Dr Imran Pancha from the Department of Biology, SRM university – AP is recognised in Biotechnology among the top 2% scientists/researchers across the world By Stanford University Researchers. Recently an article has been published in PLOS Biology by Stanford University Researchers on the highly cited researchers in 22 different fields and their subfields. In the Biotechnology field, 1,074 scientists/faculty members were identified, and Dr Imran Pancha is one amongst them. From India, only 77 scientists/faculty members could achieve this honour, and Dr Imran Pancha is one among them. This is an admirable achievement for a young faculty from a nascent University to be in the top 2% scientists of the world. Dr P Sathyanarayanan, the President of SRM University-AP honoured Dr Pancha for bringing this scientific laurel to the university.
Overall, of the top 160,000 scientists from different fields of Science & Technology, India hosts 2,313 scientists/faculty members. This list comprises of the prominent and illustrious scientists from India.
Dr Imran Pancha is a young researcher working as an Assistant Professor in the Department of Biology in SRM University-AP, Andhra Pradesh. He has obtained his doctoral degree from CSIR-Central Salt and Marine Chemicals Research Institute-Bhavnagar after graduating from Bhavnagar University. He has also worked as a post-doctoral fellow at Japanese Society for Promotion of Science, Japan before joining SRM University-AP.
Dr Pancha’s primary research focus is to produce renewable energy from microalgae. His team is trying to develop integrated microalgal bio-refinery to produce high-value compounds like phycobiliproteins, carotenoids along with biofuel and bio-fertilisers from microalgae. Apart from this, he is also interested to understand algal-bacterial interaction, particularly isolate and characterise the microalgae associated bacteria and finding their role in growth enhancement and inhibition in microalgae.
Who could have thought of implementing Blockchain in order to enhance cybersecurity before Ms Vyshnavi Garipelly? The answer is simple- No one. That is why Ms Vyshnavi has been able to secure a Guinness Record with her pioneering research “Using blockchain technologies implemented on cybersecurity”, which was published on International Conference on Research Challenges in Engineering and Technology (ICRCET) on 30 October 2020. Ms Vyshnavi is currently in the final year of her Computer Science and Engineering undergraduate degree.
Blockchain enables security systems, deployed in organizations, to use distributed key public infrastructure to authenticate devices and users. Blockchain’s robust DNS entry approach can improve security by removing a single target that can be compromised. At the same time, it provides the ability to resolve single attack points and multiple targets, such as a database, network, or data centre, at a single access point, and provides the ability to resolve a single point of attacks while simultaneously resolving multiple target attacks, such as a server-sided attack. She has explored the possibility of Blockchain Technology into two significant areas of Cyber Security¬
1. Implementing Security in Private message
As conversational commerce becomes more popular, a lot of metadata is collected from customers during these exchanges on social media. While many messaging systems use end-to-end encryption, others are beginning to use Blockchain to keep that information secure. At the moment, most messaging apps lack a standard set of security protocols and a unified API framework for enabling “cross-messenger” communications. The emerging secure blockchain communication ecosystems tackle this issue and work towards creating a new system of unified communication. Blockchain is an excellent solution for that as it secures all data exchanges and enables connectivity between different messaging platforms. Many companies are looking at Blockchain to secure their personal and private information exchanged over chats, messaging apps and social media. They hope to make it into a secure platform with the help of Blockchain and impenetrable to foreign attacks. Ms Vyshnavi has improved the security through these three methods-
A. Improved PKI
PKI or Public Key Infrastructure keeps messaging applications, emails, websites and other forms of communication secure. But they all rely on third-party certification authorities to issue, revoke or store key pairs. These certification authorities can become an easy target for hackers with spoof identities, trying to penetrate encrypted communications. On the other hand, when keys are published on a blockchain, it leaves no scope for a false key generation or identity theft as the applications verify the identity of the person one is communicating with.
B. Intact Domain Name System (DNS)
The DNS is an easy target for malicious activities as hackers can bring down the DNS service providers for major websites like Twitter, Paypal and others. A Blockchain approach to storing these DNS entries can improve the security extensively because it removes that one single target which can be compromised.
