Workshop on Networking Humanitarian Technology for Healthcare (NetHealth)
Event Date: Wedesday, 3 January 2024
Gallery
Schedule
Wedesday, 3 January 2024 | ||
Venue: INDIAN AFFAIRS | ||
Time | Title | Speaker/Authors |
Session 1 | ||
9 AM - 9:15 AM | Welcome by Chairs | |
9:15 AM - 9:45 AM | Invited Talk 1:Exploring Health and Wellness through Respiratory Sensing | Rishiraj Adhikary, IIT Gandhinagar |
9:45 AM - 10:30 AM | Keynote Talk 1: Vijayarajan A InnAccel Technologies, India | Vijayarajan A InnAccel Technologies, India |
10:30 AM - 10:45 AM | Paper 1: Improved Child Safety using Edge-Fog-Cloud Enabled Smart IoT Wearable Device: An Architecture | Neha Agrawal (IIIT Sri City, India); Rohit Kumar (Shiv Nadar University, Chennai, India); Shashikala Tapaswi (Indian Institute of Information Technology and Management, India) |
10:45 AM - 11:00 AM | Paper 2: Body sensor-based Multimodal Nurse Stress Detection using Machine Learning | Abhinav Mathur, Shikha Shikha and Divyashikha Sethia (Delhi Technological University, India) |
11:00-11:30 | Networking over Tea/Coffee | |
Session 2 | ||
11:30 AM - 12:00 PM | Invited Talk 2: Health Sensing in the Era of Generative AI and RF/mmWave Systems | Manoj Gulati, National University of Singapore (NUS) |
12:00 PM - 12:45 PM | Keynote Talk 2: Dr. Varun Mishra, Northeastern University, Boston, USA | Dr. Varun Mishra, Northeastern University, Boston, USA |
12:45 PM - 1:00 PM | Paper 3: mTanaaw: A System for Assessment and Analysis of Mental Health with Wearables | Anuja Achyut Pinge (Bits Pilani K K Birla Campus, India); Dheryta Jaisinghani (University of Northern Iowa, USA); Surjya Ghosh (BITS Pilani Goa Campus, India); Aditya Challa (BITS Pilani K K Birla Goa Campus, India); Sougata Sen (BITS Pilani, Goa Campus, India) |
1:00 PM - 2:00 PM | Networking over Lunch | |
Session 3 | ||
2:00 PM - 2:45 PM | Keynote Talk 3: Prof. H. N. Suma BMSCE Bangalore, India | Prof. H. N. Suma BMSCE Bangalore, India |
2:45 PM - 3:00 PM | Paper 4: BlasT: Blood Clot Classification Model using Transfer Learning based Convolutional Neural Network | Shruti Mishra (IIT Ropar, India); Sujata Pal (Indian Institute of Technology Ropar, India); Sweta Dey (IIT Ropar, India) |
3:00 PM - 3:15 PM | Paper 5: Emotion Recognition from Facial Expressions using Deep Recurrent Attention Network | Neha Gahlan and Divyashikha Sethia (Delhi Technological University, India) |
3:30 PM - 4:00 PM | Networking over Tea/Coffee | |
Session 4 | ||
4:00 PM - 4:45 PM | Panel discussion: Role of AI in Network Health Applications: Trends and Challenges | Ashfaq Ashraf, (Co-founder Bagmo Pvt Ltd ), Suchetana Chakraborty, (Associate Professor, IIT Jodhpur), Supratik Mukhopadhyay (Professor at the Center for Computation & Technology, LSU ), Sandip Chakraborty (Associate Professor, IIT Kharagpur) |
4:45 PM - 5:00 PM | Paper 6: iMat: A Non-Intrusive and Low Cost Sleep Posture Estimation Mat | Ramandeep Singh (Tatras, India); Nishtha Phutela (BML Munjal University, India); Dheryta Jaisinghani (University of Northern Iowa, USA) |
5:00 PM - 5:15 PM | Paper 7: Medlet-Block: Secured Health-Based Cloudlet Platform using Blockchain | Atrayee Gupta (Techno Main Saltlake, India); Varun Agarwal (Techno Main Saltlake, Kolkata, West Bengal) |
55:15 PM - 5:30 PM | Paper 8: Dementia: Opportunities and Challenges of Technology-Assisted Intervention | Kishore Kumar Balaji (Sri Sairam Homoeopathy Medical College and Research Centre, India); Sumathi S (Sri sai ram Engineering College, India); Sharanya Rajan (Southampton General Hospital & University Hospital Southampton, NHS Foundation Trust, United Kingdom (Great Britain)); Mithileysh Sathiyanarayanan (MIT Square, United Kingdom (Great Britain)) |
5:30 PM - 5:45 PM | Closing & Best Paper Award announcement |
Accepted Papers
