Amir Hamzeh Haghiabi | Water Engineering | Best Researcher Award

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Prof. Dr. Amir Hamzeh Haghiabi | Water Engineering | Best Researcher Award

Academic Member | Lorestan University | Iran

Prof. Dr. Amir Hamzeh Haghiabi is a distinguished scholar in the field of water engineering, with extensive expertise in hydraulic structures, experimental hydraulics, river hydrodynamics, and flood engineering. His research primarily focuses on understanding and modeling the behavior of water flows, sediment transport, and density currents, aiming to develop efficient hydraulic systems and sustainable water management solutions. As a highly accomplished academic, he has contributed significantly to advancing knowledge in hydraulic and environmental engineering through numerous publications, research collaborations, and leadership roles in academia. His work has been recognized internationally, earning him repeated inclusion among the top two percent of scientists worldwide in global citation databases compiled by Elsevier and Stanford University. In addition to his research achievements, he serves on the editorial board of the Journal of Flow Measurement and Instrumentation and has received multiple honors for excellence in research and innovation. Prof. Hamzeh Haghiabi is renowned for his contributions to experimental and theoretical studies in water structure dynamics and for bridging scientific research with practical applications in water resource management and flood control. His professional career reflects a strong commitment to advancing hydraulic science and fostering collaboration between academia and industry to address pressing environmental and engineering challenges.

Profiles: Scopus | Google Scholar

Featured Publications

Haghiabi, A. H., Nasrolahi, A. H., & Parsaie, A. (2018). Water quality prediction using machine learning methods. Water Quality Research Journal, 53(1), 3–13.

Haghizadeh, A., Siahkamari, S., Haghiabi, A. H., & Rahmati, O. (2017). Forecasting flood-prone areas using Shannon’s entropy model. Journal of Earth System Science, 126(3), 39.

Azamathulla, H. M., Haghiabi, A. H., & Parsaie, A. (2016). Prediction of side weir discharge coefficient by support vector machine technique. Water Science and Technology: Water Supply, 16(4), 1002–1016.

Haghiabi, A. H., Parsaie, A., & Ememgholizadeh, S. (2018). Prediction of discharge coefficient of triangular labyrinth weirs using adaptive neuro fuzzy inference system. Alexandria Engineering Journal, 57(3), 1773–1782.

Parsaie, A., & Haghiabi, A. H. (2017). Computational modeling of pollution transmission in rivers. Applied Water Science, 7(3), 1213–1222.

Walaa Badawy | Psychology | Best Researcher Award

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Assist. Prof. Dr. Walaa Badawy | Psychology | Best Researcher Award

Mounfia | King Khalid | Saudi Arabia

Assist. Prof. Dr. Walaa Badawy is an accomplished Associate Professor of Psychology at King Khalid University and the Faculty of Arts at Menoufia University, Egypt, specializing in clinical psychology and psychotherapy. Her research focuses on cognitive-behavioral therapy, addiction psychology, emotional regulation, epilepsy-related psychological disorders, and mental health promotion among vulnerable populations. She has published extensively in leading international journals, contributing to areas such as resilience, artificial intelligence in healthcare, educational psychology, and geriatric mental health. Dr. Badawy’s scholarly work integrates psychological science with applied clinical practice, emphasizing evidence-based interventions to improve well-being and quality of life. She has supervised postgraduate students, served as an international peer reviewer for high-impact journals including Scientific Reports, BMC Health Services Research, and Anxiety and Depression, and is listed in the AD Scientific Index for her academic influence. Beyond research, she has delivered numerous training workshops on psychotherapy, mental health awareness, and academic counseling, reflecting her commitment to professional development and community service. Her professional memberships span global organizations such as the Society of Addiction Psychology, the International Society of Substance Use Prevention and Treatment Professionals, the Saudi Psychological Association, the American Society of Addiction Medicine, and the Egyptian Association of Psychologists. Through her multidisciplinary expertise, leadership roles in academic committees, and active engagement in conferences and community initiatives, Dr. Badawy continues to advance the field of clinical and applied psychology, fostering psychological resilience, ethical practice, and evidence-based therapeutic innovation.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Badawy, W., & Shaban, M. (2025). Exploring geriatric nurses’ perspectives on the adoption of AI in elderly care: A qualitative study. Geriatric Nursing, 41–49.

