Manuel Jamilena | Life Sciences | Best Researcher Award

Prof Dr. Manuel Jamilena | Life Sciences | Best Researcher Award

Full Professor of Genetics at Life Sciences, University of Almeria, Spain

Manuel Jamilena is a distinguished researcher and educator in the field of genetics, with a focus on plant genetics and genomics, vegetable breeding, and developmental genetics. He has a strong publication record and has led numerous research projects, including those funded by national and regional programs. Manuel has also collaborated with industry partners on research projects and has supervised several Ph.D. and master’s students. He has received several awards for his research and is actively involved in editorial and reviewing activities for scientific journals. Manuel’s research aims to improve the quality, nutritional properties, and stress tolerance of vegetable crops, contributing to the advancement of agricultural science.

Professional Profiles:

Education:

Manuel Jamilena completed his Ph.D. in Biology at the University of Granada in 1992. This doctoral degree provided him with a deep understanding of biological concepts and research methodologies, laying a strong foundation for his future academic and research endeavors. Through his doctoral studies, he gained expertise in plant genetics and genomics, which has been instrumental in his subsequent career as a researcher and educator in the field of genetics.

Positions:

Manuel Jamilena currently serves as a Full Professor of Genetics at the University of Almería. In this role, he is responsible for teaching and mentoring students, conducting research in the field of genetics, and contributing to the academic and research activities of the university. As a Full Professor, he holds a senior academic position and plays a key role in shaping the direction of genetics research and education at the university.

Accomplished Researcher:

Manuel Jamilena is recognized as an accomplished researcher due to his extensive contributions to the field of genetics. With a strong publication record and high h-index in both Web of Science and Scopus, he has demonstrated the impact and quality of his research. His 36 years of research experience, along with his leadership on numerous research projects and collaborations with industry, further highlight his expertise and standing in the field. Additionally, his role as a supervisor for Ph.D. and master’s students underscores his commitment to advancing research and nurturing talent in genetics. Overall, Manuel Jamilena’s achievements and contributions mark him as a leading figure in the field of genetics.

Awards & Honors:

Manuel Jamilena has been recognized with several prestigious awards for his exceptional contributions to the field of genetics and plant sciences. He received the Scientific Research Cash Award from Jazan University for three consecutive years, from 2019 to 2021, in recognition of his outstanding research and publications. In 2014, he was honored with the Best Techno Faculty Award, where he achieved fifth place out of 1450 contestants from across India in a competition organized by the ICT Academy of Tamil Nadu. Additionally, Manuel received the General Governor of Canada award for best academic achievement in 1988 for his exceptional performance in earning a Diploma of Collegial Studies (DCS) in Health Sciences, Applied Sciences, from the CEGEP of Saint-Hyacinthe, Quebec, Canada. These awards underscore Manuel Jamilena’s commitment to excellence in research and education, highlighting his significant contributions to the scientific community.

Research Interests:

Manuel Jamilena’s research interests primarily focus on plant genetics and genomics, vegetable breeding, and developmental genetics. He is particularly interested in using genomic approaches to improve the quality, nutritional properties, and postharvest characteristics of fruits and seeds in Cucurbita species. His research also explores enhancing salt stress tolerance in Cucurbita through genomic strategies. Additionally, Manuel is interested in studying the physiological and genomic aspects of ethylene/ABA and oxidative stress in relation to cold tolerance in zucchini. His research aims to contribute to the development of more resilient and high-quality vegetable crops, addressing challenges such as environmental stress and postharvest losses.

