PGIMER , Chandigarh

About:

Postgraduate Institute of Medical Education and Research | PGIMER | Department of Hepatology MD, DM

Domain: Healthcare

Project Title:

Development, validation and deployment of a novel prediction model utilizing artificial intelligence on clinical and proteomic features to predict mortality among patients with acute-on-chronic liver failure

About Project:

Project aims to develop, validate, and deploy a novel AI-derived model on clinical and proteomic features to predict death in patients with ACLF.

IIIT Delhi

About:

Having earned a Ph.D. from Nanyang Technological University, Singapore, and completing undergraduate studies at the Indian School of Mines University, Dhanbad, India, the protagonist delves into the intricate realms of Multimedia, Vision, Image Processing, and Machine Learning. Their focus lies in the nuanced domain of fine-grained object recognition, navigating challenges in object re-identification, visual tracking, adversarial attacks, and cross-modal recognition. Notably recognized with the Early Career Research Award from the Department of Science and Technology, their research group, the Visual Conception Group, maintains a dynamic collaboration with esteemed institutions like NUS Singapore, QUT Australia, NII Japan, and UiT Norway, fostering a global network of innovation and knowledge exchange.

Domain: Other

Project Title:

Development, validation and deployment of a novel prediction model utilizing artificial intelligence on clinical and proteomic features to predict mortality among patients with acute-on-chronic liver failure

About Project: Project aim to develop, validate, and deploy a novel AI-derived model on clinical and proteomic features to predict death in patients with ACLF.

IIIT Delhi

About:

Acquiring a Ph.D. in Computational Systems Biology from Helsinki University of Technology (now Aalto), Finland, Dr. Vibhor embarked on a journey marked by computational innovation. His M. Tech. in computer technology from IIT Delhi laid the foundation for addressing computational challenges in analyzing vast image datasets from cryoEM and conducting statistical analyses of genomic data. During his doctoral pursuits, he achieved a groundbreaking feat, unraveling the native-state structure of LDL (bad cholesterol) at human body temperature, marking a milestone in structural biology. Post-Ph.D., Dr. Vibhor extended his computational expertise to genomic data, contributing to a personal-genomics company in Malaysia. With over 8 years at the Genome Institute of Singapore (GIS), his focus on epigenome and gene regulation has yielded significant contributions to diverse fields, including cancer and stem cell research. Presently, his endeavors intertwine data sciences and genomics, symbolizing a continued commitment to advancing the frontiers of scientific understanding.

Domain: Healthcare

Project Title:

Cognitive computing approach based analysis of genomic information in blood plasma for diagnosis and prognostic for cancer

About Project:

Project aims to revolutionize cancer diagnosis and prognosis by leveraging intelligent diagnostics and prognostics using cognitive computing and social sensing technologies. Traditional methods involving biopsy and staining-based tests for cancer detection and post-surgery follow-ups will be replaced by innovative techniques. The project focuses on utilizing molecular signatures in cell-free DNA and RNA from blood samples to predict the tissue of origin and presence of cancer. This non-invasive approach will enable early detection and tracking of tumor growth stages. However, the complexity lies in the computational analysis of diverse patterns present in DNA, RNA, and proteins, as different labs may introduce batch effects into the data sets.

IIIT Delhi

About:

Embodying a unique blend of expertise in physics, computer science, and computational biology, Prof. Ganesh Bagler stands as a luminary in the realm of computational research. Renowned for his groundbreaking work in ‘Computational Gastronomy,’ he has sculpted the discipline’s core through the creation of essential data repositories, algorithms, and applications. Prof. Bagler’s laboratory has been a crucible of innovation, significantly advancing the convergence of food, artificial intelligence, and data science. A multifaceted figure, he transcends disciplinary boundaries as a prolific interdisciplinary scientist, avid reader, adept science communicator, and TEDx speaker. Driven by insatiable curiosity, Prof. Bagler delves into unravelling the intricacies of diverse, complex systems, from proteins and brains to health, cuisines, languages, and creativity. His audacious vision revolves around revolutionizing the global food landscape through the ambitious goal of ‘Making Food compatible.

