First International Conference
on

Communication, Cloud, and Big Data

CCB-2020


[Fourth National]

18-19 December 2020

https://ccb.smit.org.in
Download Brochure

CONFERENCE DETAIL

We have great pleasure in informing you that Department of Information Technology, Sikkim Manipal Institute of Technology is organizing First International Conference on Communication, Cloud, and Big Data (CCB) 2020 during 18-19 Dec 2020 at Sikkim Manipal Institute of Technology, Majitar, East Sikkim, Sikkim, India. This edition of the conference is the fourth in the series. Earlier three editions (2014, 2016, & 2018) were organized at national level with the title National Conference on Communication, Cloud, and Big Data. Proceedings of first edition of CCB in the year 2014 was published by ACCB publishing England, and subsequent proceedings (2016 & 2018) were published by Springer Nature (LNNS series, Scopus Indexed). The proceedings CCB 2020 is going to be published by Springer Nature (LNNS Series, Scopus Indexed).

ABOUT SIKKIM

Sikkim is a landlocked hill station in the Himalayan terrain. The state borders Nepal to the East, China's Tibet Autonomous Region to the North and East and Bhutan to the Southeast, while the state of West Bengal lies to the South. Sikkim was a British protectorate, before merging with Indian union following a referendum in 1975. With around 7,00,000 populations as of 2017, it is the least populous state in the country. Sikkim is nonetheless geographically diverse due to its strategic location in Himalayas; the climate ranges from subtropical to high alpine; and Kanchenjunga, the world's third-highest peak, is located on Sikkim's border with Nepal. It proves itself to be a tourism hotspot owing to its culture, natural scenery, hill beauty and biodiversity.

ABOUT SIKKIM MANIPAL UNIVERSITY (SMU)

Sikkim Manipal University (SMU) was established in 1995 via an Act of Sikkim Government and is recognized by UGC under section 2(f) of the UGC Act. SMU is a part of renowned Manipal Group that has made its mark in the field of education and health services in India and abroad. The University offers quality education to the aspirants around the globe and especially from North and North Eastern part of India. It was set up with the aim of imparting exemplary educational opportunities and healthcare services in the state of Sikkim and its neighbouring region. SMU is a result of the collaboration of Government of Sikkim with Private Partner, Manipal Academy of Higher Education (MAHE) in the form of PPP (Public Private Partnership).

ABOUT SIKKIM MANIPAL INSTITUTE OF TECHNOLOGY (SMIT)

Sikkim Manipal Institute of Technology (SMIT) was established in 1997 as a constituent college of Sikkim Manipal University (SMU) and is approved by AICTE. SMIT had the distinction of prestigious accreditation for engineering disciplines by National Board of Accreditation (NBA)/ACCR-860/06 dated 22 January 2008. SMIT has ISO 9001 certification vide AS/NZS ISO 9001:2008/ISO 9001:2008 for all its courses. SMIT is located at Majitar, near Rangpo, the border town of Sikkim with West Bengal. The institute’s location on the bank of river Teesta, surrounded by green hills, adds to colour and vibrancy of the campus, making it an ideal place for learning. It is safe, secured and provides an excellent academic environment. SMIT offers courses in Engineering, Management and Basic Sciences. Academic excellence is imparted by 200 plus fulltime faculty members comprising of an erudite mixture of Post Doctorates, Doctorates and Post Graduates. The research environment is dynamic and is supported through sponsored projects from different funding agencies in the country.

