Invited Guests



Dr. Sudhan Majhi

Department of Electrical Communication Engineering Indian Institute of Science, Bangalore

SUDHAN MAJHI received the M.Tech degree in computer science and data processing (CSDP) from Indian Institute of Technology (IIT) Kharagpur, India, in 2004, and the Ph.D. degree from Nanyang Technological University (NTU), Singapore, in 2008. He has post-doctoral experience with the University of Michigan, Dearborn, USA, the Institute of Electronics and Telecommunications Rennes (IETR), France, and Nanyang Technological University, Singapore.

He was an Assistant professor jointly with Mathematics and Electrical Engineering department at IIT Patna from 2013 to 2018. He was also an associate professor from July 2018 to August 2021. Currently, he is an associate professor in the Electrical Communication Engineering (ECE) at Indian Institute of Science, Bangalore. He is fellow of Sir Visvesvaraya Young Faculty Research. He is an Editor of IEEE Transactions on Vehicular Technology Journal, IEEE Wireless Communications Letters. He has served an editorship of IEEE Communications Letters and an Associate Editor of Circuits, Systems and Signal processing (CSSP) – Springer. His research interest includes signal processing for wireless communication which includes blind synchronization and parameter estimation, modulation classification, cooperative communications, physical layer security, cognitive radio, OFDM, SC-FDMA, MIMO, MIMO-OFDM NOMA, mmWAVE, IRS, and sequence design.




Dr. C Krishna Mohan

Department of Computer Science and Engineering

Dr. C. Krishna Mohan is currently a Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Hyderabad (IIT Hyderabad), India. He has been with IIT Hyderabad since 2009. He worked as Dean of Public and Corporate Relations, IIT Hyderabad, from Jan 2020 till Jan 2022. He was also the Head of the Department of Computer Science and Engineering, IIT Hyderabad, from May 2010 till October 2014. Before joining IIT Hyderabad, he was a senior faculty member at the National Institute of Technology Karnataka, Surathkal (NITK Surathkal). He received his M.Tech from NITK Surathkal and Ph.D. from the Indian Institute of Technology Madras (IIT Madras).

Prof Krishna Mohan heads Visual Learning and Intelligence Lab (VIGIL) at IIT Hyderabad working in the research areas of video content analysis, computer vision, machine learning, deep learning. He is a recipient of the Excellence in Teaching Award, in recognition of distinguished teaching in the years 2018 and 2021 at IIT Hyderabad. He has published more than 90 papers in peer-reviewed international journals and conference proceedings. He has guided several Ph.D. (14), Masters (33), and Undergraduate (56) students. He has successfully carried out several projects with industry, government agencies, and academia. Dr. C. Krishna Mohan was a Member of the Board of Governors (BOG), IIT Hyderabad, from June 2020 to December 2021 and Member of the Board of Governors (BOG), IIIT Kottayam from July 2022. Also, he is a Member of the Board of Directors, IIT Hyderabad Technology Research Park from September 2020 and a Member of the Board of Directors, i-TIC which is Technology Business Incubator (TBI) at IIT Hyderabad from September 2020. He is a Senate Member of IIT Hyderabad from November 2010. Also, he served as Senate Member of IIT Tirupati from September 2019 to April 2022, and IIITDM Kurnool from May 2019 to May 2021. He serves as a reviewer for several reputed international conferences and IEEE journals and is a Senior Member of IEEE, Member of ACM, AAAI Member, Life Member of ISTE, Fellow of IEI, IETE, and TAS.




Kotaro Kataoka

Associate Professor Dept. of Computer Science and Engineering Indian Institute of Technology Hyderabad
Keynote Title:Building a Digital Twin of SDN based Networks


Kotaro Kataoka received his B.A. in Environmental Information in 2002 from Keio University, and Master and Ph.D. in Media and Governance from Keio University in 2004 and 2010 respectively. He worked in a joint research collaboration among Keio University, IIT Hyderabad, and many participating organizations from Japan and India called ”DISANET” between 2010 and 2012. He served as a visiting faculty of IIT Hyderabad as well as a JICA expert to accelerate India-Japan collaboration from 2012 to 2019. Currently he is an associate professor at Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad. His research interests include Internet Architecture and Blockchain.

Kotaro Kataoka is an Associate Professor at Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad as well as a Senior Researcher at Keio Research Institute at SFC. He has been a member of Asian Internet Interconnection Initiatives (AI3) project and Widely Integrated Distributed Environment (WIDE) project for research on Satellite Internet, Post-Disaster Networking and etc. He also served as an Expert in JICA FRIENDSHIP Project for facilitating Indo-Japan collaborations between 2012 and 2019.

