The Department of Computer Science and Engineering, FET, Manav Rachna International Institute of Research and Studies (MRIIRS) hosted the Inaugural Ceremony of the two-day IEEE International Conference on “Machine Learning, Big Data, Cloud & Parallel Computing: Trends, Perspectives, and Prospects” (Com-IT-Con-2022).

The main objective of the conference is to bring together academics, researchers, and industry leaders from around the world to discuss and debate the most recent advancements in computing disciplines like Machine Learning, Big Data, Cloud Computing, and Parallel Computing. The conference aims to establish scientifically the links between research teams and experts from other nations to facilitate future collaborations. In this two-day event, we will see presentations in different tracks such as Artificial Intelligence & Machine Learning, Cloud Computing & Virtualization, Big Data Analytics & Visualization, Semantic Web & Information Retrieval, Blockchain & Cyber Security, Data Science & Engineering, GPU & Parallel Computing. 

The conference aims to provide an opportunity to share ideas, build competency, contribute to advancement using technology and tools and learn about new offerings in different domains.

Day- 1 (26th.05.2022)

The event commenced at 10:15 a.m. on 26thth May 2022 in the presence of Shri R.K. Arora, Registrar MRIIRS, Dr. I.K. Bhatt, Vice-Chancellor, MRU, Hon’ble Chief Guest Prof. J. P. Gupta, Former Member Secretary, AICTE, Guest of Honor, Dr. Manjeet Dahiya, VP and Head, ML and Data Science, Car Dekho, Dr. Pardeep Kumar, Pro-Vice-Chancellor, Dean FET &FAD, MRIIRS, Dr. Geeta Nijhawan, Associate Dean, FET, MRIIRS, Dr. Supriya P.Panda(Conference Chair), Professor& Head Deptt. of CSE, Dr. Tapas Kumar(Conference Co-Chair), Professor& Head Deptt. of CSE(Specialization), FET, MRIIRS, Dr. Suresh Kumar(Convener) Professor, CSE, FET, Dr. Indu Kashyap(Co-Convener), Professor, CSE, FET, Dr. Poonam Tanwar(Organizing Secretary), Professor CSE, FET, Dr. Madhumita Kathuria(Organizing Secretary), Associate Professor CSE, FET.

Ms. Manisha Vashisht, Assistant Professor, CSE, FET, MRIIRS, and Dr. Rosy Madan, Associate Professor, CSE, FET, MRIIRS welcomed the dignitaries to the event. The programme was inaugurated with traditional lamp lighting as a tribute to Mother Saraswati, the goddess of knowledge by all the dignitaries. The inaugural session started with the welcome address by Dr.Supriya P.Panda, Professor, Chair IEEE International Conference. She welcomed the Chief Guest, Guest of Honor, higher officials, participants, and keynote speakers and outlined the role of the conference on the new vistas of learning, thinking unthinkable. She explained the seven featured tracks of the IEEE conference namely AL and Machine Learning, Cloud Computing and Virtualization, Big Data Analytics and Visualization, Semantic Web & Information Retrieval, Blockchain & Cyber Security, Data Science & Engineering, GPU & Parallel Computing. She briefed the audience with a rich profile of Hon’ble Chief Guest, Guest of Honor, Prof(Dr.) Prabha Sharma, Technical Publication Committee Chair of IEEE. As Conference Chair, she gave information about the submission of over 500 papers from prestigious institutes such as IIT, DTU, NSIT, CDAC, universities from Greece, Oman, and the United States, as well as industries from India, the United States, and elsewhere. Dr. Pardeep Kumar, Pro-Vice-Chancellor, Dean FET & FAD welcomed the dignitaries and the authors/presenters to Manav Rachna Campus. Sir explained the role of the IEEE conference in bridging the gap between industry and academia. He underlined that attending these conferences is a good approach to staying up to date on technologies that can lead to useful research outputs. He congratulated the team for organizing the IEEE conference. Dr. Manjeet Dahiya congratulated the conference team for organizing the conference that focused on the emerging areas. Sir outlined the role of AI/ML quoting real-time examples of the research that their industry is engaged in. Sir emphasized the role of AI in current research in the era of Industry 4.0. Hon’ble Chief Guest, Prof. J.P Gupta addressed the key areas such as Robotic Process Automation (RPA), Edge Computing, Augmented Reality, Virtual Reality, Blockchain, Quantum Computing, Cybersecurity, Internet of things(IoT), Big Data that play the key role for business success. Sir also emphasized predictive modeling and its role in the health care industry. Sir also stressed the pivotal role of conferences for collaborative and interdisciplinary research. Shri R.K Arora, Registrar, MRIIRS blessed and congratulated the organizers of the IEEE International Conference. Dr. Tapas Kumar, Conference Co-Chair, and Head, Dept. of CSE(Specialization), FET, MRIIRS presented a vote of thanks to the Chief Guest, Guest of Honor, and higher officials, dignitaries, esteemed guests, and participants. Sir explained the role of machine learning, big data, and cloud computing as the main components of Industry 4.0. Sir outlined the role of conferences in the development of different research projects. Sir thanked Dr. Sanjay Srivastava, Vice-Chancellor, MRIIRS, Shri R.K. Arora, Registrar, MRIIRS, Dr. Pardeep Kumar, ProVice-Chancellor, Dean FET & FAD, Dr. S.S Tyagi, Senior Member IEEE, IEEE Standing Committee on Technical and Professional Activities, Dr. Subrata Mukhopadhyay, SrPE, valued IEEE SOC members, and management for the valuable support and guidance.

