ARUNACHALASIVAMANI PONNUSAMY | Technology | Young Scientist Award

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Mr. ARUNACHALASIVAMANI PONNUSAMY | Technology |Best Researcher Award

šŸ‘Øā€šŸ«Profile Summary

Arunachalasivamani Ponnusamy is a highly motivated researcher pursuing a Doctorate in Food Science and Technology at Prince of Songkla University, Thailand. With a background in Fisheries Science and a master’s degree in Fish Processing Technology, he specializes in diverse research areas, including carbon dots synthesis, edible-active biofilms, and health management of food products. Ponnusamy has published impactful papers, showcasing his expertise in multifunctional films and nanofibrous electrospun blisters. His lab-oriented skills encompass biochemical techniques, lipid oxidation analysis, and microbiological techniques. Awarded prestigious fellowships, he possesses proficiency in MS Office, Origin Pro, and has bilingual proficiency in Tamil and English. Trusted character references commend his work.

šŸŒ Professional Profiles

šŸŽ“ Education:

Secondary Schooling: Sri Vidya Mandir Matric Higher Secondary School, Tamil Nadu, India (2012-2013), Higher Secondary Schooling: Sri Vidya Mandir Matric Higher Secondary School, Tamil Nadu, India (2014-2015), Bachelor of Fisheries Science (B.F.Sc): Dr. MGR Fisheries College and Research Institute, Tamil Nadu, India (2015-2019), Master of Fisheries Science (M.F.Sc) in Fish Processing Technology: Kerala University of Fisheries and Ocean Studies, Kerala, India (2019-2021)

šŸ”¬ Current Research Works:

Carbon dots from agro-wastes and seafood wastes: Morphology, properties, toxicity, and antimicrobial properties. Chitosan-gelatin nanofiber-based multifunctional films integrated with carbon dots and anthocyanins from Clitoria ternatea for active and intelligent food packaging applications. Formation of functional nanofibrous electrospun blister containing EGCG for packaging of shrimp oil capsules.

šŸ” Research Interests:

Bio-engineering (R&D), Waste utilization and management, Health management (Enrichment or value addition of food products), Extraction of bioactive compounds from underutilized resources (seaweeds)

šŸŽ“ Area of Expertise:

Carbon dots synthesis, kinetics, and characteristics. Edible, active, and intelligent packaging techniques. Emulsion – Pickering Emulsion Nanoparticles synthesis and characterization. Shelf-life evaluation of food products

šŸ”¬ Lab-Oriented Skills:

  • Biochemical techniques
  • Lipid oxidation analysis
  • Microbiological techniques
  • Equipment handling

šŸ… Fellowship:

Awarded Reinventing University program for pursuing a Doctorate in Food Science and Technology at Prince of Songkla University, Hat Yai (2022-2025). Awarded National Talent Scholarship (NTS) for pursuing Post-graduation (M.F.Sc) degree (2019-2021).

 

šŸ“šTop Noted Publication

  1. “Storage stability of Asian seabass oil-in-water Pickering emulsion packed in pouches made from electrospun and solvent casted bilayer films from poly lactic acid/chitosan-gelatin blend containing epigallocatechin gallate.” – International Journal of Biological Macromolecules (2024). Link to Paper

 

  1. “Chitosan silver nanoparticle inspired seaweed (Gracilaria crassa) biodegradable films for seafood packaging.” – Algal Research, 78, 103429 (2024). Link to Paper

 

  1. “Bilayer Polylactic Acid and Chitosan/Gelatin Film Containing Epigallocatechin Gallate Prepared through Solvent Casting and Electrospinning: Properties, Bioactivities, and Release Kinetics.” – Journal of Polymers and the Environment (2023). Link to Paper

 

  1. “Ultrasound treated fish myofibrillar protein: Physicochemical properties and its stabilizing effect on shrimp oil-in-water emulsion.” – Ultrasonics Sonochemistry, 98, 106513 (2023). Link to Paper

Hajar Hakkoum | Machine learning | Best Scholar Award

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Dr. Hajar Hakkoum | Machine learning |Best Scholar Award

