Jitao Wang | Consensus Protocol Security | Best Researcher Award

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Dr. Jitao Wang | Consensus Protocol Security | Best Researcher Award

PHD at Fudan University, China

Jitao Wang is a Ph.D. candidate at Fudan University, specializing in cross-chain protocols and blockchain security. With Double First-Class honors in Information Security and Software Engineering from Nanjing University of Posts and Telecommunications, he’s published papers in Computer Networks and holds patents in blockchain technology. Wang leads projects on cross-chain aggregation and blockchain-based secure document management. Experienced in Hyperchain alliance chain deployment, he interned at Hangzhou Chain Technology Co., Ltd., focusing on blockchain as a service platform. As Vice-President of the College of Computer Graduate Student Association, he mentors members and delivers keynotes. Wang’s skills include Rust, Go, Java, and certifications in Red Hat Engineering and English proficiency.

Professional Profiles

Education

Fudan University: Pursuing a Ph.D. in Electronic Information at the College of Computer Science and Technology, specializing in cross-chain protocols, BFT consensus protocols, and Web3 encryption asset regulatory frameworks. Nanjing University of Posts and Telecommunications: Completed a Master’s degree in Information Security and a Bachelor’s degree in Software Engineering, both with Double First-Class honors.

Project experience

Currently leading projects on cross-chain aggregation, blockchain-based secure document management, and carbon asset trading systems. Developed a vulnerability crowdsourcing detection system for blockchain-based code and identity privacy. Led the construction of a collaborative vulnerability processing platform based on blockchain.

Professional experience

Back-end development intern at Hangzhou Chain Technology Co., Ltd., focusing on blockchain as a service (BaaS) platform development. Experienced in Hyperchain alliance chain automated deployment and blockchain browser maintenance.

Skills

Proficient in Rust, Go, Java, HTML/CSS, Excel, PowerPoint, and LaTeX.

Research Focuse

J.-T. Wang’s research primarily focuses on Chemical Vapor Deposition (CVD) and its applications in inorganic synthesis. His work delves into the theories and mechanisms behind CVD processes, particularly in the context of materials preparation and thin film deposition. With expertise in modern thermodynamics and quantum chemical studies, Wang contributes significantly to understanding the initial stages of atomic layer deposition on various surfaces. His research spans from fundamental studies of adsorption and dissociation to practical applications in semiconductor device fabrication and surface engineering. Through his contributions, Wang enhances the understanding and advancement of CVD techniques in materials science and engineering.

Publications

  1. Chemical bonding of magnetron-sputtered copper on PECVD amorphous SiCOF film, Publication date: 2003.
  2. Density functional theory study of initial stage of ZrO 2 atomic layer deposition on Ge/Si(100)-(2×1) surface, Publication date: 2005.
  3. Quantum chemical study of adsorption and dissociation of HfCl4 and H2O on Ge/Si(100) − (2×1): Initial stage of atomic layer deposition of HfO2 on SiGe surface,Publication date: 2005.
  4. Modern thermodynamics – New concepts based on the second law of thermodynamics,  Publication date: 2009.
  5. Chapter 7 – CVD and its Related Theories in Inorganic Synthesis and Materials Preparations, Publication date: 2007.
  6. Chapter 7 – Chemical Vapor Deposition and Its Applications in Inorganic Synthesis, Publication date: 2017.
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Dhinesh Rajendiran | Adsorption Studies | Best Researcher Award

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. Dhinesh Rajendiran | Adsorption Studies | Best Researcher Award

PHD at

R. Dhinesh is a dedicated and passionate professional with a Master’s degree in Fisheries Science from Dr. M.G.R. Fisheries College and Research Institute, Ponneri, where he graduated with top honors. With hands-on experience in water and soil quality analysis, he has conducted notable research on the nutrient removal efficiency of biochar. Dhinesh possesses strong organizational and problem-solving skills, complemented by expertise in aquaculture and environmental management. Actively involved in extracurricular activities, he has volunteered for the NSS and excelled in sports. Fluent in English and Tamil, he seeks to leverage his skills in a challenging professional role.

