Hemant Ghayvat

Hemant Ghayvat

Senior lecturer
Department of Computer Science and Media Technology Faculty of Technology
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I am a Senior Lecturer. My responsibility is to conduct and support research teaching related to Embedded System Design, IoT, and Deep Learning courses. The research focus is on Health Informatics (Preventive healthcare, Ambient Assisted Living, and AI-based Decision Making ). 

I did my graduate degree in Major: Electronics and Communications BIST, Bhopal, University, 2009.  After securing my Master's Degree in Microelectronics and VLSI  2011, I joined as a lecturer at Rajiv Gandhi Technical University. I worked from June 2011 to Dec 2013 in Computer Science Department. I taught Embedded System, Digital Signal Processing, and Wireless Communication;  moreover, I supervised Bachelor’s and Master’s students in the similar domains I taught on various projects.  In Dec 2013, I moved to New Zealand to pursue a Doctoral Degree. My doctoral dissertation was conducted in Smart Home for Ambient Assisted Living under Prof. Subhas Chandra Mukhopadhyay and examined applying a relatively new wireless protocol for smart home monitoring design. During the endeavor of Ph.D. research, I have developed my skills in heterogeneous wearable and non-wearable sensors based on Wireless Network designing for home and big buildings. I have learned the skills of big data handling, developing data mining, and machine learning algorithms to extract decision-making information, followed by using the internet of things (IoT). 

Before joining Linnaeus University, I worked at different research and teaching universities. From Oct 2018 to Oct 2020, I worked at Technical University of Denmark, Lyngby, Denmark, and TUM Munich, as a Marie Curie Fellow. I was a Eurotech Marie Skłodowska-Curie fellow at Innovation Dept., Technical University of Denmark, Denmark and Building Realization and Robotics, Architecture Department, Technical University of Munich. My responsibility was to conduct and support research teaching related to Health Computer Interaction. I was investigating and developing the ecosystem for the elderly through Ambient Assisted Living. I have addressed the challenges of digital and audio signal processing of daily living activities, considering the privacy aspects, recognizing the behavioral pattern and anomaly, electronic health record management, and analysis.

 

 

Teaching

1DV701 : Bachelor’s level, Computer Networks - an introduction, 7.5 credits 

1DV702: Bachelor’s level, Computer Networks - administration, 7.5 credits 

1DT302: Bachelor’s level, Embedded Systems - an introduction, 7.5 credits 

2DT304: Bachelor’s level, Project with Embedded System, 7.5 credits

2DV702: Bachelor’s level, Internet Security, 7.5 credits

2DV703: Bachelor’s level, Wireless Security, 7.5 credits

 2DT303: Bachelor’s level, Reliability in Embedded System, 7.5 credits

Research

Research Interests

Digital Enhanced Living

Behavioral pattern generation and Anomaly Detection

Image processing for the healthcare

Assistive Technology for wellness

Intelligent Non-Speech Audio Assistance

Neonatal Preventive Healthcare Monitoring

Transfer Learning

HL7 Version 2, Clinical Document Architecture (CDA) & Fast Health Interoperability Resources (FHIR)

Publications

Article in journal (Refereed)

Article, review/survey (Refereed)

Article in journal (Other academic)

Selected Publications Lists:

Book Publication:

  • Ghayvat and S. C. Mukhopadhyay, "Wellness Protocol for Smart Home: An Integrated Framework for Ambient Assisted Living," in Smart Sensor Measurement and Instrumentation Sensing, ed: Springer, 2017

Journal papers:

 

  • Ghayvat, H., Awais, M., Gope, P., Pandya, S. and Majumdar, S., 2021. ReCognizing SUspect and PredictiNg ThE SpRead of Contagion Based on Mobile Phone LoCation DaTa (COUNTERACT): A System of identifying COVID-19 infectious and hazardous sites, detecting disease outbreaks based on the internet of things, edge computing, and artificial intelligence. Sustainable Cities and Society, p.102798.

 

  • Pandya, S. and Ghayvat, H., 2021 Ambient acoustic event assistive framework for identification, detection, and recognition of unknown acoustic events of a residence. Advanced Engineering Informatics, 47, p.101238.

 

  • Patel, C.I., Labana, D., Pandya, S., Modi, K., Ghayvat, H. and Awais, M., 2020. Histogram of Oriented Gradient-Based Fusion of Features for Human Action Recognition in Action Video Sequences. Sensors, 20(24), p.7299.

