International Conference on Machine Learning and Data Engineering
All accepted papers will be published in Procedia Computer Science Journal, Elsevier
The worldwide conference on Machine Learning and Data Engineering (ICMLDE 2022) is an international venue for the presentation of original research findings, as well as the exchange and dissemination of creative, practical development experiences in various engineering domains. Researchers and application developers from a wide range of artificial and data engineering-related fields, as well as their techniques and applications of current issues in practically all sectors of engineering and technology, attend the conference.
This conference aims to broaden its scope in the areas of Machine Learning and Data Engineering by including expert speeches and presentations from young researchers in each session. The conference aims to enhance the state-of-the-art in Machine Learning and Data Engineering, as well as other promising areas of computing, by encouraging fresh, high-quality research discoveries and inventive solutions to tough machine learning challenges. Researchers, academicians, and professionals from all over the world are invited to submit original, unpublished research papers from all perspectives, including theory, practice, experimentation, and review papers highlighting specific research domains for presentation in the conference's technical sessions.
The conference will create a cross-disciplinary summit that will bridge the gap between departmental, institutional, industrial, public and private research organizations, and global barriers, allowing for the integration of research and education in the emerging field of Machine Learning and Data Engineering.
All ICMLDE 2022 accepted papers will be included by Elsevier in the open-access Procedia Computer Science Journal. Procedia Computer Science is indexed in Scopus, the Web of Science, INSPEC, and Engineering Village. All published papers in Procedia Computer Science are freely available on Elsevier content platform ScienceDirect (www.sciencedirect.com)
| Important Dates | |
| Last Date of Paper Submission | 15th June 2022 |
| Acceptance Notification Deadline | 7th August 2022 |
| Camera Ready Manuscript Deadline | 10th August 2022 |
| Conference Registration Deadline | As per Notification on or before 10th August 2022 |
| Conference Date | 7th - 8th September 2022 |
Original contributions from researchers describing their original, unpublished, research contribution which is not currently under review by another conference or journal and addressing state-of-the-art research are invited to share their work in all areas of ICMLDE 2022 but not limited to the conference tracks.
Conference Sub Themes and Tracks:
| Machine Learning Foundations | Deep Learning and Data Engineering: | |
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| Machine Learning and Data Engineering | APPLICATIONS | |
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Scientific Committee Chairs
Scientific Committee Members
Chief Patron
S.J.Chopra, University of Petroleum and Energy Studies, Dehradun, India
Patron (s)
Sunil Rai, University of Petroleum and Energy Studies, Dehradun, India
General Chairs
Vijayan K Asari, University of Dayton, Ohio, USA
Kuan Ching Li, Providence University, Taiwan
Cheng, Qiang, University of Kentucky, USA
Joseph Tan, McMaster University, Canada
Rubén González, Universidad Internacional de La Rioja, Spain
Program Chair(s)
Selwyn Piramuthu, University of Florida, USA
Jaime Lloret Mauri, Polytechnic University of Valencia, Spain
L V Subramaniam, IBM India Research Laboratory, India
Neelu J. Ahuja, University of Petroleum and Energy Studies, India
Sunil Gupta, University of Petroleum and Energy Studies, India
Xiao Zhi Gao, University of Eastern Finland, Finland
Organizing Chair
Vijendra Singh, University of Petroleum and Energy Studies, India
Technical Committee Chair(s)
Neelu J. Ahuja, University of Petroleum and Energy Studies, India
T.P. Singh, University of Petroleum and Energy Studies, India
Sunil Gupta, University of Petroleum and Energy Studies, India
Alok Aggarwal, University of Petroleum and Energy Studies, India
Lalit Kane, University of Petroleum and Energy Studies, India
Ajay Prasad, University of Petroleum and Energy Studies, India
Hanumat Sastry G, University of Petroleum and Energy Studies, India
Akashdeep Bhardwaj, University of Petroleum and Energy Studies, India
Shamik Tiwari, University of Petroleum and Energy Studies, India
Adarsh Kumar, University of Petroleum and Energy Studies, India
Dhirender Kumar Sharma, University of Petroleum and Energy Studies, India
Tanupriya Chaudhary, University of Petroleum and Energy Studies, India
Rajeev Tiwari, University of Petroleum and Energy Studies, India