Day-1: Keynote Session 1(26th May 2022, 11:30 am to 12:15 pm)

Keynote Session 1 started at 11:30 am. Dr. Monika Garg welcomed the speaker. The session was delivered by Professor Rahul Banerjee, Director, LNMIIT Jaipur. He talked about ‘Mental Health Support and Injury Prevention in Sports: A Distributed Hybrid Intelligent System Approach”.

Dr. Rahul Banerjee spoke about mental health support and injury prevention in sports. He talked about how team members can undergo various mental health issues like anxiety, depression, etc. due to the very nature of their team interactions. These mental health issues can lead to various injuries. Thus, these mental health issues must be detected, and help is provided at the earliest. Dr. Banerjee spoke about how the identification of these mental health issues can be tricky. Another major problem in literature is that of acceptance that these people need psychological help. Another aspect is the ethical part regarding privacy. The technical aspects of the problem are the classification of an individual as having some mental health issue using a global or local dataset. Dr. Banerjee spoke about how the importance of a local dataset cannot be underestimated. A problem is getting patterns of interest in unstructured data and identifying elements, which would create value. Intelligent systems use hardware and software to collect this data, For example, sensory elements connected by networking support. We need a continuous live data feed to help experts analyze the data and identify patterns. This is of paramount importance since the ability of sportspersons to respond quickly depends on both mental and physical fitness. Towards the end of the session, a question was asked by a faculty member. The question was to what extent technology can help mitigate social stigma when it comes to mental health issues. The speaker responded by saying that since stigma is a societal issue there is only so much that technology can do in this regard and human intervention is of paramount importance to address this issue. Overall, the sessions were very informative and enlightening.

Day 1: Keynote Session 2 (26th May 2022, 12:45 p.m. to 1:50 p.m.)

Dr. Pallavi Goel welcomed the speaker. The session was delivered by Dr. Ankit Agrawal, Research Professor, Northwestern University, USA. The topic of his talk was “AI + HPC” for Accelerating Science. Dr. Ankit Agrawal introduced the participants to the fundamental concepts of Artificial Intelligence, Deep Learning, and Material Informatics. He explained the concept of Deep Convolutional neural networks with transfer learning for computer vision examples. He shared some research work in big data analytics, made the session quite interactive and understandable, and motivated the attendees to work on the suggested problems. He mainly focused on AI + HPC for Accelerating Science.

Day 1 Session wise Summary Report

On the first day of the IEEE conference Com-IT-Con 2022, the technical paper presentation started at 2:00 p.m. with 69 papers across seven different tracks divided into ten sessions.

