ICEODS-19: International Conference on Engineering Optimization and Data Science Rajasthan, India Jaipur, India, October 11-12, 2019 |
Conference website | http://www.iceods.com/ |
Submission link | https://easychair.org/conferences/?conf=iceods19 |
Poster | download |
Abstract registration deadline | October 1, 2019 |
Submission deadline | October 7, 2019 |
International Conference onEngineering Optimization and Data Science (ICEODS-2019) aims to bring together all leading academic scientists, researchers and research scholars to exchange and share their experiences and research results in the area of Artificial Intelligence (AI) and Machine learning. Focused on a cross-industry discussion, the conference will provide a platform to learn proven case studies and success stories across industries and the risks and potential in AI, Machine Learning and Soft Computing. The conference plays role of main axis to bridge the gap between two global knowledge antipodes, the academia and the industry. It also works as pool of information, which in future processed and stored as knowledge into the minds of participants and readers of the proceedings. The Conference will not only take stock of trends and developments at the globally competitive environment. Besides, it will help in sharing of experience and exchange of ideas, which will foster National and international collaborations. The Conference would be of immense benefit to Management, Researchers, Academicians, Industry and participants from Technical Institutes, R & D Organizations and students working in the field of AI.International Conference onEngineering Optimization and Data Science (ICEODS-2019) aims to bring together all leading academic scientists, researchers and research scholars to exchange and share their experiences and research results in the area of Artificial Intelligence (AI) and Machine learning. Focused on a cross-industry discussion, the conference will provide a platform to learn proven case studies and success stories across industries and the risks and potential in AI, Machine Learning and Soft Computing. The conference plays role of main axis to bridge the gap between two global knowledge antipodes, the academia and the industry. It also works as pool of information, which in future processed and stored as knowledge into the minds of participants and readers of the proceedings. The Conference will not only take stock of trends and developments at the globally competitive environment. Besides, it will help in sharing of experience and exchange of ideas, which will foster National and international collaborations. The Conference would be of immense benefit to Management, Researchers, Academicians, Industry and participants from Technical Institutes, R & D Organizations and students working in the field of AI.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference.Abstract of the paper must be typed in a single space in maximum 300 words. The full text of the paper must not exceed 12 pages of A4 size in single space using Times New Roman font size 12 including abstract, appendices, tables, illustrations and photographs. Original and unpublished scholarly work and presented papers would be considered for possible inclusion in following platforms:
- Special issue (Recent Advances in Engineering Optimization and Data Science for a Sustainable Future Development) of International Journal of Swarm Intelligence (IJSI) (ISSN online 2049-405X ISSN print 2049-4041), Inderscience, UK. Special Issue
- Research Papers will also be considered for publication in SKIT RESEARCH JOURNAL(AN INTERNATIONAL JOURNAL OF ENGINEERING, SCIENCES, HUMANITIES AND MANAGEMENT, INNOVATION & EXCELLENCE. SKIT Research Journal
Full papers research findings, results, experimental case studies,innovative designs, paradigm shift technologies and research areas in data science and optimization are welcome.Following are the key areas:
- Foundations, algorithms, models and theory of data science, including big data mining.
- Machine learning and statistical methods for big data.
- Machine Learning algorithms and models. Neural Networks and Learning Systems. Convolutional neural networks.
- Unsupervised, semi-supervised, and supervised Learning.
- Knowledge Discovery. Learning Representations. Representation learning for planning and reinforcement learning.
- Metric learning and kernel learning. Sparse coding and dimensionality expansion. Hierarchical models. Learning representations of outputs or states.
- Multi-objective optimization. Optimization and Game Theory. Surrogate-assisted Optimization. Derivative-free Optimization.
- Big data Mining from heterogeneous data sources, including text, semi-structured, spatio-temporal, streaming, graph, web, and multimedia data.
- Big Data mining systems and platforms, and their efficiency, scalability, security and privacy.
