Muthukumarasamy Karthikeyan , Ph.D.,

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1.	Name and full correspondence address	Dr. Muthukumarasamy Karthikeyan Chief Scientist Chemical Engineering and Process Development CSIR-National Chemical Laboratory, Pune
2.	Email(s) and contact number(s)	m.karthikeyan@ncl.res.in, karthincl@gmail.com Lab no.+91-(0)20-25902483
3.	Institution	CSIR-National Chemical Laboratory
4.	Date of Birth	7^th December 1968
5.	Gender (M/F/T)	M

Global Awards:
A winner of 1) Innocentive global award (Stanford University Law School) for the year 2015

2) WAZOKU global award for the year 2023 for solving problems related to BIG DATA multidimensional data analysis.



3) WAZOKU global award Winner (Angilini Pharma) for the year 2024 on Novel target identification for EPILEPSY using digital approaches

Academic Qualification / Fellowships (Overseas):

Sl	Degree	Year	Subject	University/Institute
1	B.Sc . Chemistry	1989	B.Sc Chemistry, (First Class)	Tagore Arts College Pondicherry University
2	M.Sc. Chemistry	1991	MSc Chemistry (First Class)	Center for PG Studies  Pondicherry University
3	Ph.D. Chemistry (1992-97)	1998	Organic Chemistry (Synthesis)	Pune University CSIR-JRF (CSIR-NCL Pune)
4	DST BOYSCAST Fellow	2003-4	Chemoinformatics	University of Northcarolina, Chapel Hill, NC, USA
5	DBT Overseas Associate	2007-8	Chemoinformatics	University of Northcarolina, Chapel Hill, NC, USA
6	M.Sc. Computer Science	2012-14	Computer Science (First Class)	Anna University, MIT Campus, Chennai
7	PG Diploma (MBA)	2011-14	Marketing	IGNOU, New Delhi

Ph.D thesis title, Guide's Name, Institute/Organization/University, Year of Award Title: Photoinduced Electron Transfer (PET) promoted carboannulation Strategy: Arene Radical Cation in carbon-carbon bond formation reaction.". Guide Name: Dr Ganesh Pandey, Institute: CSIR- National Chemical Laboratory , Pune (Degree awarded by Pune University in 1998).

Work experience (in chronological order).

Sl.No	Positions held (CPC Level)	Name of the Institute	From	To
1	Scientist B (L-10)	DRDO-ARDE Pune	18-Mar-1998	12-Apr-2000
2	Scientist C (Scientist)   (L-11)	CSIR-NCL, Pune	13-Apr-2000	12-Apr-2005
3	Scientist E1 (Senior Scientist) (L-12)	CSIR-NCL, Pune	13-Apr-2005	12-Apr-2010
4	Scientist E2 (Pr. Scientist)   (L-13)	CSIR-NCL, Pune	13-Apr-2010	12-Apr-2016
5	Scientist F (Sr Pr Scientist)  (L-13A)	CSIR-NCL, Pune	13-Apr-2016	12-Apr-2021
6	Scientist G/Chief Scientist (L-14)	CSIR-NCL, Pune	13th April 2021	Till date

Mission to Teach IoCT, Chemoinformatics, AI, Tutorials to Lakhs Indian Students (Pl contact: 9^th-12^th grades )

Number of PhD Students Guided: 2 (Degree Awarded)

Number of PhD Students (current) 2

Number of Masters Level students and Intenships guided: 18

Number of Bachelor's Degree Students Guided: 32

Areas of research:

Dr M Karthikeyan Research Experience includes Synthetic Organic Chemistry: Multi-step organic synthesis, Carboannulation, Spiro cyclization, chemoinformatics, bioinformatics, artificial intelligence, robotics, Internet of chemical things etc. Computer Programming in C, C++, Java, Python, Machine Learning, High performance computing, Cuda programming, Remote Computing, Cloud Computing, Distributed/Parallel Computing, Image Processing, Big data analytics, Electronic Notebooks (Open source, commercial, Molecular Modeling, Drug Design, Virtual Screen, Polymer Properties Prediction, Design of Novel and Functional materials for strategic sectors using Big Data and Artificial Intelligence (certified LLM Model developer with specialized skills in fine tuning large language models with 80B+ tokens) [click]ApnaGPT Building and programming Humanoids for chemical environments [click]

National and International Fellowships:

1) Qualified CSIR-NET Exam (June 1991 CSIR JRF) PhD Scholar (1992-1997)