Day -1: Technical Session-1(26thth May 2022, 2:00 p.m.)-Online

Session Chair: Dr. Madhulika Bhatia, Associate Professor, Amity University

Session Co-Chair: Dr. Poonam Nandal, Professor, CSE FET, MRIIRS

Session Coordinator: Ms. Shefali Singhal, Assistant Professor, CSE FET, MRIIRS

The total number of papers presented was 7 and the different papers’ titles are :

1. Power Consumption and Hardware Utilization Recognition Models Through FPGA Approach for TrafficSigns 

2. Feature Store for Agile Machine Learning Model Development & Deployment in Wellness

3. Computational Model of Sir And Age-Dependent Epidemic Disease

4. The Fuzzy Analytic Hierarchy Process (Ahp) To Measure The Qualitative Weight Factor And Fuzzy Mcdm Methods For Ranking The Best Alternatives In Team Selection Process.

5. AI-enabled IoT-based multimodal authentication system for securing the hardware and software clients.

6. Email Spam Detection using Deep Learning Approach

7. Special Disease Prediction System Using Machine Learning

Day- 1: Technical Session 2( 26th May 2022,2:00 p.m.)-Online

Session Chair: Dr. Meenakshi, Associate Professor, Uttaranchal University

Session Co-Chair: Dr. Monika Garg, Assistant Professor, CSE, FET, MRIIRS

Session Coordinator: Dr. Kritika Soni, Assistant Professor, CSE, FET, MRIIRS

The total number of papers presented was 8 and the different papers’ titles are:

1. An Approach to Generate Music with LSTMN
2. AI-based Event Management Web Application
3. Diabetes Prediction Using Machine Learning Analytics
4. Expert System for Breast Cancer Prediction using Ensemble
5. Survey of Different Recommendation Systems to Improve the Marketing Strategies on E-commerce
6. Dengue Fever Prediction using Machine Learning Analytics
7. Leaf Disease Detection using Convolutional Neural Network
8. Sentiment analysis on tweets with deep learning and natural language processing.

Day 1: Technical Session 3( 26th May 2022,2:00 p.m.)-Online

Session Chair: Dr. Seema Rawat, Associate Professor, Amity University

Session Co-Chair: Dr. Deepa Bura, Associate Professor, CSE FET, MRIIRS

Session Coordinator: Ms. Srishty Jindal, Assistant Professor, CSE FET, MRIIRS

The total number of papers presented was 8 and the different papers’ titles are :

1. Transfer Learning Based Automated Crop Analysis

2. Smart Entry System Following Covid-19 Protocols

3. Web-Based Overflow Prediction System Using Ultrasonic Level Sensors and Expert System

4. Gradient Boosting Trees for Fault Identification In Water Distribution Networks

5. A Smart Healthcare System Based On Concatenation of Resnet50v2 And Xception Model For Detecting Pneumonia From Medical Images

6. 6. Health Insurance Cost Prediction Using Regression Models

7. A Review on Chum Prediction and Customer Segmentation Using Machine Learning

8. Discussing the Present, Past, and Future Of Machine Learning Techniques In Livestock Farming: A Systematic Literature Review

Session Day 1: Technical Session 4(26th May 2022,2:00 p.m.)-Online 

Session Chair: Dr. Prashant Johri, Professor, Galgotia University, and Dr. Priyanka, Associate Professor, NIT, Kurukshetra

Session Co-Chair: Dr. Shweta Mongia, Associate Professor, CSE FET, MRIIRS

Session Coordinator: Mr. Arko Bagchi, Assistant Professor, CSE FET, MRIIRS

The total number of papers presented was 7 and the different papers’ titles are :

1. The approach’s toward an AI-based recommender system
2. The importance of quantifying financial returns on information system (is) investment for organizations: an analysis
3. Artificial intelligence and smart cities: a bibliometric analysis
4. An enhanced methodology for diabetic foot thermogram classification using deep learning
5. Sentiment analysis of covid19 vaccines tweets using NLP machine learning classifiers
6. Classification of endoscopic images and identification of gastrointestinal diseases
7. Sentiment analysis on amazon product reviews

