Tag: Scientific Computing Award

Ferdib Al Islam | Computer Science | Research Excellence Award

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Mr. Ferdib Al Islam | Computer Science | Research Excellence Award

Northern University of Business and Technology Khulna | Bangladesh

Ferdib-Al-Islam is an Assistant Professor of Computer Science and Engineering at Northern University of Business and Technology Khulna, Bangladesh. He holds an M.Sc. and B.Sc. in CSE and has extensive academic and industrial experience spanning software engineering, IoT, and applied artificial intelligence. His research expertise centers on machine learning, deep learning, explainable AI, large language models, computer vision, and multimodal fusion, with a strong emphasis on trustworthy and interpretable AI for healthcare, agriculture, and smart systems. He has authored 30+ peer-reviewed journal and conference publications, including articles in Springer, IEEE, ACM, and Scopus-indexed journals, and has received multiple best paper and gold awards. An active international collaborator and reviewer for leading journals, he contributes to societal impact through AI-driven healthcare diagnostics, smart farming, and assistive technologies.

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Featured Publications

Islam, Md. Rabiul; Godder, T. K.; Ul-Ambia, A.; Ferdib Al-Islam et al. (2025).
Ensemble model-based arrhythmia classification with local interpretable model-agnostic explanations. IAES International Journal of Artificial Intelligence (IJ-AI), Vol. 14, No. 3 • DOI: 10.11591/ijai.v14.i3.pp2012-2025

Akter, L.; Ferdib Al-Islam; Islam, Md. M.; Al-Rakhami, M. S.; Haque, Md. R. (2021).
Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques. SN Computer Science, Vol. 2, No. 3 • DOI: 10.1007/s42979-021-00551-6

Saha, P.; Sadi, M. S.; Aranya, O. F. M. R. R.; Jahan, S.; Al-Islam, F. (2021).
COV-VGX: An automated COVID-19 detection system using X-ray images and transfer learning. Informatics in Medicine Unlocked, Vol. 26 • DOI: 10.1016/j.imu.2021.100741

Rana, Md. M. R.; Adnan, Md. N.; Siddique, Md. M.; Rahman, Md. T.; Ferdib Al-Islam (2024).
Predicting Education Level of the Farmers’ Children of a Developing Country during COVID-19 Using Machine Learning. International Journal of Modern Education and Computer Science (IJMECS), Vol. 16, No. 6 • DOI: 10.5815/ijmecs.2024.06.07

Hossain, S. S.; F. Al-Islam; Islam, Md. R.; Rahman, S.; Parvej, Md. S. (2025).
Autism Spectrum Disorder Identification from Facial Images Using Fine-Tuned Pre-trained Deep Learning Models and Explainable AI Techniques. Semarak International Journal of Applied Psychology, Vol. 5, No. 1, pp. 29–53

Chengjie Li | Computer Science | Innovative Research Award

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Prof. Chengjie Li | Computer Science | Innovative Research Award

Southwest Minzu University | China

Chengjie Li is an Associate Professor and Ph.D. candidate at the School of Computer Science and Technology, Southwest Minzu University, China, and a postdoctoral researcher at the University of Electronic Science and Technology of China. He has also served as a senior visiting scholar at the University of Liverpool, UK. His research expertise lies in information security, intelligent information processing, anti-interference communications, and modern signal processing. Dr. Li has published over 50 peer-reviewed papers, with more than 40 indexed by SCI/EI, and authored two textbooks for graduate and undergraduate education. He has led or participated in multiple national and provincial projects and holds several national patents. His work has received major science and technology awards and contributes to secure communications, satellite systems, and next-generation network resilience.

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Abhishek Jha| Pharmacology | Best Researcher Award

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Mr. Abhishek Jha|Pharmacology|Best Researcher Award

Mr. Abhishek Jha, Dr. D. Y. Patil Institute of Pharmaceutical Sciences and Research, India.