Badawy, W., Helal, M. M. I., Hashim, A., Zinhom, H., & Shaban, M. (2025). Ethical boundaries and data‐sharing practices in AI‐enhanced nursing: An Arab perspective. International Nursing Review, 72(1), e70013.

Badawy, W., & Shaban, M. (2025). Intergenerational relationships and their impact on social resilience amongst Arab society elderly populations: A qualitative exploration. Journal of Clinical Nursing.

Badawy, W., Shaban, M., Elsayed, H. H., & Hashim, A. (2025). Eco-conscious nursing: Qualitative analysis of nurses’ engagement with environmental sustainability in healthcare. Teaching and Learning in Nursing, 20(2), 137–147.

Badawy, W., & Shaban, M. (2025). Educational interventions to enhance empathy in undergraduate nursing students: An integrative review. Teaching and Learning in Nursing.

Maria Perez Montalban | Physiotherapy | Best Researcher Award

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Dr. Maria Perez Montalban | Physiotherapy | Best Researcher Award 

University of Sevilla | Spain

Dr. Maria Perez Montalban is an emerging researcher and physiotherapist whose scientific contributions reflect a deep commitment to advancing evidence based practice in health sciences. With a background in physiotherapy and a strong focus on pain research, she has developed expertise in sports and manipulative physiotherapy, as well as in the study of visceral referred pain, which forms the core of her current research. Her work bridges the gap between clinical practice and scientific inquiry, emphasizing the physiological and therapeutic mechanisms underlying pain perception and management. She has conducted multiple scientific studies, several of which have been published in high impact international journals, contributing valuable insights into pain modulation and therapeutic interventions. In addition to her published research, she has contributed to book chapters that explore innovative approaches to physiotherapy and rehabilitation. Collaborating with leading scholars such as Rafael Guzman Garcia and Angel Oliva Pascual Vaca, she actively engages in interdisciplinary research aimed at improving patient outcomes and promoting scientific advancement in physiotherapy. Her academic trajectory demonstrates a strong dedication to the integration of research and clinical practice, with the goal of fostering a deeper understanding of pain mechanisms and enhancing treatment strategies. Dr. Perez Montalban’s scholarly pursuits exemplify a forward-looking vision centered on scientific rigor, collaboration, and the dissemination of knowledge within the global physiotherapy and health sciences community.

Profiles: Scopus | Orcid

Featured Publications

Perez Montalban, M., Sanchez-Alcala, D., Garcia Dominguez, E., Mata-Perdigon, F. J., & Oliva-Pascual Vaca, A. (2025). Effectiveness of noninvasive phrenic nerve neuromodulation in subjects with inflammatory bowel disease and neck pain: A randomized clinical trial. Neuromodulation: Technology at the Neural Interface. Advance online publication.

Guzman-Garcia, R., Perez-Montalban, M., Pruimboom, L., & Navarro-Ledesma, S. (2025). Impact of a multimodal intervention combining manual therapy, exercise, reduced methylxanthine intake, and nocturnal light avoidance on inflammatory and metabolic profiles, pain, functionality, and sleep quality in patients with frozen shoulder: A single-blind randomized controlled trial. Journal of Clinical Medicine, 14(13), 4539.

Perez Montalban, M., Garia Dominguez, E., & Oliva Pascual Vaca, A. (2024). Subdiaphragmatic phrenic nerve supply: A systematic review. Annals of Anatomy Anatomischer Anzeiger, 252, 152269.

