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GUIDELINES


sreyas


“It is planned to publish the proceedings with Springer in their Communications in Computer and Information Science series”

CCIS is abstracted/indexed in DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, Scopus.

CCIS volumes are also submitted for the inclusion in ISI Proceedings.

ISSN: 1865-0929 (Print) 1865-0937 (Online)

ISBN: 978-3-642-45024-2 (Print)

978-3-642-45025-9(Online)

WELCOME

The 2nd International Conference on Artificial Intelligence and Data Science (ICAIDS-2023) will be held in the beautiful city of Hyderabad during 29th-30th December 2023 Organized by Department Of Computer Science & Engineering, CSE (AI&ML) and CSE (DS) in Sreyas Institute Of Engineering and Technology, Hyderabad, Telangana.

This conference is meant for researchers from academia, industries and research & development organizations all over the globe interested in the areas of Artificial Intelligence and Data Science. It will put special emphasis on the participations of Ph.D students, Postdoctoral fellows and other young researchers from all over the world. It would be beneficial to bring together a group of experts from diverse fields to discuss recent progress and to share ideas on open platform and also promote global collaborations. The conference will feature world-class keynote speakers in the main areas.

We warmly welcome prospective authors to submit their latest research results to ICAIDS-2023, looking forward to meeting you at Sreyas Institute Of Engineering and Technology, Hyderabad, Telangana, India during 29th-30th December 2023.

Aboutus

About The College

Sreyas Institute, located in the heart of the city, is the result of deliberation & planning of every aspect to create a world-class technical education institution. The first impression as you enter the sprawling green and verdant campus of Sreyas leaves a lasting impression of innate calm and energizing growth. The campus is scientifically planned and artistically designed. The students have access to the latest software & computing facilities for learning & research to groom them into future citizens. The infrastructure is absolutely world-class with opportunities to build practical skills in state-of-the-art laboratories & workshops.

Call for Papers

The 2nd International Conference on Artificial Intelligence and Data Science (ICAIDS-2023) will be held at Sreyas Institute Of Engineering and Technology, Hyderabad, Telangana, India during 29th-30th December2023

The conference will have plenary lectures followed by parallel sessions. Plenary lectures will be delivered by eminent personalities of repute to introduce the theme of the conference. Conference is to provide a platform to PG students, Researchers, Young aspiring Engineers & Academicians to present their research findings of their respective domains of knowledge and share ideas and Views.

All the accepted and presented papers expected to be published in Springer Series. The paper will be indexed in Scopus, DBLP, ISI Web of Science and Google Scholar.

The 2nd International Conference on Artificial Intelligence and Data Science (ICAIDS-2023) invites the original research papers on the following topics listed below, but not limited to:

About ACI Workshops

Computational Intelligence (CI) encompasses a variety of approaches and intelligent methodologies rooted in theoretical frameworks, proofs, axioms, and comparative analyses of computationally driven paradigms. Its scope extends to providing computational resolutions for multifaceted challenges across diverse domains, spanning from database management to exascale computing, and addressing issues of homogeneity, heterogeneity, data volume, velocity, variety, and veracity. Given the contemporary deluge of exabyte-scale data generation, there arises a pressing necessity for intelligent methodologies and tools capable of robustly analyzing and extracting meaningful insights from such vast datasets, facilitating timely and informed decision-making. Against this backdrop, CI, its principles, applications, and meta-heuristic techniques serve as potent instruments for tackling real-world problems. The primary objective of this workshop is to collate and disseminate contributions from scholars, educators, and industry practitioners within the CI domain. By fostering information exchange, this workshop aims to catalyze tangible advancements in scientific output.