 

  • Pandya, S., Ghayvat, H., Sur, A., Awais, M., Kotecha, K., Saxena, S., Jassal, N. and Pingale, G., 2020. Pollution Weather Prediction System: Smart Outdoor Pollution Monitoring and Prediction for Healthy Breathing and Living. Sensors, 20(18), p.5448.

 

  • Muhammad A, H Ghayvat, A Krishnan Pandarathodiyil, W M N Ghani, A Ramanathan,S Pandya, N Walter, M N Saad, R B Zain and I Faye, 2020 Healthcare Professional in the Loop (HPIL): Classification of Standard and Oral Cancer-Causing Anomalous Regions of Oral Cavity Using Textural Analysis Technique in Autofluorescence Imaging. Sensors, 20(20), p. 5780.

 

  • Ghayvat, H., Awais, M., Pandya, S., Ren, H., Akbarzadeh, S., Chandra Mukhopadhyay, S., Chen, C., Gope, P., Chouhan, A. and Chen, W., 2019. Smart Aging System: Uncovering the Hidden Wellness Parameter for Well-Being Monitoring and Anomaly Detection. Sensors, 2019, 19(4), p.766.

 

  • Ghayvat, H., Mukhopadhyay, S., and Gui, X.: ‘Issues and mitigation of interference, attenuation, and direction of arrival in IEEE 802.15. 4/ZigBee to wireless sensors and networks based smart building’, Measurement, 2016, 86, pp. 209-226.

 

  • Ghayvat, H., Mukhopadhyay, S., Liu, J., and Gui, X.: ‘Wellness Sensors Networks: A Proposal and Implementation for Smart Home to Assisted Living’ IEEE Sensors Journal, 2015, Volume: 15, Issue: 12, pp.7341 – 7348.

 

  • Ghayvat, S. Mukhopadhyay, X. Gui, and N. Suryadevara, "WSN-and IoT-Based Smart Homes and Their Extension to Smart Buildings," Sensors, vol. 15, pp. 10350-10379, 2015.

 

  • Ghayvat, H., Liu, J., Alahi, M., Mukhopadhyay, S., and Gui, X.: ‘Internet of Things for smart homes and buildings: Opportunities and Challenges’, Australian Journal of Telecommunications and the Digital Economy, 2015, 3, (4), pp. 33-47

 

  • Ghayvat, A. Nag, N. Suryadevara, S. Mukhopadhyay, X. Gui, and J. Liu, "SHARING RESEARCH EXPERIENCES OF WSN BASED SMART HOME," International Journal on Smart Sensing & Intelligent Systems, vol. 7, 2014, pp. 1997-2013.

 

  • Khan, M., Din, S., Jabbar, S., Gohar, M., Ghayvat, H., and Mukhopadhyay, S.C., 2016. Context-aware low power intelligent Smart Home based on the Internet of things. Computers & Electrical Engineering, 52, pp.208-222.

 

  • Pirbhulal, S., Zhang, H., E Alahi, M.E., Ghayvat, H., Mukhopadhyay, S.C., Zhang, Y.T., and Wu, W., 2016. A Novel Secure IoT-Based Smart Home Automation System Using a Wireless Sensor Network. Sensors, 2017, 17(1), p.69.

 

  • Ren, Haoran, Hailong Jin, Chen Chen, Ghayvat, H., and Wei Chen. "A Novel Cardiac Auscultation Monitoring System Based on Wireless Sensing for Healthcare." IEEE journal of translational engineering in health and medicine 6 (2018): 1-12.

 

  • Pandya, S., Ghayvat, H., Kotecha, K., Awais, M., Akbarzadeh, S., Gope, P., Mukhopadhyay, S. and Chen, W., 2018. Smart Home Anti-Theft System: A Novel Approach for Near Real-Time Monitoring and Smart Home Security for Wellness Protocol. Applied System Innovation, 1(4), 2018, p.42.

 

 

Book Chapters:

 

  • Bakar, H. Ghayvat, F. Hasan, and S. Mukhopadhyay, "Activity and anomaly detection in smart home: A survey," in Next Generation Sensors and Systems, ed: Springer, 2016, pp. 191-220.

 

  • Ghayvat, S. C. Mukhopadhyay, and X. Gui, "Sensing Technologies for Intelligent Environments: A Review," in Intelligent Environmental Sensing, ed: Springer, 2015, pp. 1-31.