Domain: Healthcare

Project Title:

A Computational Gastronomy Framework for Achieving Better Nutrition and Public Health

About Project:

The project, titled “A Computational Gastronomy Framework for Achieving Better Health and Nutrition,” delves into the intersection of culinary arts, data science, and health research. By harnessing the power of computational methods and artificial intelligence, the project aims to explore the rich tapestry of culinary traditions, flavour compositions, and nutritional values inherent in global cuisines. The goal is to create an innovative Computational Gastronomy framework that compiles structured data of recipes, ingredients, and flavours, estimates nutritional content, and generates novel, palatable, and nutritious recipes.

IIIT Delhi

About:

Dr. Ranjitha Prasad, a distinguished scholar, earned her Ph.D. from the Indian Institute of Science in 2015, specializing in signal processing, Bayesian statistics, and, more recently, machine learning and deep neural networks. With a rich academic background, she served as a postdoctoral researcher at Nanyang Technological University and the National University of Singapore, Singapore. Later, she contributed her expertise as a scientist at TCS Innovation Labs in Delhi. Dr. Prasad’s outstanding contributions were recognized with the prestigious Seshagiri Kaikini Medal for the Best Ph.D. thesis (2014-2015) from the Council of the Indian Institute of Science. Additionally, she garnered acclaim for her research, winning the Best Paper in the Communications Track at NCC 2014, hosted at IIT Kanpur. Presently, her research pursuits focus on Causal Inference, Survival Analysis, and exploring sparsity in Bayesian neural networks.

Domain: Healthcare

Project Title:

Explainable AI Methods for Interpretable Transcriptomic Cancer Data Analysis

About Project:

The project aims to revolutionize cancer research and diagnosis by harnessing the power of cognitive computing and artificial intelligence (AI) techniques. Focusing on the analysis of single-cell transcriptomic data (sc-RNA), the study seeks to develop scalable and interpretable machine-learning methods to address challenges such as batch effects, dropout events, technical and biological noise, and the curse of dimensionality. The primary objective is to provide meaningful insights from sc-RNA data, enabling a deeper understanding of the genetic changes and mutations unique to individual cancer patients.

IIIT Delhi

About: 

Dr Anuj Grover, a seasoned professional with a diverse academic background, obtained his PhD from IIT Delhi in 2015, complemented by an MS in Electronic Circuits and Systems from UCSD in 2003 and a B Tech in EE from IIT Delhi in 2000. His extensive industry experience spans over 18 years, notably as a Principal Engineer at STMicroelectronics, Greater Noida. Currently associated with IIIT-Delhi as a Guest Faculty since January 2018, Dr. Grover’s expertise lies in semiconductor technologies, with a focus on memory design across various feature sizes. He is a prolific researcher who boasts over 25 publications in IEEE journals and conferences. Beyond his technical acumen, Dr. Grover is a TRIZ Level-3 certified professional, trained in the Theory of Inventive Problem Solving by MIT and MATRIZ, with certification from the World Intellectual Property Organization (WIPO). His research endeavors presently revolve around Ultra Low Power In-Memory Compute, safety and security in hardware, and error-resilient energy-efficient systems. Moreover, he is a certified Franklin Covey trainer for the 7 Habits of Highly Effective People Signature Program, expressing his commitment to holistic development within academic settings.

Domain: Other

Project Title:

Enabling Smart-sensors via Novel Edge-AI and In-memory Compute Paradigms: From Design, Prototype to Fabrication

About Project:

This initiative pioneers EDGE-AI devices, integrating AI/ML algorithms to minimize communication overhead in Industry 4.0. By efficiently implementing advanced algorithms on low-power hardware and optimizing IMC circuits, it achieves ultra-low-power cognitive computing, enhancing privacy, empowering energy-efficient technology, and shaping a secure, technologically advanced society.