Keywords

Computational Intelligence, Machine Learning, Artificial Intelligence, Deep Learning, Computer Vision, Data Science

Editors

Dr. Prateek Agrawal, Lovely Professional University, India

Dr. Ashwani Kumar, SIET, Hyderabad, India

Dr. Pawan Kumar Verma, Sharda University, India

WORKSHOPS CHAIR

Vladislav Kashansky, University of Klagenfurt, Austria

Dr. Vishu Madaan, Lovely Professional University, India

Dr. Dimple Nagpal, Lovely Professional University, India

Sessions


A smart healthcare system using deep learning models involves leveraging advanced algorithms to analyze complex medical data. These models can be used for tasks such as disease diagnosis, medical imaging analysis, personalized treatment recommendations, and predictive analytics. By integrating deep learning into healthcare systems, efficiency, accuracy, and patient outcomes can be significantly improved. Implementing deep learning in healthcare: transforming data into informed decisions. Smart healthcare redefined with deep learning models: precision diagnostics and proactive care.

Soft computing techniques refer to a collection of computational methods that are designed to mimic the human brain's learning and decision-making capabilities. These techniques are used to handle complex and uncertain information in a more flexible and adaptive way compared to traditional hard computing approaches.

Soft computing encompasses various methods, including:

Fuzzy Logic: Fuzzy logic deals with reasoning that is approximate rather than fixed and precise. It allows for reasoning under uncertainty by assigning degrees of truth to statements.

Neural Networks: Neural networks are computational models inspired by the biological neural networks in the human brain. They can learn from data and make decisions or predictions based on patterns and relationships in the data.

Evolutionary Computation: Evolutionary algorithms simulate processes of natural selection to solve optimization and search problems. They involve techniques like genetic algorithms, genetic programming, and evolutionary strategies.

Machine Learning: While not exclusive to soft computing, machine learning techniques such as support vector machines (SVM), decision trees, and Bayesian networks are often considered part of soft computing due to their focus on learning from data and handling uncertainty.

An IoT-enabled artificial intelligence (AI) system integrates the capabilities of the Internet of Things (IoT) with AI technologies to create intelligent, interconnected systems. Here's a concise explanation of what this entails:

IoT (Internet of Things): FIoT refers to a network of physical devices embedded with sensors, actuators, and connectivity that enable them to collect and exchange data over the internet. These devices can range from everyday objects like smart home appliances to industrial machinery and vehicles.

Artificial Intelligence (AI): AI involves the development of computer systems that can perform tasks that typically require human intelligence, such as recognizing patterns, making decisions, and learning from data.

IoT-Enabled AI System: When IoT and AI technologies are combined, IoT devices serve as data sources that continuously gather real-time information from their surroundings. This data is then fed into AI algorithms for analysis, processing, and decision-making. The AI system learns from the data generated by IoT devices to derive insights, make predictions, automate processes, and optimize operations.

Special Sessions


    Special Session Chair(s): Dr. G. Umamaheswari, Dr. V. A. Sankar Ponnapalli, Dr. Nanda Kumar M

    Session Objective: Analysis, Design, and Synthesis are the three important keys for all engineering problems. Advanced wireless and electrical systems like 5G Communication, Smart antennas VANET, IOT, fault detection in antenna array and transmission lines demand effective optimization techniques to achieve high quality performance. Many academicians and researchers are drawn to the development of Fuzzy, Artificial Neural Networks (ANNs), and Evolutionary Optimization Algorithms (EOAs) for advanced wireless communications and electrical systems as a result of these diverse applications. It is our aim that leading scholars from both academia and industry will come together to discuss the latest advancements in wireless communications and electrical systems.

    This session also provides the premier interdisciplinary forum for researchers to present and discuss the most recent innovations, trends, and concerns, practical challenges encountered and the solutions adopted in the field of smart wireless and electrical systems.

    Contact:

    Dr. G. Umamaheswari, PSG College of Technology, Coimbatore, India.

    Dr. V. A. Sankar Ponnapalli, Sreyas Institute of Engineering and Technology Hyderabad, India.
    EMAIL: [email protected];  8125550684

    Dr. Nanda Kumar M, Sreenidhi Institute of Science and Technology, Hyderabad, India.