Publications:

  1. Genetic relationships among melon breeding lines revealed by RAPD markers and agronomic traits
    E Garcia, M Jamilena, JI Alvarez, T Arnedo, JL Oliver, R Lozano
    Theoretical and Applied Genetics 96, 878-885 (1998)
    Citations: 178
  2. De novo assembly of the zucchini genome reveals a whole‐genome duplication associated with the origin of the Cucurbita genus
    J Montero‐Pau, J Blanca, A Bombarely, P Ziarsolo, C Esteras, …
    Plant biotechnology journal 16 (6), 1161-1171 (2018)
    Citations: 174
  3. SINGLE FLOWER TRUSS regulates the transition and maintenance of flowering in tomato
    N Molinero-Rosales, A Latorre, M Jamilena, R Lozano
    Planta 218, 427-434 (2004)
    Citations: 140
  4. Oxidative stress associated with chilling injury in immature fruit: postharvest technological and biotechnological solutions
    JL Valenzuela, S Manzano, F Palma, F Carvajal, D Garrido, M Jamilena
    International journal of molecular sciences 18 (7), 1467 (2017)
    Citations: 137
  5. The Evolution of Reproductive Systems and Sex-Determining Mechanisms Within Rumex (Polygonaceae) Inferred from Nuclear and Chloroplastidial Sequence Data
    R Navajas-Pérez, R de la Herrán, G López González, M Jamilena, …
    Molecular Biology and Evolution 22 (9), 1929-1939 (2005)
    Citations: 126
  6. Involvement of ethylene biosynthesis and signalling in fruit set and early fruit development in zucchini squash (Cucurbita pepoL.)
    C Martínez, S Manzano, Z Megías, D Garrido, B Picó, M Jamilena
    BMC plant biology 13 (1), 1-14 (2013)
    Citations: 102
  7. Cell wall metabolism and chilling injury during postharvest cold storage in zucchini fruit
    F Carvajal, F Palma, M Jamilena, D Garrido
    Postharvest Biology and Technology 108, 68-77 (2015)
    Citations: 98
  8. The role of ethylene and brassinosteroids in the control of sex expression and flower development in Cucurbita pepo
    S Manzano, C Martínez, Z Megías, P Gómez, D Garrido, M Jamilena
    Plant Growth Regulation 65, 213-221 (2011)
    Citations: 98
  9. Accumulation of Y-specific satellite DNAs during the evolution of Rumex acetosa sex chromosomes
    B Mariotti, S Manzano, E Kejnovský, B Vyskot, M Jamilena
    Molecular Genetics and Genomics 281, 249-259 (2009)
    Citations: 95
  10. Effect of putrescine application on maintenance of zucchini fruit quality during cold storage: Contribution of GABA shunt and other related nitrogen metabolites
    F Palma, F Carvajal, JM Ramos, M Jamilena, D Garrido
    Postharvest biology and technology 99, 131-140 (2015)
    Citations: 94

Dr. Reni K. Cherian | Computer Science | Best Researcher Award

Dr. Reni K. Cherian | Computer Science | Best Researcher Award

Associate Professor at Computer Science,  Saintgits College of Engineering, India

Dr. Reni K. Cherian is an accomplished Associate Professor in the Department of Computer Science & Engineering at SAINTGITS College of Engineering, situated in Pathamuttom, Kottayam. With a strong academic background and a passion for education, she is dedicated to advancing the field of computer science through her research and teaching. Dr. Cherian’s expertise lies in areas such as Data Science, Computational Intelligence, Intrusion Detection Systems, and Education Technology. Her commitment to excellence in education has been recognized through various awards, including the Teaching and Learning Leadership Award by Indo Universal Collaboration for Engineering Education (IUCEE) in January 2024. Dr. Cherian’s work reflects her deep-seated belief in the transformative power of education and technology in shaping a better future.

Professional Profiles:

Professional Experience:

Dr. Reni K. Cherian has had a rich and varied professional journey. She currently serves as an Associate Professor at Saintgits College of Engineering, Kottayam, a position she has held since January 2022. Prior to her current role, Dr. Cherian was an Assistant Professor at the same institution for over a decade, from July 2010 to January 2022. She began her academic career at Saintgits College of Engineering, Kottayam, as a Lecturer from January 2008 to June 2010. Before her time at Saintgits, Dr. Cherian worked as a Lecturer at Mar Baselios College of Engineering & Technology, Trivandrum, from July 2005 to July 2006, and at Mar Baselios Christian College of Engineering & Technology, Idukki, from January 2004 to July 2005. She also has experience as a Guest Lecturer at Government Polytechnic College, Pathanamthitta, from June 2003 to October 2003. Prior to her academic roles, Dr. Cherian worked in the software industry, gaining valuable experience as a Software Developer at Data Systems and Softwares, Bangalore, from June 2001 to May 2003, and at Eagle Software Technologies, Pathanamthitta, from June 2000 to May 2001. Her diverse background brings a wealth of knowledge and experience to her current role in academia.

