The Research group of Dr. Samiran Das, Department of Data Science and Engineering has developed “MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification. The proposed model uses mask-based classification approach reflecting a paradigm shift. The work also incorporates deformable attention and cross attention-based encoder for learning efficient spatio-temporal representation. The work achieved accurate change maps as demonstrated in several experiments.” For more details, kindly visit https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10587034.

An accurate quantification of homogeneous and inhomogeneous linewidths is essential for a material’s applications in quantum information. Multidimensional coherent spectroscopy (MDCS) is a powerful technique that is often used for this purpose. However, the current analyses methods we only applicable for Gaussian inhomogeneous profiles. The research group of Dr. Rohan Singh [Department of Physics] have developed a novel framework that enables precise lineshape analysis in systems with arbitrary, non-Gaussian inhomogeneous broadening. The team introduced a simulation procedure based on a bivariate spectral distribution function and an iterative fitting algorithm that extracts both the homogeneous linewidth and the true inhomogeneous distribution from experimental spectra. Demonstrated using quantum-well exciton resonance of GaAs interfacial quantum dots, their method accurately models spectral diffusion and resolves fine spectral features. This advancement significantly broadens the applicability of MDCS in materials research and quantum information. For more details, kindly visit https://doi.org/10.1364/OL.564956

The research group of Dr. Akshay Modi [Department of Chemical Engineering] has developed a sustainable method to remove antibiotic pollutants from water using crystal-like nanostructured materials called Zeolitic Imidazolate Frameworks (ZIFs). The study targets tetracycline, a widely used antibiotic that often contaminates water bodies. The team synthesized ZIF nanostructures using a green, water-based process, optimizing the metal salt flow rate and reaction time to control their morphology and performance. One version, made with a slower flow and shorter reaction time, removed up to 76% of tetracycline from water. Remarkably, these nanomaterials performed even better in real municipal wastewater than in synthetic samples. They also demonstrated excellent reusability across 10 cycles without needing any chemical regeneration, highlighting their sustainability. This work paves the way for a cost-effective and environmentally friendly approach to producing scalable, high-performing nanoadsorbents for pharmaceutical wastewater treatment, marking a significant step toward achieving cleaner water and improved public health. For more details, kindly visit https://doi.org/10.1016/j.ces.2025.122178.

The Research Group of Dr. Arundhuti Ghatak, Department of Earth and Environmental Sciences, narrated the occurrences of critical minerals, namely the pyrochlore group of minerals in the carbonatites (niobium-hosted mineral) from the Saidiwasan Complex, Gujarat, India. These Early-formed magmatic pyrochlore groups in Saidiwasan carbonatites are characterized by high calcium, niobium, fluorine, and sodium content, subsequently replaced by secondary cation-deficient grains due to supergene weathering processes. These alterations manifest predominantly at the A site and occasionally at the B site, and involve the substitution of fluorine with hydroxide (OH-) groups. During alteration, calcium and sodium are leached from the pyrochlore structure, with charge balance maintained by the substitution of Rare Earth Elements (REE), Th, U, Ba, or Sr. In the later supergene stages, marginal and fractured zones of pyrochlore grains experience metamictization, resulting in Pb-rich and cation-deficient hydrated varieties. Mohanty and Ghatak et al., 2025, for the first time, tried to identify the alteration and narrated the substitution reactions for the leaching of the REE from the pyrochlore group and resulting in the formation of monazites (a REE-phosphate mineral). For more details, kindly visit. https://doi.org/10.1002/gj.70025