Oliva-Pascual-Vaca, A., Castillo-Canuelo, M. J., Oliva-Pascual-Vaca, J., Perez Montalban, M., Ordonez, F. J., & Martinez-Fernandez, J. A. (2022). A systematic review on spinal asymmetries in case studies of unilateral nephroptosis from a viscerosomatic point of view. Healthcare, 10(12), 2422.

Perez Montalban, M., Pérez-Montalbán, M., & Ibanez-Vera, A. J. (2022). Efectos de la fisioterapia en sujetos con síndrome de colon irritable: Una revision sistematica. Fisioterapia, 44(2), 87–95.

Jibin Joy Daniel | Orthodontics | Best Researcher Award | 7867

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Dr. Jibin Joy Daniel | Orthodontics | Best Researcher Award

Assistant Professor | Pushpagiri College of Dental Sciences Thiruvalla Pathanamthitta | India

Dr. Jibin Joy Daniel is an accomplished academic and clinician specializing in Orthodontics and Dentofacial Orthopedics. He serves as an Assistant Professor at Pushpagiri College of Dental Sciences, contributing to both undergraduate and postgraduate orthodontic education. His research expertise spans craniofacial growth, clear aligner therapy, orthodontic biomechanics, esthetics, and genetic influences on malocclusion. He has published extensively in leading national and international dental journals, authoring numerous review and research articles on topics such as open bite management, orthodontic complications, smile esthetics, friction mechanics, and gene polymorphisms related to skeletal discrepancies. His innovative contributions include studies on patient perception, compliance, and awareness of orthodontic treatment, particularly in the central Travancore population. He has been recognized with several academic distinctions, including research grants and international awards for his scientific contributions. As a fellow of prestigious organizations such as the Pierre Fauchard Academy and the Academy of General Education, he actively engages in advancing orthodontic knowledge through conference presentations, invited talks, and professional collaborations. His scholarly work demonstrates a commitment to integrating clinical excellence with scientific research, fostering innovation in orthodontic diagnosis and treatment planning, and improving patient-centered care in dental practice.

Profile: Google Scholar

Featured Publications

Daniel, J. J., & Kumar, A. (2024). Smile esthetics in orthodontics: Review of literature. Journal of Dentistry, 14, 701.

Daniel, J. J., Nizar, A., & Kumar, A. H. (2023). Transverse and sagittal arch development using Transforce appliance: A case report. Saudi Journal of Oral and Dental Research, 8, 59–64.

Geojan, D. G., & Daniel, J. J. (2025). Patient compliance with removable myofunctional appliance wear in central Travancore population: A questionnaire-based study. International Journal of Advanced Research, 11(2), 168–170.

Amir, S., John, J., Thomas, N. O., Abraham, N., Cherian, R. A., & Daniel, J. J. (n.d.). Different orthodontic treatment modalities on airway: A review.

Daniel, J. J., Nizar, A., Shetty, K. N., & Kumar, A. (2022). Use of a posterior bite block modified with TPA and palatal crib for treating open bite in growing individual: A case report. Austin Journal of Dentistry, 9(2), 1169.

Rajesh Pandiyan | Environmental Science | Best Researcher Award

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Assoc. Prof. Dr. Rajesh Pandiyan | Environmental Science | Best Researcher Award

