Tag: Emerging Researcher Award

Marvin Grech, Medicine, Emerging Researcher Award

Posted on by scizentoxLeave a Comment on Marvin Grech, Medicine, Emerging Researcher Award

Mr. Marvin Grech: Interventional Radiographer and Researcher in Interventional Neuroradiology at University of Malta, Malta

Article Details

  • Title: Diagnostic reference levels in interventional neuroradiology: a scoping review
  • Authors: Marvin Grech, Francis Zarb, Reuben Grech, Neville Calleja & Paul Bezzina
  • Published: 25 March 2026, European Radiology
  • Type: Open-access review article
  • Scope: Evaluates literature on diagnostic reference levels (DRLs) in interventional neuroradiology (INR), including both diagnostic (cerebral angiography) and therapeutic procedures (stroke thrombectomy, aneurysm coiling, AVM/AVF embolisation).

Novelty

  • Provides a comprehensive synthesis of DRLs specifically in INR, an area with limited consolidated data.
  • Highlights the wide variability in reported DRLs, which had not been systematically compared before.
  • Emphasizes methodological differences (percentile choice, procedure grouping, inclusion criteria), which are rarely discussed in prior reviews.

Impact

  • Raises awareness of dose variability in INR procedures, which is directly relevant to patient safety and radiation exposure optimisation.
  • Serves as a reference for hospitals and regulatory bodies to develop or refine local DRLs.
  • Supports the broader movement towards standardising radiation dose monitoring in interventional radiology, improving compliance with European and international radiation protection guidelines.

Originality

  • Unlike single-center or national studies, this is a scoping review covering 39 studies across multiple countries, offering a global perspective.
  • Combines data on multiple INR procedures, not just diagnostic angiography or one therapeutic intervention.
  • Offers critical evaluation of methodologies used to derive DRLs, not just reporting numbers.

Experimental Rigor

  • Rigorous systematic search strategy using multiple databases: SCOPUS, Web of Science, PubMed, and ProQuest.
  • Clear inclusion criteria for studies reporting DRLs in both diagnostic and therapeutic INR procedures.
  • Extracted detailed parameters (PKA, FT, RAK, sample size, statistical approaches).
  • Limitation: Being a scoping review, it does not perform meta-analysis or standardised statistical comparison; focuses on summarisation rather than quantitative synthesis.

Sustainability Impact

  • Indirectly promotes sustainability in healthcare by:
    • Encouraging radiation dose optimisation, reducing unnecessary patient exposure.
    • Highlighting best practices in procedural efficiency, which can lower resource use (fluoroscopy time, contrast agent use).
  • Standardised DRLs could lead to less procedural waste and more efficient interventional radiology workflows.

Applicability

  • High clinical relevance:
    • Can guide radiologists, medical physicists, and hospitals in setting or updating local DRLs.
    • Useful for regulatory bodies and professional societies when developing national or international dose guidelines.
  • Can inform training programs for INR practitioners to be aware of typical dose ranges.
  • Supports harmonisation across institutions, aiding multicenter studies and quality improvement programs.

Research Portfolio

Marvin Grech is a highly experienced radiographer and interventional cardiology imaging specialist from Malta, with over 25 years of clinical and research expertise. He combines a strong background in diagnostic radiography, cardiac imaging, and radiation protection with leadership roles in clinical practice. Marvin is recognized for integrating cutting-edge imaging technologies and evidence-based protocols to improve patient outcomes while promoting staff training, professional development, and safety in radiology and cardiology services.

Online Profile

ORCID Profile

Marvin maintains an active professional presence in the global medical imaging and cardiology community. He regularly participates in international conferences, workshops, and professional societies, including ECR, ESC, CIRSE, and RSNA. His online profile emphasizes his commitment to advancing interventional radiology, developing diagnostic reference levels (DRLs), and promoting radiation safety and innovation in healthcare. He also engages in knowledge-sharing initiatives, mentoring young professionals, and contributing to continuing professional development in radiography and cardiology.

Education

Marvin’s academic foundation is comprehensive and multidisciplinary. He earned a BSc (Hons) in Radiography and a Diploma in Health Science from the University of Malta, followed by a Diploma in Management Studies to strengthen his leadership skills. He further pursued an MSc in Cardiology from the University of Brighton to deepen his expertise in cardiac imaging. Currently, he is undertaking a PhD at the University of Malta, reflecting his commitment to research excellence and advancing scientific knowledge in diagnostic and interventional imaging.