IIIT Delhi

About:

Professor Anuradha Sharma, a distinguished mathematician, holds a prominent position in the Department of Mathematics at IIIT-Delhi. Her academic journey is adorned with excellence, earning a B.Sc. degree with Honours, followed by M.Sc. and Ph.D. degrees in Mathematics from the Centre for Advanced Study in Mathematics, Panjab University, Chandigarh, India. Her early achievements include a University Gold Medal for leading in M.Sc. Before joining IIIT Delhi, she served as an Assistant Professor at both IIT Delhi and the Centre for Advanced Study in Mathematics. Notably, she was honored with the Kusuma Outstanding Young Faculty Fellowship at IIT-Delhi. Specializing in Algebraic Coding Theory, her research portfolio extends to Number Theory and Algebra, culminating in approximately 40 research publications in esteemed international venues. Among her notable contributions is the book “Codes and Modular Forms: A Dictionary,” co-authored with Minjia Shi, YoungJu Choie, and Patrick Solé. Professor Sharma’s Erdős number, a measure of mathematical collaboration, stands at 3.

Domain: Healthcare

Project Title:

Development of efficient homomorphic secret sharing schemes for applications in public health

About Project:

This project aims to revolutionize data privacy and security through innovative approaches like Homomorphic Encryption and Secret Sharing Schemes. By enabling secure computations on encrypted data and developing privacy solutions for various devices, including mobile and IoT, the project ensures enhanced privacy, secure data sharing, and technological advancements. The outcomes include increased adoption rates, improved data security metrics, and positive user feedback, shaping the future of data-driven applications.

IIIT Delhi

About:

Dr. Rajiv Ratn Shah, a distinguished scholar, earned his Ph.D. in computer science from the National University of Singapore, following academic milestones that include M.Tech. and MCA degrees from the Delhi Technological University and Jawaharlal Nehru University, respectively. His academic journey commenced with a BSc in Mathematics (Honors) from Banaras Hindu University, Varanasi. Dr. Shah’s contributions have garnered recognition, marked by prestigious accolades such as the European Research Consortium for Informatics and Mathematics (ERCIM) Fellowship and a runner-up position in the Grand Challenge competition at the ACM International Conference on Multimedia. Actively engaged in top-tier international conferences and journals, he plays a vital role in organizing and reviewing scholarly events. Since joining IIITD in December 2016, Dr. Shah has further enriched his expertise through a one-year tenure as a Research Fellow in the Living Analytics Research Center (LARC) at the Singapore Management University, Singapore.

Domain: Legal Information Systems

Project Title:

Legal Text Simplification, Summarization and FAQ Retrieval

About Project:

This initiative simplifies complex Indian legal information into Simple, Actionable, Recallable, and Authoritative Legal (SARAL) data using AI. Breaking down language barriers, translating into 22 languages, and implementing an efficient FAQ system empower citizens with accessible legal knowledge and address exploitation concerns. This transformative approach promotes legal literacy, ensuring a fairer, informed society and reinforcing the foundation of legal rights for millions.

NIT Kurukshetra

About:

Dr. Sarika Jain, a seasoned academician, graduated from Jawaharlal Nehru University in 2001 and earned her Ph.D. in knowledge representation in Artificial Intelligence in 2011. With over 19 years in education, she currently serves at the esteemed National Institute of Technology Kurukshetra in India. Dr. Jain’s research prowess spans Artificial Intelligence, the Semantic Web, Ontological Engineering, and Knowledge Graphs, backed by grants from reputable organizations. A prolific author, she has published over a hundred peer-reviewed papers and held leadership roles in international conferences. Beyond her academic contributions, Dr. Jain has received awards, including Best Paper Awards and the Best Faculty Award at NIT Kurukshetra. Actively engaged in global collaborations, she welcomes scholars and interns to join her research group, emphasizing her commitment to fostering international partnerships.