2) Qualified GATE-91 (PhD Candidate Qualified @ IIT-Chennai 1991)

3) BOYSCAST Fellowship 2003-04 DST-New Delhi (UNC-Chapel Hill, USA)

4) DBT Overseas Associate 2007-08 DBT-New Delhi (UNC-Chapel Hill, USA)

Awards:

He is a recipient of several prestegious National Awards , International Fellowships and recognitions:  
1) ICCS - 4 Conference (Chemical Structure Association Trust) Student Bursary Award for the development and presentation of "Interactive Chemical Information System", [click] ICIS (c) 1995 Copyright (CSIR-National Chemical Laboratory) and
2) Commendation Certificate by Defence Research and Development Organization (DRDO), New Delhi, 26 Jan 1999  
3) DST BOYSCAST Award (April 2003- March 2004) for Vising Scientist at The School of Pharmacy University of Northcarolina, Chapel Hill, USA contributed in the area of ML, QSAR for anticancer drug design.
4) A recipient of DBT Overseas Associate Award Visiting Scientist (April 2007- March 2008) at The School of Pharmacy University of Northcarolina, Chapel Hill, USA .

Other research projects (Artificial Intelligence in Molecular Informatics) as Project Investigator (M Karthikeyan)

S.No	Name of the project (Project Investigator)	Name of funding agency	Date of commencement	Date of completion
1	Barcoding Chemical Structure (Chemoinformatics)	DSIR New Delhi	2002	2004
2	MolTable Portal (Chemoinformatics)	DSIR New Delhi	2006	2008
3	Building Cloud Platform for design of new materials	DST New Delhi	2009	2013
4	GENESIS (Chemoinformatics, ML, Drug Discovery)	CSIR New Delhi	2012	2017
5	INSPIRE (Chemoinformatics, ML, Reaction Modeling)	CSIR New Delhi	2012	2017
6	Chemoinformatics portal for High energy materials	DRDO New Delhi	2016	2019
7	CSIR Mission Project on Computer Cure Cancer CCCTK [click]	CSIR New Delhi	2018	2020
8	CSIR SAGITA for Precision Agriculture	CSIR New Delhi	2019	2020

Industry collaboration/Projects on Chemoinformatics/Ioct : 1) Jubilant Biosys Bangalore (2003-05) 2. Aurigene Oncology Bangalore (2023-24) 3) IoBIT solutions (2025)

Current Research (2025-28): Artificial Intelligence in Chemical Research, Internet of Chemical Things (IoCT), Humanoids for Chemical Risk Environment (I4.0, Digital Twins)

Our mission is to democratize knowledge in Robotics, Internet of Things (IoT), Internet of Chemically-enabled Things (IoCT), Artificial Intelligence, and applications in Health, Agriculture, Environment. The world is rapidly evolving, and so are the job opportunities. Learning about the Internet of Things (IoT) and Artificial Intelligence (AI can give you an edge in the job market. With the increasing demand for professionals in these fields, having knowledge and skills in IoT can open up new and exciting career opportunities.