Research Focus

Marvin’s research focuses on optimizing interventional radiology and cardiology practices to enhance patient safety and clinical efficiency. Key areas include radiation dose reduction strategies, establishing diagnostic reference levels (DRLs) in interventional cardiology and neuroradiology, and evaluating innovative imaging technologies. His work emphasizes translating research into practical improvements in clinical protocols, staff training, and patient-centered care, ensuring that imaging services meet the highest standards of safety and diagnostic quality.

Experience

Marvin has extensive professional experience spanning multiple healthcare systems and international settings. He has progressed through roles from Casual Radiographer to Executive Allied Health Practitioner and Area Lead at Mater Dei Hospital, overseeing the Angiosuite and Cardiac Catheterization Suite. He has worked at St. Luke’s Hospital, King Salman Heart Centre in Saudi Arabia, and other specialized institutions, leading imaging teams, implementing best practices, training staff, and coordinating interdisciplinary projects. His experience bridges clinical operations, research, and education, making him a recognized leader in interventional radiology and cardiology imaging.

Research Timeline & Activities

Marvin’s research and professional development activities span more than a decade, beginning with presentations on coronary angiography at ESC Congress 2011 and continuing through 2026 with contributions at ECR, RSNA, CIRSE, and Maltese Cardiac Society conferences. He has delivered oral and poster presentations, published peer-reviewed papers, and participated in workshops focused on radiation safety, interventional imaging protocols, and emerging technologies. He actively engages in collaborative research projects, clinical audits, and continuous professional education to advance evidence-based practice in radiography and cardiology.

Awards & Honors

Marvin has received recognition for his research excellence, most notably the Best Research Presentation Abstract at ECR 2026 for his work on establishing diagnostic reference levels for neurointerventional procedures in Malta. He has also earned merit awards for contributions to radiography and cardiac imaging research and has been acknowledged for leadership in professional societies, including the Society of Medical Radiographers and the Maltese Cardiac Society. His awards reflect a sustained commitment to innovation, patient safety, and professional development.

Strength for the Emerging Researcher Award

1. Pioneering Research in Interventional Neuroradiology
  • Developed a comprehensive scoping review on diagnostic reference levels (DRLs) across diagnostic and therapeutic interventional neuroradiology procedures.
  • Synthesized data from 39 international studies, providing a global perspective on DRLs where consolidated evidence was previously limited.
  • Critically evaluated methodological differences in reporting DRLs, highlighting a novel approach that goes beyond simple data collection.
2. Patient Safety and Radiation Dose Optimization
  • Focuses on reducing patient radiation exposure and optimizing fluoroscopy and contrast agent use in interventional procedures.
  • Research contributes directly to clinical safety, procedural efficiency, and sustainability in healthcare.
  • Promotes standardized DRLs, helping hospitals and regulatory bodies develop guidelines aligned with European and international radiation protection standards.
3. Translational Impact and Clinical Applicability
  • Research is highly applicable to daily clinical practice, guiding radiologists, medical physicists, and hospitals in establishing or updating local DRLs.
  • Supports training programs and quality improvement initiatives in interventional neuroradiology.
  • Helps harmonize procedural protocols across institutions, facilitating multicenter studies and enhancing patient care consistency.
4. Extensive Professional and Research Expertise
  • Over 25 years of clinical and research experience across multiple international healthcare settings, including Malta and Saudi Arabia.
  • Combines hands-on interventional radiography experience with leadership roles, fostering innovation in imaging technologies and evidence-based clinical protocols.
  • Active engagement in international conferences (ECR, RSNA, CIRSE, ESC) and professional societies demonstrates a commitment to advancing the field globally.
5. Recognition and Leadership in the Field
  • Awarded Best Research Presentation Abstract at ECR 2026, highlighting the international relevance and impact of his work.
  • Contributes to mentorship and professional development, supporting the next generation of radiographers and interventional specialists.
  • Recognized for combining research excellence, clinical leadership, and knowledge translation, positioning him as an emerging leader in interventional radiology research.

Shubhamoy Gantait, Medicine, Emerging Researcher Award

Posted on by scizentoxLeave a Comment on Shubhamoy Gantait, Medicine, Emerging Researcher Award

Dr. Shubhamoy Gantait: FNB neurovascular intervention fellow at Mazumdar Shaw Medical centre, Narayana Health, India.