- Improved Child Safety using Edge-Fog-Cloud Enabled Smart IoT Wearable Device: An Architecture
Neha Agrawal (IIIT Sri City, India); Rohit Kumar (Shiv Nadar University, Chennai, India); Shashikala Tapaswi (Indian Institute of Information Technology and Management, India) - Body sensor-based Multimodal Nurse Stress Detection using Machine Learning
Abhinav Mathur, Shikha Shikha and Divyashikha Sethia (Delhi Technological University, India) - Dementia: Opportunities and Challenges of Technology-Assisted Intervention
Kishore Kumar Balaji (Sri Sairam Homoeopathy Medical College and Research Centre, India); Sumathi S (Sri sai ram Engineering College, India); Sharanya Rajan (Southampton General Hospital & University Hospital Southampton, NHS Foundation Trust, United Kingdom (Great Britain)); Mithileysh Sathiyanarayanan (MIT Square, United Kingdom (Great Britain)) - BlasT: Blood Clot Classification Model using Transfer Learning based Convolutional Neural Network
Shruti Mishra (IIT Ropar, India); Sujata Pal (Indian Institute of Technology Ropar, India); Sweta Dey (IIT Ropar, India) - Emotion Recognition from Facial Expressions using Deep Recurrent Attention Network
Neha Gahlan and Divyashikha Sethia (Delhi Technological University, India) - Medlet-Block: Secured Health-Based Cloudlet Platform using Blockchain
Atrayee Gupta (Techno Main Saltlake, India); Varun Agarwal (Techno Main Saltlake, Kolkata, West Bengal) - iMat: A Non-Intrusive and Low Cost Sleep Posture Estimation Mat
Ramandeep Singh (Sabudh, India); Nishtha Phutela (BML Munjal University, India); Dheryta Jaisinghani (University of Northern Iowa, USA) - mTanaaw: A System for Assessment and Analysis of Mental Health with Wearables
Anuja Achyut Pinge (Bits Pilani K K Birla Campus, India); Dheryta Jaisinghani (University of Northern Iowa, USA); Surjya Ghosh (BITS Pilani Goa Campus, India); Aditya Challa (BITS Pilani K K Birla Goa Campus, India); Sougata Sen (BITS Pilani, Goa Campus, India)
Call for Papers
Important Dates
Manuscript Submission Due: |
Notification of Acceptance: 3rd December 2023 |
Camera-ready Submission: 10th December 2023 |
Workshop Date: 3th January 2024 |
Submission Guideline
Papers submitted to the workshop should be prepared in standard IEEE Website format and should contain no more than six pages of technical content and the references. We will follow a double-blind review policy.
Paper submission link: https://edas.info/N31571
NetHealth (Network Health) is a yearly workshop that offers all stakeholders in the healthcare system a platform to learn, share and connect. Every year, the NetHealth Workshop brings together a multi-disciplinary audience from across the healthcare spectrum to share their ideas and break the conventional silos that exist in this field. This year’s NetHealth will cover healthcare-specific topics like Novel Medical Devices, Implants & Instruments, Artificial Intelligence, Bio-entrepreneurship, Tele-medicine, 3D printing, and Investment & Incubation opportunities as well as groundbreaking academic research.
This day-long workshop is for those working within the sphere of healthcare, be it clinicians, students, engineers, designers, innovators, policymakers or regulators, industry experts or anyone else working in support of healthcare.
We invite research papers and position papers that present novel ideas for networked computing technology in support of healthcare, and which are likely to invoke thoughtful discussion at the workshop. Both academia and corporate contributions are highly welcome and encouraged.
Any healthcare related topic that includes technology or the potential application of technology for healthcare will be considered. Even clinical study preliminary data indicating utility and efficacy/safety of a MedTech product can be considered for submission.
