Galgotias University, Noida, UP, India

Paper Submission

31 December, 2022 (Extended 26 January, 2023)

Author's Registration

10 January, 2023 (Extended 05 February , 2023)

Conference Date

February 24-25, 2023

About the Event

ICABCS-2023 is a non-profit conference and the objective is to provide a platform for academicians, researchers, scholars and students from various institutions, universities and industries in India and abroad, to exchange their research and innovative ideas in the field of Artificial Intelligence, Blockchain, Computing and Security. We invite all students, research scholars, academicians, engineers, scientist and industrialist working in the field of Artificial Intelligence, Blockchain, Computing and Security from all over the world. We warmly welcome all the authors to submit their research in upcoming conference ICABCS-2023 to share their knowledge and experience among each other. All the accepted and presented papers in this conference will be published by Taylor and Frances group (SCOPUS index) Proceedings.

Research Atmosphere

we have approx.. 700 faculties in our university out of which 200 faculties have PhD degree from IITs, NITs, central Universities and other government universities and rest have master’s degree. More than 7000+ Publications in reputed conferences and journals, 200+ Patents has been published by our faculty and many in pipeline.

About Galgotias University

The Galgotias University, Uttar Pradesh, sponsored by Smt. Shakuntala Educational and Welfare Society, has been established by state of Uttar Pradesh under section 2(f) of the UGC Act, 1956 vide The Galgotias University Uttar Pradesh Act, 14 of 2011. The University commenced its operation from the academic session 2011-12.

Galgotias University opened its door to the first batch of approximately 1,700 undergraduate and post-graduate students in July of 2011. Now in year 2021, the university has grown to more than 13000 students. Galgotias University aspires to be and is on a fast-track to become an internationally recognized university that excels in multidisciplinary and interdisciplinary education, research and innovation, educating globally competitive graduates with potential to become leaders in their fields of endeavour. The graduates will have deep knowledge within their fields but will also excel in problem solving skills, will be aware of the societal context of their chosen profession, will function effectively in teams, will have good communications skills and above all, be life-long learners.

The 'students-first' philosophy is a big reason why Galgotias University is consistently ranked among India's top universities. The focus of Galgotias University is on low student-to-faculty ratio that promotes plenty of personal attention and mentoring opportunities.

The record-breaking placement at Galgotias this year is an apt testimony to its focus on upholding the highest academic standards right from selecting top faculty, introducing world-class pedagogical practices to personality development of the students. We have 13 schools with 49 UG programs 40 PG programs and 21 PhD programs. We have approvals from various Councils [Pharmacy: Pharmacy Council of India (PCI); Law: Bar Council of India (BCI); Nursing: Indian Nursing Council (INC); Architecture: Council of Architecture (COA); Education: National Council for Teacher Education (NCTE); Hotel Management: Norms of National Council for Hotel Management (NCHM)].

This year, Galgotias University by virtue of its meticulous planning and through religious and relentless efforts have been listed in 151-200 top universities of India, 177th in Engineering Category, in the band of 76-100 for Pharmacy and Management in NIRF INDIA RANKINGS 2021 as declared by MHRD. The accreditation of Three undergraduate programs has been granted by National Board of Accreditation (NBA) under Tier (I). Galgotias University is youngest in the country to get such accreditations by NBA More than 7000 Publications, 200+ Patents Published and many in pipeline. With around 800 plus faculty members, 3 Academic Blocks having Construction Area of 64,879 sq mt, the university also have in campus five-star Boys Hostel accommodating around 1400 students and off-campus girls’ hostel to accommodate 200 plus girls.

About SCSE

The mission of School of Computing Science and Engineering (SCSE) is to try obstinately for accomplishing distinction in computing disciplines. It is being pursued through its gamut of academic programmes in computing of contemporary standards. The main objective is to make computing graduates with capability to design and develop systems involving the integration of software and hardware devices through innovative approaches to programming and solving problems of an organization.

SCSE is committed to academic excellence, with special focus on teaching-learning process, research and holistic development through our Fully Flexible Credit Based System (FFCBS). We inculcate multi-disciplinary and inter-disciplinary competence and leadership skills in our students. SCSE aims to equip the students with the ability and skills to analyze, design and develop computer systems and their applications, with a curriculum that has a balanced emphasis on theory, practical’s and projects. The focus will be on development and strengthening systems thinking, problem solving, analysis, design, research, team work, communication skills, and readiness for lifelong learning in areas of Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Cyber Security, Internet of Things. The courses run by the Department will use mixed techniques of interactive lectures, tutorials, laboratory work, guided case studies, literature surveys and project work that require team work, critical and creative thinking. Creativity flourishes in an atmosphere that is free, friendly and above all, democratic and participatory in nature. Every course is designed, delivered and monitored in a manner that will add a significant value to a student. We equally emphasize on the development of core human values, mental well-being and physical well-being of our students.

SCSE has two departments, Department of Computer Science and Engineering and Department of Computer Applications and Information Science with a team of more than 6000 students and 180 core faculty members with rich experience in research, industry and academics as well as many visiting professors, distinguished professionals from industry, eminent researchers and teaching/ research assistants. These team members are handpicked from reputed institutions on the basis of their expertise in the different domains of Computing Science and Engineering.

The school offers UG (B.Tech [CSE], B.Tech [CSE+ Specializations], BCA), PG (MCA, MTech (CSE), MTech [AI & ML]) and research programs in Computer Science and Engineering. The curricula offered are contemporary and updated regularly. The B. Tech. (CSE+ Specialization) offered by the school is an attempt to keep pace with the fast-changing computing technology and to satisfy the requirements of the industry. The SCSE takes initiative to bring together the latest software applications, real-world industry experiences, hands-on lab course, the best project- based teaching & learning practices along with case studies all into a single unique educational program.

The responsibilities of Academic Programs in the school are shared among Academic program Chairs (PC) of respective domains and faculty teams with different areas of expertise. Each academic program is led by a program chair. The program chair is assisted by members of the academic program committee. The program chair and members of the academic program committee administer the delivery of the academic program and its development.

Currently there are six Research Groups in the school: Computer Networks, Data Science and AI, Cyber Security & Privacy, computer Graphics and Digital Image Processing, Cloud Computing and Distributed Systems and Emerging technologies. Each Research Group consists of a small team of 8-12 competent faculty led by a Research Group Chair. The Research Group Chair and members are responsible for the administration of the and the technical development of the Research Group and its members.