Article Details

Novelty

  • This study is among the first to correlate dual-energy CT quantitative parameters with IHC biomarkers in invasive breast cancer.

  • Introduces the concept of using DECT, traditionally for anatomical imaging, as a functional imaging tool reflecting tumor vascularity and biology.

  • Offers non-invasive insight into ER/PR/HER2 status, potentially reducing dependency on tissue biopsy in certain scenarios.

Impact

  • Can influence clinical decision-making by predicting tumor receptor status before biopsy results are available.

  • May help tailor neoadjuvant therapies more quickly, especially in aggressive or HER2-positive cancers.

  • Adds value to imaging studies by integrating anatomical and functional biomarkers in a single DECT scan.

Originality

  • Combines quantitative DECT parameters (IC, NIC, Zeff, slope K) with IHC biomarker analysis, which is not commonly reported in prior breast cancer studies.

  • Uses novel parameter slope K to correlate with tumor receptor expression.

  • Applies DECT as a dual diagnostic tool: staging and functional characterization.

Experimental Rigor

  • Prospective design increases reliability of results.

  • Multiple DECT parameters were systematically measured with region-of-interest (ROI) methodology, enhancing reproducibility.

  • Appropriate statistical methods (ROC curves, p-values) were applied.

  • Limitation: The study does not mention the sample size, which could affect statistical power.

Sustainability Impact

  • Offers a non-invasive imaging approach, potentially reducing repeat biopsies and associated medical waste.

  • Could decrease resource use in pathology labs if predictive imaging becomes reliable.

  • Enhances efficient patient workflow in oncology care settings, contributing indirectly to healthcare sustainability.

Applicability

  • Clinically applicable in breast cancer centers equipped with DECT scanners.

  • Can complement existing diagnostic protocols for ER/PR/HER2 status determination.

  • May guide personalized treatment decisions, especially in cases where biopsy is risky or delayed.

  • Potential for integration into AI-assisted imaging platforms for automated IHC prediction.

Research Portfolio

Dr. Shubhamoy Gantait is a highly skilled neurovascular interventionist and radiologist with advanced expertise in both diagnostic and interventional imaging. Currently serving as an FNB fellow at Mazumdar Shaw Medical Centre, Narayana Health, Bangalore, he specializes in stroke interventions, peripheral vascular procedures, and image-guided non-vascular interventions. With a strong foundation in neuroimaging, he combines clinical precision with research-driven approaches to improve patient outcomes.

Online Profile

ORCID Profile

Dr. Gantait maintains a professional presence across institutional and international platforms, reflecting his active engagement in the global radiology community. He is a member of prestigious organizations including the National Academy of Medical Sciences (MNAMS), Royal College of Radiology (RCR), Indian Society of Vascular Interventional Radiology (ISVIR), and Cardiovascular and Interventional Radiological Society of Europe (CIRSE). These affiliations underscore his commitment to advancing interventional radiology standards and sharing expertise across networks.

Education

Dr. Gantait earned his DM in Neuroimaging and Interventions from JIPMER, Puducherry, and completed a DNB in Radiodiagnosis from Rajiv Gandhi Cancer Institute, New Delhi. He graduated with an MBBS degree from Calcutta National Medical College, achieving honors in pediatrics and preventive & social medicine. His ongoing FNB fellowship in Neurovascular Interventions at Mazumdar Shaw Medical Centre further strengthens his super-specialty knowledge and procedural expertise in complex cerebrovascular and peripheral interventions.

Research Focus

His research primarily focuses on advanced neuroimaging techniques and image-guided interventions aimed at improving diagnostic accuracy and therapeutic outcomes. Dr. Gantait has investigated the role of ASL perfusion MRI in acute encephalopathy and diffusion-weighted MRI in prostate cancer evaluation, demonstrating a commitment to integrating imaging biomarkers into clinical decision-making. His work bridges diagnostic radiology and interventional strategies, contributing to innovations in stroke and vascular care.

Experience

Dr. Gantait has a diverse clinical background, having worked in top-tier medical institutions including JIPMER, Rajiv Gandhi Cancer Institute, BP Poddar Hospital, and Welkin Medicare. He has extensive experience in CT, MRI, ultrasound, and fluoroscopic procedures, and is proficient in advanced neurovascular interventions, peripheral vascular embolizations, biliary procedures, and sclerotherapy of vascular malformations. His roles have ranged from senior resident and consultant radiologist to interventional fellow, demonstrating a blend of academic rigor and hands-on expertise.

