Special Focus on
Smart Solutions towards SDG
ICCCSP 2024 strives to foster a collaborative platform where scholars and professionals convene to exchange ideas and present their latest advancements. With a specific focus on "Smart Solutions towards SDG," the conference aligns with the 2030 agenda for sustainable development proposed by the United Nations. By exploring innovative approaches and groundbreaking research, we endeavour to contribute to the enhancement of economic, social, and environmental dimensions in pursuit of the 17 core SDGs.
We take great pride in the approval from the prestigious International Federation for Information Processing (IFIP) that is imminent, and we are honoured to collaborate with Springer, further augmenting the calibre and influence of this esteemed event.
Sri Sivasubramaniya Nadar (SSN), founded by Padma Bhushan Dr. Shiv Nadar, Chairman, HCL Technologies, stands out as a premier center of higher learning with a mission of pursuing excellence in education and research. The institutions, with their diverse and dynamic community of students offer a distinctive combination of some of the finest graduate, undergraduate and research programs, accomplished faculty, world class facilities and a residential campus set on a sprawling 250 acres of sylvan surroundings. SSN Institutions provide a variety of stimulating environments for intellectual development, free thinking, and personal growth, challenging its students with dynamic learning opportunities and equipping them with the skills, insights, attitudes and practical experiences that are necessary to take up responsibilities in the society.
The Department of Information Technology was established in the year 1999. Our Mission is to provide quality education to the students and impart IT excellence in them. Apart from making them good technocrats, we also provide individual attention to make them good citizens of our nation to serve the industry and society constructively. Drawing upon SSNCE’s tradition of teaching excellence, the department with 30 faculty members and 480/600 students of UG, PG, PhD research scholars, JRF and Project Staff work closely together in an open, collegial atmosphere. The department places equal emphasis on theoretical and experimental Information Technology. The department has state-of-art facilities in various labs, a well-equipped seminar hall and a conference room, classrooms to support e-learning and a department library. The department is Accredited by NBA for the second consecutive term for 5 years for the period 2015-2020.
Brain Machine Interface Research Group (FTKE), Universiti Malaysia Perlis
Malaysia
Research Scientist, RIKEN Institute
Japan
Director-Power Platform/Dynamics 365, Microsoft
India
Lecturer Above the Bar, School of Computer Science, University of Galway
Galway, Ireland
DAY | TIME | EVENT | |
---|---|---|---|
21st March, Thursday | 08:15 AM - 08:40 AM | Inagural | |
8:40 AM - 10:00 AM | Keynote Talk Dr. Vijay John Research Scientist, RIKEN, Japan | ||
10:00 AM - 10:30 AM | Break | ||
10:30 AM - 12:30 PM | Paper Presentations Track 1, 2, 3, 4 | ||
12:30 PM - 01:30 PM | Lunch Break | ||
01:30 PM - 03:00 PM | Keynote Talk Dr. Karl Mason Lecturer Above the Bar, School of Computer Science, University of Galway, Galway, Ireland | ||
22nd March, Friday | 08:30 AM - 10:00 AM | Keynote Talk Dr. Wan Khairunizam Brain Machine Interface Research Group (FTKE), University Malaysia Perlis, Malaysia | |
10:00 AM - 10:30 AM | Break | ||
10:30 AM - 12:00 PM | Keynote Talk Mr. Anand Ponnusamy Director-Power Platform/Dynamics 365 at Microsoft | Poster Session | |
12:00 PM - 01:00 PM | Lunch Break | ||
01:00 PM - 03:00 PM | Paper Presentations Track 5, 6, 7 | ||
03:15 PM | Valedictory |
Track 1: SDG 3 | ||||||
---|---|---|---|---|---|---|
Day 2: 21st March 2024, Thursday | Time: 10:30 AM - 12:30 PM | |||||
Venue: IT Seminar Hall | ||||||
Session Chairs: Dr. Vijay/BME & Dr. Vidhusha, SNU | ||||||
Session Co-ordinator: Dr. G. Sornavalli | Student Coordinator: Aswath (+91 88257 05426) | |||||
S. No | Paper ID | Title | Author | |||
