International Conference on Machine Learning and Data Engineering

ICMLDE 2023

23 - 24 November 2023
UPES, Dehradun, India

All accepted papers will be published in Procedia Computer Science Journal, Elsevier

About ICMLDE 2023

The 2nd International conference on Machine Learning and Data Engineering (ICMLDE 2023) 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. The conference draws researchers and application developers from a wide range of artificial and data engineering related areas along with their algorithms and applications of current issues of almost all branches of Engineering and Technology.

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 Researchers, academicians, and professionals from all over the world are invited to submit original, unpublished research papers from all perspectives, including theory, practice, experimentation, and review papers highlighting specific research domains for presentation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.

"ICMLDE 2022 received more than one thousand manuscripts worldwide including Algeria, Bangladesh, China, Czechia, Eswatini, Ethiopia, Finland, France, India, Iran, Iraq, Ireland, Italy, Jordan, Korea, The Democratic People's Republic of Malaysia, Morocco, Nigeria, Norway, Oman, Peru, Philippines, Saudi Arabia, Slovakia, South Korea, Spain, Sri Lanka, Switzerland, Turkey, United Arab Emirates, United Kingdom, United States, Uzbekistan, and Viet Nam. A very high number of high-quality submissions were received from them 273 were accepted for publication in Procedia Computer Science Journal, Elsevier. All papers have been published in Procedia Computer Science, Elsevier, Vol 218, 2023. All accepted papers are available online at www.sciencedirect.com and https://dl.acm.org/. All accepted papers have been indexed in SCOPUS database."

"The ICMLDE 2023 has garnered significant attention, with more than 1000 submissions from over 3,500 contributors spanning across the globe. The submissions are from 45 countries, including India, United States, Russia, Oman, Sri Lanka, Hungary, Nigeria, Saudi Arabia, Viet Nam, Bangladesh, Canada, UK, Malaysia, Australia, Thailand, Ethiopia, Morocco, Norway, Philippines, Spain, Turkey, South Africa, Tunisia, China, France, Zimbabwe, Germany, Cyprus, Czechia, Poland, UAE, Algeria, Finland, Iraq, Netherlands, Saint Barthelemy, Bahrain, Ecuador, Jordan, Peru, Singapore, Switzerland, Uzbekistan, South Sudan."

Important Dates

Important Dates
Last Date of Paper Submission 20th August 2023
Acceptance Notification Deadline 15th October 2023
Camera Ready Manuscript Deadline 15th October 2023
Conference Registration Deadline As per notification on or before 30 October 2023
Conference Date 23-24 November 2023

Call for Papers

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 2023 but not limited to the conference tracks.

Conference Sub Themes and Tracks:

Machine Learning Foundations   Deep Learning and Data Engineering:
  • Machine Learning System Design
  • Machine Learning Optimization
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
  • Statistical Learning
  • Transfer learning
  • Extreme Learning Machines
  • Kernel Based Learning
  • Bayesian Learning
  • Instruction Based Learning
  • Adversarial Machine Learning
  • Deep Neural Networks Optimization Algorithms
  • Deep Feedforward Networks
  • Regularization
  • Deep Convolutional Neural Networks
  • Deep Recurrent Neural Networks
  • Sequence Modelling
  • Deep Generative Models
  • Generative Adversarial Networks
  • Inference Dependencies on Multi-Layered Networks
  • Tensors for Deep Learning
  • Multi Scale Deep Architecture and Learning
Machine Learning and Data Engineering   APPLICATIONS
  • Machine Learning in Data Lakes
  • Machine Learning based Data Integration and Data Interoperability
  • Machine Learning Data Pipelines
  • Machine Learning based Data Streaming
  • Machine Learning Relating to Knowledge and Data Management
  • Machine Learning Principles of Information Extraction from Big Data
  • Machine Learning based Web Data Management and Deep Web
  • Machine Learning Architecture for Pattern Recognition
  • Machine Learning Architecture for Medical Imaging
  • Machine Learning Search Engine
  • Machine Learning Cloud Services
  • Machine Learning IoT Services
  • Bioinformatics
  • Biomedical informatics
  • Computational Biology
  • Healthcare
  • Human Activity Recognition
  • Computer vision
  • Natural Language Processing
  • Climate Science

