Two-Day National Seminar On Sustainable Healthcare Using Computational Drug Discovery and Internet of Medical things (CDDIoMT-2026)
The ANRP Act, 2023, assented to by the President on 12
August 2023, establishes the Anusandhan National Research Foundation (ANRF) as the apex national institution for providing strategic direction to research, innovation, and entrepreneurship in India.
The PAIR programme is designed to achieve a strong
research culture across Indian universities through a
structured mentorship-based model that pairs high-potential institutions with leading research-intensive institutions.
PAIR supports internationally competitive and high-impact
research, and advances institutions through improved
research quality, and systematic infusion of best practices.
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- Co-sponsored by IIIT Bhubaneswar
- Starts 15 March 2026 06:30 PM UTC
- Ends 18 March 2026 06:25 PM UTC
- No Admission Charge
Speakers
Dr. Akhilesh Mishra of NIT Rourkela
Integrating Experimental and Computer-Aided Approaches in Drug Discovery: Proteomics to Computational Insights
Drug discovery has evolved into a multidisciplinary endeavor that integrates experimental biology with computational sciences. Proteomics, the large-scale study of proteins and their interactions, provides critical insights into disease mechanisms and potential therapeutic targets. However, the complexity of biological systems demands complementary computational approaches to analyze, predict, and optimize drug candidates. This talk explores the synergy between experimental proteomics and computer-aided methods, highlighting how advanced algorithms, molecular modeling, and machine learning accelerate the identification of druggable proteins and streamline lead optimization. By bridging laboratory data with computational insights, researchers can reduce experimental costs, enhance reproducibility, and uncover hidden biological patterns. The integration of these approaches not only strengthens translational research but also paves the way for precision medicine, where therapies are tailored to individual molecular profiles. Ultimately, combining proteomics with computational strategies represents a powerful paradigm for advancing drug discovery in the 21st century.
Biography:
Dr. Akhilesh Mishra is an Assistant Professor in the Department of Life Science at the National Institute of Technology (NIT) Rourkela, where he leads the Computational Oncology Lab. He earned his Ph.D. in Bioinformatics from IIT Delhi, focusing on DNA biophysics and structural genomics, and pursued postdoctoral research at UT Southwestern Medical Center and St. Jude Children’s Research Hospital. His expertise lies in systems biology, computational modeling, and multi-omics integration, with a strong emphasis on cancer biology and precision medicine. Dr. Mishra’s research explores gene regulatory networks, antimicrobial resistance, and kidney cancer biology, while also advancing computational frameworks for bulk, single-cell, and spatial omics data. During the COVID-19 pandemic, he played a pivotal role in developing India’s most affordable diagnostic kit, which was widely deployed across the country. At NIT Rourkela, he continues to pioneer interdisciplinary approaches that combine biology and computation to accelerate drug discovery and translational research.
Address:Assistant Professor, , NIT ROURKELA, ROURKELA, Orissa, India
Dr. Salma Jamal of VCATR, Lucknow
From Sequence to Drug: A Computational Pipeline for Modern Drug Discovery
Modern drug discovery increasingly relies on computational pipelines that transform raw biological sequences into viable therapeutic candidates. Beginning with genomic or proteomic data, sequence analysis enables the identification of potential drug targets and the mapping of molecular interactions. Computational approaches such as molecular docking, machine learning, and network modeling then streamline the design and optimization of lead compounds. This talk presents a comprehensive pipeline that integrates sequence analysis, structural prediction, and in silico screening to accelerate drug development. By reducing reliance on costly and time‑consuming experimental trials, computational workflows enhance efficiency, reproducibility, and scalability. Moreover, the pipeline supports precision medicine by tailoring drug discovery to individual molecular profiles. From sequence to drug, this approach exemplifies how computational biology bridges fundamental research and translational applications, offering a powerful paradigm for advancing therapeutic innovation in the era of big data and personalized healthcare.
Biography:
Dr. Salma Jamal is a seasoned bioinformatician currently affiliated with the Centre for Advanced Training and Research (CATR), Lucknow. She holds a Ph.D. in Bioinformatics from Jawaharlal Nehru University and Banasthali Vidyapith, where she was a gold medalist in her M.Sc. program. With over a decade of experience, Dr. Jamal has specialized in computational drug discovery, next-generation sequencing (NGS) data analysis, and machine learning applications in biomedical research. Her work focuses on integrating artificial intelligence with bioinformatics to accelerate target identification and therapeutic development. She has contributed significantly to the understanding of gene regulatory networks, antimicrobial resistance, and cancer biology, publishing widely in peer-reviewed journals. Beyond research, Dr. Jamal is also recognized as a scientific writer and editor, adept at translating complex biological data into actionable insights. At CATR, she continues to advance computational pipelines that bridge academia and industry, fostering innovation in modern drug discovery.
