Xu, H. G., Kynoch, K., Tuckett, A., & Eley, R. (2020). Effectiveness of interventions to reduce emergency department staff occupational stress and/or burnout: a systematic review. JBI evidence synthesis, 18(6), 1156-1188.
Kelly, L. (2020). Burnout, compassion fatigue, and secondary trauma in nurses: Recognizing the occupational phenomenon and personal consequences of caregiving. Critical Care Nursing Quarterly, 43(1), 73-80.
Al-Worafi, Y. M. (2023). Burnout Among Healthcare Professionals in Developing Countries. Handbook of Medical and Health Sciences in Developing Countries: Education, Practice, and Research, 1-29.
Bridgeman, P. J., Bridgeman, M. B., & Barone, J. (2018). Burnout syndrome among healthcare professionals. The Bulletin of the American Society of Hospital Pharmacists, 75(3), 147-152.
Sharifi, M., Asadi-Pooya, A. A., & Mousavi-Roknabadi, R. S. (2021). Burnout among healthcare providers of COVID-19; a systematic review of epidemiology and recommendations. Archives of academic emergency medicine, 9(1).
Shanafelt, T., et al. (2021). Resilience and Burnout in Healthcare Professionals. Mayo Clinic Proceedings.
Stanford Medicine. (2021). Wearable Technology for Stress Monitoring and Intervention.
Harvard Business Review. (2022). AI-Powered Assistants and Workflow Optimization.
WHO. (2022). Addressing Burnout During Health Emergencies. World Health Organization.
Johns Hopkins Public Health. (2020). The Impact of Nutrition on Stress Management.
University of California, Berkeley. (2023). Mindfulness-Based Practices for Reducing Burnout.
Heath, C., Sommerfield, A., & von Ungern‐Sternberg, B. S. (2020). Resilience strategies to manage psychological distress among healthcare workers during the COVID‐19 pandemic: a narrative review. Anaesthesia, 75(10), 1364-1371.
Unobe, E. C. (2022). Justice mirage? Sierra Leone’s truth and reconciliation commission and local women’s experiences. Peace and Conflict: Journal of Peace Psychology, 28(4), 429.
Unobe, E. C. (2012). How the Health Conditions of Pastoralists are Shaped by the Discourse of Development as it is Operationalized with the Context of the Nation State (Doctoral dissertation, Clark University).
Shrivastava, P., Mathew, E. B., Yadav, A., Bezbaruah, P. P., & Borah, M. D. (2014). Smoke Alarm-Analyzer and Site Evacuation System (SAANS). 2014 Texas Instruments India Educators' Conference (TIIEC), 144–150.
Shrivastava, P., Mathew, E. B., Yadav, A., Bezbaruah, P. P., & Borah, M. D. (2014, April). Smoke Alarm-Analyzer and Site Evacuation System (SAANS). In 2014 Texas Instruments India Educators' Conference (TIIEC) (pp. 144-150). IEEE.
Shrivastava, P., Mathew, E. B., Yadav, A., Bezbaruah, P. P., & Borah, M. D. (2014). Smoke Alarm-Analyzer and Site Evacuation System.
Wu, Y. (2023). Integrating generative AI in education: how ChatGPT brings challenges for future learning and teaching. Journal of Advanced Research in Education, 2(4), 6-10.
Wu, Y. (2024). Critical Thinking Pedagogics Design in an Era of ChatGPT and Other AI Tools—Shifting From Teaching “What” to Teaching “Why” and “How”. Journal of Education and Development, 8(1), 1.
Wu, Y. (2024). Revolutionizing Learning and Teaching: Crafting Personalized, Culturally Responsive Curriculum in the AI Era. Creative Education, 15(8), 1642-1651.
Wu, Y. (2024). Is early childhood education prepared for artificial intelligence?: A global and us policy framework literature review. Open Journal of Social Sciences, 12(8), 127-143.