Conference Committees

Vasant Honavar, Penn State University, USA

Siddhartha Bhattacharyya, University of Illinois, Chicago, USA

Abawajy, Jemal, Deakin University, Australia

Selwyn Piramuthu, University of Caen Normandy, France

Balas Valentina Emilia, Aurel Vlaicu University of Arad, Romania

A Bretto, University of Illinois, Chicago, USA

Danilo Pelusi, University of Teramo, Italy

Joseph Tan, McMaster University, Canada

Gan, Christopher, Lincoln University, New Zealand

Huchang LIAO, Sichuan University, China

Jaime Lloret Mauri, Polytechnic University of Valencia, Spain

Kalpic, Damir, University of Zagreb, Croatia

Larisa Ivașcu, Politehnica University of Timisoara, Romania

Yamaguchi, Shingo, Yamaguchi University, Japan

Panos Liatsis, Khalifa University,UAE

Pao-Ann Hsiung, National Chung Cheng University, Chiayi, Taiwan

Pelusi, Danilo, University of Teramo, Italy

Pilipczuk, Olga, Szczecin University, Poland

Rubén González Crespo, Universidad Internacional de La Rioja, Spain

João Paulo Papa, São Paulo State University, Brazil

Sheng-Lung Peng, National Taipei University of Business, Taiwan

Xiao-Zhi Gao, University of Eastern Finland, Finland

Yaw-Ling Lin, Providence University, Taiwan

Scientific Committee Chairs

João Paulo Papa, São Paulo State University, Brazil

Shingo Yamaguchi, Yamaguchi University, Japan

Syed Afaq Shah, The University of Western Australia

Pelusi, Danilo, University of Teramo, Italy

Suman Deb, National Institute of Technology, Agartala, India

Pankaj Kumar, University of Petroleum and Energy Studies, India

Tein, Weng, Providence University, Taiwan

Abawajy, Jemal, Deakin University, Australia

Antonino Galletta, University of Messina, Italy

Govind Gupta, National Institute of Technology, Raipur, India


Scientific Committee Members

Dante Barone, Federal University of Rio Grande do Sul, Brazil

Dickson Chiu, University of Hong Kong, Hong Kong

Buriro Attaullah, University of Bolzano, Italy

Noor Zaman Jhanjhi, TAYLOR’S UNIVERSITY, Malaysia

Raja Kumar Murugesan, TAYLOR’S UNIVERSITY, Malaysia

Shahin Gelareh, University of Southampton, UK

Gautam Srivastava, Brandon University, Canada

Syed Afaq Shah, University of Western Australia, Australia

Lyes BENYOUCEF, Domaine Universitaire de Saint Jérôme, Francea

Gianni D'Angelo, University of Salerno, Italy

N G J Dias, University of Kelaniya, Sri Lanka

Bruno Carpentieri, Free University of Bozen-Bolzano, Italy

Predrag Stanimirovic, University of Niš,Serbia

Byung-Woo Hong, Chung-Ang University, Korea

Hoda A.Alkhzaimi, New York University, Abu Dhabi

Siyamalan Manivannan, University of Jaffna, Sri Lanka

Saban Ozturk, Amasya Üniversitesi, Turkey

Gamini Wijayarathna, University of Kelaniya, Sri Lanka

Marcin Woźniak, Silesian University of Technology, Poland

Zena Khalil, University of Al-Qadisiyah, Diwaniyah, Iraq

Wilver Auccahuasi Aiquipa, Universidad Privada del Norte, Peru

Hamza Zidoum, Sultan Qaboos University, Sultanate of Oman

Seifedine Kadry , Beirut Arab University Lebanon

Ali Kadhum Idrees , University of Babylon, Iraq

Grzegorz Chodak, Wroclaw University of Science and Technology, Poland

Lamia HAMZA , University A-Mira, Algeria

Danilo Pelusi, University of Teramo, Italy

Piramuthu Selwyn, University of Florida,USA

Gadadhar Sahoo, IIT(ISM) Dhanbad, India

Amaal Al-Hashimy, Sultan Qaboos University, oman

Omar Hussain Omar Alhazmi, Taibah University, Saudi Arabia

Mohamed Firdhous, University of Moratuwa, Sri Lanka

Rahimeh Neamatian Monemi, University of Southampton, UK

Saminda Premaratne, University of Moratuwa, Sri Lanka

Olga Pilipczuk, University of Szczecin, Poland

Quanjin Ma, Universiti Malaysia Pahang, Malaysia

Tor-Morten Grønli , Kristiania University College , Norway

Amlan Basu, University of Strathclyde, UK

Felix Ola Aranuwa, Adekunle Ajasin University, Nigeria

Olusola AJAYI, Adekunle Ajasin University, Nigeria

Akingbesote Alaba, Adekunle Ajasin University, Nigeria

Felix ARANUWA, Adekunle Ajasin University, Nigeria

Syed Afaq Shah, The University of Western Australia ,Australia

Chou Pui May, Taylor's University, Malaysia

Mun Hou Kit, Taylor's University, Malaysia

Dariush Ebrahimi, Lakehead University, Canada

Bruno Carpentieri, Free University of Bozen-Bolzano, Italy

Tabatabaei Yazdi, Nazi Massey University, New Zealand

Natalia Kryvinska, Comenius University in Bratislava, Slovakia

Hamza Zidoum, Sultan Qaboos University, Oman

Sattam Almatarneh, Middle East University, Jordan

S.R. Liyanage, University of Kelaniya, Sri Lenka

Nasser Alzeidi, Sultan Qaboos University, Oman

Seifedine Kadry, Beirut Arab University Lebanon ,

Costin Badica, Noroff University College, Norway

Maria Ganzha, Warsaw University of Technology, Poland

Lyes Benyoucef, University of Touloun,France

Imran Memon, Zhejiang University, China

A. Ramanan, University of Jaffna, Sri Lanka

Diego Molla Aliod, Macquarie University, Australia

Inhi Kim, Kongju National University, South Korea

Ivanna Droniuk, Lviv Polytechnik National University, Ukraine

Jakub Swacha, University of Szczecin, Poland

Jasbir Kaur Dhaliwal, Monash University, Malaysia

Jean-Claude Ngatchou, New Jersey City University, USA

Li Fang, Nanyang Technological University, Singapore

Luis Soares Barbosa, University of Minho, Portugal

M.M. Dastani, Utrecht University, Netherlands

Mitchell McEwan, Macquarie University, Australia

Nor Ilia Anisa Binti Aris, Taylor's University, Malaysia

Oh Kai Siang, Taylor's University, Malaysia

Paramvir Singh, University of Auckland, New Zealand

Remy Dupas, University of Bordeaux, France

Salimur Choudhury, Lakehead University, Canada

SEUNG LEE, NC State University, USA

Shimaa Abdullah Nagro, Saudi Electronic University, Saudi Arabia

Xue Chun, City University of Hong Kong, Hong Kong

Yasmin Fathy, University of Cambridge, UK

Payam Ebrahimi, Vrije Universiteit Brussel, Belgium

Vanesa Daza, Universitat Pompeu Fabra, Spain

Dawid Polap, Silesian University of Technology, Poland

Ella Pereira, Edge Hill University, UK

Euripides Petrakis, Technical University of Crete, Greece

Gelareh Shahin, Portsmouth Business School, UK

Lars Braubach, University of Hamburg, Germany

Maria Ganzha, Warsaw University, Poland

Natalia Kryvinska, University of Vienna, Austria

Olga Fedevych, Lviv Polytechnik National University, Ukraine

Vasilios Katsikis, National and Kapodistrian University of Athens, Greece

Vera Pantelic, McMaster University, Canada

Witold Maranda, Lodz University of Technology, Poland

Xunli Fan, Northwest University, China

Zoltan Mann, University Duisburg-Essen, Germany

Ehsan Ahmad, Saudi Electronic University, Saudi Arabia

Adrian Iftene, Alexandru Ioan Cuza University of Iasi, Romania

Agusti Solanas, University Rovira i Virgili, Spain

Ciprian Dobre, University Politehnica of Bucharest, Romania

Frida Pemer, Oslo Metropolitan University, Norway

Jacob Renzo Bauer, Norwegian University of Science and Technology, Norway

Arun Kumar, National Institute of Technology, Rourkela, India

Navaux Philippe O. A., Federal University of Rio Grande do Sul, Brazil

Jacob T. Prem, Sathyabama Institute of Science and Technology, India

Tinku Singh, Indian Institute of Information Technology, Allahabad, India

Liu Xiao, China Normal University, China

Bo Liu, Massey University, New Zealand

Gaurav Hajela, Maulana Azad National Institute of Technology, India

De Sousa Fabricio Simeoni, University of São Paulo, Brasil

Rekh Ram Janghel, National Institution of Technology, Raipur, India

Leszek Borzemski, Wroclaw University of Science and Technology, Poland

Neetu Sardana, Jaypee Institute of Information Technology, Noida, India

Emil Pricop, Universitatea Petrol-Gaze din Ploiești, Romania