Manoj Kumar, University of Petroleum and Energy Studies, India
Rohit Tanwar, University of Petroleum and Energy Studies, India
Gourav Bathla, University of Petroleum and Energy Studies, India
Sujoy Chatterjee, University of Petroleum and Energy Studies, India
Vinay Awasthi, University of Petroleum and Energy Studies, India
Rohit Srivastava, University of Petroleum and Energy Studies, India
Rahul Nijhawan, University of Petroleum and Energy Studies, India
Mrinal Goswami, University of Petroleum and Energy Studies, India
Deepika Koundal, University of Petroleum and Energy Studies, India
Ravi Tomar, University of Petroleum and Energy Studies, India
Virender Kadyan, University of Petroleum and Energy Studies, India
Javed Imran, University of Petroleum and Energy Studies, India
Publicity Chairs
Rajeev Tiwari, University of Petroleum and Energy Studies, India
Manoj Kumar, University of Petroleum and Energy Studies, India
Shaurya Gupta, University of Petroleum and Energy Studies, India
Deepika Koundal, University of Petroleum and Energy Studies, India
Hitesh Kumar Sharma, University of Petroleum and Energy Studies, India
Arjun Arora, University of Petroleum and Energy Studies, India
Shashi Bhushan, University of Petroleum and Energy Studies, India
Jitendra Rajpurohit, University of Petroleum and Energy Studies, India
Harvinder Singh, University of Petroleum and Energy Studies, India
Rohit Tanwar, University of Petroleum and Energy Studies, India
Rahul Nijhawan, University of Petroleum and Energy Studies, India
Mrinal Goswami, University of Petroleum and Energy Studies, India
Shahina Anwarul, University of Petroleum and Energy Studies, India
Keshav Kaushik, University of Petroleum and Energy Studies, India
Anurag Jain, University of Petroleum and Energy Studies, India
Sudhanshu Srivastava, University of Petroleum and Energy Studies, India
Javed Imran, University of Petroleum and Energy Studies, India
Sujoy Chatterjee, University of Petroleum and Energy Studies, India
Rohit Srivastava, University of Petroleum and Energy Studies, India
Deepak Kumar Sharma, University of Petroleum and Energy Studies, India
Ankur Gupta, University of Petroleum and Energy Studies, India
Aviral Sharma, University of Petroleum and Energy Studies, India
Chandan Sharma, University of Petroleum and Energy Studies, India
Abhishek Pandey, University of Petroleum and Energy Studies, India
Nitika Goenka, University of Petroleum and Energy Studies, India
Pramod Kumar Parida , University of Petroleum and Energy Studies, India
Shelly Garg, University of Petroleum and Energy Studies, India
Vidyanand Mishra, University of Petroleum and Energy Studies, India
Gunjan Chhabra, University of Petroleum and Energy Studies, India
Sponsorship Chair(s)
Ajay Prasad, University of Petroleum and Energy Studies, India
Akashdeep Bhardwaj, University of Petroleum and Energy Studies, India
Dharani Kumar T, University of Petroleum and Energy Studies, India
Session Management Chair(s)
Pardeep Singh, University of Petroleum and Energy Studies, India
Gaurav Bathla, University of Petroleum and Energy Studies, India
Abhijit Kumar, University of Petroleum and Energy Studies, India
Roohi, University of Petroleum and Energy Studies, India
Rohit Tanwar, University of Petroleum and Energy Studies, India
Rashmi Sharma, University of Petroleum and Energy Studies, India
Shubhi Sharma, University of Petroleum and Energy Studies, India
Manisha Singla, University of Petroleum and Energy Studies, India
Richa Choudhary, University of Petroleum and Energy Studies, India
Shiv Naresh Shivhare, University of Petroleum and Energy Studies, India
Juhi Agrawal, University of Petroleum and Energy Studies, India
Niharika Singh, University of Petroleum and Energy Studies, India
Dhirendra Kumar Sharma, University of Petroleum and Energy Studies, India
Tripti Mishra, University of Petroleum and Energy Studies, India
Hukum Singh Rana, University of Petroleum and Energy Studies, India
Abhirup Khanna, University of Petroleum and Energy Studies, India
Christalin Nelson S, University of Petroleum and Energy Studies, India
Inder Singh, University of Petroleum and Energy Studies, India
Kalpana Rangra, University of Petroleum and Energy Studies, India
Silky Goel, University of Petroleum and Energy Studies, India
Vishal Kaushik, University of Petroleum and Energy Studies, India
Finance Chair(s)
Jagdish Chandra Patni, University of Petroleum and Energy Studies, India
Shahina Anwarul, University of Petroleum and Energy Studies, India
Rahul Kumar Singh, University of Petroleum and Energy Studies, India
Harvinder Singh, University of Petroleum and Energy Studies, India
Local Arrangement Chair(s)
Hitesh Sharma, University of Petroleum and Energy Studies, India
Kingshuk Srivastava, University of Petroleum and Energy Studies, India
