Artificial Intelligence, Electrical and Electronic Engineering, Computer Science, Multidisciplinary
9
Scopus Publications
121
Scholar Citations
4
Scholar h-index
3
Scholar i10-index
Scopus Publications
Threads of Progress: Weaving Indian Fabric of Generative AI Into the Global Tapestry Sachin Motwani IT Professional, 2026 Generative artificial intelligence (GAI) represents a cutting-edge evolution of AI, capable of generating novel content, concepts, and conclusions. This article explores India’s distinctive development pathways to adopt GAI and what this vibrant exemplar of the Global South has to offer the world. Notably, it examines GAI’s transformative influence on India’s socioeconomic fabric, unraveling the revolutionary changes it is ushering into critical sectors, including agriculture and health care. It also discusses how India’s inherent unique challenges are sculpting the GAI framework. Straddling a compelling dichotomy, it unveils GAI’s capacity to propel innovation while adapting to the intricate socioeconomic tapestry of the Global South. Through comparative analysis with the Global North and strategic policy suggestions, this narrative illuminates India’s potential to redefine GAI’s evolution trajectory, casting a promising light on its implications for the broader global AI domain.
MuSARCyto: Multi-Head Self-Attention-Based Representation Learning for Unsupervised Clustering of Cytometry Data Anubha Gupta, Ritika Hooda, Sachin Motwani, Dikshant Sagar, Priya Aggarwal, Vinayak Abrol, Ritu Gupta Cytometry Part A, 2025 Cytometry enables simultaneous assessment of individual cellular characteristics, offering vital insights for diagnosis, prognosis, and monitoring various human diseases. Despite its significance, the process of manual cell clustering, or gating, remains labor‐intensive, tedious, and highly subjective, which restricts its broader application in both research and clinical settings. Although automated clustering solutions have been developed, manual gating continues to be the clinical gold standard, possibly due to the suboptimal performance of automated solutions. We hypothesize that their performance can be improved via an appropriate representation of data from the clustering point of view. To this end, this work presents a novel unsupervised deep learning (DL) architecture wherein an efficient cytometry data representation is learned that helps discover cluster assignments. Specifically, we propose MuSARCyto, a multi‐head self‐attention‐based representation learning network (RN) for the unsupervised clustering of cytometry data, utilizing a fully‐connected representation network backbone. To benchmark MuSARCyto against the state‐of‐the‐art cytometry clustering methods, we propose a cluster evaluation metric adjudicator score (), which is an ensemble of prevalent cluster evaluation metrics. Extensive experimentation demonstrates the superior performance of MuSARCyto against the existing state‐of‐the‐art cytometry clustering methods across six publicly available mass and flow cytometry datasets. The proposed DL achitectures are small and easily deployable for clinical settings. This work further suggests using DL methods for identifying meaningful clusters, particularly in the context of critical immunology applications.
SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images Anubha Gupta, Shiv Gehlot, Shubham Goswami, Sachin Motwani, Ritu Gupta, Álvaro García Faura, Dejan Štepec, Tomaž Martinčič, Reza Azad, Dorit Merhof, Afshin Bozorgpour, Babak Azad, Alaa Sulaiman, Deepanshu Pandey, Pradyumna Gupta, Sumit Bhattacharya, Aman Sinha, Rohit Agarwal, Xinyun Qiu, Yucheng Zhang, Ming Fan, Yoonbeom Park, Daehong Lee, Joon Sik Park, Kwangyeol Lee, Jaehyung Ye Medical Image Analysis, 2023
Changing Landscape of Technical Education Pedagogy From Traditional to Practical e-Learning Anubha Gupta, Sachin Motwani, Abhishek Agarwal, Vishaal Udandarao, Tanmoy Chakraborty Computer, 2022 With the COVID-19 pandemic, online university education assumed greater importance. We propose a practical e-learning model with suggestions to augment online education of all forms to support effective technical education. We also share our experiences of implementations of some of these suggestions in online teaching.
Makers' Studio: Enabling Education and Skill Development Through ICT Sachin Motwani, Anubha Gupta IT Professional, 2022 Education has been evolving with the advancements in information and communication technologies (ICT). The pace of this modernization is determined by the requirements of the society and the technological developments. Although online mode of education has existed since past four decades, an abrupt shift to completely online mode during COVID-19 exposed the lack of proper infrastructure and technological solutions for the same. This article contributes to fill-in this gap and proposes a community-based approach of learning via the establishment of Makers’ Studios, where all the stakeholders of the academic community will have contributions and takeaways. Makers’ Studio will be a public premise providing access to its members of numerous ICT-enabled educational facilities that would, otherwise, be inaccessible or expensive for an individual. This article describes working of the Makers’ Studio, analyze its return-on-investment, and presents role of its stakeholders, i.e., learners, instructors, academic institutions, policy makers, industry, and independent bodies.
Ethics in Autonomous Vehicle Software: The Dilemmas Sachin Motwani, Tarun Sharma, Anubha Gupta Computer, 2021 Automation is everywhere in the automobile industry. Ethical dilemmas pose a major challenge while designing such systems. It becomes imperative to discuss these dilemmas, thereby helping the software architects to design safe, secure, and reliable software for autonomous vehicles.
