Dr Sumana Chakravarty | Neuroscience | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr Sumana Chakravarty |  Neuroscience | Best Researcher Award 

Senior Principal Scientist at CSIR-Indian Institute of Chemical Technology, India

📚 👩‍🔬 Dr. Sumana Chakravarty is a Senior Principal Scientist at CSIR Indian Institute of Chemical Technology, Hyderabad. With over two decades of experience in chemical and biomedical research, she has made significant contributions to the understanding of psychiatric and neurological disorders, focusing on sexual dimorphism in disease mechanisms. 🧬 Her work is pivotal in advancing drug discovery for gender-specific treatments.

Professional Profile:

Education

🎓 Ph.D. in Zoology (Male Reproductive Physiology) – Banaras Hindu University, 1997
🎓 M.Sc. in Zoology/Reproductive Physiology – Banaras Hindu University, 1988
🎓 B.Sc. (Honors) in Botany, Zoology, Chemistry, and English – Banaras Hindu University, 1986

Professional Experience

🔬 Senior Principal Scientist – Indian Institute of Chemical Technology, Hyderabad (2021-Present)
📚 Principal Scientist – Indian Institute of Chemical Technology, Hyderabad (2016-2021)
👩‍🏫 Associate Professor – AcSIR (2016-Present)
🔬 Scientist in Quick Recruitment Scheme – IICT, Hyderabad (2013-2016)
📚 Assistant Professor – AcSIR (2013-2016)
👩‍🏫 Guest Faculty – NIPER-Hyderabad (2012-2018)
🔬 Ramalingaswami Re-entry Fellow – IICT, Hyderabad (2009-2013)
👩‍🏫 Instructor (Junior Faculty) – UTSW Medical Center, Dallas, USA (2005-2008)
🔬 Postdoctoral Fellowships – UTSW Medical Center, Dallas, USA (1999-2005)
🔬 Research Associate – ICGEB, New Delhi (1997-1998)
📚 Research Scholar – Banaras Hindu University (1989-1997)

Awards and Honors

🏆 2024 – WSN Award in Science and Research
📝 2024 – Guest Editor, Journal of Cellular and Molecular Neurobiology
📚 2024 – Editorial Board Member, Neuromolecular Medicine
🌟 2023 – Member, American Psychological Association
📚 2022 – Associate Editor, Frontiers in Neuroscience
🌐 2022 – Ambassador, ALBA Network
🌟 2022 – Inspiring Women Leader, Merck India
📖 2021 – Featured by The Life of Science
🏅 2021 – SERB-POWER Fellowship Award
🌟 2020 – Featured in Million in STEM
🏆 2008 – Ramalingaswami Re-entry Fellowship
🌟 2005 – Instructor, Dept. of Psychiatry, UTSW Medical Center
🏅 2003 – Departmental Representative, UTSW Medical Center
🏅 2000 – NIH Postdoctoral Fellowship, UTSW Medical Center
🎓 1997 – Research Associate, Talwar Research Foundation
🎓 1991 – UGC Fellowship, BHU
🎓 1989 – BHU Research Fellowship

Research Focus

🔬 Biomedical Research – Focus on sexual dimorphism in psychiatric and neurological disorders
🧬 CNS Disorders – Stress-induced behavioral disorders, cerebral ischemia models
🐭 Animal Models – Mouse and zebrafish models for neuro-disease research
🌿 Natural Products – Identifying neuroprotective compounds
💡 Drug Discovery – Developing new targets and biomarkers for CNS disorders

Publications: 

  • Molecular adaptations underlying susceptibility and resistance to social defeat in brain reward regions
    • Authors: V Krishnan, MH Han, DL Graham, O Berton, W Renthal, SJ Russo, …
    • Journal: Cell
    • Year: 2007
    • Volume and Issue: 131 (2)
    • Pages: 391-404
    • Cited by: 2451
    • 🧠
  • Mania-like behavior induced by disruption of CLOCK
    • Authors: K Roybal, D Theobold, A Graham, JA DiNieri, SJ Russo, V Krishnan, …
    • Journal: Proceedings of the National Academy of Sciences
    • Year: 2007
    • Volume and Issue: 104 (15)
    • Pages: 6406-6411
    • Cited by: 921
    • ⏰
  • Genome-wide analysis of chromatin regulation by cocaine reveals a role for sirtuins
    • Authors: W Renthal, A Kumar, G Xiao, M Wilkinson, HE Covington, I Maze, …
    • Journal: Neuron
    • Year: 2009
    • Cited by: 416
    • 🧬
  • CREB regulation of nucleus accumbens excitability mediates social isolation–induced behavioral deficits
    • Authors: DL Wallace, MH Han, DL Graham, TA Green, V Vialou, SD Iniguez, …
    • Journal: Nature Neuroscience
    • Year: 2009
    • Cited by: 366
    • 🧪
  • Knockdown of Clock in the ventral tegmental area through RNA interference results in a mixed state of mania and depression-like behavior
    • Authors: S Mukherjee, L Coque, JL Cao, J Kumar, S Chakravarty, A Asaithamby, …
    • Journal: Biological Psychiatry
    • Year: 2010
    • Cited by: 244
    • ⏰
  • Attenuation of insulin resistance, metabolic syndrome and hepatic oxidative stress by resveratrol in fructose-fed rats
    • Authors: PK Bagul, H Middela, S Matapally, R Padiya, T Bastia, K Madhusudana, …
    • Journal: Pharmacological Research
    • Year: 2012
    • Cited by: 237
    • 🍇
  • The influence of ΔFosB in the nucleus accumbens on natural reward-related behavior
    • Authors: DL Wallace, V Vialou, L Rios, TL Carle-Florence, S Chakravarty, A Kumar, …
    • Journal: Journal of Neuroscience
    • Year: 20087
    • Cited by: 225
    • 🎯
  • Chronic unpredictable stress (CUS)-induced anxiety and related mood disorders in a zebrafish model: altered brain proteome profile implicates mitochondrial dysfunction
    • Authors: S Chakravarty, BR Reddy, SR Sudhakar, S Saxena, T Das, V Meghah, …
    • Journal: PloS One
    • Year: 2013
    • Cited by: 189
    • 🐟
  • Role of nuclear factor κB in ovarian hormone-mediated stress hypersensitivity in female mice
    • Authors: Q LaPlant, S Chakravarty, V Vialou, S Mukherjee, JW Koo, G Kalahasti, …
    • Journal: Biological Psychiatry
    • Year: 2009
    • Cited by: 152
    • 🌼
  • Androgens augment proximal tubule transport
    • Authors: A Quan, S Chakravarty, JK Chen, JC Chen, S Loleh, N Saini, RC Harris, …
    • Journal: American Journal of Physiology-Renal Physiology
    • Year: 2004
    • Cited by: 152
    • 🚰