Day 1: Technical Session 5( 26th May 2022,2:00 p.m.)-Online

Session Chair: Dr. Shalini Bhaskar Ranjan, Professor & Head, Amity University

Session Co-Chair: Dr. Shobha Tyagi, Associate Professor, CSE FET, MRIIRS

Session Coordinator: Ms. Shobha Tyagi, Assistant Professor, CSE FET, MRIIRS

The total number of papers presented was 8 and the different papers’ titles are :

1. Leaf Disease Detection of multiple plants using Deep Learning

2. Sentiment Analysis of Twitter Data using TF-IDF and Machine Learning techniques

3. IMP_HIST-SI: An Improved Hybrid Satellite Imagery Segmentation Technique for reducing Error Rate using OTSU Thresholding

4. Comparative Study of Machine Learning Techniques for Intrusion Detection Systems

5. Customized Object Proposal Algorithm Based Traffic Sign Detection

6. Brain Tumor Classification using Deep Learning Convolutional Neural Network

7. Impact Of Social Media On Stock Market – A Case Of Sentiment Analysis Using Vader

8. Diagnosis of osteoporosis from X-ray Images using Automated Techniques.

Day 1: Technical Session 6( 26th May 2022,2:00 p.m.)-Online

Session Chair: Dr. Payal Gulati, Assistant Professor, J.C. Bose University of Science &

Technology, YMCA, Faridabad, India

Session Co-Chair: Dr. Rosy Madan, Associate professor, Manav Rachna International

University

Session Coordinator: Ms. Pronika Chawla, Assistant Professor, Manav Rachna International

University

The total number of papers presented was 7 and the different papers’ titles are:

1. A 2d Fast Deep Neural Network for Static Indian Sign Language Recognition

2. Text and Facial Features Recognition Using Machine Intelligence.

3. Land-Use Land-Cover Prediction from Satellite Images Using Machine Learning

Techniques.

4. Strategic Improvement In Malls For Customers By Using Machine Learning.

5. Visualization and Analysis of Populations.

6. Feature Ensemble Based Method for Verification of Offline Signature Images.

7. A Novel Smart Parking System Using IoT.

Day 1: Technical Session 7( 26th May 2022,2:00 p.m.)-Online 

Session Chair: Dr. Avneesh, Professor, Galgotia University Noida

Co-Session Chair: Dr. Tanvi Gupta, Assistant Professor, CSE FET, MRIIRS

Session Coordinator: Ms. Pinki Sagar, Assistant Professor, CSE FET, MRIIRS

The total number of papers presented was 6 and the different papers’ titles are:

1. Image Steganography using Encoder-Decoder Architectures

2. Comparative Analysis of Cloud Computing based Face Recognition Services

3. Security Enabled Framework to Access Information in Cloud Environment.

4. Adoption of IoT: in Healthcare, Daily Life, Businesses, Education during the Covid-19.

5. Trust Aware Multi-Objective Metaheuristics for Workflow Scheduling in Cloud Computing.

6. Mobile Application Deployment in Cloud

Day 1: Technical Session 8(26thth May 2022, 2:00 p.m.)-Online

Session Chair: Dr. Sherry Verma

Co-Session Chair: Dr. Prashant Dixit

Session Coordinator: Ms Priyanka Grover

The total number of papers presented was 8 and the different papers’ titles are:

1. Wind Power Deviation Charge Reduction Using Time Series Models
2. LSTM-GTCC based Approach for Audio Spoof Detection
3. Proposed methodology for Early Detection of Lung Cancer with low-dose CT Scan using Machine Learning
4. Comparison of Different Machine Learning Algorithms Based on IDS for Attack Detections
5. POTATO PLANT DISEASE CLASSIFICATION THROUGH DEEP LEARNING
6. Deep learning Based Yoga Pose Classification
7. Face-Mask Recognition and Detection Using Deep Learning
8. Anatomizing Text Without Training Dataset.