Tianjia Shao, Zhejiang University, China

Xu Zenglin, Harbin Institute of Technology, China

Sergei Chernyi, Saint-Petersburg State Marine Technical University, Russia

Siamac Fazli, Nazarbayev University, Kazakhstan

Fatemeh Daneshfar, University of Kurdistan,Iran

Burns John, Clark University, USA

Nir Lipovetzky, The University of Melbourne, Australia

Hassan Mostafa, Al-Baha University, KSA

Samira Bahia, Deakin University, Australia

Huang, Fujian Normal University, China

Ahmed Albarbari, Arab Open University, Saudi Arabia

David Brander, Technical University of Denmark, Denmark

Gareth Callanan, Lund University, Sweden

Jeffrey Blankenship, Central Connecticut State University, USA

Lov Kumar, Birla Institute of Technology and Science, India

Goutam Sanyal, National Institute of Technology, Durgapur, India

Pradeep Kumar, National Institute of Technology, Raipur, India

Shen Liping, Shanghai Jiao Tong University, China

Ram Kumar Karsh, National Institute of Technology, Silchar, India

Yaregal Assabie, Addis Ababa University, Ethiopia

Daniel Burmester, Victoria University of Wellington, New Zealand

Debabrata Singh, Siksha 'O' Anusandhan, Bhubaneswar, India

Fenza, University of Salerno, Italy , Italy

JIANG Lingxiao, Singapore Management University, Singapore

P. Karthikeyan, National Chung Cheng University, TAIWAN

Roopesh Kevin Sungkur, University of Mauritius, Mauritius

Shruti Jain, Jaypee University of Information Technology, India

Ujjwal Manikya Nath, Jorhat Engineering college, India

NaMark Tamene, Debere Markos University, Ethiopia

Boujemâa Achchab, Hassan 1er University, Morocco

Debasis Tripathy, National Institute of Technology, Silchar, India

D'Angelo, University of Salerno, Italy

Kim Jindae, Seoul National University of Science & Technology, South Korea

Mara Abel, Universidade Federal do Rio Grande do Sul, Brazil

Nasser Tabook, Sultan Qaboos University, Oman

Roopesh Kevin Sungkur, University of Mauritius, Mauritius

Shuran Song, Columbia University, USA

U. Srinivasalu Reddy, NIT, Trichy, India

Yen Hsu-Chun, National Taiwan University, Taiwan

Wilver Auccahuasi, Universidad Continental, Peru

Debbie Perouli, Marquette University, USA

Giovanni Bacci, Aalborg University, Denmark

Junier Oliva, University of North Carolina, USA

Aneta Poniszewska-Maranda, Lodz University of Technology, Poland

Nikolaos Triandopoulos, Stevens Institute of Technology, USA

Prashant Kumar, National Institute of Technology, Durgapur

Sanjay Kumar, SRM University, Delhi-NCR

Sowmya V, Amrita Vishwa Vidyapeetham, India

Y. Lig Lin, Providence University, Taichung

Ajmer Saini, Deenbandhu Chhotu Ram University of Science and Technology, India

Mercado Rizza DC., University of the Philippines ,Philippines

Emily Graetz, University of Michigan, USA

James Papademas, Oakton community college, USA

Marcin Wozniak, Silesian University of Technology, Poland

Sarkar Nurul, Auckland University of Technology, New Zealand

Rasmita Dash, Siksha 'O' Anusandhan University, India

Sajjad Mahmood, King Fahd Univeristy Of Petroleum And Minerals, Saudi Arabia

Vincent Peter Magboo, University of the Philippines Manila, Philippines

Yoohwan Kim, University of Nevada, USA

Amir Kamil, University of Michigan, USA

Dolly Jorgensen, University of Nevada, USA

Chodak Grzegorz, Wrocław University of Science and Technology, Poland

Jyoti Prakash Singh, National Institute of Technology, Patna, India

Mayuri Kharde, National Institute of Technology, Tiruchirappalli,India

Ohue Masahito, Tokyo Institute of Technology, Japan

Sunil Gupta, University of Petroleum and Energy Studies, India

Ram Chandra Bhushan, MNNIT Allahabad, India

Laabadi Soukaina, Hassan II University - Casablanca, Morocco

Velliangiri S, SRM Institute of Science and Technology, Tamilnadu

Shamik Tiwari, University of Petroleum and Energy Studies, India

Yasir Zaki, New York University, Abu Dhabi

Akansha Singh, Bennett University, Greater Noida

S B Goyal, City University, Malaysia

Haibo Zhang, University of Otago, New Zealand

Scott Williams, Bradley University, USA

Bhuiyan Md, Fordham University,USA

Adarsh Kumar, University of Petroleum and Energy Studies, India

Pilipczuk Olga, Szczecin University,Poland

Rifat Shahriyar, Bangladesh University of Engineering and Technology, Bangladesh

Angelo Spognardi, "La Sapienza" University of Rome, Italy

Vinh Truong Hoang, Ho Chi Minh City Open University, Vietnam

Cheng Zixue, University of Aizu,Japan

Anup Kumar, National Institute of Technology, Raipur, India

Subarna Shakya, Tribhuvan University, Nepal

WANG Hai, Singapore Management University, Singapore

Justin Bradley, University of Nebraska-Lincoln, USA

Alok Aggarwal, University of Petroleum and Energy Studies, India

Mehmet Can Vuran, University of Nebraska-Lincoln, USA

Oriola Oluwafemi, Adekunle Ajasin University, Nigeria

Rajesh Kumar, Malaviya National Institute of Technology, Jaipur

Satya Prakash Sahu, National Institution of Technology, Raipur,India

Rajkumar Rajasekaran, Vellore Institute of Technology,India

Zena H. Khalil, University of Al-Qadisiyah, Diwaniyah

Ali Thaeer Hammid, Imam Ja’afar Al-Sadiq University, Iraq

E. Eisemann, Delft University of Technology, Netherlands

Jin-Cheol Heo, Keimyung University, South Korea

James Wills, Oakton community college, USA

Meenakshi Sood, National Institute of Technical Teachers Training & Research, India

Hsiung Pao-Ann, National Chung Cheng University,Taiwan

Ajay Prasad, University of Petroleum and Energy Studies, India

Bol Roland, Uppsala University,Sweden

Sreekanth Madisetti, Woosong University,South Korea

Vivek Tiwari, International Institute of Information Technology, Naya Raipur,India

Aliyu Olubunm, Adekunle Ajasin University, Nigeria

Gopalakrishnan E.A, Amrita Vishwa Vidyapeetham, India

HÃ¥rek Haugerud, Oslo Metropolitan University, Norway

Kiki Adhinugraha, La Trobe University, Australia

Namita Mittal, Malaviya National Institute of Technology, Jaipur

Pankaj Deshwal, Netaji Subhas Institute of Technology, New Delhi

Roland Depratti, Central Connecticut State University, USA

Kemal Polat, Bolu Abant Izzet Baysal University, Bolu, Turkey

Jerry W Sangma, University of Petroleum and Energy Studies, India

Sudeep Tanwar, Nirma University, India

Vivek Tiwari, International Institute of Information Technology, Raipur,India

Alok Singh, University of Oxford, UK

Elias Bareinboim, Columbia University, USA

Hossam Abdel Salam Diab, Taibah University, Saudi Arabia

K. Govinda, VIT University, Vellore

Michael J Dinneen, University of Auckland, New Zealand

Pardeep Kumar, Jaypee University of Information Technology, India

Maniaol Rozano S., University of the Philippines , Philippines

Suman Halder, NIT Durgapur, India

Viviane Pereira Moreira, Federal University of Rio Grande do Sul, Brazil

Aman Jatain, Amity University, Gurgaon,India

Parteek Gupta, University of Petroleum and Energy Studies, India

Mehofer Eduard, University of Vienna,Austria

Hyun Ki Hong, Chung-Ang University, Sourh Korea

Koppala Guravaiah, Indian Institute of Information Technology Kottayam, India

Mette Kaufmann Andersen, Aalborg University, Denmark

Pardeep Singh, National Institute of Technology, Hamirpur

Sadia Sharmin, Bangladesh University of Engineering and Technology, Bangladesh

Kaushik Ghosh, National Institute of Technology, Agartala,India

Vrijendra Singh, Indian Institute of Information Technology, Allahabad,India

Antonio Mana Gomez, University of Malaga, Spain

Enn Ounapuu, Tallinn University of Technology, Estonia

Tian Hui, Beijing Jiaotong University,China

Khalimjon Ergashevich Khujamatov, Tashkent University of Information Technologies, Tashkent