Education:

Dr. Reni K. Cherian has pursued a strong academic path, culminating in a Ph.D. in Computer Science & Engineering from Noorul Islam University, Thuckalay, which she completed in 2021. Prior to her doctoral studies, she earned a Master of Engineering (M.E.) in Computer Science & Engineering from Anna University, Chennai, in 2008. Her foundational education in this field began with a Bachelor of Engineering (B.E.) in Computer Science & Engineering from Manonmaniam Sundaranar University, Tirunelveli, in 2000. Dr. Cherian’s early academic years were at Jawahar Navodaya Vidyalaya, Pathanamthitta, where she completed her 12th grade in 1995 and her 10th grade in 1993, both under the CBSE curriculum. Her educational journey reflects a strong commitment to the field of computer science and a dedication to academic excellence.

Awards & Recognitions:

Dr. Reni K. Cherian’s dedication to excellence in education has been recognized through various awards and accolades. In June 2008, she was awarded the Fifth Rank in Master of Engineering (Computer Science & Engineering) by Anna University, Chennai, showcasing her academic prowess. Her commitment to engineering education was further highlighted in December 2019 when she achieved certification as an IGIP International Engineering Educator by The International Society for Engineering Pedagogy. Dr. Cherian’s contributions to teaching and learning were honored with the Teaching and Learning Leadership Award by Indo Universal Collaboration for Engineering Education (IUCEE) during ICTIEE in January 2024, underscoring her impact in the field.

Areas of Interest:

Dr. Reni K. Cherian’s professional interests span a wide range of topics within the field of computer science and engineering. She has a strong interest in Data Science, focusing on the analysis and interpretation of data to extract valuable insights. Her research also extends to Computational Intelligence, where she explores the development of intelligent systems capable of solving complex problems. Dr. Cherian is also actively involved in researching and implementing Intrusion Detection Systems, working to enhance the security of computer networks. Additionally, she is passionate about Education Technology, aiming to improve learning outcomes through the integration of technology in educational settings. Her diverse areas of interest reflect a deep commitment to advancing the field and exploring innovative solutions to real-world challenges.

 

 

 

Dr. Pankaj Kumar Keserwani | Computer Science | Best Research Award

Dr. Pankaj Kumar Keserwani | Computer Science | Best Research Award

Associate Professor at Computer Science, NIT Sikkim, India

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Dr. Pankaj Kumar Keserwani holds a Ph.D. in Information Security from NIT Sikkim, which was awarded in 2021. He also has a Master’s (MS-CLIS) from IIIT Allahabad, with a grade point of 8.06, awarded in 2009. Additionally, he completed a Master’s in Computer Applications (MCA) from UPTU Lucknow, with a percentage of 67.25%, awarded in 2006. His Bachelor’s degree (B.Sc.) is from Allahabad University, with a percentage of 51.8%, awarded in 2001. He completed his 12th/Higher Secondary education from U.P. Board, with a percentage of 51.8%, in 1997, and his 10th from U.P. Board, with a percentage of 59%, in 1995.

Pankaj Kumar Keserwani ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 212, Since 2018: 178
  • Citations: 212 (All), 178 (Since 2018)
  • h-index:  9 (All), 7 (Since 2018)
  • i-10index: 6 (All), 4 (Since 2018

These metrics showcase the impact of Keserwani ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Experience:

  1. Organization: National Institute of Technology Sikkim
    • Post: Assistant Professor
    • Period: From 23.06.2021 to Present (2 years, 1 month)
    • Nature of Responsibilities: Teaching and administrative
    • Employment Type: Regular
  2. Organization: National Institute of Technology Sikkim
    • Post: Assistant Professor
    • Period: From 28.12.2015 to 22.06.2021 (5 years, 6 months)
    • Nature of Responsibilities: Teaching and administrative
    • Employment Type: Contract
  3. Organization: National Institute of Technology Sikkim
    • Post: Assistant Professor
    • Period: From 01.02.2012 to 27.12.2015 (3 years, 11 months)
    • Nature of Responsibilities: Teaching and administrative
    • Employment Type: Adhoc