ADVISORY BOARD (INTERNATIONAL)
  • Prof. Eyad H. Abed, University of Maryland, USA
  • Prof. Valentina E Balas, Aurel Vlaicu University of Arad, Romania
  • Prof. Vincenzo Piuri, University of Milan, Italy
  • Prof. Sohail S. Chaudhry, Villanova University, USA
  • Prof. Vishanth Weerakkody, University of Bradford, UK
  • Prof. George Ghinea, Brunel University London, UK
  • Prof. N P Rana, University of Bradford, UK
  • Prof. Zdzislaw Polkowski, Jan Wyzykowski University, Polkowice, Poland
ADVISORY BOARD (NATIONAL)
  • Prof. Pushpak Bhattacharyya, Professor, Department of CSE, IIT Bombay
  • Prof. Arun Kumar Pujari, Vice Chancellor, Central University of Rajasthan
  • Prof. Malay Ananda Dutta, Professor, Department of Computer Science IIIT Guwahati
  • Prof. Rajib Mall, Professor, Department of Computer Science and Engineering, IIT Kharagpur
  • Prof. Sukumar Nandy, Professor, Department of Computer Science and Engineering IIT Guwahati
  • Prof. S. B. Nair, Professor, Department of Computer Science and Engineering IIT Guwahati
  • Prof. Sarada P Sarma, Department of Industrial and Systems Engineering, IIT Kharagpur
  • Prof. S. K. Ghosh, Professor, Department of Computer Science and Engineering, IIT Kharagpur
  • Prof. Shyamanta M Hazarika, Department of Mechanical Engineering, IIT Guwahati
  • Prof. S. K. Nandy, Professor, Department of Computational and Data Sciences, IISc, Bangalore
  • Prof. Shikhar Kumar Sarma, Professor, Gauhati University, Assam
  • Prof. Subir Kumar Ghosh, Department of Computer Science, Professor, Ramakrishna Mission Vivekananda Educational and Research Institute, Howrah, West Bengal
ADVISORY BOARD (LOCAL)
  • Prof. Prof. K. S. Sherpa, Registrar, Sikkim Manipal University
  • Prof. Sangeeta Jha, Associate Director (i/c) (Academics), SMIT
  • Prof. Ratika Pradhan, Associate Director (SA), SMIT
  • Prof. Kalpana Sharma, HOD, Department of Computer Science & Engineering, SMIT
  • Prof. C. T. Singh, Professor (Department of Computer Science & Engineering) & CEO (AIC), SMIT
  • Prof. S Dhar, HOD, Department of Electronics & Communication Engineering, SMIT
  • Md. Nasir Ansari, HOD, Department of Electrical & Electronics Engineering, SMIT
  • Prof. P. C. Pradhan, Department of Electronics & Communication Engineering, SMIT
  • Dr. Ruben Phipon, HOD, Department of Mechanical Engineering, SMIT
  • Prof. C. Bhuyan, HOD, Department of Civil Engineering, SMIT
  • Prof. Utpal Deka, HOD, Department of Physics, SMIT
  • Prof. Sanjoy Dahal, HOD, Department of Chemistry, SMIT
  • Prof. A R Choudhury, HOD, Department of Mathematics, SMIT
  • Dr. Bedanta Borah, HOD, Department of Management Studies, SMIT
PROGRAM COMMITTEE
  • Dr. S. R. Biradar, Professor, Department of Information Science and Engineering, SDM College of Engineering, Dharwad, Karnataka
  • Dr. Shashank Pushkar, Assistant Professor, Department of Computer Science and Engineering, BIT Mesra, Jharkhand
  • Dr. Pranati Rakshit, Assistant Professor, JIS College of Engineering, Kalyani, WB
  • Dr. Rashmi Dutta Baruah, Assistant Professor, Department of Computer Science and Engineering, IIT Guwahati, Assam
  • Dr. Jamal Hussain, Professor, Department of Mathematics and Computer Science, Mizoram University, Aizawl, Mizoram
  • Dr. Hemanta Kumar Kalita, Professor, Department of Computer Science & Engineering, CIT, Kokrajhar, Assam
  • Dr. Bubu Bhuyan, Associate Professor, Department of Information Technology, North Eastern Hill University (NEHU), Shillong, Meghalaya