Rajeev Tiwari, University of Petroleum and Energy Studies, India

Rohit Tanwar, University of Petroleum and Energy Studies, India

Gourav Bathla, GLA University, India

Lesourd Martin, Clark University, USA

Partha Pakray, National Institute of Technology, Silchar,India

Prabir Saha, National Institute of Technology, Meghalaya,India

Suman Deb, National Institute of Technology, Agartala,India

Vytautas Bukšnaitis, Vytautas Magnus University, Lithuania

Amjad Mehmood, Kohat University of Science & Technology, Pakistan

Arpita Nagpal, GD Goenka University,India

You Ilsun, Soonchunhyang University,South Korea

Kise Kenji, Tokyo Institute of Technology, Japan

Monalisa Ghosh, National Institute of Technology, Durgapur,India

Vinh Phan Cong, Nguyen Tat Thanh University, Vietnam

Ashish Kumar Sahu, National Institute of Technology, Jamshedpur,India

Sushila Palwe, MIT World Peace University, India

Abhijit Kumar, University of Petroleum and Energy Studies, India

Wan Lanjun, Hunan University,China

Sunil Kumar, UPES, India

Mehmood Amjad, Kohat University of Science and Technology,Pakisthan

Jack Erskine, University of Canterbury, New Zealand

Ilya Ashikhmin, Norwegian University of Science and Technology, Norway

Ahmad Neyaz, University of Electronic Science and Technology of China, China

Mudasir Bhutt, University of Kasmir, India

Prafullata Auradkar, PES University, India

Sandeep Samantaray, National Institute of Technology, Srinagar

Wu Suzhen, Xiamen University,China

Wang Xiaolong, Harbin Institute of Technology, China

De Carvalho Andre Ponce de Leon F, Universidade de São Paulo,Brazil

Muhammad Fazal Ijaz, Sejon University Seoul, South Korea

Imran memon, zhejiang university , China

Sagonas Konstantinos, Uppsala University,Sweden

Mulugeta Libsie, Addis Ababa University, Ethiopia

Pranitha Boddu, National Institute of Technology, Warangal

Anuraj Jain, UPES, India

Jong-Ha Lee, Keimyung University, South Korea

Tannistha Pal, National Institute of Technology, Agartala

Meng Weizhi, Technical University of Denmark, Denmark

Aneas Riener, Technische Hochschule Ingolstadt, Germany

Kaushik Ghosh, UPES, India

Flávio Rech Wagner, Federal University of Rio Grande do Sul, Brazil

Mohd Abdul Ahad, Jamia Hamdard, New Delhi,India

Krishna Chaitanya Rao, University of Massachusetts Amherst, USA

Nallapaneni Manoj Kumar, City University of Hong Kong, Hong Kong

Preethi Ananthachari, Woosong University, Daejeon

Serge Gaspers, University of New South Wales, Australia

Tauseef Khan, Aliah University, Kolkata

Wha Sook Jeon, Seoul National University, South Korea

Deepika Koundal, UPES, India

Alexey Neznanov, HSE University, Russia

Kamińska Anna, Wrocław University of Science and Technology, Poland

Arjun Singh Saud, Tribhuvan University, Nepal

Ashar Khan, Sultan Qaboos University, Oman

Ashutosh Sharma, Southern Fedral University, Russia

Ashish Dutta, Malaviya National Institute of Technology, India

Ashis Kumar Das, Uttar Banga Krishi Viswavidyalaya, India

Ashwani Sharma, Insight Biosolutions,France

Auday Al-Dulaimy, Mälardalen University, Sweden

Muhammad Awais Javed, COMSATS, Islamabad

Premjith B, Amrita Vishwa Vidyapeetham, Kerala

Bach Le, The University of Melbourne, Australia

Gaurav Dhiman, Government Bikram College, Patiala, India

Riyadh Baghdadi, New York University, Abu Dhabi

Eswaran Balamurugan, University of Africa, Nigeria

Byung Jeong Lee, University of Seoul Engineering, South Korea

Chiranji Lal, Vellore Institute of Technology, Vellore,India

Sujatha krishnamoorthy, Wenzhou Kean University, Wenzhou, China

Honorary Patron

Sunil Rai, Chancellor, UPES, India

Honorary General Chair

Ram Sharma, Vice Chancellor, UPES, India

General Chairs

Vijayan K Asari, University of Dayton, Ohio, USA

Ravi S Iyer, UPES, India

Vasant Honavar, Penn State University, USA

Kuan Ching Li, Providence University, Taiwan

Rubén González, Universidad Internacional de La Rioja, Spain

Joseph Tan, McMaster University, Canada

Program Chair(s)

Selwyn Piramuthu, University of Florida, USA

Cheng, Qiang, University of Kentucky, USA

Jaime Lloret Mauri, Polytechnic University of Valencia, Spain

L V Subramaniam, IBM India Research Laboratory, India

Huchang LIAO, Sichuan University, China

Xiao Zhi Gao, University of Eastern Finland, Finland

Organizing Chairs

Vijendra Singh, UPES, India

Technical Chairs

Neelu J. Ahuja, UPES, India

Ajay Prasad, UPES, India

Sunil Gupta, UPES, India

Hanumat Sastry G, UPES, India

Alok Aggarwal, UPES, India

Priya Ranjan, UPES, India

Rajeev Tiwari, UPES, India

Publicity Chairs

Kaushik Ghosh, UPES, India

Rajeshkannan R, Vellore Institute of Technology, India

Manoj Kumar, University of Wollongong, Dubai, UAE

Sujatha Krishnamoorthy, Wenzhou Kean University, Wenzhou, China

Debabrata, Siksha 'O' Anusandhan, Bhubaneswar, India

Ayodeji Olalekan Salau, Afe Babalola University, Ado-Ekiti, Nigeria

Sponsorship Chairs

Pankaj Badoni, UPES, India

Saurabh Jain, UPES, India

Saurabh Shanu, UPES, India

Session Management Chair(s)

Shamik Tiwari, UPES, India

Sanjeev Kumar, UPES, India

Adrash Kumar, UPES, India

Anurag Jain, UPES, India

Deepika Koundal, UPES, India

Parteek Gupta, UPES, India

Ved Prakash Bhardwaj, UPES, India

Rohit Tanwar, UPES, India

Sonali Vyas, UPES, India

Finance Chair(s)

Abhijit Kumar, UPES, India

Achala Shakya, UPES, India

Priyanka Singh, UPES, India

Registration Chair(s)

Shiladitya Bhattacherjee, UPES, India

Shubhi Sharma, UPES, India

Hemant Petwal, UPES, India

Niharika Singh, UPES, India

Tarandeep Kaur Bhatia, UPES, India

Sahinur Rahman Laskar, UPES, India

Food Management committee Chair(s)

Amar Shukla, UPES, India

Rahul Kumar, UPES, India

Vidyanand Mishra, UPES, India

Stage Management committee Chair(s)

Sugandh Sharma, UPES, India

Shubhi Sharma, UPES, India

Tanu Singh, UPES, India

Workshop Chair(s)

Arjun Arora, UPES, India

Pallabi Sharma, UPES, India

Keynote Speakers

Prof. Vijayan K Asari

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.