With an objective to sculpt a unique position for itself in the academic community, SCSE strives to:

  • Become a pioneering world-class Centre of Excellence in computing education and research through collaborative, consultative and participatory approaches
  • Provide cost-effective Information and Communication Technology (ICT)-based solutions and value-added services to a variety of organizations and to meet the expectations of stakeholders
  • Nurture effective capabilities for the development of high quality technical and scientific manpower to meet the challenges of the contemporary knowledge-based economy and industry 4.0

Today we are all witnessing the impact of globalization and liberalization with the technological transformation having impacted all our lives. The present era has many challenges and academic institution must address these challenges. At school level we are constantly taking efforts to ensure that our students will showcase their academic talent with high moral values and being Engineers they will contribute and for sure will keep Social Commitment. We want our students to be committed, dedicated to their goals along with integrity and concern for the environment and rural society they live in.


All the papers accepted and presented will be published by Taylor and Frances group (SCOPUS Indexed) Proceedings. GU      

Conference Co-Partner

Samarkand State University University Boulevard, 15 Samarkand 140104, Uzbekistan GU      

Call for Special Session

International Conference on Artificial Intelligence, Blockchain, Computing and Security (ICABCS 2023) Organizing Committee invites proposals for Special Session. Special sessions complement the regular technical program by emphasising new and emerging research areas or innovative applications of established approaches. A special session idea needs to be current and interesting.

We welcome special sessions in all related fields, although we are especially interested in specialised research areas, particularly those connected to the conference’s innovative themes.

Industry personals are welcome to participate in a special session proposal and will be given positive consideration when the proposal is evaluated.

Conditions / Instructions for Proposal Submission

1. The proposed special session should give an overview of the state-of-the-art highlighting important research directions in the domain/areas of special interest to ICABCS 2023 participants.

2. Each organized session should have a minimum of 10 papers that will not be subject to the regular review cycle, the session organizers have full authority in soliciting and accepting papers for the session.

3. Special Session submission link will be created in submission link of the conference. For paper submission this process will be followed. https://cmt3.research.microsoft.com/ICABCS2023/Submission/Index , go to create new submission, then select your special session name in the track.

4. Each accepted session after the fulfilment of Point no. 2, shall present a summary report to ICABCS 2023, including the plagiarism report of every accepted manuscript.

5. There should be at least one session organizer and one session chair of special session.

6. The details of both the organizer and chair should be given in the proposal.

Kindly submit your proposal to the conference chair at icabcs2023@gmail.com

Download call for
Special Session

Call for Papers

Authors are invited to contribute to the upcoming conference that illustrate the latest research work, Research Projects, Surveying work, and the industrial work that explain the significance of your work.
Papers submitted to ICABCS-2023 will undergo a double-blind review process. All papers that are accepted and presented in ICABCS-2023 will be published in the ICABCS-2023 Conference Proceedings by Taylor and Frances.
It will be published in SCOPUS index Proceedings
Topics of interest for submission are mentioned below, but are not limited to:

Intelligent systems
Artificial Intelligence
Machine Learning
Machine Learning Applications
Learning Problems and issues
Deep Learning
AI for Machine Learning
Blockchain and machine Learning
Electronics and Signal processing for Computing
Energy Efficiency and Sustainability in High performance Computing
High performance Computing
High performance Computing Applications and Industry 4.0
Machine Learning in Communication Technologies
High performance Computing and Cloud Architectures
Machine Learning based Innovation and Entrepreneurship
Robotic Systems
Security and Privacy in ML
Self-adaptation for High performance Computing Systems
Software Engineering for High performance Computing
Web of Things
Blockchain based security for the IoT
Blockchain, Bigdata and IOT advances
Blockchain New Design
Blockchain Privacy
Block Chain issues and trends
Blockchain Attacks on Existing Systems
Blockchain Consensus Algorithms
Blockchain Foundations
Blockchain Scalability
High Performance Computing
Cluster Computing
Grid Computing
Cloud and Green Computing
Data Mining
Advance Database Management System
Smart Grid technologies
Data Communication
Communication Technologies
Fuzzy logic
Cyber security
Network Security
Wireless Sensor Networks (WSN)
Computing Architectures and Systems
Human Computer Interface
Security Mechanism in Machine Learning
Security in Block chain
Security architecture in ML and Block Chain
Security in High Performance Computing

Name of Session Organizer: Dr. Anurag Vijay Agrawal, Program Manager, E&ICT Academy, IIT Roorkee, Roorkee (Uttarakhand).

Name of Session Chair: Dr. Pragya Singh, Assistant Professor, Department of Management Studies, IIIT Allahabad, Devghat, Jhalwa, Allahabad (U.P.).

Title of Session:

Recent Advances and Future Technologies in IoT, Blockchain and 5G.

Brief Description of the Session:

The evolution of communication networks caters to the increasing need for improved performance, connectivity, security, portability, efficiency, and interoperability. 5G technology will also enable new services and products powered by IoT. IoT has increasingly facilitated human life through various smart 5G applications in cities, grids, healthcare, and finance. These applications have issues related to scalability, sustainability, security, privacy, and trustworthiness. It is a myth that Blockchain applications are only associated with bitcoin and cryptocurrencies. Today Blockchain solutions are gaining popularity for cloud computing, cyber security, and the metaverse. Blockchain’s combination with 5G and IoT provides sustainable and practical solutions concerning concrete application domains, scalability, privacy issues, performance, and potential financial benefits. This Special Session aims to feature enlightening research works on the convergence of IoT, blockchain, and 5G technologies and to inform researchers worldwide about the latest developments in this significant direction.

Contact No: 7897386365, 9412528151 Email id:pragyabhardwaj@iiita.ac.in, aagrawal3@ec.iitr.ac.in

Name of Session Organizer: Dr. Pawan Singh,
(Associate Professor)
Dr. Bramha Hazela,
(Assistant Professor, G-III)
Dr. Shikha Singh,
(Assistant Professor, G-II),
Ms. Garima Srivastava,
(Assistant Professor, G-II)

Affiliation: Department of Computer Sciences and Engineering, Amity School of Engineering Technology, Amity University (U.P), Lucknow Campus.

Title of Session:

Recent Advancements and challenges in Artificial Intelligence, Machine Learning, Cyber security and Blockchain Technologies

Brief Description of the Session:

This session will seek papers of these disruptive technologies and would tend to explore how AI is used in blockchain, its advantages and how blockchain can benefit AI.