Research Timeline & Activities

Dr. Gantait began his research journey during his DNB residency (2015–2018), focusing on diffusion-weighted MRI in oncology. During his DM training (2021–2023), he conducted studies on ASL perfusion MRI in acute neurological disorders, developing clinical protocols for neurovascular assessment. Currently, as an FNB fellow, he participates in multicenter clinical trials, protocol development for stroke interventions, and advanced imaging studies, actively contributing to research in neurovascular and peripheral interventions.

Awards & Honors

He has been recognized with multiple accolades for academic excellence and clinical proficiency, including the Best DNB Resident Award (2017), gold medal in pediatrics during MBBS, 1st rank in FET 2023 in Neurovascular Intervention, and 3rd rank in JIPMER DM/MCh entrance (2021). Early academic achievements include a state-level merit ranking in Class 10 and MBBS honors in preventive medicine and pediatrics, reflecting a consistent record of excellence.

Strength an Emerging Researcher Award 

1. Early-Career Status

Requirement: Typically researchers with under 5–7 years of post-doctoral or equivalent experience.

Assessment: Dr. Gantait completed his DNB (2018) and DM (2023) and is currently pursuing an FNB fellowship. His active post-specialty research career spans roughly 3–5 years.

Verdict:  Meets the early-career criterion.

2. Research Innovation & Originality

Evidence:

First studies correlating dual-energy CT quantitative parameters with IHC biomarkers in breast cancer, integrating anatomical and functional imaging.

Novel use of slope K parameter for predicting tumor receptor expression.

Pioneering research in ASL perfusion MRI for acute encephalopathy and diffusion-weighted MRI in oncology.

Impact: Introduces non-invasive predictive imaging approaches with clinical decision-making potential.

Verdict:  Strong innovation and originality.

3. Research Impact & Applicability

Evidence:

DECT study offers potential to reduce biopsy dependency, accelerate neoadjuvant therapy decisions, and enhance imaging efficiency.

Work on neuroimaging (stroke, peripheral vascular interventions) demonstrates translational value for patient care.

Publications in reputed journals and involvement in multicenter clinical trials.

Verdict:  High translational and clinical impact.

4. Academic & Professional Recognition

Evidence:

Membership in MNAMS, RCR, ISVIR, CIRSE, reflecting international recognition.

Multiple awards: Best DNB Resident, Gold Medal in MBBS Pediatrics, 1st rank FET 2023, 3rd rank JIPMER DM/MCh entrance.

Verdict: Recognized by peers and professional bodies; strong leadership potential.

5. Sustained Research Trajectory

Evidence:

Continuous research from DNB residency (2015–2018) → DM (2021–2023) → current FNB fellowship.

Active in clinical trials, imaging protocol development, and interdisciplinary collaborations.

Demonstrates a trajectory from foundational MRI research to innovative DECT imaging in oncology.

Verdict: Demonstrates a strong, sustained and evolving research trajectory.

Prashant Pandey, Mathematics, Emerging Researcher Award

Posted on by scizentoxLeave a Comment on Prashant Pandey, Mathematics, Emerging Researcher Award

Asst. Prof. Prashant Pandey: Assistant professor at Amity University Ranchi Jharkhand, India

Title/Designation: Asst. Prof
Name: Prashant Pandey
Current Role/Designation: Assistant Professor
Organization/Institution: Amity University Ranchi, Jharkhand
Country: India
Subject Track: Mathematics
Award Category: Emerging Researcher Award

Prashant Kumar Pandey is an applied mathematician and researcher with expertise in numerical analysis, scientific computing, and high-order methods for partial differential equations. He specializes in the development of non-oscillatory and entropy-stable numerical schemes for hyperbolic conservation laws, with growing interests in machine-learning-assisted numerical methods. He completed his PhD in Applied Mathematics from SRM Institute of Science and Technology, where his work addressed robustness, accuracy, and stability in advanced computational schemes.

Online Profiles

Google Scholar Profile

Since 2020, Prashant Kumar Pandey’s research work has received 9 total citations, with an h-index of 2, reflecting the growing visibility and scholarly impact of his contributions in applied mathematics, numerical analysis, and entropy-stable computational schemes.