Domain: Legal Information Systems

Project Title:

Multilingual and Culturally Customized Knowledge Management for Legal Information Processing and Management

About Project:

This project pivots to address Legal Information Processing and Management, proposing a globalized platform for multilingual legal data collection and curation. Leveraging semantic linked data and cognitive computing streamlines legal document classification, retrieval, and question-answering processes. The initiative empowers users with accessible legal insights, enhancing legal literacy and ensuring equitable access to legal resources, thus fortifying democratic principles within society.

IIIT Delhi

About:

Dr Vikram Goyal is a professor in the Department of Computer Science and Engineering at IIIT Delhi. He is also a member of the Infosys Center of Artificial Intelligence at IIIT Delhi. He is also a project director and is on board of IHub, a section-8 company established under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS) of the Department of Science and Technology, Government of India. He is also a board member of IIIT-Delhi.
He joined IIIT Delhi in 2008, and before that, he did his Ph.D. and M.Tech. from IIT Delhi and NSUT Delhi, respectively. His primary research focus is Data Science and Big Data Analytics. He has completed several Govt. funded and Consultancy projects at IIIT Delhi. He has supervised five PhD students and is currently guiding several others. He has also advised several MTech and BTech students on their projects. He has published his work at top Computer Science conferences and journals, including NAACL, ICDE, WSDM, TIST, ECML PKDD, and ECIR. He has co-chaired a committee that designed the CBSE’s K-12 Computer Science curriculum.

Domain:

Cognitive Computing & Social Sensing

Project Title:

A Tool to Detect Privacy Leaks in Deep Learning Models

About Project:

In the era of rapid machine learning advancements, Deep Learning (DL) models have become pervasive across various domains. However, their inherent complexity and opacity raise concerns about their integrity, bias, and fairness. This project aims to tackle these challenges by studying different attacks on DL models and developing a tool to assess ML models from various aspects. The tool will empower end-user agencies to make informed decisions regarding model deployment in real-world scenarios, aligning with cognitive computing settings where DL models play a pivotal role.

IIT Delhi

About:

A distinguished scholar, he achieved his Ph.D. as a Google India Ph.D. fellow at the Dept. of CSE, IIT Kharagpur, India, in September 2015. Subsequently, he contributed to the field as a postdoctoral researcher at the University of Maryland, College Park, USA, for around one and a half years. His outstanding Ph.D. thesis earned recognition as the best by Xerox Research India and IBM Research India. Notable accolades include the INAE doctoral level innovation student project award, best paper runner-up in ASONAM’16, and best poster award in Microsoft TechVista’15. Acknowledging his excellence, he received the prestigious Ramanujan Faculty Fellowship and DAAD Faculty Award. His research spans Network Science, Data Mining, Natural Language Processing, and Data-driven cybersecurity, where he actively contributes as a PC member in conferences like WWW, AAAI, PAKDD, IJCAI, and a reviewer for top journals including ACM TKDD, IEEE TKDE, ACM TIST, and CACM. Further showcasing his commitment, he co-organizes workshops like TextGraphs-10 (NAACL’16) and SMERP (ECIR’17, WWW’18), and serves as a co-editor for a special issue in Information System Frontiers.

Domain: Healthcare

Project Title:

Leveraging Multi-modality in Understanding and Summarizing Task-Oriented Dialogue Systems

About Project: This project addresses the gap in emotional intelligence and topic-aware summarization within dialogue systems. Divided into two tracks, the project aims to enhance dialogue understanding and summarization techniques, exploring emotion-aware dialogue-act and intent understanding, multi-modality incorporation, topic-aware summarization, and important utterance detection.