1 | 8 | Revelatory insights into Parkinson's : Hand Gestures deciphering with Mobilenet SSD | Balaji VS | |||
2 | 9 | Precision Exercise Monitoring through Advanced Body Language Detection using Computer Vision | Balaji VS | |||
3 | 19 | Surveillance and Mitigation of External Stimuli-Induced Sensory Overload in Autism with IoMT: Communicating Insights to Caregivers | Chithra S | |||
4 | 57 | Time Series Forecasting for COVID-19 Confirmed | Rimjhim Padam Singh | |||
5 | 60 | Automated Depression Detection Using CNN and Transformer-Based Pre-Trained Language Models | Raghavi S |
Track 2: SDG 4 | ||||||
---|---|---|---|---|---|---|
Day 2: 21st March 2024, Thursday | Time: 10:30 AM - 12:30 PM | |||||
Venue: Conference Hall | ||||||
Session Chairs: Dr. D. Thenmozhi & Dr. S. Karthika | ||||||
Session Co-ordinator: Dr. E. Suganya | Student Coordinator: Nithyasri (+91 93848 05204) | |||||
S. No | Paper ID | Title | Author | |||
1 | 22 | AI-ENHANCED SIGN LANGUAGE INTERPRETER | Vasanth Kumar.CH | |||
2 | 66 | An NLP based Approach to Automate and Enhance the Systematic Review within PRISMA format | Jeena A Thankachan | |||
3 | 67 | Closing the Communication Divide: Enhancing Sign Language Recognition with Gesture-to-Text Conversion | Krishnakumar R | |||
4 | 70 | Evolving GAN-BERT architecture for Efficient Text categorization with minimal labeled data | Bagavathi C | |||
5 | 165 | Sign Language Recognition - A Review | P Vasuki |
Track 3: SDG 11 | ||||||
---|---|---|---|---|---|---|
Day 2: 21st March 2024, Thursday | Time: 10:30 AM - 12:30 PM | |||||
Venue: Alan Turing Lab | ||||||
Session Chairs: Dr. Kishore/ECE & Dr. S. Chithra, MIT | ||||||
Session Co-ordinator: Dr. S. Anita | Student Coordinator: Swetha (+91 73389 55731) | |||||
S. No | Paper ID | Title | Author | |||
1 | 160 | Smart Armband with Fall Detection in Elderly | Fathima Naushin A R | |||
2 | 131 | An Integrated Framework Utilizing Hybrid LDA and BERT for Enhanced Hotel Recommendation Systems | Neha Bhende | |||
3 | 138 | Road Damage Detection Using Real Time Video | Gomathi G | |||
4 | 151 | Touchless Doorbell with Face Detection | Rathish Manivannan | |||
5 | 153 | Facial Deblurring And Recognition Using Image Processing And Machine Learning Techniques | B R Subrahmanyam |
Track 4: Others | ||||||
---|---|---|---|---|---|---|
Day 2: 21st March 2024, Thursday | Time: 10:30 AM - 12:30 PM | |||||
Venue: Old PG Lab | ||||||
Session Chairs: Dr. K.B. Sundhar & Dr. P. Vasuki | ||||||
Session Co-ordinator: Dr. A. Saravanan | Student Coordinator: Ananya (+91 73059 99396) | |||||
S. No | Paper ID | Title | Author | |||
1 | 4 | Implementing a NFT based album purchasing web application using ReactJs by integrating with ethereum blockchain. | Srinidhi M | |||
2 | 20 | A New Innovative Initialization Strategy in Population-Based Evolutionary Optimization Algorithms | Baskar A | |||
3 | 108 | HyPRETo: Hybrid Pre-Trained Ontology Approach for Contextual Relation Classification on Mosquito Vector Biocontrol Agents | G.Jeyakodi | |||
4 | 164 | Waste segregation using Deep Learning model | Jeevitha Bethulakshmi K | |||
5 | 161 | Renal Irregularities Detection Using Convolutional Neural Network | Ashwin Roberts R |
Track 5: SDG 3 | ||||||
---|---|---|---|---|---|---|
Day 3: 22nd March 2024, Friday | Time: 1:00 PM - 3:00 PM | |||||
Venue: Alan Turing Lab | ||||||
Session Chairs: Dr. V. Thanikachalam, VIT & Dr. T. Sree Sharmila, AU | ||||||
Session Co-ordinator: Dr. V. Arul Kumar | Student Coordinator: Sahana Sree (+91 99406 40904) | |||||
S. No | Paper ID | Title | Author | |||
1 | 74 | INTEGRATING DEEP LEARNING FRAMEWORKS FOR AUTOMATED MEDICAL IMAGE DIAGNOSIS | Gayatri K | |||
2 | 114 | Explaining Parkinson's Disease Detection by Ensemble Classifiers with Local Interpretable Features | Aniket Dixit | |||
3 | 115 | MENTAL STRESS ASSESSMENT IN WORKING ENVIRONMENT FOR AN INDIVIDUAL USING WEARABLE SENSOR OF EEG AND PULSE SIGNAL MEASURED WITH HELP OF DEEP LEARNING ALGORITHM | BHUVANESHWAR S | |||
4 | 127 | Speech Recording Analysis for Parkinson's Detection using Machine Learning Approach | G Deepika | |||