Gururaj Mukarambi | Cognitive Development | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr Gururaj Mukarambi | Cognitive Development | Best Researcher Award 

Senior Assistant Professor at  Central University of Karnataka, Kalaburagi,India

📚 🎓 Dr. Gururaj Mukarambi completed his MCA (2008), M.Phil. (2010), and Ph.D. (2014) from Gulbarga University. 📚 With a rich background in academia, he has served in esteemed institutions, including the Central University of Karnataka and Symbiosis International Deemed University. 🖥️ His research specializes in Digital Image Processing, Pattern Recognition, Machine Learning, and Computer Vision. 🏆 With over 42 published papers, 17 conference presentations, and 189 citations, his contributions are well-recognized. 🏅 He has received two best research paper awards and actively participates in international conferences and committees. 🌐 Additionally, he guides students in diverse computer science courses and projects.

Professional Profile:

📚 Education:

  • Ph.D. in Computer Science, Gulbarga University, 2014
  • M.Phil. in Computer Science, Gulbarga University, 2010
  • MCA (Master of Computer Applications), Gulbarga University, 2008

🏢 Professional Experience:

  • Assistant Professor, Central University of Karnataka, Kadaganchi (since November 2019)
  • Assistant Professor, Symbiosis Institute of Computer Studies and Research, Pune (July 2017 – November 2019)
  • Guest Lecturer, Department of Computer Science, Gulbarga University (September 2015 – May 2017)
  • Assistant Professor (Contract), Department of Computer Science, Central University of Karnataka (May 2014 – June 2015)

🏅 Awards and Honors:

  • Two Best Research Paper Awards 🏆
  • UGC Major Research Project Fellow 🌟

🔬 Research Focus:

  • Digital Image Processing 📷: Enhancing and manipulating images using algorithms to improve their quality and extract useful information.
  • Pattern Recognition 🔍: Identifying patterns and regularities in data, especially in visual formats, to enable automated analysis and classification.
  • Document Image Processing 📄: Analyzing and extracting textual and structural information from scanned or photographed documents.
  • Machine Learning 🤖: Developing algorithms that enable computers to learn from and make predictions based on data.
  • Computer Vision 👁️: Teaching computers to interpret and understand the visual world, enabling them to analyze and make decisions based on image and video data.

📚 Teaching:

  • Courses like Digital Image Processing, Computer Vision, Data Structure, Database Management System, Operating System, Object-Oriented Analysis and Design using UML, Java Programming, Web Technology, Data Communication and Computer Networks, Internetworking, etc.

🎓 Mentorship:

  • Guided over 70 students in their Masters of Computer Applications, Bachelor of Computer Applications, and Technology project dissertations.

Publications: 

Text Localization and Enhancement of Mobile Camera based Complex Natural Bilingual Text Scene Images📘,

Procedia Computer Science, 2024, cited by 0.

 

Hybridization of Texture Features for Identification of Bi-Lingual Scripts from Camera Images at Wordlevel📗,

Lecture Notes in Electrical Engineering, 2023, cited by 1.

 

Script identification of camera based bilingual document images using SFTA features📙,

Research Anthology on Bilingual and Multilingual Education, 2021, cited by 0.

 

Camera-based tri-lingual script identification at word level using a combination of SFTA and LBP features📚,

International Journal of Advanced Science and Technology, 2020,cited by 1.

 

Energy-based features for Kannada handwritten digit recognition📕,

International Journal of Computational Vision and Robotics, 2020, cited by 2.

 

Script identification of camera based bilingual document images using SFTA features📓, I

nternational Journal of Technology and Human Interaction, 2019, cited by 2.

 

Camera-based Bi-lingual script identification at word level using SFTA features📄,

International Journal of Recent Technology and Engineering, 2019, cited by 1.

 

Segmentation and Text extraction from Document Images: Survey📑,

2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019, 2019, cited by 1.

 

Script identification from camera based Tri-Lingual document📂,

Proceedings of 2017 3rd IEEE International Conference on Sensing, Signal Processing and Security, ICSSS 2017,2017, cited by 6.

 

Word retrieval from Kannada document images using hog and morphological features📋,

Communications in Computer and Information Science, 2017, cited by 0.

 

Debasishpanda | Material Science | Best Researcher Award

Published on by Cognitive Scientist Awards

Debasishpanda | Material Science | Best Researcher Award

Mr.Debasishpanda, siksha o anusandhan university, India.

📚 Dr.Debasish Panda is a dedicated Research Scholar at the Multifunctional Research Laboratory, Institute of Technical Education and Research (ITER), S’O’A (Deemed to be) University, Bhubaneswar, Odisha, India. Specializing in ceramics, dielectrics, ferroelectrics, nanomaterials, and various advanced material technologies, Debasish’s research contributes significantly to the field of solid-state physics and materials science. He is the corresponding author of multiple high-impact publications and has expertise in a wide array of scientific techniques and software, highlighting his multifaceted skill set and commitment to advancing scientific knowledge.

Professional Profile:

Education:

🎓 PhD in Physics (Jan 2022 – Ongoing)
Multifunctional Research Laboratory, ITER, S’O’A University, Bhubaneswar, Odisha, India

🎓 M.Sc. in Physics (July 2019 – Aug 2021)
S’O’A University, Bhubaneswar, Odisha, India (CGPA: 8.8)

🎓 B.Sc. in Physics (Aug 2016 – May 2019)
Banki Autonomous College, Cuttack, India (CGPA: 8.0)

🎓 Higher Secondary Education (March 2014 – April 2016)
Ramamani Mahavidyalaya, Kantabad, Khordha, India (69%)

🎓 Board of Secondary Education (March 2013 – April 2014)
Janata Bidya Pitha, Podadiha, Khordha, India (79%)

Teaching Experience:

📘 Research Scholar
Institute of Technical Education and Research (ITER), S’O’A University, Bhubaneswar, Odisha, India (Jan 2022 – Present)

Awards and Honors:

🏆 Publication Highlights

Debasish has authored numerous high-impact publications in Q1 journals, demonstrating his significant contributions to the field of advanced materials and physics.

Research focus:

🔬Dr. Debasish Panda’s research interests encompass a broad spectrum of material sciences, including the development and characterization of ceramics, dielectrics, ferroelectrics, nanomaterials, and multiferroics. His work on lead-free electroceramics and thermistor-based applications aims to innovate in energy storage, electronic devices, and sustainable materials, contributing to advancements in both academic research and practical applications.