Piyush Chauhan, University of Petroleum and Energy Studies, India
Ved Prakash Bhardwaj, University of Petroleum and Energy Studies, India
Neeraj Chugh, University of Petroleum and Energy Studies, India
Ankit Vishnoi, University of Petroleum and Energy Studies, India
Ankit Khare, University of Petroleum and Energy Studies, India
Sonali Vyas, University of Petroleum and Energy Studies, India
Amit Singh, University of Petroleum and Energy Studies, India
Anil Kumar, University of Petroleum and Energy Studies, India
Pankaj Badoni, University of Petroleum and Energy Studies, India
Amit Verma, University of Petroleum and Energy Studies, India
Amrendra Thripathi , University of Petroleum and Energy Studies, India
Anupam Singh , University of Petroleum and Energy Studies, India
Bhagwant Singh , University of Petroleum and Energy Studies, India
Dhiviya Rose J , University of Petroleum and Energy Studies, India
Gagan Deep Singh , University of Petroleum and Energy Studies, India
Gaytri , University of Petroleum and Energy Studies, India
Goutam Datta , University of Petroleum and Energy Studies, India
Registration Chair(s)
Mitali Chugh , University of Petroleum and Energy Studies, India
Sugandha Sharma , University of Petroleum and Energy Studies, India
Susheela Dahiya , University of Petroleum and Energy Studies, India
Deepa Joshi , University of Petroleum and Energy Studies, India
Saurabh Jain , University of Petroleum and Energy Studies, India
Saurabh Shanu , University of Petroleum and Energy Studies, India
Bhavana Kaushik , University of Petroleum and Energy Studies, India
Tarandeep Bhatia , University of Petroleum and Energy Studies, India
Piyush Chauhan , University of Petroleum and Energy Studies, India
Kaushik Ghosh , University of Petroleum and Energy Studies, India
Poonam Kainthura , University of Petroleum and Energy Studies, India
Alind , University of Petroleum and Energy Studies, India
Amar Shukla , University of Petroleum and Energy Studies, India
Anushree Sah , University of Petroleum and Energy Studies, India
Apurva Gupta , University of Petroleum and Energy Studies, India
Bhupendra Singh , University of Petroleum and Energy Studies, India
Sandeep Chaurasia , University of Petroleum and Energy Studies, India
Website Committee
Varun Sapra , University of Petroleum and Energy Studies, India
Chinmayi Parimal , University of Petroleum and Energy Studies, India
Sharad Singhania , University of Petroleum and Energy Studies, India
Prof. Vijayan Asari is the University of Dayton Ohio Research Scholars Endowed Chair in Wide Area Surveillance and a professor with the Department of Electrical and Computer Engineering. He is also the director of the Center of Excellence for Computational Intelligence and Machine Vision (Vision Lab). Dr. Asari began teaching as an assistant professor in electronics and communications at TKM College of Engineering, University of Kerala, India. In 1996, he joined the National University of Singapore as a Research Fellow and led a team for the development of a vision-guided microrobotic endoscopy system. In 1998, he joined the School of Computer Engineering at Nanyang Technological University (NTU), Singapore, and led the computer vision and image processing research activities in the Center for High Performance Embedded Systems at NTU. In August 2000, Dr. Asari joined the Department of Electrical and Computer Engineering at Old Dominion University (ODU), Norfolk, Virginia, as a visiting associate professor. In 2001, at ODU, he accepted a tenure track position in electrical and computer engineering. He was tenured in 2006 and promoted to full professor in May 2007. At ODU, he was also the founding director of the Computational Intelligence and Machine Vision Laboratory. Dr. Asari joined the University of Dayton in February 2010. He has received many awards for his teaching, research and leadership including the Vision Award for Excellence in August 2017, Sigma Xi George B. Noland Award in April 2016, and the Outstanding Engineers and Scientists Award for Technical Leadership in April 2015. Dr. Asari has been selected as a Fulbright Specialist by the Fulbright Specialist Program of the U.S. Department of State’s Bureau of Educational and Cultural Affairs (ECA) and World Learning in August 2017. He was elected as a Fellow of SPIE (Society of Photo-Optical Instrumentation Engineers) in November 2018. Dr. Asari has published and co-authored with his graduate students and colleagues, more than 600 research articles, including an edited book on wide area surveillance and more than 100 peer-reviewed journal papers, in the areas of image processing, computer vision, pattern recognition, machine learning, deep learning and high performance digital system architecture design.