5 | 137 | Automatic COVID-19 Disease Detection from CT scan Images Using a Deep Learning Framework | Dr.G.Niranjana |
Track 6: SDG 9 | ||||||
---|---|---|---|---|---|---|
Day 3: 22nd March 2024, Friday | Time: 1:00 PM - 3:00 PM | |||||
Venue: Old PG Lab | ||||||
Session Chairs: Mr. R. Shankar, RNTBCI & Dr. R. Srinivasan | ||||||
Session Co-ordinator: Dr. A. Sandanakaruppan | Student Coordinator: Ranjeev (+91 89251 88870) | |||||
S. No | Paper ID | Title | Author | |||
1 | 79 | A Deep Learning-Based Algorithm for Predicting the Turning Point of Cloud Workload | Anmol Jain | |||
2 | 82 | Perl eBook: Unleashing Machine Learning with TensorFlow.js in a Node.js and SQL Environment | SANJAY R | |||
3 | 105 | Cluster Based Classification of Question Independent C Codes | Roshni M Balakrishnan | |||
4 | 109 | Predictive Maintenance for Hard Disk Drives using Random Forest | Dr. Peeta Basa Pati | |||
5 | 124 | ETHEREUM POWERED WEB3 CROWDFUNDING PLATFORM | Indra S B |
Track 7: Others | ||||||
---|---|---|---|---|---|---|
Day 3: 22nd March 2024, Friday | Time: 1:00 PM - 3:00 PM | |||||
Venue: Conference Hall | ||||||
Session Chairs: Dr. S. Sasirekha, NITTTR & Dr. B. Bharathi/CSE | ||||||
Session Co-ordinator: Dr. Joe Louis Paul I. & Dr. J.K. Josephinejulina | Student Coordinator: Vithula (+91 99402 97114) | |||||
S. No | Paper ID | Title | Author | |||
1 | 65 | DestiNexus: Probabilistic Framework for Weather Informed Travel Itinerary Optimization | Ranjeeth Kumar R | |||
2 | 159 | MEDISYNC: FINGERPRINT-ENABLED AUTHORIZATION OF MEDICAL DEVICE CALIBRATION | A. M. Arunnagiri | |||
3 | 163 | Enhancing Adaptive Data Management Middleware: Techniques for Federated Cloud Environments | VIKAS KANIFNATH KOLEKAR | |||
4 | 117 | Assessing Degradation Levels of Palm Leaf Manuscripts with Random Forest using Gabor Features | Peeta Basa Pati | |||
5 | 125 | Explaining Sentiments in Indian Legal Judgments with LIME and SHAP | T Hemanth babu |
Biometric technology has been in use for several decades now and has proven to be a reliable and secure method of identity authentication. However, it is also a field that continues to advance and evolve, with new developments and innovations emerging regularly. Recent advances in artificial intelligence and machine learning have enabled biometric systems to become more accurate and efficient, with the ability to learn and adapt to new patterns and data over time. This has resulted in improved performance, reduced error rates, and increased convenience for users. The development of new biometric modalities, such as vein recognition, gait analysis, and DNA biometrics, has expanded the range of options available for identity authentication, providing greater flexibility and adaptability to different security requirements. Another important area of advancement in biometrics is in the integration of multiple biometric modalities, known as multimodal biometrics. By combining two or more biometric factors, such as facial recognition and voice recognition, multimodal systems can offer even greater accuracy and security, with reduced vulnerability to fraud and hacking attempts. The increasing prevalence of biometric technology in everyday life, such as in smartphones and other consumer devices, has helped to drive further innovation and development in the field, as well as greater acceptance and adoption by the public. Biometrics has expanded its wings and a lot of research on Animal Biometrics in the recent past has given us motivating results. Overall, biometric technology is an established and reliable method of identity authentication, but it is also a field that continues to advance and evolve, with new developments and innovations emerging regularly. As the technology continues to evolve, it is likely that we will see even greater improvements in accuracy, security, and convenience for users. This talk is intended to highlight the milestones achieved in the domain so far and ignite the minds of young researchers with recent advances and newer challenges in the domain.