- Computational optimization. Optimization for representation learning. Optimization under Uncertainty.
- Optimization algorithms for Real World Applications. Optimization for Big Data. Optimization and Machine Learning.
- Applications in social sciences, physical sciences, engineering, life sciences, web, marketing, finance, precision medicine, health informatics, medicine and other domains.
Patrons
- Shri. Raja Ram Meel, Patron, SKIT.
- Shri. Surja Ram Meel, Chairman, SKIT.
Committees
Program Committee
- Dr. Dhanraj Chitara
- Dr. Dhanraj Chitara
- Dr. Sarfaraz Nawaj
- Mrs. Smriti Jain
- Mr. Abhishek Gupta
- Mr. Tarun Naruka
- Mr. Bharat Modi
- Mr. Jinendra Rahul
- Mr. Avadhesh Sharma
- Mr. Gaurav Kansal
- Mr. Ajay Bharadwaj
- Ms. Pooja Jain
- Mrs. Rammurti Meena
- Mr. Yusuf Sharif
- Mrs. Deepti Arela
- Mr. Vivek Sharma
- Mr. Tarun Chheepa
- Ms. Kavita Jain
- Mr. Garvit Gupta
- Mr. Ramesh Prakash
- Mr. Vikas Mahala
- Mr. Manish Navlakha
- Mr. Akash Deo
- Mr. Mohd. Imran
- Ms. Baibhav Bishal
- Mr. Jitendra Singh
- Mr. Deepak Saini
Local Advisory Committee
- Shri. Jaipal Meel, Director, SKIT
- Prof. S.L. Surana, Director (Academics), SKIT
- Prof. Ramesh Kr. Pachar, Principal, SKIT
- Smt. Rachna Meel, Registrar, SKIT
- Smt. Abba Meel, Advisor, SKIT
- Prof. Hemlata Dullar ,Principal (Pharmacy), SKIT
- Prof. N.K. Banthiya, Head PAQIC, SKIT
- Prof. M.L. Bhargava, Advisor, SKIT
- Prof. S.N. Vijayvergiya, Dean (Research), SKIT
- Prof. N.C. Bhandari, HOD (ME), SKIT
- Prof. L.N. Datt, HOD (CE), SKIT
- Prof. S. K. Bhatnagar, HOD (ECE), SKIT
- Prof. C. M. Choudhary, HOD (CS), SKIT
- Prof. Anil Choudhary, HOD (IT), SKIT
- Prof. Rohit Mukherjee, In charge I year, SKIT
- Prof. R.K. Jain, HOD (Physics), SKIT
- Prof. Archana Saxena, HOD (Chemistry), SKIT
- Dr. Neha Purohit, HOD(English), SKIT
- Dr. Savita Choudhary, Professor, MBA, SKIT
Organizing Committee
- Dr.Akash Saxena Profile: Dr. Akash Saxena
- Mr. Ankit Vijay
- Mr. Abhishek Gupta
- Ms. Pooja Jain
National and International Advisory Committee
- Dr. R. C. Bansal, College of Engineering, University of Sharjah
- Dr. Ali Asghar Heidari
- Dr. Seyedali Mirjalili, Torrens University, Australia
- Dr. Supawud Nedphokaew, Rajamangala University of Technology, Phra Nakhon Bangkok, Thailand.
- Dr. Mohammad Israr, Sur University College, Sultanate of Oman
- Dr. Ali Rıza Yıldız, Uludağ University, Bursa, Turkey
- Dr. Ameena AL Sumaiti, Khalifa University, UAE
- Dr. Deepak Dahiya, Professor of Computer Science and Information Systems Al' Majmaah, Kingdom of Saudi Arabia
- Dr. B. K. Panigrahi, IIT, Delhi.
- Dr. Kusum Deep, IIT Roorkee.
- Dr. Rajesh Kumar, MNIT, Jaipur.