C. Diminished DDoS attacks
A distributed denial-of-service (DDoS) attack is an attack in which multiple compromised
computer systems attack a target, such as a server, website or another network resource, and cause a denial of service for users of the targeted resource. This forces the system to slow down or even crash and shut down, thereby denying service to legitimate users or systems. This problem can be solved by integrating Blockchain into decentralized solutions which can protect against such attacks. “Nowadays, multiple measures for security are being developed and adopted, and yet threats develop and adapt itself accordingly. However, with Blockchain, we now have a vast scope of ensuring that the data is safe,” says Vyshnavi.
2. Transaction security developed by COIN APP.
COINAPP is an easy-to-use cryptocurrency application for resource-constrained businesses, that are not currently equipped to handle the ledger information securely. COINAPP replaces third-party transaction vendors, and it keeps all transactional data between two peers encrypted. The boosted level of security helps companies to keep transparent records in a public sphere.
With the internet shrinking the world into a global village, more and more people are joining social media. The number of social media platforms is also on the rise. More social apps are being launched with each dawn as conversational commerce gains popularity. Vyshnavi’s research has a massive impact on society, as in the recent past, numerous attacks have been executed against social platforms like Twitter and Facebook. These attacks resulted in data breaches with millions of accounts being hacked and user information landing into the wrong hands. Blockchain technologies, if well implemented in these messaging systems, may prevent such future cyberattacks. COINAPP also has huge industry impact as it can be easily integrated with platforms like WhatsApp, Facebook Messenger etc. No matter where or how it is applied, the key factor in using Blockchain as a cybersecurity method is decentralization. When access control, network traffic, and even data itself are no longer held in a single location, it becomes much more difficult for cybercriminals to exploit. This research has the potential to strengthen security, decreasing vulnerability.
“Joining SRM University-AP was the best decision of my life. The continuous support from the faculty has completely moulded me into thinking more logically and creatively. It was wonderful to explore the possibilities at the University of Wisconsin-Madison during the Semester Abroad Programme. I came across with success when I won some of the hackathons at Denver and California with the bounties. The opportunity to work on Blockchain and cybersecurity knocked on my door while I was staying here,” exclaimed Vyshnavi.
Ms Vyshnavi is now willing to take her research further. She always wanted to do something that can contribute to society meaningfully. Hence, she is looking for industry collaboration to implement her research in the real world to make a difference.
Dr Tousif Khan N, Head of the Department, Electrical and Electronics Engineering at SRM University-AP, Andhra Pradesh has been elected as a Joint Secretary (2020-2023) of the prestigious Automatic Control and Dynamic Optimization Society (ACDOS), Indian national member organization of International Federation of Automatic Control (IFAC). The objective of ACDOS is to promote automatic control and dynamic optimization fields in academia and industry across India. The society aims to host international conferences and technical workshops regularly in order to promote close interaction between industry professionals and academia. The society also participates in curriculum development for graduate and under-graduate studies in addition to facilitating productive research in this area. The society volunteers to honour eminent persons who excelled in this field in industry and academic circles.
Dr Tousif Khan N is an Assistant Professor in the Department of Electronics and Electrical Engineering at SRM University-AP, Andhra Pradesh. He has obtained his PhD from Indian Institute of Technology, Guwahati. Apart from performing his duties as a teacher, he is pursuing his research career in Control systems, Power Electronics and Optimization Techniques. The very young and talented professor has been honoured with several awards and recognitions for his pursuits in the domains of Teaching and Research. As a Joint Secretary of ACDOS, Dr Khan wishes to contribute further to the versatile worlds of Research and Academia.
The other members of ACDOS are eminent researchers and scientists such as Prof. Sukumar Mishra (IIT Delhi) as President, Dr Jayesh Barve (GE, Bangalore) as Vice-President and President-Elect, Dr Shaik Faruque Ali (IIT Madras) Vice-President, Prof Bidyadhar Subudhi (IIT Goa) as Vice-President, Dr Arnab Maity (IIT Bombay) as General Secretary, Dr S. N Omkar (IISc-Bangalore) as Treasurer and Prof Radhakant Padhi (IISc Bangalore) as Director of Operations.
