and more effective treatments. Despite the many benefits of intelligent computing systems for data analysis, therearealso potential drawbacks to consider. One concern is the risk of algorithmic bias, wherethe algorithms are based on biased data sets and therefore produce biased results. Biascan also arise from the design of the algorithms themselves, which may reflect thebiases of the developers who created them. In conclusion, intelligent computing systems have transformed the field of dataanalysisby enabling faster, more accurate, and more efficient processing of large datasets. These systems have a wide range of applications in various industries, includinghealthcare, finance, and marketing. However, it is important to be aware of potential drawbacks and to consider how these systems can be used in a way that benefitseveryone involved.
The focus of session will be onMachine learning algorithms for data analysis, Natural language processing for sentiment analysis and text data miningPredictive analytics and forecasting using intelligent computing systems, Deep learning and neural networks for image and pattern recognition, Big data processing and analysis using cloud computing and distributedsystemsData visualization and interactive data exploration using intelligent computing systems, Blockchain technology for secure and decentralized data analysis, Ethics and bias in data analysis using intelligent computing systems, Real-time data analysis and decision-making using intelligent computing systems, Innovative applications of intelligent computing systems in specific fields, suchas healthcare, finance, and marketing.
Chair 1 : Prof. Anupam Baliyan, Chandigarh University, Mohali, Punjab India
Chair 2 : Dr. Abhishek Kumar, Chandigarh University, Mohali, Punjab India
The session focuses on the use of computational intelligence and soft computing techniques for real-time data analytics and machine learning in various domains such as finance, healthcare, and transportation. It can explore the use of soft computing techniques for real-time image and signal processing, which is essential for various applications such as medical diagnosis, surveillance, and communication systems. It highlights the application of computational intelligence and soft computing techniques for real-time control and automation in various domains such as manufacturing, energy, and robotics. The session covers the use of soft computing techniques for real-time decision making in complex systems, such as traffic control, emergency response, and supply chain management and focuses on recent advances and emerging trends in soft computing techniques for real-time systems, such as the use of deep learning, reinforcement learning, and swarm intelligence.
The focus of session will be on Fuzzy Logic-Based Real-Time Scheduling for Cyber-Physical Systems, Real-Time Machine Learning for Anomaly Detection in IoT Networks, Real-Time Sentiment Analysis Using Deep Learning for Social Media Monitoring, Intelligent Real-Time Traffic Control Using Swarm Intelligence, Real-Time Predictive Maintenance of Industrial Machines Using Soft Computing Techniques, Real-Time Brain-Computer Interfaces Using Neural Networks and Fuzzy Logic, Soft Computing-Based Real-Time Image and Video Processing for Autonomous Vehicles, Real-Time Soft Computing for Human-Robot Collaboration in Manufacturing, Real-Time Soft Computing for Smart Grid Management and Control, Security Issues in WSN, Cloud Computing and AI, Secure Software Defined Networking (SDN), Named Data Networking (NDN) Security, Secure Data Mining in IoT Applications, Security & Privacy in Machine Learning, Industrial Automation over Secure IoT, Smart and Secure Society in WSN, Information Security using Data Mining, Network Security using Machine Learning/Data Mining, Blockchain, Fog/ Edge Computing, Real-Time Soft Computing Techniques for Dynamic Resource Allocation in Cloud Computing
The proposed International Conference on Communication, Security and Artificial Intelligence (ICCSAI-2023) will be held at Galgotias University, Greater Noida to enable researchers build connections between different digital technologies and interdisciplinary research. The special sessions are invited to organize through the platform of ICCSAI-2023. The Special Sessions will be chaired by experts from different fields. The presentation of the papers under such Special Sessions will be scheduled at the venue of the conference, on any of the days during the conference. All presented and accepted papers will be eligible for submission to IEEE HQ for publication on IEEE XPLORE digital library.Extended version of selected papers will recommended for publication with associated Scopus.