    Special Session Chair(s): Anupam Singh, AP-SG, Informatics School of Computer Science, UPES

    Session Objective: To deploy a system without checking its correctness is a challenge for industry. Formal specification and verification is based on formal methods. It verifies and gives an error free system. Last decade has emerged as a smart technological developments era, where we are able to bridge the physical word and the cyber space, which composes the foundation for developing new smart applications. Many potential applications of Internet of Things, Blockchain, Distributed solutions in field of engineering, smart cities, healthcare has given an edge to new directions of research.

    Recently, we are witnessing an increasing trend in exploiting use of both Cloud and IoT together; a new paradigm known as IoT with Cloud has emerged. They have applications in smart homes, smart traffic, low cost deployments, low energy consumption applications, healthcare, agriculture and many more.

    So main focus of this special session is to address the research issues related to formal specification and verification of blockchain oriented system and its application in internet of things. Full length original and unpublished research papers based on theoretical or experimental contributions related to the below mentioned tracks are invited for submission in this special session:

    Topics and Areas of Interest (not limited up to following)

    Formal Development, Formal Specification, Formal Verification, Formal Methods, Wireless relaying in IoT, Blockchain Oriented Transactional System, 5G enabling technologies for the IoT, Cloud computing for the green IoT, Distributed, Fog and Edge Computing.

    Contact:

    Anupam Singh, Email ID: [email protected], Mobile No.: 7905546681.

    Special Session Chair(s): Dr. Mohammad Amir Khusru Akhtar, Associate Professor & Head, Usha Martin University, Ranchi, Jharkhand, India

    Session Objective: Artificial intelligence (AI) is a computer science discipline that aims to develop ideas, methods, algorithms, and applications for imitating and enhancing human intelligence. The ultimate goal of AI is to develop technology that allows computational devices to behave intelligently. This high-level goal can be split down into several subareas relating to the human-like perceptual and cognitive capacities that an intelligent machine should possess.

    The new paradigm of deep-structured machine learning, or Deep Learning, is driving the third rise of AI. Humans build features in classic machine-learning algorithms, and feature engineering is a bottleneck that requires significant human knowledge. Moreover, the models lack representation capability and, as a result, the ability to create levels of decomposable abstractions that automatically detangle complex processes in shaping observed data. The use of a deep, layered model structure, commonly in the form of neural networks, and the related end-to-end learning algorithms in deep learning overcomes the aforementioned challenges. One of the key driving forces behind the current AI inflection point and the comeback of neural networks is breakthroughs in deep learning. So main focus of this special session is to address the research issues related to application of artificial intelligence. Full length original and unpublished research papers based on theoretical or experimental contributions related to the below mentioned tracks are invited for submission in this special session:

    Topics and Areas of Interest (not limited up to following)

    Web Search, Visual Inquiry Responding, Image Captioning, Natural Language Processing, Toxicology And Drug Discovery, Systems For Customer Relationship Management And Recommendation, Informatics In Medicine, Advertisements On The Internet, Image Analysis In Medicine, Robotics, Self-Driving Vehicles, Board Games (For Example, Alphago, Poker, And Dota2), Etc.

    Contact:

    Dr. Md. Amir Khusru Akhtar, Email ID: [email protected], Mobile No.: +91 9798476769.

    Special Session Chair(s): Dr. S Venkata Achuta Rao, Professor, Sreyas Institute of Engineering and Technology, GSI, Bandlaguda, Nagole, Hyderabad,Telangana-500068, India.

    Session Objective: Prediction of Fault-Prone Software Modules is a vital activity in software design & Deployment to make Model more efficient, economic and produce quality software. This is a fruitful approach to decreases the testing efforts (cost and time) of the software testing. Computational Intelligence Methods: Inherited & Existence of faults not only reduces the quality of the software, but also increases its development cost and time. In this discussion, the detailed survey has done on historical data of fault-prone software modules for categorize software modules as faulty or non-faulty. The objectives of the study are to find the techniques that have used in prediction of various interdisciplinary intelligence methods to predict the analytics in software defect prediction. So main focus of this special session is to address the research issues related to Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Networks, Evolutionary Strategies are helped to develop models constructed analytically based Scientific or Empirical solutions are to be provided the Computational Intelligence community to the prediction of Software Faults at the early stages.