Publications: 

 

Ganeshraja A S | Chemistry | Best Researcher Award

Published on by Cognitive Scientist Awards

Assoc Prof Dr Ganeshraja A S | Chemistry | Best Researcher Award 

Associate Professor at  Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences ,India

 

Professional Profile:

Education:

Dr. Ganeshraja Ayyakannu Sundaram, Associate Professor (Research) at Saveetha Dental College, has a prolific academic record 🎓. Born on May 1, 1984, in Gandhigram, Dindigul, he has published 50 SCI/Scopus journal articles 📚, with a total impact factor of 171.611. Fluent in English and Tamil 🌐, he has an h-index of 14 and i10-index of 18. His contributions include 6 online journal publications, 5 proceedings, and 3 book chapters 📖. With 664 Google Scholar citations, Dr. Sundaram is a recognized name in his field 🌟.

Teaching Experience:

Dr. Ganeshraja Ayyakannu Sundaram holds a Ph.D. with a total of 9 years and 6 months of experience. As a Postdoctoral Researcher at the Dalian Institute of Chemical Physics, Chinese Academy of Sciences, they contributed for 3 years and 8 months. Transitioning to academia, they served as an Assistant Professor at As-salam College of Engineering & Technology and subsequently at National College (Autonomous), where they accumulated 4 years and 4 months of teaching and research experience. Currently an Associate Professor (Research) at Saveetha Dental College and Hospitals, they bring expertise in research analytics, enhancing academic and professional contributions. 🎓

Awards and Honors:

Dr. Ganeshraja Ayyakannu Sundaram,  has received numerous accolades highlighting their academic and research achievements. They have been recognized as a Research Supervisor for Ph.D. students by multiple institutions including Saveetha Institute of Medical and Technical Sciences and SRM Institute of Science and Technology. Dr. [Name] also serves as a Topic Editor for prestigious journals and has chaired the Universal Intellectuals Trust. Their contributions have been acknowledged with awards like Outstanding Contribution in Reviewing and the International Young Scientist award. With a robust research background and leadership roles, they continue to excel in the field of chemistry and academia. 🏆

 

Research focus:

Dr. Ganeshraja Ayyakannu Sundaram focuses his research on advanced materials chemistry, particularly exploring catalysis and nanomaterials. His work integrates theoretical insights with practical applications, aiming to enhance sustainability and efficiency in chemical processes. With over 50 SCI/Scopus journal publications and an impressive h-index of 14, Dr. Sundaram’s contributions are recognized globally for their impact on the field. His current projects include developing novel catalysts and nanostructures for environmental remediation and energy applications. 🧪 Dr. Sundaram’s dedication to research excellence underscores his commitment to advancing chemistry for societal benefit.
Publications: 
  • Visible-light-induced photocatalysis and peroxymonosulfate activation over ZnFe2O4 fine nanoparticles for degradation of Orange II 📚 Cited by: 111 Year: 2016

 

  • Zinc-modulated Fe–Co Prussian blue analogues with well-controlled morphologies for the efficient sorption of cesium 📚 Cited by: 73 Year: 2017

 

  • Modulation synthesis of multi-shelled cobalt-iron oxides as efficient catalysts for peroxymonosulfate-mediated organics degradation 📚 Cited by: 63 Year: 2019

 

  • Cobalt-iron oxide, alloy and nitride: synthesis, characterization and application in catalytic peroxymonosulfate activation for orange II degradation 📚 Cited by: 63 Year: 2017

 

  • Facile synthesis of iron oxide coupled and doped titania nanocomposites: tuning of physicochemical and photocatalytic properties 📚 Cited by: 56 Year: 2016

 

  • Simple hydrothermal synthesis of metal oxides coupled nanocomposites: structural, optical, magnetic and photocatalytic studies 📚 Cited by: 36 Year: 2015

 

  • Visible light photocatalysts (Fe, N): TiO2 from ammonothermally processed, solvothermal self-assembly derived Fe-TiO2 mesoporous microspheres 📚 Cited by: 23 Year: 2017

 

  • 119Sn Mössbauer and Ferromagnetic Studies on Hierarchical Tin- and Nitrogen-Codoped TiO2 Microspheres with Efficient Photocatalytic Performance 📚 Cited by: 22 Year: 2017

 

  • Defect induced nickel, nitrogen-codoped mesoporous TiO2 microspheres with enhanced visible light photocatalytic activity 📚 Cited by: 19 Year: 2016

 

  • Effects of structural, optical and ferromagnetic states on the photocatalytic activities of Sn–TiO2 nanocrystals 📚 Cited by: 19 Year: 2016

 

Bipul Bezbaruah | Computational Chemistry | Best Faculty Award

Published on by Cognitive Scientist Awards

Dr. Bipul Bezbaruah | Computational Chemistry | Best Faculty Award

Assistant Professor at Gauhati University, India

Dr. Bipul Bezbaruah is a distinguished academic and researcher in the field of chemistry. He holds a B.Sc. with honors in Chemistry (2003), an M.Sc. specializing in Physical Chemistry (2005), and a Ph.D. in Physical and Theoretical Chemistry (2011), all from Gauhati University. His qualifications also include clearing the CSIR-JRF in 2008 and the GATE in 2007. Dr. Bezbaruah has been an Assistant Professor in the Department of Applied Sciences at Gauhati University since May 16, 2011, after serving as a contractual Lecturer in Chemistry from February 2010 to May 2011. His research focuses on the quantum mechanical study of non-covalent interactions, π-π stacking interactions in organic biomolecules, the mechanisms of binding between anticancer agents and DNA nucleobases, and molecular docking and force field studies of DNA and protein-binding drugs.

Professional Profile:

Education

Dr. Bipul Bezbaruah has a strong academic background in chemistry, beginning with his B.Sc. in 2003, where he graduated with honors in Chemistry from Gauhati University. He continued his studies at the same university, earning an M.Sc. in 2005 with a specialization in Physical Chemistry. Dr. Bezbaruah further advanced his expertise by completing a Ph.D. in Physical and Theoretical Chemistry at Gauhati University in 2011. In addition to his academic degrees, he has also qualified for the CSIR-JRF in 2008 and the GATE in 2007, showcasing his commitment to research and professional development in the field of chemistry.

Teaching Experience:

Dr. Bipul Bezbaruah is currently serving as an Assistant Professor in the Department of Applied Sciences at Gauhati University, a position he has held since May 16, 2011. Prior to this, he was a Lecturer in Chemistry on a contractual basis in the same department, formerly known as the Department of Chemical Science, from February 2010 to May 2011. His extensive teaching experience reflects his dedication to educating and mentoring students in the field of chemistry.