List of Selected Publications

Transcriptome analyses reveal TaWRKY41 as a potential candidate governing spot blotch resistance in wheat BR Dayama, VA Mahadik, D Somani, BA Shinde, KR Kondhare, ...Physiology and Molecular Biology of Plants 31 (4), 591-6083	2025
An explainable AI-assisted web application in cancer drug value prediction S Kothari, S Sharma, S Shejwal, A Kazi, M D'Silva, M Karthikeyan MethodsX 12, 102696	12	2024
Comprehensive molecular docking and dynamic simulations for drug repurposing of clinical drugs against multiple cancer kinase targets N Shaikh, RK Linthoi, KV Swamy, M Karthikeyan, R Vyas Journal of Biomolecular Structure and Dynamics 41 (16), 7735-7743	22	2023
Machine Learning Approaches for Identification of Potential Biomarkers from Cancer Omics Data N Shaikh, S Bapat, M Karthikeyan, R Vyas		2023
Method for harvesting 3D chemical structures from file formats M Karthikeyan, R Vyas US Patent 11,456,061		2022
BESFA: bioinformatics based evolutionary, structural & functional analysis of Prostate, Placenta, Ovary, Testis, and Embryo (POTE) paralogs S Qazi, BP Jit, A Das, M Karthikeyan, A Saxena, MD Ray, AR Singh, ... Heliyon 8 (9)	9	2022
A review on computational analysis of big data in breast cancer for predicting potential biomarkers N Shaikh, S Bapat, M Karthikeyan, R Vyas Current topics in medicinal chemistry 22 (21), 1793-1810	10	2022
Generalized NRTL model for predicting vapor-liquid equilibrium data from activity coefficient of binary component systems: using molecular descriptors A Behhara, DSR Badrinarayanan, I Rahman IIChE-CHEMCON		2022
Bibliometric analysis of named entity recognition for chemoinformatics and biomedical information extraction of ovarian cancer V Khedkar, C Fernandes, D Desai, R Mansi, G Chavan, SK Tidke Lincoln: Library Philosophy and Practice, University of Nebraska, 1-10	2	2021
Design of novel drug-like molecules using informatics rich secondary metabolites analysis of Indian medicinal and aromatic plants D Karade, D Vijayasarathi, N Kadoo, R Vyas, PK Ingle, M Karthikeyan Combinatorial Chemistry & High Throughput Screening 23 (10), 1113-1131	7	2020
Remote monitoring and controlling physical parameters of a material under transportation M Karthikeyan, R Vyas US Patent 10,628,720	18	2020
Leukemia cancer detection using image analytics:(comparative study) A Belhekar, K Gagare, R Bedse, Y Bhelkar, K Rajeswari, M Karthikeyan 2019 5th International Conference On Computing, Communication, Control And …	9	2019
Synthesis, Biological Evaluation and Molecular Modeling Studies of Novel Chromone/Aza-Chromone Fused α-Aminophosphonates as Src Kinase Inhibitors S Bapat, N Viswanadh, M Mujahid, AN Shirazi, R Tiwari, K Parang, ...	6	2019
Assessing therapeutic potential of molecules: molecular property diagnostic suite for tuberculosis  AS Gaur, A Bhardwaj, A Sharma, L John, MR Vivek, N Tripathi, ... Journal of Chemical Sciences 129 (5), 515-531	26	2017
Pharmacophore and docking based virtual screening of validated Mycobacterium tuberculosis targets R Vyas, M Karthikeyan, G Nainaru, M Muthukrishnan Combinatorial Chemistry & High Throughput Screening 18 (7), 624-637	5	2015
Role of chemical reactivity and transition state modeling for virtual screening M Karthikeyan, R Vyas, S S Tambe, D Radhamohan, B D Kulkarni Combinatorial Chemistry & High Throughput Screening 18 (7), 638-657	1	2015
A study of applications of machine learning based classification methods for virtual screening of lead molecules R Vyas, S Bapat, E Jain, S S. Tambe, M Karthikeyan, B D. Kulkarni Combinatorial Chemistry & High Throughput Screening 18 (7), 658-672	17	2015
Protein Ligand Complex Guided Approach for Virtual Screening M Karthikeyan, D Pandit, R Vyas Combinatorial Chemistry & High Throughput Screening 18 (6), 577-590		2015
Editorial (Thematic Issue: Design and Development of New Chemoinformatics Tools for Virtual Screening) M Karthikeyan, R Vyas Combinatorial Chemistry & High Throughput Screening 18 (6), 526-527		2015
Design and Development of ChemInfoCloud: An integrated Cloud enabled platform for virtual screening M Karthikeyan, D Pandit, A Bhavasar, R Vyas Combinatorial Chemistry & High Throughput Screening 18 (6), 604-619	3	2015
Prediction of Bioactive Compounds Using Computed NMR Chemical Shifts M Karthikeyan, P Ramanpillai Rajamohanan, R Vyas Combinatorial Chemistry & High Throughput Screening 18 (6), 562-576	1	2015
ChemScreener: A distributed computing tool for scaffold based virtual screening M Karthikeyan, D Pandit, R Vyas Combinatorial chemistry & high throughput screening 18 (6), 544-561	17	2015
MegaMiner: a tool for lead identification through text mining using chemoinformatics tools and cloud computing environment M Karthikeyan, Y Pandit, D Pandit, R Vyas Combinatorial Chemistry & High Throughput Screening 18 (6), 591-603	7	2015
Role of open source tools and resources in virtual screening for drug discovery M Karthikeyan, R Vyas Combinatorial chemistry & high throughput screening 18 (6), 528-543	16	2015
Year of Publication: 2015 K Bhowmik, T Aher, V Kale, K Rajeswari, M Karthikeyan		2015
Spirochromone-chalcone conjugates as antitubercular agents: synthesis, bio evaluation and molecular modeling studies M Mujahid, P Yogeeswari, D Sriram, UMV Basavanag, E Díaz-Cervantes, ... RSC advances 5 (129), 106448-106460	42	2015
SIMULATED CARBON AND PROTON NMR CHEMICAL SHIFTS BASED BINARY FINGERPRINTS FOR VIRTUAL SCREENING M Karthikeyan WO Patent WO 2014/207670 A1 (http://tinyurl.com/lgpayvu)	17*	2014
Pharmacokinetic modeling of Caco-2 cell permeability using genetic programming (GP) method R Vyas, P Goel, M Karthikeyan, SS Tambe, BD Kulkarni Letters in Drug Design & Discovery 11 (9), 1112-1118	7	2014