  • Dr. Iftekhar Hussain, Associate Professor, Department of Information Technology, North Eastern Hill University (NEHU), Shillong, Meghalaya
  • Dr. Swarup Roy, Associate Professor, Department of Computer Application, Sikkim University, Sikkim
  • Dr. L. J. Singh, Associate Professor, Department of Electronics and Communication Engineering, North Eastern Hill University (NEHU), Shillong, Meghalaya
  • Dr. S. K. Singh, Professor, Department of Mathematics, NIT Patna, Bihar
  • Dr. Nitul Dutta, Professor, Department of Computer Engineering, Marwadi University, Gujarat
  • Dr. Ajay Kumar Professor, Department of Mechatronics, MUJ, Jaipur, Rajasthan
  • Dr. B. Deb, Associate Professor, Department of Mathematics, Sikkim Manipal Institute of Technology, Majitar, Sikkim
  • Dr. B. S. Paul, Associate Professor, Department of Electrical and Electronic Engineering Technology, University of Johannesburg, South Africa
  • Dr. Rohit Bhatnagar, Professor, Department of Computer Science and Engineering, MUJ, Jaipur, Rajasthan
  • Dr. Mousum Handique, Assistant Professor, Department of Computer Science and Engineering, Assam University, Silchar, Assam
  • Dr. V. K. Nath, Associate Professor, Department of Electronics and Communication Engineering, Tezpur University, Tezpur, Assam
  • Dr. Pankaj Chettri, Professor, Department of Mathematics, Sikkim Manipal Institute of Technology, Majitar, Sikkim
  • Dr. Avik Bhattacharya, Assistant Professor, Department of Electrical Engineering, IIT Roorkee, Uttarakhand
  • Dr. Anand Sharma, Mody University, Rajasthan
  • Dr. Priya Ranjan, Professor, SRM University Amaravati, Andhra Pradesh
LOCAL ORGANIZING COMMITTEE
  • Ashis Datta, Assistant Professor, Department of IT, SMIT, Sikkim
  • Dr. Bhaskar Bhuyan, Associate Professor, Department of IT, SMIT, Sikkim
  • Chandralika Chakraborty, Associate Professor, Department of IT, SMIT, Sikkim
  • Chitrapriya Ningthoujam, Assistant Professor, Department of CSE, SMIT, Sikkim
  • Diganta Baruah, Associate Professor, Department of IT, SMIT, Sikkim
  • Dr. Md. Ruhul Islam, Associate Professor, Department of CSE, SMIT, Sikkim
  • Minakshi Roy, Assistant Professor, Department of CSE, SMIT, Sikkim
  • Prativa Rai, Associate Professor, Department of CSE, SMIT, Sikkim
  • Dr. Rustam Ali Ahmed, Assistant Professor, Department of IT, SMIT, Sikkim
  • Sonam Lamu Bhutia, Assistant Professor, Department of IT, SMIT, Sikkim
  • Panajy M, Assistant Professor, Department of IT, SMIT, Sikkim
  • Parashjyoti Bora, Assistant Professor, Department of CSE, SMIT, Sikkim
  • Tawal Kumar Koirala, Assistant Professor, Department of CSE, SMIT, Sikkim
  • Dr. Udayan Baruah, Associate Professor, Department of IT, SMIT, Sikkim
  • Naiwrita Borah, Assistant Professor, Department of IT, SMIT, Sikkim
  • Dr. Samarjeet Borah, Professor, Department of Computer Application, SMIT, Sikkim
  • Dr. O. P. Singh, Associate Professor, Department of Electronics and Communication Engineering, SMIT, Sikkim
THEME
CCB is an event organized once in every two years. Each edition of CCB shall work around one specific THEME.
THEME of CCB 2020
"RESEARCH ON NEXT GENERATION NETWORKS: OPPORTUNITIES & CHALLENGES"
OBJECTIVE
CCB '2020 aims at bringing academicians, researchers, engineers, practitioners and motivated students under one umbrella so that exchange of new ideas, recent developments, novel research results, and modern practices in communication, cloud computing, big data and related areas can take place. Healthy discussions, relevant information sharing, and sharing of experiences with novel technologies are expected to happen during CCB '2020.