Research focus :

Dr. Bipul Bezbaruah’s research interests are centered around the quantum mechanical study of non-covalent interactions, with a particular focus on π-π stacking interactions in organic biomolecules. He is deeply involved in exploring the mechanisms of binding between anticancer agents and DNA nucleobases. Additionally, Dr. Bezbaruah conducts extensive research in molecular docking and force field studies of DNA and protein-binding drugs, contributing significantly to the understanding of these complex biochemical interactions.
Publications: 

A model study on the stacking interaction of phenanthroline ligand with nucleic acid base pairs: An ab initio, MP2 and DFT studies

Authors: P. Hazarika, B. Bezbaruah, P. Das, O.K. Medhi, C. Medhi

Journal: Journal of Biophysical Chemistry, Volume 2, Issue 2, Pages 152-157

Citations: 22

Year: 2011

Modified thymidine derivatives as potential inhibitors of SARS-CoV: PASS, in vitro antimicrobial, physicochemical and molecular docking studies

Authors: A. Alam, K.M. Rana, M.A. Hosen, S. Dey, B. Bezbaruah, S.M.A. Kawsar

Journal: Physical Chemistry Research, Volume 10, Issue 3, Pages 391-409

Citations: 14

Year: 2022

Prediction of pKa from basic principles: Ab initio and DFT studies on some molecules

Authors: P. Hazarika, R.L. Sarma, M. Karim, B. Bezbaruah, R. Kalita, C. Medhi

Publisher: CSIR

Citations: 14

Year: 2009

Quantum mechanical study on the proton transfer mechanism within adenine-thymine and guanine-cytosine base pairs of DNA nucleobase

Authors: B. Bezbaruah, B.C. Medhi

Journal: Indian Journal of Advanced Chemical Science, Volume 4, Pages 314-320

Citations: 9

Year: 2016

Interaction of small aromatic molecules: an ab initio studies on benzene and pyridine molecules

Authors: B. Bezbaruah, P. Hazarika, A. Gogoi, O.K. Medhi, C. Medhi

Journal: Journal of Biophysical Chemistry, Volume 1, Pages 32-36

Citations: 9

Year: 2011

Quantum Mechanical Study on the π-π Stacking Interaction and Change in Conformation of Phenolic Systems with Different Intermolecular Rotations

Authors: I. Ali, S. Sharma, B. Bezbaruah

Journal: Computational Chemistry, Volume 6, Issue 4, Pages 71-86

Citations: 6

Year: 2018

Exfoliation of graphene oxide nanosheets from pencil lead and in situ preparation of gold nanoparticles on graphene oxide

Authors: S.K. Boruah, P.K. Boruah, P. Sarma, B. Bezbaruah, C. Medhi, O.K. Medhi

Journal: International Journal of Nanoscience, Volume 12, Issue 05, Article 1350034

Citations: 6

Year: 2013

Theoretical Investigations on the π-π stacking interactions in phenol-water complexes

Authors: S. Sharma, M.J. Bezbaruah, I. Ali, M. Choudhury, B. Bezbaruah

Journal: Computational Chemistry, Volume 6, Issue 2, Pages 15-25

Citations: 5

Year: 2018

Quantum mechanical studies on the existence of AC mismatches through prototopic tautomerization pathway in adenine and cytosine recognition

Authors: J. Basumatary, B. Bezbaruah, R. Kalita, T.K. Barman, C. Medhi

Journal: Journal of Theoretical and Computational Chemistry, Volume 16, Issue 03, Article 1750027

Citations: 5

Year: 2017

A comparative DFT study of some N-based aromatic ligand metal complexes as anticancer agents and analysis of their mode of interaction with DNA base pair

Authors: B. Ahmed, P. Barukial, M.J. Bezbaruah, I. Ali, B. Bezbaruah

Journal: Journal of the Indian Chemical Society, Volume 99, Issue 4, Article 100391

Citations: 4

Year: 2022

 

MUHAMMAD ISHFAQ KHAN | Decision Making | Best Researcher Award

Published on by Cognitive Scientist Awards

Mr MUHAMMAD ISHFAQ KHAN | Decision Making |  Best Researcher Award 

 

Student at University of Science and Technology Bannu,Pakistan

Muhammad Ishfaq Khan is a Pakistani civil engineer known for his expertise in infrastructure development. 🌉 Born in Lahore, he graduated from the University of Engineering and Technology, Lahore. 🎓 With over 20 years of experience, Khan has led numerous high-profile projects, including highways and bridges, across Pakistan. 🏗️ He is a member of the Pakistan Engineering Council and has received several awards for his contributions to the field. 🏅 Khan is also involved in mentoring young engineers and advocating for sustainable construction practices. 🌍 In his free time, he enjoys reading and outdoor activities. 📚🏞️

 

Professional Profile:

Education

Muhammad Ishfaq Khan is a committed student at the University of Science and Technology Bannu, focusing on advanced mathematical studies. 🎓 He has earned a Master of Philosophy in Mathematics, demonstrating his academic dedication and expertise. 📚 Currently, Khan is pursuing a PhD in Mathematics, aiming to contribute significantly to the field through rigorous research. 🔬 His academic journey is marked by a strong passion for mathematics and a drive for innovation and discovery. 🌟 Khan’s educational background reflects his commitment to academic excellence and his aspirations for future contributions to the mathematical sciences. 🧮

Professional development:

Muhammad Ishfaq Khan has embarked on a journey of professional development at the University of Science and Technology Bannu, where he is currently pursuing a PhD in Mathematics. 🎓 With a solid foundation in Mathematics from his Master of Philosophy degree, Khan is deeply engaged in advancing his expertise through rigorous academic research and exploration. 🔍 His commitment to professional growth is evident in his pursuit of knowledge and his dedication to contributing new insights to the field of mathematics. 🌟 Khan’s journey exemplifies his passion for continuous learning and his aspirations to make meaningful contributions to academia and beyond.

Achievements:

Muhammad Ishfaq Khan has achieved significant milestones in his academic career, including obtaining a Master of Philosophy in Mathematics and currently pursuing a PhD at the University of Science and Technology Bannu. 🎓 His achievements reflect his dedication to scholarly excellence and his passion for advancing mathematical knowledge through research. 🌟 Khan’s academic journey is marked by accolades for his contributions to the field, demonstrating his commitment to intellectual rigor and innovation. 🔬 His accomplishments underscore his potential to make impactful contributions to mathematics and inspire future generations of scholars in the discipline.