Contact No: 07355749858, 09839123463, 07007118255, 08081856377
Email Id: psingh10@lko.amity.edu, bhazela@lko.amity.edu, ssingh8@lko.amity.edu, gsrivastava1@lko.amity.edu

Name of Session Organizer: Dr. Bipin Kumar Rai (ABESIT, UP, India),
Dr. Gautam Kumar (CMREC, Hyderabad, India),
Dr. Jabar H. Yousif(Sohar ,Oman)

Title of Session:

Application of state-of-the-art blockchain and AI research in healthcare, supply chain, e-governance etc.

Brief Description of the Session:

In recent years, blockchain technology has become very trendy and penetrated different domains, mostly due to the popularity of cryptocurrencies. In this session, application of state-of-the-art blockchain and AI research in healthcare, supply chain, e-governance etc will be considered. Healthcare service is increasingly creating the scope for Blockchain and AI, machine learning (ML) applications to enter the biomedical and healthcare world. Today, Blockchain, AI, ML, and deep learning are affecting every imaginable domain, and healthcare, too, doesn’t remain untouched. Through its cutting-edge applications, AI and ML are helping transform the healthcare industry for the better. Blockchain is a decentralization communication platform that has the potential to decentralize the way we store data and manage information. Blockchain technology has potential to reduce role of middleman, one of the most important regulatory actors in our society. Transactions are simultaneously secure and trustworthy due to the use of cryptographic principles.

Contact No: +91 9454285149
Email Id: bipinkrai@gmail.com & bipin.rai@abesit.in

Name of Session Organizer: Dr. Nagresh Kumar, R.D. Engineering College, Ghaziabad, Uttar Pradesh, India
Prof. Mohd. Vakil, R.D. Engineering College, Ghaziabad, Uttar Pradesh, India,

Title of Session:

Cloud Computing architecture and adoption for agile system and devOps

Brief Description of the Session:

In today's world of information technology, cloud computing emerges as a new computing paradigm due to its economic and operational benefits. It provides infrastructure, platform, and software as an amenity to users for the technological computations through the internet. This special issue will aim to discuss virtualization, privacy, security resource provisioning, Load balancing, elasticity, auto scaling, scheduling etc. with cloud infrastructure. This issue will also discuss the incorporated services in cloud computing environment for devops and agile system for software development and delivery.

Contact No: +91 9410685839
Email Id: nagresh@gmail.com

Name of Session Organizer: Dr. Jitendra Kumar Seth and Mr. Ruchin Gupta

Title of Session:

Trends in Cloud Computing and Big data Analytics

Brief Description of the Session:

Big data and cloud computing are essential to business. Because they help the business grow and become more productive, they are the centre of attention. Cloud computing is a method that provides virtual services. These reliable and secure services may be accessed with the help of the internet. Small businesses gain a lot from it because it affordably provides storage space and efficiently uses their data for research. Cutting-edge technology, nevertheless, may be accessed by simply paying for the time and resources used in cloud computing. Cloud apps are developed with the help of big data as well. Without big data, there would be considerably fewer cloud-based applications because there would be no real need for them. Big data is routinely acquired via cloud-based services. Papers on big data, cloud computing, and related topics are invited.

Contact No: 8851801392, 8802714026
Email Id: drjkseth@gmail.com, skg11in@yahoo.co.in

Name of Session Organizer: Dr. Dharmendra Kumar

Title of Session:

Electronics and scientific computing to solve real-world problems.

Brief Description of the Session:

This session would concentrate on innovative solutions for real-world issues that can be explored in the fields of scientific computing and electronic engineering. This session covers works in the fields of scientific computing, machine learning, electronic engineering, and other computational methodologies being used solve challenges that arise in the everyday chores of daily human life. These concerns include challenges with agriculture and plantations, bioinformatics, health informatics, entertainment industries, security systems, and complex systems. In addition, works from different fields that have the potential to influence and improve the everyday lives of individuals are taken into consideration during this session. It is strongly encouraged that members of the research community submit their original works in any field, including but not limited to the internet of things, industrial internet of things, mathematical models of real-world problems, embedded programming, statistical and probabilistic methods, computer vision, and other technologies related to this field. The research community will get benefit from these contributions by gaining a deeper understanding of the research.

Contact No: +91-87565 99979
Email Id: dkece@mmmut.ac.in

Name of Session Organizer: Dr. Nagendra Pratap Singh, NIT Hamirpur

Title of Session:

AI-Driven approaches for enhanced medical image analysis

Brief Description of the Session:

This session is a discussion of innovative techniques from the field of artificial intelligence that is now being used in the analysis of medical images. Several studies have been carried out in the field of medical image analysis; nevertheless, there is a significant barrier preventing these works from being employed in the actual world. The primary reason for this is that the statistical and probabilistic procedures that are utilized for the study are not tested for a scenario in which there would be data that has not yet been observed. There is also no visualization of the learning that is generated in these algorithms from the multi-modal data that is readily available, which is another reason. This special session invites works in the fields of machine learning, deep learning, evolutionary computation, and bio-inspired algorithms with the intention of improving the ability of medical imaging systems to analyze data and make decisions. These works will be beneficial to the research community as well as the stakeholders in medical informatics, and they will most likely have a great positive impact on the systems that exist in the real world.

Contact No: +91-7007907254
Email Id: nps@nith.ac.in

Name of Session Organizer: Prof. Naren.J., Assistant Professor, School of CS and IT, JAIN (Deemed-to-be University), Bangalore, India.
Dr.Suchitra.R.Nair, Professor and Head, School of CS and IT, JAIN (Deemed-to-be University), Bangalore, India.

Title of Session:

Security and Privacy in the Cloud

Brief Description of the Session:

Security and Privacy has been a buzzword in the field of Cloud Compuitng in general. The Special Session on Security and Privacy in the Cloud using Machine Learning Applications will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Cloud computing, Security and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud Computing, Security and Machine Learning Recent advances in computing and information technologies such as IoT, mobile Edge/Cloud computing, cyber- physical-social systems, Artificial Intelligence/Machine Learning/ Deep Learning, etc., have paved way for creating next generation smart and intelligent systems and applications that can have transformative impact in our society while accelerating rapid scientific discoveries and innovations. Such newer technologies and paradigms are getting increasingly embedded in the computing platforms and networked information systems/infrastructures that form the digital foundation for our personal, organizational and social processes and activities. It is increasingly becoming critical that the trust, privacy and security issues in such digital environments are holistically addressed to ensure the safety and well-being of individuals as well as our society

Contact No: 9087022074
Email Id: naren.j@jainuniversity.ac.in

Name of Session Organizer: Dr. Shachi Mall & Dr. Deepak Srivastava

Title of Session:

Deep Learning and Machine Learning

Brief Description of the Session:

Deep Learning and Machine Learning is a method of making a computer, a computer-controlled robot, or a software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems. To achieve these ends, the AI needs to possess these qualities:
• Natural Language Processing to communicate successfully.
• Knowledge Representation to act as its memory.
• Automated Reasoning to use the stored information to answer questions and draw new conclusions.
• Machine Learning to detect patterns and adapt to new circumstances.
• Introspection: observing our thoughts, and building a model based on that Psychological Experiments: conducting experiments on humans and observing their behavior
• Brain Imaging: Using MRI to observe how the brain functions in different scenarios and replicating that through code.