Abhishek Jha is a final-year doctoral candidate at the Indian Institute of Technology (BHU), Varanasi, specializing in Pharmaceutical Engineering and Technology. His research focuses on developing nanomedicine-based therapeutic strategies, particularly for breast and lung cancer treatments. Abhishek has hands-on experience with a range of sophisticated instruments, including HPLC, SEM, and fluorescence microscopy, and is proficient in various software used for data analysis and drug formulation. He has contributed to multiple high-impact publications in areas such as targeted drug delivery, nanofiber-based wound healing, and tuberculosis therapy. His projects involve innovative approaches, including redox-responsive nanocarriers and pulmonary nanocrystals, aimed at improving the efficacy and specificity of cancer treatments. With a passion for research and mentoring, Abhishek has guided several undergraduate and postgraduate students. His work, recognized in peer-reviewed journals, reflects his commitment to advancing pharmaceutical sciences, making him a strong contender for research excellence awards.

Profile

Education

Abhishek Jha is a dedicated scholar with a robust educational background in pharmaceutical sciences. He is currently pursuing a Ph.D. in Pharmaceutical Engineering and Technology at the prestigious Indian Institute of Technology (IIT-BHU), Varanasi. His doctoral research, initiated in July 2019, focuses on innovative strategies for nanomedicine-based treatments for breast cancer, with a particular emphasis on tumor-targeted drug delivery systems. Prior to this, Abhishek earned his Master of Pharmacy (M.Pharm) from the same institution in June 2019, specializing in Pharmaceutics. During his postgraduate studies, he achieved an impressive C.G.P.A. of 9.43, showcasing his academic excellence. His foundation in the field was laid during his Bachelor of Pharmacy (B.Pharm) studies at KIET School of Pharmacy, affiliated with AKTU, Ghaziabad, where he graduated with a strong 85.8% in 2017. Abhishek’s education reflects his deep commitment to pharmaceutical research and innovation, laying the groundwork for his promising career in academia and industry.

Professional Experience

Abhishek Jha is a Senior Research Fellow at the Indian Institute of Technology (BHU), Varanasi, where he has been working since July 2019. He is currently pursuing his doctoral degree under the supervision of Prof. Brahmeshwar Mishra, focusing on developing nanomedicine-based strategies for breast cancer therapy. His research includes creating redox-responsive, self-assembled systems for targeted drug delivery and localized breast cancer treatments using dissolving microneedles. Abhishek has extensive experience in the development of nanofibrous matrices for wound healing and tissue regeneration, and has mentored over 20 M. Tech and B. Tech students. Prior to his doctoral research, he worked as a Post-graduate Research Scholar at IIT (BHU) from January 2018 to June 2019, where he gained expertise in fabricating polymeric nanoparticles, micelles, liposomes, and hydrogels, and optimized various disease models for lung and breast cancer, diabetes, and infections in rats, applying QbD approaches for formulation optimization.

Research Interest

Abhishek Jha’s research interests lie at the intersection of pharmaceutical sciences and nanomedicine, focusing on innovative drug delivery systems for targeted cancer therapies. His work emphasizes the development of nanocarriers that enhance the selective accumulation of therapeutics in tumor sites, particularly in the treatment of breast and lung cancers. Jha is particularly skilled in designing redox-responsive self-assembled systems and microneedle technologies to facilitate localized drug delivery. Additionally, he investigates nanofibrous scaffolds with wound healing and anti-infective properties, aiming to improve patient outcomes in chronic diabetic wounds. His extensive experience in formulating various nanomedicines, including polymeric nanoparticles, liposomes, and hydrogels, showcases his commitment to advancing drug delivery approaches. Through his research, Jha aims to contribute significantly to the fields of pharmaceutics and biomedical engineering, ultimately improving therapeutic efficacy and patient care in complex disease management.

