Vikrant Bhateja is Associate Professor, Department of ECE in SRMGPC, Lucknow.  His areas of research include digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis and recognition. He has around 160 quality publications in various international journals and conference proceedings.  He is associate editor of IJSE and IJACI. He has edited more than 30 volumes of conference proceedings with Springer Nature and is presently EiC of IGI Global: IJNCR journal. Suresh Chandra Satapathy is a Ph. D in Computer Science, currently working as Professor and at KIIT (Deemed to be University), Bhubaneshwar, Odisha, India. He held the position of the National Chairman Div-V (Educational and Research) of Computer Society of India and is also a senior Member of IEEE. He has been instrumental in organizing more than 20 International Conferences in India as Organizing Chair and edited more than 30 Book Volumes from Springer LNCS, AISC, LNEE and SIST Series as Corresponding Editor. He is quite active in research in the areas of Swarm Intelligence, Machine Learning, Data Mining. He has developed a new optimization algorithm known as Social Group Optimization (SGO) published in Springer Journal. He has delivered number of Keynote address and Tutorials in his areas of expertise in various events in India. He has more than 100 publications in reputed journals and conf proceedings. Dr. Suresh is in Editorial board of IGI Global, Inderscience, Growing Science journals and also Guest Editor for Arabian Journal of Science and Engg published by Springer. Carlos M. Travieso-González received the M.Sc. degree in 1997 in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain; and Ph.D. degree in 2002 at University of Las Palmas de Gran Canaria (ULPGC-Spain). He is Full Professor on Signal Processing and Pattern Recognition and Head of Signals and Communications Department at ULPGC; teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 50 International and Spanish Research Projects, some of them as head researcher. He has 440 papers published in international journals and conferences. He has published 7 patents in Spanish Patent and Trademark Office. He is evaluator of project proposals for European Union (H2020), Medical Research Council (MRC – UK), Spanish Government (ANECA - Spain), Research National Agency (ANR - France), DAAD (Germany), and other Institutions. He has been General Chair in 16 international conferences, mainly sponsored by IEEE and ACM. He is Associate Editor in CIN and Entropy (Q2-WoS journals). He has been awarded in “Catedra Telefonica” Awards in editions 2017, 2018 and 2019 on Knowledge Transfer Modality. T. Adilakshmi is currently working as Professor and Head of the Department, Vasavi College of Engineering. She completed her Bachelor of Engineering from Vasavi College of Engineering, Osmania University, in the year 1986, and did her Master of Technology in CSE from Manipal Institute of Technology, Mangalore, in 1993. She received Ph.D. from Hyderabad Central University (HCU) in 2006 in the area of Artificial Intelligence. Her research interests include data mining, image processing, artificial intelligence, machine learning, computer networks and cloud computing. She has 23 journal publications to her credit and presented 28 papers at international and national conferences. She has been recognized as a research supervisor by Osmania University (OU) and Jawaharlal Nehru Technological University (JNTU). Two research scholars were awarded Ph.D. under her supervision, and she is currently supervising 11 Ph.D. students.

• An Analytical Study of Covid-19 Dataset using Graph-Based Clustering Algorithms.- Development of Different Word Vectors and Testing using Text Classification Algorithms for Telugu.- Online Malayalam Script Assortment And Pre-Processing For Building Recommender Systems.- Design and synthesis of random number generator using LFSR.- A Flexible Accession on Brain Tumour Detection and Classification using VGG16 model.- Advertisement Click Fraud Detection Using Machine Learning Algorithms.- Artificial Intelligence for on-site detection of invasive Rugose Spiralling Whitefly in Coconut Plantation.- Analysis of different methodologies for Sentiment in Hindi Language.- A dynamic model and algorithm for real time traffic management.- A Selection-Based Framework for Building and Validating Regression Model for Covid-19 Information Management.- Fingerprint Liveliness Detectionto Mitigate Spoofing Attacks Using Generative Networks in Biometric System.- Pulmonary Nodule Detection using Laplacian ofGaussian and Deep Convolutional Neural Network.