IIT Patna

About:

Dr. Asif Ekbal, an accomplished researcher, presently serves as an Associate Professor in the Department of Computer Science and Engineering at IIT Patna. With two decades dedicated to Natural Language Processing (NLP), Information Extraction, Text Mining, and Machine Learning (ML), he has authored approximately 300 papers in esteemed conferences and journals. Engaging in diverse sponsored research projects with private entities like Elsevier and Accenture and government agencies such as MeiTY and SERB, he contributes significantly to the field. Dr. Ekbal actively participates in renowned conferences as a PC Co-chair, Area Chair, and Reviewer. As an AI Standardization Committee member for the Government of India and Secretary of the NLP Association of India, he continues to make impactful contributions. His accolades include the “Best Innovative Project Award” from the Indian National Academy of Engineering and recognition in the top 2% of scientists by Stanford University and as a top computer scientist by Openresearch.com.

Domain: Healthcare

Project Title:

An Empathetic Knowledge-Grounded Conversational System for Mental Health Counseling and Legal Assistance

About Project: This project aims to develop a groundbreaking, Empathetic, Knowledge-grounded Chatbot for Mental Health Counseling and Legal Assistance, focusing on victims, especially women and children, who have faced harassment or abuse from various sources. The Chatbot will be multilingual, supporting English and Hinglish (Code-mixed Hindi and English). It will utilize background knowledge from knowledge graphs, knowledge bases, and user-specific and domain-specific information to provide empathetic mental counselling and legal assistance. The project addresses the lack of conversational agents in this specific domain and is designed to support victims in a sensitive and understanding manner.

IIIT Delhi

About:

As an Associate Professor of Computational Biology and Computer Science at IIIT-Delhi, Debarka holds an honorary position at the Queensland University of Technology-Brisbane. His academic journey includes doctoral and post-doctoral research at the Indian Statistical Institute’s Machine Intelligence Unit and the Genome Institute of Singapore, respectively. Pioneering advancements, his group spearheaded the integration of big data algorithms into single-cell genomics. Recognized for his contributions, Debarka received the INSPIRE Faculty Award from the Government of India in 2015. Notably, his lab achieved innovation by inventing and commercializing a panel of eleven platelet genes, revolutionizing the early detection of cancer onset.

Domain: Healthcare

Project Title:

A pre trained model-based approach to characterisation of functional heterogeneity in cancer

About Project:

This project addresses the computational gaps in genomics by exploring universal representation learning from vast genomic datasets. Leveraging advanced techniques like DeepSEA and DanQ, the project aims to revolutionize cancer research by embedding genomic alterations, understanding functional variants, and characterizing cellular heterogeneity in gallbladder tumors. Through innovative methodologies, such as the Aminoacid Switch Sequence Model (ASSM) and transfer learning from single-cell gene expression profiles, the project pioneers the integration of genomics and deep learning. The impact is profound, with direct applications in public health, potential for targeted therapies, and significant interest from industry leaders.

IIIT Delhi

About:

Dr Gaurav Ahuja, an accomplished molecular biologist, earned his Ph.D. in Natural Sciences summa cum laude from the University of Cologne, Germany. Specializing in functional genomics, he has excelled in unraveling intricate biological mechanisms using advanced techniques like genome editing and next-generation sequencing. Following his doctoral achievements, he contributed as a Post-Doctoral Fellow at esteemed institutions such as the Center for Molecular Medicine Cologne, Max Planck Institute for Ageing, and Lee Kong Chian School of Medicine, Singapore. Dr. Ahuja’s diverse research spans various model systems, from human pluripotent stem cells to zebrafish, mice, and killifish, resulting in 14 published articles in peer-reviewed international journals with around 250 citations. His expertise extends to article reviews for Nature Publishing Group, showcasing his commitment to advancing scientific knowledge. Recently, he earned recognition by being shortlisted for the prestigious INSPIRE Faculty Fellowship.

