Rishabh Rathore | Quantitative Risk Assessment in Food Supply Chains | Best Researcher Award

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Dr. Rishabh Rathore | Quantitative Risk Assessment in Food Supply Chains | Best Researcher Award

NICMAR University of Construction Studies, Hyderabad, India

Dr. Rishabh Rathore is an accomplished academic and researcher specializing in Industrial and Systems Engineering, with expertise in modeling, simulation, and multi-criteria decision-making techniques. He has extensive teaching experience at undergraduate and postgraduate levels and has contributed to high-impact international journals and conferences on foodgrains supply chain risk management. His research has been supported by prestigious grants, and he actively participates in professional societies and academic conferences. Dr. Rathore’s work emphasizes system safety, optimization, and applied operations research, advancing knowledge in supply chain and operational analytics.

Citation Metrics (Google Scholar)

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Citations
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Featured Publications


A quantitative risk assessment methodology and evaluation of food supply chain


– The International Journal of Logistics Management · 101 Citations · 2017


Evaluation of risks in foodgrains supply chain using failure mode effect analysis and fuzzy VIKOR


– International Journal of Quality & Reliability Management · 64 Citations · 2020


Impact of risks in foodgrains transportation system: a system dynamics approach


– International Journal of Production Research · 49 Citations · 2020


A weighted fuzzy Petri-net analysis for Indian foodgrains supply chain


– International Journal of Productivity and Performance Management · 1 Citation · 2024

Subham Preetam | Nano-robots | Editorial Board Member

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Mr. Subham Preetam | Nano-robots | Editorial Board Member

Monash University | India

Mr. Subham Preetam is a distinguished Transfusion Medicine specialist recognized for impactful clinical research, academic contributions, and leadership in advancing evidence-based transfusion practices. With an h-index of 17, a research portfolio of 40 documents, and 1,102 citations across 904 citing documents, Mr. Preetam has established a strong scientific footprint in areas such as apheresis, patient blood management, therapeutic plasma exchange, leukocytapheresis, immunohematology, and transfusion safety. His academic journey includes an MBBS, an MD in Transfusion Medicine, and advanced clinical training through a PDCC in Apheresis and Blood Component Therapy. Professionally, he has served as Senior Resident and faculty in leading national medical institutes, contributing significantly to service development, SOP formulation, staff training, and quality systems in transfusion services. His research interests span clinical apheresis, hemovigilance, transfusion reactions, donor health, PBM strategies, and improving transfusion outcomes. Mr. Preetam has earned recognition through prestigious national awards and has contributed to international working groups, editorial activities, invited sessions, and collaborative projects that strengthen global transfusion medicine practices. His continued dedication reflects a commitment to improving clinical standards, fostering academic excellence, and promoting innovation in transfusion medicine for enhanced patient care.

Profiles: Scopus | Orcid

Featured Publications

Preetam, S., Lata, S., Aditi, Bora, J., Thapliyal, S., Mehta, S., Ramniwas, S., Deshwal, R., Rustagi, S., Talukdar, N., et al. (2025). Exosome-driven biohybrid nanorobots: Bridging nature and nanotechnology in biomedical innovation. RSC Advances. https://doi.org/10.1039/D5RA05296C

Dhasmana, A., Santhanam, A., Dhasmana, K., Malik, S., & Preetam, S. (2025). Innovative smart biosensors for cancer theranostics: A new frontier in detection, diagnosis, and beyond. Cancer Treatment and Research Communications. https://doi.org/10.1016/j.ctarc.2025.100911

Dhasmana, A., Dobhal, P., Sati, A., Santhanam, A., Preetam, S., Malik, S., Joshi, N., Rustagi, S., & Deshwal, R. K. (2025). Synthesis of fungal polysaccharide-based nanoemulsions for cancer treatment. RSC Advances. https://doi.org/10.1039/D5RA01349F

