Bipul Bezbaruah | Computational Chemistry | Best Faculty Award

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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

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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

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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

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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

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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

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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)

 

Shabir Ahmad Bhat | Development of Luminescent Lanthanide Coordination Complexes | Best Researcher Award

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Assist Prof. Dr. Shabir Ahmad Bhat | Development of Luminescent Lanthanide Coordination Complexes | Best Researcher Award

 

Assistant professor of J&K Higher Education Department, India

Dr. Shabir Ahmad Bhat 🎓, an esteemed Assistant Professor of Chemistry specializing in Organic Chemistry, has a rich academic background and a strong research portfolio. Born on October 15, 1988 🎂, in Krangsoo Mattan Anantnag, J&K, he completed his Ph.D. at Jamia Millia Islamia in 2021, focusing on the design and development of efficient light-converting lanthanide complexes. His academic journey is marked by excellence, with first-class results in his 10th and 12th grades from JKBOSE 🏆, and B.Sc., M.Sc., and B.Ed. degrees from Kashmir University 🎓. Dr. Bhat’s research interests include the synthesis and optical properties of lanthanide β-diketonate complexes, crucial for applications in OLEDs and biological systems 🌟. Notable achievements include clearing the JKSET/SLET in 2013 and securing an All India Rank of 21 in the CSIR-JRF examination in 2015.

Professional Profile:

 

Education

Dr. Shabir Ahmad Bhat’s educational journey is a testament to his dedication and academic excellence 📚. He began with a strong foundation, achieving first-class results in his 10th grade (2004) with 76% and 12th grade (2006) with 68.33%, both from JKBOSE 🏆. He pursued his B.Sc. in 2009 from Kashmir University, where he maintained his high standards with a first-division score of 63.16% 🎓. Continuing his studies at Kashmir University, he completed his M.Sc. in 2012, securing 67.41% 🧪. Dr. Bhat further enhanced his qualifications with a B.Ed. in 2013, achieving an impressive 77.20% 🏅. His academic journey culminated with a Ph.D. from Jamia Millia Islamia in 2021, where he specialized in the design and development of efficient light-converting lanthanide complexes 🌟.

 

Professional Experience

Dr. Shabir Ahmad Bhat has been making significant strides in the field of chemistry since his appointment as an Assistant Professor of Chemistry on April 6, 2017 🎓. Specializing in Organic Chemistry, he has been dedicated to both teaching and research, inspiring students and contributing to the scientific community 🧪. His professional journey is marked by a commitment to academic excellence and innovative research, particularly in the synthesis and optical properties of lanthanide β-diketonate complexes 🔬. Dr. Bhat’s work involves designing new β-diketones and heterocyclic bases, with applications spanning organic light-emitting diodes (OLEDs) and biological systems 🌟. His achievements in securing notable qualifications such as JKSET/SLET and CSIR-JRF AIR 21 further highlight his expertise and dedication to advancing the field 🏆. Dr. Bhat’s professional experience is characterized by a blend of teaching, mentoring, and groundbreaking research, making him a valuable asset to the academic and scientific communities 📚💡.

Research Interest

Dr. Shabir Ahmad Bhat’s research interests are deeply rooted in the fascinating field of Organic Chemistry, with a particular focus on the synthesis and optical properties of lanthanide β-diketonate complexes 🌟🔬. He is passionate about exploring the steady-state and time-resolved photoluminescence of these complexes, aiming to understand and enhance their light-converting efficiencies 📈. Dr. Bhat is dedicated to designing new β-diketones and heterocyclic bases, investigating their potential to transfer UV- or visible-light absorbed energy to lanthanide ions. His work is pivotal for innovative applications in organic light-emitting diodes (OLEDs) and various biological systems, contributing to advancements in both technology and healthcare 🧬💡. Dr. Bhat’s interdisciplinary approach and commitment to pushing the boundaries of photoluminescent materials underscore his significant impact on the field 🔝.

Award and Honor

Dr. Shabir Ahmad Bhat has earned several prestigious awards and honors that underscore his excellence and dedication in the field of chemistry 🎓. Notably, he cleared the Jammu & Kashmir State Eligibility Test (JKSET/SLET) in 2013, a testament to his academic prowess and subject expertise 🏆. Further highlighting his research capabilities, he secured an impressive All India Rank of 21 in the CSIR-JRF examination in 2015 🥇. These accolades reflect Dr. Bhat’s commitment to advancing scientific knowledge and his exceptional skill in organic chemistry and research methodologies 🔬. His achievements are a source of inspiration and pride, marking him as a distinguished scholar in his field 🌟.