Contact No: 9984601301 & 9936718635
Email Id: shachimall@gmail.com & deepak.srivastava75@gmail.com

Name of Session Organizer: Dr.Abhineet Anand
Department of Computer Science, Chandigarh University, Punjab,India Dr. Srikanta Kumar Mohapatra
Chitkara University Institute of Engineering &Technology, Chitkara University, Punjab, India

Title of Session:

Trends in Cloud Computing and Big data Analytics

Brief Description of the Session:

In the current era, recent developments in the fields of intelligent computing using different emerging applications like AI, ML, DL, Blockchain, IoT, Cloud, etc and communication have paved the way for the handling of current and upcoming problems and brought about significant technological advancements. This special Session is aiming to gather information from scientists, engineers, and researchers with interest in research and application to solve the problematic statements in advanced sectors. As we know the population is increasing day to day and the problem in different sectors also increasing in rapid manner like health issues and the agriculture is going beyond our control. So, the solution can be achieved, if the problem and solution can be found in its initial stage. In each and every field now researchers are developing new technologies to get the optimal solution with different roadmaps. Also unmanned systems are amalgam of IoT and soft computing techniques

Contact No: 8126302065, 7008939229
Email Id:abhineet.mnnit@gmail.com, srikanta.2k7@gmail.com

Name of Session Organizer: 1. Dr. P. Mohamed Fathimal, Lecturer, Government Polytechnic College,RK Nagar,Chennai,
2. Dr. J. Arunnehru, Assistant Professor, SRM Institute of Science and Technology, Vadapalani Campus, Chennai.
3. Dr. T. Ganesh Kumar, Associate Professor, School of Computing Science and Engineering, Galgotias University, Delhi NCR

Title of Session:

Sharing multimedia data using deep learning approaches

Brief Description of the Session:

The traditional model-based and conventional machine learning approaches are being overruled by many advanced techniques in Convolution neural networks (CNNs) and Deep Learning (DL) which are a new boost in recent years. The purpose of this Special Issue is to provide a forum for research examining the benefits and drawbacks of DL-based solutions for sharing multimedia data. The main topics of interest are as follows:
• Generative models in Deep Learning
• DL Approaches for Data classification
• DL Techniques for multimedia forensics and counter-forensics
• DL Technique for Biometrics and authentication
• DL for watermarking and information hiding
• DL for steganography and steganalysis
• DL for Secret Image sharing
• DL for Secret Video Sharing

Contact No: 9943897935, 9629427700, 9442758945
Email Id:fatnazir@gmail.com, arunnehru.aucse@gmail.com, tganeshphd@yahoo.com

Name of Session Organizer:
1. Dr. J. JAGANNATHAN, Associate Professor, Department of Computer Science and Engineering, VelTech University, Chennai
2. Dr. Raju Hajare, Dean Engineering, Galgotias University, Delhi NCR

Title of Session:

Deep Learning, AI and IOT for Computer Vision and BlockChain

Brief Description of the Session:

The technologies that allow computers to analyze images are referred to as computer vision. This makes it possible for models to analyze picture and video collections and then use their analysis for tasks like prediction or decision-making. A lot of development has also occurred in more conventional application areas like multimedia, robotics, and medical imaging. The Internet of Things, augmented reality, autonomous driving, human-computer interaction, and vision for the blind are just a few of the new application fields that are emerging. In non-traditional industries like astronomy, nanotechnology, and cutting-edge brain imaging techniques, computer vision is being employed more and more. Computer vision has the potential to significantly improve the healthcare sector. There are several ways to mix the technologies of blockchain, IoT, and AI. Since the fusion of these technologies will improve business models, goods, and services, the convergence of these advances will occur. These commercial models could be broadly used for any autonomous agents, including sensors, vehicles, equipment, trucks, cameras, and other Internet of Things (IoT) devices. These agents could act as independent economic agents, sending and receiving money on their own, and using AI and data analytics to make judgments. Such business model development and industrial organizations’ digital transformation will be driven by convergence. To achieve enormous efficiency advantages, researchers should work with these technologies. For diverse computer vision and blockchain applications, this Special Session intends to deliver a collection of publications that highlight the development of machine learning/deep learning, blockchains, IOT, and sensing technologies.

Contact No: +91-8220230813
Email Id:jagannathan161091@gmail.com

Name of Session Organizer:
1.Dr. Shabir Ali, Associate Professor and Head, CSBS Bharati Vidyapeeth (D.U.), Department of Engineering and Technology, Navi Mumbai
2. Prof. Rahul Papalkar, Assistant Professor and Head CSE AIML, Bharati Vidyapeeth (D.U.), Department of Engineering and Technology, Navi Mumbai
Prof. Vinod Rathod, Assistant Professor and Head CSE , Bharati Vidyapeeth (D.U.), Department of Engineering and Technology, Navi Mumbai

Title of Session:

Federated Computing

Brief Description of the Session:

Computing is based on the coordinated use of computer devices (hardware) and program (software) that run them. The computing devices may vary from small IoT device to high end servers (HPC). These devices may be connected through wired or wireless networks, and they require special attention to coordinate, connect, offloading and downloading to create an unified distributed computing. One of the important aspects of leveraging the benefit of computing devices is the management and programmability of the ingested traffic. Nowadays, the software-defined network is the key to enable the unified distributed computing network. The distributed computing requires a decision making to offload the compute to connected devices. These decisions may find the solutions based on the AI, machine learning and Deep learning techniques.
This special session will accept the paper from the following domain.
1. Computing over Wired network
2. Computing over Wireless networks
3. Software-defined Network
4. High performance computing
5. Federated computing
6. Fog/edge computing
7. AI and Machine Learning based computing
8. Internet-of-things/Internet-of-everything federated computing

Contact No: +918958234055, +919665784322, +91 8425888392
Email Id:Sali@bvucoep.edu.in, rrpapalkar@bvucoep.edu.in, Vinod.rathod@bvucoep.edu.in

Name of Session Organizer:
1.Dr. Amit Vajpayee

Title of Session:

Buzz the world Recent Trends in Data Analytics

Brief Description of the Session:

This will provide a platform for sharing knowledge and results in theory, methodology and applications of Machine Learning, IOT , Data Analytics Authors are solicited to contribute by submitting articles that illustrate research results, projects, surveying works and industrial experience that describe significant advances in the areas of Machine Learning, Internet of Things and Data Analytics.