Associate Professor | Bharath Institute of Higher Education and Research | India

Assoc. Prof. Dr. Rajesh Pandiyan is an accomplished researcher and academic currently serving as an Associate Professor at the Centre for Research, Bharath Institute of Higher Education and Research, Bharath University, Chennai, India. His research expertise lies at the intersection of materials science, biotechnology, and pharmaceutical technology, with a particular focus on wastewater treatment, nanocomposite membrane development, tissue engineering, and drug discovery. His scientific contributions span from the synthesis of advanced polymer-based nanocomposites for environmental remediation to the design of biomaterials for tissue regeneration and therapeutic applications in autoimmune diseases such as arthritis. Dr. Pandiyan’s interdisciplinary research integrates biochemistry, microbiology, and nanotechnology to address critical challenges in sustainable environmental systems and biomedical innovation. His work in developing targeted drug delivery systems and magnetic nanocomposites demonstrates a commitment to advancing translational research for human health improvement. He has been recognized with multiple awards for excellence in teaching, research, and scientific communication, and frequently serves as a resource person, external judge, and invited speaker at national and international academic events. Dr. Pandiyan also contributes to the scientific community through editorial roles in reputable journals and active involvement in global collaborative research initiatives, reflecting his leadership in fostering innovation at the interface of materials engineering and biomedical sciences.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Pandiyan, R., Mahalingam, S., & Ahn, Y.-H. (2019). Antibacterial and photocatalytic activity of hydrothermally synthesized SnO₂ doped GO and CNT under visible light irradiation. Journal of Photochemistry and Photobiology B: Biology, 191, 18–25.

Ayyaru, S., Pandiyan, R., & Ahn, Y.-H. (2019). Fabrication and characterization of anti-fouling and non-toxic polyvinylidene fluoride–sulphonated carbon nanotube ultrafiltration membranes for membrane bioreactors applications. Chemical Engineering Research and Design, 143, 240–251.

Krishnan, N., Velramar, B., Pandiyan, R., & Velu, R. K. (2018). Anti-pseudomonal and anti-endotoxic effects of surfactin-stabilized biogenic silver nanocubes ameliorated wound repair in streptozotocin-induced diabetic mice. Artificial Cells, Nanomedicine and Biotechnology, 46(S3), S513–S523.

Krishnan, N., Velramar, B., Ramatchandirin, B., Abraham, G. C., Duraisamy, N., Pandiyan, R., & Velu, R. K. (2018). Effect of biogenic silver nanocubes on matrix metalloproteinases 2 and 9 expressions in hyperglycemic skin injury and its impact in early wound healing in streptozotocin-induced diabetic mice. Materials Science and Engineering: C, 90, 451–465.

Pandiyan, R., Ayyaru, S., & Ahn, Y.-H. (2018). Non-toxic properties of TiO₂ and STiO₂ nanocomposite PES ultrafiltration membranes for application in membrane-based environmental biotechnology. Ecotoxicology and Environmental Safety, 161, 755–764.

Sara A. Shehab | Artificial Intelligence | Best Researcher Award

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Assoc. Prof. Dr. Sara A. Shehab | Artificial Intelligence | Best Researcher Award

Faculty Of Computer And Artificial Intelligence | Egypt

Assoc. Prof. Dr. Sara A. Shehab  is an Associate Professor in Computer Science at the University of Sadat City, Egypt, with expertise spanning artificial intelligence, bioinformatics, computational biology, quantum computing, and computer security. Her research focuses on developing intelligent algorithms for biological data analysis, optimization, and machine learning applications in medicine and environmental sustainability. She has contributed significantly to the advancement of multiple sequence alignment techniques, parallel and dynamic algorithms, and predictive modeling using machine learning. Her recent work explores deep learning for biomedical image analysis, explainable AI for green energy production, and hybrid optimization approaches for precision classification and prediction tasks. Dr. Shehab has published extensively in peer-reviewed international journals and conferences, collaborating with leading scholars in AI-driven bioinformatics and sustainable computing. She also serves as a reviewer for international journals and conferences, contributing to the academic community through quality evaluation and mentorship. Her professional experience includes leadership in e-learning, digital transformation, and program coordination within higher education, reflecting a strong integration of research, teaching, and institutional development. Through her interdisciplinary approach, she bridges artificial intelligence with biological and environmental sciences, fostering innovation in intelligent systems for healthcare, sustainability, and data-driven decision-making.

Profile: Google Scholar

Featured Publications

Shehab, S. A., Keshk, A., & Mahgoub, H. (2012). Fast dynamic algorithm for sequence alignment based on bioinformatics. International Journal of Computer Applications, 37(7), 54–61.