Domain: Healthcare

Project Title:

Computational-assisted and data-driven delineation of olfactory cognitive abilities

About Project:

This ambitious project focuses on unraveling the mysteries of olfactory receptors, aiming to deorphanize orphan olfactory receptors using advanced Deep Learning models. The objectives include creating the extensive EvOlf database mapping odor-receptor pairs across the animal kingdom, defining molecular clues governing olfactory receptor tuning, developing innovative visualization techniques, upgrading the Machine-Olf-Action computational workflow, and linking metabolic intermediates with tumor-associated olfactory receptors. Through Machine Learning and Deep Learning frameworks, the project seeks to understand the complex world of olfaction, including the combinatorial coding strategies and the potential involvement of olfactory receptors in pathological conditions like tumors.

IIIT Delhi

About:

Prof. Pushpendra Singh, based at Indraprastha Institute of Information Technology (IIITD), New Delhi, boasts a rich academic background with a Ph.D. completed in 2004 from Inria-Rennes, France, focusing on mobile computing. Having worked at prestigious institutions like Portsmouth University, Newcastle University, and Inria-Rocquencourt, his expertise lies in mobile systems and applications, middleware, and ICT for Development. Notably, his research has led to the establishment of startups and the development of new products, with funding from entities like DEiTY, ITRA, DST, DRDO, and CEFIPRA. His impactful work has been deployed in national projects, including contributions to NRHM and NREGS, showcasing the practical application of his research in societal welfare.

Domain: Healthcare

Project Title:

Neev: An AI-Enabled Cloud- and Smartphone-Based Learning Platform for Community Health

About Project: The project, named “Neev,” empowers Accredited Social Health Activists (ASHAs) in India by providing a comprehensive AI-enabled learning platform. This smartphone-based solution addresses the challenges of limited training and accessibility, enhancing maternal and child healthcare knowledge. Leveraging smartphones enables ASHAs and mothers to access authenticated health information, promoting informed decisions and positive outcomes in health and financial aspects. Aligned with Sustainable Development Goal 3, the initiative strengthens public healthcare in resource-constrained areas.

IIIT Delhi

About:

Dr Arjun Ray, a computational structural biologist, holds a Ph.D. from CSIR-IGIB, with a foundation in chemistry and biophysics. His academic journey reflects a keen interest in unravelling the intricacies of biological processes through three-dimensional interactions. Driven by a passion for understanding molecular mechanisms, his previous research has contributed to the development of methods in structure prediction, force-distributed analysis of lipids, and deciphering complex interactions among various biological molecules within multi-scale systems. Specializing in structure prediction, molecular dynamics simulations, and biomolecular docking, Dr. Ray’s expertise extends to diverse techniques in the realm of structural biology. Beyond his research, he has actively contributed to the International Society for Computational Biology as the former President of the Regional Student Group (India).

Domain: Healthcare

Project Title:

Assessment of drug efficacy in Indian maternity hereditary lineage: A pharmaco-genomic study

About Project:

This project addresses the significant gap in personalized medicine in India, where internationally manufactured drugs are prescribed without considering the genetic diversity of the population. Leveraging the IndiGen dataset, the study focuses on maternal and child pairs, analyzing India-specific genetic variants in kinase proteins. Through comprehensive in-silico assessments and advanced computational techniques, the project aims to decipher the efficacy of drug-protein interactions affected by genetic variations, leading to customized drug modifications and potential novel drug discoveries for personalized healthcare.

IIIT Delhi

About:

Professor Sujay Deb, an esteemed faculty member at Indraprastha Institute of Information Technology, Delhi (IIIT-D), holds positions in both Electronics & Communication Engineering and Computer Science & Engineering. He earned his Ph.D. from the School of Electrical Engineering and Computer Science at Washington State University in May 2012. He had a strong academic foundation and previously interned at Intel Labs, Hillsboro, OR. Recognized for his scholarly contributions, Professor Deb has received prestigious accolades, including the DST INSPIRE Faculty Award in 2012 and the Outstanding Ph.D. Student Award in Computer Engineering from WSU in 2011. His innovative work on affordable blood pressure measurement technologies earned him victory in the India-US Grand Challenge Initiative in 2014.