To know more about ACDOS, please click the link: https://www.acdos.org/
Smart algorithm to optimize performance of the heterogeneous multi-cloud network
Dr Sambit Kumar Mishra
As the world goes more digital in the future, the dependability on cloud computing is going to be more. The availability of high-capacity networks, low-cost computers and storage devices as well as the widespread adoption of hardware virtualization, service-oriented architecture and autonomic and utility computing has led to growth in cloud computing. But is it enough? How to improve its performance? How to make it more reliable with high-end technology and impeccable performance quality? Dr Sambit Kumar Mishra’s research has an answer to that.
System Model for Multi-cloud Networks Dr Sambit Kumar Mishra, Assistant Professor, Computer Science and Engineering has published a paper “Energy-Aware Task Allocation for Multi-Cloud Networks” in renowned journal IEEE ACCESS with an Impact Factor: 3.745. The research was done in collaboration with Dr Sonali Mishra, SOA (Deemed to be) University Bhubaneswar, India; Dr Ahmed Alsayat, College of Computer and Information Sciences Jouf University, Al-Jouf, Saudi Arabia; Dr N Z Jhanjhi and Dr Mamoona Humayun, School of Computer Science and Engineering (SCE), Taylor’s University, Malaysia; Dr Ashish Kr. Luhach, The PNG University of Technology, Papua New Guinea Lae, Morobe; Dr Kshira Sagar Sahoo, VNRVJIET, Hyderabad, India.
Example of Direct Acyclic Graph (DAG)with four TasksIn recent years, the growth rate of Cloud computing technology is exponentially, mainly for its extraordinary services with expanding computation power, the possibility of massive storage and all other services with the maintained quality of services (QoS). The task allocation is one of the best solutions to improve different performance parameters in the cloud, but when multiple heterogeneous clouds come into the picture, the allocation problem becomes more challenging. This research work proposed a resource-based task allocation algorithm. The same is implemented and analysed to understand the improved performance of the heterogeneous multi-cloud network. The proposed task allocation algorithm (Energy-aware Task Allocation in Multi-Cloud Networks (ETAMCN)) minimizes the overall energy consumption and also reduces the makespan. The results show that the makespan is approximately overlapped for different tasks and does not show a significant difference. However, the average energy consumption improved through ETAMCN is approximately 14%, 6.3%, and 2.8% in opposed to the random allocation algorithm, Cloud Z-Score Normalization (CZSN) algorithm, and multi-objective scheduling algorithm with Fuzzy resource utilization (FR-MOS), respectively. An observation of the average SLA-violation of ETAMCN for different scenarios is performed.
Energy Consumption Vs SLA Violation when
the number of VMs varies and the number of Task is 100.The multi-cloud strategy offers flexibility to service providers. It allows businesses to be productive while using the proper set of services to optimize their opportunities. Adopting a multi-cloud network enables an enterprise to implement a “best of breed” model for the services. Organizations’ ability to choose the vendor that offers the best price for their workload is added significant advantage of multi-cloud. Thus, the optimization of energy consumption in a multi-cloud environment is necessary for the current generation.
However, this proposed work has not considered any priority-oriented users, such as task execution through reserve resource in the network, which will be considered as his future work. The future work also aims to propose a task cum resource-aware scheduling approach that will exploit the nature of the presented workload and efficiently map on the available Cloud resources so that energy consumption will optimize.
Link to the research paper: Please Click Here
SRM University AP-Andhra Pradesh has collaborated with the Indian Institute of Remote Sensing (IIRS) -Indian Space Research Organization (ISRO)’s outreach programme. As part of the association, the students of SRM AP have the excellent opportunity to register for annual courses as well as live and interactive programmes being organized by IIRS-ISRO.
SRM AP encourages the students to proactively avail the interactive distance learning courses and webinars that will enable them to achieve their career goals in aerospace and geospatial technologies and make a mark globally.
Simulating time-variant channel impulse response for mmWave I2I channels using Doppler spread information
Dr Anirban Ghosh
Dr Anirban Ghosh, Assistant Professor, Electronics and Communication Engineering, has recently published a paper titled “Time Variance of 60 GHz VI2I channel”. The paper is published in the renowned journal Elsevier-Vehicular Communication with an Impact Factor of 4.7. This paper explores the implementation challenges in unlicensed 60 GHz frequency band for autonomous vehicle infrastructure. This work has been implemented in collaboration with his colleagues from NIT Durgapur and collaborators from Brno University under the aegis of Prof. Ales Prokes. This work is also funded by the Science Foundation grant (Czech) and National Sustainability Program grant (Czech) and DST-Core Research Grant(India).