Day 1: Technical Session 9(26thth May 2022, 2:00 p.m.)-Offline

Session Chair: Dr. Poonam Chaudhary

Co-Session Chair: Dr. Charu Virmani

Session Coordinator: Dr. Ramesh C. Sahoo

The total number of papers presented was 5 and the different papers’ titles are:

1. Latent Dirichlet allocation-an approach for topic discovery.

 2. Reconnaissance of credentials through phishing attacks & its detection using machine learning.

 3. Challenges and issues in emergency efficient load balancing in a cloud computing environment.

 4. Role and analysis of various SEO strategies to improve website ranking.

 5. Role of zero-knowledge proof in blockchain security.

 6. Automated approach for disease detection using auscultation and machine learning.

Day 1: Technical Session 10( 26th May 2022,2:00 p.m.)-Offline

Session Chair: Dr. Meghna Sharma, Associate Professor, NCU

Co-Session Chair: Dr. Indu Kashyap, Professor, CSE FET, MRIIRS

Session Coordinator: Ms. Poonam Katyal, Assistant Professor, CSE FET, MRIIRS

The total number of papers presented was 5 and the different papers’ titles are:

1. Identification of Autism Spectrum Disorder (ASD) from facial expressions using deep learning

2. Twitter Sentiment Analysis of India vs Pakistan T20 World Cup match using SVM classifiers 

3. Survey of acceptability and the use of IoT for patient monitoring

4. Application of the genetic algorithm to optimize the Age-wise and Gender wise growth of the diabetes population in India.

5. An Improvised location aided routing protocol for a vehicular ad-hoc network using reinforced learning.

Day- 2

On the second day of the International conference Com-IT-Con 2022, the technical paper presentation started at 9:00 a.m. with 84 paper across seven different tracks divided into ten sessions.

Day 2: Technical Session -1( 27th May 2022,2:00 p.m.)-Online

Session Chair: Dr. Dolly

Co-Session Chair: Dr. Poonam Nandal

Session Coordinator: Ms. Shefali Singhal

The total number of papers presented was 9 and the different papers’ titles are:

1. A Machine Learning Classification Model for Process Waste Types Identification and Business Process Re-Engineering Automation
2. Artificial Empathetic Intelligence for Leadership in Energy and Environmental Design Buildings
3. Comprehensive Analysis of Parkinson Disease Prediction Using Vocal Parameters
4. Comparison between Multinomial Naïve Bayes and Multi-Layer Perceptron for Product Reviews in Real Time
5. Energy Efficient routing protocols for WSN in IOT: A Survey
6. Development Of AMES: Automated ML Expert System
7. An IOT Based Smart Home Security Prototype Using IFTTT Alert System
8. Lung Cancer Prediction: A Comparative Analysis of Classification Data Mining Algorithms
9. Facial Privacy Preservation using FGSM and Universal Perturbation attacks

Day 2: Technical Session- 2( 27th May 2022,9:00 a.m.)-Online 

Session Chair: Dr. C.Priya Associate Professor, Uttarakhand University

Session Co-Chair: Dr. Monika Garg, Associate professor, CSE FET, MRIIRS

Session Coordinator: Dr. Kritika Taneja,CSE FET, MRIIRS

The total number of papers presented was 8 and the different papers’ titles are:

1. Comparative Analysis of Machine learning techniques in effort information

2. Alexa Skills

3. Performance Evaluation of Security Challenges in IoT

4. Comparison Among ARIMA, ANN, and SVR Models for Wind Power Deviation Charge Reduction

5. A Systematic Approach For The Detection of Software Bug Using Catboost

6. Resnet fusion model for multi-class classification of chest X-Rays

7. Filter Based Feature Selection Anticipation of Automobile Price Prediction in Azure Machine Learning

8. Fake News Detection Using Machine Learning

Day 2: Technical Session- 3 ( 27th May 2022,9:00 a.m.)-Online 

Session Chair: Dr. Tanupriya

Session Co-Chair: Dr. Deepa Bura, Associate Professor, CSE FET, MRIIRS

Session Coordinator: Ms. Srishty Jindal, Assistant Professor, CSE FET, MRIIRS

The total number of papers presented was 9 and the different papers’ titles are:

1. GLOBAL WARMING
2. IOT BASED AGRICULTURE MONITORING USING NODE
3. Modified Ebola based image optimization algorithm for secure image transmission
4. A Generalized Result of Fixed Point in Fuzzy b-Metric Space
5. Plant Disease Detection Using Deep Learning
6. Machine Learning for Football Matches and Tournaments
7. Machine Learning Role in Cognitive Mental Health Analysis amid Covid-19 Crisis: A Critical
8. Study
9. Virtual Reality & Augmented Reality: A way to digital transformation of Customer Engagement

