Special Session Details

Session Title Social Intelligence & Sustainability
Session Chairperson

Dr. Adwitiya Sinha
Dr. Adwitiya Sinha has completed Ph.D. from School of Computer & Systems Science (SCSS), Jawaharlal Nehru University (JNU) New Delhi, India. She was also awarded with Senior Research Fellowship (SRF) from Council of Scientific & Industrial Research (CSIR), New Delhi. She is presently working as Assistant Professor (Senior Grade) in Department of Computer Science, Jaypee Institute of Information Technology (JIIT), Noida, Sector 62, Uttar Pradesh, India. She has been organizing & conducting special sessions in several international conferences as chairperson and session chair for invited sessions. She has also delivered lectures series in The Consortium for Educational Communication (CEC), University Grants Commission (UGC) and gave several invited talks in The Human Resource Development Centre (HRDC), JNU, New Delhi; on sensor networks and social media sciences. She has been promoted to IEEE Senior Member in 2019 by The Institute of Electrical and Electronics Engineers (IEEE), New York, USA. Her major research interest lies in Sustainable Computing, Social Networking, Large-scale Graph Analytics & Algorithms, Data Science and Wireless Sensor Networks.
Affiliation Jaypee Institute of Information Technology, Noida, Sector-62, Uttar Pradesh – 201301
Contact Detail [email protected] [email protected]

Session Title Recent trends in Computational Intelligence and Data Sciences
Aim This session draws researchers and application developers from a wide range of data mining and computational Intelligence related areas along with their algorithms and applications of current issues of almost all branches of Engineering and Technology. Awareness of Data Science and its application is becoming popular among the general population. Parallel offers of hope add woes to the researchers of Data Science due to the potential limitations experienced in the real-time.
Session Chairperson

Dr. Gopal
Dr. Gopal received the B.E. degree in electronics and communication engineering in 2009 and the M.Tech. degree in Microwave and optical communication from Delhi Technological University (formerly known as Delhi College of Engineering), New Delhi, India, in 2012 and Ph.D. in Biometrics at division of Instrumentation and Control engineering, Netaji Subhas Institute of Technology, University of Delhi, India. Now, He is working as assistant professor in Bharati Vidyapeeth's College of Engineering, Guru Gobind Singh Indraprastha University. He is the author of a number of publications in journals and conferences in the area of Biometrics and its applications. His current research interests include soft computing, data mining and pattern recognition.
Contact Detail Email ID: [email protected], Mobile: 8373902293

Session Title Machine Learning towards Engineering Applications
Aim Aim of this session is to provide a platform where researchers can contribute and present good quality research publications in the area of machine learning from different perspectives. During last decade, machine learning has dominated all fields of computer science and engineering starting from medical image analysis to cyber security and cloud computing. Machine learning has become a pivotal tool to analyse voluminous amount of data emerging from heterogeneous sources. The aim of this special session is to encourage researchers from diverse domains such as academia, industry and government to share and contribute innovative ideas for solving real-world problems with the broad aim of helping the society and nation at large.
Session Chairperson

Dr. Kavita Khanna
Dr Kavita has more than 19 years of experience in teaching, administration and research. Currently she is Head of Department and Associate Professor with Department of Computer Science and Engg. at The NorthCap University, Gurugram. She has done her PhD from Guru Gobind Singh Indraprastha University, Dwarka, New Delhi. She has to her credit around 50 publications in reputed journals and conferences including Elsevier, Springer and Taylor & Francis. She has guided 21 M.Tech and 2 PhD students in their research work. She is working on a sponsored consultancy project, on medical image diagnostics using machine learning, which is financially supported by DST with a grant of around 20 Lakh. Her research areas include artificial neural networks, computer graphics, design digital image processing and analysis of algorithms. Apart from teaching and research she has pursued her interest in music and people by working as a Radio Jockey with All India Radio FM Gold for 17 years. She believe that there is no end to learning and this motivates her to attend various National and International Conferences, Workshops and Faculty Development Programs. She is a member of the professional bodies including CSI and ACM.
Contact Detail Email: [email protected] Mobile: 9717469161

Session Title Applications of Computational Science
Aim The main aim of this session is to promote scientific and educational research activities towards the advancement of Computational science. Computational science is a rapidly emerging multidisciplinary area that makes use of advanced computing capabilities to solve complex natural problems and therefore it is the most active region of design and research in the world. The objective of the session intends to cultivate and promote an instructive and productive interchange of ideas regarding various applications of computing science amongst researchers, academicians and developers. It aims to provide a common intellectual platform for researchers in academia, engineers and researchers from a wide range of application areas to enable them to present their latest research findings in the areas computational science & other related fields to identify future challenges in these areas.
Session Chairperson

Dr. Manisha Bharti
Dr Manisha Bharti has completed her B.Tech in Electronics & Communication Engineering from Guru Nanak Dev University, Amritsar in 2002, M.Tech in Electronics & Communication Engineering from Punjab Technical University, Jalandhar in 2007. She received her Doctorate in 2017 from IKG Punjab Technical University, Jalandhar in the field of Optical Communication and Networks. Her area of research include Optical communication and networks, Analog, digital and broadband communication circuits, optical signal processing and VLSI. Dr. Bharti has over 16 years of experience in Academics. She worked as Assistant Professor for 7+ years at Ambedkar Institute of Advanced Communication Technologies & Research, Delhi, under Govt. of NCT of Delhi and is currently working as Assistant Professor in National Institute of Technology (NIT), Delhi. At present, she is guiding 3 research scholars for their PhD degree. She has also guided many M.Tech and B.Tech students for their projects in different areas. She has published more than 30 research papers in journals/conferences proceedings (International and National).
Contact Detail Email ID: [email protected], [email protected] Mobile: 9990344355

For More Details Contact:

email: [email protected]

Important Dates


Submission Deadline:
Nov 20, 2019 (Submissions are closed now)

Notification of acceptance / rejection:
Dec 15, 2019 Jan 10,2020

Last Date of Registration:
Dec 26, 2019
Dynamic, based on the date of paper acceptance confirmation sent to the participants.

Camera ready paper submission:
Jan 07, 2020