Bhattacharya, T., Das, T., Preetam, S., & Chopra, H. (2025). Cutting-edge developments in agro-waste derived carbon nanomaterials and their multifaceted applications in agriculture: Enhancing crop imaging, nutrient efficiency, and plant health. Zeitschrift für Naturforschung C. https://doi.org/10.1515/znc-2024-0205

Preetam, S., Mishra, R., Thapliyal, S., Rustagi, S., Deshwal, R. K., Ramniwas, S., Dhasmana, A., Rajab, B. S., Alghamdi, S., & Malik, S. (2025). Bioactive coatings for cardiovascular stents: Modulating immune response for enhanced performance. ACS Biomaterials Science & Engineering. https://doi.org/10.1021/acsbiomaterials.5c01166

Sajja Tulasi Krishna | Computer Science | Research Excellence Award

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Dr. Sajja Tulasi Krishna | Computer Science | Research Excellence Award

Koneru Lakshmaiah Education Foundation | India

Dr. Sajja Tulasi Krishna is a distinguished researcher and academician in Computer Science and Engineering, currently serving as an Assistant Professor at Koneru Lakshmaiah Education Foundation. She has extensive teaching experience in areas including CI/CD, Cloud DevOps, Python Full Stack Development, MERN Stack Web Development, Deep Learning, and Data Structures. Dr. Krishna earned her Ph.D. in Computer Science and Engineering and holds advanced degrees in M.Tech and B.Tech, reflecting a strong academic foundation. Her research focuses on deep learning, machine learning, biomedical image processing, and intelligent systems, with contributions in multi-omics integration, lung cancer detection, COVID-19 diagnosis, and medicinal plant classification. She has published 18 research articles in SCIE, Scopus, and IEEE journals, achieving a total of 488 citations with an h-index of 5 and an i10-index of 5. Dr. Krishna has presented her work at multiple national and international conferences, serving as a reviewer for reputed journals and conferences. She has received multiple awards recognizing her excellence in teaching, research, and technical contributions, including Best Teacher, International Excellence, and Young Researcher Awards. With her expertise, she continues to advance innovative research while mentoring students and contributing to the academic community globally.

Profiles: Google Scholar | Scopus | Orcid

Featured Publications

Krishna, S. T., & Kalluri, H. K. (2019). Deep learning and transfer learning approaches for image classification. International Journal of Recent Technology and Engineering (IJRTE), 7(5S4), 427–432.

Sajja, T. K., Devarapalli, R. M., & Kalluri, H. K. (2019). Lung cancer detection based on CT scan images by using deep transfer learning. Traitement du Signal, 36(4), 339–344.

Sajja, T. K., & Kalluri, H. K. (2020). A deep learning method for prediction of cardiovascular disease using convolutional neural network. Revue d’Intelligence Artificielle, 34(5), 601–606.

Sajja, T. K., & Kalluri, H. K. (2021). Image classification using regularized convolutional neural network design with dimensionality reduction modules: RCNN–DRM. Journal of Ambient Intelligence and Humanized Computing, 12(10), 9423–9434.

Sajja, T. K., & Kalluri, H. K. (2019). Gender classification based on face images of local binary pattern using support vector machine and back propagation neural networks. Advances in Modelling and Analysis B, 62(1), 31–35.

Dolly Jamwal | Behavioural Economics | Research Excellence Award

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Mrs. Dolly Jamwal | Behavioural Economics | Research Excellence Award

