Kalyan Banerjee | Algebraic geometry | Best Researcher Award

Dr. Kalyan Banerjee | Algebraic Geometry | Best Researcher Award

Assistant Professor  at SRM University-AP, India

Dr. Kalyan Banerjee, currently an Assistant Professor at SRM University AP, is a dedicated researcher in algebraic geometry, arithmetic geometry, and algebraic cycles. With a Ph.D. from the University of Liverpool and an M.Math from the Indian Statistical Institute, Bangalore, he has established a strong academic foundation. His research has been published in reputed journals like International Journal of Mathematics and Sbornik Mathematics, and he has contributed significantly to topics such as Chow groups and Bloch’s conjecture. Dr. Banerjee has held several prestigious postdoctoral positions and delivered invited talks at renowned institutions including TIFR, ISI, and IISER. His work reflects deep theoretical insight and consistent scholarly output. While his contributions are highly specialized, increasing interdisciplinary collaborations and securing research grants could further elevate his profile. Overall, Dr. Banerjee stands out as a highly suitable candidate for the Best Researcher Award, with a solid track record of academic excellence and impactful research.

Professional Profile 

Education🎓

Dr. Kalyan Banerjee has a strong and diverse academic background in mathematics. He began his education at Uttarpara Government High School in West Bengal, where he excelled in both his 10th and 12th standard board examinations. He earned his B.Sc. (Honours) in Mathematics from St. Xavier’s College, Kolkata, graduating with first-class distinction. He then pursued a Master’s in Mathematics (M.Math) from the Indian Statistical Institute (ISI), Bangalore—one of India’s most prestigious institutions for mathematical sciences—where he completed the program with first-division marks. Dr. Banerjee further advanced his academic journey by earning a Ph.D. in Mathematics from the University of Liverpool, UK, under the supervision of Dr. Vladimir Guletskii. His doctoral research focused on one-dimensional algebraic cycles on non-singular cubic fourfolds in projective space, showcasing his expertise in algebraic geometry. His well-rounded and rigorous academic training has laid a solid foundation for his research career in pure mathematics.

Professional Experience📝

Dr. Kalyan Banerjee has amassed rich professional experience across some of the most prestigious academic and research institutions in India and abroad. He is currently serving as an Assistant Professor (Grade 2) at SRM University AP. Prior to this, he held the position of Assistant Professor (Senior Grade 1) at VIT Chennai from 2021 to 2023. His postdoctoral journey includes research fellowships at premier institutes such as the Harish-Chandra Research Institute (HRI), Allahabad; the Institute of Mathematical Sciences (IMSc), Chennai; and the Indian Statistical Institute (ISI), Bangalore. He also held a visiting fellow position at the Tata Institute of Fundamental Research (TIFR), Mumbai, and a postdoctoral research associate role at IISER Mohali. In each of these roles, Dr. Banerjee actively contributed to advanced mathematical research, academic collaboration, and knowledge dissemination. His professional trajectory reflects his commitment to academic excellence and his deep involvement in advancing the field of algebraic geometry.

Research Interest🔎

Dr. Kalyan Banerjee’s research interests lie at the intersection of algebraic geometry, arithmetic geometry, and differential geometry, with a particular focus on the theory of algebraic cycles. His work explores deep mathematical structures, including Chow groups, Selmer groups, and the Bloch’s conjecture, contributing significantly to the understanding of rational equivalence and cycle-theoretic properties of algebraic varieties. Dr. Banerjee is especially interested in the behavior of algebraic cycles on complex projective varieties such as cubic fourfolds and their Fano varieties. His investigations often involve advanced techniques in both classical and modern algebraic geometry, and he has developed insightful results on topics like push-forward homomorphisms, Chow schemes, and Picard groups. Through his work, he aims to unravel the intricate relationships between geometry, number theory, and topology. His contributions not only deepen theoretical knowledge but also lay the groundwork for future exploration in pure mathematics and its implications in related fields.