šŸ‘Øā€šŸ«Profile Summary

In my current role as a Postdoctoral Researcher at INRAE in Versailles, France, I specialize in plant cell cycle dynamics through image analysis and compressed fluorescence acquisition. As a Software Engineer at IS Technologies, Courbevoie, France, I contributed to robust server-side components, integrated AI APIs, and enhanced search engine recommendation systems. My Ph.D. in Machine Learning Interpretability from ENSIAS, UM5*, Rabat, involved groundbreaking research in medical AI, including mentoring fellow researchers and contributing to peer-reviewed journals. Proficient in Python, data mining, and deep learning, I possess strengths in scientific writing and presentation skills. Fluent in Arabic, English, French, Spanish, and German, I hold a C1 IELTS certification and received the Best Poster Award at the 15th International Conference on Health Informatics in 2022. Beyond my professional endeavors, I nurture a keen interest in languages, reading, and running. My educational background includes a Software Engineering Degree (Web & Mobile) from ENSIAS, UM5*, Rabat, and completion of Engineering Preparatory Classes at CPGE Salmane Al Faressi in SalƩ, Morocco.

šŸŒ Professional Profiles

šŸ“š Education:

Software Engineering Degree (Web & Mobile): ENSIAS, UM5*, Rabat, MAR (2016-2019). Engineering Preparatory Classes: CPGE Salmane Al Faressi, SalƩ, MAR (2014-2016)

šŸ” Professional Experience:

Postdoctoral Researcher INRAE, Versailles, FR (March 2024 ā€“ Present) Conducting image analysis of plant cell cycle dynamics. Implementing compressed fluorescence acquisition techniques.. Software Engineer IS Technologies, Courbevoie, FR (October 2022 ā€“ February 2024) Developing robust server-side components using ASP.NET and PostgreSQL. Analyzing and integrating AI APIs for text translation, camera filters, and ChatGPT. Enhancing search engine recommendation systems and assessing employee/user satisfaction using Python. PhD in Machine Learning Interpretability in Medicine ENSIAS, UM5, Rabat, MAR (January 2020 ā€“ April 2023) Conducting a systematic literature review on interpretability techniques in medicine. Quantitatively evaluating the interpretability of ML black-box models in medicine. Assessing the impact of categorical feature encoding on ML interpretability techniques in medicine. Guiding two new PhD students in research projects on ML interpretability in Biodiversity and Cybersecurity. Publishing research papers in reputable peer-reviewed journals and conferences emphasizing the significance of interpretability in medical AI. Contributing to the peer-review process within the medical AI domain as a reviewer for the Scientific African journal (Q2 with IF: 2.9). PhD Internship (ERASMUS) Facultad de InformĆ”tica, Murcia, SP (January – June 2022) Investigating the impact of categorical data on interpretability techniques. Participating in interdisciplinary discussions to bridge the gap between ML and domain experts’ needs. Projects and Internships: Final Degree Project – Research Initiation: Interpretability of ANNs for breast cancer diagnosis (Python). Third Year Project – Handwritten Digits and French Numbers Image Recognition using CNNs and collected images (Python). Second Year Internship – ChatBot development for Banks Q/A (.NET). First Year Internship – Checks Amounts Validation for Banks (C#, Azure APIs).

šŸ† Certificates:

IELTS: C1 (8.5 Reading & Listening, 7.5 Speaking, and 6.5 Writing). Best Poster Award: 15th International Conference on Health Informatics (2022)

šŸŽÆ Interests:

Languages: “A different language is a different vision of life.” Reading: “A reader lives a thousand lives before he dies.” Running: “Exercise is a tribute to the heart.”

 

šŸ“šTop Noted Publication

  1. “Interpretability in the medical field: A systematic mapping and review study” (2022, Applied Soft Computing):
    • This paper likely serves as a comprehensive review and mapping study on the topic of interpretability in the medical field, possibly summarizing existing research and identifying trends or gaps in the literature.

 

  1. “Assessing and comparing interpretability techniques for artificial neural networks breast cancer classification” (2021, Computer Methods in Biomechanics and Biomedical Engineering):
    • The focus here is on assessing and comparing interpretability techniques specifically applied to artificial neural networks for breast cancer classification. The paper likely delves into the methods used to make these complex models interpretable.

