B.Sc. with 1st Class 1st Position (Dibrugarh University) in 1994
M.Sc. with 1st Class 1st Position (Gauhati University) in 1997
Ph.D. in Molecular Bioloy and Biotechnology (Tezpur University) in 2006
Postdoc in Biochemistry and Molecular Biology (Oklahoma State University, USA) in 2013-2014
RESEARCH, TEACHING, or OTHER INTERESTS
Agricultural and Biological Sciences, Ecology, Evolution, Behavior and Systematics, Plant Science, Molecular Biology
Tailoring Ba3PCl3-based perovskite solar cells via multi-parameter optimization for high power conversion efficiency Sagar Bhattarai, Roshni Banthia, Abhinav Kumar, Ahmet Sait Alali, D. K. Dwivedi, Bhaben Tanti, Madhusudan Maiti, Suddhendu DasMahapatra Scientific Reports, 2026 Recent research has put the spotlight on PSCs (perovskite solar cells) where leads are not present, because they’re better for the environment and have impressive photovoltaic features. Though, the lead-based options like MAPbI₃ are high performers, but their toxicity is a big drawback. In this study, we’re introducing Ba3PCl3 as a new, non-toxic absorber material to tackle those environmental worries while keeping strong optoelectronic properties. To boost efficiency, we checked out different electron transport layers (ETLs), and it turns out cerium oxide (CeO2) performed best for improving carrier extraction and reducing recombination. We modelled and optimized the device architecture using SCAPS-1D, focusing on things like absorber thickness and defect density. A comprehensive parametric sweep showed that fine-tuning these factors really makes a difference in device performance. The top configuration achieved a JSC (short circuit current density) equal to 43.35 mA/cm2, a VOC (open circuit voltage) equal to 0.7059 V, a FF (fill factor) equal to 82.92%, and a PCE (power conversion efficiency) equal to 25.38%.
Comparative SCAPS-1D simulation of lead-based and lead-free 2D perovskite absorbers for high-efficiency solar cells Sagar Bhattarai, Shweta Dey, Abhinav Kumar, D. K. Dwivedi, Bhaben Tanti, Dibyendu Chowdhury, Suddhendu DasMahapatra Discover Applied Sciences, 2026 In recent studies, with the benefit of a highly stable quasi 2D Dion-Jacobson (DJ) phase, lead-iodide perovskite PeDAMA4Pb5I16 holds great potential to be employed in solar cells. The DJ structure is beneficial as it decreases van der Waals gaps between layers, enhancing stability. Though they are lead-based, they tend to have a wider bandgap, limiting light absorption and behaving more as an interfacial layer for defect passivation and CBO tuning. Thus, to overcome this drawback, the lead-free 2D perovskite material Cs2GeI2Br2 can provide a lower bandgap for improved absorption and enhanced photocurrent. Firstly, two structures have been simulated, both consisting of a single absorbent layer, PeDAMA4Pb5I16 and Cs2GeI2Br2, respectively. The latter one exhibited good performance in optoelectronic parameters such as J-V and QE, simulated with SCAPS-1D software. The outcomes obtained by optimizing the lead-based structure are a Power conversion efficiency (PCE) of 25.20% and a JSC of 18.25 mA/cm2. Whereas, after optimizing the lead-free structure, the achieved JSC is 27.10 mA/cm2, and PCE increased to 30.30%.
Decoding plant physiology through systems biology: Integrative multi-omics and computational perspectives for next-generation crop design Bikash Kumar Kundu, Bhaben Tanti Plant Communications, 2026 The convergence of high-resolution multi-omics technologies with computational systems biology is transforming plant physiology by enabling predictive, mechanistic, and field-relevant insights into crop performance, adaptation, and resilience. This review presents an integrative and forward-looking synthesis spanning genomics, transcriptomics, proteomics, metabolomics, epigenomics, phenomics, and the rapidly emerging fields of single-cell and spatial omics, highlighting how these complementary layers can be computationally unified to achieve cell-type-resolved and tissue-specific insights into plant function. We discuss integrative analytical frameworks that combine gene regulatory network inference, machine learning, and explainable artificial intelligence (XAI), illustrating how these approaches accelerate the identification of key regulators, improve genotype-environment interaction modeling, and advance multiscale phenotypic prediction. Representative case studies demonstrate how multi-omics integration-ranging from single-cell transcriptomic atlases in Arabidopsis to nitrogen-use-efficiency modeling and omics-guided genome editing in cereals-bridges laboratory-scale discovery with field-level validation. We further propose a translational roadmap that links persistent bottlenecks, including data heterogeneity, limited spatiotemporal resolution, and the underrepresentation of non-model species, with actionable solutions such as FAIR-compliant data infrastructures, high-resolution spatiotemporal omics, hybrid mechanistic artificial intelligence (AI) modeling, and digital twin frameworks. By connecting molecular mechanisms to ecosystem-level performance, this review articulates a coherent vision for predictive, design-driven, and climate-resilient agriculture grounded in systems-level plant biology.