Wu, Y. (2024). Facial Recognition Technology: College Students’ Perspectives in China. Journal of Research in Social Science and Humanities, 3(1), 53-79.
El-sisi, A. B., Shohdy, S. M., & Ismail, N. (2009). Reconfigurable implementation of Karatsuba multiplier for Galois field in elliptic curves. In Novel Algorithms and Techniques in Telecommunications and Networking (pp. 87-92). Dordrecht: Springer Netherlands.
Shohdy, S. M., El-Sisi, A. B., & Ismail, N. (2009). FPGA Implementation of Elliptic Curve Point Multiplication over GF (2 191). In Advances in Information Security and Assurance: Third International Conference and Workshops, ISA 2009, Seoul, Korea, June 25-27, 2009. Proceedings 3 (pp. 619-634). Springer Berlin Heidelberg.
Manoharan, A., & Nagar, G. MAXIMIZING LEARNING TRAJECTORIES: AN INVESTIGATION INTO AI-DRIVEN NATURAL LANGUAGE PROCESSING INTEGRATION IN ONLINE EDUCATIONAL PLATFORMS.
Kumar, S., Menezes, A., Giri, S., & Kotikela, S. What The Phish! Effects of AI on Phishing Attacks and Defense. In Proceedings of the International Conference on AI Research. Academic Conferences and publishing limited.
Ferdinand, J. (2024). Marine Medical Response: Exploring the Training, Role and Scope of Paramedics.
Nagar, G. (2018). Leveraging Artificial Intelligence to Automate and Enhance Security Operations: Balancing Efficiency and Human Oversight. Valley International Journal Digital Library, 78-94.
Kumar, S., & Nagar, G. (2024, June). Threat Modeling for Cyber Warfare Against Less Cyber-Dependent Adversaries. In European Conference on Cyber Warfare and Security (Vol. 23, No. 1, pp. 257-264).
Arefin, S., & Simcox, M. (2024). AI-Driven Solutions for Safeguarding Healthcare Data: Innovations in Cybersecurity. International Business Research, 17(6), 1-74.
Nagar, G. (2024). The evolution of ransomware: tactics, techniques, and mitigation strategies. International Journal of Scientific Research and Management (IJSRM), 12(06), 1282-1298.
Ferdinand, J. (2023). The Key to Academic Equity: A Detailed Review of EdChat’s Strategies.
Manoharan, A. UNDERSTANDING THE THREAT LANDSCAPE: A COMPREHENSIVE ANALYSIS OF CYBER-SECURITY RISKS IN 2024.
Nagar, G., & Manoharan, A. (2022). THE RISE OF QUANTUM CRYPTOGRAPHY: SECURING DATA BEYOND CLASSICAL MEANS. 04. 6329-6336. 10.56726. IRJMETS24238.
Ferdinand, J. (2023). Marine Medical Response: Exploring the Training, Role and Scope of Paramedics and Paramedicine (ETRSp). Qeios.
Nagar, G., & Manoharan, A. (2022). ZERO TRUST ARCHITECTURE: REDEFINING SECURITY PARADIGMS IN THE DIGITAL AGE. International Research Journal of Modernization in Engineering Technology and Science, 4, 2686-2693.
Ferdinand, J. (2023). Emergence of Dive Paramedics: Advancing Prehospital Care Beyond DMTs.
Krishnan, S., Abbasi, F., Jayapal, P., & Selvarajan, D. (2025). A Rare Case of Endotracheal Metastases in Head and Neck Squamous Cell Carcinoma: A Case Report and Literature Review. Cureus, 17(1).
Nagar, G., & Manoharan, A. (2022). THE RISE OF QUANTUM CRYPTOGRAPHY: SECURING DATA BEYOND CLASSICAL MEANS. 04. 6329-6336. 10.56726. IRJMETS24238.
Kumar, S., & Nagar, G. (2024, June). Threat Modeling for Cyber Warfare Against Less Cyber-Dependent Adversaries. In European Conference on Cyber Warfare and Security (Vol. 23, No. 1, pp. 257-264).