Award and Honor🏆

Dr. Kalyan Banerjee has been recognized for his scholarly achievements through various prestigious academic appointments and invited engagements. While formal awards are not explicitly listed, his professional journey itself reflects significant academic honor. He has been invited to deliver talks and lectures at premier institutions such as the Tata Institute of Fundamental Research (TIFR), Indian Statistical Institute (ISI), Indian Institutes of Science Education and Research (IISER), and the Chennai Mathematical Institute (CMI). These invitations highlight the high regard the academic community holds for his expertise in algebraic geometry. He has also participated in international conferences and workshops, including the GLEN meeting and workshops at the University of Edinburgh. His selection for multiple competitive postdoctoral fellowships at institutions like HRI, IISER, and IMSc further demonstrates peer recognition of his research excellence. These achievements collectively underline his impact and reputation within the mathematical research community, making him a respected figure in his field.

Research Skill🔬

Dr. Kalyan Banerjee possesses advanced research skills in pure mathematics, with a specialization in algebraic geometry, arithmetic geometry, and the theory of algebraic cycles. His expertise lies in formulating and solving complex mathematical problems related to Chow groups, Selmer groups, and rational equivalence, using both classical and modern algebraic techniques. He demonstrates strong analytical abilities in dealing with abstract mathematical structures and shows proficiency in working with advanced theoretical tools such as étale cohomology, Lefschetz fibrations, and push-forward homomorphisms. Dr. Banerjee is highly skilled in producing original research, as evidenced by his numerous publications in peer-reviewed journals and several high-level preprints. His ability to clearly present complex mathematical ideas in seminars and conferences also reflects his strong communication and academic writing skills. Furthermore, his collaborative work with leading mathematicians and experience across top research institutions underline his capability to conduct high-level, independent, and impactful mathematical research.

Conclusion💡

Dr. Kalyan Banerjee is a strong and suitable candidate for the Best Researcher Award—especially in the pure mathematics and algebraic geometry domain.

His academic pedigree, focused research output, international collaborations, and consistent publication record establish him as a dedicated and impactful scholar. However, supplementing his research with broader outreach, grant-winning activities, or interdisciplinary collaborations could further enhance his candidacy.

Publications Top Noted✍️

  • Title: Rational equivalence for line configurations on cubic hypersurfaces in P⁵

    • Authors: K. Banerjee, V. Guletskii

    • Year: 2014

    • Citations: 21

  • Title: Étale monodromy and rational equivalence for 1-cycles on cubic hypersurfaces in P⁵

    • Authors: K. Banerjee, V. Guletskii

    • Year: 2014

    • Citations: 8

  • Title: One-dimensional algebraic cycles on nonsingular cubic fourfolds in P⁵

    • Authors: K. Banerjee

    • Year: 2014

    • Citations: 5

  • Title: On the closed embedding of the product of theta divisors into product of Jacobians and Chow groups

    • Authors: K. Banerjee

    • Year: 2018

    • Journal: International Journal of Mathematics, Vol. 29 (03), 1850021

    • Citations: 4

  • Title: Bloch’s conjecture on surfaces of general type with an involution

    • Authors: K. Banerjee

    • Year: 2017

    • Citations: 4

  • Title: Blow ups and base changes of symmetric powers and Chow groups

    • Authors: K. Banerjee

    • Year: 2016

    • Citations: 3

  • Title: Steganographic Encryption of Shares into GIFs for Enhanced Security

    • Authors: S.V. Gade, K. Kondapaneni, A. Chavala, A. Behera, S. Ghatak, K. Banerjee

    • Year: 2024

    • Conference: 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)

    • Citations: 1

  • Title: Pushforwards of Chow groups of smooth ample divisors, with an emphasis on Jacobian varieties

    • Authors: K. Banerjee, J.N.N. Iyer, J.D. Lewis

    • Year: 2022

    • Journal: Mathematische Nachrichten, Vol. 295 (12), 2301–2317

    • Citations: 1

  • Title: On finite dimensionality of Chow groups

    • Authors: K. Banerjee

    • Year: 2021

    • Journal: Beiträge zur Algebra und Geometrie

    • Citations: 1

  • Title: Divisibility of Selmer groups and class groups

    • Authors: K. Banerjee, K. Chakraborty, A. Hoque

    • Year: 2020

    • Journal: Hardy-Ramanujan Journal, Vol. 42

    • Citations: 1

  • Title: Tate-Shafarevich group and Selmer group constructions for Chow group of an abelian variety

    • Authors: K. Banerjee, K. Chakraborty

    • Year: 2019

    • Citations: 1

  • Title: Algebraic cycles on the Fano variety of lines of a cubic fourfold

    • Authors: K. Banerjee

    • Year: 2016

    • Citations: 1

 