Submissions should be original, previously unpublished work not currently under review by other publications. All submissions must be done electronically through a submission service of EasyChair.All Papers should contain 6 pages maximum, must be written in English and use standard IEEE two-column conference templates that can be downloaded from below link.
All PDFs to be included in IEEE Xplore (e.g. title page, copyright page, author index, etc.) should be validated through PDF eXpress for IEEE Xplore compatibility. The detailed instructions will be provided to the accepted authors accordingly. For further questions on paper submissions, please contact the Publications Chair.
Accepted papers must be presented at the conference by one of the authors. The author of an accepted paper is required to complete paid registration at full (member or non-member) rate for the conference prior to uploading the final IEEE formatted, publication-ready version of the paper. There is no refund for cancellation but substitutions may be made at any time prior to the event. Failure to complete paid speaker registration before the deadline will result in withdrawal of the paper from the conference program and the proceedings. Any paper not presented at the conference will be excluded from the conference proceedings.
Each submission will face double blind review process after submission. The papers submitted by the authors will be assessed on the basis of their technical suitability, scope of work, plagiarism, novelty, clarity, completeness, relevance, significance and research contribution. Extended version of the paper must be at least 30% revised for becoming eligible to publish with journals associated with conference.
* Extra page charge of ₹ 1000/- INR per page Indian author and $ 50 per page International author will be chargeable to the author’s during registration process.
|Bank Account Details|
|Name of Account||GU Conferences|
|Bank Name||Punjab National Bank|
|Branch||Punjab National Bank, Sector-63, Gautam Buddha Nagar, Noida-201301,UP|
|Last Date for Full Paper Submission||15thAugust, 2023|
|Notification of Acceptance||5thSeptember, 2023|
|Last Date for Registration and Camera Ready Paper Submission||15thSeptember, 2023|
|Conference Date||23rd - 25th November, 2023|
Shri Suneel Galgotia, Chancellor, Galgotias University, India
Shri Dhruv Galgotia,CEO, Galgotias University, India
Prof. (Dr). Mallikharjuna Babu Kayala,Vice Chancellor,Galgotias University, India
Prof. S. N. Singh, Director, IIITM, Gwalior, India
Prof. Avadhesh Kumar, Galgotias University, India
Prof. Pawan Kumar Singh Nain, Galgotias University, India
Prof. Asheesh Kumar Singh, MNNIT, Allahabad, India
Prof. Prashant Johri, Galgotias University, India
Prof. Satish Kumar Singh, IIIT, Allahabad, India
Prof. Rajesh Kumar Dhanaraj, Galgotias University, India
Prof. Nitin Gaur, Galgotias University, India
Prof. A. K. Jain, Galgotias University, India
Prof. VDS Baghela, Galgotias University, India
Prof. R. Swaminathan, Galgotias University, India
Prof. Aanjey Mani Tripathi, Galgotias University, India
Prof. Vipul Narayan, Galgotias University, India
Prof. Kuldeep Singh Kaswan, Galgotias University, India
Prof. Shailendra Pratap Singh, Galgotias University, India
Prof. T. Poongodi, Galgotias University, India
Prof. Sachin Minocha, G. L. Bajaj, Greater Noida, India
Prof. Vimal Kumar, Galgotias University, India
Prof. Deependra Rastogi, Galgotias University, India