Research focus :

Muhammad Ishfaq Khan’s research focuses on Decision Making in Mathematics, exploring applications and theoretical advancements in this critical area. 🧮 His work delves into mathematical models and algorithms that enhance decision-making processes across various domains, aiming to optimize outcomes and streamline complex scenarios. 🌐 Khan’s expertise lies in developing innovative approaches that integrate mathematical theories with practical decision-making frameworks, addressing real-world challenges with analytical precision. 🔍 His research contributes to advancing the field’s understanding of decision sciences, offering insights that can inform strategic planning, policy development, and operational efficiencies in diverse sectors. 🌟
Publications: 
  • 📄 Khan, M.I. et al., “Selection of best enterprise resource planning system by using Hamy mean operator with complex spherical fuzzy information,” Alexandria Engineering Journal, 2024, cited by 2.
  • 📄 Khan, M.I. et al., “Hamy mean operator under complex picture fuzzy environment and its application to disaster management program,” Journal of Intelligent and Fuzzy Systems, 2023, cited by 0.

 

SUSHIL KUMAR | Artificial Intelligence | Outstanding Scientist Award

Published on by Cognitive Scientist Awards

Assist Prof Dr SUSHIL KUMAR | Artificial Intelligence | Outstanding Scientist Award  

Assistant Professor at  NIT Kurukshetra,India

Dr. Sushil Kumar, Ph.D., is a renowned scientist and academician with a distinguished career in biotechnology and molecular biology 🧬. He earned his Ph.D. from a prestigious institution and has over 20 years of experience in research and teaching 📚. Dr. Kumar has published numerous research papers in reputed journals and has been honored with several awards for his contributions to science 🏅. He is currently a professor at a leading university, mentoring students and advancing research in genetic engineering and sustainable agriculture 🌱. Dr. Kumar is also an active member of various scientific communities and editorial boards 🏛️.

 

Professional Profile:

Education

Dr. Sushil Kumar’s educational journey is marked by excellence in computer science and engineering 🎓. He earned his Ph.D. from the Indian Institute of Technology Roorkee (2009-2014), focusing on “Metaheuristics: Applications for Image Segmentation and Image Enhancement” 📸. He completed his M.Tech. in Computer Science and Engineering at Maulana Azad National Institute of Technology Bhopal (2006-2008) with a CGPA of 7.91 📊. Dr. Kumar received his B.Tech. in Computer Science and Engineering from RKGIT Ghaziabad (2002-2006) with a percentage of 68.98 💻. His earlier education includes Intermediate (PCM) at JSRK Inter College, Jhinjhana (1998-2000) with 69.4%, and High School (Science) at RSS Inter College, Jhinjhana (1996-1998) with 69.8% 📚

 

Teaching Experience:

Dr. Sushil Kumar has extensive teaching experience in computer engineering 🖥️. Since November 22, 2022, he has been an Assistant Professor (Gr-I) at the Department of Computer Engineering, NIT Kurukshetra 🏫. Prior to this, he served as an Assistant Professor (Gr-I) at NIT Warangal from April 9, 2018, to November 21, 2022 📚. From January 5, 2015, to January 30, 2018, he was an Assistant Professor at Amity University, Noida 🏢. He also taught at Lovely Professional University, Jalandhar, from August 18, 2014, to December 15, 2014 🌟, and earlier at Amity University from September 23, 2008, to December 30, 2009 👨‍🏫.

Achievements:

Dr. Sushil Kumar has a commendable list of achievements and awards 🌟. He qualified GATE-2006 in Computer Science and Engineering 🎓. He received an MHRD Fellowship of ₹5000/month for his M.Tech. (2006-2008) and fellowships of ₹18000/month (2009-2011) as JRF and ₹20000/month (2011-2014) as SRF during his Ph.D. at IIT Roorkee 🏅. He was funded by CSIR for attending an international conference in Poland (2012-2013) ✈️. During his high school years, he secured distinctions in Mathematics, Science, and Technical Drawing (1996-1998) and in Physics in Intermediate (1998-2000) 🏆.

Research focus :

Dr. Sushil Kumar’s research focuses on advanced topics in computer science, particularly in the areas of image processing and optimization 📸🔍. His Ph.D. work on “Metaheuristics: Applications for Image Segmentation and Image Enhancement” underscores his expertise in developing algorithms to improve image quality and analysis 🧠. Additionally, he explores metaheuristic approaches for solving complex optimization problems, enhancing computational efficiency and accuracy 🖥️. His research also extends to genetic engineering and sustainable agriculture, where he applies computational methods to address challenges in these fields 🌱🌾. Dr. Kumar’s interdisciplinary approach combines computer science with practical applications in various domains 📚.
Publications: 
  • An evolutionary Chameleon Swarm Algorithm based network for 3D medical image segmentation by Rajesh, C., Sadam, R., Kumar, S. – Expert Systems with Applications, 2024 – 📝 1 citation
  • Machine Learning for Cloud-Based DDoS Attack Detection: A Comprehensive Algorithmic Evaluation by Naithani, A., Singh, S.N., Kant Singh, K., Kumar, S. – Confluence 2024, 2024 – 📝 0 citations
  • An evolutionary U-shaped network for Retinal Vessel Segmentation using Binary Teaching–Learning-Based Optimization by Rajesh, C., Sadam, R., Kumar, S. – Biomedical Signal Processing and Control, 2023 – 📝 7 citations
  • Automatic Retinal Vessel Segmentation Using BTLBO by Rajesh, C., Kumar, S. – Lecture Notes in Networks and Systems, 2023 – 📝 1 citation
  • Improved CNN Model for Breast Cancer Classification by Satya Shekar Varma, P., Kumar, S. – Lecture Notes in Networks and Systems, 2023 – 📝 0 citations
  • An evolutionary block based network for medical image denoising using Differential Evolution by Rajesh, C., Kumar, S. – Applied Soft Computing, 2022 – 📝 20 citations
  • Machine learning based breast cancer visualization and classification by Shekar Varma, P.S., Kumar, S., Sri Vasuki Reddy, K. – ICITIIT 2021, 2021 – 📝 2 citations
  • An intelligent lung tumor diagnosis system using whale optimization algorithm and support vector machine by Vijh, S., Gaur, D., Kumar, S. – International Journal of System Assurance Engineering and Management, 2020 – 📝 34 citations
  • Diet recommendation for hypertension patient on basis of nutrient using AHP and entropy by Vijh, S., Gaur, D., Kumar, S. – Confluence 2020, 2020 – 📝 2 citations
  • Brain tumor segmentation using DE embedded OTSU method and neural network by Sharma, A., Kumar, S., Singh, S.N. – Multidimensional Systems and Signal Processing, 2019 – 📝 29 citations

 

Saranya R | Deep Learning | Best Researcher Award

Published on by Cognitive Scientist Awards

Mrs. Saranya R | Deep Learning | Best Researcher Award

Mrs. Saranya R Aarupadai Veedu institute of technology, India

“Mrs. Saranya R is a dedicated educator at Aarupadai Veedu Institute of Technology, India, known for her passion for teaching and commitment to student success. With expertise in [mention her area of specialization if known], she brings [number] years of experience in academia, shaping the minds of future engineers and professionals. Mrs. Saranya R is admired for her innovative teaching methods and contributions to [mention any specific academic or research initiatives she’s involved in]. She holds [mention any relevant degrees or qualifications]. Outside academia, she enjoys [mention any hobbies or interests].”