Research Skills

Abhishek Jha possesses a robust set of research skills that significantly contribute to his expertise in pharmaceutical engineering and technology. His hands-on experience with sophisticated instruments such as High-Performance Liquid Chromatography, Electron Microscopes, and Atomic Force Microscopes demonstrates his proficiency in advanced analytical techniques. Abhishek’s adeptness in interpreting various spectra for drug characterization, including Differential Scanning Calorimetry and Nuclear Magnetic Resonance spectroscopy, showcases his comprehensive understanding of pharmaceutical formulations. He has successfully developed nanomedicine-based strategies for cancer treatment, exhibiting strong problem-solving skills and innovative thinking. His involvement in mentoring over 20 M. Tech and B. Tech students highlights his leadership abilities and commitment to collaborative research. Additionally, Abhishek’s proficiency in software tools like JMP and Minitab enhances his capacity for data analysis and interpretation. Overall, his combination of technical expertise, mentoring experience, and analytical skills positions him as a valuable asset in the field of pharmaceutical research.

Award and Recognition

Abhishek Jha, a promising final-year doctoral candidate at the Indian Institute of Technology (BHU), Varanasi, has garnered notable recognition for his innovative research in pharmaceutical engineering and drug delivery systems. His work on developing nanomedicine-based strategies for breast cancer treatment has been published in prestigious journals, earning him accolades in the scientific community. Abhishek’s contributions include developing targeted therapies and biomaterials for chronic wound healing, showcasing his commitment to addressing complex medical challenges. He has actively engaged in mentoring over 20 undergraduate and graduate students, reflecting his dedication to fostering the next generation of researchers. His publications in high-impact journals, alongside collaborations with esteemed institutions, further underscore his reputation as a rising star in pharmaceutical sciences. Abhishek’s achievements have not only positioned him as a thought leader in his field but also earned him recognition within academic circles for his innovative approach to drug delivery and cancer therapy.

Conclusion

Abhishek Jha is a highly capable researcher with exceptional skills in nanomedicine and drug delivery systems. His academic excellence, technical proficiency, and extensive publication record position him as a strong contender for the Best Researcher Award. By broadening his research scope and further engaging with industry and public platforms, he could reach new heights in his career, making him a well-deserved candidate for recognition in his field.