Academic Responsibilities:

Dr. Pankaj Kumar Keserwani has organized and participated in several workshops and Faculty Development Programs (FDPs). He served as the Coordinator for a one-week FDP on Cloud Forensics: Techniques, Challenges, and Research Directions from 18/10/2021 to 22/10/2021. Additionally, he acted as the Co-Coordinator for a two-week FDP on Computer Vision and Image Processing using Deep Learning: Research Issues and Applications from 19/12/2022 to 30/12/2022. He also served as the Convener for a four-day workshop on Data Mining and Business Analytics from 16/11/2016 to 19/11/2016.

Publications:

“A smart anomaly-based intrusion detection system for the Internet of Things (IoT) network using GWO–PSO–RF model”

Authors: PK Keserwani, MC Govil, ES Pilli, P Govil

Citations: 68

Year: 2021

Journal: Journal of Reliable Intelligent Environments

“An efficient web mining algorithm for Web Log analysis: E-Web Miner”

Authors: MP Yadav, PK Keserwani, SG Samaddar

Citations: 22

Year: 2012

Conference: 2012 1st International Conference on Recent Advances in Information …

“Air Quality Index prediction using an effective hybrid deep learning model”

Authors: N Sarkar, R Gupta, PK Keserwani, MC Govil

Citations: 21

Year: 2022

Journal: Environmental Pollution

“Information security: Components and techniques”

Authors: A Singh, A Vaish, PK Keserwani

Citations: 21

Year: 2014

Journal: International Journal of Advanced Research in Computer Science and Software …

“Research issues and challenges of wireless networks”

Authors: A Singh, A Vaish, PK Keserwani

Citations: 12

Year: 2014

Journal: International Journal of Advanced Research in Computer Science and Software …

“An effective NIDS framework based on a comprehensive survey of feature optimization and classification techniques”

Authors: PK Keserwani, MC Govil, ES Pilli

Citations: 11

Year: 2023

Journal: Neural Computing and Applications

“An optimal intrusion detection system using GWO-CSA-DSAE model”

Authors: PK Keserwani, MC Govil, E S. Pilli

Citations: 9

Year: 2021

Journal: Cyber-Physical Systems

“Digital forensic enabled image authentication using least significant bit (lsb) with tamper localization based hash function”

Authors: UK Das, SG Samaddar, PK Keserwani

Citations: 9

Year: 2018

Book: Intelligent Communication and Computational Technologies:

Mr. Bewket Sisay Melaku | Biological Sciences | Best Researcher Award

Mr. Bewket Sisay Melaku | Biological Sciences | Best Researcher Award

Dept Head and Lecturer at Biological Sciences, Debre Markos University, Ethiopia

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Mr. Bewket Sisay Melaku completed a Master of Arts in Journalism and Communications from Addis Ababa University, Addis Ababa, Ethiopia, from 02/09/2016 to 05/07/2018. His final grade was 3.82, and his thesis focused on “The Work Motivation and Job Satisfaction of Journalists Working for Addis Ababa Mass Media Agency.” The thesis can be accessed here. Additionally, he earned a Bachelor of Arts in Broadcast Journalism from Addis Ababa University, Addis Ababa, Ethiopia, from 07/09/2011 to 08/07/2014, with a final grade of 3.51. His thesis for this degree was titled “Assessing the Newsroom Structure of Ethiopian News Agency.” Furthermore, Mr. Melaku holds a Higher Diploma in Teacher Education from Debre Markos University, Debre Markos Town, Ethiopia, where his thesis focused on “How Can We Improve Test Construction Skills of Grade 10 Teachers of Ethio-Japan Debre Markos Higher Education Preparatory and General Secondary School?” Finally, he completed a Certificate of Training on Digital Media to Counter Disinformation and Hate Speech from the Radio Netherlands Training Center (RNTC) in Haarlem, Netherlands, from 05/06/2023 to 23/06/2023. 📚