The research group of Prof. Apurba Lal Koner, Department of Chemistry developed a series of morpholine-anchored fluorescent probes, designated as SC-nmor (n = 2, 4, 6), for the visualization of protein aggregates. These probes exhibit pronounced photophysical changes upon interaction with protein fibrils, attributed to their high sensitivity to the fibrillar microenvironment. Among different probes, SC-4mor stands out for its strong selectivity toward aggregated insulin over native insulin, accompanied by a notable enhancement in fluorescence lifetime. Live-cell imaging confirms the exclusive localization of SC-4mor within the lysosomal compartment, enabling clear visualization of lysosome-accumulated protein fibrils, particularly those induced by pepstatin A treatment. In vivo studies using genetically mutated and high-sugar diet-modified Drosophila melanogaster representing both neurodegenerative and non-neurodegenerative models further demonstrate the probe’s capacity to stain protein aggregates. Notably, enhanced emission from the eye lobes of A?-mutated and HSD brain samples indicates that SC-4mor can exhibit adequate retention in the brain with minimal biological toxicity. Importantly, SC-4mor also exhibits the ability to cross the blood-brain barrier in a mouse model. These features position SC-4mor as a promising fluorogenic marker for detecting and monitoring neurotoxic protein fibrillation in live cells and animal models, providing valuable insights into the mechanisms underlying protein aggregation and neurodegeneration. For more details, kindly visit https://onlinelibrary.wiley.com/doi/10.1002/smll.202570164?af=R

The Research group of Dr. Mitradip Bhattacharjee [Department of Electrical Engineering and Computer Science] developed “a novel tactile sensing skin designed for the perception of diverse surfaces. It utilizes a microstructured porous tactile sensor, exhibiting notable sensitivity at 21.5 kPa-1 under low-pressure conditions and 2.5 kPa-1 in high-pressure scenarios. The sensor also boasts an impressively low detection limit of 2.5 Pa, allowing for discernment of subtle pressure variations. Simultaneously, we utilize a flexible temperature sensor exhibiting a sensitivity of 0.58 % °C-1 and swift response attributes to facilitate the detection of radiated heat from diverse surfaces. The incorporation of a multilayer perceptron algorithm into the developed glove-like system, equipped with tactile and temperature sensors, achieves 87% accuracy in classifying eleven distinct surfaces.” For more details, kindly visit https://ieeexplore.ieee.org/document/10990295.

The Research group of Dr. Pritam Nasipuri, Department of Earth and Environmental Science, developed a chronological–thermal model of Earth’s evolution at 2500 Ma. Their research presents a petro-chronological study of two-pyroxene mafic rock enclaves within 2500 Ma charnockites in the East Dharwar Craton (EDC). These rocks, with Mg numbers between 42 and 57, formed under high-temperature and pressure conditions (up to ~1050 °C and 30 kilometers). Zoned monazites show age clusters at 2638 Ma, 2539 Ma, and 2458 Ma, while zircons yield an upper intercept age of 2506 ± 13 Ma. The data indicate the presence of Nb-rich, Ti-poor mafic proto-crust around 2600 Ma, which likely triggered Neoarchean ultra-high temperature, > 900OC, (UHT) metamorphism. Monazite crystallization at 2536 Ma is linked to charnockite intrusion during crustal amalgamation, while later monazite growth (<2500 Ma) occurred during isothermal cooling. The earliest tectonism (~2638 Ma) aligns with the assembly of the Neoarchean Kenorland supercontinent. For more details, kindly visit https://doi.org/10.1080/00206814.2025.2499899

The Research group of Prof. Vineet K. Sharma [Department of Biological Sciences] developed an AI based tool to predict the biodegradation of environmental pollutants using enzymes from bacterial genomes and metagenomes. For more details, kindly visit https://academic.oup.com/nargab/article/7/2/lqaf037/8123453.