Fig 1: Field test setup at the measurement site
Smart cities are cities on the move; having a mission of delivering people and goods with zero congestion, zero fatality and zero energy wastage. For realising this mission, a smart city needs an intelligent transport system (ITS). As far as the communication aspect of ITS is concerned, historically, the urban ITS planners were more concerned about vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) modes of communication. This is because the V2V and V2I channels are essentially wireless, and establishing reliable low-latency links over these channels is challenging. Infrastructure-to-infrastructure (I2I) communication is also an integral part of the ITS initiative, and due to their rapid, dynamic and non-invasive nature of the installation, wireless I2I links are preferred over wired links in several smart-road based ITS applications. In order to implement wireless I2I communication, transceivers may be fitted with different kinds of roadside units (RSUs), e.g., short height traffic signposts, overhead gantries, and cantilever sign supports. The traditional role of these RSUs is to support the basic ITS goals, i.e. driver assistance or traffic management. As the vehicular networks scale-up, ITS computations are being shifted to the edge, and the RSUs are going to play more prominent roles in the form of edge computing devices. For example, RSUs can form the cloudlet layer of a vehicular fog computing (VFC) architecture for the internet of vehicles (IoV).
Vehicular wireless I2I channels realise fixed-to-fixed (F2F) radio communication between two RSUs. For any F2F radio channel with stationary transmitter (TX) and receiver (RX), the time-variance is caused by the mobility of the scatterers. These mobile scatterers, say passersby for an indoor scenario, or passing vehicles for an outdoor scenario, cause changes in path lengths in a fading multipath channel. When viewed in frequency-domain, this yields a change in carrier frequency termed as Doppler shift which is proportional to the velocity of the scatterer, and the spectral broadening caused by the time rate of change of the channel is measured with the Doppler spread. Information about Doppler spread is critical for V2V applications such as platooning. In the context of V2I applications, accurate estimation of the Doppler spread is required for designing adaptive transceivers, smart antennas and for determining cellular handoffs. Doppler spread information can also be used for I2I applications like speed estimation. The radar-based solution has a lower latency compared to a camera-based solution, owing to the video acquisition and processing time of the later. As the Doppler shift is a linear function of the carrier frequency, it is of greater concern while moving up in the frequency ladder to the millimetre wave (mmWave) regime. The Doppler spread in the unlicensed 60 GHz mmWave band would be 10-30 times that in the current sub-6 GHz band, with a range spanning from 10 Hz to 20 kHz depending on the velocity of the scatterers. Moreover, compared to V2V links, the effect of moving scatterers is much more pronounced in F2F links; walking pedestrians with a velocity order of ∼ 1 m/s or even the tree leaves fluttering in the wind are important for F2F channel modelling. For highways, the moving vehicles have a velocity an order higher (> 10 m/s) and contribute significantly to the time-variance of the roadside wireless I2I links.
Fig 2: Comparison of the measured and
proposed models of ACF and Doppler
Spectrum with existing analytical models
In this paper, Dr Ghosh studied the time-variance of a roadside infrastructure to infrastructure (I2I) channel operating at 60 GHz millimetre wave (mmWave) band, where the time-variance is caused by moving vehicles acting as scatterers. At first, measurement data is obtained by placing the transmitter (TX) and the receiver (RX) at different heights to emulate a link between two nonidentical roadside units (RSUs), and time-domain channel sounding is performed by sending complementary Golay sequences from the TX to the RX. A linear piecewise interpolation of the corresponding temporal auto-correlation function (ACF) is used to find the Doppler spread of the I2I channel, where their interpolation method compensates for a slower sampling rate. Next, a framework is presented for the time-variant channel impulse response (CIR) simulation, which focuses on moving scatterers only and validates the linear piecewise ACF model. The framework is useful for time-variant vehicular I2I channel simulation and in speed estimation related vehicular applications. Finally, a double-slope curve-fitted analytical model for ACF is proposed as a generalisation to the linear piecewise model. The proposed model and its Doppler spectrum are found to be in agreement with the analytical results for fixed-to-fixed (F2F) channels with moving scatterers and matches perfectly with the measured data. “Our research has explained a framework for simulating time-variant channel impulse response (CIR) for mmWave I2I channels with moving scatterers using Doppler spread information – which provides means to study the various characteristics of an I2I channel even without carrying out any expensive channel sounding campaign”, said Dr Ghosh.
