I am fascinated by a wide variety of problems concerning computer security, biomedical informatics, natural language processing, image processing and developing Artificial intelligence based solutions.
I am a Postdoctoral research fellow in Cincinnati Children’s Hospital Medical Center, at University of Cincinnati. I am with the Jegga Research Lab in Biomedical Informatics, working in the area of artificial intelligence, machine learning, deep learning, and natural language processing for disease gene discovery/prioritization, drug discovery, and drug repositioning. My work includes researching, developing and implementing novel computational and machine learning algorithms and applications for big data integration and data mining.
I have a Ph.D. from Amrita Vishwa Vidyapeetham and was with Cybersecurity-Lab-at-CEN, advised by Professor, Soman KP. My thesis is on DEEP LEARNING APPROACHES TO DETECT ADVANCED CYBER ATTACKS, Artificial intelligence and most specifically, Machine Learning, Data mining, Deep learning, Big Data Analytics, Natural language processing, Signal and Image processing and Causal inference for Cyber Security. My publications are available on my Google Scholar page and my open source contributions can be found on my Github profile. During the Ph.D. work, I have worked on various Cyber Security problems such as intrusion detection, malware detection, ransomware detection, DGA analysis, network traffic analysis, botnet detection, spam and phishing detection in email and URL, image spam detection, and spoofing detection.
I have a MCA (Master of Computer Application) Amrita Vishwa Vidyapeetham and was with ComputationalThinking-Lab-at-CEN, advised by Professor, Soman KP. My thesis is on SCRATCH FOR INDIAN K-12 EDUCATION, deals with the importance of Computational Thinking. Computational thinking is an essential skill-set for everyone in 21st century. There are many attempts made by K-12 researcher to impart computational thinking into K-12 education. Block-based programming approach is a successfull method and I have worked on developing cloud-based block-based programming languages for Indian schools as well as development of tutorials with documentation in Indian local languages. I have done open source contribution to the scratch community. We have developed many computational thinking tools and published related papers. The details of the software and papers is avilable here.
I have organized a shared task on “Detecting Malicious Domain names” in Cyber security domain. More details avilable at DMD2018. We have made the data set and baseline system publically avilable for further research. I strongly believe in open science and reproducible research and actively publish code on my Github profile. This lead me to involve in developing AmritaDGA data set for botnet detection, object detection, deep learning based engine for plastic and non-plastic seggregation and data sets for sentimental ananlysis Amrita-CEN-SentiDB, Amrita-CEN-SentiDB1
| Sep 2019 | Joined as Postdoctoral Research Fellow in Jegga Research Lab, Cincinnati Children's Hospital Medical Center. |
| 02 Feb 2020 | Our work on A Visualized Botnet Detection System based Deep Learning for the Internet of Things Networks of Smart Cities has been accepted by IEEE Transactions on Industry Applications. The preprint and the code will be available soon. |
| 17 Feb 2020 | Our paper Multi-scale Learning based Malware Variant Detection using Spatial Pyramid Pooling Network has been accepted by INFOCOM 2020 WKSHPS BigSecurity. The preprint and the code will be available soon. |
| 18 Feb 2020 | Program committee member for Track 3: Privacy Track, IEEE TrustCom, 2020 |
| 18 Feb 2020 | program co-chair for IEEE SmartData-2020 |
| 19 Feb 2020 | Our paper A Deep learning Approach for Botnet Detection in the Internet of Things Networks of Smart Cities has been accepted by INFOCOM 2020 DDINS. The preprint and the code will be available soon. |
| 19 Feb 2020 | Submitted a paper Deep Learning Based Two-Level (DLTL) integrated Data Analysis Framework for validating DNS spoofing and mitigating homoglyphs attacks into IEEE Transaction on Engineering Management |