Education

He earned his PhD in Applied Mathematics (2018–2024) from SRM Institute of Science and Technology, Kanchipuram, with a doctoral thesis focused on efficient and robust construction of non-oscillatory and entropy-stable schemes. Prior to this, he completed an MSc in Mathematics from IIT Madras in 2013, gaining strong analytical and computational training, and a BSc (Hons.) in Mathematics from Banaras Hindu University in 2010, establishing a solid foundation in pure and applied mathematics.

Research Focus

His research interests center on high-order finite difference and finite volume methods for hyperbolic conservation laws, including ENO and WENO reconstructions, entropy-stable discretizations, and shock-capturing techniques. He also works on integrating machine learning approaches—such as classification and regression neural networks—into numerical schemes to enhance adaptivity, accuracy, and computational efficiency in simulations involving discontinuities.

Experience

He has accumulated experience in both teaching and research roles, having served as a lecturer in mathematics at Meerut Institute of Engineering and Technology and as a JEE (Main) mathematics trainer at reputed integrated institutions in Karnataka and Tamil Nadu. Alongside teaching, he has extensive research experience gained during his doctoral tenure, involving numerical modeling, algorithm development, scientific programming, and collaborative research in applied mathematics.

Research Timeline & Activities

Since December 2017, he has been actively engaged in doctoral and postdoctoral-level research activities at SRM Institute of Science and Technology. His research timeline includes developing novel numerical schemes, publishing in SCI-indexed journals, presenting research at national and international conferences, participating in workshops on conservation laws and numerical methods, and collaborating with researchers on interdisciplinary projects combining numerical analysis and machine learning.

Awards & Honors

He has demonstrated strong academic performance at the national level by qualifying the IIT-JAM Mathematics examination with an All India Rank of 120 in 2011 and successfully qualifying the GATE examination in Mathematics in 2013. These achievements reflect his solid theoretical background and competitive standing among mathematics graduates in India.

Top Noted Publication

His top noted publications include Q1 and Q2 SCI-indexed journal articles in Applied Mathematics and Computation, Computational and Applied Mathematics, Physica Scripta, and Soft Computing. Among these, his 2023 article in Applied Mathematics and Computation on sign-stable arbitrary high-order reconstructions for entropy-stable schemes stands out for its methodological rigor and impact in the field of numerical methods for conservation laws.

  • Sign stable arbitrary high order reconstructions for constructing non-oscillatory entropy stable schemes
    P. K. Pandey, R. K. Dubey, Applied Mathematics and Computation, Vol. 454, Article 128099, 2023 — Cited by 4

  • High-resolution WENO schemes using local variation-based smoothness indicator
    P. K. Pandey, F. Ismail, R. K. Dubey, Computational and Applied Mathematics, 41(5), 208, 2022 — Cited by 3

  • Learning numerical viscosity using artificial neural regression network
    R. K. Dubey, A. Gupta, V. K. Jayswal, P. K. Pandey, International Conference on Computational Sciences: Modelling, Computing and Simulation, 2020 — Cited by 2

  • An efficient scaling of WENO-JS weights for accuracy preserving and higher resolution schemes
    P. K. Pandey, R. K. Dubey, Physica Scripta, 98(8), 085247, 2023

  • ENO classification and regression neural networks for numerical approximation of discontinuous flow problems
    V. K. Jayswal, P. K. Pandey, Soft Computing, 2024

  • Efficient diffusion for high order non-oscillatory entropy stable schemes
    A. Sahu, P. K. Pandey, R. K. Dubey, Applied Mathematics and Computation, Vol. 518, Article 129901, 2026

Strengths for the Emerging Researcher Award

  1. Strong Research Foundation in High-Impact Areas
    Dr. Prashant Kumar Pandey has developed a solid research foundation in applied mathematics, particularly in numerical analysis of hyperbolic conservation laws. His work on non-oscillatory and entropy-stable schemes addresses fundamental challenges of stability, accuracy, and robustness, making his research highly relevant to both theoretical and computational mathematics.

  2. Publications in Reputed SCI Journals
    He has published multiple research articles in well-regarded Q1 and Q2 SCI-indexed journals such as Applied Mathematics and Computation, Computational and Applied Mathematics, Physica Scripta, and Soft Computing. These publications demonstrate his ability to produce high-quality, peer-reviewed research early in his academic career, a key indicator of an emerging researcher.