Dr Ghosh and his collaborators are currently exploring further challenges in communication between vehicles (V2V) in the same frequency range (60 GHz).
To know more about the paper, please visit- https://www.sciencedirect.com/science/article/abs/pii/S2214209620300590?dgcid=coauthor
Dr Somesh Tiwari has received Mentoring of Engineering Teachers by INAE (Indian National Academy of Engineering) Fellowship -2020.
Dr Somesh Vinayak Tewari, Assistant Professor, Department of Electronics and Electrical Engineering, brings another honour for SRM University-AP. He has been selected for Mentoring of Engineering Teachers by INAE (Indian National Academy of Engineering) Fellowship -2020. His mentor during the programme will be Dr Archana Sharma, FIE, FNAE, Outstanding Scientist, Bhabha Atomic Research Centre.
The INAE (Indian National Academy of Engineering) provides funding to an Engineering Teacher for carrying out research in the selected/proposed area to be mentored by an INAE fellow. The scheme attempts to increase the knowledge base and is instrumental in building long term collaborations. Such mentoring program helps in bridging the collaboration between an academic area and a research and development organization which is extremely necessary to sow the seeds of research in young and energetic brains so that they are able to translate their research ideas for further growth. This interaction of ideas leads to a win-win situation for both the University and the research organization. The prestigious and highly competitive fellowship receives thousands of applications nationwide though only fifteen of them finally are selected for the fellowship this year by INAE. Dr Somesh is one of fifteen outstanding researchers.
Dr Tiwari will be working on the proposed research topic- “Studies on Inertial Electrostatic Confinement Concept in Deuterium gas environment”. Inertial Electrostatic Confinement (IEC) is an alternative concept to Magnetic and Inertial fusion. IEC fusion device is an extremely compact and simple device, running by high voltage as discharge on Deuterium -Deuterium/Deuterium-Tritium/Deuterium -3He fuel gases. Studies related to IEC find application in the areas of dosimeter calibration, isotope production, radiography, and has medical applications. Such a research is multifaceted and helps an engineering teacher to enhance his skills in experimental areas of high voltage, plasma physics, vacuum techniques, radiation detection and measurement and in numerical methods and simulation leading to a comprehensive analysis of a given problem. During the two months of the fellowship, Dr Archana Sharma will be mentoring the project. It is an excellent opportunity for our faculty to work with such a renowned scientist in such close proximity. The collaboration will be beneficial for both institutions.
Monochromatic painting of Mahatma Gandhi won hearts and the first prize at the inter-department competition.
Painting of GandhiThe Department of Electronics and Communication Engineering is very proud of its student Ms Vyshnavi Tanikonda for securing the first prize in the Independence Day Painting Competition. Ms Vyshnavi painted a beautiful monochromatic painting of Mahatma Gandhi, the ‘Father of the Nation’ who fought for the independence and sovereignty of the country till his last breath. Ms Vyshnavi, a 2nd-year student, successfully captured the true essence of the great patriot in her painting which brought her the top prize in the inter-departmental competition. The Department of ECE heartily congratulates its daughter for bringing this honour to the department.
K. Sree Rama Murthy, Second Year B. Tech-CSE student presented a paper at a conference in IIT-Kharagpur
K. Sree Rama MurthySRM University-AP always inspires the students in their pursuits, be it a job of their choice or a career in research and higher studies. K. Sree Rama Murthy, a 2nd-year student of B.Tech in Computer Science and Engineering, has recently presented a research paper on “A Block-wise Histogram Shifting based Reversible Data Hiding Scheme with Overflow Handling” in the Eleventh International Conference on Computing, Communication and Networking Technologies (11th ICCCNT), held at IIT Kharagpur, India in association with IEEE Kharagpur Section, during July 1 – 3, 2020.