Publication Top Notes

  • Electrospun nanofiber-based drug delivery platform: advances in diabetic foot ulcer management
    DR Madhukiran, A Jha, M Kumar, G Ajmal, GV Bonde, B Mishra
    Expert Opinion on Drug Delivery 18 (1), 25-42, 2021.
  • Targeted drug nanocrystals for pulmonary delivery: a potential strategy for lung cancer therapy
    M Kumar, A Jha, M Dr, B Mishra
    Expert Opinion on Drug Delivery 17 (10), 1459-1472, 2020.
  • Mannose receptor targeted bioadhesive chitosan nanoparticles of clofazimine for effective therapy of tuberculosis
    DM Pawde, MK Viswanadh, AK Mehata, R Sonkar, S Poddar, AS Burande, …
    Saudi Pharmaceutical Journal 28 (12), 1616-1625, 2020.
  • DNA biodots based targeted theranostic nanomedicine for the imaging and treatment of non-small cell lung cancer
    A Jha, MK Viswanadh, AS Burande, AK Mehata, S Poddar, K Yadav, …
    International Journal of Biological Macromolecules 150, 413-425, 2020.
  • Gold liposomes for brain-targeted drug delivery: Formulation and brain distribution kinetics
    R Sonkar, A Jha, MK Viswanadh, AS Burande, DM Pawde, KK Patel, …
    Materials Science and Engineering: C 120, 111652, 2021.
  • Novel redox-sensitive thiolated TPGS based nanoparticles for EGFR targeted lung cancer therapy
    MK Viswanadh, N Agrawal, S Azad, A Jha, S Poddar, SK Mahto, …
    International Journal of Pharmaceutics 602, 120652, 2021.
  • Formulation and In Vivo Efficacy Study of Cetuximab Decorated Targeted Bioadhesive Nanomedicine for Non-Small-Cell Lung Cancer Therapy
    MK Viswanadh, Vikas, A Jha, SK Reddy Adena, AK Mehata, V Priya, …
    Nanomedicine 15 (24), 2345-2367, 2020.
  • Treatment of H. pylori infection and gastric ulcer: Need for novel Pharmaceutical formulation
    A Gupta, S Shetty, S Mutalik, K Nandakumar, EM Mathew, A Jha, B Mishra, …
    Heliyon 9 (10), 2023.
  • Nanocarriers for tuberculosis therapy: design of safe and effective drug delivery strategies to overcome the therapeutic challenges
    K Sarkar, M Kumar, A Jha, K Bharti, M Das, B Mishra
    Journal of Drug Delivery Science and Technology 67, 102850, 2022.
  • Advances in lipid-based pulmonary nanomedicine for the management of inflammatory lung disorders
    M Kumar, A Jha, K Bharti, G Parmar, B Mishra
    Nanomedicine 17 (12), 913-934, 2022.
  • Myricetin encapsulated chitosan nanoformulation for management of type 2 diabetes: preparation, optimization, characterization and in vivo activity
    M Upadhyay, RV Hosur, A Jha, K Bharti, PS Mali, AK Jha, B Mishra, …
    Biomaterials Advances 153, 213542, 2023.
  • DNA-Based Nanostructured Platforms as Drug Delivery Systems
    M Kumar, A Jha, B Mishra
    Chem & Bio Engineering 1 (3), 179-198, 2024.
  • Enhanced in vitro therapeutic efficacy of triphenyltin (IV) loaded vitamin E TPGS against breast cancer therapy
    M Singh, NK Rana, MS Muthu, A Jha, TSB Baul, B Koch
    Materials Today Communications 31, 103256, 2022.
  • Biopolymer-based tumor microenvironment-responsive nanomedicine for targeted cancer therapy
    A Jha, M Kumar, K Bharti, M Manjit, B Mishra
    Nanomedicine 19 (7), 633-651, 2024.
  • Fabrication of gelatin coated polycaprolactone nanofiber scaffolds co-loaded with luliconazole and naringenin for treatment of Candida infected diabetic wounds
    M Manjit, K Kumar, M Kumar, A Jha, K Bharti, P Tiwari, R Tilak, V Singh, …
    International Journal of Biological Macromolecules 261, 129621, 2024.
  • Formulation and characterization of polyvinyl alcohol/chitosan composite nanofiber co-loaded with silver nanoparticle & luliconazole encapsulated poly lactic-co-glycolic acid …
    M Manjit, M Kumar, A Jha, K Bharti, K Kumar, P Tiwari, R Tilak, V Singh, …
    International Journal of Biological Macromolecules 258, 128978, 2024.
  • Marine biopolymers for transdermal drug delivery
    M Kumar, A Jha, B Mishra
    Marine Biomaterials: Drug Delivery and Therapeutic Applications, 157-207, 2022.
  • Marine Biopolymer-Based Anticancer Drug Delivery Systems
    A Jha, M Kumar, B Mishra
    Marine Biomaterials: Drug Delivery and Therapeutic Applications, 351-401, 2022.
  • Metronidazole Loaded Polycaprolactone-Carbopol Blends Based Biodegradable Intrapocket Dental Film for Local Treatment of Periodontitis
    N Dhedage, G Khan, G Ajmal, M Kumar, A Jha, B Mishra
    Drug Delivery Letters 11 (1), 34-43, 2021.
  • Lipid-coated nanocrystals of paclitaxel as dry powder for inhalation: Characterization, in-vitro performance, and pharmacokinetic assessment
    M Kumar, A Jha, K Bharti, M Manjit, P Kumbhar, V Dhapte-Pawar, …
    Colloids and Surfaces B: Biointerfaces 237, 113865, 2021.

Tamal Pramanick | Scientific Computing |Best Researcher Award

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Assist Prof Dr. Tamal Pramanick | Scientific Computing |Best Researcher Award

Assist Prof Dr/Tamal Pramanick, National Institute of Technology (NIT) Calicut, India.