Topics of interest
The topics of interest include but are not limited to:
- Implantable medical devices & Instruments
- Mobile and wearable medical sensing applications
- Usability of mobile health applications and devices
- Clinical applications of mobile or networked healthcare
- Security and privacy in networked healthcare
- Impacting lifestyle choices through mobile health
- Remote diagnosis and remote consultation
- Remote access to electronic health records
- Sensor networks for public health monitoring and surveillance
- Cost-efficient and energy-efficient networking for remote healthcare
- Assistive medical technology
- Assistive robotics and prosthetics
- Rehabilitation engineering and assistive rehabilitative technology
- Design of wearable and home-care health devices
- Data analytics for personalized healthcare
- Big Data in Healthcare
- Apps for healthcare
- Healthcare Disaster Management
Keynote Speakers
Varun Mishra
Northeastern University, Boston, USAVisit Homepage
Varun Mishra is an assistant professor at Northeastern University, holding a joint appointment with the Khoury College of Computer Sciences and the Bouvé College of Health Sciences. His research focuses on leveraging ubiquitous technologies like smartphones and wearables to enable effective digital health interventions for mental and behavioral health outcomes. His research is in the broad field of ubiquitous computing and lies at the intersection of mobile/wearable sensing, human-centered computing, data science, and behavioral science. Mishra’s work is highly interdisciplinary, and he regularly collaborates with clinicians, psychologists, engineers, and other computer scientists to design, build, and deploy the tools and systems needed for their collective research goals. Mishra received his doctorate in computer science from Dartmouth College and worked as a postdoctoral researcher at the Center for Technology and Behavioral Health (CTBH) in the Geisel School of Medicine at Dartmouth before joining Northeastern.
Vijayarajan A
InnAccel Technologies, IndiaVisit Homepage
A. Vijayarajan is the founder and Chief Technology Officer of InnAccel, an Indian company that is building the first technology acceleration ecosystem to support affordable innovation in medical technology. A. has over 30 years of experience in the software and healthcare industries, including stints at HP Software, GE Healthcare, and Wipro Infotech Ltd. In 2010, they became the president of HIMSS Asia Pacific India Chapter, and they have also served as the CEO of ClinTics Solutions and CYRCA Data Security Solutions. A. Vijayarajan has an MBA from Marquette University, an M Tech in Computer Science from the University of Madras, and a BE in Electronics and Communication from the University of Madras.
H. N. Suma
BMSCE Bangalore, IndiaVisit Homepage
Dr. H. N. Suma is the Professor in the Department of Medical Electronics, BMSCE, Bangalore. She heads CIME (Center for Innovation in Medical Electronics). She is the Member of BOG, BMSCE. CEO of Center for Innovation, Incubation & Entrepreneurship (CIIE) and also Chief coordinator for Student satellite Project, BMSCE. She holds a UG Degree in Electronics & Communication from MCE, Hassan. Her PG Degree is in Bio-Medical Instrumentation from SJCE, Mysore. She holds a PhD from Mysore University. Her PhD thesis title was “Pattern Recognition Techniques for Regionalizing the Activity Patterns of the Human Brain using functional Magnetic Resonance Imaging (fMRI) data”. She has 30 publications to her credit in international and national journals and conferences. She has undertaken collaborative projects with National & International Institutions/ Hospitals: Biomedical Engineering school-Stanford University, FOETH-Oxford University, IISc, KIMSH, Raman Research Institute, NIMHANS to name a few. She has executed two funded projects and a consultancy project with FOETH-Oxford University. She is the Principal Investigator for two funded projects from DST (Development of portable digital X-Ray machine) and VGST and a consultancy project (Development of an automated ophthalmic KIOSK) in collaboration with NTU and TTSH, Singapore. Her Research Interests are: Medical Imaging, Brain Mapping, Brain Warping, Neural Networks and Pattern recognition.
Role of AI in Network Health Applications: Trends and Challenges
Panelists

Ashfaq Ashraf
Co-founder Bagmo Pvt LtdVisit Homepage
Mr. Ashfaq Ashraf is holding M.Tech degree in clinical engineering from IIT Madras. He had a professional experience of 10 years. He has worked as a cold chain consultant for UNICEF and NHSRC, GoI. He has done fellowship in maternal and child health. He has also worked in C-DAC, CMC Vellore and a few startups. He leads team Bagmo, with a vision of making safe blood available to rural areas. His interests are in developing better medical equipment lifecycle management practices and developing affordable products for primary healthcare delivery.