 

  1. “Ensemble blood glucose prediction in diabetes mellitus: A review” (2022, Computers in Biology and Medicine):
    • This study appears to be a review on ensemble methods for predicting blood glucose levels in the context of diabetes mellitus, exploring the various techniques employed in aggregating predictions for improved accuracy.

 

  1. “Artificial neural networks interpretation using LIME for breast cancer diagnosis” (2020, Trends and Innovations in Information Systems and Technologies):
    • This paper seems to focus on the interpretability of artificial neural networks for breast cancer diagnosis, specifically using the Local Interpretable Model-agnostic Explanations (LIME) technique.

 

  1. “A Systematic Map of Interpretability in Medicine” (2022, HEALTHINF):
    • This paper likely provides a systematic map, possibly a visual representation, of interpretability in medicine. It could outline the landscape of interpretability techniques, their applications, and potential challenges in the medical field.

 

  1. “Global and local interpretability techniques of supervised machine learning black box models for numerical medical data” (2024, Engineering Applications of Artificial Intelligence):
    • This study seems to explore both global and local interpretability techniques applied to supervised machine learning models for numerical medical data. The emphasis is likely on making black-box models more understandable and transparent.

 

  1. “Evaluating Interpretability of Multilayer Perceptron and Support Vector Machines for Breast Cancer Classification” (2022 IEEE/ACS 19th International Conference on Computer Systems andā€¦):
    • This paper likely evaluates the interpretability of two different machine learning models, Multilayer Perceptron and Support Vector Machines, in the context of breast cancer classification.

 

ARUNACHALASIVAMANI PONNUSAMY | Technology | Best Researcher Award

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Mr. ARUNACHALASIVAMANI PONNUSAMY | Technology |Best Researcher Award

šŸ‘Øā€šŸ«Profile Summary

Arunachalasivamani Ponnusamy is a highly motivated researcher pursuing a Doctorate in Food Science and Technology at Prince of Songkla University, Thailand. With a background in Fisheries Science and a master’s degree in Fish Processing Technology, he specializes in diverse research areas, including carbon dots synthesis, edible-active biofilms, and health management of food products. Ponnusamy has published impactful papers, showcasing his expertise in multifunctional films and nanofibrous electrospun blisters. His lab-oriented skills encompass biochemical techniques, lipid oxidation analysis, and microbiological techniques. Awarded prestigious fellowships, he possesses proficiency in MS Office, Origin Pro, and has bilingual proficiency in Tamil and English. Trusted character references commend his work.

šŸŒ Professional Profiles

šŸŽ“ Education:

Secondary Schooling: Sri Vidya Mandir Matric Higher Secondary School, Tamil Nadu, India (2012-2013), Higher Secondary Schooling: Sri Vidya Mandir Matric Higher Secondary School, Tamil Nadu, India (2014-2015), Bachelor of Fisheries Science (B.F.Sc): Dr. MGR Fisheries College and Research Institute, Tamil Nadu, India (2015-2019), Master of Fisheries Science (M.F.Sc) in Fish Processing Technology: Kerala University of Fisheries and Ocean Studies, Kerala, India (2019-2021)

šŸ”¬ Current Research Works:

Carbon dots from agro-wastes and seafood wastes: Morphology, properties, toxicity, and antimicrobial properties. Chitosan-gelatin nanofiber-based multifunctional films integrated with carbon dots and anthocyanins from Clitoria ternatea for active and intelligent food packaging applications. Formation of functional nanofibrous electrospun blister containing EGCG for packaging of shrimp oil capsules.

šŸ” Research Interests:

Bio-engineering (R&D), Waste utilization and management, Health management (Enrichment or value addition of food products), Extraction of bioactive compounds from underutilized resources (seaweeds)

šŸŽ“ Area of Expertise:

Carbon dots synthesis, kinetics, and characteristics. Edible, active, and intelligent packaging techniques. Emulsion – Pickering Emulsion Nanoparticles synthesis and characterization. Shelf-life evaluation of food products

šŸ”¬ Lab-Oriented Skills:

  • Biochemical techniques
  • Lipid oxidation analysis
  • Microbiological techniques
  • Equipment handling

šŸ… Fellowship:

Awarded Reinventing University program for pursuing a Doctorate in Food Science and Technology at Prince of Songkla University, Hat Yai (2022-2025). Awarded National Talent Scholarship (NTS) for pursuing Post-graduation (M.F.Sc) degree (2019-2021).