Domain: Healthcare

Project Title:

Dataset Curation of Wearable Health Monitoring Data for Indian Population

About Project:

This project fills a gap by creating a synchronized and annotated health dataset from wearable sensors for the Indian population. Providing valuable insights for researchers and stakeholders, it accelerates the development of affordable, AI-enabled healthcare solutions, fostering a healthier India through innovation and accessible healthcare.

AIIMS Delhi

About:

Dr. Koushik Sinha Deb, serving as an Additional Professor at the Department of Psychiatry, All India Institute of Medical Sciences (AIIMS), New Delhi, brings over 14 years of dedicated research and teaching experience. Specializing in Digital Psychiatry and Psychosomatic Medicine, he has spearheaded establishing eHealth and mHealth services at AIIMS. As a tech enthusiast, coder, and developer, Dr. Koushik has played a pivotal role in setting up IT services and Hospital Information systems at AIIMS Jodhpur. His extensive collaborations range from interdepartmental to inter-institutional, including projects with IIIT-Delhi and WHO consultancy for evaluating mental health systems in Maldives. Recognized for his research excellence, he has received prestigious awards, including the GC Boral Award and the Balint Award, along with securing competitive grants from DST, CSIR, DHR, and ICMR. Currently engaged in cutting-edge projects, his research focuses on leveraging LLMs and AI for predicting and preventing mental disorders, contributing significantly to the evolving landscape of mental health interventions.

Domain: Healthcare

Project Title:

Development of a Digital Mental Health Research Platform for AI Phenotyping, Deep Learning and Prediction of Mental Health Conditions in India

About Project:

The proposed research project aims to develop a National Digital Mental Health Research Platform focusing on Digital Phenotyping, Deep Learning, and Prediction of Mental Health Conditions in India. Recently, there has been a surge in mental health-related mobile apps, with over 800 available, yet significant shortcomings exist within the current digital ecosystem. This project seeks to address these challenges by creating an indigenous system for research data collection and digital phenotyping, ensuring effectiveness, reproducibility, and adherence to data safety and privacy.

AIIMS Delhi

About:

The Assistant Professor of Clinical Psychology at AIIMS, New Delhi, is a seasoned licensed Clinical Psychologist registered with the Rehabilitation Council of India (RCI). With an impressive 15-year career, she has made significant contributions at esteemed institutions like NIMHANS, AIIMS Delhi, Janakpuri Superspeciality Hospital, RML Hospital, and G B Pant Hospital. Her academic journey includes degrees from Delhi University, an M.Phil in Clinical Psychology from IHBAS, Delhi, and a PhD in Clinical Psychology specialising in alcohol and drug de-addiction from AIIMS, New Delhi. Recognized for her expertise, she has received prestigious fellowships and nominations, contributing extensively to mental health research and treatment. Engaged with international organizations, she has consulted for UNODC-ROSA, FHI-360, and the Government of Nigeria, displaying a commitment to global mental health initiatives. Active in various professional associations, she holds memberships with the Indian Association of Clinical Psychologists, the Indian Psychiatric Society, the Indian Association for Social Psychiatry, the World Association of Rehabilitation Psychiatry (Indian Chapter), the American Psychological Association, and the World Association of Personality Psychology. Recently appointed as a General Council member for the Richmond Fellowship Society (Delhi Chapter), she continues to contribute significantly to the field of clinical psychology and mental health.

Domain: Healthcare

Project Title:

Effectiveness, Efficacy, and Feasibility of a Therapist-aided App for Exposure and Response Prevention: A Parallel-group, Pilot Randomized Control Trial

About Project:

This project aims to develop and evaluate a bilingual therapist-enhanced Exposure and Response Prevention (ERP) app for Obsessive-Compulsive Disorder (OCD) patients. In Phase I, the app will be created based on insights from Focus Group Discussions (FGD) and literature review, encompassing psychoeducation, customized ERP, a chatbot, and mindfulness content. In Phase II, a Randomized Controlled Trial (RCT) will assess the app’s effectiveness and efficacy compared to standard ERP, emphasizing feasibility and acceptability among OCD patients. The goal is to provide a technologically enhanced therapeutic tool tailored to the Indian population, addressing the challenges of traditional OCD treatments.