Krishnan, S., Heisick, J., & Johnson, M. (2024). High-Grade Serous Ovarian Carcinoma Presenting With Massive Pleural Effusion in the Absence of Ascites: A Case Report and Review of the Literature. Cureus, 16(12), e76303.
Krishnan, S., Shah, K., Dhillon, G., & Presberg, K. (2016). 1995: FATAL PURPURA FULMINANS AND FULMINANT PSEUDOMONAL SEPSIS. Critical Care Medicine, 44(12), 574.
Krishnan, S. K., Shah, K., & Dhillon, G. (2016). Smoking-Related Interstitial Lung Disease in a Non-Smoker. Chest, 150(4), 490A.
Krishnan, S., & Selvarajan, D. (2014). D104 CASE REPORTS: INTERSTITIAL LUNG DISEASE AND PLEURAL DISEASE: Stones Everywhere!. American Journal of Respiratory and Critical Care Medicine, 189, 1.
Alawad, A., Abdeen, M. M., Fadul, K. Y., Elgassim, M. A., Ahmed, S., & Elgassim, M. (2024). A Case of Necrotizing Pneumonia Complicated by Hydropneumothorax. Cureus, 16(4).
Nagar, G., & Manoharan, A. (2022). Blockchain technology: reinventing trust and security in the digital world. International Research Journal of Modernization in Engineering Technology and Science, 4(5), 6337-6344.
Kumar, S., Loo, L., & Kocian, L. (2024, October). Blockchain Applications in Cyber Liability Insurance. In 2nd International Conference on Blockchain, Cybersecurity and Internet of Things, BCYIoT.
Elgassim, M., Abdelrahman, A., Saied, A. S. S., Ahmed, A. T., Osman, M., Hussain, M., ... & Salem, W. (2022). Salbutamol-Induced QT Interval Prolongation in a Two-Year-Old Patient. Cureus, 14(2).
Krishnan, S. K., Parikh, M., & Ganipisetti, V. K. (2013, June). LUNG MASS AND PLEURAL EFFUSION-PLANNING FOR A BIOPSY? LET US TEST THE URINE BEFORE THAT!. In JOURNAL OF GENERAL INTERNAL MEDICINE (Vol. 28, pp. S354-S354). 233 SPRING ST, NEW YORK, NY 10013 USA: SPRINGER.
Elgassim, M. A. M., Saied, A. S. S., Mustafa, M. A., Abdelrahman, A., AlJaufi, I., & Salem, W. (2022). A Rare Case of Metronidazole Overdose Causing Ventricular Fibrillation. Cureus, 14(5).
Krishnan, S. K., Khaira, H., & Ganipisetti, V. M. (2014, April). Cannabinoid hyperemesis syndrome-truly an oxymoron!. In JOURNAL OF GENERAL INTERNAL MEDICINE (Vol. 29, pp. S328-S328). 233 SPRING ST, NEW YORK, NY 10013 USA: SPRINGER.
Elgassim, M. A. M., Sanosi, A., & Elgassim, M. A. (2021). Transient Left Bundle Branch Block in the Setting of Cardiogenic Pulmonary Edema. Cureus, 13(11).
Al-Otaibi, F., & Aldaihani, H. M. (2018). Influence of Bitumen Addition on Sabkha Soil Shear Strength Characteristics Under Dry and Soaked Conditions. American Journal of Engineering and Applied Sciences, 11(4).
Aldaihani, H. M., Al-Otaibi, F. A., & Alrukaibi, D. S. (2020). Investigation of Permeability Behavior of Wet Oil Lake Contaminated Sandy Soil at Al-Ahmadi Field in Kuwait. GEOMATE Journal, 19(73), 141-147.
Al-otaibi, F. A., & Aldaihani, H. M. (2021). Determination of the collapse potential of sabkha soil and dune sand arid surface soil deposits in Kuwait. Jurnal Teknologi, 83(3), 93-100.