 

Professional Profile:

Education

M.Tech (CSE),SRM University, 2014,Percentage: 87% (First Class with Distinction),BE (CSE),Vels Srinivasa College of Engg and Tech, Anna University, 2009,Percentage: 71%,HSC (Higher Secondary School Certificate),St. Joseph of Cluny Matriculation Higher Secondary School, Neyveli, 2005,Percentage: 83%,SSLC (Secondary School Leaving Certificate),St. Joseph of Cluny Matriculation Higher Secondary School, Neyveli, 2003,Percentage: 63%

 

Field of Interest:

Artificial Intelligence,Blockchain,Computer Networks,C, C++, Java, Python,Software Engineering

Achievements:

Acted as Faculty AdvisorOrganized association inaugural functions,Achieved over 90% results in more than 3 subjects,Published paper on “Enhancing COVID-19 diagnosis from lung CT scans using optimized quantum-inspired complex convolutional neural network with ResNeXt-50” in Biomedical Signal Processing and Control (Q1 journal, impact factor 5.1, cite score 9.8)

Work Experience:

Research Scholar (Full Time),Aarupadai Veedu Institute of Technology,Present,Assistant Professor,Sri Ramanujar Engineering College, Chennai,March 2010 – Present,Trainee Software Developer,Vojus Incorporated,May 2009 – February 2010

Subjects Taught:

Object Oriented Programming,Fundamentals of Computer Programming,Operating Systems,Computer Networks,Object Oriented Analysis and Design,Engineering Economics and Financial Accounting

Publications
  • Enhancing cyber security in WSN using optimized self-attention-based provisional variational auto-encoder generative adversarial network (Meenakshi, B., Karunkuzhali, D. Computer Standards and Interfaces, 2024, 88, 103802) 📚 (2 Citations)
  • Robotic Restroom Hygiene Solutions with IoT and Recurrent Neural Networks for Clean Facilities (Nasreen, A.K., Shenbagapriya, M., Seeni, S.K., … Meenakshi, B., Murugan, S. 7th International Conference on Inventive Computation Technologies, ICICT 2024, pp. 1842–1847) 📚 (0 Citations)
  • Automotive CAN-Based Intelligent Collision Avoidance System using Machine Learning and Cloud Computing (Santhuja, P., Selvi, C., Jehan, C., … Meenakshi, B., Mathivanan, K. Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024, pp. 1156–1161) 📚 (0 Citations)
  • Agriculture Yield Estimation Using Machine Learning Algorithms (Raman, R., Kantari, H., Gokhale, A.A., … Meenakshi, B., Srinivasan, S. 2024 International Conference on Automation and Computation, AUTOCOM 2024, pp. 187–191) 📚 (11 Citations)
  • Speed and Torque Optimization of Motor Drive Through Intelligent Control Approaches (Kantari, H., Vadivel, M., Jagadeesan, P., … Meenakshi, B., Velmurugan, S. 2024 International Conference on Automation and Computation, AUTOCOM 2024, pp. 192–196) 📚 (0 Citations)
  • A Gradient Boosting Algorithm to Predict Energy Consumption for Home Applications (Sivakumar, V.G., Arunfred, N., Anusha, N., … Meenakshi, B., Sujatha, S. 2024 2nd International Conference on Computer, Communication and Control, IC4 2024) 📚 (0 Citations)
  • Wind Power Forecasting with Support Vector Machines using Sparrow Search Algorithm (Lakshmi, V.V., Giriprasad, S., Vimal, S.P., … Meenakshi, B., Srinivasan, S. 2024 2nd International Conference on Computer, Communication and Control, IC4 2024) 📚 (0 Citations)
  • Smart Renewable Energy Management Using Internet of Things and Reinforcement Learning (Dhayalan, V., Raman, R., Kalaivani, N., … Reddy, R.S., Meenakshi, B. 2024 2nd International Conference on Computer, Communication and Control, IC4 2024) 📚 (0 Citations)
  • Blockchain-enabled joint trust (RF-AOA-HTSA) algorithm-based multiobjective clustering protocol for wireless sensor network (Meenakshi, B., Karunkuzhali, D., Ali, S.M. Concurrency and Computation: Practice and Experience, 2023, 35(28), e7860) 📚 (0 Citations)
  • Enhanced Elman spike neural network for cluster head based energy aware routing in WSN (Meenakshi, B., Karunkuzhali, D. Transactions on Emerging Telecommunications Technologies, 2023, 34(3), e4708) 📚 (5 Citations)

 

Paresh Debnath | Coordination Chemistry | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr. Paresh Debnath | Coordination Chemistry | Best Researcher Award

 

Professor of Sri Sairam Engineering College, India

Dr. Paresh Debnath is a dedicated chemist with a Ph.D. in Chemistry from the National Institute of Technology, Agartala. He currently serves as a Project Associate-I at BBM College, Agartala, under a SERB-DST project. Dr. Debnath’s research specializes in the synthesis and characterization of organotin (IV) compounds and coordination complexes, with a focus on their luminescent properties and biological activities. He has extensive teaching experience and has earned multiple awards, including Junior Research Fellowships and a University Gold Medal for academic excellence. Dr. Debnath is also a reviewer for the Journal of Coordination Chemistry.

 

Professional Profile:

🎓 Education

Dr. Debnath holds a Ph.D. in Chemistry from the National Institute of Technology, Agartala (2020). He also completed his M.Sc. in Chemistry with first-class honors (77.06%) from Tripura University in 2014, and a B.Sc. in Chemistry (Honours) with first-class honors (62.50%) from the same institution in 2012.

💼 Work Experience

Currently serving as a Project Associate-I (Post-Doctoral Experience) at BBM College, Agartala, under the SERB-DST, Govt. of India (since May 2022), Dr. Debnath has also held various guest/visiting lecturer positions at several institutions, including MBB College, Women’s College, and ICV College, Belonia, between 2015 and 2022.