João Paulo Papa has been a Professor in the Computer Science Department, So Paulo, State University since 2009. From 2008–to 2009, he had worked as a postdoctorate researcher at the same institute, and from 2014–2015 he worked as a visiting scholar at Harvard University. He was also the recipient of the Alexander von Humboldt research fellowship in 2017. He received a Ph.D. degree in computer science from the University of Campinas, SP, Brazil. He is currently associate editor of Computers & Electrical Engineering, Computers in Biology and Medicine, IEEE Signal Processing Letters, International Journal of Bio-Inspired Computation, and Computer Methods in Biomechanics and Biomedical Engineering. He has been a visiting professor at the Ostbayerische Technische Hochschule (Germany), as well as a Fellow at the Alexander von Humboldt Foundation supported by Capes, a Brazilian representative at the International Association for Pattern Recognition (ICPR), and a senior IEEE member. He was a member of the Special Commission for Computer Graphics and Image Processing (CEGRAPI) in the period 2015-2018. He has experience in the field of Computer Science, with an emphasis on Computer Systems, working mainly on the topics: image processing, machine learning, and pattern recognition. He also participates in projects in the field of Petroleum Engineering at the Center for Geosciences Applied to Petroleum (UNESPETRO), Unesp/Rio Claro.
Siddhartha (Sid) Bhattacharyya is Professor and Head of the Information and Decision Sciences Department in the College of Business at the University of Illinois, Chicago. He has broad experience in business analytics, machine learning and data-intensive applications, and technology management. His research has addressed areas like machine learning in financial markets, fraud detection, marketing analytics; agent-based models of electronic markets, energy markets regulation, information processing in social networks; evolutionary algorithms. Sid’s work has been supported by the National Science Foundation and private organizations, and he has published numerous papers in various journals and conferences. He is the founding Director of the MS Business Analytics program at UIC, where he also initiated the Center for Applied Analytics to drive industry partnerships. He has received multiple teaching awards, and currently teaches courses in business data mining.
Dr. Mohit Kumar Goel is currently working as Director, Data Science at Bold Technologies. Over the past 12 years of his career, he has designed and implemented Data Science strategies for multiple domains such as recruitment, telecom, neuroscience, operations, medical imaging, finance, radar imaging and steel rolling mills. Prior to Bold Technologies, he was working with Info Edge India Ltd. as a Vice President Data Science. The key projects executed at Infoedge includes lead scoring, search relevance, spam detection, candidate recommendations, query auto completion, parsing and machine reading comprehension. At Impetus Infotech, he led a big data project for a US based telecom client and achieved an ROI within 6 months of execution. His PhD work at EPFL involved designing systems to collect, label and classify the EEG data, i.e. implementing an end-to-end data science system. His technical stack includes Python, R, SQL, Machine Learning libraries (sklearn, TensorFlow, transformer), GIT, databases (MySQL, MongoDB, Elasticsearch). I was born in Noida (Uttar Pradesh) and brought up in Ranchi and Rourkela. He did B.Tech from IIT, Kharagpur and PhD from EPFL, Switzerland. Some of the prominent awards received during his career are NTSE, KVPY, 1st Rank in National Cyber Olympiad, Best algorithm award in Robotix at IIT Kharagpur, Employee of the month award at Impetus and “We Value You” Award at Info edge.
Nitendra works as the Vice President and Head of AI Garage in Mastercard. He has over 20 years of experience in the area of Artificial Intelligence, Machine Learning and Mobile Interactions. He has authored over 100 publications at top international ACM and IEEE venues, owing to which he has been recognized as an ACM Distinguished Scientist, ACM Distinguished Speaker (2014) and a senior IEEE Member. He has delivered several tutorials and conducted workshops in AI and speech areas at top ACM venues (MobileHCI, IUI, CSCW, CHI). With over 50 granted patents to his name, Nitendra was an IBM Master Inventor and was also an IBM Academy of Technology member. In 2012, he coauthored a book titled "Speech in Mobile and Pervasive Environments" that was published by John Wiley & Sons. Before joining Mastercard, he spent 18 years at IBM Research, working on different aspects of machine learning, HCI, software engineering and mobile sensing. He then spent 2.5 years at InfoEdge as EVP and Head of Analytics from 2017 to 2019. Nitendra holds a Masters degree in Signal Processing from IIT Bombay. Nitendra is also an Ironman 70.3 finisher, a grade-3 Trinity guitar player, blind-folded Rubik’s cube solver and advanced meditation practitioner and teacher.