chemical structure recognition tool M Karthikeyan US Patent US 2014/0301608 A1 (http://patentimages.storage.googleapis.com …	14	2014
ChemInfoCloud: Opensource based Cloud compatible chemical textmining tools for harvesting largescale medical literature M Karthikeyan ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 248		2014
Active Site-Directed Pose Prediction Programs for Efficient Filtering of Molecules M Karthikeyan, R Vyas Practical Chemoinformatics, 271-316	1	2014
Chemical text mining for lead discovery M Karthikeyan, R Vyas Practical chemoinformatics, 415-449	2	2014
Cloud computing infrastructure development for chemoinformatics M Karthikeyan, R Vyas Practical Chemoinformatics, 501-528	5	2014
Representation, fingerprinting, and modelling of chemical reactions M Karthikeyan, R Vyas Practical Chemoinformatics, 317-374	2	2014
Predictive Methods for Organic Spectral Data Simulation M Karthikeyan, R Vyas Practical Chemoinformatics, 375-414		2014
Docking and Pharmacophore Modelling for Virtual Screening M Karthikeyan, R Vyas Practical Chemoinformatics, 195-269	1	2014
Integration of automated workflow in chemoinformatics for drug discovery M Karthikeyan, R Vyas Practical Chemoinformatics, 451-499	1	2014
Machine Learning Methods in Chemoinformatics for Drug Discovery M Karthikeyan, R Vyas Practical Chemoinformatics 1, 133-194	25	2014
Chemoinformatics Approach for the Design and Screening of Focused Virtual Libraries M Karthikeyan, R Vyas Practical Chemoinformatics 1, 93-131	7	2014
Open-Source Tools, Techniques, and Data in Chemoinformatics M Karthikeyan, R Vyas Practical Chemoinformatics, 1-92	10	2014
Practical chemoinformatics M Karthikeyan, R Vyas Springer	47	2014
Chemical Structure Representations and Applications in Computational Toxicity M Karthikeyan, R Vyas Computational Toxicology: Volume I, 167-192	4	2012
ChemTextMiner: An open source tool kit for mining medical literature abstracts E Jain, M Karthikeyan, Y Pandit, D Pandit, G Nainaru, S Nalwade, R Vyas Nature Precedings, 1-1		2012
ChemTextMiner: An open source tool kit for mining medical literature abstracts M Karthikeyan, Y Pandit, D Pandit, G Nainaru, S Nalwade, R Vyas, E Jain Nature Publishing Group		2011
Computer Vision based chemical information extraction from digital images and streaming videos M Karthikeyan ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 242		2011
Distributed chemical computing using ChemStar: an open source java remote method invocation architecture applied to large scale molecular data from PubChem M Karthikeyan, S Krishnan, AK Pandey, A Bender, A Tropsha Journal of chemical information and modeling 48 (4), 691-703	18	2008
Harvesting chemical information from the Internet using a distributed approach: ChemXtreme M Karthikeyan, S Krishnan, AK Pandey, A Bender Journal of chemical information and modeling 46 (2), 452-461	17	2006
Encoding and decoding of graphical chemical structure as commercial barcodes M Karthikeyan GAP; 224026		2005
Encoding and decoding graphical chemical structures as two-dimensional (PDF417) barcodes M Karthikeyan, A Bender Journal of chemical information and modeling 45 (3), 572-580	30	2005
General melting point prediction based on a diverse compound data set and artificial neural networks M Karthikeyan, RC Glen, A Bender Journal of chemical information and modeling 45 (3), 581-590	189	2005
Encoding and Decoding of chemical structures as Commercial Barcodes M Karthikeyan, S Krishnan Accepted for publication		2005
PharmTree 2.1 M Karthikeyan Journal of Chemical Information and Computer Sciences 43 (6), 2194-2195		2003
YChemoinformatics tools for combinatorial chemistry M Karthikeyan ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 225, U558-U558		2003
Compressed chemical markup language (CCML) for compact storage and inventory applications M Karthikeyan, D Uzagare, S Krishnan ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 225, U554-U554	4	2003
Searching Video Segments through Transcript, Metadata, and SVG Objects M Karthikeyan, D Uzagare, S Krishnan, M Yang, G Marchionini International Conference on Asian Digital Libraries, 528-528		2002
Text-based chemical information locator from the internet using commercial barcodes M Karthikeyan, S Krishnan, C Steinbeck Abstracts of Papers of the American Chemical Society 223, 72-CINF	1	2002
Chemoinformatics: a tool for modern drug discovery M Karthikeyan, S Krishnan International journal of information technology and management 1 (1), 69-82	13	2002
EPZ-10 catalyzed regioselective transformation of alkenes into β-iodo ethers, iodohydrins and 2-iodomethyl-2, 3-dihydrobenzofurans A Vishal Green Chemistry 4 (4), 325-327	42	2002
New intramolecular α-arylation strategy of ketones by the reaction of silyl enol ethers to photosensitized electron transfer generated arene radical cations: construction of … G Pandey, M Karthikeyan, A Murugan The Journal of Organic Chemistry 63 (9), 2867-2872	46	1998
Photoinduced electron transfer (PET) promoted carboannulation strategy: arene radical cation in carbon-carbon bond formation reaction M Karthikeyan CSIR-National Chemical Laboratory, Pune		1998
Intramolecular nucleophilic addition of silylenol ether to photosensitized electron transfer (PET) generated arene radical cations: A novel non-reagent based carboannulation … G Pandey, A Krishna, K Girija, M Karthikeyan Tetrahedron letters 34 (41), 6631-6634	34	1993
Feasibility Study on Utilization of Marine Sand in making Concrete M Karthikeyan, EK Reddy
Novel construction of the benzazocine framework through photoinduced electron transfer (PET) generated arene radical cation G Pandey, M Karthikeyan