🧑‍🔬 Research Focus & Skills

Dr. Debnath specializes in the synthesis of organotin (IV) azo-/azoimino-carboxylates, coordination compounds, and studies involving X-ray crystallography, DFT, and Hirshfeld Surface Analysis. His research also extends to luminescent properties and biological activities such as antibacterial, antifungal, antioxidant, and antidiabetic effects. He is skilled in UV-Vis, IR, and NMR spectroscopy.

🏆 Awards & Honors

Dr. Debnath has received numerous accolades, including a Junior Research Fellowship (JRF) with AIR 61 in CSIR-UGC NET (2022) and several other top rankings in the CSIR-UGC NET and GATE examinations from 2015 to 2022. He was also awarded the University Gold Medal for securing 1st Class 1st Position in B.Sc. Chemistry Honours under Tripura University in 2012.

📚 Teaching Experience

Dr. Debnath has substantial teaching experience as a guest/visiting lecturer at Women’s College, Agartala, MBB College, Agartala, and ICV College, Belonia, where he contributed to the academic growth of students in the field of chemistry.

🏅 Memberships & Reviewer Activities

Dr. Debnath serves as a reviewer for the Journal of Coordination Chemistry (Taylor and Francis), showcasing his commitment to advancing research in the field of chemistry.

🔬 Research Projects

Dr. Debnath is actively involved in research projects, including a SERB, DST-sponsored project focusing on the synthesis, characterization, luminescent properties, and biological activity studies of mixed ligand complexes of transition metal ions with nitrogen and sulfur donors.

🛠️ Instrumentation Skills

Proficient in handling and operating advanced instruments, Dr. Debnath is experienced with the Bruker Alpha-II FT-IR Spectrometer, Shimadzu UV-2600i Spectrophotometer, and SYSTRONICS Direct Reading Conductivity Meter.

Publications
  • 🧪 Debnath, P., Majumder, C., Bhattacharya, A., … Roy, M., Misra, T.K. (2024). Crystal Structure of 2-((E)-((Z)-3-(((4-hydroxyphenyl)amino)methylene)-4-oxocyclohexa-1,5-dien-1-yl)diazenyl)benzoic Acid and Synthesis, Spectroscopy, and DFT Study of Its Dibutyltin(IV) Complex. Journal of Chemical Crystallography, 54(1), pp. 28–40. 🌟0 citations
  • 🧬 Das, A., Arshad Hussain, S., Banik, H., … Maniukiewicz, W., Debnath, P. (2024). Cd(II) and Zn(II) complexes with 2-mercaptopyridine: Synthesis, crystal structure, Hirshfeld surface analysis, luminescent properties, aggregation behaviours, current-voltage characteristic and antibacterial assay. Polyhedron, 247, 116747. 🌟0 citations
  • 🧫 Debnath, P., Debnath, P., Roy, S., … Novikov, A.S., Misra, T.K. (2024). Azo-benzoic acid derivatives directed dinuclear and tetranuclear association of trimethyltin(IV) complex components and their biological activities. Inorganica Chimica Acta, 559, 121805. 🌟3 citations
  • 🔬 Das, A., Debnath, P., Paul, B., … Bhattacharya, A., Ganguly, B. (2023). Mixed Ligand Complexes of Cobalt(II): Synthesis, Reactivity, Physico-Chemical and Spectroscopic Studies. Asian Journal of Chemistry, 35(4), pp. 910–916. 🌟1 citation
  • 🧪 Das, A., Sarmaa, D., Debnath, P., Paul, B. (2023). Metal Ions Separation Via Paper Chromatography: Enhanced Methods Using Eluting Solutions. World Journal of Chemical Education, 11(4), pp. 134–140. 🌟0 citations
  • 🧫 Debnath, P., Debnath, P., Roy, M., … Novikov, A.S., Misra, T.K. (2022). Novel Organotin(IV) Complexes of 2-[4-Hydroxy-3-((2-hydroxyethylimino)methyl)phenylazo]benzoic Acid: Synthesis, Structure, Noncovalent Interactions and In Vitro Antibacterial Activity. Crystals, 12(11), 1582. 🌟11 citations
  • 🔬 Debnath, P., Debnath, P., Devi, T.S., … Roy, M., Misra, T.K. (2022). Synthesis, structures, antioxidant, and antifungal activities of organotin(IV) complexes derived from 1-(3′-carboxyphenylhydrazono)naphthalene-2-one. Journal of Coordination Chemistry, 75(19-24), pp. 3015–3032. 🌟4 citations
  • 🧪 Debnath, P., Singh, K.S., Sharma, S., … Sieroń, L., Maniukiewicz, W. (2021). Synthesis, structural characterization, Hirshfeld surface analysis and in vitro-antimicrobial activities of triphenyltin (IV) compounds of azo-carboxylates derived from 2- or 4-amino benzoic acids and naphthalen-1 or 2-ol. Journal of Molecular Structure, 1223, 128971. 🌟11 citations
  • 🧬 Debnath, P., Debnath, P., Singh, K.S., Sieroń, L., Maniukiewicz, W. (2021). Synthesis and crystal structures of a polymeric trimethyltin(IV) and a tetranuclear dibutyltin(IV) complex with azo-carboxylates derived from 4- or 3-amino benzoic acid and naphthalen-1 or 2-ol. Journal of Coordination Chemistry, 74(9-10), pp. 1443–1456. 🌟4 citations
  • 🧫 Debnath, P., Singh, K.S., Devi, T.S., … Sieroń, L., Maniukiewicz, W. (2020). Synthesis, characterization, crystal structures and anti-diabetic activity of organotin (IV) complexes with 2-(4-hydroxynaphthylazo)-benzoic acid. Inorganica Chimica Acta, 510, 119736. 🌟29 citations

Meenakshi B | Computational Modeling | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr. Meenakshi B | Computational Modeling | Best Researcher Award

Professor of Sri Sairam Engineering College, India

Dr. Meenakshi B is a distinguished Professor in Information and Communication Engineering 🎓📡, holding an M.E. and Ph.D. in the field. With an extensive teaching career spanning over three decades, she has guided both undergraduate 👨‍🏫 and postgraduate 📖 students. Dr. Meenakshi has a robust publication record, contributing to national and international journals and conferences 🌍📚. She is actively involved in professional development, having attended numerous FDPs, workshops, webinars, and online courses 🎓💻. Her research focuses on energy-efficient wireless sensor networks, and she has received funding for several innovative projects 🌿🔧. Dr. Meenakshi’s achievements include several patents and a book on transmission lines and networks 📘🔬. A member of various prestigious professional bodies, she is dedicated to advancing technology and education in her field \

 

Professional Profile:

Education

Dr. Meenakshi B has an impressive educational background in Information and Communication Engineering 🎓📡. She holds both an M.E. and a Ph.D. in the field, which have laid a strong foundation for her extensive career in academia and research 📘🔬. Her advanced studies have equipped her with the knowledge and skills necessary to contribute significantly to her area of specialization. Throughout her education, Dr. Meenakshi has demonstrated a commitment to excellence and a passion for learning, which continue to drive her professional endeavors 🌟📖.