| 22 Apr 2020 | Submitted a paper Deep Learning for Cyber Security Applications: A Comprehensive Survey into IEEE Communications Surveys and Tutorials |
Application of Data mining, Machine learning (including Deep learning), Natural language processing and Image processing for Cyber Security
Disease Gene Discovery/Prioritization, Drug discovery and Drug repositioning
Big Security Data Analytics
Natural Language Processing and Text Analytics
Computational Thinking and Block based Programming
Cyber Threat Situational Awareness Data Analysis- DNS logs, Spam and Phishing URL and Email, Social media security related data
Malware, Intrusion, Anamoly and Fraud Detection
Internet Traffic Analysis
Adversarial Machine Learning for Cyber Security
Application of data mining, Machine learning (including Deep learning), Natural language processing and Image processing for Program Analysis
| Aug 2015 - June 2019 |
Ph.D. in Computer Science
Amrita Vishwa Vidyapeetham, Coimbatore |
| June 2011 - May 2014 |
Masters of Computer Application (MCA)
Amrita Vishwa Vidyapeetham, Mysore |
| June 2008 - May 2011 |
Bachelor of Computer Application (BCA)
JSS College, Mysore |
| Sep 2019 - present |
Postdoctoral research fellow, Jegga Research lab Disease Gene Discovery/Prioritization, Drug discovery and Drug repositioning: researching, developing and implementing novel computational and machine learning algorithms and applications for big data integration and data mining |
| July 19, 2019 - July 26, 2019 |
Machine learning Summer School (MLSS) participant, MLSS 2019, London Lectures and Tutorials on Deep Learning, Optimization, Variational Inference, Reinforcement Learning, Interpretability, Gaussian Processes, Kernels, Markov chain Monte Carlo, AI for Good, Approximate Bayesian Computation, Fairness and Ethics in AI, Speech Processing, Learning Theory, Machine Learning in Computational Biology, and Submodularity |
| Aug 2015 - Aug 2019 |
Research Associate, Prof. Soman KP Data mining, Machine learning, Deep learning, Cyber Security, Natural language processing |
| Jun 2014 - Jul 2015 |
Research Assistant, Prof. Soman KP Block-based programming development for Indian K-12 Schools |
| Feb 2017 | Visiting Research Intern, Lakhshya Cyber Security Labs |
| CN733 | Neural Network and Deep Learning, (May 2017 - Nov 2017), TA |
| 16CN701 | Computational Methods for Cryptography, (May 2017 - Nov 2017), TA |
| 16CN703 | Deep learning for visual recognition, (Dec 2017 - May 2018), TA |
| 16CN701 | Computational Methods for Cryptography, (May 2018 - Nov 2018), TA |
| 16CN703 | Deep learning for visual recognition, (Dec 2018 - Apr 2019), TA |
| Reviewer |
ICACCI 2018, DMD 2018, IWSPA-AP 2018, ICIT 2019, ICT Express , Security and Communication Networks , SCML2020 |
| Program Chair | |
| Editorial Board Member |
JIEC , May 2019 - present |
| Technical Program Committee |
ICCSCT 2020 , MIC-Multimedia 2020 , MIC-Finance 2020 , MIC-Security 2020 , MIC-Cognitive 2020 , CSI2020 , Book: Internet of Things and Secure Smart Environments: Success and Pitfalls, CRC Press , MIC-InfoTech 2020 , IEEE TrustCom, 2020 , IEEE STP-CPS, 2020 , IEEE Big Data, 2020 , IEEE SP-DLT, 2020 |
| Admissions |
CEN, 2016 |
| Languages |
C, C++, Java, Scala, Python, Basics of R, Basics of Julia |
| Web development |
Html, CSS, JavaScript, JSON, JQuery, Php, Bootstrap, XML, Jsp |
| Educational Platforms |
MIT Scratch, Snap Berkley, BYOB, Scribble, Beetle Blocks |
| Frameworks |
Spark Mllib, Apache Mahout, XG-boost, Scikit-learn, Dato, Hpelm, Gurls, LibSVM, TensorFlow, Theano, Keras, Deeplearning4j, PyTorch, Basics of Caffe, DeepChem, DragoNN, Hadoop, Apache Spark, Weka and Matlab, Tetrad, Pcalg, NumPy, Pandas, SciPy, spaCy |
| Database |
MySQL, Introduction to Oracle, Apache Cassandra |
| Documentation Tool |
LibreOffice, Microsoft Office, and Latex |
Named Entity rEcognition and Linking (#Micropost2015 NEEL): Named Entity Recognition and Linking.
International Cybersecurity Data Mining Competition CDMC 2016.