Suchetana Chakraborty
Associate Professor, IIT Jodhpur.Visit Homepage
Prof. Suchetana Chakraborty is working as an Associate Professor at the Department of Computer Science and Engineering, Indian Institute of Technology Jodhpur. Her research interests are broadly in the domains of Ubiquitous Computing, IoT and Edge Computing, Wireless sensor and mobile ad hoc networks, Distributed Systems and Smart city applications. She is one of the founding members of UbiSys Research Group in the department and actively involved in interdisciplinary research through IDRP - Smart Healthcare , IDRP - IoT & Applications and Centre of Emerging Technologies for Sustainable Development (CETSD). Currently, she is working as an Area Editor of Ad Hoc Networks journal, Elsevier. Also she is involved in organizing many conferences including IEEE ANTS 2021 (as Tutorial Co-chair), IEEE LCN 2021 , 2022, 2023(as TPC member), COMSNETS 2022, 2023 (as TPC member), ICDCN 2023, 2024 (as Workshop Co-chair) to name a few.

Supratik Mukhopadhyay
Professor at the Center for Computation & Technology, LSUVisit Homepage
Supratik Mukhopadhyay is full Professor at the Center for Computation & Technology Louisiana State University (LSU) and a Data Science Fellow at the LSU Office of Data and Strategy. Prof. Mukhopadhyay led the DeepDrug team (DeepDrug (lsu.edu)) for automated drug discovery using Artificial Intelligence to the semifinals of AI XPRIZE (among 147 teams worldwide), the world’s top competition for using AI for solving moonshot challenges (DeepDrug | AI XPRIZE). Combination therapy discovered by the DeepDrug Artificial Intelligence Platform for COVID-19 underwent human studies at the Riverside University Health System, California (Riverside University Health System Medical Center, Skymount Medical Begin U.S. Clinical Trial for COVID-19 Oral Therapeutics Discovered Using Artificial Intelligence | County of Riverside (rivco.org)) It has also been approved for human trials by MHRA in the United Kingdom (Skymount Medical Receives UK MHRA Approval to Test New (globenewswire.com)). Apart from Drug Discovery, Prof. Mukhopadhyay has worked on AI for education, port and supply chain security, satellite image understanding, video and image analytics, design of intelligent buildings and transportation systems, wildfire prediction and detection, conservation of endangered species, intelligent cyber-physical-human systems, etc. His DeepSat framework for satellite imagery understanding forms the basis of NASA Earth Exchange (NEX) (see DeepSAT: A Deep Learning Approach to Tree-Cover Delineation in 1-m NAIP Imagery for the Continental United States - NASA Technical Reports Server (NTRS)). In the last 14 years, Prof. Mukhopadhyay has received more than $9 million in research grants. His research research has been funded by the NSF, DARPA, ARO, ONR, NGA, NASA, DOE, USDOT, NRL, state agencies, and private industry. Prof. Mukhopadhyay has published around 125 refereed publications in reputed journals and conferences. He has been awarded 4 US Patents and has 8 US patents pending. He has received numerous awards for his research. He cofounded a startup Ailectric for commercializing his research on sound, video, and image analytics (Ailectric | Home | Artificial Intelligence | Deep Learning). He serves as an associate editor for IEEE Transactions on Artificial Intelligence and Remote Sensing letters and has served in the program committees of AAAI. Professor Mukhopadhyay serves as a member of the Multidisciplinary Expert Group of the Innovation Facility, United Nations Environmental Program..