Dayalbagh Educational Institute | India

Dolly Jamwal is a multidisciplinary researcher in behavioural economics, psychology, sustainability studies, and consciousness research, with scholarly contributions reflected in 3 citations, an h-index of 1, and multiple peer-reviewed documents indexed in SCOPUS. With advanced academic training in Economics (Multidisciplinary Research), Clinical Psychology, and English Literature, she integrates behavioural insights, emotional intelligence theory, and sustainable consumption behaviour into her research. Her work spans mixed-methods research, computational social science, structural equation modelling, psychometric scale development, and policy-oriented behavioural interventions. She has developed original tools such as the Practical Consciousness Scale, Total Consciousness Equation, Economic Identity Scale, and Sustainable Consumption Behaviour Scale. Her published studies explore socio-economic and psychological well-being, SDG awareness, behavioural nudges, ethical frameworks, and consciousness-based behavioural transformation. She has presented at national and international conferences on behavioural interventions, wellbeing dynamics, sustainable development behaviours, and mindfulness-oriented models. Her professional experience includes research, academic mentorship, qualitative and quantitative analysis, and involvement in social-impact initiatives. Recognised for innovative policy suggestions and academic excellence, her interests include behavioural design, emotional economics, sustainability transitions, and value-driven decision-making. Her work advances interdisciplinary research aimed at fostering positive behavioural change, ethical economic thinking, and sustainable societal development.

Profile: Google Scholar

Featured Publications

Satsangi, R., Jamwal, D., Sharma, S., Manani, P., & Satsangi, D. (2024). Socio-Economic and Psychological Well-Being: An Analytical Study for Sustainable Policy-Making. International Journal of Sustainable Development and Planning, 19(1), 179–185.

Jamwal, D., & Satsangi, R. (2025). Nudge/behavioural-based interventions for reducing polythene bag usage: A case study. Acta Psychologica, 258, 105163.

Sharma, S., Manani, P., Thakwani, M., Satsangi, R., Sharma, P., & Jamwal, D. (2024). Level of awareness on the sustainable development goals among Indian youth: Empirical evidence from Northern India. Edelweiss Applied Science and Technology, 8(4), 2356–2368.

Anupam Kanti Bag | Pharmacology | Best Researcher Award

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Dr. Anupam Kanti Bag | Pharmacology | Best Researcher Award

Dr. B.C. Roy College of Pharmacy and Allied Health Sciences |India

Dr. Anupam Kanti Bag is an accomplished pharmacology professional with strong academic and research credentials, reflected through 142 citations, an h-index of 3, and 3 i10-index publications, demonstrating consistent scholarly impact. His expertise spans microscopy, molecular biology, behavioral analysis, molecular docking, and network pharmacology, supported by extensive laboratory experience and a solid background in pharmaceutical sciences. He has significantly contributed to innovation through multiple national and international patents in drug formulation, medical device design, and pharmacokinetic enhancement, along with authoring books and contributing chapters in emerging areas of neurodegenerative disease research. His funded research work includes projects focusing on phytochemical formulations and nano-based therapeutic applications. Dr. Bag has served in various academic, administrative, and accreditation roles, including NAAC/NBA coordination, placement operations, exam cell management, and institutional leadership responsibilities across reputed pharmacy colleges. His technical skills extend to tools such as Pyrex, Pymol, Chimera, and Biovia Studio, combined with proficiency in cell culture handling, gene assays, ADR reporting, and laboratory instrumentation. Recognized with awards for academic excellence, mentoring, and scientific presentations, he continues to contribute to the advancement of pharmacology research with dedication to innovation, collaboration, and student development.

Profile: Google Scholar

Featured Publications

Bag, A. K., & Mumtaz, S. M. F. (2013). Hepatoprotective and nephroprotective activity of hydroalcoholic extract of Ipomoea staphylina leaves. Bangladesh Journal of Pharmacology, 8(3), 263–268.

Subramaniyan, V., Shaik, S., Bag, A., Manavalan, G., & Chandiran, S. (2018). Potential action of Rumex vesicarius (L.) against potassium dichromate and gentamicin-induced nephrotoxicity in experimental rats. Pakistan Journal of Pharmaceutical Sciences, 31(2), 509–516.

Mumtaz, S. M. F., Paul, S., & Bag, A. K. (2013). Effect of Sechium edule on chemical-induced kidney damage in experimental animals. Bangladesh Journal of Pharmacology, 8(1), 28–35.