VarDial 2017 - Fourth Workshop on NLP for Similar Languages, Varieties, and Dialects.
Stance and Gender Detection in Tweets on Catalan Independence@Ibereval 2017.
WASSA-2017 Emotion Intensity Task.
DEFT 2017 Text Search @ TALN / RECITAL 2017 Opinion analysis and figurative language in tweets in French.
International Cybersecurity Data Mining Competition CDMC 2017.
2nd Social Media Mining for Health Applications Shared Task at AMIA 2017.
International Cybersecurity Data Mining Competition CDMC 2018.
Saturday, October 28, 2017 - AISec 2017: Modern Artificial Intelligence (AI) and Natural Language Processing (NLP) Techniques for Cyber Security.
Saturday, December 16, 2017 - Blockchain 2017: Blockchain and Machine Learning.
Saturday, November 11, 2017 - DeepSci 2017: Deep Learning for Healthcare and Financial Data Analytics.
December 22-24, 2017 - DeepChem 2017: Deep Learning & NLP for Computational Chemistry, Biology & Nano-materials.
November 25-27, 2017 - A Refresher experiential course on linear algebra and Optimization for Most Modern Signal processing and pattern classification
May 21, June 4, 2018 - Summer course on AI and Data science
September 22-23, 2018 - A Workshop for Engineers
October 14, 2018 - Artificial Intelligence and Data science for Cyber security
December 23, 2018 - Malware data analytics with Deep learning
Title Two day Workshop on Machine Learning – Hands on with Python/Matlab, Knowledge Resource Centre(KRC) ,C-DAC Centre @ Thiruvananthapuram. More details avilable Workshop on Machine Learning
Title: A workshop on Application of machine learning for cyber security. More details avilable MLC18
Title: A workshop on AI in CS - Modern Artificial Intelligence Techniques for Cyber Security. More details avilable AI in CS
Title: Deep Learning in IEEE (3451) at Kalasalingam Academy of Research and Education, Virudhunagar, Saturday, 3 February 2018. [ Tutorial]
Title: Deep Learning for Bio-medical Applications in ICMR sponsored Faculty Development Program (FDP) at Mepco Schlenk Engineering College, Sivakasi, Wednesday, 17 January 2018. [ Tutorial]
Title: Deep Learning for Bio-medical Applications in TEQUIP sponsored Faculty Development Program (FDP) at TKM College of Engineering, Kollam, 14 December 2017. [ Tutorial]
Title: Deep Learning for Cyber Security use cases in Bharathiar University at the University conference hall on 21/11/17.
Title: Deep Learning for Chemistry in DeepChem 2017: Deep Learning & NLP for Computational Chemistry, Biology & Nano-materials, Conducted by the Department of Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, December 22-24, 2017. [ Tutorial]
Title: Deep learning for Healthcare and financial data analytics in DeepSci 2017 Workshop: Deep Learning for Healthcare and Financial Data Analytics, Conducted by the Department of Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Saturday, December 16, 2017. [ Tutorial]
Title: Deep Learning for Blockchain in Blockchain 2017 Workshop: Blockchain and Machine Learning, Conducted by the Department of Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Saturday, December 16, 2017. [ Tutorial]
Title: Deep Learning for Cyber Security use cases in AISec 2017 Workshop: Modern Artificial Intelligence (AI) and Natural Language Processing (NLP) Techniques for Cyber Security, Conducted by the Department of Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Saturday, October 28, 2017. [ Tutorial]
Title: Deep learning for Cyber Security In Deep learning Workshop organized by Amrita University, Coimbatore. [ Tutorial]
Demo on LSTM based Android Malware classification in TEQIP II sponsored research workshop on deep learning, PSG Tech, Coimbatore. [ Tutorial]