Prof. Tarun Kumar, Galgotias University, India
Prof. Hradesh Kumar, Galgotias University, India
Prof. Vanita Garg, Galgotias University, India
Prof. Urvashi Sugandh, Galgotias University, India
Prof. Swati Sharma, Galgotias University, India
Prof. Kiran Singh, Galgotias University, India
Prof. Sanjeev Kumar Singh, Galgotias University, India
Prof. Mario Jose Divan, Sr. Solution Architect and Service Lead at Software Service Monetization NEX OCTO with Intel Corporation, Oregon, USA
Prof. Ali Wagdy Mohamed, Cairo University, Egypt
Prof. Amit Pandey, Bule Hora University, Ethopia
Prof. Santosh Kumar, University of Dar es Salaam, Tanzania
Prof. Jagjit Singh Dhatterwal, KL University, Guntur, Andhara Pradesh, India/p>
Prof. Deepak Soni, Galgotias University
Prof. Sunil Kumar Bharti, GCET, India
Prof. Namita Singh Malik, Galgotias University, India
Prof. Anupam Sharma, Galgotias University, India
Prof. Deepak L. Waikar, Singapore
Prof. Ajay Shankar Singh, Galgotias University, India
Prof. Ajay Shankar, Galgotias University, India
Prof. Kaushalendra Kumar Dubey, Galgotias University, India
Prof. Shrddha Sagar, Galgotias University, India
Prof. Ashok Kumar Yadav, Galgotias University, India
Prof. Sampath Kumar K, Galgotias University, India
Prof. Avneesh Kumar, Galgotias University, India
Prof. Sudeept Singh Yadav, Galgotias University, India
Prof. Sudeshna Chakraborty, Galgotias University, India
Prof. Anamika Panday, Galgotias University, India
Prof. Ghambir, Galgotias University, India
Prof. Satyendra Gupta, Galgotias University, India
Prof. Vinny Sharma, Galgotias University, India
Prof. Anachal Vij , Galgotias University, India
Prof. Vipin Rai, SCSE, Galgotias University, India
Prof. Alok Katiyar, Galgotias University, India
Prof. Raju Ranjan, Galgotias University, India
Prof. L. Vetrivindan, Galgotias University, India
Prof. Lalit Kumar, Galgotias University, India
Prof. T. Ganesh, Galgotias University, India
Prof. AR Pandey, Galgotias University, India
Prof. Rajiv Mishra, Galgotias University, India
Prof. Monalisa, Galgotias University, India
Prof. Achyut Shankar, University of Warwick, UK
Prof. Adrian Will,Director, National Technological University,Argentina
Prof. Afaq Ahmad, Sultan Qaboos University, Masqaţ, Oman
Prof. Ahmad T Al Taan, Yarmouk University, Jordan
Prof. Ahmed A. Elngar, Beni-Suef University,Egypt
Prof. Ahmer Khan,Dhofar University,Oman
Prof. Anand Nayyar,Duy Tan University, Da Nang, Viet Nam
Prof. Arijit Karati, National Sun Yat-Sen University (NSYSU), Kaohsiung, Taiwan
Prof. Deepti Thakur, College of Applied Sciences Suhar, Oman
Prof. G. K. Singh, Adama Science and Technology University, Ethiopia
Prof. Gert Kanter, Tallinn University of Technology, Estonia
Prof. Ghaida Muttashar Abdulsahib, University of Technology, Baghdad, Iraq
Prof. Gyanendra Kumar Singh, Adama Science & Technology University, Adama, Ethiopia
Prof. Jüri Vain, Tallinn University of Technology, Estonia, EU
Prof. M.S.Saleem Basha,Mazoon University College , Muscat, Oman
Prof. Mahmoud Moh’d Mahmoud Al Shawabkeh, Guangxi Minzu Normal University, Jordan
Prof. Marcelo Martin Marciszack, National Technological University, Argentina
Prof. Masood Alam, Department of Math and Computing, CPS, Sultan Qaboosb University,Muscat, Oman
Prof. Masoud Mohammadian, University of Canberra,Australia
Prof. Md Atiqur Rahman Ahad, University of East London, UK
Prof. Mohammad Nurul Alam, Lincoln Universiy, Malaysia