Experience:

Mr. Bewket Sisay Melaku has extensive professional experience in the field of journalism and media. Since 20/10/2018, he has been employed as a Journalism and Media Lecturer at Debre Markos University in Debre Markos, Ethiopia. In this role, he teaches various journalism and media courses, conducts research in media and journalism communications, teaches audio and video editing with different software, instructs digital media, online journalism, and social media courses, and leads media productions in a multimedia lab. From 01/10/2022 to 30/11/2022, he served as a Project Associate at Mersa Media Institute in Addis Ababa, Ethiopia. In this position, he maintained and monitored project plans and schedules, organized and participated in stakeholder meetings, documented important actions and decisions from meetings, provided administrative support as needed, and developed project strategies. This role was in the Information and Communication Department of a Media and Journalism think tank NGO located at Signal, Addis Ababa, Ethiopia.

Skills:

Mr. Bewket Sisay Melaku held the position of Department Head of Journalism and Communications at Debre Markos University. In this role, he was responsible for scheduling meetings and training sessions with staff and other stakeholders, assisting with recruitment and training within the department, establishing professional relationships with staff and other stakeholders, ensuring university regulations were followed by staff at all times, organizing team-building events that took everyone’s needs into account, and maintaining relationships with clients while finding creative ways to expand the organization.

 

Assist Prof Dr. Umair Ayub | Computational Biology | Best Researcher Award

Assist Prof Dr. Umair Ayub | Computational Biology | Best Researcher Award

Assist Prof at Computational Biology, Bahria University Lahore Campus, Pakistan

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Umair Ayub has pursued a Ph.D. in Computer Science from August 2019 to December 2022 at the National University of Computer and Emerging Sciences in Islamabad, Pakistan, achieving an impressive CGPA of 3.95/4.0. His doctoral thesis focused on “Protein-Protein Interaction Network Alignment,” specifically examining the global and local alignment of two PPI networks. Prior to his Ph.D., Umair completed an MS in Computer Science from August 2016 to June 2018, with a CGPA of 3.65/4.0. His master’s thesis centered on the “Optimization of Ant-Miner (a rule-based classifier) Algorithm to Extract Accurate Classification Rules.” Umair initiated his academic journey with a BS in Computer Science from August 2012 to June 2016, earning a CGPA of 2.85/4.0. For his final year project, he worked on the “Automation of University Inventory System with Inventory Utilization Prediction and AI-based Reporting.”

Experience:

Umair Ayub’s professional journey in academia and research includes various significant roles:

  • Assistant Professor at Bahria University Lahore Campus, Lahore, Pakistan, since February 2023. In this role, he teaches computer science and data science courses at both undergraduate and graduate levels. Additionally, he serves as a member of the faculty hiring committee of the computer science department and leads the panel for final year projects.
  • Lecturer to Assistant Professor at the University of Management and Technology, Lahore, Pakistan, from September 2022 to March 2023. Here, he taught computer science courses at the undergraduate level and served as a member of the technical review committee for final-year projects.
  • Visiting Faculty Member at the National University of Computer and Emerging Sciences, Islamabad, from January 2022 to June 2022. In this position, he taught Data Structures and Algorithm Courses at the undergraduate level.
  • Research Associate at the Computational Biology Research Lab, Department of Computing, National University of Computer and Emerging Sciences, Islamabad, Pakistan, from September 2018 to August 2022. During this time, he conducted research in computational biology, machine learning, and deep learning. Additionally, he guided BS/MS students in understanding their research problems and helped them with machine learning models.

Research Projects:

Umair Ayub is currently involved in several research projects, including:

  • 3D Structure Prediction of Beta Barrel Membrane Proteins.
  • Forest of Genetic Algorithm for Functions Optimization.