|
Scalable Framework for Cyber Threat Situational Awareness based on Domain Name Systems Data Analysis Vinayakumar R, Prabaharan Poornachandran and Soman KP Big data in Engineering Applications Springer [chapter] |
|
A deep-dive on Machine learning for Cybersecurity use cases Vinayakumar R, Soman KP, Prabaharan Poornachandran and Pradeep Menon Machine Learning for Computer and Cyber Security: Principle, Algorithms, and Practices, CRC Press [chapter] |
|
AmritaDGA: A Comprehensive Data set for Domain Generation Algorithms (DGAs) Vinayakumar R, Soman KP, Prabaharan Poornachandran, Mamoun Alazab, Sabu M. Thampi Big Data Recommender Systems: Recent Trends and Advances, IET [chapter] |
|
DBD: Deep Learning DGA-Based Botnet Detection Vinayakumar R, Soman KP, Prabaharan Poornachandran, Mamoun Alazab, and Alireza Jolfaei Deep Learning Applications for Cyber Security, Springer [chapter] |
|
Enhanced Domain Generating Algorithm Detection based on Deep neural networks Amara Kumar, Harish Thodupunoori, Vinayakumar R, Soman KP, Prabaharan Poornachandran, Mamoun Alazab and Sitalakshmi Venkatraman Deep Learning Applications for Cyber Security, Springer [chapter] |
|
Deep learning Framework for Cyber Threat Situational Awareness based on Email and URL Data Analysis Vinayakumar R, Soman kp, Prabaharan poornachandran, Akarsh S, and Mohamed Elhoseny Cybersecurity and Secure Information Systems, Springer [chapter] |
|
Application of Deep Learning Architectures for Cyber security Vinayakumar R, Soman kp, Prabaharan poornachandran, and Akarsh S Cybersecurity and Secure Information Systems, Springer [chapter] |
|
Improved DGA Domain Detection and Categorization using Deep learning Architectures with Classical Machine learning Algorithms Vinayakumar R, Soman kp, Prabaharan poornachandran, Akarsh S, and Mohamed Elhoseny Cybersecurity and Secure Information Systems, Springer [chapter] |
|
Time Split based pre-processing for Malicious URL Detection Harikrishnan NB, Vinayakumar R, and Soman Kp Cybersecurity and Secure Information Systems, Springer [chapter] |
|
A Deep Learning Approach for Patch Based Disease Diagnosis from Microscopic Images Anson simon, Vinayakumar R, Sowmya V, Soman KP and Gopalakrishnan EA Elsevier [chapter] |
|
Deep Segregation of Plastic (DSP): Segregation of Plastic and Nonplastic Using Deep Learning Sreelakshmi K, Vinayakumar R and Soman KP Big Data Recommender Systems: Recent Trends and Advances, IET [chapter] |
|
Deep learning architecture for big data analytics in detecting intrusions and malicious URL Harikrishnan NB, Vinayakumar R, Soman KP, Annappa B, and Mamoun Alazab Big Data Recommender Systems: Recent Trends and Advances, IET [chapter] |
|
DeepDGA-MINet: Cost-Sensitive Deep Learning Based Framework for Handling Multiclass Imbalanced DGA Detection R Vinayakumar, KP Soman, P Poornachandran Handbook of Computer Networks and Cyber Security, Springer [chapter] |
|
Diabetes Detection Using ECG Signals: An Overview G Swapna, Soman KP, and Vinayakumar R Deep Learning Techniques for Biomedical and Health Informatics, Springer [chapter] |
|
Detecting Android malware using long short-term memory (LSTM) Vinayakumar R, Soman KP, Prabaharan Poornachandran and Sachin Kumar S Journal of Intelligent and Fuzzy Systems - IOS Press [paper] |
|
Evaluating Deep Learning Approaches to Characterize and Classify the DGAs at Scale Vinayakumar R, Soman KP, Prabaharan Poornachandran and Sachin Kumar S Journal of Intelligent and Fuzzy Systems - IOS Press [paper] |
|
Evaluating Deep learning Approaches to Characterize, Signalize and Classify malicious URLs Vinayakumar R, Soman KP and Prabaharan Poornachandran Journal of Intelligent and Fuzzy Systems - IOS Press [paper] |