The Research group of Dr. Subhajit Roychowdhury [Department of Chemistry] discovered a unique way to probe the ferroelectric distortion in the topological crystalline insulator (TCI). The transverse thermoelectric (Nernst) effect is a powerful probe for studying the electronic and structural properties of materials. In this study, we employ transverse thermoelectric measurements to investigate the ferroelectric distortion in TCI, Pb0.60Sn0.040Te, a compound derived from PbTe and SnTe, known for their exceptional thermoelectric performance. By leveraging Nernst measurements, we provide direct evidence of ferroelectric distortion in this TCI, corroborated by Shubnikov-de Haas quantum oscillations that confirm the presence of two topologically nontrivial Fermi pockets. Density functional theory calculations show that these pockets originate from the L and T points in the Brillouin zone of the distorted structure within the TCI phase. Raman spectroscopy also identifies structural phase transition below 50 K. This observation is further substantiated by temperature-dependent synchrotron X-ray PDF and transmission electron microscopy, which confirm the local off-centering of cations at low temperature. These findings underscore the potential of Nernst measurements in unveiling ferroelectric distortions and their role in modulating topological quantum states, opening new directions for research into the synergy between ferroelectricity and topological phases. For more details, kindly visit https://doi.org/10.1021/jacs.5c01700

The research group of Dr. Somil Swarnkar from the Department of Earth and Environmental Sciences, IISER Bhopal, in collaboration with Dr. Vikas Poonia from the Centre of Excellence in Water Management, MANIT Bhopal, conducted a study recently published in Theoretical and Applied Climatology. The study highlights the rising threat of Compound Dry and Hot Events (CDHEs)—the simultaneous occurrence of drought and heatwaves—in Madhya Pradesh (MP), driven by climate change. Using climate data from 1958 to 2022, the researchers found a sharp post-1990 increase in CDHE frequency and severity, particularly in the northern (Bhind, Morena, Gwalior) and eastern (Sidhi, Shahdol, Satna) districts. Sidhi emerged as the most impacted district, making eastern MP a critical hotspot. The team employed indices like SPI, STI, and the bivariate empirical probability distribution to quantify the intensifying relationship between high temperature and low rainfall. Given MP’s reliance on agriculture, the study recommends Integrated Water Resource Management, climate-resilient farming, early warning systems, and livelihood diversification. The researchers urge policymakers to prioritize adaptation strategies, including crop insurance and financial aid, to build rural resilience. Without proactive interventions, MP’s farming systems and water resources face growing risks under a warming climate. For more details, kindly visit https://link.springer.com/article/10.1007/s00704-025-05573-1

The research group of Dr. Dimpy Kalia (Department of Chemistry) has been awarded the MIT-IIT Kanpur Seed Fund grant with Prof. Elizabeth M. Nolan's lab at MIT Department of Chemistry to support their research on bacterial signaling. This grant will fund visits of Dr Kalia lab's students here at IISER Bhopal to Prof. Nolan's lab at MIT and will also provide funds to Prof. Nolan's lab for visiting Dr. Kalia’s lab at IISER Bhopal. These funds will facilitate collaborative research between the two labs on developing chemoproteomic probes of the bacterial secondary messenger, cyclic-di-GMP. This collaboration synergistically integrates the Kalia lab’s skillset in synthetic organic chemistry and chemoproteomics with Nolan lab's expertise in bacterial siderophores to shed light on the fascinating yet poorly understood c-di-GMP bacterial signaling mechanisms. In the long term, these efforts can lead to the development of novel antibacterial strategies focused on disrupting c-di-GMP signaling mechanisms. For more details, kindly visit https://cis.mit.edu/opportunities/faculty/global-seed-funds/current-gsf-winners