Danilo Pelusi received the Ph.D. degree in Computational Astrophysics from the University of Teramo, Italy. He is an Associate Professor at the Department of Communication Sciences, University of Teramo. Editor of books in Springer and Elsevier and Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence (2017-2020), IEEE Access (2018-present), IEEE Transactions on Neural Networks and Learning Systems (2022-present). Guest editor for Elsevier, Springer, MDPI and Hindawi journals, he belongs to the editorial board member of many journals. Keynote speaker and chair of IEEE conferences and inventor of patents on Artificial Intelligence, his research interests include Fuzzy Logic, Neural Networks, Information Theory, Machine Learning and Evolutionary Algorithms.
IBM Resource Persons, IBM Research Lab, India
Dr. Saswati Dana is an Advisory Research Engineer at IBM, India Research Lab, Bangalore. She is a key team member of the AI reasoning team and works on research problems of machine learning, natural language processing, and machine question-answering. She has published papers in various peer-reviewed reputed international journals and top international conferences such as ACL, AAAI, and ESWC. She received her Ph.D. from the Indian Institute of Science, Bangalore in Applied Mathematics.
Dhiraj Madan is an Advisory Research Engineer and IBM quantum Ambassador at IBM research India. He works on research problems in quantum computing and machine learning with publications in top international conferences such as NeurIPS, EMNLP, ECAI, IJCNLP, QIP, and APS March Meeting. He has also conducted several tutorial sessions on quantum algorithms including a lecture at a course on NPTEL. Prior to joining IBM Research, he completed his master’s in computer science and Engineering from IITD where he graduated with an institute silver medal.
Prerna Agarwal is currently working as a Research Engineer in IBM Research India. She is currently leading projects in the area of AI-driven Optimization for business processes and AI for Social Good. She did a Master's in Data Science from IIIT Delhi and received an award for her thesis work. She completed her bachelor's in Computer Science from Jamia Millia Islamia and received Gold Medal for her outstanding performance. Her research interests lie in Natural Language Processing, Deep Learning, and Machine Learning. She has published papers in top-tier conferences on the core technology of AI and filed several patents. She has also delivered several faculty development programs in eminent institutions like IIT Roorkee, DTU, etc, and is a part of the Women in Machine Learning Society. She has been a recipient of many awards including external eminence and recognition awards for her contributions toward building AI capabilities for business processes. Her passion is to build real AI capabilities for underprivileged and exploited groups and have tie-ups with many such NGOs.
Dr. Anupama Ray is an Advisory Research Scientist at IBM Research, India. She is an IBM Quantum Ambassador and a Qiskit Advocate. She completed her Ph.D from Indian Institute of Technology Delhi. Her doctoral research focussed on developing and applying multi-dimensional deep recurrent neural networks for document analysis and computer vision applications. At IBM Research she has been predominantly working in the area of natural language processing: building NLP systems for low-resource languages, domain-independent information extraction systems, and natural language generation. She has interests in Quantum ML, Quantum NLP, and AI for societal applications. She has published several papers in top-tier conferences and journals and has received several Best paper awards. She has been the recipient of the IEEE Best Woman Professional (Early Career) and several awards at IBM Research such as Research Division Award, Eminence and Excellence Award, and Outstanding Technical Achievement Award to name a few. She was nominated and selected as a Young Scientist in Global Young Scientist Summit and is an active member of IEEE, AAAI, and Society of Women Engineers (SWE) India.
Venkatraman Ramakrishna is a senior researcher in the IBM Research Lab in Bangalore, India. As an IBMer, he has also been on a temporary assignment as a research staff member at the IBM Center for Blockchain Innovation in Singapore.Ramakrishna's current research area is blockchain and smart contracting technology, with a focus on blockchain and distributed ledger interoperability. His other interests in this area include performance, security, and privacy aspects of blockchain. He has been involved in the development and testing of applications on the Hyperledger Fabric platform since its genesis in late 2015. He has led the design and implementation of seminal use cases in the areas of trade-finance and KYC on the Fabric platform to serve prominent international banks and corporations. He has also led research and development in the performance measurement and analysis of Fabric and its applications. And he is a co-author of a practical guidebook for development on Hyperledger Fabric titled Hands-On Blockchain with Hyperledger: Building decentralized applications with Hyperledger Fabric and Composer.Ramakrishna joined the IBM India Research Lab as a Researcher in April 2011. Before joining IBM Research, he was a member of the Microsoft Bing Infrastructure team in Redmond, WA, USA. Ramakrishna graduated with a B.Tech. in Computer Science and Engineering from IIT Kharagpur in 2001. Subsequently he obtained an M.S. and Ph.D. in Computer Science from UCLA, where his advisor was Professor Peter Reiher. His doctoral dissertation is titled "Policy Management and Interoperation Through Negotiation in Ubiquitous Computing".Before joining the blockchain team in the India Lab, Ramakrishna was a member of the Telecom Research Group at IRL, and worked on projects that spanned the areas of mobile commerce, mobile and back-end analytics, security, identity management, and social networking. His research interests lay in the areas of mobile and ubiquitous computing, security, blockchain and smart contracts technology, an cloud technology.