Data hiding is a process of embedding a secret message into a cover medium for secure message transmission. The reversible data hiding techniques are recently explored in the domain of data hiding in which the cover image can be recovered while extracting the hidden secret message. The overview of a reversible data hiding scheme is shown in Figure. 1.
Figure 1. Overview of reversible data hiding
In this research paper, Sree Rama Murthy introduced a new reversible data hiding algorithm based on the histogram of the blocks of the cover images with an efficient overflow management technique to achieve a better embedding rate without compromising the visual quality of the stego image.
Design and development of reversible data hiding schemes are widely studied topic due to its wide scope in cloud computing and medical image transmission. This paper introduces a new reversible data hiding algorithm based on the histogram of the blocks of the cover images with an efficient overflow management technique. In the new scheme, the peak intensity value from each block is used for data hiding, and to make sure the correct recovery of the original image, the grayscale value used for data hiding from each block is embedded in the same block itself by replacing the least significant bits of eight selected pixels. The lossless recovery is ensured by embedding those least significant bits in the same block itself along with the secret message. Detailed theoretical analysis and experimental study of the scheme are carried out and discussed in this paper. The images from the standard image dataset of the University of Southern California (USC-SIPI) are used in their study.
“To be able to publish a research paper at such an early stage in a reputed conference like ICCCNT-2020 is an achievement that has acted as a cornerstone for my research aspirations. I feel highly encouraged, motivated and inspired to contribute more in the fields of research. I express my sincere gratitude to my professors, especially to Dr Manikandan V. M for providing me with the opportunity to collaborate. He put his trust on me, encouraged to do research with him and guided me with his knowledge and experience throughout the journey. I feel this is only the beginning for me, and I will try my best to accomplish more and retain more knowledge,” said Sree Rama Murthy.
Sree Rama Murthy plans to acquire a master’s degree in computer science and aspires to be a researcher who can make significant contributions in the domain of Computer Science and Engineering.
Department of Electronics and Communication Engineering, SRM University-AP, Andhra Pradesh organised an insightful workshop on “Artificial Intelligence (AI) for Healthcare” in collaboration with IEEE-SRM AP Student Branch on 25th July. Prof. D. Narayana Rao, Pro-Vice-Chancellor, inaugurated the session. The workshop was divided into two sessions.
1. Technical presentation
2. Panel discussion
Dr Muralikrishna Voonna, Managing Director, Mahatma Gandhi Cancer Hospital & Research Institute, and Dr Rajiv Janardhanan, Director, Amity Institute of Public Health, Professor ACVB participated in the technical presentation. Dr Voona delivered a lecture on “Impact of AI in Clinical Healthcare” whereas Dr Rajiv Janardhanan spoke on “Sustainable Healthcare: AI-enabled platforms for Affordable and Accessible Healthcare Solutions”.
Eminent panellists such as Padma Shree Awardee Prof. Upendra Kaul, Dr Pooja Ramakant, Dr Sunil Taneja, Dr Muralikrishna Voonna, and Dr Rajiv Janardhanan interacted on “Impact of Covid-19, AI on Healthcare” during the second half of the session. Prof. Priya Ranjan, Department of ECE, SRM-AP, acted as the moderator of the session. Dr Udaya Shankar V, Assistant Professor, Department of ECE, was the coordinator of the workshop.
In his opening remarks, Prof. D. Narayana Rao asserted that healthcare in India faces significant challenges on quality, accessibility and affordability for a large section of the Indian population. Many healthcare experts are aware that in India, 70% of healthcare infrastructures are in the cities which caters only to 30% of India’s Population. “The shortage of doctors, lack of infrastructures, different mindset about the urban and rural population of the country and low government spending on the healthcare are very much motivating India towards innovative and sustainable and affordable technology to improve the quality of life,” said Prof Rao. He further mentioned that AI in Indian healthcare is expanding at a significant rate of 40% approximately. The AI-enabled health services such as automated analysis of medical tests, predictive healthcare diagnosis with the help of monitoring equipment and wearable sensor-based medical devices are expected to revolutionise medical treatment process in the country. AI is being extensively used in six healthcare segments such as hospital administration, pharmaceuticals, diagnostics, medical equipment and supplies, medical insurance and telemedicine. “Moreover, hospitals can implement patient-centric plans with the help of AI to avoid unnecessary hospital procedures and making healthcare services faster in India. The Government of India also shows its keen inclination as in the past week, the Hon’ble prime minister Sri Narendra Modi had a discussion with the CEO of IBM regarding the development of AI-enabled medical instruments for healthcare in the country. Needless to say, there are a plethora of opportunities for new engineers and doctors,” opined Prof Rao.