 

šŸ“šTop Noted Publication

  1. “Storage stability of Asian seabass oil-in-water Pickering emulsion packed in pouches made from electrospun and solvent casted bilayer films from poly lactic acid/chitosan-gelatin blend containing epigallocatechin gallate.” – International Journal of Biological Macromolecules (2024). Link to Paper

 

  1. “Chitosan silver nanoparticle inspired seaweed (Gracilaria crassa) biodegradable films for seafood packaging.” – Algal Research, 78, 103429 (2024). Link to Paper

 

  1. “Bilayer Polylactic Acid and Chitosan/Gelatin Film Containing Epigallocatechin Gallate Prepared through Solvent Casting and Electrospinning: Properties, Bioactivities, and Release Kinetics.” – Journal of Polymers and the Environment (2023). Link to Paper

 

  1. “Ultrasound treated fish myofibrillar protein: Physicochemical properties and its stabilizing effect on shrimp oil-in-water emulsion.” – Ultrasonics Sonochemistry, 98, 106513 (2023). Link to Paper

Srinivasan Jayakumar | Organic | Best Researcher Award

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Ā Dr . Srinivasan Jayakumar | Organic | Best Researcher Award

šŸ‘Øā€šŸ«Profile Summary

Dynamic, versatile, and self-motivated Research Scientist with eight years of expertise in Synthetic Organic and Medicinal Chemistry. A pragmatic strategist adept at crafting research strategies aligned with organizational priorities. Proven ability to manage complex research schedules, delivering results on demanding projects.šŸ§Ŗ

Passionate about hands-on organic synthesis, possessing extensive knowledge in modern organic chemistry, crystallization techniques, metal-catalyzed reactions, and multi-step synthesis. Proficient in purification using flash column chromatography, Combi Flash, Gilson, Isolera, and spectroscopic characterization of novel compounds. Specialized in Drug discovery, Lead optimization, and Synthesis Characterization of Anti-viral Drugs, focusing on viral infections, macular degeneration, and neuropathic painšŸŒ

šŸŒ Professional Profiles

 

šŸŽ“ Education

Ph.D. in Organic Chemistry, National Tsing Hua University, Taiwan (2011-2020), Title: Synthesis of Quinolinoquinolines by a New Domino Reaction and Hinged Aromatic Compounds against Enterovirus 71, Masters in Chemistry, Gurunanak College, University of Madras, India (2003-2005) Bachelors in Chemistry, Gurunanak College, University of Madras, India (2000-2003)

šŸ”¬Ā Professional and Research Experience

Rensselaer Polytechnic Institute, Troy, NY (Jan 2022 ā€“ Present) Postdoctoral Research Associate (Department of Chemistry and Chemical Biology) Title: Synthesis of GlyT2 inhibitors to treat Neuropathic pain Albany College of Pharmacy and Health Sciences, Albany, NY (July 2020 ā€“ Dec 2021) Postdoctoral Research Associate (Department of Basic and Clinical Sciences, Department of Pharmaceutical Sciences) Title: Age-Related Macular Degeneration Syngene International Limited, India (June 2006 ā€“ Jan 2011) Research Associate II Job responsibilities include research and development of new synthetic pathways, Suzuki coupling, Grignard reaction, and monitoring reaction progress using analytical techniques.

šŸ“šĀ Editorial Board and Committee (2023-Present)

Editorial board member at the International Journal of Pharmacy and Chemistry, Editorial board member at Online Journal of Chemistry. Editorial board member at the International Journal of Science and Management Studies Editorial board member at Archives of Pharmacy & Pharmacology Research Community associate membership at ACS. Serving as a member of the Selection Committee for Graduate Scholarships and Awards at the University of Ottawa.

šŸ”Journal Reviewer and Peer- Reviewing

Demonstrated expertise in the organic and medicinal field through service as a reviewer for Eleven reputable organic chemistry journals. Reviewer at Pharmacy & Pharmacology International Journal.