    Full length original and unpublished research papers based on theoretical or experimental or scientific or empirical or real time contributions related to the below mentioned tracks are invited for submission in this special session:

    Topics and Areas of Interest (not limited up to following)

    Artificial Intelligence for Automatic Testing Tools, Machine Learning Prediction Models, Prescriptive Data Analytics, Prediction Data Analytic, Computational Intelligence techniques, Evolutionary Computational Methods, Deep Learning for Health Care, Enabling Ubiquitous and pervasive Computing, Statistical Software Bug Analytics & Prediction Models, Artificial Immune Systems, Fuzzy Systems, Optimization Techniques, Soft Computing

    Contact:

    Dr. S Venkata Achuta Rao, Email ID: [email protected], Mobile No.: +919885463131.

    Special Session Chair(s):Dr. Punit Gupta, Associate Professor, Dept. of Computer and Communication Eng., Manipal University Jaipur, Jaipur, India.

    Session Objective: Cloud computing is a new alternative of scalable and cost efficient computing which is accepted worldwide. But there lie various open issues line issues with increasing infrastructure which are geographically located and performance issues. Moreover faults in datacenter with are occurring at random point degrades the performance and reliability in cloud environment. So this issue aims to find and invite new research from the field of fault tolerant and reliable computing.

    The Objective of this special issue to collect quality work from the field of cloud computing to address various issues concerned to improve the performance in cloud environment. The topic of interest those are not limited to the list given below:

    Topics and Areas of Interest (not limited up to following)

    Scalability in cloud, Power efficient computing, Heuristic based algorithm in cloud, Reliability in cloud, Cloud computing architectures and systems, Hybrid cloud environment, Data center networking, Trust, security and privacy, Cloud resource management, Fault tolerance and reliability of Big Data Systems

    Contact:

    Dr. Punit Gupta, Email ID: [email protected], Mobile No.: +919882205191.

Important Dates

Submission Opening Date 10th June, 2023
Submission Closing Date 15th August, 2023 31th August, 2023 31th September, 2023
Acceptance Notification for Final Papers 30th August, 2023 31th October, 2023
Camera Ready Copy Deadline 5th September, 2023
Conference Dates 29th-30th December, 2023

Author Guidelines


High-quality full papers which at the time of submission, are not under review and have not already been published or accepted for publication elsewhere are solicited. The first page should include the paper’s title, the abstract, and a list of keywords indicating the paper’s topic area, the authors’ full names, affiliations, and e-mail addresses.

All accepted papers will be published in the conference proceedings. Authors are required to submit fully formatted papers (PDF), with graphs, images, and other special areas arranged as intended for the final publication. Papers should be written in English conforming to the standard conference format. Your paper must be printable in order to be accepted.

All papers that confirm to submission guidelines will be peer-reviewed by at least two independent referees from the Conference Review Board and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability.

Important Note: Authors must obtain permissions from the previous publisher(s) for any material (text, figures, tables etc.) they want to reuse, and submit the same with paper.

At least one of the authors of each accepted paper has to register for the conference. Each registration will cover one accepted paper. ICAIDS-2023 Organizing Committee reserves the right not to include in any paper into the proceedings that are not presented at the conference.