Prof. Panos Liatsis

Dr Panos Liatsis is a Professor in the Department of Electrical Engineering and Computer Science at Khalifa University of Science and Technology. He received a Ph.D. degree in Electrical Engineering and Electronics from the University of Manchester, UK. Prior to joining Khalifa University, he was Department Chair and Professor at the Petroleum Institute, Head of Department of Electrical and Electronic Engineering and Professor at City, University of London, and faculty in the Department of Electrical Engineering and Electronics at the University of Manchester. Dr Liatsis’ research interests include machine learning, pattern recognition, and computer vision, with applications in biomedical image and signal processing, robotics, and intelligent transportation systems. He published over 350 research contributions in high-impact factor journals, books and international conference proceedings.

L C Mangal

LC Mangal, OS & Director DEAL, DRDO is a graduate of BITS Pilani and M. Tech in Communications SignalProcessing from IIT Kanpur. He joined DRDO in Oct1988. He has worked in design and development ofsatellite communication systems, combat net radios anddata links. He has led team for indigenous development of critical technologies of combat net radios, miniature satellite terminals, software defined hub baseband systems and a family of software defined radios. For last20 years many critical technologies were realized such Crypto controlledfrequency hopping based ECCM, Software defined satellite modems and Adhocnetworking protocols.He has received many prestigious awards - Agni Award for Excellence in SelfReliance (2005), DRDO Award for Performance Excellence (2006), AgniAward for Excellence in Self-Reliance (2010) and Agni Award for Excellencein Self-Reliance (2018) as team leader for Ship borne SDR.Currently he is streamlining the development of various militarycommunication systems (SATCOM Terminals, Datalinks and Radios) throughstandardized software defined hardware and software subsystems. Towards thishe is spearheading the development of SDR software standard at national level.

Prof. Anuj Srivastava

Dr. Anuj Srivastava, a distinguished research professor in the Department of Statistics, has been elected as a 2022 IMS Fellow, joining a class of 39 other researchers from around the world. Srivastava was recognized for his fundamental contributions to geometrical statistics including shape analysis, functional data analysis and statistics on manifolds and for his leadership and service to the profession.Anuj Srivastava received the MS and PhD degrees in electrical engineering from the Washington University in St. Louis, in 1993 and 1996, respectively. He is a professor in statistics with the Florida State University in Tallahassee, FL. After spending the year 1996–97 with the Brown University as a visiting researcher, he joined FSU as an assistant professor in 1997. His research is focused on pattern theoretic approaches to problems in image analysis, computer vision, and signal processing. Specifically, he has developed computational tools for performing statistical inferences on certain nonlinear manifolds. He is a fellow of IAPR.

Prof. Madan Gopal

Dr. M. Gopal, Ex-Professor, IIT Delhi, is a globally known academician with excellent credentials as an author, teacher, and researcher. Books authored by Prof M. Gopal on Control Systems, Machine Learning and Deep Learning have been recommended as the core text widely across various Indian universities and institutes. Some of his books have also been reprinted by international publishers and prescribed as text in many other countries, including USA, Australia, Singapore, and Taiwan. His video course “Lecture Series in Control Engineering” (http://www.youtube.com/iit) is one of the most popular NPTEL courses by the IIT faculty. More than a million students, teachers, researchers, and practitioners have used his books and the video course for knowledge acquisition over the past more than four decades. A recognized researcher in the areas of Machine Learning and Control Systems, Prof M. Gopal is the author/co-author of over 150 research papers; the key contributions have been published in various high impact factor journals. He has supervised 16 doctoral research projects (7 of them in the Machine Learning area). His current research interests are in the areas of Deep Learning, Deep Reinforcement Learning, Robotics and Automation. Prof M. Gopal has been the Founding Director of the School of Engineering at Shiv Nadar University Delhi NCR, where he made significant contribution towards designing the curriculum and building the academic infrastructure of the School. His teaching and research stints span about five decades at prestigious institutes and universities including IIT Delhi (three decades), IIT Bombay, BITS Pilani, MNIT Jaipur, Shiv Nadar University Delhi NCR, Universiti Teknologi Malaysia, and City University London. He is currently associated with UPES as a Distinguished Professor, School of Computer Science.

Dr. B K Murthy

Dr. B. K. Murthy is currently working as GM(Projects) at NIXI-CSC Data Services Ltd before that he was CEO, Innovation and Technology Foundation, IIT Bhilai, Chhattisgarh. He worked in the Ministry Electronics and IT (MeitY), Government of India for 35 year and took VRS as Senior Director (Scientist G) and Group Coordinator (R&D in IT and NKN). He is responsible for promotion of R&D in the area of IT; implementation of the Visvesvaraya PhD Fellowship scheme; National Knowledge Network, Digital India Infoway,Centre for Development of Advanced Computing and National Institute of Electronics & Information Technology. Dr. Murthy spearheaded for bringing out the National Strategy on Blockchain Technology from the Ministry of Electronics and IT which was released in December 2021. Dr Murthy is Currently Adjunct Professor at IIITDM, Kurnool teaching courses CSE and in AI& Data Science. During July 2012 to Feb 2016he was holding the charge of Executive Director, C-DAC, Noida Centre, on deputation fromMeitY. As the Head of the Noida Centre of C-DAC, he was responsible for policy formulation, planning, Design, Development, implementationand deployment of various R&D Projects. He was awarded Ph.D. degree by IIT Delhi. He is instrumental in the initiation of e-learning activities and contributed for the incorporation of Media Lab Asia (currently Digital India Corporation). He also served as Executive Director, National Institute of Electronics and IT, (NIELIT erstwhile DOEACC). He was a member of Technical Committee & Project Approval Board of National Mission on Education through ICT (NMEICT), MHRD; He served as member of Board of Governors Indira Gandhi Technological University for Women, Delhi, IIITs at Allahabad, Gwalior, Kurnool, Kanchipuram. He also served as Guest faculty at IIT Roorkee, IIIT Gwalior, IP Univ. etc. About 30 awards were been received by him interalia Manthan Award 2012, Rajasthan State e-governance award 2012; Skoch Order of Merit (2013); CSI Nihilent e-Governance in 2013; Indian Merchants' Chamber Award 2013; e-north East Award for 2015.E -SafeT Device, developed by C-DAC, Noida has been adjudged as Most Innovative Security Product of the Year 2013 which also fetched the 5theGovSecureIT 2014 Award, Reengineering India Award, 2014; Skoch Award of Excellence (2014); Tamper Evident Recorder project was awarded as the most Innovative Technology of the year 2015. The Virtual Class Room project for conducting Medical Education classes at RIMS Imphal and NEIGHRIMS Shillong has been awarded as Best Projects of North East (2016). Dr. Murthy has been conferred prestigious VASVIK Industrial Research Award for the year 2020 in the Information and Communication Technology.