Ramadugu, R., & Doddipatla, L. (2022). The Role of AI and Machine Learning in Strengthening Digital Wallet Security Against Fraud. Journal of Big Data and Smart Systems, 3(1).
Doddipatla, L., Ramadugu, R., Yerram, R. R., & Sharma, T. (2021). Exploring The Role of Biometric Authentication in Modern Payment Solutions. International Journal of Digital Innovation, 2(1).
Dash, S. (2024). Leveraging Machine Learning Algorithms in Enterprise CRM Architectures for Personalized Marketing Automation. Journal of Artificial Intelligence Research, 4(1), 482-518.
Raghuweanshi, P. (2024). DEEP LEARNING MODEL FOR DETECTING TERROR FINANCING PATTERNS IN FINANCIAL TRANSACTIONS. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 3(3), 288-296.
Dash, S. (2023). Designing Modular Enterprise Software Architectures for AI-Driven Sales Pipeline Optimization. Journal of Artificial Intelligence Research, 3(2), 292-334.
Raghuwanshi, P. (2024). AI-Driven Identity and Financial Fraud Detection for National Security. Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023, 7(01), 38-51.
Raghuwanshi, P. (2024). Integrating generative ai into iot-based cloud computing: Opportunities and challenges in the united states. Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023, 5(1), 451-460.
Barach, J. (2024, December). Enhancing Intrusion Detection with CNN Attention Using NSL-KDD Dataset. In 2024 Artificial Intelligence for Business (AIxB) (pp. 15-20). IEEE.
Manish, S., & Ishan, D. (2024). A Multi-Faceted Approach to Measuring Engineering Productivity. International Journal of Trend in Scientific Research and Development, 8(5), 516-521.
Barach, J. (2025, January). Towards Zero Trust Security in SDN: A Multi-Layered Defense Strategy. In Proceedings of the 26th International Conference on Distributed Computing and Networking (pp. 331-339).
Ramadugu, R., & Doddipatla, L. (2022). Emerging Trends in Fintech: How Technology Is Reshaping the Global Financial Landscape. Journal of Computational Innovation, 2(1).
Barach, J. (2025). Integrating AI and HR Strategies in IT Engineering Projects: A Blueprint for Agile Success. Emerging Engineering and Mathematics, 1-13.
Dash, S. (2024). Frameworks for Embedding Deep Learning Models in Enterprise Applications for Predictive Marketing Analytics. Journal of Artificial Intelligence Research, 4(2), 149-190.
Raghuwanshi, P. (2016). Verification of Verilog model of neural networks using System Verilog.
Dash, S. (2024). Developing Scalable Enterprise Architectures for Artificial Intelligence Integration in Omni-Channel Sales Strategies. Journal of Artificial Intelligence Research, 4(2), 112-148.
Sanwal, M. (2024). Evaluating Large Language Models Using Contrast Sets: An Experimental Approach. arXiv preprint arXiv:2404.01569.
Manish, S. (2024). An Autonomous Multi-Agent LLM Framework for Agile Software Development. International Journal of Trend in Scientific Research and Development, 8(5), 892-898.
Dash, S. (2023). Architecting Intelligent Sales and Marketing Platforms: The Role of Enterprise Data Integration and AI for Enhanced Customer Insights. Journal of Artificial Intelligence Research, 3(2), 253-291.
Al-Ajmai, F. F., Al-Otaibi, F. A., & Aldaihani, H. M. (2018). Effect of Type of Ground Cover on the Ground Cooling Potential for Buildings in Extreme Desert Climate. Jordan Journal of Civil Engineering, 12(3).
Zhou, J., Lin, Z., Zheng, Y., Li, J., & Yang, Z. (2022). Not all tasks are born equal: Understanding zero-shot generalization. In The Eleventh International Conference on Learning Representations.