Professional Profiles

  • Scopus
  • Orcid
  • Googlescholar

Education

Master of Fisheries Science (M.F.Sc) Dr.M.G.R. Fisheries College and Research Institute, Ponneri 92% 2022 Bachelor of Fisheries Science (B.F.Sc) Dr.M.G.R. Fisheries College and Research Institute, Ponneri 74% 2020 HSC PRG Higher Secondary School, Kaatumannarkoil 80.6% 2016 SSLC PRG Higher Secondary School, Kaatumannarkoil 86.6% 2014

Academic Work Experience:

Successfully completed the research work entitled “Comparative nutrient removal efficiency of biochar prepared from water hyacinth and sugarcane bagasse” as a part of M.F.Sc course. Hands-on experience in water and soil quality checking in the Soil and Water Chemistry Laboratory, TNJFU, Ponneri. Completed one month training with internship at Kowsalya Aqua Marine Products Exports Ltd., Chennai, and CP Aquaculture Pvt Ltd., Pondicherry during the final year of B.F.Sc. Undergone training at Centre for Sustainable Aquaculture (CESA) at five locations (Mandapam, Barur, Erode, Ganapathipuram, Thanjavur) as part of the experiential learning program of B.F.Sc.

Experienced Working Skills

Supervising, Environment management, Quality checking, Plant monitoring, Aquaculture.

Research Skills

Framing research design Sampling and sample design Data collection Data processing and analysis Interpretation skills Report writing

Achievements

Secured top rank with 92% marks in M.F.Sc (Aquatic Environment Management). Won second place in the volleyball match conducted in TNJFU Intercollegiate Tournament-2022, held at FCRI, Thoothukudi.

Research Focuse

 

Publications

  1. Catalytic transformation of dinitrogen into ammonia and hydrazine by iron-dinitrogen complexes bearing pincer ligand, Publication date: 2016.

 

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Kazunari Yoshizawa | Quantum Chemistry | Best Researcher Award

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Prof. Kazunari Yoshizawa | Quantum Chemistry | Best Researcher Award

PHD at Kyoto University, Japan

Kazunari Yoshizawa is the Vice Director of the Institute for Materials Chemistry and Engineering at Kyushu University in Fukuoka, Japan. He earned his PhD from Kyoto University, where he studied under Professors Kenichi Fukui and Tokio Yamabe. Yoshizawa’s career includes roles as a researcher at Nippon Kokan Steel Company, a JSPS Fellow, and a visiting scientist at Cornell University. He has held academic positions at Kyoto University and Kyushu University, where he became Professor Emeritus in 2024. Renowned for his contributions to chemistry, Yoshizawa has received numerous awards and serves as an associate editor for prominent chemistry journals.

Professional Profiles

Education

1978–1982: Kyoto University (Prof. Kenichi Fukui) 1982–1984: Graduate School of Engineering, Kyoto University 1989–1992: Graduate School of Engineering, Kyoto University Received a PhD (Prof. Tokio Yamabe)

Professional Career

1984–1988: Researcher at the Central Laboratory, Nippon Kokan Steel Company 1992–1994: JSPS Fellow at Kyoto University and at the Institute for Fundamental Chemistry 1994–1995: Visiting Scientist at Cornell University (Prof. Roald Hoffmann) 1995–1997: Assistant Professor at Kyoto University 1997–2001: Associate Professor at Kyoto University 2001–2024: Professor at Kyushu University 2024-: Professor Emeritus, Kyushu University and Researcher, Kyoto University

Awards and Honors

The Chemical Society of Japan BCSJ Award (8 times) The Chemical Society of Japan Award for Creative Work (2011) Brown & Williamson Distinguished Guest Speaker, Louisville University (2016) The Japan Coordination Chemistry Society Award (2018) The Japan Society for Molecular Science Award (2022) The Chemical Society of Japan Award (2024)

Research Focuse

K. Yoshizawa’s research primarily focuses on theoretical and computational chemistry, with significant contributions to the understanding of chemical reactions and molecular properties using density functional theory (DFT) and other quantum chemical methods. His work encompasses a range of topics, including the mechanisms of enzyme-catalyzed reactions, quantum transport in molecular wires, and catalytic processes on nanoparticles. Yoshizawa has explored the activation of small molecules, such as methane, and the behavior of complex molecular systems, including carbon nanotubes and conductive polymers. His studies often bridge fundamental chemical theory with practical applications in catalysis and materials science.