Dr. Syed A Chan Bukhari

Dr. Bukhari is the Director of Research at CCPS St. John's University, New York. He received his Ph.D. in Computer Science from the University of New Brunswick, Canada, and completed his postdoctoral fellowship at Yale University, USA. He was also a core research team member at CEDAR Metadata Center, Stanford University, USA. With the Stanford team, he studied scientific experimental reproducibility and completed several projects to improve biomedical data FAIRness and reproducibility. Dr. Bukhari received NIH (ORISE) NCBI fellowship in 2016 to work at National Center for Biotechnology Information (NCBI), Bethesda. Dr. Bukhari developed protocols and pipelines (MiAIRR, CAIRR, and CEDAR-to-NCBI ) for the standardized authoring, validating, and submitting scientific data to the NCBI repositories with NCBI Scientists. His developed resources are now considered de facto resources for several biomedical communities such as AIRR-C & Antibody society. At St. John's University, he teaches healthcare Informatics and computer science to graduate and undergrad students. His current research efforts focus on addressing several core problems in healthcare informatics and data science. Dr. Bukhari has received multiple internal and external grants to support his research efforts. His lab has recently received an NSF grant to work on biomedical content authoring and structured publishing.

Workshop



Workshop: 01

Title: Advancing AI for Medical Image Analysis

Resource Person, University of South Australia, Australia

Ivan Lee

Ivan Lee is an Associate Professor at STEM, and the Technology Development Leader of the Sustainable Infrastructure and Resource Management (SIRM) research concentration at University of South Australia. He is a REDI Fellow in 2022/2023. He received BEng, MCom, MER, and PhD degrees from the University of Sydney, Australia. He was a software development engineer at Cisco Systems, a software engineer at Remotek Corporation, and an Assistant Professor at Ryerson University. His research interests include intelligent sensor, multimedia system, and data analytics. He was a recipient of The Vannevar Bush Best Paper Honorable Mention of 2020 Jointed Conference on Digital Libraries (JCDL); the Lockheed Martin Best Paper Award of 2015 SPIE Defense + Security, Automatic Target Recognition XXV; and the Best Paper Award of 2007 Pacific-Rim Conference on Multimedia. He held leadership roles in the organisation of international conferences, including the General Co-Chair of 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), the General Chair of 2013 Australasian Computer Science Week (ACSW), and the Program Co-Chair of the 2008 ACM International Conference on Image and Video Retrieval (CIVR). He currently serves on the committee of National Computational Merit Allocation Scheme (NCMAS) in Australia..



Workshop: 02

Title: Artificial Intelligence and Quantum for Sustainability

IBM Resource Persons, IBM Research Lab, India

L Venkata Subramaniam

Venkat is working as IBM Quantum India Leader at IBM Research Lab, New Delhi. He received the B.E. degree in Electronics and Communication Engineering from Mysore University, the M.S. degree in Electrical Engineering from Washington University, St. Louis, USA, and the Ph. D. degree in Electronics from the Indian Institute of Technology, New Delhi, India. I joined IBM Research India in 1998 where I currently lead a team of world class researchers developing Neuro Symbolic AI and Quantum AI technologies. I am also an IBM Master Inventor. He is on the Board of Studies of DAIICT, Gandhinagar, since 2020. He was on the Senate of IIIT Delhi 2013-2015. He has been on PhD thesis committees in IIT Madras, India, DAIICT, India, IIT Delhi, India, Univ of Maryland, Baltimore County, USA, and IIIT Delhi, India.

Trapti Kalra

Trapti Kalra is the Artificial Intelligence Leader and IBM Quantum Ambassador at IBM. She possesses a well grounded experience in Applied and Generative AI, and is exploring Quantum ML Technology and its applications for Client use cases. She is an Open Group certified Distinguished Data Scientist, IBM Certified Qiskit Developer, holds patents in AI, and helps her Clients build their strategy around AI and applied Quantum ML. She possesses a strong technical acumen, the ability to understand business imperatives, high degree of learnability in emerging technology. Trapti is an electrical engineer with MS in IT and has 23 years of industry experience..

Tanveer Khan

Tanveer has a strong hands-on experience in building Scalable Artificial Intelligence Based Solutions including Deep Learning, Machine Learning, Edge computing and Recommendation systems.He has solved many complex problems in the area Computer Vision and NLP in an innovative way. Most of the solution He built have been deployed in Production and are being used by Clients. Tanveer’s area of interest is AI on Edge. One of the AI solution built by Tanveer had a won Best Customer Experience initiative award in World Retail Congress At Madrid (2018 – Sponsored by google). For this solution Tanveer has received Major Outstanding Technical Achievement Award from IBM CEO Mrs. Ginny Rometty. This is the highest technical recognition in IBM globally. Tanveer has taken multiple internal trainings AI for various geographies and cotaught course for IIMU. Mentored multiple Data Scientists and had been involved in building AI practice in IBM by taking interviews of Potential hires. Tanveer has one granted Patent, 4 filed patents and 3 defensive publications. He is also a part of Robotics and AI Invention Disclosure committee that is responsible for evaluating potential patents. Tanveer believes in sharing knowledge and learning from others experience.



Workshop: 03

Title: Computing with EEG- A Case Study on Affective Multimedia Content Analysis and Motor Rehabilitation

Priya Ranjan

Priya Ranjan graduated from IIT Kharagpur, India and earned his advanced degrees of MS (EE) and Ph.D. (ECE) at the University of Maryland, College Park, USA in 1999 and 2003 respectively. His latest interest is in biological computation, oncological multimedia processing, MRI, EEG and ECG processing along with his ICMR senior research fellow (SRF) Ms. Arti Taneja, Research Scholars Mr. Burhan, Mr. K. D. Shrivasatava etc. in a lab titled Health Analytics and Data Vizualization Environment (HAVE) he established jointly with Prof. Rajiv Janardhanan in 2018.In particular his emphasis is on developing software tools for affordable early detection of different reproductive cancers, heart malignancies, mental anomalies using EEG and EcoG signals. He has been helping biologists and pathologists by designing and implementing user interfaces friendly to their way of working and generating innovative results for next generation of analysis for bio-professionals. He truly believes that a multi-way productive collaboration with biologists, public health professionals and clinical scientists with bio-informatics and bio-computational suite of tools will lead to next knowledge revolution for humanity towards better health facilitation. He has also written a search tool for exploring Ayurved related documents under a DST training program which was well appreciated by Vaidyas for Gurukul Kangri. He has received many large project awards from some of the most reputed agencies like National Science Foundation (NSF), DARPA (Credited with development of the Internet), ICMR, Delhi University, and DBT.

Sanjay Kumar

Sanjay Kumar is an Assistant Director and the group leader for Cognition and Cognitive Neuroscience research group at the Centre for Psychological Research at Oxford Brookes University, UK. He has a wide expertise in Cognitive and Clinical Neurosciences with specific focus on EEG/ERP and TMS investigations and Neuropsychological assessments. He is module leader and key contributor to several undergraduate and postgraduate modules.



Workshop: 04

Title: Augmented Reality Development: Marker-Based AR with Vuforia and Unity 3D

Anmol Srivastava

Dr. Anmol Srivastava specializes in Human-Computer Interaction. In 2019, he received his Ph.D. from India's pioneering UE and HCI Lab at IIT Guwahati. He is the founder and director of Creative Interfaces Lab in the Department of Human Centred Design at IIITD. Anmol explores emerging technologies' potential to facilitate utility, usability, and creative self-expression in various contexts and use cases. His research output has received several awards at the national and international levels. His current research focuses on AR/VR, the Metaverse, and Tangible User Interfaces.