Mohammad Shifat-E-Rabbi | Mathematical Modeling | Best Researcher Award

Dr. Mohammad Shifat-E-Rabbi | Mathematical Modeling | Best Researcher Award

Assistant Professor at North South University, Bangladesh

Dr. Mohammad Shifat-E-Rabbi is an Assistant Professor in the Department of Electrical and Computer Engineering at North South University, Bangladesh. He earned his Ph.D. in Biomedical Engineering from the University of Virginia, where his dissertation, “Transport Generative Models in Pattern Analysis and Recognition,” focused on developing mathematical and computational frameworks for artificial intelligence and machine learning. Dr. Shifat-E-Rabbi’s research interests include applied mathematics, machine learning, image informatics, computational biology, and pattern recognition. He has contributed to various publications, such as “End-to-End Signal Classification in Signed Cumulative Distribution Transform Space” in IEEE Transactions on Pattern Analysis and Machine Intelligence. At North South University, he teaches courses in Artificial Intelligence, Machine Learning, and programming languages. His academic journey began with a B.Sc. in Electrical and Electronic Engineering from the Bangladesh University of Engineering and Technology.

Professional Profile 

  • Google Scholar
  • Scopus Profile
  • ORCID Profile

Education

Dr. Mohammad Shifat-E-Rabbi’s educational journey began at Rangpur Zilla School and Rangpur Cadet College in Bangladesh. He earned his B.Sc. in Electrical and Electronic Engineering from the Bangladesh University of Engineering and Technology (BUET) in 2015. He then pursued his Ph.D. in Biomedical Engineering at the University of Virginia (UVa), USA, focusing on Pattern Analysis and Recognition within the Imaging and Data Science Laboratory. His dissertation, titled “Transport Generative Models in Pattern Analysis and Recognition,” centered on developing mathematical and computational frameworks for artificial intelligence and machine learning. During his doctoral studies, Dr. Shifat-E-Rabbi served as a research assistant under the supervision of Prof. Gustavo Rohde.

Professional Experience

Dr. Mohammad Shifat-E-Rabbi is an Assistant Professor in the Department of Electrical and Computer Engineering at North South University, Bangladesh. He earned his Ph.D. in Biomedical Engineering from the University of Virginia, USA, where he specialized in Pattern Analysis and Recognition within the Imaging and Data Science Laboratory. During his doctoral studies, Dr. Shifat-E-Rabbi served as a research assistant under the supervision of Prof. Gustavo Rohde. Prior to his Ph.D., he completed his B.Sc. in Electrical and Electronic Engineering at the Bangladesh University of Engineering and Technology (BUET) in 2015. At BUET, he was involved in the Digital Signal Processing research lab. Dr. Shifat-E-Rabbi’s research interests encompass applied mathematics, machine learning, image informatics, computational biology, and pattern recognition. In his current role, he teaches courses in Artificial Intelligence, Machine Learning, and programming languages. His academic journey began at Rangpur Zilla School and Rangpur Cadet College in Bangladesh.

Research Interest

Dr. Mohammad Shifat-E-Rabbi’s research interests encompass applied mathematics, machine learning, image informatics, computational biology, and pattern recognition. He has contributed to the development of the Radon Signed Cumulative Distribution Transform (R-CDT) and its applications in classifying signed images. Additionally, he has worked on predictive modeling of hematoma expansion in intracerebral hemorrhage patients and the real-time intelligent classification of COVID-19 and thrombosis through massive image-based analysis of platelet aggregates. Dr. Shifat-E-Rabbi has also explored transport-based morphometry for analyzing nuclear structures in digital pathology images across various cancers. His work aims to bridge theoretical advancements with practical applications, enhancing the understanding and analysis of complex biological and medical data.

Award and Honor

Dr. Mohammad Shifat-E-Rabbi has been recognized for his significant contributions to the fields of artificial intelligence and machine learning. His collaborative research on “End-to-End Signal Classification in Signed Cumulative Distribution Transform Space” was published in the prestigious IEEE Transactions on Pattern Analysis and Machine Intelligence. This work, conducted alongside colleagues from the University of Virginia, received support from esteemed institutions such as the National Institutes of Health and the Office of Naval Research, underscoring its impact and importance.