Additionally, he is supervising the following MS-Thesis projects:

  • An Accurate Structure Aware Graph Convolutional Model for Extraction of Node Embeddings from Large Networks Data.
  • Impact of Different Topological Methods on PPI Network Alignment.
  • Gender and Age Group Identification using Facial Data.
  • Prediction of Autism Spectrum Disorder from Facial Data.

Research Areas:

Umair Ayub’s research areas include Machine Learning, Computational Biology, Networks Analysis, Swarm and Computational Intelligence, Statistical Modeling, and Function Optimization.

He has conducted several training workshops, including:

  • A 4-Day Training Workshop at the Bahria University Lahore Campus, Lahore. The primary objective of the workshop was to introduce students to the tools and techniques used in AI to solve complex problems.
  • A 5-day Training Workshop at the NUCES, Lahore. The primary objective of this workshop was to prepare students for research-related projects in the domain of AI in Healthcare.
  • A 5-day Training Workshop at the NUCES, Islamabad. The primary objective of this workshop was to introduce students to the AI domain with a specialty in healthcare.

 Skills:

Umair Ayub has achieved several distinctions, including being named the Punjab Educational Endowment Fund Scholar from 2016 to 2018 and earning the Bronze Medal in MS(CS) at NUCES, Islamabad. His skills include proficiency in Python, C++, LaTeX, Sklearn, Pytorch, Matplotlib, Numpy, and Linux.

Publications:

Title: “Predicting crop diseases using data mining approaches: classification” Authors: U Ayub, SA Moqurrab Year: 2018 Citations: 41

Title: “An accurate deep learning model for clinical entity recognition from clinical notes” Authors: SA Moqurrab, U Ayub, A Anjum, S Asghar, G Srivastava Year: 2021 Citations: 25

Title: “SAlign–a structure aware method for global PPI network alignment” Authors: U Ayub, I Haider, H Naveed Year: 2020 Citations: 12

Title: “PRRAT_AM—an advanced ant-miner to extract accurate and comprehensible classification rules” Authors: U Ayub, H Naveed, W Shahzad Year: 2020 Citations: 4

Title: “Opinion and emotion mining for Pakistan general election 2018 on Twitter data” Authors: S Khan, SA Moqurrab, R Sehar, U Ayub Year: 2019 Citations: 4

Title: “AMclr an improved ant-miner to extract comprehensible and diverse classification rules” Authors: U Ayub, A Ikram, W Shahzad Year: 2019 Citations: 3

Title: “BioAlign: An Accurate Global PPI Network Alignment Algorithm” Authors: U Ayub, H Naveed Year: 2022 Citations: 2

Title: “GSLAlign: community detection and local PPI network alignment” Authors: U Ayub Year: Not provided Citations: Not provided

 

Mrs. Vineetha K.V. | Computer Science | Best Researcher Award

Mrs. Vineetha K.V. | Computer Science | Best Researcher Award

Assistant Professor(Sr. Gr.) at Computer Science, Amrita Vishwa Vidyapeetham, Bangalore Campus, India

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Work Experience:

Currently working as Assistant Professor (Sr. Gr.) at Amrita Vishwa Vidyapeetham, Bangalore Campus, Karnataka, India, since January 2007. Worked as an Assistant Professor at CIT Gubbi, Karnataka, India, from April 2006 to 2007. Worked as a Guest Lecturer at Govt. Polytechnic College, Wayanad, Kerala, India, from April 2005 to 2006. Worked as an Assistant Professor at CIT Gubbi, Karnataka, India, from April 2005 to 2006. Worked as a Back Support Engineer at Reliance Infocom, Bangalore, Karnataka, India, from April 2004 to 2005.

Professional Competency:

The user possesses professional competencies including excellent communication, presentation, and interpersonal skills. They also have an aptitude for quality and creative judgment, as well as a flair for fast learning and strong analytical skills.

Areas of interest:

The user’s areas of interest, according to priority, are Computer Science and Engineering, Embedded Systems, Parallel Computing, Artificial Neural Networks, and FPGA.