Dr. Prabhat Shankar is a Senior R&D Engineer at Industrial Automation and Process Industries Division at ABB Ability Innovation Center, Bangalore. He holds a Bachelor’s and master’s degree in electrical engineering and Instrumentation from IIT Kharagpur and a Ph.D. in Computational Biology from RIKEN Japan. He is working towards applying Machine Learning and Artificial intelligence techniques to industrial automation and Predictive Maintenance, which include Fault Prediction, Remaining Useful Life estimation, Time series forecasting, and related discipline. His broad interests lie in the field of providing robust solutions to challenging industrial problems. In his previous roles, he has worked with ABB Robotics, where he worked on optimizing pick and place operations using Reinforcement learning.
A. Guidelines for Paper Submission
(1) Authors are invited to submit their paper electronically using a proceedings template written in English, with a length of up to 10 pages, a full paper presenting the results of original research or an innovative paper, and a short paper that is partially completed with a theoretically established idea to practical applications relevant to the conference. Over the ten (10) page limit, additional pages per paper will be charged.
(2) All submissions must be made electronically through the editorial manager/Submission Management System, and all accepted and presented papers will be included in Procedia Computer Science Journal, Elsevier for possible publication and indexing in databases such as ScienceDirect, Scopus, Google Scholar, INSPEC, Web of Science, and Journal Citation Report (JCR), among others.
| S.no | Session ID | Details of Sepcial Session | |
| 1 | ICMLDE.001 | Topic-
Session Chairperson- Members- Organization- email- |
Emerging Technologies on Machine Learning and its optimized Techniques
Dr. Rajkumar R Dr. Jolly Masih, Dr.Jyoti Munnavalli VIT University, Vellore, India vitrajkumar@gmail.com |
| 2 | ICMLDE.002 | Topic- Session Chairperson- Organisation- email- |
AI and Deep Learning-based Smart Healthcare Systems and other Applications
Dr. Debabrata Singh and Dr. Rasmita Dash Siksha O Anusandhan(Deemed to be University), Bhubaneswar, Odisha debabratasingh@soa.ac.in ; rasmitadash@soa.ac.in |
| 3 | ICMLDE.003 | Topic- Session Chairperson- Organisation- email- |
Machine Learning in Visual Communication and Image Representation
Dr. K.K.Singh and Dr. Akansha Singh Jain Deemed to be University, Bangalore, India; Bennett University, Greater Noida krishnaiitr2011@gmail.com |
| 4 | ICMLDE.004 | Topic- Session Chairperson- Organisation- email- |
Deep Life-Long Learning in Practical Applications
Dr. Sanjay Kumar and Dr. Seema Kharb SRM University, Delhi-NCR skmalik9876@gmail.com ; seema016@gmail.com |
| 5 | ICMLDE.005 | Topic- Session Chairperson- Members Organisation- email- |
Machine Learning in Computer Vision: Applications and Use Cases
Dr. Chiranji Lal Dr. Monica R Mundada; Muhammad Fazal Ijaz Vellore Institute of Technology Vellore, Tamil Nadu; Ramaiah Institute of Technology (MSRIT), Bengaluru, Karnataka; Sejon University Seoul, South Korea chiranji.lal@vit.ac.in ; monica@msrit.edu ; fazal@sejong.ac.kr |
| 6 | ICMLDE.006 | Topic- Session Chairperson- Organisation- email- |
Recent Trends in Applications of Artificial Intelligence and Deep Learning
Dr. Ajmer Saini and Dr Deepa Gupta Deenbandhu Chottu Ram University of Science and Technology, Murthal, India; Amity Institute of Information Technology, Noida ajmer.saini@gmail.com |
| 7 | ICMLDE.007 | Topic- Session Chairperson- Organisation- email- |
Data Analytics and Service Sector
Dr Pankaj Deshwal Netaji Subhas University of Technology, New Delhi pankajdeshwal@gmail.com |
| 8 | ICMLDE.008 | Topic- Session Chairperson- Organisation- email- |
Machine Learning for sustainable development
Dr. Sushila Palwe MIT World Peace University sushila.palwe@mitwpu.edu.in |