 

Research Skills

Dr. Shabir Ahmad Bhat possesses a robust set of research skills honed through years of dedicated study and experimentation in the field of Organic Chemistry 🔬. His expertise lies in the synthesis and characterization of lanthanide β-diketonate complexes, focusing on their optical properties and photoluminescence 📈. Dr. Bhat is adept at designing new β-diketones and heterocyclic bases, exploring their potential to transfer UV- or visible-light absorbed energy to lanthanide ions 🌟. This research is crucial for developing advanced applications in organic light-emitting diodes (OLEDs) and various biological systems 🧬. His innovative approach and technical proficiency in both steady-state and time-resolved photoluminescence studies highlight his ability to contribute significantly to the advancement of photoluminescent materials and their applications in cutting-edge technology 💡.

Publications:
  • Photophysical properties of tris(benzoyltrifluoroacetonate)Eu(III) with pyrazole complex and its precursor (Ali, F., Hasan, N., Ahmad Bhat, S., … Kumar Jain, A., Ahmad Khan, S. Inorganica Chimica Acta, 2024, 564, 121934) 📚
  • 1D-photosensitized lanthanide polymers with flexible 4, 4′-bipyridyl linker (Ahmad Bhat, S., Ahmad Zargar, R., Hasan, N., … Wankar, S., Iftikhar, K. Journal of Photochemistry and Photobiology A: Chemistry, 2024, 449, 115396) 📚
  • Evidencing the NIR luminescence and longer lifetime from ytterbium complex constructed from perfluorinated β-diketone and heteroatom based ancillary ligand (Bhat, S.A., Hasan, N., Zargar, R.A., Wankar, S., Rawat, J. Journal of Molecular Structure, 2024, 1299, 137016) 📚
  • Color tuning and violet light emission via coordination of pyrazole in tris(benzoyltrifluoroacetonate)Sm(III) (Ali, F., Hasan, N., Bhat, S.A., … Jain, A.K., Khan, S.A. Optical Materials, 2024, 148, 114877) 📚
  • Growth of TiO2–CdO coated films: A brief study for optoelectronic applications (Zargar, R.A., Arora, M., Bhat, S.A., … Manthrammel, M.A., Shkir, M. Journal of Physics and Chemistry of Solids, 2023, 179, 111390) 📚
  • Nano-metal oxide-based materials for contaminated soil treatment (Zargar, R.A., Yatoo, S.A., Bhat, S.A., … Bhat, A.J., Arora, M. Metal Oxide-Based Carbon Nanocomposites for Environmental Remediation and Safety, 2023, pp. 195–205) 📚
  • Metal Oxide-Based Light-Emitting Diodes (Bhat, S.A., Wankar, S., Rawat, J., Zargar, R.A. Metal Oxide Nanocomposite Thin Films for Optoelectronic Device Application, 2023, pp. 295–316) 📚
  • Experimental Realization of Zinc Oxide: A Comparison Between Nano and Micro-Film (Zargar, R.A., Bhat, S.A., Khan, M.I., … Ahmed, I., Shkir, M. Metal Oxide Nanocomposite Thin Films for Optoelectronic Device Application, 2023, pp. 45–64) 📚
  • NIR luminescence, hypersensitivity in the 4f ‒ 4f absorption spectra and NMR of seven-, eight- and nine-coordinate ternary neodymium(III) complexes (Bhat, S.A., Iftikhar, K. Optical Materials, 2021, 122, 111660) 📚
  • Optical Properties of New Terbium(III) Ternary Complexes Containing Anionic 6,6,7,7,8,8,8-heptafluoro-2,2-dimethyl-3,5-octanedione and Neutral Sensitizers in Solution, Solid and PMMA Thin Films: Intra and Interphase Colour Tuning (Ahmad Bhat, S., Iftikhar, K. Photochemistry and Photobiology, 2021, 97(4), pp. 688–699) 📚

Arijit De | Computational Modeling | Best Researcher Award

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Mr Arijit De | Computational Modeling | Best Researcher Award 

Senior Research Fellow at  Jadavpur University ,Kolkata, India

Arijit De is a seasoned Machine Learning Engineer with over 6 years of expertise in the field. 🌟 His skills span data science, Python programming, and SQL, adeptly applied in projects using PyTorch, TensorFlow, and OpenCV. Arijit has a strong background in Computer Vision and Natural Language Processing, contributing to end-to-end ML solutions. Currently, he leads deep learning pipeline development at mVizn Pte. Ltd., focusing on semantic segmentation of 3D point clouds. His career includes impactful roles at TCS and as a TCS Research Fellow at Jadavpur University, where he developed innovative ML solutions for healthcare and data quality enhancement projects.

Profile:

Scopus 

📚 Education:

Arijit De has pursued an extensive academic journey culminating in a pending PhD from Jadavpur University, focusing on cutting-edge research in Machine Learning. He holds an M.Tech in Computer Science & Engineering and a B.Tech from Techno India, Kolkata, showcasing his academic prowess with impressive GPAs. Arijit has augmented his academic achievements with certifications such as Deep Learning and TensorFlow from Deeplearning.ai, underscoring his commitment to staying at the forefront of technological advancements in AI. His academic and certification credentials solidify his expertise in applying theoretical knowledge to practical ML solutions, driving innovation in the field.