Shaik, M. Advanced Neural Networks for Multilingual Customer Service. IJLRP-International Journal of Leading Research Publication, 5(10).
Rahaman, S. U., Badugula, N. M., Wang, T. W., & Somarajan, N. C. (2018). The current development of technology model in e-commerce and suggestion for future research. MWAIS 2018 Proceedings, 27.
Joshi, D., Sayed, F., Saraf, A., Sutaria, A., & Karamchandani, S. (2021). Elements of Nature Optimized into Smart Energy Grids using Machine Learning. Design Engineering, 1886-1892.
Shaik, M. AI-Driven Revenue Management Using Lang Chain Models in Hospitality. IJLRP-International Journal of Leading Research Publication, 5(3).
Khambati, A. (2021). Innovative Smart Water Management System Using Artificial Intelligence. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(3), 4726-4734.
Shofolawe-Bakare, O., Toragall, V. B., Hulugalla, K., Mayatt, R., Iammarino, P., Bentley, J. P., ... & Werfel, T. (2024). Glycopolymeric Nanoparticles Block Breast Cancer Growth by Inhibiting Efferocytosis in the Tumor Microenvironment. ACS Applied Nano Materials, 7(24), 28851-28863.
Khambaty, A., Joshi, D., Sayed, F., Pinto, K., & Karamchandani, S. (2022, January). Delve into the Realms with 3D Forms: Visualization System Aid Design in an IOT-Driven World. In Proceedings of International Conference on Wireless Communication: ICWiCom 2021 (pp. 335-343). Singapore: Springer Nature Singapore.
Shaik, M. Robot Manager: AI-Powered Oversight of Digital Workers in Hospitality. IJLRP-International Journal of Leading Research Publication, 5(7).
Joshi, D., Parikh, A., Mangla, R., Sayed, F., & Karamchandani, S. H. (2021). AI Based Nose for Trace of Churn in Assessment of Captive Customers. Turkish Online Journal of Qualitative Inquiry, 12(6).
Kumar, S., Ur Rahaman, S., & Puchakayala, P. R. A. (2022). Leveraging AI for Advanced Marketing Mix Modeling: A Data-Driven Approach. J Artif Intell Mach Learn & Data Sci 2022, 1(1), 1363-1367.
JOSHI, D., SAYED, F., BERI, J., & PAL, R. (2021). An efficient supervised machine learning model approach for forecasting of renewable energy to tackle climate change. Int J Comp Sci Eng Inform Technol Res, 11, 25-32.
Xu, H., Lin, Z., Zhou, J., Zheng, Y., & Yang, Z. (2022). A universal discriminator for zero-shot generalization. arXiv preprint arXiv:2211.08099.
Rahaman, S. U. Ethical AI in Data Science: Balancing Innovation and Responsibility in the Digital Age. IJLRP-International Journal of Leading Research Publication, 5(9).
Nishat, A. (2024). Enhancing CI/CD Pipelines and Container Security Through Machine Learning and Advanced Automation.
Hulugalla, K., Shofolawe-Bakare, O., Toragall, V. B., Mohammad, S. A., Mayatt, R., Hand, K., ... & Werfel, T. (2024). Glycopolymeric Nanoparticles Enrich Less Immunogenic Protein Coronas, Reduce Mononuclear Phagocyte Clearance, and Improve Tumor Delivery Compared to PEGylated Nanoparticles. ACS nano, 18(44), 30540-30560.
Rahaman, S. U. Real-Time Customer Journey Mapping: Combining AI and Big Data for Precision Marketing. IJLRP-International Journal of Leading Research Publication, 5(7).
Nishat, A. (2024). Enhancing CI/CD Pipelines and Container Security Through Machine Learning and Advanced Automation.
Lin, Z., Lyu, S., Cao, H., Xu, F., Wei, Y., Samet, H., & Li, Y. (2020). Healthwalks: Sensing fine-grained individual health condition via mobility data. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(4), 1-26.