| 9 | ICMLDE.009 | Topic- Session Chairperson- Organisation- email- |
Innovative AI approaches for Smart City Service
Dr. Mohd Abdul Ahad, Dr. Sherin Zafa and Gabriella Casalino Jamia Hamdard, New Delhi; University of Bari, Italy itsmeahad@ieee.org; zafarsherin@gmail.com ; gabriella.casalino@uniba.it |
| 10 | ICMLDE.010 | Topic- Session Chairperson- Organisation- email- |
Intelligence in computing applications
Dr. Neetu Sardana and Dr. Ankit Vidyarthi Jaypee Institute of Information Technology, Noida, India neetu.sardana@jiit.ac.in; ankit.vidyarthi@jiit.ac.in |
| 11 | ICMLDE.011 | Topic- Session Chairperson- Organisation- email- |
AI for Biomedical Text and Image Analysis
Dr. Premjith B Dr. Sowmya V, Dr. Gopalakrishnan E.A, and Dr. Soman K.P Amrita Vishwa Vidyapeetham, Kerala, India b_premjith@cb.amrita.edu |
| 12 | ICMLDE.012 | Topic- Session Chairperson- Organisation- email- |
Evolving Computing Technologies in Data Engineering
Dr. Shruti Jain and Dr. Meenakshi Sood Jaypee University of Information Technology, Solan, India; National Institute of Technical Teachers Training & Research, India shruti.jain@juitsolan.in; meenakshi@nitttrchd.ac.in |
| 13 | ICMLDE.013 | Topic- Session Chairperson- Organisation- email- |
Artificial Intelligence and IoT driven Methods and Applications
Dr. Arpita Nagpal, Dr. Aman Jatain and Dr. Geetika GD Goenka University, Gurugram; Amity University, Gurugram; Amity University, Noida er.arpitanagpal@gmail.com; amanjatainsingh@gmail.com; munjal.geetika@gmail.com |
| 14 | ICMLDE.014 | Topic- Session Chairperson- Members Organisation- email- |
Artificial Intelligence in Instruction Based Learning
Dr. Sidath R. Liyanage Dr. Anuradhi Welhenge, Dr Sanvitha Kasthuriarachchi University of Kelaniya, Srilanka; Sri Lanka Institute of Information Technology, Srilanka sidath@kln.ac.lk |
| 15 | ICMLDE.015 | Topic- Session Chairperson- Organisation- email- |
Artificial Intelligence and Big Data for Healthcare Informatics
Dr. Pronaya Bhattacharya, Dr. Sudeep Tanwar, Dr. Emil Pricop, Dr. Muhammad Awais Javed, Dr. Khalimjon Ergashevich Khujamatov Nirma University, India; Universitatea Petrol-Gaze din Ploiești, România; COMSATS, Islamabad, Pakistan; Michigan State University, East Lansing, USA; Tashkent University of Information Technologies, Tashkent, Uzbekistan pronoya.bhattacharya@nirmauni.ac.in; sudeep.tanwar@nirmauni.ac.in; emil.pricop@upg-ploiesti.ro ; awais.javed@comsats.edu.pk; abouhaww@msu.edu; kh.khujamatov@tuit.uz |
| 16 | ICMLDE.016 | Topic- Session Chairperson- Organisation- email- |
Machine Learning Foundations-Unsupervised Learning/supervised learning
Dr. Preethi Ananthachari and Dr. Sreekanth Madisetti Endicott College of International Studies, Woosong University, Daejeon, South Korea preethi.ga@wsu.ac.kr ; sreekanth@wsu.ac.kr |
| 17 | ICMLDE.017 | Topic- Session Chairperson- Organisation- email- |
Smart Systems for Sustainable and Resilient Climate Action
Dr. Nallapaneni Manoj Kumar City University of Hong Kong, Hong Kong mnallapan2-c@my.cityu.edu.hk ; nallapanenichow@gmail.com |
| 18 | ICMLDE.018 | Topic- Session Chairperson- Organisation- email- |
Artificial Emotional Intelligence in Usability Testing
Prof. Jong-Ha Lee and Dr. Jin-Cheol Heo School of Medicine, Keimyung University, South Korea segeberg@kmu.ac.kr; hannagu1966@gmail.com |
| 19 | ICMLDE.019 | Topic- Session Chairperson- Organisation- email- |
Deep Learning in Medical Applications
Dr. Şaban Öztürk, Dr. Kemal Polat, Dr. Mücahid Barstugan Amasya University, Turkey; Bolu Abant Izzet Baysal University, Turkey; Konya Technical University, Turkey saban.ozturk@amasya.edu.tr ; kpolat@ibu.edu.tr ; mbarstugan@ktun.edu.tr |
| 20 | ICMLDE.020 | Topic- Session Chairperson- Organisation- email- |
Medical image processing and Machine Learning
Dr. Wilver Auccahuasi Aiquipa and Eng. Kitty Roxana Urbano Carraza Universidad Privada del Norte, Lima, Perú wilver.auccahuasi@upn.edu.pe |