Decoding the Plant Nutrient Continuum: Regulatory Logic from Deficiency to Sufficiency and Toxicity Bikash Kumar Kundu, Bhaben Tanti Critical Reviews in Plant Sciences, 2026 Plants experience nutrient availability as a dynamic continuum spanning deficiency, physiological sufficiency, and toxic excess. However, nutrient responses are commonly interpreted as discrete states, limiting understanding of how plants integrate signals across gradients. Here, we synthesize molecular, cellular, and systems-level evidence to propose a unified regulatory framework in which nutrient signaling can be interpreted as operating within a metabolically constrained, context-dependent regulatory system. Nutrient perception emerges from integration of membrane-localized transceptors, intracellular metabolic sensors, Ca2+ and redox-associated signaling, and systemic pathways. These inputs converge on central regulatory hubs, particularly the TOR-SnRK1 axis, linking nutrient availability with carbon-energy balance. Downstream transcriptional networks, including NLPs, SPX-PHR modules, NIGT1/HRS1 repressors, and FIT-centered systems, translate nutrient and metabolic status into coordinated gene expression. Post-transcriptional and post-translational mechanisms further constrain system behavior, particularly under nutrient excess. Collectively, this synthesis supports a continuum-based model in which nutrient responses are governed by integrated regulatory networks rather than discrete pathways. This framework provides a foundation for linking molecular regulation with whole-plant physiology and for improving nutrient use efficiency and resilience under variable environments, and provides a predictive framework for integrating molecular regulation with crop performance.
Metabolite Diversity and Its Function in Stress Responses and Tolerance Amit Kumar Pradhan, Manabendra Nath, Umakanta Chowra, Uddipta Borthakur, Nibedita Sarma, Dikshit Goswami, Khirod Kalita, Bikash Kumar Kundu, Subrat Kakati, Zina Moni Shandilya, Preetom Regon, Bhaben Tanti Exploring Plant Stress Tolerance A Metabolomics Approach, 2026
Role of Selenium in Biofortification of Cereals Uddipta Borthakur, Amit Kumar Pradhan, Nibedita Sarma, Sabnoor Yeasrin Jyoti, Sharmistha Sarma Kalita, Bikash Kundu, Junu Poudel, Bhaben Tanti Environmental Science and Engineering, 2025
Movement and signaling of micronutrients in plant system Jyotirmay Kalita, Runa Rahman, Sharmistha Sarma Kalita, Bhaben Tanti Essential Minerals in Plant Soil Systems Coordination Signaling and Interaction Under Adverse Situations, 2024
Dissecting the Molecular Basis of Drought-Induced Oxidative Stress Tolerance in Rice Amit K. Pradhan, Sabnoor Y. Jyoti, Zina M. Shandilya, Mehzabin Rehman, Debanjali Saikia, Junu Poudel, Jyotirmay Kalita, Kongkona Borborah, Uma K. Chowra, Jnandabhiram Chutia, Lakshminarayana R. Vemireddy, Bhaben Tanti Molecular Breeding for Rice Abiotic Stress Tolerance and Nutritional Quality, 2021
Marker-assisted introgression of QTLs for yield under moisture stress into elite varieties of rice (Oryza sativa) Jeevula N. Bhukya, Swarajyalakshmi N. Bollineni, Gopalakrishna Kadambari, Reddiyamini Bommisetty, Eswar R. Gudikati, Withanawasam M. Darsha, Keerthi Issa, Srividhya Akkareddy, Suresh N. Eslavath, Ajay K. Dokuparthi, Aparna Eragam, Vinodkumar N. Moode, Rameshbabu Pottepalem, Srilakshmi Chintala, Eswarareddy P. Narrareddy, Bahbhen Tanti, Mandal P. Nimai, Pallavi Muniraju, Yeswanth V. Janaki, Lakshminarayana R. Vemireddy Plant Breeding, 2020
Biochemical and molecular mechanism of abiotic stress tolerance in plants Amit Kumar Pradhan, Mehzabin Rehman, Debanjali Saikia, Shabnoor Yeasrin Jyoti, Junu Poudel, Bhaben Tanti Plant Ecophysiology and Adaptation Under Climate Change Mechanisms and Perspectives I General Consequences and Plant Responses, 2020
Characterization of β-galactosidase from yeast associated with starter cultures used in household alcohol production in Northeast India Indian Journal of Biotechnology, 2017
Musa balbisiana colla-taxonomy, traditional knowledge and economic potentialities of the plant in Assam, India Indian Journal of Traditional Knowledge, 2016
Assessment of antimicrobial and antioxidant activities of Dendrocnide sinuata (Blume) Chew leaves-A medicinal plant used by ethnic communities of North East India Indian Journal of Natural Products and Resources, 2010
Ethnobotany of starter cultures used in alcohol fermentation by a few ethnic tribes of Northeast India Indian Journal of Traditional Knowledge, 2010
Differentiation of petroleum hydrocarbon-degrading pseudomonas spp. based on lectin binding of cell extracts in an agglutination assay Indian Journal of Biotechnology, 2010
Studies on the cytotoxic effect of oil refinery sludge on root meristem Advances in Environmental Biology, 2009