 

👨‍🏫 Professional Experience

As a Machine Learning Engineer at mVizn Pte. Ltd., Arijit spearheads the development of DL pipelines for semantic segmentation, optimizing data processing and deploying models in web applications. His tenure at TCS Research Fellow focused on Alzheimer’s disease classification and brain tumor detection using advanced ML techniques.

 

Skills and Technologies

Arijit’s proficiency extends across Python, Java, C++, and SQL, alongside technologies such as PyTorch, TensorFlow, and OpenCV. He leverages cloud platforms like Microsoft Azure and possesses theoretical expertise in Deep Learning, Computer Vision, and NLP.

 

 

Research focus:

Arijit De’s research focus is likely centered around the application of machine learning (ML) and data science techniques to solve real-world problems. Specifically, his interests may include:

  1. Machine Learning Development: Arijit has extensive experience in developing end-to-end ML solutions using frameworks like PyTorch, TensorFlow, and Scikit-Learn. His research may involve advancing ML algorithms, improving model performance, and exploring novel applications of ML in various domains.
  2. Computer Vision: Given his proficiency in OpenCV and experience in Computer Vision principles, Arijit may be researching topics related to image and video analysis, object detection and recognition, and image processing techniques using ML.
  3. Natural Language Processing (NLP): With skills in NLTK and likely other NLP tools, Arijit may be interested in research related to text analysis, sentiment analysis, language modeling, and other NLP applications.
  4. Data Analysis and Visualization: Arijit’s expertise in Python and SQL for data analysis and visualization suggests he may also be involved in research focused on deriving insights from large datasets, exploratory data analysis, and developing visualization techniques to communicate complex data.
  5. Cloud Computing and Deployment: Knowledge of deploying ML applications on cloud platforms indicates research interest in scalable and distributed ML systems, cloud-native ML architectures, and optimizing ML models for deployment in cloud environments.
  6. Project Management and Risk Management: Arijit’s background in planning, estimation, and risk management of projects suggests a practical focus on applying ML and data science methodologies in industry settings, ensuring project success and mitigating risks.

Citations:

Citations: 42 📑

Documents: 7 📄

h-index: 2📈

 

Publication Top Notes:

 

Najmul Hasan | inorganic photochemistry | Best Researcher Award

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Dr Najmul Hasan | Lanthanide photochemistry |  Best Researcher Award   

Assistant Professor  at  Jamia Hamdard, New Delhi, India

Dr. Najmul Hasan is a distinguished faculty member in the Department of Chemistry at the School of Chemical & Life Sciences, Jamia Hamdard (Deemed to be University), New Delhi, India. With extensive experience in the field of chemistry, Dr. Hasan is recognized for his contributions to research and education within the university. He holds the position at Cabin No. 16 within the department, where he engages in various academic and research activities. Dr. Hasan’s expertise and dedication to the field are reflected in his involvement in numerous scientific projects and publications, enhancing the academic environment at Jamia Hamdard.

Profile:

Scopus 

📚 Education:

  • Ph.D. in Photochemistry of Lanthanide Complexes
    🏫 Jamia Millia Islamia, New Delhi, India
    🎓 Completed on September 16, 2020
  • Master of Science (M.Sc.) in Inorganic Chemistry
    🏫 Aligarh Muslim University, Aligarh, Uttar Pradesh, India
    🎓 Completed in 2011
  • Bachelor of Science (B.Sc.) in Chemistry
    🏫 Khusro Memorial Degree College, Bareilly (M. J. P. Rohilkhand University), Uttar Pradesh, India
    🎓 Completed in 2007
  • Intermediate (12th Grade)
    🏫 Government Inter College, Amaria, Pilibhit (U.P. Board), Uttar Pradesh, India
    🎓 Completed in 2003
  • High School (10th Grade)
    🏫 G. N. H. S. School, Bhainsaha, Pilibhit (U.P. Board), Uttar Pradesh, India
    🎓 Completed in 2001

 

 

👨‍🏫 Professional Experience

  • Assistant Professor, Jamia Hamdard
    🗓️ June 21, 2021 – December 20, 2021 (6 months, contractual)
    💰 Pay Scale: ₹50,000/month
  • Assistant Professor, Jamia Hamdard
    🗓️ December 24, 2021 – December 23, 2022 (1 year, contractual)
    💰 Pay Scale: ₹50,000/month
  • Assistant Professor, Jamia Hamdard
    🗓️ December 24, 2022 – June 23, 2023 (6 months, contractual)
    💰 Pay Scale: ₹50,000/month
  • Assistant Professor, Jamia Hamdard
    🗓️ June 24, 2023 – Present (1 year, contractual)
    💰 Pay Scale: ₹50,000/month