CCB '2020 also aims at creating a common platform for motivated people through which research and development activities in the areas of communication, cloud computing, big data and relevant fields can accelerate, so that this platform becomes able to contribute towards the growth of the society as a whole.
DOCUMENTATION & ARCHIVAL
The research papers to be presented during CCB'2020 are going to be published in the form of a book with ISBN, by SPRINGER in LNNS Series. The papers shall be made available to the world through web based digital archival system.

The discussions and recommendations of the eminent speakers shall be documented and also made available in the web through digital archival system.
IMPORTANT DATES
  • Full Paper Submission: 12 NOVEMBER 2020
  • Notification of Acceptance: 20 NOVEMBER 2020
  • Camera Ready Full Paper Submission for Accepted Papers: 29 NOVEMBER 2020
  • Registration Deadline: 30 NOVEMBER 2020
  • Conference: 18-19 DECEMBER 2020
  • Papers may be submitted to [ [email protected] ]

THRUST AREAS

The thrust areas of CCB 2020 include the following (but not limited to):

COMMUNICATION

Wired and Wireless Communication Systems; Physical Layer issues; MAC Layer issues; Network / Routing Layer issues; Transport Layer issues; Application Layer issues; Mobile Communication; Ad Hoc Networks; Sensor Networks; Mesh Networks; Information Centric Networks; Internet of Things (IoT); Security Issues in Communication Systems; Energy Efficiency in Communication Systems; Nano Communication Systems.

CLOUD

Cloud Computing Architecture; Cloud Computing Platform; Cloud Applications (Business, Social); Mobile Cloud Storage; Data and Analytics Clouds; Self-Service Cloud Portal; Security; Privacy; Compliance Management for Public, Private, and Hybrid Clouds; Resource Sharing; Cloud Quality Management and Service Level Agreement (SLA); Cloud Configuration, Performance and Capacity Management; Cloud Migration; Cloud Composition, Federation, Bridging; Cloud Resource Virtualization and Composition; High Performance Cloud Computing; Cloud Programming Models and Paradigms; Green Cloud Computing; Autonomic Business Process and Workflow Management in Clouds; Innovative Cloud Applications; Economic, Business and ROI Models for Cloud Computing.

BIG DATA, OPEN DATA

Big Data Architecture; Big Data as a Service; Big Data Modelling; Big Data Analytics; Big Data Open Platforms; Big Data for Enterprise Transformation; Big Data in Business Performance Management; Big Data for Business Model Innovations and Analytics; Big Data for Vertical Industries (Government, Health Care etc.); Big Data and Social Networks; Big Data in Enterprise Management Models and Practices; Big Data in Government Management Models and Practices; Big Data Search & Mining Methods; Security and Privacy in the era of Big Data, Open Data Research, e-Governance, m-Governance.

REGISTRATION
Per Paper From within India From Abroad
Researchers from Academic / Research Institution INR 5000.00 USD 200
Personnel from Industry / Corporate INR 8000.00 USD 300
Ph.D Student/ Student INR 3000.00 USD 150
Non-AUTHOR PARTICIPANT REGISTRATION:
  • For STUDENT: INR 2000.00
  • OTHERS: INR 2500.00
EACH REGISTRATION AS CONFERENCE DELEGATE RECEIVES
  • PUBLICATION OF ONE PAPER IN THE CONFERENCE PROCEEDINGS
  • CONFERENCE KIT WITH CONFERENCE PROCEEDINGS
ONLINE TRANSFER

The appropriate amount may be transferred to the following bank account in the name of CCB 2020.

  • A/c No- 1234 XXXX 45XX 67XX
  • Bank Name- Union Bank of India
  • Branch- Sikkim Manipal Institute of Technology
  • IFSC - UBIN0558834

[An email, attaching the scanned copy of the bank receipt / with details of the transaction, also mentioning NAME, CONTACT ADDRESS & PAPER ID (if AUTHOR only), may be sent to the following email id: [email protected]]


ON SPOT REGISTRATION BY PAYING CASH
  • Non-author participant registration can also be done at the Conference Venue, on 18 & 19 December 2020, by paying the appropriate amount in CASH or through ONLINE TRANSFER. Such participants are expected to inform the organizers before the registration deadline (30 NOVEMBER 2020), by sending an email to the following email id: [email protected]

HOW TO SUBMIT PAPERS

Each paper should not exceed a maximum length of EIGHT PAGES (A4 Size) in single column format.
Each paper should have an abstract followed by maximum of 5 keywords.
PAPERS should be submitted, latest by the deadline, to any one of the following email addresses:
[email protected]

Or
Upload Manuscript by Google-Form

ABOUT THE DEPARTMENT OF INFORMATION TECHNOLOGY

Department of Information Technology started in the year 1999, offering Bachelor of Technology (B.Tech.) programme in Information Technology. The department started offering Master of Technology (M.Tech) programme in Information Technology in the year 2001. At present, the department is also offering B.Sc (IT), M.Sc (IT), Diploma in e-Governance (DeG), and Doctoral (Ph.D.) programme in Information Technology.