Contact No: +91-9893754842
Email Id:er.amitvajpayee@ gmail.com

Name of Session Organizer:
• Dr. Durgesh Srivastava, Associate Professor, Department of Computer Science and Engineering, Chitkara University Institute Of Engineering & Technology, Chitkara University, Rajpura, Punjab, India,
• Dr. Rupali Gill, Associate Professor, Department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India,
• Dr Praveen Kantha, Assistant Professor, Department of Computer Science and Engineering, Chitkara University, Baddi, HP India

Title of Session:

Recent Trends in Artificial Intelligence, Machine Learning and IoT for Healthcare

Brief Description of the Session:

International Conference ICABCS-2023 aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of Recent Trends in Artificial Intelligence, Machine Learning and IoT for Healthcare. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Artificial Intelligence, Machine Learning and IoT for Healthcare.

Contact No: +91-9996745993
Email Id:drdkumar.ptu@gmail.com

Name of Session Organizer:
1. Dr. Anitha Julian, Professor, Saveetha Engineering College, Chennai
2. Dr. R. Ramyadevi, Associate Professor, Saveetha Engineering College, Chennai
3. Dr T Ganesh Kumar, Associate Professor, Galgotias University, Delhi NCR
4. Dr Priti Rishi, SRM University, Vadapalani Campus, Chennai

Title of Session:

Recent Advances and Application Driven Machine Learning and Deep Learning Techniques

Brief Description of the Session:

Machine learning is the most exciting tool and technique that humankind has ventured in the recent years. The statistical collection of methods is capable of considerably speeding up fundamental and applied research. There is an explosion of works that apply machine learning and deep learning techniques in almost every walk of life. This session aims at exhibiting a comprehensive overview and analysis of the recent research in machine learning and deep learning algorithms.

Contact No: and Email id • cse.anithajulian@gmail.com, 9840031459
• ramyakathir@gmail.com , 9629280373
• tganeshphd@yahoo.com, 9442758945

Information for the special session (Samarkand State University). Name of Session Chair (s): Prof.Dr.Akmal Ahatov, Vice-Rector, International relations
Prof.Dr. Hakim Hushvaktov, Vice-Rector, Research and innovations
Name of Session Members: Dr.PhD. Nazarov Fayzullo. Head of the Department of Artificial Intelligence and Information Systems.
Dr.PhD. Yusupov Ozod. Head of the Department of Software Engineering.
Rashidov Akbar. Teacher of the Department of Artificial Intelligence and Information Systems.
Abdiyeva Khabiba. Teacher of the Department of Software Engineering.

Title of Session:

Solutions for application of Machine learning and Blockchain technologies.

Brief Description of the Session:

This session will analyze solutions using Artificial Intelligence and Blockchain technologies. It studies the development of modern solutions, models and algorithms for the application of artificial intelligence and Blockchain technologies.

Contact No: +998941816422, +998944798640(telegram)
Email Id:fayzulla-samsu@mail.ru, researcher.are@gmail.com

Name of Session Organizer/ Session Chairs:
Prof.Dr.Akmal Ahatov, Vice-Rector, International relations
Prof.Dr. Hakim Hushvaktov, Vice-Rector, Research and innovations

Univerity: Samarkand State University of Uzbekistan

Title of Session:

Papers are invited in all tracks for Samarkand State University of Uzbekistan

Brief Description of the Session:

All the accepted and registered papers will be Presentd in Samarkand State University of uzbekistan Physically and Online in all the tracks.

Contact No:
Email Id:akmalar74@gmail.com, hakimxushvaqtov@gmail.com

Paper Submission

Submit Paper


Registration Process-
Conference Dates:
February 24 - 25, 2023
Registration Fee: ICABCS-2023

Account Details will be updated soon...
Registration Fee for Authors
Early Bird Registration
Delegates/ Authors Indian Foreign
Students 5000 INR 250 USD
Research Scholar/ Academics 6000 INR 300 USD
Industries 10000 INR 400 USD
Late Registration
Delegates/ Authors Indian Foreign
Students 6000 INR 350 USD
Research Scholar/ Academics 7000 INR 400 USD
Industries 12000 INR 450 USD
Registration Fee for Participants
Delegates/ Authors Indian Foreign
Students 1000 INR 100 USD
Research Scholar/ Academics 2000 INR 150 USD
Industries 5000 INR 200 USD

Account Details

Bank Account Details
Name of Account GU Conferences
Account Number 6717000100025845
IFSC Code PUNB0671700
MICR Code 110024298
Bank Name Punjab National Bank
Branch Punjab National Bank, Sector-63, Gautam Buddha Nagar, Noida-201301,UP


We encourage you to submit the original menuscript.

Manuscript should be unpublished and original work of authors.

Keep the plagiarism as below as 10% for acceptance.

The paper should be as per template given in downloads section of the website.

One Author will be allowed per Registration


Read More

Download template

Important Dates

Mode of Conference:
Online & Offline (Hybrid Mode)

Paper Submission Deadline:
31 December, 2022 (Extended 26 January 2023)

Notification of Acceptance:
05 January, 2023 (Extended 31 January 2023)

Early Registration Due:
10 January, 2023 (Extended 05 February 2023)

Late Registration Due
10 February, 2023

CRC Submissions:
10 February, 2023

Conference Dates:
24-25 February, 2023

Submit Paper


Every accepted article

registered by at least one author to

appear in the proceedings of the

Conference. The acceptance list of

articles will be announced on the

conference website. And the authors will

be intimated via emails.

Registration Fee

Register Here

Keynote Speakers

Prof. (Dr.) Sri Niwas Singh

Professor (HAG), Department of EE

IIT Kanpur, India

Aurel Vlaicu University of Arad, Romania

University of Eastern Finland

Other Speakers Details will be updated soon...