Paper Submission

A. Guidelines for Paper Submission

(1) Authors are invited to submit their paper electronically using a Procedia Computer Science 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. Authors should add the session id on the upside of the title of the manuscript if they wish to submit it under a special session.



(2) All submissions must be made electronically through the 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.


(3) All manuscripts submitted to ICMLDE 2023 will undergo a peer-review process and the submitted manuscript will be reviewed by at least three reviewers. The review process will be double-blind.

(4) The page limit for papers is a minimum of 3(Three) pages and a maximum of 10(Ten) pages Additional pages per paper above the Ten(10) page limit will be charged at a rate of 1,100 Indian rupees per page respectively.

(5) The acceptance of the paper will be released after completion of peer review process.

B. PLAGIARISM POLICY

Before submitting the paper, it should be checked for plagiarism using licensed plagiarism tools such as Turnitin. The content similarity should not exceed 10%. In an article, any type of self-plagiarism or plagiarism from others' work(s) should be avoided. If you incorporate a model, concept, figure, table, data, or concluding statement from a previously published work, make sure to correctly cite the source research work. Also, the language you use to explain it should not be the same as the language used in the research work from which you adapted it. You should get permission from the copyright owners before utilizing any copyrighted material.

C. Publications and Indexing

Full and Short papers will be triple-blind reviewed by the scientific committee and externel reviewers. All accepted papers of International Conference on Machine Learning and Data Engineering will be published in Procedia Computer Science, Journal by Elsevier .

D. About Indexing:

Contributions will be indexed by Elsevier Procedia Scopus and Clarivate Conference Proceedings Citation Index – Web of Science (former ISI Thomson) and will be available on Sciverse ScienceDirect. For Procedia SCOPUS Indexing related queries, authors can contact them via email at https://service.elsevier.com/app/overview/scopus/. Procedia Computer Science has an h-index of 109 and it has a citescore of 4.

E. Best Paper Award:

(i). A regular best paper award is given to the paper that contributes the most to the conference.

(ii). A best student paper award is given to the paper deemed to have made the most significant contribution to the conference, where the main author is a student.

(iii). The judges’ decision is final and they will not enter into any discussion about their findings.