The department is equipped with six different laboratories named as Basic Computing Laboratory, Data Communication Laboratory, Soft Computing Laboratory, Artificial Intelligence Laboratory, Distributed Systems Laboratory, and RFID & Smart Card Laboratory. Faculty members are active in different research areas like Networks, Distributed Computing, Data Mining, Image Processing, Pattern Recognition, Speech Processing, Robotics, Information Security, VLSI, RFID etc.

Passed out students are working in various corporate houses and government departments handling responsible positions and spread across the globe. Some are established as entrepreneurs. Students are also successful in acquiring higher degrees in the fields of technology and management from different reputed Universities across the world.

Students are trained to cope up with today's competitive world. Along with academics students are given enough opportunities to take part in extra-curricular activities. The students of the department organize several technical and cultural events spread throughout each academic year, under the banner of students' body FORUM 2K. Department of Information Technology offers a positive and inspiring environment essential for education and research.

KEYNOTE SPEECH

Speaker: Prof. (Dr.) Priya Ranjan
Professor, SRM University, Amaravati, AP, India

P Ranjan

Dr. Priya Ranjan (M’1997) graduated from IIT Kharagpur (EE, 1997, Est.: 1954), West Bengal, India and earned M.S. (EE) and Ph.D. (ECE) degrees from the University of Maryland, College Park, USA (Est.: 1856) in 1999 and 2003, respectively. He was introduced to control theory by well-known and researchers including Prof. K.B. Dutta of EE-IITKGP, and to nonlinear dynamics by Prof. Soumitro Banerjee ( Bhatanagar Awardee). To pursue his passion in discovering new ideas in control theory and applications, he joined the Center for Artificial Intelligence and Robotics (CAIR, Bangalore), a DRDO lab under the tutelage of Prof. M. Vidyasagar. To continue and expand his studies, in 1997 he moved to the Computer Aided Control Systems Engineering (CACSE) lab at the Institute for Systems Research (ISR) at the University of Maryland under the guidance of Prof. E.H. Abed where he would spend the next twelve years in Maryland in various capacities. There, his work was supported by leading government funding agencies including NSF and DARPA, apart from multiple grants from various branches of the US Department of Defense. His work in nonlinear analysis of networking protocols pursued a non-conventional narrative, where non-linearity is an intrinsic property of network technologies, and the system plays the role of protagonist. His work revealed fabulous interactions of system dynamics with delays, which are naturally present in remotely operated networked systems. These interactions generate a beautiful canvas of behaviours in infinite dimensions. He managed to discover a constant which is the current limit for global stability in the presence of arbitrary delays, work which proudly stands on the shoulders of research legends like Kelley, Sharkovsky, Mallet-Paret and Ivanov, to move towards more general and realistic engineering cases. His latest interest is in biological computation and oncological image processing. He has been helping biologists and pathologists by designing and implementing user interfaces friendly to their way of working and generating innovative results for the 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 the next knowledge revolution for humanity towards facilitation of better health services. He has received many large project awards from some of the most reputed agencies like National Science Foundation (NSF)-USA, DARPA (credited with leading development of the Internet)-USA, Delhi University, DBT, DST-RFBR, ICMR etc. He has authored more than fifty research articles in different international conferences around the world.

Title: Gradient Descent as Engine of Deep Learning

Abstract: In this speech, we demonstrate the role of optimization techniques in Deep Learning using some simple examples. Under this renewed context of deep learning, basic notion of Gradient Descent algorithm will be demonstrated in the framework of largely smooth optimization for both constrained and unconstrained cases. Further, role of convexity in optimization will be highlighted and noisy version of Gradient Descent will be illustrated towards minimizing the error function which appears naturally in the course of Deep Learning. Primitive computational techniques and algorithmic implementations will also be hinted at. Some hands on example regarding these optimization schemes and their application to deep learning will be demonstrated.