IIIT Delhi

About:

Associate Professor Saket Anand, affiliated with Indraprastha Institute of Information Technology (IIIT), Delhi, is a distinguished scholar with a PhD in Electrical and Computer Engineering from Rutgers University in 2013. His research journey, rooted in the Robust Image Understanding Lab at Rutgers, centres around designing robust statistical methods for heavily corrupted data, 3D scene reconstruction, and semi-supervised clustering techniques. Before academia, from 2007 to 2010, he contributed as a research engineer at Read-Ink Technologies, Bangalore, focusing on developing algorithms for handwriting recognition. With a master’s research background in face and speech recognition algorithms, he brings a wealth of expertise to his role. As an IEEE member, he continues to contribute significantly to the field of information technology.

Domain: Infrastructure

Project Title:

Automated Road Inspection using Videos for e-Marg

About Project:

To develop the proof of concept (PoC) of a video-based road inspection solution, which can process a video captured by a mobile phone camera or equivalent over 1 km stretches of rural roads in India. The solution is expected to assign a score based on some of the different parameters specified in the PBMC SOP. This PoC is subject to the availability of data collected for rural road inspection under the e-Marg program, along with expert inspector input of scores.

IIT Delhi

About:

The Associate Professor and CERCA chair professor at Indian Institute of Technology, Delhi. Dr. Sri Harsha Kota completed his Bachelor of Engineering in Civil Engineering from CBIT, Osmania University, Hyderabad, India in 2007. He received his Master of Science and Doctoral degrees from Texas A&M University, College Station, USA in 2014.
He worked as an Assistant Professor in IIT Guwahati for more than three years, till he joined IIT Delhi in May 2018. He is currently an Associate Professor in the Department of Civil Engineering, IIT Delhi. His research interests include Formation, transformation and chemical mechanisms of air pollutants near sources, Development of air quality models, Source apportionment of air pollutants, Indoor air quality, Regional air quality, and Air Purification.

Domain: Environment

Project Title:

Developing Machine Learning Models for Air Quality Forecasting and decision support in non-attainment cities of India

About Project:

The main deliverables are:
1) ML based air quality models which can forecast air quality in 102 non-attainment
Indian cities.
2) Novel ML-based air quality models fine-tuned using ground-based observations (in
India) to capture local variations in pollutant concentrations for micro level planning.
3) An interactive decision support system to aid local regulators in those cities

IIT Palakkad

About:

The Assistant Professor of Indian Institute of Technology Palakkad Project Director TIH-ICS. He is interested in the design, analysis and implementation of many aspects of robotics systems – electronics, mechanical, optics, imaging, mathematical modelling and control, and shaping them towards products or open-source knowledge sharing. His academics Journey includes PhD in Robotic Control, Electrical Engineering, IIT Madras and Postdoc, Onboard Space Systems, LTU, Sweden, Aug 2015 – Aug 2016

Domain:

Cognitive Computing & Social Sensing

Project Title:

Automated focusing algorithms for fluorescence/brightfield slide imaging microscope

About the Project: 

The number of pathologists available in the country is insufficient to cater to the slide-level diagnosis of several medical tests (biopsy, pap smear, sputum, FISH, etc.). The unavailability of pathologists in tier-2,3 cities and rural areas can be augmented by automated slide scanners. Technicians can scan and upload the images to the cloud, and pathologists can remotely look at the images and provide the diagnosis. This avoids unnecessary travel and improves accessibility to healthcare. The outcome is a holistic medical device that can be used across several medical tests.