Rahaman, S. U. The Rise of Explainable AI in Data Analytics: Making Complex Models Transparent for Business Insights.
Joshi, D., Sayed, F., Jain, H., Beri, J., Bandi, Y., & Karamchandani, S. A Cloud Native Machine Learning based Approach for Detection and Impact of Cyclone and Hurricanes on Coastal Areas of Pacific and Atlantic Ocean.
Hulugalla, K. R. (2024). Glycopolymeric Nanoparticles Enrich Less Immunogenic Protein Corona and Improve Tumor Delivery Compared to Pegylated Nanoparticles.
Rahaman, S. U. The Rise of Explainable AI in Data Analytics: Making Complex Models Transparent for Business Insights.
Joshi, D., Sayed, F., & Beri, J. Bengaluru House Pricing Model Based On Machine-Learning.
Xu, F., Lin, Z., Xia, T., Guo, D., & Li, Y. (2020). Sume: Semantic-enhanced urban mobility network embedding for user demographic inference. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(3), 1-25.
Rahaman, S. U. Real-Time Campaign Optimization: Using Analytics to Adapt Marketing Strategies on the Fly.
Hulugalla, K., Ranasinghe, P., Williams, G. R., Nalin de Silva, K. M., & de Silva, R. M. (2023). Role of Nanotechnology in Diagnosing, Safeguarding, and Treating COVID-19. Sultan Qaboos University Journal for Science, 28(1).
Rahaman, S. U., Abdul, M. J., & Patchipulusu, S. (2023). AI-DRIVEN EMPATHY IN UX DESIGN: ENHANCING PERSONALIZATION AND USER EXPERIENCE THROUGH PREDICTIVE ANALYTICS. Technology (IJCET), 14(2), 255-268.
Lin, Z., Zhang, G., He, Z., Feng, J., Wu, W., & Li, Y. (2021, November). Vehicle trajectory recovery on road network based on traffic camera video data. In Proceedings of the 29th International Conference on Advances in Geographic Information Systems (pp. 389-398).
Puchakayala, P. R. A., Kumar, S., & Rahaman, S. U. (2023). An Explainable AI Model in Fintech Risk Management in Small and Medium Companies. European Journal of Advances in Engineering and Technology, 10(4), 86-96.
Gupta, K. K., Awasthi, P., Shaik, M., & Kaveri, P. R. (2024, December). Framework-Agnostic JavaScript Component Libraries: Benefits, Implementation Strategies, and Commercialization Models. In 2024 IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN) (pp. 1441-1446). IEEE.
Ryan, H. K., De Silva, N., De Silva, R., & Godakanda, U. (2022). Preparation and characterization of amoxicillin loaded nanocapsules as a mucoadhesive, controlled release formulation for the treatment of peptic ulcers. American Chemical Society SciMeetings, 3(1).
Puchakayala, P. R. A., Kumar, S., & Rahaman, S. U. (2023). Explainable AI and Interpretable Machine Learning in Financial Industry Banking. European Journal of Advances in Engineering and Technology, 10(3), 82-92.
Kokku, R., & Rahaman, S. U. Cloud Native Devops Solutions For Data Science On AWS, GCP, And Azure.
Rahaman, S. U., Abdul, M. J., & Patchipulusu, S. (2021). EXPLORING (TECHNOLOGY ACCEPTANCE MODEL) TAM IN MOBILE BANKING: A QUALITATIVE ANALYSIS USING THE TECHNOLOGY ACCEPTANCE MODEL. International Journal of Management (IJM), 12(8).
Toragall, V., Hale, E. J., Hulugalla, K. R., & Werfel, T. A. (2023). Microscopy and Plate Reader–based Methods for Monitoring the Interaction of Platelets and Tumor Cells in vitro. Bio-protocol, 13, 20.
Rahaman, S. U. Beyond the Data Lake: Harnessing Real-Time Analytics and Automation for Dynamic Decision-Making.