Publications

  1. Catalytic transformation of dinitrogen into ammonia and hydrazine by iron-dinitrogen complexes bearing pincer ligand, Publication date: 2016.
  2. Catalytic reduction of dinitrogen to ammonia by use of molybdenum–nitride complexes bearing a tridentate triphosphine as catalysts, Publication date: 2015.
  3. Remarkable catalytic activity of dinitrogen-bridged dimolybdenum complexes bearing NHC-based PCP-pincer ligands toward nitrogen fixation, Publication date: 2017.
  4. Interplay between theory and experiment for ammonia synthesis catalyzed by transition metal complexes, Publication date: 2016.
  5. Direct transformation of molecular dinitrogen into ammonia catalyzed by cobalt dinitrogen complexes bearing anionic PNP pincer ligands, Publication date: 2016.
  6. Direct conversion of methane to methanol by metal-exchanged ZSM-5 zeolite (Metal= Fe, Co, Ni, Cu), Publication date: 2016.
  7. Methane selective oxidation to methanol by metal-exchanged zeolites: a review of active sites and their reactivity,Publication date: 2019.
  8. Catalytic nitrogen fixation via direct cleavage of nitrogen–nitrogen triple bond of molecular dinitrogen under ambient reaction conditions, Publication date: 2017.
  9. Roles of Zeolite Confinement and Cu–O–Cu Angle on the Direct Conversion of Methane to Methanol by [Cu2(μ-O)]2+-Exchanged AEI, CHA, AFX, and MFI Zeolitesm , Publication date: 2017.
  10. Phenylamine-functionalized mesoporous silica supported PdAg nanoparticles: a dual heterogeneous catalyst for formic acid/CO 2-mediated chemical hydrogen delivery/storage, Publication date: 2017.

 

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Sajjad Ali | Computational Methods | Best Researcher Award

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Dr. Sajjad Ali | Computational Methods | Best Researcher Award

PHD at Abdul Wali Khan University Mardan, Pakistan

Dr. Sajjad Ali is a Lecturer in Mathematics at Shaheed Benazir Bhutto University Sheringal, Dir (Upper), Pakistan. He received his Ph.D. in Mathematics from Abdul Wali Khan University Mardan in 2019. With over a decade of teaching experience, Dr. Ali specializes in Bio-Mathematics, Fractional Differential Equations, and Advanced Homotopy Methods. He supervises M.Phil and Ph.D. students and is involved in departmental administration. His research interests include mathematical modeling and computational methods. Dr. Ali is proficient in MATLAB, MS Office, Excel, and LaTeX, and he is fluent in Urdu, English, Pashto, and Khohar.

Professional Profiles

Education

Ph.D. in Mathematics (2015 – 2019) Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa, Pakistan M.Phil in Mathematics (2009 – 2012) Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa, Pakistan Bachelor of Education (B.Ed) (2007 – 2008) Allama Iqbal Open University, Islamabad, Pakistan Master of Science in Mathematics (2005 – 2007) University of Malakand Chakdara, Khyber Pakhtunkhwa, Pakistan Bachelor of Science in Mathematics (2002 – 2004) Government Degree College Tangi, Charsadda, Khyber Pakhtunkhwa, Pakistan F.Sc. Pre-Engineering (2000 – 2002) Government Degree College Tangi, Charsadda, Khyber Pakhtunkhwa, Pakistan Metric in Science (1999 – 2000) Government School No.2 Tangi, Charsadda, Khyber Pakhtunkhwa, Pakistan.

Skills

Research in Mathematics Teaching and Administrative Skills Software MATLAB MS Office Excel LaTeX

Work History

Shaheed Benazir Bhutto University Sheringal, Dir (Upper), Pakistan Lecturer in Mathematics (2011 – Present) Teaching Ph.D./M.Phil courses in Bio-Mathematics, Fractional Differential Equations, and Advanced Homotopy Methods Teaching BS courses in Partial Differential Equations and Ordinary Differential Equations Supervising M.Phil and Ph.D. research students M.Phil/Ph.D. Coordinator in the Department of Mathematics Member of the Departmental Admission Committee Warden of Ihsan Boys Hostel Tameer e Seerat Degree College, Mardan Campus, Pakistan Lecturer in Mathematics (2010 – 2011) Taught graduate-level Mathematics Hostel Warden Farabi Degree College, Peshawar, Pakistan Lecturer in Mathematics (2009 – 2010) Taught graduate-level Mathematics Government Degree College, Tangi, Charsadda, Pakistan Lecturer in Mathematics (2007 – 2009) Taught graduate-level Mathematics

Interests

Mathematical modeling, Computational methods

Awards

Top Position Holder in Master of Mathematics at University of Malakand (2007) Awardee as Lecturer in Mathematics through the Higher Education Commission Pakistan (2008)

Research Focuse

Dr. Sajjad Ali’s research focuses on the numerical treatment and computational solutions of fractional order differential equations, with applications in reaction-diffusion systems, biological population models, and ion-acoustic waves. His work includes developing iterative and stable methods for solving boundary value problems of nonlinear fractional differential equations. Dr. Ali has collaborated extensively with international researchers, contributing to journals such as Chaos, Solitons & Fractals and the Journal of Advanced Research. His studies also explore the stability analysis and exact solutions of complex mathematical models, emphasizing fractional calculus and its applications in various scientific and engineering problems.