Speaker: Dr. Gautam Srivastava
Associate Professor, Brandon University, CANADA

Dr._Gautam_Srivastava

Dr. Gautam Srivastava was awarded his B.Sc. degree from Briar Cliff University in U.S.A. in the year 2004, followed by his M.Sc. and Ph.D. degrees from the University of Victoria in Victoria, British Columbia, Canada in the years 2006 and 2011, respectively. He then taught for 3 years at the University of Victoria in the Department of Computer Science, where he was regarded as one of the top undergraduate professors in the Computer Science Course Instruction at the University. From there in the year 2014, he joined a tenure-track position at Brandon University in Brandon, Manitoba, Canada, where he currently is active in various professional and scholarly activities. He was promoted to the rank Associate Professor in January 2018. Dr. G, as he is popularly known, is active in research in the field of Data Mining and Big Data. In his 8-year academic career, he has published a total of 160 papers in high-impact conferences in many countries and in high-status journals (SCI, SCIE) and has also delivered invited guest lectures on Big Data, Cloud Computing, Internet of Things, and Cryptography at many Taiwanese and Czech universities. He is an Editor of several international scientific research journals. He currently has active research projects with other academics in Taiwan, Singapore, Canada, Czech Republic, Poland and U.S.A. He is constantly looking for collaboration opportunities with foreign professors and students. He is an IEEE Senior Member and his research is currently funded by the Natural Sciences and Engineering Research Council of Canada (NSERC).

Title: Blockchain Technology for EMR and the Internet of Medical Things

Abstract: The healthcare industry has been demanding cutting edge technologies since time immemorial. Medical hardware & software, medication, surgical procedures, and the quality of care available to patients even in recent time need further development. In this talk, we will examine how Blockchain Technology may play the role of game changer for the Medical profession. The technology most commonly associated with Bitcoin could actually transform how we manage electronic medical records (EMR). Blockchain based EMR has the potential to bring fundamental changes to the healthcare industry for good. Here, we will look at the pros as well as the cons of such implementations. We will dive into current research that is ongoing in this growing field, and try to predict future directions this research may take.

INVITED SPEECH

Dr._Rajeeb_Dey.png

Dr. Rajeeb Dey
Assistant Professor, NIT Silchar, Assam, INDIA

Dr. Rajeeb Dey Dey obtained his B. Tech in Electrical Engineering from NERIST, M.Tech in Control Engineering from IIT Kharagpur, and PhD in Control Engineering from Jadavpur University. He did his post doctorate from the department of Automatic control, Centre of research and advanced studies (CINVESTAV) at Mexico City during 2015-2016. He is a recipient of TWAS (The world Academy of Science) Italy post-doc fellowship in 2015. During 2018 - 2020 he was visiting faculty under ERASMUS+ program of European Union to Aurel Vlaicu University of Arad, Romania. In 2020 August he has been appointed as a visiting faculty by Aurel Valicu University to undertake collaborative research and academic activities with the university. Dr. Dey has published 5 books and research monographs with Springer. He has published 25 research articles in SCIE journals, around 16 research articles in reputed conferences, 5 book chapters and published 1 Indian patent. Dr. Dey has been granted 04 GIAN (Global Initiative for Academic Networking) program by the MHRD (Ministry of Human Resource and Development) GoI during 2016-2019, thereby he established international relation with many universities across the world for academic and research activities with NIT Silchar. His research interest are Time-delay control, Control applications in Biomedical Engineering, Machine learning and data science in control engineering and Psychological modelling and dynamics.

Title: Artificial Pancreas: The need of Computation for decision making

Abstract: The Artificial Pancreas System (APS) is a technology in development to help people with type 1 diabetes (T1D), to automatically and continuously control their blood glucose level by providing the substitute endocrine functionality of a healthy pancreas. To accomplish this objective, a complex decision making process is involved in a highly uncertain dynamical human metabolic system. This talk will explore the idea of creating mathematical model from the physiological understanding of the glucose-insulin metabolism and further extending the talk to the paradigm of control computation for making decision to infuse appropriate insulin dosage for a varying and uncertain parameter conditions. The mathematical treatment of the computational algorithm will be cut short and only the philosophies developed by the authors will be discussed. The APS technology development is currently a challenging area of research in the domain of bio-medical computation around the globe.
Dr_Rajiv_Janardhanan.png

Dr Rajiv Janardhanan
Director, Amity Institute of Public Health, Amity University Uttar Pradesh, Noida, INDIA