Academic Profile:

Pursuing a PhD in Computer Science and Engineering at Amrita Vishwa Vidyapeetham, Bangalore Campus, Karnataka, India. Completed an M.Tech in Embedded Systems from Amrita Vishwa Vidyapeetham, Bangalore Campus, Karnataka, India. Holds a Bachelor of Engineering in Computer Science and Engineering from Bahubali College of Engineering, Shravanabelagola, Hassan, Karnataka, India. Completed Higher Secondary education from the Higher Secondary Board of Examination, Thariode, Kalpetta, Wayanad, Kerala, India. Completed Secondary Education (10th class) from GHSS Poothadi, Wayanad, Kerala, India.

Mr. Waseem Ali | Drug Repurposing | Best Researcher Award

Mr. Waseem Ali : Leading Researcher in Drug Repurposing

PhD Student at Drug Repurposing, Guru Nanak Dev Engineering College, Ludhiana, Punjab, India

He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Mr. Waseem Ali achieved academic success throughout his educational journey. In 2011, he secured a First Division in the Matriculation examination from the C.B.S.E. Board, India, with a focus on Science. Continuing his impressive performance, he obtained a Second Division in the Higher Secondary examination in 2013 from the same board. In 2016, he graduated with a Second Division from C.C.S. University, Meerut, specializing in Biotechnology with a focus on molecular biology. His commitment to excellence was further demonstrated in 2018 when he completed his Post Graduation with a First Division from Jamia Hamdard, New Delhi, specializing in Biotechnology with a focus on molecular biology.

Experience:

Mr. Waseem Ali has held several positions in the field of Biotechnology and molecular biology. From 05-08-2022 to 29-12-2022, he served as a Project Assistant at Jamia Hamdard, where he contributed to a project aiming to decipher novel targets of M.tb pathogenesis that manipulate host defenses in compromised hosts. The identified targets may be utilized to develop anti-TB agents effective against drug-resistant isolates. His supervisor during this time was Dr. Javaid A Shaikh. Prior to this, from 15-01-2019 to 04-08-2022, Mr. Ali worked as a Project Assistant at Jamia Hamdard, focusing on determining the effect of FDA-approved drugs against M.tb. He evaluated the efficacy of selected drugs against M.tb in vitro and ex vivo, using molecular docking, simulation, and biophysical methods to predict their binding affinity and effect with target proteins. His supervisors during this period were Prof. S. E. Hasnain and Dr. Sonam Grover. Currently, since 04-01-2021, Mr. Ali is pursuing his Ph.D. at Jamia Hamdard under the guidance of Prof. S. E. Hasnain and Dr. Sonam Grover, focusing on research related to drug repurposing.

Publications:

Mr. Waseem Ali has co-authored several research papers in reputable journals. In “Microbes and Infection” in 2023, he collaborated with Salma Jamal, Rishabh Gangwar, Faraz Ahmed, Isha Pahuja, Rahul Sharma, Ved Prakash Dwivedi, Meetu Agarwa, and Sonam Grover on a paper titled “Unravelling the potential of Triflusal as an anti-TB repurposed drug by targeting replication protein DciA,” which was published on 5.8. In “Molecular Informatics” in 2023, he worked with Salma Jamal, Rishabh Gangwar, Faraz Ahmed, Rahul Sharma, Meetu Agarwal, Javaid Ahmad Sheikh, Abhinav Grover, and Sonam Grover on a paper titled “Targeting of essential mycobacterial replication enzyme DnaG primase revealed Mitoxantrone and Vapreotide as novel mycobacterial growth inhibitors,” which was published on 4.05. Additionally, in “Computational and Structural Biotechnology Journal” in 2021, he contributed to a paper titled “Computational modeling and bioinformatic analyses of functional mutations in drug target genes in Mycobacterium tuberculosis,” co-authored with Pooja Singh, Salma Jamal, Faraz Ahmed, Najumu Saqib, Seema Mehra, Deodutta Roy, Nasreen Z Ehtesham, and Seyed E Hasnain. In “Journal of Translational Medicine” in 2021, Mr. Ali collaborated with Salma Jamal, Priya Nagpal, Abhinav Grover, and Sonam Grover on a paper titled “Computational models for the prediction of adverse cardiovascular drug reactions,” which was published on 8.44.