Faculty Coordinators : Dr. N. Radha , Dr. R. Swathika Dr. A. Sandana Karuppan, SSNCE.
The workshop on Immersive Technologies typically aim to educate participants about the latest advancements and applications of immersive technologies such as virtual reality (VR), augmented reality (AR), and mixed reality (MR). It highlights on providing an overview of these technologies, their differences, and how they are used in various industries. It help the participants to gain insight to the different types of hardware sets involved with the necessary development tools and platforms. It guarantees on few demonstrations of immersive projects and explores future opportunities of these technologies for innovation and growth.
Faculty Coordinators : Dr. Josephinejulina JK, Dr. G. Sornavalli, Dr. Suganya E, SSNCE.
The adoption of IoT and application of robotics in creating technical innovations aimed at attaining SDGs. Skill update on sensor integration, incorporating intelligence and building smart embedded systems. Hands-on session to think, design, develop and implement multi- disciplinary applications in the field of IoT and Robotic automation. Revitalize the research gaps for all the intelligence process of an automation industry for societal impact.
Faculty Coordinators: Dr. E.M. Malathy, Dr. K.S. Gayathri, Dr. V. Sivamurugan, Dr. S. Anitha, SSNCE
Text analysis and Information Extraction & Retrieval (TIER 2024): The Eighth Edition of workshop (TIER-2024) seeks to foster growth and excellence in the emerging NLP community. This time. the theme of the workshop is “Explainable AI (XAI)” which involves making AI models transparent and interpretable so that humans can comprehend why a certain decision was made or a particular prediction was generated. This workshop focuses on applying XAI techniques specifically to text analytics opens numerous possibilities for improving the transparency and interpretability of natural language processing (NLP) models. Participants of this workshop can gain a comprehensive understanding of how XAI techniques can be applied to text analytics models, ultimately leading to more effective and responsible use of AI in natural language processing applications. The workshop features talks by experts in XAI and a hands-on session exploring tools that offer diverse options for implementing XAI techniques in text analytics.
Faculty Coordinators: Dr. C. Aravindan, Dr. N. Sripriya, Mr. B. Senthilkumar, SSNCE
Thanks for the overwhelming response. The registration for Pre-Conference Workshops has been closed.
We cordially invite the submission of original research articles, aiming to address the application of intelligent technologies towards the attainment of sustainable development goals for Health & Well being, Quality Education, Industry Innovation & Smart Cities. Prospective areas of interest encompass, but are not limited to, the following:
We are delighted to invite you to submit your abstracts for poster presentations at the ICCCSP 2024.
This year's theme, 'Smart Solutions towards SDG', underscores the importance of embracing advancements in technology, data analytics, and interconnected systems to tackle complex global challenges effectively. It emphasizes the need for solutions that are not only technologically advanced but also socially inclusive, economically viable, and environmentally sustainable.