Special Session

S.no Session ID   Details of Special Session
1. ICMLDE.001 Topic Machine Learning and Applications
Session Chairperson Dr. Rajkumar R
Members Dr. E. Sathiyamoorthy
Organization VIT University, Vellore, India
e-Mail vitrajkumar@gmail.com; esathiyamoorthy@vit.ac.in
2. ICMLDE.002 Topic Machine Learning Applications for Healthcare Data Analytics
Session Chairperson Dr Premjith B
Members Dr Sowmya V; Dr Gopalakrishnan EA; Dr Jyothish Lal G
Organization Amrita Vishwa Vidyapeetham, Coimbatore, India
e-Mail b_premjith@cb.amrita.edu;
v_sowmya@cb.amrita.edu;
ea_gopalakrishnan@blr.amrita.edu
3. ICMLDE.003 Topic Deep Learning based Smart Healthcare Systems
Session Chairperson Dr. Debabrata Singh, Prof. Bibhudatta Sahoo and Dr. Nibedan Panda
Members
Organization Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India;
National Institute of Technology, Rourkela,India;
KIIT Deemed to be University, Bhubaneswar,India
e-Mail debabratasingh@soa.ac.in;
bdsahu@nitrkl.ac.in;
nibedan.pandafcs@kiit.ac.in
4. ICMLDE.004 Topic Deep Learning and Data Engineering for knowledge discovery
Session Chairperson Dr. Akansha Singh and Dr. Krishna Kant Singh
Members
Organization Bennett University, India;
Amity University, Noida, India
e-Mail akanshasing@gmail.com; krishnaiitr2011@gmail.com
5. ICMLDE.005 Topic Evolving Smart Technologies in Data Engineering
Session Chairperson Dr. Meenakshi Sood and Dr.Shruti Jain
Members
Organization National Institute of Technical Teachers Training & Research,
Ministry of Education, Govt. of India, Chandigarh, India ;
Jaypee University of Information Technology,India.
e-Mail meenakshi@nitttrchd.ac.in; shruti.jain@juitsolan.in
6. ICMLDE.006 Topic Recent advancement toward healthcare Informatics
Session Chairperson Prof. Neetu Sardana
Members Dr. Ankit Vidyarthi
Organization Jaypee Institute of Information Technology, Noida, India
e-Mail neetu.sardana@jiit.ac.in; ankit.vidyarthi@jiit.ac.in
7. ICMLDE.007 Topic Smart Healthcare Systems
Session Chairperson Dr. Sujatha Krishnamoorthy
Members Dr. Nasser Mustafa
Organization Wenzhou Kean University, China
e-Mail krishnsu@kean.edu;
namustaf@kean.edu
8. ICMLDE.008 Topic Advancements in Generative Artificial Intelligence: A Paradigm Shift from Language Processing towards Creative Generation Models
Session Chairperson Dr. Pronaya Bhattacharya and Dr. Sudeep Tanwar
Members
Organization Amity University, Kolkata, India;
Nirma University, Ahmedabad, Gujarat, India
e-Mail pbhattacharya@kol.amity.edu; sudeep.tanwar@nirmauni.ac.in
9. ICMLDE.009 Topic Machine Learning and IoT for Computer Vision
Session Chairperson Dr. Velliangiri Sarveshwaran and Dr Karthikeyan Periyasamy
Members
Organization SRM Institute of Science and Technology, Kattankulathur Campus,India;
National Cheng Chung University, Taiwan
e-Mail vellians@srmist.edu.in; karthi@ccu.edu.tw
10. ICMLDE.010 Topic Recent Advancements in Data Analysis
Session Chairperson Dr. A. Rama
Members Dr. V. Rajinikanth and Dr. K. Suresh Manic
Organization SIMATS Deemed University, Chennai, India;
National University of Science and Technology, Oman
e-Mail ramaa.sse@saveetha.com;
v.rajinikanth@ieee.org;
sureshmanic@nu.edu.om
11. ICMLDE.011 Topic Application of Machine Learning to Engineering Innovations
Session Chairperson Dr. Ayodeji Olalekan Salau
Members
Organization Afe Babalola University, Ado-Ekiti, Nigeria
e-Mail ayodejisalau@abuad.edu.ng
12. ICMLDE.012 Topic Machine Learning-Based Framework for Gathering and Leveraging Intelligent Web Data
Session Chairperson Dr. Sherin Zafar
Members
Organization Jamia Hamdard, New Delhi, India
e-Mail sherin.zafar@jamiahamdard.ac.in
13. ICMLDE.013 Topic Biomedical Data Analysis Using Machine Learning
Session Chairperson Dr. Sushila Palwe
Members
Organization MIT World Peace University, Pune, India
e-Mail sushila.palwe@mitwpu.edu.in
14. ICMLDE.014 Topic ML-Enabled Intelligent Computing for Emerging Applications
Session Chairperson Dr. Manoj Diwakar
Members Dr. Prabhishek and Dr. Anchit
Organization Graphic Era deemed to be University, Dehradun, India;
Bennett University, Greater Noida, India;
British University Vietnam, Hanoi, Vietnam
e-Mail manoj.diwakar@gmail.com;
prabhisheksingh88@gmail.com;
anchit.b@buv.edu.vn
15 ICMLDE.015 Topic Machine Intelligence for IoT and Blockchain
Session Chairperson Dr. Gaurav Dhiman
Members Dr. Giridhar Reddy Bojja and Dr. Surbhi B. Khan
Organization Chandigarh University, India;
Dakota State University, USA;
University of Salford, Manchester, UK
e-Mail gdhiman0001@gmail.com;
giridhar.bojja@trojans.dsu.edu;
S.Khan138@salford.ac.uk
16. ICMLDE.016 Topic Deep Learning Advances in Computer Vision and IoT
Session Chairperson Dr. Deepak Arora and Dr. Puneet Sharma
Members
Organization Amity University, Lucknow, India;
Amity University, Noida, India
e-Mail deepakarora@live.co.uk;
dr.puneetsharma9@gmail.com
17. ICMLDE.017 Topic Machine Learning in Bioinformatics
Session Chairperson Dr. B. Surendiran and Dr. Sweeti Sah
Members Dr. Lakshmana Kumar Ramasamy
Organization National Institute of Technology, Puducherry, India;
Higher Colleges of Technology, UAE
e-Mail surendiran@nitpy.ac.in
18. ICMLDE.018 Topic Machine Learning Architecture for Pattern Recognition
Session Chairperson Dr. Nikhil Kumar
Members Dr. Renato R. Maaliw III
Organization Indian Institute of Information Technology, Bhopal, India;
Southern Luzon State University, Quezon, Philippines
e-Mail nikhilsinghmanit@gmail.com;
rmaaliw@slsu.edu.ph
19. ICMLDE.019 Topic Inspecting and Debugging in Deep Learning and Machine Learning Models
Session Chairperson Dr. Mohit Mittal
Members Dr. Kanika Bhalla
Organization Knowtion GmbH, Germany;
Washington University in St. Louis, School of Medicine, USA
e-Mail mittal.mohit02@gmail.com;
bhalla@wustl.edu
20. ICMLDE.020 Topic Machine Learning IoT Services
Session Chairperson Dr. Dawid Połap and Dr. Deepika Koundal
Members Dr. Natalia Wawrzyniak
Organization Silesian University of Technology, Poland;
UPES, India;
Maritime University of Szczecin, Poland
e-Mail Dawid.Polap@polsl.pl;
dkoundal@ddn.upes.ac.in;
n.wawrzyniak@pm.szczecin.pl
21. ICMLDE.021 Topic Application of Deep learning and Machine learning for Healthcare Analytics
Session Chairperson Dr. Priyanka Rastogi
Members Dr. Ginni Arora
Organization Manav Rachna International Institute of Research & Studies, India
e-Mail priyankarastogi.fet@mriu.edu.in;
ginnisehgal.fet@mriu.edu.in
22. ICMLDE.022 Topic Advancements in Medical Image Analysis using Deep Learning
Session Chairperson Dr. Shubham Mahajan
Members
Organization Noroff University College, Norway
e-Mail mahajanshubham2232579@gmail.com
23. ICMLDE.023 Topic Advanced Machine Learning Techniques for EEG-based Brain-Computer Interfaces
Session Chairperson Dr. Gagan Vishwakarma
Members Dr. Ismail Keshta
Organization Indian Institute of Information Technology, Bhopal, India;
AlMaarefa University, Riyadh, Saudi Arabia
e-Mail gagan.manit2020@gmail.com;
imohamed@mcst.edu.sa
24. ICMLDE.024 Topic Advancement of human disease prediction using the Internet of medical things (IoMT)
Session Chairperson Dr. Ankur Gupta
Members Dr. Syed Rameem Zahra and Dr. Rahul Kumar
Organization Netaji Subhas University of Technology, New Delhi, India;
Rajiv Gandhi Institute of Petroleum Technology, Amethi, India
e-Mail ankur.gupta@nsut.ac.in
25. ICMLDE.025 Topic Machine Learning Applications and Intelligent Technologies
Session Chairperson Dr. Priyanka Kumar
Members Dr. Suman Bhunia, Dr. P N Kumar and Dr. Rimjhim Padam
Organization University of Texas, Texas, USA;
Miami University, Oxford, USA;
Amrita Vishwa Vidyapeetham, India
e-Mail priyanka.kumar@utsa.edu;
bhunias@miamioh.edu;
pn_kumar@cb.amrita.edu
26. ICMLDE.026 Topic Decoding Human Actions: Advancements in Human Activity Recognition
Session Chairperson Dr. Kulvinder Singh and Dr. Rohit Tanwar
Members Dr. Mazdak Zamani
Organization Kurukshetra University, India;
UPES, India;
Felician University, New Jersey, USA
e-Mail ksingh2015@kuk.ac.in;
rohit.tanwar.cse@gmail.com;
ZamaniM@felician.edu
27. ICMLDE.027 Topic Federated learning for IoMT-applications
Session Chairperson Dr. T. Poongodi
Dr. D. Sumathi
Dr. Runumi Devi
Dr. B. Balamurugan
Members
Organization Galgotias University, Delhi-NCR, India;
Vellore Institute of Technology, Andhra Pradesh, India;
Shiv Nadar University, Delhi-NCR,India
e-Mail tpoongodi2730@gmail.com;
sumathi.research28@gmail.com;
runumimony@gmail.com;
kadavulai@gmail.com

Registration

Registration Fee
Category Registration Deadline(As per notification on or before 30 October 2023)
INDIAN DELEGATES (INR)
Regular Author 11000
Students Author 10000
Industry Professional 12000
Listener (Non-Author/Co- Author/General Participants) 4000 (per person)
INTERNATIONAL DELEGATES (US $)
Regular Author 350
Students Author 300
2nd paper, Author from other countries 250
Listener (Non-Author/Co- Author/General Participants) 150
WORKSHOP
Registered Authors of ICMLDE 2023
(Certificate will be provided for all the participants)		 Free
Non-Author/General Participants 4000(Indian Rupees)per person
Payment of Registration

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 info@icmlde.org.

Online Transfer for authors from India
Name of Beneficiary ICMLDE CONFERENCE
Name of the Bank YES Bank
Branch Name IFC, 8th Floor Sb Marg, Mumbai
Complete Postal Address Yes Bank Tower, IFC2, 8th Floor Sb Marg Elphinstone, Mumbai, 400013
Account No. of Beneficiary UPESUK877777852
IFSC Code YESB0CMSNOC
Type of Account Savings
NOTE: [Make a NEFT Transaction only]
Wire Transfer from outside India (For Foreign Authors Only)
Name of Beneficiary UPES
Purpose ICMLDE CONFERENCE
Name of the Bank YES Bank
Account No. of Beneficiary 011594600000224
Branch Code 000115
Branch IFSC Code YESB0000115
Swift Code YESBINBB
Type of Account Savings
Complete Postal Address Ground Floor, 56, Rajpur Road, Dehradun, Uttarakhand, India- 248001

Contact Us

For Enquiry :

Dr. Vijendra Singh
Organizing Chairs
School of Computer Science,
University of Petroleum & Energy Studies,
P.O. Bidholi Via-Prem Nagar
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Email id: info@icmlde.org;
vijendra.singh@ddn.upes.ac.in
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