- Dr. K. R. Niazi, MNIT, Jaipur.
- Dr. Ghanshyam Singh, MNIT Jaipur.
- Dr. Vinay Pratap Singh, MNIT, Jaipur.
- Dr. Vivek Srivastava, NIT, Delhi.
- Dr. Nilanjan Dey, Techno India College of Technology, Kolkata.
- Dr. Swagatam Das, Indian Statistical Institute, Kolkata.
- Dr. Jagdish Bansal, South Asian University, New Delhi.
- Dr. D. K. Palwalia, RTU, Kota.
- Dr. Dinesh Birla, RTU, Kota.
- Dr. Annapurna Bhargava, RTU, Kota.
- Dr. Harish Sharma, RTU, Kota.
- Dr. Jitendra Kumar Deegwal, Govt. Engineering College, Ajmer.
- Dr. Shail Dinkar, G. B. Pant Engineering College, Uttarakhand.
- Dr. R. Asokan, Kongunadu College of Engineering and Technology, Trichy.
- Dr. Balasubramani R, NMAM Institute of Technology, Nitte, Karnataka.
- Dr. Indira Routaray, C V Raman college of Engineering, Bhubaneswar.
- Dr. Suhas B. Dhande, Punyashlok Ahilyadevi Holkar Solapur University, Solapur, Maharashtra
- Dr. Ajay Kumar, Graphic Era Hill University, Dehradun.
- Dr. J.Shivakumar, Hyderabad Institute of Technology & Management, Hyderabad.
- Dr. PVS. Srinivas, Sreenidhi Institute of Science and Technology, Hyderabad.
- Dr. Neena Panandikar, Don Bosco College of Engineering, Goa.
- Dr. Dharmadas Mandal, Techno India, Salt Lake, Kolkata.
- Dr. N. Sudhakar Reddy, SV College of Engineering, Tirupati, Andhra Pradesh.
- Dr. P Sudha Rani, AQJ Centre for PG Studies, Visakhapatnam, Andhra Pradesh.
- Dr. Ujjawal K. Kalla, Government Engineering College, Bikaner.
- Dr. Ajay Sharma, Govt. Engineering College, Jhalawar.
- Dr. M. S. Aspalli, PDA College of Engineering, Gulbarga.
- Dr. Praveen Agarwal, Anand International College of Engineering, Jaipur.
- Dr. Reema Jain, Manipal University, Jaipur.
- Dr. Shahbaz Ahmed Siddiqui, Manipal University, Jaipur.
- Dr. Dinesh Yadav, Manipal University Jaipur.
- Dr. Deepak Gupta, Maharaja Agrasen Institute of Technology, Delhi.
- Dr. S. D. Mane, GirijaBai Sail Institute of Technology, Karnataka.
- Dr. Baldev Singh, VIT Campus.
- Dr. Sanjay Bajpai, LNCT-MCA, Bhopal.
- Dr. R. A. Thakker, Government Engineering College, Rajkot, Gujarat.
- Dr. Pushpendra Singh, JKLU, Jaipur.
- Dr. Virendra Sangtani, PCE, Jaipur.
- Mr. Ashish Singhal, SISTEC, Bhopal.
- Dr. Soniya Lalwani, BKIT, Kota
Technical Sponsors
- Soft Computing Research Society (SCRS) SCRS
- The institute of Electronics and Telecommunication Engineers (IETE)
- Institution of Engineering India (RSC)
Invited Speakers
- Dr. Rajesh Kumar Profile: Dr. Rajesh Kumar,MNIT,Jaipur
- Dr. Swagatam Das Profile: Dr. Swagatam Das,ISI,Kolkata
- Dr. Jagdish Chand Bansal Profile: Dr. Jagdish Chand Bansal, South Asian University,New Delhi
- Dr. Jayashri Vajpai
Contact
All questions about submissions should be emailed to iceods@skit.ac.in. Other relevant details can be fetched from ICEODS