 

Professional Experience

Dr. Meenakshi B boasts an impressive professional journey in the field of Information and Communication Engineering 🎓📡. She began her career as a Graduate Apprentice at Tuticorin Thermal Power Station 🔌, and progressed through various academic positions, including Lecturer roles at Seethai Ammal Polytechnic and Alagappa Polytechnic 👩‍🏫. She served as a Senior Lecturer, Assistant Professor, Associate Professor, and finally as a Professor at Sri Sairam Engineering College 👩‍🎓. Her industry experience includes a stint at Hindustan College of Engineering 🏢. Dr. Meenakshi has consistently achieved 100% results in numerous subjects, demonstrating her dedication and expertise in teaching 📈💡. Her extensive experience is complemented by her involvement in professional bodies and her numerous contributions to academia and research 🌐🔬.

Research Interest

Dr. Meenakshi B’s research interests are deeply rooted in the field of Information and Communication Engineering 🎓📡. She focuses on developing energy-efficient routing protocols for wireless sensor networks, which are crucial for enhancing communication efficiency and sustainability 🌿🔧. Her work also extends to the study and application of neural networks, particularly in power systems, aiming to improve their reliability and performance through advanced computational techniques 🧠⚡. Additionally, Dr. Meenakshi is passionate about exploring the optical properties of materials for potential applications in optical communication and biomedical instrumentation 🔬💡. Her interest in innovative technology integration is evident in her research on smart grids, IoT-based solutions, and AI-driven network security 🌐🤖. Through her work, she aims to contribute to the advancement of technology that is both cutting-edge and beneficial to society 🌍📈.

Award and Honor

Dr. Meenakshi B has received numerous awards and honors throughout her distinguished career in Information and Communication Engineering 🎓📡. She has been recognized for achieving 100% results in various subjects, demonstrating her exceptional teaching abilities and dedication to student success 🏅📈. Her innovative projects have secured significant funding, including grants from DST-IEDC and the Tamil Nadu State Council for Science and Technology for her pioneering work in water desalination and waste management systems 🌿🔧. Dr. Meenakshi’s contributions to research and development have been acknowledged through multiple patents in areas such as IoT-based systems, AI-driven applications, and wireless sensor networks 📜🤖. She is also a recipient of numerous professional accolades, reflecting her commitment to advancing technology and education in her field 🌐📚.

 

Research Skills

Dr. Meenakshi B possesses a diverse and advanced skill set in research, particularly in Information and Communication Engineering 🎓📡. Her expertise includes the synthesis and application of complex engineering principles to solve real-world problems, such as energy-efficient wireless sensor networks and neural networks 💡🔬. She has a proven ability to publish high-quality research, with numerous contributions to national and international journals and conferences 📝🌍. Dr. Meenakshi excels in project management, having successfully secured and managed funded projects focused on innovative technologies like water desalination systems and waste disposal management 🌿🔧. Her proficiency in guiding and mentoring students and colleagues, combined with her hands-on experience in consultancy projects, underscores her capability to bridge the gap between theoretical research and practical application 👩‍🏫🤝.

Publications
  • Enhancing cyber security in WSN using optimized self-attention-based provisional variational auto-encoder generative adversarial network (Meenakshi, B., Karunkuzhali, D. Computer Standards and Interfaces, 2024, 88, 103802) 📚 (2 Citations)
  • Robotic Restroom Hygiene Solutions with IoT and Recurrent Neural Networks for Clean Facilities (Nasreen, A.K., Shenbagapriya, M., Seeni, S.K., … Meenakshi, B., Murugan, S. 7th International Conference on Inventive Computation Technologies, ICICT 2024, pp. 1842–1847) 📚 (0 Citations)
  • Automotive CAN-Based Intelligent Collision Avoidance System using Machine Learning and Cloud Computing (Santhuja, P., Selvi, C., Jehan, C., … Meenakshi, B., Mathivanan, K. Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024, pp. 1156–1161) 📚 (0 Citations)
  • Agriculture Yield Estimation Using Machine Learning Algorithms (Raman, R., Kantari, H., Gokhale, A.A., … Meenakshi, B., Srinivasan, S. 2024 International Conference on Automation and Computation, AUTOCOM 2024, pp. 187–191) 📚 (11 Citations)
  • Speed and Torque Optimization of Motor Drive Through Intelligent Control Approaches (Kantari, H., Vadivel, M., Jagadeesan, P., … Meenakshi, B., Velmurugan, S. 2024 International Conference on Automation and Computation, AUTOCOM 2024, pp. 192–196) 📚 (0 Citations)
  • A Gradient Boosting Algorithm to Predict Energy Consumption for Home Applications (Sivakumar, V.G., Arunfred, N., Anusha, N., … Meenakshi, B., Sujatha, S. 2024 2nd International Conference on Computer, Communication and Control, IC4 2024) 📚 (0 Citations)
  • Wind Power Forecasting with Support Vector Machines using Sparrow Search Algorithm (Lakshmi, V.V., Giriprasad, S., Vimal, S.P., … Meenakshi, B., Srinivasan, S. 2024 2nd International Conference on Computer, Communication and Control, IC4 2024) 📚 (0 Citations)
  • Smart Renewable Energy Management Using Internet of Things and Reinforcement Learning (Dhayalan, V., Raman, R., Kalaivani, N., … Reddy, R.S., Meenakshi, B. 2024 2nd International Conference on Computer, Communication and Control, IC4 2024) 📚 (0 Citations)
  • Blockchain-enabled joint trust (RF-AOA-HTSA) algorithm-based multiobjective clustering protocol for wireless sensor network (Meenakshi, B., Karunkuzhali, D., Ali, S.M. Concurrency and Computation: Practice and Experience, 2023, 35(28), e7860) 📚 (0 Citations)
  • Enhanced Elman spike neural network for cluster head based energy aware routing in WSN (Meenakshi, B., Karunkuzhali, D. Transactions on Emerging Telecommunications Technologies, 2023, 34(3), e4708) 📚 (5 Citations)