Dr Rajiv Janardhanan Dr.Rajiv obtained his Ph.D from University of Delhi in 2003 with specialization in the areas of Microbial Ecology and Bioprospecting. Subsequently, he went to premier institutions in countries such as United States of America for advanced training in interdisciplinary areas of signal transduction pertaining to in vitro and in vivo studies on unmet clinical needs and epigenetics (in premier institutions such as Mayo Clinic Foundation, Rochester, MN). He joined Amity University in 2012 as a Professor in Amity Institute of Biotechnology and since 2014, he is heading the Amity Institute of Public Health. He is an associate editor of Cardiovascular Toxicology and is an ad-hoc reviewer in many science citation indexed journals. His current research interests include Restenosis, Fibrosis, Diabetes, Renal Physiology, Cell Biology, Signal Transduction, Vascular Biology, Bioprospecting, and Artificial Intelligence. His research is currently funded by Department of Biotechnology, Government of India and Indian Council of Medical Research, Government of India.

Title: Intelligent Decision Support Systems as a Platform for Sustainable Healthcare

Abstract: India is a vast country with complex socio-economic characteristics that are reflected in its medical systems. These include an insufficient number of primary care doctors practicing in rural and semi-urban areas and consequently about 70% of the population that lives in rural areas, in particular, has limited access to adequate health care. This is further compounded by the fact that the out-of-pocket expenditure constitutes around 80% of the total healthcare spending. This is a matter of grave concern as Health in India stands at a paradoxical juncture. We believe that the use of Information and Communication Technologies (ICT) for health (eHealth) has the potential to improve all these areas, that is facilitate access to quality health care and to health information as well as improve the quality of health-related data, as has been demonstrated in other Low and Middle Income countries. The adoption of Intelligent Decision Support Systems based delivery of health-related services not only involves remote clinical participation, that may enable the timely diagnosis to enable suitable involve mobile communications technology, commonly known as mobile Health (m-health) but also help in triaging patients in the order of urgency.
Dr._Malay_Ranjan_Tripathi

Dr. Malay Ranjan Tripathi
Professor, Amity University Uttar Pradesh, Noida, INDIA

M. R. Tripathy is a PhD from the Department of Electronic Science, Delhi University, Delhi, India, since 2000. He worked as a postdoctoral researcher at LPCE, CNRS, Orleans, France, for two years. Apart from this, he has worked as faculty in different engineering colleges in and around Delhi, India. Currently, he is working as Professor in Electronics and Communication Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, India. He used to organize and chair sessions in PIERS since 2014. He worked as organizing member of various IEEE and Scopus indexed conferences in India and abroad. He has delivered invited talks in Ming Chi Technical University, New Taipei, Taiwan, Shenzhen University, China and Chuo University, Tokyo, Japan. He has filled 13 patents and published more than 100 papers in Scopus/SCI indexed conferences and journals. He has worked as visiting scientist at University of Gavle, Sweden during May – June 2015 and June – July 2016. He is a senior member of IEEE, URSI, IET, CEng (UK), and Life member of ISTE and IETE, India. He is founding chair of joint chapter of IEEE APS and CRFID, Delhi Section. He has received Teaching Excellence 2013 Award, Indo-global Education Summit, New Delhi. He is reviewer of IEEE and other SCI indexed journal. Present research interest includes Antennas, RF Designs, Circuits, Systems, Artificial Intelligence, Machine Learning, IoT and Physical Layers.

Title: Metamaterial antenna and applications - an overview

Abstract: Advances in wireless technologies have created lots of possibilities of newer applications. The demand of miniaturization and integration of multiple functions in wireless systems is becoming more attractive for researchers and industries. Metamaterial antenna can address such issues. It is very important for wireless systems. It is used to have high gain, high directivity, and miniaturization in size with multi band and wide band capabilities.