The research group of Dr. Somil Swarnkar, Department of Earth and Environmental Sciences, IISER Bhopal, in collaboration with Dr. Akshay Agarwal from the Department of Data Sciences and Engineering, has developed a Bayesian-optimized recursive machine learning framework to analyze human-induced changes in suspended sediment load (SSL) within the Godavari River Basin. The study uses long-term SSL data, divided into pre- (1969–1990) and post- (1990–2020) dam construction periods, to examine shifts in sediment transport patterns driven by anthropogenic activities such as damming and land-use/land-cover (LULC) changes. Despite a stable monsoonal contribution (~73%), the post-1990 period exhibited a marked decline in peak SSL values and a narrower range of distribution, suggesting reduced sediment availability. These findings were further supported by empirical cumulative distribution function (ECDF) analysis, which revealed altered sediment retention and release dynamics. To capture the non-linear behavior of SSL under these changing conditions, ensemble tree-based models—Extra Trees Regressor (ETR), Random Forest Regressor (RFR), and Gradient Boosting Regressor (GBR)—were trained and evaluated using R², RMSE, and MAE. Hyperparameters were optimized using Bayesian techniques, with ETR outperforming other models (R² = 0.97 training; 0.90 testing). The study offers a robust data-driven framework for sustainable sediment management in regulated river systems. For more details, kindly visit https://link.springer.com/article/10.1007/s10661-025-14039-w.

The Research group of Prof. Amit Paul, Department of Chemistry, developed Sulfur- and Nitrogen-Functionalized Few-Layer Graphene (SNFG), which demonstrated solid-state proton conductivity comparable to Nafion, currently used for different renewable energy applications, including Fuel Cells. Bringing hope for graphene-based economical material as a replacement for costly polymer-based material (Nafion). For more details, kindly visit https://pubs.rsc.org/en/content/articlelanding/2025/cc/d5cc01752a.

The Research group of Prof. Abhijit Patra, Department of Chemistry, developed a range of solution-processable cross-linked porous organic polymers for task-specific applications. This account article explores the design strategies and functional applications of solution-processable cross-linked porous organic polymers (SCPOPs). Traditional porous organic polymers (POPs) often face solubility challenges due to their highly cross-linked and rigid structures, limiting their practical applications. To address this, our research focuses on fine-tuning noncovalent interactions within the polymer network, achieving a balance between porosity and solubility to enable solution processing. A key strategy involves the incorporation of long alkyl chains, which help mitigate strong ?–? stacking interactions and excessive cross-linking, thereby enhancing solubility. Additionally, molecular weight restriction approaches, such as hyperbranching and confined polymer growth strategy, further improve solubility by controlling polymer chain propagation. Maintaining a balance between flexibility and rigidity in the polymer backbone ensures processability without compromising porosity. Furthermore, miniemulsion polymerization offers a method for fabricating stable dispersions of porous polymer nanoparticles, expanding their potential applications. The versatility of SCPOPs is demonstrated in fluorescence-based sensing, white-light generation, and photocatalytic applications, including biphasic and dip-catalysis. More details at https://pubs.acs.org/doi/10.1021/accountsmr.4c00197.

The coherent optical response is important from the perspective of applications in quantum information. Two-dimensional coherent spectroscopy (2DCS) is a powerful technique to study such properties in a variety of systems. Such experiments are typically performed in relatively low-excitation regime, particularly due to theoretical limitations of interpreting the data for high-intensity excitation. Dr. Rohan Singh and coworkers have demonstrated technique to perform exact calculations of 2D spectra even in the high-intensity regime. They have used these simulations to model experiments performed on semiconductor nanostructures, both in their group and previously reported results. These results are significant for the community of researchers performing spectroscopy with intense light. This work was published in the David Jonas Festschrift collection of the Journal of Chemical Physics. https://doi.org/10.1063/5.0249809

The Research group of Dr. Jasbanta Patro, Department of Data Science and Engineering developed Hate detection has long been a challenging task for the NLP community. The task becomes complex in a code-mixed environment because the models must understand the context and the hate expressed through language alteration. Compared to the single language setup, we see much less work on code-mixed hate as large-scale annotated hate corpora are unavailable for the study. To overcome this bottleneck, Dr Jasabanta Patro’s lab in DSE proposed a unique strategy where they relied on native language hate samples to improve code-mixed hate performance. They hypothesised that in the era of multilingual language models (MLMs), hate in code-mixed settings can be detected by majorly relying on native language samples. This work has been recently published in ACM TALLIP. More details at https://dl.acm.org/doi/pdf/10.1145/3726866