Ahmed, R. A. E. H., Shehab, S. A., Elzeki, O. M., & Darwish, A. (2024). An explainable AI for green hydrogen production: A deep learning regression model. International Journal of Hydrogen Energy, 83, 1226–1242.

Shehab, A. E. H. S., Mohammed, K. K., & Darwish, A. (2024). Deep learning and feature fusion-based lung sound recognition model to diagnose respiratory diseases. Soft Computing.

Shehab, A. E. H. S., & Darwish, A. (2023). Water quality classification model with small features and class imbalance based on fuzzy rough sets. Environment, Development and Sustainability.

Shehab, S., Shohdy, S., & Keshk, A. E. (2017). PoMSA: An efficient and precise position-based multiple sequence alignment technique. arXiv preprint arXiv:1708.01508.

Manuel Ruiz Bailen | Cardiac Critical Care | Lifetime Achievement Award

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Assist. Prof. Dr. Manuel Ruiz Bailen | Cardiac Critical Care | Lifetime Achievement Award

Jefe De Seccion | Hospital De Jaen | Spain

Assist. Prof. Dr. Manuel Ruiz Bailen is a distinguished medical professional and academic recognized for his extensive contributions to the field of Intensive Care Medicine and cardiovascular research. As Head of the Intensive Care Section and Associate Professor of Medicine, his work bridges clinical practice, education, and advanced research. His pioneering leadership in the use of echocardiography in critical care has transformed it from an underutilized diagnostic tool into an essential component of acute medical practice across Spain, Latin America, and Europe. He has trained hundreds of medical residents and specialists, fostering a new generation of experts in cardiovascular diagnostics. His research spans acute myocardial infarction, cardiomyopathies, cardiac arrest, and mechanical ventilation, with special emphasis on myocardial dysfunction and right ventricular performance in critical patients. He has authored over two hundred peer-reviewed articles, numerous book chapters, and several textbooks that serve as key references in clinical echocardiography and critical care. As principal investigator and collaborator in national and European research projects, he has led innovative studies in cardiology, respiratory distress, and infectious diseases, earning multiple awards for scientific excellence. He has also directed numerous doctoral theses and served as a reviewer and evaluator for health research agencies. Beyond his scientific impact, his mentorship and dedication to clinical innovation have significantly influenced contemporary practices in intensive care medicine, solidifying his reputation as a leader in translational cardiovascular research and medical education.

Profiles: Scopus | Google Scholar

Featured Publications

Romero-Bermejo, F. J., Ruiz-Bailén, M., Gil-Cebrián, J., & others. (2011). Sepsis-induced cardiomyopathy. Current Cardiology Reviews, 7(3), 163–183.

Ruiz-Bailén, M., de Hoyos, E. A., Ruiz-Navarro, S., Díaz-Castellanos, M. Á., & others. (2005). Reversible myocardial dysfunction after cardiopulmonary resuscitation. Resuscitation, 66(2), 175–181.*

Ruiz-Bailén, M., Cuadra, J. Á. R., & de Hoyos, E. A. (2001). Thrombolysis during cardiopulmonary resuscitation in fulminant pulmonary embolism: A review. Critical Care Medicine, 29(11), 2211–2219.*

Mata, G. V., Fernández, R. R., Aragón, A. P., Carmona, A. G., Mondejar, E. F., & others. (1996). Analysis of quality of life in polytraumatized patients two years after discharge from an intensive care unit. Journal of Trauma and Acute Care Surgery, 41(2), 326–332.*

Rivera-Fernandez, R., Vazquez-Mata, G., Bravo, M., Aguayo-Hoyos, E., & others. (1998). The Apache III prognostic system: Customized mortality predictions for Spanish ICU patients. Intensive Care Medicine, 24(6), 574–581.