Research Interests

  • Internet Architecture
  • Software-Defined Networking (SDN)
  • Network Function Virtualization (NFV)
  • Blockchain
  • Network Applications
  • Education

  • Ph.D. in Media and Governance, Keio University, 2010
  • Master of Media and Governance, Keio University, 2004
  • B.A. in Environmental Information, Keio University, 2002





  • Dr. Julien Le Kernec

    University of Glasgow, United Kingdom
    Senior Lecturer in Glasgow College UESTC (Autonomous Systems & Connectivity)


    Julien Le Kernec received his B.Eng. and M.Eng. degrees in electronic engineering from the Cork Institute of Technology, Ireland, respectively, in 2004 and 2006, respectively, his Ph.D. degree in electronic engineering from University Pierre and Marie Curie, France, in 2011, and his "Habilitation a Diriger des Recherches" from University Cergy-Pontoise, France, in 2022. He held a product manager position with the Kuang-Chi Institute of Advanced Technology, Shenzhen, China, from 2011 to 2012. He was a Lecturer with the Department of Electrical and Electronic Engineering, The University of Nottingham Ningbo China, from 2012 to 2016. He is currently a Senior Lecturer with the School of Engineering in the Autonomous Systems & Connectivity Group, University of Glasgow. He is also an adjunct associate professor in University Cergy-Pontoise in France in the ETIS (Information and Signal Processing group). His research interests include radar system design, software defined radio/radar, signal processing, and health applications.


    Research interests :


    Smart radar systems
    With the growing overcrowding of the spectrum, new threats (e.g. UAVs near airports), the need for spectrum reuse, and the emergence in 6G of radio and sensing capaibilities, there is a need to develop novel radar systems that can evolve in that environment and communicate amongst themselves. This starts with developing the radar spectrum sensing and actively communicating with neighboring radars or communication nodes to collaborate and fuse information. These functions have to be executed alongside radar functions and switch from one mode to another or combine several modes together in its operation via resource management. Having a software-defined radar platform to do this would mean that the radar could dynamically change its operating mode to fit the task at hand by acting via software on both hardware and processing configurations.
    Radar in Assisted Living :
    With a growing elderly population worldwide, new paradigms of care are necessary to keep people leaving at home longer. In assisted living, radar systems are increasingly being employed in healthcare applications for human activity recognition and vital signs due to their advantages in terms of privacy, contactless sensing, and insensitivity to lighting conditions. Proposed classification algorithms are often complex, which necessitates significant computational resources. A multitude of radar data representations, radar systems (geometry, MIMO, …), and machine learning can be used to achieved these tasks. It is important to bring domain knowledge from radar, kinematics, and medical point of view to maximise the performances and the relevance of the system to meet the needs of the end user.
    Radar in Animal Welfare :
    Lameness is among horses and farm animals in the top three welfare issues. Lameness problems are usually located on the animals' hooves, and they cause various issues, from gait change to impaired fertility, sub-optimum carcass and milk reduction which impacts revenue for the farmer and the weldare of the animal. Several methods have been proposed but all present drawbacks regarding accuracy, reliability, equipment cost and rapidity. Radar systems can be used to detect gait abnormalities in horses and farm animals as well as their vital signs.




    Keynote Speakers



    Dr. Paolo Crippa

    Università Politecnica delle Marche, Italy
    Keynote Title: Wearable Electronic Systems for Surface Electromyography for Healthcare and Activity Monitoring


    Prof. Paolo Crippa received the Laurea degree in Electronics Engineering (summa cum laude) from the Università degli Studi di Ancona, Italy, in 1994 and the Ph.D. degree in Electronics Engineering from the Polytechnic of Bari, Italy, in 1999.
    From 1999 to 2006 he was appointed Research Assistant (member of the Technical Staff) and from 2006 to 2022 Assistant Professor at the Università Politecnica delle Marche, Ancona, Italy. Since 2022 he has joined as an Associate Professor the Department of Information Engineering, at the Università Politecnica delle Marche, Ancona, Italy.