Bag, A. K., & Hiremath, S. R. R. (2023). Neuropathic pain and its management. Indian Journal of Pharmacy Practice, 16(3).

Verma, P., Munirangappa, H., Bag, A. K., & Purushottam, H. (2023). Amelioration of hyperglycemia by hydroalcoholic extract of leaves of Ecbolium viride against experimental type II model in rats.

Uma V | Materials Science | Women Researcher Award

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Dr. Uma V | Materials Science | Women Researcher Award

Government Thirumagal Mill’s College | India

Dr. V. Uma is a dedicated physics educator and researcher specializing in advanced functional materials, particularly multiferroic nanomaterials and thin-film systems. She serves as a Guest Lecturer in the Department of Physics at Government Thirumagal Mills College, where she has handled extensive teaching responsibilities across UG and PG programs, guided numerous student projects, and delivered lectures in areas such as material science, microprocessors, electronics, nuclear physics, and numerical methods. Her academic background includes a Ph.D. in Physics focused on the synthesis and characterization of bismuth iron oxide nanomaterials, supported by an M.Phil. in Physical Sciences, M.Sc. in Physics, and a B.Ed. in Physical Science, along with qualification in the State Eligibility Test. Her research expertise covers nanomaterial synthesis using sol-gel, hydrothermal, microwave combustion, and thin-film deposition techniques, along with characterization skills in XRD, FTIR, UV, VSM, SEM, dielectric studies, and electrochemical analysis. She has published impactful research contributions with a citation count of 8, two indexed documents, and an h-index of 2, demonstrating emerging recognition within the scientific community. She has actively participated and presented in several national and international conferences in materials science. Her work reflects strong commitment toward innovative research, quality teaching, and the advancement of materials science applications.

Profile: Scopus

Featured Publications

Uma, V., & Seenuvasakumaran, P. (2023). Synthesis, structural, microstructural, optical, magnetic and dielectric properties of Nd-doped multiferroic Bismuth iron oxide. Results in Materials. https://doi.org/10.1016/j.rinma.2022.100359

Ankush Kumar | Medicinal Chemistry | Young Researcher Award

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Mr. Ankush Kumar | Medicinal Chemistry | Young Researcher Award

Chitkara University Punjab | India

Ankush Kumar is a dedicated pharmaceutical researcher whose work spans medicinal chemistry, molecular modeling, and targeted drug design with a strong focus on anticancer therapeutics. He holds a solid academic foundation with qualifications in pharmaceutical chemistry and extensive research training that includes computational drug design, structure-activity exploration, and medicinal insights into heterocyclic scaffolds. His professional experience includes serving as a Junior Research Fellow and working as an Assistant Professor across multiple academic institutions, where he contributed to teaching, mentoring, and research development. His research outputs reflect a strong contribution to oncology-oriented drug discovery, with publications covering molecular targets, biomarkers, EGFR inhibition, heterocyclic synthesis, and computational repurposing studies. He has authored numerous research papers in reputed journals, contributing to a total of 561 citations, supported by an h-index of 6 and i10-index of 4, demonstrating the growing influence of his scientific contributions. His work includes book chapters and multiple peer-reviewed articles that highlight new therapeutic strategies and structural insights into various biological targets. He has received academic distinctions such as top positions in academic competitions and has served as a reviewer for international journals, further reflecting his scholarly engagement. Overall, his research trajectory reflects a commitment to advancing pharmaceutical innovation and precision-driven drug discovery.

Profile: Google Scholar

Featured Publications

Ye, F., Dewanjee, S., Li, Y., Jha, N. K., Chen, Z. S., Kumar, A., Vishakha, Jha, S. K., et al. (2023). Advancements in clinical aspects of targeted therapy and immunotherapy in breast cancer. Molecular Cancer, 22(1), 105.

Kumar, A., Sehgal, A., Singh, S., Sharma, N., Yadav, S., Rashid, S., Ali, N., et al. (2023). Understanding the mechanistic pathways and clinical aspects associated with protein and gene based biomarkers in breast cancer. International Journal of Biological Macromolecules, Article 126595.