šŸŒŸ Research Highlight

Participated in extramurally funded small molecule drug discovery research focusing on indications like dry AMD, neuropathic pain, and viral infections. Key projects include the design and development of novel transthyretin (TTR) tetramer kinetic stabilizers and inhibitors of glycine transporter 2 (GlyT2).

šŸ”¬Skillset

Synthesis, purification, and characterization of structurally diverse organic compounds, Broad knowledge of Synthetic Organic and Medicinal chemistry. Experience with using Chem Draw, Chem Sketch, ISIS draw, Beilstein, Reaxys, and SciFinder. Proven experience in synthetic organic chemistry, process optimization, and technology transfer. Purification using reverse-phase preparative HPLC and method development. Expertise in scale-up, product development, mass spectrometry, lead optimization, and peer

 

šŸ“šTop Noted Publication

  • “The efficacy of the analgesic GlyT2 inhibitor, ORG25543, is determined by two connected allosteric sites.”
    • Authors: Cantwell Chater, Ryan; Quinn, Ada; Wilson, Katie; Frangos, Zachary; Sutton, Patrick; Jayakumar, Srinivasan; Cioffi, Christopher; O’Mara, Megan; Vandenberg, Robert
    • Published: J. Neurochem. 2023, 00, 1ā€“20
    • DOI: 10.1111/jnc.16028

 

  • “Novel Phenylene Lipids That Are Positive Allosteric Modulators of Glycine Receptors and Inhibitors of Glycine Transporter 2”
    • Authors: Casey I. Gallagher, Zachary J. Frangos, Diba Sheipouri, Susan Shimmon, Meryem-Nur Duman, Srinivasan Jayakumar, Christopher L. Cioffi, Tristan Rawling, Robert J. Vandenberg
    • Published: ACS Chem. Neurosci. 2023, 14, 15, 2634ā€“2647
    • DOI: 10.1021/acschemneuro.3c00167

 

  • “Bis(Benzofuranā€“1,3-N,N-heterocycle)s as Symmetric and Synthetic Drug Leads against Yellow Fever Virus.”
    • Authors: Nitesh K. Gupta, Srinivasan Jayakumar, Wen-Chieh Huang, Pieter Leyssen, Johan Neyts, Sergey O. Bachurin, Jih Ru Hwu, Shwu-Chen Tsay
    • Published: Int. J. Mol. Sci. 2022, 23, 12675.
    • DOI: 10.3390/ijms232012675

 

  • “Identification of Transthyretin Tetramer Kinetic Stabilizers That Are Capable of Inhibiting the Retinol-Dependent Retinol Binding Protein 4-Transthyretin Interaction: Potential Novel Therapeutics for Macular Degeneration, Transthyretin Amyloidosis, and Their Common Age-Related Comorbidities.”
    • Authors: Christopher L. Cioffi, Arun Raja, Parthasarathy Muthuraman, Aravindan Jayaraman, Srinivasan Jayakumar, Andras Varadi, Boglarka Racz, Konstantin Petrukhin
    • Published: J. Med. Chem. 2021, 64, 13, 9010āˆ’9041.
    • DOI: 10.1021/acs.jmedchem.1c00099

 

  • “Enterovirus Inhibition by Hinged Aromatic Compounds with Polynuclei.”
    • Authors: Jih Ru Hwu, Avijit Panja, Srinivasan Jayakumar, Shwu-Chen Tsay, Kui-Thong Tan, WenChieh Huang, Yu-Chen Hu, Pieter Leyssen, Johan Neyts
    • Published: Molecules 2020, 25, 3821.
    • DOI: 10.3390/molecules25173821

 

  • “Synthesis and Human Anticancer Cell Line Studies on Coumarin- āˆ’carboline Hybrids as Possible Antimitotic Agents.”
    • Authors: S. Samundeeswari, Manohar V. Kulkarni, Shrinivas D. Joshi, Sheshagiri R. Dixit, Srinivasan Jayakumar, R. M. Ezhilarasi
    • Published: ChemistrySelect 2016, 1, 5019ļ€­5024.
    • DOI: 10.1002/slct.201601020

 

 

Jatin Chaudhary | Image processing | Young Scientist Award

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Ā Mr . Jatin Chaudhary | Image processing | Young Scientist Award