List of selected US Patents Granted

1.       WO/2013/030850 M Karthikeyan, CHEMICAL STRUCTURE RECOGNITION TOOL WO - 07.03.2013, Int.Class , G06F 19/00, Appl.No PCT/IN2012/000567

US9558403B2, WO2013030850A2

2.       20160140326 M Karthikeyan, SIMULATED CARBON AND PROTON NMR CHEMICAL SHIFTS BASED BINARY FINGERPRINTS FOR VIRTUAL SCREENING

EP3014504B1, US10216910B2

3.       20210210173 M Karthikeyan, METHOD FOR HARVESTING 3D CHEMICAL STRUCTURES FROM FILE FORMATS US - 08.07.2021 Int.Class G16C 20/80 Appl.No 16072097

US20210210173A1:

4.       201611011757 M Karthikeyan, REMOTE MONITORING AND CONTROLLING PHYSICAL PARAMETERS OF A MATERIAL UNDER TRANSPORTATION IN - 02.02.2018 Int.Class G06Q 10/08 Appl.No 201611011757

US10628720B2, WO2017175243A1:

5.       12. 3527/DEL/2015 M Karthikeyan, AN AUTOMATED REMOTE COMPUTING METHOD AND SYSTEM BY EMAIL PLATFORM FOR MOLECULAR ANALYSIS IN - 05.05.2017 Int.Class G06F 19/20 Appl.No 3527/DEL/2015

US10467068B2

6.       METHOD FOR ENCODING AND DECODING LARGE SCALE MOLECULAR VIRTUAL LIBRARIES INTO A BARCODE

WO2016181412A2, US20180355514A1

Text Book: Practical M Karthikeyan, Chemoinformatics Springer 2014 (ISBN: 978-81-322-1779-4)