Day 2: Technical Session 4(27th May 2022, 9:00 a.m.)-Online 

Session Chair: Dr. Manju, Assistant Professor, Japyee

Session Co-Chair: Dr. Shweta Mongia, Associate Professor, CSE FET, MRIIRS

Session Coordinator: Mr. Arko Bagchi, Assistant Professor, CSE FET, MRIIRS

The total number of papers presented was 8 and the different papers’ titles are:

1. Detecting Audio Deepfake
2. Robust Classification of Traffic Signs using MRMR Feature ReductionTechnique
3. A Hybrid Approach to Tracking Criminal Investigation and Suspect Prediction
4. Analysis of Hybrid Wavelet Transformed Images to Improve Image PixelQuality
5. A Study of COVID-19 Impact on Environmental Health of Three MajorCountries
6. Role Of Artificial Intelligence in Jurisdiction and Law in COVID 19Pandemic
7. Anxiety and Depression Detection using Machine Learning
8. A Step Towards Improvement in Classical Honeypot Security System

Day 2: Technical Session- 5( 27th May 2022,9:00 a.m.)-Online 

Session Chair: Dr. Shalini Bhaskar Ranjan

Session Co-Chair: Dr. Shobha Tyagi

Session Coordinator: Ms. Shobha Tyagi

The total number of papers presented was 8 and the different papers’ titles are:

1. Blockchain Technology in Cryptocurrency: A Review

2. 5G The Stimulant to Digital Uprising in India

3. Identical and Tenable Course-plotting Approach for MANET with Acquitted

Assessment

4. Role of iot and blockchain in achieving a vision of metropolitan’s digital

transformation

5. Data security and protection: a mechanism for managing data theft and cybercrime in

online platforms of educational institutions

6. A Systematic Review to Evaluating Cyber Security Attacks in Smart Cities

7. Improved memory performance through the development of an energy-efficient

distributed memory management system

8. Swarm Intelligence Based Data Selection Mechanism for Reputation Generation in

Social Cloud

Day 2: Technical Session- 6 (27th May 2022,9:00 a.m.)-Online 

Session Chair: Dr. Supriya Raheja, Associate Professor, Amity University

Session Co-Chair: Dr. Rosy Madan, Associate professor, CSE FET, MRIIRS

Session Coordinator: Ms. Pronika Chawla, Assistant Professor, CSE FET, MRIIRS

The total number of papers presented was 8 and the different papers’ titles are:

1. The Different Papers Titles Are Feature Selection Techniques For Genomic Data

2. Effect of Ensembling Over K-Fold Cross-Validation With Weighted K-Nearest Neighbour For Classification In Medical Domain

3. A Path Forward For Automation In Robotic Process Automation Projects: Potential Process

Selection Strategies

4. Performance Testing of Aodv Using Channel Fading In Manets

5. Analyzing The Performance of Crossover Operators (Ox, Obx, Pbx, Mpx) To Solve Combinatorial Problems

6. Humanoid Robot In Healthcare: A Systematic Review And Future Research Directions

7. Comparative Study On Image Detection Using Variants Of Cnn And Yolo

8. Proposed Model For Document/Answer Extraction Using Machine Learning Techniques.

Day 2: Technical Session 7( 27th May 2022,09:00 a.m.-11:00 am) Online 

Session Chair: Dr. Latika Singh, Professor, Ansal University

Co-Session Chair: Dr. Tanvi Gupta, Assistant Professor, CSE FET, MRIIRS

Session Coordinator: MS. Pinki Sagar, Assistant Professor, CSE FET, MRIIRS

The total number of papers presented was 8 and the different papers’ titles are:

1. Enhancing Singular Value Decomposition-based seasonal adjustment with

selective inclusion of similar time series.