    His research interests include statistical integrated circuit design and device modeling, mixed-signal and RF circuit design, nanoelectronics and nanodevices, biomedical circuits and systems, areas of signal processing involving biomedical signals (e.g. ECG, sEMG, EEG and PPG signals) as well as synthesis and automatic recognition of speech, neural networks, and non-linear system identification.
    He is Editor-in-Chief of the “International Journal of Reconfigurable and Embedded Systems” (IAES) and of the “International Journal of Computational Intelligence Studies” (Inderscience). He is Associate Editor of the “IEEE Access” journal, and a Member of the Editorial Board of the “Mathematics” (MDPI), “Chips” (MDPI), “Foundations” (MDPI), “Mathematical Problems in Engineering” (Hindawi), “Computational Intelligence and Neuroscience” (Hindawi) and “International Journal of RF and Microwave Computer-Aided Engineering” (Hindawi) journals. He was also Guest Editor for the “Journal of Intelligent & Fuzzy Systems” (IOS Press), “Sensors” (MDPI), and “Mathematics” (MDPI) journals.
    He serves as a member of the Technical Program Committee for several international conferences and serves as a reviewer for several international journals and conferences in the fields of electronics, signal processing, and computational intelligence.
    He has published more than 120 papers in international journals, edited books, and conference proceedings.
    He has been teaching the courses of “Fundamental Electronics” and “Power Electronics” at the Università Politecnica delle Marche.
    He is a Senior Member of the IEEE (Institute of Electrical and Electronics Engineers) and a Member of the AEIT (Associazione Italiana di Elettrotecnica, Elettronica, Automazione, Informatica e Telecomunicazioni).
    Since 2007 he has been a founding member of the Academic spin-off CEDAR Solutions srl of the Università Politecnica delle Marche.




    Dr. J. M. Corchado

    PhD In Computer Science (University Of Salamanca) And Artificial Intelligence (University Of West Of Scotland) Full Professor In Computer Science And Artificial Intelligence, Department Of Computer Science And Automation, University Of Salamanca, Spain

    Juan Manuel Corchado (15 May 1971, Salamanca, Spain) is Professor at the University of Salamanca, Director of the BISITE Research Group (Bioinformatics, Intelligent Systems and Educational Technology) and President of the AIR Institute. Director of the IoT Digital Innovation Hub, President of the AIR Institute, and Principal Investigator of the Project funded by DIGIS3 (Digital Innovation Hub of Castilla y León). He is also Visiting Professor at the Osaka Institute of Technology and Visiting Professor at the Universiti Malaysia Kelantan.

    Juan M. Corchado has been Vice-Rector for Research from 2013 to 2017 and Director of the Science Park of the University of Salamanca. He was elected twice as Dean of the Faculty of Science, has been president of the IEEE Systems, Man and Cybernetics association, and academic coordinator of the University Institute for Research in Art and Animation Technology of the University of Salamanca, as well as researcher at the Universities of Paisley (UK), Vigo (Spain) and the Plymouth Marine Laboratory (UK). He has also been a member of the Advisory Group on Online Terrorist Propaganda of the European Counter Terrorism Centre (EUROPOL) and has been a visiting professor at the University of Technology Malaysia. Juan M. Corchado holds a PhD in Artificial Intelligence from the University of the West of Scotland, a PhD in Computer Science from the University of Salamanca. He holds a BSc. (Hons) in Software Engineering from the University of Paisley (UK) and a Diploma in Computer Science from the University of Salamanca. In addition to his main duties, he is currently in charge of several master’s degrees at the University of Salamanca: Master in Smart Cities & Intelligent Buildings, Master in Blockchain, Master in Cybersecurity, Master in Digital Animation, Master in Internet of Things, Master in 3D Design and Printing, and Master in Digital Transformation and works as editor-in-chief of the journals ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal), and Electronics MDPI (Computer Science & Engineering section). J. M. Corchado mainly works on projects related to Artificial Intelligence, Machine Learning, Fintech, Blockchain, Cybersecurity, IoT, Fog Computing, Edge Computing, Smart Cities, Smart Grids, Bioinformatics, Neuroscience and Sentiment Analysis.

    In addition, Juan M. Corchado is:

  • Member of the NVIDIA Advisory board focused on Generative AI (SANTA CLARA, CALIFORNIA).
  • Full member of the Royal Academy of Medicine of Salamanca..
  • Trustee of the AstraZeneca Foundation.
  • Independent Director of Neurofix Pharma.
  • Member of the Scientific Advisory Board of the GADEA Foundation for Science (ENGINEERING AND TECHNOLOGY Department).
  • Member of the Technical Commission of the National Wine Platform.
  • President of the Academic Council of the Valencian Community Foundation Valencian Postgraduate School and Artificial Intelligence Research Network (ValgrAI), of the Generalitat Valenciana.
  • Member of the Technical Committee (Salamanca) of the Spanish Association Against Cancer.