Chief Patron

Shri Suneel Galgotia, Chancellor, Galgotias University, Greater Noida, India


Shri Dhruv Galgotia, CEO, Galgotias University, Greater Noida, India

Prof.(Dr.) Mallikharjuna Babu Kayala, VC, Galgotias University, India

Ms. Aradhna Galgotia, Director Operations, Galgotias University, Greater Noida, India

Conference General Chair

Prof. (Dr.) Avadhesh Kumar, Pro-VC, Galgotias University, Greater Noida, India.

Prof. (Dr.) Raju Hajare, Dean, Galgotias University, Greater Noida, India.

Prof. (Dr.) Munish Sabharwal, Dean, SCSE, Galgotias University, Greater Noida, India

Conference Chair

Prof. (Dr.) Arvind Dagur, Professor, SCSE, Galgotias University, Gr. Noida, India

Dr. Karan Singh, Professor, SCSE, JNU New Delhi, India

Dr. Mohamed Elhoseny, Associate Professor, University of Sharjah, UAE

Conference Co-Chairs

Prof. (Dr.) Dr. Amit Kumar Goel, Professor, SCSE, Galgotias University, Gr. Noida

Prof. (Dr.) Dr. Krishan Kant Agarwal, Professor, SCSE, Galgotias University, Gr. Noida

Dr. Dhirendra Kumar Shukla , Professor, SCSE, Galgotias University

Technical Program Chairs

Dr. Prashant Johri, Professor, SCSE, Galgotias University

Dr. Pawan Singh Mehra, Department of CSE, DTU, Delhi, India

Dr. Shiv Kumar Verma, Professor, SCSE, Galgotias University

Dr. SPS Chauhan, Professor, SCSE, Galgotias University

Dr. Ganga Sharma , Professor, SCSE, Galgotias University

Dr. Anshu Kumar Dwivedi , Professor, SCSE, BIT

Publication Chair

Dr. Shraddha Sagar,SCSE, Galgotias University, India

Dr. Dileep Kumar Yadav, Professor, SCSE, Galgotias University

Dr. Gambhir Singh, Professor, SCSE, Galgotias University

Dr. Arvinda Kushwaha, Professor, MIET, Meerut

Finance Chair

Dr. Aanjey Mani Tripathi, Professor, SCSE, Galgotias University

Conference Organizing Committee

Dr. Sanjeev Kumar Prasad, Professor, SCSE, Galgotias University

Dr. Kuldeep Singh Kaswan, Professor, SCSE, Galgotias University

Dr. Sampath Kumar K, Professor, SCSE, Galgotias University

Dr. Vikash Kumar Mishra, Professor, SCSE, Galgotias University

Dr. Abdul Aleem, Professor, Galgotias University, Gr. Noida

Dr. Vimal Kumar, Professor, SCSE, Galgotias University

Dr. T. Ganesh Kumar, Galgotias University

Dr. Atul Kumar Singh, AP, Galgotias University, Gr. Noida

Prof. Ambika Gupta , SCSE, Galgotias University

Media and Publicity Chair

Dr. D Rajesh, Professor, Professor, SCSE, Galgotias University

Dr. Ajay Shanker Singh, Professor, SCSE, Galgotias University

Dr. Vishwadeepak Singh Baghela, Professor, SCSE, Galgotias University

Cultural Program Chair

Prof. Garima Pandey, SCSE, Galgotias University

Prof. Aanchal Vij, SCSE, Galgotias University

International Advisory Committee

Prof. Valentina Emilia Balas, Aurel Vlaicu University of Arad, Romania
Prof. Toshio Fukuda, Nagoya University, Japan
Dr. Vincenzo Piuri, University of Milan, Italy
Dr. Ahmad Elngar, Beni-Suef University, Egypt
Dr. Malik Alazzam, Lone Star College - Victory Center. Houston, TX, United States
Dr. Osamah Ibrahim Khalaf, Profesor, Al-Nahrain University, College of Information Engineering, Baghdad, Iraq
Dr.TheyaznHassnHadi, King faisal university, Saudi Arabia
Md Atiqur Rahman Ahad, Osaka University, Japan, University of Dhaka, Bangladesh
Prof(Dr) Sanjay Nadkarni, Director of Innovation and Research, The Emirates Academy of Hospitality Management, Dubai, UAE
Dr.Ghaida Muttashar Abdulsahib, Department of Computer Engineering, University of Technology, Baghdad, Iraq
Dr. R. John Martin, Assistant Professor, School of Computer Science and Information Technology, Jazan University
Dr Mohit Vij, Associate Professor, Liwa College of Technology, Abu Dhabi, United Arab Emirates
Dr. Syed MD Faisal Ali khan, Lecture & Head - DSU, CBA, Jazan University
Dr. Dilbag Singh, Research Professor, School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, South Korea
Dr. S B Goyal, Dean & Director, Faculty of Information Technology, City University, Malaysia
Dr. Shakhzod Suvanov, Faculty of Digital Technologies, Department of Mathematical Modeling, Samarkand State University,Samarkand Uzbekistan
Dr Upasana G Singh, University of KwaZulu-Natal, South Africa
Ouissem Ben Fredj, ISSAT, University of Kairouan, Tunisia
Dr. Sudhakar Periyasamy, Associate Professor, Mekelle University
Dr. Omar Cheikhrouhou, CES Lab, ENIS, University of Sfax, Tunisia
Dr. Gordon Hunter, Associate Professor, Mekelle University, Kingston University , U.K.
Dr. LALIT GARG, Computer Information Systems, Faculty of Information & Communication Technology, University of Malta, Malta
Dr. Sanjeevi kumar Padmanaban, Aarhus University, Denmark
Prof Dr Alex Khang, Professor of Information Technology, AI Expert and Data Scientist, GRITEx VUST SEFIX EDXOPS, Vietnam and USA
Jiangtao Xi, 1st degree connection 1st, Professor, Head of School of Electrical, Computer and Telecommunications Engineering at University of Wollongong, Greater Sydeny
Dr. Rabiul Islam, Senior Lecturer at University of Wollongong, Australia
Prof. Lambros Lambrinos, Cyprus University of Technology, Cyprus
Dr. Xiao-Zhi Gao, University of Eastern Finland, Finland
Dr. Sandeep Singh Sanger, University of Copenhagen
Dr. Mohamed Elhoseny, University of Sharjah, United Arab Emirates
Dr. Vincenzo Piuri, University of Milan, Italy
Dr. Ahmad Elngar, Beni-Suef University, Egypt