Abrar Alanzi | Pediatric Dentistry | Best Researcher Award

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Assoc. Prof. Dr. Abrar Alanzi | Pediatric Dentistry | Best Researcher Award

Associate Professor | Kuwait University | Kuwait

Assoc. Prof. Dr. Abrar Alanzi is an Associate Professor and Consultant Pediatric Dentist at Kuwait University’s College of Dentistry. Her research and professional expertise center on pediatric oral health, preventive dentistry, and behavioral aspects influencing children’s dental outcomes. She has made significant scholarly contributions through studies on oral health-related quality of life, dental caries, molar-incisor hypomineralization, and the impact of lifestyle factors such as media use and nutrition on pediatric oral health. Her publications appear in leading international journals, reflecting a strong focus on evidence-based approaches to improving oral health in children. Beyond research, Dr. Alanzi has extensive teaching and mentorship experience, guiding undergraduate and postgraduate dental students in clinical and didactic courses. She has also contributed to academic leadership as Acting Chair of the Department of Developmental and Preventive Sciences and Director of the Community Service Unit, promoting oral health education and outreach programs in schools and underserved communities. Her dedication extends to global humanitarian efforts, leading pediatric dental missions across Africa and Asia to provide free dental care for children in need. Dr. Alanzi’s work integrates research, education, and community engagement, positioning her as a recognized figure in pediatric dentistry with a commitment to advancing oral health standards both locally and internationally.

Profiles: Scopus | Google Scholar

Featured Publications

Alanzi, A., Honkala, S., Honkala, E., Varghese, A., Tolvanen, M., & Söderling, E. (2018). Effect of Lactobacillus rhamnosus and Bifidobacterium lactis on gingival health, dental plaque, and periodontopathogens in adolescents: A randomized placebo-controlled clinical trial. Beneficial Microbes, 9(4), 593–602.

Alanzi, A., Faridoun, A., Kavvadia, K., & Ghanim, A. (2018). Dentists’ perception, knowledge, and clinical management of molar–incisor hypomineralisation in Kuwait: A cross-sectional study. BMC Oral Health, 18(1), 34.

Alanzi, A., Husain, F., Husain, H., Hanif, A., & Baskaradoss, J. K. (2023). Does the severity of untreated dental caries of preschool children influence the oral health-related quality of life? BMC Oral Health, 23(1), 552.

Alanzi, A., Minah, G., Romberg, E., Catalanotto, F., Bartoshuk, L., & Tinanoff, N. (2013). Mothers’ taste perceptions and their preschool children’s dental caries experiences. Pediatric Dentistry, 35(7), 510–514.

Alanzi, A., Söderling, E., Varghese, A., & Honkala, E. (2016). Xylitol chewing gums on the market: Do they prevent caries? Oral Health & Preventive Dentistry, 14(5), 459–466.

Benitha Christinal J | Computer Science | Women Researcher Award

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Mrs. Benitha Christinal J | Computer Science | Women Researcher Award

Assistant Professor | Presidency University | India

Mrs. Benitha Christinal J is an accomplished academic and researcher specializing in Computer Science and Engineering with a strong focus on Artificial Intelligence, Deep Learning, and Internet of Things (IoT). She has extensive professional experience in higher education, demonstrating excellence in teaching, curriculum development, and academic coordination. Her research interests include deep learning applications for cybersecurity, decentralized systems, and intelligent data analysis. She has published numerous papers in reputed international journals such as Oxidation Communications, Ain Shams Engineering Journal, Journal of Supercomputing, and Optical Fiber Technology, addressing challenges in areas like federated learning, SDN-IoT security frameworks, and evolutionary intrusion detection systems. She has also presented her work at several international conferences, contributing to advancements in AI-based healthcare, blockchain-enabled sustainability, and smart network optimization. A published author of a textbook on Database Management Systems, she has guided multiple undergraduate and postgraduate projects that have gained recognition at academic and professional levels. Her technical proficiency spans programming languages like Python, Java, and C++, and tools for web and data driven applications. Beyond research and teaching, she has been actively involved in organizing academic events, fostering industry collaborations, and mentoring students toward innovation. Her commitment to advancing technology education and research underscores her vision of shaping the next generation of computer science professionals through excellence, creativity, and applied intelligence.