|
Detecting Malicious Domain Names using Deep Learning Approaches at Scale Vinayakumar R, Soman KP and Prabaharan Poornachandran Journal of Intelligent and Fuzzy Systems - IOS Press [paper] |
|
Evaluation of Recurrent Neural Network and its Variants for Intrusion Detection System (IDS) R Vinayakumar, KP Soman, Prabaharan Poornachandran International Journal of Information System Modeling and Design (IJISMD) [paper] |
|
A Comparative Analysis of Deep learning Approaches for Network Intrusion Detection Systems (N-IDSs) R Vinayakumar, KP Soman, Prabaharan Poornachandran International Journal of Digital Crime and Forensics (IJDCF) [paper] |
|
ScaleNet: Scalable and Hybrid Framework for Cyber Threat Situational Awareness Based on DNS, URL, and Email Data Analysis R Vinayakumar, KP Soman, Prabaharan Poornachandran, Vysakh S Mohan, Amara Dinesh Kumar Journal of Cyber Security and Mobility [paper] |
|
DeepMalNet: Evaluating shallow and deep networks for static PE malware detection R Vinayakumar, KP Soman ICT Express [paper] |
|
Robust Intelligent Malware Detection Using Deep Learning R Vinayakumar, Mamoun Alazab, KP Soman, Prabaharan Poornachandran, Sitalakshmi Venkatraman IEEE Access [paper] |
|
Deep Learning Approach for Intelligent Intrusion Detection System R Vinayakumar, Mamoun Alazab, KP Soman, Prabaharan Poornachandran, Ameer Al-Nemrat, Sitalakshmi Venkatraman IEEE Access [paper] |
|
A hybrid deep learning image-based analysis for effective malware detection Sitalakshmi Venkatraman, Mamoun Alazab, R Vinayakumar Journal of Information Security and Applications - Elsevier [paper] |
|
Diabetes detection using deep learning algorithms Swapna G, R Vinayakumar, KP Soman ICT Express [paper] |
|
Deep Rectified System for High-speed Tracking in Images Vysakh S Mohan, Vinayakumar R, Sowmya V [paper] |
|
Shallow CNN with LSTM Layer for Tuberculosis Detection in Microscopic Images Anson Simon, Vinayakumar R, Sowmya V and Soman K P [paper] |
|
Evaluating Shallow and Deep Networks for Secure Shell (SSH) Traffic Analysis Vinayakumar R, Soman KP and Prabaharan Poornachandran [paper] [slides] |
|
Evaluating Effectiveness of Shallow and Deep Networks to Intrusion Detection System Vinayakumar R, Soman KP and Prabaharan Poornachandran [paper] [slides] |
|
Deep Android Malware Detection and Classification Vinayakumar R, Soman KP and Prabaharan Poornachandran [paper] [slides] |
|
Long Short-Term Memory based Operation Log Anomaly Detection Vinayakumar R, Soman KP and Prabaharan Poornachandran [paper] [slides] |
|
Deep Encrypted Text Categorization Vinayakumar R, Soman KP and Prabaharan Poornachandran [paper] [slides] |
|
Applying Convolutional Neural Network for Network Intrusion Detection Vinayakumar R, Soman KP and Prabaharan Poornachandran [paper] [slides] |
|
Secure Shell (SSH) Traffic Analysis with Flow based Features Using Shallow and Deep networks Vinayakumar R, Soman KP and Prabaharan Poornachandran [paper] [slides] |
|
Applying Deep Learning Approaches for Network Traffic Prediction Vinayakumar R, Soman KP and Prabaharan Poornachandran [paper] [slides] |
|
Evaluating Shallow and Deep Networks for Ransomware Detection and Classification Vinayakumar R, Soman KP, K.K.Senthil Velan and Shaunak Ganorkar [paper] [slides] |
|
Instantaneous Heart Rate as a Robust Feature for Sleep Apnea Severity Detection using Deep Learning Rahul K. Pathinarupothi, Vinaykumar R, Ekanath Rangan, Gopalakrishnan E., and Soman K. P. [paper] [slides] |
|