 

🏅 Honours and Awards:

  • Basic Sciences Research (BSR) Fellowship
    Awarded in 2015 by the University Grants Commission (UGC), Government of India

 

Research focus:

Dr. Najmul Hasan’s research focuses on inorganic photochemistry, particularly the photochemistry of lanthanide complexes 🌟🔬. He investigates the interactions between light and lanthanide compounds, exploring their unique photophysical and photochemical properties 📸. This research is crucial for developing new luminescent materials, enhancing imaging techniques, and creating innovative photonic devices 🌈🧪. Dr. Hasan’s work contributes to the advancement of materials science and technology, providing insights into the practical applications of lanthanide photochemistry in areas such as lighting, displays, and medical diagnostics 🌐💡🧬.

Citations:

Citations: 114 📑

Documents: 12 📄

h-index: 5 📈

Publication Top Notes:

 

Utpal Nandi | Cognitive Evolution | Best Researcher Award

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Dr Utpal Nandi |  Cognitive Evolution |   Best Researcher Award 

Assistant Professor at  Vidyasagar University, India

Profile:

Scopus 

Education:

🎓 Doctor of Philosophy (Ph.D.)

  • Year: 2018
  • University: University of Kalyani

🎓 Master of Technology (M.Tech)

  • Year: 2009
  • University: University of Kalyani

🎓 Master of Science (M.Sc.)

  • Year: 2006
  • University: Vidyasagar University

Professional Experience:

👨‍🏫 Assistant Professor (Grade-II)

  • University: Vidyasagar University
  • Location: Paschim Medinipur
  • Duration: 2014 — Present

👨‍🏫 Assistant Professor

  • Institution: Bangabasi College
  • Location: Kolkata
  • Duration: 2014

👨‍🏫 Assistant Professor

  • Institution: ACADEMY OF TECHNOLOGY
  • Location: HOOGHLY
  • Duration: 2012 — 2014

👨‍🏫 Assistant Professor

  • Institution: Bankura Unnayani Institute of Engineering
  • Location: Bankura
  • Duration: 2009 — 2012

Honours and Awards:

🏆 Best Research Paper Award – 2023

Event: International Conference on Evolutionary Artificial Intelligence (ICEAI 2023)

Institution: Taylor’s University, Malaysia

📚 Research and Publication Award for 2022 (Platinum Club Member)

Institution: Vidyasagar University

📚 Research and Publication Award for 2021 (Silver Club Member)

Institution: Vidyasagar University

🎓 First Class First (Gold Medalist) in M.Tech – 2009

University: University of Kalyani

🎓 GATE Scholarship – 2007

Funding Source: MHRD Govt. of India

🎓 First Class Second (Silver Medalist) in M.Sc. – 2006

University: Vidyasagar University

Research focus:

Dr. Utpal Nandi specializes in computational biology and bioinformatics, utilizing advanced algorithms and data analysis techniques to unravel complex biological processes. His research focuses on understanding the interplay between genes, proteins, and cellular mechanisms, aiming to decipher the molecular basis of diseases and develop novel therapeutic strategies. 🧬 His work integrates computational modeling with biological experimentation, contributing to the fields of genomics and proteomics. Dr. Nandi’s expertise lies in applying machine learning and statistical methods to big data sets, providing insights into evolutionary biology and biomedical research. His contributions are pivotal in advancing personalized medicine and precision healthcare.

Citations:

  • 🔢 Citations: 203 citations
  • 📑 Publications: 37 documents
  • 📈 h-index: 8

Publication Top Notes:

Spoken Word Recognition Using Voiceless Articulatory Consonants

Journal: International Journal of Information Technology (Singapore), 2024

Deep Neural Network Model for Crop Disease Classification

Journal: Multimedia Tools and Applications, 2024

ATCBBC: A Novel Optimizer for Neural Network Architectures

Book Chapter: Signals and Communication Technology, 2024
emapDiffP: Learning Algorithm for CNN Optimization

Journal: Neural Computing and Applications, 2024

Opposition-Based Chaotic Tunicate Swarm Algorithms

Journal: IEEE Access, 2024
sqFm: Adaptive Optimization Scheme for Deep Learning

Journal: Evolutionary Intelligence, 2024

Image Steganography Based on Difference of Gaussians

Journal: Multimedia Tools and Applications, 2023

Indian Sign Language Recognition Using Spatial Transformer Network

Journal: Neural Computing and Applications, 2023
Citations: 2

Ensemble Learning-Based Model for Network Intrusion Detection

Journal: Complex and Intelligent Systems, 2023
Citations: 16

DiffMoment: Adaptive Optimization Technique for CNN

Journal: Applied Intelligence, 2023
Citations: 6