 

Conference Papers:

  • Ghayvat, H., Pandya, S. and Patel, A., 2020, February. Deep Learning Model for Acoustics Signal Based Preventive Healthcare Monitoring and Activity of Daily Living. In 2nd International Conference on Data, Engineering and Applications (IDEA) (pp. 1-7). IEEE.
  • Ghayvat, S. Mukhopadhyay, X. Gui, and J. Liu "Enhancement of WSN Based Smart Home to a Smart Building for Assisted Living: Design Issues," in Communication Systems and Network Technologies (CSNT), 2015 Fifth International Conference on, Gwalior India, 4-6 April 2015, pp. 219-224.
  • Ghayvat, H., Bandil, S. C. Mukhopadhyay, and R. Gupta. "A 2.4 Ghz CMOS gilbert mixer in 180nm technology." In Communication Systems and Network Technologies (CSNT), 2015 Fifth International Conference on, pp. 781-785. IEEE, 2015.
  • Liu H. Ghayvat, and S. Mukhopadhyay, "Introducing Intel Galileo as a development platform of smart sensor: Evolution, opportunities and challenges," in Industrial Electronics and Applications (ICIEA), 2015 IEEE 10th Conference on, Auckland NZ, 15-17 June 2015, pp.  1797 - 1802.
  • Ghayvat, S. Mukhopadhyay, and X. Gui, " Addressing Interference issues in a WSN based smart home for ambient assisted living," in Industrial Electronics and Applications (ICIEA), 2015 IEEE 10th Conference on, Auckland NZ, 15-17 June 2015, pp. 1661 - 1666.
  • E. E Alahi, S. C. Mukhopadhyay, H. Ghayvat, R. Wang, L. Jie, " Comparative Studies of Embedded Platform For IoT Based Implementation," in International Conference on Sensing Technology (ICST), 2015 IEEE 9th Conference on, Auckland NZ, 8-10 Dec 2015. pp. 748-752.
  • Ghayvat, Liu.Jie, A.Babu, M.E.Alahi, U.A.B.U.A.Bakar, S.C.Mukhopadhyay and X.Gui, " Simulation and Evaluation of ZigBee-based Smart Home using Qualnet Simulator," in International Conference on Sensing Technology (ICST), 2015 IEEE 9th Conference on, Auckland NZ, 8-10 Dec 2015. pp. 579-585.
  • Sadia Din, Hemant Ghayvat, Anand Paul, Awais Ahmad, M. Mazhar Rathore, Imran Shafi, " An Architecture to Analyze Big data in the Internet of Things," in International Conference on Sensing Technology (ICST), 2015 IEEE 9th Conference on, Auckland NZ, 8-10 Dec 2015. pp. 677-682.
  • David Morton, Ghayvat,S. C. Mukhopadhyay, Steve Green. “Sensors and Instrumentation to Measure sap Flow in Small Stem Plants”.  Proceeding of the IEEE: International Instrumentation and Measurement Technology Conference (I²MTC) 2016, Taipei, Taiwan, 23-26 May 2016. pp. 1088- 1093.
  • Babu, K.Dube, S.Mukhopadhyay, H.Ghayvat, & Kumar, J. (2016, March). Accelerometer based human activities and posture recognition. In Data Mining and Advanced Computing (SAPIENCE), International Conference on (pp. 367-373). IEEE.
  • Pandya, S., Shah, J., Joshi, N., Ghayvat, H., Mukhopadhyay, S.C. and Yap, M.H., 2016, November. A novel hybrid based recommendation system based on clustering and association mining. In Sensing Technology (ICST), 2016 10th International Conference on (pp. 1-6). IEEE.
  • Ghayvat, H., Chen, P. Gope, and A. Ghayvat. "Issues and mitigation of attenuation and direction of arrival in wellness protocol to wireless sensors and networks based smart building." In Electronics, Communication and Aerospace Technology (ICECA), 2017 International conference of, vol. 2, pp. 700-705. IEEE, 2017.
  • Leightley, D., Mukhopadhyay, S.C., Ghayvat, H. and Yap, M.H., 2017, May. Deep convolutional neural networks for motion instability identification using kinect. In 2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA) (pp. 310-313). IEEE..
  • Awais, M. and Ghayvat, H., 2018, November. Face and Its Features Detection during Nap. In 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP) (pp. 1-5). IEEE.
  • Ghayvat, H., Mukhopadhyay, B. Shenjie, A. Chouhan, and W. Chen. "Smart home based ambient assisted living: Recognition of anomaly in the activity of daily living for the elderly living alone." In 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2018.