Vikrant Bhateja is Associate Professor, Department of ECE in SRMGPC, Lucknow.  His areas of research include digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis and recognition. He has around 160 quality publications in various international journals and conference proceedings.  He is associate editor of IJSE and IJACI. He has edited more than 30 volumes of conference proceedings with Springer Nature and is presently EiC of IGI Global: IJNCR journal. Suresh Chandra Satapathy is a Ph. D in Computer Science, currently working as Professor and at KIIT (Deemed to be University), Bhubaneshwar, Odisha, India. He held the position of the National Chairman Div-V (Educational and Research) of Computer Society of India and is also a senior Member of IEEE. He has been instrumental in organizing more than 20 International Conferences in India as Organizing Chair and edited more than 30 Book Volumes from Springer LNCS, AISC, LNEE and SIST Series as Corresponding Editor. He is quite active in research in the areas of Swarm Intelligence, Machine Learning, Data Mining. He has developed a new optimization algorithm known as Social Group Optimization (SGO) published in Springer Journal. He has delivered number of Keynote address and Tutorials in his areas of expertise in various events in India. He has more than 100 publications in reputed journals and conf proceedings. Dr. Suresh is in Editorial board of IGI Global, Inderscience, Growing Science journals and also Guest Editor for Arabian Journal of Science and Engg published by Springer. Carlos M. Travieso-González received the M.Sc. degree in 1997 in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain; and Ph.D. degree in 2002 at University of Las Palmas de Gran Canaria (ULPGC-Spain). He is Full Professor on Signal Processing and Pattern Recognition and Head of Signals and Communications Department at ULPGC; teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 50 International and Spanish Research Projects, some of them as head researcher. He has 440 papers published in international journals and conferences. He has published 7 patents in Spanish Patent and Trademark Office. He is evaluator of project proposals for European Union (H2020), Medical Research Council (MRC – UK), Spanish Government (ANECA - Spain), Research National Agency (ANR - France), DAAD (Germany), and other Institutions. He has been General Chair in 16 international conferences, mainly sponsored by IEEE and ACM. He is Associate Editor in CIN and Entropy (Q2-WoS journals). He has been awarded in “Catedra Telefonica” Awards in editions 2017, 2018 and 2019 on Knowledge Transfer Modality. T. Adilakshmi is currently working as Professor and Head of the Department, Vasavi College of Engineering. She completed her Bachelor of Engineering from Vasavi College of Engineering, Osmania University, in the year 1986, and did her Master of Technology in CSE from Manipal Institute of Technology, Mangalore, in 1993. She received Ph.D. from Hyderabad Central University (HCU) in 2006 in the area of Artificial Intelligence. Her research interests include data mining, image processing, artificial intelligence, machine learning, computer networks and cloud computing. She has 23 journal publications to her credit and presented 28 papers at international and national conferences. She has been recognized as a research supervisor by Osmania University (OU) and Jawaharlal Nehru Technological University (JNTU). Two research scholars were awarded Ph.D. under her supervision, and she is currently supervising 11 Ph.D. students.

• An Analytical Study of Covid-19 Dataset using Graph-Based Clustering Algorithms.- Development of Different Word Vectors and Testing using Text Classification Algorithms for Telugu.- Online Malayalam Script Assortment And Pre-Processing For Building Recommender Systems.- Design and synthesis of random number generator using LFSR.- A Flexible Accession on Brain Tumour Detection and Classification using VGG16 model.- Advertisement Click Fraud Detection Using Machine Learning Algorithms.- Artificial Intelligence for on-site detection of invasive Rugose Spiralling Whitefly in Coconut Plantation.- Analysis of different methodologies for Sentiment in Hindi Language.- A dynamic model and algorithm for real time traffic management.- A Selection-Based Framework for Building and Validating Regression Model for Covid-19 Information Management.- Fingerprint Liveliness Detectionto Mitigate Spoofing Attacks Using Generative Networks in Biometric System.- Pulmonary Nodule Detection using Laplacian ofGaussian and Deep Convolutional Neural Network.