šŸ‘Øā€šŸ«Profile Summary

Ā Research trainee at the University of Pennsylvania’s Image Computing and Science Lab, focusing on medical imaging and software development. Ā Worked on aortic valve ultrasound data analysis, segmentation, and contributed to open-source software. Ā Research trainee at the University of Turku in Data Science & Machine Learning, utilizing Python and MATLAB for optimization problems in solar cells. Undergraduate researcher at SV National Institute of Technology, India, exploring advanced optics. Ā Achievements include independent research funding, travel funding, and recognition for research excellence. Ā Experienced mentor and private tuition teacher. Presented papers globally and awarded for innovation. Passionate about cutting-edge research at the intersection of technology and healthcarešŸŒŸ

šŸŒ Professional Profiles

 

šŸŽ“ Education

University of Turku, Department of Future Technologies, Turku, Finland, Doctoral Researcher (Data Science & Machine Learning) Supervisor: Prof. Jukka Heikkonen July 2021 ā€“ Present. Major Responsibilities: Mathematical Analysis of Algorithms, Dataset Preprocessing, Implementation of Algorithms, drafting Research Articles, etc. Working on Algorithm Designing of Image processing techniques for Satellite Images from Sentinel 1 and Sentinel 2 satellites. Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, India Bachelors of Technology (B.Tech) in Electronics and Communication Engineering 2017-2021 Cumulative GPA: 7.13/10

šŸ‘Øā€šŸ’¼ Professional Experience

Penn Image Computing and Science Laboratory, University of Pennsylvania (Remote, Part-time), Research Trainee (Medical Imaging and Software Development) Supervisor: Prof. Alison Pouch February 2021-Present Major Responsibilities: Data Analysis and Segmentation of Aortic Valve Ultrasound data using ITK Snap, VTK, MATLAB, C3D. Algorithm Designing of Image Segmentation of 4D image using C3D. Contribution to an open-source software. University of Turku, Department of Future Technologies, Turku, Finland Research Trainee (Data Science & Machine Learning)Supervisor: Prof. Jukka Heikkonen August 2018-May 2019 (Remote, Part-time) / June 2019-July 2019 (In-Person, Full Time) / August 2019-June 2021 (Remote, Part-time) Utilized Python (TensorFlow, Keras, scikit-learn, pandas) and LaTeX. MATLAB implementation of Artificial Neural Network techniques for the optimization problem of Single Junction Solar Cells. SV National Institute of Technology, Applied Physics Department, Surat, India Undergraduate Researcher (Advance Optics Research Laboratory) Supervisor: Prof. Vipul Kheraj September 2017-July 2018 Worked on the deflection of particle nature of light ray by a strong external electric and magnetic field.

šŸ’”Skills

Medical Imaging Analysis: ITK, VTK, C3D, Programming Languages: C++, Python, Machine Learning: Python libraries (Tensorflow, Keras, scikit-learn, numpy, pandas), Data Science Algorithms: Support Vector Machine, Convolutional Neural Network, Artificial Neural Network, Long Short Term Memory (LSTM), K Nearest Neighbour (KNN)

šŸš€Ā Projects

Bachelors’ Thesis (Advisor: Prof. Suman Deb) NIT, Surat Emotion Detection of Sound using Deep Learning for Emergency Usage (August 2020-May 2021) Working on Emotion Detection of sound data to deploy it to law enforcement agencies’ surveillance systems. Algorithms: SVM, CNN, LSTM, Inception model on Keras and Tensorflow.

šŸ“„Ā Paper and Poster Presentation

Oral presentation of paper entitled ā€œOptimization of Silicon Tandem Solar Cells Using Artificial Neural Networksā€ at the 39th SGAI International Conference on Artificial Intelligence, Cambridge University, England. Poster presentation of the paper entitled ā€œPerformance Analysis of Back Surface Field (BSF) Effects in Multijunction Photovoltaic Cellā€ at the 47th IEEE Photovoltaic Specialists Conference (PVSC), Canada (Virtual Meeting). Oral presentation of the paper entitled ā€œHuman Presence Detection with Thermal Sensor using Multilayer Perceptron Algorithmā€ at the 2021 IEEE 7th World Forum on Internet of Things (WF-IoT), New Orleans, Louisiana, USA (Virtual Meeting). Research Talk on ā€œNumerical Investigations on the Type-II Band Alignment and Quantum Efficiency of Multijunction Solar Cell using Andersonā€™s Ruleā€ at the Indian Institute of Technology (IIT), Roorkee, India.