During this presentation the focus will be on the recent trends of metamaterial antenna research. Various topics will be discussed from basics to applications. Some of them are high gain and UWB metamaterial antennas, reconfigurable and active metamaterial antennas, lens and MIMO metamaterial antennas, wide-angle and polarization insensitive low RCS metamaterial antennas, metamaterial based circuits and applications. In addition to this some of our recent works on metamaterial antennas and absorbers will be discussed.
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Dr. Nishant Sinha
University of Pennsylvania, Philadelphia, USA

Nishant Sinha is a postdoctoral scientist in Department of Neurology at University of Pennsylvania, Philadelphia, US. He completed his PhD in Neuroscience at Translational and Clinical Research Institute, Newcastle University, UK. He was awarded Master of Science in Dynamical systems and Control Theory from Nanyang Technological University, Singapore in 2013. His undergraduate training was in Electrical and Electronics Engineering from Sikkim Manipal University, India in 2010. He worked as a research associate for four years in Computational Neuroscience at Nanyang Technological University Singapore, briefly as a research intern at Agency for Science, Technology and Research, Singapore, and as a junior teaching faculty at Sikkim Manipal Institute of Technology, India.

Title: Personalised brain modelling for precision medicine in surgical and stimulation therapies in epilepsy

Abstract: Epilepsy is a serious neurological disorder in which patients experience repeated unprovoked seizures. It effects approximately 65 million people worldwide. Surgery and brain stimulation are the last resort for patients who do not respond to medical treatments. Unfortunately, in around 40-60% cases surgery is not successful in rendering a patient seizure free as well as optimal stimulation protocols are unclear. In this talk, I will discuss some of my work in which we investigated the mechanisms underlying pathological brain function in epilepsy. I will describe personalised models that simulate hallmark pathological activity featuring seizures. These models when informed with patient-specific data enables performing virtual resections, thereby, predicting surgical outcomes patient-specifically. I will illustrate some of our results upon retrospective application of these techniques on epileptic patients who underwent surgery. I will conclude by demonstrating that computational techniques, such as modelling, and development of associated mathematical theories offer a powerful approach to investigate brain function and dysfunction. These techniques are critical to investigate complex, multi-modal data we routinely acquire from the brain. Such a framework can potentially lead to the formulation and validation of new hypotheses, prediction of outcomes to a therapy, and novel patient-specific treatment strategies.
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Dr. Sanjib Kumar Deka
Associate Professor, Tezpur University

Dr. Sanjib Kumar Deka received his B.E. (Computer Science & Engineering), M.Tech. (Information Technology) and Ph.D. (Computer Science & Engineering) degrees from Dibrugarh University and Tezpur University in 1998, 2000, and 2016 respectively. He is currently working as an Associate Professor in the Department of Computer Science and Engineering, Tezpur University, India. Prior to Tezpur University, he worked in Sasken Communication Technologies Ltd, Bangalore, India and Cisco Systems India Pvt Ltd, Bangalore, India for R&D in Nortel GPRS and for security solutions for Cisco routers and switches. His research interests includes Cognitive Radio Networks, resource allocation and scheduling problems for Wireless Networks, Software Defined Network, cognitive radio solutions for 5G and 5G beyond networks and massive IoT. He has published more than 30 papers in international journal/conference. He was awarded the Amiya K. Pujari best paper award in IEEE Intl. conference ICIT in 2014. He is a lifetime member of IETE. He served as a reviewer in IEEE Transactions on Network Science and Engineering, IEEE Transaction on Cognitive Communications and Networking, IEEE Access.

Title: Evolutionary Game in Wireless and Communication Networks

Abstract: Evolutionary game theory with its ability to bridge the concepts from biology, evolution, nonlinear dynamics, and game theory has been growing as a tool which can be adopted to design and develop solutions for problems in wireless networks and communication area. The mechanisms to conduct an evolutionary analysis of games replicates certain behavior of wireless networks which can be presented with this approach. How to device the relations between evolutionary stable strategies and Nash equilibria are considered. Concepts of using replicator dynamics in modeling the problem shed light into the game. The analysis of example games is used to illustrate the weaknesses and strengths of the theory.
PROCEEDINGS
ORGANIZER
Department of Information Technology (IT), Sikkim Manipal Institute of Technology Majitar organizes First International (Fourth National) Conference on Communication, Cloud, & Big Data (CCB) 2020. Department receives intellectual support of renowned researchers across the world in organizing CCB 2020.

CONTACT US

Organizing Chair
Department of Information Technology

Sikkim Manipal Institute of Technology, Majitar
East Sikkim, SIKKIM, INDIA, PIN 737136

Phone: +91-3592-2271771, 2271772, 3259266
Mobile: +91-9733316230
Fax: +91-3592-246112