2. A Critical insight into the impact of technology in the transformation of tourist business into smart tourism.

3. Comprehensive Survey on Data science, Lifecycle, Tools and its Research Issues.

4. Deep learning techniques in gastric cancer prediction and diagnosis.

5. Modalities for Parkinson’s detection: An Insight.

6. A Review of Fault Detection and Diagnosis Protocols for WSNs.

7. Predicting daily PM2.5 using Classic Azure ML Studio.

8. Resume Classifier and Summarizer

Day 2: Technical Session 8( 27th May 2022,09:00 a.m.-11:00 am) Online 

Session Chair: Dr. Anish Gupta

Co-Session Chair: Dr. Prashant Dixit, Assistant Professor, CSE FET, MRIIRS

Session Coordinator: Ms. Priyanka Grover, Assistant Professor, CSE FET, MRIIRS

The total number of papers presented was 8 and the different papers’ titles are:

1. Digital Transformation through APIs
2. Prevalence of GitOps, DevOps in Fast CI/CD Cycles
3. Blockchain and cloud computing – A Review
4. Blockchain Technology: A case study of its Decentralized Use
5. Writer-Independent Offline Signature Verification using LBP and NN
6. User Knowledge Modelling Through Azure Machine Learning Studio
7. Threshold based Dynamic Resource Balancing (TDRB) algorithm in Cloud Computing
8. AES-Hash: Secure Data Sharing on Edge Servers using Optimized Cache Utilization

Day 2: Technical Session- 9 ( 27th May 2022,9:00 p.m.)-Offline Mode

Session Chair: Dr. Seema Verma, Professor, Delhi Technical Campus, Greater Noida

Co-Session Chair: Dr. Charu Pujara, Professor, MRIIRS

Session Coordinator: Ms. Simple Sharma, Associate Professor, MRIIRS

The total number of papers presented was 7 and the different papers’ titles are:

1. STADS: Security Threats Assessment and Diagnostic System in Software Defined Networking (SDN)

2. A Comparison of Machine Learning Algorithms in Predicting Pulmonary Diseases

3. Comparative Study of Location-Based Routing Protocols For MANETs

4. Computation of new routes created by adding Artificial Sensors in Wireless Sensor

Network

5. Risk Management by Grid Computing in AWS

6. AI-Based Examination System: A Paradigm Shift in Education Sector

7. Comparative Analysis of Various Load Balancing Techniques in Cloud Environment

Day 2:Technical Session- 10( 27th May 2022,9:00 a.m.)-Offline Mode

Session Chair: Dr. Vasudha Arora

Co-Session Chair: Dr. Indu Kashyap

Session Coordinator: Ms. Poonam Katyal

The total number of papers presented was 11 and the different papers’ titles are:

1. Efficient hybrid Technique for Devanagri Numericals Recognition.

2. Dynamic Model to predict the flattening of the covid-19 outbreak curve in India.

3. Data mining concepts in health care with discussion on prediction of diseases.

4. Web Service Composition Based on Meta-heuristics.

5. Eye Blink detection for drowsy drivers.

6. Machine Learning techniques toward efficient occupancy detection for industrial

urban spaces.

7. Correlation of Language Processing and Learning Techniques for Legal Support

System.

8. Traffic congestion Control System Using Machine Learning.

9. Magnetic Dipole Moment Estimation from Nearfield Measurements Using Stochastic

Gradient Descent AI Model.

10. Sentimental Analysis of Movie Reviews using Machine Learning Algorithm

11. Ethical Hacking: A Technique to Enhance Information Security.

Day-2: Keynote Session 1(27th May 2022, 11:30 am to 12:15 pm)

Keynote Session 1 started at 11:30 am. Ms. Rachna Behl welcomed the speaker. The session was delivered by Professor Arun K. Pujari, Professor Emeritus, and Advisor, Mahindra University, Hyderabad. He talked about ‘Computing in Data Intensive Society”.

Dr. Arun K. Pujari discussed the digital upheavals that society has undergone, focusing on the importance of Big Data as an emerging study topic for societal benefit. He cited examples from Ola and Uber, as well as the Delhi Police Department, of how they used Face Recognition Systems, Progressive Machine Learning, and Predictive Modeling to identify crime in a given area, among other things, and emphasized the importance of advanced algorithms in digital transformation.