Experiencing Hyperloops: The Transit of the Future Sachin Motwani, Anubha Gupta Computer, 2021 This article explores the hype about hyperloops, discussing technological aspects, passenger experiences, competing transit modes, and possibilities for a transportation revolution.
Tactical Drone for Point-to-Point data delivery using Laser-Visible Light Communication (L-VLC) Sachin Motwani 3rd International Conference on Advanced Communication Technologies and Networking Commnet 2020, 2020 Delivery of sensitive data between military bases near critical zones is a crucial task. Currently, it is done either through wireless modes such as the internet or radio-frequency; or in-person. But these have problems such as data-breach, unaddressed-access and delay. In order to address this, the paper proposes the use of tactical drones and Laser-based Visible Light Communication (L-VLC). The idea is to control the drone from data source, upload it with encrypted confidential data, fly it to near the destination and deliver data to the end node without landing; returning to the source thereafter. A lot of investment is already being done on Unmanned Aerial Systems (UAS) for military applications such as surveillance and logistics. The use of L-VLC not only brings additional functionality to the current investments but also resolves this major problem, along with increased security, reduced delay and an environment-friendly approach. Due to its Point-to-Point data delivery mechanism, it ensures end-node delivery with instant acknowledgment. The paper also contains some basic theoretical analysis of specifications for the drone, memory element, L-VLC transmitter and receiver; to be used for this purpose. However, a complex mathematical analysis on the detailed simulation parameters is kept for the further study on the method. The future scope of the related technologies such as Drone-as-a-Service, improving drone control system security, multi-drone L-VLC network are also briefly touched.
RECENT SCHOLAR PUBLICATIONS
Threads of Progress: Weaving Indian Fabric of Generative AI Into the Global Tapestry S Motwani IT Professional 28 (2), 34-41 , 2026 2026
MuSARCyto: Multi‐Head Self‐Attention‐Based Representation Learning for Unsupervised Clustering of Cytometry Data A Gupta, R Hooda, S Motwani, D Sagar, P Aggarwal, V Abrol, R Gupta Cytometry Part A 107 (8), 551-567 , 2025 2025
Segpc-2021: A challenge & dataset on segmentation of multiple myeloma plasma cells from microscopic images A Gupta, S Gehlot, S Goswami, S Motwani, R Gupta, ÁG Faura, D Štepec, ... Medical Image Analysis 83, 102677 , 2023 2023 Citations: 79
Changing landscape of technical education pedagogy from traditional to practical e-learning A Gupta, S Motwani, A Agarwal, V Udandarao, T Chakraborty Computer 55 (11), 16-28 , 2022 2022 Citations: 7
Makers’ Studio: Enabling education and skill development through ICT S Motwani, A Gupta IT Professional 24 (1), 18-26 , 2022 2022 Citations: 1
Ethics in autonomous vehicle software: the dilemmas S Motwani, T Sharma, A Gupta Computer 54 (8), 46-55 , 2021 2021 Citations: 3
Experiencing Hyperloops: The Transit of the Future S Motwani, A Gupta Computer 54 (7), 37 - 45 , 2021 2021 Citations: 13
Tactical drone for point-to-point data delivery using laser-visible light communication (L-VLC) S Motwani 2020 3rd International Conference on Advanced Communication Technologies and … , 2020 2020 Citations: 18
MOST CITED SCHOLAR PUBLICATIONS
Segpc-2021: A challenge & dataset on segmentation of multiple myeloma plasma cells from microscopic images A Gupta, S Gehlot, S Goswami, S Motwani, R Gupta, ÁG Faura, D Štepec, ... Medical Image Analysis 83, 102677 , 2023 2023 Citations: 79
Tactical drone for point-to-point data delivery using laser-visible light communication (L-VLC) S Motwani 2020 3rd International Conference on Advanced Communication Technologies and … , 2020 2020 Citations: 18
Experiencing Hyperloops: The Transit of the Future S Motwani, A Gupta Computer 54 (7), 37 - 45 , 2021 2021 Citations: 13
Changing landscape of technical education pedagogy from traditional to practical e-learning A Gupta, S Motwani, A Agarwal, V Udandarao, T Chakraborty Computer 55 (11), 16-28 , 2022 2022 Citations: 7
Ethics in autonomous vehicle software: the dilemmas S Motwani, T Sharma, A Gupta Computer 54 (8), 46-55 , 2021 2021 Citations: 3
Makers’ Studio: Enabling education and skill development through ICT S Motwani, A Gupta IT Professional 24 (1), 18-26 , 2022 2022 Citations: 1
Threads of Progress: Weaving Indian Fabric of Generative AI Into the Global Tapestry S Motwani IT Professional 28 (2), 34-41 , 2026 2026
MuSARCyto: Multi‐Head Self‐Attention‐Based Representation Learning for Unsupervised Clustering of Cytometry Data A Gupta, R Hooda, S Motwani, D Sagar, P Aggarwal, V Abrol, R Gupta Cytometry Part A 107 (8), 551-567 , 2025 2025