| 21 | ICMLDE.021 | Topic- Session Chairperson- Organisation- email- |
Machine learning and deep learning applications in climate science
Prof. Kabir A. Mamun and Dr. Nallapaneni M K The University of the South Pacific, Suva, Fiji kabir.mamun@usp.ac.fj |
| 22 | ICMLDE.022 | Topic- Session Chairperson- Members Organisation- email- |
Machine Learning in Industrial Applications
Prof. Dr. Ruihong Dr. Jolly Masih, Dr.Jyoti Munnavalli Hengshui University, Hengshui 053000, Hebei, China lirh1009@gmail.com |
| 23 | ICMLDE.023 | Topic- Session Chairperson- Organisation- email- |
Artificial Intelligence and Machine Learning in Healthcare Applications
Prof. (Dr.) Deepak Arora and Dr. Puneet Sharma Amity University, Lucknow, India deepakarora@live.co.uk; dr.puneetsharma9@gmail.com |
| 24 | ICMLDE.024 | Topic- Session Chairperson- Organisation- email- |
Application of Machine Learning in Interdisciplinary domain
Dr. Mamta Mittal and Dr. Lalit Mohan Goyal Delhi Skill and Entrepreneurship University, New Delhi; J.C. Bose University of Science and Technology,Faridabad, India mamta.mittal@dseu.ac.in; lalitgoyal78@gmail.com |
| 25 | ICMLDE.025 | Topic- Session Chairperson- Organisation- email- |
Edge Machine Learning for Industry 4.0
Dr. Velliangiri S and Dr P. Karthikeyan SRM Institute of Science and Technology, Tamilnadu, india; National Chung Cheng University, Chiayi, TAIWAN vellians@srmist.edu.in; Email: nrmkarthi@gmail.com |
| Category | Registration Deadline(As per notification on or before 10th August 2022) |
| INDIAN DELEGATES (INR) | |
| Regular Author | 10000 |
| Students Author | 9000 |
| Industry Professional | 11000 |
| Listener (Non-Author/Co- Author/General Participants) | 2000 (per person) |
| INTERNATIONAL DELEGATES (US $) | |
| Regular Author | 350 |
| Students Author | 250 |
| 2nd paper, Author from other countries | 210 |
| Listener (Non-Author/Co- Author/General Participants) | 150 |
| WORKSHOP | |
| Registered Authors of ICMLDE 2022 | Free |
| Non-Author/General Participants | 1000(Indian Rupees)per person |
1. Details on how to pay the registration fee through wire transfer are provided to participants.
2. Delegates/authors paying by wire transfer should use the following account information and submit their bank transaction slip and other pertinent information to icmlde2022@gmail.com .
| Name of Beneficiary | ICMLDE CONFERENCE |
| Name of the Bank | YES Bank |
| Branch Name | YES Bank -Rajpur Road Dehradun |
| Complete Postal Address | Ground Floor, 56, Rajpur Road, Dehradun, Uttarakhand -248001 |
| Account No. of Beneficiary | 95958777777835 |
| IFSC Code | YESB0000115 |
| Type of Account | Savings |
| NOTE: | [Make a NEFT Transaction only] |
| Name of Beneficiary | University of Petroleum and Energy Studies |
| Purpose | ICMLDE CONFERENCE |
| Name of the Bank | YES Bank |
| Account No. of Beneficiary | 011594600000224 |
| Branch Code | 115 |
| Branch IFSC Code | YESB0000115 |
| Swift Code | YESBINBB |
| Type of Account | Savings |
| Complete Postal Address | Ground Floor, 56, Rajpur Road, Dehradun, Uttarakhand, India- 248001 |
Sponsorship of ICMLDE-20202 will provide a unique opportunity for an organization or company to increase its visibility and product awareness within a highly specialized, influential community. For ICMLDE-20202 sponsorship opportunities please contact to organizer: icmlde2022@gmail.com
| Gold Sponsor (Rs 2 Lakh) |
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| Silver Sponsor (Rs 1 Lakh) |
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| Bronze Sponsor (Rs 0.5 Lakh) |
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For Enquiry :
Dr. Vijendra Singh
Organizing Chairs
School of Computer Science,
University of Petroleum & Energy Studies,
P.O. Bidholi Via-Prem Nagar
Dehradun-248007
email id: icmlde2022@gmail.com
Whatsapp: 8800642397