  3. Interdisciplinary Integration of Machine Learning and Numerics
    A notable strength of his research profile is the integration of machine learning techniques—such as classification and regression neural networks—into classical numerical schemes. This interdisciplinary approach enhances adaptivity and performance in numerical simulations and reflects innovation at the intersection of applied mathematics and artificial intelligence.

  4. Growing Research Impact and Visibility
    Since 2020, his work has accumulated citations with an h-index of 2, indicating increasing recognition within the research community. His most cited works in Applied Mathematics and Computation and Computational and Applied Mathematics highlight the relevance and applicability of his contributions to ongoing research in numerical methods.

  5. Commitment to Academic Growth and Research Leadership
    As an Assistant Professor at Amity University Ranchi, he actively balances teaching with research, contributing to curriculum delivery while continuing scholarly output. His consistent engagement in conferences, workshops, collaborations, and future-oriented research projects reflects strong potential for long-term academic leadership and recognition as an emerging researcher.

Debakshi Bora, Economics, Emerging Researcher Award

Posted on by scizentoxLeave a Comment on Debakshi Bora, Economics, Emerging Researcher Award

Asst. Prof. Debakshi Bora: Assistant Professor at Assam Women’s University, India

Dr. (Ms.) Debakshi Bora is an academician and researcher specializing in Development and Environmental Economics, currently serving as an Assistant Professor in the Department of Economics at Assam Women’s University, Jorhat, Assam, India. She completed her M.A. in Economics from Cotton University and has submitted her Ph.D. thesis at Dibrugarh University on “Livelihood Diversification among the Plains and Hill Tribes of Assam: A Case Study.” Dr. Bora has qualified both UGC-NET (2018) and SET (2017) in Economics. With a strong academic and research background, she has contributed extensively to the study of rural development, tribal livelihood strategies, and socio-economic transformation in the North-Eastern region of India.

Online Profiles

Google Scholar Profile

  • Citations: 302 (All / Since 2020) → The author’s work has been cited 302 times total, and all those citations occurred since 2020 (so their publication record is fairly recent or most active in that period).

  • h-index: 4 → The author has 4 papers that have each been cited at least 4 times. This measures both productivity and impact.

  • i10-index: 2 → The author has 2 papers with at least 10 citations each.

Education

Dr. Bora holds a strong academic foundation in Economics with degrees from reputed institutions of Assam. She obtained her B.A. (Honours) in Economics from Gauhati University in 2013 and M.A. in Economics from Cotton University in 2015. She qualified both the State Eligibility Test (SET) in 2017 and the National Eligibility Test (NET) in 2018, demonstrating academic excellence and eligibility for higher research and teaching. She has submitted her Ph.D. thesis at Dibrugarh University under the title “Livelihood Diversification among the Plains and Hill Tribes of Assam: A Case Study.” Her research bridges the gap between socio-economic theory and the realities of marginalized tribal communities in rural Assam.

Research Focus

Dr. Bora’s research primarily focuses on Development Economics, Demography, Environmental Economics, Tribal Studies, and the North-East Indian Economy. Her investigations explore the intersections between economic growth, livelihood diversification, and sustainable rural development. She has examined how socio-economic and environmental factors shape livelihood strategies among tribal communities and how policies can foster inclusive development. Her scholarly work also engages with poverty measurement, rural employment diversification, gender issues, and the implications of aging populations in the North-East region.Experience

Dr. Bora is currently an Assistant Professor in the Department of Economics at Assam Women’s University, Jorhat, where she teaches undergraduate and postgraduate courses in Economics. Alongside teaching, she mentors students in research methodology, development studies, and applied economic analysis. Her professional journey also includes participation in numerous workshops, Faculty Development Programmes (FDPs), and academic training sessions organized by prestigious institutions such as IIT Guwahati, University of Delhi, and ICSSR. She has also been a resource person in academic workshops and lecture series focused on preparing students for postgraduate and competitive examinations in Economics.