šŸ‘Øā€šŸ« Teaching Experience

2022 (Mar-Sept): Supervisor Supervised two undergraduate students for their theses based on object detection at the harbor in Finland. 2020-2021: Private Tuition Teacher (Part-time) Tutored high school students in Elementary Physics, Mechanics and Relativity, Electricity and Magnetism, Calculus, Energy Science, and Technology. 2018-2020: Mentor Mentored younger undergraduate students on Computer Programming (Weekly). Provided guidance on C/Python Programming Language.

šŸ†Achievements

Secured independent funding from the University of Turku for two years of research. Funding Amount: 57,000 EUR. Secured travel funding from the Smarter Project (an EU project) for a research travel of up to six months. Funding Amount: 18,000 EUR (approx). Awarded the Research Excellence Award by the First Bionicsol Young India Innovator Contest in 2020. Awarded a scholarship for undergraduate studies by the Embassy of India, Kathmandu, under the Compex Scholarship Scheme.

 

šŸ“šTop Noted Publication

  • Liu M., Chaudhary J., Pouch A.
    • Title: Virtual Reality for Image-Based Quantitative Assessment of the Aortic Root.
    • Status: Ongoing

 

  • Chaudhary, J., Bhattacharya, S., Heikkonen, J., & Kanth, R.
    • Title: Optimization of Photovoltaic Cells using Artificial Intelligence Techniques: Systematic Literature Review
    • Status: To be submitted to Artificial Intelligence, Elsevier

 

  • Chaudhary, J., Pant, D. R., Pokharel, S., Skƶn, J. P., Heikkonen, J., & Kanth, R.
    • Title: Image Quality Assessment by Integration of Low-level & High-Level Features: Threshold Similarity Index.
    • Conference: 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)
    • Published: June 2022, pp. 135-141, IEEE

 

  • Chaudhary, J., Bhattacharya, S., Heikkonen, J., & Kanth, R.
    • Title: Prediction of Electron Band Gap of A2XY6 Perovskite Compounds using Machine Learning.
    • Conference: 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC)
    • Published: June 2022, pp. 1173-1176, IEEE

 

  • Chaudhary, J.K., Liu, J., Skƶn, J.-P., Chen, Y.W., Kanth, R.K., Heikkonen, J.
    • Title: Optimization of Silicon Tandem Solar Cells Using Artificial Neural Networks.
    • Published: Lecture Notes in Computer Science, 2019, pp. 392ā€“403. DOI: 10.1007/978-3-030-34885-4_30

 

  • J. Chaudhary, R. Kanth, J. Skƶn, and J. Heikkonen
    • Title: Performance Analysis of Back Surface Field (BSF) Effects in Multijunction Photovoltaic Cell.
    • Conference: 47th IEEE Photovoltaic Specialists Conference (PVSC), 2020, pp. 1207-1211, DOI: 10.1109/PVSC45281.2020.9301018

 

  • J. K. Chaudhary, R. Kanth, J. Skƶn and J. Heikkonen
    • Title: Analysis and Enhancement of Quantum Efficiency for Multi-Junction Solar Cell.
    • Conference: 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC), 2019, pp. 0210-0214, doi: 10.1109/PVSC40753.2019.8980684

 

  • Kanth, R., Korpi, T., Toppinen, A., MyllymƤki, K., Chaudhary, J., Heikkonen, J.
    • Title: Educational Approach to the Internet of Things (IoT) Concepts and Applications.
    • Published: DOI: 10.5121/csit.2019.91320

 

  • L. Puurunen, J. Chaudhary, R. Kanth and J. Heikkonen
    • Title: Human Presence Detection with Thermal Sensor using Multilayer Perceptron Algorithm.
    • Conference: 2021 IEEE 7th World Forum on Internet of Things (WF-IoT), 2021, pp. 669-673, doi: 10.1109/WF-IoT51360.2021.9595529.