Zheng, M., Kumar, A., Sharma, V., Sehgal, A., Wal, P., Shinde, N. V., Kawaduji, B. S., et al. (2024). Revolutionizing pediatric neuroblastoma treatment: unraveling new molecular targets for precision interventions. Frontiers in Cell and Developmental Biology, 12, Article 1353860.

Kumar, A., Kumar, B., & Bhatia, R. (2023). Design, synthesis, molecular docking, and biological evaluation of isatin-based fused heterocycles as epidermal growth factor receptor inhibitors. Assay and Drug Development Technologies, 21(5), 222–233.

Kumar, A., Narang, R. K., & Bhatia, R. (2023). Recent advancements in NS5B inhibitors (2011–2021): Structural insights, SAR studies and clinical status. Journal of Molecular Structure, 1293, Article 136272.

Krishna Pada Das | Biomathematics | Best Researcher Award

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Assoc. Prof. Dr. Krishna Pada Das | Biomathematics | Best Researcher Award

Mahadevananda Mahavidyalaya | India

Dr. Krishna Pada Das is an Associate Professor of Mathematics whose research primarily focuses on mathematical biology, especially population dynamics and eco-epidemiological systems. His work explores how infectious diseases interact with ecological food webs, including predator-prey and plankton systems, and how factors such as alternative food, nutrient levels, environmental toxins, diffusion, seasonal effects, and harvesting influence system stability or generate complex behaviors like chaos and oscillation. He employs mathematical modeling through differential equations (ODE, DDE, stochastic systems), fractional calculus, spatio-temporal dynamics, and computational simulation using MATLAB, MAPLE, and MATHEMATICA to analyze stability, bifurcation, and long-term behavior of biological systems. His research has contributed to understanding control strategies for harmful algal blooms, disease propagation in ecosystems, phytoplankton-zooplankton interactions, and tri-trophic food chain dynamics. In recent work, he has also examined epidemic models including COVID-19 and HIV transmission, applying sensitivity analysis, parameter estimation, and optimal control strategies. With an extensive list of research publications in international journals and collaborative studies, his contributions support improved ecological system management, disease control measures, and deeper theoretical insights into nonlinear biological dynamics.

Profile: Google Scholar

Featured Publications

Das, K., & Mukherjee, A. K. (2007). Differential utilization of pyrene as the sole source of carbon by Bacillus subtilis and Pseudomonas aeruginosa strains: Role of biosurfactants in enhancing availability. Journal of Applied Microbiology, 102(1), 195–203.

Dutta, S. K., Das, K., Ghosh, B., & Blackman, C. F. (1992). Dose dependence of acetylcholinesterase activity in neuroblastoma cells exposed to modulated radio-frequency electromagnetic radiation. Bioelectromagnetics, 13(4), 317–322.

Soni, B. K., Das, K., & Ghose, T. K. (1982). Bioconversion of agro-wastes into acetone butanol. Biotechnology Letters, 4(1), 19–22.

Kooi, B. W., van Voorn, G. A. K., & Das, K. P. (2011). Stabilization and complex dynamics in a predator–prey model with predator suffering from an infectious disease. Ecological Complexity, 8(1), 113–122.

Das, C. R., Mondal, N. K., Aditya, P., Datta, J. K., Banerjee, A., & Das, K. (2012). Allelopathic potentialities of leachates of leaf litter of some selected tree species on gram seeds under laboratory conditions. Asian Journal of Experimental Biological Sciences, 3(1), 59–65.