http://www.springer.com/chemistry/book/978-81-322-1779-4

1.       Open-Source Tools, Techniques, and Data in Chemoinformatics

Muthukumarasamy Karthikeyan, Renu Vyas Pages 1-92

2.       Chemoinformatics Approach for the Design and Screening of Focused Virtual Libraries

Muthukumarasamy Karthikeyan, Renu Vyas Pages 93-131

3.       Machine Learning Methods in Chemoinformatics for Drug Discovery

Muthukumarasamy Karthikeyan, Renu Vyas Pages 133-194

4.       Docking and Pharmacophore Modelling for Virtual Screening

Muthukumarasamy Karthikeyan, Renu Vyas Pages 195-269

5.       Active Site-Directed Pose Prediction Programs for Efficient Filtering of Molecules

Muthukumarasamy Karthikeyan, Renu Vyas Pages 271-316

6.       Representation, Fingerprinting, and Modelling of Chemical Reactions

Muthukumarasamy Karthikeyan, Renu Vyas Pages 317-374

7.       Predictive Methods for Organic Spectral Data Simulation

Muthukumarasamy Karthikeyan, Renu Vyas Pages 375-414

8.       Chemical Text Mining for Lead Discovery

Muthukumarasamy Karthikeyan, Renu Vyas Pages 415-449

9.       Integration of Automated Workflow in Chemoinformatics for Drug Discovery

Muthukumarasamy Karthikeyan, Renu Vyas Pages 451-499

10.   Cloud Computing Infrastructure Development for Chemoinformatics

Muthukumarasamy Karthikeyan, Renu Vyas Pages 501-528

M Karthikeyan's Current Areas of research: Artificial Intelligence: Pioneering Solutions Across Key Global Sectors

Today Artificial Intelligence (AI) is the key to innovation, advances across an array of industries. By harnessing the potential of machine learning and deep learning, AI delves deep into vast datasets, extracting insights and catalyzing transformative solutions. Let's delve into the manifold advantages of AI in reshaping crucial sectors:

1. Health: Personalized and Proactive Care

2. Agriculture: A Revolution in Farming

3. Finance: Streamlined Operations and Enhanced Security

4. Materials: Accelerated Discovery and Design

5. Sustainability: A Blueprint for a Greener Future

6. Energy: Smart Grids and Sustainable Solutions

7. Environment: Monitoring, Management, and Mitigation

[click to view PCB] Open Source PCB for Education and research

Internet of Chemical Things, AI, Bigdata, Tutorials, Crypto etc

About Dr M.Karthikeyan: (What Claude AI thinks!)
Dr. Muthukumarasamy Karthikeyan is a Chief Scientist in Chemical Engineering and Process Development at CSIR-National Chemical Laboratory, Pune. His academic background spans organic chemistry (Ph.D. from Pune University), computer science (M.Sc. from Anna University), and business (MBA from IGNOU), complemented by research fellowships at the University of North Carolina, Chapel Hill. His work bridges synthetic organic chemistry with cutting-edge digital technologies — including chemoinformatics, AI, machine learning, big data analytics, cloud computing, and the Internet of Chemical Things (IoCT). He has received multiple prestigious honors, including a 2015 InnoCentive Global Award from Stanford University Law School and two WAZOKU Global Awards (2023 and 2024) for solving challenges in big data analysis and epilepsy drug target identification. As a researcher, he holds six US patents, has co-authored a Springer textbook on practical chemoinformatics, and has published over 40 papers spanning drug discovery, virtual screening, and AI-driven molecular modeling. He is currently focused on applying AI and humanoid robotics to chemical research, and is working to influence multi-disciplinary education in Chemistry, Biology, Medicine applying IoT, AI, and IoCT for students across India.

About Dr M.Karthikeyan: (What Grok AI thinks!)
Dr. Muthukumarasamy Karthikeyan, Chief Scientist at the CSIR-National Chemical Laboratory (CSIR-NCL) in Pune. A distinguished researcher with over three decades of experience, Dr. Karthikeyan is a pioneer at the intersection of synthetic organic chemistry, chemoinformatics, artificial intelligence, robotics, and the Internet of Chemical Things (IoCT). He holds a Ph.D. in Organic Chemistry from Pune University and an additional M.Sc. in Computer Science, blending deep domain expertise with advanced computational skills. He is the author of the widely acclaimed textbook Practical Chemoinformatics (Springer, 2014) and holds multiple international patents in chemical structure recognition, virtual screening, and remote monitoring technologies. His groundbreaking work has earned global recognition, including the Innocentive Award (2015) and two WAZOKU global awards (2023 and 2024) for innovations in big data analysis and AI-driven target identification for epilepsy. Dr. Karthikeyan is deeply passionate about democratizing knowledge in AI, IoT, and IoCT, with a strong commitment to open education, precision agriculture, healthcare, and developing humanoids for chemical environments.