Dr Somil Swarnkar’s research team from IISER Bhopal, along with a collaborator from the USA, studied how human activities—especially building and running big dams and other water structures—have affected the Godavari River, the largest river basin in peninsular India. They looked at 50 years of data on water flow and sediment (soil and particles carried by the river). Their study found that building dams in the central part of the river has caused a big drop (about 62%) in the amount of sediment the river carries. However, smaller rivers without dams helped reduce some of the negative effects during high water flow. They also found that building many barrages (small dam-like structures) downstream has further reduced how much sediment reaches the delta (where the river meets the sea). This is a problem because less sediment means the delta cannot grow naturally, which increases the chances of coastal flooding and erosion, especially as sea levels rise due to climate change. This research could help guide better planning and management of dams and water structures in the Godavari basin to keep the river system healthy in the long run. More details at url https://doi.org/10.1080/02626667.2025.2486160

The Research group of Dr. Sanjeev Kumar Jha, Department of Earth and Environmental Sciences has developed a district-level avalanche vulnerability framework—the Combined Avalanche Vulnerability Index (CAVI) to assess avalanche vulnerability across 11 districts in the Indian Western Himalayan Region. This study integrates various meteorological, topographical, and anthropogenic factors to assess vulnerability. The findings indicate that Lahaul and Spiti are the most exposed district, Shimla is the most sensitive, and Rudraprayag is the least adaptive district to avalanches. Three out of five districts in Himachal Pradesh are highly vulnerable, while five out of six districts in Uttarakhand exhibit moderate vulnerability. To address the vulnerability, the study proposes a phased adaptation plan encompassing pre-hazard, during-hazard, and post-hazard measures aimed at mitigating avalanche impacts. More details at https://doi.org/10.1007/s10668-025-06015-8

India’s green vegetation plays a crucial role in mitigating climate change by sequestering CO? from the atmosphere. The decline in green cover due to natural as well as anthropogenic disturbances raises concerns about its long-term effectiveness in carbon sequestration. A novel study led by Dr Dhanyalekshmi Pillai and Dr Aparnna Ravi from the Greenhouse Modelling and Applications group in IISERB has developed an innovative approach using plant fluorescence detected by satellite radiance measurements along with physics-based models to quantify the carbon sequestration potential of Indian biomes. This methodological development and dissemination of application at a national level leverage recent high-resolution satellite techniques for the terrestrial carbon budget, which are of the first kind all over India. The findings reveal that while India’s ecosystems absorb more carbon than they emit—sequestering between 380 to 530 million tonnes annually—this trend is declining due to climate extremes. Central India's deciduous forests, for instance, act as carbon sources, releasing 210 million tonnes of carbon per year as respiration surpasses primary productivity. In contrast, evergreen forests remain highly efficient in CO? uptake, and croplands contribute significantly due to their vast coverage. This research is supported by the ongoing collaboration involving IISER Bhopal, Max Planck Institute for Biogeochemistry Germany, the University of Exeter United Kingdom, and India’s National Remote Sensing Centre. These insights are vital for shaping India’s emission reduction policies, supporting its 2070 net-zero goal, and strengthening climate resilience through effective ecosystem management and sustainable land-use strategies. More details at https://iopscience.iop.org/article/10.1088/2752-664X/adabed