Research Timeline & Activities

Since 2017, Dr. Bora has maintained a consistent record of research, presentation, and publication. She has presented over fifteen papers at reputed national and international conferences hosted by institutions including Tripura University, NEHU Shillong, IBS Hyderabad, JNU New Delhi, and IGIDR Mumbai. Her work spans topics such as livelihood diversification, migration and employment, entrepreneurship and MSMEs, poverty and superstition, and aging and demographic transitions. Dr. Bora has also attended more than ten Faculty Development Programmes and Research Workshops, focusing on data analysis using R, data envelopment analysis, and research methodology. These experiences have strengthened her methodological expertise and interdisciplinary approach to economic research.

Awards & Honors

Dr. Bora has been recognized for her scholarly and pedagogical contributions at both institutional and regional levels. She has been invited as a resource person for academic events such as the Lecture Series on “India: The Mother of Democracy” and Chatri Divas Workshop on Economics for Competitive Examinations organized by Assam Women’s University. Additionally, she delivered a guest lecture at DCB College, Jorhat, on preparing for postgraduate entrance examinations in Economics. Her participation in prestigious faculty development programs under UGC-MMTTP, IIT Guwahati, and Ramanujan College, University of Delhi, highlights her commitment to continuous academic growth and excellence.

Top Noted Publications

  • Bora, D., & Basistha, D. (2021). The outbreak of COVID‐19 pandemic and its impact on stock market volatility: Evidence from a worst‐affected economy. Journal of Public Affairs, 21(4), e2623.
    Citations: 273

  • Bora, D., & Mahanta, A. (2024). Rural livelihood diversification among tribal communities of North-Eastern Region of India: A systematic review. Journal of Asian and African Studies, 59(3), 842–857.
    Citations: 14

  • Bora, D. (2020). Determinants of livelihood diversification among Rabha tribes of Assam: A case study. PalArch’s Journal of Archaeology of Egypt/Egyptology, 17(7), 4058–4069.
    Citations: 5

  • Das, B., & Bora, D. (2020). Determinants of farm productivity in flood prone area: A study in Dhemaji District of Assam. Indian Journal of Agricultural Research, 54(1), 83–88.
    Citations: 5

  • Bora, D., & Das, B. (2022). Nexus between poverty and superstitious beliefs among tribal communities of Assam: A case study of Rabha tribe. Journal of the Anthropological Survey of India, 71(2), 185–201.
    Citations: 2

Dr. (Ms.) Debakshi Bora is eligible for the Emerging Researcher Award

1. Academic Qualification & Research Foundation

Dr. Bora has an impressive academic background with a Ph.D. (submitted) in Economics from Dibrugarh University, M.A. in Economics from Cotton University, and B.A. (Hons.) in Economics from Gauhati University. Additionally, she has qualified both UGC-NET and SLET, demonstrating strong research aptitude and eligibility for academic research and teaching at the national level.

2. Research Contributions & Publications

Her research output is both quantitatively and qualitatively strong:

Citations: 302 (since 2020, indicating a growing impact)

h-index: 4  i10-index: 2

Her top publication on COVID-19 and stock market volatility (Journal of Public Affairs, Wiley) alone has 273 citations, showing exceptional global reach and impact.

She has several peer-reviewed journal papers in reputed indexed journals (Scopus/Wiley/SAGE).

This record positions her as a rising scholar in development and environmental economics.

3. Research Focus & Innovation

Dr. Bora’s research encompasses Development and Environmental Economics, Tribal and Rural Studies, and Socio-economic Policy in North-East India.
Her work on livelihood diversification, poverty–superstition nexus, and rural sustainability introduces original, policy-relevant insights addressing marginalized communities.
Her research bridges empirical data with socio-economic policy, demonstrating innovation and regional significance.

4. Professional Experience & Academic Engagement

As an Assistant Professor at Assam Women’s University, she actively contributes to teaching, mentoring, and research supervision.
She has:

Presented papers at national and international conferences (JNU, NEHU, IGIDR, IBS Hyderabad, Tripura University, etc.).

Participated in >10 Faculty Development Programs and workshops on advanced research methods (R, DEA, etc.).

Served as a resource person and guest lecturer, showing engagement in academic community building.

5. Recognition & Academic Potential

Dr. Bora’s invitation as a resource person in lecture series and workshops, combined with her active participation in UGC- and IIT-level FDPs, demonstrates professional recognition and commitment to continuous learning.
Her growing citation profile and interdisciplinary research signify a strong upward trajectory, fitting the essence of an Emerging Researcher—an early-career academic with demonstrated excellence and promise for significant future contributions.