Publications

  1. Nonlinear coupling of upper-hybrid waves with lower-hybrid waves in a degenerate dense plasma, Publication date: 2021.
  2. Unstable mode of ion-acoustic waves with two temperature q-nonextensive distributed electrons, Publication date: 2021.
  3. Computation of solution to fractional order partial reaction diffusion equations, Publication date: 2020.
  4. On stable iterative solutions for a class of boundary value problem of nonlinear fractional order differential equations, Publication date: 2019.
  5. Computation of iterative solutions along with stability analysis to a coupled system of fractional order differential equations, Publication date: 2019.
  6. Approximate solutions to nonlinear fractional order partial differential equations arising in ion-acoustic waves, Publication date: 2019.
  7. Stable monotone iterative solutions to a class of bound-ary value problems of nonlinear fractional order differential equations, Publication date: 2019.
  8. Monotone iterative technique and Ulam-Hyers stability analysis for nonlinear fractional order differential equations with integral boundary value conditions, Publication date: 2019.
  9. Optimum solutions of space fractional order diffusion equation, Publication date: 2018.
  10. On Approximate solutions of fractional Order partial differential equations, Publication date: 2018.
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Yaghoub Tadi Beni | Mechanical engineering | Best Researcher Award

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Prof. Yaghoub Tadi Beni | Mechanical engineering | Best Researcher Award

PHD at Sharif University of Technology, Iran

Prof. Yaghoub Tadi Beni is a full professor of Solid Mechanics at Shahrekord University in Iran. He earned his B.Sc. degree in Solid Mechanics from Isfahan University of Technology in 2002, and M.Sc. and Ph.D. degrees in Mechanical Engineering from Sharif University of Technology in 2004 and 2009, respectively. His research focuses on micro/nano mechanics, modeling of micro/nano electromechanical systems (M/NEMS), nonlinear/nonclassical continuum mechanics, and the nonlinear stability of micro/nanostructures. With over 110 publications in international peer-reviewed journals and an h-index of 35, Prof. Tadi Beni is a prominent figure in his field.

Professional Profiles

Education

He earned his B.Sc. degree in Solid Mechanics from Isfahan University of Technology in 2002, and M.Sc. and Ph.D. degrees in Mechanical Engineering from Sharif University of Technology in 2004 and 2009

Fields of Research

Nano-Mechanics/Nano-structure Stability, Nonlinear/Nonclassical Continuum Mechanics, Nonlinear Analysis of Beams, Plates, and Shells, Nonlinear Finite Element Method.

Publications

Prof. Tadi Beni has published more than 110 research papers in international peer-reviewed journals, highlighting his extensive contributions to the fields of nano-mechanics and nonlinear mechanics.

Research Focuse

Prof. Yaghoub Tadi Beni’s research primarily focuses on the mechanics and stability of micro and nano-scale structures. His work includes size-dependent analysis of functionally graded materials, electromechanical systems, and piezoelectric nanostructures. Using advanced theories such as the modified couple stress theory and nonlocal strain gradient theory, Prof. Tadi Beni investigates free vibration, buckling, and bending behaviors of nanoshells, nanotubes, and nanobeams. His studies are crucial for the development of reliable nano-electromechanical systems (NEMS) and contribute significantly to the understanding of nonlinear and nonclassical continuum mechanics in micro/nanoscale science.

Publications

  1. Free vibration behaviour of composite laminated skew cylindrical shells reinforced with graphene platelets, Publication date: 2024.
  2. Generalized piezothermoelasticity of hollow spheres under thermal shock using Lord–Shulman theory, Publication date: 2024.
  3. On the generalized flexothermoelasticity of a microlayer, Publication date: 2024.
  4. Vibration analysis of rotating annular flexoelectric microplate, Publication date: 2024.
  5. Free vibration analysis of piezoelectric nano tube conveying fluid supported by a visco-Pasternak foundation, Publication date: 2023.
  6. Size-dependent coupled bending-torsional analysis of piezoelectric micro beams, Publication date: 2023.
  7. Power Law Nanofluid through Tapered Artery based on a‎ Consistent Couple Stress Theory, Publication date: 2023.
  8. Size-dependent coupled bending-torsional vibration of functionally graded carbon nanotube reinforced composite Timoshenko microbeams, Publication date: 2023.
  9. Effect of flexoelectricity on the Pull-in instability of beam-type NEMS, Publication date: 2023.
  10. On the vibration of size-dependent rotating flexoelectric microbeams, Publication date: 2024.
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Soichiro Tsuji | Electric propultion | Best Researcher Award