Single Sensor Techniques for Sleep Apnea Diagnosis using Deep Learning Rahul K. Pathinarupothi, Dhara Prathap J., Ekanath Rangan, Gopalakrishnan E., Vinaykumar R, and Soman K. P. [paper] |
|
Real-time Detection of Atrial Fibrillation from Short time single lead ECG traces using Recurrent neural networks Sujadevi VG., Soman KP., and Vinayakumar R Intelligent Systems Technologies and Applications (ISTA'17), Springer [paper] |
|
Anomaly detection in Phonocardiogram employing Deep learning Sujadevi VG., Soman KP., Vinayakumar R and Prem Sankar AU. 4th International Conference on Computational Intelligence in Data Mining (ICCIDM-2017), Springer [paper] |
|
Deep models for Phonocardiography (PCG) classification Sujadevi VG., Soman KP., Vinayakumar R and Prem Sankar AU. [paper] |
|
Stock Price Prediction Using LSTM, RNN And CNN-Sliding Window Model Sreelekshmy Selvin., Vinayakumar R, Gopalakrishnan E., Vijay Krishna Menon., Soman K.P., 6th International Conference on Advances in Computing, Communications and Informatics (ICACCI2017) [paper] |
|
AMRITA-CEN@SAIL2015: Sentiment analysis in Indian languages Shriya Se, Vinayakumar, R., Anand Kumar M., and Soman K.P. MIKE 2015 Proceedings of the Third International Conference on Mining Intelligence and Knowledge Exploration, Springer [paper] |
|
Predicting the Sentimental Reviews in Tamil Movie using Machine Learning Algorithms Shriya Se, Vinayakumar R, Anand Kumar M., and Soman K.P. Indian Journal of Science and Technology (IJST) [paper] |
|
Deep Power: Deep Learning Architectures for Power Quality Disturbances Classification Neethu Mohan, Soman K.P, and Vinayakumar R [paper] |
|
S.P.O.O.F Net: Syntactic Patterns for identification of Ominous Online Factors Vysakh S Mohan, Vinayakumar R, Soman KP and Prabaharan Poornachandran [paper] |
|
Automated detection of cardiac arrhythmia using deep learning techniques Swapna G, Soman KP and Vinayakumar R [paper] |
|
Diabetes: Automated detection of diabetes using CNN and CNN-LSTM network and heart rate signals Swapna G, Soman KP and Vinayakumar R [paper] |
|
Deep Learning Models for the Prediction of Rainfall Aswin S, Geetha P and Vinayakumar R [paper] |
|
Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security Vigneswaran K Rahul, R Vinayakumar, KP Soman, Prabaharan Poornachandran [paper] |
|
Alg-Design: facilitates to learn Algorithmic thinking for beginners Vinayakumar R, Soman KP and Pradeep Menon [paper] |
|
CT-Blocks Analyser: Analysing CT-Blocks Projects Vinayakumar R, Soman KP and Pradeep Menon [paper] |
|
Digital Storytelling Using Scratch: Engaging Children Towards Digital Storytelling Vinayakumar R, Soman KP and Pradeep Menon [paper] |
|
Fractal Geometry: Enhancing Computational Thinking with MIT Scratch Vinayakumar R, Soman KP and Pradeep Menon [paper] |
|
DB-Learn: Studying Relational Algebra Concepts by Snapping Blocks Vinayakumar R, Soman KP and Pradeep Menon [paper] |
|
Map-Blocks: Playing with Online Data and Infuse to Think in a Computational Way Vinayakumar R, Soman KP and Pradeep Menon [paper] |
|
CT-Blocks: Learning Computational Thinking by Snapping Blocks Vinayakumar R, Soman KP and Pradeep Menon [paper] |
|
Building-Blocks: Generating 3D Design by Snapping Blocks Vinayakumar R, Soman KP and Pradeep Menon [paper] |
|
Predicting Market Prices Using Deep Learning Techniques Dileep G Menon Nishanth C P, Dr. V K Gopal, Vinayakumar R, Lakshmi Nambiar [paper] |
|
Deep neural network for phonocardiogram signal classification Mohammed Harun Babu R, Sai Bhanuja B, Vinayakumar R, Sowmya V [paper] |
|
Performance comparision of machine learning algorithms for malaria detection using micrscopic images Naren Babu R, Saiprasath G, Arunpriyan J, Vinayakumar R, Sowmya V and Soman K P [paper] |