In his talk, Dr Murali Krishna Voonna confirmed that Artificial intelligence has a huge potential to become a transformational force in healthcare. It allows humans to gain unprecedented insights into diagnosis, care process, treatment variability and patient outcomes. Nowadays, machine learning uses statistical technics to give computing systems to learn with incoming data to identify patterns and make decisions which will help the doctors to assess risks, make a correct diagnosis, and offer more effective treatments. Robot-assisted surgery is now being widely popular for the precision and accuracy in performing a complicated surgery. AI is world’s one of the highest growth industries projected to reach $150 billion by 2026. It can compensate for physician biases and be used in personalised therapy by studying genome. Dr Voonna further informed that there is a huge scope for development in the segments such as brain-computer interface, next-generation radiology tools, creation of precise analytics for pathology images, expanding access to treat underserved regions, clinical decision support etc. to name a few. “Several reputed companies have invested in India to improve the AI in healthcare. NITI Aayog is working with Google to develop artificial intelligence ecosystems in India both in training and research. They have started a National Research Strategy for Artificial Intelligence recently. National Digital Health Authority has been formed as a regulatory body which is going to make the regulation in the Artificial Intelligence in start-ups and business and commercialisation of the products. Still, AI in healthcare is a decision support tool but not a decision-making tool,” explained Dr Voonna.
In the opinion of Dr Rajiv Janardhanan, the healthcare disparity continued because the investments of the government in the years after independence is less than 2 %. COVID-19 has turned out to be a blessing for health care as it made people especially policy-makers to realise that the healthcare infrastructure needs to be improved drastically. The AI-enabled intelligent support system is required because of budget constraints, rising costs of advanced medical treatments, increased complexity and cost of delivering healthcare, as well as increased expectations and demand for quality patient-centred healthcare. India comprises of a healthcare ecosystem where 80% of the healthcare is expensive, and 70% of the population is living in rural areas with marginalised and inaccessible healthcare. This makes the rationale to develop tools which are community empowering. “Knowledge dissemination of health literacy is required necessarily to increase the productive hours of the nation. When we empower the stakeholders with health literacy it directly aligns with the health promotion efforts, provides a rationale with community-empowering policy decision making, where the weakest stakeholder in the healthcare system can be an active participant,” asserted Dr Janardhanan. AI-enabled tagging of data can convert precision medicine to a community-centric new system which is called precision public health. This conversion has to be technology-enabled with support from the engineering fraternity to make it affordable and accessible.
During the second half of the session, the panel discussed the impact of COVID-19 on health immunity system. Padma Shree Awardee Prof Kaul explained in detail how COVID-19 disease affects the human body and the process of vaccination. He gave a detailed overview of how vaccines are prepared and the process of a clinical trial. He further shared the updated information on the COVID-19 vaccine with particular focus on India’s progress in making the vaccine. Dr Taneja and Dr Ramakanth expressed their views on COVID situation based on their daily experience at the hospitals. The panel agreed that the adoption of artificial intelligence (AI) in the healthcare system enables healthcare services, delivered at a lower cost with increased efficiency and emphasis on the diagnostics. AI should be encouraged to be used in machines to predict, comprehend, learn and act. It has the ability to play the role of game-changer in the areas of wellness, early detection, diagnosis, decision making, treatment, end of life, research and training. However, some concerns related to the safety, data quality, accountability, transparency, legal aspects etc. still persists.
The enthralling session ended with the vote of thanks. The insightful event certainly helped the participants to understand the approach in which AI is reinventing and improving modern healthcare through technologies that can estimate, comprehend, explore, and perform effectively.