Prof. Mohd. Zalisham Jali, Faculty of Science & Technology,Universiti Sains Islam Malaysia,Negeri Sembilan, Malaysia
Prof. Mussab Z. Aswad, De Montfort University, Oman
Prof. Nestor Barraza, Universidad Nacional De Tres De Febrero, Argentina
Prof. Osamah Ibrahim Khalaf, Profesor,Al-Nahrain University,College of Information Engineering, Baghdad, Iraq
Prof. Pascal Lorenz, University of Haute-Alsace, France
Prof. Rabiul Islam, University of Wollongong, Australia
Prof. Rajander Sharma, College Of Applied Sciences Suhar,Oman
Prof. S. B. Goyal, City University, Malaysia
Prof. Selwyn Piramuthu, University of Florida, Department of Information Systems and Operations Management, USA
Prof. Shakeel Ahmed,King Faisal University, Kingdom of Saudi Arabia
Prof. Siti Nuurul Huda Binti Mohammad Azmin, Universiti Malaysia,
Prof. Sugam Sharma, Lowa State University, USA
Prof. Sunil K Khatri, Amity University, Noida
Prof. Syed Hamid Hasan, King Abdulaziz University, Kingdom of Saudi Arabi
Prof. Umar Muhammad Modibbo, Adama University Yola-Nigeria
Prof. Victor C.M. Leung, The University of British Columbia
Prof. Xiao Zhi Gao, University of Eastern Finland, Finland
Prof. Yu-Chen Hu, Providence University, Taiwan
Prof. Adarsh Anand, University Of Delhi, Delhi, India
Prof. Anil Sagar, Sharda University, Greater Noida, India
Prof. Anoop Kumar Patel, NIT Kurukshetra, India
Prof. Anurag Dixit, Rayat Bahar University, India
Prof. Arun Agarwal, University of Delhi, Delhi, India
Prof. Arun Sharma, Indira Gandhi Delhi Technical University for Women (IGDTUW), Delhi
Prof. B. K. Sharma, AKG, Ghaziabad, India
Prof. Brijesh Kumar, University School Of Information & Communication Technology, GGS Indraprastha University, Delhi, India
Prof. Chitra Desai, NDA, Khadakwasla, Pune, India
Prof. D. N. Goswami, Jiwaji University, India
Prof. Dilip Kumar Sharma, GLA Mathura, Mathura, India
Prof. Durgesh K Mishra, Sri Aurobindo Institute of Technology, Indore, MP, India
Prof. K Muralidharan, MS University of Baroda, Vadodara, India
Prof. K.Jaggi , University Of Delhi, Delhi, India
Prof. M. N. Hoda, Bharati Vidyapeeth’s Institute of Computer Applications & Management (BVICAM), New Delhi, India
Prof. Naveen Rajpal, GGSIP University, New Delhi, India
Prof. Ompal, University Of Delhi, Delhi, India
Prof. P. Mohamed Fathimal, Department of Computer Science and Engineering, Vadapalani Campus, SRM Institute of Science and Technology, Vadapalani, Chennai
Prof. P.S. Grover, KIIT Group of Colleges, Gurgaon, India
Prof. Parmanand Astya, Sharda University, Greater Noida, India
Prof. Partha Pratim Sarkar, University of Kalyani, West Bengal, India
Prof. Prashant Singh, JSS, India
Prof. R P Ojha, G. L. Bajaj, Greater Noida, India
Prof. Rajesh Kumar, Thapar Institute of Engineering & Technology, Patiala, Punjab, India
Prof. S. Gavaskar, Bharityar University, India
Prof. Sanjoy Das, IGNTU, Manipur, India
Prof. Sudhir Kumar Sharma, JNU, Jaipur, India
Prof. Tanupriya Choudhury, UPES University, Dehradun, India
Prof. V Srivastava, IIT Kanpur, Kanpur, India
Prof. Vishal Bhatnagar, Netaji Subhas University of Technology (East Campus), New Delhi, India
Prof. Vishnu Sharma, GCET, Greater Noida, India
Prof. Alok Katiyar, SCSE, Galgotias University, India
Prof. Amba Mishra, NIET, Greater Noida, India
Prof. Aradhna saini, NIET, Greater Noida, India
Prof. Arvind kumar, SCSE, Galgotias University, India
Prof. Chandru Vignesh, VIT University, Vellore, India
Prof. Divya Sharma, NIET, Greater Noida, India