Dr. Akshay Modi’s research group at the Department of Chemical Engineering is working to improve membrane-based water filtration technology. Their research focuses on tailoring polyacrylonitrile (PAN) membranes, which are widely used for filtration due to their strength and chemical resistance but often struggle with clogging over time. To address this issue, the team incorporated polyethylene glycol (1000 Da) into PAN membranes. This addition changed the membrane’s structure, making it a more uniform and spongy structure and increasing its ability to repel contaminants. The blended membranes also became more water-friendly, which helped prevent clogging. Although water flow through the membranes decreased slightly, the benefits of reduced clogging and improved filtration performance outweighed this effect. When tested with municipal wastewater, the modified membranes maintained better filtration efficiency, with over 80% of their performance restored after cleaning. They also effectively removed >99% of water pollutants. Further testing over multiple cycles confirmed their long-term stability. This study demonstrates that adding PEG-1000 to PAN membranes is a promising approach to making wastewater reclamation more efficient and durable, ultimately contributing to cleaner and more sustainable water management. This work has been published and can be accessed here: https://doi.org/10.1021/acs.iecr.5c00095.

The Research group of Dr. Auditya Sharma, Department of Physics and Dr. Ankur Raina, Department of Electrical Engineering and Computer Science developed a method to simulate Quantum mechanical phenomenon using Boson Sampling. Quantum simulation in its current state faces experimental overhead in terms of physical space and cooling. The authors propose boson sampling as an alternative compact synthetic platform performing at room temperature. Identifying the capability of estimating matrix permanents, the authors explore the applicability of boson sampling for tackling the dynamics of quantum systems without having access to information about the full state vector. By mapping the time-evolution unitary of a Hamiltonian onto an interferometer via continuous-variable gate decompositions, they present proof-of-principle results of localization characteristics of a single particle. The computational results obtained using boson sampling are in complete agreement with the dynamical and static results of noninteracting tight-binding systems obtained using conventional numerical calculations. The main work was carried out by Anuprita Kulkarni as part of her MS thesis. More details at journals.aps.org/pra/abstract/10.1103/PhysRevA.111.032622

The research group of Dr. Rohit Ranganathan Gaddam in the Department of Chemical Engineering developed a promising new material, NaFe2-xInx(PO4)(MoO4)2 (NFIPM), poised to advance sodium-ion battery (SIB) technology. By strategically substituting iron with indium in the NASICON-type structure, the team expanded the lattice spacing, creating faster sodium-ion pathways and slashing the energy barrier for ion migration-key hurdles in SIB efficiency. First-principles calculations confirmed enhanced Na? mobility, while magnetic and electron paramagnetic resonance studies revealed a higher iron spin state, stabilizing redox activity. The optimized NFIPM10 cathode delivers a robust specific capacity of 111.85 mAh g-1 at 0.1C and exceptional longevity, retaining performance over 800 cycles at 2C, a leap in durability for SIBs. In situ X-ray diffraction demonstrated reversible single-phase reactions during charging/discharging, avoiding structural degradation common in conventional cathodes. This innovation addresses SIB challenges of slow kinetics and poor cycle life, bolstering their viability for grid-scale energy storage. While indium’s scarcity poses scalability questions, its minimal yet strategic use here balances cost and performance. The study, published in Small, underscores the potential of atomic-level doping to unlock high-performance, sustainable batteries, accelerating the shift from lithium-dependent systems to affordable, eco-friendly alternatives for a renewable energy future. More details at https://onlinelibrary.wiley.com/doi/full/10.1002/smll.202501004

Dr. Mitradip Bhattacharjee’s [Department of Electrical Engineering and Computer Sciences] research group has developed a high-performance flexible sensing circular ring antenna designed for smart packaging applications. The antenna, which operates at approximately 3.9 GHz in the C-band, is fabricated on a polyethylene terephthalate (PET) substrate using a coplanar waveguide (CPW) feeding technique. It exhibits sensitivity to bending deformations, with frequency shifts and variations in return loss (S11) that allow for qualitative and quantitative strain measurements. The study records sensitivities of 8.25 and 7.37 for different longitudinal bending conditions and 16.8 and 15.22 for transverse and longitudinal packaging deformations. The antenna was successfully integrated into a smart chemical packaging system, detecting lateral and longitudinal bending deformations up to 1.5 cm with a resolution of 25 mm. The experimental results demonstrated that changes in S11 were more reliable for quantitative analysis, while frequency shifts could be used for qualitative detection. The paper also highlights the advantages of flexible antennas in IoT applications, wearable electronics, and structural health monitoring. The proposed antenna outperforms prior designs in terms of sensitivity and adaptability, making it a promising solution for real-world smart packaging and deformation monitoring applications. More details at https://ieeexplore.ieee.org/abstract/document/10740059