Profiles: Scopus | Orcid

Featured Publications

Benitha Christinal, J., Betsee Natasha, A., Nivethitha, M., Asmitha, E., & Kaviya, N. (2025). A modern generative AI framework for Alzheimer detection leveraging autoencoders and softmax classifier. In Proceedings of the 3rd International Conference on Augmented Intelligence and Sustainable Systems (ICAISS 2025). IEEE.

Benitha Christinal, J., Jagadeesh, S., Ajai, M., Lakshman, A., & Betsee Natasha, A. (2025). Memory Montage: Amnesia support appa. In Proceedings of the International Conference on Emerging Trends in Engineering and Technology (ICETET 2025). IEEE.

Benitha Christinal, J., & Ameelia Roseline, A. (2025, September). Securing SDON with hybrid evolutionary intrusion detection system: An ensemble algorithm for feature selection and classification. Optical Fiber Technology, 104206.

Benitha Christinal, J., Chandran, V., Srinic, J., & Prasannasrinivasan, A. (2024). A distributed node clustering coalition game for mobile ad hoc networks. In Proceedings of the Asia Pacific Conference on Innovation in Technology (APCIT 2024). IEEE.

Sumanth, V., Anitha, K., Christinal, J. B., Sekhar, G. S., Khekare, G., Patil, H., Kumar, N. M., & Rajaram, A. (2024). Advanced communications and networking for environmental protection monitoring in remote wilderness areas. Journal of Environmental Protection and Ecology, 25(3), 1012–1023.

Pratap Chandra Mandal | Operations | Best Researcher Award

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Dr. Pratap Chandra Mandal | Operations | Best Researcher Award

Assistant Professor | Indian Institute of Management Shillong | India

Dr. Pratap Chandra Mandal is an Assistant Professor of Marketing at the Indian Institute of Management Shillong, recognized for his extensive academic and research experience in marketing, consumer behavior, and service management. His research primarily focuses on customer satisfaction, service quality, and consumer decision making processes, with a strong emphasis on developing reliable and validated measurement scales to assess satisfaction in diverse service contexts such as retail banking and service recovery. His doctoral research contributed significantly to understanding the multidimensional nature of customer satisfaction in the Indian retail banking sector through the integration of qualitative and quantitative methodologies, including grounded theory, factor analysis, and structural equation modeling. Over the course of his academic career, he has demonstrated a sustained commitment to high quality scholarship, publishing in peer reviewed journals and serving as a dedicated peer reviewer for reputed international journals such as the Journal of Global Marketing and Cogent Food and Agriculture. He has been consistently recognized for his academic excellence, research contributions, and professional engagement in advancing marketing education and research. His teaching and research interests encompass areas such as consumer psychology, marketing analytics, strategic marketing, and service innovation, through which he continues to contribute to the development of evidence based insights and the cultivation of future marketing professionals.

Profiles: Scopus | Google Scholar

Featured Publications

Mandal, P. C., Mukherjee, I., Paul, G., & Chatterji, B. N. (2022). Digital image steganography: A literature survey. Information Sciences, 609, 1451–1488.

Mandal, P. C. (2018). Qualitative research: Criteria of evaluation. Qualitative Research, 3(2), 1–6.

Mandal, P. C. (2012). Evaluation of performance of the symmetric key algorithms: DES, 3DES, AES and Blowfish. Journal of Global Research in Computer Science, 3(8), 67–70.

Mandal, P. C. (2014). Net promoter score: A conceptual analysis. International Journal of Management Concepts and Philosophy, 8(4), 209–219.

Mandal, P. C., Mukherjee, I., & Chatterji, B. N. (2021). High capacity reversible and secured data hiding in images using interpolation and difference expansion technique. Multimedia Tools and Applications, 80(3), 3623–3644.