Prof. Garima Nahar, Deptartment of Computer Science, S. S. Jain Subodh P.G. Mahila Mahavidyalaya, Rambagh Circle, Jaipur, India
Prof. Garima Shukla, NIET, Greater Noida, India
Prof. Gaurav Dhuria, NIET, Greater Noida, India
Prof. J. Ramprasath, Dr.Mahalingam College of engineering and technology, Pollachi, Coimbatore, India
Prof. Jagvinder Singh, Department of Operational Research, University of Delhi, Delhi, India
Prof. Janarthan S, SCSE, Galgotias University, India
Prof. Jaswinder Singh, Maharaja Ranjit Singh Punjab Technical University, Punjab, India
Prof. Kamal Gulati, Amity University, Noida, India
Prof. Kavita, SCSE, Galgotias University, India
Prof. Kiran Singh, SCSE, Galgotias University, India
Prof. Kushal Kanwar, JUIT Solan, HP, India
Prof. Mayank Kumar Goyal, Sharda University, Greater Noida, India
Prof. Mohd. Izhar, Bosco Technical Training Society, Don Bosco Technical School, Okhla Road, New Delhi, Inida
Prof. N.Krishnaraj, Vellore Institute of Technology, Vellore, India
Prof. P. Sampath, SCSE, Galgotias University, India
Prof. Pankaj Dadheech,Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan (SKIT), Jaipur, Rajasthan, India
Prof. Prabha Nair, NIET, Greater Noida
Prof. Praveen Shukla, Manipal University, Jaipur, India
Prof. Priyanka Tyagi, IMS, Ghaziabad, India
Prof. Puneet Gupta, Manipal University, Jaipur
Prof. R. Karthick, Department of CSE, Sri Krishna College of Technology, Coimbatore, India
Prof. R.Sathiyaraj, Department of CSE, School of Engineering and Technology, CMR University, Bangalore, India
Prof. Rajit Nair, VIT, Bhopal University, Bhopal, India
Prof. Ramkumar KR, Chitkara University, Punjab, India
Prof. Rashmi Aggarwal, MREI, Faridabad, India
Prof. Rashmi Priyadarshini, Sharda University, Greater Noida, India
Prof. Ritu Dewan, GCET, Greater Noida, India
Prof. Rohit Bansal, Department of Management Studies, Vaish College of Engineering, Rohtak, India
Prof. Rohit Bansal, Vaish College of Engineering, India
Prof. Sandhaya Katiyar, GCET, Greater Noida, India
Prof. Satnam Kaur, Thapar University, Patiala, Punjab
Prof. Shalu Tandon, Bosco Technical Training Society, Don Bosco Technical School, Okhla Road, New Delhi, India
Prof. Shivani Goel, Bennett University, India
Prof. Shobha Tyagi, Manav Rachna International Institute of Research Studies, Faridabad, India
Prof. Siddhartha Sankar Biswas, Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi
Prof. Sikhvir Kaur, Lovely Professional University, Punjab, India
Prof. Sofia Pillai, NIET, Greater Noida, India
Prof. SPS Chauhan, SCSE, Galgotias University, India
Prof. Sridhar, VIT University, Vellore, India
Prof. Subrata Sahana, Sharda University, Greater Noida, India
Prof. Sudeshna Chkraborty, SCSE, Galgotias University, India
Prof. Supriya Khaitan, SCSE, Galgotias University, India
Prof. T Ganesh Kumar, SCSE, Galgotias University, India
Prof. T. Rajeshkumar, Department of IT, Sri Krishna College of Technology, Coimbatore, India
Prof. Tapsi Nagpal, Lingayas University, Inida
Prof. Usha Chauhan, Galgotias University, India
Prof. Vandana Sharma, Amity Institute of Information Technology, Amity University, India
Prof. Varun Tiwari, Bosco Technical Training Society, Don Bosco Technical School, Okhla Road, New Delhi, India
Prof. Varuna Gupta, CHRIST (Deemed to be University), Delhi NCR, India
Prof. Vinny Sharma, Galgotias University, India
Organizing Committee, ICCSAI-2023, Galgotias University
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