Dr. Mitradip Bhattacharjee’s [Department of Electrical Engineering and Computer Sciences] research group has developed and characterized a flexible and printed graphene field-effect biosensing (Gr-FET biosensor) platform to detect ferritin. The Gr-FET based biosensor demonstrates a stable transfer characteristic with Ag/AgCl gate. A significantly low gate leakage current of 0.06 % of the drain current is observed for this Gr-FET. Further, the proposed Gr-FET shows 1.5 - 3 times higher transconductance (gm) with a value of gm,hole up to 400 µS and gm,electron up to 250 µS, compared to the reported printed electrolyte-gated Gr-FET. The Gr-FET operation is also optimized to have a minimal hysteresis effect for reliable sensing operation. The Gr-FET shows considerably linear characteristics at a low ferritin concentration (0.05-0.5 µg/lt) with sensitivity as high as ~230 mV/(µg/lt) and a very low limit of detection (LOD) ~27 ng/lt. Given the cost-effective fabrication process and scalability, the proposed printed Gr-FET biosensor can be deployed on a large-scale for early diagnosis of iron deficiency anemia. More details at https://advanced.onlinelibrary.wiley.com/doi/full/10.1002/admt.202401292

Dr. Akshay Agarwal’s “Trustworthy BiometraVision Lab”, Department of Data Science and Engineering has developed a novel adversarial patch detector, AdvPatchXAI, that significantly strengthens modern security AI systems against physical adversarial threats. Adversarial patch attack is a process of adding a patch in an image that can fool any AI systems. Unlike conventional defenses, AdvPatchXAI employs a patch decorrelation strategy to reduce feature redundancy, enhancing robustness and interpretability. It excels at detecting and neutralizing unseen adversarial patches, even under corrupted conditions, thus aligning model decisions more closely with human perception. Additionally, its self-supervised approach provides clearer insights into how the model identifies threats. This groundbreaking work has been accepted for publication in the prestigious IEEE/CVF Computer Vision and Pattern Recognition (CVPR2025), marking a major step forward in securing AI systems. More details at https://tbvl22.github.io/website

Research group of Dr Dimpy Kalia, Department of Chemistry developed BHoPAL (Baylis Hillman orchestrated Protein Aminothiol Labelling) technology to link chemical tags to proteins for facilitating drug development.

Dr. Rohit Gaddam’s lab from Chemical Engineering Department as developed a novel sodium-ion battery (NIB) cathode material NaFe1.93Al0.07(PO4)(SO4) that outperforms current benchmarks in terms of energy density (372 Wh/Kg) and durability for such NASICON-type cathode.

On the journey toward sustainable energy and wastewater treatment, urea electrooxidation is paving the way to cleaner energy solutions. Research group of Dr Sankar Chakma, Department of Chemical Engineer , IISER Bhopal published the research entitled ‘Physical insight into the enhanced urea electrooxidation using Ni and Fe-based LDH, LDO, and hydroxides under different dissolved gas saturation conditions in electrolyte’ in International Journal of Hydrogen Energy (https://doi.org/10.1016/j.ijhydene.2024.08.380).

Recent collaborative research work carried out by Dr. Sankar Chakma, Chemical Engineering, IISER Bhopal and Dr. S K Sonkar (MNIT Jaipur) demonstrated the utilization of industrial waste as photocatalysts to produce carbonate to Acetic Acid under various monochromatic light sources.

IISER Bhopal secured research projects under National Quantum Mission funded by the Department of Science and Technology, India.