Address:Bioinfomatician, CATR, Lucknow, Uttar Pradesh, India
Dr. Manabhanjan Pradhan of CAMS
Network Mapping and Traffic Analysis for IoMT Systems using Wireshark and Nmap
The Internet of Medical Things (IoMT) is revolutionizing healthcare by connecting medical devices, sensors, and applications into intelligent networks. However, this rapid expansion introduces significant challenges in network security, traffic management, and data integrity. This talk focuses on the use of Wireshark and Nmap—two powerful open‑source tools—for mapping IoMT networks and analyzing traffic patterns. Wireshark enables deep packet inspection, allowing researchers to monitor communication flows, detect anomalies, and ensure compliance with security protocols. Nmap complements this by providing robust network scanning capabilities to identify active devices, open ports, and potential vulnerabilities. Together, these tools form a practical pipeline for securing IoMT infrastructures, enhancing visibility, and mitigating risks in real‑time. By integrating network mapping with traffic analysis, the session demonstrates how healthcare systems can achieve greater resilience, safeguard patient data, and support the safe deployment of connected medical technologies.
Biography:
Dr. Manabhanjan Pradhan is a Research Scientist at the Centre for Advanced Medical Systems (CAMS), specializing in network security, IoMT infrastructures, and applied computational tools. He holds a Ph.D. in Computer Science with a focus on cybersecurity and distributed systems. Over the past decade, Dr. Pradhan has contributed to multiple projects involving secure communication frameworks for healthcare technologies, smart medical devices, and real‑time monitoring systems. His expertise lies in leveraging open‑source tools such as Wireshark and Nmap to design scalable solutions for network mapping, vulnerability detection, and traffic optimization. He has published extensively in peer‑reviewed journals and presented at international conferences on IoT security and medical informatics. At CAMS, Dr. Pradhan leads initiatives that integrate network analysis with healthcare innovation, ensuring that IoMT systems remain secure, efficient, and patient‑centric. His work bridges theory and practice, empowering healthcare institutions to adopt connected technologies with confidence.
Address:Centre for Advanced Medical Systems (CAMS), , India
Dr. Akash Poudel of ICICI, Vadodara, Gujarat
Cybersecurity of the Internet of Medical Things (IoMT)
The Internet of Medical Things (IoMT) connects medical devices, sensors, and healthcare applications into intelligent networks that enhance patient care and clinical efficiency. However, this interconnected ecosystem also introduces significant cybersecurity challenges, including data breaches, unauthorized access, and vulnerabilities in device communication. This talk explores the critical aspects of securing IoMT systems, focusing on risk assessment, threat modeling, and the application of modern security frameworks. By examining real‑world attack vectors and mitigation strategies, the session highlights how encryption, authentication, and network monitoring can safeguard sensitive patient data. Special emphasis is placed on balancing usability with robust security, ensuring that medical devices remain accessible while resilient against cyber threats. Ultimately, the discussion underscores the importance of proactive cybersecurity measures in protecting IoMT infrastructures, enabling healthcare providers to adopt connected technologies with confidence and ensuring patient safety in the digital era.
Biography:
Dr. Akash Poudel is a Security Engineer at ICICI, specializing in cybersecurity solutions for critical infrastructures and emerging technologies. He holds a Ph.D. in Computer Science with a focus on network security and cryptography, and has extensive experience in designing secure frameworks for financial and healthcare systems. At ICICI, Dr. Poudel leads initiatives that integrate advanced security protocols into digital platforms, ensuring resilience against evolving cyber threats. His research interests include IoMT security, blockchain applications in healthcare, and AI‑driven intrusion detection systems. He has published widely in peer‑reviewed journals and presented at international conferences on cybersecurity and medical informatics. Known for his practical expertise, Dr. Poudel has contributed to projects that safeguard sensitive patient data and strengthen compliance with global security standards. His work bridges academic research and industry practice, empowering organizations to adopt connected medical technologies securely and responsibly.
Address:Security Engineer at ICICI, , vadodara, Gujarat, India, 390007