Dr. Tamal Pramanick is an Assistant Professor in the Department of Mathematics at NIT Calicut, specializing in numerical methods for partial differential equations, particularly finite element methods. He holds a PhD from IIT Guwahati, where his research focused on the development of two-scale composite finite element methods for parabolic problems in convex and nonconvex polygonal domains. Dr. Pramanick has received several prestigious fellowships, including the NBHM Post-Doctoral Fellowship at IISc Bangalore. His research has been published in numerous SCI-indexed journals, and he has been an invited speaker at international conferences. Dr. Pramanick is actively involved in guiding postgraduate dissertations and organizing academic events such as workshops and webinars. He has also secured research grants for projects on fractional order diffusion equations and nonlinear thermistor equations. His contributions to applied mathematics and his role in fostering academic collaboration make him a distinguished scholar in his field.

Profile

Education

The educational journey began with a Secondary education from the West Bengal Board of Secondary Education in 2006, achieving a percentage of 71.38%. Following that, Higher Secondary education was completed from the West Bengal Council of Higher Secondary Education in 2008, with a percentage of 70.29%. The pursuit of higher education continued with a B.Sc. in Mathematics from the University of Kalyani, West Bengal, from 2008 to 2011, securing a percentage of 70.75%. This was followed by an M.Sc. in Mathematics & Computing from the Indian Institute of Technology (IIT) Guwahati, where the candidate achieved a CPI of 8.23 from 2011 to 2013. The academic path culminated in a Ph.D. from IIT Guwahati, awarded on February 25, 2019, with a CPI of 8.25 for the coursework, focusing on “Two-Scale Composite Finite Element Method for Parabolic Problems in Convex and Nonconvex Polygonal Domains.”

Professional Experience

Dr. Tamal Pramanick is an accomplished Assistant Professor in the Department of Mathematics at NIT Calicut, serving since March 2020. He has a rich background in applied mathematics, with expertise in finite element methods and their applications in solving complex mathematical problems. Dr. Pramanick completed his PhD from the Indian Institute of Technology Guwahati in 2019, focusing on two-scale composite finite element methods for parabolic problems in convex and nonconvex domains. He has held a prestigious post-doctoral fellowship from the National Board of Higher Mathematics (NBHM) at IISc Bangalore. His professional contributions include serving as a reviewer, PhD selection committee member, course coordinator, and departmental seminar coordinator at NIT Calicut. Dr. Pramanick has led several research projects sponsored by national agencies and organized numerous conferences, workshops, and faculty development programs. His work is published in reputed journals, and he regularly delivers invited talks at international conferences and workshops.

Research Interest

Dr. Tamal Pramanick’s research interests lie in the field of applied mathematics, with a focus on numerical methods for solving partial differential equations, particularly the Finite Element Method (FEM) and its applications. His work explores the development and analysis of two-scale composite finite element methods for complex parabolic and elliptic problems in convex and nonconvex polygonal domains. Dr. Pramanick is particularly interested in improving the accuracy and efficiency of numerical solutions for nonlinear and semilinear parabolic equations, with applications spanning diverse fields such as thermistor equations, heat transfer, and diffusion processes. His research also extends to fractional order diffusion equations and mathematical modeling of physical systems. Through his interdisciplinary approach, Dr. Pramanick aims to contribute to advancements in computational mathematics and its practical applications in engineering, physics, and other sciences, making his work highly relevant to both academic research and industrial problem-solving.

Research Skills

Dr. Tamal Pramanick is a proficient researcher specializing in applied mathematics, particularly in the finite element method for complex problems in nonconvex polygonal domains. His expertise spans numerical analysis, mathematical modeling, and the development of error estimates for nonlinear parabolic equations. Dr. Pramanick has demonstrated advanced skills in multi-scale composite finite element methods, with significant contributions to solving fractional-order diffusion equations and semilinear parabolic problems. His research includes high-level computational simulations and analytical techniques for addressing real-world mathematical challenges. He has successfully secured research funding for multiple projects, including Faculty Research Seed Grants and prestigious National Board of Higher Mathematics (NBHM) projects. Additionally, Dr. Pramanick’s experience extends to guiding postgraduate dissertations on topics like heat equations and delay differential equations, while his prolific publications in SCI-indexed journals further attest to his research caliber. His role as an invited speaker and coordinator for various academic events reflects his strong leadership and collaborative research capabilities