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Mr. Soichiro Tsuji | Electric propultion | Best Researcher Award

Researcher at The University of Tokyo, Japan

Soichiro Tsuji is a researcher specializing in plasma physics and electric propulsion, with a focus on ion engines and microwave discharge cathodes. He holds a Bachelor of Engineering Science from Kyoto University (2022) and is completing his Master of Engineering in Aeronautics and Astronautics at The University of Tokyo (2024). Tsuji has published multiple papers on performance enhancements for microwave discharge cathodes, presented at prominent conferences, and received the JSASS President Award at the 34th International Symposium on Space Technology and Science. His innovative work aims to advance space propulsion technologies.

Professional Profiles

  • Scopus
  • Orcid
  • Researchgate
  • LinkedIn

Education

Master of Engineering in Aeronautics and Astronautics The University of Tokyo (Mar. 2024) Bachelor of Engineering Science Kyoto University (Mar. 2022)

Awards & Achievements

JSASS President Award 34th International Symposium on Space Technology and Science, Kurume Fukuoka, Japan (2023)

Research Interests

Plasma Physics, Electric Propulsion, Ion Engine Cathode, Microwave Discharge Cathode

Research Focuse

 

Publications

  1. Polyclonal antibody production anti Pc_312-324 peptide. Its potential use in electrochemical immunosensors for transgenic soybean detection, cited by: 5,  Publication date: 2020.
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Anuradha Ravi | Smart Buildings | Best Researcher Award

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Dr. Anuradha Ravi | Smart Buildings | Best Researcher Award

PHD at IIT Roorkee, India

Dr. Anuradha Ravi is a Research Assistant Professor in the Information Systems Department at the University of Maryland Baltimore County. She specializes in distributed machine intelligence at the edge, low-power AI for IoT, and smart building management. Dr. Ravi earned her Ph.D. in Computer Science from IIT Roorkee, India, focusing on energy-efficient mobile cloud computing. Her professional journey includes research roles at Singapore Management University and academic positions at Shiv Nadar University. She has published extensively, supervised numerous research projects, and received accolades such as the SMU Research Excellence Award for her work on occupancy-aware energy utilization.

Professional Profiles

Education

Ph.D. in Computer Science Title: Energy Efficient Seamless Service Provisioning in Mobile Cloud Computing Indian Institute of Technology Roorkee, India (Jul 2011 – Dec 2015) Master in Computer Applications Coimbatore Institute of Technology, India (Jul 2005 – May 2008) B.S. in Computer Science PSG College, India (Jul 2002 – May 2005)

Research Experience

Research Assistant Professor Department of Information Systems, University of Maryland Baltimore County, USA (Mar 2023 – Current) Mentored graduate students on AI models for object identification using multimodal sensor data. Research Scientist (II) School of Computing and Information Systems, Singapore Management University, Singapore (Dec 2021 – Mar 2023) Projects on improving object detection in collaborative camera environments and fruit quality detection using RGB cameras and LiDAR. Research Scientist (I) Living Analytics Research Center, Singapore Management University, Singapore (Oct 2018 – Nov 2021) Led a project on AI-based air conditioning and lighting control for net-zero energy buildings using occupancy sensing. Assistant Professor Shiv Nadar University, India (Aug 2016 – Jul 2018) Supervised projects on cooperative strategies for IoT devices, intelligent edge devices, trust and privacy in mesh networks, and blockchain applications. Research Assistant Department of Computer Science and Engineering, Indian Institute of Technology Roorkee (Jul 2015 – Apr 2016) Worked on energy-efficient multimedia video streaming for mobile users in a cloud computing environment. Research Scholar Department of Computer Science and Engineering, Indian Institute of Technology Roorkee (Jul 2011 – Jul 2015) Focused on improving the energy efficiency of mobile devices using cloud computing.

Achievements

SMU Research Excellence Award for work on occupancy-aware energy utilization in a zero-energy building. Best Paper Award for “Mobility Managed Energy Efficient Android Mobile Devices using Cloud” at Techsym conference, IIT Kharagpur. Presented thesis at IEEE Cloud Computing Emerging Markets, Bangalore, India, October 2014. Received travel grants from Heritage Alumni Foundation (IIT Roorkee) and Microsoft Research for IEEE SOSE 2013 conference, San Francisco, USA. Fellowship from MHRD, Govt. of India, for pursuing Ph.D. at IIT Roorkee.