Major Singh Goraya | Computer Science | Best Researcher Award

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Prof. Major Singh Goraya | Computer Science | Best Researcher Award

Sant Longowal Institute of Engineering and Technology | India

Dr. Major Singh Goraya is a Professor in the Department of Computer Science and Engineering at Sant Longowal Institute of Engineering and Technology (SLIET), Longowal. He holds a Ph.D. from Punjabi University, complemented by strong academic foundations in computer engineering. His primary research areas include cloud computing, resource management, green computing, fault tolerance, and load balancing. With 27 Scopus-indexed publications, 460 citations across 399 documents, and an h-index of 10, Dr. Goraya has made consistent scholarly contributions to high-performance and sustainable computing. His studies have explored dynamic resource allocation, energy-efficient scheduling frameworks, and deep learning-based optimization techniques. He has supervised several Ph.D. and M.Tech. research scholars and continues to guide emerging researchers in cloud resource efficiency and intelligent computation. His international exposure through conferences in the UK, Canada, and Malaysia reflects his active engagement in global research forums. In addition, he has successfully organized numerous academic workshops, conferences, and training programs. Dr. Goraya’s innovative contributions strengthen the integration of artificial intelligence and cloud technology, promoting scalable and eco-efficient computational solutions that advance modern computer engineering research.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Goyal, N., Singh, T., & Goraya, M. S. (2025). Deep convolutional neural networks vs. vision transformers for video-based human activity recognition. In Proceedings of Lecture Notes in Computer Science (pp. xx–xx). Springer.

Singh, J., & Goraya, M. S. (2023). An autonomous multi-agent framework using quality of service to prevent service level agreement violations in cloud environment. International Journal of Advanced Computer Science and Applications, 14(3).

Goyal, N., Goraya, M. S., & Singh, T. (2023). An axiomatic analysis for object detection and recognition using deep learning. In Smart Innovation, Systems and Technologies (pp. xx–xx). Springer.

Thakur, A., & Goraya, M. S. (2022). A workload and machine categorization-based resource allocation framework for load balancing and balanced resource utilization in the cloud. International Journal of Grid and High Performance Computing, 14(2).

Hasan, M., Goraya, M. S., & Garg, T. (2022). E-FFTF: An extended framework for flexible fault tolerance in cloud. In Lecture Notes in Networks and Systems (pp. xx–xx). Springer.

Manisha| Business | Pioneer Researcher Award

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Dr. Manisha | Business | Pioneer Researcher Award

Symbiosis International University | India

Dr. Manisha is a dedicated researcher and educator specializing in Marketing Management, Digital Marketing, Consumer Behavior, and Tourism Marketing. Her research primarily explores travel podcasts as contemporary digital tourism tools, examining how storytelling, user-generated content, and media psychology influence consumer behavior and behavioral intentions. She employs a combination of quantitative and qualitative methods, statistical modeling, and mixed-method research to provide actionable insights for innovative marketing strategies. Dr. Manisha has published in reputed journals, contributed to international conferences, and actively engages in research projects related to regenerative tourism, digital experiential marketing, and brand management. Her academic background includes a Ph.D. in Marketing Management, an MBA in Travel and Tourism, and a B.Tech in Electronics and Communication. She has held positions as Assistant Professor and Vocational Trainer and has coordinated academic and research initiatives, including conference sessions and inter-college events. Recognized for her academic and leadership achievements, she has received awards and distinction during her studies. With an h-index of 1, total citations of 1, and an i10-index of 0, Dr. Manisha continues to expand her research contributions, combining innovative approaches and technological advancements in tourism marketing to influence scholarly and practical domains.

Profiles: Google Scholar| Scopus

Featured Publications

Manisha, M., & Datta, B. (2025). Travel podcast listening: Antecedents and segmentation. Tourism Management Perspectives, 55, 101333.

Manisha, M., & Datta, B. (2024). Travel podcasts: A regenerative tourism marketing tool. In Proceedings of the Australian & New Zealand Marketing Academy (ANZMAC) (pp. 758–761).

Manisha, M. (2024). Innovative frontiers: Exploring factors influencing travel podcast consumption in the Web 4.0 era. European Conference on Innovation and Entrepreneurship, 19(1), 917–927.