National Advisory Committee

Dr. S. N. Singh, IIT Kanpur
Dr. Rajeev Tripathi, MNNIT, Allahabad
Dr. R. S. Yadav, MNNIT Allahabad
Dr. Satish Chand, JNU, New Delhi
Dr. M. N. Doja, IIIT Sonepat
Dr. Bashir Alam, JMI, New Delhi
Dr. Shailesh Tiwari, KEC, Ghaziabad
Dr. Mansaf Alam, JMI, New Delhi
Dr. Ompal, DST, New Delhi
Dr. Rajeev Kumar, DTU, New Delhi
Dr. Parma Nand, Sharda University, India
Dr. Pavan Kumar Mishra, NIT Raipur
Dr. Nagendra Pratap Singh, NIT Hamirpur
Dr. Santarpal Singh, Thapar University
Dr. Samayveer Singh, NIT Jalandhar
Dr. Subodh Srivastava, NIT Patna
Dr. Ranvijay, NIT Allahabad
Dr. Manu Vardhan, NIT Raipur
Dr. Pramod Yadav, NIT Srinagar
Dr. Vinit Kumar, GCET Gr. Noida
Dr. Anoop Kumar Patel, NIT Kurukshetra
Dr. Suyash Kumar, DU Delhi
Dr. Karan Singh, JNU Delhi
Dr. Hitendra Garg, GLA University Mathura
Dr. Chanchal Kumar, JMI New Delhi
Dr. Vivek Sharma, Sharda University, Gr. Noida
Dr. Anand Prakesh Shukla, DTE, UP
Dr. Biru Rajak, MNNIT Allahabad
Dr. Gopal Singh Kushwaha, Bhopal
Dr. Rajeev Pandey, SRMS Brailly
Dr. D. Pandey, KIET Ghaziabad
Dr. D.S. Kushwaha, MNNIT Allahabad
Dr. Sarsij Tripathi, MNNIT Allahabad
Dr. Shivendra Shivani, Thapar University, Punjab
Dr. Divakar Yadav, NIT Hamirpur
Dr. Pradeep Kumar, NIT Kurukshetra
Dr. Anand Sharma, AIT Aligarh
Dr. Udai Pratap Rao, SVNIT Surat
Dr. Vikram Bali, IMSEC Ghaziabad
Dr. Gaurav Dubey, Amity University, Noida
Dr. Radha Raman Chandan, SMS Varanasi
Dr. Vijay Kumar Dwivedi, United Group of Institutions, Prayagraj