Research Focuse

Dr. Anuradha Ravi’s research focuses on enhancing energy efficiency and service availability for mobile devices through innovative cloud computing solutions. Her work includes developing handoff strategies for mobile cloud computing, optimizing mobile devices using cloudlets, and addressing challenges in indoor localization with server-side WiFi and camera sensing technologies. Dr. Ravi has contributed significantly to smart building management with occupancy-aware control systems. Her notable publications include studies on energy-efficient service provisioning, mobility-managed Android devices, and robust indoor localization methods. Her research bridges wireless communications, IoT, and sustainable computing, aiming to create efficient, scalable, and intelligent systems for real-world applications.

Publications

  1. OcAPO: Occupancy-Aware, PDC Control for Open-Plan, Shared Workspaces, Publication date: 2023.
  2. Robust, fine-grained occupancy estimation via combined camera & WiFi indoor localization, Publication date: 2020.
  3. Practical Server-side Indoor Localization: Tackling Cardinality & Outlier Challenges, Publication date: 2020.
  4. CS-light: camera sensing based occupancy-aware robust smart building lighting control, Publication date: 2021.
  5. Practical server-side WiFi-based indoor localization: Addressing cardinality & outlier challenges for improved occupancy estimation, Publication date: 2021.
  6. Resource Sharing For Energy Harvesting Based D2D Communication Underlaying Cellular network, Publication date: 2019.
  7. Mobile Computation Bursting: An application partitioning and offloading decision engine, Publication date: 2018.
  8. Energy-Service Trade-Off Model for Mobile Cloud Computing, Publication date: 2017.
  9. Handoff strategy for improving energy efficiency and cloud service availability for mobile devices, Publication date: 2015.
  10. Mobility managed energy efficient Android mobile devices using cloudlet, Publication date: 2014.
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He Liu | Neuromodulation | Best Researcher Award

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Assoc Prof Dr. He Liu | Neuromodulation | Best Researcher Award

PHD at China Medical University, China

He Liu, born on January 5, 1981, in China, is an esteemed anesthesiologist specializing in pain signal transduction and regulation. He earned his B.S. from Xuzhou Medical College, M.D. from Xuzhou Medical University, and Ph.D. from China Medical University. He has held significant roles, including Chief Physician at Huzhou Central Hospital and Postdoctoral Associate at NYU Abu Dhabi, focusing on neurophysiology of circadian rhythms and depression. Liu’s research expertise encompasses molecular techniques, pain model establishment, and behavioral observations, earning him notable awards like the Nature Science Foundation of China and recognition for his master’s dissertation in Jiangsu Province.

Professional Profiles

  • Scopus
  • Orcid
  • Researchgate
  • LinkedIn

Education

Xuzhou Medical College, Xuzhou, Jiangsu Degree: B.S. Year(s): 2001-2006 Field of Study: Anesthesiology Huzhou Central Hospital, Huzhou, Zhejiang Position: Resident Year(s): 2006-2008 Field of Study: Clinical Anesthesiology Xuzhou Medical University, Xuzhou, Jiangsu Degree: M.D. Year(s): 2008-2011 Field of Study: Pain Signal Transduction and Regulation China Medical University, Shenyang, Liaoning Degree: Ph.D. Year(s): 2011-2014 Field of Study: Pain Signal Transduction and Regulation The Affiliated Hospital Xuzhou Medical University, Xuzhou, Jiangsu Position: Resident Year(s): 2014-2015 Field of Study: Clinical Anesthesiology New York University Abu Dhabi Position: Postdoctoral Associate Year(s): 2015-2018 Field of Study: Neurophysiology of Circadian/Sleep Rhythm and Depression The Affiliated Hospital Xuzhou Medical University, Xuzhou, Jiangsu Position: Chief Physician Year(s): 2015-2021.2 Field of Study: Clinical Anesthesiology Huzhou Central Hospital, Huzhou, Zhejiang Position: Chief Physician Year(s): 2021.3-present Field of Study: Clinical Anesthesiology