ICAIDS 2023 Registration Fee


Author Type

Indian Author

Foreign Author

Regular Research Scholars and Students INR 6000 USD 100
Members of Faculty INR 7000 USD 130
Delegates (R&D Centers and Industry) INR 5800 USD 180
Guest / Attendee / Listener INR 2000 USD 50

Note:

1. At a time only one type of discount will be applicable for the above mentioned categories.

2. One student/Author Registration will be eligible for ONE paper presentation by the same student/Author.

3. Registration charges include all conference material, coffee breaks and meals during the conference days.

4. Receipt of registration will be provided during the conference.

5. Author(s) seeking official letter to apply for CONFERENCE GRANT from professional bodies may send their request at [email protected]

Payment for Registration Fee:



    1. Wire Transfer:Participants/authors paying registration fees through Wire Transfer should use the following information and email their bank transaction slip and relevant information to [email protected]

    2. Wire Transfer from OUTSIDE INDIA (Only for FOREIGN AUTHORS)

Acceptance of papers

Based on the decisions given by our reviewers the decision of paper acceptance/rejection will be communicated authors through email.

The authors of the accepted papers will be allowed to make corrections in accordance with the suggestions of the reviewers and submit final camera-ready papers within the stipulated deadline.

Final Submission of papers


Each accepted final paper must be accompanied by the dully filled in copyright form called Consent to Publish (CTP), which we ask a corresponding author to complete and sign. The final submission should be prepared as a separate zipped file as mentioned below.

All final submissions should be in a .zip compressed archive including:

  • The source (input) files, i.e. TeX source files for the text and figure files (300 dpi resolution)
  • Any style files, templates, and special fonts the authors may have used
  • MS Word file in the case of using MS Word
  • The final Postscript (.ps) or Adobe Acrobat (.pdf) file


Paper Submission Guidelines - Papers for Review


All submissions, including Regular papers, Short papers, and other have to be made through the CONFERENCE MANAGEMENT TOOLKIT (CMT). Those who do not have an CONFERENCE MANAGEMENT TOOLKIT (CMT) account they need to create one.

NOTE: Prospective authors are invited to submit full (original) research papers; which are NOT submitted/published/under consideration anywhere in other conferences/journals; CONFERENCE MANAGEMENT TOOLKIT (CMT) or via email [email protected]

All the paper must conform to specific format and must be submitted as Microsoft Word DOC or DOCX format only not exceeding stipulated pages including text, figures, tables and references.

Keynote Speakers

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Anand Nayar, Professor, Duy Tan University, Vietnam
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S. SHITHARTH: Professor, Leeds Beckett University, England
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Anand Paul, Full Professor, Kyungpook National University, South Korea
Iztok Fister, University of Maribor, Slovenia
Iztok Fister jr., University of Maribor, Slovenia
Prof. Pradeep Kumar Gupta, JUIT, India, Vladimir State University, Russia
Prof. Pradeep Kumar Gupta, JUIT, India,

Program Committees



Sri Anantula Vinay Kumar Reddy,Chairman, Sreyas Institute of Engineering and Technology, Hyderabad ,India.

Shri Chintala Ravindranath Yadav, Secretary, Sreyas Institute of Engineering and Technology, Hyderabad ,India.

Sri Nirvetla Sharath Reddy, CEO and Treasurer, Sreyas Institute of Engineering and Technology, Hyderabad ,India.

Sri Hriday Reddy,Vice-Chairman, Sreyas Institute of Engineering and Technology, Hyderabad ,India.




Dr. K.Sagar, Professor-CSE, Principal, Principal, Sreyas Institute of Engineering and Technology, Hyderabad, India.


Dr. K.Sagar, Professor-CSE, Principal, SIET, HYD.

Dr. Ashwani Kumar, Associate Professor


Dr. K.Sagar, Professor & Principal, Sreyas Institute of Engineering and Technology, Hyderabad, India.