Vikrant Bhateja is Associate Professor, Department of ECE in SRMGPC, Lucknow.  His areas of research include digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis and recognition. He has around 160 quality publications in various international journals and conference proceedings.  He is associate editor of IJSE and IJACI. He has edited more than 30 volumes of conference proceedings with Springer Nature and is presently EiC of IGI Global: IJNCR journal. Suresh Chandra Satapathy is a Ph. D in Computer Science, currently working as Professor and at KIIT (Deemed to be University), Bhubaneshwar, Odisha, India. He held the position of the National Chairman Div-V (Educational and Research) of Computer Society of India and is also a senior Member of IEEE. He has been instrumental in organizing more than 20 International Conferences in India as Organizing Chair and edited more than 30 Book Volumes from Springer LNCS, AISC, LNEE and SIST Series as Corresponding Editor. He is quite active in research in the areas of Swarm Intelligence, Machine Learning, Data Mining. He has developed a new optimization algorithm known as Social Group Optimization (SGO) published in Springer Journal. He has delivered number of Keynote address and Tutorials in his areas of expertise in various events in India. He has more than 100 publications in reputed journals and conf proceedings. Dr. Suresh is in Editorial board of IGI Global, Inderscience, Growing Science journals and also Guest Editor for Arabian Journal of Science and Engg published by Springer. Carlos M. Travieso-González received the M.Sc. degree in 1997 in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain; and Ph.D. degree in 2002 at University of Las Palmas de Gran Canaria (ULPGC-Spain). He is Full Professor on Signal Processing and Pattern Recognition and Head of Signals and Communications Department at ULPGC; teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 50 International and Spanish Research Projects, some of them as head researcher. He has 440 papers published in international journals and conferences. He has published 7 patents in Spanish Patent and Trademark Office. He is evaluator of project proposals for European Union (H2020), Medical Research Council (MRC – UK), Spanish Government (ANECA - Spain), Research National Agency (ANR - France), DAAD (Germany), and other Institutions. He has been General Chair in 16 international conferences, mainly sponsored by IEEE and ACM. He is Associate Editor in CIN and Entropy (Q2-WoS journals). He has been awarded in “Catedra Telefonica” Awards in editions 2017, 2018 and 2019 on Knowledge Transfer Modality. T. Adilakshmi is currently working as Professor and Head of the Department, Vasavi College of Engineering. She completed her Bachelor of Engineering from Vasavi College of Engineering, Osmania University, in the year 1986, and did her Master of Technology in CSE from Manipal Institute of Technology, Mangalore, in 1993. She received Ph.D. from Hyderabad Central University (HCU) in 2006 in the area of Artificial Intelligence. Her research interests include data mining, image processing, artificial intelligence, machine learning, computer networks and cloud computing. She has 23 journal publications to her credit and presented 28 papers at international and national conferences. She has been recognized as a research supervisor by Osmania University (OU) and Jawaharlal Nehru Technological University (JNTU). Two research scholars were awarded Ph.D. under her supervision, and she is currently supervising 11 Ph.D. students.

• An Analytical Study of Covid-19 Dataset using Graph-Based Clustering Algorithms.- Development of Different Word Vectors and Testing using Text Classification Algorithms for Telugu.- Online Malayalam Script Assortment And Pre-Processing For Building Recommender Systems.- Design and synthesis of random number generator using LFSR.- A Flexible Accession on Brain Tumour Detection and Classification using VGG16 model.- Advertisement Click Fraud Detection Using Machine Learning Algorithms.- Artificial Intelligence for on-site detection of invasive Rugose Spiralling Whitefly in Coconut Plantation.- Analysis of different methodologies for Sentiment in Hindi Language.- A dynamic model and algorithm for real time traffic management.- A Selection-Based Framework for Building and Validating Regression Model for Covid-19 Information Management.- Fingerprint Liveliness Detectionto Mitigate Spoofing Attacks Using Generative Networks in Biometric System.- Pulmonary Nodule Detection using Laplacian ofGaussian and Deep Convolutional Neural Network.