Professional Experience

In 2011, I completed my M.D. training in the Jiangsu Key Laboratory of Anesthesiology & Jiangsu Key Laboratory of Anesthesia and Analgesia Application Technology at Xuzhou Medical College, under the instruction of my advisor, Professor Jun-li Cao. I received my Ph.D. degree from China Medical University in 2014, where I conducted my doctoral research under the instruction of Professors Jun-li Cao and Li-cai Zhang. My training equipped me with a range of techniques, including the establishment of acute and chronic pain models, molecular detection, and behavioral observations. Specifically, I mastered intradermal and intrathecal injections to create acute pain models, as well as chronic constrictive injury (CCI) and spared nerve injury (SNI) models to mimic chronic neuropathic pain in mice. I am proficient in pain-related behavior tests, including thermal withdrawal latency with a plantar analgesia meter and mechanical withdrawal threshold with an electronic Von Frey device. Additionally, I have experience detecting targeted proteins using Western blotting and immunofluorescence staining. My current research at China Medical University focuses on pain signal transduction and its regulation. My Ph.D. dissertation examined the contribution of the Cerebrospinal Fluid-Contacting Nucleus (CFCN) to pain. I employ a systematic research strategy to study the CFCN’s role in pain, from behavioral phenomena to molecular mechanisms and back to the behavioral level. In 2015, I joined Professor Chaudhury’s team at NYUAD as a Postdoctoral Associate. My current research interests involve the neurophysiology of circadian/sleep rhythms and depression. I use a multidisciplinary approach combining rodent behavioral models of depression, optogenetics, in vitro and in vivo electrophysiology, viral tracing, pharmacological methods, and imaging techniques to investigate the functional changes in neural circuits connecting the brain’s circadian clock to regions associated with mood disorders such as depression. Utilizing these techniques, I have completed several peer-reviewed publications with my colleagues.

Grant Awards & Honors

2010: Ordinary University Graduate Student Research Innovation Project of Jiangsu Province (No. CS10S-031Z) Awarding Body: Education Department of Jiangsu Province 2014: Nature Science Foundation of China (No. NSFC81300957) Awarding Body: National Natural Science Foundation of China. 2012: An Excellent Master Dissertation of Jiangsu Province Awarding Body: Academic Degree Committee of Jiangsu Province

Research Focuse

 

Publications

  1. Polyclonal antibody production anti Pc_312-324 peptide. Its potential use in electrochemical immunosensors for transgenic soybean detection, cited by: 5,  Publication date: 2020.
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Dario Ramirez | Medicinal Chemistry | Best Paper Award

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Prof Dr. Dario Ramirez | Medicinal Chemistry | Best Paper Award

PHD at the National University of San Luis, Argentina

Dario Ceferino Ramirez is a Professor and Principal Investigator at the National University of San Luis and the Chief of the Laboratory of Experimental & Translational Medicine at IMIBIO-SL-CCT-San Luis, CONICET, Argentina. He specializes in oxidative stress, inflammation, and metabolic diseases. Ramirez holds a Ph.D. in Biochemistry and an M.S. in Immunology from the National University of San Luis. His research has led to significant insights into hypoxic inflammation and its role in tumor biology and obesity. Ramirez has been recognized with numerous awards and serves on several editorial boards, contributing extensively to his field.

Professional Profiles

Professional Experience

1994-2001: National University of San Luis- CONICET, San Luis, Argentina. 2001-2008: NIH Post-Doctoral Fellow and Research Fellow, NIEHS, NIH. 2008-2011: Assistant Member, Experimental Therapeutic Research Program, OMRF, Oklahoma City, OK. 2012-2015: Professor of Molecular Genetics, Department of Biochemistry and Biological Sciences, National University of San Luis, Argentina. 2012-2014: Guest Researcher, National Institute of Environmental Health Sciences, RTP, NC, USA. 2015-present: Full Professor, Molecular and Cell Biology, UNSL, San Luis, Argentina. 2014-present: CEO, Delta Research Laboratories-Development, Innovation and Services, CONICET, Argentina. 2018-present: Principal Investigator, Chief Laboratory of Experimental & Translational Medicine, IMIBIO-SL-CCT-San Luis, CONICET, Argentina.

Honors

2023: Member, Commission Ad-Hoc PICT2022- Salud Humana y Salud Publica, FONCYT-MINCyT. 2023-present: Hop On Facility 23, HORIZON-WIDERA-2023-ACCESS-06-01. 2021-present: Cross Reader, European Innovation Council and SMEs Executive Agency (EISMEA). 2022-present: Remote evaluator and Panel Review Committee Member, HORIZON-HLTH-2022-STAYHLTH-02-01, HaDEA. 2020: Trainee Award, 27th Annual Meeting SFRBM Virtual. 2020-2023: Coordination commission CMII, RESOL-2021-63-APN-DANPIDTYI#ANPIDTYI, ANPCYT. 2019: Representing Soc. Biol. Cuyo, Argentinean Society for Clinical Research (SAIC).