Dr. K. Sagar, Vice-Principal, SIET, HYD

Dr. J.PanduRangaRao, Dean-IQAC, SIET, HYD

Dr. U. M. Fernandes Dimlo, HOD- CSE, SIET, HYD

Dr. A. Swathi , HOD- AIML, SIET, HYD

Dr. M. Jayaram, HOD-DS, SIET, HYD

Prof. Ch. MaruthiRao, HOD-ECE, SIET, HYD

Prof. MD. Naseeruddin, HOD-HS, SIET, HYD

Prof. Y Krishnaiah, HOD-MECH, SIET, HYD

Prof. D Paramesh, HOD-CIVIL, SIET, HYD


Dr. A. Swathi, Associate Professor, Dept of AI&ML, SIET, HYD



Prof. Chandra S Dasaka, Chairman, CSI Hyderabad

Prof. Sudhakar, CSI Hyderabad

Prof. B. Sreenivasu, SIET, Hyderabad, India

Mr. J. Pandu Ranga Rao, SIET, Hyderabad

Dr. Uma Maheswar, SIET, Hyderabad

Prof. S.Ramachandran, Vice-Chancellor, Anurag University

Dr. V.Hara Gopal, BITS PILANI, Hyderabad

Dr. Bala Prakasha Rao Killi, NITW, Warangal



Meenakshi Arya, SRM University, Chennai

Prof. A. Govardhan, JNTUH, Hyderabad

Deepa Garg, Bennett University, Hydearabad,India

D.Vasumathi, JNTUH, Hydearabad,India

Kamakshi Prasad, JNTUH, Hydearabad,India

Ashok chandra, Goa Institute of Management, India

Deepak Gupta, SVKM's NMIMS University, India

Shiva Prakash, JNU,New Delhi, India

Shirmohammad Tavangari, University of British Columbia, Canada



(Prof.) Dr. Gautam Srivastava, Brandon University, Canada

Dr. Ashwani Kumar, Associate Professor India

Prof. Anand Nayar, Professor, Duy Tan University, Vietnam

Prof. Dr. P.K. Gupta, Jaypee University of Information Technology, HP, India



Pratiksha Saxena, Gautam Buddha University, Greater Noida, India

Prabhat Thakur, University of Johannesburg, South Africa

Bunseng Chan, Southern University College, Malaysia

Sanjeevikumar Padmanaban, Aalborg University, Denmark

Deepak Gupta, Wichita State University, USA

Ramesh Chandra, Norwegian University of Science and Technology, Norway

Shiva Prakash, M. M. M. University of Technology, India

Ramjee Prasad, Aalborg University, Denmark

Mohd Wajid, Aligarh Muslim University, India

Akash Saxena, Swami Keshvanand Institute of Technology, Management, India

S. P. Ghrera, Alakh Prakash Goyal Shimla University, India

Deepak Dahiya, Majmaah University, Saudi Arabia

IR. Dr. Ismail, Musirin Universiti Teknologi MARA, Shah Alam, Selangor Malaysia

Meenakshi Arya, SRM University, Chennai, India

Prof. A. Govardhan, Jawaharlal Nehru Technological University, Hyderabad, India

Deepa Garg, Bennett University, India

D.Vasumathi, Jawaharlal Nehru Technological University, Hyderabad, India

Kamakshi Prasad, Jawaharlal Nehru Technological University, Hyderabad, India

Ashok chandra, Goa Institute of Management, India

Deepak Gupta, SVKM's NMIMS University, India

Shiva Prakash, JNU, New Delhi, India

Shirmohammad Tavangari, University of British Columbia, Canada

Karim Hashim Al-Saedi, Mustansiriyah University, Iraq - Baghdad

Seng Hansun, Universitas Multimedia Nusantara, Indonesia

Felix J. Garcia Clemente, University of Murcia, Spain

Sotiris Kotsiantis, University of Patras, Greece

Durgesh Nandan, Symbiosis Institute of Technology, India

Eaglekumar G. Tarpara, Brookhaven National Laboratory, USA

Sanjeev Patel, National Institute of Technology Rourkela, India

Zahra Pezeshki, Shahrood University of Technology, Iran

Nadheer A.Shalash, Al-Mamon University College, Iraq

Walid Barhoumi, SIIVA - RIADI Laboratory, Tunisia

Kamarulafizam Ismail, Universiti Teknologi Malaysia, Malaysia