It was a great experience for all the researchers and participants who were in attendance. The expert talk was hereby concluded with felicitating the esteemed speaker with memento as a token of honor, followed by a vote of thanks.

Day-2: Keynote Session 2(27 May 2022, 12:15 pm to 1:00 pm)

The “IEEE International Conference on Machine Learning, Big Data, Cloud and Parallel Computing” included an Expert Talk held on the 27^th of April 2022 from 11.30 am onwards. The talk was graced by honorable speaker Col. Inderjeet Singh, Chief Cyber Officer. He was welcomed by Ms Meghna Luthra. He commenced with talking about the vast and yet to be explored Meta-verse. He focused on the various aspects of Meta-verse and how Meta-verse is a digital realm that combines aspects of digital and physical world like a virtual world or augmented reality.

He mentioned that the Metaverse is considered a next evolution of the internet. It will take many forms, including gaming, online communities and business meetings where people collaborate via a digital facsimile or avatar of themselves. He concluded his talk by discussing the future of Meta-verse and took some questions from the audience and talked about radiations from headsets.

It was a great experience for all the students and participants who were in attendance. The expert talk was hereby concluded with felicitating the esteemed speaker with memento as a token of honor, followed by a vote of thanks.

Day-2: Keynote Session 3(27 May 2022, 2:00 pm to 2:45 pm)

Keynote Session 3 started at 2:10 pm on 2^nd day of IEEE conference on Big Data, Machine Learning and Cloud & Parallel computing- Trends, Perspectives and Prospects. Ms. Meghna Luthra welcomed the speaker. The session was delivered by Dr. Bharat Rawal, Professor & Department Chair, Capitol Technology University, USA. He talked about ‘Security and Privacy in Split Protocol”.

Bharat Rawal talked on some stringent critical parameters about security like “Everybody’s on the Internet, Everybody has the same access and there is no privacy actually. So what is the security of your data?”  There are people who can prove the ownership of your data whatever you built.  Another reason for security breach is because of globalizations and mainly the systems are open. Dr. Rawal talked in length about the architecture of split protocol, how it works and its open secrets, patching holes and new holes can be created. Security breach has been a problem everywhere and all energy, resources and money are spent on this single issue. Security problems are inherent in our current designs and internet. 

Dr Rawal also suggested solutions to these security issues through application centric software ownership, not environment sensitive, App-App communication, No middleware, No OS and applying Green computing instead of dumping.

It was a truly great experience for all the researchers and participants who were in attendance offline and online. The expert talk was hereby concluded with felicitating the esteemed speaker with memento as a token of honor, followed by a vote of thanks.

Valedictory Session started at 2:00 p.m. in presence of Dr. Geeta Nijhawan, Associate Dean, FET, MRIIRS, Dr. Supriya P. Panda(Conference Chair), Head Dept. of CSE, Dr. Suresh Kumar (Convener) Professor, CSE, FET, Dr. Indu Kashyap(Co-Convener), Professor, CSE, FET, Dr. Poonam Tanwar(Organizing Secretary), Professor CSE, FET, Dr. Madhumita Kathuria (Organizing Secretary), Associate Professor CSE, FET, Dr. Leena G, Head, EEE, FET, MRIIRS. The brief report of the two days of the International Conference co-sponsored by IEEE was presented by Dr. Charu Pujara, Professor, CSE. The Prize distribution ceremony was performed in the presence of PVC-Dean-FET & FAD, Dr. Pardeep Kumar, Dr. Geeta Nijhawan, Associate Dean, FET, MRIIRS. Best paper award was presented to ANJALY S MENON, SRUTHI C J, DR. LIJIYA A for “A 2D Fast Deep Neural Network for Static Indian Sign Language Recognition”.

Dr. Suresh Kumar, Professor, CSE presented a vote of thanks to the Hon’ble Chief Guest of the event, Guest of Honor, esteemed speakers, Session members, all sponsors, participants, senior members, faculty members and student coordinators, press media, system department, and management for their kind support and making the event grand success. The event was appreciated by all the delegates and participants and advised to host such events in the future. The event ended with the playing of the National Anthem.