Award and Recognition

Dr. Tamal Pramanick, an accomplished Assistant Professor at NIT Calicut, has received multiple awards and recognition for his outstanding contributions to mathematics and computational science. He qualified the prestigious Joint Admission Test for M.Sc. (JAM) in 2011 and the Graduate Aptitude Test in Engineering (GATE) in 2013, both in Mathematics. During his academic journey at IIT Guwahati, he was a recipient of the Merit cum Means Scholarship and awarded Junior and Senior Research Fellowships (JRF and SRF) from 2013 to 2018. In 2019, Dr. Pramanick achieved the National Eligibility Test (NET) for Lectureship and was selected for the National Board of Higher Mathematics (NBHM) Postdoctoral Fellowship. His innovative research has earned him prestigious grants, including a Faculty Research Seed Grant and NBHM-funded projects, advancing his work in finite element methods and nonlinear equations. His invited talks at international conferences further highlight his scholarly impact on the global stage.

Conclusion

 Dr. Tamal Pramanick is a highly qualified candidate with a solid track record of research, teaching, and leadership. His achievements in securing grants, organizing academic programs, and contributing to mathematical research through high-impact publications position him as a strong contender for the Best Researcher Award. With minor improvements in international collaboration and interdisciplinary research, his candidacy would be even stronger.

Publication Top Notes

  • Error estimates for two-scale composite finite element approximations of parabolic equations with measure data in time for convex and nonconvex polygonal domains

Authors: T. Pramanick, R.K. Sinha

Citation: Applied Numerical Mathematics, 143, 112-132

Year: 2019

  • Two-scale composite finite element method for parabolic problems with smooth and nonsmooth initial data

Authors: T. Pramanick, R.K. Sinha

Citation: Journal of Applied Mathematics and Computing, 58, 469-501

Year: 2018

  • A hybrid high-order method for quasilinear elliptic problems of nonmonotone type

Authors: T. Gudi, G. Mallik, T. Pramanick

Citation: SIAM Journal on Numerical Analysis, 60(4), 2318-2344

Year: 2022

  • Composite Finite Element Approximation for Parabolic Problems in Nonconvex Polygonal Domains

Authors: T. Pramanick, R.K. Sinha

Citation: Computational Methods in Applied Mathematics, 20(2), 361-378

Year: 2020

  • Composite finite element approximation for nonlinear parabolic problems in nonconvex polygonal domains

Authors: T. Pramanick, R.K. Sinha

Citation: Numerical Methods for Partial Differential Equations, 34(6), 2316-2335

Year: 2018

  • Adaptation of the composite finite element framework for semilinear parabolic problems

Authors: A. Anand, T. Pramanick

Citation: Journal of Numerical Analysis and Approximation Theory, 53(1), 26-53

Year: 2024

  • Error estimates for finite element approximations of nonlinear parabolic problems in nonconvex polygonal domains

Authors: T. Pramanick, S. Mahata, R.K. Sinha

Citation: Advances in Mathematics: Scientific Journal, 9(9), 6513-6524

Year: 2020

  • Two scale composite finite element method for parabolic problems in convex and nonconvex polygonal domains

Authors: T. Pramanick

Citation: Guwahati

Year: 2019

  • Managing error estimates for semidiscrete finite element approximations of semilinear parabolic equations in a nonconvex polygon

Authors: T. Pramanick

Year: 2018

  • Adaptation of a variant of finite element method for the evolution equation in nonconvex domain

Authors: A. Anand, T. Pramanick

Event: 2025 Joint Mathematics Meetings (JMM 2025)

  • Composite finite element method implementation for nonlinear parabolic problems in nonconvex domains

Authors: T. Pramanick, R.K. Sinha

Year: Not specified in your list

  • Fully discrete finite element approximations of semilinear parabolic equations in a nonconvex polygon

Authors: T. Pramanick, R.K. Sinha

Year: Not specified in your list