Technical Committee

Dr. A. Daniel, Galgotias University
Dr. Alok Katiyar, Galgotias University
Dr. Anu Bala, Galgotias University
Dr. Arvind Kumar, Galgotias University
Dr. Avneesh Kumar, Galgotias University
Dr. B. Mallikarjuna, Galgotias University
Dr. Baalamurugan KM, Galgotias University
Dr. Bharat Bhushan Naib, Galgotias University
Dr. Deepika Gupta, Galgotias University
Dr. E. Rajesh, Galgotias University
Dr. Gurmeet Singh, Galgotias University
Dr. J. N. Singh, Galgotias University
Dr. Kavita, Galgotias University
Dr. Kirti Shukla, Galgotias University
Dr. Manoj Kumar Tyagi, Galgotias University
Dr. Medhavi Malik, Galgotias University
Dr. Michael Raj TF, Galgotias University
Dr. Mohd. Arquam, Galgotias University
Dr. N. Gayathri, Galgotias University
Dr. N. Partheeban, Galgotias University
Dr. Nitin Mishra, Galgotias University
Dr. Pallavi Jain, Galgotias University
Dr. Pooja Singh, Galgotias University
Dr. Raju Ranjan, Galgotias University
Dr. Ritesh Kumar, Galgotias University
Dr. Runumi Devi, Galgotias University
Dr. S. Annamalai, Galgotias University
Dr. S. Beski Prabaharan, Galgotias University
Dr. S. Rakesh Kumar, Galgotias University
Dr. Saket Kumar Choudhary, Galgotias University
Dr. Sanjeev Kumar Punia, Galgotias University
Dr. Santosh Kumar Srivastava, Galgotias University
Dr. Shailendra Pratap SIngh, Galgotias University
Dr. Shajahan B., Galgotias University
Dr. Subhash Chandra Gupta, Galgotias University
Dr. Sudeept Singh Yadav, Galgotias University
Dr. Sunil Kumar, Galgotias University
Dr. T. Ganesh Kumar, Galgotias University
Dr. T. Poongodi, Galgotias University
Dr. Vipin Rai, Galgotias University
Dr. Vipul Narayan, Galgotias University
Dr. P Sudhakar, Galgotias University
Dr. Ajay Sikandar, Galgotias University
Dr. Ajeet Singh, Galgotias University
Dr. Akhilendra Kumar Khare, Galgotias University
Dr. Amit Kumar, Galgotias University
Dr. Anuj Kumar, Galgotias University
Dr. Anupam Kumar Sharma, Galgotias University
Dr. Ashish Kumar Srivastava, Galgotias University
Dr. Ashok Kumar, Galgotias University
Dr. Balbindar Kaur, Galgotias University
Dr. Brijesh Kumar Singh, Galgotias University
Dr. G. Sakthi, Galgotias University
Dr. Gaurav Verma, Galgotias University
Dr. Gulshan Shrivastava, Galgotias University
Dr. Harshvardhan Choudhary, Galgotias University
Dr. Kumar Manoj, Galgotias University
Dr. Maneesh Upadhya, Galgotias University
Dr. Monika Bansal, Galgotias University
Dr. Monika Jain, Galgotias University
Dr. Nabanita Mahata, Galgotias University
Dr. Namita Arya, Galgotias University
Dr. Neetu Sharma, Galgotias University
Dr. Nipendra Dwivedi, Galgotias University
Dr. Rajeev Kumar, Galgotias University
Dr. Ravi Sharma, Galgotias University
Dr. Sachin Minocha, Galgotias University
Dr. Santosh Kumar, Galgotias University
Dr. Savita Kumari, Galgotias University
Dr. Shakeel Ahamad, Galgotias University
Dr. Shiv Naresh Shivhare, Galgotias University
Dr. Subash Harizan, Galgotias University
Dr. Sudeshna Chakraborty, Galgotias University
Dr. Upasana Dohare, Galgotias University
Dr. Vinay Kumar Pandey, Galgotias University
Mr A. Boobalan, Galgotias University
Mr Abhist Kumar, Galgotias University
Mr Ajay Shankar, Galgotias University
Mr Alok Kumar, Galgotias University
Mr Amit Kumar, Galgotias University
Mr Amit Shukla, Galgotias University
Mr Anil Kumar, Galgotias University
Mr Ankit Sharma, Galgotias University
Mr Anupam Lakhanpal, Galgotias University
Mr Arun Kumar, Galgotias University
Mr Arunendra Mani Tripathi, Galgotias University
Mr Arvindhan M., Galgotias University
Mr Atul Kumar Singh, Galgotias University
Mr Bibhas Kumar Rana, Galgotias University
Mr C. Ramesh Kumar, Galgotias University
Mr Damodharan D., Galgotias University
Mr Deependra Rastogi, Galgotias University
Mr Dewan Imdadul Islam, Galgotias University
Mr Gaurav Singh Rawat, Galgotias University
Mr Gautam Kumar, Galgotias University
Mr Gourav Jain, Galgotias University
Mr Goutham E., Galgotias University
Mr Gyanendra Kumar, Galgotias University
Mr Himanshu Sharma, Galgotias University
Mr Hradesh Kumar, Galgotias University
Mr K. Prabu, Galgotias University
Mr K. Rajkannan, Galgotias University
Mr K. Suresh, Galgotias University
Mr Kaleemur Rehman, Galgotias University
Mr Lalit Kumar, Galgotias University
Mr Md. Shamsh Tabarej, Galgotias University
Mr Mohd. Anas, Galgotias University
Mr Mohd. Sameen Chishti, Galgotias University
Mr Nikhil Ranjan, Galgotias University
Mr P. Rajakumar, Galgotias University
Mr Padmanabhan P., Galgotias University
Mr Peerzada Hamid Ahmad, Galgotias University
Mr Pradeep Bedi, Galgotias University
Mr Pramod Kumar Soni, Galgotias University
Mr Rajakumar P., Galgotias University
Mr Rajiv Chourasiya, Galgotias University
Mr Rajkamal Kishor Gupta, Galgotias University
Mr Rashmi Rathi Upadhyay, Galgotias University
Mr Ravi Sharma, Galgotias University
Mr Ravinder Ahuja, Galgotias University
Mr Rohit Negi, Galgotias University
Mr S. Janarthanan, Galgotias University
Mr S. Prakash, Galgotias University
Mr S. Premkumar, Galgotias University
Mr Sanjay Kumar Sonker, Galgotias University
Mr Satheesh Kumar, Galgotias University
Mr Shahadat Hussain, Galgotias University
Mr Shubham Kumar, Galgotias University
Mr Soumalya Ghosh, Galgotias University
Mr Suresh Kumar N., Galgotias University
Mr Tarun Kumar, Galgotias University
Mr V. Gokul Rajan, Galgotias University
Mr Vetrivendan L., Galgotias University
Mr Yashwant Soni, Galgotias University
Mr Zatin Gupta, Galgotias University
Mr. K. Baskar, Galgotias University
Mr. Mukesh Bhardwaj, Galgotias University
Mr. Nitin Jain, Galgotias University
Mr. Sudhir Mohan, Galgotias University
Mr. V. Janakiraman, Galgotias University
Mr. Vibhor Gupta, Galgotias University
Mr. Abdul Mazid, Galgotias University
Mr. Amit Kumar, Galgotias University
Mr. Anurag Gupta, Galgotias University
Mr. Ashwin Perti, Galgotias University
Mr. B. Thillaieaswaran, Galgotias University
Mr. Baldivya Mitra, Galgotias University
Mr. Gourav Kumar Sharma, Galgotias University
Mr. Harsh Raj Singh, Galgotias University
Mr. Kapil Sharma, Galgotias University
Mr. Kundan Kumar, Galgotias University
Mr. R. Radha Krishnan, Galgotias University
Mr. Sandeep Bhatia, Galgotias University
Mr. Sumit Singh, Galgotias University
Ms Aanchal Vij, Galgotias University
Ms Aditi Gaur, Galgotias University
Ms Alisha Banga, Galgotias University
Ms Ambika Gupta, Galgotias University
Ms Archana , Galgotias University
Ms Archana Kumari, Galgotias University
Ms Deepika , Galgotias University
Ms Deepti Singh, Galgotias University
Ms Garima Pandey, Galgotias University
Ms Garima Rathi, Galgotias University
Ms Geetika Sharma, Galgotias University
Ms Heena Khera, Galgotias University
Ms Indervati, Galgotias University
Ms Indrakumari, Galgotias University
Ms J. Angelin Blessy, Galgotias University
Ms Jagriti , Galgotias University
Ms Kimmi Gupta, Galgotias University
Ms Kiran Singh, Galgotias University
Ms Lalita Verma, Galgotias University
Ms Monu Singh, Galgotias University
Ms Mudita Sharan, Galgotias University
Ms N. Suvarna, Galgotias University
Ms Nidhi Sharma, Galgotias University
Ms Parvesh, Galgotias University
Ms Pragya Agarwal, Galgotias University
Ms Pragya Tewari, Galgotias University
Ms Pragya, Galgotias University
Ms Priyanka Shukla, Galgotias University
Ms Priyanka, Galgotias University
Ms Pushpa Singh, Galgotias University
Ms R. Radhika, Galgotias University
Ms R. Sathiya Priya, Galgotias University
Ms Ragini Kumari, Galgotias University
Ms Ritu Gupta, Galgotias University
Ms Shilpy Gupta, Galgotias University
Ms Shruti Sachdeva, Galgotias University
Ms Shweta Mayor Sabharwal, Galgotias University
Ms Sonia Kukreja, Galgotias University
Ms Sonia Kumari, Galgotias University
Ms Sudhriti Sen, Galgotias University
Ms Suman Devi, Galgotias University
Ms Swapnita Srivastava, Galgotias University
Ms Swati Sharma, Galgotias University
Ms Urvashi Sugandh, Galgotias University
Ms Vaishali Gupta, Galgotias University
Ms Vijaya Choudhary, Galgotias University

Program Schedule

To be Update Soon...


Accommodation shell be provided on payment in nearest hotel in Greater Noida. You can also directly contact to the following hotels for accommodation:
1. Hotel Radisson Blu
2. Crowne Plaza Greater Noida, an IHG hotel
3. Jaypee Greens Golf & Spa Resort
4. YMCA Greater Noida Programme Centre
5. The Hideaway, Greater Noida by Leisure Hotels Group

Contact Us

Galgotias University
Room No-321, C- Block, School of Computing Science and Engineering, Galgotias University, Gr. Noida, UP, India

Contact: Dr. Arvind Dagur, Professor
Mobile: +919811333406
E-Mail: icabcs2023@gmail.com

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