|
Capsule Neural Networks and Visualization for Segregation of Plastic andNon-Plastic Wastes Sreelakshmi K, Akarsh S, Vinayakumar R and Soman KP Best paper award in 2019 International Conference on Advanced Computing & Communication Systems (ICACCS) [paper] |
|
Ranosmware Triage Using Deep Learning: Twitter as a Case Study Vinayakumar R, Mamoun Alazab, Alireza Jolfaei, Soman KP, and Prabaharan Poornachandran [paper] |
|
Cost-Sensitive Long Short-term Memory for Imbalanced DGA Family Categorization Mohammed Harun Babu, Vinayakumar R and Soman K P In Press |
|
Amrita-CEN-SentiDB:Twitter Dataset for Sentimental Analysis and Application of Classical Machine Learning and Deep Learning Naveenkumar K S, Vinayakumar R, Soman KP In Press |
|
Amrita-CEN-SentiDB1:Improved Twitter Dataset for Sentimental Analysis and Application of Deep learning Naveenkumar K S, Vinayakumar R, Soman KP [paper] |
|
Capsule Network for Plant Disease and Plant Species Classification Vimal Kurup, MA Anupama, R Vinayakumar, V Sowmya, KP Soman [paper] |
|
Convolutional Neural Networks for Fingerprint Liveness Detection System Arun Kumar T K, Vinayakumar R, Sajith Variyar V V, Sowmya V and Soman K P [paper] |
|
DeepAnti-PhishNet: Applying Deep Neural Networks for Phishing Email Detection Vinayakumar R, Barathi Ganesh HB, Anand Kumar M, Soman KP, Prabaharan Poornachandran [paper] |
|
ARES: Automatic Rogue Email Spotter Vysakh S Mohan, JR Naveen, R Vinayakumar, KP Soman [paper] |
|
Distributed Representation using Target Classes: Bag of Tricks for Security and Privacy Analytics Barathi Ganesh HB, Vinayakumar R, Anand Kumar M, Soman KP [paper] |
|
PED-ML: Phishing Email Detection Using Classical Machine Learning Techniques Anu Vazhayil, NB Harikrishnan, R Vinayakumar, KP Soman [paper] |
|
A Machine Learning approach towards Phishing Email Detection NB Harikrishnan, R Vinayakumar, KP Soman [paper] |
|
Deep Learning Based Phishing E-mail Detection M Hiransha, Nidhin A Unnithan, R Vinayakumar, KP Soman [paper] |
|
Machine Learning Based Phishing E-mail detection Nidhin A Unnithan, NB Harikrishnan, S Akarsh, R Vinayakumar, KP Soman [paper] |
|
Detecting Phishing E-mail using Machine learning techniques Nidhin A Unnithan, NB Harikrishnan, R Vinayakumar, KP Soman, Sai Sundarakrishna [paper] |
|
NLP CEN AMRITA@ SMM4H: Health Care Text Classification through Class Embeddings Barathi Ganesh Hullathy Balakrishnan, Anand Kumar Madasamy Vinayakumar, Soman Kotti Padannayil [paper] |
|
Amrita-cen@ neel: Identification and linking of twitter entities HB Barathi Ganesh, N Abinaya, M Anand Kumar, R Vinayakumar, KP Soman [paper] |
|
deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets Vinayakumar R and Premjith B and Sachin Kumar S and Soman K P [paper] |
|
Deep Stance and Gender Detection in Tweets on Catalan Independence@ Ibereval 2017 Vinayakumar R, Sachin Kumar S, Premjith B, Prabaharan P, and Soman KP [paper] |
|
DEFT 2017-Texts Search@ TALN/RECITAL 2017: Deep Analysis of Opinion and Figurative language on Tweets in French R Vinayakumar, Sachin Kumar, B Premjith, P Prabaharan, KP Soman [paper] |
| Malicious Url | January 17, 2018 |
| Dga | January 17, 2018 |
| Ai For Security | January 16, 2018 |
Alg-Design: facilitates to learn Algorithmic thinking for beginners
Building-Blocks: Generating 3D design by snapping blocks
CT-Blocks: Learning Computational thinking by snapping blocks
CT-Blocks Analyser: Analysing CT-Blocks projects
DB-Learn: Studying Relational Algebra concepts by Snapping Blocks
Digital story telling using Scratch: Engaging children towards digital story telling
Last updated on 2021-29-Jan
Vinayakumar Ravi, PhD