Research Skill

Dr. Mohammad Shifat-E-Rabbi possesses a robust set of research skills that bridge applied mathematics, machine learning, and computational biology. His expertise includes developing mathematical models and computational frameworks, notably in pattern recognition and image informatics. Dr. Shifat-E-Rabbi has contributed to the advancement of the Radon Cumulative Distribution Transform (R-CDT), enhancing image classification techniques. His collaborative work on “End-to-End Signal Classification in Signed Cumulative Distribution Transform Space” exemplifies his ability to integrate theoretical concepts with practical applications, leading to more efficient signal classification methods. His research portfolio demonstrates proficiency in handling complex datasets, developing innovative algorithms, and applying interdisciplinary approaches to solve real-world problems. Dr. Shifat-E-Rabbi’s commitment to advancing artificial intelligence and machine learning is evident through his scholarly publications and ongoing projects.

Conclusion

If the researcher has made significant contributions through innovation, publications, and demonstrated impact, they would be a strong candidate for the Best Researcher Award. However, if the research is still in its early stages or lacks broader validation, additional work on practical applications, benchmarking, and interdisciplinary collaborations could further strengthen their case.

Publications Top Noted

  • Massive image-based single-cell profiling reveals high levels of circulating platelet aggregates in patients with COVID-19

    • Authors: M. Nishikawa, H. Kanno, Y. Zhou, T.H. Xiao, T. Suzuki, Y. Ibayashi, J. Harmon, M. Shifat-E-Rabbi, et al.
    • Published in: Nature Communications
    • Year: 2021
    • Citations: 71
  • Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning

    • Authors: S. Kundu, B.G. Ashinsky, M. Bouhrara, E.B. Dam, S. Demehri, M. Shifat-E-Rabbi, et al.
    • Published in: Proceedings of the National Academy of Sciences
    • Year: 2020
    • Citations: 57
  • Cell image classification: a comparative overview

    • Authors: M. Shifat-E-Rabbi, X. Yin, C.E. Fitzgerald, G.K. Rohde
    • Published in: Cytometry Part A
    • Year: 2020
    • Citations: 39
  • Radon cumulative distribution transform subspace modeling for image classification

    • Authors: M. Shifat-E-Rabbi, X. Yin, A.H.M. Rubaiyat, S. Li, S. Kolouri, A. Aldroubi, G.K. Rohde
    • Published in: Journal of Mathematical Imaging and Vision
    • Year: 2021
    • Citations: 28
  • PREHEAT: Precision heart rate monitoring from intense motion artifact corrupted PPG signals using constrained RLS and wavelets

    • Authors: M.S. Islam, M. Shifat-E-Rabbi, A.M.A. Dobaie, M.K. Hasan
    • Published in: Biomedical Signal Processing and Control
    • Year: 2017
    • Citations: 26
  • Blind Deconvolution of Ultrasound Images Using ℓp\ell_p-Norm-Constrained Block-Based Damped Variable Step-Size Multichannel LMS Algorithm

    • Authors: M.K. Hasan, M. Shifat-E-Rabbi, S.Y. Lee
    • Published in: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    • Year: 2016
    • Citations: 12
  • Local sliced Wasserstein feature sets for illumination invariant face recognition

    • Authors: Y. Zhuang, S. Li, M. Shifat-E-Rabbi, X. Yin, A.H.M. Rubaiyat, G.K. Rohde
    • Published in: Pattern Recognition
    • Year: 2025
    • Citations: 10
  • End-to-end signal classification in signed cumulative distribution transform space

    • Authors: A.H.M. Rubaiyat, S. Li, X. Yin, M. Shifat-E-Rabbi, Y. Zhuang, G.K. Rohde
    • Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence
    • Year: 2024
    • Citations: 9
  • Nearest Subspace Search in The Signed Cumulative Distribution Transform Space for 1D Signal Classification

    • Authors: A.H.M. Rubaiyat, M. Shifat-E-Rabbi, Y. Zhuang, S. Li, G.K. Rohde
    • Published in: IEEE International Conference on Acoustics, Speech and Signal Processing
    • Year: 2022
    • Citations: 9
  • Speckle tracking and speckle content based composite strain imaging for solid and fluid filled lesions

    • Authors: M. Shifat-E-Rabbi, M.K. Hasan
    • Published in: Ultrasonics
    • Year: 2017
    • Citations: 9