Kreangkri Ratchagit, King's Mongkut University of Technology Thonburi, Thailand

Dr. Ramkumar Jaganathan, Dr NGP Arts and Science College, India

Alok Joshi, Jaypee Institute of Information Technology (JIIT), India

Imran Memon, ZHEJIANG, China

Ette Hari Krishna, Kakatiya University, India

Zafar Iqbal, Shahjalal University of Science and Technology, Bangladesh

Dr. Rohit Thanki, Prognica Labs, Dubai, United Arab Emirates

Preetam Bhardwaj, VIT University,Vellore, India

Anisur Rahman, Jamia Millia Islamia A Central University, New Delhi, India

Pronaya Bhattacharya, Nirma University,Gujarath, India

Mohit Kumar, Cambridge Institute of Technology, Ranchi, India

Ali Akbar, University of Rajshahi, Bangladesh, Bangladesh

Haci Mehmet Baskonus, Harran University, Turkey

Prof Dac Nhuong, Haiphong University, Vietnam, Vietnam

Mitsunori Makino, Chuo University, Japan

Siva Somayaji, VIT University, India

Govind Suryawanshi, University of Pune Pune, India

Inayathulla Mohammed, Malla Reddy Engineering College Autonomous, India

Steven Fernandes, Creighton University, Omaha, Nebraska

Noraziah Ahmad, University Malaysia Pahang, Malaysia

Shruti Goel, Maharaja Surajmal Institute of Technology, India

Dimitrios Xanthidis, Higher Colleges of Technology, UAE

Mohammed Hassan Ibrahim, Fayoum University, Egypt

Juan Jose Flores Romero, University of Michoacan, Mexico

Kledi Xhaxhiu, University of Tirana, Albania

G Siva Nageswara Rao, KL University, India

Vinodani Katiyar, Dr. Shakuntala Misra National Rehabilitation University, India

Dr. Disha Handa, UIC, Chandigarh University, India

Prof. P .K Banerjee, R&D Division, Tata Steel, Jamshedpur, India

Shantakumar B Patil, Nagarjuna College of Engineering & Technology, India

Muhammed Kuliya, The Federal Polytechnic Bauchi, Nigeria

Syed Umar, Wollega University, Ethiopia

Pranab Kumar Banerjee, Jadavpur University, India

Shalini Bhartiya, Guru Gobind Singh Indraprastha University, India

Swati Chowdhuri, Institute of Engineering and Management, India

Taranath N L, Adichunchanagiri Institute of Technology, India

Tushar B. Kute, MITU Skillologies, India

Lalita Chaudhary, ITS Engineering College, India

Abdalhossein Rezai, University of Science and Culture, Iran

Alexandre Carlos Brandão Ramos, Federal University of Itajubá & Ecole Nationale de l'Aviation Civile, Brazil

Davide Moroni, ISTI-CNR-Signals and Images Lab, Italy

Muhammad Wahab, Louisiana State University, USA

Americo Scotti, HögskolanVäst, Sweeden, Brazil

Ashutosh Sharma, Southern Federal University, Russia

Prof Jacinta A. Opara, Kampala International University, Kampala-Uganda, Uganda

Dineswary Nadarajan, University of Malaya, Malaysia

Mohd Hafizal Ismail, Universiti Putra Malaysia, Malaysia

Abhishek Shukla, R.D. Engineering College Technical Campus, India

Mohd Ashraf Bin Ahmad, Universiti Malaysia Pahang, Malaysia

ATM Golam Bari, University of South Florida, USA

Kit Qichun Zhang, University of Bradford, UK

Prof Dr Austin N. Nosike, University of Lay Adventists of Kigali, Rwanda

Rahul Sharma, Tallinn University of Technology, Estonia, Europe

Iztok Fister jr., University of Maribor, Slovenia


Prof. B. Seenivasulu, AD, SIET, HYD

Mrs. Joshi Padma.

Dr. M. Madan Mohan, AIML, SIET, HYD

Prof. S.PrudhviRaj, AIML, SIET, HYD

Prof. K. RamyaLakshimi, CSE, SIET, HYD

Prof. M.Jhansi, DS, SIET, HYD

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