Research Focuse

My research focuses on oxidative stress and inflammation caused by macrophages in response to metabolic and environmental stressors. I have developed methods to detect and prevent oxidative damage, discovering that the nitrones spin trap DMPO can be a therapeutic agent. My work highlights the role of hypoxic inflammation in tumor biology and obesity-related inflammation, exploring how monocyte infiltration and macrophage switching are influenced by these conditions. Current projects investigate the mechanisms linking lung inflammation and insulin resistance in obesity, testing natural and synthetic inhibitors of myeloperoxidase and activators of NF-kB and Nrf-2 to reduce inflammation and promote adipogenesis.

Publications

  1. Polyclonal antibody production anti Pc_312-324 peptide. Its potential use in electrochemical immunosensors for transgenic soybean detection, cited by: 5,  Publication date: 2020.
  2. Pulmonary Neutrophilic Inflammation and Noncommunicable Diseases: Pathophysiology, Redox Mechanisms, Biomarkers, and Therapeutics, Publication date: 2020.
  3. Anti-oxidant and anti-inflammatory effect of polar extracts obtained from waste product of wine making, Publication date: 2021.
  4. Effect of an Intracerebroventricular Injection of Aggregated Beta-amyloid (1-42) on Daily Rhythms of Oxidative Stress Parameters in the Prefrontal Cortex, Publication date: 2021.
  5. An intracerebroventricular injection of amyloid-beta peptide (1-42) aggregates modifies daily temporal organization of clock factors expression, protein carbonyls and antioxidant enzymes in the rat hippocampus,  Publication date: 2021.
  6. Interplay between nitric oxide and gonadotrophin-releasing hormone in the neuromodulation of the corpus luteum during late pregnancy in the rat, Publication date: 2022.
  7. Marmesin and Marmelosin Interact with the Heparan Sulfatase-2 Active Site: Potential Mechanism for Phytochemicals from Bael Fruit Extract as Antitumor Therapeutics, Publication date: 2023.
  8. An intracerebroventricular injection of AΒ (1-42) modifies temporal profiles of spatial memory performance and oxidative status in the temporal cortex rat, Publication date: 2023.
  9. β-keto amyrin isolated from Cryptostegia grandiflora R. br. inhibits inflammation caused by Daboia russellii viper venom: Direct binding of β-keto amyrin to phospholipase A2, Publication date: 2024.
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Wenke Dai | Signal Processing | Best Researcher Award

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Mr. Wenke Dai | Signal Processing | Best Researcher Award

PHD at Nanjing University of Aeronautics and Astronautics, China

Dai Wenke is a Ph.D. student at Nanjing University of Aeronautics and Astronautics, specializing in signal processing with a focus on modal analysis. He holds a master’s degree in Mechanical Engineering from Nanchang Hangkong University and a bachelor’s degree from Southwest Forestry University. With over two years of research experience, Dai has published multiple papers on damage identification and crack growth analysis. His innovative work includes developing a multi-batch Order Based Modal Analysis (OBMA) technique for large structures under rotational excitation, which enhances the accuracy of modal parameter identification with limited sensors.

Professional Profiles

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Education

Ph.D. in Mechanical Engineering (In Progress) Institution: Nanjing University of Aeronautics and Astronautics Duration: 2022-04-01 – Present Master’s Degree in Mechanical Engineering Institution: Nanchang Hangkong University Duration: 2017-09-01 – 2020-06-01 Bachelor’s Degree in Mechanical Engineering Institution: Southwest Forestry University Duration: 2013-09-01 – 2017-06-01

Academic Achievements

Damage Identification of Cracked Circular Cross Section Beam by Frequency Contour Line Method Machine Tool & Hydraulics, 2021, 49(7): 26-32. Analysis on Tooth Crack Growth Life of a Gear Pair with Double Cracks Lubrication Engineering, 2019, 44(12): 52-57. Crack Growth Rate Model Based on Modal Frequency for a V-Notched Beam Journal of Propulsion Technology, 2019, 40(11): 2571-2578.

Research, Innovations, and Extensions

No. of Research Projects Completed and Ongoing: 1 No. of Consultancy and Industry Sponsored Projects: 0 Total Cost of All Projects: 0 USD/INR No. of Journals Published in SCI and SCIE Index: 2 No. of Journals Published in Scopus, Web of Science, and PubMed Index: 1 No. of Journals Published in Other Indexes: 6

Publications

  1. Gamma-ray attenuation parameters of HDPE filled with different nano-size and Bulk WO3, cited by: 14,  Publication date: 2023.
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