EVENT | Date |
---|---|
Paper Submission Opens from | September 15, 2023 |
Paper Submission Deadline | January 25, 2024 Closed |
Paper Acceptance Notification Starts | February 1, 2024 |
Paper Acceptance Notification Ends | March 5, 2024 |
Paper Registration is open for Accepted Papers | |
Deadline for Submission of Revised Paper | March 1, 2024 |
Deadline for Submission of Poster | March 6, 2024 Poster Submission |
Poster Acceptance Notification | March 10, 2024 Poster Submission |
Final Poster Submission (e-version) | March 14, 2024 Poster Submission |
Pre-Conference Workshop | March 20, 2024 |
Conference | March 21 - 22, 2024 |
We sincerely encourage researchers, practitioners, and students to contribute their valuable insights and expertise towards the development of intelligent and sustainable solutions. Accepted papers will be published in the conference proceedings, and subsequently made available through the esteemed Springer publication.
At least one author of each accepted paper must register for the conference and present the paper.
Participants | Registration Fees |
---|---|
Student / Scholar | Rs 6500 |
Faculty / Academician | Rs 7500 |
Industry | Rs 8500 |
Foreign | $100 |
Pre-Conference Workshop | Rs 500 / head |
Poster Presentation | Rs 300 / head |
10% discount on registeration fees for IFIP members, IFIP TC members and IFIP working group |
* No TA and DA will be provided
The above link is common to all participants of ICCCSP 2024 - Author of Paper, Participants of Pre-Conference Workshops, Participants of Poster Presentation. Participants should choose appropriate event and category for making the payment of registration fee as mentioned in the above table. Proof of payment should be saved to upload in the registration form. Registration forms for conference papers, workshops and poster session are provided separately in the following links. Participants are requested to fill in the appropriate forms to complete the registration process.
Xavier Fernando, PhD, P. Eng., Professor, Toronto Metropolitan University, Director, TMU Intelligent Communication and Computing Lab, Toronto, Canada
Eunika Mercier-Laurent, Professor and Chair IFIP TC12(AI), Dept. of Infomatics, University of Reims Champagne-Ardenne, France
Aravindan C, Professor, Dept. of Information Technology, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India
Eunika Mercier-Laurent, Professor and Chair IFIP TC12(AI), Dept. of Infomatics, University of Reims Champagne-Ardenne, France
Xavier Fernando, PhD, P. Eng., Professor, Toronto Metropolitan University, Director, TMU Intelligent Communication and Computing Lab, Toronto, Canada
Vasile Palade, Professor, Professor in Artificial Intelligence and Data Science, Research Centre for Computational Science and Mathematical Modelling, England, United Kingdom
Xiao-Zhi Gao, Professor, Faculty of Natural Sciences, Forestry and Technology, Department of Computer Science, Finland
Naveena Yanamala, Associate Professor of Medicine & Director of AI/ML Research (Rutgers RWJMS, NJ), Director, Center for Innovation (RWJUH/RWJMS), New Brunswick, NJ
Mohammad Faizal Bin Ahmad Fauzi, Professor, Multimedia University - MMU, Cyberjaya, Selangor, Malaysia
Shahina A, Professor and Head, Dept. of Information Technology, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India
Aravindan C, Professor, Dept. of Information Technology, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India
Srinivasan R, Professor, Dept. of Information Technology, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India
Mohanavalli S, Associate Professor, Dept. of Information Technology, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India
Sripriya N, Associate Professor, Dept. of Information Technology, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India
Balaraman Ravindran, Professor, Dept. of Computer Science and Engineering, IIT Madras, India
Prahlad Vadakkepat , Associate Professor, Dept. of Electrical and Computer Engineering, National University of Singapore, Singapore
Sobha L, Researcher, Computational Linguistics Research Group, AU-KBC Research Centre, MIT Campus, Anna University Chennai, India
Palanivel S, Professor, Dept. of Computer Science and Engineering, Annamalai University, India
Aravindan C, Professor, Dept. of Information Technology, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India
Mohanavalli S, Associate Professor, Dept. of Information Technology, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India
Sripriya N, Associate Professor, Dept. of Information Technology, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India
Sofia Jennifer J, Assistant Professor, Dept. of Information Technology, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India
Joe Louis Paul .I, Associate Professor, Dept. of Information Technology, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India
Josephine Julina JK, Assistant Professor, Dept. of Information Technology, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India
Address
The ICCCSP 24 Team
Department of Information Technology
SSN College of Engineering,
Kalavakkam - 603110
Tamil Nadu, India
For further queries, please write to
icccsp@it.ssn.edu.inContact: 98403 04135, 98405 06522, 77087 33053