Sandip Chakraborty
Associate Professor, IIT KharagpurVisit Homepage
Sandip Chakraborty is working as an Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology (IIT) Kharagpur. He obtained his Bachelor of Engineering (BE) degree from Jadavpur University, Kolkata in 2009 and Master of Technology (M Tech) and Doctor of Philosophy (Ph.D.), both from IIT Guwahati, in 2011 and 2014, respectively. As a system researcher, his primary research interests is in the intersection of computer systems, human computer interaction and machine learning. More specifically, he work on various aspects of computer systems and networks, the development of assistive technologies for societal well-being, and the design of distributed, pervasive, and ubiquitous technologies over mobile devices and smartphones. He is coordinating the Ubiquitous and Networked Systems Lab (UbiNET) at IIT Kharagpur, focusing on various aspects of computer systems along with the design and development of ubiquitous and pervasive sensing systems. He is an active member of the COMSNETS Association, India, IEEE COMSOC, ACM SIGCOMM, and ACM SIGMOBILE. He is one of the founding members of ACM IMOBILE, the ACM SIGMOBILE chapter in India. Currently, He is also working as an Area Editor of Elsevier Ad Hoc Networks and Elsevier Pervasive and Mobile Computing journals.
Invited Talk
Rishiraj Adhikary
Indian Institute of Technology GandhinagarVisit Homepage
Respiratory rate serves as a vital marker for assessing patients' health conditions, detecting early signs of deterioration, and aiding healthcare practitioners in preventing multi-organ damage, cardiac arrest, and fatalities. In this talk, I will delve into my research on sensing respiration rate by featuring two projects - SpiroMask and JoulesEye. SpiroMask is a retrofit device designed to be integrated into N95 or cloth masks. It continuously monitors respiration rates within the mask while filtering out speech and noise signals. Beyond tracking respiration rates, SpiroMask possesses the capability of monitoring forced exhalations, which is instrumental in assessing lung health akin to Spirometry. My subsequent project, JoulesEye, leverages a thermal camera to accurately extract respiration rates during strenuous activities such as cycling and vigorous running. This respiratory data is then processed to provide precise estimates of energy expenditure and calorie burn during exercise, surpassing the accuracy of mainstream fitness trackers. Furthermore, JoulesEye demonstrates the enhanced accuracy achieved by combining heart rate and respiration data for calorie burn estimation during physical activity.
Rishiraj Adhikary is a fifth-year Ph.D. candidate at the Indian Institute of Technology (IIT), Gandhinagar, with a research focus on Ubiquitous Computing, particularly in the area of sensing physiological data for healthcare applications. He previously served as a Fulbright-Nehru Doctoral Research Fellow at Carnegie Mellon University and is currently a Prime Ministers Research Fellow (PMRF), continuing his research journey.
Manoj Gulati
National University of Singapore (NUS)Visit Homepage
Manoj Gulati is an applied researcher working at the intersection of ultra-low-power systems and embedded sensing at School of Computing at NUS, Singapore. He has more than 12 years of hands-on experience in Hardware Design. He is highly skilled in Embedded Systems, PCB Designing, Microprocessors and Embedded C. He is a strong research professional with a Doctor of Philosophy (Ph.D.) focused in Embedded Sensing and Energy Sustainability from IIIT, Delhi (India) along with three years research experience in LARC Centre, School of Computing and Information Systems, Singapore Management University (Singapore) and one year research experience in Paul G. Allen Center for Computer Science and Engineering at University of Washington, Seattle (USA).
Technical Program Committee
- Dr. Abhishek Appaji, BMSCE
- Anand Nayyar, Duy Tan University, Vitnam
- Ashwini Holla, Canara Engineering COllege
- Ashwathi, Doozee
- Aarathi Prasad, Skidmore College
- Atheeth S, IISc Banglore India
- Chengappa, HPE
- Dr. Divyashikha Sethia , Delhi Technology University
- Dr. Kumar Chokalingam, Sr. Clinical Research Manager, Dozee
- Jagruthi D Atada, Director of Clinical Data Engineering Origin Health
- Dr Mithileysh Sathiyanarayanan, CEO, MIT Square, London
- Pooja Kadambi, Head of Innovations & Clinical Research, Dozee
- Dr Pushpamala SDayananda Sagar University
- Rishiraj Adhikary, IIT Gandhinagar
- Dr Srikanth Tangade, CHRIST University, India
- Dr Sharanya Rajan, Doctor, NHS, UK
- Sougata sen, BITS Pilani Goa
- Vijayalakshmi K,BMSCE
- Mr. Vijayarajan A, InnAccel Techonologies, India
- Zainul Chabriwala, Tricog Health, India
Workshop Co-Chairs

Ashwini Appaji
BMS College of Engineering
Bangalore, India

Dheryta Jaisinghani
University of Northern Iowa
USA